From 806fa40fc1aed4cca8d3f6df94c43827a45d800b Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 15 May 2020 11:48:23 +0200
Subject: [PATCH 001/441] apply black formatter

---
 src/py_eddy_tracker/dataset/grid.py | 1007 ++++++++++++++++++---------
 src/py_eddy_tracker/eddy_feature.py |    6 +-
 2 files changed, 697 insertions(+), 316 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 7b67dae1..fe1ea619 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2,10 +2,39 @@
 """
 """
 import logging
-from numpy import concatenate, empty, where, array, \
-    sin, deg2rad, pi, ones, cos, ma, int8, histogram2d, arange, float_, \
-    linspace, errstate, int_, interp, meshgrid, nan, ceil, sinc, isnan, \
-    percentile, zeros, arctan2, arcsin, round_, nanmean, exp, mean as np_mean
+from numpy import (
+    concatenate,
+    empty,
+    where,
+    array,
+    sin,
+    deg2rad,
+    pi,
+    ones,
+    cos,
+    ma,
+    int8,
+    histogram2d,
+    arange,
+    float_,
+    linspace,
+    errstate,
+    int_,
+    interp,
+    meshgrid,
+    nan,
+    ceil,
+    sinc,
+    isnan,
+    percentile,
+    zeros,
+    arctan2,
+    arcsin,
+    round_,
+    nanmean,
+    exp,
+    mean as np_mean,
+)
 from datetime import datetime
 from scipy.special import j1
 from netCDF4 import Dataset
@@ -31,7 +60,9 @@ def raw_resample(datas, fixed_size):
     nb_value = datas.shape[0]
     if nb_value == 1:
         raise Exception()
-    return interp(arange(fixed_size), arange(nb_value) * (fixed_size - 1) / (nb_value - 1), datas)
+    return interp(
+        arange(fixed_size), arange(nb_value) * (fixed_size - 1) / (nb_value - 1), datas
+    )
 
 
 @property
@@ -81,7 +112,9 @@ def value_on_regular_contour(x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size
 
 
 @njit(cache=True)
-def mean_on_regular_contour(x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size=None, nan_remove=False):
+def mean_on_regular_contour(
+    x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size=None, nan_remove=False
+):
     x_val, y_val = vertices[:, 0], vertices[:, 1]
     x_new, y_new = uniform_resample(x_val, y_val, num_fac, fixed_size)
     values = interp2d_geo(x_g, y_g, z_g, m_g, x_new[1:], y_new[1:])
@@ -92,7 +125,7 @@ def mean_on_regular_contour(x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size=
 
 
 def fit_circle_path(self):
-    if not hasattr(self, '_circle_params'):
+    if not hasattr(self, "_circle_params"):
         self._circle_params = _fit_circle_path(self.vertices)
     return self._circle_params
 
@@ -121,17 +154,35 @@ def _fit_circle_path(vertice):
 def _get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
     if x_stop < x_start:
         x_ref = vertices[0, 0]
-        x_array = (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360 + x_ref - 180
-        return winding_number_grid_in_poly(x_array, y_c[y_start:y_stop], x_start, x_stop, x_c.shape[0], y_start,
-                                           vertices)
+        x_array = (
+            (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360
+            + x_ref
+            - 180
+        )
+        return winding_number_grid_in_poly(
+            x_array,
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )
     else:
-        return winding_number_grid_in_poly(x_c[x_start:x_stop], y_c[y_start:y_stop], x_start, x_stop, x_c.shape[0],
-                                           y_start, vertices)
+        return winding_number_grid_in_poly(
+            x_c[x_start:x_stop],
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )
 
 
 @njit(cache=True, fastmath=True)
 def _get_pixel_in_unregular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
-    nb_x, nb_y = x_stop - x_start, y_stop -y_start
+    nb_x, nb_y = x_stop - x_start, y_stop - y_start
     wn = empty((nb_x, nb_y), dtype=numba_types.bool_)
     for i in range(nb_x):
         for j in range(nb_y):
@@ -146,7 +197,7 @@ def _get_pixel_in_unregular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop
 
 @njit(cache=True, fastmath=True)
 def coordinates_to_local(lon, lat, lon0, lat0):
-    D2R = pi / 180.
+    D2R = pi / 180.0
     R = 6370997
     dlon = (lon - lon0) * D2R
     sin_dlat = sin((lat - lat0) * 0.5 * D2R)
@@ -158,18 +209,25 @@ def coordinates_to_local(lon, lat, lon0, lat0):
 
     azimuth = pi / 2 - arctan2(
         cos_lat * sin(dlon),
-        cos_lat0 * sin(lat * D2R) - sin(lat0 * D2R) * cos_lat * cos(dlon))
+        cos_lat0 * sin(lat * D2R) - sin(lat0 * D2R) * cos_lat * cos(dlon),
+    )
     return module * cos(azimuth), module * sin(azimuth)
 
 
 @njit(cache=True, fastmath=True)
 def local_to_coordinates(x, y, lon0, lat0):
-    D2R = pi / 180.
+    D2R = pi / 180.0
     R = 6370997
-    d = (x ** 2 + y ** 2) ** .5 / R
+    d = (x ** 2 + y ** 2) ** 0.5 / R
     a = -(arctan2(y, x) - pi / 2)
     lat = arcsin(sin(lat0 * D2R) * cos(d) + cos(lat0 * D2R) * sin(d) * cos(a))
-    lon = lon0 + arctan2(sin(a) * sin(d) * cos(lat0 * D2R), cos(d) - sin(lat0 * D2R) * sin(lat)) / D2R
+    lon = (
+        lon0
+        + arctan2(
+            sin(a) * sin(d) * cos(lat0 * D2R), cos(d) - sin(lat0 * D2R) * sin(lat)
+        )
+        / D2R
+    )
     return lon, lat / D2R
 
 
@@ -177,31 +235,31 @@ def local_to_coordinates(x, y, lon0, lat0):
 
 
 def pixels_in(self, grid):
-    if not hasattr(self, '_slice'):
+    if not hasattr(self, "_slice"):
         self._slice = grid.bbox_indice(self.vertices)
-    if not hasattr(self, '_pixels_in'):
+    if not hasattr(self, "_pixels_in"):
         self._pixels_in = grid.get_pixels_in(self)
     return self._pixels_in
 
 
 @property
 def bbox_slice(self):
-    if not hasattr(self, '_slice'):
-        raise Exception('No pixels_in call before!')
+    if not hasattr(self, "_slice"):
+        raise Exception("No pixels_in call before!")
     return self._slice
 
 
 @property
 def pixels_index(self):
-    if not hasattr(self, '_slice'):
-        raise Exception('No pixels_in call before!')
+    if not hasattr(self, "_slice"):
+        raise Exception("No pixels_in call before!")
     return self._pixels_in
 
 
 @property
 def nb_pixel(self):
-    if not hasattr(self, '_pixels_in'):
-        raise Exception('No pixels_in call before!')
+    if not hasattr(self, "_pixels_in"):
+        raise Exception("No pixels_in call before!")
     return self._pixels_in[0].shape[0]
 
 
@@ -217,31 +275,31 @@ class GridDataset(object):
     """
 
     __slots__ = (
-        '_x_var',
-        '_y_var',
-        'x_c',
-        'y_c',
-        'x_bounds',
-        'y_bounds',
-        'centered',
-        'xinterp',
-        'yinterp',
-        'x_dim',
-        'y_dim',
-        'coordinates',
-        'filename',
-        'dimensions',
-        'indexs',
-        'variables_description',
-        'global_attrs',
-        'vars',
-        'interpolators',
-        'speed_coef',
-        'contours',
+        "_x_var",
+        "_y_var",
+        "x_c",
+        "y_c",
+        "x_bounds",
+        "y_bounds",
+        "centered",
+        "xinterp",
+        "yinterp",
+        "x_dim",
+        "y_dim",
+        "coordinates",
+        "filename",
+        "dimensions",
+        "indexs",
+        "variables_description",
+        "global_attrs",
+        "vars",
+        "interpolators",
+        "speed_coef",
+        "contours",
     )
 
     GRAVITY = 9.807
-    EARTH_RADIUS = 6370997.
+    EARTH_RADIUS = 6370997.0
     # EARTH_RADIUS = 6378136.3
     # indice margin (if put to 0, raise warning that i don't understand)
     N = 1
@@ -266,8 +324,9 @@ def __init__(self, filename, x_name, y_name, centered=None, indexs=None):
         self.indexs = dict() if indexs is None else indexs
         self.interpolators = dict()
         if centered is None:
-            logger.warning('We assume the position of grid is the center'
-                            ' corner for %s', filename)
+            logger.warning(
+                "We assume the position of grid is the center corner for %s", filename,
+            )
         self.load_general_features()
         self.load()
 
@@ -284,43 +343,43 @@ def is_centered(self):
     def load_general_features(self):
         """Load attrs
         """
-        logger.debug('Load general feature from %(filename)s', dict(filename=self.filename))
+        logger.debug(
+            "Load general feature from %(filename)s", dict(filename=self.filename)
+        )
         with Dataset(self.filename) as h:
             # Load generals
             self.dimensions = {i: len(v) for i, v in h.dimensions.items()}
             self.variables_description = dict()
             for i, v in h.variables.items():
                 args = (i, v.datatype)
-                kwargs = dict(
-                    dimensions=v.dimensions,
-                    zlib=True,
-                )
-                if hasattr(v, '_FillValue'):
-                    kwargs['fill_value'] = v._FillValue,
+                kwargs = dict(dimensions=v.dimensions, zlib=True,)
+                if hasattr(v, "_FillValue"):
+                    kwargs["fill_value"] = (v._FillValue,)
                 attrs = dict()
                 for attr in v.ncattrs():
                     if attr in kwargs.keys():
                         continue
-                    if attr == '_FillValue':
+                    if attr == "_FillValue":
                         continue
                     attrs[attr] = getattr(v, attr)
                 self.variables_description[i] = dict(
-                    args=args,
-                    kwargs=kwargs,
-                    attrs=attrs,
-                    infos=dict())
+                    args=args, kwargs=kwargs, attrs=attrs, infos=dict()
+                )
             self.global_attrs = {attr: getattr(h, attr) for attr in h.ncattrs()}
 
     def write(self, filename):
         """Write dataset output with same format like input
         """
-        with Dataset(filename, 'w') as h_out:
+        with Dataset(filename, "w") as h_out:
             for dimension, size in self.dimensions.items():
                 test = False
                 for varname, variable in self.variables_description.items():
-                    if varname not in self.coordinates and varname not in self.vars.keys():
+                    if (
+                        varname not in self.coordinates
+                        and varname not in self.vars.keys()
+                    ):
                         continue
-                    if dimension in variable['kwargs']['dimensions']:
+                    if dimension in variable["kwargs"]["dimensions"]:
                         test = True
                         break
                 if test:
@@ -329,12 +388,12 @@ def write(self, filename):
             for varname, variable in self.variables_description.items():
                 if varname not in self.coordinates and varname not in self.vars.keys():
                     continue
-                var = h_out.createVariable(*variable['args'], **variable['kwargs'])
-                for key, value in variable['attrs'].items():
+                var = h_out.createVariable(*variable["args"], **variable["kwargs"])
+                for key, value in variable["attrs"].items():
                     setattr(var, key, value)
 
-                infos = self.variables_description[varname]['infos']
-                if infos.get('transpose', False):
+                infos = self.variables_description[varname]["infos"]
+                if infos.get("transpose", False):
                     var[:] = self.vars[varname].T
                 else:
                     var[:] = self.vars[varname]
@@ -356,14 +415,16 @@ def load(self):
             self.vars[y_name] = h.variables[y_name][sl_y]
 
             if self.is_centered:
-                logger.info('Grid center')
+                logger.info("Grid center")
                 self.x_c = self.vars[x_name]
                 self.y_c = self.vars[y_name]
 
-                self.x_bounds = concatenate((
-                    self.x_c, (2 * self.x_c[-1] - self.x_c[-2],)))
-                self.y_bounds = concatenate((
-                    self.y_c, (2 * self.y_c[-1] - self.y_c[-2],)))
+                self.x_bounds = concatenate(
+                    (self.x_c, (2 * self.x_c[-1] - self.x_c[-2],))
+                )
+                self.y_bounds = concatenate(
+                    (self.y_c, (2 * self.y_c[-1] - self.y_c[-2],))
+                )
                 d_x = self.x_bounds[1:] - self.x_bounds[:-1]
                 d_y = self.y_bounds[1:] - self.y_bounds[:-1]
                 self.x_bounds[:-1] -= d_x / 2
@@ -385,7 +446,7 @@ def load(self):
                     self.y_c[:-1] += dy2
                     self.y_c[-1] += dy2[-1]
                 else:
-                    raise Exception('not write')
+                    raise Exception("not write")
 
         self.init_pos_interpolator()
 
@@ -395,12 +456,12 @@ def is_circular(self):
         return False
 
     def units(self, varname):
-        stored_units = self.variables_description[varname]['attrs'].get('units', None)
+        stored_units = self.variables_description[varname]["attrs"].get("units", None)
         if stored_units is not None:
             return stored_units
         with Dataset(self.filename) as h:
             var = h.variables[varname]
-            if hasattr(var, 'units'):
+            if hasattr(var, "units"):
                 return var.units
 
     def copy(self, grid_in, grid_out):
@@ -415,10 +476,10 @@ def copy(self, grid_in, grid_out):
         """
         h_dict = self.variables_description[grid_in]
         self.variables_description[grid_out] = dict(
-            infos=h_dict['infos'].copy(),
-            attrs=h_dict['attrs'].copy(),
-            args=tuple((grid_out, *h_dict['args'][1:])),
-            kwargs=h_dict['kwargs'].copy(),
+            infos=h_dict["infos"].copy(),
+            attrs=h_dict["attrs"].copy(),
+            args=tuple((grid_out, *h_dict["args"][1:])),
+            kwargs=h_dict["kwargs"].copy(),
         )
         self.vars[grid_out] = self.grid(grid_in).copy()
 
@@ -430,19 +491,33 @@ def grid(self, varname, indexs=None):
         if varname not in self.vars:
             coordinates_dims = list(self.x_dim)
             coordinates_dims.extend(list(self.y_dim))
-            logger.debug('Load %(varname)s from %(filename)s', dict(varname=varname, filename=self.filename))
+            logger.debug(
+                "Load %(varname)s from %(filename)s",
+                dict(varname=varname, filename=self.filename),
+            )
             with Dataset(self.filename) as h:
                 dims = h.variables[varname].dimensions
-                sl = [indexs.get(dim, self.indexs.get(dim, slice(None) if dim in coordinates_dims else 0)) for dim in dims]
+                sl = [
+                    indexs.get(
+                        dim,
+                        self.indexs.get(
+                            dim, slice(None) if dim in coordinates_dims else 0
+                        ),
+                    )
+                    for dim in dims
+                ]
                 self.vars[varname] = h.variables[varname][sl]
                 if len(self.x_dim) == 1:
                     i_x = where(array(dims) == self.x_dim)[0][0]
                     i_y = where(array(dims) == self.y_dim)[0][0]
                     if i_x > i_y:
-                        self.variables_description[varname]['infos']['transpose'] = True
+                        self.variables_description[varname]["infos"]["transpose"] = True
                         self.vars[varname] = self.vars[varname].T
-            if not hasattr(self.vars[varname], 'mask'):
-                self.vars[varname] = ma.array(self.vars[varname], mask=zeros(self.vars[varname].shape, dtype='bool'))
+            if not hasattr(self.vars[varname], "mask"):
+                self.vars[varname] = ma.array(
+                    self.vars[varname],
+                    mask=zeros(self.vars[varname].shape, dtype="bool"),
+                )
         return self.vars[varname]
 
     def grid_tiles(self, varname, slice_x, slice_y):
@@ -450,42 +525,70 @@ def grid_tiles(self, varname, slice_x, slice_y):
         """
         coordinates_dims = list(self.x_dim)
         coordinates_dims.extend(list(self.y_dim))
-        logger.debug('Extract %(varname)s from %(filename)s with slice(x:%(slice_x)s,y:%(slice_y)s)',
-                      dict(varname=varname, filename=self.filename, slice_y=slice_y, slice_x=slice_x))
+        logger.debug(
+            "Extract %(varname)s from %(filename)s with slice(x:%(slice_x)s,y:%(slice_y)s)",
+            dict(
+                varname=varname,
+                filename=self.filename,
+                slice_y=slice_y,
+                slice_x=slice_x,
+            ),
+        )
         with Dataset(self.filename) as h:
             dims = h.variables[varname].dimensions
-            sl = [(slice_x if dim in list(self.x_dim) else slice_y) if dim in coordinates_dims else 0 for dim in dims]
+            sl = [
+                (slice_x if dim in list(self.x_dim) else slice_y)
+                if dim in coordinates_dims
+                else 0
+                for dim in dims
+            ]
             data = h.variables[varname][sl]
             if len(self.x_dim) == 1:
                 i_x = where(array(dims) == self.x_dim)[0][0]
                 i_y = where(array(dims) == self.y_dim)[0][0]
                 if i_x > i_y:
                     data = data.T
-        if not hasattr(data, 'mask'):
-            data = ma.array(data, mask=zeros(data.shape, dtype='bool'))
+        if not hasattr(data, "mask"):
+            data = ma.array(data, mask=zeros(data.shape, dtype="bool"))
         return data
 
-    def high_filter(self, grid_name, x_cut, y_cut):
+    def high_filter(self, grid_name, w_cut, **kwargs):
         """create a high filter with a low one
         """
-        result = self._low_filter(grid_name, x_cut, y_cut)
+        result = self._low_filter(grid_name, w_cut, **kwargs)
         self.vars[grid_name] -= result
 
-    def low_filter(self, grid_name, x_cut, y_cut):
+    def low_filter(self, grid_name, w_cut, **kwargs):
         """low filtering
         """
-        result = self._low_filter(grid_name, x_cut, y_cut)
+        result = self._low_filter(grid_name, w_cut, **kwargs)
         self.vars[grid_name] -= self.vars[grid_name] - result
 
     @property
     def bounds(self):
         """Give bound
         """
-        return self.x_bounds.min(), self.x_bounds.max(), self.y_bounds.min(), self.y_bounds.max()
+        return (
+            self.x_bounds.min(),
+            self.x_bounds.max(),
+            self.y_bounds.min(),
+            self.y_bounds.max(),
+        )
 
-    def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape_error=55,
-                            array_sampling=50, pixel_limit=None, precision=None, force_height_unit=None,
-                            force_speed_unit=None):
+    def eddy_identification(
+        self,
+        grid_height,
+        uname,
+        vname,
+        date,
+        step=0.005,
+        shape_error=55,
+        array_sampling=50,
+        pixel_limit=None,
+        precision=None,
+        force_height_unit=None,
+        force_speed_unit=None,
+    ):
         """
 
         Args:
@@ -503,7 +606,7 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
 
         """
         if not isinstance(date, datetime):
-            raise Exception('Date argument be a datetime object')
+            raise Exception("Date argument be a datetime object")
         # The inf limit must be in pixel and  sup limit in surface
         if pixel_limit is None:
             pixel_limit = (4, 1000)
@@ -513,21 +616,26 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
 
         # Get unit of h grid
 
-        h_units = self.units(grid_height) if force_height_unit is None else force_height_unit
+        h_units = (
+            self.units(grid_height) if force_height_unit is None else force_height_unit
+        )
         units = UnitRegistry()
         in_h_unit = units.parse_expression(h_units)
         if in_h_unit is not None:
-            factor, _ = in_h_unit.to('m').to_tuple()
-            logger.info('We will apply on step a factor to be coherent with grid : %f', 1 / factor)
+            factor, _ = in_h_unit.to("m").to_tuple()
+            logger.info(
+                "We will apply on step a factor to be coherent with grid : %f",
+                1 / factor,
+            )
             step /= factor
             if precision is not None:
                 precision /= factor
 
         # Get h grid
-        data = self.grid(grid_height).astype('f8')
+        data = self.grid(grid_height).astype("f8")
         # In case of a reduce mask
         if len(data.mask.shape) == 0 and not data.mask:
-            data.mask = zeros(data.shape, dtype='bool')
+            data.mask = zeros(data.shape, dtype="bool")
         # we remove noisy information
         if precision is not None:
             data = (data / precision).round() * precision
@@ -536,11 +644,19 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
         d_z = z_max - z_min
         data_tmp = data[~data.mask]
         epsilon = 0.001  # in %
-        z_min_p, z_max_p = percentile(data_tmp, epsilon), percentile(data_tmp, 100 - epsilon)
+        z_min_p, z_max_p = (
+            percentile(data_tmp, epsilon),
+            percentile(data_tmp, 100 - epsilon),
+        )
         d_zp = z_max_p - z_min_p
         if d_z / d_zp > 2:
-            logger.warning('Maybe some extrema are present zmin %f (m) and zmax %f (m) will be replace by %f and %f',
-                            z_min, z_max, z_min_p, z_max_p)
+            logger.warning(
+                "Maybe some extrema are present zmin %f (m) and zmax %f (m) will be replace by %f and %f",
+                z_min,
+                z_max,
+                z_min_p,
+                z_max_p,
+            )
             z_min, z_max = z_min_p, z_max_p
 
         levels = arange(z_min - z_min % step, z_max - z_max % step + 2 * step, step)
@@ -551,9 +667,20 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
         # Compute ssh contour
         self.contours = Contours(x, y, data, levels, wrap_x=self.is_circular())
 
-        track_extra_variables = ['height_max_speed_contour', 'height_external_contour', 'height_inner_contour',
-                                 'lon_max', 'lat_max']
-        array_variables = ['contour_lon_e', 'contour_lat_e', 'contour_lon_s', 'contour_lat_s', 'uavg_profile']
+        track_extra_variables = [
+            "height_max_speed_contour",
+            "height_external_contour",
+            "height_inner_contour",
+            "lon_max",
+            "lat_max",
+        ]
+        array_variables = [
+            "contour_lon_e",
+            "contour_lat_e",
+            "contour_lon_s",
+            "contour_lat_s",
+            "uavg_profile",
+        ]
         # Compute cyclonic and anticylonic research:
         a_and_c = list()
         for anticyclonic_search in [True, False]:
@@ -564,21 +691,30 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
             for coll_ind, coll in enumerate(self.contours.iter(step=iterator)):
                 corrected_coll_index = coll_ind
                 if iterator == -1:
-                    corrected_coll_index = - coll_ind - 1
+                    corrected_coll_index = -coll_ind - 1
 
                 contour_paths = coll.get_paths()
                 nb_paths = len(contour_paths)
                 if nb_paths == 0:
                     continue
                 cvalues = self.contours.cvalues[corrected_coll_index]
-                logger.debug('doing collection %s, contour value %.4f, %d paths',
-                              corrected_coll_index, cvalues, nb_paths)
+                logger.debug(
+                    "doing collection %s, contour value %.4f, %d paths",
+                    corrected_coll_index,
+                    cvalues,
+                    nb_paths,
+                )
 
                 # Loop over individual c_s contours (i.e., every eddy in field)
                 for current_contour in contour_paths:
                     if current_contour.used:
                         continue
-                    centlon_e, centlat_e, eddy_radius_e, aerr = current_contour.fit_circle()
+                    (
+                        centlon_e,
+                        centlat_e,
+                        eddy_radius_e,
+                        aerr,
+                    ) = current_contour.fit_circle()
 
                     # Filter for shape
                     if aerr < 0 or aerr > shape_error or isnan(aerr):
@@ -600,14 +736,21 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
                     i_x_in, i_y_in = current_contour.pixels_in(self)
 
                     # Maybe limit max must be replace with a maximum of surface
-                    if current_contour.nb_pixel < pixel_limit[0] or current_contour.nb_pixel > pixel_limit[1]:
+                    if (
+                        current_contour.nb_pixel < pixel_limit[0]
+                        or current_contour.nb_pixel > pixel_limit[1]
+                    ):
                         continue
 
                     # Compute amplitude
-                    reset_centroid, amp = self.get_amplitude(current_contour, cvalues, data,
-                                                             anticyclonic_search=anticyclonic_search,
-                                                             level=self.contours.levels[corrected_coll_index],
-                                                             step=step)
+                    reset_centroid, amp = self.get_amplitude(
+                        current_contour,
+                        cvalues,
+                        data,
+                        anticyclonic_search=anticyclonic_search,
+                        level=self.contours.levels[corrected_coll_index],
+                        step=step,
+                    )
                     # If we have a valid amplitude
                     if (not amp.within_amplitude_limits()) or (amp.amplitude == 0):
                         continue
@@ -628,93 +771,160 @@ def eddy_identification(self, grid_height, uname, vname, date, step=0.005, shape
                             centlat_e = y[centi, centj]
 
                     # centlat_e and centlon_e must be index of maximum, we will loose some inner contour, if it's not
-                    max_average_speed, speed_contour, inner_contour, speed_array, i_max_speed, i_inner = \
-                        self.get_uavg(self.contours, centlon_e, centlat_e, current_contour, anticyclonic_search,
-                                      corrected_coll_index, pixel_min=pixel_limit[0])
+                    (
+                        max_average_speed,
+                        speed_contour,
+                        inner_contour,
+                        speed_array,
+                        i_max_speed,
+                        i_inner,
+                    ) = self.get_uavg(
+                        self.contours,
+                        centlon_e,
+                        centlat_e,
+                        current_contour,
+                        anticyclonic_search,
+                        corrected_coll_index,
+                        pixel_min=pixel_limit[0],
+                    )
 
                     # Use azimuth equal projection for radius
-                    proj = Proj('+proj=aeqd +ellps=WGS84 +lat_0={1} +lon_0={0}'.format(*inner_contour.mean_coordinates))
+                    proj = Proj(
+                        "+proj=aeqd +ellps=WGS84 +lat_0={1} +lon_0={0}".format(
+                            *inner_contour.mean_coordinates
+                        )
+                    )
                     # First, get position based on innermost
                     # contour
-                    centx_i, centy_i, _, _ = fit_circle(*proj(inner_contour.lon, inner_contour.lat))
+                    centx_i, centy_i, _, _ = fit_circle(
+                        *proj(inner_contour.lon, inner_contour.lat)
+                    )
                     centlon_i, centlat_i = proj(centx_i, centy_i, inverse=True)
                     # Second, get speed-based radius based on
                     # contour of max uavg
-                    centx_s, centy_s, eddy_radius_s, aerr_s = fit_circle(*proj(speed_contour.lon, speed_contour.lat))
+                    centx_s, centy_s, eddy_radius_s, aerr_s = fit_circle(
+                        *proj(speed_contour.lon, speed_contour.lat)
+                    )
                     # Computed again to be coherent with speed_radius, we will be compute in same reference
-                    _, _, eddy_radius_e, aerr_e = fit_circle(*proj(current_contour.lon, current_contour.lat))
+                    _, _, eddy_radius_e, aerr_e = fit_circle(
+                        *proj(current_contour.lon, current_contour.lat)
+                    )
                     centlon_s, centlat_s = proj(centx_s, centy_s, inverse=True)
 
                     # Instantiate new EddyObservation object (high cost need to be review)
-                    properties = EddiesObservations(size=1, track_extra_variables=track_extra_variables,
-                                                    track_array_variables=array_sampling,
-                                                    array_variables=array_variables)
-
-                    properties.obs['height_max_speed_contour'] = self.contours.cvalues[i_max_speed]
-                    properties.obs['height_external_contour'] = cvalues
-                    properties.obs['height_inner_contour'] = self.contours.cvalues[i_inner]
+                    properties = EddiesObservations(
+                        size=1,
+                        track_extra_variables=track_extra_variables,
+                        track_array_variables=array_sampling,
+                        array_variables=array_variables,
+                    )
+
+                    properties.obs["height_max_speed_contour"] = self.contours.cvalues[
+                        i_max_speed
+                    ]
+                    properties.obs["height_external_contour"] = cvalues
+                    properties.obs["height_inner_contour"] = self.contours.cvalues[
+                        i_inner
+                    ]
                     array_size = speed_array.shape[0]
-                    properties.obs['nb_contour_selected'] = array_size
+                    properties.obs["nb_contour_selected"] = array_size
                     if speed_array.shape[0] == 1:
-                        properties.obs['uavg_profile'][:] = speed_array[0]
+                        properties.obs["uavg_profile"][:] = speed_array[0]
                     else:
-                        properties.obs['uavg_profile'] = raw_resample(speed_array, array_sampling)
-                    properties.obs['amplitude'] = amp.amplitude
-                    properties.obs['radius_s'] = eddy_radius_s
-                    properties.obs['speed_average'] = max_average_speed
-                    properties.obs['radius_e'] = eddy_radius_e
-                    properties.obs['shape_error_e'] = aerr_e
-                    properties.obs['shape_error_s'] = aerr_s
-                    properties.obs['lon'] = centlon_s
-                    properties.obs['lat'] = centlat_s
-                    properties.obs['lon_max'] = centlon_i
-                    properties.obs['lat_max'] = centlat_i
-                    properties.obs['contour_lon_e'], properties.obs['contour_lat_e'] = uniform_resample(
-                        current_contour.lon, current_contour.lat, fixed_size=array_sampling)
-                    properties.obs['contour_lon_s'], properties.obs['contour_lat_s'] = uniform_resample(
-                        speed_contour.lon, speed_contour.lat, fixed_size=array_sampling)
+                        properties.obs["uavg_profile"] = raw_resample(
+                            speed_array, array_sampling
+                        )
+                    properties.obs["amplitude"] = amp.amplitude
+                    properties.obs["radius_s"] = eddy_radius_s
+                    properties.obs["speed_average"] = max_average_speed
+                    properties.obs["radius_e"] = eddy_radius_e
+                    properties.obs["shape_error_e"] = aerr_e
+                    properties.obs["shape_error_s"] = aerr_s
+                    properties.obs["lon"] = centlon_s
+                    properties.obs["lat"] = centlat_s
+                    properties.obs["lon_max"] = centlon_i
+                    properties.obs["lat_max"] = centlat_i
+                    (
+                        properties.obs["contour_lon_e"],
+                        properties.obs["contour_lat_e"],
+                    ) = uniform_resample(
+                        current_contour.lon,
+                        current_contour.lat,
+                        fixed_size=array_sampling,
+                    )
+                    (
+                        properties.obs["contour_lon_s"],
+                        properties.obs["contour_lat_s"],
+                    ) = uniform_resample(
+                        speed_contour.lon, speed_contour.lat, fixed_size=array_sampling
+                    )
                     if aerr > 99.9 or aerr_s > 99.9:
-                        logger.warning('Strange shape at this step! shape_error : %f, %f', aerr, aerr_s)
+                        logger.warning(
+                            "Strange shape at this step! shape_error : %f, %f",
+                            aerr,
+                            aerr_s,
+                        )
 
                     eddies.append(properties)
                     # To reserve definitively the area
                     data.mask[i_x_in, i_y_in] = True
             if len(eddies) == 0:
-                eddies_collection = EddiesObservations(track_extra_variables=track_extra_variables,
-                                                       track_array_variables=array_sampling,
-                                                       array_variables=array_variables)
+                eddies_collection = EddiesObservations(
+                    track_extra_variables=track_extra_variables,
+                    track_array_variables=array_sampling,
+                    array_variables=array_variables,
+                )
             else:
                 eddies_collection = EddiesObservations.concatenate(eddies)
             eddies_collection.sign_type = 1 if anticyclonic_search else -1
-            eddies_collection.obs['time'] = (date - datetime(1950, 1, 1)).total_seconds() / 86400.
+            eddies_collection.obs["time"] = (
+                date - datetime(1950, 1, 1)
+            ).total_seconds() / 86400.0
 
             # normalization longitude between 0 - 360, because storage have an offset on 180
-            eddies_collection.obs['lon_max'] %= 360
-            eddies_collection.obs['lon'] %= 360
-            ref = eddies_collection.obs['lon'] - 180
-            eddies_collection.obs['contour_lon_e'] = ((eddies_collection.obs['contour_lon_e'].T - ref) % 360 + ref).T
-            eddies_collection.obs['contour_lon_s'] = ((eddies_collection.obs['contour_lon_s'].T - ref) % 360 + ref).T
+            eddies_collection.obs["lon_max"] %= 360
+            eddies_collection.obs["lon"] %= 360
+            ref = eddies_collection.obs["lon"] - 180
+            eddies_collection.obs["contour_lon_e"] = (
+                (eddies_collection.obs["contour_lon_e"].T - ref) % 360 + ref
+            ).T
+            eddies_collection.obs["contour_lon_s"] = (
+                (eddies_collection.obs["contour_lon_s"].T - ref) % 360 + ref
+            ).T
 
             a_and_c.append(eddies_collection)
 
         if in_h_unit is not None:
-            for name in ['amplitude', 'height_max_speed_contour', 'height_external_contour', 'height_inner_contour']:
-                out_unit = units.parse_expression(VAR_DESCR[name]['nc_attr']['units'])
+            for name in [
+                "amplitude",
+                "height_max_speed_contour",
+                "height_external_contour",
+                "height_inner_contour",
+            ]:
+                out_unit = units.parse_expression(VAR_DESCR[name]["nc_attr"]["units"])
                 factor, _ = in_h_unit.to(out_unit).to_tuple()
                 a_and_c[0].obs[name] *= factor
                 a_and_c[1].obs[name] *= factor
         u_units = self.units(uname) if force_speed_unit is None else force_speed_unit
         in_u_units = units.parse_expression(u_units)
         if in_u_units is not None:
-            for name in ['speed_average', 'uavg_profile']:
-                out_unit = units.parse_expression(VAR_DESCR[name]['nc_attr']['units'])
+            for name in ["speed_average", "uavg_profile"]:
+                out_unit = units.parse_expression(VAR_DESCR[name]["nc_attr"]["units"])
                 factor, _ = in_u_units.to(out_unit).to_tuple()
                 a_and_c[0].obs[name] *= factor
                 a_and_c[1].obs[name] *= factor
         return a_and_c
 
-    def get_uavg(self, all_contours, centlon_e, centlat_e, original_contour, anticyclonic_search, level_start,
-                 pixel_min=3):
+    def get_uavg(
+        self,
+        all_contours,
+        centlon_e,
+        centlat_e,
+        original_contour,
+        anticyclonic_search,
+        level_start,
+        pixel_min=3,
+    ):
         """
         Calculate geostrophic speed around successive contours
         Returns the average
@@ -729,7 +939,9 @@ def get_uavg(self, all_contours, centlon_e, centlat_e, original_contour, anticyc
         step = 1 if anticyclonic_search else -1
         i_inner = i_max_speed = -1
 
-        for i, coll in enumerate(all_contours.iter(start=level_start + step, step=step)):
+        for i, coll in enumerate(
+            all_contours.iter(start=level_start + step, step=step)
+        ):
             level_contour = coll.get_nearest_path_bbox_contain_pt(centlon_e, centlat_e)
             # Leave loop if no contours at level
             if level_contour is None:
@@ -743,7 +955,10 @@ def get_uavg(self, all_contours, centlon_e, centlat_e, original_contour, anticyc
             # Interpolate uspd to seglon, seglat, then get mean
             level_average_speed = self.speed_coef_mean(level_contour)
             speed_array.append(level_average_speed)
-            if pixel_min < level_contour.nb_pixel and level_average_speed >= max_average_speed:
+            if (
+                pixel_min < level_contour.nb_pixel
+                and level_average_speed >= max_average_speed
+            ):
                 max_average_speed = level_average_speed
                 i_max_speed = i
                 selected_contour = level_contour
@@ -754,10 +969,17 @@ def get_uavg(self, all_contours, centlon_e, centlat_e, original_contour, anticyc
             contour.used = True
         i_max_speed = level_start + step + step * i_max_speed
         i_inner = level_start + step + step * i_inner
-        return max_average_speed, selected_contour, inner_contour, array(speed_array), i_max_speed, i_inner
+        return (
+            max_average_speed,
+            selected_contour,
+            inner_contour,
+            array(speed_array),
+            i_max_speed,
+            i_inner,
+        )
 
     @staticmethod
-    def _gaussian_filter(data, sigma, mode='reflect'):
+    def _gaussian_filter(data, sigma, mode="reflect"):
         """Standard gaussian filter
         """
         local_data = data.copy()
@@ -766,11 +988,13 @@ def _gaussian_filter(data, sigma, mode='reflect'):
         v = gaussian_filter(local_data, sigma=sigma, mode=mode)
         w = gaussian_filter(float_(~data.mask), sigma=sigma, mode=mode)
 
-        with errstate(invalid='ignore'):
+        with errstate(invalid="ignore"):
             return ma.array(v / w, mask=w == 0)
 
     @staticmethod
-    def get_amplitude(contour, contour_height, data, anticyclonic_search=True, level=None, step=None):
+    def get_amplitude(
+        contour, contour_height, data, anticyclonic_search=True, level=None, step=None
+    ):
         # Instantiate Amplitude object
         amp = Amplitude(
             # Indices of all pixels in contour
@@ -780,7 +1004,8 @@ def get_amplitude(contour, contour_height, data, anticyclonic_search=True, level
             # All grid
             data=data,
             # Step by level
-            interval=step)
+            interval=step,
+        )
 
         if anticyclonic_search:
             reset_centroid = amp.all_pixels_above_h0(level)
@@ -795,8 +1020,8 @@ class UnRegularGridDataset(GridDataset):
     """
 
     __slots__ = (
-        'index_interp',
-        '_speed_norm',
+        "index_interp",
+        "_speed_norm",
     )
 
     def load(self):
@@ -817,16 +1042,26 @@ def load(self):
 
             self.init_pos_interpolator()
 
+    @property
+    def bounds(self):
+        """Give bound
+        """
+        return self.x_c.min(), self.x_c.max(), self.y_c.min(), self.y_c.max()
+
     def bbox_indice(self, vertices):
         dist, idx = self.index_interp.query(vertices, k=1)
         i_y = idx % self.x_c.shape[1]
         i_x = int_((idx - i_y) / self.x_c.shape[1])
-        return (max(i_x.min() - self.N, 0), i_x.max() + self.N + 1), \
-               (max(i_y.min() - self.N, 0), i_y.max() + self.N + 1)
+        return (
+            (max(i_x.min() - self.N, 0), i_x.max() + self.N + 1),
+            (max(i_y.min() - self.N, 0), i_y.max() + self.N + 1),
+        )
 
     def get_pixels_in(self, contour):
         (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
-        return _get_pixel_in_unregular(contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop)
+        return _get_pixel_in_unregular(
+            contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
+        )
 
     def normalize_x_indice(self, indices):
         """Not do"""
@@ -842,11 +1077,12 @@ def compute_pixel_path(self, x0, y0, x1, y1):
         pass
 
     def init_pos_interpolator(self):
-        logger.debug('Create a KdTree could be long ...')
+        logger.debug("Create a KdTree could be long ...")
         self.index_interp = cKDTree(
-            prepare_for_kdtree(self.x_c.reshape(-1), self.y_c.reshape(-1)))
+            prepare_for_kdtree(self.x_c.reshape(-1), self.y_c.reshape(-1))
+        )
 
-        logger.debug('... OK')
+        logger.debug("... OK")
 
     def _low_filter(self, grid_name, x_cut, y_cut, factor=40.):
         data = self.grid(grid_name)
@@ -889,14 +1125,16 @@ def _low_filter(self, grid_name, x_cut, y_cut, factor=40.):
         return ma.array(z_interp, mask=m_interp.ev(x, y) > 0.00001)
 
     def speed_coef_mean(self, contour):
-        dist, idx = self.index_interp.query(uniform_resample_stack(contour.vertices)[1:], k=4)
+        dist, idx = self.index_interp.query(
+            uniform_resample_stack(contour.vertices)[1:], k=4
+        )
         i_y = idx % self.x_c.shape[1]
         i_x = int_((idx - i_y) / self.x_c.shape[1])
         # A simplified solution to be change by a weight mean
         return self._speed_norm[i_x, i_y].mean(axis=1).mean()
 
-    def init_speed_coef(self, uname='u', vname='v'):
-        self._speed_norm = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** .5
+    def init_speed_coef(self, uname="u", vname="v"):
+        self._speed_norm = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
 
 class RegularGridDataset(GridDataset):
@@ -904,11 +1142,11 @@ class RegularGridDataset(GridDataset):
     """
 
     __slots__ = (
-        '_speed_ev',
-        '_is_circular',
-        'x_size',
-        '_x_step',
-        '_y_step',
+        "_speed_ev",
+        "_is_circular",
+        "x_size",
+        "_x_step",
+        "_y_step",
     )
 
     def __init__(self, *args, **kwargs):
@@ -918,6 +1156,7 @@ def __init__(self, *args, **kwargs):
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 
+
     def init_pos_interpolator(self):
         """Create function to have a quick index interpolator
         """
@@ -925,18 +1164,30 @@ def init_pos_interpolator(self):
         self.yinterp = arange(self.y_bounds.shape[0])
 
     def bbox_indice(self, vertices):
-        return bbox_indice_regular(vertices, self.x_bounds, self.y_bounds, self.xstep, self.ystep,
-                                   self.N, self.is_circular(), self.x_size)
+        return bbox_indice_regular(
+            vertices,
+            self.x_bounds,
+            self.y_bounds,
+            self.xstep,
+            self.ystep,
+            self.N,
+            self.is_circular(),
+            self.x_size,
+        )
 
     def get_pixels_in(self, contour):
         (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
-        return _get_pixel_in_regular(contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop)
+        return _get_pixel_in_regular(
+            contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
+        )
 
     def normalize_x_indice(self, indices):
         return indices % self.x_size
 
     def nearest_grd_indice(self, x, y):
-        return _nearest_grd_indice(x,y, self.x_bounds, self.y_bounds, self.xstep, self.ystep)
+        return _nearest_grd_indice(
+            x, y, self.x_bounds, self.y_bounds, self.xstep, self.ystep
+        )
 
     @property
     def xstep(self):
@@ -954,8 +1205,16 @@ def compute_pixel_path(self, x0, y0, x1, y1):
         """Give a series of index which describe the path between to position
         """
         return compute_pixel_path(
-            x0, y0, x1, y1,
-            self.x_bounds[0], self.y_bounds[0], self.xstep, self.ystep, self.x_size)
+            x0,
+            y0,
+            x1,
+            y1,
+            self.x_bounds[0],
+            self.y_bounds[0],
+            self.xstep,
+            self.ystep,
+            self.x_size,
+        )
 
     def clean_land(self):
         """Function to remove all land pixel
@@ -966,7 +1225,9 @@ def is_circular(self):
         """Check if grid is circular
         """
         if self._is_circular is None:
-            self._is_circular = abs((self.x_bounds[0] % 360) - (self.x_bounds[-1] % 360)) < 0.0001
+            self._is_circular = (
+                abs((self.x_bounds[0] % 360) - (self.x_bounds[-1] % 360)) < 0.0001
+            )
         return self._is_circular
 
     def kernel_lanczos(self, lat, wave_length, order=1):
@@ -974,25 +1235,30 @@ def kernel_lanczos(self, lat, wave_length, order=1):
         # wave_length in km
         # order must be int
         if order < 1:
-            logger.warning('order must be superior to 0')
+            logger.warning("order must be superior to 0")
         order = ceil(order).astype(int)
         # Estimate size of kernel
         step_y_km = self.ystep * distance(0, 0, 0, 1) / 1000
         step_x_km = self.xstep * distance(0, lat, 1, lat) / 1000
         # half size will be multiply with by order
-        half_x_pt, half_y_pt = ceil(wave_length / step_x_km).astype(int), ceil(wave_length / step_y_km).astype(int)
+        half_x_pt, half_y_pt = (
+            ceil(wave_length / step_x_km).astype(int),
+            ceil(wave_length / step_y_km).astype(int),
+        )
 
         y = arange(
             lat - self.ystep * half_y_pt * order,
             lat + self.ystep * half_y_pt * order + 0.01 * self.ystep,
-            self.ystep)
+            self.ystep,
+        )
         x = arange(
             -self.xstep * half_x_pt * order,
             self.xstep * half_x_pt * order + 0.01 * self.xstep,
-            self.xstep)
+            self.xstep,
+        )
 
         y, x = meshgrid(y, x)
-        dist_norm = distance(0, lat, x, y) / 1000. / wave_length
+        dist_norm = distance(0, lat, x, y) / 1000.0 / wave_length
 
         # sinc(d_x) and sinc(d_y) are windows and bessel function give an equivalent of sinc for lanczos filter
         kernel = sinc(dist_norm / order) * sinc(dist_norm)
@@ -1003,35 +1269,42 @@ def kernel_bessel(self, lat, wave_length, order=1):
         # wave_length in km
         # order must be int
         if order < 1:
-            logger.warning('order must be superior to 0')
+            logger.warning("order must be superior to 0")
         order = ceil(order).astype(int)
         # Estimate size of kernel
         step_y_km = self.ystep * distance(0, 0, 0, 1) / 1000
         step_x_km = self.xstep * distance(0, lat, 1, lat) / 1000
         min_wave_length = max(step_x_km * 2, step_y_km * 2)
         if wave_length < min_wave_length:
-            logger.error('Wave_length to short for resolution, must be > %d km', ceil(min_wave_length))
+            logger.error(
+                "Wave_length to short for resolution, must be > %d km",
+                ceil(min_wave_length),
+            )
             raise Exception()
         # half size will be multiply with by order
-        half_x_pt, half_y_pt = ceil(wave_length / step_x_km).astype(int), ceil(wave_length / step_y_km).astype(int)
+        half_x_pt, half_y_pt = (
+            ceil(wave_length / step_x_km).astype(int),
+            ceil(wave_length / step_y_km).astype(int),
+        )
         # x size is not good over 60 degrees
         y = arange(
             lat - self.ystep * half_y_pt * order,
             lat + self.ystep * half_y_pt * order + 0.01 * self.ystep,
-            self.ystep)
+            self.ystep,
+        )
         # We compute half + 1 and the other part will be compute by symetry
         x = arange(0, self.xstep * half_x_pt * order + 0.01 * self.xstep, self.xstep)
         y, x = meshgrid(y, x)
-        dist_norm = distance(0, lat, x, y) / 1000. / wave_length
+        dist_norm = distance(0, lat, x, y) / 1000.0 / wave_length
         # sinc(d_x) and sinc(d_y) are windows and bessel function give an equivalent of sinc for lanczos filter
-        with errstate(invalid='ignore'):
+        with errstate(invalid="ignore"):
             kernel = sinc(dist_norm / order) * j1(2 * pi * dist_norm) / dist_norm
         kernel[0, half_y_pt * order] = pi
         kernel[dist_norm > order] = 0
         # Symetry
         kernel_ = empty((half_x_pt * 2 * order + 1, half_y_pt * 2 * order + 1))
-        kernel_[half_x_pt * order:] = kernel
-        kernel_[:half_x_pt * order] = kernel[:0:-1]
+        kernel_[half_x_pt * order :] = kernel
+        kernel_[: half_x_pt * order] = kernel[:0:-1]
         # remove unused row/column
         k_valid = kernel_ != 0
         x_valid = where(k_valid.sum(axis=1))[0]
@@ -1040,24 +1313,18 @@ def kernel_bessel(self, lat, wave_length, order=1):
         y_slice = slice(y_valid[0], y_valid[-1] + 1)
         return kernel_[x_slice, y_slice]
 
-    def _low_filter(self, grid_name, x_cut, y_cut):
+    def _low_filter(self, grid_name, w_cut, **kwargs):
         """low filtering
         """
-        i_x, i_y = x_cut * 0.125 / self.xstep, y_cut * 0.125 / self.xstep
-        logger.info(
-            'Filtering with this wave : (%s, %s) converted in pixel (%s, %s)',
-            x_cut, y_cut, i_x, i_y
+        return self.convolve_filter_with_dynamic_kernel(
+            grid_name, self.kernel_bessel, lat_max=lat_max, wave_length=w_cut, **kwargs
         )
-        data = self.grid(grid_name).copy()
-        data[data.mask] = 0
-        return self._gaussian_filter(
-            data,
-            (i_x, i_y),
-            mode='wrap' if self.is_circular() else 'reflect')
-
-    def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, extend=False, **kwargs_func):
+
+    def convolve_filter_with_dynamic_kernel(
+        self, grid, kernel_func, lat_max=85, extend=False, **kwargs_func
+    ):
         if (abs(self.y_c) > lat_max).any():
-            logger.warning('No filtering above %f degrees of latitude', lat_max)
+            logger.warning("No filtering above %f degrees of latitude", lat_max)
         if isinstance(grid, str):
             data = self.grid(grid).copy()
         else:
@@ -1067,9 +1334,9 @@ def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, ext
         data_out.mask = ones(data_out.shape, dtype=bool)
         nb_lines = self.y_c.shape[0]
         dt = list()
-        
+
         debug_active = logger.getEffectiveLevel() == logging.DEBUG
-        
+
         for i, lat in enumerate(self.y_c):
             if abs(lat) > lat_max or data[:, i].mask.all():
                 data_out.mask[:, i] = True
@@ -1081,7 +1348,16 @@ def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, ext
             t0 = datetime.now()
             if debug_active and len(dt) > 0:
                 dt_mean = np_mean(dt) * (nb_lines - i)
-                print('Remain ', dt_mean, 'ETA ', t0 + dt_mean, 'current kernel size :', k_shape, 'Step : %d/%d    ' % (i, nb_lines), end="\r")
+                print(
+                    "Remain ",
+                    dt_mean,
+                    "ETA ",
+                    t0 + dt_mean,
+                    "current kernel size :",
+                    k_shape,
+                    "Step : %d/%d    " % (i, nb_lines),
+                    end="\r",
+                )
 
             # Half size, k_shape must be always impair
             d_lat = int((k_shape[1] - 1) / 2)
@@ -1092,7 +1368,9 @@ def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, ext
             # Slice to apply on input data
             sl_lat_data = slice(max(0, i - d_lat), min(i + d_lat, data.shape[1]))
             # slice to apply on temporary matrix to store input data
-            sl_lat_in = slice(d_lat - (i - sl_lat_data.start), d_lat + (sl_lat_data.stop - i))
+            sl_lat_in = slice(
+                d_lat - (i - sl_lat_data.start), d_lat + (sl_lat_data.stop - i)
+            )
             # If global => manual wrapping
             if self.is_circular():
                 tmp_matrix[:d_lon, sl_lat_in] = data[-d_lon:, sl_lat_data]
@@ -1106,9 +1384,12 @@ def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, ext
             demi_x, demi_y = k_shape[0] // 2, k_shape[1] // 2
             values_sum = filter2D(tmp_matrix.data, -1, kernel)[demi_x:-demi_x, demi_y]
             kernel_sum = filter2D(m.astype(float), -1, kernel)[demi_x:-demi_x, demi_y]
-            with errstate(invalid='ignore'):
+            with errstate(invalid="ignore"):
                 if extend:
-                    data_out[:, i] = ma.array(values_sum / kernel_sum, mask=kernel_sum < (extend * kernel.sum()))
+                    data_out[:, i] = ma.array(
+                        values_sum / kernel_sum,
+                        mask=kernel_sum < (extend * kernel.sum()),
+                    )
                 else:
                     data_out[:, i] = values_sum / kernel_sum
             dt.append(datetime.now() - t0)
@@ -1124,44 +1405,74 @@ def convolve_filter_with_dynamic_kernel(self, grid, kernel_func, lat_max=85, ext
             return out.astype(data.dtype)
         return out
 
-    def lanczos_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
+    def lanczos_high_filter(
+        self, grid_name, wave_length, order=1, lat_max=85, **kwargs
+    ):
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_lanczos, lat_max=lat_max, wave_length=wave_length, order=order, **kwargs)
+            grid_name,
+            self.kernel_lanczos,
+            lat_max=lat_max,
+            wave_length=wave_length,
+            order=order,
+            **kwargs
+        )
         self.vars[grid_name] -= data_out
 
     def lanczos_low_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_lanczos, lat_max=lat_max, wave_length=wave_length, order=order, **kwargs)
+            grid_name,
+            self.kernel_lanczos,
+            lat_max=lat_max,
+            wave_length=wave_length,
+            order=order,
+            **kwargs
+        )
         self.vars[grid_name] = data_out
 
     def bessel_band_filter(self, grid_name, wave_length_inf, wave_length_sup, **kwargs):
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_bessel, wave_length=wave_length_inf, **kwargs)
+            grid_name, self.kernel_bessel, wave_length=wave_length_inf, **kwargs
+        )
         self.vars[grid_name] = data_out
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_bessel, wave_length=wave_length_sup, **kwargs)
+            grid_name, self.kernel_bessel, wave_length=wave_length_sup, **kwargs
+        )
         self.vars[grid_name] -= data_out
 
     def bessel_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
-        logger.debug('Run filtering with wave of %(wave_length)s km and order of %(order)s ...',
-                      dict(wave_length=wave_length, order=order))
+        logger.debug(
+            "Run filtering with wave of %(wave_length)s km and order of %(order)s ...",
+            dict(wave_length=wave_length, order=order),
+        )
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_bessel, lat_max=lat_max, wave_length=wave_length, order=order, **kwargs)
-        logger.debug('Filtering done')
+            grid_name,
+            self.kernel_bessel,
+            lat_max=lat_max,
+            wave_length=wave_length,
+            order=order,
+            **kwargs
+        )
+        logger.debug("Filtering done")
         self.vars[grid_name] -= data_out
 
     def bessel_low_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
         data_out = self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_bessel, lat_max=lat_max, wave_length=wave_length, order=order, **kwargs)
+            grid_name,
+            self.kernel_bessel,
+            lat_max=lat_max,
+            wave_length=wave_length,
+            order=order,
+            **kwargs
+        )
         self.vars[grid_name] = data_out
 
     def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
         if area is None:
             area = dict(llcrnrlon=190, urcrnrlon=280, llcrnrlat=-62, urcrnrlat=8)
-        scaling = kwargs.pop('scaling', 'density')
-        ref_grid_name = kwargs.pop('ref_grid_name', None)
-        x0, y0 = self.nearest_grd_indice(area['llcrnrlon'], area['llcrnrlat'])
-        x1, y1 = self.nearest_grd_indice(area['urcrnrlon'], area['urcrnrlat'])
+        scaling = kwargs.pop("scaling", "density")
+        ref_grid_name = kwargs.pop("ref_grid_name", None)
+        x0, y0 = self.nearest_grd_indice(area["llcrnrlon"], area["llcrnrlat"])
+        x1, y1 = self.nearest_grd_indice(area["urcrnrlon"], area["urcrnrlat"])
 
         data = self.grid(grid_name)[x0:x1, y0:y1]
 
@@ -1176,7 +1487,7 @@ def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
                 continue
             pws.append(pw)
         if nb_invalid:
-            logger.warning('%d/%d columns invalid', nb_invalid, i + 1)
+            logger.warning("%d/%d columns invalid", nb_invalid, i + 1)
         lat_content = 1 / f, array(pws).mean(axis=0)
 
         # Lon spectrum
@@ -1198,23 +1509,31 @@ def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
             fs.append(f)
             pws.append(pw)
         if nb_invalid:
-            logger.warning('%d/%d lines invalid', nb_invalid, i + 1)
+            logger.warning("%d/%d lines invalid", nb_invalid, i + 1)
         f_interp = linspace(f_min, f_max, f.shape[0])
         pw_m = array(
-            [interp1d(f, pw, fill_value=0., bounds_error=False)(f_interp) for f, pw in zip(fs, pws)]).mean(axis=0)
+            [
+                interp1d(f, pw, fill_value=0.0, bounds_error=False)(f_interp)
+                for f, pw in zip(fs, pws)
+            ]
+        ).mean(axis=0)
         lon_content = 1 / f_interp, pw_m
         if ref is None:
             return lon_content, lat_content
         else:
             if ref_grid_name is not None:
                 grid_name = ref_grid_name
-            ref_lon_content, ref_lat_content = ref.spectrum_lonlat(grid_name, area, **kwargs)
-            return (lon_content[0], lon_content[1] / ref_lon_content[1]), \
-                   (lat_content[0], lat_content[1] / ref_lat_content[1])
+            ref_lon_content, ref_lat_content = ref.spectrum_lonlat(
+                grid_name, area, **kwargs
+            )
+            return (
+                (lon_content[0], lon_content[1] / ref_lon_content[1]),
+                (lat_content[0], lat_content[1] / ref_lat_content[1]),
+            )
 
-    def compute_finite_difference(self, data, schema=1, mode='reflect', vertical=False):
+    def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=False):
         if not isinstance(schema, int) and schema < 1:
-            raise Exception('schema must be a positive int')
+            raise Exception("schema must be a positive int")
 
         data2 = data.copy()
         data1 = data.copy()
@@ -1227,7 +1546,7 @@ def compute_finite_difference(self, data, schema=1, mode='reflect', vertical=Fal
         else:
             data1[:-schema] = data[schema:]
             data2[schema:] = data[:-schema]
-            if mode == 'wrap':
+            if mode == "wrap":
                 data1[-schema:] = data[:schema]
                 data2[:schema] = data[-schema:]
             else:
@@ -1235,23 +1554,26 @@ def compute_finite_difference(self, data, schema=1, mode='reflect', vertical=Fal
                 data1[-schema:] = nan
                 data2[:schema] = nan
 
+        d = self.EARTH_RADIUS * 2 * pi / 360 * 2 * schema
         if vertical:
-            d = self.EARTH_RADIUS * 2 * pi / 360 * 2 * schema * self.ystep
+            d *= self.ystep
         else:
-            d = self.EARTH_RADIUS * 2 * pi / 360 * 2 * schema * self.xstep * cos(deg2rad(self.y_c))
+            d *= self.xstep * cos(deg2rad(self.y_c))
         return (data1 - data2) / d
 
-    def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=False):
+    def compute_stencil(
+        self, data, stencil_halfwidth=4, mode="reflect", vertical=False
+    ):
         stencil_halfwidth = max(min(int(stencil_halfwidth), 4), 1)
-        logger.debug('Stencil half width apply : %d', stencil_halfwidth)
+        logger.debug("Stencil half width apply : %d", stencil_halfwidth)
         # output
         grad = None
 
         weights = [
-            array((3, -32, 168, -672, 0, 672, -168, 32, -3)) / 840.,
-            array((-1, 9, -45, 0, 45, -9, 1)) / 60.,
-            array((1, -8, 0, 8, -1)) / 12.,
-            array((-1, 0, 1)) / 2.,
+            array((3, -32, 168, -672, 0, 672, -168, 32, -3)) / 840.0,
+            array((-1, 9, -45, 0, 45, -9, 1)) / 60.0,
+            array((1, -8, 0, 8, -1)) / 12.0,
+            array((-1, 0, 1)) / 2.0,
             # uncentered kernel
             # like array((0, -1, 1)) but left value could be default value
             array((-1, 1)),
@@ -1259,7 +1581,7 @@ def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=Fa
             (1, array((-1, 1))),
         ]
         # reduce to stencil selected
-        weights = weights[4 - stencil_halfwidth:]
+        weights = weights[4 - stencil_halfwidth :]
         if vertical:
             data = data.T
         # Iteration from larger stencil to smaller (to fill matrix)
@@ -1275,7 +1597,9 @@ def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=Fa
                 data_ = data
             # Delta h
             d_h = convolve(data_, weights=weight.reshape((-1, 1)), mode=mode)
-            mask = convolve(int8(data_.mask), weights=ones(weight.shape).reshape((-1, 1)), mode=mode)
+            mask = convolve(
+                int8(data_.mask), weights=ones(weight.shape).reshape((-1, 1)), mode=mode
+            )
             d_h = ma.array(d_h, mask=mask != 0)
 
             # Delta d
@@ -1283,7 +1607,7 @@ def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=Fa
                 d_h = d_h.T
                 d = self.EARTH_RADIUS * 2 * pi / 360 * convolve(self.y_c, weight)
             else:
-                if mode == 'wrap':
+                if mode == "wrap":
                     # Along x axis, we need to close
                     # we will compute in two part
                     x = self.x_c % 360
@@ -1294,7 +1618,14 @@ def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=Fa
                     d_degrees[m] = d_degrees_180[m]
                 else:
                     d_degrees = convolve(self.x_c, weight, mode=mode)
-                d = self.EARTH_RADIUS * 2 * pi / 360 * d_degrees.reshape((-1, 1)) * cos(deg2rad(self.y_c))
+                d = (
+                    self.EARTH_RADIUS
+                    * 2
+                    * pi
+                    / 360
+                    * d_degrees.reshape((-1, 1))
+                    * cos(deg2rad(self.y_c))
+                )
             if grad is None:
                 # First Gradient
                 grad = d_h / d
@@ -1303,78 +1634,125 @@ def compute_stencil(self, data, stencil_halfwidth=4, mode='reflect', vertical=Fa
                 grad[grad.mask] = (d_h / d)[grad.mask]
         return grad
 
-    def add_uv_lagerloef(self, grid_height, uname='u', vname='v', schema=15):
+    def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
         self.add_uv(grid_height, uname, vname)
         latmax = 5
         _, (i_start, i_end) = self.nearest_grd_indice((0, 0), (-latmax, latmax))
         sl = slice(i_start, i_end)
         # Divide by sideral day
         lat = self.y_c[sl]
-        gob = cos(deg2rad(lat)) * ones((self.x_c.shape[0], 1)) * 4. * pi / (
-                    23 * 3600 + 56 * 60 + 4.1) / self.EARTH_RADIUS
-        with errstate(divide='ignore'):
+        gob = (
+            cos(deg2rad(lat))
+            * ones((self.x_c.shape[0], 1))
+            * 4.0
+            * pi
+            / (23 * 3600 + 56 * 60 + 4.1)
+            / self.EARTH_RADIUS
+        )
+        with errstate(divide="ignore"):
             gob = self.GRAVITY / (gob * ones((self.x_c.shape[0], 1)))
-        mode = 'wrap' if self.is_circular() else 'reflect'
+        mode = "wrap" if self.is_circular() else "reflect"
 
         # fill data to compute a finite difference on all point
-        data = self.convolve_filter_with_dynamic_kernel(grid_height, self.kernel_bessel, lat_max=10, wave_length=500,
-                                                        order=1, extend=.1)
-        data = self.convolve_filter_with_dynamic_kernel(data, self.kernel_bessel, lat_max=10, wave_length=500, order=1,
-                                                        extend=.1)
-        data = self.convolve_filter_with_dynamic_kernel(data, self.kernel_bessel, lat_max=10, wave_length=500, order=1,
-                                                        extend=.1)
-        v_lagerloef = self.compute_finite_difference(
-            self.compute_finite_difference(data, mode=mode, schema=schema), mode=mode, schema=schema)[:, sl] * gob
-        u_lagerloef = - self.compute_finite_difference(
-            self.compute_finite_difference(data, vertical=True, schema=schema), vertical=True, schema=schema)[:,
-                        sl] * gob
-        w = 1 - exp(-(lat / 2.2) ** 2)
+        data = self.convolve_filter_with_dynamic_kernel(
+            grid_height,
+            self.kernel_bessel,
+            lat_max=10,
+            wave_length=500,
+            order=1,
+            extend=0.1,
+        )
+        data = self.convolve_filter_with_dynamic_kernel(
+            data, self.kernel_bessel, lat_max=10, wave_length=500, order=1, extend=0.1
+        )
+        data = self.convolve_filter_with_dynamic_kernel(
+            data, self.kernel_bessel, lat_max=10, wave_length=500, order=1, extend=0.1
+        )
+        v_lagerloef = (
+            self.compute_finite_difference(
+                self.compute_finite_difference(data, mode=mode, schema=schema),
+                mode=mode,
+                schema=schema,
+            )[:, sl]
+            * gob
+        )
+        u_lagerloef = (
+            -self.compute_finite_difference(
+                self.compute_finite_difference(data, vertical=True, schema=schema),
+                vertical=True,
+                schema=schema,
+            )[:, sl]
+            * gob
+        )
+        w = 1 - exp(-((lat / 2.2) ** 2))
         self.vars[vname][:, sl] = self.vars[vname][:, sl] * w + v_lagerloef * (1 - w)
         self.vars[uname][:, sl] = self.vars[uname][:, sl] * w + u_lagerloef * (1 - w)
 
-    def add_uv(self, grid_height, uname='u', vname='v', stencil_halfwidth=4):
+    def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         """Compute a u and v grid
                """
-        logger.info('Add u/v variable with stencil method')
+        logger.info("Add u/v variable with stencil method")
         data = self.grid(grid_height)
         h_dict = self.variables_description[grid_height]
         for variable in (uname, vname):
             self.variables_description[variable] = dict(
-                infos=h_dict['infos'].copy(),
-                attrs=h_dict['attrs'].copy(),
-                args=tuple((variable, *h_dict['args'][1:])),
-                kwargs=h_dict['kwargs'].copy(),
+                infos=h_dict["infos"].copy(),
+                attrs=h_dict["attrs"].copy(),
+                args=tuple((variable, *h_dict["args"][1:])),
+                kwargs=h_dict["kwargs"].copy(),
             )
-            if 'units' in self.variables_description[variable]['attrs']:
-                self.variables_description[variable]['attrs']['units'] += '/s'
-            if 'long_name' in self.variables_description[variable]['attrs']:
-                self.variables_description[variable]['attrs']['long_name'] += ' gradient'
+            if "units" in self.variables_description[variable]["attrs"]:
+                self.variables_description[variable]["attrs"]["units"] += "/s"
+            if "long_name" in self.variables_description[variable]["attrs"]:
+                self.variables_description[variable]["attrs"][
+                    "long_name"
+                ] += " gradient"
         # Divide by sideral day
-        gof = sin(deg2rad(self.y_c)) * ones((self.x_c.shape[0], 1)) * 4. * pi / (23 * 3600 + 56 * 60 + 4.1)
-        with errstate(divide='ignore'):
+        gof = (
+            sin(deg2rad(self.y_c))
+            * ones((self.x_c.shape[0], 1))
+            * 4.0
+            * pi
+            / (23 * 3600 + 56 * 60 + 4.1)
+        )
+        with errstate(divide="ignore"):
             gof = self.GRAVITY / (gof * ones((self.x_c.shape[0], 1)))
 
         # Compute v
-        mode = 'wrap' if self.is_circular() else 'reflect'
-        self.vars[vname] = self.compute_stencil(data, mode=mode, stencil_halfwidth=stencil_halfwidth) * gof
+        mode = "wrap" if self.is_circular() else "reflect"
+        self.vars[vname] = (
+            self.compute_stencil(data, mode=mode, stencil_halfwidth=stencil_halfwidth)
+            * gof
+        )
         # Compute u
-        self.vars[uname] = -self.compute_stencil(data, vertical=True, stencil_halfwidth=stencil_halfwidth) * gof
+        self.vars[uname] = (
+            -self.compute_stencil(
+                data, vertical=True, stencil_halfwidth=stencil_halfwidth
+            )
+            * gof
+        )
 
     def speed_coef_mean(self, contour):
         """some nan can be compute over contour if we are near border,
         something to explore
         """
         return mean_on_regular_contour(
-            self.x_c, self.y_c, self._speed_ev, self._speed_ev.mask, contour.vertices, nan_remove=True)
+            self.x_c,
+            self.y_c,
+            self._speed_ev,
+            self._speed_ev.mask,
+            contour.vertices,
+            nan_remove=True,
+        )
 
-    def init_speed_coef(self, uname='u', vname='v'):
+    def init_speed_coef(self, uname="u", vname="v"):
         """Draft
         """
-        self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** .5
+        self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
     def display(self, ax, name, **kwargs):
-        if 'cmap' not in kwargs:
-            kwargs['cmap'] = 'coolwarm'
+        if "cmap" not in kwargs:
+            kwargs["cmap"] = "coolwarm"
         return ax.pcolormesh(self.x_bounds, self.y_bounds, self.grid(name).T, **kwargs)
 
     def interp(self, grid_name, lons, lats):
@@ -1432,31 +1810,31 @@ def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
     for i, delta in enumerate(d_max):
         # If the travel don't cross multiple pixel
         if delta == 0:
-            i_g[ii: ii + delta + 1] = i_x0[i]
-            j_g[ii: ii + delta + 1] = i_y0[i]
+            i_g[ii : ii + delta + 1] = i_x0[i]
+            j_g[ii : ii + delta + 1] = i_y0[i]
         # Vertical move
         elif d_x[i] == 0:
             sup = -1 if d_y[i] < 0 else 1
-            i_g[ii: ii + delta + 1] = i_x0[i]
-            j_g[ii: ii + delta + 1] = arange(i_y0[i], i_y1[i] + sup, sup)
+            i_g[ii : ii + delta + 1] = i_x0[i]
+            j_g[ii : ii + delta + 1] = arange(i_y0[i], i_y1[i] + sup, sup)
         # Horizontal move
         elif d_y[i] == 0:
             sup = -1 if d_x[i] < 0 else 1
-            i_g[ii: ii + delta + 1] = arange(i_x0[i], i_x1[i] + sup, sup)
-            j_g[ii: ii + delta + 1] = i_y0[i]
+            i_g[ii : ii + delta + 1] = arange(i_x0[i], i_x1[i] + sup, sup)
+            j_g[ii : ii + delta + 1] = i_y0[i]
         # In case of multiple direction
         else:
             a = (i_x1[i] - i_x0[i]) / float(i_y1[i] - i_y0[i])
             if abs(d_x[i]) >= abs(d_y[i]):
                 sup = -1 if d_x[i] < 0 else 1
                 value = arange(i_x0[i], i_x1[i] + sup, sup)
-                i_g[ii: ii + delta + 1] = value
-                j_g[ii: ii + delta + 1] = (value - i_x0[i]) / a + i_y0[i]
+                i_g[ii : ii + delta + 1] = value
+                j_g[ii : ii + delta + 1] = (value - i_x0[i]) / a + i_y0[i]
             else:
                 sup = -1 if d_y[i] < 0 else 1
                 value = arange(i_y0[i], i_y1[i] + sup, sup)
-                j_g[ii: ii + delta + 1] = value
-                i_g[ii: ii + delta + 1] = (value - i_y0[i]) * a + i_x0[i]
+                j_g[ii : ii + delta + 1] = value
+                i_g[ii : ii + delta + 1] = (value - i_y0[i]) * a + i_x0[i]
         ii += delta + 1
     i_g %= nb_x
     return i_g, j_g, d_max
@@ -1479,4 +1857,7 @@ def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
 
 @njit(cache=True, fastmath=True)
 def _nearest_grd_indice(x, y, x0, y0, xstep, ystep):
-    return numba_types.int32(round(((x - x0[0]) % 360.) / xstep)), numba_types.int32(round((y - y0[0]) / ystep))
+    return (
+        numba_types.int32(round(((x - x0[0]) % 360.0) / xstep)),
+        numba_types.int32(round((y - y0[0]) / ystep)),
+    )
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index fdcc5765..99f120bb 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -76,7 +76,7 @@ def __init__(self, contour, contour_height, data, interval):
         i_x = contour.pixels_index[0] - x_start
         if on_bounds:
             i_x %= data.shape[0]
-
+        
         self.pixel_mask[i_x, contour.pixels_index[1] - y_start] = True
         self.nb_pixel = i_x.shape[0]
 
@@ -508,9 +508,9 @@ def display(self, ax, step=1, only_used=False, only_unused=False, only_contain_e
             local_kwargs = kwargs.copy()
             if 'color' not in kwargs:
                 local_kwargs['color'] = collection.get_color()
-                local_kwargs.pop('label')
+                local_kwargs.pop('label', None)
             elif j != 0:
-                local_kwargs.pop('label')
+                local_kwargs.pop('label', None)
             ax.add_collection(LineCollection(paths, **local_kwargs))
 
         if hasattr(self.contours, '_mins'):

From 17327f4d324e4a44c398cff4685e6a728169d55a Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sat, 16 May 2020 15:49:58 +0200
Subject: [PATCH 002/441] eddies display modification

---
 src/py_eddy_tracker/observations/observation.py | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 156ff6ac..3affd1f1 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1179,12 +1179,17 @@ def display(self, ax, ref=None, **kwargs):
         lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
         lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
         lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
+        kwargs_e = kwargs.copy()
+        if 'label' in kwargs:
+            kwargs['label'] += " (%s eddies)" % self.obs["contour_lon_s"].shape[0]
+            kwargs_e.pop('label', None)
         if ref is None:
             ax.plot(lon_s, lat_s, **kwargs)
-            ax.plot(lon_e, lat_e, linestyle="-.", **kwargs)
+            ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
         else:
+            # FIXME : ref could split eddies
             ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
-            ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs)
+            ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
 
 
 class VirtualEddiesObservations(EddiesObservations):

From ee44c4a3aa40d2f5ba98950f56ec1d6ab969fe30 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sat, 16 May 2020 15:50:41 +0200
Subject: [PATCH 003/441] add ugly method to filter unregular

---
 src/py_eddy_tracker/dataset/grid.py | 136 ++++++++++++++++------------
 1 file changed, 77 insertions(+), 59 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index fe1ea619..2254b759 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -304,7 +304,9 @@ class GridDataset(object):
     # indice margin (if put to 0, raise warning that i don't understand)
     N = 1
 
-    def __init__(self, filename, x_name, y_name, centered=None, indexs=None):
+    def __init__(
+        self, filename, x_name, y_name, centered=None, indexs=None, unset=False
+    ):
         self.dimensions = None
         self.variables_description = None
         self.global_attrs = None
@@ -327,8 +329,9 @@ def __init__(self, filename, x_name, y_name, centered=None, indexs=None):
             logger.warning(
                 "We assume the position of grid is the center corner for %s", filename,
             )
-        self.load_general_features()
-        self.load()
+        if not unset:
+            self.load_general_features()
+            self.load()
 
     @property
     def is_centered(self):
@@ -414,41 +417,40 @@ def load(self):
             self.vars[x_name] = h.variables[x_name][sl_x]
             self.vars[y_name] = h.variables[y_name][sl_y]
 
-            if self.is_centered:
-                logger.info("Grid center")
-                self.x_c = self.vars[x_name]
-                self.y_c = self.vars[y_name]
+        self.setup_coordinates()
+        self.init_pos_interpolator()
 
-                self.x_bounds = concatenate(
-                    (self.x_c, (2 * self.x_c[-1] - self.x_c[-2],))
-                )
-                self.y_bounds = concatenate(
-                    (self.y_c, (2 * self.y_c[-1] - self.y_c[-2],))
-                )
-                d_x = self.x_bounds[1:] - self.x_bounds[:-1]
-                d_y = self.y_bounds[1:] - self.y_bounds[:-1]
-                self.x_bounds[:-1] -= d_x / 2
-                self.x_bounds[-1] -= d_x[-1] / 2
-                self.y_bounds[:-1] -= d_y / 2
-                self.y_bounds[-1] -= d_y[-1] / 2
+    def setup_coordinates(self):
+        x_name, y_name = self.coordinates
+        if self.is_centered:
+            logger.info("Grid center")
+            self.x_c = self.vars[x_name]
+            self.y_c = self.vars[y_name]
 
-            else:
-                self.x_bounds = self.vars[x_name]
-                self.y_bounds = self.vars[y_name]
+            self.x_bounds = concatenate((self.x_c, (2 * self.x_c[-1] - self.x_c[-2],)))
+            self.y_bounds = concatenate((self.y_c, (2 * self.y_c[-1] - self.y_c[-2],)))
+            d_x = self.x_bounds[1:] - self.x_bounds[:-1]
+            d_y = self.y_bounds[1:] - self.y_bounds[:-1]
+            self.x_bounds[:-1] -= d_x / 2
+            self.x_bounds[-1] -= d_x[-1] / 2
+            self.y_bounds[:-1] -= d_y / 2
+            self.y_bounds[-1] -= d_y[-1] / 2
 
-                if len(self.x_dim) == 1:
-                    self.x_c = self.x_bounds.copy()
-                    dx2 = (self.x_bounds[1:] - self.x_bounds[:-1]) / 2
-                    self.x_c[:-1] += dx2
-                    self.x_c[-1] += dx2[-1]
-                    self.y_c = self.y_bounds.copy()
-                    dy2 = (self.y_bounds[1:] - self.y_bounds[:-1]) / 2
-                    self.y_c[:-1] += dy2
-                    self.y_c[-1] += dy2[-1]
-                else:
-                    raise Exception("not write")
+        else:
+            self.x_bounds = self.vars[x_name]
+            self.y_bounds = self.vars[y_name]
 
-        self.init_pos_interpolator()
+            if len(self.x_dim) == 1:
+                self.x_c = self.x_bounds.copy()
+                dx2 = (self.x_bounds[1:] - self.x_bounds[:-1]) / 2
+                self.x_c[:-1] += dx2
+                self.x_c[-1] += dx2[-1]
+                self.y_c = self.y_bounds.copy()
+                dy2 = (self.y_bounds[1:] - self.y_bounds[:-1]) / 2
+                self.y_c[:-1] += dy2
+                self.y_c[-1] += dy2[-1]
+            else:
+                raise Exception("not write")
 
     def is_circular(self):
         """Check grid circularity
@@ -1084,44 +1086,47 @@ def init_pos_interpolator(self):
 
         logger.debug("... OK")
 
-    def _low_filter(self, grid_name, x_cut, y_cut, factor=40.):
+    def _low_filter(self, grid_name, w_cut, factor=8.0):
         data = self.grid(grid_name)
         mean_data = data.mean()
         x = self.grid(self.coordinates[0])
         y = self.grid(self.coordinates[1])
-        regrid_x_step = x_cut / factor
-        regrid_y_step = y_cut / factor
+        regrid_step = w_cut / 111.0 / factor
         x_min, x_max, y_min, y_max = self.bounds
-        x_array = arange(x_min, x_max + regrid_x_step, regrid_x_step)
-        y_array = arange(y_min, y_max + regrid_y_step, regrid_y_step)
+        x_array = arange(x_min, x_max + regrid_step, regrid_step)
+        y_array = arange(y_min, min(y_max + regrid_step, 89), regrid_step)
         bins = (x_array, y_array)
 
         x_flat, y_flat, z_flat = x.reshape((-1,)), y.reshape((-1,)), data.reshape((-1,))
-        m = -z_flat.mask
+        m = ~z_flat.mask
         x_flat, y_flat, z_flat = x_flat[m], y_flat[m], z_flat[m]
 
-        nb_value, bounds_x, bounds_y = histogram2d(
-            x_flat, y_flat,
-            bins=bins)
+        nb_value, _, _ = histogram2d(x_flat, y_flat, bins=bins)
 
-        sum_value, _, _ = histogram2d(
-            x_flat, y_flat,
-            bins=bins,
-            weights=z_flat)
+        sum_value, _, _ = histogram2d(x_flat, y_flat, bins=bins, weights=z_flat)
 
-        with errstate(invalid='ignore'):
+        with errstate(invalid="ignore"):
             z_grid = ma.array(sum_value / nb_value, mask=nb_value == 0)
-        i_x, i_y = x_cut * 0.125 / regrid_x_step, y_cut * 0.125 / regrid_y_step
-        m = nb_value == 0
-
-        z_filtered = self._gaussian_filter(z_grid, (i_x, i_y))
-
-        z_filtered[m] = 0
-        x_center = (bounds_x[:-1] + bounds_x[1:]) / 2
-        y_center = (bounds_y[:-1] + bounds_y[1:]) / 2
+        regular_grid = RegularGridDataset.with_array(
+            coordinates=self.coordinates,
+            datas={
+                grid_name: z_grid,
+                self.coordinates[0]: x_array[:-1],
+                self.coordinates[1]: y_array[:-1],
+            },
+        )
+        regular_grid.bessel_low_filter(grid_name, w_cut, order=1)
+        z_filtered = regular_grid.grid(grid_name)
+        x_center = (x_array[:-1] + x_array[1:]) / 2
+        y_center = (y_array[:-1] + y_array[1:]) / 2
         opts_interpolation = dict(kx=1, ky=1, s=0)
-        m_interp = RectBivariateSpline(x_center, y_center, m, **opts_interpolation)
-        z_interp = RectBivariateSpline(x_center, y_center, z_filtered, **opts_interpolation).ev(x, y)
+        m_interp = RectBivariateSpline(
+            x_center, y_center, z_filtered.mask, **opts_interpolation
+        )
+        z_filtered.data[z_filtered.mask] = 0
+        z_interp = RectBivariateSpline(
+            x_center, y_center, z_filtered.data, **opts_interpolation
+        ).ev(x, y)
         return ma.array(z_interp, mask=m_interp.ev(x, y) > 0.00001)
 
     def speed_coef_mean(self, contour):
@@ -1152,10 +1157,23 @@ class RegularGridDataset(GridDataset):
     def __init__(self, *args, **kwargs):
         super(RegularGridDataset, self).__init__(*args, **kwargs)
         self._is_circular = None
+
+    def setup_coordinates(self):
+        super(RegularGridDataset, self).setup_coordinates()
         self.x_size = self.x_c.shape[0]
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 
+    @classmethod
+    def with_array(cls, coordinates, datas):
+        x_name, y_name = coordinates[0], coordinates[1]
+        obj = cls("array", x_name, y_name, unset=True, centered=False)
+        obj.x_dim = (x_name,)
+        obj.y_dim = (y_name,)
+        for k, v in datas.items():
+            obj.vars[k] = v
+        obj.setup_coordinates()
+        return obj
 
     def init_pos_interpolator(self):
         """Create function to have a quick index interpolator
@@ -1277,7 +1295,7 @@ def kernel_bessel(self, lat, wave_length, order=1):
         min_wave_length = max(step_x_km * 2, step_y_km * 2)
         if wave_length < min_wave_length:
             logger.error(
-                "Wave_length to short for resolution, must be > %d km",
+                "Wave_length too short for resolution, must be > %d km",
                 ceil(min_wave_length),
             )
             raise Exception()

From 73f754c4fd7e7bdd70e527722100074f37ec18fa Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 22 May 2020 15:05:39 +0200
Subject: [PATCH 004/441] black format

---
 .../observations/observation.py               | 224 +++++++++++-------
 1 file changed, 139 insertions(+), 85 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3affd1f1..cfaf8b16 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -44,7 +44,7 @@
     absolute,
     concatenate,
     float64,
-    ceil
+    ceil,
 )
 from netCDF4 import Dataset
 from ..generic import distance_grid, distance, flatten_line_matrix
@@ -222,7 +222,7 @@ def __getitem__(self, attr):
 
     @classmethod
     def obs_dimension(cls, handler):
-        for candidate in ('obs', 'Nobs', 'observation', 'i'):
+        for candidate in ("obs", "Nobs", "observation", "i"):
             if candidate in handler.dimensions.keys():
                 return candidate
 
@@ -233,22 +233,24 @@ def add_fields(self, fields):
         nb_obs = self.obs.shape[0]
         new = self.__class__(
             size=nb_obs,
-            track_extra_variables=list(concatenate((self.track_extra_variables, fields))),
+            track_extra_variables=list(
+                concatenate((self.track_extra_variables, fields))
+            ),
             track_array_variables=self.track_array_variables,
             array_variables=self.array_variables,
             only_variables=list(concatenate((self.obs.dtype.names, fields))),
-            raw_data=self.raw_data
+            raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
         for field in self.obs.dtype.descr:
-            logger.debug('Copy of field %s ...', field)
+            logger.debug("Copy of field %s ...", field)
             var = field[0]
             new.obs[var] = self.obs[var]
         return new
 
     def add_rotation_type(self):
-        new = self.add_fields(('type_cyc',))
-        new.observations['type_cyc'] = self.sign_type
+        new = self.add_fields(("type_cyc",))
+        new.observations["type_cyc"] = self.sign_type
         return new
 
     @property
@@ -320,9 +322,9 @@ def merge(self, other):
             eddies.obs[key][:nb_obs_self] = self.obs[key][:]
             if key in other_keys:
                 eddies.obs[key][nb_obs_self:] = other.obs[key][:]
-        if 'track' in other_keys and 'track' in self_keys:
-            last_track = eddies.obs['track'][nb_obs_self - 1] + 1
-            eddies.obs['track'][nb_obs_self:] += last_track
+        if "track" in other_keys and "track" in self_keys:
+            last_track = eddies.obs["track"][nb_obs_self - 1] + 1
+            eddies.obs["track"][nb_obs_self:] += last_track
         eddies.sign_type = self.sign_type
         return eddies
 
@@ -387,7 +389,7 @@ def new_like(eddies, new_size):
             track_array_variables=eddies.track_array_variables,
             array_variables=eddies.array_variables,
             only_variables=eddies.only_variables,
-            raw_data=eddies.raw_data
+            raw_data=eddies.raw_data,
         )
 
     def index(self, index):
@@ -410,13 +412,15 @@ def zarr_dimension(filename):
 
     @classmethod
     def load_file(cls, filename, **kwargs):
-        if filename.endswith('.zarr'):
+        if filename.endswith(".zarr"):
             return cls.load_from_zarr(filename, **kwargs)
         else:
             return cls.load_from_netcdf(filename, **kwargs)
 
     @classmethod
-    def load_from_zarr(cls, filename, raw_data=False, remove_vars=None, include_vars=None):
+    def load_from_zarr(
+        cls, filename, raw_data=False, remove_vars=None, include_vars=None
+    ):
         # FIXME must be investigate, in zarr no dimensions name (or could be add in attr)
         array_dim = 50
         BLOC = 5000000
@@ -430,7 +434,7 @@ def load_from_zarr(cls, filename, raw_data=False, remove_vars=None, include_vars
             var_list = [i for i in var_list if i not in remove_vars]
 
         nb_obs = getattr(h_zarr, var_list[0]).shape[0]
-        logger.debug('%d observations will be load', nb_obs)
+        logger.debug("%d observations will be load", nb_obs)
         kwargs = dict()
         dims = cls.zarr_dimension(filename)
         if array_dim in dims:
@@ -447,22 +451,32 @@ def load_from_zarr(cls, filename, raw_data=False, remove_vars=None, include_vars
             if var_inv not in cls.ELEMENTS and var_inv not in array_variables:
                 kwargs["track_extra_variables"].append(var_inv)
         kwargs["raw_data"] = raw_data
-        kwargs["only_variables"] = None if include_vars is None else [VAR_DESCR_inv[i] for i in include_vars]
+        kwargs["only_variables"] = (
+            None if include_vars is None else [VAR_DESCR_inv[i] for i in include_vars]
+        )
         eddies = cls(size=nb_obs, **kwargs)
         for variable in var_list:
             var_inv = VAR_DESCR_inv[variable]
-            logger.debug('%s will be loaded', variable)
+            logger.debug("%s will be loaded", variable)
             # find unit factor
             factor = 1
-            input_unit = h_zarr[variable].attrs.get('unit', None)
+            input_unit = h_zarr[variable].attrs.get("unit", None)
             if input_unit is None:
-                input_unit = h_zarr[variable].attrs.get('units', None)
-            output_unit = VAR_DESCR[var_inv]['nc_attr'].get('units', None)
-            if output_unit is not None and input_unit is not None and output_unit != input_unit:
+                input_unit = h_zarr[variable].attrs.get("units", None)
+            output_unit = VAR_DESCR[var_inv]["nc_attr"].get("units", None)
+            if (
+                output_unit is not None
+                and input_unit is not None
+                and output_unit != input_unit
+            ):
                 units = UnitRegistry()
                 try:
-                    input_unit = units.parse_expression(input_unit, case_sensitive=False)
-                    output_unit = units.parse_expression(output_unit, case_sensitive=False)
+                    input_unit = units.parse_expression(
+                        input_unit, case_sensitive=False
+                    )
+                    output_unit = units.parse_expression(
+                        output_unit, case_sensitive=False
+                    )
                 except UndefinedUnitError:
                     input_unit = None
                 except TokenError:
@@ -471,12 +485,17 @@ def load_from_zarr(cls, filename, raw_data=False, remove_vars=None, include_vars
                     factor = input_unit.to(output_unit).to_tuple()[0]
                     # If we are able to find a conversion
                     if factor != 1:
-                        logger.info('%s will be multiply by %f to take care of units(%s->%s)',
-                                     variable, factor, input_unit, output_unit)
+                        logger.info(
+                            "%s will be multiply by %f to take care of units(%s->%s)",
+                            variable,
+                            factor,
+                            input_unit,
+                            output_unit,
+                        )
             nb = h_zarr[variable].shape[0]
 
-            scale_factor = VAR_DESCR[var_inv].get('scale_factor', None)
-            add_offset = VAR_DESCR[var_inv].get('add_offset', None)
+            scale_factor = VAR_DESCR[var_inv].get("scale_factor", None)
+            add_offset = VAR_DESCR[var_inv].get("add_offset", None)
             for i in range(0, nb, BLOC):
                 sl = slice(i, i + BLOC)
                 data = h_zarr[variable][sl]
@@ -496,7 +515,9 @@ def load_from_zarr(cls, filename, raw_data=False, remove_vars=None, include_vars
         return eddies
 
     @classmethod
-    def load_from_netcdf(cls, filename, raw_data=False, remove_vars=None, include_vars=None):
+    def load_from_netcdf(
+        cls, filename, raw_data=False, remove_vars=None, include_vars=None
+    ):
         array_dim = "NbSample"
         if not isinstance(filename, str):
             filename = filename.astype(str)
@@ -508,7 +529,7 @@ def load_from_netcdf(cls, filename, raw_data=False, remove_vars=None, include_va
                 var_list = [i for i in var_list if i not in remove_vars]
 
             nb_obs = len(h_nc.dimensions[cls.obs_dimension(h_nc)])
-            logger.debug('%d observations will be load', nb_obs)
+            logger.debug("%d observations will be load", nb_obs)
             kwargs = dict()
             if array_dim in h_nc.dimensions:
                 kwargs["track_array_variables"] = len(h_nc.dimensions[array_dim])
@@ -524,25 +545,41 @@ def load_from_netcdf(cls, filename, raw_data=False, remove_vars=None, include_va
                 if var_inv not in cls.ELEMENTS and var_inv not in array_variables:
                     kwargs["track_extra_variables"].append(var_inv)
             kwargs["raw_data"] = raw_data
-            kwargs["only_variables"] = None if include_vars is None else [VAR_DESCR_inv[i] for i in include_vars]
+            kwargs["only_variables"] = (
+                None
+                if include_vars is None
+                else [VAR_DESCR_inv[i] for i in include_vars]
+            )
             eddies = cls(size=nb_obs, **kwargs)
             for variable in var_list:
                 var_inv = VAR_DESCR_inv[variable]
                 # Patch
                 h_nc.variables[variable].set_auto_maskandscale(not raw_data)
-                logger.debug('Up load %s variable%s', variable, ', with raw mode' if raw_data else '')
+                logger.debug(
+                    "Up load %s variable%s",
+                    variable,
+                    ", with raw mode" if raw_data else "",
+                )
                 # find unit factor
                 factor = 1
                 if not raw_data:
-                    input_unit = getattr(h_nc.variables[variable], 'unit', None)
+                    input_unit = getattr(h_nc.variables[variable], "unit", None)
                     if input_unit is None:
-                        input_unit = getattr(h_nc.variables[variable], 'units', None)
-                    output_unit = VAR_DESCR[var_inv]['nc_attr'].get('units', None)
-                    if output_unit is not None and input_unit is not None and output_unit != input_unit:
+                        input_unit = getattr(h_nc.variables[variable], "units", None)
+                    output_unit = VAR_DESCR[var_inv]["nc_attr"].get("units", None)
+                    if (
+                        output_unit is not None
+                        and input_unit is not None
+                        and output_unit != input_unit
+                    ):
                         units = UnitRegistry()
                         try:
-                            input_unit = units.parse_expression(input_unit, case_sensitive=False)
-                            output_unit = units.parse_expression(output_unit, case_sensitive=False)
+                            input_unit = units.parse_expression(
+                                input_unit, case_sensitive=False
+                            )
+                            output_unit = units.parse_expression(
+                                output_unit, case_sensitive=False
+                            )
                         except UndefinedUnitError:
                             input_unit = None
                         except TokenError:
@@ -551,8 +588,13 @@ def load_from_netcdf(cls, filename, raw_data=False, remove_vars=None, include_va
                             factor = input_unit.to(output_unit).to_tuple()[0]
                             # If we are able to find a conversion
                             if factor != 1:
-                                logger.info('%s will be multiply by %f to take care of units(%s->%s)',
-                                             variable, factor, input_unit, output_unit)
+                                logger.info(
+                                    "%s will be multiply by %f to take care of units(%s->%s)",
+                                    variable,
+                                    factor,
+                                    input_unit,
+                                    output_unit,
+                                )
                 if factor != 1:
                     eddies.obs[var_inv] = h_nc.variables[variable][:] * factor
                 else:
@@ -563,11 +605,11 @@ def load_from_netcdf(cls, filename, raw_data=False, remove_vars=None, include_va
                 if var_inv == "type_cyc":
                     eddies.sign_type = h_nc.variables[variable][0]
             if eddies.sign_type is None:
-                title = getattr(h_nc, 'title', None)
+                title = getattr(h_nc, "title", None)
                 if title is None:
                     eddies.sign_type = getattr(h_nc, "rotation_type", 0)
                 else:
-                    eddies.sign_type = -1 if title == 'Cyclonic' else 1
+                    eddies.sign_type = -1 if title == "Cyclonic" else 1
             if eddies.sign_type == 0:
                 logger.debug("File come from another algorithm of identification")
                 eddies.sign_type = -1
@@ -669,6 +711,13 @@ def propagate(
         next_obs["segment_size"][:] += 1
         return next_obs
 
+    def match(self, other, intern=False):
+        x_name, y_name = (
+            ("contour_lon_s", "contour_lat_s")
+            if intern
+            else ("contour_lon_e", "contour_lat_e")
+        )
+
     @staticmethod
     def cost_function_common_area(xy_in, xy_out, distance, intern=False):
         """ How does it work on x bound ?
@@ -685,7 +734,6 @@ def cost_function_common_area(xy_in, xy_out, distance, intern=False):
             if intern
             else ("contour_lon_e", "contour_lat_e")
         )
-        r_name = "radius_s" if intern else "radius_e"
         nb_records = xy_in.shape[0]
         x_in, y_in = xy_in[x_name], xy_in[y_name]
         x_out, y_out = xy_out[x_name], xy_out[y_name]
@@ -845,9 +893,7 @@ def solve_simultaneous(cost):
             cost_reduce = cost[i_self_keep][:, i_other_keep]
             shape = cost_reduce.shape
             nb_conflict = (~cost_reduce.mask).sum()
-            logger.debug(
-                "Shape conflict matrix : %s, %d conflicts", shape, nb_conflict
-            )
+            logger.debug("Shape conflict matrix : %s, %d conflicts", shape, nb_conflict)
 
             if nb_conflict >= (shape[0] + shape[1]):
                 logger.warning(
@@ -902,9 +948,7 @@ def solve_first(cost, multiple_link=False):
             cost_reduce = cost[i_self_keep][:, i_other_keep]
             shape = cost_reduce.shape
             nb_conflict = (~cost_reduce.mask).sum()
-            logger.debug(
-                "Shape conflict matrix : %s, %d conflicts", shape, nb_conflict
-            )
+            logger.debug("Shape conflict matrix : %s, %d conflicts", shape, nb_conflict)
 
             if nb_conflict >= (shape[0] + shape[1]):
                 logger.warning(
@@ -963,10 +1007,10 @@ def tracking(self, other):
         return i_self, i_other, cost_mat[i_self, i_other]
 
     def to_zarr(self, handler, **kwargs):
-        handler.attrs['track_extra_variables'] = ",".join(self.track_extra_variables)
+        handler.attrs["track_extra_variables"] = ",".join(self.track_extra_variables)
         if self.track_array_variables != 0:
-            handler.attrs['track_array_variables'] = self.track_array_variables
-            handler.attrs['array_variables'] = ",".join(self.array_variables)
+            handler.attrs["track_array_variables"] = self.track_array_variables
+            handler.attrs["array_variables"] = ",".join(self.array_variables)
         # Iter on variables to create:
         fields = [field[0] for field in self.observations.dtype.descr]
         for ori_name in fields:
@@ -987,7 +1031,7 @@ def to_zarr(self, handler, **kwargs):
                 scale_factor=VAR_DESCR[name].get("scale_factor", None),
                 add_offset=VAR_DESCR[name].get("add_offset", None),
                 filters=VAR_DESCR[name].get("filters", None),
-                ** kwargs
+                **kwargs,
             )
         self.set_global_attr_zarr(handler)
 
@@ -998,7 +1042,9 @@ def netcdf_create_dimensions(handler, dim, nb):
         else:
             old_nb = len(handler.dimensions[dim])
             if nb != old_nb:
-                raise Exception(f'{dim} dimensions previously set to a different size {old_nb} (current value : {nb})')
+                raise Exception(
+                    f"{dim} dimensions previously set to a different size {old_nb} (current value : {nb})"
+                )
 
     def to_netcdf(self, handler):
         eddy_size = len(self)
@@ -1006,7 +1052,9 @@ def to_netcdf(self, handler):
         self.netcdf_create_dimensions(handler, "obs", eddy_size)
         handler.track_extra_variables = ",".join(self.track_extra_variables)
         if self.track_array_variables != 0:
-            self.netcdf_create_dimensions(handler, "NbSample", self.track_array_variables)
+            self.netcdf_create_dimensions(
+                handler, "NbSample", self.track_array_variables
+            )
             handler.track_array_variables = self.track_array_variables
             handler.array_variables = ",".join(self.array_variables)
         # Iter on variables to create:
@@ -1043,7 +1091,7 @@ def create_variable(
         scale_factor=None,
         add_offset=None,
     ):
-        dims = kwargs_variable.get('dimensions', None)
+        dims = kwargs_variable.get("dimensions", None)
         # Manage chunk in 2d case
         if dims is not None and len(dims) > 1:
             chunk = [1]
@@ -1053,7 +1101,7 @@ def create_variable(
                 chunk.append(nb)
                 cum *= nb
             chunk[0] = min(int(400000 / cum), len(handler_nc.dimensions[dims[0]]))
-            kwargs_variable['chunksizes'] = chunk
+            kwargs_variable["chunksizes"] = chunk
         var = handler_nc.createVariable(zlib=True, complevel=1, **kwargs_variable)
         attrs = list(attr_variable.keys())
         attrs.sort()
@@ -1086,33 +1134,36 @@ def create_variable_zarr(
         scale_factor=None,
         add_offset=None,
         filters=None,
-        compressor=None
+        compressor=None,
     ):
-        kwargs_variable['shape'] = data.shape
-        kwargs_variable['compressor'] = \
-            zarr.Blosc(cname='zstd', clevel=2) if compressor is None else compressor
-        kwargs_variable['filters'] = list()
-        store_dtype = kwargs_variable.pop('store_dtype', None)
+        kwargs_variable["shape"] = data.shape
+        kwargs_variable["compressor"] = (
+            zarr.Blosc(cname="zstd", clevel=2) if compressor is None else compressor
+        )
+        kwargs_variable["filters"] = list()
+        store_dtype = kwargs_variable.pop("store_dtype", None)
         if scale_factor is not None or add_offset is not None:
             if add_offset is None:
                 add_offset = 0
-            kwargs_variable['filters'].append(zarr.FixedScaleOffset(
-                offset=float64(add_offset),
-                scale=1 / float64(scale_factor),
-                dtype=kwargs_variable['dtype'],
-                astype=store_dtype
-            ))
+            kwargs_variable["filters"].append(
+                zarr.FixedScaleOffset(
+                    offset=float64(add_offset),
+                    scale=1 / float64(scale_factor),
+                    dtype=kwargs_variable["dtype"],
+                    astype=store_dtype,
+                )
+            )
         if filters is not None:
-            kwargs_variable['filters'].extend(filters)
-        dims = kwargs_variable.get('dimensions', None)
+            kwargs_variable["filters"].extend(filters)
+        dims = kwargs_variable.get("dimensions", None)
         # Manage chunk in 2d case
         if len(dims) == 1:
-            kwargs_variable['chunks'] = (2500000,)
+            kwargs_variable["chunks"] = (2500000,)
         if len(dims) == 2:
             second_dim = data.shape[1]
-            kwargs_variable['chunks'] = (200000, second_dim)
+            kwargs_variable["chunks"] = (200000, second_dim)
 
-        kwargs_variable.pop('dimensions')
+        kwargs_variable.pop("dimensions")
         v = handler_zarr.create_dataset(**kwargs_variable)
         attrs = list(attr_variable.keys())
         attrs.sort()
@@ -1121,7 +1172,7 @@ def create_variable_zarr(
             v.attrs[attr] = str(attr_value)
         if self.raw_data:
             if scale_factor is not None:
-                s_bloc = kwargs_variable['chunks'][0]
+                s_bloc = kwargs_variable["chunks"][0]
                 nb_bloc = int(ceil(data.shape[0] / s_bloc))
                 for i in range(nb_bloc):
                     sl = slice(i * s_bloc, (i + 1) * s_bloc)
@@ -1137,7 +1188,9 @@ def create_variable_zarr(
         except ValueError:
             logger.warning("Data is empty")
 
-    def write_file(self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=False):
+    def write_file(
+        self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=False
+    ):
         """Write a netcdf with eddy obs
         """
         filename = filename % dict(
@@ -1146,12 +1199,12 @@ def write_file(self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=
             prod_time=datetime.now().strftime("%Y%m%d"),
         )
         if zarr_flag:
-            filename = filename.replace('.nc', '.zarr')
-        if filename.endswith('.zarr'):
+            filename = filename.replace(".nc", ".zarr")
+        if filename.endswith(".zarr"):
             zarr_flag = True
         logger.info("Store in %s", filename)
         if zarr_flag:
-            handler = zarr.open(filename, 'w')
+            handler = zarr.open(filename, "w")
             self.to_zarr(handler)
         else:
             with Dataset(filename, "w", format="NETCDF4") as handler:
@@ -1160,11 +1213,12 @@ def write_file(self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=
     @property
     def global_attr(self):
         return dict(
-        Metadata_Conventions="Unidata Dataset Discovery v1.0",
-        comment="Surface product; mesoscale eddies",
-        framework_used="https://github.com/AntSimi/py-eddy-tracker",
-        standard_name_vocabulary="NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table",
-        rotation_type=self.sign_type)
+            Metadata_Conventions="Unidata Dataset Discovery v1.0",
+            comment="Surface product; mesoscale eddies",
+            framework_used="https://github.com/AntSimi/py-eddy-tracker",
+            standard_name_vocabulary="NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table",
+            rotation_type=self.sign_type,
+        )
 
     def set_global_attr_zarr(self, h_zarr):
         for key, item in self.global_attr.items():
@@ -1180,9 +1234,9 @@ def display(self, ax, ref=None, **kwargs):
         lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
         lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
         kwargs_e = kwargs.copy()
-        if 'label' in kwargs:
-            kwargs['label'] += " (%s eddies)" % self.obs["contour_lon_s"].shape[0]
-            kwargs_e.pop('label', None)
+        if "label" in kwargs:
+            kwargs["label"] += " (%s eddies)" % self.obs["contour_lon_s"].shape[0]
+            kwargs_e.pop("label", None)
         if ref is None:
             ax.plot(lon_s, lat_s, **kwargs)
             ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)

From 67213fe6a8082dc341c24df8706edc9db9f2faeb Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 22 May 2020 16:19:36 +0200
Subject: [PATCH 005/441] add a function to get close detection between two
 dataset, and improve display

---
 .../observations/observation.py               | 35 ++++++---
 src/py_eddy_tracker/poly.py                   | 78 +++++++++++++++----
 2 files changed, 89 insertions(+), 24 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index cfaf8b16..069f7c13 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -27,6 +27,7 @@
 ===========================================================================
 
 """
+import logging
 import zarr
 from numpy import (
     zeros,
@@ -47,15 +48,15 @@
     ceil,
 )
 from netCDF4 import Dataset
-from ..generic import distance_grid, distance, flatten_line_matrix
-from .. import VAR_DESCR, VAR_DESCR_inv
-import logging
 from datetime import datetime
 from numba import njit, types as numba_types
 from Polygon import Polygon
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
 from tokenize import TokenError
+from .. import VAR_DESCR, VAR_DESCR_inv
+from ..generic import distance_grid, distance, flatten_line_matrix
+from ..poly import bbox_intersection, common_area
 
 logger = logging.getLogger("pet")
 
@@ -712,11 +713,21 @@ def propagate(
         return next_obs
 
     def match(self, other, intern=False):
+        """return index and score compute with area
+        """
         x_name, y_name = (
             ("contour_lon_s", "contour_lat_s")
             if intern
             else ("contour_lon_e", "contour_lat_e")
         )
+        i, j = bbox_intersection(
+            self[x_name], self[y_name], other[x_name], other[y_name]
+        )
+        c = common_area(
+            self[x_name][i], self[y_name][i], other[x_name][j], other[y_name][j]
+        )
+        m = c > 0
+        return i[m], j[m], c[m]
 
     @staticmethod
     def cost_function_common_area(xy_in, xy_out, distance, intern=False):
@@ -1228,21 +1239,25 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
-    def display(self, ax, ref=None, **kwargs):
-        lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
-        lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
+    def display(self, ax, ref=None, extern_only=False, **kwargs):
+        if not extern_only:
+            lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
+            lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
         lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
         lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
-        kwargs_e = kwargs.copy()
         if "label" in kwargs:
-            kwargs["label"] += " (%s eddies)" % self.obs["contour_lon_s"].shape[0]
+            kwargs["label"] += " (%s eddies)" % len(self)
+        kwargs_e = kwargs.copy()
+        if not extern_only:
             kwargs_e.pop("label", None)
         if ref is None:
-            ax.plot(lon_s, lat_s, **kwargs)
+            if not extern_only:
+                ax.plot(lon_s, lat_s, **kwargs)
             ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
         else:
             # FIXME : ref could split eddies
-            ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
+            if not extern_only:
+                ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
             ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
 
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 697bb125..17caa4ba 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -1,8 +1,9 @@
 # -*- coding: utf-8 -*-
 """
 """
-from numpy import empty, where
+from numpy import empty, where, array
 from numba import njit, prange, types as numba_types
+from Polygon import Polygon
 
 
 @njit(cache=True)
@@ -17,7 +18,9 @@ def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
     See: Algorithm 1 "Area of Triangles and Polygons"
     """
     # Vector product
-    product = (x_line_1 - x_line_0) * (y_test - y_line_0) - (x_test - x_line_0) * (y_line_1 - y_line_0)
+    product = (x_line_1 - x_line_0) * (y_test - y_line_0) - (x_test - x_line_0) * (
+        y_line_1 - y_line_0
+    )
     return product > 0
 
 
@@ -50,21 +53,13 @@ def winding_number_poly(x, y, xy_poly):
             y_next = xy_poly[i_elt + 1, 1]
         if xy_poly[i_elt, 1] <= y:
             if y_next > y:
-                if is_left(xy_poly[i_elt, 0],
-                           xy_poly[i_elt, 1],
-                           x_next,
-                           y_next,
-                           x, y
-                           ):
+                if is_left(xy_poly[i_elt, 0], xy_poly[i_elt, 1], x_next, y_next, x, y):
                     wn += 1
         else:
             if y_next <= y:
-                if not is_left(xy_poly[i_elt, 0],
-                               xy_poly[i_elt, 1],
-                               x_next,
-                               y_next,
-                               x, y
-                               ):
+                if not is_left(
+                    xy_poly[i_elt, 0], xy_poly[i_elt, 1], x_next, y_next, x, y
+                ):
                     wn -= 1
     return wn
 
@@ -92,3 +87,58 @@ def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
     if i_x1 < i_x0:
         i_x %= x_size
     return i_x, i_y
+
+
+@njit(cache=True, fastmath=True)
+def bbox_intersection(x0, y0, x1, y1):
+    """compute bbox to check if there are a bbox intersection
+    """
+    nb0 = x0.shape[0]
+    nb1 = x1.shape[0]
+    x1_min, y1_min = empty(nb1), empty(nb1)
+    x1_max, y1_max = empty(nb1), empty(nb1)
+    for i1 in range(nb1):
+        x1_min[i1], y1_min[i1] = x1[i1].min(), y1[i1].min()
+        x1_max[i1], y1_max[i1] = x1[i1].max(), y1[i1].max()
+
+    i, j = list(), list()
+    for i0 in range(nb0):
+        x_in_min, y_in_min = x0[i0].min(), y0[i0].min()
+        x_in_max, y_in_max = x0[i0].max(), y0[i0].max()
+        for i1 in range(nb1):
+            if y_in_max < y1_min[i1] or y_in_min > y1_max[i1]:
+                continue
+            x1_min_ = x1_min[i1]
+            x1_max_ = x1_max[i1]
+            if abs(x_in_min - x1_min_) > 180:
+                ref = x_in_min - 180
+                x1_min_ = (x1_min_ - ref) % 360 + ref
+                x1_max_ = (x1_max_ - ref) % 360 + ref
+            if x_in_max < x1_min_ or x_in_min > x1_max_:
+                continue
+            i.append(i0)
+            j.append(i1)
+    return array(i), array(j)
+
+
+@njit(cache=True, fastmath=True)
+def create_vertice(x, y):
+    nb = x.shape[0]
+    v = empty((nb, 2))
+    for i in range(nb):
+        v[i, 0] = x[i]
+        v[i, 1] = y[i]
+    return v
+
+
+def common_area(x0, y0, x1, y1):
+    nb, _ = x0.shape
+    cost = empty((nb))
+    for i in range(nb):
+        x0_, x1_ = x0[i], x1[i]
+        if abs(x0_[0] - x1_[0]) > 180:
+            x1_ = (x1[i] - (x0_[0] - 180)) % 360 + x0_[0] - 180
+        p0 = Polygon(create_vertice(x0_, y0[i]))
+        p1 = Polygon(create_vertice(x1_, y1[i]))
+        cost[i] = (p0 & p1).area() / (p0 + p1).area()
+    return cost

From f036c440be280cd600279674f0ed9b4a0edbb6dd Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 16:53:26 +0200
Subject: [PATCH 006/441] files move and minor correction

---
 .gitignore                                    | 143 ++++++++++++++++--
 example/new_identification.py                 |  22 ---
 requirements_doc.txt                          |   2 +
 .../data}/Anticyclonic_20190223.nc            | Bin 1131700 -> 702127 bytes
 .../data}/Cyclonic_20190223.nc                | Bin 1169821 -> 723040 bytes
 src/py_eddy_tracker/data/__init__.py          |   6 +
 src/scripts/EddyTracking                      |   4 +-
 src/scripts/EddyTranslate                     |   2 +-
 8 files changed, 145 insertions(+), 34 deletions(-)
 delete mode 100644 example/new_identification.py
 create mode 100644 requirements_doc.txt
 rename {share => src/py_eddy_tracker/data}/Anticyclonic_20190223.nc (58%)
 rename {share => src/py_eddy_tracker/data}/Cyclonic_20190223.nc (58%)
 create mode 100644 src/py_eddy_tracker/data/__init__.py

diff --git a/.gitignore b/.gitignore
index 02abdb5a..d5d00735 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,10 +1,135 @@
-/build
-/dist
-*.pyc
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
 *.so
-*.c
-*.egg-*
-*.eclipse.*
-*.idea*
-*.project*
-*__pycache__*
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+
+# gallery
+doc/python_module/
+.vscode/settings.json
+files.txt
diff --git a/example/new_identification.py b/example/new_identification.py
deleted file mode 100644
index c167172b..00000000
--- a/example/new_identification.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from netCDF4 import Dataset
-from py_eddy_tracker.dataset.grid import RegularGridDataset, UnRegularGridDataset
-import logging
-logging.basicConfig(level=logging.DEBUG)
-
-# h = UnRegularGridDataset('NEATL36_1d_grid2D_20140515-20140515_short.nc', 'nav_lon', 'nav_lat')
-# h.high_filter('sossheig', 20, 10)
-# h.add_uv('sossheig')
-# h.write('unregular.nc')
-
-h = RegularGridDataset('/data/adelepoulle/Test/Test_eddy/20180417_eddy_tracker_validation_object_oriented/nrt_global_allsat_phy_l4_20180409_20180415.nc', 'longitude', 'latitude')
-h.high_filter('sla', 10, 5)
-anticyclonic, cyclonic = h.eddy_identification('sla', 'ugos', 'vgos', 0.0025)
-print(len(anticyclonic))
-print(len(cyclonic))
-with Dataset('/tmp/a.nc', 'w') as h:
-    anticyclonic.to_netcdf(h)
-with Dataset('/tmp/c.nc', 'w') as h:
-    cyclonic.to_netcdf(h)
-
-# h = UnRegularGridDataset('/tmp/t.nc', 'nav_lon', 'nav_lat')
-# eddies = h.eddy_identification('sossheig', step=0.005)
diff --git a/requirements_doc.txt b/requirements_doc.txt
new file mode 100644
index 00000000..bdf917bb
--- /dev/null
+++ b/requirements_doc.txt
@@ -0,0 +1,2 @@
+sphinx-gallery
+pyeddytrackersample
\ No newline at end of file
diff --git a/share/Anticyclonic_20190223.nc b/src/py_eddy_tracker/data/Anticyclonic_20190223.nc
similarity index 58%
rename from share/Anticyclonic_20190223.nc
rename to src/py_eddy_tracker/data/Anticyclonic_20190223.nc
index 577cf1fd148e7a207d5d50f5b6beeba9b3c4cc24..ddedbbd0a2e23b4bf63494dcd1dd0b6d1fdb9da6 100644
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diff --git a/share/Cyclonic_20190223.nc b/src/py_eddy_tracker/data/Cyclonic_20190223.nc
similarity index 58%
rename from share/Cyclonic_20190223.nc
rename to src/py_eddy_tracker/data/Cyclonic_20190223.nc
index ab4865b4ded15c59b3f95a18b4b2bfa93924e07c..4c3cb56f1258bd31531101d0273ddf741c2c4f3b 100644
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diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
new file mode 100644
index 00000000..19be536b
--- /dev/null
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -0,0 +1,6 @@
+from os import path
+
+
+def get_path(name):
+    return path.join(path.dirname(__file__), name)
+
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index 6190bed4..e559d426 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -151,13 +151,13 @@ if __name__ == '__main__':
             data_dir=None,
             files_model=None,
             files=CONFIG['PATHS']['FILES_PATTERN'],
-            date_regexp='.*c_([0-9]*?).nc',
+            date_regexp='.*c_([0-9]*?).[nz].*',
             date_model='%Y%m%d')
     else:
         DATASET_LIST = browse_dataset_in(
             data_dir=dirname(CONFIG['PATHS']['FILES_PATTERN']),
             files_model=basename(CONFIG['PATHS']['FILES_PATTERN']),
-            date_regexp='.*c_([0-9]*?).nc',
+            date_regexp='.*c_([0-9]*?).[nz].*',
             date_model='%Y%m%d')
 
     if BLANK_PERIOD > 0:
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index 1c7bea3d..8d9fea3e 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -41,7 +41,7 @@ if __name__ == '__main__':
     args = id_parser().parse_args()
 
     variables = get_variable_name(args.filename_in)
-    if is_nc(args.filename_out):
+    if not is_nc(args.filename_out):
         h = zarr.open(args.filename_out, 'w')
         for varname in variables:
             get_variable(args.filename_in, varname).to_zarr(h)

From b640cc1ad2fd92a12e4316f6d95bb3133f4a7f09 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 16:57:58 +0200
Subject: [PATCH 007/441] Add a dumper for zarr, and add method to obs

---
 setup.py                                      |  67 ++++++------
 src/py_eddy_tracker/generic.py                | 102 +++++++++++++-----
 .../observations/observation.py               |  60 ++++++++---
 src/scripts/ZarrDump                          |  15 +++
 4 files changed, 176 insertions(+), 68 deletions(-)
 create mode 100644 src/scripts/ZarrDump

diff --git a/setup.py b/setup.py
index b8c882f6..c91f9329 100644
--- a/setup.py
+++ b/setup.py
@@ -3,44 +3,47 @@
 
 setup(
     name="pyEddyTracker",
-    version='3.0.0',
+    version="3.0.0",
     description="Py-Eddy-Tracker libraries",
-    classifiers=['Development Status :: 3 - Alpha',
-                 'Topic :: Scientific/Engineering :: Physics',
-                 'Programming Language :: Python'],
-    keywords='eddy science, eddy tracking, eddy tracker',
-    author='emason',
-    author_email='emason@imedea.uib-csic.es',
-    packages=find_packages('src'),
-    package_dir={'': 'src'},
+    classifiers=[
+        "Development Status :: 3 - Alpha",
+        "Topic :: Scientific/Engineering :: Physics",
+        "Programming Language :: Python",
+    ],
+    keywords="eddy science, eddy tracking, eddy tracker",
+    author="emason",
+    author_email="emason@imedea.uib-csic.es",
+    packages=find_packages("src"),
+    package_dir={"": "src"},
     scripts=[
-        'src/scripts/GridFiltering',
-        'src/scripts/EddyId',
-        'src/scripts/EddySubSetter',
-        'src/scripts/EddyTranslate',
-        'src/scripts/EddyTracking',
-        'src/scripts/EddyFinalTracking',
-        'src/scripts/EddyMergeCorrespondances',
+        "src/scripts/GridFiltering",
+        "src/scripts/EddyId",
+        "src/scripts/EddySubSetter",
+        "src/scripts/EddyTranslate",
+        "src/scripts/EddyTracking",
+        "src/scripts/EddyFinalTracking",
+        "src/scripts/EddyMergeCorrespondances",
+        "src/scripts/ZarrDump",
     ],
     zip_safe=False,
-    entry_points=dict(console_scripts=[
-        'MergeEddies = py_eddy_tracker.appli:merge_eddies',
-    ]),
+    entry_points=dict(
+        console_scripts=["MergeEddies = py_eddy_tracker.appli:merge_eddies",]
+    ),
     package_data={
-        'py_eddy_tracker.featured_tracking': ['*.nc'],
-        'py_eddy_tracker': ['data/*.nc'],
+        "py_eddy_tracker.featured_tracking": ["*.nc"],
+        "py_eddy_tracker": ["data/*.nc"],
     },
     install_requires=[
-        'numpy>=1.14',
-        'scipy>=0.15.1',
-        'netCDF4>=1.1.0',
-        'matplotlib',
-        'opencv-python',
-        'pyyaml',
-        'pyproj',
-        'pint',
-        'zarr',
-        'polygon3',
-        'numba',
+        "numpy>=1.14",
+        "scipy>=0.15.1",
+        "netCDF4>=1.1.0",
+        "matplotlib",
+        "opencv-python",
+        "pyyaml",
+        "pyproj",
+        "pint",
+        "zarr",
+        "polygon3",
+        "numba",
     ],
 )
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 15dffa20..d7811b00 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -1,7 +1,20 @@
 # -*- coding: utf-8 -*-
 """
 """
-from numpy import sin, pi, cos, arctan2, empty, nan, absolute, floor, ones, linspace, interp
+from numpy import (
+    sin,
+    pi,
+    cos,
+    arctan2,
+    empty,
+    nan,
+    absolute,
+    floor,
+    ones,
+    linspace,
+    interp,
+    where,
+)
 from numba import njit, prange
 from numpy.linalg import lstsq
 
@@ -21,7 +34,7 @@ def distance_grid(lon0, lat0, lon1, lat1):
     nb_0 = lon0.shape[0]
     nb_1 = lon1.shape[0]
     dist = empty((nb_0, nb_1))
-    D2R = pi / 180.
+    D2R = pi / 180.0
     for i in prange(nb_0):
         for j in prange(nb_1):
             dlat = absolute(lat1[j] - lat0[i])
@@ -45,7 +58,7 @@ def distance_grid(lon0, lat0, lon1, lat1):
 
 @njit(cache=True, fastmath=True)
 def distance(lon0, lat0, lon1, lat1):
-    D2R = pi / 180.
+    D2R = pi / 180.0
     sin_dlat = sin((lat1 - lat0) * 0.5 * D2R)
     sin_dlon = sin((lon1 - lon0) * 0.5 * D2R)
     cos_lat1 = cos(lat0 * D2R)
@@ -57,7 +70,7 @@ def distance(lon0, lat0, lon1, lat1):
 @njit(cache=True)
 def distance_vincenty(lon0, lat0, lon1, lat1):
     """ better than haversine but buggy ??"""
-    D2R = pi / 180.
+    D2R = pi / 180.0
     dlon = (lon1 - lon0) * D2R
     cos_dlon = cos(dlon)
     cos_lat1 = cos(lat0 * D2R)
@@ -65,8 +78,13 @@ def distance_vincenty(lon0, lat0, lon1, lat1):
     sin_lat1 = sin(lat0 * D2R)
     sin_lat2 = sin(lat1 * D2R)
     return 6370997.0 * arctan2(
-        ((cos_lat2 * sin(dlon) ** 2) + (cos_lat1 * sin_lat2 - sin_lat1 * cos_lat2 * cos_dlon) ** 2) ** .5,
-        sin_lat1 * sin_lat2 + cos_lat1 * cos_lat2 * cos_dlon)
+        (
+            (cos_lat2 * sin(dlon) ** 2)
+            + (cos_lat1 * sin_lat2 - sin_lat1 * cos_lat2 * cos_dlon) ** 2
+        )
+        ** 0.5,
+        sin_lat1 * sin_lat2 + cos_lat1 * cos_lat2 * cos_dlon,
+    )
 
 
 @njit(cache=True, fastmath=True)
@@ -86,13 +104,13 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
         y_ = (y[i] - y_ref) / y_step
         i0 = int(floor(x_))
         i1 = i0 + 1
-        xd = (x_ - i0)
+        xd = x_ - i0
         if is_circular:
             i0 %= nb_x
             i1 %= nb_x
         j0 = int(floor(y_))
         j1 = j0 + 1
-        yd = (y_ - j0)
+        yd = y_ - j0
         z00 = z_g[i0, j0]
         z01 = z_g[i0, j1]
         z10 = z_g[i1, j0]
@@ -100,11 +118,13 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
         if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
             z[i] = nan
         else:
-            z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (z01 * (1 - xd) + z11 * xd) * yd
+            z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
+                z01 * (1 - xd) + z11 * xd
+            ) * yd
     return z
 
 
-@njit(cache=True, fastmath=True, parallel=True)
+@njit(cache=True, fastmath=True, parallel=False)
 def custom_convolution(data, mask, kernel):
     """do sortin at high lattitude big part of value are masked"""
     nb_x = kernel.shape[0]
@@ -113,9 +133,9 @@ def custom_convolution(data, mask, kernel):
     out = empty(data.shape[0] - nb_x + 1)
     for i in prange(out.shape[0]):
         if mask[i + demi_x, demi_y] == 1:
-            w = (mask[i:i + nb_x] * kernel).sum()
+            w = (mask[i : i + nb_x] * kernel).sum()
             if w != 0:
-                out[i] = (data[i:i + nb_x] * kernel).sum() / w
+                out[i] = (data[i : i + nb_x] * kernel).sum() / w
             else:
                 out[i] = nan
         else:
@@ -135,19 +155,19 @@ def fit_circle(x_vec, y_vec):
 
     norme = (x_vec[1:] - x_mean) ** 2 + (y_vec[1:] - y_mean) ** 2
     norme_max = norme.max()
-    scale = norme_max ** .5
+    scale = norme_max ** 0.5
 
     # Form matrix equation and solve it
     # Maybe put f4
     datas = ones((nb_elt - 1, 3))
-    datas[:, 0] = 2. * (x_vec[1:] - x_mean) / scale
-    datas[:, 1] = 2. * (y_vec[1:] - y_mean) / scale
+    datas[:, 0] = 2.0 * (x_vec[1:] - x_mean) / scale
+    datas[:, 1] = 2.0 * (y_vec[1:] - y_mean) / scale
 
     (center_x, center_y, radius), residuals, rank, s = lstsq(datas, norme / norme_max)
 
     # Unscale data and get circle variables
     radius += center_x ** 2 + center_y ** 2
-    radius **= .5
+    radius **= 0.5
     center_x *= scale
     center_y *= scale
     # radius of fitted circle
@@ -162,13 +182,16 @@ def fit_circle(x_vec, y_vec):
     # Find distance between circle center and contour points_inside_poly
     for i_elt in range(nb_elt):
         # Find distance between circle center and contour points_inside_poly
-        dist_poly = ((x_vec[i_elt] - center_x) ** 2 + (y_vec[i_elt] - center_y) ** 2) ** .5
+        dist_poly = (
+            (x_vec[i_elt] - center_x) ** 2 + (y_vec[i_elt] - center_y) ** 2
+        ) ** 0.5
         # Indices of polygon points outside circle
         # p_inon_? : polygon x or y points inside & on the circle
         if dist_poly > radius:
             p_inon_y[i_elt] = center_y + radius * (y_vec[i_elt] - center_y) / dist_poly
-            p_inon_x[i_elt] = center_x - (center_x - x_vec[i_elt]) * (center_y - p_inon_y[i_elt]) / (
-                    center_y - y_vec[i_elt])
+            p_inon_x[i_elt] = center_x - (center_x - x_vec[i_elt]) * (
+                center_y - p_inon_y[i_elt]
+            ) / (center_y - y_vec[i_elt])
         else:
             p_inon_x[i_elt] = x_vec[i_elt]
             p_inon_y[i_elt] = y_vec[i_elt]
@@ -179,14 +202,17 @@ def fit_circle(x_vec, y_vec):
     for i_elt in range(nb_elt - 1):
         # Indices of polygon points outside circle
         # p_inon_? : polygon x or y points inside & on the circle
-        p_area_incirc += p_inon_x[i_elt] * p_inon_y[1 + i_elt] - p_inon_x[i_elt + 1] * p_inon_y[i_elt]
+        p_area_incirc += (
+            p_inon_x[i_elt] * p_inon_y[1 + i_elt]
+            - p_inon_x[i_elt + 1] * p_inon_y[i_elt]
+        )
         # Shape test
         # Area and centroid of closed contour/polygon
         p_area += x_vec[i_elt] * y_vec[1 + i_elt] - x_vec[1 + i_elt] * y_vec[i_elt]
-    p_area = abs(p_area) * .5
-    p_area_incirc = abs(p_area_incirc) * .5
+    p_area = abs(p_area) * 0.5
+    p_area_incirc = abs(p_area_incirc) * 0.5
 
-    a_err = (c_area - 2 * p_area_incirc + p_area) * 100. / c_area
+    a_err = (c_area - 2 * p_area_incirc + p_area) * 100.0 / c_area
     return center_x, center_y, radius, a_err
 
 
@@ -228,8 +254,36 @@ def flatten_line_matrix(l_matrix):
     inc = 0
     for i in range(nb_line):
         for j in range(sampling):
-            out[inc] = l_matrix[i,j]
+            out[inc] = l_matrix[i, j]
             inc += 1
         out[inc] = nan
         inc += 1
     return out
+
+
+@njit(cache=True)
+def split_line(x, y, i):
+    """
+    Split x and y at each i change
+    Args:
+        x: array
+        y: array
+        i: array of int at each i change, we cut x, y
+
+    Returns: x and y separate by nan at each i jump
+    """
+    nb_jump = len(where(i[1:] - i[0] != 0)[0])
+    nb_value = x.shape[0]
+    final_size = (nb_jump - 1) + nb_value
+    new_x = empty(final_size, dtype=x.dtype)
+    new_y = empty(final_size, dtype=y.dtype)
+    new_j = 0
+    for j in range(nb_value):
+        new_x[new_j] = x[j]
+        new_y[new_j] = y[j]
+        new_j += 1
+        if j < (nb_value -1) and i[j] != i[j + 1]:
+            new_x[new_j] = nan
+            new_y[new_j] = nan
+            new_j += 1
+    return new_x, new_y
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 069f7c13..cdc4cf25 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -46,6 +46,9 @@
     concatenate,
     float64,
     ceil,
+    meshgrid,
+    arange,
+    histogram2d,
 )
 from netCDF4 import Dataset
 from datetime import datetime
@@ -54,6 +57,7 @@
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
 from tokenize import TokenError
+from matplotlib.path import Path as BasePath
 from .. import VAR_DESCR, VAR_DESCR_inv
 from ..generic import distance_grid, distance, flatten_line_matrix
 from ..poly import bbox_intersection, common_area
@@ -712,14 +716,17 @@ def propagate(
         next_obs["segment_size"][:] += 1
         return next_obs
 
-    def match(self, other, intern=False):
-        """return index and score compute with area
-        """
-        x_name, y_name = (
+    def intern(self, flag):
+        return (
             ("contour_lon_s", "contour_lat_s")
-            if intern
+            if flag
             else ("contour_lon_e", "contour_lat_e")
         )
+
+    def match(self, other, intern=False):
+        """return index and score compute with area
+        """
+        x_name, y_name = self.intern(intern)
         i, j = bbox_intersection(
             self[x_name], self[y_name], other[x_name], other[y_name]
         )
@@ -740,11 +747,7 @@ def cost_function_common_area(xy_in, xy_out, distance, intern=False):
         Returns:
 
         """
-        x_name, y_name = (
-            ("contour_lon_s", "contour_lat_s")
-            if intern
-            else ("contour_lon_e", "contour_lat_e")
-        )
+        x_name, y_name = self.intern(intern)
         nb_records = xy_in.shape[0]
         x_in, y_in = xy_in[x_name], xy_in[y_name]
         x_out, y_out = xy_out[x_name], xy_out[y_name]
@@ -1057,7 +1060,7 @@ def netcdf_create_dimensions(handler, dim, nb):
                     f"{dim} dimensions previously set to a different size {old_nb} (current value : {nb})"
                 )
 
-    def to_netcdf(self, handler):
+    def to_netcdf(self, handler, **kwargs):
         eddy_size = len(self)
         logger.debug('Create Dimensions "obs" : %d', eddy_size)
         self.netcdf_create_dimensions(handler, "obs", eddy_size)
@@ -1090,6 +1093,7 @@ def to_netcdf(self, handler):
                 self.observations[ori_name],
                 scale_factor=VAR_DESCR[name].get("scale_factor", None),
                 add_offset=VAR_DESCR[name].get("add_offset", None),
+                **kwargs,
             )
         self.set_global_attr_netcdf(handler)
 
@@ -1101,6 +1105,7 @@ def create_variable(
         data,
         scale_factor=None,
         add_offset=None,
+        **kwargs,
     ):
         dims = kwargs_variable.get("dimensions", None)
         # Manage chunk in 2d case
@@ -1113,7 +1118,10 @@ def create_variable(
                 cum *= nb
             chunk[0] = min(int(400000 / cum), len(handler_nc.dimensions[dims[0]]))
             kwargs_variable["chunksizes"] = chunk
-        var = handler_nc.createVariable(zlib=True, complevel=1, **kwargs_variable)
+        kwargs_variable["zlib"] = True
+        kwargs_variable["complevel"] = 1
+        kwargs_variable.update(kwargs)
+        var = handler_nc.createVariable(**kwargs_variable)
         attrs = list(attr_variable.keys())
         attrs.sort()
         for attr in attrs:
@@ -1260,6 +1268,34 @@ def display(self, ax, ref=None, extern_only=False, **kwargs):
                 ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
             ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
 
+    def grid_count(self, bins, intern=False, center=False):
+        x_name, y_name = self.intern(intern)
+        x_bins = arange(*bins[0])
+        y_bins = arange(*bins[1])
+        grid = ma.zeros((x_bins.shape[0] - 1, y_bins.shape[0] - 1), dtype="u4")
+        from ..dataset.grid import RegularGridDataset
+        regular_grid = RegularGridDataset.with_array(
+            coordinates=("lon", "lat"),
+            datas=dict(count=grid, lon=x_bins[:-1], lat=y_bins[:-1],),
+        )
+        if center:
+            x, y = self.longitude, self.latitude
+            grid[:] = histogram2d(x,y, (x_bins, y_bins))[0]
+            grid.mask = grid.data == 0
+        else:
+            x, y = self[x_name], self[y_name]
+            for x_, y_ in zip(x,y):
+                i, j = BasePath(custom_concat(x_,y_)).pixels_in(regular_grid)
+                grid_count_(grid, i, j)
+            grid.mask = grid == 0
+        return regular_grid
+
+
+@njit(cache=True)
+def grid_count_(grid, i, j):
+    for i_, j_ in zip(i,j):
+        grid[i_, j_] += 1
+
 
 class VirtualEddiesObservations(EddiesObservations):
     """Class to work with virtual obs
diff --git a/src/scripts/ZarrDump b/src/scripts/ZarrDump
new file mode 100644
index 00000000..6d7d8a29
--- /dev/null
+++ b/src/scripts/ZarrDump
@@ -0,0 +1,15 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+import argparse
+import zarr
+
+def zarr_header_parser():
+    parser = argparse.ArgumentParser('Zarr header')
+    parser.add_argument('dataset')
+    return parser
+
+if __name__ == '__main__':
+    args = zarr_header_parser().parse_args()
+    print(args.dataset)
+    for v in zarr.open(args.dataset).values():
+        print(v.info)

From bf913325324a7bfcdbea93405574b81a248a138a Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 16:59:56 +0200
Subject: [PATCH 008/441] Add documentation gallery

---
 doc/conf.py                     |  9 +++++++++
 doc/index.rst                   |  5 +++++
 examples/README.rst             |  2 ++
 examples/pet_histo_amplitude.py | 31 +++++++++++++++++++++++++++++++
 4 files changed, 47 insertions(+)
 create mode 100644 examples/README.rst
 create mode 100644 examples/pet_histo_amplitude.py

diff --git a/doc/conf.py b/doc/conf.py
index 4a4d3f81..be01afc8 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -33,8 +33,17 @@
     'sphinx.ext.doctest',
     'sphinx.ext.intersphinx',
     'sphinx.ext.viewcode',
+    'sphinx_gallery.gen_gallery',
 ]
 
+sphinx_gallery_conf = {
+     'examples_dirs': '../examples',   # path to your example scripts
+     'gallery_dirs': 'python_module',
+     'capture_repr': ('_repr_html_', '__repr__'),
+     'line_numbers': False,
+     'filename_pattern': '/pet',
+}
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['.templates']
 
diff --git a/doc/index.rst b/doc/index.rst
index 37558ec2..7779767b 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -13,6 +13,11 @@ Welcome to py-eddy-tracker's documentation!
 
    installation
 
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   python_module/index
 
 .. toctree::
    :maxdepth: 2
diff --git a/examples/README.rst b/examples/README.rst
new file mode 100644
index 00000000..93e87841
--- /dev/null
+++ b/examples/README.rst
@@ -0,0 +1,2 @@
+Py eddy tracker toolbox
+=======================
diff --git a/examples/pet_histo_amplitude.py b/examples/pet_histo_amplitude.py
new file mode 100644
index 00000000..7213be35
--- /dev/null
+++ b/examples/pet_histo_amplitude.py
@@ -0,0 +1,31 @@
+"""
+Amplitude Histogram
+===================
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+from numpy import arange
+
+a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
+c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+# Plot
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.hist(a['amplitude'], histtype='step', bins=arange(0.0005,1,0.002), label='Anticyclonic')
+ax.hist(c['amplitude'], histtype='step', bins=arange(0.0005,1,0.002), label='Cyclonic')
+ax.set_xlabel('Amplitude (m)')
+ax.set_xlim(0,.5)
+ax.legend()
+ax.grid()
+
+fig = plt.figure()
+ax = fig.add_subplot(111)
+bins = arange(0,150,1)
+ax.hist(a['radius_s'] / 1000., histtype='step', bins=bins, label='Anticyclonic')
+ax.hist(c['radius_s'] / 1000., histtype='step', bins=bins, label='Cyclonic')
+ax.set_xlabel('Speed_radius (km)')
+ax.set_xlim(0,150)
+ax.legend()
+ax.grid()
\ No newline at end of file

From 9721ac74537602e8453615180bc8171ada49cab7 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 17:00:25 +0200
Subject: [PATCH 009/441] add tracker

---
 .../featured_tracking/area_tracker.py         | 34 +++++++++++
 src/py_eddy_tracker/observations/tracking.py  | 61 ++++++++++++++-----
 2 files changed, 81 insertions(+), 14 deletions(-)
 create mode 100644 src/py_eddy_tracker/featured_tracking/area_tracker.py

diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
new file mode 100644
index 00000000..ae1eb7f2
--- /dev/null
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -0,0 +1,34 @@
+from ..observations.observation import EddiesObservations as Model
+from ..dataset.grid import RegularGridDataset
+from numpy import ma
+import logging
+
+logger = logging.getLogger("pet")
+
+
+class AreaTracker(Model):
+    def tracking(self, other):
+        shape = (self.shape[0], other.shape[0])
+        i, j, c = self.match(other, intern=False)
+        cost_mat = ma.empty(shape, dtype="f4")
+        cost_mat.mask = ma.ones(shape, dtype="bool")
+        m = c > 0
+        i, j, c = i[m], j[m], c[m]
+        cost_mat[i, j] = 1 - c
+
+        i_self, i_other = self.solve_function(cost_mat)
+        i_self, i_other = self.post_process_link(other, i_self, i_other)
+        logger.debug("%d matched with previous", i_self.shape[0])
+        return i_self, i_other, cost_mat[i_self, i_other]
+
+    def propagate(self, previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model):
+        virtual = super().propagate(previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model)
+        nb_dead = len(previous_obs)
+        nb_virtual_extend = nb_next - nb_dead
+        for key in model.elements:
+            if "contour_" not in key:
+                continue
+            virtual[key][:nb_dead] = current_obs[key]
+            if nb_virtual_extend > 0:
+                virtual[key][nb_dead:] = obs_to_extend[key]
+        return virtual
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index d4dacb4c..19cbee28 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -27,12 +27,24 @@
 ===========================================================================
 
 """
-from numpy import empty, arange, where, unique, interp, ones, bool_, zeros, array, median
+from numpy import (
+    empty,
+    arange,
+    where,
+    unique,
+    interp,
+    ones,
+    bool_,
+    zeros,
+    array,
+    median,
+)
 from .. import VAR_DESCR_inv
 import logging
 from datetime import datetime, timedelta
 from .observation import EddiesObservations
 from numba import njit
+from ..generic import split_line
 
 logger = logging.getLogger("pet")
 
@@ -224,12 +236,14 @@ def extract_ids(self, tracks):
         return self.__extract_with_mask(mask)
 
     def extract_first_obs_in_box(self, res):
-        data = empty(self.obs.shape, dtype=[('lon', 'f4'), ('lat', 'f4'), ('track', 'i4')])
-        data['lon'] = self.longitude - self.longitude % res
-        data['lat'] = self.latitude - self.latitude % res
-        data['track'] = self.obs["track"]
+        data = empty(
+            self.obs.shape, dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")]
+        )
+        data["lon"] = self.longitude - self.longitude % res
+        data["lat"] = self.latitude - self.latitude % res
+        data["track"] = self.obs["track"]
         _, indexs = unique(data, return_index=True)
-        mask = zeros(self.obs.shape, dtype='bool')
+        mask = zeros(self.obs.shape, dtype="bool")
         mask[indexs] = True
         return self.__extract_with_mask(mask)
 
@@ -237,15 +251,15 @@ def extract_in_direction(self, direction, value=0):
         nb_obs = self.nb_obs_by_track
         i_start = self.index_from_track
         i_stop = i_start + nb_obs - 1
-        if direction in ('S', 'N'):
+        if direction in ("S", "N"):
             d_lat = self.latitude[i_stop] - self.latitude[i_start]
-            mask = d_lat < 0 if 'S' == direction else d_lat > 0
+            mask = d_lat < 0 if "S" == direction else d_lat > 0
             mask &= abs(d_lat) > value
         else:
-            lon_start , lon_end = self.longitude[i_start], self.longitude[i_stop]
+            lon_start, lon_end = self.longitude[i_start], self.longitude[i_stop]
             lon_end = (lon_end - (lon_start - 180)) % 360 + lon_start - 180
             d_lon = lon_end - lon_start
-            mask = d_lon < 0 if 'W' == direction else d_lon > 0
+            mask = d_lon < 0 if "W" == direction else d_lon > 0
             mask &= abs(d_lon) > value
         mask = mask.repeat(nb_obs)
         return self.__extract_with_mask(mask)
@@ -280,7 +294,12 @@ def median_filter(self, half_window, xfield, yfield, inplace=True):
             self.obs[yfield] = result
 
     def __extract_with_mask(
-        self, mask, full_path=False, remove_incomplete=False, compress_id=False, reject_virtual=False,
+        self,
+        mask,
+        full_path=False,
+        remove_incomplete=False,
+        compress_id=False,
+        reject_virtual=False,
     ):
         """
         Extract a subset of observations
@@ -302,7 +321,7 @@ def __extract_with_mask(
 
         if full_path:
             if reject_virtual:
-                mask *= ~self.obs['virtual'].astype('bool')
+                mask *= ~self.obs["virtual"].astype("bool")
             tracks = unique(self.tracks[mask])
             mask = self.get_mask_from_id(tracks)
         elif remove_incomplete:
@@ -333,6 +352,14 @@ def __extract_with_mask(
                 new.obs["track"] = id_translate[new.obs["track"]]
         return new
 
+    def plot(self, ax, ref=None, ** kwargs):
+        if "label" in kwargs:
+            kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
+        x, y = split_line(self.longitude, self.latitude, self.tracks)
+        if ref is not None:
+            x = (x - ref) % 360 + ref
+        return ax.plot(x, y, **kwargs)
+
 
 @njit(cache=True)
 def compute_index(tracks, index, number):
@@ -373,7 +400,9 @@ def track_loess_filter(half_window, x, y, track):
         if i != 0:
             i_previous = i - 1
             dx = x[i] - x[i_previous]
-            while dx < half_window and i_previous != 0 and cur_track == track[i_previous]:
+            while (
+                dx < half_window and i_previous != 0 and cur_track == track[i_previous]
+            ):
                 w = (1 - (dx / half_window) ** 3) ** 3
                 y_sum += y[i_previous] * w
                 w_sum += w
@@ -412,7 +441,11 @@ def track_median_filter(half_window, x, y, track):
         cur_track = track[i]
         while x[i] - x[i_previous] > half_window or cur_track != track[i_previous]:
             i_previous += 1
-        while i_next < nb and x[i_next] - x[i] <= half_window and cur_track == track[i_next]:
+        while (
+            i_next < nb
+            and x[i_next] - x[i] <= half_window
+            and cur_track == track[i_next]
+        ):
             i_next += 1
         y_new[i] = median(y[i_previous:i_next])
     return y_new

From a10c425d34df153c0a69c77127f5eb17b723ffa7 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 17:16:07 +0200
Subject: [PATCH 010/441] add example

---
 examples/pet_center_count.py | 29 +++++++++++++++++++++++++++++
 examples/pet_display_id.py   | 22 ++++++++++++++++++++++
 2 files changed, 51 insertions(+)
 create mode 100644 examples/pet_center_count.py
 create mode 100644 examples/pet_display_id.py

diff --git a/examples/pet_center_count.py b/examples/pet_center_count.py
new file mode 100644
index 00000000..b1338162
--- /dev/null
+++ b/examples/pet_center_count.py
@@ -0,0 +1,29 @@
+"""
+Count center
+======================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+
+a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
+c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+a = a.merge(c)
+# Plot
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_subplot(111)
+ax.set_aspect("equal")
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+step = .1
+t0, t1 = a.period
+g = a.grid_count(((-5, 37, step), (30, 46, step)), center=True)
+g.vars['count'] = g.vars['count'] / (step ** 2 * (t1 - t0))
+m = g.display(ax, name='count', vmin=0, vmax=2)
+ax.grid()
+cb = plt.colorbar(m)
+cb.set_label('Eddies by 1°^2 by day')
+
diff --git a/examples/pet_display_id.py b/examples/pet_display_id.py
new file mode 100644
index 00000000..9373d654
--- /dev/null
+++ b/examples/pet_display_id.py
@@ -0,0 +1,22 @@
+"""
+Display identification
+======================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker import data
+
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
+
+# Plot
+fig = plt.figure(figsize=(15,8))
+ax = fig.add_subplot(111)
+ax.set_aspect('equal')
+ax.set_xlim(0, 360)
+ax.set_ylim(-80, 80)
+a.display(ax, label="Anticyclonic", color="r", lw=1)
+c.display(ax, label="Cyclonic", color="b", lw=1)
+ax.legend(loc="upper right")

From a44471c95e45d0af8986278e3cfec37172dea350 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 18:26:00 +0200
Subject: [PATCH 011/441] eddies frequency

---
 examples/pet_pixel_used.py | 50 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)
 create mode 100644 examples/pet_pixel_used.py

diff --git a/examples/pet_pixel_used.py b/examples/pet_pixel_used.py
new file mode 100644
index 00000000..94187977
--- /dev/null
+++ b/examples/pet_pixel_used.py
@@ -0,0 +1,50 @@
+"""
+Count pixel used
+======================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+
+a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
+c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+
+# Plot
+fig = plt.figure(figsize=(15, 20))
+ax_a = fig.add_subplot(311)
+ax_a.set_title('Anticyclonic frequency')
+ax_c = fig.add_subplot(312)
+ax_c.set_title('Cyclonic frequency')
+ax_all = fig.add_subplot(313)
+ax_all.set_title('All eddies frequency')
+
+step = 0.1
+kwargs_pcolormesh = dict(cmap='terrain_r', vmin=0, vmax=.75)
+g_a = a.grid_count(((-5, 37, step), (30, 46, step)), intern=True)
+t0, t1 = a.period
+g_a.vars["count"] = g_a.vars["count"] / (t1 - t0)
+m = g_a.display(ax_a, name="count", **kwargs_pcolormesh)
+
+g_c = c.grid_count(((-5, 37, step), (30, 46, step)), intern=True)
+t0, t1 = c.period
+g_c.vars["count"] = g_c.vars["count"] / (t1 - t0)
+m = g_c.display(ax_c, name="count", **kwargs_pcolormesh)
+
+m_c = g_c.vars["count"].mask
+m = m_c & g_a.vars["count"].mask
+g_c.vars["count"][m_c] = 0
+g_c.vars["count"] += g_a.vars["count"]
+g_c.vars["count"].mask = m
+
+m = g_c.display(ax_all, name="count", **kwargs_pcolormesh)
+
+for ax in (ax_a, ax_c, ax_all):
+    ax.set_aspect("equal")
+    ax.set_xlim(-5, 37)
+    ax.set_ylim(30, 46)
+    ax.grid()
+
+plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))

From c40e965ea31719d2431a3ea7c1869707f3d1b255 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 14 Jun 2020 23:29:14 +0200
Subject: [PATCH 012/441] Add examples

---
 examples/pet_center_count.py                  |  2 +-
 examples/pet_display_track.py                 | 29 +++++++
 .../{pet_histo_amplitude.py => pet_histo.py}  | 15 +++-
 examples/pet_lifetime.py                      | 45 +++++++++++
 examples/pet_propagation.py                   | 76 +++++++++++++++++++
 src/py_eddy_tracker/generic.py                |  2 +-
 src/py_eddy_tracker/observations/tracking.py  |  3 +-
 7 files changed, 167 insertions(+), 5 deletions(-)
 create mode 100644 examples/pet_display_track.py
 rename examples/{pet_histo_amplitude.py => pet_histo.py} (73%)
 create mode 100644 examples/pet_lifetime.py
 create mode 100644 examples/pet_propagation.py

diff --git a/examples/pet_center_count.py b/examples/pet_center_count.py
index b1338162..34eb1886 100644
--- a/examples/pet_center_count.py
+++ b/examples/pet_center_count.py
@@ -24,6 +24,6 @@
 g.vars['count'] = g.vars['count'] / (step ** 2 * (t1 - t0))
 m = g.display(ax, name='count', vmin=0, vmax=2)
 ax.grid()
-cb = plt.colorbar(m)
+cb = plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))
 cb.set_label('Eddies by 1°^2 by day')
 
diff --git a/examples/pet_display_track.py b/examples/pet_display_track.py
new file mode 100644
index 00000000..c236af45
--- /dev/null
+++ b/examples/pet_display_track.py
@@ -0,0 +1,29 @@
+"""
+Display Tracks
+======================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+
+a = a.extract_with_length((7 * 20, -1))
+c = c.extract_with_length((7 * 20, -1))
+
+# Plot
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_subplot(111)
+ax.set_aspect("equal")
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+a.plot(ax, ref=-10, label="Anticyclonic", color="b", lw=0.1)
+c.plot(ax, ref=-10, label="Cyclonic", color="r", lw=0.1)
+ax.legend()
diff --git a/examples/pet_histo_amplitude.py b/examples/pet_histo.py
similarity index 73%
rename from examples/pet_histo_amplitude.py
rename to examples/pet_histo.py
index 7213be35..aaec64ed 100644
--- a/examples/pet_histo_amplitude.py
+++ b/examples/pet_histo.py
@@ -1,5 +1,5 @@
 """
-Amplitude Histogram
+Parameter Histogram
 ===================
 
 """
@@ -22,10 +22,21 @@
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
-bins = arange(0,150,1)
+bins = arange(0,200,1)
 ax.hist(a['radius_s'] / 1000., histtype='step', bins=bins, label='Anticyclonic')
 ax.hist(c['radius_s'] / 1000., histtype='step', bins=bins, label='Cyclonic')
 ax.set_xlabel('Speed_radius (km)')
 ax.set_xlim(0,150)
 ax.legend()
+ax.grid()
+
+fig = plt.figure()
+ax = fig.add_subplot(111)
+bins = arange(0,100,1)
+ax.hist(a['speed_average'] * 100., histtype='step', bins=bins, label='Anticyclonic')
+ax.hist(c['speed_average'] * 100., histtype='step', bins=bins, label='Cyclonic')
+ax.set_xlabel('speed_average (cm/s)')
+
+ax.set_xlim(0,50)
+ax.legend()
 ax.grid()
\ No newline at end of file
diff --git a/examples/pet_lifetime.py b/examples/pet_lifetime.py
new file mode 100644
index 00000000..5974d1e9
--- /dev/null
+++ b/examples/pet_lifetime.py
@@ -0,0 +1,45 @@
+"""
+Lifetime Histogram
+===================
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+from numpy import arange
+
+a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
+c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+
+# Plot
+fig = plt.figure()
+ax_lifetime = fig.add_axes([0.05, 0.55, .4, .4])
+ax_cum_lifetime = fig.add_axes([0.55, 0.55, .4, .4])
+ax_ratio_lifetime = fig.add_axes([0.05, 0.05, .4, .4])
+ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, .4, .4])
+
+
+cum_a, bins, _ = ax_cum_lifetime.hist(a['n'], histtype='step', bins=arange(0,800,1), label='Anticyclonic', color='b')
+cum_c, bins, _ = ax_cum_lifetime.hist(c['n'], histtype='step', bins=arange(0,800,1), label='Cyclonic', color='r')
+
+x = (bins[1:] + bins[:-1]) / 2.
+ax_ratio_cum_lifetime.plot(x, cum_c/cum_a)
+
+nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
+ax_lifetime.plot(x[1:], nb_a, label='Anticyclonic', color='b')
+ax_lifetime.plot(x[1:], nb_c, label='Cyclonic', color='r')
+
+ax_ratio_lifetime.plot(x[1:], nb_c / nb_a)
+
+
+for ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):
+    ax.set_xlim(0,365)
+    if ax in (ax_lifetime, ax_cum_lifetime):
+        ax.set_ylim(1,None)
+        ax.set_yscale('log')
+        ax.legend()
+    else:
+        ax.set_ylim(0,2)
+        ax.set_ylabel('Ratio Cyclonic/Anticyclonic')
+    ax.set_xlabel('Lifetime (days)')
+    ax.grid()
diff --git a/examples/pet_propagation.py b/examples/pet_propagation.py
new file mode 100644
index 00000000..1e685633
--- /dev/null
+++ b/examples/pet_propagation.py
@@ -0,0 +1,76 @@
+"""
+Propagation Histogram
+===================
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+from py_eddy_tracker.generic import distance
+import py_eddy_tracker_sample
+from numpy import arange, empty
+from numba import njit
+
+
+@njit(cache=True)
+def cum_distance_by_track(distance, track):
+    tr_previous = 0
+    d_cum = 0
+    new_distance = empty(track.shape, dtype=distance.dtype)
+    for i in range(distance.shape[0]):
+        tr = track[i]
+        if i != 0 and tr != tr_previous:
+            d_cum = 0
+        new_distance[i] = d_cum
+        d_cum += distance[i]
+        tr_previous = tr
+    new_distance[i + 1] = d_cum
+    return new_distance
+
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
+d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
+d_a = cum_distance_by_track(d_a, a["track"]) / 1000.
+d_c = cum_distance_by_track(d_c, c["track"]) / 1000.
+
+# Plot
+fig = plt.figure()
+ax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])
+ax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])
+ax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])
+ax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])
+
+
+bins = arange(0, 1500, 25)
+cum_a, bins, _ = ax_cum_propagation.hist(
+    d_a, histtype="step", bins=bins, label="Anticyclonic", color="b"
+)
+cum_c, bins, _ = ax_cum_propagation.hist(
+    d_c, histtype="step", bins=bins, label="Cyclonic", color="r"
+)
+
+x = (bins[1:] + bins[:-1]) / 2.0
+ax_ratio_cum_propagation.plot(x, cum_c / cum_a)
+
+nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
+ax_propagation.plot(x[1:], nb_a, label="Anticyclonic", color="b")
+ax_propagation.plot(x[1:], nb_c, label="Cyclonic", color="r")
+
+ax_ratio_propagation.plot(x[1:], nb_c / nb_a)
+
+
+for ax in (ax_propagation, ax_cum_propagation, ax_ratio_cum_propagation, ax_ratio_propagation):
+    ax.set_xlim(0, 1000)
+    if ax in (ax_propagation, ax_cum_propagation):
+        ax.set_ylim(1, None)
+        ax.set_yscale("log")
+        ax.legend()
+    else:
+        ax.set_ylim(0, 2)
+        ax.set_ylabel("Ratio Cyclonic/Anticyclonic")
+    ax.set_xlabel("Propagation (km)")
+    ax.grid()
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index d7811b00..f3f12f44 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -272,7 +272,7 @@ def split_line(x, y, i):
 
     Returns: x and y separate by nan at each i jump
     """
-    nb_jump = len(where(i[1:] - i[0] != 0)[0])
+    nb_jump = len(where(i[1:] - i[:-1] != 0)[0])
     nb_value = x.shape[0]
     final_size = (nb_jump - 1) + nb_value
     new_x = empty(final_size, dtype=x.dtype)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 19cbee28..acac21c3 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -355,9 +355,10 @@ def __extract_with_mask(
     def plot(self, ax, ref=None, ** kwargs):
         if "label" in kwargs:
             kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
-        x, y = split_line(self.longitude, self.latitude, self.tracks)
+        x = self.longitude
         if ref is not None:
             x = (x - ref) % 360 + ref
+        x, y = split_line(x, self.latitude, self.tracks)
         return ax.plot(x, y, **kwargs)
 
 

From 3f2be40bf044c20bdb6c8caaa455c34f1e229e27 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 09:30:07 +0200
Subject: [PATCH 013/441] Return self if inplace for filter

---
 src/py_eddy_tracker/observations/tracking.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index acac21c3..67a389b4 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -284,6 +284,7 @@ def loess_filter(self, half_window, xfield, yfield, inplace=True):
         result = track_loess_filter(half_window, x, y, track)
         if inplace:
             self.obs[yfield] = result
+            return self
 
     def median_filter(self, half_window, xfield, yfield, inplace=True):
         track = self.obs["track"]
@@ -292,6 +293,7 @@ def median_filter(self, half_window, xfield, yfield, inplace=True):
         result = track_median_filter(half_window, x, y, track)
         if inplace:
             self.obs[yfield] = result
+            return self
 
     def __extract_with_mask(
         self,

From dd230b930ea29db4b9dceb388569bd6f62a1ace0 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 09:53:37 +0200
Subject: [PATCH 014/441] Change color of cyclone and anticyclone

---
 examples/pet_display_track.py |  9 ++++++--
 examples/pet_histo.py         | 41 ++++++++++++++++++++---------------
 examples/pet_lifetime.py      |  8 +++----
 examples/pet_one_track.py     | 25 +++++++++++++++++++++
 examples/pet_propagation.py   | 16 +++++++++-----
 5 files changed, 71 insertions(+), 28 deletions(-)
 create mode 100644 examples/pet_one_track.py

diff --git a/examples/pet_display_track.py b/examples/pet_display_track.py
index c236af45..fe7975c5 100644
--- a/examples/pet_display_track.py
+++ b/examples/pet_display_track.py
@@ -17,6 +17,11 @@
 
 a = a.extract_with_length((7 * 20, -1))
 c = c.extract_with_length((7 * 20, -1))
+a.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
+a.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+c.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
+c.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+
 
 # Plot
 fig = plt.figure(figsize=(15, 8))
@@ -24,6 +29,6 @@
 ax.set_aspect("equal")
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
-a.plot(ax, ref=-10, label="Anticyclonic", color="b", lw=0.1)
-c.plot(ax, ref=-10, label="Cyclonic", color="r", lw=0.1)
+a.plot(ax, ref=-10, label="Anticyclonic", color="r", lw=0.1)
+c.plot(ax, ref=-10, label="Cyclonic", color="b", lw=0.1)
 ax.legend()
diff --git a/examples/pet_histo.py b/examples/pet_histo.py
index aaec64ed..96958560 100644
--- a/examples/pet_histo.py
+++ b/examples/pet_histo.py
@@ -8,35 +8,42 @@
 import py_eddy_tracker_sample
 from numpy import arange
 
-a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
-c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+kwargs_a = dict(label="Anticyclonic", color="r")
+kwargs_c = dict(label="Cyclonic", color="b")
+
 # Plot
 fig = plt.figure()
 ax = fig.add_subplot(111)
-ax.hist(a['amplitude'], histtype='step', bins=arange(0.0005,1,0.002), label='Anticyclonic')
-ax.hist(c['amplitude'], histtype='step', bins=arange(0.0005,1,0.002), label='Cyclonic')
-ax.set_xlabel('Amplitude (m)')
-ax.set_xlim(0,.5)
+ax.hist(a["amplitude"], histtype="step", bins=arange(0.0005, 1, 0.002), **kwargs_a)
+ax.hist(c["amplitude"], histtype="step", bins=arange(0.0005, 1, 0.002), **kwargs_c)
+ax.set_xlabel("Amplitude (m)")
+ax.set_xlim(0, 0.5)
 ax.legend()
 ax.grid()
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
-bins = arange(0,200,1)
-ax.hist(a['radius_s'] / 1000., histtype='step', bins=bins, label='Anticyclonic')
-ax.hist(c['radius_s'] / 1000., histtype='step', bins=bins, label='Cyclonic')
-ax.set_xlabel('Speed_radius (km)')
-ax.set_xlim(0,150)
+bins = arange(0, 200, 1)
+ax.hist(a["radius_s"] / 1000.0, histtype="step", bins=bins, **kwargs_a)
+ax.hist(c["radius_s"] / 1000.0, histtype="step", bins=bins, **kwargs_c)
+ax.set_xlabel("Speed_radius (km)")
+ax.set_xlim(0, 150)
 ax.legend()
 ax.grid()
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
-bins = arange(0,100,1)
-ax.hist(a['speed_average'] * 100., histtype='step', bins=bins, label='Anticyclonic')
-ax.hist(c['speed_average'] * 100., histtype='step', bins=bins, label='Cyclonic')
-ax.set_xlabel('speed_average (cm/s)')
+bins = arange(0, 100, 1)
+ax.hist(a["speed_average"] * 100.0, histtype="step", bins=bins, **kwargs_a)
+ax.hist(c["speed_average"] * 100.0, histtype="step", bins=bins, **kwargs_c)
+ax.set_xlabel("speed_average (cm/s)")
 
-ax.set_xlim(0,50)
+ax.set_xlim(0, 50)
 ax.legend()
-ax.grid()
\ No newline at end of file
+ax.grid()
diff --git a/examples/pet_lifetime.py b/examples/pet_lifetime.py
index 5974d1e9..cb04d7ca 100644
--- a/examples/pet_lifetime.py
+++ b/examples/pet_lifetime.py
@@ -19,15 +19,15 @@
 ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, .4, .4])
 
 
-cum_a, bins, _ = ax_cum_lifetime.hist(a['n'], histtype='step', bins=arange(0,800,1), label='Anticyclonic', color='b')
-cum_c, bins, _ = ax_cum_lifetime.hist(c['n'], histtype='step', bins=arange(0,800,1), label='Cyclonic', color='r')
+cum_a, bins, _ = ax_cum_lifetime.hist(a['n'], histtype='step', bins=arange(0,800,1), label='Anticyclonic', color='r')
+cum_c, bins, _ = ax_cum_lifetime.hist(c['n'], histtype='step', bins=arange(0,800,1), label='Cyclonic', color='b')
 
 x = (bins[1:] + bins[:-1]) / 2.
 ax_ratio_cum_lifetime.plot(x, cum_c/cum_a)
 
 nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
-ax_lifetime.plot(x[1:], nb_a, label='Anticyclonic', color='b')
-ax_lifetime.plot(x[1:], nb_c, label='Cyclonic', color='r')
+ax_lifetime.plot(x[1:], nb_a, label='Anticyclonic', color='r')
+ax_lifetime.plot(x[1:], nb_c, label='Cyclonic', color='b')
 
 ax_ratio_lifetime.plot(x[1:], nb_c / nb_a)
 
diff --git a/examples/pet_one_track.py b/examples/pet_one_track.py
new file mode 100644
index 00000000..1ca89a5a
--- /dev/null
+++ b/examples/pet_one_track.py
@@ -0,0 +1,25 @@
+"""
+One Track
+===================
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+
+eddy = a.extract_ids([9672])
+eddy_f = a.extract_ids([9672])
+eddy_f.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
+eddy_f.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+fig = plt.figure(figsize=(20, 8))
+ax = fig.add_subplot(111)
+ax.set_xlim(17, 22.5)
+ax.set_ylim(35, 36.5)
+ax.grid()
+eddy.plot(ax, color='r', lw=.5)
+eddy_f.plot(ax, color='g', lw=1)
+
diff --git a/examples/pet_propagation.py b/examples/pet_propagation.py
index 1e685633..ac42654c 100644
--- a/examples/pet_propagation.py
+++ b/examples/pet_propagation.py
@@ -32,6 +32,12 @@ def cum_distance_by_track(distance, track):
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
+
+a.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
+a.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+c.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
+c.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+
 d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
 d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
 d_a = cum_distance_by_track(d_a, a["track"]) / 1000.
@@ -45,20 +51,20 @@ def cum_distance_by_track(distance, track):
 ax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])
 
 
-bins = arange(0, 1500, 25)
+bins = arange(0, 1500, 10)
 cum_a, bins, _ = ax_cum_propagation.hist(
-    d_a, histtype="step", bins=bins, label="Anticyclonic", color="b"
+    d_a, histtype="step", bins=bins, label="Anticyclonic", color="r"
 )
 cum_c, bins, _ = ax_cum_propagation.hist(
-    d_c, histtype="step", bins=bins, label="Cyclonic", color="r"
+    d_c, histtype="step", bins=bins, label="Cyclonic", color="b"
 )
 
 x = (bins[1:] + bins[:-1]) / 2.0
 ax_ratio_cum_propagation.plot(x, cum_c / cum_a)
 
 nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
-ax_propagation.plot(x[1:], nb_a, label="Anticyclonic", color="b")
-ax_propagation.plot(x[1:], nb_c, label="Cyclonic", color="r")
+ax_propagation.plot(x[1:], nb_a, label="Anticyclonic", color="r")
+ax_propagation.plot(x[1:], nb_c, label="Cyclonic", color="b")
 
 ax_ratio_propagation.plot(x[1:], nb_c / nb_a)
 

From ec1562a32c10cf8486edd7ae6e156393347a6363 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 10:00:54 +0200
Subject: [PATCH 015/441] examples move

---
 doc/index.rst                                           | 2 +-
 examples/tracking_diagnostics/README.rst                | 2 ++
 examples/{ => tracking_diagnostics}/pet_center_count.py | 6 +++---
 examples/{ => tracking_diagnostics}/pet_histo.py        | 0
 examples/{ => tracking_diagnostics}/pet_lifetime.py     | 0
 examples/{ => tracking_diagnostics}/pet_pixel_used.py   | 7 ++++---
 examples/{ => tracking_diagnostics}/pet_propagation.py  | 0
 7 files changed, 10 insertions(+), 7 deletions(-)
 create mode 100644 examples/tracking_diagnostics/README.rst
 rename examples/{ => tracking_diagnostics}/pet_center_count.py (89%)
 rename examples/{ => tracking_diagnostics}/pet_histo.py (100%)
 rename examples/{ => tracking_diagnostics}/pet_lifetime.py (100%)
 rename examples/{ => tracking_diagnostics}/pet_pixel_used.py (89%)
 rename examples/{ => tracking_diagnostics}/pet_propagation.py (100%)

diff --git a/doc/index.rst b/doc/index.rst
index 7779767b..5e3526a8 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -15,7 +15,7 @@ Welcome to py-eddy-tracker's documentation!
 
 .. toctree::
    :maxdepth: 2
-   :caption: Contents:
+   :caption: Toolbox gallery:
 
    python_module/index
 
diff --git a/examples/tracking_diagnostics/README.rst b/examples/tracking_diagnostics/README.rst
new file mode 100644
index 00000000..00178ba7
--- /dev/null
+++ b/examples/tracking_diagnostics/README.rst
@@ -0,0 +1,2 @@
+Tracking diagnostics
+=======================
diff --git a/examples/pet_center_count.py b/examples/tracking_diagnostics/pet_center_count.py
similarity index 89%
rename from examples/pet_center_count.py
rename to examples/tracking_diagnostics/pet_center_count.py
index 34eb1886..23f378d1 100644
--- a/examples/pet_center_count.py
+++ b/examples/tracking_diagnostics/pet_center_count.py
@@ -7,15 +7,15 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
+import pylook
 
 
 a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
 c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
 a = a.merge(c)
 # Plot
-fig = plt.figure(figsize=(15, 8))
-ax = fig.add_subplot(111)
-ax.set_aspect("equal")
+fig = plt.figure(figsize=(20, 8))
+ax = fig.add_subplot(111, projection='plat_carre')
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
 step = .1
diff --git a/examples/pet_histo.py b/examples/tracking_diagnostics/pet_histo.py
similarity index 100%
rename from examples/pet_histo.py
rename to examples/tracking_diagnostics/pet_histo.py
diff --git a/examples/pet_lifetime.py b/examples/tracking_diagnostics/pet_lifetime.py
similarity index 100%
rename from examples/pet_lifetime.py
rename to examples/tracking_diagnostics/pet_lifetime.py
diff --git a/examples/pet_pixel_used.py b/examples/tracking_diagnostics/pet_pixel_used.py
similarity index 89%
rename from examples/pet_pixel_used.py
rename to examples/tracking_diagnostics/pet_pixel_used.py
index 94187977..c89fd30e 100644
--- a/examples/pet_pixel_used.py
+++ b/examples/tracking_diagnostics/pet_pixel_used.py
@@ -7,6 +7,7 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
+import pylook
 
 
 a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
@@ -14,11 +15,11 @@
 
 # Plot
 fig = plt.figure(figsize=(15, 20))
-ax_a = fig.add_subplot(311)
+ax_a = fig.add_subplot(311, projection='plat_carre')
 ax_a.set_title('Anticyclonic frequency')
-ax_c = fig.add_subplot(312)
+ax_c = fig.add_subplot(312, projection='plat_carre')
 ax_c.set_title('Cyclonic frequency')
-ax_all = fig.add_subplot(313)
+ax_all = fig.add_subplot(313, projection='plat_carre')
 ax_all.set_title('All eddies frequency')
 
 step = 0.1
diff --git a/examples/pet_propagation.py b/examples/tracking_diagnostics/pet_propagation.py
similarity index 100%
rename from examples/pet_propagation.py
rename to examples/tracking_diagnostics/pet_propagation.py

From 0d7f8814af7aa36340d8bd916713fb91fe0c00f6 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 10:09:48 +0200
Subject: [PATCH 016/441] remove coast plot

---
 examples/tracking_diagnostics/pet_center_count.py | 3 +--
 examples/tracking_diagnostics/pet_pixel_used.py   | 7 +++----
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/examples/tracking_diagnostics/pet_center_count.py b/examples/tracking_diagnostics/pet_center_count.py
index 23f378d1..017477ac 100644
--- a/examples/tracking_diagnostics/pet_center_count.py
+++ b/examples/tracking_diagnostics/pet_center_count.py
@@ -7,7 +7,6 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
-import pylook
 
 
 a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
@@ -15,7 +14,7 @@
 a = a.merge(c)
 # Plot
 fig = plt.figure(figsize=(20, 8))
-ax = fig.add_subplot(111, projection='plat_carre')
+ax = fig.add_subplot(111)
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
 step = .1
diff --git a/examples/tracking_diagnostics/pet_pixel_used.py b/examples/tracking_diagnostics/pet_pixel_used.py
index c89fd30e..94187977 100644
--- a/examples/tracking_diagnostics/pet_pixel_used.py
+++ b/examples/tracking_diagnostics/pet_pixel_used.py
@@ -7,7 +7,6 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
-import pylook
 
 
 a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
@@ -15,11 +14,11 @@
 
 # Plot
 fig = plt.figure(figsize=(15, 20))
-ax_a = fig.add_subplot(311, projection='plat_carre')
+ax_a = fig.add_subplot(311)
 ax_a.set_title('Anticyclonic frequency')
-ax_c = fig.add_subplot(312, projection='plat_carre')
+ax_c = fig.add_subplot(312)
 ax_c.set_title('Cyclonic frequency')
-ax_all = fig.add_subplot(313, projection='plat_carre')
+ax_all = fig.add_subplot(313)
 ax_all.set_title('All eddies frequency')
 
 step = 0.1

From e3180d690f1bb0f7594b292bbec12ab4d1648871 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Jun 2020 11:07:24 +0200
Subject: [PATCH 017/441] Create python-app.yml

---
 .github/workflows/python-app.yml | 36 ++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 .github/workflows/python-app.yml

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
new file mode 100644
index 00000000..e30c8c33
--- /dev/null
+++ b/.github/workflows/python-app.yml
@@ -0,0 +1,36 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Python application
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.7
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.7
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+#    - name: Test with pytest
+#      run: |
+#        pytest

From 729e17e95ab2d2ca9151d9c1afa4fa0ce28f51a9 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 11:44:22 +0200
Subject: [PATCH 018/441] Apply black and test with flake8

---
 doc/conf.py                                   |   6 +-
 examples/pet_display_id.py                    |   4 +-
 examples/pet_one_track.py                     |   9 +-
 .../tracking_diagnostics/pet_center_count.py  |  17 +-
 examples/tracking_diagnostics/pet_lifetime.py |  44 +-
 .../tracking_diagnostics/pet_pixel_used.py    |  16 +-
 .../tracking_diagnostics/pet_propagation.py   |  20 +-
 setup.py                                      |   2 +-
 share/fig.py                                  |  74 +-
 src/py_eddy_tracker/__init__.py               | 749 +++++++++---------
 src/py_eddy_tracker/appli.py                  |   1 -
 src/py_eddy_tracker/data/__init__.py          |   1 -
 src/py_eddy_tracker/dataset/grid.py           |   3 +-
 src/py_eddy_tracker/eddy_feature.py           | 248 ++++--
 .../featured_tracking/area_tracker.py         |   3 +-
 .../old_tracker_reference.py                  |   2 +-
 src/py_eddy_tracker/generic.py                |   2 +-
 .../observations/observation.py               |  25 +-
 src/py_eddy_tracker/tracking.py               |  12 +-
 19 files changed, 659 insertions(+), 579 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index be01afc8..ad42fda0 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -12,8 +12,8 @@
 # All configuration values have a default; values that are commented out
 # serve to show the default.
 
-import sys
-import os
+# import sys
+# import os
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
@@ -39,7 +39,7 @@
 sphinx_gallery_conf = {
      'examples_dirs': '../examples',   # path to your example scripts
      'gallery_dirs': 'python_module',
-     'capture_repr': ('_repr_html_', '__repr__'),
+     'capture_repr': ('_repr_html_'),
      'line_numbers': False,
      'filename_pattern': '/pet',
 }
diff --git a/examples/pet_display_id.py b/examples/pet_display_id.py
index 9373d654..0cda936f 100644
--- a/examples/pet_display_id.py
+++ b/examples/pet_display_id.py
@@ -12,9 +12,9 @@
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
 # Plot
-fig = plt.figure(figsize=(15,8))
+fig = plt.figure(figsize=(15, 8))
 ax = fig.add_subplot(111)
-ax.set_aspect('equal')
+ax.set_aspect("equal")
 ax.set_xlim(0, 360)
 ax.set_ylim(-80, 80)
 a.display(ax, label="Anticyclonic", color="r", lw=1)
diff --git a/examples/pet_one_track.py b/examples/pet_one_track.py
index 1ca89a5a..acd5b340 100644
--- a/examples/pet_one_track.py
+++ b/examples/pet_one_track.py
@@ -13,13 +13,12 @@
 
 eddy = a.extract_ids([9672])
 eddy_f = a.extract_ids([9672])
-eddy_f.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
-eddy_f.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+eddy_f.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
+eddy_f.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
 fig = plt.figure(figsize=(20, 8))
 ax = fig.add_subplot(111)
 ax.set_xlim(17, 22.5)
 ax.set_ylim(35, 36.5)
 ax.grid()
-eddy.plot(ax, color='r', lw=.5)
-eddy_f.plot(ax, color='g', lw=1)
-
+eddy.plot(ax, color="r", lw=0.5)
+eddy_f.plot(ax, color="g", lw=1)
diff --git a/examples/tracking_diagnostics/pet_center_count.py b/examples/tracking_diagnostics/pet_center_count.py
index 017477ac..d20723d0 100644
--- a/examples/tracking_diagnostics/pet_center_count.py
+++ b/examples/tracking_diagnostics/pet_center_count.py
@@ -9,20 +9,23 @@
 import py_eddy_tracker_sample
 
 
-a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
-c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
 a = a.merge(c)
 # Plot
 fig = plt.figure(figsize=(20, 8))
 ax = fig.add_subplot(111)
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
-step = .1
+step = 0.1
 t0, t1 = a.period
 g = a.grid_count(((-5, 37, step), (30, 46, step)), center=True)
-g.vars['count'] = g.vars['count'] / (step ** 2 * (t1 - t0))
-m = g.display(ax, name='count', vmin=0, vmax=2)
+g.vars["count"] = g.vars["count"] / (step ** 2 * (t1 - t0))
+m = g.display(ax, name="count", vmin=0, vmax=2)
 ax.grid()
 cb = plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))
-cb.set_label('Eddies by 1°^2 by day')
-
+cb.set_label("Eddies by 1°^2 by day")
diff --git a/examples/tracking_diagnostics/pet_lifetime.py b/examples/tracking_diagnostics/pet_lifetime.py
index cb04d7ca..d91001de 100644
--- a/examples/tracking_diagnostics/pet_lifetime.py
+++ b/examples/tracking_diagnostics/pet_lifetime.py
@@ -8,38 +8,46 @@
 import py_eddy_tracker_sample
 from numpy import arange
 
-a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
-c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
 
 # Plot
 fig = plt.figure()
-ax_lifetime = fig.add_axes([0.05, 0.55, .4, .4])
-ax_cum_lifetime = fig.add_axes([0.55, 0.55, .4, .4])
-ax_ratio_lifetime = fig.add_axes([0.05, 0.05, .4, .4])
-ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, .4, .4])
+ax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])
+ax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])
+ax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])
+ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])
 
 
-cum_a, bins, _ = ax_cum_lifetime.hist(a['n'], histtype='step', bins=arange(0,800,1), label='Anticyclonic', color='r')
-cum_c, bins, _ = ax_cum_lifetime.hist(c['n'], histtype='step', bins=arange(0,800,1), label='Cyclonic', color='b')
+cum_a, bins, _ = ax_cum_lifetime.hist(
+    a["n"], histtype="step", bins=arange(0, 800, 1), label="Anticyclonic", color="r"
+)
+cum_c, bins, _ = ax_cum_lifetime.hist(
+    c["n"], histtype="step", bins=arange(0, 800, 1), label="Cyclonic", color="b"
+)
 
-x = (bins[1:] + bins[:-1]) / 2.
-ax_ratio_cum_lifetime.plot(x, cum_c/cum_a)
+x = (bins[1:] + bins[:-1]) / 2.0
+ax_ratio_cum_lifetime.plot(x, cum_c / cum_a)
 
 nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
-ax_lifetime.plot(x[1:], nb_a, label='Anticyclonic', color='r')
-ax_lifetime.plot(x[1:], nb_c, label='Cyclonic', color='b')
+ax_lifetime.plot(x[1:], nb_a, label="Anticyclonic", color="r")
+ax_lifetime.plot(x[1:], nb_c, label="Cyclonic", color="b")
 
 ax_ratio_lifetime.plot(x[1:], nb_c / nb_a)
 
 
 for ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):
-    ax.set_xlim(0,365)
+    ax.set_xlim(0, 365)
     if ax in (ax_lifetime, ax_cum_lifetime):
-        ax.set_ylim(1,None)
-        ax.set_yscale('log')
+        ax.set_ylim(1, None)
+        ax.set_yscale("log")
         ax.legend()
     else:
-        ax.set_ylim(0,2)
-        ax.set_ylabel('Ratio Cyclonic/Anticyclonic')
-    ax.set_xlabel('Lifetime (days)')
+        ax.set_ylim(0, 2)
+        ax.set_ylabel("Ratio Cyclonic/Anticyclonic")
+    ax.set_xlabel("Lifetime (days)")
     ax.grid()
diff --git a/examples/tracking_diagnostics/pet_pixel_used.py b/examples/tracking_diagnostics/pet_pixel_used.py
index 94187977..b01b9a9d 100644
--- a/examples/tracking_diagnostics/pet_pixel_used.py
+++ b/examples/tracking_diagnostics/pet_pixel_used.py
@@ -9,20 +9,24 @@
 import py_eddy_tracker_sample
 
 
-a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
-c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
 
 # Plot
 fig = plt.figure(figsize=(15, 20))
 ax_a = fig.add_subplot(311)
-ax_a.set_title('Anticyclonic frequency')
+ax_a.set_title("Anticyclonic frequency")
 ax_c = fig.add_subplot(312)
-ax_c.set_title('Cyclonic frequency')
+ax_c.set_title("Cyclonic frequency")
 ax_all = fig.add_subplot(313)
-ax_all.set_title('All eddies frequency')
+ax_all.set_title("All eddies frequency")
 
 step = 0.1
-kwargs_pcolormesh = dict(cmap='terrain_r', vmin=0, vmax=.75)
+kwargs_pcolormesh = dict(cmap="terrain_r", vmin=0, vmax=0.75)
 g_a = a.grid_count(((-5, 37, step), (30, 46, step)), intern=True)
 t0, t1 = a.period
 g_a.vars["count"] = g_a.vars["count"] / (t1 - t0)
diff --git a/examples/tracking_diagnostics/pet_propagation.py b/examples/tracking_diagnostics/pet_propagation.py
index ac42654c..dcc57f36 100644
--- a/examples/tracking_diagnostics/pet_propagation.py
+++ b/examples/tracking_diagnostics/pet_propagation.py
@@ -26,6 +26,7 @@ def cum_distance_by_track(distance, track):
     new_distance[i + 1] = d_cum
     return new_distance
 
+
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -33,15 +34,15 @@ def cum_distance_by_track(distance, track):
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
-a.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
-a.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
-c.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
-c.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
+a.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
+a.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
+c.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
+c.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
 
 d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
 d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
-d_a = cum_distance_by_track(d_a, a["track"]) / 1000.
-d_c = cum_distance_by_track(d_c, c["track"]) / 1000.
+d_a = cum_distance_by_track(d_a, a["track"]) / 1000.0
+d_c = cum_distance_by_track(d_c, c["track"]) / 1000.0
 
 # Plot
 fig = plt.figure()
@@ -69,7 +70,12 @@ def cum_distance_by_track(distance, track):
 ax_ratio_propagation.plot(x[1:], nb_c / nb_a)
 
 
-for ax in (ax_propagation, ax_cum_propagation, ax_ratio_cum_propagation, ax_ratio_propagation):
+for ax in (
+    ax_propagation,
+    ax_cum_propagation,
+    ax_ratio_cum_propagation,
+    ax_ratio_propagation,
+):
     ax.set_xlim(0, 1000)
     if ax in (ax_propagation, ax_cum_propagation):
         ax.set_ylim(1, None)
diff --git a/setup.py b/setup.py
index c91f9329..dab4f05d 100644
--- a/setup.py
+++ b/setup.py
@@ -27,7 +27,7 @@
     ],
     zip_safe=False,
     entry_points=dict(
-        console_scripts=["MergeEddies = py_eddy_tracker.appli:merge_eddies",]
+        console_scripts=["MergeEddies = py_eddy_tracker.appli:merge_eddies"]
     ),
     package_data={
         "py_eddy_tracker.featured_tracking": ["*.nc"],
diff --git a/share/fig.py b/share/fig.py
index 15dcc0f4..416247cf 100644
--- a/share/fig.py
+++ b/share/fig.py
@@ -1,53 +1,63 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
-grid_name, lon_name, lat_name = 'nrt_global_allsat_phy_l4_20190223_20190226.nc', 'longitude', 'latitude'
+
+grid_name, lon_name, lat_name = (
+    "nrt_global_allsat_phy_l4_20190223_20190226.nc",
+    "longitude",
+    "latitude",
+)
 if False:
 
     h = RegularGridDataset(grid_name, lon_name, lat_name)
-    
+
     fig = plt.figure(figsize=(14, 12))
-    ax = fig.add_axes([.02, .51, .9, .45])
-    ax.set_title('ADT (m)')
+    ax = fig.add_axes([0.02, 0.51, 0.9, 0.45])
+    ax.set_title("ADT (m)")
     ax.set_ylim(-75, 75)
-    ax.set_aspect('equal')
-    m = h.display(ax, name='adt', vmin=-1, vmax=1)
+    ax.set_aspect("equal")
+    m = h.display(ax, name="adt", vmin=-1, vmax=1)
     ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([.94, .51, .01, .45]))
+    plt.colorbar(m, cax=fig.add_axes([0.94, 0.51, 0.01, 0.45]))
     h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter('adt', 500, order=3)
-    ax = fig.add_axes([.02, .02, .9, .45])
-    ax.set_title('ADT Filtered (m)')
-    ax.set_aspect('equal')
+    h.bessel_high_filter("adt", 500, order=3)
+    ax = fig.add_axes([0.02, 0.02, 0.9, 0.45])
+    ax.set_title("ADT Filtered (m)")
+    ax.set_aspect("equal")
     ax.set_ylim(-75, 75)
-    m = h.display(ax, name='adt', vmin=-.1, vmax=.1)
+    m = h.display(ax, name="adt", vmin=-0.1, vmax=0.1)
     ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([.94, .02, .01, .45]))
-    fig.savefig('png/filter.png')
+    plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.45]))
+    fig.savefig("png/filter.png")
 
 if True:
     import logging
-    logging.getLogger().setLevel('DEBUG') # Values: ERROR, WARNING, INFO, DEBUG
+
+    logging.getLogger().setLevel("DEBUG")  # Values: ERROR, WARNING, INFO, DEBUG
     from datetime import datetime
+
     h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter('adt', 500, order=3)
+    h.bessel_high_filter("adt", 500, order=3)
     # h.bessel_high_filter('adt', 300, order=1)
     date = datetime(2019, 2, 23)
     a, c = h.eddy_identification(
-        'adt', 'ugos', 'vgos', # Variable to use for identification
-        date, # Date of identification
-        0.002, # step between two isolines of detection (m)
+        "adt",
+        "ugos",
+        "vgos",  # Variable to use for identification
+        date,  # Date of identification
+        0.002,  # step between two isolines of detection (m)
         # 0.02, # step between two isolines of detection (m)
-        pixel_limit=(5, 2000), # Min and max of pixel can be include in contour
-        shape_error=55, # Error maximal of circle fitting over contour to be accepted
-        bbox_surface_min_degree=.125 ** 2, # degrees surface minimal to take in account contour
-        )
-    fig = plt.figure(figsize=(15,7))
-    ax = fig.add_axes([.03,.03,.94,.94])
-    ax.set_title('Eddies detected -- Cyclonic(red) and Anticyclonic(blue)')
-    ax.set_ylim(-75,75)
-    ax.set_xlim(0,360)
-    ax.set_aspect('equal')
-    a.display(ax, color='b', linewidth=.5)
-    c.display(ax, color='r', linewidth=.5)
+        pixel_limit=(5, 2000),  # Min and max of pixel can be include in contour
+        shape_error=55,  # Error maximal of circle fitting over contour to be accepted
+        bbox_surface_min_degree=0.125
+        ** 2,  # degrees surface minimal to take in account contour
+    )
+    fig = plt.figure(figsize=(15, 7))
+    ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
+    ax.set_title("Eddies detected -- Cyclonic(red) and Anticyclonic(blue)")
+    ax.set_ylim(-75, 75)
+    ax.set_xlim(0, 360)
+    ax.set_aspect("equal")
+    a.display(ax, color="b", linewidth=0.5)
+    c.display(ax, color="r", linewidth=0.5)
     ax.grid()
-    fig.savefig('png/eddies.png')
+    fig.savefig("png/eddies.png")
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 32cf96a1..9a2e473a 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -34,11 +34,13 @@
 
 
 def start_logger():
-    FORMAT_LOG = "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t\t\t\t\t%(message)s"
+    FORMAT_LOG = (
+        "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t\t\t\t\t%(message)s"
+    )
     # set up logging to CONSOLE
     console = logging.StreamHandler()
     console.setFormatter(ColoredFormatter(FORMAT_LOG))
-    logger = logging.getLogger('pet')
+    logger = logging.getLogger("pet")
     # add the handler to the root logger
     logger.addHandler(console)
     return logger
@@ -57,9 +59,9 @@ def __init__(self, message):
         super(ColoredFormatter, self).__init__(message)
 
     def format(self, record):
-        color = self.COLOR_LEVEL.get(record.levelname, '')
-        color_reset = '\033[0m'
-        model = color + '%s' + color_reset
+        color = self.COLOR_LEVEL.get(record.levelname, "")
+        color_reset = "\033[0m"
+        model = color + "%s" + color_reset
         record.msg = model % record.msg
         record.funcName = model % record.funcName
         record.module = model % record.module
@@ -78,11 +80,13 @@ def __init__(self, *args, **kwargs):
     def add_base_argument(self):
         """Base arguments
         """
-        self.add_argument('-v', '--verbose',
-                          dest='logging_level',
-                          default='ERROR',
-                          help='Levels : DEBUG, INFO, WARNING,'
-                               ' ERROR, CRITICAL')
+        self.add_argument(
+            "-v",
+            "--verbose",
+            dest="logging_level",
+            default="ERROR",
+            help="Levels : DEBUG, INFO, WARNING," " ERROR, CRITICAL",
+        )
 
     def parse_args(self, *args, **kwargs):
         logger = start_logger()
@@ -95,514 +99,497 @@ def parse_args(self, *args, **kwargs):
 
 VAR_DESCR = dict(
     time=dict(
-        attr_name='time',
-        nc_name='time',
-        old_nc_name=['j1'],
-        nc_type='int32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            standard_name='time',
-            units='days since 1950-01-01 00:00:00',
-            calendar='proleptic_gregorian',
-            axis='T',
-            longname='Time',
-            description='Date of this observation',
-        )
+        attr_name="time",
+        nc_name="time",
+        old_nc_name=["j1"],
+        nc_type="int32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            standard_name="time",
+            units="days since 1950-01-01 00:00:00",
+            calendar="proleptic_gregorian",
+            axis="T",
+            longname="Time",
+            description="Date of this observation",
+        ),
     ),
     type_cyc=dict(
         attr_name=None,
-        nc_name='cyclonic_type',
-        old_nc_name=['cyc'],
-        nc_type='byte',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='cyclonic',
-            units='boolean',
-            description='Cyclonic -1; anti-cyclonic +1',
-        )
+        nc_name="cyclonic_type",
+        old_nc_name=["cyc"],
+        nc_type="byte",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="cyclonic",
+            units="boolean",
+            description="Cyclonic -1; anti-cyclonic +1",
+        ),
     ),
     segment_size=dict(
         attr_name=None,
-        nc_name='segment_size',
-        nc_type='byte',
-        nc_dims=('obs',),
-        nc_attr=dict()
+        nc_name="segment_size",
+        nc_type="byte",
+        nc_dims=("obs",),
+        nc_attr=dict(),
     ),
     dlon=dict(
         attr_name=None,
-        nc_name='dlon',
-        nc_type='float64',
-        nc_dims=('obs',),
-        nc_attr=dict()
+        nc_name="dlon",
+        nc_type="float64",
+        nc_dims=("obs",),
+        nc_attr=dict(),
     ),
     dlat=dict(
         attr_name=None,
-        nc_name='dlat',
-        nc_type='float64',
-        nc_dims=('obs',),
-        nc_attr=dict()
+        nc_name="dlat",
+        nc_type="float64",
+        nc_dims=("obs",),
+        nc_attr=dict(),
     ),
     virtual=dict(
         attr_name=None,
-        nc_name='observation_flag',
-        old_nc_name=['virtual'],
-        nc_type='byte',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='virtual_position',
-            units='boolean',
-            description='Flag indicating if the value is interpolated between two'
-                        ' observations or not (0: observed, 1: interpolated)',
-        )
+        nc_name="observation_flag",
+        old_nc_name=["virtual"],
+        nc_type="byte",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="virtual_position",
+            units="boolean",
+            description="Flag indicating if the value is interpolated between two"
+            " observations or not (0: observed, 1: interpolated)",
+        ),
     ),
     cost_association=dict(
         attr_name=None,
-        nc_name='cost_association',
-        nc_type='float32',
-        nc_dims=('obs',),
+        nc_name="cost_association",
+        nc_type="float32",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='cost_value_to_associate_with_next_observation',
-            description='Cost value to associate with the next observation',
-        )
+            longname="cost_value_to_associate_with_next_observation",
+            description="Cost value to associate with the next observation",
+        ),
     ),
     lon=dict(
-        attr_name='lon',
-        compute_type='float64',
-        nc_name='longitude',
-        old_nc_name=['lon', 'Lon'],
-        nc_type='float32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            units='degrees_east',
-            axis='X',
-            description='Observation longitude',
-            longname='longitude of measurement',
-            standard_name='longitude',
-        )
+        attr_name="lon",
+        compute_type="float64",
+        nc_name="longitude",
+        old_nc_name=["lon", "Lon"],
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            units="degrees_east",
+            axis="X",
+            description="Observation longitude",
+            longname="longitude of measurement",
+            standard_name="longitude",
+        ),
     ),
     lat=dict(
-        attr_name='lat',
-        compute_type='float64',
-        nc_name='latitude',
-        old_nc_name=['lat', 'Lat'],
-        nc_type='float32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            units='degrees_north',
-            axis='Y',
-            longname='latitude of measurement',
-            standard_name='latitude',
-            description='Observation latitude',
-        )
+        attr_name="lat",
+        compute_type="float64",
+        nc_name="latitude",
+        old_nc_name=["lat", "Lat"],
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            units="degrees_north",
+            axis="Y",
+            longname="latitude of measurement",
+            standard_name="latitude",
+            description="Observation latitude",
+        ),
     ),
     lon_max=dict(
-        attr_name='lon_max',
-        compute_type='float64',
-        nc_name='longitude_max',
-        old_nc_name=['lon_max'],
-        nc_type='float32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            units='degrees_east',
-            axis='X',
-            description='Observation longitude',
-            longname='longitude of amplitude max',
-            standard_name='longitude',
-        )
+        attr_name="lon_max",
+        compute_type="float64",
+        nc_name="longitude_max",
+        old_nc_name=["lon_max"],
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            units="degrees_east",
+            axis="X",
+            description="Observation longitude",
+            longname="longitude of amplitude max",
+            standard_name="longitude",
+        ),
     ),
     lat_max=dict(
-        attr_name='lat_max',
-        compute_type='float64',
-        nc_name='latitude_max',
-        old_nc_name=['lat_max'],
-        nc_type='float32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            units='degrees_north',
-            axis='Y',
-            description='Observation latitude',
-            longname='latitude of amplitude max',
-            standard_name='latitude',
-        )
+        attr_name="lat_max",
+        compute_type="float64",
+        nc_name="latitude_max",
+        old_nc_name=["lat_max"],
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            units="degrees_north",
+            axis="Y",
+            description="Observation latitude",
+            longname="latitude of amplitude max",
+            standard_name="latitude",
+        ),
     ),
     amplitude=dict(
-        attr_name='amplitude',
-        nc_name='amplitude',
-        old_nc_name=['A'],
-        nc_type='float32',
-        output_type='uint16',
+        attr_name="amplitude",
+        nc_name="amplitude",
+        old_nc_name=["A"],
+        nc_type="float32",
+        output_type="uint16",
         scale_factor=0.001,
-        nc_dims=('obs',),
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='amplitude',
-            units='m',
-            description='Magnitude of the height difference between the extremum of ADT within '
-                        'the eddy and the ADT around the contour defining the eddy perimeter',
-        )
+            longname="amplitude",
+            units="m",
+            description="Magnitude of the height difference between the extremum of ADT within "
+            "the eddy and the ADT around the contour defining the eddy perimeter",
+        ),
     ),
     speed_average=dict(
-        attr_name='speed_average',
-        scale_factor=.0001,
-        nc_name='speed_average',
-        old_nc_name=['U'],
-        nc_type='float32',
-        output_type='uint16',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='maximum circum-averaged speed',
-            units='m/s',
-            description='Average speed of the contour defining the radius scale “speed_radius”',
-        )
+        attr_name="speed_average",
+        scale_factor=0.0001,
+        nc_name="speed_average",
+        old_nc_name=["U"],
+        nc_type="float32",
+        output_type="uint16",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="maximum circum-averaged speed",
+            units="m/s",
+            description="Average speed of the contour defining the radius scale “speed_radius”",
+        ),
     ),
     uavg_profile=dict(
         attr_name=None,
-        nc_name='uavg_profile',
-        output_type='u2',
-        scale_factor=.0001,
-        nc_type='f4',
+        nc_name="uavg_profile",
+        output_type="u2",
+        scale_factor=0.0001,
+        nc_type="f4",
         # filters=[zarr.Delta('u2')],
-        nc_dims=('obs', 'NbSample'),
+        nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname='radial profile of uavg',
-            units='m/s',
-            description='Speed average values from effective contour inwards to smallest inner contour',
-        )
+            longname="radial profile of uavg",
+            units="m/s",
+            description="Speed average values from effective contour inwards to smallest inner contour",
+        ),
     ),
     i=dict(
-        attr_name='i',
-        nc_name='i',
-        nc_type='uint16',
-        nc_dims=('obs',),
+        attr_name="i",
+        nc_name="i",
+        nc_type="uint16",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='longitude index in the grid of the detection',
-            description='Longitude index in the grid of the detection',
-        )
+            longname="longitude index in the grid of the detection",
+            description="Longitude index in the grid of the detection",
+        ),
     ),
     j=dict(
-        attr_name='j',
-        nc_name='j',
-        nc_type='uint16',
-        nc_dims=('obs',),
+        attr_name="j",
+        nc_name="j",
+        nc_type="uint16",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='latitude index in the grid of the detection',
-            description='Latitude index in the grid of the detection',
-        )
+            longname="latitude index in the grid of the detection",
+            description="Latitude index in the grid of the detection",
+        ),
     ),
     eke=dict(
-        attr_name='eke',
-        nc_name='Teke',
-        nc_type='float32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='sum EKE within contour Ceff',
-            units='m^2/s^2',
-            description='Sum of eddy kinetic energy within contour '
-                        'defining the effective radius',
-        )
+        attr_name="eke",
+        nc_name="Teke",
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="sum EKE within contour Ceff",
+            units="m^2/s^2",
+            description="Sum of eddy kinetic energy within contour "
+            "defining the effective radius",
+        ),
     ),
     radius_e=dict(
-        attr_name='radius_e',
-        nc_name='effective_radius',
-        old_nc_name=['radius_e', 'Dia'],
-        nc_type='float32',
-        output_type='u2',
-        scale_factor=50.,
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='effective radius scale',
-            units='m',
-            description='Radius of a circle whose area is equal to that enclosed by the effective contour',
-        )
+        attr_name="radius_e",
+        nc_name="effective_radius",
+        old_nc_name=["radius_e", "Dia"],
+        nc_type="float32",
+        output_type="u2",
+        scale_factor=50.0,
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="effective radius scale",
+            units="m",
+            description="Radius of a circle whose area is equal to that enclosed by the effective contour",
+        ),
     ),
     radius_s=dict(
-        attr_name='radius_s',
-        nc_name='speed_radius',
-        old_nc_name=['L', 'radius_s'],
-        nc_type='float32',
-        output_type='u2',
-        scale_factor=50.,
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='speed radius scale',
-            units='m',
-            description='Radius of a circle whose area is equal to that enclosed by the contour of maximum circum-average speed',
-        )
+        attr_name="radius_s",
+        nc_name="speed_radius",
+        old_nc_name=["L", "radius_s"],
+        nc_type="float32",
+        output_type="u2",
+        scale_factor=50.0,
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="speed radius scale",
+            units="m",
+            description="Radius of a circle whose area is equal to that enclosed by the contour of maximum circum-average speed",
+        ),
     ),
     track=dict(
         attr_name=None,
-        nc_name='track',
-        old_nc_name=['Eddy_id'],
-        nc_type='uint32',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='track number',
-            units='ordinal',
-            description='Eddy identification number',
-        )
+        nc_name="track",
+        old_nc_name=["Eddy_id"],
+        nc_type="uint32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="track number",
+            units="ordinal",
+            description="Eddy identification number",
+        ),
     ),
     sub_track=dict(
         attr_name=None,
-        nc_name='sub_track',
-        nc_type='uint32',
-        nc_dims=('obs',),
+        nc_name="sub_track",
+        nc_type="uint32",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='segment_number',
-            units='ordinal',
-            description='segment number inside a group',
-        )
+            longname="segment_number",
+            units="ordinal",
+            description="segment number inside a group",
+        ),
     ),
     n=dict(
         attr_name=None,
-        nc_name='observation_number',
-        old_nc_name=['n', 'Eddy_tsp'],
-        nc_type='uint16',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='observation number',
-            units='ordinal',
-            description='Observation sequence number, days from eddy first detection',
-        )
+        nc_name="observation_number",
+        old_nc_name=["n", "Eddy_tsp"],
+        nc_type="uint16",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="observation number",
+            units="ordinal",
+            description="Observation sequence number, days from eddy first detection",
+        ),
     ),
     contour_lon_e=dict(
         attr_name=None,
-        nc_name='effective_contour_longitude',
-        old_nc_name=['contour_lon_e'],
-        nc_type='f4',
-        filters=[zarr.Delta('i2')],
-        output_type='i2',
+        nc_name="effective_contour_longitude",
+        old_nc_name=["contour_lon_e"],
+        nc_type="f4",
+        filters=[zarr.Delta("i2")],
+        output_type="i2",
         scale_factor=numpy.float32(0.01),
         add_offset=180,
-        nc_dims=('obs', 'NbSample'),
+        nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname='effective contour longitudes',
-            description='Longitudes of effective contour',
-            units='degrees_east',
-            axis='X',
-        )
+            longname="effective contour longitudes",
+            description="Longitudes of effective contour",
+            units="degrees_east",
+            axis="X",
+        ),
     ),
     contour_lat_e=dict(
         attr_name=None,
-        nc_name='effective_contour_latitude',
-        old_nc_name=['contour_lat_e'],
-        nc_type='f4',
-        filters=[zarr.Delta('i2')],
-        output_type='i2',
+        nc_name="effective_contour_latitude",
+        old_nc_name=["contour_lat_e"],
+        nc_type="f4",
+        filters=[zarr.Delta("i2")],
+        output_type="i2",
         scale_factor=numpy.float32(0.01),
-        nc_dims=('obs', 'NbSample'),
+        nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname='effective contour latitudes',
-            description='Latitudes of effective contour',
-            units='degrees_east',
-            axis='X',
-        )
+            longname="effective contour latitudes",
+            description="Latitudes of effective contour",
+            units="degrees_east",
+            axis="X",
+        ),
     ),
     contour_lon_s=dict(
         attr_name=None,
-        nc_name='speed_contour_longitude',
-        old_nc_name=['contour_lon_s'],
-        nc_type='f4',
-        filters=[zarr.Delta('i2')],
-        output_type='i2',
+        nc_name="speed_contour_longitude",
+        old_nc_name=["contour_lon_s"],
+        nc_type="f4",
+        filters=[zarr.Delta("i2")],
+        output_type="i2",
         scale_factor=numpy.float32(0.01),
         add_offset=180,
-        nc_dims=('obs', 'NbSample'),
+        nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname='speed contour longitudes',
-            description='Longitudes of speed contour',
-            units='degrees_east',
-            axis='X',
-        )
+            longname="speed contour longitudes",
+            description="Longitudes of speed contour",
+            units="degrees_east",
+            axis="X",
+        ),
     ),
     contour_lat_s=dict(
         attr_name=None,
-        nc_name='speed_contour_latitude',
-        old_nc_name=['contour_lat_s'],
-        nc_type='f4',
-        filters=[zarr.Delta('i2')],
-        output_type='i2',
+        nc_name="speed_contour_latitude",
+        old_nc_name=["contour_lat_s"],
+        nc_type="f4",
+        filters=[zarr.Delta("i2")],
+        output_type="i2",
         scale_factor=numpy.float32(0.01),
-        nc_dims=('obs', 'NbSample'),
+        nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname='speed contour latitudes',
-            description='Latitudes of speed contour',
-            units='degrees_east',
-            axis='X',
-        )
+            longname="speed contour latitudes",
+            description="Latitudes of speed contour",
+            units="degrees_east",
+            axis="X",
+        ),
     ),
     shape_error_e=dict(
         attr_name=None,
-        nc_name='effective_contour_shape_error',
-        old_nc_name=['shape_error_e'],
-        nc_type='f2',
-        output_type='u1',
+        nc_name="effective_contour_shape_error",
+        old_nc_name=["shape_error_e"],
+        nc_type="f2",
+        output_type="u1",
         scale_factor=0.5,
-        nc_dims=('obs',),
+        nc_dims=("obs",),
         nc_attr=dict(
-            units='%',
-            description='Error criterion of fit on effective contour',
-            longname='effective contour error',
-        )
+            units="%",
+            description="Error criterion of fit on effective contour",
+            longname="effective contour error",
+        ),
     ),
     score=dict(
         attr_name=None,
-        nc_name='score',
-        nc_type='f2',
-        output_type='u1',
+        nc_name="score",
+        nc_type="f2",
+        output_type="u1",
         scale_factor=0.4,
-        nc_dims=('obs',),
-        nc_attr=dict(
-            units='%',
-            description='score',
-            longname='score',
-        )
+        nc_dims=("obs",),
+        nc_attr=dict(units="%", description="score", longname="score",),
     ),
     index_other=dict(
         attr_name=None,
-        nc_name='index_other',
-        nc_type='u4',
-        nc_dims=('obs',),
+        nc_name="index_other",
+        nc_type="u4",
+        nc_dims=("obs",),
         nc_attr=dict(
-            units='ordinal',
-            description='index in the other dataset',
-            longname='index_other',
-        )
+            units="ordinal",
+            description="index in the other dataset",
+            longname="index_other",
+        ),
     ),
     shape_error_s=dict(
         attr_name=None,
-        nc_name='speed_contour_shape_error',
-        old_nc_name=['shape_error_s'],
-        nc_type='f2',
-        output_type='u1',
+        nc_name="speed_contour_shape_error",
+        old_nc_name=["shape_error_s"],
+        nc_type="f2",
+        output_type="u1",
         scale_factor=0.5,
-        nc_dims=('obs',),
+        nc_dims=("obs",),
         nc_attr=dict(
-            units='%',
-            description='Error criterion of fit on speed contour',
-            longname='speed contour error',
-        )
+            units="%",
+            description="Error criterion of fit on speed contour",
+            longname="speed contour error",
+        ),
     ),
     height_max_speed_contour=dict(
         attr_name=None,
-        nc_name='speed_contour_height',
-        old_nc_name=['height_max_speed_contour'],
-        nc_type='f4',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='speed contour height',
-            description='ADT filtered height for speed contour',
-            units='m',
-        )
+        nc_name="speed_contour_height",
+        old_nc_name=["height_max_speed_contour"],
+        nc_type="f4",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="speed contour height",
+            description="ADT filtered height for speed contour",
+            units="m",
+        ),
     ),
     height_external_contour=dict(
         attr_name=None,
-        nc_name='effective_contour_height',
-        old_nc_name=['height_external_contour'],
-        nc_type='f4',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='effective contour height',
-            description='ADT filtered height for effective contour',
-            units='m',
-        )
+        nc_name="effective_contour_height",
+        old_nc_name=["height_external_contour"],
+        nc_type="f4",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="effective contour height",
+            description="ADT filtered height for effective contour",
+            units="m",
+        ),
     ),
     height_inner_contour=dict(
         attr_name=None,
-        nc_name='inner_contour_height',
-        old_nc_name=['height_inner_contour'],
-        nc_type='f4',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='inner contour height',
-            description='ADT filtered height for inner contour',
-            units='m',
-        )
+        nc_name="inner_contour_height",
+        old_nc_name=["height_inner_contour"],
+        nc_type="f4",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="inner contour height",
+            description="ADT filtered height for inner contour",
+            units="m",
+        ),
     ),
     chl=dict(
         attr_name=None,
-        nc_name='chl',
-        old_nc_name=['Chl'],
-        nc_type='f4',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='Log base 10 chlorophyll',
-            units='Log(Chl/[mg/m^3])',
-        )
+        nc_name="chl",
+        old_nc_name=["Chl"],
+        nc_type="f4",
+        nc_dims=("obs",),
+        nc_attr=dict(longname="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
     ),
     dchl=dict(
         attr_name=None,
-        nc_name='dchl',
-        old_nc_name=['dChl'],
-        nc_type='f4',
-        nc_dims=('obs',),
+        nc_name="dchl",
+        old_nc_name=["dChl"],
+        nc_type="f4",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='Log base 10 chlorophyll anomaly (Chl minus Chl_bg)',
-            units='Log(Chl/[mg/m^3])',
-        )
+            longname="Log base 10 chlorophyll anomaly (Chl minus Chl_bg)",
+            units="Log(Chl/[mg/m^3])",
+        ),
     ),
     chl_bg=dict(
         attr_name=None,
-        nc_name='chl_bg',
-        old_nc_name=['Chl_bg'],
-        nc_type='f4',
-        nc_dims=('obs',),
+        nc_name="chl_bg",
+        old_nc_name=["Chl_bg"],
+        nc_type="f4",
+        nc_dims=("obs",),
         nc_attr=dict(
-            longname='Log base 10 background chlorophyll',
-            units='Log(Chl/[mg/m^3])',
-        )
+            longname="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+        ),
     ),
     year=dict(
         attr_name=None,
-        nc_name='year',
-        old_nc_name=['Year'],
-        nc_type='u2',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='Year',
-            units='year',
-        )
+        nc_name="year",
+        old_nc_name=["Year"],
+        nc_type="u2",
+        nc_dims=("obs",),
+        nc_attr=dict(longname="Year", units="year",),
     ),
     month=dict(
         attr_name=None,
-        nc_name='month',
-        old_nc_name=['Month'],
-        nc_type='u1',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='Month',
-            units='month',
-        )
+        nc_name="month",
+        old_nc_name=["Month"],
+        nc_type="u1",
+        nc_dims=("obs",),
+        nc_attr=dict(longname="Month", units="month",),
     ),
     day=dict(
         attr_name=None,
-        nc_name='day',
-        old_nc_name=['Day'],
-        nc_type='u1',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='Day',
-            units='day',
-        )
+        nc_name="day",
+        old_nc_name=["Day"],
+        nc_type="u1",
+        nc_dims=("obs",),
+        nc_attr=dict(longname="Day", units="day",),
     ),
     nb_contour_selected=dict(
         attr_name=None,
-        nc_name='num_contours',
-        old_nc_name=['nb_contour_selected'],
-        nc_type='u2',
-        nc_dims=('obs',),
-        nc_attr=dict(
-            longname='number of contour',
-            units='ordinal',
-            description='Number of contour selected for this eddy',
-        )
+        nc_name="num_contours",
+        old_nc_name=["nb_contour_selected"],
+        nc_type="u2",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="number of contour",
+            units="ordinal",
+            description="Number of contour selected for this eddy",
+        ),
     ),
 )
 
 for key in VAR_DESCR.keys():
-    if 'output_type' not in VAR_DESCR[key]:
-        VAR_DESCR[key]['output_type'] = VAR_DESCR[key]['nc_type']
+    if "output_type" not in VAR_DESCR[key]:
+        VAR_DESCR[key]["output_type"] = VAR_DESCR[key]["nc_type"]
 
 VAR_DESCR_inv = dict()
 for key in VAR_DESCR.keys():
-    VAR_DESCR_inv[VAR_DESCR[key]['nc_name']] = key
-    for key_old in VAR_DESCR[key].get('old_nc_name', list()):
+    VAR_DESCR_inv[VAR_DESCR[key]["nc_name"]] = key
+    for key_old in VAR_DESCR[key].get("old_nc_name", list()):
         VAR_DESCR_inv[key_old] = key
diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index b131f29a..1c524fc4 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -25,4 +25,3 @@ def merge_eddies():
             other = other.add_rotation_type()
         obs = obs.merge(other)
     obs.write_file(filename=args.out)
-
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 19be536b..83203f34 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -3,4 +3,3 @@
 
 def get_path(name):
     return path.join(path.dirname(__file__), name)
-
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 2254b759..4ba4e0f3 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1088,7 +1088,6 @@ def init_pos_interpolator(self):
 
     def _low_filter(self, grid_name, w_cut, factor=8.0):
         data = self.grid(grid_name)
-        mean_data = data.mean()
         x = self.grid(self.coordinates[0])
         y = self.grid(self.coordinates[1])
         regrid_step = w_cut / 111.0 / factor
@@ -1335,7 +1334,7 @@ def _low_filter(self, grid_name, w_cut, **kwargs):
         """low filtering
         """
         return self.convolve_filter_with_dynamic_kernel(
-            grid_name, self.kernel_bessel, lat_max=lat_max, wave_length=w_cut, **kwargs
+            grid_name, self.kernel_bessel, wave_length=w_cut, **kwargs
         )
 
     def convolve_filter_with_dynamic_kernel(
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 99f120bb..234ee12b 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -40,17 +40,18 @@ class Amplitude(object):
     Class to calculate *amplitude* and counts of *local maxima/minima*
     within a closed region of a sea level anomaly field.
     """
+
     EPSILON = 1e-8
     __slots__ = (
-        'h_0',
-        'grid_extract',
-        'pixel_mask',
-        'nb_pixel',
-        'sla',
-        'contour',
-        'interval_min',
-        'amplitude',
-        'mle',
+        "h_0",
+        "grid_extract",
+        "pixel_mask",
+        "nb_pixel",
+        "sla",
+        "contour",
+        "interval_min",
+        "amplitude",
+        "mle",
     )
 
     def __init__(self, contour, contour_height, data, interval):
@@ -64,19 +65,23 @@ def __init__(self, contour, contour_height, data, interval):
         (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
         on_bounds = x_start > x_stop
         if on_bounds:
-            self.grid_extract = ma.concatenate((data[x_start:, y_start:y_stop], data[:x_stop, y_start:y_stop]))
+            self.grid_extract = ma.concatenate(
+                (data[x_start:, y_start:y_stop], data[:x_stop, y_start:y_stop])
+            )
             if self.grid_extract.mask.size == 1:
                 self.grid_extract = ma.array(
                     self.grid_extract,
-                    mask=ones(self.grid_extract.shape, dtype='bool') * self.grid_extract.mask)
+                    mask=ones(self.grid_extract.shape, dtype="bool")
+                    * self.grid_extract.mask,
+                )
         else:
             self.grid_extract = data[x_start:x_stop, y_start:y_stop]
         # => maybe replace pixel out of contour by nan?
-        self.pixel_mask = zeros(self.grid_extract.shape, dtype='bool')
+        self.pixel_mask = zeros(self.grid_extract.shape, dtype="bool")
         i_x = contour.pixels_index[0] - x_start
         if on_bounds:
             i_x %= data.shape[0]
-        
+
         self.pixel_mask[i_x, contour.pixels_index[1] - y_start] = True
         self.nb_pixel = i_x.shape[0]
 
@@ -103,18 +108,29 @@ def all_pixels_below_h0(self, level):
             return False
         else:
             # All local extrema index on th box
-            lmi_i, lmi_j = detect_local_minima_(self.grid_extract.data, self.grid_extract.mask, self.pixel_mask,
-                                                self.mle, 1)
+            lmi_i, lmi_j = detect_local_minima_(
+                self.grid_extract.data,
+                self.grid_extract.mask,
+                self.pixel_mask,
+                self.mle,
+                1,
+            )
             # After we use grid.data because index are in contour and we check before than no pixel are hide
             nb = len(lmi_i)
             if nb == 0:
-                logger.warning('No extrema found in contour of %d pixels in level %f', self.nb_pixel,level)
+                logger.warning(
+                    "No extrema found in contour of %d pixels in level %f",
+                    self.nb_pixel,
+                    level,
+                )
                 return False
             elif nb == 1:
                 i, j = lmi_i[0], lmi_j[0]
             else:
                 # Verify if several extrema are seriously below contour
-                nb_real_extrema = ((level - self.grid_extract.data[lmi_i, lmi_j]) >= self.interval_min).sum()
+                nb_real_extrema = (
+                    (level - self.grid_extract.data[lmi_i, lmi_j]) >= self.interval_min
+                ).sum()
                 if nb_real_extrema > self.mle:
                     return False
                 index = self.grid_extract.data[lmi_i, lmi_j].argmin()
@@ -135,17 +151,28 @@ def all_pixels_above_h0(self, level):
             return False
         else:
             # All local extrema index on th box
-            lmi_i, lmi_j = detect_local_minima_(self.grid_extract.data, self.grid_extract.mask, self.pixel_mask,
-                                                self.mle, -1)
+            lmi_i, lmi_j = detect_local_minima_(
+                self.grid_extract.data,
+                self.grid_extract.mask,
+                self.pixel_mask,
+                self.mle,
+                -1,
+            )
             nb = len(lmi_i)
             if nb == 0:
-                logger.warning('No extrema found in contour of %d pixels in level %f', self.nb_pixel,level)
+                logger.warning(
+                    "No extrema found in contour of %d pixels in level %f",
+                    self.nb_pixel,
+                    level,
+                )
                 return False
             elif nb == 1:
                 i, j = lmi_i[0], lmi_j[0]
             else:
                 # Verify if several extrema are seriously above contour
-                nb_real_extrema = ((self.grid_extract.data[lmi_i, lmi_j] - level) >= self.interval_min).sum()
+                nb_real_extrema = (
+                    (self.grid_extract.data[lmi_i, lmi_j] - level) >= self.interval_min
+                ).sum()
                 if nb_real_extrema > self.mle:
                     return False
                 index = self.grid_extract.data[lmi_i, lmi_j].argmax()
@@ -257,18 +284,19 @@ class Contours(object):
       grd:
         A grid object
     """
+
     __slots__ = (
-        'contours',
-        'x_value',
-        'y_value',
-        'contour_index',
-        'level_index',
-        'x_min_per_contour',
-        'y_min_per_contour',
-        'x_max_per_contour',
-        'y_max_per_contour',
-        'nb_pt_per_contour',
-        'nb_contour_per_level',
+        "contours",
+        "x_value",
+        "y_value",
+        "contour_index",
+        "level_index",
+        "x_min_per_contour",
+        "y_min_per_contour",
+        "x_max_per_contour",
+        "y_max_per_contour",
+        "nb_pt_per_contour",
+        "nb_contour_per_level",
     )
 
     DELTA_PREC = 1e-10
@@ -301,9 +329,15 @@ def find_wrapcut_path_and_join(self, x0, x1):
             # All path near meridian bounds
             for path in paths:
                 x_start, x_end = path.vertices[0, 0], path.vertices[-1, 0]
-                if abs(x_start - x0) < self.DELTA_PREC and abs(x_end - x0) < self.DELTA_PREC:
+                if (
+                    abs(x_start - x0) < self.DELTA_PREC
+                    and abs(x_end - x0) < self.DELTA_PREC
+                ):
                     paths_left.append(path)
-                elif abs(x_start - x1) < self.DELTA_PREC and abs(x_end - x1) < self.DELTA_PREC:
+                elif (
+                    abs(x_start - x1) < self.DELTA_PREC
+                    and abs(x_end - x1) < self.DELTA_PREC
+                ):
                     paths_right.append(path)
                 else:
                     paths_out.append(path)
@@ -312,11 +346,19 @@ def find_wrapcut_path_and_join(self, x0, x1):
                 # Solve simple close (2 segment)
                 for i_left, path_left in enumerate(paths_left):
                     for i_right, path_right in enumerate(paths_right):
-                        if abs(path_left.vertices[0, 1] - path_right.vertices[-1, 1]) < self.DELTA_PREC and abs(
-                                path_left.vertices[-1, 1] - path_right.vertices[0, 1]) < self.DELTA_PREC:
+                        if (
+                            abs(path_left.vertices[0, 1] - path_right.vertices[-1, 1])
+                            < self.DELTA_PREC
+                            and abs(
+                                path_left.vertices[-1, 1] - path_right.vertices[0, 1]
+                            )
+                            < self.DELTA_PREC
+                        ):
                             polys_to_pop_left.append(i_left)
                             path_right.vertices[:, 0] -= 360
-                            path_left.vertices = concatenate((path_left.vertices, path_right.vertices[1:]))
+                            path_left.vertices = concatenate(
+                                (path_left.vertices, path_right.vertices[1:])
+                            )
                             path_left.vertices[-1] = path_left.vertices[0]
                             paths_solve.append(path_left)
                             paths_right.pop(i_right)
@@ -336,28 +378,35 @@ def find_wrapcut_path_and_join(self, x0, x1):
                 paths_out.extend(paths_left)
                 paths_out.extend(paths_right)
                 collection._paths = paths_out
-        logger.info('%d contours close over the bounds', poly_solve)
+        logger.info("%d contours close over the bounds", poly_solve)
 
     def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         """
         c_i : index to contours
         l_i : index to levels
         """
-        logger.info('Start computing iso lines')
+        logger.info("Start computing iso lines")
         fig = Figure()
         ax = fig.add_subplot(111)
         if wrap_x:
-            logger.debug('wrapping activate to compute contour')
+            logger.debug("wrapping activate to compute contour")
             x = concatenate((x, x[:1] + 360))
             z = ma.concatenate((z, z[:1]))
-        logger.debug('X shape : %s', x.shape)
-        logger.debug('Y shape : %s', y.shape)
-        logger.debug('Z shape : %s', z.shape)
-        logger.info('Start computing iso lines with %d levels from %f to %f ...', len(levels), levels[0], levels[-1])
-        self.contours = ax.contour(x, y, z.T if z.shape != x.shape else z, levels, cmap='rainbow')
+        logger.debug("X shape : %s", x.shape)
+        logger.debug("Y shape : %s", y.shape)
+        logger.debug("Z shape : %s", z.shape)
+        logger.info(
+            "Start computing iso lines with %d levels from %f to %f ...",
+            len(levels),
+            levels[0],
+            levels[-1],
+        )
+        self.contours = ax.contour(
+            x, y, z.T if z.shape != x.shape else z, levels, cmap="rainbow"
+        )
         if wrap_x:
             self.find_wrapcut_path_and_join(x[0], x[-1])
-        logger.info('Finish computing iso lines')
+        logger.info("Finish computing iso lines")
 
         nb_level = 0
         nb_contour = 0
@@ -366,8 +415,9 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = \
-                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
+            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
+                i, x, y
+            )
             nb_level += 1
 
             keep_path = list()
@@ -380,8 +430,10 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
                     keep_path.append(contour)
                     continue
                 # Remove unclosed path
-                d_closed = ((contour.vertices[0, 0] - contour.vertices[-1, 0]) ** 2 + (
-                            contour.vertices[0, 1] - contour.vertices[-1, 1]) ** 2) ** .5
+                d_closed = (
+                    (contour.vertices[0, 0] - contour.vertices[-1, 0]) ** 2
+                    + (contour.vertices[0, 1] - contour.vertices[-1, 1]) ** 2
+                ) ** 0.5
                 if d_closed > self.DELTA_SUP:
                     continue
                 elif d_closed != 0:
@@ -407,8 +459,12 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
                 contour.used = False
                 nb_contour += 1
                 nb_pt += contour.vertices.shape[0]
-        logger.info('Repair %d closed contours and %d almost closed contours / %d contours', closed_contours,
-                     almost_closed_contours, nb_contour)
+        logger.info(
+            "Repair %d closed contours and %d almost closed contours / %d contours",
+            closed_contours,
+            almost_closed_contours,
+            nb_contour,
+        )
         # Type for coordinates
         coord_dtype = contour.vertices.dtype
 
@@ -416,10 +472,10 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         self.x_value = empty(nb_pt, dtype=coord_dtype)
         self.y_value = empty(nb_pt, dtype=coord_dtype)
 
-        self.level_index = empty(nb_level, dtype='u4')
-        self.nb_contour_per_level = empty(nb_level, dtype='u4')
+        self.level_index = empty(nb_level, dtype="u4")
+        self.nb_contour_per_level = empty(nb_level, dtype="u4")
 
-        self.nb_pt_per_contour = empty(nb_contour, dtype='u4')
+        self.nb_pt_per_contour = empty(nb_contour, dtype="u4")
 
         self.x_min_per_contour = empty(nb_contour, dtype=coord_dtype)
         self.x_max_per_contour = empty(nb_contour, dtype=coord_dtype)
@@ -435,12 +491,18 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
             for contour in collection.get_paths():
                 nb_pt = contour.vertices.shape[0]
                 # Copy pt
-                self.x_value[i_pt:i_pt + nb_pt] = contour.vertices[:, 0]
-                self.y_value[i_pt:i_pt + nb_pt] = contour.vertices[:, 1]
+                self.x_value[i_pt : i_pt + nb_pt] = contour.vertices[:, 0]
+                self.y_value[i_pt : i_pt + nb_pt] = contour.vertices[:, 1]
 
                 # Set bbox
-                self.x_min_per_contour[i_c], self.y_min_per_contour[i_c] = contour.xmin, contour.ymin
-                self.x_max_per_contour[i_c], self.y_max_per_contour[i_c] = contour.xmax, contour.ymax
+                self.x_min_per_contour[i_c], self.y_min_per_contour[i_c] = (
+                    contour.xmin,
+                    contour.ymin,
+                )
+                self.x_max_per_contour[i_c], self.y_max_per_contour[i_c] = (
+                    contour.xmax,
+                    contour.ymax,
+                )
 
                 # Count pt
                 self.nb_pt_per_contour[i_c] = nb_pt
@@ -449,8 +511,7 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
             i_l += 1
 
         self.contour_index = array(
-            self.nb_pt_per_contour.cumsum() - self.nb_pt_per_contour,
-            dtype='u4'
+            self.nb_pt_per_contour.cumsum() - self.nb_pt_per_contour, dtype="u4"
         )
         self.level_index[0] = 0
         self.nb_contour_per_level[:-1] = self.level_index[1:] - self.level_index[:-1]
@@ -470,7 +531,7 @@ def levels(self):
     def get_index_nearest_path_bbox_contain_pt(self, level, xpt, ypt):
         """Get index from the nearest path in the level, if the bbox of the
         path contain pt
-        
+
         overhead of python is huge with numba, cython little bit best??
         """
         index = index_from_nearest_path_with_pt_in_bbox_(
@@ -486,15 +547,24 @@ def get_index_nearest_path_bbox_contain_pt(self, level, xpt, ypt):
             self.x_max_per_contour,
             self.y_max_per_contour,
             xpt,
-            ypt
+            ypt,
         )
         if index == -1:
             return None
         else:
             return self.contours.collections[level]._paths[index]
 
-    def display(self, ax, step=1, only_used=False, only_unused=False, only_contain_eddies=False, **kwargs):
+    def display(
+        self,
+        ax,
+        step=1,
+        only_used=False,
+        only_unused=False,
+        only_contain_eddies=False,
+        **kwargs
+    ):
         from matplotlib.collections import LineCollection
+
         for j, collection in enumerate(self.contours.collections[::step]):
             paths = list()
             for i in collection.get_paths():
@@ -506,14 +576,14 @@ def display(self, ax, step=1, only_used=False, only_unused=False, only_contain_e
                     continue
                 paths.append(i.vertices)
             local_kwargs = kwargs.copy()
-            if 'color' not in kwargs:
-                local_kwargs['color'] = collection.get_color()
-                local_kwargs.pop('label', None)
+            if "color" not in kwargs:
+                local_kwargs["color"] = collection.get_color()
+                local_kwargs.pop("label", None)
             elif j != 0:
-                local_kwargs.pop('label', None)
+                local_kwargs.pop("label", None)
             ax.add_collection(LineCollection(paths, **local_kwargs))
 
-        if hasattr(self.contours, '_mins'):
+        if hasattr(self.contours, "_mins"):
             ax.update_datalim([self.contours._mins, self.contours._maxs])
         ax.autoscale_view()
 
@@ -521,7 +591,7 @@ def label_contour_unused_which_contain_eddies(self, eddies):
         """Select contour which contain several eddies"""
         if eddies.sign_type == 1:
             # anticyclonic
-            sl = slice(None,-1)
+            sl = slice(None, -1)
             cor = 1
         else:
             # cyclonic
@@ -531,7 +601,7 @@ def label_contour_unused_which_contain_eddies(self, eddies):
         # On each level
         for j, collection in enumerate(self.contours.collections[sl]):
             # get next height
-            contour_height= self.contours.cvalues[j + cor]
+            contour_height = self.contours.cvalues[j + cor]
             # On each contour
             for i in collection.get_paths():
                 i.contain_eddies = False
@@ -540,13 +610,15 @@ def label_contour_unused_which_contain_eddies(self, eddies):
                 nb = 0
                 # try with each eddy
                 for eddy in eddies:
-                    if abs(eddy['height_external_contour'] - contour_height) > 1e-8:
+                    if abs(eddy["height_external_contour"] - contour_height) > 1e-8:
                         continue
                     # If eddy center in contour
-                    wn = winding_number_poly(eddy['lon_max'], eddy['lat_max'], i.vertices)
+                    wn = winding_number_poly(
+                        eddy["lon_max"], eddy["lat_max"], i.vertices
+                    )
                     if wn != 0:
                         # Count
-                        nb +=1
+                        nb += 1
 
                 if nb > 1:
                     i.contain_eddies = True
@@ -554,20 +626,20 @@ def label_contour_unused_which_contain_eddies(self, eddies):
 
 @njit(cache=True, fastmath=True)
 def index_from_nearest_path_with_pt_in_bbox_(
-        level_index,
-        l_i,
-        nb_c_per_l,
-        nb_pt_per_c,
-        indices_of_first_pts,
-        x_value,
-        y_value,
-        x_min_per_c,
-        y_min_per_c,
-        x_max_per_c,
-        y_max_per_c,
-        xpt,
-        ypt,
-    ):
+    level_index,
+    l_i,
+    nb_c_per_l,
+    nb_pt_per_c,
+    indices_of_first_pts,
+    x_value,
+    y_value,
+    x_min_per_c,
+    y_min_per_c,
+    x_max_per_c,
+    y_max_per_c,
+    xpt,
+    ypt,
+):
     """Get index from nearest path in edge bbox contain pt
     """
     # Nb contour in level
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index ae1eb7f2..7a7bb36a 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -1,5 +1,4 @@
 from ..observations.observation import EddiesObservations as Model
-from ..dataset.grid import RegularGridDataset
 from numpy import ma
 import logging
 
@@ -31,4 +30,4 @@ def propagate(self, previous_obs, current_obs, obs_to_extend, dead_track, nb_nex
             virtual[key][:nb_dead] = current_obs[key]
             if nb_virtual_extend > 0:
                 virtual[key][nb_dead:] = obs_to_extend[key]
-        return virtual
\ No newline at end of file
+        return virtual
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 8900279a..908f4554 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -1,6 +1,6 @@
 from ..observations.observation import EddiesObservations as Model
 from ..dataset.grid import RegularGridDataset
-from numpy import where, meshgrid, bincount, ones, unique, bool_, arange
+from numpy import where, bincount, ones, unique, bool_, arange
 from numba import njit
 from os import path
 
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index f3f12f44..76a6d498 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -282,7 +282,7 @@ def split_line(x, y, i):
         new_x[new_j] = x[j]
         new_y[new_j] = y[j]
         new_j += 1
-        if j < (nb_value -1) and i[j] != i[j + 1]:
+        if j < (nb_value - 1) and i[j] != i[j + 1]:
             new_x[new_j] = nan
             new_y[new_j] = nan
             new_j += 1
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index cdc4cf25..aa6fdadb 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -46,7 +46,6 @@
     concatenate,
     float64,
     ceil,
-    meshgrid,
     arange,
     histogram2d,
 )
@@ -630,15 +629,12 @@ def from_zarr(cls, handler):
             kwargs["array_variables"] = handler.array_variables.split(",")
         if len(handler.track_extra_variables) > 1:
             kwargs["track_extra_variables"] = handler.track_extra_variables.split(",")
-        for variable in handler.variables:
-            var_inv = VAR_DESCR_inv[variable]
         eddies = cls(size=nb_obs, **kwargs)
         for variable in handler.variables:
             # Patch
             if variable == "time":
                 eddies.obs[variable] = handler.variables[variable][:]
             else:
-                #
                 eddies.obs[VAR_DESCR_inv[variable]] = handler.variables[variable][:]
         return eddies
 
@@ -651,15 +647,12 @@ def from_netcdf(cls, handler):
             kwargs["array_variables"] = handler.array_variables.split(",")
         if len(handler.track_extra_variables) > 1:
             kwargs["track_extra_variables"] = handler.track_extra_variables.split(",")
-        for variable in handler.variables:
-            var_inv = VAR_DESCR_inv[variable]
         eddies = cls(size=nb_obs, **kwargs)
         for variable in handler.variables:
             # Patch
             if variable == "time":
                 eddies.obs[variable] = handler.variables[variable][:]
             else:
-                #
                 eddies.obs[VAR_DESCR_inv[variable]] = handler.variables[variable][:]
         return eddies
 
@@ -716,7 +709,8 @@ def propagate(
         next_obs["segment_size"][:] += 1
         return next_obs
 
-    def intern(self, flag):
+    @staticmethod
+    def intern(flag):
         return (
             ("contour_lon_s", "contour_lat_s")
             if flag
@@ -736,8 +730,8 @@ def match(self, other, intern=False):
         m = c > 0
         return i[m], j[m], c[m]
 
-    @staticmethod
-    def cost_function_common_area(xy_in, xy_out, distance, intern=False):
+    @classmethod
+    def cost_function_common_area(cls, xy_in, xy_out, distance, intern=False):
         """ How does it work on x bound ?
         Args:
             xy_in:
@@ -747,7 +741,7 @@ def cost_function_common_area(xy_in, xy_out, distance, intern=False):
         Returns:
 
         """
-        x_name, y_name = self.intern(intern)
+        x_name, y_name = cls.intern(intern)
         nb_records = xy_in.shape[0]
         x_in, y_in = xy_in[x_name], xy_in[y_name]
         x_out, y_out = xy_out[x_name], xy_out[y_name]
@@ -1274,18 +1268,19 @@ def grid_count(self, bins, intern=False, center=False):
         y_bins = arange(*bins[1])
         grid = ma.zeros((x_bins.shape[0] - 1, y_bins.shape[0] - 1), dtype="u4")
         from ..dataset.grid import RegularGridDataset
+
         regular_grid = RegularGridDataset.with_array(
             coordinates=("lon", "lat"),
             datas=dict(count=grid, lon=x_bins[:-1], lat=y_bins[:-1],),
         )
         if center:
             x, y = self.longitude, self.latitude
-            grid[:] = histogram2d(x,y, (x_bins, y_bins))[0]
+            grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
             grid.mask = grid.data == 0
         else:
             x, y = self[x_name], self[y_name]
-            for x_, y_ in zip(x,y):
-                i, j = BasePath(custom_concat(x_,y_)).pixels_in(regular_grid)
+            for x_, y_ in zip(x, y):
+                i, j = BasePath(custom_concat(x_, y_)).pixels_in(regular_grid)
                 grid_count_(grid, i, j)
             grid.mask = grid == 0
         return regular_grid
@@ -1293,7 +1288,7 @@ def grid_count(self, bins, intern=False, center=False):
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
-    for i_, j_ in zip(i,j):
+    for i_, j_ in zip(i, j):
         grid[i_, j_] += 1
 
 
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 78b0c040..a28e1eba 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -152,7 +152,7 @@ def swap_dataset(self, dataset, raw_data=False):
         """
         self.previous2_obs = self.previous_obs
         self.previous_obs = self.current_obs
-        self.current_obs = self.class_method.load_from_netcdf(dataset, raw_data=raw_data)
+        self.current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
 
     def merge_correspondance(self, other):
         # Verify compliance of file
@@ -225,8 +225,8 @@ def store_correspondance(self, i_previous, i_current, nb_real_obs, association_c
             nb_rebirth = correspondance['virtual'].sum()
             if nb_rebirth != 0:
                 logger.debug('%d re-birth due to prolongation with'
-                              ' virtual observations', nb_rebirth)
-                ## Set id for virtual
+                             ' virtual observations', nb_rebirth)
+                # Set id for virtual
                 # get correspondance mask using virtual obs
                 m_virtual = correspondance['virtual']
                 # index of virtual in virtual obs
@@ -303,7 +303,7 @@ def load_state(self):
             first_dataset = len(self.previous_correspondance.datasets)
             for correspondance in self.previous_correspondance[:first_dataset]:
                 self.append(correspondance)
-            self.current_obs = self.class_method.load_from_netcdf(self.datasets[first_dataset - 2])
+            self.current_obs = self.class_method.load_file(self.datasets[first_dataset - 2])
             flg_virtual = self.previous_correspondance.virtual
             with Dataset(self.filename_previous_correspondance) as general_handler:
                 self.current_id = general_handler.last_current_id
@@ -472,8 +472,8 @@ def prepare_merging(self):
             if self.virtual:
                 # When start is virtual, we don't have a previous
                 # correspondance
-                self.nb_obs_by_tracks[correspondance['id'][correspondance['virtual']]
-                ] += correspondance['virtual_length'][correspondance['virtual']]
+                self.nb_obs_by_tracks[correspondance['id'][correspondance['virtual']]] += \
+                    correspondance['virtual_length'][correspondance['virtual']]
 
         # Compute index of each tracks
         self.i_current_by_tracks = self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks

From a237a29f04741e8194eb98588078b4b4c1ed10a5 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 15:59:53 +0200
Subject: [PATCH 019/441] add examples

---
 examples/00_tracking_manipulation/README.rst  |  2 +
 .../pet_display_field.py                      | 29 ++++++++++
 .../pet_display_track.py                      |  5 +-
 .../pet_one_track.py                          |  7 ++-
 .../pet_select_track_across_area.py           | 33 +++++++++++
 .../README.rst                                |  0
 .../pet_center_count.py                       |  6 +-
 .../pet_geographic_stats.py                   | 58 +++++++++++++++++++
 .../pet_histo.py                              |  0
 .../pet_lifetime.py                           |  0
 .../pet_pixel_used.py                         | 16 +++--
 .../pet_propagation.py                        |  0
 examples/README.rst                           |  5 ++
 src/py_eddy_tracker/dataset/grid.py           |  6 +-
 .../observations/observation.py               | 32 ++++++++--
 15 files changed, 176 insertions(+), 23 deletions(-)
 create mode 100644 examples/00_tracking_manipulation/README.rst
 create mode 100644 examples/00_tracking_manipulation/pet_display_field.py
 rename examples/{ => 00_tracking_manipulation}/pet_display_track.py (92%)
 rename examples/{ => 00_tracking_manipulation}/pet_one_track.py (83%)
 create mode 100644 examples/00_tracking_manipulation/pet_select_track_across_area.py
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/README.rst (100%)
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/pet_center_count.py (80%)
 create mode 100644 examples/10_tracking_diagnostics/pet_geographic_stats.py
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/pet_histo.py (100%)
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/pet_lifetime.py (100%)
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/pet_pixel_used.py (72%)
 rename examples/{tracking_diagnostics => 10_tracking_diagnostics}/pet_propagation.py (100%)

diff --git a/examples/00_tracking_manipulation/README.rst b/examples/00_tracking_manipulation/README.rst
new file mode 100644
index 00000000..73d43181
--- /dev/null
+++ b/examples/00_tracking_manipulation/README.rst
@@ -0,0 +1,2 @@
+Tracking Manipulation
+=======================
diff --git a/examples/00_tracking_manipulation/pet_display_field.py b/examples/00_tracking_manipulation/pet_display_field.py
new file mode 100644
index 00000000..d47e082c
--- /dev/null
+++ b/examples/00_tracking_manipulation/pet_display_field.py
@@ -0,0 +1,29 @@
+"""
+Display fields
+==============
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+
+c = c.extract_with_length((180, -1))
+
+# Plot
+fig = plt.figure(figsize=(12, 6))
+ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
+ax.set_aspect("equal")
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+m = c.scatter(ax, "amplitude", ref=-10, vmin=0, vmax=0.1)
+ax.grid()
+
+cb = plt.colorbar(
+    m, cax=fig.add_axes([0.05, 0.07, 0.9, 0.01]), orientation="horizontal"
+)
+cb.set_label("Amplitude (m)")
diff --git a/examples/pet_display_track.py b/examples/00_tracking_manipulation/pet_display_track.py
similarity index 92%
rename from examples/pet_display_track.py
rename to examples/00_tracking_manipulation/pet_display_track.py
index fe7975c5..cb8897e0 100644
--- a/examples/pet_display_track.py
+++ b/examples/00_tracking_manipulation/pet_display_track.py
@@ -24,11 +24,12 @@
 
 
 # Plot
-fig = plt.figure(figsize=(15, 8))
-ax = fig.add_subplot(111)
+fig = plt.figure(figsize=(12, 5))
+ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
 ax.set_aspect("equal")
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
 a.plot(ax, ref=-10, label="Anticyclonic", color="r", lw=0.1)
 c.plot(ax, ref=-10, label="Cyclonic", color="b", lw=0.1)
 ax.legend()
+ax.grid()
diff --git a/examples/pet_one_track.py b/examples/00_tracking_manipulation/pet_one_track.py
similarity index 83%
rename from examples/pet_one_track.py
rename to examples/00_tracking_manipulation/pet_one_track.py
index acd5b340..e371ea7d 100644
--- a/examples/pet_one_track.py
+++ b/examples/00_tracking_manipulation/pet_one_track.py
@@ -15,10 +15,11 @@
 eddy_f = a.extract_ids([9672])
 eddy_f.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
 eddy_f.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
-fig = plt.figure(figsize=(20, 8))
-ax = fig.add_subplot(111)
-ax.set_xlim(17, 22.5)
+fig = plt.figure(figsize=(12, 5))
+ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
+ax.set_xlim(17.5, 22)
 ax.set_ylim(35, 36.5)
+ax.set_aspect("equal")
 ax.grid()
 eddy.plot(ax, color="r", lw=0.5)
 eddy_f.plot(ax, color="g", lw=1)
diff --git a/examples/00_tracking_manipulation/pet_select_track_across_area.py b/examples/00_tracking_manipulation/pet_select_track_across_area.py
new file mode 100644
index 00000000..275f5467
--- /dev/null
+++ b/examples/00_tracking_manipulation/pet_select_track_across_area.py
@@ -0,0 +1,33 @@
+"""
+Tracks which go through area
+============================
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+c.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
+c.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
+x0, x1, y0, y1 = 3, 4, 37, 38
+area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
+c_subset = c.extract_with_area(area, full_path=True)
+fig = plt.figure(figsize=(12, 5))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_xlim(-1, 9)
+ax.set_ylim(36, 40)
+ax.set_aspect("equal")
+ax.grid()
+c.plot(ax, color="gray", lw=0.1, ref=-10, label="all tracks")
+c_subset.plot(ax, color="red", lw=0.2, ref=-10, label="selected tracks")
+ax.plot(
+    (x0, x0, x1, x1, x0,),
+    (y0, y1, y1, y0, y0,),
+    color="green",
+    lw=1.5,
+    label="Box of selection",
+)
+ax.legend()
diff --git a/examples/tracking_diagnostics/README.rst b/examples/10_tracking_diagnostics/README.rst
similarity index 100%
rename from examples/tracking_diagnostics/README.rst
rename to examples/10_tracking_diagnostics/README.rst
diff --git a/examples/tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
similarity index 80%
rename from examples/tracking_diagnostics/pet_center_count.py
rename to examples/10_tracking_diagnostics/pet_center_count.py
index d20723d0..b8a9f8f4 100644
--- a/examples/tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -21,11 +21,11 @@
 ax = fig.add_subplot(111)
 ax.set_xlim(-5, 37)
 ax.set_ylim(30, 46)
+ax.set_aspect("equal")
 step = 0.1
 t0, t1 = a.period
-g = a.grid_count(((-5, 37, step), (30, 46, step)), center=True)
-g.vars["count"] = g.vars["count"] / (step ** 2 * (t1 - t0))
-m = g.display(ax, name="count", vmin=0, vmax=2)
+g = a.grid_count(((-6, 37, step), (30, 46, step)), center=True)
+m = g.display(ax, name="count", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)))
 ax.grid()
 cb = plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))
 cb.set_label("Eddies by 1°^2 by day")
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
new file mode 100644
index 00000000..2d938530
--- /dev/null
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -0,0 +1,58 @@
+"""
+Geographical statistics
+=======================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+a = a.merge(c)
+
+fig = plt.figure(figsize=(15, 7))
+ax = fig.add_subplot(111)
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+ax.set_aspect("equal")
+step = 0.1
+g = a.grid_stat(((-5, 37, step), (30, 46, step)), "amplitude")
+m = g.display(ax, name="amplitude", vmin=0, vmax=0.2)
+ax.grid()
+cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
+cb.set_label("Amplitude (m)")
+ax.set_title("Amplitude mean by box of %s°" % step)
+
+fig = plt.figure(figsize=(15, 7))
+ax = fig.add_subplot(111)
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+ax.set_aspect("equal")
+step = 0.1
+g = a.grid_stat(((-5, 37, step), (30, 46, step)), "radius_s")
+m = g.display(ax, name="radius_s", vmin=10, vmax=50, factor=0.001)
+ax.grid()
+cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
+cb.set_label("Speed radius (km)")
+ax.set_title("Speed radius mean by box of %s°" % step)
+
+fig = plt.figure(figsize=(15, 7))
+ax = fig.add_subplot(111)
+ax.set_xlim(-5, 37)
+ax.set_ylim(30, 46)
+ax.set_aspect("equal")
+step = 0.1
+g = a.grid_stat(((-5, 37, step), (30, 46, step)), "virtual")
+g.vars["virtual"] *= 100
+m = g.display(ax, name="virtual", vmin=0, vmax=15)
+ax.grid()
+cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
+cb.set_label("Percent of virtual (%)")
+ax.set_title("Percent of virtual by box of %s°" % step)
diff --git a/examples/tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
similarity index 100%
rename from examples/tracking_diagnostics/pet_histo.py
rename to examples/10_tracking_diagnostics/pet_histo.py
diff --git a/examples/tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
similarity index 100%
rename from examples/tracking_diagnostics/pet_lifetime.py
rename to examples/10_tracking_diagnostics/pet_lifetime.py
diff --git a/examples/tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
similarity index 72%
rename from examples/tracking_diagnostics/pet_pixel_used.py
rename to examples/10_tracking_diagnostics/pet_pixel_used.py
index b01b9a9d..88f83e5a 100644
--- a/examples/tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -15,6 +15,7 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
+t0, t1 = a.period
 
 # Plot
 fig = plt.figure(figsize=(15, 20))
@@ -26,16 +27,13 @@
 ax_all.set_title("All eddies frequency")
 
 step = 0.1
+bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(cmap="terrain_r", vmin=0, vmax=0.75)
-g_a = a.grid_count(((-5, 37, step), (30, 46, step)), intern=True)
-t0, t1 = a.period
-g_a.vars["count"] = g_a.vars["count"] / (t1 - t0)
-m = g_a.display(ax_a, name="count", **kwargs_pcolormesh)
+g_a = a.grid_count(bins, intern=True)
+m = g_a.display(ax_a, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
 
-g_c = c.grid_count(((-5, 37, step), (30, 46, step)), intern=True)
-t0, t1 = c.period
-g_c.vars["count"] = g_c.vars["count"] / (t1 - t0)
-m = g_c.display(ax_c, name="count", **kwargs_pcolormesh)
+g_c = c.grid_count(bins, intern=True)
+m = g_c.display(ax_c, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
 
 m_c = g_c.vars["count"].mask
 m = m_c & g_a.vars["count"].mask
@@ -43,7 +41,7 @@
 g_c.vars["count"] += g_a.vars["count"]
 g_c.vars["count"].mask = m
 
-m = g_c.display(ax_all, name="count", **kwargs_pcolormesh)
+m = g_c.display(ax_all, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
 
 for ax in (ax_a, ax_c, ax_all):
     ax.set_aspect("equal")
diff --git a/examples/tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
similarity index 100%
rename from examples/tracking_diagnostics/pet_propagation.py
rename to examples/10_tracking_diagnostics/pet_propagation.py
diff --git a/examples/README.rst b/examples/README.rst
index 93e87841..72742a9b 100644
--- a/examples/README.rst
+++ b/examples/README.rst
@@ -1,2 +1,7 @@
 Py eddy tracker toolbox
 =======================
+
+All figures in this gallery, used an experimental dataset, compute with this dataset : cmems_product_.
+
+
+.. _cmems_product: https://resources.marine.copernicus.eu/?option=com_csw&task=results?option=com_csw&view=details&product_id=SEALEVEL_MED_PHY_L4_REP_OBSERVATIONS_008_051
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 4ba4e0f3..bd7431c2 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1767,10 +1767,12 @@ def init_speed_coef(self, uname="u", vname="v"):
         """
         self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
-    def display(self, ax, name, **kwargs):
+    def display(self, ax, name, factor=1, **kwargs):
         if "cmap" not in kwargs:
             kwargs["cmap"] = "coolwarm"
-        return ax.pcolormesh(self.x_bounds, self.y_bounds, self.grid(name).T, **kwargs)
+        return ax.pcolormesh(
+            self.x_bounds, self.y_bounds, self.grid(name).T * factor, **kwargs
+        )
 
     def interp(self, grid_name, lons, lats):
         """
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index aa6fdadb..fcdcec75 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1241,6 +1241,12 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
+    def scatter(self, ax, name, ref=None, ** kwargs):
+        x = self.longitude
+        if ref is not None:
+            x = (x - ref) % 360 + ref
+        return ax.scatter(x, self.latitude, c=self[name], **kwargs)
+
     def display(self, ax, ref=None, extern_only=False, **kwargs):
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
@@ -1264,8 +1270,8 @@ def display(self, ax, ref=None, extern_only=False, **kwargs):
 
     def grid_count(self, bins, intern=False, center=False):
         x_name, y_name = self.intern(intern)
-        x_bins = arange(*bins[0])
-        y_bins = arange(*bins[1])
+        x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
+        x0 = bins[0][0]
         grid = ma.zeros((x_bins.shape[0] - 1, y_bins.shape[0] - 1), dtype="u4")
         from ..dataset.grid import RegularGridDataset
 
@@ -1274,17 +1280,35 @@ def grid_count(self, bins, intern=False, center=False):
             datas=dict(count=grid, lon=x_bins[:-1], lat=y_bins[:-1],),
         )
         if center:
-            x, y = self.longitude, self.latitude
+            x, y = (self.longitude - x0) % 360 + x0, self.latitude
             grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
             grid.mask = grid.data == 0
         else:
-            x, y = self[x_name], self[y_name]
+            x, y = (self[x_name] - x0) % 360 + x0, self[y_name]
             for x_, y_ in zip(x, y):
                 i, j = BasePath(custom_concat(x_, y_)).pixels_in(regular_grid)
                 grid_count_(grid, i, j)
             grid.mask = grid == 0
         return regular_grid
 
+    def grid_stat(self, bins, varname):
+        x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
+        x0 = bins[0][0]
+        x, y = (self.longitude - x0) % 360 + x0, self.latitude
+        sum_obs = histogram2d(x, y, (x_bins, y_bins), weights=self[varname])[0]
+        nb_obs = histogram2d(x, y, (x_bins, y_bins))[0]
+        from ..dataset.grid import RegularGridDataset
+
+        regular_grid = RegularGridDataset.with_array(
+            coordinates=("x", "y"),
+            datas={
+                varname: ma.array(sum_obs / nb_obs, mask=nb_obs == 0),
+                "x": x_bins[:-1],
+                "y": y_bins[:-1],
+            },
+        )
+        return regular_grid
+
 
 @njit(cache=True)
 def grid_count_(grid, i, j):

From 85067e5079e4448ff8e808207a576c5f79be7f50 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 15 Jun 2020 23:14:37 +0200
Subject: [PATCH 020/441] add a function to filter position

---
 examples/06_grid_manipulation/README.rst      |   2 +
 .../pet_hide_pixel_out_eddies.py              |  44 ++++++++++++++++++
 .../README.rst                                |   0
 .../pet_display_field.py                      |   0
 .../pet_display_track.py                      |   7 +--
 .../pet_one_track.py                          |  18 +++++--
 .../pet_select_track_across_area.py           |   3 +-
 .../pet_propagation.py                        |   6 +--
 ..._global_allsat_phy_l4_20190223_20190226.nc | Bin
 .../observations/observation.py               |  15 +++---
 src/py_eddy_tracker/observations/tracking.py  |  10 +++-
 11 files changed, 83 insertions(+), 22 deletions(-)
 create mode 100644 examples/06_grid_manipulation/README.rst
 create mode 100644 examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
 rename examples/{00_tracking_manipulation => 08_tracking_manipulation}/README.rst (100%)
 rename examples/{00_tracking_manipulation => 08_tracking_manipulation}/pet_display_field.py (100%)
 rename examples/{00_tracking_manipulation => 08_tracking_manipulation}/pet_display_track.py (75%)
 rename examples/{00_tracking_manipulation => 08_tracking_manipulation}/pet_one_track.py (52%)
 rename examples/{00_tracking_manipulation => 08_tracking_manipulation}/pet_select_track_across_area.py (87%)
 rename {share => src/py_eddy_tracker/data}/nrt_global_allsat_phy_l4_20190223_20190226.nc (100%)

diff --git a/examples/06_grid_manipulation/README.rst b/examples/06_grid_manipulation/README.rst
new file mode 100644
index 00000000..16e64b89
--- /dev/null
+++ b/examples/06_grid_manipulation/README.rst
@@ -0,0 +1,2 @@
+Grid Manipulation
+=======================
diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
new file mode 100644
index 00000000..26026874
--- /dev/null
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -0,0 +1,44 @@
+"""
+Select pixel in eddies
+======================
+
+"""
+
+from matplotlib import pyplot as plt
+from matplotlib.path import Path
+from numpy import ones
+from py_eddy_tracker.observations.observation import EddiesObservations, custom_concat
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+g = RegularGridDataset(
+    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    "longitude",
+    "latitude",
+)
+
+# Plot
+fig = plt.figure(figsize=(12, 6))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_aspect("equal")
+ax.set_xlim(10, 70)
+ax.set_ylim(-50, -25)
+x_name, y_name = a.intern(False)
+adt = g.grid("adt")
+mask = ones(adt.shape, dtype='bool')
+for eddy in a:
+    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)
+    mask[i, j] = False
+adt.mask[:] += ~mask
+g.display(ax, "adt")
+a.display(ax, label="Anticyclonic", color="g", lw=1, extern_only=True)
+
+fig = plt.figure(figsize=(12, 6))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_aspect("equal")
+ax.set_xlim(10, 70)
+ax.set_ylim(-50, -25)
+adt.mask[:] = mask
+g.display(ax, "adt")
+a.display(ax, label="Anticyclonic", color="g", lw=1, extern_only=True)
diff --git a/examples/00_tracking_manipulation/README.rst b/examples/08_tracking_manipulation/README.rst
similarity index 100%
rename from examples/00_tracking_manipulation/README.rst
rename to examples/08_tracking_manipulation/README.rst
diff --git a/examples/00_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
similarity index 100%
rename from examples/00_tracking_manipulation/pet_display_field.py
rename to examples/08_tracking_manipulation/pet_display_field.py
diff --git a/examples/00_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
similarity index 75%
rename from examples/00_tracking_manipulation/pet_display_track.py
rename to examples/08_tracking_manipulation/pet_display_track.py
index cb8897e0..43537022 100644
--- a/examples/00_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -17,11 +17,8 @@
 
 a = a.extract_with_length((7 * 20, -1))
 c = c.extract_with_length((7 * 20, -1))
-a.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
-a.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
-c.median_filter(1, 'time', 'lon').loess_filter(5, 'time', 'lon')
-c.median_filter(1, 'time', 'lat').loess_filter(5, 'time', 'lat')
-
+a.position_filter(median_half_window=1, loess_half_window=5)
+c.position_filter(median_half_window=1, loess_half_window=5)
 
 # Plot
 fig = plt.figure(figsize=(12, 5))
diff --git a/examples/00_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
similarity index 52%
rename from examples/00_tracking_manipulation/pet_one_track.py
rename to examples/08_tracking_manipulation/pet_one_track.py
index e371ea7d..94b55a61 100644
--- a/examples/00_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -13,13 +13,23 @@
 
 eddy = a.extract_ids([9672])
 eddy_f = a.extract_ids([9672])
-eddy_f.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
-eddy_f.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
+eddy_f.position_filter(median_half_window=1, loess_half_window=5)
+
 fig = plt.figure(figsize=(12, 5))
-ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_xlim(17.5, 22)
 ax.set_ylim(35, 36.5)
 ax.set_aspect("equal")
 ax.grid()
 eddy.plot(ax, color="r", lw=0.5)
-eddy_f.plot(ax, color="g", lw=1)
+eddy_f.scatter(ax, "n", cmap="jet", s=80)
+
+fig = plt.figure(figsize=(12, 5))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_xlim(17, 23)
+ax.set_ylim(34.5, 37)
+ax.set_aspect("equal")
+ax.grid()
+eddy.plot(ax, color="r", lw=0.5, label='track')
+eddy.index(range(0, len(eddy), 40)).display(ax, intern_only=True, label='observations every 40')
+ax.legend()
diff --git a/examples/00_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
similarity index 87%
rename from examples/00_tracking_manipulation/pet_select_track_across_area.py
rename to examples/08_tracking_manipulation/pet_select_track_across_area.py
index 275f5467..793db3f3 100644
--- a/examples/00_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -10,8 +10,7 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-c.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
-c.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
+c.position_filter(median_half_window=1, loess_half_window=5)
 x0, x1, y0, y1 = 3, 4, 37, 38
 area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
 c_subset = c.extract_with_area(area, full_path=True)
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index dcc57f36..bd1f4570 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -34,10 +34,8 @@ def cum_distance_by_track(distance, track):
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
-a.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
-a.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
-c.median_filter(1, "time", "lon").loess_filter(5, "time", "lon")
-c.median_filter(1, "time", "lat").loess_filter(5, "time", "lat")
+a.position_filter(median_half_window=1, loess_half_window=5)
+c.position_filter(median_half_window=1, loess_half_window=5)
 
 d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
 d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
diff --git a/share/nrt_global_allsat_phy_l4_20190223_20190226.nc b/src/py_eddy_tracker/data/nrt_global_allsat_phy_l4_20190223_20190226.nc
similarity index 100%
rename from share/nrt_global_allsat_phy_l4_20190223_20190226.nc
rename to src/py_eddy_tracker/data/nrt_global_allsat_phy_l4_20190223_20190226.nc
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index fcdcec75..ab34ef38 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1247,26 +1247,29 @@ def scatter(self, ax, name, ref=None, ** kwargs):
             x = (x - ref) % 360 + ref
         return ax.scatter(x, self.latitude, c=self[name], **kwargs)
 
-    def display(self, ax, ref=None, extern_only=False, **kwargs):
+    def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
             lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
-        lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
-        lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
+        if not intern_only:
+            lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
+            lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
         if "label" in kwargs:
-            kwargs["label"] += " (%s eddies)" % len(self)
+            kwargs["label"] += " (%s observations)" % len(self)
         kwargs_e = kwargs.copy()
         if not extern_only:
             kwargs_e.pop("label", None)
         if ref is None:
             if not extern_only:
                 ax.plot(lon_s, lat_s, **kwargs)
-            ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
+            if not intern_only:
+                ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
         else:
             # FIXME : ref could split eddies
             if not extern_only:
                 ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
-            ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
+            if not intern_only:
+                ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
 
     def grid_count(self, bins, intern=False, center=False):
         x_name, y_name = self.intern(intern)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 67a389b4..4b13f0ec 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -295,6 +295,14 @@ def median_filter(self, half_window, xfield, yfield, inplace=True):
             self.obs[yfield] = result
             return self
 
+    def position_filter(self, median_half_window, loess_half_window):
+        self.median_filter(median_half_window, "time", "lon").loess_filter(
+            loess_half_window, "time", "lon"
+        )
+        self.median_filter(median_half_window, "time", "lat").loess_filter(
+            loess_half_window, "time", "lat"
+        )
+
     def __extract_with_mask(
         self,
         mask,
@@ -354,7 +362,7 @@ def __extract_with_mask(
                 new.obs["track"] = id_translate[new.obs["track"]]
         return new
 
-    def plot(self, ax, ref=None, ** kwargs):
+    def plot(self, ax, ref=None, **kwargs):
         if "label" in kwargs:
             kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
         x = self.longitude

From 972ff2a3e2b2d6607fd6f1c40779da117db11b3c Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 16 Jun 2020 10:30:32 +0200
Subject: [PATCH 021/441] add example

---
 examples/02_eddy_identification/README.rst    |   2 +
 .../pet_display_id.py                         |   0
 .../pet_eddy_detection.py                     |  78 ++++++++++++++++++
 .../dt_med_allsat_phy_l4_20160515_20190101.nc | Bin 0 -> 91639 bytes
 .../observations/observation.py               |   4 +-
 5 files changed, 82 insertions(+), 2 deletions(-)
 create mode 100644 examples/02_eddy_identification/README.rst
 rename examples/{ => 02_eddy_identification}/pet_display_id.py (100%)
 create mode 100644 examples/02_eddy_identification/pet_eddy_detection.py
 create mode 100644 src/py_eddy_tracker/data/dt_med_allsat_phy_l4_20160515_20190101.nc

diff --git a/examples/02_eddy_identification/README.rst b/examples/02_eddy_identification/README.rst
new file mode 100644
index 00000000..30d23e5b
--- /dev/null
+++ b/examples/02_eddy_identification/README.rst
@@ -0,0 +1,2 @@
+Eddy detection
+==============
diff --git a/examples/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
similarity index 100%
rename from examples/pet_display_id.py
rename to examples/02_eddy_identification/pet_display_id.py
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
new file mode 100644
index 00000000..daf05851
--- /dev/null
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -0,0 +1,78 @@
+"""
+Eddy detection
+==============
+
+Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
+
+"""
+from datetime import datetime
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+
+
+def start_axes(title):
+    fig = plt.figure(figsize=(12.5, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
+    ax.set_xlim(-5, 37)
+    ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+
+ax = start_axes("ADT(m)")
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+update_axes(ax, m)
+
+g.add_uv("adt")
+g.bessel_high_filter("adt", 500, order=2)
+
+ax = start_axes("ADT (m) filtered(500km, order 2)")
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+update_axes(ax, m)
+
+date = datetime(2016, 5, 15)
+a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
+
+ax = start_axes("ADT closed contour (only 1 / 4 levels)")
+g.contours.display(ax, step=4)
+update_axes(ax)
+
+ax = start_axes("ADT contour used as eddies")
+g.contours.display(ax, only_used=True)
+update_axes(ax)
+
+ax = start_axes("ADT contour reject")
+g.contours.display(ax, only_unused=True)
+update_axes(ax)
+
+ax = start_axes("ADT contour reject but which contain eddies")
+g.contours.label_contour_unused_which_contain_eddies(a)
+g.contours.label_contour_unused_which_contain_eddies(c)
+g.contours.display(ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour")
+a.display(ax, color="b", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="r", linewidth=0.5, label="Cyclonic", ref=-10)
+ax.legend()
+update_axes(ax)
+
+ax = start_axes("Eddies detected")
+a.display(ax, color="b", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="r", linewidth=0.5, label="Cyclonic", ref=-10)
+ax.legend()
+update_axes(ax)
+
+ax = start_axes("Eddies speed radius (km)")
+a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap='jet', factor=0.001)
+m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap='jet', factor=0.001)
+update_axes(ax, m)
diff --git a/src/py_eddy_tracker/data/dt_med_allsat_phy_l4_20160515_20190101.nc b/src/py_eddy_tracker/data/dt_med_allsat_phy_l4_20160515_20190101.nc
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literal 0
HcmV?d00001

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ab34ef38..15443705 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1241,11 +1241,11 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
-    def scatter(self, ax, name, ref=None, ** kwargs):
+    def scatter(self, ax, name, ref=None, factor=1, ** kwargs):
         x = self.longitude
         if ref is not None:
             x = (x - ref) % 360 + ref
-        return ax.scatter(x, self.latitude, c=self[name], **kwargs)
+        return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         if not extern_only:

From 5584ee41eff5284db4612a1f0029add87a318bd1 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 16 Jun 2020 10:41:35 +0200
Subject: [PATCH 022/441] Update README.md

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 7acfcc91..36b48e32 100644
--- a/README.md
+++ b/README.md
@@ -29,10 +29,12 @@ Then run the following to install the eddy tracker:
 ```bash
 python setup.py install
 ```
+### Tools gallery ###
+Several examples based on py eddy tracker module are [here](https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html).
 
-Two executables are now available in your PATH: EddyIdentification and EddyTracking
+![](https://py-eddy-tracker.readthedocs.io/en/latest/_static/logo.png)
 
-Edit the corresponding yaml files and then run the code, e.g.:
+### Quick use ###
 
 ```bash
 EddyId share/nrt_global_allsat_phy_l4_20190223_20190226.nc 20190223 adt ugos vgos longitude latitude ./ -v INFO
@@ -44,6 +46,4 @@ for identification, followed by:
 EddyTracking tracking.yaml
 ```
 
-for tracking.
-
-
+for tracking (Edit the corresponding yaml files and then run the code).

From f8b97a8014a26a52234731b0a37327e43b9e04c8 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 16 Jun 2020 15:25:11 +0200
Subject: [PATCH 023/441] update example

---
 .../pet_eddy_detection.py                     | 36 +++++++++------
 .../pet_display_field.py                      |  3 +-
 .../pet_display_track.py                      |  3 +-
 .../pet_center_count.py                       |  9 ++--
 .../pet_geographic_stats.py                   | 46 ++++++++-----------
 .../10_tracking_diagnostics/pet_pixel_used.py | 11 ++---
 6 files changed, 54 insertions(+), 54 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index daf05851..e7e29103 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -4,6 +4,8 @@
 
 Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
 
+Figures will show different step to detect eddies.
+
 """
 from datetime import datetime
 from matplotlib import pyplot as plt
@@ -12,10 +14,9 @@
 
 
 def start_axes(title):
-    fig = plt.figure(figsize=(12.5, 5))
-    ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
-    ax.set_xlim(-5, 37)
-    ax.set_ylim(30, 46)
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.set_aspect("equal")
     ax.set_title(title)
     return ax
@@ -31,14 +32,21 @@ def update_axes(ax, mappable=None):
     data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 
-ax = start_axes("ADT(m)")
+ax = start_axes("ADT (m)")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
 g.add_uv("adt")
+ax = start_axes("U/V deduce from ADT (m)")
+ax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+u, v = g.grid("u").T, g.grid("v").T
+ax.quiver(g.x_c, g.y_c, u, v, scale=10)
+update_axes(ax, m)
+
 g.bessel_high_filter("adt", 500, order=2)
 
-ax = start_axes("ADT (m) filtered(500km, order 2)")
+ax = start_axes("ADT (m) filtered (500km, order 2)")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
@@ -60,19 +68,21 @@ def update_axes(ax, mappable=None):
 ax = start_axes("ADT contour reject but which contain eddies")
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
-g.contours.display(ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour")
-a.display(ax, color="b", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="r", linewidth=0.5, label="Cyclonic", ref=-10)
+g.contours.display(
+    ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour"
+)
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
 ax = start_axes("Eddies detected")
-a.display(ax, color="b", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="r", linewidth=0.5, label="Cyclonic", ref=-10)
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
 ax = start_axes("Eddies speed radius (km)")
-a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap='jet', factor=0.001)
-m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap='jet', factor=0.001)
+a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
+m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
 update_axes(ax, m)
diff --git a/examples/08_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
index d47e082c..de8a844c 100644
--- a/examples/08_tracking_manipulation/pet_display_field.py
+++ b/examples/08_tracking_manipulation/pet_display_field.py
@@ -18,8 +18,7 @@
 fig = plt.figure(figsize=(12, 6))
 ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
 ax.set_aspect("equal")
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
+ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
 m = c.scatter(ax, "amplitude", ref=-10, vmin=0, vmax=0.1)
 ax.grid()
 
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index 43537022..f7fdb014 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -24,8 +24,7 @@
 fig = plt.figure(figsize=(12, 5))
 ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
 ax.set_aspect("equal")
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
+ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
 a.plot(ax, ref=-10, label="Anticyclonic", color="r", lw=0.1)
 c.plot(ax, ref=-10, label="Cyclonic", color="b", lw=0.1)
 ax.legend()
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index b8a9f8f4..02979966 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -17,14 +17,13 @@
 )
 a = a.merge(c)
 # Plot
-fig = plt.figure(figsize=(20, 8))
-ax = fig.add_subplot(111)
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
+fig = plt.figure(figsize=(13.5, 5))
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
 ax.set_aspect("equal")
 step = 0.1
 t0, t1 = a.period
-g = a.grid_count(((-6, 37, step), (30, 46, step)), center=True)
+g = a.grid_count(((-7, 37, step), (30, 46, step)), center=True)
 m = g.display(ax, name="count", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)))
 ax.grid()
 cb = plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
index 2d938530..9ba26bc7 100644
--- a/examples/10_tracking_diagnostics/pet_geographic_stats.py
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -9,6 +9,15 @@
 import py_eddy_tracker_sample
 
 
+def start_axes(title):
+    fig = plt.figure(figsize=(13.5, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -17,42 +26,27 @@
 )
 a = a.merge(c)
 
-fig = plt.figure(figsize=(15, 7))
-ax = fig.add_subplot(111)
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
-ax.set_aspect("equal")
 step = 0.1
+ax = start_axes("Amplitude mean by box of %s°" % step)
 g = a.grid_stat(((-5, 37, step), (30, 46, step)), "amplitude")
-m = g.display(ax, name="amplitude", vmin=0, vmax=0.2)
+m = g.display(ax, name="amplitude", vmin=0, vmax=10, factor=100)
 ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
-cb.set_label("Amplitude (m)")
-ax.set_title("Amplitude mean by box of %s°" % step)
-
-fig = plt.figure(figsize=(15, 7))
-ax = fig.add_subplot(111)
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
-ax.set_aspect("equal")
+cb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+cb.set_label("Amplitude (cm)")
+
+ax = start_axes("Speed radius mean by box of %s°" % step)
 step = 0.1
-g = a.grid_stat(((-5, 37, step), (30, 46, step)), "radius_s")
+g = a.grid_stat(((-7, 37, step), (30, 46, step)), "radius_s")
 m = g.display(ax, name="radius_s", vmin=10, vmax=50, factor=0.001)
 ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
+cb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 cb.set_label("Speed radius (km)")
-ax.set_title("Speed radius mean by box of %s°" % step)
 
-fig = plt.figure(figsize=(15, 7))
-ax = fig.add_subplot(111)
-ax.set_xlim(-5, 37)
-ax.set_ylim(30, 46)
-ax.set_aspect("equal")
+ax = start_axes("Percent of virtual by box of %s°" % step)
 step = 0.1
-g = a.grid_stat(((-5, 37, step), (30, 46, step)), "virtual")
+g = a.grid_stat(((-7, 37, step), (30, 46, step)), "virtual")
 g.vars["virtual"] *= 100
 m = g.display(ax, name="virtual", vmin=0, vmax=15)
 ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.92, 0.05, 0.01, 0.9]))
+cb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 cb.set_label("Percent of virtual (%)")
-ax.set_title("Percent of virtual by box of %s°" % step)
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 88f83e5a..39e81399 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -18,12 +18,12 @@
 t0, t1 = a.period
 
 # Plot
-fig = plt.figure(figsize=(15, 20))
-ax_a = fig.add_subplot(311)
+fig = plt.figure(figsize=(12, 14))
+ax_a = fig.add_axes([0.03, 0.66, 0.90, 0.33])
 ax_a.set_title("Anticyclonic frequency")
-ax_c = fig.add_subplot(312)
+ax_c = fig.add_axes([0.03, 0.33, 0.90, 0.33])
 ax_c.set_title("Cyclonic frequency")
-ax_all = fig.add_subplot(313)
+ax_all = fig.add_axes([0.03, 0, 0.90, 0.33])
 ax_all.set_title("All eddies frequency")
 
 step = 0.1
@@ -45,8 +45,7 @@
 
 for ax in (ax_a, ax_c, ax_all):
     ax.set_aspect("equal")
-    ax.set_xlim(-5, 37)
-    ax.set_ylim(30, 46)
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.grid()
 
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))

From fa80acc663a630e0ba18e0507b2a31ed9be3accf Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 16 Jun 2020 22:41:53 +0200
Subject: [PATCH 024/441] update example

---
 .../pet_center_count.py                       | 54 +++++++++++----
 examples/10_tracking_diagnostics/pet_histo.py | 65 +++++++++++--------
 .../10_tracking_diagnostics/pet_pixel_used.py | 33 ++++++----
 3 files changed, 101 insertions(+), 51 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 02979966..46920f90 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -3,8 +3,8 @@
 ======================
 
 """
-
 from matplotlib import pyplot as plt
+from matplotlib.colors import LogNorm
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
@@ -15,16 +15,48 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-a = a.merge(c)
+
+t0, t1 = a.period
+
 # Plot
-fig = plt.figure(figsize=(13.5, 5))
-ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
-ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
-ax.set_aspect("equal")
+fig = plt.figure(figsize=(12, 18.5))
+ax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])
+ax_a.set_title("Anticyclonic frequency")
+ax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])
+ax_c.set_title("Cyclonic frequency")
+ax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])
+ax_all.set_title("All eddies frequency")
+ax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])
+ax_ratio.set_title("Ratio cyclonic / Anticyclonic")
+
 step = 0.1
-t0, t1 = a.period
-g = a.grid_count(((-7, 37, step), (30, 46, step)), center=True)
-m = g.display(ax, name="count", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)))
-ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))
+bins = ((-10, 37, step), (30, 46, step))
+kwargs_pcolormesh = dict(
+    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name="count"
+)
+g_a = a.grid_count(bins, intern=True, center=True)
+m = g_a.display(ax_a, **kwargs_pcolormesh)
+
+g_c = c.grid_count(bins, intern=True, center=True)
+m = g_c.display(ax_c, **kwargs_pcolormesh)
+
+ratio = g_c.vars["count"] / g_a.vars["count"]
+
+m_c = g_c.vars["count"].mask
+m = m_c & g_a.vars["count"].mask
+g_c.vars["count"][m_c] = 0
+g_c.vars["count"] += g_a.vars["count"]
+g_c.vars["count"].mask = m
+
+m = g_c.display(ax_all, **kwargs_pcolormesh)
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))
 cb.set_label("Eddies by 1°^2 by day")
+
+g_c.vars["count"] = ratio
+m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm())
+plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))
+
+for ax in (ax_a, ax_c, ax_all, ax_ratio):
+    ax.set_aspect("equal")
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.grid()
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index 96958560..e5fdce9a 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -14,36 +14,45 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-kwargs_a = dict(label="Anticyclonic", color="r")
-kwargs_c = dict(label="Cyclonic", color="b")
+kwargs_a = dict(label="Anticyclonic", color="r", histtype="step", density=True)
+kwargs_c = dict(label="Cyclonic", color="b", histtype="step", density=True)
 
 # Plot
-fig = plt.figure()
-ax = fig.add_subplot(111)
-ax.hist(a["amplitude"], histtype="step", bins=arange(0.0005, 1, 0.002), **kwargs_a)
-ax.hist(c["amplitude"], histtype="step", bins=arange(0.0005, 1, 0.002), **kwargs_c)
-ax.set_xlabel("Amplitude (m)")
-ax.set_xlim(0, 0.5)
-ax.legend()
-ax.grid()
+fig = plt.figure(figsize=(12, 7))
 
-fig = plt.figure()
-ax = fig.add_subplot(111)
-bins = arange(0, 200, 1)
-ax.hist(a["radius_s"] / 1000.0, histtype="step", bins=bins, **kwargs_a)
-ax.hist(c["radius_s"] / 1000.0, histtype="step", bins=bins, **kwargs_c)
-ax.set_xlabel("Speed_radius (km)")
-ax.set_xlim(0, 150)
-ax.legend()
-ax.grid()
+for x0, name, title, xmax, factor, bins in zip(
+    (0.4, 0.72, 0.08),
+    ("radius_s", "speed_average", "amplitude"),
+    ("Speed radius (km)", "Speed average (cm/s)", "Amplitude (cm)"),
+    (100, 50, 20),
+    (0.001, 100, 100),
+    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),
+):
+    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))
+    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)
+    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)
+    ax_hist.set_xticklabels([])
+    ax_hist.set_xlim(0, xmax)
+    ax_hist.grid()
 
-fig = plt.figure()
-ax = fig.add_subplot(111)
-bins = arange(0, 100, 1)
-ax.hist(a["speed_average"] * 100.0, histtype="step", bins=bins, **kwargs_a)
-ax.hist(c["speed_average"] * 100.0, histtype="step", bins=bins, **kwargs_c)
-ax.set_xlabel("speed_average (cm/s)")
+    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))
+    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)
+    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)
+    ax_cum.set_xticklabels([])
+    ax_cum.set_title(title)
+    ax_cum.set_xlim(0, xmax)
+    ax_cum.set_ylim(0, 1)
+    ax_cum.grid()
 
-ax.set_xlim(0, 50)
-ax.legend()
-ax.grid()
+    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))
+    ax_ratio.set_xlim(0, xmax)
+    ax_ratio.set_ylim(0, 2)
+    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)
+    ax_ratio.axhline(1, color="k")
+    ax_ratio.grid()
+    ax_ratio.set_xlabel(title)
+
+ax_cum.set_ylabel("Cumulative\npercent distribution")
+ax_hist.set_ylabel("Percent of observations")
+ax_ratio.set_ylabel("Ratio percent\nCyc/Acyc")
+ax_cum.legend()
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 39e81399..2695b711 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -3,8 +3,8 @@
 ======================
 
 """
-
 from matplotlib import pyplot as plt
+from matplotlib.colors import LogNorm
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
@@ -18,22 +18,28 @@
 t0, t1 = a.period
 
 # Plot
-fig = plt.figure(figsize=(12, 14))
-ax_a = fig.add_axes([0.03, 0.66, 0.90, 0.33])
+fig = plt.figure(figsize=(12, 18.5))
+ax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])
 ax_a.set_title("Anticyclonic frequency")
-ax_c = fig.add_axes([0.03, 0.33, 0.90, 0.33])
+ax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])
 ax_c.set_title("Cyclonic frequency")
-ax_all = fig.add_axes([0.03, 0, 0.90, 0.33])
+ax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])
 ax_all.set_title("All eddies frequency")
+ax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])
+ax_ratio.set_title("Ratio cyclonic / Anticyclonic")
 
 step = 0.1
 bins = ((-10, 37, step), (30, 46, step))
-kwargs_pcolormesh = dict(cmap="terrain_r", vmin=0, vmax=0.75)
+kwargs_pcolormesh = dict(
+    cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name="count"
+)
 g_a = a.grid_count(bins, intern=True)
-m = g_a.display(ax_a, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
+m = g_a.display(ax_a, **kwargs_pcolormesh)
 
 g_c = c.grid_count(bins, intern=True)
-m = g_c.display(ax_c, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
+m = g_c.display(ax_c, **kwargs_pcolormesh)
+
+ratio = g_c.vars["count"] / g_a.vars["count"]
 
 m_c = g_c.vars["count"].mask
 m = m_c & g_a.vars["count"].mask
@@ -41,11 +47,14 @@
 g_c.vars["count"] += g_a.vars["count"]
 g_c.vars["count"].mask = m
 
-m = g_c.display(ax_all, name="count", factor=1 / (t1 - t0), **kwargs_pcolormesh)
+m = g_c.display(ax_all, **kwargs_pcolormesh)
+plt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))
 
-for ax in (ax_a, ax_c, ax_all):
+g_c.vars["count"] = ratio
+m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm())
+plt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))
+
+for ax in (ax_a, ax_c, ax_all, ax_ratio):
     ax.set_aspect("equal")
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.grid()
-
-plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9]))

From 09cb9489f386c0eb028ea7934f791763f2c3a295 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 16 Jun 2020 23:58:05 +0200
Subject: [PATCH 025/441] Add notebooks to git

---
 notebooks/README.md                           |  1 +
 .../pet_display_id.ipynb                      | 54 +++++++++++++++++++
 .../pet_eddy_detection.ipynb                  | 54 +++++++++++++++++++
 .../pet_hide_pixel_out_eddies.ipynb           | 54 +++++++++++++++++++
 .../pet_display_field.ipynb                   | 54 +++++++++++++++++++
 .../pet_display_track.ipynb                   | 54 +++++++++++++++++++
 .../pet_one_track.ipynb                       | 54 +++++++++++++++++++
 .../pet_select_track_across_area.ipynb        | 54 +++++++++++++++++++
 .../pet_center_count.ipynb                    | 54 +++++++++++++++++++
 .../pet_geographic_stats.ipynb                | 54 +++++++++++++++++++
 .../10_tracking_diagnostics/pet_histo.ipynb   | 54 +++++++++++++++++++
 .../pet_lifetime.ipynb                        | 54 +++++++++++++++++++
 .../pet_pixel_used.ipynb                      | 54 +++++++++++++++++++
 .../pet_propagation.ipynb                     | 54 +++++++++++++++++++
 14 files changed, 703 insertions(+)
 create mode 100644 notebooks/README.md
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
 create mode 100644 notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb

diff --git a/notebooks/README.md b/notebooks/README.md
new file mode 100644
index 00000000..ec984a5b
--- /dev/null
+++ b/notebooks/README.md
@@ -0,0 +1 @@
+rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
\ No newline at end of file
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
new file mode 100644
index 00000000..7627156b
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nDisplay identification\n======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))\n\n# Plot\nfig = plt.figure(figsize=(15, 8))\nax = fig.add_subplot(111)\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
new file mode 100644
index 00000000..106e74cb
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nEddy detection\n==============\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\n\n\ng = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)\n\ng.add_uv(\"adt\")\nax = start_axes(\"U/V deduce from ADT (m)\")\nax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10)\nupdate_axes(ax, m)\n\ng.bessel_high_filter(\"adt\", 500, order=2)\n\nax = start_axes(\"ADT (m) filtered (500km, order 2)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)\n\ndate = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)\n\nax = start_axes(\"ADT closed contour (only 1 / 4 levels)\")\ng.contours.display(ax, step=4)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)\n\nax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)\n\nax = start_axes(\"Eddies speed radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nupdate_axes(ax, m)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
new file mode 100644
index 00000000..19d6bc77
--- /dev/null
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nSelect pixel in eddies\n======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations, custom_concat\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\n# Plot\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)\n\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\nadt.mask[:] = mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
new file mode 100644
index 00000000..3f91236e
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nDisplay fields\n==============\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\nc = c.extract_with_length((180, -1))\n\n# Plot\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nm = c.scatter(ax, \"amplitude\", ref=-10, vmin=0, vmax=0.1)\nax.grid()\n\ncb = plt.colorbar(\n    m, cax=fig.add_axes([0.05, 0.07, 0.9, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"Amplitude (m)\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
new file mode 100644
index 00000000..faeac2e1
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nDisplay Tracks\n======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\na = a.extract_with_length((7 * 20, -1))\nc = c.extract_with_length((7 * 20, -1))\na.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)\n\n# Plot\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\na.plot(ax, ref=-10, label=\"Anticyclonic\", color=\"r\", lw=0.1)\nc.plot(ax, ref=-10, label=\"Cyclonic\", color=\"b\", lw=0.1)\nax.legend()\nax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
new file mode 100644
index 00000000..92285e9b
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nOne Track\n===================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)\n\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17.5, 22)\nax.set_ylim(35, 36.5)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5)\neddy_f.scatter(ax, \"n\", cmap=\"jet\", s=80)\n\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5, label='track')\neddy.index(range(0, len(eddy), 40)).display(ax, intern_only=True, label='observations every 40')\nax.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
new file mode 100644
index 00000000..0e5944e3
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nTracks which go through area\n============================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc.position_filter(median_half_window=1, loess_half_window=5)\nx0, x1, y0, y1 = 3, 4, 37, 38\narea = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)\nc_subset = c.extract_with_area(area, full_path=True)\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0,),\n    (y0, y1, y1, y0, y0,),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
new file mode 100644
index 00000000..3a9c682a
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nCount center\n======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\nt0, t1 = a.period\n\n# Plot\nfig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)\ng_a = a.grid_count(bins, intern=True, center=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\n\ng_c = c.grid_count(bins, intern=True, center=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
new file mode 100644
index 00000000..57e6b646
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nGeographical statistics\n=======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13.5, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1\nax = start_axes(\"Amplitude mean by box of %s\u00b0\" % step)\ng = a.grid_stat(((-5, 37, step), (30, 46, step)), \"amplitude\")\nm = g.display(ax, name=\"amplitude\", vmin=0, vmax=10, factor=100)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Amplitude (cm)\")\n\nax = start_axes(\"Speed radius mean by box of %s\u00b0\" % step)\nstep = 0.1\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"radius_s\")\nm = g.display(ax, name=\"radius_s\", vmin=10, vmax=50, factor=0.001)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Speed radius (km)\")\n\nax = start_axes(\"Percent of virtual by box of %s\u00b0\" % step)\nstep = 0.1\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"virtual\")\ng.vars[\"virtual\"] *= 100\nm = g.display(ax, name=\"virtual\", vmin=0, vmax=15)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Percent of virtual (%)\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
new file mode 100644
index 00000000..e0ba315b
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nParameter Histogram\n===================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)\n\n\n# Plot\nfig = plt.figure(figsize=(12, 7))\n\nfor x0, name, title, xmax, factor, bins in zip(\n    (0.4, 0.72, 0.08),\n    (\"radius_s\", \"speed_average\", \"amplitude\"),\n    (\"Speed radius (km)\", \"Speed average (cm/s)\", \"Amplitude (cm)\"),\n    (100, 50, 20),\n    (0.001, 100, 100),\n    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),\n):\n    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))\n    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)\n    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)\n    ax_hist.set_xticklabels([])\n    ax_hist.set_xlim(0, xmax)\n    ax_hist.grid()\n\n    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))\n    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)\n    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)\n    ax_cum.set_xticklabels([])\n    ax_cum.set_title(title)\n    ax_cum.set_xlim(0, xmax)\n    ax_cum.set_ylim(0, 1)\n    ax_cum.grid()\n\n    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))\n    ax_ratio.set_xlim(0, xmax)\n    ax_ratio.set_ylim(0, 2)\n    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)\n    ax_ratio.axhline(1, color=\"k\")\n    ax_ratio.grid()\n    ax_ratio.set_xlabel(title)\n\nax_cum.set_ylabel(\"Cumulative\\npercent distribution\")\nax_hist.set_ylabel(\"Percent of observations\")\nax_ratio.set_ylabel(\"Ratio percent\\nCyc/Acyc\")\nax_cum.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
new file mode 100644
index 00000000..34bf7f54
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nLifetime Histogram\n===================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Plot\nfig = plt.figure()\nax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\n\ncum_a, bins, _ = ax_cum_lifetime.hist(\n    a[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_lifetime.hist(\n    c[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_lifetime.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_lifetime.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_lifetime.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_lifetime.plot(x[1:], nb_c / nb_a)\n\n\nfor ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):\n    ax.set_xlim(0, 365)\n    if ax in (ax_lifetime, ax_cum_lifetime):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Lifetime (days)\")\n    ax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
new file mode 100644
index 00000000..9181f35c
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nCount pixel used\n======================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\n\n# Plot\nfig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)\ng_a = a.grid_count(bins, intern=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\n\ng_c = c.grid_count(bins, intern=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
new file mode 100644
index 00000000..72190b34
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -0,0 +1,54 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nPropagation Histogram\n===================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import distance\nimport py_eddy_tracker_sample\nfrom numpy import arange, empty\nfrom numba import njit\n\n\n@njit(cache=True)\ndef cum_distance_by_track(distance, track):\n    tr_previous = 0\n    d_cum = 0\n    new_distance = empty(track.shape, dtype=distance.dtype)\n    for i in range(distance.shape[0]):\n        tr = track[i]\n        if i != 0 and tr != tr_previous:\n            d_cum = 0\n        new_distance[i] = d_cum\n        d_cum += distance[i]\n        tr_previous = tr\n    new_distance[i + 1] = d_cum\n    return new_distance\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\na.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)\n\nd_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])\nd_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])\nd_a = cum_distance_by_track(d_a, a[\"track\"]) / 1000.0\nd_c = cum_distance_by_track(d_c, c[\"track\"]) / 1000.0\n\n# Plot\nfig = plt.figure()\nax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\n\nbins = arange(0, 1500, 10)\ncum_a, bins, _ = ax_cum_propagation.hist(\n    d_a, histtype=\"step\", bins=bins, label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_propagation.hist(\n    d_c, histtype=\"step\", bins=bins, label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_propagation.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_propagation.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_propagation.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_propagation.plot(x[1:], nb_c / nb_a)\n\n\nfor ax in (\n    ax_propagation,\n    ax_cum_propagation,\n    ax_ratio_cum_propagation,\n    ax_ratio_propagation,\n):\n    ax.set_xlim(0, 1000)\n    if ax in (ax_propagation, ax_cum_propagation):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Propagation (km)\")\n    ax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file

From 016c3c42388a5092b5e902f42dfb66ee9b43bc7f Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 17 Jun 2020 09:19:14 +0200
Subject: [PATCH 026/441] solve issue #9

---
 src/py_eddy_tracker/observations/observation.py | 3 ++-
 src/py_eddy_tracker/tracking.py                 | 6 +++---
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 15443705..66adaf3d 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -416,7 +416,8 @@ def zarr_dimension(filename):
 
     @classmethod
     def load_file(cls, filename, **kwargs):
-        if filename.endswith(".zarr"):
+        end = b".zarr" if isinstance(filename, bytes) else ".zarr"
+        if filename.endswith(end):
             return cls.load_from_zarr(filename, **kwargs)
         else:
             return cls.load_from_netcdf(filename, **kwargs)
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index a28e1eba..65df89bc 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -142,9 +142,9 @@ def period(self):
 
         """
         date_start = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_from_netcdf(self.datasets[0]).obs['time'][0]))
+            int(self.class_method.load_file(self.datasets[0]).obs['time'][0]))
         date_stop = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_from_netcdf(self.datasets[-1]).obs['time'][0]))
+            int(self.class_method.load_file(self.datasets[-1]).obs['time'][0]))
         return date_start, date_stop
 
     def swap_dataset(self, dataset, raw_data=False):
@@ -652,7 +652,7 @@ def get_unused_data(self, raw_data=False):
         j = 0
         for i, dataset in enumerate(self.datasets):
             logger.debug('Loaf file : (%d) %s', i, dataset)
-            current_obs = self.class_method.load_from_netcdf(dataset, raw_data=raw_data)
+            current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
             if i == 0:
                 eddies.sign_type = current_obs.sign_type
             unused_obs = current_obs.observations[list_mask[i]]

From eb2390293baabb2cb81e7498a91de9e33949a2cf Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 17 Jun 2020 09:31:17 +0200
Subject: [PATCH 027/441] active binder to try notebooks

---
 doc/conf.py      | 22 +++++++++++++++++-----
 requirements.txt |  4 +++-
 2 files changed, 20 insertions(+), 6 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index ad42fda0..4628551d 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -37,11 +37,23 @@
 ]
 
 sphinx_gallery_conf = {
-     'examples_dirs': '../examples',   # path to your example scripts
-     'gallery_dirs': 'python_module',
-     'capture_repr': ('_repr_html_'),
-     'line_numbers': False,
-     'filename_pattern': '/pet',
+    'examples_dirs': '../examples',   # path to your example scripts
+    'gallery_dirs': 'python_module',
+    'capture_repr': ('_repr_html_'),
+    'line_numbers': False,
+    'filename_pattern': '/pet',
+    'binder': {
+        # Required keys
+        'org': 'AntSimi',
+        'repo': 'py-eddy-tracker',
+        'branch': 'master',
+        'binderhub_url': 'https://mybinder.org',
+        'dependencies': ['../requirements.txt'],
+        # Optional keys
+        # 'filepath_prefix': '<prefix>' # A prefix to prepend to any filepaths in Binder links.
+        # 'notebooks_dir': '<notebooks-directory-name>' # Jupyter notebooks for Binder will be copied to this directory (relative to built documentation root).
+        # 'use_jupyter_lab': <bool> # Whether Binder links should start Jupyter Lab instead of the Jupyter Notebook interface.
+    }
 }
 
 # Add any paths that contain templates here, relative to this directory.
diff --git a/requirements.txt b/requirements.txt
index 64de1dc8..39fd6fa3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,4 +7,6 @@ pyyaml
 pyproj
 pint
 numba
-polygon3
\ No newline at end of file
+polygon3
+# for binder
+pyeddytrackersample
\ No newline at end of file

From 5a837906372d31c5be11a731d5e2bea19f33b2fc Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 17 Jun 2020 15:45:43 +0200
Subject: [PATCH 028/441] Add pargraph in example and use jupyterlab instead
 jupyter

---
 README.md                                     |   2 +-
 doc/conf.py                                   |   4 +-
 doc/index.rst                                 |   7 -
 doc/observation_manipulation.rst              |  12 --
 .../02_eddy_identification/pet_display_id.py  |   3 +
 .../pet_eddy_detection.py                     |  23 ++-
 .../pet_hide_pixel_out_eddies.py              |  11 +-
 .../pet_display_field.py                      |   6 +-
 .../pet_display_track.py                      |   7 +-
 .../08_tracking_manipulation/pet_one_track.py |  13 +-
 .../pet_select_track_across_area.py           |   8 +
 .../pet_center_count.py                       |  29 +--
 .../pet_geographic_stats.py                   |  13 +-
 examples/10_tracking_diagnostics/pet_histo.py |   3 +
 .../10_tracking_diagnostics/pet_lifetime.py   |   5 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |  19 +-
 .../pet_propagation.py                        |  12 +-
 notebooks/README.md                           |   1 +
 .../pet_display_id.ipynb                      |  38 +++-
 .../pet_eddy_detection.ipynb                  | 193 +++++++++++++++++-
 .../pet_hide_pixel_out_eddies.ipynb           |  67 +++++-
 .../pet_display_field.ipynb                   |  38 +++-
 .../pet_display_track.ipynb                   |  56 ++++-
 .../pet_one_track.ipynb                       |  49 ++++-
 .../pet_select_track_across_area.ipynb        |  56 ++++-
 .../pet_center_count.ipynb                    |  38 +++-
 .../pet_geographic_stats.ipynb                |  74 ++++++-
 .../10_tracking_diagnostics/pet_histo.ipynb   |  38 +++-
 .../pet_lifetime.ipynb                        |  38 +++-
 .../pet_pixel_used.ipynb                      |  38 +++-
 .../pet_propagation.ipynb                     |  92 ++++++++-
 requirements.txt                              |  11 +-
 requirements_doc.txt                          |  12 ++
 setup.py                                      |  14 +-
 34 files changed, 943 insertions(+), 87 deletions(-)
 delete mode 100644 doc/observation_manipulation.rst

diff --git a/README.md b/README.md
index 36b48e32..9b0260c2 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=latest)](https://py-eddy-tracker.readthedocs.io/en/latest/?badge=latest)
+[![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=latest)](https://py-eddy-tracker.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
 
 # README #
 
diff --git a/doc/conf.py b/doc/conf.py
index 4628551d..07cc1db8 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -50,9 +50,7 @@
         'binderhub_url': 'https://mybinder.org',
         'dependencies': ['../requirements.txt'],
         # Optional keys
-        # 'filepath_prefix': '<prefix>' # A prefix to prepend to any filepaths in Binder links.
-        # 'notebooks_dir': '<notebooks-directory-name>' # Jupyter notebooks for Binder will be copied to this directory (relative to built documentation root).
-        # 'use_jupyter_lab': <bool> # Whether Binder links should start Jupyter Lab instead of the Jupyter Notebook interface.
+        'use_jupyter_lab': True
     }
 }
 
diff --git a/doc/index.rst b/doc/index.rst
index 5e3526a8..4e6cfa46 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -27,7 +27,6 @@ Welcome to py-eddy-tracker's documentation!
    grid_load_display
    spectrum
 
-
 .. toctree::
    :maxdepth: 2
    :caption: Tracking
@@ -35,12 +34,6 @@ Welcome to py-eddy-tracker's documentation!
    run_tracking
    custom_tracking
 
-.. toctree::
-   :maxdepth: 2
-   :caption: Work with eddies
-
-   observation_manipulation
-
 .. toctree::
    :maxdepth: 2
    :caption: code
diff --git a/doc/observation_manipulation.rst b/doc/observation_manipulation.rst
deleted file mode 100644
index 896d0673..00000000
--- a/doc/observation_manipulation.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-===================================================
-How manipulate tracking/identification observations
-===================================================
-
-Eddies subsetting
-*****************
-
-EddySubSetter will allow to select eddies on an atlas or on simple identification file.
-
-'''bash
-'--period' options will allow to sel
-'''
\ No newline at end of file
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index 0cda936f..ed1dadcb 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -8,9 +8,12 @@
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker import data
 
+# %%
+# Load detection files
 a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
+# %%
 # Plot
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_subplot(111)
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index e7e29103..cdc25e13 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -12,7 +12,7 @@
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
 
-
+# %%
 def start_axes(title):
     fig = plt.figure(figsize=(13, 5))
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
@@ -28,6 +28,8 @@ def update_axes(ax, mappable=None):
         plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
 
 
+# %%
+# Load Input grid, ADT will be used to detect eddies
 g = RegularGridDataset(
     data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
@@ -36,6 +38,8 @@ def update_axes(ax, mappable=None):
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
+# %%
+# U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2°)
 g.add_uv("adt")
 ax = start_axes("U/V deduce from ADT (m)")
 ax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)
@@ -44,27 +48,38 @@ def update_axes(ax, mappable=None):
 ax.quiver(g.x_c, g.y_c, u, v, scale=10)
 update_axes(ax, m)
 
+# %%
+# Apply high filter to remove long scale to highlight mesoscale
 g.bessel_high_filter("adt", 500, order=2)
-
 ax = start_axes("ADT (m) filtered (500km, order 2)")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
+# %%
+#  Run identification with slice of 2 mm
 date = datetime(2016, 5, 15)
 a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
 
+# %%
+# All closed contour found in this input grid (Display only 1 contour every 4)
 ax = start_axes("ADT closed contour (only 1 / 4 levels)")
 g.contours.display(ax, step=4)
 update_axes(ax)
 
+# %%
+# Contours include in eddies
 ax = start_axes("ADT contour used as eddies")
 g.contours.display(ax, only_used=True)
 update_axes(ax)
 
+# %%
+# Contours reject from several origin (shape error to high, several extremum in contour, ...)
 ax = start_axes("ADT contour reject")
 g.contours.display(ax, only_unused=True)
 update_axes(ax)
 
+# %%
+# Contours closed which contains several eddies
 ax = start_axes("ADT contour reject but which contain eddies")
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
@@ -76,12 +91,16 @@ def update_axes(ax, mappable=None):
 ax.legend()
 update_axes(ax)
 
+# %%
+# Display detected eddies
 ax = start_axes("Eddies detected")
 a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
+# %%
+# Display speed radius of eddies detected
 ax = start_axes("Eddies speed radius (km)")
 a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
 m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
index 26026874..439bfad3 100644
--- a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -11,19 +11,26 @@
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
 
+# %%
+# Load an eddy file which contains contours
 a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+
+# %%
+# Load a grid where we want found pixels in eddies or out
 g = RegularGridDataset(
     data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
     "longitude",
     "latitude",
 )
 
-# Plot
+# %%
+# For each contours, we will get pixels indice in contour.
 fig = plt.figure(figsize=(12, 6))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_aspect("equal")
 ax.set_xlim(10, 70)
 ax.set_ylim(-50, -25)
+# We will used the outter contour
 x_name, y_name = a.intern(False)
 adt = g.grid("adt")
 mask = ones(adt.shape, dtype='bool')
@@ -33,7 +40,7 @@
 adt.mask[:] += ~mask
 g.display(ax, "adt")
 a.display(ax, label="Anticyclonic", color="g", lw=1, extern_only=True)
-
+# %%
 fig = plt.figure(figsize=(12, 6))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_aspect("equal")
diff --git a/examples/08_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
index de8a844c..c21c25f4 100644
--- a/examples/08_tracking_manipulation/pet_display_field.py
+++ b/examples/08_tracking_manipulation/pet_display_field.py
@@ -8,13 +8,15 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
+# %%
+# Load an experimental cyclonic atlas, we keep only eddies which are follow more than 180 days
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-
 c = c.extract_with_length((180, -1))
 
-# Plot
+# %%
+# Plot amplitude field
 fig = plt.figure(figsize=(12, 6))
 ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
 ax.set_aspect("equal")
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index f7fdb014..ef74218a 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -8,18 +8,23 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
+# %%
+# Load experimental atlas, and keep only eddies longer than 20 weeks
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-
 a = a.extract_with_length((7 * 20, -1))
 c = c.extract_with_length((7 * 20, -1))
+
+# %%
+# Position filtering for nice display
 a.position_filter(median_half_window=1, loess_half_window=5)
 c.position_filter(median_half_window=1, loess_half_window=5)
 
+# %%
 # Plot
 fig = plt.figure(figsize=(12, 5))
 ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
diff --git a/examples/08_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
index 94b55a61..86097483 100644
--- a/examples/08_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -1,20 +1,22 @@
 """
 One Track
 ===================
-
 """
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
+# %%
+# Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
-
 eddy = a.extract_ids([9672])
 eddy_f = a.extract_ids([9672])
 eddy_f.position_filter(median_half_window=1, loess_half_window=5)
 
+# %%
+# plot
 fig = plt.figure(figsize=(12, 5))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_xlim(17.5, 22)
@@ -24,12 +26,15 @@
 eddy.plot(ax, color="r", lw=0.5)
 eddy_f.scatter(ax, "n", cmap="jet", s=80)
 
+# %%
 fig = plt.figure(figsize=(12, 5))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_xlim(17, 23)
 ax.set_ylim(34.5, 37)
 ax.set_aspect("equal")
 ax.grid()
-eddy.plot(ax, color="r", lw=0.5, label='track')
-eddy.index(range(0, len(eddy), 40)).display(ax, intern_only=True, label='observations every 40')
+eddy.plot(ax, color="r", lw=0.5, label="track")
+eddy.index(range(0, len(eddy), 40)).display(
+    ax, intern_only=True, label="observations every 40"
+)
 ax.legend()
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index 793db3f3..ca3c3c72 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -7,13 +7,21 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
+# %%
+# Load experimental atlas, we filter position to have nice display
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 c.position_filter(median_half_window=1, loess_half_window=5)
+
+# %%
+# We extract eddies in the area set below, but we ask to keep `full_path`
 x0, x1, y0, y1 = 3, 4, 37, 38
 area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
 c_subset = c.extract_with_area(area, full_path=True)
+
+# %%
+# Plot
 fig = plt.figure(figsize=(12, 5))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_xlim(-1, 9)
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 46920f90..fdfa3f1f 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -8,7 +8,8 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
-
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -16,32 +17,36 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
+# Parameters
 t0, t1 = a.period
+step = 0.1
+bins = ((-10, 37, step), (30, 46, step))
+kwargs_pcolormesh = dict(
+    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name="count"
+)
+
 
-# Plot
+# %%
+# Plot 
 fig = plt.figure(figsize=(12, 18.5))
 ax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])
-ax_a.set_title("Anticyclonic frequency")
+ax_a.set_title("Anticyclonic center frequency")
 ax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])
-ax_c.set_title("Cyclonic frequency")
+ax_c.set_title("Cyclonic center frequency")
 ax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])
-ax_all.set_title("All eddies frequency")
+ax_all.set_title("All eddies center frequency")
 ax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])
 ax_ratio.set_title("Ratio cyclonic / Anticyclonic")
 
-step = 0.1
-bins = ((-10, 37, step), (30, 46, step))
-kwargs_pcolormesh = dict(
-    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name="count"
-)
+# Count pixel used for each center
 g_a = a.grid_count(bins, intern=True, center=True)
 m = g_a.display(ax_a, **kwargs_pcolormesh)
-
 g_c = c.grid_count(bins, intern=True, center=True)
 m = g_c.display(ax_c, **kwargs_pcolormesh)
-
+# Compute a ratio Cyclonic / Anticyclonic
 ratio = g_c.vars["count"] / g_a.vars["count"]
 
+# Mask manipulation to be able to sum the 2 grids
 m_c = g_c.vars["count"].mask
 m = m_c & g_a.vars["count"].mask
 g_c.vars["count"][m_c] = 0
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
index 9ba26bc7..d7b79a43 100644
--- a/examples/10_tracking_diagnostics/pet_geographic_stats.py
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -18,6 +18,8 @@ def start_axes(title):
     return ax
 
 
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019), we merge the 2 datasets
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -27,23 +29,28 @@ def start_axes(title):
 a = a.merge(c)
 
 step = 0.1
+
+# %%
+# Mean of amplitude in each box
 ax = start_axes("Amplitude mean by box of %s°" % step)
-g = a.grid_stat(((-5, 37, step), (30, 46, step)), "amplitude")
+g = a.grid_stat(((-7, 37, step), (30, 46, step)), "amplitude")
 m = g.display(ax, name="amplitude", vmin=0, vmax=10, factor=100)
 ax.grid()
 cb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 cb.set_label("Amplitude (cm)")
 
+# %%
+# Mean of speed radius in each box
 ax = start_axes("Speed radius mean by box of %s°" % step)
-step = 0.1
 g = a.grid_stat(((-7, 37, step), (30, 46, step)), "radius_s")
 m = g.display(ax, name="radius_s", vmin=10, vmax=50, factor=0.001)
 ax.grid()
 cb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 cb.set_label("Speed radius (km)")
 
+# %%
+# Percent of virtual on the whole obs in each box
 ax = start_axes("Percent of virtual by box of %s°" % step)
-step = 0.1
 g = a.grid_stat(((-7, 37, step), (30, 46, step)), "virtual")
 g.vars["virtual"] *= 100
 m = g.display(ax, name="virtual", vmin=0, vmax=15)
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index e5fdce9a..68050016 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -8,6 +8,8 @@
 import py_eddy_tracker_sample
 from numpy import arange
 
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -17,6 +19,7 @@
 kwargs_a = dict(label="Anticyclonic", color="r", histtype="step", density=True)
 kwargs_c = dict(label="Cyclonic", color="b", histtype="step", density=True)
 
+# %%
 # Plot
 fig = plt.figure(figsize=(12, 7))
 
diff --git a/examples/10_tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
index d91001de..7f2a22c9 100644
--- a/examples/10_tracking_diagnostics/pet_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_lifetime.py
@@ -8,6 +8,8 @@
 import py_eddy_tracker_sample
 from numpy import arange
 
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -15,6 +17,7 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
+# %%
 # Plot
 fig = plt.figure()
 ax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])
@@ -22,7 +25,6 @@
 ax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])
 ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])
 
-
 cum_a, bins, _ = ax_cum_lifetime.hist(
     a["n"], histtype="step", bins=arange(0, 800, 1), label="Anticyclonic", color="r"
 )
@@ -39,7 +41,6 @@
 
 ax_ratio_lifetime.plot(x[1:], nb_c / nb_a)
 
-
 for ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):
     ax.set_xlim(0, 365)
     if ax in (ax_lifetime, ax_cum_lifetime):
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 2695b711..b5a49d13 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -8,7 +8,8 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
 
-
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -16,7 +17,13 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 t0, t1 = a.period
+step = 0.1
+bins = ((-10, 37, step), (30, 46, step))
+kwargs_pcolormesh = dict(
+    cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name="count"
+)
 
+# %%
 # Plot
 fig = plt.figure(figsize=(12, 18.5))
 ax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])
@@ -28,19 +35,15 @@
 ax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])
 ax_ratio.set_title("Ratio cyclonic / Anticyclonic")
 
-step = 0.1
-bins = ((-10, 37, step), (30, 46, step))
-kwargs_pcolormesh = dict(
-    cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name="count"
-)
+# Count pixel used for each contour
 g_a = a.grid_count(bins, intern=True)
 m = g_a.display(ax_a, **kwargs_pcolormesh)
-
 g_c = c.grid_count(bins, intern=True)
 m = g_c.display(ax_c, **kwargs_pcolormesh)
-
+# Compute a ratio Cyclonic / Anticyclonic
 ratio = g_c.vars["count"] / g_a.vars["count"]
 
+# Mask manipulation to be able to sum the 2 grids
 m_c = g_c.vars["count"].mask
 m = m_c & g_a.vars["count"].mask
 g_c.vars["count"][m_c] = 0
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index bd1f4570..cdee44bf 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -10,7 +10,8 @@
 from numpy import arange, empty
 from numba import njit
 
-
+# %%
+# We will create a function compile with numba, to compute a field which contains curvilign distance
 @njit(cache=True)
 def cum_distance_by_track(distance, track):
     tr_previous = 0
@@ -27,6 +28,8 @@ def cum_distance_by_track(distance, track):
     return new_distance
 
 
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
@@ -34,14 +37,19 @@ def cum_distance_by_track(distance, track):
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
+# %%
+# Filtering position to remove noisy position
 a.position_filter(median_half_window=1, loess_half_window=5)
 c.position_filter(median_half_window=1, loess_half_window=5)
 
+# %%
+# Compute curvilign distance
 d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
 d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
 d_a = cum_distance_by_track(d_a, a["track"]) / 1000.0
 d_c = cum_distance_by_track(d_c, c["track"]) / 1000.0
 
+# %%
 # Plot
 fig = plt.figure()
 ax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])
@@ -49,7 +57,6 @@ def cum_distance_by_track(distance, track):
 ax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])
 ax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])
 
-
 bins = arange(0, 1500, 10)
 cum_a, bins, _ = ax_cum_propagation.hist(
     d_a, histtype="step", bins=bins, label="Anticyclonic", color="r"
@@ -67,7 +74,6 @@ def cum_distance_by_track(distance, track):
 
 ax_ratio_propagation.plot(x[1:], nb_c / nb_a)
 
-
 for ax in (
     ax_propagation,
     ax_cum_propagation,
diff --git a/notebooks/README.md b/notebooks/README.md
index ec984a5b..0e481b17 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1 +1,2 @@
+python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
\ No newline at end of file
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 7627156b..57ca57d2 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))\n\n# Plot\nfig = plt.figure(figsize=(15, 8))\nax = fig.add_subplot(111)\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_subplot(111)\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 106e74cb..ff1304f8 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -26,7 +26,198 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\n\n\ng = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)\n\ng.add_uv(\"adt\")\nax = start_axes(\"U/V deduce from ADT (m)\")\nax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10)\nupdate_axes(ax, m)\n\ng.bessel_high_filter(\"adt\", 500, order=2)\n\nax = start_axes(\"ADT (m) filtered (500km, order 2)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)\n\ndate = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)\n\nax = start_axes(\"ADT closed contour (only 1 / 4 levels)\")\ng.contours.display(ax, step=4)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)\n\nax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)\n\nax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)\n\nax = start_axes(\"Eddies speed radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nupdate_axes(ax, m)"
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT will be used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g.add_uv(\"adt\")\nax = start_axes(\"U/V deduce from ADT (m)\")\nax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Apply high filter to remove long scale to highlight mesoscale\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g.bessel_high_filter(\"adt\", 500, order=2)\nax = start_axes(\"ADT (m) filtered (500km, order 2)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Run identification with slice of 2 mm\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "All closed contour found in this input grid (Display only 1 contour every 4)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT closed contour (only 1 / 4 levels)\")\ng.contours.display(ax, step=4)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours include in eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours closed which contains several eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display detected eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display speed radius of eddies detected\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies speed radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index 19d6bc77..20bcb959 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -26,7 +26,72 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations, custom_concat\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\n# Plot\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)\n\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\nadt.mask[:] = mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations, custom_concat\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an eddy file which contains contours\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load a grid where we want found pixels in eddies or out\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "For each contours, we will get pixels indice in contour.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\n# We will used the outter contour\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\nadt.mask[:] = mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
index 3f91236e..f260e137 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\nc = c.extract_with_length((180, -1))\n\n# Plot\nfig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nm = c.scatter(ax, \"amplitude\", ref=-10, vmin=0, vmax=0.1)\nax.grid()\n\ncb = plt.colorbar(\n    m, cax=fig.add_axes([0.05, 0.07, 0.9, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"Amplitude (m)\")"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental cyclonic atlas, we keep only eddies which are follow more than 180 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc = c.extract_with_length((180, -1))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot amplitude field\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nm = c.scatter(ax, \"amplitude\", ref=-10, vmin=0, vmax=0.1)\nax.grid()\n\ncb = plt.colorbar(\n    m, cax=fig.add_axes([0.05, 0.07, 0.9, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"Amplitude (m)\")"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index faeac2e1..fbc3a93c 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -26,7 +26,61 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\na = a.extract_with_length((7 * 20, -1))\nc = c.extract_with_length((7 * 20, -1))\na.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)\n\n# Plot\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\na.plot(ax, ref=-10, label=\"Anticyclonic\", color=\"r\", lw=0.1)\nc.plot(ax, ref=-10, label=\"Cyclonic\", color=\"b\", lw=0.1)\nax.legend()\nax.grid()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load experimental atlas, and keep only eddies longer than 20 weeks\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.extract_with_length((7 * 20, -1))\nc = c.extract_with_length((7 * 20, -1))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Position filtering for nice display\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\na.plot(ax, ref=-10, label=\"Anticyclonic\", color=\"r\", lw=0.1)\nc.plot(ax, ref=-10, label=\"Cyclonic\", color=\"b\", lw=0.1)\nax.legend()\nax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index 92285e9b..21455f51 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -26,7 +26,54 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)\n\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17.5, 22)\nax.set_ylim(35, 36.5)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5)\neddy_f.scatter(ax, \"n\", cmap=\"jet\", s=80)\n\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5, label='track')\neddy.index(range(0, len(eddy), 40)).display(ax, intern_only=True, label='observations every 40')\nax.legend()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load experimental atlas, and we select one eddy\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17.5, 22)\nax.set_ylim(35, 36.5)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5)\neddy_f.scatter(ax, \"n\", cmap=\"jet\", s=80)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5, label=\"track\")\neddy.index(range(0, len(eddy), 40)).display(\n    ax, intern_only=True, label=\"observations every 40\"\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index 0e5944e3..1cdefe1f 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -26,7 +26,61 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc.position_filter(median_half_window=1, loess_half_window=5)\nx0, x1, y0, y1 = 3, 4, 37, 38\narea = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)\nc_subset = c.extract_with_area(area, full_path=True)\nfig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0,),\n    (y0, y1, y1, y0, y0,),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load experimental atlas, we filter position to have nice display\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc.position_filter(median_half_window=1, loess_half_window=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We extract eddies in the area set below, but we ask to keep `full_path`\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "x0, x1, y0, y1 = 3, 4, 37, 38\narea = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)\nc_subset = c.extract_with_area(area, full_path=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0,),\n    (y0, y1, y1, y0, y0,),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 3a9c682a..99717ef1 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\nt0, t1 = a.period\n\n# Plot\nfig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)\ng_a = a.grid_count(bins, intern=True, center=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\n\ng_c = c.grid_count(bins, intern=True, center=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Parameters\nt0, t1 = a.period\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot \n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index 57e6b646..e4d31e85 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -26,7 +26,79 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13.5, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1\nax = start_axes(\"Amplitude mean by box of %s\u00b0\" % step)\ng = a.grid_stat(((-5, 37, step), (30, 46, step)), \"amplitude\")\nm = g.display(ax, name=\"amplitude\", vmin=0, vmax=10, factor=100)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Amplitude (cm)\")\n\nax = start_axes(\"Speed radius mean by box of %s\u00b0\" % step)\nstep = 0.1\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"radius_s\")\nm = g.display(ax, name=\"radius_s\", vmin=10, vmax=50, factor=0.001)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Speed radius (km)\")\n\nax = start_axes(\"Percent of virtual by box of %s\u00b0\" % step)\nstep = 0.1\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"virtual\")\ng.vars[\"virtual\"] *= 100\nm = g.display(ax, name=\"virtual\", vmin=0, vmax=15)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Percent of virtual (%)\")"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13.5, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019), we merge the 2 datasets\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Mean of amplitude in each box\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Amplitude mean by box of %s\u00b0\" % step)\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"amplitude\")\nm = g.display(ax, name=\"amplitude\", vmin=0, vmax=10, factor=100)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Amplitude (cm)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Mean of speed radius in each box\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Speed radius mean by box of %s\u00b0\" % step)\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"radius_s\")\nm = g.display(ax, name=\"radius_s\", vmin=10, vmax=50, factor=0.001)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Speed radius (km)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Percent of virtual on the whole obs in each box\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Percent of virtual by box of %s\u00b0\" % step)\ng = a.grid_stat(((-7, 37, step), (30, 46, step)), \"virtual\")\ng.vars[\"virtual\"] *= 100\nm = g.display(ax, name=\"virtual\", vmin=0, vmax=15)\nax.grid()\ncb = plt.colorbar(m, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))\ncb.set_label(\"Percent of virtual (%)\")"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index e0ba315b..77317b16 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)\n\n\n# Plot\nfig = plt.figure(figsize=(12, 7))\n\nfor x0, name, title, xmax, factor, bins in zip(\n    (0.4, 0.72, 0.08),\n    (\"radius_s\", \"speed_average\", \"amplitude\"),\n    (\"Speed radius (km)\", \"Speed average (cm/s)\", \"Amplitude (cm)\"),\n    (100, 50, 20),\n    (0.001, 100, 100),\n    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),\n):\n    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))\n    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)\n    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)\n    ax_hist.set_xticklabels([])\n    ax_hist.set_xlim(0, xmax)\n    ax_hist.grid()\n\n    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))\n    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)\n    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)\n    ax_cum.set_xticklabels([])\n    ax_cum.set_title(title)\n    ax_cum.set_xlim(0, xmax)\n    ax_cum.set_ylim(0, 1)\n    ax_cum.grid()\n\n    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))\n    ax_ratio.set_xlim(0, xmax)\n    ax_ratio.set_ylim(0, 2)\n    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)\n    ax_ratio.axhline(1, color=\"k\")\n    ax_ratio.grid()\n    ax_ratio.set_xlabel(title)\n\nax_cum.set_ylabel(\"Cumulative\\npercent distribution\")\nax_hist.set_ylabel(\"Percent of observations\")\nax_ratio.set_ylabel(\"Ratio percent\\nCyc/Acyc\")\nax_cum.legend()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 7))\n\nfor x0, name, title, xmax, factor, bins in zip(\n    (0.4, 0.72, 0.08),\n    (\"radius_s\", \"speed_average\", \"amplitude\"),\n    (\"Speed radius (km)\", \"Speed average (cm/s)\", \"Amplitude (cm)\"),\n    (100, 50, 20),\n    (0.001, 100, 100),\n    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),\n):\n    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))\n    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)\n    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)\n    ax_hist.set_xticklabels([])\n    ax_hist.set_xlim(0, xmax)\n    ax_hist.grid()\n\n    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))\n    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)\n    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)\n    ax_cum.set_xticklabels([])\n    ax_cum.set_title(title)\n    ax_cum.set_xlim(0, xmax)\n    ax_cum.set_ylim(0, 1)\n    ax_cum.grid()\n\n    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))\n    ax_ratio.set_xlim(0, xmax)\n    ax_ratio.set_ylim(0, 2)\n    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)\n    ax_ratio.axhline(1, color=\"k\")\n    ax_ratio.grid()\n    ax_ratio.set_xlabel(title)\n\nax_cum.set_ylabel(\"Cumulative\\npercent distribution\")\nax_hist.set_ylabel(\"Percent of observations\")\nax_ratio.set_ylabel(\"Ratio percent\\nCyc/Acyc\")\nax_cum.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 34bf7f54..874b60ce 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Plot\nfig = plt.figure()\nax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\n\ncum_a, bins, _ = ax_cum_lifetime.hist(\n    a[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_lifetime.hist(\n    c[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_lifetime.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_lifetime.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_lifetime.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_lifetime.plot(x[1:], nb_c / nb_a)\n\n\nfor ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):\n    ax.set_xlim(0, 365)\n    if ax in (ax_lifetime, ax_cum_lifetime):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Lifetime (days)\")\n    ax.grid()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\ncum_a, bins, _ = ax_cum_lifetime.hist(\n    a[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_lifetime.hist(\n    c[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_lifetime.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_lifetime.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_lifetime.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_lifetime.plot(x[1:], nb_c / nb_a)\n\nfor ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):\n    ax.set_xlim(0, 365)\n    if ax in (ax_lifetime, ax_cum_lifetime):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Lifetime (days)\")\n    ax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 9181f35c..d1243758 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -26,7 +26,43 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\n\n# Plot\nfig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)\ng_a = a.grid_count(bins, intern=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\n\ng_c = c.grid_count(bins, intern=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index 72190b34..288c7bf4 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -26,7 +26,97 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import distance\nimport py_eddy_tracker_sample\nfrom numpy import arange, empty\nfrom numba import njit\n\n\n@njit(cache=True)\ndef cum_distance_by_track(distance, track):\n    tr_previous = 0\n    d_cum = 0\n    new_distance = empty(track.shape, dtype=distance.dtype)\n    for i in range(distance.shape[0]):\n        tr = track[i]\n        if i != 0 and tr != tr_previous:\n            d_cum = 0\n        new_distance[i] = d_cum\n        d_cum += distance[i]\n        tr_previous = tr\n    new_distance[i + 1] = d_cum\n    return new_distance\n\n\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\na.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)\n\nd_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])\nd_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])\nd_a = cum_distance_by_track(d_a, a[\"track\"]) / 1000.0\nd_c = cum_distance_by_track(d_c, c[\"track\"]) / 1000.0\n\n# Plot\nfig = plt.figure()\nax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\n\nbins = arange(0, 1500, 10)\ncum_a, bins, _ = ax_cum_propagation.hist(\n    d_a, histtype=\"step\", bins=bins, label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_propagation.hist(\n    d_c, histtype=\"step\", bins=bins, label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_propagation.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_propagation.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_propagation.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_propagation.plot(x[1:], nb_c / nb_a)\n\n\nfor ax in (\n    ax_propagation,\n    ax_cum_propagation,\n    ax_ratio_cum_propagation,\n    ax_ratio_propagation,\n):\n    ax.set_xlim(0, 1000)\n    if ax in (ax_propagation, ax_cum_propagation):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Propagation (km)\")\n    ax.grid()"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import distance\nimport py_eddy_tracker_sample\nfrom numpy import arange, empty\nfrom numba import njit"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We will create a function compile with numba, to compute a field which contains curvilign distance\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "@njit(cache=True)\ndef cum_distance_by_track(distance, track):\n    tr_previous = 0\n    d_cum = 0\n    new_distance = empty(track.shape, dtype=distance.dtype)\n    for i in range(distance.shape[0]):\n        tr = track[i]\n        if i != 0 and tr != tr_previous:\n            d_cum = 0\n        new_distance[i] = d_cum\n        d_cum += distance[i]\n        tr_previous = tr\n    new_distance[i + 1] = d_cum\n    return new_distance"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Filtering position to remove noisy position\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a.position_filter(median_half_window=1, loess_half_window=5)\nc.position_filter(median_half_window=1, loess_half_window=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Compute curvilign distance\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])\nd_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])\nd_a = cum_distance_by_track(d_a, a[\"track\"]) / 1000.0\nd_c = cum_distance_by_track(d_c, c[\"track\"]) / 1000.0"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\nbins = arange(0, 1500, 10)\ncum_a, bins, _ = ax_cum_propagation.hist(\n    d_a, histtype=\"step\", bins=bins, label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_propagation.hist(\n    d_c, histtype=\"step\", bins=bins, label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_propagation.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_propagation.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_propagation.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_propagation.plot(x[1:], nb_c / nb_a)\n\nfor ax in (\n    ax_propagation,\n    ax_cum_propagation,\n    ax_ratio_cum_propagation,\n    ax_ratio_propagation,\n):\n    ax.set_xlim(0, 1000)\n    if ax in (ax_propagation, ax_cum_propagation):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Propagation (km)\")\n    ax.grid()"
       ]
     }
   ],
diff --git a/requirements.txt b/requirements.txt
index 39fd6fa3..f754a18e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,12 +1,13 @@
-numpy
 matplotlib
-scipy
 netCDF4
+numba
+numpy
 opencv-python
-pyyaml
-pyproj
 pint
-numba
 polygon3
+pyproj
+pyyaml
+scipy
+zarr
 # for binder
 pyeddytrackersample
\ No newline at end of file
diff --git a/requirements_doc.txt b/requirements_doc.txt
index bdf917bb..2c719347 100644
--- a/requirements_doc.txt
+++ b/requirements_doc.txt
@@ -1,2 +1,14 @@
+matplotlib
+netCDF4
+numba
+numpy
+opencv-python
+pint
+polygon3
+pyproj
+pyyaml
+scipy
+zarr
+# doc
 sphinx-gallery
 pyeddytrackersample
\ No newline at end of file
diff --git a/setup.py b/setup.py
index dab4f05d..aa4d1ba1 100644
--- a/setup.py
+++ b/setup.py
@@ -34,16 +34,16 @@
         "py_eddy_tracker": ["data/*.nc"],
     },
     install_requires=[
-        "numpy>=1.14",
-        "scipy>=0.15.1",
-        "netCDF4>=1.1.0",
         "matplotlib",
+        "netCDF4>=1.1.0",
+        "numba",
+        "numpy>=1.14",
         "opencv-python",
-        "pyyaml",
-        "pyproj",
         "pint",
-        "zarr",
         "polygon3",
-        "numba",
+        "pyproj",
+        "pyyaml",
+        "scipy>=0.15.1",
+        "zarr",
     ],
 )

From de8932211fbeab776651c981f0507eab450f846a Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 17 Jun 2020 22:48:20 +0200
Subject: [PATCH 029/441] add message suggested in issue #10

---
 src/scripts/EddyTracking | 245 ++++++++++++++++++++++++---------------
 1 file changed, 149 insertions(+), 96 deletions(-)

diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index e559d426..06d97922 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -20,65 +20,72 @@ import datetime as dt
 logger = logging.getLogger("pet")
 
 
-def browse_dataset_in(data_dir, files_model, date_regexp, date_model,
-                      start_date=None, end_date=None, sub_sampling_step=1,
-                      files=None):
+def browse_dataset_in(
+    data_dir,
+    files_model,
+    date_regexp,
+    date_model,
+    start_date=None,
+    end_date=None,
+    sub_sampling_step=1,
+    files=None,
+):
     if files is not None:
-        pattern_regexp = re_compile('.*/' + date_regexp)
+        pattern_regexp = re_compile(".*/" + date_regexp)
         filenames = bytes_(files)
     else:
-        pattern_regexp = re_compile('.*/' + date_regexp)
+        pattern_regexp = re_compile(".*/" + date_regexp)
         full_path = join_path(data_dir, files_model)
-        logger.info('Search files : %s', full_path)
+        logger.info("Search files : %s", full_path)
         filenames = bytes_(glob(full_path))
 
-    dataset_list = empty(len(filenames),
-                         dtype=[('filename', 'S500'),
-                                ('date', 'datetime64[D]'),
-                                ])
-    dataset_list['filename'] = filenames
+    dataset_list = empty(
+        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[D]"),]
+    )
+    dataset_list["filename"] = filenames
 
-    logger.info('%s grids available', dataset_list.shape[0])
+    logger.info("%s grids available", dataset_list.shape[0])
     mode_attrs = False
-    if '(' not in date_regexp:
-        logger.debug('Attrs date : %s', date_regexp)
-        mode_attrs = date_regexp.strip().split(':')
+    if "(" not in date_regexp:
+        logger.debug("Attrs date : %s", date_regexp)
+        mode_attrs = date_regexp.strip().split(":")
     else:
-        logger.debug('Pattern date : %s', date_regexp)
+        logger.debug("Pattern date : %s", date_regexp)
 
     for item in dataset_list:
         str_date = None
         if mode_attrs:
-            with Dataset(item['filename'].decode("utf-8")) as h:
+            with Dataset(item["filename"].decode("utf-8")) as h:
                 if len(mode_attrs) == 1:
                     str_date = getattr(h, mode_attrs[0])
                 else:
                     str_date = getattr(h.variables[mode_attrs[0]], mode_attrs[1])
         else:
-            result = pattern_regexp.match(str(item['filename']))
+            result = pattern_regexp.match(str(item["filename"]))
             if result:
                 str_date = result.groups()[0]
 
         if str_date is not None:
-            item['date'] = datetime.strptime(str_date, date_model).date()
+            item["date"] = datetime.strptime(str_date, date_model).date()
 
-    dataset_list.sort(order=['date', 'filename'])
+    dataset_list.sort(order=["date", "filename"])
 
-    steps = unique(dataset_list['date'][1:] - dataset_list['date'][:-1])
+    steps = unique(dataset_list["date"][1:] - dataset_list["date"][:-1])
     if len(steps) > 1:
-        raise Exception('Several days steps in grid dataset %s' % steps)
+        raise Exception("Several days steps in grid dataset %s" % steps)
 
     if sub_sampling_step != 1:
-        logger.info('Grid subsampling %d', sub_sampling_step)
+        logger.info("Grid subsampling %d", sub_sampling_step)
         dataset_list = dataset_list[::sub_sampling_step]
 
     if start_date is not None or end_date is not None:
-        logger.info('Available grid from %s to %s',
-                     dataset_list[0]['date'],
-                     dataset_list[-1]['date'])
-        logger.info('Filtering grid by time %s, %s', start_date, end_date)
-        mask = (dataset_list['date'] >= start_date) * (
-            dataset_list['date'] <= end_date)
+        logger.info(
+            "Available grid from %s to %s",
+            dataset_list[0]["date"],
+            dataset_list[-1]["date"],
+        )
+        logger.info("Filtering grid by time %s, %s", start_date, end_date)
+        mask = (dataset_list["date"] >= start_date) * (dataset_list["date"] <= end_date)
 
         dataset_list = dataset_list[mask]
     return dataset_list
@@ -88,111 +95,148 @@ def usage():
     """Usage
     """
     # Run using:
-    parser = EddyParser(
-        "Tool to use identification step to compute tracking")
-    parser.add_argument('yaml_file',
-                        help='Yaml file to configure py-eddy-tracker')
-    parser.add_argument('--correspondance_in',
-                        help='Filename of saved correspondance')
-    parser.add_argument('--correspondance_out',
-                        help='Filename to save correspondance')
-    parser.add_argument('--save_correspondance_and_stop',
-                        action='store_true',
-                        help='Stop tracking after correspondance computation,'
-                             ' merging can be done with EddyFinalTracking')
-    parser.add_argument('--zarr',
-                        action='store_true',
-                        help='Output will be wrote in zarr')
-    parser.add_argument('--unraw',
-                        action='store_true',
-                        help='Load unraw data')
-    parser.add_argument('--blank_period',
-                        type=int,
-                        default=0,
-                        help='Nb of detection which will not use at the end of the period')
+    parser = EddyParser("Tool to use identification step to compute tracking")
+    parser.add_argument("yaml_file", help="Yaml file to configure py-eddy-tracker")
+    parser.add_argument("--correspondance_in", help="Filename of saved correspondance")
+    parser.add_argument("--correspondance_out", help="Filename to save correspondance")
+    parser.add_argument(
+        "--save_correspondance_and_stop",
+        action="store_true",
+        help="Stop tracking after correspondance computation,"
+        " merging can be done with EddyFinalTracking",
+    )
+    parser.add_argument(
+        "--zarr", action="store_true", help="Output will be wrote in zarr"
+    )
+    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
+    parser.add_argument(
+        "--blank_period",
+        type=int,
+        default=0,
+        help="Nb of detection which will not use at the end of the period",
+    )
     args = parser.parse_args()
 
     # Read yaml configuration file
-    with open(args.yaml_file, 'r') as stream:
+    with open(args.yaml_file, "r") as stream:
         config = yaml_load(stream)
     if args.correspondance_in is not None and not exists(args.correspondance_in):
         args.correspondance_in = None
-    return config, args.save_correspondance_and_stop, args.correspondance_in, args.correspondance_out,\
-           args.blank_period, args.zarr, not args.unraw
-
-
-if __name__ == '__main__':
-    CONFIG, SAVE_STOP, CORRESPONDANCES_IN, CORRESPONDANCES_OUT, BLANK_PERIOD, ZARR, RAW = usage()
+    return (
+        config,
+        args.save_correspondance_and_stop,
+        args.correspondance_in,
+        args.correspondance_out,
+        args.blank_period,
+        args.zarr,
+        not args.unraw,
+    )
+
+
+if __name__ == "__main__":
+    (
+        CONFIG,
+        SAVE_STOP,
+        CORRESPONDANCES_IN,
+        CORRESPONDANCES_OUT,
+        BLANK_PERIOD,
+        ZARR,
+        RAW,
+    ) = usage()
     # Create output directory
-    SAVE_DIR = CONFIG['PATHS'].get('SAVE_DIR', None)
+    SAVE_DIR = CONFIG["PATHS"].get("SAVE_DIR", None)
     if SAVE_DIR is not None and not exists(SAVE_DIR):
         mkdir(SAVE_DIR)
 
-    YAML_CORRESPONDANCES_IN = CONFIG['PATHS'].get('CORRESPONDANCES_IN', None)
-    YAML_CORRESPONDANCES_OUT = CONFIG['PATHS'].get('CORRESPONDANCES_OUT', None)
+    YAML_CORRESPONDANCES_IN = CONFIG["PATHS"].get("CORRESPONDANCES_IN", None)
+    YAML_CORRESPONDANCES_OUT = CONFIG["PATHS"].get("CORRESPONDANCES_OUT", None)
     if CORRESPONDANCES_IN is None:
         CORRESPONDANCES_IN = YAML_CORRESPONDANCES_IN
     if CORRESPONDANCES_OUT is None:
         CORRESPONDANCES_OUT = YAML_CORRESPONDANCES_OUT
     if YAML_CORRESPONDANCES_OUT is None and CORRESPONDANCES_OUT is None:
-        CORRESPONDANCES_OUT = '{path}/{sign_type}_correspondances.nc'
+        CORRESPONDANCES_OUT = "{path}/{sign_type}_correspondances.nc"
 
-    if 'CLASS' in CONFIG:
+    if "CLASS" in CONFIG:
         CLASS = getattr(
-            __import__(CONFIG['CLASS']['MODULE'], globals(), locals(), CONFIG['CLASS']['CLASS']),
-            CONFIG['CLASS']['CLASS'])
+            __import__(
+                CONFIG["CLASS"]["MODULE"], globals(), locals(), CONFIG["CLASS"]["CLASS"]
+            ),
+            CONFIG["CLASS"]["CLASS"],
+        )
     else:
         CLASS = None
 
-    NB_VIRTUAL_OBS_MAX_BY_SEGMENT = int(CONFIG.get('VIRTUAL_LENGTH_MAX', 0))
+    NB_VIRTUAL_OBS_MAX_BY_SEGMENT = int(CONFIG.get("VIRTUAL_LENGTH_MAX", 0))
 
-    if isinstance(CONFIG['PATHS']['FILES_PATTERN'], list):
+    if isinstance(CONFIG["PATHS"]["FILES_PATTERN"], list):
         DATASET_LIST = browse_dataset_in(
             data_dir=None,
             files_model=None,
-            files=CONFIG['PATHS']['FILES_PATTERN'],
-            date_regexp='.*c_([0-9]*?).[nz].*',
-            date_model='%Y%m%d')
+            files=CONFIG["PATHS"]["FILES_PATTERN"],
+            date_regexp=".*c_([0-9]*?).[nz].*",
+            date_model="%Y%m%d",
+        )
     else:
         DATASET_LIST = browse_dataset_in(
-            data_dir=dirname(CONFIG['PATHS']['FILES_PATTERN']),
-            files_model=basename(CONFIG['PATHS']['FILES_PATTERN']),
-            date_regexp='.*c_([0-9]*?).[nz].*',
-            date_model='%Y%m%d')
+            data_dir=dirname(CONFIG["PATHS"]["FILES_PATTERN"]),
+            files_model=basename(CONFIG["PATHS"]["FILES_PATTERN"]),
+            date_regexp=".*c_([0-9]*?).[nz].*",
+            date_model="%Y%m%d",
+        )
 
     if BLANK_PERIOD > 0:
         DATASET_LIST = DATASET_LIST[:-BLANK_PERIOD]
-        logger.info('Last %d files will be pop', BLANK_PERIOD)
+        logger.info("Last %d files will be pop", BLANK_PERIOD)
 
     START_TIME = dt.datetime.now()
-    logger.info('Start tracking on %d files', len(DATASET_LIST))
+    logger.info("Start tracking on %d files", len(DATASET_LIST))
+
+    NB_OBS_MIN = int(CONFIG.get("TRACK_DURATION_MIN", 14))
+    if NB_OBS_MIN > len(DATASET_LIST):
+        raise Exception(
+            "Input file number (%s) is shorter than TRACK_DURATION_MIN (%s)."
+            % (len(DATASET_LIST), NB_OBS_MIN)
+        )
 
     CORRESPONDANCES = Correspondances(
-        datasets=DATASET_LIST['filename'],
+        datasets=DATASET_LIST["filename"],
         virtual=NB_VIRTUAL_OBS_MAX_BY_SEGMENT,
         class_method=CLASS,
-        previous_correspondance=CORRESPONDANCES_IN)
+        previous_correspondance=CORRESPONDANCES_IN,
+    )
 
     CORRESPONDANCES.track()
-    logger.info('Track finish')
-    logger.info('Start merging')
+    logger.info("Track finish")
+    logger.info("Start merging")
 
     DATE_START, DATE_STOP = CORRESPONDANCES.period
-    DICT_COMPLETION = dict(date_start=DATE_START, date_stop=DATE_STOP, date_prod=START_TIME,
-                           path=SAVE_DIR, sign_type=CORRESPONDANCES.current_obs.sign_legend)
+    DICT_COMPLETION = dict(
+        date_start=DATE_START,
+        date_stop=DATE_STOP,
+        date_prod=START_TIME,
+        path=SAVE_DIR,
+        sign_type=CORRESPONDANCES.current_obs.sign_legend,
+    )
 
     CORRESPONDANCES.save(CORRESPONDANCES_OUT, DICT_COMPLETION)
     if SAVE_STOP:
         exit()
 
     # Merge correspondance, only do if we stop and store just after compute of correspondance
-    NB_OBS_MIN = int(CONFIG.get('TRACK_DURATION_MIN', 14))
     CORRESPONDANCES.prepare_merging()
 
-    logger.info('Longer track saved have %d obs', CORRESPONDANCES.nb_obs_by_tracks.max())
-    logger.info('The mean length is %d observations before filtering', CORRESPONDANCES.nb_obs_by_tracks.mean())
+    logger.info(
+        "Longer track saved have %d obs", CORRESPONDANCES.nb_obs_by_tracks.max()
+    )
+    logger.info(
+        "The mean length is %d observations before filtering",
+        CORRESPONDANCES.nb_obs_by_tracks.mean(),
+    )
 
-    CORRESPONDANCES.get_unused_data(raw_data=RAW).write_file(path=SAVE_DIR, filename='%(path)s/%(sign_type)s_untracked.nc', zarr_flag=ZARR)
+    CORRESPONDANCES.get_unused_data(raw_data=RAW).write_file(
+        path=SAVE_DIR, filename="%(path)s/%(sign_type)s_untracked.nc", zarr_flag=ZARR
+    )
 
     SHORT_CORRESPONDANCES = CORRESPONDANCES._copy()
     SHORT_CORRESPONDANCES.shorter_than(size_max=NB_OBS_MIN)
@@ -204,19 +248,28 @@ if __name__ == '__main__':
 
     # We flag obs
     if CORRESPONDANCES.virtual:
-        FINAL_EDDIES['virtual'][:] = FINAL_EDDIES['time'] == 0
-        FINAL_EDDIES.filled_by_interpolation(FINAL_EDDIES['virtual'] == 1)
-        SHORT_TRACK['virtual'][:] = SHORT_TRACK['time'] == 0
-        SHORT_TRACK.filled_by_interpolation(SHORT_TRACK['virtual'] == 1)
+        FINAL_EDDIES["virtual"][:] = FINAL_EDDIES["time"] == 0
+        FINAL_EDDIES.filled_by_interpolation(FINAL_EDDIES["virtual"] == 1)
+        SHORT_TRACK["virtual"][:] = SHORT_TRACK["time"] == 0
+        SHORT_TRACK.filled_by_interpolation(SHORT_TRACK["virtual"] == 1)
 
     # Total running time
     FULL_TIME = dt.datetime.now() - START_TIME
-    logger.info('Mean duration by loop : %s',
-                 FULL_TIME / (len(DATASET_LIST) - 1))
-    logger.info('Duration : %s', FULL_TIME)
+    logger.info("Mean duration by loop : %s", FULL_TIME / (len(DATASET_LIST) - 1))
+    logger.info("Duration : %s", FULL_TIME)
 
-    logger.info('Longer track saved have %d obs', CORRESPONDANCES.nb_obs_by_tracks.max())
-    logger.info('The mean length is %d observations after filtering', CORRESPONDANCES.nb_obs_by_tracks.mean())
+    logger.info(
+        "Longer track saved have %d obs", CORRESPONDANCES.nb_obs_by_tracks.max()
+    )
+    logger.info(
+        "The mean length is %d observations after filtering",
+        CORRESPONDANCES.nb_obs_by_tracks.mean(),
+    )
 
     FINAL_EDDIES.write_file(path=SAVE_DIR, zarr_flag=ZARR)
-    SHORT_TRACK.write_file(filename='%(path)s/%(sign_type)s_track_too_short.nc', path=SAVE_DIR, zarr_flag=ZARR)
+    SHORT_TRACK.write_file(
+        filename="%(path)s/%(sign_type)s_track_too_short.nc",
+        path=SAVE_DIR,
+        zarr_flag=ZARR,
+    )
+

From ac0188be30a85a4dad2c43eff3ee5bb08806d462 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 19 Jun 2020 14:40:32 +0200
Subject: [PATCH 030/441] add gui to explor atlas

---
 setup.py                   |   1 +
 src/py_eddy_tracker/gui.py | 282 +++++++++++++++++++++++++++++++++++++
 src/scripts/GUIEddy        |  26 ++++
 3 files changed, 309 insertions(+)
 create mode 100644 src/py_eddy_tracker/gui.py
 create mode 100644 src/scripts/GUIEddy

diff --git a/setup.py b/setup.py
index aa4d1ba1..7b65dc56 100644
--- a/setup.py
+++ b/setup.py
@@ -24,6 +24,7 @@
         "src/scripts/EddyFinalTracking",
         "src/scripts/EddyMergeCorrespondances",
         "src/scripts/ZarrDump",
+        "src/scripts/GUIEddy",
     ],
     zip_safe=False,
     entry_points=dict(
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
new file mode 100644
index 00000000..6a8ffc55
--- /dev/null
+++ b/src/py_eddy_tracker/gui.py
@@ -0,0 +1,282 @@
+import numpy as np
+from datetime import datetime
+import matplotlib.pyplot as plt
+from matplotlib.projections import register_projection
+from matplotlib.widgets import Slider
+import py_eddy_tracker_sample as sample
+from .generic import flatten_line_matrix, split_line
+from .observations.tracking import TrackEddiesObservations
+
+
+try:
+    from pylook.axes import PlatCarreAxes
+except:
+    from matplotlib.axes import Axes
+
+    class PlatCarreAxes(Axes):
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            self.set_aspect("equal")
+
+
+class GUIAxes(PlatCarreAxes):
+    name = "full_axes"
+
+    def end_pan(self, *args, **kwargs):
+        (x0, x1), (y0, y1) = self.get_xlim(), self.get_ylim()
+        x, y = (x1 + x0) / 2, (y1 + y0) / 2
+        dx, dy = (x1 - x0) / 2.0, (y1 - y0) / 2.0
+        r_coord = dx / dy
+        # r_axe
+        _, _, w_ax, h_ax = self.get_position(original=True).bounds
+        w_fig, h_fig = self.figure.get_size_inches()
+        r_ax = w_ax / h_ax * w_fig / h_fig
+        if r_ax < r_coord:
+            y0, y1 = y - dx / r_ax, y + dx / r_ax
+            self.set_ylim(y0, y1)
+        else:
+            x0, x1 = x - dy * r_ax, x + dy * r_ax
+            self.set_xlim(x0, x1)
+        super().end_pan(*args, **kwargs)
+
+
+register_projection(GUIAxes)
+
+
+class A(TrackEddiesObservations):
+    pass
+
+
+def no(*args, **kwargs):
+    return False
+
+
+class GUI:
+    __slots__ = (
+        "datasets",
+        "figure",
+        "map",
+        "time_ax",
+        "param_ax",
+        "settings",
+        "m",
+        "last_event",
+    )
+    COLORS = ("r", "g", "b", "y", "k")
+    KEYTIME = dict(down=-1, up=1, pagedown=-5, pageup=5)
+
+    def __init__(self, **datasets):
+        self.datasets = datasets
+        self.m = dict()
+        self.set_initial_values()
+        self.setup()
+        self.last_event = datetime.now()
+        self.draw()
+        self.event()
+
+    def set_initial_values(self):
+        t0, t1 = 1e6, 0
+        for dataset in self.datasets.values():
+            t0_, t1_ = dataset.period
+            t0, t1 = min(t0, t0_), max(t1, t1_)
+
+        self.settings = dict(period=(t0, t1), now=20000,)
+        # self.settings = dict(period=(t0, t1), now=t0,)
+
+    @property
+    def now(self):
+        return self.settings["now"]
+
+    @property
+    def period(self):
+        return self.settings["period"]
+
+    @property
+    def bbox(self):
+        return self.map.get_xlim(), self.map.get_ylim()
+
+    def indexs(self, dataset):
+        (x0, x1), (y0, y1) = self.bbox
+        x, y = dataset.longitude, dataset.latitude
+        m = (x0 < x) & (x < x1) & (y0 < y) & (y < y1) & (self.now == dataset.time)
+        return np.where(m)[0]
+
+    def med(self):
+        self.map.set_xlim(-6, 37)
+        self.map.set_ylim(30, 46)
+
+    def setup(self):
+        self.figure = plt.figure()
+        # map
+        self.map = self.figure.add_axes((0, 0.25, 1, 0.75), projection="full_axes")
+        self.map.grid()
+        self.map.tick_params("x", pad=-12)
+        self.map.tick_params("y", pad=-22)
+        # time ax
+        self.time_ax = self.figure.add_axes((0, 0.15, 1, 0.1), facecolor=".95")
+        self.time_ax.can_pan
+        self.time_ax.set_xlim(*self.period)
+        self.time_ax.press = False
+        self.time_ax.can_pan = self.time_ax.can_zoom = no
+        for i, dataset in enumerate(self.datasets.values()):
+            self.time_ax.hist(
+                dataset.time,
+                bins=np.arange(self.period[0] - 0.5, self.period[1] + 0.51),
+                color=self.COLORS[i],
+                histtype="step",
+            )
+        # param
+        self.param_ax = self.figure.add_axes((0, 0, 1, 0.15), facecolor="0.2")
+
+    def draw(self):
+        # map
+        for i, (name, dataset) in enumerate(self.datasets.items()):
+            self.m[name] = dict(
+                contour_s=self.map.plot(
+                    [], [], color=self.COLORS[i], lw=0.5, label=name
+                )[0],
+                contour_e=self.map.plot([], [], color=self.COLORS[i], lw=0.5)[0],
+                path_previous=self.map.plot([], [], color=self.COLORS[i], lw=0.5)[0],
+                path_future=self.map.plot([], [], color=self.COLORS[i], lw=0.2, ls=":")[
+                    0
+                ],
+            )
+        self.m["title"] = self.map.set_title("")
+        # time_ax
+        self.m["time_vline"] = self.time_ax.axvline(0, color="k", lw=1)
+        self.m["time_text"] = self.time_ax.text(
+            0, 0, "", fontsize=8, bbox=dict(facecolor="w", alpha=0.75)
+        )
+
+    def update(self):
+        # text = []
+        # map
+        xs, ys, ns = list(), list(), list()
+        for j, (name, dataset) in enumerate(self.datasets.items()):
+            i = self.indexs(dataset)
+            self.m[name]["contour_s"].set_label(f"{name} {len(i)} eddies")
+            if len(i) == 0:
+                self.m[name]["contour_s"].set_data([], [])
+            else:
+                self.m[name]["contour_s"].set_data(
+                    flatten_line_matrix(dataset["contour_lon_s"][i]),
+                    flatten_line_matrix(dataset["contour_lat_s"][i]),
+                )
+            # text.append(f"{i.shape[0]}")
+            local_path = dataset.extract_ids(dataset["track"][i])
+            x, y, t, n, tr = (
+                local_path.longitude,
+                local_path.latitude,
+                local_path.time,
+                local_path["n"],
+                local_path["track"],
+            )
+            m = t <= self.now
+            if m.sum():
+                x_, y_ = split_line(x[m], y[m], tr[m])
+                self.m[name]["path_previous"].set_data(x_, y_)
+            else:
+                self.m[name]["path_previous"].set_data([], [])
+            m = t >= self.now
+            if m.sum():
+                x_, y_ = split_line(x[m], y[m], tr[m])
+                self.m[name]["path_future"].set_data(x_, y_)
+            else:
+                self.m[name]["path_future"].set_data([], [])
+            m = t == self.now
+            xs.append(x[m]), ys.append(y[m]), ns.append(n[m])
+
+        x, y, n = np.concatenate(xs), np.concatenate(ys), np.concatenate(ns)
+        n_min = 0
+        if len(n) > 50:
+            n_ = n.copy()
+            n_.sort()
+            n_min = n_[-50]
+        for text in self.m.pop("texts", list()):
+            text.remove()
+        self.m["texts"] = [
+            self.map.text(x_, y_, n_) for x_, y_, n_ in zip(x, y, n) if n_ >= n_min
+        ]
+
+        self.m["title"].set_text(self.now)
+        self.map.legend()
+        # time ax
+        x, y = self.m["time_vline"].get_data()
+        self.m["time_vline"].set_data(self.now, y)
+        # self.m["time_text"].set_text("\n".join(text))
+        self.m["time_text"].set_position((self.now, 0))
+        # force update
+        self.map.figure.canvas.draw()
+
+    def event(self):
+        self.figure.canvas.mpl_connect("resize_event", self.adjust)
+        self.figure.canvas.mpl_connect("scroll_event", self.scroll)
+        self.figure.canvas.mpl_connect("button_press_event", self.press)
+        self.figure.canvas.mpl_connect("motion_notify_event", self.move)
+        self.figure.canvas.mpl_connect("button_release_event", self.release)
+        self.figure.canvas.mpl_connect("key_press_event", self.keyboard)
+
+    def keyboard(self, event):
+        if event.key in self.KEYTIME:
+            self.settings["now"] += self.KEYTIME[event.key]
+            self.update()
+        elif event.key == "home":
+            self.settings["now"] = self.period[0]
+            self.update()
+        elif event.key == "end":
+            self.settings["now"] = self.period[1]
+            self.update()
+
+    def press(self, event):
+        if event.inaxes == self.time_ax and self.m["time_vline"].contains(event)[0]:
+            self.time_ax.press = True
+            self.time_ax.bg_cache = self.figure.canvas.copy_from_bbox(self.time_ax.bbox)
+
+    def move(self, event):
+        if event.inaxes == self.time_ax and self.time_ax.press:
+            x, y = self.m["time_vline"].get_data()
+            self.m["time_vline"].set_data(event.xdata, y)
+            self.figure.canvas.restore_region(self.time_ax.bg_cache)
+            self.time_ax.draw_artist(self.m["time_vline"])
+            self.figure.canvas.blit(self.time_ax.bbox)
+
+    def release(self, event):
+        if self.time_ax.press:
+            self.time_ax.press = False
+            self.settings["now"] = int(self.m["time_vline"].get_data()[0])
+            self.update()
+
+    def scroll(self, event):
+        if event.inaxes != self.map:
+            return
+        if event.button == "up":
+            self.settings["now"] += 1
+        if event.button == "down":
+            self.settings["now"] -= 1
+        self.update()
+
+    def adjust(self, event=None):
+        self.map._pan_start = None
+        self.map.end_pan()
+
+    def show(self):
+        self.update()
+        plt.show()
+
+
+if __name__ == "__main__":
+
+    # a_ = A.load_file(
+    # "/home/toto/dev/work/pet/20200611_example_dataset/tracking/Anticyclonic_track_too_short.nc"
+    # )
+    # c_ = A.load_file(
+    #     "/home/toto/dev/work/pet/20200611_example_dataset/tracking/Cyclonic_track_too_short.nc"
+    # )
+    a = A.load_file(sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
+    # c = A.load_file(sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
+    # g = GUI(Acyc=a, Cyc=c, Acyc_short=a_, Cyc_short=c_)
+    g = GUI(Acyc=a)
+    # g = GUI(Acyc_short=a_)
+    # g = GUI(Acyc_short=a_, Cyc_short=c_)
+    g.med()
+    g.show()
diff --git a/src/scripts/GUIEddy b/src/scripts/GUIEddy
new file mode 100644
index 00000000..6f9673f4
--- /dev/null
+++ b/src/scripts/GUIEddy
@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+Gui for eddy atlas
+"""
+from argparse import ArgumentParser
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+from py_eddy_tracker.gui import GUI
+
+
+def parser():
+    parser = ArgumentParser("Eddy atlas GUI")
+    parser.add_argument("atlas", nargs="+")
+    parser.add_argument("--med", action='store_true')
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    args = parser()
+    atlas = {
+        dataset: TrackEddiesObservations.load_file(dataset) for dataset in args.atlas
+    }
+    g = GUI(**atlas)
+    if args.med:
+        g.med()
+    g.show()

From 10507e5eed2ad445943b86d678a6b10d702b083b Mon Sep 17 00:00:00 2001
From: Nikolay Koldunov <koldunovn@gmail.com>
Date: Fri, 19 Jun 2020 19:51:18 +0200
Subject: [PATCH 031/441] convert coordinates to floats

---
 src/py_eddy_tracker/dataset/grid.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index bd7431c2..22f1b2f7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -424,8 +424,8 @@ def setup_coordinates(self):
         x_name, y_name = self.coordinates
         if self.is_centered:
             logger.info("Grid center")
-            self.x_c = self.vars[x_name]
-            self.y_c = self.vars[y_name]
+            self.x_c = self.vars[x_name].astype('float64')
+            self.y_c = self.vars[y_name].astype('float64')
 
             self.x_bounds = concatenate((self.x_c, (2 * self.x_c[-1] - self.x_c[-2],)))
             self.y_bounds = concatenate((self.y_c, (2 * self.y_c[-1] - self.y_c[-2],)))
@@ -437,8 +437,8 @@ def setup_coordinates(self):
             self.y_bounds[-1] -= d_y[-1] / 2
 
         else:
-            self.x_bounds = self.vars[x_name]
-            self.y_bounds = self.vars[y_name]
+            self.x_bounds = self.vars[x_name].astype('float64')
+            self.y_bounds = self.vars[y_name].astype('float64')
 
             if len(self.x_dim) == 1:
                 self.x_c = self.x_bounds.copy()

From 6f5ff2b54e19e94eb2e40da43164ea4ba0fe13f9 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 22 Jun 2020 22:39:56 +0200
Subject: [PATCH 032/441] Solution for issue #11, wrap longitude if asked

---
 src/py_eddy_tracker/generic.py                | 48 +++++++++++++++++++
 .../observations/observation.py               | 24 +++++-----
 src/py_eddy_tracker/observations/tracking.py  |  7 ++-
 3 files changed, 62 insertions(+), 17 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 76a6d498..7bc52356 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -14,6 +14,7 @@
     linspace,
     interp,
     where,
+    isnan,
 )
 from numba import njit, prange
 from numpy.linalg import lstsq
@@ -287,3 +288,50 @@ def split_line(x, y, i):
             new_y[new_j] = nan
             new_j += 1
     return new_x, new_y
+
+
+@njit(cache=True)
+def wrap_longitude(x, y, ref, cut=False):
+    if cut:
+        indexs = list()
+        nb = x.shape[0]
+        new_previous = (x[0] - ref) % 360
+        x_previous = x[0]
+        for i in range(1, nb):
+            x_ = x[i]
+            new_x = (x_ - ref) % 360
+            if not isnan(x_) and not isnan(x_previous):
+                d_new = new_x - new_previous
+                d = x_ - x_previous
+                if d != d_new:
+                    indexs.append(i)
+            x_previous, new_previous = x_, new_x
+
+        nb_indexs = len(indexs)
+        new_size = nb + nb_indexs * 3
+        out_x = empty(new_size, dtype=x.dtype)
+        out_y = empty(new_size, dtype=y.dtype)
+        i_ = 0
+        j = 0
+        for i in range(nb):
+            if j < nb_indexs and i == indexs[j]:
+                j += 1
+                cor = 360 if x[i - 1] > x[i] else -360
+                out_x[i + i_] = (x[i] - ref) % 360 + ref - cor
+                out_y[i + i_] = y[i]
+                out_x[i + i_ + 1] = nan
+                out_y[i + i_ + 1] = nan
+                out_x[i + i_ + 2] = (x[i - 1] - ref) % 360 + ref + cor
+                out_y[i + i_ + 2] = y[i - 1]
+                i_ += 3
+            out_x[i + i_] = (x[i] - ref) % 360 + ref
+            out_y[i + i_] = y[i]
+        return out_x, out_y
+
+    else:
+        nb = x.shape[0]
+        out = empty(nb, dtype=x.dtype)
+        for i in range(nb):
+            out[i] = (x[i] - ref) % 360 + ref
+        return out, y
+
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 66adaf3d..cabc846b 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -58,7 +58,7 @@
 from tokenize import TokenError
 from matplotlib.path import Path as BasePath
 from .. import VAR_DESCR, VAR_DESCR_inv
-from ..generic import distance_grid, distance, flatten_line_matrix
+from ..generic import distance_grid, distance, flatten_line_matrix, wrap_longitude
 from ..poly import bbox_intersection, common_area
 
 logger = logging.getLogger("pet")
@@ -1242,7 +1242,7 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
-    def scatter(self, ax, name, ref=None, factor=1, ** kwargs):
+    def scatter(self, ax, name, ref=None, factor=1, **kwargs):
         x = self.longitude
         if ref is not None:
             x = (x - ref) % 360 + ref
@@ -1260,17 +1260,15 @@ def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         kwargs_e = kwargs.copy()
         if not extern_only:
             kwargs_e.pop("label", None)
-        if ref is None:
-            if not extern_only:
-                ax.plot(lon_s, lat_s, **kwargs)
-            if not intern_only:
-                ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
-        else:
-            # FIXME : ref could split eddies
-            if not extern_only:
-                ax.plot((lon_s - ref) % 360 + ref, lat_s, **kwargs)
-            if not intern_only:
-                ax.plot((lon_e - ref) % 360 + ref, lat_e, linestyle="-.", **kwargs_e)
+
+        if not extern_only:
+            if ref is not None:
+                lon_s, lat_s = wrap_longitude(lon_s, lat_s, ref, cut=True)
+            ax.plot(lon_s, lat_s, **kwargs)
+        if not intern_only:
+            if ref is not None:
+                lon_e, lat_e = wrap_longitude(lon_e, lat_e, ref, cut=True)
+            ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
 
     def grid_count(self, bins, intern=False, center=False):
         x_name, y_name = self.intern(intern)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 4b13f0ec..4c5a8219 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -44,7 +44,7 @@
 from datetime import datetime, timedelta
 from .observation import EddiesObservations
 from numba import njit
-from ..generic import split_line
+from ..generic import split_line, wrap_longitude
 
 logger = logging.getLogger("pet")
 
@@ -365,10 +365,9 @@ def __extract_with_mask(
     def plot(self, ax, ref=None, **kwargs):
         if "label" in kwargs:
             kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
-        x = self.longitude
+        x, y = split_line(self.longitude, self.latitude, self.tracks)
         if ref is not None:
-            x = (x - ref) % 360 + ref
-        x, y = split_line(x, self.latitude, self.tracks)
+            x, y = wrap_longitude(x, y, ref, cut=True)
         return ax.plot(x, y, **kwargs)
 
 

From 9a03cbf4b38a65c1f9a3e2d6cd7719f7459422cc Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 22 Jun 2020 23:05:44 +0200
Subject: [PATCH 033/441] add a correction for #11

---
 src/py_eddy_tracker/generic.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 7bc52356..27c4389a 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -303,7 +303,7 @@ def wrap_longitude(x, y, ref, cut=False):
             if not isnan(x_) and not isnan(x_previous):
                 d_new = new_x - new_previous
                 d = x_ - x_previous
-                if d != d_new:
+                if abs(d - d_new) > 1e-5:
                     indexs.append(i)
             x_previous, new_previous = x_, new_x
 

From 68badf5d26742605079accd21b76bfd4b88ce0eb Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 23 Jun 2020 21:58:19 +0200
Subject: [PATCH 034/441] Change time of start for gui

---
 src/py_eddy_tracker/gui.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 6a8ffc55..3f1b794f 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -2,7 +2,6 @@
 from datetime import datetime
 import matplotlib.pyplot as plt
 from matplotlib.projections import register_projection
-from matplotlib.widgets import Slider
 import py_eddy_tracker_sample as sample
 from .generic import flatten_line_matrix, split_line
 from .observations.tracking import TrackEddiesObservations
@@ -10,7 +9,7 @@
 
 try:
     from pylook.axes import PlatCarreAxes
-except:
+except ImportError:
     from matplotlib.axes import Axes
 
     class PlatCarreAxes(Axes):
@@ -80,8 +79,7 @@ def set_initial_values(self):
             t0_, t1_ = dataset.period
             t0, t1 = min(t0, t0_), max(t1, t1_)
 
-        self.settings = dict(period=(t0, t1), now=20000,)
-        # self.settings = dict(period=(t0, t1), now=t0,)
+        self.settings = dict(period=(t0, t1), now=t1,)
 
     @property
     def now(self):

From aff89e445087f536fb8987cb1d26d6fd9bad1b90 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 23 Jun 2020 21:59:26 +0200
Subject: [PATCH 035/441] Merge create_vertice and custom_concat function

---
 .../pet_hide_pixel_out_eddies.py               |  5 +++--
 .../observations/observation.py                | 18 ++++--------------
 src/py_eddy_tracker/poly.py                    |  2 +-
 3 files changed, 8 insertions(+), 17 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
index 439bfad3..2c007dfa 100644
--- a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -7,8 +7,9 @@
 from matplotlib import pyplot as plt
 from matplotlib.path import Path
 from numpy import ones
-from py_eddy_tracker.observations.observation import EddiesObservations, custom_concat
+from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.poly import create_vertice
 from py_eddy_tracker import data
 
 # %%
@@ -35,7 +36,7 @@
 adt = g.grid("adt")
 mask = ones(adt.shape, dtype='bool')
 for eddy in a:
-    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)
+    i, j = Path(create_vertice(eddy[x_name], eddy[y_name])).pixels_in(g)
     mask[i, j] = False
 adt.mask[:] += ~mask
 g.display(ax, "adt")
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index cabc846b..ca24b781 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -59,7 +59,7 @@
 from matplotlib.path import Path as BasePath
 from .. import VAR_DESCR, VAR_DESCR_inv
 from ..generic import distance_grid, distance, flatten_line_matrix, wrap_longitude
-from ..poly import bbox_intersection, common_area
+from ..poly import bbox_intersection, common_area, create_vertice
 
 logger = logging.getLogger("pet")
 
@@ -123,16 +123,6 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
     return m
 
 
-@njit(cache=True, fastmath=True)
-def custom_concat(x, y):
-    nb = x.shape[0]
-    a = empty((nb, 2))
-    for i in range(nb):
-        a[i, 0] = x[i]
-        a[i, 1] = y[i]
-    return a
-
-
 class EddiesObservations(object):
     """
     Class to hold eddy properties *amplitude* and counts of
@@ -761,10 +751,10 @@ def cost_function_common_area(cls, xy_in, xy_out, distance, intern=False):
                 continue
 
             x_in_, x_out_ = x_in[i], x_out[i]
-            p_in = Polygon(custom_concat(x_in_, y_in[i]))
+            p_in = Polygon(create_vertice(x_in_, y_in[i]))
             if abs(x_in_[0] - x_out_[0]) > 180:
                 x_out_ = (x_out[i] - (x_in_[0] - 180)) % 360 + x_in_[0] - 180
-            p_out = Polygon(custom_concat(x_out_, y_out[i]))
+            p_out = Polygon(create_vertice(x_out_, y_out[i]))
             costs[i] = 1 - (p_in & p_out).area() / min(p_in.area(), p_out.area())
         costs.mask = costs == 1
         return costs
@@ -1288,7 +1278,7 @@ def grid_count(self, bins, intern=False, center=False):
         else:
             x, y = (self[x_name] - x0) % 360 + x0, self[y_name]
             for x_, y_ in zip(x, y):
-                i, j = BasePath(custom_concat(x_, y_)).pixels_in(regular_grid)
+                i, j = BasePath(create_vertice(x_, y_)).pixels_in(regular_grid)
                 grid_count_(grid, i, j)
             grid.mask = grid == 0
         return regular_grid
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 17caa4ba..03765e8d 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -121,7 +121,7 @@ def bbox_intersection(x0, y0, x1, y1):
     return array(i), array(j)
 
 
-@njit(cache=True, fastmath=True)
+@njit(cache=True)
 def create_vertice(x, y):
     nb = x.shape[0]
     v = empty((nb, 2))

From ef22a98e1d110fb4cb4878cc0881acaac9a335cf Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 23 Jun 2020 22:06:59 +0200
Subject: [PATCH 036/441] update examples, and add an example of eddy animation

---
 .../pet_track_anim.py                         |  69 +++++++++++
 .../pet_center_count.py                       |   2 +-
 .../pet_hide_pixel_out_eddies.ipynb           |   4 +-
 .../pet_track_anim.ipynb                      | 108 ++++++++++++++++++
 .../pet_center_count.ipynb                    |   2 +-
 5 files changed, 181 insertions(+), 4 deletions(-)
 create mode 100644 examples/08_tracking_manipulation/pet_track_anim.py
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb

diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
new file mode 100644
index 00000000..73e157d2
--- /dev/null
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -0,0 +1,69 @@
+"""
+Track animation
+===============
+
+Run in a terminal this script, which allow to watch eddy evolution
+
+"""
+from matplotlib import pyplot as plt
+from matplotlib.collections import LineCollection
+import matplotlib.transforms as mt
+from numpy import arange
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+from py_eddy_tracker.poly import create_vertice
+import py_eddy_tracker_sample
+
+# %%
+# Load experimental atlas, and we select one eddy
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+eddy = a.extract_ids([9672])
+t0, t1 = eddy.period
+t = eddy.time
+x = eddy["contour_lon_s"]
+y = eddy["contour_lat_s"]
+
+# %%
+# General value
+T = 25.0
+cmap = plt.get_cmap("viridis")
+COLORS = cmap(arange(T + 1) / T)
+
+
+# %%
+# plot
+fig = plt.figure(figsize=(12, 5))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_xlim(16.5, 23)
+ax.set_ylim(34.5, 37)
+ax.set_aspect("equal")
+ax.grid()
+# init mappable
+txt = ax.text(16.6, 36.8, "", zorder=10)
+segs = list()
+c = LineCollection([], zorder=1)
+ax.add_collection(c)
+
+fig.canvas.draw()
+plt.show(block=False)
+# save background for future bliting
+bg_cache = fig.canvas.copy_from_bbox(ax.bbox)
+# display contour every 2 day
+for t_ in range(t0, t1 + 1, 2):
+    fig.canvas.restore_region(bg_cache)
+    # select contour for this time step
+    m = t == t_
+    segs.append(create_vertice(x[m][0], y[m][0]))
+    c.set_paths(segs)
+    c.set_color(COLORS[-len(segs) :])
+    txt.set_text(f"{t0} -> {t_} -> {t1}")
+    ax.draw_artist(c)
+    ax.draw_artist(txt)
+    # Remove first segment to keep only T contour
+    if len(segs) > T:
+        segs.pop(0)
+    # paint updated artist
+    fig.canvas.blit(ax.bbox)
+
+    fig.canvas.start_event_loop(1e-10)
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index fdfa3f1f..c727ae01 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -27,7 +27,7 @@
 
 
 # %%
-# Plot 
+# Plot
 fig = plt.figure(figsize=(12, 18.5))
 ax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])
 ax_a.set_title("Anticyclonic center frequency")
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index 20bcb959..823c37c4 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations, custom_concat\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.poly import create_vertice\nfrom py_eddy_tracker import data"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\n# We will used the outter contour\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(custom_concat(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\n# We will used the outter contour\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(create_vertice(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
new file mode 100644
index 00000000..2c584a17
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nTrack animation\n===============\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom matplotlib.collections import LineCollection\nimport matplotlib.transforms as mt\nfrom numpy import arange\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.poly import create_vertice\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load experimental atlas, and we select one eddy\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\nt0, t1 = eddy.period\nt = eddy.time\nx = eddy[\"contour_lon_s\"]\ny = eddy[\"contour_lat_s\"]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "General value\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "T = 25.0\ncmap = plt.get_cmap(\"viridis\")\nCOLORS = cmap(arange(T + 1) / T)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(16.5, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\n# init mappable\ntxt = ax.text(16.6, 36.8, \"\", zorder=10)\nsegs = list()\nc = LineCollection([], zorder=1)\nax.add_collection(c)\n\nfig.canvas.draw()\nplt.show(block=False)\n# save background for future bliting\nbg_cache = fig.canvas.copy_from_bbox(ax.bbox)\n# display contour every 2 day\nfor t_ in range(t0, t1 + 1, 2):\n    fig.canvas.restore_region(bg_cache)\n    # select contour for this time step\n    m = t == t_\n    segs.append(create_vertice(x[m][0], y[m][0]))\n    c.set_paths(segs)\n    c.set_color(COLORS[-len(segs) :])\n    txt.set_text(f\"{t0} -> {t_} -> {t1}\")\n    ax.draw_artist(c)\n    ax.draw_artist(txt)\n    # Remove first segment to keep only T contour\n    if len(segs) > T:\n        segs.pop(0)\n    # paint updated artist\n    fig.canvas.blit(ax.bbox)\n\n    fig.canvas.start_event_loop(1e-10)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 99717ef1..9fb3bb3e 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot \n\n"
+        "Plot\n\n"
       ]
     },
     {

From 19b6fd185d774a4941e5db220cbb8f6bfcf0a9eb Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 24 Jun 2020 10:59:46 +0200
Subject: [PATCH 037/441] black correction

---
 .../pet_eddy_detection.py                     |  1 +
 .../pet_track_anim.py                         |  1 -
 .../pet_propagation.py                        |  1 +
 src/py_eddy_tracker/__init__.py               | 15 ++++--------
 src/py_eddy_tracker/appli.py                  | 22 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  8 +++----
 src/py_eddy_tracker/eddy_feature.py           |  7 +-----
 src/py_eddy_tracker/generic.py                | 21 ++++++++++++++++-
 src/py_eddy_tracker/gui.py                    | 23 +++++++++++++++++++
 src/py_eddy_tracker/poly.py                   | 20 ++++++++++++++++
 src/py_eddy_tracker/tracking.py               | 13 ++++-------
 11 files changed, 101 insertions(+), 31 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index cdc25e13..c0a87357 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -12,6 +12,7 @@
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
 
+
 # %%
 def start_axes(title):
     fig = plt.figure(figsize=(13, 5))
diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index 73e157d2..aacb87ca 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -7,7 +7,6 @@
 """
 from matplotlib import pyplot as plt
 from matplotlib.collections import LineCollection
-import matplotlib.transforms as mt
 from numpy import arange
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 from py_eddy_tracker.poly import create_vertice
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index cdee44bf..49a3b532 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -10,6 +10,7 @@
 from numpy import arange, empty
 from numba import njit
 
+
 # %%
 # We will create a function compile with numba, to compute a field which contains curvilign distance
 @njit(cache=True)
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 9a2e473a..61363349 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -16,17 +16,11 @@
     You should have received a copy of the GNU General Public License
     along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
 
-Copyright (c) 2014-2017 by Antoine Delepoulle and Evan Mason
-Email: emason@imedea.uib-csic.es
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
 ===========================================================================
-
-__init__.py
-
-Version 3.0.0
-
-===========================================================================
-
 """
+
 from argparse import ArgumentParser
 import logging
 import numpy
@@ -329,7 +323,8 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             longname="speed radius scale",
             units="m",
-            description="Radius of a circle whose area is equal to that enclosed by the contour of maximum circum-average speed",
+            description="Radius of a circle whose area is equal to that \
+                enclosed by the contour of maximum circum-average speed",
         ),
     ),
     track=dict(
diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index 1c524fc4..c7864223 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -1,4 +1,26 @@
 # -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 from netCDF4 import Dataset
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 22f1b2f7..ee4c26d7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -424,8 +424,8 @@ def setup_coordinates(self):
         x_name, y_name = self.coordinates
         if self.is_centered:
             logger.info("Grid center")
-            self.x_c = self.vars[x_name].astype('float64')
-            self.y_c = self.vars[y_name].astype('float64')
+            self.x_c = self.vars[x_name].astype("float64")
+            self.y_c = self.vars[y_name].astype("float64")
 
             self.x_bounds = concatenate((self.x_c, (2 * self.x_c[-1] - self.x_c[-2],)))
             self.y_bounds = concatenate((self.y_c, (2 * self.y_c[-1] - self.y_c[-2],)))
@@ -437,8 +437,8 @@ def setup_coordinates(self):
             self.y_bounds[-1] -= d_y[-1] / 2
 
         else:
-            self.x_bounds = self.vars[x_name].astype('float64')
-            self.y_bounds = self.vars[y_name].astype('float64')
+            self.x_bounds = self.vars[x_name].astype("float64")
+            self.y_bounds = self.vars[y_name].astype("float64")
 
             if len(self.x_dim) == 1:
                 self.x_c = self.x_bounds.copy()
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 234ee12b..a54fbc72 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -17,13 +17,8 @@
     along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
 
 Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gamil.com
+Email: evanmason@gmail.com
 ===========================================================================
-
-Version 3.0
-
-===========================================================================
-
 """
 
 import logging
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 27c4389a..c8f2ae00 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -1,6 +1,26 @@
 # -*- coding: utf-8 -*-
 """
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
 """
+
 from numpy import (
     sin,
     pi,
@@ -334,4 +354,3 @@ def wrap_longitude(x, y, ref, cut=False):
         for i in range(nb):
             out[i] = (x[i] - ref) % 360 + ref
         return out, y
-
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 3f1b794f..8d737edd 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -1,3 +1,26 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+
 import numpy as np
 from datetime import datetime
 import matplotlib.pyplot as plt
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 03765e8d..57e00356 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -1,6 +1,26 @@
 # -*- coding: utf-8 -*-
 """
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
 """
+
 from numpy import empty, where, array
 from numba import njit, prange, types as numba_types
 from Polygon import Polygon
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 65df89bc..15e83a98 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -1,4 +1,5 @@
 # -*- coding: utf-8 -*-
+# -*- coding: utf-8 -*-
 """
 ===========================================================================
 This file is part of py-eddy-tracker.
@@ -16,17 +17,11 @@
     You should have received a copy of the GNU General Public License
     along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
 
-Copyright (c) 2014-2017 by Evan Mason and Antoine Delepoulle
-Email: emason@imedea.uib-csic.es
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
 ===========================================================================
-
-tracking.py
-
-Version 3.0.0
-
-===========================================================================
-
 """
+
 from datetime import timedelta, datetime
 from py_eddy_tracker.observations.observation import EddiesObservations, VirtualEddiesObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations

From e5c56c2a89934647dc5fe4d709dd87e0ebd2f9c9 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 24 Jun 2020 11:00:15 +0200
Subject: [PATCH 038/441] Add an entry point to track eddy like network

---
 setup.py                       |   5 +-
 src/py_eddy_tracker/network.py | 241 +++++++++++++++++++++++++++++++++
 2 files changed, 245 insertions(+), 1 deletion(-)
 create mode 100644 src/py_eddy_tracker/network.py

diff --git a/setup.py b/setup.py
index 7b65dc56..11e47f31 100644
--- a/setup.py
+++ b/setup.py
@@ -28,7 +28,10 @@
     ],
     zip_safe=False,
     entry_points=dict(
-        console_scripts=["MergeEddies = py_eddy_tracker.appli:merge_eddies"]
+        console_scripts=[
+            "MergeEddies = py_eddy_tracker.appli:merge_eddies",
+            "EddyNetworkGroup = py_eddy_tracker.network:build_network",
+        ]
     ),
     package_data={
         "py_eddy_tracker.featured_tracking": ["*.nc"],
diff --git a/src/py_eddy_tracker/network.py b/src/py_eddy_tracker/network.py
new file mode 100644
index 00000000..ac72efda
--- /dev/null
+++ b/src/py_eddy_tracker/network.py
@@ -0,0 +1,241 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+
+import logging
+from glob import glob
+from netCDF4 import Dataset
+from Polygon import Polygon
+from numba import njit, uint32
+from numpy import empty, array, arange, unique, bincount
+from py_eddy_tracker.poly import bbox_intersection, create_vertice
+from py_eddy_tracker import EddyParser
+
+
+logger = logging.getLogger("pet")
+
+NOGROUP = 0
+# To be used like a buffer
+DATA = dict()
+FLIST = list()
+
+
+def load_contour(filename, xname, yname):
+    """
+    To avoid multiple load of same file we store last 20 result
+    """
+    if filename not in DATA:
+        with Dataset(filename) as h:
+            if len(FLIST) >= 20:
+                DATA.pop(FLIST.pop(0))
+            FLIST.append(filename)
+            DATA[filename] = h.variables[xname][:], h.variables[yname][:]
+    return DATA[filename]
+
+
+@njit(cache=True)
+def get_wrap_vertice(x0, y0, x1, y1, i):
+    x0_, x1_ = x0[i], x1[i]
+    if abs(x0_[0] - x1_[0]) > 180:
+        ref = x0_[0] - x0.dtype.type(180)
+        x1_ = x1[i]
+        x1_ = (x1[i] - ref) % 360 + ref
+    return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
+
+
+def common_area(x0, y0, x1, y1, minimal_area=False):
+    nb, _ = x0.shape
+    cost = empty((nb))
+    for i in range(nb):
+        # Get wrapped vertice for index i
+        v0, v1 = get_wrap_vertice(x0, y0, x1, y1, i)
+        p0 = Polygon(v0)
+        p1 = Polygon(v1)
+        # Area of intersection
+        intersection = (p0 & p1).area()
+        # we divide intersection with the little one result from 0 to 1
+        if minimal_area:
+            p0_area = p0.area()
+            p1_area = p1.area()
+            cost[i] = intersection / min(p0_area, p1_area)
+        # we divide intersection with polygon merging result from 0 to 1
+        else:
+            union = (p0 + p1).area()
+            cost[i] = intersection / union
+    return cost
+
+
+def get_group_array(results, nb_obs):
+    """With a loop on all pair of index, we will label each obs with a group
+    number
+    """
+    nb_obs = array(nb_obs)
+    day_start = nb_obs.cumsum() - nb_obs
+    gr = empty(nb_obs.sum(), dtype="u4")
+    gr[:] = NOGROUP
+
+    next_id_group = 1
+    for i, j, i_ref, i_etu in results:
+        sl_ref = slice(day_start[i], day_start[i] + nb_obs[i])
+        sl_etu = slice(day_start[j], day_start[j] + nb_obs[j])
+        # obs with no groups
+        m = (gr[sl_ref][i_ref] == NOGROUP) * (gr[sl_etu][i_etu] == NOGROUP)
+        nb_no_groups = m.sum()
+        gr[sl_ref][i_ref[m]] = gr[sl_etu][i_etu[m]] = arange(
+            next_id_group, next_id_group + nb_no_groups
+        )
+        next_id_group += nb_no_groups
+        # associate obs with no group with obs with group
+        m = (gr[sl_ref][i_ref] != NOGROUP) * (gr[sl_etu][i_etu] == NOGROUP)
+        gr[sl_etu][i_etu[m]] = gr[sl_ref][i_ref[m]]
+        m = (gr[sl_ref][i_ref] == NOGROUP) * (gr[sl_etu][i_etu] != NOGROUP)
+        gr[sl_ref][i_ref[m]] = gr[sl_etu][i_etu[m]]
+        # case where 2 obs have a different group
+        m = gr[sl_ref][i_ref] != gr[sl_etu][i_etu]
+        if m.any():
+            # Merge of group, ref over etu
+            for i_, j_ in zip(i_ref[m], i_etu[m]):
+                g_ref, g_etu = gr[sl_ref][i_], gr[sl_etu][j_]
+                gr[gr == g_ref] = g_etu
+    return gr
+
+
+def save(filenames, gr, out):
+    """Function to saved group output
+    """
+    new_i = get_next_index(gr)
+    nb = gr.shape[0]
+    dtype = list()
+    with Dataset(out, "w") as h_out:
+        with Dataset(filenames[0]) as h_model:
+            for name, dim in h_model.dimensions.items():
+                h_out.createDimension(name, len(dim) if name != "obs" else nb)
+            v = h_out.createVariable(
+                "track", "u4", ("obs",), True, chunksizes=(min(250000, nb),)
+            )
+            d = v[:].copy()
+            d[new_i] = gr
+            v[:] = d
+            for k in h_model.ncattrs():
+                h_out.setncattr(k, h_model.getncattr(k))
+            for name, v in h_model.variables.items():
+                dtype.append(
+                    (
+                        name,
+                        (v.datatype, 50) if "NbSample" in v.dimensions else v.datatype,
+                    )
+                )
+                new_v = h_out.createVariable(
+                    name,
+                    v.datatype,
+                    v.dimensions,
+                    True,
+                    chunksizes=(min(25000, nb), 50)
+                    if "NbSample" in v.dimensions
+                    else (min(250000, nb),),
+                )
+                for k in v.ncattrs():
+                    if k in ("min", "max",):
+                        continue
+                    new_v.setncattr(k, v.getncattr(k))
+        data = empty(nb, dtype)
+        i = 0
+        debug_active = logger.getEffectiveLevel() == logging.DEBUG
+        for filename in filenames:
+            if debug_active:
+                print(f'Load {filename} to copy', end="\r")
+            with Dataset(filename) as h_in:
+                stop = i + len(h_in.dimensions["obs"])
+                sl = slice(i, stop)
+                for name, _ in dtype:
+                    v = h_in.variables[name]
+                    v.set_auto_maskandscale(False)
+                    data[name][new_i[sl]] = v[:]
+                i = stop
+        if debug_active:
+            print()
+        for name, _ in dtype:
+            v = h_out.variables[name]
+            v.set_auto_maskandscale(False)
+            v[:] = data[name]
+
+
+@njit(cache=True)
+def get_next_index(gr):
+    """Return for each obs index the new position to join all group
+    """
+    nb_obs_gr = bincount(gr)
+    i_gr = nb_obs_gr.cumsum() - nb_obs_gr
+    new_index = empty(gr.shape, dtype=uint32)
+    for i, g in enumerate(gr):
+        new_index[i] = i_gr[g]
+        i_gr[g] += 1
+    return new_index
+
+
+def build_network():
+    parser = EddyParser("Merge eddies")
+    parser.add_argument(
+        "identification_regex",
+        help="Give an expression which will use with glob, currently only netcdf file",
+    )
+    parser.add_argument("out", help="output file, currently only netcdf file")
+    parser.add_argument(
+        "--window", "-w", type=int, help="Half time window to search eddy", default=1
+    )
+    parser.add_argument(
+        "--intern",
+        action="store_true",
+        help="Use intern contour instead of outter contour",
+    )
+    args = parser.parse_args()
+    network(args.identification_regex, args.out, window=args.window, intern=args.intern)
+
+
+def network(regex, filename_out, window=1, intern=False):
+    filenames = glob(regex)
+    filenames.sort()
+    nb_in = len(filenames)
+    if intern:
+        coord = "speed_contour_longitude", "speed_contour_latitude"
+    else:
+        coord = "effective_contour_longitude", "effective_contour_latitude"
+    results, nb_obs = list(), list()
+    debug_active = logger.getEffectiveLevel() == logging.DEBUG
+    for i, filename in enumerate(filenames):
+        if debug_active:
+            print(f'{filename} compared to {window} next', end="\r")
+        xi, yi = load_contour(filename, *coord)
+        nb_obs.append(xi.shape[0])
+        for j in range(i + 1, min(window + i + 1, nb_in)):
+            xj, yj = load_contour(filenames[j], *coord)
+            ii, ij = bbox_intersection(xi, yi, xj, yj)
+            m = common_area(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True) > 0.2
+            results.append((i, j, ii[m], ij[m]))
+    if debug_active:
+        print()
+
+    gr = get_group_array(results, nb_obs)
+    logger.info(
+        f"{(gr == NOGROUP).sum()} alone / {len(gr)} obs, {len(unique(gr))} groups"
+    )
+    save(filenames, gr, filename_out)

From c926aeee3104583f79231adea0452f3da6cee7aa Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 24 Jun 2020 11:08:00 +0200
Subject: [PATCH 039/441] black formating

---
 doc/conf.py | 194 +++++++++++++++++++++++++++-------------------------
 1 file changed, 101 insertions(+), 93 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 07cc1db8..898f0a10 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -14,73 +14,75 @@
 
 # import sys
 # import os
+import sphinx_rtd_theme
+
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
-#sys.path.insert(0, os.path.abspath('.'))
+# sys.path.insert(0, os.path.abspath('.'))
 
 # -- General configuration ------------------------------------------------
 
 # If your documentation needs a minimal Sphinx version, state it here.
-#needs_sphinx = '1.0'
+# needs_sphinx = '1.0'
 
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
 # ones.
 extensions = [
-    'sphinx.ext.autodoc',
-    'sphinx.ext.doctest',
-    'sphinx.ext.intersphinx',
-    'sphinx.ext.viewcode',
-    'sphinx_gallery.gen_gallery',
+    "sphinx.ext.autodoc",
+    "sphinx.ext.doctest",
+    "sphinx.ext.intersphinx",
+    "sphinx.ext.viewcode",
+    "sphinx_gallery.gen_gallery",
 ]
 
 sphinx_gallery_conf = {
-    'examples_dirs': '../examples',   # path to your example scripts
-    'gallery_dirs': 'python_module',
-    'capture_repr': ('_repr_html_'),
-    'line_numbers': False,
-    'filename_pattern': '/pet',
-    'binder': {
+    "examples_dirs": "../examples",  # path to your example scripts
+    "gallery_dirs": "python_module",
+    "capture_repr": ("_repr_html_"),
+    "line_numbers": False,
+    "filename_pattern": "/pet",
+    "binder": {
         # Required keys
-        'org': 'AntSimi',
-        'repo': 'py-eddy-tracker',
-        'branch': 'master',
-        'binderhub_url': 'https://mybinder.org',
-        'dependencies': ['../requirements.txt'],
+        "org": "AntSimi",
+        "repo": "py-eddy-tracker",
+        "branch": "master",
+        "binderhub_url": "https://mybinder.org",
+        "dependencies": ["../requirements.txt"],
         # Optional keys
-        'use_jupyter_lab': True
-    }
+        "use_jupyter_lab": True,
+    },
 }
 
 # Add any paths that contain templates here, relative to this directory.
-templates_path = ['.templates']
+templates_path = [".templates"]
 
 # The suffix(es) of source filenames.
 # You can specify multiple suffix as a list of string:
 # source_suffix = ['.rst', '.md']
-source_suffix = '.rst'
+source_suffix = ".rst"
 
 # The encoding of source files.
-#source_encoding = 'utf-8-sig'
+# source_encoding = 'utf-8-sig'
 
 # The master toctree document.
-master_doc = 'index'
+master_doc = "index"
 
 # General information about the project.
-project = u'py-eddy-tracker'
-copyright = u'2019, A. Delepoulle & E. Mason'
-author = u'A. Delepoulle & E. Mason'
+project = u"py-eddy-tracker"
+copyright = u"2019, A. Delepoulle & E. Mason"
+author = u"A. Delepoulle & E. Mason"
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
 # built documents.
 #
 # The short X.Y version.
-version = u'3.0'
+version = u"3.0"
 # The full version, including alpha/beta/rc tags.
-release = u'3.0'
+release = u"3.0"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -91,37 +93,37 @@
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:
-#today = ''
+# today = ''
 # Else, today_fmt is used as the format for a strftime call.
-#today_fmt = '%B %d, %Y'
+# today_fmt = '%B %d, %Y'
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
-exclude_patterns = ['.build']
+exclude_patterns = [".build"]
 
 # The reST default role (used for this markup: `text`) to use for all
 # documents.
-#default_role = None
+# default_role = None
 
 # If true, '()' will be appended to :func: etc. cross-reference text.
-#add_function_parentheses = True
+# add_function_parentheses = True
 
 # If true, the current module name will be prepended to all description
 # unit titles (such as .. function::).
-#add_module_names = True
+# add_module_names = True
 
 # If true, sectionauthor and moduleauthor directives will be shown in the
 # output. They are ignored by default.
-#show_authors = False
+# show_authors = False
 
 # The name of the Pygments (syntax highlighting) style to use.
-pygments_style = 'sphinx'
+pygments_style = "sphinx"
 
 # A list of ignored prefixes for module index sorting.
-#modindex_common_prefix = []
+# modindex_common_prefix = []
 
 # If true, keep warnings as "system message" paragraphs in the built documents.
-#keep_warnings = False
+# keep_warnings = False
 
 # If true, `todo` and `todoList` produce output, else they produce nothing.
 todo_include_todos = False
@@ -131,144 +133,145 @@
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-import sphinx_rtd_theme
 html_theme = "sphinx_rtd_theme"
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
 # documentation.
-#html_theme_options = {}
+# html_theme_options = {}
 
 # Add any paths that contain custom themes here, relative to this directory.
 html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
 
 # The name for this set of Sphinx documents.  If None, it defaults to
 # "<project> v<release> documentation".
-#html_title = None
+# html_title = None
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
-#html_short_title = None
+# html_short_title = None
 
 # The name of an image file (relative to this directory) to place at the top
 # of the sidebar.
-html_logo = '../share/png/logo.png'
+html_logo = "../share/png/logo.png"
 
 # The name of an image file (relative to this directory) to use as a favicon of
 # the docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
 # pixels large.
-#html_favicon = None
+# html_favicon = None
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['.static']
+html_static_path = [".static"]
 
 # Add any extra paths that contain custom files (such as robots.txt or
 # .htaccess) here, relative to this directory. These files are copied
 # directly to the root of the documentation.
-#html_extra_path = []
+# html_extra_path = []
 
 # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
 # using the given strftime format.
-#html_last_updated_fmt = '%b %d, %Y'
+# html_last_updated_fmt = '%b %d, %Y'
 
 # If true, SmartyPants will be used to convert quotes and dashes to
 # typographically correct entities.
-#html_use_smartypants = True
+# html_use_smartypants = True
 
 # Custom sidebar templates, maps document names to template names.
-#html_sidebars = {}
+# html_sidebars = {}
 
 # Additional templates that should be rendered to pages, maps page names to
 # template names.
-#html_additional_pages = {}
+# html_additional_pages = {}
 
 # If false, no module index is generated.
-#html_domain_indices = True
+# html_domain_indices = True
 
 # If false, no index is generated.
-#html_use_index = True
+# html_use_index = True
 
 # If true, the index is split into individual pages for each letter.
-#html_split_index = False
+# html_split_index = False
 
 # If true, links to the reST sources are added to the pages.
-#html_show_sourcelink = True
+# html_show_sourcelink = True
 
 # If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-#html_show_sphinx = True
+# html_show_sphinx = True
 
 # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-#html_show_copyright = True
+# html_show_copyright = True
 
 # If true, an OpenSearch description file will be output, and all pages will
 # contain a <link> tag referring to it.  The value of this option must be the
 # base URL from which the finished HTML is served.
-#html_use_opensearch = ''
+# html_use_opensearch = ''
 
 # This is the file name suffix for HTML files (e.g. ".xhtml").
-#html_file_suffix = None
+# html_file_suffix = None
 
 # Language to be used for generating the HTML full-text search index.
 # Sphinx supports the following languages:
 #   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
 #   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-#html_search_language = 'en'
+# html_search_language = 'en'
 
 # A dictionary with options for the search language support, empty by default.
 # Now only 'ja' uses this config value
-#html_search_options = {'type': 'default'}
+# html_search_options = {'type': 'default'}
 
 # The name of a javascript file (relative to the configuration directory) that
 # implements a search results scorer. If empty, the default will be used.
-#html_search_scorer = 'scorer.js'
+# html_search_scorer = 'scorer.js'
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'py-eddy-trackerdoc'
+htmlhelp_basename = "py-eddy-trackerdoc"
 
 # -- Options for LaTeX output ---------------------------------------------
 
 latex_elements = {
-# The paper size ('letterpaper' or 'a4paper').
-#'papersize': 'letterpaper',
-
-# The font size ('10pt', '11pt' or '12pt').
-#'pointsize': '10pt',
-
-# Additional stuff for the LaTeX preamble.
-#'preamble': '',
-
-# Latex figure (float) alignment
-#'figure_align': 'htbp',
+    # The paper size ('letterpaper' or 'a4paper').
+    # 'papersize': 'letterpaper',
+    # The font size ('10pt', '11pt' or '12pt').
+    # 'pointsize': '10pt',
+    # Additional stuff for the LaTeX preamble.
+    # 'preamble': '',
+    # Latex figure (float) alignment
+    # 'figure_align': 'htbp',
 }
 
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'py-eddy-tracker.tex', u'py-eddy-tracker Documentation',
-     u'A. Delepoulle \\& E. Mason', 'manual'),
+    (
+        master_doc,
+        "py-eddy-tracker.tex",
+        u"py-eddy-tracker Documentation",
+        u"A. Delepoulle \\& E. Mason",
+        "manual",
+    ),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
 # the title page.
-#latex_logo = None
+# latex_logo = None
 
 # For "manual" documents, if this is true, then toplevel headings are parts,
 # not chapters.
-#latex_use_parts = False
+# latex_use_parts = False
 
 # If true, show page references after internal links.
-#latex_show_pagerefs = False
+# latex_show_pagerefs = False
 
 # If true, show URL addresses after external links.
-#latex_show_urls = False
+# latex_show_urls = False
 
 # Documents to append as an appendix to all manuals.
-#latex_appendices = []
+# latex_appendices = []
 
 # If false, no module index is generated.
-#latex_domain_indices = True
+# latex_domain_indices = True
 
 
 # -- Options for manual page output ---------------------------------------
@@ -276,12 +279,11 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, 'py-eddy-tracker', u'py-eddy-tracker Documentation',
-     [author], 1)
+    (master_doc, "py-eddy-tracker", u"py-eddy-tracker Documentation", [author], 1)
 ]
 
 # If true, show URL addresses after external links.
-#man_show_urls = False
+# man_show_urls = False
 
 
 # -- Options for Texinfo output -------------------------------------------
@@ -290,23 +292,29 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'py-eddy-tracker', u'py-eddy-tracker Documentation',
-     author, 'py-eddy-tracker', 'One line description of project.',
-     'Miscellaneous'),
+    (
+        master_doc,
+        "py-eddy-tracker",
+        u"py-eddy-tracker Documentation",
+        author,
+        "py-eddy-tracker",
+        "One line description of project.",
+        "Miscellaneous",
+    ),
 ]
 
 # Documents to append as an appendix to all manuals.
-#texinfo_appendices = []
+# texinfo_appendices = []
 
 # If false, no module index is generated.
-#texinfo_domain_indices = True
+# texinfo_domain_indices = True
 
 # How to display URL addresses: 'footnote', 'no', or 'inline'.
-#texinfo_show_urls = 'footnote'
+# texinfo_show_urls = 'footnote'
 
 # If true, do not generate a @detailmenu in the "Top" node's menu.
-#texinfo_no_detailmenu = False
+# texinfo_no_detailmenu = False
 
 
 # Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {'https://docs.python.org/': None}
+intersphinx_mapping = {"https://docs.python.org/": None}

From 683e9b25a7c412477c99f9fd8b13c53c2a51e91b Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 24 Jun 2020 11:10:42 +0200
Subject: [PATCH 040/441] Create python-publish.yml

---
 .github/workflows/python-publish.yml | 31 ++++++++++++++++++++++++++++
 1 file changed, 31 insertions(+)
 create mode 100644 .github/workflows/python-publish.yml

diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
new file mode 100644
index 00000000..4e1ef42d
--- /dev/null
+++ b/.github/workflows/python-publish.yml
@@ -0,0 +1,31 @@
+# This workflows will upload a Python Package using Twine when a release is created
+# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
+
+name: Upload Python Package
+
+on:
+  release:
+    types: [created]
+
+jobs:
+  deploy:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.x'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install setuptools wheel twine
+    - name: Build and publish
+      env:
+        TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
+        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
+      run: |
+        python setup.py sdist bdist_wheel
+        twine upload dist/*

From 1b0d082f4d9895fa12039049c79bb267538d376a Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 25 Jun 2020 09:44:26 +0200
Subject: [PATCH 041/441] add version system

---
 .gitattributes                  |    1 +
 MANIFEST.in                     |    7 +
 setup.cfg                       |   12 +
 setup.py                        |    9 +-
 src/py_eddy_tracker/__init__.py |    4 +
 src/py_eddy_tracker/_version.py |  520 +++++++++
 versioneer.py                   | 1822 +++++++++++++++++++++++++++++++
 7 files changed, 2374 insertions(+), 1 deletion(-)
 create mode 100644 .gitattributes
 create mode 100644 MANIFEST.in
 create mode 100644 setup.cfg
 create mode 100644 src/py_eddy_tracker/_version.py
 create mode 100644 versioneer.py

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..50fae087
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1 @@
+src/py_eddy_tracker/_version.py export-subst
diff --git a/MANIFEST.in b/MANIFEST.in
new file mode 100644
index 00000000..926c57af
--- /dev/null
+++ b/MANIFEST.in
@@ -0,0 +1,7 @@
+include README.md
+include COPYING
+include requirements.txt
+graft is_number
+recursive-exclude * *.py[co]
+include versioneer.py
+include src/py_eddy_tracker/_version.py
diff --git a/setup.cfg b/setup.cfg
new file mode 100644
index 00000000..f169d5f0
--- /dev/null
+++ b/setup.cfg
@@ -0,0 +1,12 @@
+[flake8]
+ignore =
+    E203, # whitespace before ':'
+    W503,  # line break before binary operator
+
+[versioneer]
+VCS = git
+style = pep440
+versionfile_source = src/py_eddy_tracker/_version.py
+versionfile_build = src/py_eddy_tracker/_version.py
+tag_prefix =
+parentdir_prefix =
diff --git a/setup.py b/setup.py
index 11e47f31..a37fa6bb 100644
--- a/setup.py
+++ b/setup.py
@@ -1,10 +1,17 @@
 # -*- coding: utf-8 -*-
+import versioneer
 from setuptools import setup, find_packages
 
+with open("README.md", "r") as fh:
+    long_description = fh.read()
+
 setup(
     name="pyEddyTracker",
-    version="3.0.0",
+    version=versioneer.get_version(),
+    cmdclass=versioneer.get_cmdclass(),
     description="Py-Eddy-Tracker libraries",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
     classifiers=[
         "Development Status :: 3 - Alpha",
         "Topic :: Scientific/Engineering :: Physics",
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 61363349..4f14c7d6 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -588,3 +588,7 @@ def parse_args(self, *args, **kwargs):
     VAR_DESCR_inv[VAR_DESCR[key]["nc_name"]] = key
     for key_old in VAR_DESCR[key].get("old_nc_name", list()):
         VAR_DESCR_inv[key_old] = key
+
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
diff --git a/src/py_eddy_tracker/_version.py b/src/py_eddy_tracker/_version.py
new file mode 100644
index 00000000..aadd0910
--- /dev/null
+++ b/src/py_eddy_tracker/_version.py
@@ -0,0 +1,520 @@
+
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "$Format:%d$"
+    git_full = "$Format:%H$"
+    git_date = "$Format:%ci$"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "pep440"
+    cfg.tag_prefix = ""
+    cfg.parentdir_prefix = ""
+    cfg.versionfile_source = "src/py_eddy_tracker/_version.py"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
diff --git a/versioneer.py b/versioneer.py
new file mode 100644
index 00000000..64fea1c8
--- /dev/null
+++ b/versioneer.py
@@ -0,0 +1,1822 @@
+
+# Version: 0.18
+
+"""The Versioneer - like a rocketeer, but for versions.
+
+The Versioneer
+==============
+
+* like a rocketeer, but for versions!
+* https://github.com/warner/python-versioneer
+* Brian Warner
+* License: Public Domain
+* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
+* [![Latest Version]
+(https://pypip.in/version/versioneer/badge.svg?style=flat)
+](https://pypi.python.org/pypi/versioneer/)
+* [![Build Status]
+(https://travis-ci.org/warner/python-versioneer.png?branch=master)
+](https://travis-ci.org/warner/python-versioneer)
+
+This is a tool for managing a recorded version number in distutils-based
+python projects. The goal is to remove the tedious and error-prone "update
+the embedded version string" step from your release process. Making a new
+release should be as easy as recording a new tag in your version-control
+system, and maybe making new tarballs.
+
+
+## Quick Install
+
+* `pip install versioneer` to somewhere to your $PATH
+* add a `[versioneer]` section to your setup.cfg (see below)
+* run `versioneer install` in your source tree, commit the results
+
+## Version Identifiers
+
+Source trees come from a variety of places:
+
+* a version-control system checkout (mostly used by developers)
+* a nightly tarball, produced by build automation
+* a snapshot tarball, produced by a web-based VCS browser, like github's
+  "tarball from tag" feature
+* a release tarball, produced by "setup.py sdist", distributed through PyPI
+
+Within each source tree, the version identifier (either a string or a number,
+this tool is format-agnostic) can come from a variety of places:
+
+* ask the VCS tool itself, e.g. "git describe" (for checkouts), which knows
+  about recent "tags" and an absolute revision-id
+* the name of the directory into which the tarball was unpacked
+* an expanded VCS keyword ($Id$, etc)
+* a `_version.py` created by some earlier build step
+
+For released software, the version identifier is closely related to a VCS
+tag. Some projects use tag names that include more than just the version
+string (e.g. "myproject-1.2" instead of just "1.2"), in which case the tool
+needs to strip the tag prefix to extract the version identifier. For
+unreleased software (between tags), the version identifier should provide
+enough information to help developers recreate the same tree, while also
+giving them an idea of roughly how old the tree is (after version 1.2, before
+version 1.3). Many VCS systems can report a description that captures this,
+for example `git describe --tags --dirty --always` reports things like
+"0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
+0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
+uncommitted changes.
+
+The version identifier is used for multiple purposes:
+
+* to allow the module to self-identify its version: `myproject.__version__`
+* to choose a name and prefix for a 'setup.py sdist' tarball
+
+## Theory of Operation
+
+Versioneer works by adding a special `_version.py` file into your source
+tree, where your `__init__.py` can import it. This `_version.py` knows how to
+dynamically ask the VCS tool for version information at import time.
+
+`_version.py` also contains `$Revision$` markers, and the installation
+process marks `_version.py` to have this marker rewritten with a tag name
+during the `git archive` command. As a result, generated tarballs will
+contain enough information to get the proper version.
+
+To allow `setup.py` to compute a version too, a `versioneer.py` is added to
+the top level of your source tree, next to `setup.py` and the `setup.cfg`
+that configures it. This overrides several distutils/setuptools commands to
+compute the version when invoked, and changes `setup.py build` and `setup.py
+sdist` to replace `_version.py` with a small static file that contains just
+the generated version data.
+
+## Installation
+
+See [INSTALL.md](./INSTALL.md) for detailed installation instructions.
+
+## Version-String Flavors
+
+Code which uses Versioneer can learn about its version string at runtime by
+importing `_version` from your main `__init__.py` file and running the
+`get_versions()` function. From the "outside" (e.g. in `setup.py`), you can
+import the top-level `versioneer.py` and run `get_versions()`.
+
+Both functions return a dictionary with different flavors of version
+information:
+
+* `['version']`: A condensed version string, rendered using the selected
+  style. This is the most commonly used value for the project's version
+  string. The default "pep440" style yields strings like `0.11`,
+  `0.11+2.g1076c97`, or `0.11+2.g1076c97.dirty`. See the "Styles" section
+  below for alternative styles.
+
+* `['full-revisionid']`: detailed revision identifier. For Git, this is the
+  full SHA1 commit id, e.g. "1076c978a8d3cfc70f408fe5974aa6c092c949ac".
+
+* `['date']`: Date and time of the latest `HEAD` commit. For Git, it is the
+  commit date in ISO 8601 format. This will be None if the date is not
+  available.
+
+* `['dirty']`: a boolean, True if the tree has uncommitted changes. Note that
+  this is only accurate if run in a VCS checkout, otherwise it is likely to
+  be False or None
+
+* `['error']`: if the version string could not be computed, this will be set
+  to a string describing the problem, otherwise it will be None. It may be
+  useful to throw an exception in setup.py if this is set, to avoid e.g.
+  creating tarballs with a version string of "unknown".
+
+Some variants are more useful than others. Including `full-revisionid` in a
+bug report should allow developers to reconstruct the exact code being tested
+(or indicate the presence of local changes that should be shared with the
+developers). `version` is suitable for display in an "about" box or a CLI
+`--version` output: it can be easily compared against release notes and lists
+of bugs fixed in various releases.
+
+The installer adds the following text to your `__init__.py` to place a basic
+version in `YOURPROJECT.__version__`:
+
+    from ._version import get_versions
+    __version__ = get_versions()['version']
+    del get_versions
+
+## Styles
+
+The setup.cfg `style=` configuration controls how the VCS information is
+rendered into a version string.
+
+The default style, "pep440", produces a PEP440-compliant string, equal to the
+un-prefixed tag name for actual releases, and containing an additional "local
+version" section with more detail for in-between builds. For Git, this is
+TAG[+DISTANCE.gHEX[.dirty]] , using information from `git describe --tags
+--dirty --always`. For example "0.11+2.g1076c97.dirty" indicates that the
+tree is like the "1076c97" commit but has uncommitted changes (".dirty"), and
+that this commit is two revisions ("+2") beyond the "0.11" tag. For released
+software (exactly equal to a known tag), the identifier will only contain the
+stripped tag, e.g. "0.11".
+
+Other styles are available. See [details.md](details.md) in the Versioneer
+source tree for descriptions.
+
+## Debugging
+
+Versioneer tries to avoid fatal errors: if something goes wrong, it will tend
+to return a version of "0+unknown". To investigate the problem, run `setup.py
+version`, which will run the version-lookup code in a verbose mode, and will
+display the full contents of `get_versions()` (including the `error` string,
+which may help identify what went wrong).
+
+## Known Limitations
+
+Some situations are known to cause problems for Versioneer. This details the
+most significant ones. More can be found on Github
+[issues page](https://github.com/warner/python-versioneer/issues).
+
+### Subprojects
+
+Versioneer has limited support for source trees in which `setup.py` is not in
+the root directory (e.g. `setup.py` and `.git/` are *not* siblings). The are
+two common reasons why `setup.py` might not be in the root:
+
+* Source trees which contain multiple subprojects, such as
+  [Buildbot](https://github.com/buildbot/buildbot), which contains both
+  "master" and "slave" subprojects, each with their own `setup.py`,
+  `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
+  distributions (and upload multiple independently-installable tarballs).
+* Source trees whose main purpose is to contain a C library, but which also
+  provide bindings to Python (and perhaps other langauges) in subdirectories.
+
+Versioneer will look for `.git` in parent directories, and most operations
+should get the right version string. However `pip` and `setuptools` have bugs
+and implementation details which frequently cause `pip install .` from a
+subproject directory to fail to find a correct version string (so it usually
+defaults to `0+unknown`).
+
+`pip install --editable .` should work correctly. `setup.py install` might
+work too.
+
+Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
+some later version.
+
+[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+this issue. The discussion in
+[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+issue from the Versioneer side in more detail.
+[pip PR#3176](https://github.com/pypa/pip/pull/3176) and
+[pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
+pip to let Versioneer work correctly.
+
+Versioneer-0.16 and earlier only looked for a `.git` directory next to the
+`setup.cfg`, so subprojects were completely unsupported with those releases.
+
+### Editable installs with setuptools <= 18.5
+
+`setup.py develop` and `pip install --editable .` allow you to install a
+project into a virtualenv once, then continue editing the source code (and
+test) without re-installing after every change.
+
+"Entry-point scripts" (`setup(entry_points={"console_scripts": ..})`) are a
+convenient way to specify executable scripts that should be installed along
+with the python package.
+
+These both work as expected when using modern setuptools. When using
+setuptools-18.5 or earlier, however, certain operations will cause
+`pkg_resources.DistributionNotFound` errors when running the entrypoint
+script, which must be resolved by re-installing the package. This happens
+when the install happens with one version, then the egg_info data is
+regenerated while a different version is checked out. Many setup.py commands
+cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
+a different virtualenv), so this can be surprising.
+
+[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+this one, but upgrading to a newer version of setuptools should probably
+resolve it.
+
+### Unicode version strings
+
+While Versioneer works (and is continually tested) with both Python 2 and
+Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
+Newer releases probably generate unicode version strings on py2. It's not
+clear that this is wrong, but it may be surprising for applications when then
+write these strings to a network connection or include them in bytes-oriented
+APIs like cryptographic checksums.
+
+[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
+this question.
+
+
+## Updating Versioneer
+
+To upgrade your project to a new release of Versioneer, do the following:
+
+* install the new Versioneer (`pip install -U versioneer` or equivalent)
+* edit `setup.cfg`, if necessary, to include any new configuration settings
+  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install` in your source tree, to replace
+  `SRC/_version.py`
+* commit any changed files
+
+## Future Directions
+
+This tool is designed to make it easily extended to other version-control
+systems: all VCS-specific components are in separate directories like
+src/git/ . The top-level `versioneer.py` script is assembled from these
+components by running make-versioneer.py . In the future, make-versioneer.py
+will take a VCS name as an argument, and will construct a version of
+`versioneer.py` that is specific to the given VCS. It might also take the
+configuration arguments that are currently provided manually during
+installation by editing setup.py . Alternatively, it might go the other
+direction and include code from all supported VCS systems, reducing the
+number of intermediate scripts.
+
+
+## License
+
+To make Versioneer easier to embed, all its code is dedicated to the public
+domain. The `_version.py` that it creates is also in the public domain.
+Specifically, both are released under the Creative Commons "Public Domain
+Dedication" license (CC0-1.0), as described in
+https://creativecommons.org/publicdomain/zero/1.0/ .
+
+"""
+
+from __future__ import print_function
+try:
+    import configparser
+except ImportError:
+    import ConfigParser as configparser
+import errno
+import json
+import os
+import re
+import subprocess
+import sys
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_root():
+    """Get the project root directory.
+
+    We require that all commands are run from the project root, i.e. the
+    directory that contains setup.py, setup.cfg, and versioneer.py .
+    """
+    root = os.path.realpath(os.path.abspath(os.getcwd()))
+    setup_py = os.path.join(root, "setup.py")
+    versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        # allow 'python path/to/setup.py COMMAND'
+        root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
+        setup_py = os.path.join(root, "setup.py")
+        versioneer_py = os.path.join(root, "versioneer.py")
+    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+        err = ("Versioneer was unable to run the project root directory. "
+               "Versioneer requires setup.py to be executed from "
+               "its immediate directory (like 'python setup.py COMMAND'), "
+               "or in a way that lets it use sys.argv[0] to find the root "
+               "(like 'python path/to/setup.py COMMAND').")
+        raise VersioneerBadRootError(err)
+    try:
+        # Certain runtime workflows (setup.py install/develop in a setuptools
+        # tree) execute all dependencies in a single python process, so
+        # "versioneer" may be imported multiple times, and python's shared
+        # module-import table will cache the first one. So we can't use
+        # os.path.dirname(__file__), as that will find whichever
+        # versioneer.py was first imported, even in later projects.
+        me = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
+        if me_dir != vsr_dir:
+            print("Warning: build in %s is using versioneer.py from %s"
+                  % (os.path.dirname(me), versioneer_py))
+    except NameError:
+        pass
+    return root
+
+
+def get_config_from_root(root):
+    """Read the project setup.cfg file to determine Versioneer config."""
+    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # configparser.NoSectionError (if it lacks a [versioneer] section), or
+    # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
+    # the top of versioneer.py for instructions on writing your setup.cfg .
+    setup_cfg = os.path.join(root, "setup.cfg")
+    parser = configparser.SafeConfigParser()
+    with open(setup_cfg, "r") as f:
+        parser.readfp(f)
+    VCS = parser.get("versioneer", "VCS")  # mandatory
+
+    def get(parser, name):
+        if parser.has_option("versioneer", name):
+            return parser.get("versioneer", name)
+        return None
+    cfg = VersioneerConfig()
+    cfg.VCS = VCS
+    cfg.style = get(parser, "style") or ""
+    cfg.versionfile_source = get(parser, "versionfile_source")
+    cfg.versionfile_build = get(parser, "versionfile_build")
+    cfg.tag_prefix = get(parser, "tag_prefix")
+    if cfg.tag_prefix in ("''", '""'):
+        cfg.tag_prefix = ""
+    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
+    cfg.verbose = get(parser, "verbose")
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+# these dictionaries contain VCS-specific tools
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %s" % dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %s" % (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %s (error)" % dispcmd)
+            print("stdout was %s" % stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+LONG_VERSION_PY['git'] = '''
+# This file helps to compute a version number in source trees obtained from
+# git-archive tarball (such as those provided by githubs download-from-tag
+# feature). Distribution tarballs (built by setup.py sdist) and build
+# directories (produced by setup.py build) will contain a much shorter file
+# that just contains the computed version number.
+
+# This file is released into the public domain. Generated by
+# versioneer-0.18 (https://github.com/warner/python-versioneer)
+
+"""Git implementation of _version.py."""
+
+import errno
+import os
+import re
+import subprocess
+import sys
+
+
+def get_keywords():
+    """Get the keywords needed to look up the version information."""
+    # these strings will be replaced by git during git-archive.
+    # setup.py/versioneer.py will grep for the variable names, so they must
+    # each be defined on a line of their own. _version.py will just call
+    # get_keywords().
+    git_refnames = "%(DOLLAR)sFormat:%%d%(DOLLAR)s"
+    git_full = "%(DOLLAR)sFormat:%%H%(DOLLAR)s"
+    git_date = "%(DOLLAR)sFormat:%%ci%(DOLLAR)s"
+    keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
+    return keywords
+
+
+class VersioneerConfig:
+    """Container for Versioneer configuration parameters."""
+
+
+def get_config():
+    """Create, populate and return the VersioneerConfig() object."""
+    # these strings are filled in when 'setup.py versioneer' creates
+    # _version.py
+    cfg = VersioneerConfig()
+    cfg.VCS = "git"
+    cfg.style = "%(STYLE)s"
+    cfg.tag_prefix = "%(TAG_PREFIX)s"
+    cfg.parentdir_prefix = "%(PARENTDIR_PREFIX)s"
+    cfg.versionfile_source = "%(VERSIONFILE_SOURCE)s"
+    cfg.verbose = False
+    return cfg
+
+
+class NotThisMethod(Exception):
+    """Exception raised if a method is not valid for the current scenario."""
+
+
+LONG_VERSION_PY = {}
+HANDLERS = {}
+
+
+def register_vcs_handler(vcs, method):  # decorator
+    """Decorator to mark a method as the handler for a particular VCS."""
+    def decorate(f):
+        """Store f in HANDLERS[vcs][method]."""
+        if vcs not in HANDLERS:
+            HANDLERS[vcs] = {}
+        HANDLERS[vcs][method] = f
+        return f
+    return decorate
+
+
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
+                env=None):
+    """Call the given command(s)."""
+    assert isinstance(commands, list)
+    p = None
+    for c in commands:
+        try:
+            dispcmd = str([c] + args)
+            # remember shell=False, so use git.cmd on windows, not just git
+            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
+                                 stdout=subprocess.PIPE,
+                                 stderr=(subprocess.PIPE if hide_stderr
+                                         else None))
+            break
+        except EnvironmentError:
+            e = sys.exc_info()[1]
+            if e.errno == errno.ENOENT:
+                continue
+            if verbose:
+                print("unable to run %%s" %% dispcmd)
+                print(e)
+            return None, None
+    else:
+        if verbose:
+            print("unable to find command, tried %%s" %% (commands,))
+        return None, None
+    stdout = p.communicate()[0].strip()
+    if sys.version_info[0] >= 3:
+        stdout = stdout.decode()
+    if p.returncode != 0:
+        if verbose:
+            print("unable to run %%s (error)" %% dispcmd)
+            print("stdout was %%s" %% stdout)
+        return None, p.returncode
+    return stdout, p.returncode
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %%s but none started with prefix %%s" %%
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %%d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%%s', no digits" %% ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %%s" %% ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %%s" %% r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %%s not under git control" %% root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%%s*" %% tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%%s'"
+                               %% describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%%s' doesn't start with prefix '%%s'"
+                print(fmt %% (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%%s' doesn't start with prefix '%%s'"
+                               %% (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%%d" %% pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%%d" %% pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%%d-g%%s" %% (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%%s'" %% style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+def get_versions():
+    """Get version information or return default if unable to do so."""
+    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
+    # __file__, we can work backwards from there to the root. Some
+    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
+    # case we can only use expanded keywords.
+
+    cfg = get_config()
+    verbose = cfg.verbose
+
+    try:
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
+    except NotThisMethod:
+        pass
+
+    try:
+        root = os.path.realpath(__file__)
+        # versionfile_source is the relative path from the top of the source
+        # tree (where the .git directory might live) to this file. Invert
+        # this to find the root from __file__.
+        for i in cfg.versionfile_source.split('/'):
+            root = os.path.dirname(root)
+    except NameError:
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
+
+    try:
+        pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
+        return render(pieces, cfg.style)
+    except NotThisMethod:
+        pass
+
+    try:
+        if cfg.parentdir_prefix:
+            return versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+    except NotThisMethod:
+        pass
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}
+'''
+
+
+@register_vcs_handler("git", "get_keywords")
+def git_get_keywords(versionfile_abs):
+    """Extract version information from the given file."""
+    # the code embedded in _version.py can just fetch the value of these
+    # keywords. When used from setup.py, we don't want to import _version.py,
+    # so we do it with a regexp instead. This function is not used from
+    # _version.py.
+    keywords = {}
+    try:
+        f = open(versionfile_abs, "r")
+        for line in f.readlines():
+            if line.strip().startswith("git_refnames ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["refnames"] = mo.group(1)
+            if line.strip().startswith("git_full ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["full"] = mo.group(1)
+            if line.strip().startswith("git_date ="):
+                mo = re.search(r'=\s*"(.*)"', line)
+                if mo:
+                    keywords["date"] = mo.group(1)
+        f.close()
+    except EnvironmentError:
+        pass
+    return keywords
+
+
+@register_vcs_handler("git", "keywords")
+def git_versions_from_keywords(keywords, tag_prefix, verbose):
+    """Get version information from git keywords."""
+    if not keywords:
+        raise NotThisMethod("no keywords at all, weird")
+    date = keywords.get("date")
+    if date is not None:
+        # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
+        # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
+        # -like" string, which we must then edit to make compliant), because
+        # it's been around since git-1.5.3, and it's too difficult to
+        # discover which version we're using, or to work around using an
+        # older one.
+        date = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+    refnames = keywords["refnames"].strip()
+    if refnames.startswith("$Format"):
+        if verbose:
+            print("keywords are unexpanded, not using")
+        raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
+    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
+    # just "foo-1.0". If we see a "tag: " prefix, prefer those.
+    TAG = "tag: "
+    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    if not tags:
+        # Either we're using git < 1.8.3, or there really are no tags. We use
+        # a heuristic: assume all version tags have a digit. The old git %d
+        # expansion behaves like git log --decorate=short and strips out the
+        # refs/heads/ and refs/tags/ prefixes that would let us distinguish
+        # between branches and tags. By ignoring refnames without digits, we
+        # filter out many common branch names like "release" and
+        # "stabilization", as well as "HEAD" and "master".
+        tags = set([r for r in refs if re.search(r'\d', r)])
+        if verbose:
+            print("discarding '%s', no digits" % ",".join(refs - tags))
+    if verbose:
+        print("likely tags: %s" % ",".join(sorted(tags)))
+    for ref in sorted(tags):
+        # sorting will prefer e.g. "2.0" over "2.0rc1"
+        if ref.startswith(tag_prefix):
+            r = ref[len(tag_prefix):]
+            if verbose:
+                print("picking %s" % r)
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
+    # no suitable tags, so version is "0+unknown", but full hex is still there
+    if verbose:
+        print("no suitable tags, using unknown + full revision id")
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
+
+
+@register_vcs_handler("git", "pieces_from_vcs")
+def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+    """Get version from 'git describe' in the root of the source tree.
+
+    This only gets called if the git-archive 'subst' keywords were *not*
+    expanded, and _version.py hasn't already been rewritten with a short
+    version string, meaning we're inside a checked out source tree.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                          hide_stderr=True)
+    if rc != 0:
+        if verbose:
+            print("Directory %s not under git control" % root)
+        raise NotThisMethod("'git rev-parse --git-dir' returned error")
+
+    # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
+    # if there isn't one, this yields HEX[-dirty] (no NUM)
+    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
+                                          "--always", "--long",
+                                          "--match", "%s*" % tag_prefix],
+                                   cwd=root)
+    # --long was added in git-1.5.5
+    if describe_out is None:
+        raise NotThisMethod("'git describe' failed")
+    describe_out = describe_out.strip()
+    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    if full_out is None:
+        raise NotThisMethod("'git rev-parse' failed")
+    full_out = full_out.strip()
+
+    pieces = {}
+    pieces["long"] = full_out
+    pieces["short"] = full_out[:7]  # maybe improved later
+    pieces["error"] = None
+
+    # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
+    # TAG might have hyphens.
+    git_describe = describe_out
+
+    # look for -dirty suffix
+    dirty = git_describe.endswith("-dirty")
+    pieces["dirty"] = dirty
+    if dirty:
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
+
+    # now we have TAG-NUM-gHEX or HEX
+
+    if "-" in git_describe:
+        # TAG-NUM-gHEX
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        if not mo:
+            # unparseable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
+            return pieces
+
+        # tag
+        full_tag = mo.group(1)
+        if not full_tag.startswith(tag_prefix):
+            if verbose:
+                fmt = "tag '%s' doesn't start with prefix '%s'"
+                print(fmt % (full_tag, tag_prefix))
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
+            return pieces
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+
+        # distance: number of commits since tag
+        pieces["distance"] = int(mo.group(2))
+
+        # commit: short hex revision ID
+        pieces["short"] = mo.group(3)
+
+    else:
+        # HEX: no tags
+        pieces["closest-tag"] = None
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
+                                    cwd=root)
+        pieces["distance"] = int(count_out)  # total number of commits
+
+    # commit date: see ISO-8601 comment in git_versions_from_keywords()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
+                       cwd=root)[0].strip()
+    pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
+
+    return pieces
+
+
+def do_vcs_install(manifest_in, versionfile_source, ipy):
+    """Git-specific installation logic for Versioneer.
+
+    For Git, this means creating/changing .gitattributes to mark _version.py
+    for export-subst keyword substitution.
+    """
+    GITS = ["git"]
+    if sys.platform == "win32":
+        GITS = ["git.cmd", "git.exe"]
+    files = [manifest_in, versionfile_source]
+    if ipy:
+        files.append(ipy)
+    try:
+        me = __file__
+        if me.endswith(".pyc") or me.endswith(".pyo"):
+            me = os.path.splitext(me)[0] + ".py"
+        versioneer_file = os.path.relpath(me)
+    except NameError:
+        versioneer_file = "versioneer.py"
+    files.append(versioneer_file)
+    present = False
+    try:
+        f = open(".gitattributes", "r")
+        for line in f.readlines():
+            if line.strip().startswith(versionfile_source):
+                if "export-subst" in line.strip().split()[1:]:
+                    present = True
+        f.close()
+    except EnvironmentError:
+        pass
+    if not present:
+        f = open(".gitattributes", "a+")
+        f.write("%s export-subst\n" % versionfile_source)
+        f.close()
+        files.append(".gitattributes")
+    run_command(GITS, ["add", "--"] + files)
+
+
+def versions_from_parentdir(parentdir_prefix, root, verbose):
+    """Try to determine the version from the parent directory name.
+
+    Source tarballs conventionally unpack into a directory that includes both
+    the project name and a version string. We will also support searching up
+    two directory levels for an appropriately named parent directory
+    """
+    rootdirs = []
+
+    for i in range(3):
+        dirname = os.path.basename(root)
+        if dirname.startswith(parentdir_prefix):
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        else:
+            rootdirs.append(root)
+            root = os.path.dirname(root)  # up a level
+
+    if verbose:
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
+    raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
+
+
+SHORT_VERSION_PY = """
+# This file was generated by 'versioneer.py' (0.18) from
+# revision-control system data, or from the parent directory name of an
+# unpacked source archive. Distribution tarballs contain a pre-generated copy
+# of this file.
+
+import json
+
+version_json = '''
+%s
+'''  # END VERSION_JSON
+
+
+def get_versions():
+    return json.loads(version_json)
+"""
+
+
+def versions_from_file(filename):
+    """Try to determine the version from _version.py if present."""
+    try:
+        with open(filename) as f:
+            contents = f.read()
+    except EnvironmentError:
+        raise NotThisMethod("unable to read _version.py")
+    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
+                   contents, re.M | re.S)
+    if not mo:
+        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
+                       contents, re.M | re.S)
+    if not mo:
+        raise NotThisMethod("no version_json in _version.py")
+    return json.loads(mo.group(1))
+
+
+def write_to_version_file(filename, versions):
+    """Write the given version number to the given _version.py file."""
+    os.unlink(filename)
+    contents = json.dumps(versions, sort_keys=True,
+                          indent=1, separators=(",", ": "))
+    with open(filename, "w") as f:
+        f.write(SHORT_VERSION_PY % contents)
+
+    print("set %s to '%s'" % (filename, versions["version"]))
+
+
+def plus_or_dot(pieces):
+    """Return a + if we don't already have one, else return a ."""
+    if "+" in pieces.get("closest-tag", ""):
+        return "."
+    return "+"
+
+
+def render_pep440(pieces):
+    """Build up version string, with post-release "local version identifier".
+
+    Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
+    get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty
+
+    Exceptions:
+    1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_pre(pieces):
+    """TAG[.post.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post.devDISTANCE
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += ".post.dev%d" % pieces["distance"]
+    else:
+        # exception #1
+        rendered = "0.post.dev%d" % pieces["distance"]
+    return rendered
+
+
+def render_pep440_post(pieces):
+    """TAG[.postDISTANCE[.dev0]+gHEX] .
+
+    The ".dev0" means dirty. Note that .dev0 sorts backwards
+    (a dirty tree will appear "older" than the corresponding clean one),
+    but you shouldn't be releasing software with -dirty anyways.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+    return rendered
+
+
+def render_pep440_old(pieces):
+    """TAG[.postDISTANCE[.dev0]] .
+
+    The ".dev0" means dirty.
+
+    Eexceptions:
+    1: no tags. 0.postDISTANCE[.dev0]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["dirty"]:
+                rendered += ".dev0"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["dirty"]:
+            rendered += ".dev0"
+    return rendered
+
+
+def render_git_describe(pieces):
+    """TAG[-DISTANCE-gHEX][-dirty].
+
+    Like 'git describe --tags --dirty --always'.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"]:
+            rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render_git_describe_long(pieces):
+    """TAG-DISTANCE-gHEX[-dirty].
+
+    Like 'git describe --tags --dirty --always -long'.
+    The distance/hash is unconditional.
+
+    Exceptions:
+    1: no tags. HEX[-dirty]  (note: no 'g' prefix)
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        rendered += "-%d-g%s" % (pieces["distance"], pieces["short"])
+    else:
+        # exception #1
+        rendered = pieces["short"]
+    if pieces["dirty"]:
+        rendered += "-dirty"
+    return rendered
+
+
+def render(pieces, style):
+    """Render the given version pieces into the requested style."""
+    if pieces["error"]:
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
+
+    if not style or style == "default":
+        style = "pep440"  # the default
+
+    if style == "pep440":
+        rendered = render_pep440(pieces)
+    elif style == "pep440-pre":
+        rendered = render_pep440_pre(pieces)
+    elif style == "pep440-post":
+        rendered = render_pep440_post(pieces)
+    elif style == "pep440-old":
+        rendered = render_pep440_old(pieces)
+    elif style == "git-describe":
+        rendered = render_git_describe(pieces)
+    elif style == "git-describe-long":
+        rendered = render_git_describe_long(pieces)
+    else:
+        raise ValueError("unknown style '%s'" % style)
+
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
+
+
+class VersioneerBadRootError(Exception):
+    """The project root directory is unknown or missing key files."""
+
+
+def get_versions(verbose=False):
+    """Get the project version from whatever source is available.
+
+    Returns dict with two keys: 'version' and 'full'.
+    """
+    if "versioneer" in sys.modules:
+        # see the discussion in cmdclass.py:get_cmdclass()
+        del sys.modules["versioneer"]
+
+    root = get_root()
+    cfg = get_config_from_root(root)
+
+    assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
+    handlers = HANDLERS.get(cfg.VCS)
+    assert handlers, "unrecognized VCS '%s'" % cfg.VCS
+    verbose = verbose or cfg.verbose
+    assert cfg.versionfile_source is not None, \
+        "please set versioneer.versionfile_source"
+    assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
+
+    versionfile_abs = os.path.join(root, cfg.versionfile_source)
+
+    # extract version from first of: _version.py, VCS command (e.g. 'git
+    # describe'), parentdir. This is meant to work for developers using a
+    # source checkout, for users of a tarball created by 'setup.py sdist',
+    # and for users of a tarball/zipball created by 'git archive' or github's
+    # download-from-tag feature or the equivalent in other VCSes.
+
+    get_keywords_f = handlers.get("get_keywords")
+    from_keywords_f = handlers.get("keywords")
+    if get_keywords_f and from_keywords_f:
+        try:
+            keywords = get_keywords_f(versionfile_abs)
+            ver = from_keywords_f(keywords, cfg.tag_prefix, verbose)
+            if verbose:
+                print("got version from expanded keyword %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        ver = versions_from_file(versionfile_abs)
+        if verbose:
+            print("got version from file %s %s" % (versionfile_abs, ver))
+        return ver
+    except NotThisMethod:
+        pass
+
+    from_vcs_f = handlers.get("pieces_from_vcs")
+    if from_vcs_f:
+        try:
+            pieces = from_vcs_f(cfg.tag_prefix, root, verbose)
+            ver = render(pieces, cfg.style)
+            if verbose:
+                print("got version from VCS %s" % ver)
+            return ver
+        except NotThisMethod:
+            pass
+
+    try:
+        if cfg.parentdir_prefix:
+            ver = versions_from_parentdir(cfg.parentdir_prefix, root, verbose)
+            if verbose:
+                print("got version from parentdir %s" % ver)
+            return ver
+    except NotThisMethod:
+        pass
+
+    if verbose:
+        print("unable to compute version")
+
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None, "error": "unable to compute version",
+            "date": None}
+
+
+def get_version():
+    """Get the short version string for this project."""
+    return get_versions()["version"]
+
+
+def get_cmdclass():
+    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+    if "versioneer" in sys.modules:
+        del sys.modules["versioneer"]
+        # this fixes the "python setup.py develop" case (also 'install' and
+        # 'easy_install .'), in which subdependencies of the main project are
+        # built (using setup.py bdist_egg) in the same python process. Assume
+        # a main project A and a dependency B, which use different versions
+        # of Versioneer. A's setup.py imports A's Versioneer, leaving it in
+        # sys.modules by the time B's setup.py is executed, causing B to run
+        # with the wrong versioneer. Setuptools wraps the sub-dep builds in a
+        # sandbox that restores sys.modules to it's pre-build state, so the
+        # parent is protected against the child's "import versioneer". By
+        # removing ourselves from sys.modules here, before the child build
+        # happens, we protect the child from the parent's versioneer too.
+        # Also see https://github.com/warner/python-versioneer/issues/52
+
+    cmds = {}
+
+    # we add "version" to both distutils and setuptools
+    from distutils.core import Command
+
+    class cmd_version(Command):
+        description = "report generated version string"
+        user_options = []
+        boolean_options = []
+
+        def initialize_options(self):
+            pass
+
+        def finalize_options(self):
+            pass
+
+        def run(self):
+            vers = get_versions(verbose=True)
+            print("Version: %s" % vers["version"])
+            print(" full-revisionid: %s" % vers.get("full-revisionid"))
+            print(" dirty: %s" % vers.get("dirty"))
+            print(" date: %s" % vers.get("date"))
+            if vers["error"]:
+                print(" error: %s" % vers["error"])
+    cmds["version"] = cmd_version
+
+    # we override "build_py" in both distutils and setuptools
+    #
+    # most invocation pathways end up running build_py:
+    #  distutils/build -> build_py
+    #  distutils/install -> distutils/build ->..
+    #  setuptools/bdist_wheel -> distutils/install ->..
+    #  setuptools/bdist_egg -> distutils/install_lib -> build_py
+    #  setuptools/install -> bdist_egg ->..
+    #  setuptools/develop -> ?
+    #  pip install:
+    #   copies source tree to a tempdir before running egg_info/etc
+    #   if .git isn't copied too, 'git describe' will fail
+    #   then does setup.py bdist_wheel, or sometimes setup.py install
+    #  setup.py egg_info -> ?
+
+    # we override different "build_py" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.build_py import build_py as _build_py
+    else:
+        from distutils.command.build_py import build_py as _build_py
+
+    class cmd_build_py(_build_py):
+        def run(self):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_py.run(self)
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if cfg.versionfile_build:
+                target_versionfile = os.path.join(self.build_lib,
+                                                  cfg.versionfile_build)
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+    cmds["build_py"] = cmd_build_py
+
+    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
+        from cx_Freeze.dist import build_exe as _build_exe
+        # nczeczulin reports that py2exe won't like the pep440-style string
+        # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
+        # setup(console=[{
+        #   "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION
+        #   "product_version": versioneer.get_version(),
+        #   ...
+
+        class cmd_build_exe(_build_exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _build_exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["build_exe"] = cmd_build_exe
+        del cmds["build_py"]
+
+    if 'py2exe' in sys.modules:  # py2exe enabled?
+        try:
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+        except ImportError:
+            from py2exe.build_exe import py2exe as _py2exe  # py2
+
+        class cmd_py2exe(_py2exe):
+            def run(self):
+                root = get_root()
+                cfg = get_config_from_root(root)
+                versions = get_versions()
+                target_versionfile = cfg.versionfile_source
+                print("UPDATING %s" % target_versionfile)
+                write_to_version_file(target_versionfile, versions)
+
+                _py2exe.run(self)
+                os.unlink(target_versionfile)
+                with open(cfg.versionfile_source, "w") as f:
+                    LONG = LONG_VERSION_PY[cfg.VCS]
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
+        cmds["py2exe"] = cmd_py2exe
+
+    # we override different "sdist" commands for both environments
+    if "setuptools" in sys.modules:
+        from setuptools.command.sdist import sdist as _sdist
+    else:
+        from distutils.command.sdist import sdist as _sdist
+
+    class cmd_sdist(_sdist):
+        def run(self):
+            versions = get_versions()
+            self._versioneer_generated_versions = versions
+            # unless we update this, the command will keep using the old
+            # version
+            self.distribution.metadata.version = versions["version"]
+            return _sdist.run(self)
+
+        def make_release_tree(self, base_dir, files):
+            root = get_root()
+            cfg = get_config_from_root(root)
+            _sdist.make_release_tree(self, base_dir, files)
+            # now locate _version.py in the new base_dir directory
+            # (remembering that it may be a hardlink) and replace it with an
+            # updated value
+            target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile,
+                                  self._versioneer_generated_versions)
+    cmds["sdist"] = cmd_sdist
+
+    return cmds
+
+
+CONFIG_ERROR = """
+setup.cfg is missing the necessary Versioneer configuration. You need
+a section like:
+
+ [versioneer]
+ VCS = git
+ style = pep440
+ versionfile_source = src/myproject/_version.py
+ versionfile_build = myproject/_version.py
+ tag_prefix =
+ parentdir_prefix = myproject-
+
+You will also need to edit your setup.py to use the results:
+
+ import versioneer
+ setup(version=versioneer.get_version(),
+       cmdclass=versioneer.get_cmdclass(), ...)
+
+Please read the docstring in ./versioneer.py for configuration instructions,
+edit setup.cfg, and re-run the installer or 'python versioneer.py setup'.
+"""
+
+SAMPLE_CONFIG = """
+# See the docstring in versioneer.py for instructions. Note that you must
+# re-run 'versioneer.py setup' after changing this section, and commit the
+# resulting files.
+
+[versioneer]
+#VCS = git
+#style = pep440
+#versionfile_source =
+#versionfile_build =
+#tag_prefix =
+#parentdir_prefix =
+
+"""
+
+INIT_PY_SNIPPET = """
+from ._version import get_versions
+__version__ = get_versions()['version']
+del get_versions
+"""
+
+
+def do_setup():
+    """Main VCS-independent setup function for installing Versioneer."""
+    root = get_root()
+    try:
+        cfg = get_config_from_root(root)
+    except (EnvironmentError, configparser.NoSectionError,
+            configparser.NoOptionError) as e:
+        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
+            print("Adding sample versioneer config to setup.cfg",
+                  file=sys.stderr)
+            with open(os.path.join(root, "setup.cfg"), "a") as f:
+                f.write(SAMPLE_CONFIG)
+        print(CONFIG_ERROR, file=sys.stderr)
+        return 1
+
+    print(" creating %s" % cfg.versionfile_source)
+    with open(cfg.versionfile_source, "w") as f:
+        LONG = LONG_VERSION_PY[cfg.VCS]
+        f.write(LONG % {"DOLLAR": "$",
+                        "STYLE": cfg.style,
+                        "TAG_PREFIX": cfg.tag_prefix,
+                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        })
+
+    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
+                       "__init__.py")
+    if os.path.exists(ipy):
+        try:
+            with open(ipy, "r") as f:
+                old = f.read()
+        except EnvironmentError:
+            old = ""
+        if INIT_PY_SNIPPET not in old:
+            print(" appending to %s" % ipy)
+            with open(ipy, "a") as f:
+                f.write(INIT_PY_SNIPPET)
+        else:
+            print(" %s unmodified" % ipy)
+    else:
+        print(" %s doesn't exist, ok" % ipy)
+        ipy = None
+
+    # Make sure both the top-level "versioneer.py" and versionfile_source
+    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
+    # they'll be copied into source distributions. Pip won't be able to
+    # install the package without this.
+    manifest_in = os.path.join(root, "MANIFEST.in")
+    simple_includes = set()
+    try:
+        with open(manifest_in, "r") as f:
+            for line in f:
+                if line.startswith("include "):
+                    for include in line.split()[1:]:
+                        simple_includes.add(include)
+    except EnvironmentError:
+        pass
+    # That doesn't cover everything MANIFEST.in can do
+    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
+    # it might give some false negatives. Appending redundant 'include'
+    # lines is safe, though.
+    if "versioneer.py" not in simple_includes:
+        print(" appending 'versioneer.py' to MANIFEST.in")
+        with open(manifest_in, "a") as f:
+            f.write("include versioneer.py\n")
+    else:
+        print(" 'versioneer.py' already in MANIFEST.in")
+    if cfg.versionfile_source not in simple_includes:
+        print(" appending versionfile_source ('%s') to MANIFEST.in" %
+              cfg.versionfile_source)
+        with open(manifest_in, "a") as f:
+            f.write("include %s\n" % cfg.versionfile_source)
+    else:
+        print(" versionfile_source already in MANIFEST.in")
+
+    # Make VCS-specific changes. For git, this means creating/changing
+    # .gitattributes to mark _version.py for export-subst keyword
+    # substitution.
+    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    return 0
+
+
+def scan_setup_py():
+    """Validate the contents of setup.py against Versioneer's expectations."""
+    found = set()
+    setters = False
+    errors = 0
+    with open("setup.py", "r") as f:
+        for line in f.readlines():
+            if "import versioneer" in line:
+                found.add("import")
+            if "versioneer.get_cmdclass()" in line:
+                found.add("cmdclass")
+            if "versioneer.get_version()" in line:
+                found.add("get_version")
+            if "versioneer.VCS" in line:
+                setters = True
+            if "versioneer.versionfile_source" in line:
+                setters = True
+    if len(found) != 3:
+        print("")
+        print("Your setup.py appears to be missing some important items")
+        print("(but I might be wrong). Please make sure it has something")
+        print("roughly like the following:")
+        print("")
+        print(" import versioneer")
+        print(" setup( version=versioneer.get_version(),")
+        print("        cmdclass=versioneer.get_cmdclass(),  ...)")
+        print("")
+        errors += 1
+    if setters:
+        print("You should remove lines like 'versioneer.VCS = ' and")
+        print("'versioneer.versionfile_source = ' . This configuration")
+        print("now lives in setup.cfg, and should be removed from setup.py")
+        print("")
+        errors += 1
+    return errors
+
+
+if __name__ == "__main__":
+    cmd = sys.argv[1]
+    if cmd == "setup":
+        errors = do_setup()
+        errors += scan_setup_py()
+        if errors:
+            sys.exit(1)

From f7d7b537188821371310380d9e412f519351974e Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 25 Jun 2020 09:55:00 +0200
Subject: [PATCH 042/441] correct path

---
 setup.cfg | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/setup.cfg b/setup.cfg
index f169d5f0..9821c1ad 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -7,6 +7,6 @@ ignore =
 VCS = git
 style = pep440
 versionfile_source = src/py_eddy_tracker/_version.py
-versionfile_build = src/py_eddy_tracker/_version.py
+versionfile_build = py_eddy_tracker/_version.py
 tag_prefix =
 parentdir_prefix =

From 520e7d75425a2f4cafbc614966b34103df49f01f Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 25 Jun 2020 10:45:40 +0200
Subject: [PATCH 043/441] add badge pypi

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9b0260c2..cddecddb 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=latest)](https://py-eddy-tracker.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
+[![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker) [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=latest)](https://py-eddy-tracker.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
 
 # README #
 

From 2ef3d9c8140c03425be74bb9505a93d6f93f0ee2 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 25 Jun 2020 14:41:08 +0200
Subject: [PATCH 044/441] small correction suggested by lgtm

---
 examples/10_tracking_diagnostics/pet_center_count.py | 4 ++--
 examples/10_tracking_diagnostics/pet_pixel_used.py   | 4 ++--
 share/fig.py                                         | 2 --
 src/py_eddy_tracker/eddy_feature.py                  | 1 -
 src/py_eddy_tracker/network.py                       | 1 -
 src/py_eddy_tracker/observations/tracking.py         | 2 +-
 src/scripts/EddyTracking                             | 6 +++---
 7 files changed, 8 insertions(+), 12 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index c727ae01..417f91d7 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -40,9 +40,9 @@
 
 # Count pixel used for each center
 g_a = a.grid_count(bins, intern=True, center=True)
-m = g_a.display(ax_a, **kwargs_pcolormesh)
+g_a.display(ax_a, **kwargs_pcolormesh)
 g_c = c.grid_count(bins, intern=True, center=True)
-m = g_c.display(ax_c, **kwargs_pcolormesh)
+g_c.display(ax_c, **kwargs_pcolormesh)
 # Compute a ratio Cyclonic / Anticyclonic
 ratio = g_c.vars["count"] / g_a.vars["count"]
 
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index b5a49d13..a54a0efb 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -37,9 +37,9 @@
 
 # Count pixel used for each contour
 g_a = a.grid_count(bins, intern=True)
-m = g_a.display(ax_a, **kwargs_pcolormesh)
+g_a.display(ax_a, **kwargs_pcolormesh)
 g_c = c.grid_count(bins, intern=True)
-m = g_c.display(ax_c, **kwargs_pcolormesh)
+g_c.display(ax_c, **kwargs_pcolormesh)
 # Compute a ratio Cyclonic / Anticyclonic
 ratio = g_c.vars["count"] / g_a.vars["count"]
 
diff --git a/share/fig.py b/share/fig.py
index 416247cf..f73c23ec 100644
--- a/share/fig.py
+++ b/share/fig.py
@@ -48,8 +48,6 @@
         # 0.02, # step between two isolines of detection (m)
         pixel_limit=(5, 2000),  # Min and max of pixel can be include in contour
         shape_error=55,  # Error maximal of circle fitting over contour to be accepted
-        bbox_surface_min_degree=0.125
-        ** 2,  # degrees surface minimal to take in account contour
     )
     fig = plt.figure(figsize=(15, 7))
     ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index a54fbc72..0cf7adb5 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -91,7 +91,6 @@ def within_amplitude_limits(self):
         """Need update
         """
         return self.interval_min <= self.amplitude
-        return self.eddy.ampmin <= self.amplitude <= self.eddy.ampmax
 
     def all_pixels_below_h0(self, level):
         """
diff --git a/src/py_eddy_tracker/network.py b/src/py_eddy_tracker/network.py
index ac72efda..a98938ec 100644
--- a/src/py_eddy_tracker/network.py
+++ b/src/py_eddy_tracker/network.py
@@ -57,7 +57,6 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
     x0_, x1_ = x0[i], x1[i]
     if abs(x0_[0] - x1_[0]) > 180:
         ref = x0_[0] - x0.dtype.type(180)
-        x1_ = x1[i]
         x1_ = (x1[i] - ref) % 360 + ref
     return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
 
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 4c5a8219..cba77853 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -327,7 +327,7 @@ def __extract_with_mask(
             logger.warning(
                 "Incompatible option, remove_incomplete option will be remove"
             )
-            remove_incomplete = False
+            # remove_incomplete = False
 
         if full_path:
             if reject_virtual:
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index 06d97922..0ab849e5 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -15,7 +15,7 @@ from netCDF4 import Dataset
 from datetime import datetime
 from glob import glob
 import logging
-import datetime as dt
+
 
 logger = logging.getLogger("pet")
 
@@ -189,7 +189,7 @@ if __name__ == "__main__":
         DATASET_LIST = DATASET_LIST[:-BLANK_PERIOD]
         logger.info("Last %d files will be pop", BLANK_PERIOD)
 
-    START_TIME = dt.datetime.now()
+    START_TIME = datetime.now()
     logger.info("Start tracking on %d files", len(DATASET_LIST))
 
     NB_OBS_MIN = int(CONFIG.get("TRACK_DURATION_MIN", 14))
@@ -254,7 +254,7 @@ if __name__ == "__main__":
         SHORT_TRACK.filled_by_interpolation(SHORT_TRACK["virtual"] == 1)
 
     # Total running time
-    FULL_TIME = dt.datetime.now() - START_TIME
+    FULL_TIME = datetime.now() - START_TIME
     logger.info("Mean duration by loop : %s", FULL_TIME / (len(DATASET_LIST) - 1))
     logger.info("Duration : %s", FULL_TIME)
 

From eb9e3b3183ffbd74d042191ac87fd15d3070a466 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 26 Jun 2020 23:38:20 +0200
Subject: [PATCH 045/441] Change badge for stable version

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index cddecddb..71db6750 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker) [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=latest)](https://py-eddy-tracker.readthedocs.io/en/latest/?badge=latest) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
+[![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker) [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=stable)](https://py-eddy-tracker.readthedocs.io/en/stable/?badge=stable) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
 
 # README #
 

From 6bead13fb5407138dfe93cb299f3014937813bcf Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 26 Jun 2020 23:39:19 +0200
Subject: [PATCH 046/441] Move function

---
 src/py_eddy_tracker/dataset/grid.py | 55 ++---------------------------
 src/py_eddy_tracker/generic.py      | 37 +++++++++++++++++++
 src/py_eddy_tracker/poly.py         |  2 +-
 3 files changed, 41 insertions(+), 53 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index ee4c26d7..c04a5726 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -28,8 +28,6 @@
     isnan,
     percentile,
     zeros,
-    arctan2,
-    arcsin,
     round_,
     nanmean,
     exp,
@@ -50,8 +48,8 @@
 from ..observations.observation import EddiesObservations
 from ..eddy_feature import Amplitude, Contours
 from .. import VAR_DESCR
-from ..generic import distance, interp2d_geo, fit_circle, uniform_resample
-from ..poly import poly_contain_poly, winding_number_grid_in_poly, winding_number_poly
+from ..generic import distance, interp2d_geo, fit_circle, uniform_resample, coordinates_to_local, local_to_coordinates
+from ..poly import poly_contain_poly, winding_number_grid_in_poly, winding_number_poly, create_vertice
 
 logger = logging.getLogger("pet")
 
@@ -86,14 +84,6 @@ def lat(self):
 BasePath.lat = lat
 
 
-@njit(cache=True)
-def prepare_for_kdtree(x_val, y_val):
-    data = empty((x_val.shape[0], 2))
-    data[:, 0] = x_val
-    data[:, 1] = y_val
-    return data
-
-
 @njit(cache=True)
 def uniform_resample_stack(vertices, num_fac=2, fixed_size=None):
     x_val, y_val = vertices[:, 0], vertices[:, 1]
@@ -195,45 +185,6 @@ def _get_pixel_in_unregular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop
     return i_x, i_y
 
 
-@njit(cache=True, fastmath=True)
-def coordinates_to_local(lon, lat, lon0, lat0):
-    D2R = pi / 180.0
-    R = 6370997
-    dlon = (lon - lon0) * D2R
-    sin_dlat = sin((lat - lat0) * 0.5 * D2R)
-    sin_dlon = sin(dlon * 0.5)
-    cos_lat0 = cos(lat0 * D2R)
-    cos_lat = cos(lat * D2R)
-    a_val = sin_dlon ** 2 * cos_lat0 * cos_lat + sin_dlat ** 2
-    module = R * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
-
-    azimuth = pi / 2 - arctan2(
-        cos_lat * sin(dlon),
-        cos_lat0 * sin(lat * D2R) - sin(lat0 * D2R) * cos_lat * cos(dlon),
-    )
-    return module * cos(azimuth), module * sin(azimuth)
-
-
-@njit(cache=True, fastmath=True)
-def local_to_coordinates(x, y, lon0, lat0):
-    D2R = pi / 180.0
-    R = 6370997
-    d = (x ** 2 + y ** 2) ** 0.5 / R
-    a = -(arctan2(y, x) - pi / 2)
-    lat = arcsin(sin(lat0 * D2R) * cos(d) + cos(lat0 * D2R) * sin(d) * cos(a))
-    lon = (
-        lon0
-        + arctan2(
-            sin(a) * sin(d) * cos(lat0 * D2R), cos(d) - sin(lat0 * D2R) * sin(lat)
-        )
-        / D2R
-    )
-    return lon, lat / D2R
-
-
-BasePath.fit_circle = fit_circle_path
-
-
 def pixels_in(self, grid):
     if not hasattr(self, "_slice"):
         self._slice = grid.bbox_indice(self.vertices)
@@ -1081,7 +1032,7 @@ def compute_pixel_path(self, x0, y0, x1, y1):
     def init_pos_interpolator(self):
         logger.debug("Create a KdTree could be long ...")
         self.index_interp = cKDTree(
-            prepare_for_kdtree(self.x_c.reshape(-1), self.y_c.reshape(-1))
+            create_vertice(self.x_c.reshape(-1), self.y_c.reshape(-1))
         )
 
         logger.debug("... OK")
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index c8f2ae00..db4dfced 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -26,6 +26,7 @@
     pi,
     cos,
     arctan2,
+    arcsin,
     empty,
     nan,
     absolute,
@@ -354,3 +355,39 @@ def wrap_longitude(x, y, ref, cut=False):
         for i in range(nb):
             out[i] = (x[i] - ref) % 360 + ref
         return out, y
+
+
+@njit(cache=True, fastmath=True)
+def coordinates_to_local(lon, lat, lon0, lat0):
+    D2R = pi / 180.0
+    R = 6370997
+    dlon = (lon - lon0) * D2R
+    sin_dlat = sin((lat - lat0) * 0.5 * D2R)
+    sin_dlon = sin(dlon * 0.5)
+    cos_lat0 = cos(lat0 * D2R)
+    cos_lat = cos(lat * D2R)
+    a_val = sin_dlon ** 2 * cos_lat0 * cos_lat + sin_dlat ** 2
+    module = R * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
+
+    azimuth = pi / 2 - arctan2(
+        cos_lat * sin(dlon),
+        cos_lat0 * sin(lat * D2R) - sin(lat0 * D2R) * cos_lat * cos(dlon),
+    )
+    return module * cos(azimuth), module * sin(azimuth)
+
+
+@njit(cache=True, fastmath=True)
+def local_to_coordinates(x, y, lon0, lat0):
+    D2R = pi / 180.0
+    R = 6370997
+    d = (x ** 2 + y ** 2) ** 0.5 / R
+    a = -(arctan2(y, x) - pi / 2)
+    lat = arcsin(sin(lat0 * D2R) * cos(d) + cos(lat0 * D2R) * sin(d) * cos(a))
+    lon = (
+        lon0
+        + arctan2(
+            sin(a) * sin(d) * cos(lat0 * D2R), cos(d) - sin(lat0 * D2R) * sin(lat)
+        )
+        / D2R
+    )
+    return lon, lat / D2R
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 57e00356..35b78f6b 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -144,7 +144,7 @@ def bbox_intersection(x0, y0, x1, y1):
 @njit(cache=True)
 def create_vertice(x, y):
     nb = x.shape[0]
-    v = empty((nb, 2))
+    v = empty((nb, 2), dtype=x.dtype)
     for i in range(nb):
         v[i, 0] = x[i]
         v[i, 1] = y[i]

From 035d646180ae4eec6087ad31434df4c0c755333d Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 26 Jun 2020 23:40:26 +0200
Subject: [PATCH 047/441] re-format

---
 src/py_eddy_tracker/network.py |  38 +++--
 versioneer.py                  | 267 ++++++++++++++++++++-------------
 2 files changed, 183 insertions(+), 122 deletions(-)

diff --git a/src/py_eddy_tracker/network.py b/src/py_eddy_tracker/network.py
index a98938ec..578af4f5 100644
--- a/src/py_eddy_tracker/network.py
+++ b/src/py_eddy_tracker/network.py
@@ -92,29 +92,27 @@ def get_group_array(results, nb_obs):
     gr = empty(nb_obs.sum(), dtype="u4")
     gr[:] = NOGROUP
 
-    next_id_group = 1
-    for i, j, i_ref, i_etu in results:
-        sl_ref = slice(day_start[i], day_start[i] + nb_obs[i])
-        sl_etu = slice(day_start[j], day_start[j] + nb_obs[j])
+    id_free = 1
+    for i, j, ii, ij in results:
+        gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]
+        gr_j = gr[slice(day_start[j], day_start[j] + nb_obs[j])]
         # obs with no groups
-        m = (gr[sl_ref][i_ref] == NOGROUP) * (gr[sl_etu][i_etu] == NOGROUP)
-        nb_no_groups = m.sum()
-        gr[sl_ref][i_ref[m]] = gr[sl_etu][i_etu[m]] = arange(
-            next_id_group, next_id_group + nb_no_groups
-        )
-        next_id_group += nb_no_groups
+        m = (gr_i[ii] == NOGROUP) * (gr_j[ij] == NOGROUP)
+        nb_new = m.sum()
+        gr_i[ii[m]] = gr_j[ij[m]] = arange(id_free, id_free + nb_new)
+        id_free += nb_new
         # associate obs with no group with obs with group
-        m = (gr[sl_ref][i_ref] != NOGROUP) * (gr[sl_etu][i_etu] == NOGROUP)
-        gr[sl_etu][i_etu[m]] = gr[sl_ref][i_ref[m]]
-        m = (gr[sl_ref][i_ref] == NOGROUP) * (gr[sl_etu][i_etu] != NOGROUP)
-        gr[sl_ref][i_ref[m]] = gr[sl_etu][i_etu[m]]
+        m = (gr_i[ii] != NOGROUP) * (gr_j[ij] == NOGROUP)
+        gr_j[ij[m]] = gr_i[ii[m]]
+        m = (gr_i[ii] == NOGROUP) * (gr_j[ij] != NOGROUP)
+        gr_i[ii[m]] = gr_j[ij[m]]
         # case where 2 obs have a different group
-        m = gr[sl_ref][i_ref] != gr[sl_etu][i_etu]
+        m = gr_i[ii] != gr_j[ij]
         if m.any():
             # Merge of group, ref over etu
-            for i_, j_ in zip(i_ref[m], i_etu[m]):
-                g_ref, g_etu = gr[sl_ref][i_], gr[sl_etu][j_]
-                gr[gr == g_ref] = g_etu
+            for i_, j_ in zip(ii[m], ij[m]):
+                gr_i_, gr_j_ = gr_i[i_], gr_j[j_]
+                gr[gr == gr_i_] = gr_j_
     return gr
 
 
@@ -161,7 +159,7 @@ def save(filenames, gr, out):
         debug_active = logger.getEffectiveLevel() == logging.DEBUG
         for filename in filenames:
             if debug_active:
-                print(f'Load {filename} to copy', end="\r")
+                print(f"Load {filename} to copy", end="\r")
             with Dataset(filename) as h_in:
                 stop = i + len(h_in.dimensions["obs"])
                 sl = slice(i, stop)
@@ -222,7 +220,7 @@ def network(regex, filename_out, window=1, intern=False):
     debug_active = logger.getEffectiveLevel() == logging.DEBUG
     for i, filename in enumerate(filenames):
         if debug_active:
-            print(f'{filename} compared to {window} next', end="\r")
+            print(f"{filename} compared to {window} next", end="\r")
         xi, yi = load_contour(filename, *coord)
         nb_obs.append(xi.shape[0])
         for j in range(i + 1, min(window + i + 1, nb_in)):
diff --git a/versioneer.py b/versioneer.py
index 64fea1c8..2b545405 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -1,4 +1,3 @@
-
 # Version: 0.18
 
 """The Versioneer - like a rocketeer, but for versions.
@@ -277,6 +276,7 @@
 """
 
 from __future__ import print_function
+
 try:
     import configparser
 except ImportError:
@@ -308,11 +308,13 @@ def get_root():
         setup_py = os.path.join(root, "setup.py")
         versioneer_py = os.path.join(root, "versioneer.py")
     if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
-        err = ("Versioneer was unable to run the project root directory. "
-               "Versioneer requires setup.py to be executed from "
-               "its immediate directory (like 'python setup.py COMMAND'), "
-               "or in a way that lets it use sys.argv[0] to find the root "
-               "(like 'python path/to/setup.py COMMAND').")
+        err = (
+            "Versioneer was unable to run the project root directory. "
+            "Versioneer requires setup.py to be executed from "
+            "its immediate directory (like 'python setup.py COMMAND'), "
+            "or in a way that lets it use sys.argv[0] to find the root "
+            "(like 'python path/to/setup.py COMMAND')."
+        )
         raise VersioneerBadRootError(err)
     try:
         # Certain runtime workflows (setup.py install/develop in a setuptools
@@ -325,8 +327,10 @@ def get_root():
         me_dir = os.path.normcase(os.path.splitext(me)[0])
         vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
         if me_dir != vsr_dir:
-            print("Warning: build in %s is using versioneer.py from %s"
-                  % (os.path.dirname(me), versioneer_py))
+            print(
+                "Warning: build in %s is using versioneer.py from %s"
+                % (os.path.dirname(me), versioneer_py)
+            )
     except NameError:
         pass
     return root
@@ -348,6 +352,7 @@ def get(parser, name):
         if parser.has_option("versioneer", name):
             return parser.get("versioneer", name)
         return None
+
     cfg = VersioneerConfig()
     cfg.VCS = VCS
     cfg.style = get(parser, "style") or ""
@@ -372,17 +377,18 @@ class NotThisMethod(Exception):
 
 def register_vcs_handler(vcs, method):  # decorator
     """Decorator to mark a method as the handler for a particular VCS."""
+
     def decorate(f):
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
         HANDLERS[vcs][method] = f
         return f
+
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None):
     """Call the given command(s)."""
     assert isinstance(commands, list)
     p = None
@@ -390,10 +396,13 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         try:
             dispcmd = str([c] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            p = subprocess.Popen(
+                [c] + args,
+                cwd=cwd,
+                env=env,
+                stdout=subprocess.PIPE,
+                stderr=(subprocess.PIPE if hide_stderr else None),
+            )
             break
         except EnvironmentError:
             e = sys.exc_info()[1]
@@ -418,7 +427,9 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
     return stdout, p.returncode
 
 
-LONG_VERSION_PY['git'] = '''
+LONG_VERSION_PY[
+    "git"
+] = '''
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
@@ -993,7 +1004,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)])
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -1002,7 +1013,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = set([r for r in refs if re.search(r"\d", r)])
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -1010,19 +1021,26 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     for ref in sorted(tags):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix):]
+            r = ref[len(tag_prefix) :]
             if verbose:
                 print("picking %s" % r)
-            return {"version": r,
-                    "full-revisionid": keywords["full"].strip(),
-                    "dirty": False, "error": None,
-                    "date": date}
+            return {
+                "version": r,
+                "full-revisionid": keywords["full"].strip(),
+                "dirty": False,
+                "error": None,
+                "date": date,
+            }
     # no suitable tags, so version is "0+unknown", but full hex is still there
     if verbose:
         print("no suitable tags, using unknown + full revision id")
-    return {"version": "0+unknown",
-            "full-revisionid": keywords["full"].strip(),
-            "dirty": False, "error": "no suitable tags", "date": None}
+    return {
+        "version": "0+unknown",
+        "full-revisionid": keywords["full"].strip(),
+        "dirty": False,
+        "error": "no suitable tags",
+        "date": None,
+    }
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
@@ -1037,8 +1055,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -1046,10 +1063,19 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = run_command(
+        GITS,
+        [
+            "describe",
+            "--tags",
+            "--dirty",
+            "--always",
+            "--long",
+            "--match",
+            "%s*" % tag_prefix,
+        ],
+        cwd=root,
+    )
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
@@ -1072,17 +1098,16 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     dirty = git_describe.endswith("-dirty")
     pieces["dirty"] = dirty
     if dirty:
-        git_describe = git_describe[:git_describe.rindex("-dirty")]
+        git_describe = git_describe[: git_describe.rindex("-dirty")]
 
     # now we have TAG-NUM-gHEX or HEX
 
     if "-" in git_describe:
         # TAG-NUM-gHEX
-        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe)
         if not mo:
             # unparseable. Maybe git-describe is misbehaving?
-            pieces["error"] = ("unable to parse git-describe output: '%s'"
-                               % describe_out)
+            pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out
             return pieces
 
         # tag
@@ -1091,10 +1116,12 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
             if verbose:
                 fmt = "tag '%s' doesn't start with prefix '%s'"
                 print(fmt % (full_tag, tag_prefix))
-            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
-                               % (full_tag, tag_prefix))
+            pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % (
+                full_tag,
+                tag_prefix,
+            )
             return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+        pieces["closest-tag"] = full_tag[len(tag_prefix) :]
 
         # distance: number of commits since tag
         pieces["distance"] = int(mo.group(2))
@@ -1105,13 +1132,13 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
         pieces["distance"] = int(count_out)  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[
+        0
+    ].strip()
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
@@ -1167,16 +1194,22 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     for i in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
-            return {"version": dirname[len(parentdir_prefix):],
-                    "full-revisionid": None,
-                    "dirty": False, "error": None, "date": None}
+            return {
+                "version": dirname[len(parentdir_prefix) :],
+                "full-revisionid": None,
+                "dirty": False,
+                "error": None,
+                "date": None,
+            }
         else:
             rootdirs.append(root)
             root = os.path.dirname(root)  # up a level
 
     if verbose:
-        print("Tried directories %s but none started with prefix %s" %
-              (str(rootdirs), parentdir_prefix))
+        print(
+            "Tried directories %s but none started with prefix %s"
+            % (str(rootdirs), parentdir_prefix)
+        )
     raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
 
 
@@ -1205,11 +1238,13 @@ def versions_from_file(filename):
             contents = f.read()
     except EnvironmentError:
         raise NotThisMethod("unable to read _version.py")
-    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
-                   contents, re.M | re.S)
+    mo = re.search(
+        r"version_json = '''\n(.*)'''  # END VERSION_JSON", contents, re.M | re.S
+    )
     if not mo:
-        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
-                       contents, re.M | re.S)
+        mo = re.search(
+            r"version_json = '''\r\n(.*)'''  # END VERSION_JSON", contents, re.M | re.S
+        )
     if not mo:
         raise NotThisMethod("no version_json in _version.py")
     return json.loads(mo.group(1))
@@ -1218,8 +1253,7 @@ def versions_from_file(filename):
 def write_to_version_file(filename, versions):
     """Write the given version number to the given _version.py file."""
     os.unlink(filename)
-    contents = json.dumps(versions, sort_keys=True,
-                          indent=1, separators=(",", ": "))
+    contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": "))
     with open(filename, "w") as f:
         f.write(SHORT_VERSION_PY % contents)
 
@@ -1251,8 +1285,7 @@ def render_pep440(pieces):
                 rendered += ".dirty"
     else:
         # exception #1
-        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
-                                          pieces["short"])
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"])
         if pieces["dirty"]:
             rendered += ".dirty"
     return rendered
@@ -1366,11 +1399,13 @@ def render_git_describe_long(pieces):
 def render(pieces, style):
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
-        return {"version": "unknown",
-                "full-revisionid": pieces.get("long"),
-                "dirty": None,
-                "error": pieces["error"],
-                "date": None}
+        return {
+            "version": "unknown",
+            "full-revisionid": pieces.get("long"),
+            "dirty": None,
+            "error": pieces["error"],
+            "date": None,
+        }
 
     if not style or style == "default":
         style = "pep440"  # the default
@@ -1390,9 +1425,13 @@ def render(pieces, style):
     else:
         raise ValueError("unknown style '%s'" % style)
 
-    return {"version": rendered, "full-revisionid": pieces["long"],
-            "dirty": pieces["dirty"], "error": None,
-            "date": pieces.get("date")}
+    return {
+        "version": rendered,
+        "full-revisionid": pieces["long"],
+        "dirty": pieces["dirty"],
+        "error": None,
+        "date": pieces.get("date"),
+    }
 
 
 class VersioneerBadRootError(Exception):
@@ -1415,8 +1454,9 @@ def get_versions(verbose=False):
     handlers = HANDLERS.get(cfg.VCS)
     assert handlers, "unrecognized VCS '%s'" % cfg.VCS
     verbose = verbose or cfg.verbose
-    assert cfg.versionfile_source is not None, \
-        "please set versioneer.versionfile_source"
+    assert (
+        cfg.versionfile_source is not None
+    ), "please set versioneer.versionfile_source"
     assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
 
     versionfile_abs = os.path.join(root, cfg.versionfile_source)
@@ -1470,9 +1510,13 @@ def get_versions(verbose=False):
     if verbose:
         print("unable to compute version")
 
-    return {"version": "0+unknown", "full-revisionid": None,
-            "dirty": None, "error": "unable to compute version",
-            "date": None}
+    return {
+        "version": "0+unknown",
+        "full-revisionid": None,
+        "dirty": None,
+        "error": "unable to compute version",
+        "date": None,
+    }
 
 
 def get_version():
@@ -1521,6 +1565,7 @@ def run(self):
             print(" date: %s" % vers.get("date"))
             if vers["error"]:
                 print(" error: %s" % vers["error"])
+
     cmds["version"] = cmd_version
 
     # we override "build_py" in both distutils and setuptools
@@ -1553,14 +1598,15 @@ def run(self):
             # now locate _version.py in the new build/ directory and replace
             # it with an updated value
             if cfg.versionfile_build:
-                target_versionfile = os.path.join(self.build_lib,
-                                                  cfg.versionfile_build)
+                target_versionfile = os.path.join(self.build_lib, cfg.versionfile_build)
                 print("UPDATING %s" % target_versionfile)
                 write_to_version_file(target_versionfile, versions)
+
     cmds["build_py"] = cmd_build_py
 
     if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
         from cx_Freeze.dist import build_exe as _build_exe
+
         # nczeczulin reports that py2exe won't like the pep440-style string
         # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
         # setup(console=[{
@@ -1581,17 +1627,21 @@ def run(self):
                 os.unlink(target_versionfile)
                 with open(cfg.versionfile_source, "w") as f:
                     LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(LONG %
-                            {"DOLLAR": "$",
-                             "STYLE": cfg.style,
-                             "TAG_PREFIX": cfg.tag_prefix,
-                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                             })
+                    f.write(
+                        LONG
+                        % {
+                            "DOLLAR": "$",
+                            "STYLE": cfg.style,
+                            "TAG_PREFIX": cfg.tag_prefix,
+                            "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                            "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        }
+                    )
+
         cmds["build_exe"] = cmd_build_exe
         del cmds["build_py"]
 
-    if 'py2exe' in sys.modules:  # py2exe enabled?
+    if "py2exe" in sys.modules:  # py2exe enabled?
         try:
             from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
         except ImportError:
@@ -1610,13 +1660,17 @@ def run(self):
                 os.unlink(target_versionfile)
                 with open(cfg.versionfile_source, "w") as f:
                     LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(LONG %
-                            {"DOLLAR": "$",
-                             "STYLE": cfg.style,
-                             "TAG_PREFIX": cfg.tag_prefix,
-                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                             })
+                    f.write(
+                        LONG
+                        % {
+                            "DOLLAR": "$",
+                            "STYLE": cfg.style,
+                            "TAG_PREFIX": cfg.tag_prefix,
+                            "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                            "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        }
+                    )
+
         cmds["py2exe"] = cmd_py2exe
 
     # we override different "sdist" commands for both environments
@@ -1643,8 +1697,10 @@ def make_release_tree(self, base_dir, files):
             # updated value
             target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
             print("UPDATING %s" % target_versionfile)
-            write_to_version_file(target_versionfile,
-                                  self._versioneer_generated_versions)
+            write_to_version_file(
+                target_versionfile, self._versioneer_generated_versions
+            )
+
     cmds["sdist"] = cmd_sdist
 
     return cmds
@@ -1699,11 +1755,13 @@ def do_setup():
     root = get_root()
     try:
         cfg = get_config_from_root(root)
-    except (EnvironmentError, configparser.NoSectionError,
-            configparser.NoOptionError) as e:
+    except (
+        EnvironmentError,
+        configparser.NoSectionError,
+        configparser.NoOptionError,
+    ) as e:
         if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
-            print("Adding sample versioneer config to setup.cfg",
-                  file=sys.stderr)
+            print("Adding sample versioneer config to setup.cfg", file=sys.stderr)
             with open(os.path.join(root, "setup.cfg"), "a") as f:
                 f.write(SAMPLE_CONFIG)
         print(CONFIG_ERROR, file=sys.stderr)
@@ -1712,15 +1770,18 @@ def do_setup():
     print(" creating %s" % cfg.versionfile_source)
     with open(cfg.versionfile_source, "w") as f:
         LONG = LONG_VERSION_PY[cfg.VCS]
-        f.write(LONG % {"DOLLAR": "$",
-                        "STYLE": cfg.style,
-                        "TAG_PREFIX": cfg.tag_prefix,
-                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                        })
-
-    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
-                       "__init__.py")
+        f.write(
+            LONG
+            % {
+                "DOLLAR": "$",
+                "STYLE": cfg.style,
+                "TAG_PREFIX": cfg.tag_prefix,
+                "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                "VERSIONFILE_SOURCE": cfg.versionfile_source,
+            }
+        )
+
+    ipy = os.path.join(os.path.dirname(cfg.versionfile_source), "__init__.py")
     if os.path.exists(ipy):
         try:
             with open(ipy, "r") as f:
@@ -1762,8 +1823,10 @@ def do_setup():
     else:
         print(" 'versioneer.py' already in MANIFEST.in")
     if cfg.versionfile_source not in simple_includes:
-        print(" appending versionfile_source ('%s') to MANIFEST.in" %
-              cfg.versionfile_source)
+        print(
+            " appending versionfile_source ('%s') to MANIFEST.in"
+            % cfg.versionfile_source
+        )
         with open(manifest_in, "a") as f:
             f.write("include %s\n" % cfg.versionfile_source)
     else:

From 44ea9661653c9db1873ae12b8ec2045fa3659026 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 26 Jun 2020 23:41:17 +0200
Subject: [PATCH 048/441] Add test workflow

---
 .github/workflows/python-app.yml |  6 ++---
 tests/test_grid.py               | 46 ++++++++++++++++++++++++++++++++
 tests/test_id.py                 | 14 ++++++++++
 tests/test_obs.py                | 15 +++++++++++
 4 files changed, 78 insertions(+), 3 deletions(-)
 create mode 100644 tests/test_grid.py
 create mode 100644 tests/test_id.py
 create mode 100644 tests/test_obs.py

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index e30c8c33..2ff39e64 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -31,6 +31,6 @@ jobs:
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-#    - name: Test with pytest
-#      run: |
-#        pytest
+   - name: Test with pytest
+     run: |
+       pytest
diff --git a/tests/test_grid.py b/tests/test_grid.py
new file mode 100644
index 00000000..6ef7cfdd
--- /dev/null
+++ b/tests/test_grid.py
@@ -0,0 +1,46 @@
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.data import get_path
+from matplotlib.path import Path
+from pytest import approx
+
+G = RegularGridDataset(get_path("mask_1_60.nc"), "lon", "lat")
+X = 0.025
+contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
+
+# contour
+def test_contour_lon():
+    assert (contour.lon == (-X, X, X, -X, -X)).all()
+
+
+def test_contour_lat():
+    assert (contour.lat == (0, 0, X, X, 0)).all()
+
+
+def test_contour_mean():
+    assert (contour.mean_coordinates == (0, X / 2)).all()
+
+
+def test_contour_fit_circle():
+    x, y, r, err = contour.fit_circle()
+    assert x == approx(0)
+    assert y == approx(X / 2)
+    assert r == approx(3108, rel=1e-1)
+    assert err == approx(49.1, rel=1e-1)
+
+
+def test_pixels_in():
+    i, j = contour.pixels_in(G)
+    assert (i == (21599, 0, 1)).all()
+    assert (j == (5401, 5401, 5401)).all()
+
+
+def test_contour_grid_slice():
+    assert contour.bbox_slice == ((21598, 4), (5400, 5404))
+
+
+# grid
+def test_bounds():
+    x0, x1, y0, y1 = G.bounds
+    assert x0 == -1 / 120.0 and x1 == 360 - 1 / 120
+    assert y0 == approx(-90 - 1 / 120.0) and y1 == approx(90 - 1 / 120)
+
diff --git a/tests/test_id.py b/tests/test_id.py
new file mode 100644
index 00000000..1469cad0
--- /dev/null
+++ b/tests/test_id.py
@@ -0,0 +1,14 @@
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.data import get_path
+from datetime import datetime
+
+g = RegularGridDataset(
+    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+
+
+def test_id():
+    g.add_uv("adt")
+    a, c = g.eddy_identification("adt", "u", "v", datetime(2019, 2, 23))
+    assert len(a) == 35
+    assert len(c) == 36
diff --git a/tests/test_obs.py b/tests/test_obs.py
new file mode 100644
index 00000000..50693860
--- /dev/null
+++ b/tests/test_obs.py
@@ -0,0 +1,15 @@
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.data import get_path
+from netCDF4 import Dataset
+
+a = EddiesObservations.load_file(get_path("Anticyclonic_20190223.nc"))
+c = EddiesObservations.load_file(get_path("Cyclonic_20190223.nc"))
+
+
+def test_merge():
+    new = a.merge(c)
+    assert len(new) == len(a) + len(c)
+
+
+# def test_write():
+#     with Dataset

From 54f1f50cce0aacd1ab136d167e8fb74463af70f8 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sat, 27 Jun 2020 22:57:57 +0200
Subject: [PATCH 049/441] add line previously deleted

---
 src/py_eddy_tracker/dataset/grid.py | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index c04a5726..8e4419c5 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -48,8 +48,20 @@
 from ..observations.observation import EddiesObservations
 from ..eddy_feature import Amplitude, Contours
 from .. import VAR_DESCR
-from ..generic import distance, interp2d_geo, fit_circle, uniform_resample, coordinates_to_local, local_to_coordinates
-from ..poly import poly_contain_poly, winding_number_grid_in_poly, winding_number_poly, create_vertice
+from ..generic import (
+    distance,
+    interp2d_geo,
+    fit_circle,
+    uniform_resample,
+    coordinates_to_local,
+    local_to_coordinates,
+)
+from ..poly import (
+    poly_contain_poly,
+    winding_number_grid_in_poly,
+    winding_number_poly,
+    create_vertice,
+)
 
 logger = logging.getLogger("pet")
 
@@ -185,6 +197,9 @@ def _get_pixel_in_unregular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop
     return i_x, i_y
 
 
+BasePath.fit_circle = fit_circle_path
+
+
 def pixels_in(self, grid):
     if not hasattr(self, "_slice"):
         self._slice = grid.bbox_indice(self.vertices)

From b54c9b721a5e77d55c903193830a9c81f67af866 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sat, 27 Jun 2020 23:07:15 +0200
Subject: [PATCH 050/441] force dtype in some numba case

---
 src/py_eddy_tracker/dataset/grid.py | 2 +-
 src/py_eddy_tracker/generic.py      | 2 +-
 src/py_eddy_tracker/poly.py         | 4 ++--
 tests/test_grid.py                  | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8e4419c5..d7325a4c 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -100,7 +100,7 @@ def lat(self):
 def uniform_resample_stack(vertices, num_fac=2, fixed_size=None):
     x_val, y_val = vertices[:, 0], vertices[:, 1]
     x_new, y_new = uniform_resample(x_val, y_val, num_fac, fixed_size)
-    data = empty((x_new.shape[0], 2))
+    data = empty((x_new.shape[0], 2), dtype=vertices.dtype)
     data[:, 0] = x_new
     data[:, 1] = y_new
     return data
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index db4dfced..9f52bb35 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -120,7 +120,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     y_step = y_g[1] - y_ref
     nb_x = x_g.shape[0]
     is_circular = (x_g[-1] + x_step) % 360 == x_g[0] % 360
-    z = empty(x.shape)
+    z = empty(x.shape, dtype=z_g.dtype)
     for i in prange(x.size):
         x_ = (x[i] - x_ref) / x_step
         y_ = (y[i] - y_ref) / y_step
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 35b78f6b..b397eebf 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -115,8 +115,8 @@ def bbox_intersection(x0, y0, x1, y1):
     """
     nb0 = x0.shape[0]
     nb1 = x1.shape[0]
-    x1_min, y1_min = empty(nb1), empty(nb1)
-    x1_max, y1_max = empty(nb1), empty(nb1)
+    x1_min, y1_min = empty(nb1, dtype=x1.dtype), empty(nb1, dtype=x1.dtype)
+    x1_max, y1_max = empty(nb1, dtype=x1.dtype), empty(nb1, dtype=x1.dtype)
     for i1 in range(nb1):
         x1_min[i1], y1_min[i1] = x1[i1].min(), y1[i1].min()
         x1_max[i1], y1_max[i1] = x1[i1].max(), y1[i1].max()
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 6ef7cfdd..32ae2721 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -7,6 +7,7 @@
 X = 0.025
 contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
 
+
 # contour
 def test_contour_lon():
     assert (contour.lon == (-X, X, X, -X, -X)).all()
@@ -43,4 +44,3 @@ def test_bounds():
     x0, x1, y0, y1 = G.bounds
     assert x0 == -1 / 120.0 and x1 == 360 - 1 / 120
     assert y0 == approx(-90 - 1 / 120.0) and y1 == approx(90 - 1 / 120)
-

From 0aa8bd9005755f2bc1b4ea41f6dd769123f5be3a Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 28 Jun 2020 15:26:55 +0200
Subject: [PATCH 051/441] add function to get circle instead of contour

---
 .../pet_contour_circle.py                     | 27 ++++++
 .../pet_contour_circle.ipynb                  | 90 +++++++++++++++++++
 .../pet_track_anim.ipynb                      |  2 +-
 .../pet_center_count.ipynb                    |  2 +-
 .../pet_pixel_used.ipynb                      |  2 +-
 .../observations/observation.py               | 27 +++++-
 6 files changed, 146 insertions(+), 4 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_contour_circle.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb

diff --git a/examples/02_eddy_identification/pet_contour_circle.py b/examples/02_eddy_identification/pet_contour_circle.py
new file mode 100644
index 00000000..5cbba26b
--- /dev/null
+++ b/examples/02_eddy_identification/pet_contour_circle.py
@@ -0,0 +1,27 @@
+"""
+Display contour & circle
+========================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker import data
+
+# %%
+# Load detection files
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+
+# %%
+# Plot
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+ax.set_aspect("equal")
+ax.set_xlim(10, 70)
+ax.set_ylim(-50, -25)
+a.display(ax, label="Anticyclonic contour", color="r", lw=1)
+
+# Replace contour by circle
+a.circle_contour()
+a.display(ax, label="Anticyclonic circle", color="g", lw=1)
+ax.legend(loc="upper right")
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
new file mode 100644
index 00000000..4f372a24
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -0,0 +1,90 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nDisplay contour & circle\n========================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\na.display(ax, label=\"Anticyclonic contour\", color=\"r\", lw=1)\n\n# Replace contour by circle\na.circle_contour()\na.display(ax, label=\"Anticyclonic circle\", color=\"g\", lw=1)\nax.legend(loc=\"upper right\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 2c584a17..f6e6c2e7 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.collections import LineCollection\nimport matplotlib.transforms as mt\nfrom numpy import arange\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.poly import create_vertice\nimport py_eddy_tracker_sample"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.collections import LineCollection\nfrom numpy import arange\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.poly import create_vertice\nimport py_eddy_tracker_sample"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 9fb3bb3e..644a9277 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index d1243758..bf930464 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\nm = g_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\nm = g_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ca24b781..781b3539 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -48,6 +48,8 @@
     ceil,
     arange,
     histogram2d,
+    linspace,
+    sin,
 )
 from netCDF4 import Dataset
 from datetime import datetime
@@ -58,7 +60,13 @@
 from tokenize import TokenError
 from matplotlib.path import Path as BasePath
 from .. import VAR_DESCR, VAR_DESCR_inv
-from ..generic import distance_grid, distance, flatten_line_matrix, wrap_longitude
+from ..generic import (
+    distance_grid,
+    distance,
+    flatten_line_matrix,
+    wrap_longitude,
+    local_to_coordinates,
+)
 from ..poly import bbox_intersection, common_area, create_vertice
 
 logger = logging.getLogger("pet")
@@ -247,6 +255,23 @@ def add_rotation_type(self):
         new.observations["type_cyc"] = self.sign_type
         return new
 
+    def circle_contour(self):
+        angle = radians(linspace(0, 360, self.track_array_variables))
+        x_norm, y_norm = cos(angle), sin(angle)
+        for i, obs in enumerate(self):
+            r_s, r_e, x, y = (
+                obs["radius_s"],
+                obs["radius_e"],
+                obs["lon"],
+                obs["lat"],
+            )
+            obs["contour_lon_s"], obs["contour_lat_s"] = local_to_coordinates(
+                x_norm * r_s, y_norm * r_s, x, y
+            )
+            obs["contour_lon_e"], obs["contour_lat_e"] = local_to_coordinates(
+                x_norm * r_e, y_norm * r_e, x, y
+            )
+
     @property
     def dtype(self):
         """Return dtype to build numpy array

From 0d09bce98e75d16c460519c546e40fd6934e6e4e Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 29 Jun 2020 15:15:28 +0200
Subject: [PATCH 052/441] indentation correction

---
 .github/workflows/python-app.yml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 2ff39e64..86017a0a 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -31,6 +31,6 @@ jobs:
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-   - name: Test with pytest
-     run: |
-       pytest
+    - name: Test with pytest
+      run: |
+        pytest

From aeeec786c6ad66b483a6562d5b31c89231101b96 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Mon, 29 Jun 2020 15:37:23 +0200
Subject: [PATCH 053/441] add instruction for github workflow

---
 .github/workflows/python-app.yml | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 86017a0a..7c800b33 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -25,6 +25,9 @@ jobs:
         python -m pip install --upgrade pip
         pip install flake8 pytest
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Install package
+      run: |
+        pip install -e .
     - name: Lint with flake8
       run: |
         # stop the build if there are Python syntax errors or undefined names

From 8a32c294e460ff93150e2dfdc2c04728ed519776 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 30 Jun 2020 10:17:47 +0200
Subject: [PATCH 054/441] Add comment to be autonomous to understand figure #13

---
 examples/02_eddy_identification/pet_eddy_detection.py         | 4 +++-
 .../02_eddy_identification/pet_eddy_detection.ipynb           | 2 +-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index c0a87357..5c759584 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -93,7 +93,9 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
-# Display detected eddies
+# Display detected eddies, dashed lines represent effective contour
+# and solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+
 ax = start_axes("Eddies detected")
 a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index ff1304f8..16adca87 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -188,7 +188,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display detected eddies\n\n"
+        "Display detected eddies, dashed lines represent effective contour \nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {

From fead948d42e7f335f43f72053dff961967435bc3 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 14:36:04 +0200
Subject: [PATCH 055/441] quick formating

---
 src/scripts/EddyTracking | 19 +++++++------------
 1 file changed, 7 insertions(+), 12 deletions(-)

diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index 0ab849e5..e8c23f12 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -30,11 +30,10 @@ def browse_dataset_in(
     sub_sampling_step=1,
     files=None,
 ):
+    pattern_regexp = re_compile(".*/" + date_regexp)
     if files is not None:
-        pattern_regexp = re_compile(".*/" + date_regexp)
         filenames = bytes_(files)
     else:
-        pattern_regexp = re_compile(".*/" + date_regexp)
         full_path = join_path(data_dir, files_model)
         logger.info("Search files : %s", full_path)
         filenames = bytes_(glob(full_path))
@@ -148,24 +147,21 @@ if __name__ == "__main__":
     if SAVE_DIR is not None and not exists(SAVE_DIR):
         mkdir(SAVE_DIR)
 
-    YAML_CORRESPONDANCES_IN = CONFIG["PATHS"].get("CORRESPONDANCES_IN", None)
     YAML_CORRESPONDANCES_OUT = CONFIG["PATHS"].get("CORRESPONDANCES_OUT", None)
     if CORRESPONDANCES_IN is None:
-        CORRESPONDANCES_IN = YAML_CORRESPONDANCES_IN
+        CORRESPONDANCES_IN = CONFIG["PATHS"].get("CORRESPONDANCES_IN", None)
     if CORRESPONDANCES_OUT is None:
         CORRESPONDANCES_OUT = YAML_CORRESPONDANCES_OUT
     if YAML_CORRESPONDANCES_OUT is None and CORRESPONDANCES_OUT is None:
         CORRESPONDANCES_OUT = "{path}/{sign_type}_correspondances.nc"
 
+    CLASS = None
     if "CLASS" in CONFIG:
+        CLASSNAME = CONFIG["CLASS"]["CLASS"]
         CLASS = getattr(
-            __import__(
-                CONFIG["CLASS"]["MODULE"], globals(), locals(), CONFIG["CLASS"]["CLASS"]
-            ),
-            CONFIG["CLASS"]["CLASS"],
+            __import__(CONFIG["CLASS"]["MODULE"], globals(), locals(), CLASSNAME),
+            CLASSNAME,
         )
-    else:
-        CLASS = None
 
     NB_VIRTUAL_OBS_MAX_BY_SEGMENT = int(CONFIG.get("VIRTUAL_LENGTH_MAX", 0))
 
@@ -205,11 +201,10 @@ if __name__ == "__main__":
         class_method=CLASS,
         previous_correspondance=CORRESPONDANCES_IN,
     )
-
     CORRESPONDANCES.track()
     logger.info("Track finish")
-    logger.info("Start merging")
 
+    logger.info("Start merging")
     DATE_START, DATE_STOP = CORRESPONDANCES.period
     DICT_COMPLETION = dict(
         date_start=DATE_START,

From 5c05cc6437f838bd1b8dc3a2fb4b41fe80f4bb10 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 14:39:52 +0200
Subject: [PATCH 056/441] read netcdf file in memory

---
 src/py_eddy_tracker/data/__init__.py          | 24 ++++++++++++++++++-
 .../observations/observation.py               | 17 +++++++++----
 2 files changed, 36 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 83203f34..4d34b1be 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -1,5 +1,27 @@
 from os import path
-
+import requests
+import io
+import tarfile
+import lzma
 
 def get_path(name):
     return path.join(path.dirname(__file__), name)
+
+
+def get_remote_sample(path):
+    # url = (
+    # f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
+    # )
+    # content = requests.get(url).content
+    url = f"/home/toto/dev/py-eddy-tracker-sample-id/{path}.tar.xz"
+    content = open(url, "rb").read()
+
+    # Tar module could manage lzma tar, but it will apply un compress for each extractfile
+    tar = tarfile.open(mode="r", fileobj=io.BytesIO(lzma.decompress(content)))
+    # tar = tarfile.open(mode="r:xz", fileobj=io.BytesIO(content))
+    files_content = list()
+    for item in tar:
+        content = tar.extractfile(item)
+        content.filename = item.name
+        files_content.append(content)
+    return files_content
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 781b3539..e67e2bac 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -58,6 +58,7 @@
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
 from tokenize import TokenError
+from tarfile import ExFileObject
 from matplotlib.path import Path as BasePath
 from .. import VAR_DESCR, VAR_DESCR_inv
 from ..generic import (
@@ -431,8 +432,11 @@ def zarr_dimension(filename):
 
     @classmethod
     def load_file(cls, filename, **kwargs):
-        end = b".zarr" if isinstance(filename, bytes) else ".zarr"
-        if filename.endswith(end):
+        filename_ = (
+            filename.filename if isinstance(filename, ExFileObject) else filename
+        )
+        end = b".zarr" if isinstance(filename_, bytes) else ".zarr"
+        if filename_.endswith(end):
             return cls.load_from_zarr(filename, **kwargs)
         else:
             return cls.load_from_netcdf(filename, **kwargs)
@@ -539,9 +543,14 @@ def load_from_netcdf(
         cls, filename, raw_data=False, remove_vars=None, include_vars=None
     ):
         array_dim = "NbSample"
-        if not isinstance(filename, str):
+        if isinstance(filename, bytes):
             filename = filename.astype(str)
-        with Dataset(filename) as h_nc:
+        if isinstance(filename, ExFileObject):
+            filename.seek(0)
+            args, kwargs = ("in-mem-file",), dict(memory=filename.read())
+        else:
+            args, kwargs = (filename,), dict()
+        with Dataset(*args, **kwargs) as h_nc:
             var_list = list(h_nc.variables.keys())
             if include_vars is not None:
                 var_list = [i for i in var_list if i in include_vars]

From 534e882440f7e2b897a7a4d15ba81909faa518d5 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 14:53:57 +0200
Subject: [PATCH 057/441] add missing requirements

---
 requirements.txt |  1 +
 setup.py         | 16 ++------
 share/fig.py     | 95 ++++++++++++++++++++++++------------------------
 3 files changed, 51 insertions(+), 61 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index f754a18e..1edf267d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,6 +7,7 @@ pint
 polygon3
 pyproj
 pyyaml
+requests
 scipy
 zarr
 # for binder
diff --git a/setup.py b/setup.py
index a37fa6bb..cc44fcd5 100644
--- a/setup.py
+++ b/setup.py
@@ -4,6 +4,8 @@
 
 with open("README.md", "r") as fh:
     long_description = fh.read()
+with open("requirements.txt", "r") as fh:
+    requirements = fh.read().split("\n")
 
 setup(
     name="pyEddyTracker",
@@ -44,17 +46,5 @@
         "py_eddy_tracker.featured_tracking": ["*.nc"],
         "py_eddy_tracker": ["data/*.nc"],
     },
-    install_requires=[
-        "matplotlib",
-        "netCDF4>=1.1.0",
-        "numba",
-        "numpy>=1.14",
-        "opencv-python",
-        "pint",
-        "polygon3",
-        "pyproj",
-        "pyyaml",
-        "scipy>=0.15.1",
-        "zarr",
-    ],
+    install_requires=requirements,
 )
diff --git a/share/fig.py b/share/fig.py
index f73c23ec..d4dd4b86 100644
--- a/share/fig.py
+++ b/share/fig.py
@@ -6,56 +6,55 @@
     "longitude",
     "latitude",
 )
-if False:
 
-    h = RegularGridDataset(grid_name, lon_name, lat_name)
+h = RegularGridDataset(grid_name, lon_name, lat_name)
 
-    fig = plt.figure(figsize=(14, 12))
-    ax = fig.add_axes([0.02, 0.51, 0.9, 0.45])
-    ax.set_title("ADT (m)")
-    ax.set_ylim(-75, 75)
-    ax.set_aspect("equal")
-    m = h.display(ax, name="adt", vmin=-1, vmax=1)
-    ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([0.94, 0.51, 0.01, 0.45]))
-    h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter("adt", 500, order=3)
-    ax = fig.add_axes([0.02, 0.02, 0.9, 0.45])
-    ax.set_title("ADT Filtered (m)")
-    ax.set_aspect("equal")
-    ax.set_ylim(-75, 75)
-    m = h.display(ax, name="adt", vmin=-0.1, vmax=0.1)
-    ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.45]))
-    fig.savefig("png/filter.png")
+fig = plt.figure(figsize=(14, 12))
+ax = fig.add_axes([0.02, 0.51, 0.9, 0.45])
+ax.set_title("ADT (m)")
+ax.set_ylim(-75, 75)
+ax.set_aspect("equal")
+m = h.display(ax, name="adt", vmin=-1, vmax=1)
+ax.grid(True)
+plt.colorbar(m, cax=fig.add_axes([0.94, 0.51, 0.01, 0.45]))
+h = RegularGridDataset(grid_name, lon_name, lat_name)
+h.bessel_high_filter("adt", 500, order=3)
+ax = fig.add_axes([0.02, 0.02, 0.9, 0.45])
+ax.set_title("ADT Filtered (m)")
+ax.set_aspect("equal")
+ax.set_ylim(-75, 75)
+m = h.display(ax, name="adt", vmin=-0.1, vmax=0.1)
+ax.grid(True)
+plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.45]))
+fig.savefig("png/filter.png")
 
-if True:
-    import logging
 
-    logging.getLogger().setLevel("DEBUG")  # Values: ERROR, WARNING, INFO, DEBUG
-    from datetime import datetime
+import logging
 
-    h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter("adt", 500, order=3)
-    # h.bessel_high_filter('adt', 300, order=1)
-    date = datetime(2019, 2, 23)
-    a, c = h.eddy_identification(
-        "adt",
-        "ugos",
-        "vgos",  # Variable to use for identification
-        date,  # Date of identification
-        0.002,  # step between two isolines of detection (m)
-        # 0.02, # step between two isolines of detection (m)
-        pixel_limit=(5, 2000),  # Min and max of pixel can be include in contour
-        shape_error=55,  # Error maximal of circle fitting over contour to be accepted
-    )
-    fig = plt.figure(figsize=(15, 7))
-    ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
-    ax.set_title("Eddies detected -- Cyclonic(red) and Anticyclonic(blue)")
-    ax.set_ylim(-75, 75)
-    ax.set_xlim(0, 360)
-    ax.set_aspect("equal")
-    a.display(ax, color="b", linewidth=0.5)
-    c.display(ax, color="r", linewidth=0.5)
-    ax.grid()
-    fig.savefig("png/eddies.png")
+logging.getLogger().setLevel("DEBUG")  # Values: ERROR, WARNING, INFO, DEBUG
+from datetime import datetime
+
+h = RegularGridDataset(grid_name, lon_name, lat_name)
+h.bessel_high_filter("adt", 500, order=3)
+# h.bessel_high_filter('adt', 300, order=1)
+date = datetime(2019, 2, 23)
+a, c = h.eddy_identification(
+    "adt",
+    "ugos",
+    "vgos",  # Variable to use for identification
+    date,  # Date of identification
+    0.002,  # step between two isolines of detection (m)
+    # 0.02, # step between two isolines of detection (m)
+    pixel_limit=(5, 2000),  # Min and max of pixel can be include in contour
+    shape_error=55,  # Error maximal of circle fitting over contour to be accepted
+)
+fig = plt.figure(figsize=(15, 7))
+ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
+ax.set_title("Eddies detected -- Cyclonic(red) and Anticyclonic(blue)")
+ax.set_ylim(-75, 75)
+ax.set_xlim(0, 360)
+ax.set_aspect("equal")
+a.display(ax, color="b", linewidth=0.5)
+c.display(ax, color="r", linewidth=0.5)
+ax.grid()
+fig.savefig("png/eddies.png")

From 5351a17d5911cd67a9f89644112d323070c8469f Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 15:06:09 +0200
Subject: [PATCH 058/441] setup remote url

---
 src/py_eddy_tracker/data/__init__.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 4d34b1be..af806980 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -9,12 +9,10 @@ def get_path(name):
 
 
 def get_remote_sample(path):
-    # url = (
-    # f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
-    # )
-    # content = requests.get(url).content
-    url = f"/home/toto/dev/py-eddy-tracker-sample-id/{path}.tar.xz"
-    content = open(url, "rb").read()
+    url = (
+    f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
+    )
+    content = requests.get(url).content
 
     # Tar module could manage lzma tar, but it will apply un compress for each extractfile
     tar = tarfile.open(mode="r", fileobj=io.BytesIO(lzma.decompress(content)))

From 2aa61911b944a93eab22ca7964ca497eda59579c Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 15:43:12 +0200
Subject: [PATCH 059/441] Add example about tracking

---
 .../pet_run_a_tracking.py                     |  76 ++++++++
 .../pet_eddy_detection.ipynb                  |   2 +-
 .../pet_run_a_tracking.ipynb                  | 180 ++++++++++++++++++
 share/fig.py                                  |   5 +-
 src/py_eddy_tracker/generic.py                |   2 +-
 src/py_eddy_tracker/gui.py                    |   9 +
 tests/test_obs.py                             |   1 -
 7 files changed, 269 insertions(+), 6 deletions(-)
 create mode 100644 examples/08_tracking_manipulation/pet_run_a_tracking.py
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb

diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
new file mode 100644
index 00000000..d8ab4381
--- /dev/null
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -0,0 +1,76 @@
+"""
+Track in python
+===============
+
+This example didn't replace EddyTracking, we remove check that application do and also postprocessing step.
+"""
+
+# %%
+
+from py_eddy_tracker.data import get_remote_sample
+from py_eddy_tracker.tracking import Correspondances
+from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
+from numpy import where, empty
+from py_eddy_tracker.gui import GUI
+
+
+# %%
+# Function to have track with contiguous longitude
+def wrap_longitude(eddies):
+    lon = eddies.longitude
+    first = where(eddies.obs["n"] == 0)[0]
+    nb_obs = empty(first.shape, dtype="u4")
+    nb_obs[:-1] = first[1:] - first[:-1]
+    nb_obs[-1] = lon.shape[0] - first[-1]
+    lon0 = (lon[first] - 180).repeat(nb_obs)
+    lon[:] = (lon - lon0) % 360 + lon0
+
+
+# %%
+# Get remote data, we will keep only 180 first days
+file_objects = get_remote_sample(
+    "eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012"
+)[:180]
+
+# %%
+# We run a traking with a tracker which use contour overlap
+c = Correspondances(datasets=file_objects, class_method=AreaTracker)
+c.track()
+c.prepare_merging()
+# We have now an eddy object
+eddies_area_tracker = c.merge(raw_data=False)
+wrap_longitude(eddies_area_tracker)
+
+# %%
+# We run a traking with default tracker
+c = Correspondances(datasets=file_objects)
+c.track()
+c.prepare_merging()
+eddies_default_tracker = c.merge(raw_data=False)
+wrap_longitude(eddies_default_tracker)
+
+# %%
+# Start GUI to compare tracking
+g = GUI(
+    Acyc_area_tracker=eddies_area_tracker, Acyc_default_tracker=eddies_default_tracker
+)
+g.now = 22000
+g.bbox = 0, 9, 36, 40
+g.adjust()
+g.show()
+
+# %%
+# Start GUI with area tracker
+g = GUI(Acyc_area_tracker=eddies_area_tracker)
+g.now = 22000
+g.bbox = 0, 9, 36, 40
+g.adjust()
+g.show()
+
+# %%
+# Start GUI with default one
+g = GUI(Acyc_default_tracker=eddies_default_tracker)
+g.now = 22000
+g.bbox = 0, 9, 36, 40
+g.adjust()
+g.show()
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 16adca87..b5294ff6 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -188,7 +188,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display detected eddies, dashed lines represent effective contour \nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "Display detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
new file mode 100644
index 00000000..ffcb4f7c
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -0,0 +1,180 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nTrack in python\n===============\n\nThis example didn't replace EddyTracking, we remove check that application do and also postprocessing step.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.tracking import Correspondances\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom numpy import where, empty\nfrom py_eddy_tracker.gui import GUI"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Function to have track with contiguous longitude\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def wrap_longitude(eddies):\n    lon = eddies.longitude\n    first = where(eddies.obs[\"n\"] == 0)[0]\n    nb_obs = empty(first.shape, dtype=\"u4\")\n    nb_obs[:-1] = first[1:] - first[:-1]\n    nb_obs[-1] = lon.shape[0] - first[-1]\n    lon0 = (lon[first] - 180).repeat(nb_obs)\n    lon[:] = (lon - lon0) % 360 + lon0"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get remote data, we will keep only 180 first days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "file_objects = get_remote_sample(\n    \"eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012\"\n)[:180]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We run a traking with a tracker which use contour overlap\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = Correspondances(datasets=file_objects, class_method=AreaTracker)\nc.track()\nc.prepare_merging()\n# We have now an eddy object\neddies_area_tracker = c.merge(raw_data=False)\nwrap_longitude(eddies_area_tracker)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We run a traking with default tracker\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = Correspondances(datasets=file_objects)\nc.track()\nc.prepare_merging()\neddies_default_tracker = c.merge(raw_data=False)\nwrap_longitude(eddies_default_tracker)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Start GUI to compare tracking\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = GUI(\n    Acyc_area_tracker=eddies_area_tracker, Acyc_default_tracker=eddies_default_tracker\n)\ng.now = 22000\ng.bbox = 0, 9, 36, 40\ng.adjust()\ng.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Start GUI with area tracker\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = GUI(Acyc_area_tracker=eddies_area_tracker)\ng.now = 22000\ng.bbox = 0, 9, 36, 40\ng.adjust()\ng.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Start GUI with default one\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = GUI(Acyc_default_tracker=eddies_default_tracker)\ng.now = 22000\ng.bbox = 0, 9, 36, 40\ng.adjust()\ng.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/share/fig.py b/share/fig.py
index d4dd4b86..8640abcb 100644
--- a/share/fig.py
+++ b/share/fig.py
@@ -1,5 +1,7 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
+from datetime import datetime
+import logging
 
 grid_name, lon_name, lat_name = (
     "nrt_global_allsat_phy_l4_20190223_20190226.nc",
@@ -29,10 +31,7 @@
 fig.savefig("png/filter.png")
 
 
-import logging
-
 logging.getLogger().setLevel("DEBUG")  # Values: ERROR, WARNING, INFO, DEBUG
-from datetime import datetime
 
 h = RegularGridDataset(grid_name, lon_name, lat_name)
 h.bessel_high_filter("adt", 500, order=3)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 9f52bb35..0c35370d 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -185,7 +185,7 @@ def fit_circle(x_vec, y_vec):
     datas[:, 0] = 2.0 * (x_vec[1:] - x_mean) / scale
     datas[:, 1] = 2.0 * (y_vec[1:] - y_mean) / scale
 
-    (center_x, center_y, radius), residuals, rank, s = lstsq(datas, norme / norme_max)
+    (center_x, center_y, radius), _, _, _ = lstsq(datas, norme / norme_max)
 
     # Unscale data and get circle variables
     radius += center_x ** 2 + center_y ** 2
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 8d737edd..c9118200 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -108,6 +108,10 @@ def set_initial_values(self):
     def now(self):
         return self.settings["now"]
 
+    @now.setter
+    def now(self, value):
+        self.settings["now"] = value
+
     @property
     def period(self):
         return self.settings["period"]
@@ -116,6 +120,11 @@ def period(self):
     def bbox(self):
         return self.map.get_xlim(), self.map.get_ylim()
 
+    @bbox.setter
+    def bbox(self, values):
+        self.map.set_xlim(values[0], values[1])
+        self.map.set_ylim(values[2], values[3])
+
     def indexs(self, dataset):
         (x0, x1), (y0, y1) = self.bbox
         x, y = dataset.longitude, dataset.latitude
diff --git a/tests/test_obs.py b/tests/test_obs.py
index 50693860..8a38a96a 100644
--- a/tests/test_obs.py
+++ b/tests/test_obs.py
@@ -1,6 +1,5 @@
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.data import get_path
-from netCDF4 import Dataset
 
 a = EddiesObservations.load_file(get_path("Anticyclonic_20190223.nc"))
 c = EddiesObservations.load_file(get_path("Cyclonic_20190223.nc"))

From 2780f468a50b4d281255793765e93f6c7b3d996e Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 1 Jul 2020 22:52:10 +0200
Subject: [PATCH 060/441] Add notebook about filtering

---
 examples/06_grid_manipulation/pet_filter.py   | 144 ++++++++++++
 .../06_grid_manipulation/pet_filter.ipynb     | 205 ++++++++++++++++++
 src/py_eddy_tracker/data/__init__.py          |   1 +
 src/py_eddy_tracker/dataset/grid.py           |   6 +-
 4 files changed, 354 insertions(+), 2 deletions(-)
 create mode 100644 examples/06_grid_manipulation/pet_filter.py
 create mode 100644 notebooks/python_module/06_grid_manipulation/pet_filter.ipynb

diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
new file mode 100644
index 00000000..2be4186a
--- /dev/null
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -0,0 +1,144 @@
+"""
+Grid filtering in PET
+=====================
+
+How filter work in py eddy tracker. This implementation maybe doesn't respect state art, but ...
+
+We code a specific filter in order to filter grid with same wavelength at each pixel.
+"""
+
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+from matplotlib import pyplot as plt
+
+
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# All information will be for regular grid
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+)
+# %%
+# Kernel
+# ------
+# Shape of kernel will increase in x when latitude increase
+fig = plt.figure(figsize=(12, 8))
+for i, latitude in enumerate((15, 35, 55, 75)):
+    k = g.kernel_bessel(latitude, 500, order=3).T
+    ax0 = plt.subplot(
+        2,
+        2,
+        i + 1,
+        title=f"Kernel at {latitude}° of latitude\nfor 1/8° grid, shape : {k.shape}",
+        aspect="equal",
+    )
+    m = ax0.pcolormesh(k, vmin=-0.5, vmax=2, cmap="viridis_r")
+plt.colorbar(m, cax=fig.add_axes((0.92, 0.05, 0.01, 0.9)))
+
+# %%
+# Kernel applying
+# ---------------
+# Original grid
+ax = start_axes("ADT")
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+update_axes(ax, m)
+
+# %%
+# We will select wavelength of 300 km
+#
+# Low frequency
+ax = start_axes("ADT low frequency")
+g.copy("adt", "adt_low")
+g.bessel_low_filter("adt_low", 300, order=3)
+m = g.display(ax, "adt_low", vmin=-0.15, vmax=0.15)
+update_axes(ax, m)
+
+# %%
+# High frequency
+ax = start_axes("ADT high frequency")
+g.copy("adt", "adt_high")
+g.bessel_high_filter("adt_high", 300, order=3)
+m = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
+update_axes(ax, m)
+
+# %%
+# Clues
+# -----
+# wavelength : 80km
+
+g.copy("adt", "adt_high_80")
+g.bessel_high_filter("adt_high_80", 80, order=3)
+g.copy("adt", "adt_low_80")
+g.bessel_low_filter("adt_low_80", 80, order=3)
+
+area = dict(llcrnrlon=11.75, urcrnrlon=21, llcrnrlat=33, urcrnrlat=36.75)
+
+# %%
+# Spectrum
+fig = plt.figure(figsize=(10, 6))
+ax = fig.add_subplot(111)
+ax.set_title("Spectrum")
+ax.set_xlabel("km")
+
+lon_spec, lat_spec = g.spectrum_lonlat("adt", area=area)
+mappable = ax.loglog(*lat_spec, label="lat raw")[0]
+ax.loglog(*lon_spec, label="lon raw", color=mappable.get_color(), linestyle="--")
+
+lon_spec, lat_spec = g.spectrum_lonlat("adt_high_80", area=area)
+mappable = ax.loglog(*lat_spec, label="lat high")[0]
+ax.loglog(*lon_spec, label="lon high", color=mappable.get_color(), linestyle="--")
+
+lon_spec, lat_spec = g.spectrum_lonlat("adt_low_80", area=area)
+mappable = ax.loglog(*lat_spec, label="lat low")[0]
+ax.loglog(*lon_spec, label="lon low", color=mappable.get_color(), linestyle="--")
+
+ax.set_xlim(10, 1000)
+ax.set_ylim(1e-6, 1)
+ax.set_xscale("log")
+ax.legend()
+ax.grid()
+
+# %%
+# Spectrum ratio
+fig = plt.figure(figsize=(10, 6))
+ax = fig.add_subplot(111)
+ax.set_title("Spectrum ratio")
+ax.set_xlabel("km")
+
+lon_spec, lat_spec = g.spectrum_lonlat(
+    "adt_high_80", area=area, ref=g, ref_grid_name="adt"
+)
+mappable = ax.plot(*lat_spec, label="lat high")[0]
+ax.plot(*lon_spec, label="lon high", color=mappable.get_color(), linestyle="--")
+
+lon_spec, lat_spec = g.spectrum_lonlat(
+    "adt_low_80", area=area, ref=g, ref_grid_name="adt"
+)
+mappable = ax.plot(*lat_spec, label="lat low")[0]
+ax.plot(*lon_spec, label="lon low", color=mappable.get_color(), linestyle="--")
+
+ax.set_xlim(10, 1000)
+ax.set_ylim(0, 1)
+ax.set_xscale("log")
+ax.legend()
+ax.grid()
+
+# %%
+# Old filter
+# ----------
+# To do ...
+
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
new file mode 100644
index 00000000..72d96608
--- /dev/null
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -0,0 +1,205 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nGrid filtering in PET\n=====================\n\nHow filter work in py eddy tracker. This implementation maybe doesn't respect state art, but ...\n\nWe code a specific filter in order to filter grid with same wavelength at each pixel.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "All information will be for regular grid\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Kernel\n------\nShape of kernel will increase in x when latitude increase\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 8))\nfor i, latitude in enumerate((15, 35, 55, 75)):\n    k = g.kernel_bessel(latitude, 500, order=3).T\n    ax0 = plt.subplot(\n        2,\n        2,\n        i + 1,\n        title=f\"Kernel at {latitude}\u00b0 of latitude\\nfor 1/8\u00b0 grid, shape : {k.shape}\",\n        aspect=\"equal\",\n    )\n    m = ax0.pcolormesh(k, vmin=-0.5, vmax=2, cmap=\"viridis_r\")\nplt.colorbar(m, cax=fig.add_axes((0.92, 0.05, 0.01, 0.9)))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Kernel applying\n---------------\nOriginal grid\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We will select wavelength of 300 km\n\nLow frequency\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT low frequency\")\ng.copy(\"adt\", \"adt_low\")\ng.bessel_low_filter(\"adt_low\", 300, order=3)\nm = g.display(ax, \"adt_low\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "High frequency\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT high frequency\")\ng.copy(\"adt\", \"adt_high\")\ng.bessel_high_filter(\"adt_high\", 300, order=3)\nm = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Clues\n-----\nwavelength : 80km\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g.copy(\"adt\", \"adt_high_80\")\ng.bessel_high_filter(\"adt_high_80\", 80, order=3)\ng.copy(\"adt\", \"adt_low_80\")\ng.bessel_low_filter(\"adt_low_80\", 80, order=3)\n\narea = dict(llcrnrlon=11.75, urcrnrlon=21, llcrnrlat=33, urcrnrlat=36.75)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Spectrum\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum\")\nax.set_xlabel(\"km\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat raw\")[0]\nax.loglog(*lon_spec, label=\"lon raw\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt_high_80\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat high\")[0]\nax.loglog(*lon_spec, label=\"lon high\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt_low_80\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat low\")[0]\nax.loglog(*lon_spec, label=\"lon low\", color=mappable.get_color(), linestyle=\"--\")\n\nax.set_xlim(10, 1000)\nax.set_ylim(1e-6, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Spectrum ratio\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum ratio\")\nax.set_xlabel(\"km\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\n    \"adt_high_80\", area=area, ref=g, ref_grid_name=\"adt\"\n)\nmappable = ax.plot(*lat_spec, label=\"lat high\")[0]\nax.plot(*lon_spec, label=\"lon high\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\n    \"adt_low_80\", area=area, ref=g, ref_grid_name=\"adt\"\n)\nmappable = ax.plot(*lat_spec, label=\"lat low\")[0]\nax.plot(*lon_spec, label=\"lon low\", color=mappable.get_color(), linestyle=\"--\")\n\nax.set_xlim(10, 1000)\nax.set_ylim(0, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Old filter\n----------\nTo do ...\n\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index af806980..9664a004 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -4,6 +4,7 @@
 import tarfile
 import lzma
 
+
 def get_path(name):
     return path.join(path.dirname(__file__), name)
 
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d7325a4c..b6a56369 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1471,7 +1471,8 @@ def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
             pws.append(pw)
         if nb_invalid:
             logger.warning("%d/%d columns invalid", nb_invalid, i + 1)
-        lat_content = 1 / f, array(pws).mean(axis=0)
+        with errstate(divide="ignore"):
+            lat_content = 1 / f, array(pws).mean(axis=0)
 
         # Lon spectrum
         fs, pws = list(), list()
@@ -1500,7 +1501,8 @@ def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
                 for f, pw in zip(fs, pws)
             ]
         ).mean(axis=0)
-        lon_content = 1 / f_interp, pw_m
+        with errstate(divide="ignore"):
+            lon_content = 1 / f_interp, pw_m
         if ref is None:
             return lon_content, lat_content
         else:

From 146c57898c55a6c899e73cdd51d7bc2c4fc50f28 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 2 Jul 2020 10:10:21 +0200
Subject: [PATCH 061/441] split kernel function for filtering to simplify

---
 examples/06_grid_manipulation/pet_filter.py   | 78 +++++++++--------
 .../pet_run_a_tracking.py                     | 23 ++---
 .../06_grid_manipulation/pet_filter.ipynb     | 34 ++++++--
 .../pet_run_a_tracking.ipynb                  | 24 +-----
 src/py_eddy_tracker/data/__init__.py          |  3 +-
 src/py_eddy_tracker/dataset/grid.py           | 86 +++++++++----------
 6 files changed, 121 insertions(+), 127 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index 2be4186a..83d687af 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -10,6 +10,7 @@
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
 from matplotlib import pyplot as plt
+from numpy import arange
 
 
 def start_axes(title):
@@ -35,11 +36,11 @@ def update_axes(ax, mappable=None):
 # %%
 # Kernel
 # ------
-# Shape of kernel will increase in x when latitude increase
+# Shape of kernel will increase in x, when latitude increase
 fig = plt.figure(figsize=(12, 8))
 for i, latitude in enumerate((15, 35, 55, 75)):
     k = g.kernel_bessel(latitude, 500, order=3).T
-    ax0 = plt.subplot(
+    ax0 = fig.add_subplot(
         2,
         2,
         i + 1,
@@ -49,6 +50,26 @@ def update_axes(ax, mappable=None):
     m = ax0.pcolormesh(k, vmin=-0.5, vmax=2, cmap="viridis_r")
 plt.colorbar(m, cax=fig.add_axes((0.92, 0.05, 0.01, 0.9)))
 
+# %%
+# Kernel along latitude
+
+fig = plt.figure(figsize=(12, 8))
+ax = fig.add_subplot(
+    111,
+    ylabel="Kernel weight",
+    xlabel="Latitude in °",
+    title="Kernel in latitude, centered at 0° of latitude ",
+)
+k = g.kernel_bessel(0, 500, order=3)
+k_lat = k[k.shape[0] // 2 + 1]
+nb = k_lat.shape[0] // 2
+ax.plot(
+    arange(-nb * g.xstep, (nb + 0.5) * g.xstep, g.xstep), k_lat, label="Bessel kernel"
+)
+
+ax.legend()
+ax.grid()
+
 # %%
 # Kernel applying
 # ---------------
@@ -62,17 +83,17 @@ def update_axes(ax, mappable=None):
 #
 # Low frequency
 ax = start_axes("ADT low frequency")
-g.copy("adt", "adt_low")
-g.bessel_low_filter("adt_low", 300, order=3)
-m = g.display(ax, "adt_low", vmin=-0.15, vmax=0.15)
+g.copy("adt", "adt_low_300")
+g.bessel_low_filter("adt_low_300", 300, order=3)
+m = g.display(ax, "adt_low_300", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
 # %%
 # High frequency
 ax = start_axes("ADT high frequency")
-g.copy("adt", "adt_high")
-g.bessel_high_filter("adt_high", 300, order=3)
-m = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
+g.copy("adt", "adt_high_300")
+g.bessel_high_filter("adt_high_300", 300, order=3)
+m = g.display(ax, "adt_high_300", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
 # %%
@@ -80,10 +101,10 @@ def update_axes(ax, mappable=None):
 # -----
 # wavelength : 80km
 
-g.copy("adt", "adt_high_80")
-g.bessel_high_filter("adt_high_80", 80, order=3)
-g.copy("adt", "adt_low_80")
-g.bessel_low_filter("adt_low_80", 80, order=3)
+g.copy("adt", "adt_high_bessel")
+g.bessel_high_filter("adt_high_bessel", 80, order=3)
+g.copy("adt", "adt_low_bessel")
+g.bessel_low_filter("adt_low_bessel", 80, order=3)
 
 area = dict(llcrnrlon=11.75, urcrnrlon=21, llcrnrlat=33, urcrnrlat=36.75)
 
@@ -94,17 +115,12 @@ def update_axes(ax, mappable=None):
 ax.set_title("Spectrum")
 ax.set_xlabel("km")
 
-lon_spec, lat_spec = g.spectrum_lonlat("adt", area=area)
-mappable = ax.loglog(*lat_spec, label="lat raw")[0]
-ax.loglog(*lon_spec, label="lon raw", color=mappable.get_color(), linestyle="--")
-
-lon_spec, lat_spec = g.spectrum_lonlat("adt_high_80", area=area)
-mappable = ax.loglog(*lat_spec, label="lat high")[0]
-ax.loglog(*lon_spec, label="lon high", color=mappable.get_color(), linestyle="--")
-
-lon_spec, lat_spec = g.spectrum_lonlat("adt_low_80", area=area)
-mappable = ax.loglog(*lat_spec, label="lat low")[0]
-ax.loglog(*lon_spec, label="lon low", color=mappable.get_color(), linestyle="--")
+for label in ("adt_high_bessel", "adt_low_bessel", "adt"):
+    lon_spec, lat_spec = g.spectrum_lonlat(label, area=area)
+    mappable = ax.loglog(*lat_spec, label=f"lat {label}")[0]
+    ax.loglog(
+        *lon_spec, label=f"lon {label}", color=mappable.get_color(), linestyle="--"
+    )
 
 ax.set_xlim(10, 1000)
 ax.set_ylim(1e-6, 1)
@@ -119,17 +135,10 @@ def update_axes(ax, mappable=None):
 ax.set_title("Spectrum ratio")
 ax.set_xlabel("km")
 
-lon_spec, lat_spec = g.spectrum_lonlat(
-    "adt_high_80", area=area, ref=g, ref_grid_name="adt"
-)
-mappable = ax.plot(*lat_spec, label="lat high")[0]
-ax.plot(*lon_spec, label="lon high", color=mappable.get_color(), linestyle="--")
-
-lon_spec, lat_spec = g.spectrum_lonlat(
-    "adt_low_80", area=area, ref=g, ref_grid_name="adt"
-)
-mappable = ax.plot(*lat_spec, label="lat low")[0]
-ax.plot(*lon_spec, label="lon low", color=mappable.get_color(), linestyle="--")
+for label in ("adt_high_bessel", "adt_low_bessel"):
+    lon_spec, lat_spec = g.spectrum_lonlat(label, area=area, ref=g, ref_grid_name="adt")
+    mappable = ax.plot(*lat_spec, label=f"lat {label}")[0]
+    ax.plot(*lon_spec, label=f"lon {label}", color=mappable.get_color(), linestyle="--")
 
 ax.set_xlim(10, 1000)
 ax.set_ylim(0, 1)
@@ -141,4 +150,3 @@ def update_axes(ax, mappable=None):
 # Old filter
 # ----------
 # To do ...
-
diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
index d8ab4381..8349bb05 100644
--- a/examples/08_tracking_manipulation/pet_run_a_tracking.py
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -10,22 +10,9 @@
 from py_eddy_tracker.data import get_remote_sample
 from py_eddy_tracker.tracking import Correspondances
 from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
-from numpy import where, empty
 from py_eddy_tracker.gui import GUI
 
 
-# %%
-# Function to have track with contiguous longitude
-def wrap_longitude(eddies):
-    lon = eddies.longitude
-    first = where(eddies.obs["n"] == 0)[0]
-    nb_obs = empty(first.shape, dtype="u4")
-    nb_obs[:-1] = first[1:] - first[:-1]
-    nb_obs[-1] = lon.shape[0] - first[-1]
-    lon0 = (lon[first] - 180).repeat(nb_obs)
-    lon[:] = (lon - lon0) % 360 + lon0
-
-
 # %%
 # Get remote data, we will keep only 180 first days
 file_objects = get_remote_sample(
@@ -34,20 +21,22 @@ def wrap_longitude(eddies):
 
 # %%
 # We run a traking with a tracker which use contour overlap
-c = Correspondances(datasets=file_objects, class_method=AreaTracker)
+c = Correspondances(datasets=file_objects, class_method=AreaTracker, virtual=3)
 c.track()
 c.prepare_merging()
 # We have now an eddy object
 eddies_area_tracker = c.merge(raw_data=False)
-wrap_longitude(eddies_area_tracker)
+eddies_area_tracker["virtual"][:] = eddies_area_tracker["time"] == 0
+eddies_area_tracker.filled_by_interpolation(eddies_area_tracker["virtual"] == 1)
 
 # %%
 # We run a traking with default tracker
-c = Correspondances(datasets=file_objects)
+c = Correspondances(datasets=file_objects, virtual=3)
 c.track()
 c.prepare_merging()
 eddies_default_tracker = c.merge(raw_data=False)
-wrap_longitude(eddies_default_tracker)
+eddies_default_tracker["virtual"][:] = eddies_default_tracker["time"] == 0
+eddies_default_tracker.filled_by_interpolation(eddies_default_tracker["virtual"] == 1)
 
 # %%
 # Start GUI to compare tracking
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index 72d96608..f4f798a6 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Kernel\n------\nShape of kernel will increase in x when latitude increase\n\n"
+        "Kernel\n------\nShape of kernel will increase in x, when latitude increase\n\n"
       ]
     },
     {
@@ -62,7 +62,25 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 8))\nfor i, latitude in enumerate((15, 35, 55, 75)):\n    k = g.kernel_bessel(latitude, 500, order=3).T\n    ax0 = plt.subplot(\n        2,\n        2,\n        i + 1,\n        title=f\"Kernel at {latitude}\u00b0 of latitude\\nfor 1/8\u00b0 grid, shape : {k.shape}\",\n        aspect=\"equal\",\n    )\n    m = ax0.pcolormesh(k, vmin=-0.5, vmax=2, cmap=\"viridis_r\")\nplt.colorbar(m, cax=fig.add_axes((0.92, 0.05, 0.01, 0.9)))"
+        "fig = plt.figure(figsize=(12, 8))\nfor i, latitude in enumerate((15, 35, 55, 75)):\n    k = g.kernel_bessel(latitude, 500, order=3).T\n    ax0 = fig.add_subplot(\n        2,\n        2,\n        i + 1,\n        title=f\"Kernel at {latitude}\u00b0 of latitude\\nfor 1/8\u00b0 grid, shape : {k.shape}\",\n        aspect=\"equal\",\n    )\n    m = ax0.pcolormesh(k, vmin=-0.5, vmax=2, cmap=\"viridis_r\")\nplt.colorbar(m, cax=fig.add_axes((0.92, 0.05, 0.01, 0.9)))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Kernel along latitude\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 8))\nax = fig.add_subplot(\n    111,\n    ylabel=\"Kernel weight\",\n    xlabel=\"Latitude in \u00b0\",\n    title=\"Kernel in latitude, centered at 0\u00b0 of latitude \",\n)\nk = g.kernel_bessel(0, 500, order=3)\nk_lat = k[k.shape[0] // 2 + 1]\nnb = k_lat.shape[0] // 2\nax.plot(\n    arange(-nb * g.xstep, (nb + 0.5) * g.xstep, g.xstep), k_lat, label=\"Bessel kernel\"\n)\n\nax.legend()\nax.grid()"
       ]
     },
     {
@@ -98,7 +116,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT low frequency\")\ng.copy(\"adt\", \"adt_low\")\ng.bessel_low_filter(\"adt_low\", 300, order=3)\nm = g.display(ax, \"adt_low\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"ADT low frequency\")\ng.copy(\"adt\", \"adt_low_300\")\ng.bessel_low_filter(\"adt_low_300\", 300, order=3)\nm = g.display(ax, \"adt_low_300\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
       ]
     },
     {
@@ -116,7 +134,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT high frequency\")\ng.copy(\"adt\", \"adt_high\")\ng.bessel_high_filter(\"adt_high\", 300, order=3)\nm = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"ADT high frequency\")\ng.copy(\"adt\", \"adt_high_300\")\ng.bessel_high_filter(\"adt_high_300\", 300, order=3)\nm = g.display(ax, \"adt_high_300\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
       ]
     },
     {
@@ -134,7 +152,7 @@
       },
       "outputs": [],
       "source": [
-        "g.copy(\"adt\", \"adt_high_80\")\ng.bessel_high_filter(\"adt_high_80\", 80, order=3)\ng.copy(\"adt\", \"adt_low_80\")\ng.bessel_low_filter(\"adt_low_80\", 80, order=3)\n\narea = dict(llcrnrlon=11.75, urcrnrlon=21, llcrnrlat=33, urcrnrlat=36.75)"
+        "g.copy(\"adt\", \"adt_high_bessel\")\ng.bessel_high_filter(\"adt_high_bessel\", 80, order=3)\ng.copy(\"adt\", \"adt_low_bessel\")\ng.bessel_low_filter(\"adt_low_bessel\", 80, order=3)\n\narea = dict(llcrnrlon=11.75, urcrnrlon=21, llcrnrlat=33, urcrnrlat=36.75)"
       ]
     },
     {
@@ -152,7 +170,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum\")\nax.set_xlabel(\"km\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat raw\")[0]\nax.loglog(*lon_spec, label=\"lon raw\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt_high_80\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat high\")[0]\nax.loglog(*lon_spec, label=\"lon high\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\"adt_low_80\", area=area)\nmappable = ax.loglog(*lat_spec, label=\"lat low\")[0]\nax.loglog(*lon_spec, label=\"lon low\", color=mappable.get_color(), linestyle=\"--\")\n\nax.set_xlim(10, 1000)\nax.set_ylim(1e-6, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
+        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum\")\nax.set_xlabel(\"km\")\n\nfor label in (\"adt_high_bessel\", \"adt_low_bessel\", \"adt\"):\n    lon_spec, lat_spec = g.spectrum_lonlat(label, area=area)\n    mappable = ax.loglog(*lat_spec, label=f\"lat {label}\")[0]\n    ax.loglog(\n        *lon_spec, label=f\"lon {label}\", color=mappable.get_color(), linestyle=\"--\"\n    )\n\nax.set_xlim(10, 1000)\nax.set_ylim(1e-6, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
       ]
     },
     {
@@ -170,7 +188,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum ratio\")\nax.set_xlabel(\"km\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\n    \"adt_high_80\", area=area, ref=g, ref_grid_name=\"adt\"\n)\nmappable = ax.plot(*lat_spec, label=\"lat high\")[0]\nax.plot(*lon_spec, label=\"lon high\", color=mappable.get_color(), linestyle=\"--\")\n\nlon_spec, lat_spec = g.spectrum_lonlat(\n    \"adt_low_80\", area=area, ref=g, ref_grid_name=\"adt\"\n)\nmappable = ax.plot(*lat_spec, label=\"lat low\")[0]\nax.plot(*lon_spec, label=\"lon low\", color=mappable.get_color(), linestyle=\"--\")\n\nax.set_xlim(10, 1000)\nax.set_ylim(0, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
+        "fig = plt.figure(figsize=(10, 6))\nax = fig.add_subplot(111)\nax.set_title(\"Spectrum ratio\")\nax.set_xlabel(\"km\")\n\nfor label in (\"adt_high_bessel\", \"adt_low_bessel\"):\n    lon_spec, lat_spec = g.spectrum_lonlat(label, area=area, ref=g, ref_grid_name=\"adt\")\n    mappable = ax.plot(*lat_spec, label=f\"lat {label}\")[0]\n    ax.plot(*lon_spec, label=f\"lon {label}\", color=mappable.get_color(), linestyle=\"--\")\n\nax.set_xlim(10, 1000)\nax.set_ylim(0, 1)\nax.set_xscale(\"log\")\nax.legend()\nax.grid()"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index ffcb4f7c..3f00ff96 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -26,25 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.tracking import Correspondances\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom numpy import where, empty\nfrom py_eddy_tracker.gui import GUI"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Function to have track with contiguous longitude\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "def wrap_longitude(eddies):\n    lon = eddies.longitude\n    first = where(eddies.obs[\"n\"] == 0)[0]\n    nb_obs = empty(first.shape, dtype=\"u4\")\n    nb_obs[:-1] = first[1:] - first[:-1]\n    nb_obs[-1] = lon.shape[0] - first[-1]\n    lon0 = (lon[first] - 180).repeat(nb_obs)\n    lon[:] = (lon - lon0) % 360 + lon0"
+        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.tracking import Correspondances\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom py_eddy_tracker.gui import GUI"
       ]
     },
     {
@@ -80,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "c = Correspondances(datasets=file_objects, class_method=AreaTracker)\nc.track()\nc.prepare_merging()\n# We have now an eddy object\neddies_area_tracker = c.merge(raw_data=False)\nwrap_longitude(eddies_area_tracker)"
+        "c = Correspondances(datasets=file_objects, class_method=AreaTracker, virtual=3)\nc.track()\nc.prepare_merging()\n# We have now an eddy object\neddies_area_tracker = c.merge(raw_data=False)\neddies_area_tracker[\"virtual\"][:] = eddies_area_tracker[\"time\"] == 0\neddies_area_tracker.filled_by_interpolation(eddies_area_tracker[\"virtual\"] == 1)"
       ]
     },
     {
@@ -98,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "c = Correspondances(datasets=file_objects)\nc.track()\nc.prepare_merging()\neddies_default_tracker = c.merge(raw_data=False)\nwrap_longitude(eddies_default_tracker)"
+        "c = Correspondances(datasets=file_objects, virtual=3)\nc.track()\nc.prepare_merging()\neddies_default_tracker = c.merge(raw_data=False)\neddies_default_tracker[\"virtual\"][:] = eddies_default_tracker[\"time\"] == 0\neddies_default_tracker.filled_by_interpolation(eddies_default_tracker[\"virtual\"] == 1)"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 9664a004..f5d3aaae 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -11,8 +11,9 @@ def get_path(name):
 
 def get_remote_sample(path):
     url = (
-    f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
+        f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
     )
+
     content = requests.get(url).content
 
     # Tar module could manage lzma tar, but it will apply un compress for each extractfile
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index b6a56369..832e417b 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1213,57 +1213,26 @@ def is_circular(self):
             )
         return self._is_circular
 
-    def kernel_lanczos(self, lat, wave_length, order=1):
-        # Not really operational
-        # wave_length in km
-        # order must be int
+    @staticmethod
+    def check_order(order):
         if order < 1:
             logger.warning("order must be superior to 0")
-        order = ceil(order).astype(int)
-        # Estimate size of kernel
-        step_y_km = self.ystep * distance(0, 0, 0, 1) / 1000
-        step_x_km = self.xstep * distance(0, lat, 1, lat) / 1000
-        # half size will be multiply with by order
-        half_x_pt, half_y_pt = (
-            ceil(wave_length / step_x_km).astype(int),
-            ceil(wave_length / step_y_km).astype(int),
-        )
-
-        y = arange(
-            lat - self.ystep * half_y_pt * order,
-            lat + self.ystep * half_y_pt * order + 0.01 * self.ystep,
-            self.ystep,
-        )
-        x = arange(
-            -self.xstep * half_x_pt * order,
-            self.xstep * half_x_pt * order + 0.01 * self.xstep,
-            self.xstep,
-        )
-
-        y, x = meshgrid(y, x)
-        dist_norm = distance(0, lat, x, y) / 1000.0 / wave_length
-
-        # sinc(d_x) and sinc(d_y) are windows and bessel function give an equivalent of sinc for lanczos filter
-        kernel = sinc(dist_norm / order) * sinc(dist_norm)
-        kernel[dist_norm > order] = 0
-        return kernel
+        return ceil(order).astype(int)
 
-    def kernel_bessel(self, lat, wave_length, order=1):
-        # wave_length in km
-        # order must be int
-        if order < 1:
-            logger.warning("order must be superior to 0")
-        order = ceil(order).astype(int)
-        # Estimate size of kernel
+    def get_step_in_km(self, lat, wave_length):
         step_y_km = self.ystep * distance(0, 0, 0, 1) / 1000
         step_x_km = self.xstep * distance(0, lat, 1, lat) / 1000
-        min_wave_length = max(step_x_km * 2, step_y_km * 2)
+        min_wave_length = max(step_x_km, step_y_km) * 2
         if wave_length < min_wave_length:
             logger.error(
                 "Wave_length too short for resolution, must be > %d km",
                 ceil(min_wave_length),
             )
             raise Exception()
+        return step_x_km, step_y_km
+
+    def estimate_kernel_shape(self, lat, wave_length, order):
+        step_x_km, step_y_km = self.get_step_in_km(lat, wave_length)
         # half size will be multiply with by order
         half_x_pt, half_y_pt = (
             ceil(wave_length / step_x_km).astype(int),
@@ -1279,11 +1248,9 @@ def kernel_bessel(self, lat, wave_length, order=1):
         x = arange(0, self.xstep * half_x_pt * order + 0.01 * self.xstep, self.xstep)
         y, x = meshgrid(y, x)
         dist_norm = distance(0, lat, x, y) / 1000.0 / wave_length
-        # sinc(d_x) and sinc(d_y) are windows and bessel function give an equivalent of sinc for lanczos filter
-        with errstate(invalid="ignore"):
-            kernel = sinc(dist_norm / order) * j1(2 * pi * dist_norm) / dist_norm
-        kernel[0, half_y_pt * order] = pi
-        kernel[dist_norm > order] = 0
+        return half_x_pt, half_y_pt, dist_norm
+
+    def finalize_kernel(self, kernel, order, half_x_pt, half_y_pt):
         # Symetry
         kernel_ = empty((half_x_pt * 2 * order + 1, half_y_pt * 2 * order + 1))
         kernel_[half_x_pt * order :] = kernel
@@ -1296,6 +1263,33 @@ def kernel_bessel(self, lat, wave_length, order=1):
         y_slice = slice(y_valid[0], y_valid[-1] + 1)
         return kernel_[x_slice, y_slice]
 
+    def kernel_lanczos(self, lat, wave_length, order=1):
+        """Not really operational
+        wave_length in km
+        order must be int
+        """
+        order = self.check_order(order)
+        half_x_pt, half_y_pt, dist_norm = self.estimate_kernel_shape(
+            lat, wave_length, order
+        )
+        kernel = sinc(dist_norm / order) * sinc(dist_norm)
+        kernel[dist_norm > order] = 0
+        return self.finalize_kernel(kernel, order, half_x_pt, half_y_pt)
+
+    def kernel_bessel(self, lat, wave_length, order=1):
+        """wave_length in km
+        order must be int
+        """
+        order = self.check_order(order)
+        half_x_pt, half_y_pt, dist_norm = self.estimate_kernel_shape(
+            lat, wave_length, order
+        )
+        with errstate(invalid="ignore"):
+            kernel = sinc(dist_norm / order) * j1(2 * pi * dist_norm) / dist_norm
+        kernel[0, half_y_pt * order] = pi
+        kernel[dist_norm > order] = 0
+        return self.finalize_kernel(kernel, order, half_x_pt, half_y_pt)
+
     def _low_filter(self, grid_name, w_cut, **kwargs):
         """low filtering
         """
@@ -1391,6 +1385,7 @@ def convolve_filter_with_dynamic_kernel(
     def lanczos_high_filter(
         self, grid_name, wave_length, order=1, lat_max=85, **kwargs
     ):
+        logger.warning("It could be not safe to use lanczos filter")
         data_out = self.convolve_filter_with_dynamic_kernel(
             grid_name,
             self.kernel_lanczos,
@@ -1402,6 +1397,7 @@ def lanczos_high_filter(
         self.vars[grid_name] -= data_out
 
     def lanczos_low_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
+        logger.warning("It could be not safe to use lanczos filter")
         data_out = self.convolve_filter_with_dynamic_kernel(
             grid_name,
             self.kernel_lanczos,

From d96823c5f1901aa3c982345c5a3151d31440e396 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 2 Jul 2020 21:21:19 +0200
Subject: [PATCH 062/441] Add an example about filtering needs for detection

---
 .../pet_filter_and_detection.py               | 106 ++++++++++++
 .../pet_filter_and_detection.ipynb            | 155 ++++++++++++++++++
 2 files changed, 261 insertions(+)
 create mode 100644 examples/02_eddy_identification/pet_filter_and_detection.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
new file mode 100644
index 00000000..eeb7eba8
--- /dev/null
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -0,0 +1,106 @@
+"""
+Eddy detection and filter
+=========================
+
+"""
+from datetime import datetime
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+from numpy import arange
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load Input grid, ADT will be used to detect eddies
+
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+)
+g.add_uv("adt")
+g.copy("adt", "adt_high")
+wavelength = 400
+g.bessel_high_filter("adt_high", wavelength, order=3)
+date = datetime(2016, 5, 15)
+
+# %%
+# Run algorithm of detection
+a_f, c_f = g.eddy_identification("adt_high", "u", "v", date, 0.002)
+merge_f = a_f.merge(c_f)
+a_r, c_r = g.eddy_identification("adt", "u", "v", date, 0.002)
+merge_r = a_r.merge(c_r)
+
+# %%
+# Display detection
+ax = start_axes("Eddies detected over ADT")
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+merge_f.display(ax, lw=0.5, label="Eddy from filtered grid", ref=-10, color="k")
+merge_r.display(ax, lw=0.5, label="Eddy from raw grid", ref=-10, color="r")
+ax.legend()
+update_axes(ax, m)
+
+# %%
+# Parameters distribution
+# -----------------------
+fig = plt.figure(figsize=(12, 5))
+ax_a = plt.subplot(121, xlabel="amplitdue(cm)")
+ax_r = plt.subplot(122, xlabel="speed radius (km)")
+ax_a.grid(), ax_r.grid()
+ax_a.hist(
+    merge_f["amplitude"] * 100,
+    bins=arange(0.0005, 100, 1),
+    label="Eddy from filtered grid",
+    histtype="step",
+)
+ax_a.hist(
+    merge_r["amplitude"] * 100,
+    bins=arange(0.0005, 100, 1),
+    label="Eddy from raw grid",
+    histtype="step",
+)
+ax_a.set_xlim(0, 10)
+ax_r.hist(merge_f["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
+ax_r.hist(merge_r["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
+ax_r.set_xlim(0, 100)
+ax_a.legend()
+
+# %%
+# Match detection and compare
+# ---------------------------
+
+i, j, c = merge_f.match(merge_r)
+m = c > 0.1
+i_, j_ = i[m], j[m]
+fig = plt.figure(figsize=(12, 12))
+fig.suptitle(f"Scatter plot of speed_radius(km) ({m.sum()} matches)")
+
+for i, (label, field, factor, stop) in enumerate(
+    zip(
+        ("speed radius (km)", "outter radius (km)", "amplitude (cm)"),
+        ("radius_s", "radius_e", "amplitude"),
+        (0.001, 0.001, 100),
+        (80, 120, 25),
+    )
+):
+    ax = fig.add_subplot(
+        2, 2, i + 1, xlabel="filtered grid", ylabel="raw grid", title=label
+    )
+    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, ".")
+    ax.set_aspect("equal"), ax.grid()
+    ax.plot((0, 1000), (0, 1000), "r")
+    ax.set_xlim(0, stop), ax.set_ylim(0, stop)
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
new file mode 100644
index 00000000..a6b8981b
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -0,0 +1,155 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nEddy detection and filter\n=========================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom numpy import arange"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT will be used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 400\ng.bessel_high_filter(\"adt_high\", wavelength, order=3)\ndate = datetime(2016, 5, 15)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Run algorithm of detection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a_f, c_f = g.eddy_identification(\"adt_high\", \"u\", \"v\", date, 0.002)\nmerge_f = a_f.merge(c_f)\na_r, c_r = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)\nmerge_r = a_r.merge(c_r)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display detection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.5, label=\"Eddy from filtered grid\", ref=-10, color=\"k\")\nmerge_r.display(ax, lw=0.5, label=\"Eddy from raw grid\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Parameters distribution\n-----------------------\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nax_a = plt.subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = plt.subplot(122, xlabel=\"speed radius (km)\")\nax_a.grid(), ax_r.grid()\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Match detection and compare\n---------------------------\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i, j, c = merge_f.match(merge_r)\nm = c > 0.1\ni_, j_ = i[m], j[m]\nfig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot of speed_radius(km) ({m.sum()} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    zip(\n        (\"speed radius (km)\", \"outter radius (km)\", \"amplitude (cm)\"),\n        (\"radius_s\", \"radius_e\", \"amplitude\"),\n        (0.001, 0.001, 100),\n        (80, 120, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file

From 2435ae9bd8130ab7916baa4a92ee86c202b92b15 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 3 Jul 2020 10:04:08 +0200
Subject: [PATCH 063/441] improve diagnostic for filter and detection

---
 .../pet_eddy_detection.py                     | 14 +++++--
 .../pet_filter_and_detection.py               | 40 +++++++++++++++----
 .../pet_eddy_detection.ipynb                  | 10 ++---
 .../pet_filter_and_detection.ipynb            | 37 +++++++++++++++--
 src/py_eddy_tracker/generic.py                | 10 ++++-
 5 files changed, 90 insertions(+), 21 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 5c759584..25be4901 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -40,6 +40,8 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m)
 
 # %%
+# Get u/v
+# -------
 # U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2°)
 g.add_uv("adt")
 ax = start_axes("U/V deduce from ADT (m)")
@@ -50,14 +52,18 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m)
 
 # %%
+# Pre-processings
+# ---------------
 # Apply high filter to remove long scale to highlight mesoscale
-g.bessel_high_filter("adt", 500, order=2)
-ax = start_axes("ADT (m) filtered (500km, order 2)")
+g.bessel_high_filter("adt", 500)
+ax = start_axes("ADT (m) filtered (500km)")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
 update_axes(ax, m)
 
 # %%
-#  Run identification with slice of 2 mm
+# Identification
+# --------------
+# run identification with slice of 2 mm
 date = datetime(2016, 5, 15)
 a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
 
@@ -93,6 +99,8 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
+# Output
+# ------
 # Display detected eddies, dashed lines represent effective contour
 # and solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index eeb7eba8..72abefdd 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -7,6 +7,7 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
+from py_eddy_tracker.generic import reverse_index
 from numpy import arange
 
 
@@ -35,7 +36,7 @@ def update_axes(ax, mappable=None):
 g.add_uv("adt")
 g.copy("adt", "adt_high")
 wavelength = 400
-g.bessel_high_filter("adt_high", wavelength, order=3)
+g.bessel_high_filter("adt_high", wavelength)
 date = datetime(2016, 5, 15)
 
 # %%
@@ -60,7 +61,6 @@ def update_axes(ax, mappable=None):
 fig = plt.figure(figsize=(12, 5))
 ax_a = plt.subplot(121, xlabel="amplitdue(cm)")
 ax_r = plt.subplot(122, xlabel="speed radius (km)")
-ax_a.grid(), ax_r.grid()
 ax_a.hist(
     merge_f["amplitude"] * 100,
     bins=arange(0.0005, 100, 1),
@@ -86,15 +86,39 @@ def update_axes(ax, mappable=None):
 i, j, c = merge_f.match(merge_r)
 m = c > 0.1
 i_, j_ = i[m], j[m]
+
+
+# %%
+# where is lonely eddies
+kwargs_f = dict(lw=1.5, label="Lonely eddy from filtered grid", ref=-10, color="k")
+kwargs_r = dict(lw=1.5, label="Lonely eddy from raw grid", ref=-10, color="r")
+ax = start_axes("Eddies with no match, over filtered ADT")
+mappable = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
+merge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)
+merge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)
+ax.legend()
+update_axes(ax, mappable)
+
+ax = start_axes("Eddies with no match, over filtered ADT (zoom)")
+ax.set_xlim(25, 36), ax.set_ylim(31, 35.25)
+mappable = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
+u, v = g.grid("u").T, g.grid("v").T
+ax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot="mid", color="gray")
+merge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)
+merge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)
+ax.legend()
+update_axes(ax, mappable)
+
+# %%
 fig = plt.figure(figsize=(12, 12))
-fig.suptitle(f"Scatter plot of speed_radius(km) ({m.sum()} matches)")
+fig.suptitle(f"Scatter plot ({m.sum()} matches)")
 
 for i, (label, field, factor, stop) in enumerate(
-    zip(
-        ("speed radius (km)", "outter radius (km)", "amplitude (cm)"),
-        ("radius_s", "radius_e", "amplitude"),
-        (0.001, 0.001, 100),
-        (80, 120, 25),
+    (
+        ("speed radius (km)", "radius_s", 0.001, 80),
+        ("outter radius (km)", "radius_e", 0.001, 120),
+        ("amplitude (cm)", "amplitude", 100, 25),
+        ("speed max (cm/s)", "speed_average", 100, 25),
     )
 ):
     ax = fig.add_subplot(
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index b5294ff6..8a6708a3 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+        "Get u/v\n-------\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Apply high filter to remove long scale to highlight mesoscale\n\n"
+        "Pre-processings\n---------------\nApply high filter to remove long scale to highlight mesoscale\n\n"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "g.bessel_high_filter(\"adt\", 500, order=2)\nax = start_axes(\"ADT (m) filtered (500km, order 2)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+        "g.bessel_high_filter(\"adt\", 500)\nax = start_axes(\"ADT (m) filtered (500km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Run identification with slice of 2 mm\n\n"
+        "Identification\n--------------\nrun identification with slice of 2 mm\n\n"
       ]
     },
     {
@@ -188,7 +188,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "Output\n------\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index a6b8981b..507baecc 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom numpy import arange"
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import reverse_index\nfrom numpy import arange"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 400\ng.bessel_high_filter(\"adt_high\", wavelength, order=3)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 400\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax_a = plt.subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = plt.subplot(122, xlabel=\"speed radius (km)\")\nax_a.grid(), ax_r.grid()\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax_a = plt.subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = plt.subplot(122, xlabel=\"speed radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
       ]
     },
     {
@@ -127,7 +127,36 @@
       },
       "outputs": [],
       "source": [
-        "i, j, c = merge_f.match(merge_r)\nm = c > 0.1\ni_, j_ = i[m], j[m]\nfig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot of speed_radius(km) ({m.sum()} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    zip(\n        (\"speed radius (km)\", \"outter radius (km)\", \"amplitude (cm)\"),\n        (\"radius_s\", \"radius_e\", \"amplitude\"),\n        (0.001, 0.001, 100),\n        (80, 120, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+        "i, j, c = merge_f.match(merge_r)\nm = c > 0.1\ni_, j_ = i[m], j[m]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "where is lonely eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kwargs_f = dict(lw=1.5, label=\"Lonely eddy from filtered grid\", ref=-10, color=\"k\")\nkwargs_r = dict(lw=1.5, label=\"Lonely eddy from raw grid\", ref=-10, color=\"r\")\nax = start_axes(\"Eddies with no match, over filtered ADT\")\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nmerge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)\nmerge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)\n\nax = start_axes(\"Eddies with no match, over filtered ADT (zoom)\")\nax.set_xlim(25, 36), ax.set_ylim(31, 35.25)\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot=\"mid\", color=\"gray\")\nmerge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)\nmerge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot ({m.sum()} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 0c35370d..5c573ff3 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -37,10 +37,18 @@
     where,
     isnan,
 )
-from numba import njit, prange
+from numba import njit, prange, types as numba_types
 from numpy.linalg import lstsq
 
 
+@njit(cache=True)
+def reverse_index(index, nb):
+    m = ones(nb, dtype=numba_types.bool_)
+    for i in index:
+        m[i] = False
+    return where(m)[0]
+
+
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """

From 585491225d98e45243e0d1b01e6301536db41976 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 3 Jul 2020 15:15:23 +0200
Subject: [PATCH 064/441] add shape gallery

---
 .../pet_shape_gallery.py                      |  61 ++++++++++
 .../pet_shape_gallery.ipynb                   | 108 ++++++++++++++++++
 2 files changed, 169 insertions(+)
 create mode 100644 examples/02_eddy_identification/pet_shape_gallery.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb

diff --git a/examples/02_eddy_identification/pet_shape_gallery.py b/examples/02_eddy_identification/pet_shape_gallery.py
new file mode 100644
index 00000000..a7783b67
--- /dev/null
+++ b/examples/02_eddy_identification/pet_shape_gallery.py
@@ -0,0 +1,61 @@
+"""
+Shape error gallery
+===================
+
+Gallery of contours with shape error
+
+"""
+from matplotlib import pyplot as plt
+from numpy import arange, radians, linspace, cos, sin
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+from py_eddy_tracker.eddy_feature import Contours
+from py_eddy_tracker.generic import local_to_coordinates
+
+
+# %%
+# Method to compute circle path
+def build_circle(x0, y0, r):
+    angle = radians(linspace(0, 360, 50))
+    x_norm, y_norm = cos(angle), sin(angle)
+    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)
+
+
+# %%
+# We iterate over closed contours and sort with regards of shape error
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+c = Contours(g.x_c, g.y_c, g.grid("adt") * 100, arange(-50, 50, 0.2))
+contours = dict()
+for coll in c.iter():
+    for current_contour in coll.get_paths():
+        _, _, _, aerr = current_contour.fit_circle()
+        i = int(aerr // 4) + 1
+        if i not in contours:
+            contours[i] = list()
+        contours[i].append(current_contour)
+
+# %%
+# Shape error gallery
+# -------------------
+# For each contour display, we display circle fitted, we work at different latitude circle could have distorsion
+fig = plt.figure(figsize=(12, 12))
+for i in range(1, 26):
+    e_min, e_max = (i - 1) * 4, i * 4
+    ax = plt.subplot(5, 5, i, title=f" {e_min} < err < {e_max}")
+    ax.xaxis.set_ticklabels([])
+    ax.yaxis.set_ticklabels([])
+    ax.set_aspect("equal")
+    ax.grid()
+    if i in contours:
+        for contour in contours[i]:
+            x, y = contour.lon, contour.lat
+            x0, y0, radius, _ = contour.fit_circle()
+            if x.shape[0] > 30 and 30000 < radius < 70000:
+                # Plot only first contour found
+                m = ax.plot(x, y, "r")[0]
+                ax.plot(*build_circle(x0, y0, radius), "g--")
+                ax.plot(x0, y0, "k.")
+                break
+plt.tight_layout()
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
new file mode 100644
index 00000000..34687a19
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nShape error gallery\n===================\n\nGallery of contours with shape error\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numpy import arange, radians, linspace, cos, sin\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours\nfrom py_eddy_tracker.generic import local_to_coordinates"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Method to compute circle path\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We iterate over closed contours and sort with regards of shape error\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\nc = Contours(g.x_c, g.y_c, g.grid(\"adt\") * 100, arange(-50, 50, 0.2))\ncontours = dict()\nfor coll in c.iter():\n    for current_contour in coll.get_paths():\n        _, _, _, aerr = current_contour.fit_circle()\n        i = int(aerr // 4) + 1\n        if i not in contours:\n            contours[i] = list()\n        contours[i].append(current_contour)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Shape error gallery\n-------------------\nFor each contour display, we display circle fitted, we work at different latitude circle could have distorsion\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 12))\nfor i in range(1, 26):\n    e_min, e_max = (i - 1) * 4, i * 4\n    ax = plt.subplot(5, 5, i, title=f\" {e_min} < err < {e_max}\")\n    ax.xaxis.set_ticklabels([])\n    ax.yaxis.set_ticklabels([])\n    ax.set_aspect(\"equal\")\n    ax.grid()\n    if i in contours:\n        for contour in contours[i]:\n            x, y = contour.lon, contour.lat\n            x0, y0, radius, _ = contour.fit_circle()\n            if x.shape[0] > 30 and 30000 < radius < 70000:\n                # Plot only first contour found\n                m = ax.plot(x, y, \"r\")[0]\n                ax.plot(*build_circle(x0, y0, radius), \"g--\")\n                ax.plot(x0, y0, \"k.\")\n                break\nplt.tight_layout()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file

From d5933e11fc44de0e4e7db929c841b922de1a45f2 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Fri, 3 Jul 2020 22:38:22 +0200
Subject: [PATCH 065/441] add an entry about sla and adt

---
 .../pet_filter_and_detection.py               |  16 +-
 .../02_eddy_identification/pet_sla_and_adt.py | 140 +++++++++++
 .../pet_filter_and_detection.ipynb            |   8 +-
 .../pet_sla_and_adt.ipynb                     | 231 ++++++++++++++++++
 .../observations/observation.py               |   9 +-
 5 files changed, 387 insertions(+), 17 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_sla_and_adt.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 72abefdd..1e4f9270 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -7,7 +7,6 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker import data
-from py_eddy_tracker.generic import reverse_index
 from numpy import arange
 
 
@@ -83,10 +82,7 @@ def update_axes(ax, mappable=None):
 # Match detection and compare
 # ---------------------------
 
-i, j, c = merge_f.match(merge_r)
-m = c > 0.1
-i_, j_ = i[m], j[m]
-
+i_, j_, c = merge_f.match(merge_r, 0.1)
 
 # %%
 # where is lonely eddies
@@ -94,8 +90,8 @@ def update_axes(ax, mappable=None):
 kwargs_r = dict(lw=1.5, label="Lonely eddy from raw grid", ref=-10, color="r")
 ax = start_axes("Eddies with no match, over filtered ADT")
 mappable = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
-merge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)
-merge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)
+merge_f.index(i_, reverse=True).display(ax, **kwargs_f)
+merge_r.index(j_, reverse=True).display(ax, **kwargs_r)
 ax.legend()
 update_axes(ax, mappable)
 
@@ -104,14 +100,14 @@ def update_axes(ax, mappable=None):
 mappable = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
 u, v = g.grid("u").T, g.grid("v").T
 ax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot="mid", color="gray")
-merge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)
-merge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)
+merge_f.index(i_, reverse=True).display(ax, **kwargs_f)
+merge_r.index(j_, reverse=True).display(ax, **kwargs_r)
 ax.legend()
 update_axes(ax, mappable)
 
 # %%
 fig = plt.figure(figsize=(12, 12))
-fig.suptitle(f"Scatter plot ({m.sum()} matches)")
+fig.suptitle(f"Scatter plot ({i_.shape[0]} matches)")
 
 for i, (label, field, factor, stop) in enumerate(
     (
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
new file mode 100644
index 00000000..fef7373d
--- /dev/null
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -0,0 +1,140 @@
+"""
+Eddy detection on SLA and ADT
+=============================
+
+"""
+from datetime import datetime
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load Input grid, ADT will be used to detect eddies
+
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+)
+g.add_uv("adt", "ugos", "vgos")
+g.add_uv("sla", "ugosa", "vgosa")
+wavelength = 400
+g.copy("adt", "adt_raw")
+g.copy("sla", "sla_raw")
+g.bessel_high_filter("adt", wavelength)
+g.bessel_high_filter("sla", wavelength)
+date = datetime(2016, 5, 15)
+
+# %%
+kwargs_a_adt = dict(lw=0.5, label="Anticyclonic ADT", ref=-10, color="k")
+kwargs_c_adt = dict(lw=0.5, label="Cyclonic ADT", ref=-10, color="r")
+kwargs_a_sla = dict(lw=0.5, label="Anticyclonic SLA", ref=-10, color="g")
+kwargs_c_sla = dict(lw=0.5, label="Cyclonic SLA", ref=-10, color="b")
+
+# %%
+# Run algorithm of detection
+a_adt, c_adt = g.eddy_identification("adt", "ugos", "vgos", date, 0.002)
+a_sla, c_sla = g.eddy_identification("sla", "ugosa", "vgosa", date, 0.002)
+
+# %%
+# over filtered
+ax = start_axes(f"ADT (m) filtered ({wavelength}km)")
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)
+ax.legend(), update_axes(ax, m)
+
+ax = start_axes(f"SLA (m) filtered ({wavelength}km)")
+m = g.display(ax, "sla", vmin=-0.15, vmax=0.15)
+a_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)
+ax.legend(), update_axes(ax, m)
+
+# %%
+# over raw
+ax = start_axes("ADT (m)")
+m = g.display(ax, "adt_raw", vmin=-0.15, vmax=0.15)
+a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)
+ax.legend(), update_axes(ax, m)
+
+ax = start_axes("SLA (m)")
+m = g.display(ax, "sla_raw", vmin=-0.15, vmax=0.15)
+a_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)
+ax.legend(), update_axes(ax, m)
+
+# %%
+# Display detection
+ax = start_axes("Eddies detected")
+a_adt.display(ax, **kwargs_a_adt)
+a_sla.display(ax, **kwargs_c_adt)
+c_adt.display(ax, **kwargs_a_sla)
+c_sla.display(ax, **kwargs_c_sla)
+ax.legend()
+update_axes(ax)
+
+# %%
+# Match
+# -----------------------
+# Where cyclone meet anticyclone
+i_c_adt, i_a_sla, c = c_adt.match(a_sla, 0.1)
+i_a_adt, i_c_sla, c = a_adt.match(c_sla, 0.1)
+
+ax = start_axes("Cyclone share area with anticyclone")
+a_adt.index(i_a_adt).display(ax, **kwargs_a_adt)
+c_adt.index(i_c_adt).display(ax, **kwargs_c_adt)
+a_sla.index(i_a_sla).display(ax, **kwargs_a_sla)
+c_sla.index(i_c_sla).display(ax, **kwargs_c_sla)
+ax.legend()
+update_axes(ax)
+
+
+# %%
+# Scatter plot
+# ------------
+i_a_adt, i_a_sla, c = a_adt.match(a_sla, 0.1)
+i_c_adt, i_c_sla, c = c_adt.match(c_sla, 0.1)
+
+# %%
+# where is lonely eddies
+ax = start_axes("Eddies with no match")
+a_adt.index(i_a_adt, reverse=True).display(ax, **kwargs_a_adt)
+c_adt.index(i_c_adt, reverse=True).display(ax, **kwargs_c_adt)
+a_sla.index(i_a_sla, reverse=True).display(ax, **kwargs_a_sla)
+c_sla.index(i_c_sla, reverse=True).display(ax, **kwargs_c_sla)
+ax.legend()
+update_axes(ax)
+
+# %%
+fig = plt.figure(figsize=(12, 12))
+fig.suptitle(f"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)")
+
+for i, (label, field, factor, stop) in enumerate(
+    (
+        ("speed radius (km)", "radius_s", 0.001, 80),
+        ("outter radius (km)", "radius_e", 0.001, 120),
+        ("amplitude (cm)", "amplitude", 100, 25),
+        ("speed max (cm/s)", "speed_average", 100, 25),
+    )
+):
+    ax = fig.add_subplot(2, 2, i + 1, title=label)
+    ax.set_xlabel("Absolute Dynamic Topography")
+    ax.set_ylabel("Sea Level Anomaly")
+
+    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, "r.")
+    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, "b.")
+    ax.set_aspect("equal"), ax.grid()
+    ax.plot((0, 1000), (0, 1000), "g")
+    ax.set_xlim(0, stop), ax.set_ylim(0, stop)
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 507baecc..34c15b95 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import reverse_index\nfrom numpy import arange"
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom numpy import arange"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "i, j, c = merge_f.match(merge_r)\nm = c > 0.1\ni_, j_ = i[m], j[m]"
+        "i_, j_, c = merge_f.match(merge_r, 0.1)"
       ]
     },
     {
@@ -145,7 +145,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_f = dict(lw=1.5, label=\"Lonely eddy from filtered grid\", ref=-10, color=\"k\")\nkwargs_r = dict(lw=1.5, label=\"Lonely eddy from raw grid\", ref=-10, color=\"r\")\nax = start_axes(\"Eddies with no match, over filtered ADT\")\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nmerge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)\nmerge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)\n\nax = start_axes(\"Eddies with no match, over filtered ADT (zoom)\")\nax.set_xlim(25, 36), ax.set_ylim(31, 35.25)\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot=\"mid\", color=\"gray\")\nmerge_f.index(reverse_index(i_, len(merge_f))).display(ax, **kwargs_f)\nmerge_r.index(reverse_index(j_, len(merge_r))).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)"
+        "kwargs_f = dict(lw=1.5, label=\"Lonely eddy from filtered grid\", ref=-10, color=\"k\")\nkwargs_r = dict(lw=1.5, label=\"Lonely eddy from raw grid\", ref=-10, color=\"r\")\nax = start_axes(\"Eddies with no match, over filtered ADT\")\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_r.index(j_, reverse=True).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)\n\nax = start_axes(\"Eddies with no match, over filtered ADT (zoom)\")\nax.set_xlim(25, 36), ax.set_ylim(31, 35.25)\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot=\"mid\", color=\"gray\")\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_r.index(j_, reverse=True).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)"
       ]
     },
     {
@@ -156,7 +156,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot ({m.sum()} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot ({i_.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
new file mode 100644
index 00000000..914d7df4
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -0,0 +1,231 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nEddy detection on SLA and ADT\n=============================\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT will be used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kwargs_a_adt = dict(lw=0.5, label=\"Anticyclonic ADT\", ref=-10, color=\"k\")\nkwargs_c_adt = dict(lw=0.5, label=\"Cyclonic ADT\", ref=-10, color=\"r\")\nkwargs_a_sla = dict(lw=0.5, label=\"Anticyclonic SLA\", ref=-10, color=\"g\")\nkwargs_c_sla = dict(lw=0.5, label=\"Cyclonic SLA\", ref=-10, color=\"b\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Run algorithm of detection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a_adt, c_adt = g.eddy_identification(\"adt\", \"ugos\", \"vgos\", date, 0.002)\na_sla, c_sla = g.eddy_identification(\"sla\", \"ugosa\", \"vgosa\", date, 0.002)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "over filtered\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(f\"ADT (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(f\"SLA (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"sla\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "over raw\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt_raw\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(\"SLA (m)\")\nm = g.display(ax, \"sla_raw\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display detection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies detected\")\na_adt.display(ax, **kwargs_a_adt)\na_sla.display(ax, **kwargs_c_adt)\nc_adt.display(ax, **kwargs_a_sla)\nc_sla.display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Match\n-----------------------\nWhere cyclone meet anticyclone\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i_c_adt, i_a_sla, c = c_adt.match(a_sla, 0.1)\ni_a_adt, i_c_sla, c = a_adt.match(c_sla, 0.1)\n\nax = start_axes(\"Cyclone share area with anticyclone\")\na_adt.index(i_a_adt).display(ax, **kwargs_a_adt)\nc_adt.index(i_c_adt).display(ax, **kwargs_c_adt)\na_sla.index(i_a_sla).display(ax, **kwargs_a_sla)\nc_sla.index(i_c_sla).display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Scatter plot\n------------\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i_a_adt, i_a_sla, c = a_adt.match(a_sla, 0.1)\ni_c_adt, i_c_sla, c = c_adt.match(c_sla, 0.1)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "where is lonely eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies with no match\")\na_adt.index(i_a_adt, reverse=True).display(ax, **kwargs_a_adt)\nc_adt.index(i_c_adt, reverse=True).display(ax, **kwargs_c_adt)\na_sla.index(i_a_sla, reverse=True).display(ax, **kwargs_a_sla)\nc_sla.index(i_c_sla, reverse=True).display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Absolute Dynamic Topography\")\n    ax.set_ylabel(\"Sea Level Anomaly\")\n\n    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, \"r.\")\n    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, \"b.\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index e67e2bac..1a6da5b0 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -67,6 +67,7 @@
     flatten_line_matrix,
     wrap_longitude,
     local_to_coordinates,
+    reverse_index
 )
 from ..poly import bbox_intersection, common_area, create_vertice
 
@@ -412,9 +413,11 @@ def new_like(eddies, new_size):
             raw_data=eddies.raw_data,
         )
 
-    def index(self, index):
+    def index(self, index, reverse=False):
         """Return obs from self at the index
         """
+        if reverse:
+            index = reverse_index(index, len(self))
         size = 1
         if hasattr(index, "__iter__"):
             size = len(index)
@@ -742,7 +745,7 @@ def intern(flag):
             else ("contour_lon_e", "contour_lat_e")
         )
 
-    def match(self, other, intern=False):
+    def match(self, other, intern=False, cmin=0):
         """return index and score compute with area
         """
         x_name, y_name = self.intern(intern)
@@ -752,7 +755,7 @@ def match(self, other, intern=False):
         c = common_area(
             self[x_name][i], self[y_name][i], other[x_name][j], other[y_name][j]
         )
-        m = c > 0
+        m = c > cmin
         return i[m], j[m], c[m]
 
     @classmethod

From f1e56ad42aee5eca517235d173f04f3b58eace3f Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 7 Jul 2020 15:26:26 +0200
Subject: [PATCH 066/441] Application to animate eddy

---
 setup.py                     |   1 +
 src/py_eddy_tracker/appli.py | 121 ++++++++++++++++++++++++++++++++---
 2 files changed, 114 insertions(+), 8 deletions(-)

diff --git a/setup.py b/setup.py
index cc44fcd5..d8d59bb1 100644
--- a/setup.py
+++ b/setup.py
@@ -40,6 +40,7 @@
         console_scripts=[
             "MergeEddies = py_eddy_tracker.appli:merge_eddies",
             "EddyNetworkGroup = py_eddy_tracker.network:build_network",
+            "EddyAnim = py_eddy_tracker.appli:anim"
         ]
     ),
     package_data={
diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index c7864223..968b410c 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -21,29 +21,134 @@
 ===========================================================================
 """
 
+from numpy import arange
+from matplotlib import pyplot
+from netCDF4 import Dataset
+from matplotlib.collections import LineCollection
+from py_eddy_tracker.poly import create_vertice
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from netCDF4 import Dataset
 
 
 def merge_eddies():
-    parser = EddyParser('Merge eddies')
-    parser.add_argument('filename', nargs='+', help='all file to merge')
-    parser.add_argument('out', help='output file')
-    parser.add_argument('--add_rotation_variable', help='add rotation variables', action='store_true')
-    parser.add_argument('--include_var', nargs='+', type=str, help='use only listed variable')
+    parser = EddyParser("Merge eddies")
+    parser.add_argument("filename", nargs="+", help="all file to merge")
+    parser.add_argument("out", help="output file")
+    parser.add_argument(
+        "--add_rotation_variable", help="add rotation variables", action="store_true"
+    )
+    parser.add_argument(
+        "--include_var", nargs="+", type=str, help="use only listed variable"
+    )
     args = parser.parse_args()
 
     if args.include_var is None:
         with Dataset(args.filename[0]) as h:
             args.include_var = h.variables.keys()
 
-    obs = TrackEddiesObservations.load_file(args.filename[0], raw_data=True, include_vars=args.include_var)
+    obs = TrackEddiesObservations.load_file(
+        args.filename[0], raw_data=True, include_vars=args.include_var
+    )
     if args.add_rotation_variable:
         obs = obs.add_rotation_type()
     for filename in args.filename[1:]:
-        other = TrackEddiesObservations.load_file(filename, raw_data=True, include_vars=args.include_var)
+        other = TrackEddiesObservations.load_file(
+            filename, raw_data=True, include_vars=args.include_var
+        )
         if args.add_rotation_variable:
             other = other.add_rotation_type()
         obs = obs.merge(other)
     obs.write_file(filename=args.out)
+
+
+def anim():
+    parser = EddyParser("Merge eddies")
+    parser.add_argument("filename", help="eddy atlas")
+    parser.add_argument("id", help="Track id to anim", type=int)
+    parser.add_argument(
+        "--intern",
+        action="store_true",
+        help="display intern contour inplace of outter contour",
+    )
+    parser.add_argument(
+        "--keep_step", default=25, help="number maximal of step displayed", type=int
+    )
+    parser.add_argument("--cmap", help="matplotlib colormap used")
+    parser.add_argument(
+        "--time_sleep",
+        type=float,
+        default=0.01,
+        help="Sleeping time in second between 2 frame",
+    )
+    parser.add_argument(
+        "--infinity_loop", action="store_true", help="Press Escape key to stop loop"
+    )
+    args = parser.parse_args()
+
+    atlas = TrackEddiesObservations.load_file(args.filename)
+    eddy = atlas.extract_ids([args.id])
+    x_name, y_name = eddy.intern(args.intern)
+    t0, t1 = eddy.period
+    t, x, y = eddy.time, eddy[x_name], eddy[y_name]
+    x_min, x_max = x.min(), x.max()
+    d_x = x_max - x_min
+    x_min -= 0.05 * d_x
+    x_max += 0.05 * d_x
+    y_min, y_max = y.min(), y.max()
+    d_y = y_max - y_min
+    y_min -= 0.05 * d_y
+    y_max += 0.05 * d_y
+
+    # General value
+    cmap = pyplot.get_cmap(args.cmap)
+    colors = cmap(arange(args.keep_step + 1) / args.keep_step)
+
+    # plot
+    fig = pyplot.figure()
+    # manager = plt.get_current_fig_manager()
+    # fig.window.showMaximized()
+    ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
+    ax.set_xlim(x_min, x_max)
+    ax.set_ylim(y_min, y_max)
+    ax.set_aspect("equal")
+    ax.grid()
+    # # init mappable
+    txt = ax.text(16.6, 36.8, "", zorder=10)
+    c = LineCollection([], zorder=1)
+    ax.add_collection(c)
+
+    fig.canvas.draw()
+    fig.canvas.mpl_connect("key_press_event", keyboard)
+    pyplot.show(block=False)
+    # save background for future bliting
+    bg_cache = fig.canvas.copy_from_bbox(ax.bbox)
+    loop = True
+    while loop:
+        segs = list()
+        # display contour every day
+        for t_ in range(t0, t1 + 1, 1):
+            fig.canvas.restore_region(bg_cache)
+            # select contour for this time step
+            m = t == t_
+            if m.sum():
+                segs.append(create_vertice(x[m][0], y[m][0]))
+                c.set_paths(segs)
+                c.set_color(colors[-len(segs) :])
+                txt.set_text(f"{t0} -> {t_} -> {t1}")
+                ax.draw_artist(c)
+                ax.draw_artist(txt)
+                # Remove first segment to keep only T contour
+                if len(segs) > args.keep_step:
+                    segs.pop(0)
+                # paint updated artist
+                fig.canvas.blit(ax.bbox)
+            fig.canvas.start_event_loop(args.time_sleep)
+        if args.infinity_loop:
+            fig.canvas.start_event_loop(0.5)
+        else:
+            loop = False
+
+
+def keyboard(event):
+    if event.key == "escape":
+        exit()

From 49adbd2947c0008f18d13ad4713dac0b713eabe8 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 7 Jul 2020 21:59:10 +0200
Subject: [PATCH 067/441] update eddy anim to interact with keyboard

---
 src/py_eddy_tracker/appli.py | 182 ++++++++++++++++++++++-------------
 1 file changed, 115 insertions(+), 67 deletions(-)

diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index 968b410c..ab700ea4 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -21,11 +21,12 @@
 ===========================================================================
 """
 
-from numpy import arange
+from numpy import arange, empty
 from matplotlib import pyplot
 from netCDF4 import Dataset
 from matplotlib.collections import LineCollection
 from py_eddy_tracker.poly import create_vertice
+from py_eddy_tracker.generic import flatten_line_matrix
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -61,8 +62,118 @@ def merge_eddies():
     obs.write_file(filename=args.out)
 
 
+class Anim:
+    def __init__(self, eddy, intern, **kwargs):
+        self.eddy = eddy
+        x_name, y_name = eddy.intern(intern)
+        self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
+        self.pause = False
+        self.period = self.eddy.period
+        self.setup(**kwargs)
+
+    def setup(self, cmap="jet", nb_step=25):
+        cmap = pyplot.get_cmap(cmap)
+        self.colors = cmap(arange(nb_step + 1) / nb_step)
+        self.nb_step = nb_step
+
+        x_min, x_max = self.x.min(), self.x.max()
+        d_x = x_max - x_min
+        x_min -= 0.05 * d_x
+        x_max += 0.05 * d_x
+        y_min, y_max = self.y.min(), self.y.max()
+        d_y = y_max - y_min
+        y_min -= 0.05 * d_y
+        y_max += 0.05 * d_y
+
+        # plot
+        self.fig = pyplot.figure()
+        self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
+        self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
+        self.ax.set_aspect("equal")
+        self.ax.grid()
+        # init mappable
+        self.txt = self.ax.text(
+            x_min + 0.05 * d_x,
+            y_min + 0.05 * d_y,
+            "",
+            zorder=10,
+            bbox=dict(facecolor="w", alpha=0.85),
+        )
+        self.contour = LineCollection([], zorder=1)
+        self.ax.add_collection(self.contour)
+
+        self.fig.canvas.draw()
+        self.fig.canvas.mpl_connect("key_press_event", self.keyboard)
+
+    def show(self, sleep_event=0.1, infinity_loop=False):
+        pyplot.show(block=False)
+        # save background for future bliting
+        self.bg_cache = self.fig.canvas.copy_from_bbox(self.ax.bbox)
+        loop = True
+        t0, t1 = self.period
+        while loop:
+            self.segs = list()
+            self.now = t0
+            while True:
+                if not self.pause:
+                    self.next()
+                self.fig.canvas.start_event_loop(sleep_event)
+                if self.now > t1:
+                    break
+            if infinity_loop:
+                self.fig.canvas.start_event_loop(0.5)
+            else:
+                loop = False
+
+    def next(self):
+        self.now += 1
+        return self.draw_contour()
+
+    def prev(self):
+        self.now -= 1
+        return self.draw_contour()
+
+    def draw_contour(self):
+        t0, t1 = self.period
+        # select contour for this time step
+        m = self.t == self.now
+        self.ax.figure.canvas.restore_region(self.bg_cache)
+        if m.sum():
+            self.segs.append(
+                create_vertice(
+                    flatten_line_matrix(self.x[m]), flatten_line_matrix(self.y[m])
+                )
+            )
+        else:
+            self.segs.append(empty((0, 2)))
+        self.contour.set_paths(self.segs)
+        self.contour.set_color(self.colors[-len(self.segs) :])
+        self.txt.set_text(f"{t0} -> {self.now} -> {t1}")
+        self.ax.draw_artist(self.contour)
+        self.ax.draw_artist(self.txt)
+        # Remove first segment to keep only T contour
+        if len(self.segs) > self.nb_step:
+            self.segs.pop(0)
+        # paint updated artist
+        self.ax.figure.canvas.blit(self.ax.bbox)
+
+    def keyboard(self, event):
+        if event.key == "escape":
+            exit()
+        elif event.key == " ":
+            self.pause = not self.pause
+        elif event.key == "right" and self.pause:
+            self.next()
+        elif event.key == "left" and self.pause:
+            self.segs.pop(-1)
+            self.segs.pop(-1)
+            self.prev()
+
+
 def anim():
-    parser = EddyParser("Merge eddies")
+    parser = EddyParser(
+        "Anim eddy, keyboard shortcut : Escape => exit, SpaceBar => pause, left arrow => t - 1, right arrow => t + 1"
+    )
     parser.add_argument("filename", help="eddy atlas")
     parser.add_argument("id", help="Track id to anim", type=int)
     parser.add_argument(
@@ -87,68 +198,5 @@ def anim():
 
     atlas = TrackEddiesObservations.load_file(args.filename)
     eddy = atlas.extract_ids([args.id])
-    x_name, y_name = eddy.intern(args.intern)
-    t0, t1 = eddy.period
-    t, x, y = eddy.time, eddy[x_name], eddy[y_name]
-    x_min, x_max = x.min(), x.max()
-    d_x = x_max - x_min
-    x_min -= 0.05 * d_x
-    x_max += 0.05 * d_x
-    y_min, y_max = y.min(), y.max()
-    d_y = y_max - y_min
-    y_min -= 0.05 * d_y
-    y_max += 0.05 * d_y
-
-    # General value
-    cmap = pyplot.get_cmap(args.cmap)
-    colors = cmap(arange(args.keep_step + 1) / args.keep_step)
-
-    # plot
-    fig = pyplot.figure()
-    # manager = plt.get_current_fig_manager()
-    # fig.window.showMaximized()
-    ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
-    ax.set_xlim(x_min, x_max)
-    ax.set_ylim(y_min, y_max)
-    ax.set_aspect("equal")
-    ax.grid()
-    # # init mappable
-    txt = ax.text(16.6, 36.8, "", zorder=10)
-    c = LineCollection([], zorder=1)
-    ax.add_collection(c)
-
-    fig.canvas.draw()
-    fig.canvas.mpl_connect("key_press_event", keyboard)
-    pyplot.show(block=False)
-    # save background for future bliting
-    bg_cache = fig.canvas.copy_from_bbox(ax.bbox)
-    loop = True
-    while loop:
-        segs = list()
-        # display contour every day
-        for t_ in range(t0, t1 + 1, 1):
-            fig.canvas.restore_region(bg_cache)
-            # select contour for this time step
-            m = t == t_
-            if m.sum():
-                segs.append(create_vertice(x[m][0], y[m][0]))
-                c.set_paths(segs)
-                c.set_color(colors[-len(segs) :])
-                txt.set_text(f"{t0} -> {t_} -> {t1}")
-                ax.draw_artist(c)
-                ax.draw_artist(txt)
-                # Remove first segment to keep only T contour
-                if len(segs) > args.keep_step:
-                    segs.pop(0)
-                # paint updated artist
-                fig.canvas.blit(ax.bbox)
-            fig.canvas.start_event_loop(args.time_sleep)
-        if args.infinity_loop:
-            fig.canvas.start_event_loop(0.5)
-        else:
-            loop = False
-
-
-def keyboard(event):
-    if event.key == "escape":
-        exit()
+    a = Anim(eddy, intern=args.intern, cmap=args.cmap, nb_step=args.keep_step)
+    a.show(sleep_event=args.time_sleep, infinity_loop=args.infinity_loop)

From c46880ce0694e3b8c76aa7ffaf6dd0a582bd61bb Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 8 Jul 2020 14:06:26 +0200
Subject: [PATCH 068/441] Add command to slow down move

---
 src/py_eddy_tracker/appli.py | 42 ++++++++++++++++++++++++++++++------
 1 file changed, 35 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index ab700ea4..5341f578 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -25,6 +25,7 @@
 from matplotlib import pyplot
 from netCDF4 import Dataset
 from matplotlib.collections import LineCollection
+from datetime import datetime
 from py_eddy_tracker.poly import create_vertice
 from py_eddy_tracker.generic import flatten_line_matrix
 from py_eddy_tracker import EddyParser
@@ -63,12 +64,13 @@ def merge_eddies():
 
 
 class Anim:
-    def __init__(self, eddy, intern, **kwargs):
+    def __init__(self, eddy, intern=False, sleep_event=0.1, **kwargs):
         self.eddy = eddy
         x_name, y_name = eddy.intern(intern)
         self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
         self.pause = False
         self.period = self.eddy.period
+        self.sleep_event = sleep_event
         self.setup(**kwargs)
 
     def setup(self, cmap="jet", nb_step=25):
@@ -99,13 +101,16 @@ def setup(self, cmap="jet", nb_step=25):
             zorder=10,
             bbox=dict(facecolor="w", alpha=0.85),
         )
+        self.display_speed = self.ax.text(
+            x_min + 0.02 * d_x, y_max - 0.04 * d_y, "", fontsize=10
+        )
         self.contour = LineCollection([], zorder=1)
         self.ax.add_collection(self.contour)
 
         self.fig.canvas.draw()
         self.fig.canvas.mpl_connect("key_press_event", self.keyboard)
 
-    def show(self, sleep_event=0.1, infinity_loop=False):
+    def show(self, infinity_loop=False):
         pyplot.show(block=False)
         # save background for future bliting
         self.bg_cache = self.fig.canvas.copy_from_bbox(self.ax.bbox)
@@ -115,9 +120,17 @@ def show(self, sleep_event=0.1, infinity_loop=False):
             self.segs = list()
             self.now = t0
             while True:
+                dt = self.sleep_event
                 if not self.pause:
+                    d0 = datetime.now()
                     self.next()
-                self.fig.canvas.start_event_loop(sleep_event)
+                    dt_draw = (datetime.now() - d0).total_seconds()
+                    dt = self.sleep_event - dt_draw
+                    if dt < 0:
+                        self.sleep_event = dt_draw * 1.01
+                        dt = 1e-10
+                self.fig.canvas.start_event_loop(dt)
+
                 if self.now > t1:
                     break
             if infinity_loop:
@@ -149,8 +162,10 @@ def draw_contour(self):
         self.contour.set_paths(self.segs)
         self.contour.set_color(self.colors[-len(self.segs) :])
         self.txt.set_text(f"{t0} -> {self.now} -> {t1}")
+        self.display_speed.set_text(f"{1/self.sleep_event:.0f} frame/s")
         self.ax.draw_artist(self.contour)
         self.ax.draw_artist(self.txt)
+        self.ax.draw_artist(self.display_speed)
         # Remove first segment to keep only T contour
         if len(self.segs) > self.nb_step:
             self.segs.pop(0)
@@ -162,6 +177,10 @@ def keyboard(self, event):
             exit()
         elif event.key == " ":
             self.pause = not self.pause
+        elif event.key == "+":
+            self.sleep_event *= 0.9
+        elif event.key == "-":
+            self.sleep_event *= 1.1
         elif event.key == "right" and self.pause:
             self.next()
         elif event.key == "left" and self.pause:
@@ -172,7 +191,8 @@ def keyboard(self, event):
 
 def anim():
     parser = EddyParser(
-        "Anim eddy, keyboard shortcut : Escape => exit, SpaceBar => pause, left arrow => t - 1, right arrow => t + 1"
+        """Anim eddy, keyboard shortcut : Escape => exit, SpaceBar => pause,
+        left arrow => t - 1, right arrow => t + 1, + => speed increase of 10 %, - => speed decrease of 10 %"""
     )
     parser.add_argument("filename", help="eddy atlas")
     parser.add_argument("id", help="Track id to anim", type=int)
@@ -195,8 +215,16 @@ def anim():
         "--infinity_loop", action="store_true", help="Press Escape key to stop loop"
     )
     args = parser.parse_args()
+    variables = ["time", "track"]
+    variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
 
-    atlas = TrackEddiesObservations.load_file(args.filename)
+    atlas = TrackEddiesObservations.load_file(args.filename, include_vars=variables)
     eddy = atlas.extract_ids([args.id])
-    a = Anim(eddy, intern=args.intern, cmap=args.cmap, nb_step=args.keep_step)
-    a.show(sleep_event=args.time_sleep, infinity_loop=args.infinity_loop)
+    a = Anim(
+        eddy,
+        intern=args.intern,
+        sleep_event=args.time_sleep,
+        cmap=args.cmap,
+        nb_step=args.keep_step,
+    )
+    a.show(infinity_loop=args.infinity_loop)

From a92c87b140a5b261fe3f383f01fe3dfa95c8992b Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Wed, 8 Jul 2020 17:20:37 +0200
Subject: [PATCH 069/441] Anim example simplify

---
 .../pet_track_anim.py                         | 64 ++++---------------
 .../pet_track_anim.ipynb                      | 26 ++------
 src/py_eddy_tracker/appli.py                  |  5 +-
 3 files changed, 21 insertions(+), 74 deletions(-)

diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index aacb87ca..21b88324 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -5,11 +5,8 @@
 Run in a terminal this script, which allow to watch eddy evolution
 
 """
-from matplotlib import pyplot as plt
-from matplotlib.collections import LineCollection
-from numpy import arange
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.poly import create_vertice
+from py_eddy_tracker.appli import Anim
 import py_eddy_tracker_sample
 
 # %%
@@ -18,51 +15,18 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
 eddy = a.extract_ids([9672])
-t0, t1 = eddy.period
-t = eddy.time
-x = eddy["contour_lon_s"]
-y = eddy["contour_lat_s"]
 
 # %%
-# General value
-T = 25.0
-cmap = plt.get_cmap("viridis")
-COLORS = cmap(arange(T + 1) / T)
-
-
-# %%
-# plot
-fig = plt.figure(figsize=(12, 5))
-ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
-ax.set_xlim(16.5, 23)
-ax.set_ylim(34.5, 37)
-ax.set_aspect("equal")
-ax.grid()
-# init mappable
-txt = ax.text(16.6, 36.8, "", zorder=10)
-segs = list()
-c = LineCollection([], zorder=1)
-ax.add_collection(c)
-
-fig.canvas.draw()
-plt.show(block=False)
-# save background for future bliting
-bg_cache = fig.canvas.copy_from_bbox(ax.bbox)
-# display contour every 2 day
-for t_ in range(t0, t1 + 1, 2):
-    fig.canvas.restore_region(bg_cache)
-    # select contour for this time step
-    m = t == t_
-    segs.append(create_vertice(x[m][0], y[m][0]))
-    c.set_paths(segs)
-    c.set_color(COLORS[-len(segs) :])
-    txt.set_text(f"{t0} -> {t_} -> {t1}")
-    ax.draw_artist(c)
-    ax.draw_artist(txt)
-    # Remove first segment to keep only T contour
-    if len(segs) > T:
-        segs.pop(0)
-    # paint updated artist
-    fig.canvas.blit(ax.bbox)
-
-    fig.canvas.start_event_loop(1e-10)
+# Run animation
+# Key shortcut
+#   Escape => exit
+#   SpaceBar => pause
+#   left arrow => t - 1
+#   right arrow => t + 1
+#   + => speed increase of 10 %
+#   - => speed decrease of 10 %
+a = Anim(eddy, sleep_event=1e-10, intern=True, figsize=(8, 3.5), cmap="viridis")
+a.txt.set_position((17, 34.6))
+a.ax.set_xlim(16.5, 23)
+a.ax.set_ylim(34.5, 37)
+a.show(infinity_loop=False)
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index f6e6c2e7..6cdaf93a 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.collections import LineCollection\nfrom numpy import arange\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.poly import create_vertice\nimport py_eddy_tracker_sample"
+        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli import Anim\nimport py_eddy_tracker_sample"
       ]
     },
     {
@@ -44,14 +44,14 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\nt0, t1 = eddy.period\nt = eddy.time\nx = eddy[\"contour_lon_s\"]\ny = eddy[\"contour_lat_s\"]"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "General value\n\n"
+        "Run animation\nKey shortcut\n  Escape => exit\n  SpaceBar => pause\n  left arrow => t - 1\n  right arrow => t + 1\n  + => speed increase of 10 %\n  - => speed decrease of 10 %\n\n"
       ]
     },
     {
@@ -62,25 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "T = 25.0\ncmap = plt.get_cmap(\"viridis\")\nCOLORS = cmap(arange(T + 1) / T)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "plot\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(16.5, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\n# init mappable\ntxt = ax.text(16.6, 36.8, \"\", zorder=10)\nsegs = list()\nc = LineCollection([], zorder=1)\nax.add_collection(c)\n\nfig.canvas.draw()\nplt.show(block=False)\n# save background for future bliting\nbg_cache = fig.canvas.copy_from_bbox(ax.bbox)\n# display contour every 2 day\nfor t_ in range(t0, t1 + 1, 2):\n    fig.canvas.restore_region(bg_cache)\n    # select contour for this time step\n    m = t == t_\n    segs.append(create_vertice(x[m][0], y[m][0]))\n    c.set_paths(segs)\n    c.set_color(COLORS[-len(segs) :])\n    txt.set_text(f\"{t0} -> {t_} -> {t1}\")\n    ax.draw_artist(c)\n    ax.draw_artist(txt)\n    # Remove first segment to keep only T contour\n    if len(segs) > T:\n        segs.pop(0)\n    # paint updated artist\n    fig.canvas.blit(ax.bbox)\n\n    fig.canvas.start_event_loop(1e-10)"
+        "a = Anim(eddy, sleep_event=1e-10, intern=True, figsize=(8, 3.5), cmap=\"viridis\")\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\na.show(infinity_loop=False)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index 5341f578..b0a1ef49 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -73,7 +73,7 @@ def __init__(self, eddy, intern=False, sleep_event=0.1, **kwargs):
         self.sleep_event = sleep_event
         self.setup(**kwargs)
 
-    def setup(self, cmap="jet", nb_step=25):
+    def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
         cmap = pyplot.get_cmap(cmap)
         self.colors = cmap(arange(nb_step + 1) / nb_step)
         self.nb_step = nb_step
@@ -88,7 +88,7 @@ def setup(self, cmap="jet", nb_step=25):
         y_max += 0.05 * d_y
 
         # plot
-        self.fig = pyplot.figure()
+        self.fig = pyplot.figure(figsize=figsize)
         self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
         self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
         self.ax.set_aspect("equal")
@@ -113,6 +113,7 @@ def setup(self, cmap="jet", nb_step=25):
     def show(self, infinity_loop=False):
         pyplot.show(block=False)
         # save background for future bliting
+        self.fig.canvas.draw()
         self.bg_cache = self.fig.canvas.copy_from_bbox(self.ax.bbox)
         loop = True
         t0, t1 = self.period

From 974b219a885d303d316511be82324f46b2da552c Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 9 Jul 2020 17:31:38 +0200
Subject: [PATCH 070/441] some change to speed up a little bit eddy anim

---
 src/py_eddy_tracker/appli.py                  | 20 ++++--------
 src/py_eddy_tracker/generic.py                | 32 +++++++++++++++++++
 .../observations/observation.py               |  7 ++--
 3 files changed, 43 insertions(+), 16 deletions(-)

diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli.py
index b0a1ef49..fdd35304 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli.py
@@ -89,21 +89,14 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
 
         # plot
         self.fig = pyplot.figure(figsize=figsize)
+        t0, t1 = self.period
+        self.fig.suptitle(f'{t0} -> {t1}')
         self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
         self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
         self.ax.set_aspect("equal")
         self.ax.grid()
         # init mappable
-        self.txt = self.ax.text(
-            x_min + 0.05 * d_x,
-            y_min + 0.05 * d_y,
-            "",
-            zorder=10,
-            bbox=dict(facecolor="w", alpha=0.85),
-        )
-        self.display_speed = self.ax.text(
-            x_min + 0.02 * d_x, y_max - 0.04 * d_y, "", fontsize=10
-        )
+        self.txt = self.ax.text(x_min + 0.05 * d_x, y_min + 0.05 * d_y, "", zorder=10)
         self.contour = LineCollection([], zorder=1)
         self.ax.add_collection(self.contour)
 
@@ -128,7 +121,7 @@ def show(self, infinity_loop=False):
                     dt_draw = (datetime.now() - d0).total_seconds()
                     dt = self.sleep_event - dt_draw
                     if dt < 0:
-                        self.sleep_event = dt_draw * 1.01
+                        # self.sleep_event = dt_draw * 1.01
                         dt = 1e-10
                 self.fig.canvas.start_event_loop(dt)
 
@@ -162,11 +155,10 @@ def draw_contour(self):
             self.segs.append(empty((0, 2)))
         self.contour.set_paths(self.segs)
         self.contour.set_color(self.colors[-len(self.segs) :])
-        self.txt.set_text(f"{t0} -> {self.now} -> {t1}")
-        self.display_speed.set_text(f"{1/self.sleep_event:.0f} frame/s")
+        self.contour.set_lw(arange(len(self.segs)) / len(self.segs) * 2.5)
+        self.txt.set_text(f"{self.now} - {1/self.sleep_event:.0f} frame/s")
         self.ax.draw_artist(self.contour)
         self.ax.draw_artist(self.txt)
-        self.ax.draw_artist(self.display_speed)
         # Remove first segment to keep only T contour
         if len(self.segs) > self.nb_step:
             self.segs.pop(0)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 5c573ff3..bf9c0804 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -36,6 +36,7 @@
     interp,
     where,
     isnan,
+    bool_,
 )
 from numba import njit, prange, types as numba_types
 from numpy.linalg import lstsq
@@ -291,6 +292,37 @@ def flatten_line_matrix(l_matrix):
     return out
 
 
+@njit(cache=True)
+def simplify(x, y, precision=0.1):
+    precision2 = precision ** 2
+    nb = x.shape[0]
+    x_previous, y_previous = x[0], y[0]
+    mask = ones(nb, dtype=bool_)
+    for i in range(1, nb):
+        x_, y_ = x[i], y[i]
+        d_x = x_ - x_previous
+        if d_x > precision:
+            x_previous, y_previous = x_, y_
+            continue
+        d_y = y_ - y_previous
+        if d_y > precision:
+            x_previous, y_previous = x_, y_
+            continue
+        d2 = d_x ** 2 + d_y ** 2
+        if d2 > precision2:
+            x_previous, y_previous = x_, y_
+            continue
+        mask[i] = False
+    new_nb = mask.sum()
+    new_x, new_y = empty(new_nb, dtype=x.dtype), empty(new_nb, dtype=y.dtype)
+    j = 0
+    for i in range(nb):
+        if mask[i]:
+            new_x[j], new_y[j] = x[i], y[i]
+            j += 1
+    return new_x, new_y
+
+
 @njit(cache=True)
 def split_line(x, y, i):
     """
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 1a6da5b0..feb25fad 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -738,12 +738,15 @@ def propagate(
         return next_obs
 
     @staticmethod
-    def intern(flag):
-        return (
+    def intern(flag, public_label=False):
+        labels = (
             ("contour_lon_s", "contour_lat_s")
             if flag
             else ("contour_lon_e", "contour_lat_e")
         )
+        if public_label:
+            labels = [VAR_DESCR[label]['nc_name'] for label in labels]
+        return labels
 
     def match(self, other, intern=False, cmin=0):
         """return index and score compute with area

From 1dbd1b33d68dc8c256768eee4aa09fa6b111a25b Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Thu, 9 Jul 2020 23:10:31 +0200
Subject: [PATCH 071/441] New architecture of appplication

---
 setup.py                                      |  16 +-
 src/py_eddy_tracker/appli/__init__.py         |   0
 src/py_eddy_tracker/appli/eddies.py           |  56 +++
 src/py_eddy_tracker/appli/grid.py             |  63 ++++
 .../{appli.py => appli/gui.py}                |  40 +--
 src/py_eddy_tracker/appli/misc.py             |  37 ++
 src/py_eddy_tracker/appli/network.py          | 329 ++++++++++++++++++
 src/py_eddy_tracker/network.py                | 238 -------------
 src/py_eddy_tracker/observations/network.py   | 187 ++++++++++
 .../observations/observation.py               |   4 +-
 src/py_eddy_tracker/poly.py                   |  57 ++-
 11 files changed, 738 insertions(+), 289 deletions(-)
 create mode 100644 src/py_eddy_tracker/appli/__init__.py
 create mode 100644 src/py_eddy_tracker/appli/eddies.py
 create mode 100644 src/py_eddy_tracker/appli/grid.py
 rename src/py_eddy_tracker/{appli.py => appli/gui.py} (83%)
 create mode 100644 src/py_eddy_tracker/appli/misc.py
 create mode 100644 src/py_eddy_tracker/appli/network.py
 delete mode 100644 src/py_eddy_tracker/network.py
 create mode 100644 src/py_eddy_tracker/observations/network.py

diff --git a/setup.py b/setup.py
index d8d59bb1..f7c6d104 100644
--- a/setup.py
+++ b/setup.py
@@ -25,22 +25,28 @@
     packages=find_packages("src"),
     package_dir={"": "src"},
     scripts=[
-        "src/scripts/GridFiltering",
         "src/scripts/EddyId",
         "src/scripts/EddySubSetter",
         "src/scripts/EddyTranslate",
         "src/scripts/EddyTracking",
         "src/scripts/EddyFinalTracking",
         "src/scripts/EddyMergeCorrespondances",
-        "src/scripts/ZarrDump",
         "src/scripts/GUIEddy",
     ],
     zip_safe=False,
     entry_points=dict(
         console_scripts=[
-            "MergeEddies = py_eddy_tracker.appli:merge_eddies",
-            "EddyNetworkGroup = py_eddy_tracker.network:build_network",
-            "EddyAnim = py_eddy_tracker.appli:anim"
+            # grid
+            "GridFiltering = py_eddy_tracker.appli.grid:grid_filtering",
+            # eddies
+            "MergeEddies = py_eddy_tracker.appli.eddies:merge_eddies",
+            # network
+            "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
+            "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
+            # anim/gui
+            "EddyAnim = py_eddy_tracker.appli.gui:anim",
+            # misc
+            "ZarrDump = py_eddy_tracker.appli.misc:zarrdump",
         ]
     ),
     package_data={
diff --git a/src/py_eddy_tracker/appli/__init__.py b/src/py_eddy_tracker/appli/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
new file mode 100644
index 00000000..c750792f
--- /dev/null
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+from netCDF4 import Dataset
+from .. import EddyParser
+from ..observations.tracking import TrackEddiesObservations
+
+
+def merge_eddies():
+    parser = EddyParser("Merge eddies")
+    parser.add_argument("filename", nargs="+", help="all file to merge")
+    parser.add_argument("out", help="output file")
+    parser.add_argument(
+        "--add_rotation_variable", help="add rotation variables", action="store_true"
+    )
+    parser.add_argument(
+        "--include_var", nargs="+", type=str, help="use only listed variable"
+    )
+    args = parser.parse_args()
+
+    if args.include_var is None:
+        with Dataset(args.filename[0]) as h:
+            args.include_var = h.variables.keys()
+
+    obs = TrackEddiesObservations.load_file(
+        args.filename[0], raw_data=True, include_vars=args.include_var
+    )
+    if args.add_rotation_variable:
+        obs = obs.add_rotation_type()
+    for filename in args.filename[1:]:
+        other = TrackEddiesObservations.load_file(
+            filename, raw_data=True, include_vars=args.include_var
+        )
+        if args.add_rotation_variable:
+            other = other.add_rotation_type()
+        obs = obs.merge(other)
+    obs.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
new file mode 100644
index 00000000..1bd39937
--- /dev/null
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -0,0 +1,63 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+from .. import EddyParser
+from ..dataset.grid import RegularGridDataset
+
+
+def grid_parser():
+    parser = EddyParser("Grid filtering")
+    parser.add_argument("filename")
+    parser.add_argument("grid")
+    parser.add_argument("longitude")
+    parser.add_argument("latitude")
+    parser.add_argument("filename_out")
+    parser.add_argument(
+        "--cut_wavelength",
+        default=500,
+        type=float,
+        help="Wavelength for mesoscale filter in km",
+    )
+    parser.add_argument("--filter_order", default=3, type=int)
+    parser.add_argument("--low", action="store_true")
+    parser.add_argument(
+        "--extend",
+        default=0,
+        type=float,
+        help="Keep pixel compute by filtering on mask",
+    )
+    return parser
+
+
+def grid_filtering():
+    args = grid_parser().parse_args()
+
+    h = RegularGridDataset(args.filename, args.longitude, args.latitude)
+    if args.low:
+        h.bessel_low_filter(
+            args.grid, args.cut_wavelength, order=args.filter_order, extend=args.extend
+        )
+    else:
+        h.bessel_high_filter(
+            args.grid, args.cut_wavelength, order=args.filter_order, extend=args.extend
+        )
+    h.write(args.filename_out)
diff --git a/src/py_eddy_tracker/appli.py b/src/py_eddy_tracker/appli/gui.py
similarity index 83%
rename from src/py_eddy_tracker/appli.py
rename to src/py_eddy_tracker/appli/gui.py
index fdd35304..996f43fe 100644
--- a/src/py_eddy_tracker/appli.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -23,44 +23,12 @@
 
 from numpy import arange, empty
 from matplotlib import pyplot
-from netCDF4 import Dataset
 from matplotlib.collections import LineCollection
 from datetime import datetime
-from py_eddy_tracker.poly import create_vertice
-from py_eddy_tracker.generic import flatten_line_matrix
-from py_eddy_tracker import EddyParser
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-
-
-def merge_eddies():
-    parser = EddyParser("Merge eddies")
-    parser.add_argument("filename", nargs="+", help="all file to merge")
-    parser.add_argument("out", help="output file")
-    parser.add_argument(
-        "--add_rotation_variable", help="add rotation variables", action="store_true"
-    )
-    parser.add_argument(
-        "--include_var", nargs="+", type=str, help="use only listed variable"
-    )
-    args = parser.parse_args()
-
-    if args.include_var is None:
-        with Dataset(args.filename[0]) as h:
-            args.include_var = h.variables.keys()
-
-    obs = TrackEddiesObservations.load_file(
-        args.filename[0], raw_data=True, include_vars=args.include_var
-    )
-    if args.add_rotation_variable:
-        obs = obs.add_rotation_type()
-    for filename in args.filename[1:]:
-        other = TrackEddiesObservations.load_file(
-            filename, raw_data=True, include_vars=args.include_var
-        )
-        if args.add_rotation_variable:
-            other = other.add_rotation_type()
-        obs = obs.merge(other)
-    obs.write_file(filename=args.out)
+from ..poly import create_vertice
+from ..generic import flatten_line_matrix
+from .. import EddyParser
+from ..observations.tracking import TrackEddiesObservations
 
 
 class Anim:
diff --git a/src/py_eddy_tracker/appli/misc.py b/src/py_eddy_tracker/appli/misc.py
new file mode 100644
index 00000000..f3a292ba
--- /dev/null
+++ b/src/py_eddy_tracker/appli/misc.py
@@ -0,0 +1,37 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+import argparse
+import zarr
+
+
+def zarr_header_parser():
+    parser = argparse.ArgumentParser("Zarr header")
+    parser.add_argument("dataset")
+    return parser
+
+
+def zarrdump():
+    args = zarr_header_parser().parse_args()
+    print(args.dataset)
+    for v in zarr.open(args.dataset).values():
+        print(v.info)
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
new file mode 100644
index 00000000..ad61453b
--- /dev/null
+++ b/src/py_eddy_tracker/appli/network.py
@@ -0,0 +1,329 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2020 by Evan Mason
+Email: evanmason@gmail.com
+===========================================================================
+"""
+
+import logging
+from netCDF4 import Dataset
+from numba import njit, int_
+from numpy import empty, arange, zeros
+from Polygon import Polygon
+from ..poly import polygon_overlap, create_vertice_from_2darray
+from .. import EddyParser
+from ..observations.network import Network
+
+logger = logging.getLogger("pet")
+
+
+def build_network():
+    parser = EddyParser("Merge eddies")
+    parser.add_argument(
+        "identification_regex",
+        help="Give an expression which will use with glob, currently only netcdf file",
+    )
+    parser.add_argument("out", help="output file, currently only netcdf file")
+    parser.add_argument(
+        "--window", "-w", type=int, help="Half time window to search eddy", default=1
+    )
+    parser.add_argument(
+        "--intern",
+        action="store_true",
+        help="Use intern contour instead of outter contour",
+    )
+    args = parser.parse_args()
+
+    n = Network(args.identification_regex, window=args.window, intern=args.intern)
+    n.group_observations(minimal_area=True)
+    n.save(args.out)
+
+
+def divide_network():
+    parser = EddyParser("Separate path for a same group")
+    parser.add_argument("input", help="input network file")
+    parser.add_argument("out", help="output file, currently only netcdf file")
+    args = parser.parse_args()
+    split_network(args.input, args.out)
+
+
+@njit(cache=True)
+def build_index(groups):
+    """We expected that variable is monotonous, and return index for each step change
+    """
+    i0, i1 = groups.min(), groups.max()
+    amplitude = i1 - i0 + 1
+    # Index of first observation for each group
+    first_index = zeros(amplitude, dtype=int_)
+    for i, group in enumerate(groups[:-1]):
+        # Get next value to compare
+        next_group = groups[i + 1]
+        # if different we need to set index
+        if group != next_group:
+            first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
+    last_index = zeros(amplitude, dtype=int_)
+    last_index[:-1] = first_index[1:]
+    last_index[-1] = i + 2
+    return first_index, last_index, i0
+
+
+def split_network(input, output):
+    """Divide each group in track
+    """
+    sl = slice(None)
+    with Dataset(input) as h:
+        group = h.variables["track"][sl]
+    track_s, track_e, track_ref = build_index(group)
+    # nb = track_e - track_s
+    # m = nb > 1500
+    # print(group[track_s[m]])
+
+    track_id = 12003
+    sls = [slice(track_s[track_id - track_ref], track_e[track_id - track_ref], None)]
+    for sl in sls:
+
+        print(sl)
+        with Dataset(input) as h:
+            time = h.variables["time"][sl]
+            group = h.variables["track"][sl]
+            x = h.variables["effective_contour_longitude"][sl]
+            y = h.variables["effective_contour_latitude"][sl]
+        print(group[0])
+        ids = empty(
+            time.shape,
+            dtype=[
+                ("group", group.dtype),
+                ("time", time.dtype),
+                ("track", "u2"),
+                ("previous_cost", "f4"),
+                ("next_cost", "f4"),
+                ("previous_observation", "i4"),
+                ("next_observation", "i4"),
+            ],
+        )
+        ids["group"] = group
+        ids["time"] = time
+        # To store id track
+        ids["track"] = 0
+        ids["previous_cost"] = 0
+        ids["next_cost"] = 0
+        ids["previous_observation"] = -1
+        ids["next_observation"] = -1
+        # Cost with previous
+        track_start, track_end, track_ref = build_index(group)
+        for i0, i1 in zip(track_start, track_end):
+            if (i1 - i0) == 0 or group[i0] == Network.NOGROUP:
+                continue
+            sl_group = slice(i0, i1)
+            set_tracks(
+                x[sl_group],
+                y[sl_group],
+                time[sl_group],
+                i0,
+                ids["track"][sl_group],
+                ids["previous_cost"][sl_group],
+                ids["next_cost"][sl_group],
+                ids["previous_observation"][sl_group],
+                ids["next_observation"][sl_group],
+                window=5,
+            )
+
+        new_i = ids.argsort(order=("group", "track", "time"))
+        ids_sort = ids[new_i]
+        # To be able to follow indices sorting
+        reverse_sort = empty(new_i.shape[0], dtype="u4")
+        reverse_sort[new_i] = arange(new_i.shape[0])
+        # Redirect indices
+        m = ids_sort["next_observation"] != -1
+        ids_sort["next_observation"][m] = reverse_sort[ids_sort["next_observation"][m]]
+        m = ids_sort["previous_observation"] != -1
+        ids_sort["previous_observation"][m] = reverse_sort[
+            ids_sort["previous_observation"][m]
+        ]
+        # print(ids_sort)
+        display_network(
+            x[new_i],
+            y[new_i],
+            ids_sort["track"],
+            ids_sort["time"],
+            ids_sort["next_cost"],
+        )
+
+
+def next_obs(
+    i_current, next_cost, previous_cost, polygons, t, t_start, t_end, t_ref, window
+):
+    t_max = t_end.shape[0] - 1
+    t_cur = t[i_current]
+    t0, t1 = t_cur + 1 - t_ref, t_cur + window - t_ref
+    if t0 > t_max:
+        return -1
+    t1 = min(t1, t_max)
+    for t_step in range(t0, t1 + 1):
+        i0, i1 = t_start[t_step], t_end[t_step]
+        # No observation at the time step !
+        if i0 == i1:
+            continue
+        sl = slice(i0, i1)
+        # Intersection / union, to be able to separte in case of multiple inside
+        c = polygon_overlap(polygons[i_current], polygons[sl])
+        # We remove low overlap
+        if (c > 0.1).sum() > 1:
+            print(c)
+        c[c < 0.1] = 0
+        # We get index of maximal overlap
+        i = c.argmax()
+        c_i = c[i]
+        # No overlap found
+        if c_i == 0:
+            continue
+        target = i0 + i
+        # Check if candidate is already used
+        c_target = previous_cost[target]
+        if (c_target != 0 and c_target < c_i) or c_target == 0:
+            previous_cost[target] = c_i
+        next_cost[i_current] = c_i
+        return target
+    return -1
+
+
+def set_tracks(
+    x,
+    y,
+    t,
+    ref_index,
+    track,
+    previous_cost,
+    next_cost,
+    previous_observation,
+    next_observation,
+    window,
+):
+    # Will split one group in tracks
+    t_start, t_end, t_ref = build_index(t)
+    nb = x.shape[0]
+    used = zeros(nb, dtype="bool")
+    current_track = 1
+    # build all polygon (need to check if wrap is needed)
+    polygons = list()
+    for i in range(nb):
+        polygons.append(Polygon(create_vertice_from_2darray(x, y, i)))
+
+    for i in range(nb):
+        # If observation already in one track, we go to the next one
+        if used[i]:
+            continue
+        build_track(
+            i,
+            current_track,
+            used,
+            track,
+            previous_observation,
+            next_observation,
+            ref_index,
+            next_cost,
+            previous_cost,
+            polygons,
+            t,
+            t_start,
+            t_end,
+            t_ref,
+            window,
+        )
+        current_track += 1
+
+
+def build_track(
+    first_index,
+    track_id,
+    used,
+    track,
+    previous_observation,
+    next_observation,
+    ref_index,
+    next_cost,
+    previous_cost,
+    *args,
+):
+    i_next = first_index
+    while i_next != -1:
+        # Flag
+        used[i_next] = True
+        # Assign id
+        track[i_next] = track_id
+        # Search next
+        i_next_ = next_obs(i_next, next_cost, previous_cost, *args)
+        if i_next_ == -1:
+            break
+        next_observation[i_next] = i_next_ + ref_index
+        if not used[i_next_]:
+            previous_observation[i_next_] = i_next + ref_index
+        # Target was previously used
+        if used[i_next_]:
+            if next_cost[i_next] == previous_cost[i_next_]:
+                m = track[i_next_:] == track[i_next_]
+                track[i_next_:][m] = track_id
+                previous_observation[i_next_] = i_next + ref_index
+            i_next_ = -1
+        i_next = i_next_
+
+
+def display_network(x, y, tr, t, c):
+    tr0, tr1, t_ref = build_index(tr)
+    import matplotlib.pyplot as plt
+
+    cmap = plt.get_cmap("jet")
+    from .generic import flatten_line_matrix
+
+    fig = plt.figure(figsize=(20, 10))
+    ax = fig.add_subplot(121, aspect="equal")
+    ax.grid()
+    ax_time = fig.add_subplot(122)
+    ax_time.grid()
+    i = 0
+    for s, e in zip(tr0, tr1):
+        if s == e:
+            continue
+        sl = slice(s, e)
+        color = cmap((tr[s] - tr[tr0[0]]) / (tr[tr0[-1]] - tr[tr0[0]]))
+        ax.plot(
+            flatten_line_matrix(x[sl]),
+            flatten_line_matrix(y[sl]),
+            color=color,
+            label=f"{tr[s]} - {e-s} obs from {t[s]} to {t[e-1]}",
+        )
+        i += 1
+        ax_time.plot(
+            t[sl],
+            tr[s].repeat(e - s) + c[sl],
+            color=color,
+            label=f"{tr[s]} - {e-s} obs",
+            lw=0.5,
+        )
+        ax_time.plot(
+            t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+",
+        )
+        ax_time.text(t[s], tr[s] + 0.15, f"{x[s].mean():.2f}, {y[s].mean():.2f}")
+        ax_time.axvline(t[s], color=".75", lw=0.5, ls="--", zorder=-10)
+        ax_time.text(
+            t[e - 1], tr[e - 1] - 0.25, f"{x[e-1].mean():.2f}, {y[e-1].mean():.2f}"
+        )
+    ax.legend()
+    ax_time.legend()
+    plt.show()
diff --git a/src/py_eddy_tracker/network.py b/src/py_eddy_tracker/network.py
deleted file mode 100644
index 578af4f5..00000000
--- a/src/py_eddy_tracker/network.py
+++ /dev/null
@@ -1,238 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
-"""
-
-import logging
-from glob import glob
-from netCDF4 import Dataset
-from Polygon import Polygon
-from numba import njit, uint32
-from numpy import empty, array, arange, unique, bincount
-from py_eddy_tracker.poly import bbox_intersection, create_vertice
-from py_eddy_tracker import EddyParser
-
-
-logger = logging.getLogger("pet")
-
-NOGROUP = 0
-# To be used like a buffer
-DATA = dict()
-FLIST = list()
-
-
-def load_contour(filename, xname, yname):
-    """
-    To avoid multiple load of same file we store last 20 result
-    """
-    if filename not in DATA:
-        with Dataset(filename) as h:
-            if len(FLIST) >= 20:
-                DATA.pop(FLIST.pop(0))
-            FLIST.append(filename)
-            DATA[filename] = h.variables[xname][:], h.variables[yname][:]
-    return DATA[filename]
-
-
-@njit(cache=True)
-def get_wrap_vertice(x0, y0, x1, y1, i):
-    x0_, x1_ = x0[i], x1[i]
-    if abs(x0_[0] - x1_[0]) > 180:
-        ref = x0_[0] - x0.dtype.type(180)
-        x1_ = (x1[i] - ref) % 360 + ref
-    return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
-
-
-def common_area(x0, y0, x1, y1, minimal_area=False):
-    nb, _ = x0.shape
-    cost = empty((nb))
-    for i in range(nb):
-        # Get wrapped vertice for index i
-        v0, v1 = get_wrap_vertice(x0, y0, x1, y1, i)
-        p0 = Polygon(v0)
-        p1 = Polygon(v1)
-        # Area of intersection
-        intersection = (p0 & p1).area()
-        # we divide intersection with the little one result from 0 to 1
-        if minimal_area:
-            p0_area = p0.area()
-            p1_area = p1.area()
-            cost[i] = intersection / min(p0_area, p1_area)
-        # we divide intersection with polygon merging result from 0 to 1
-        else:
-            union = (p0 + p1).area()
-            cost[i] = intersection / union
-    return cost
-
-
-def get_group_array(results, nb_obs):
-    """With a loop on all pair of index, we will label each obs with a group
-    number
-    """
-    nb_obs = array(nb_obs)
-    day_start = nb_obs.cumsum() - nb_obs
-    gr = empty(nb_obs.sum(), dtype="u4")
-    gr[:] = NOGROUP
-
-    id_free = 1
-    for i, j, ii, ij in results:
-        gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]
-        gr_j = gr[slice(day_start[j], day_start[j] + nb_obs[j])]
-        # obs with no groups
-        m = (gr_i[ii] == NOGROUP) * (gr_j[ij] == NOGROUP)
-        nb_new = m.sum()
-        gr_i[ii[m]] = gr_j[ij[m]] = arange(id_free, id_free + nb_new)
-        id_free += nb_new
-        # associate obs with no group with obs with group
-        m = (gr_i[ii] != NOGROUP) * (gr_j[ij] == NOGROUP)
-        gr_j[ij[m]] = gr_i[ii[m]]
-        m = (gr_i[ii] == NOGROUP) * (gr_j[ij] != NOGROUP)
-        gr_i[ii[m]] = gr_j[ij[m]]
-        # case where 2 obs have a different group
-        m = gr_i[ii] != gr_j[ij]
-        if m.any():
-            # Merge of group, ref over etu
-            for i_, j_ in zip(ii[m], ij[m]):
-                gr_i_, gr_j_ = gr_i[i_], gr_j[j_]
-                gr[gr == gr_i_] = gr_j_
-    return gr
-
-
-def save(filenames, gr, out):
-    """Function to saved group output
-    """
-    new_i = get_next_index(gr)
-    nb = gr.shape[0]
-    dtype = list()
-    with Dataset(out, "w") as h_out:
-        with Dataset(filenames[0]) as h_model:
-            for name, dim in h_model.dimensions.items():
-                h_out.createDimension(name, len(dim) if name != "obs" else nb)
-            v = h_out.createVariable(
-                "track", "u4", ("obs",), True, chunksizes=(min(250000, nb),)
-            )
-            d = v[:].copy()
-            d[new_i] = gr
-            v[:] = d
-            for k in h_model.ncattrs():
-                h_out.setncattr(k, h_model.getncattr(k))
-            for name, v in h_model.variables.items():
-                dtype.append(
-                    (
-                        name,
-                        (v.datatype, 50) if "NbSample" in v.dimensions else v.datatype,
-                    )
-                )
-                new_v = h_out.createVariable(
-                    name,
-                    v.datatype,
-                    v.dimensions,
-                    True,
-                    chunksizes=(min(25000, nb), 50)
-                    if "NbSample" in v.dimensions
-                    else (min(250000, nb),),
-                )
-                for k in v.ncattrs():
-                    if k in ("min", "max",):
-                        continue
-                    new_v.setncattr(k, v.getncattr(k))
-        data = empty(nb, dtype)
-        i = 0
-        debug_active = logger.getEffectiveLevel() == logging.DEBUG
-        for filename in filenames:
-            if debug_active:
-                print(f"Load {filename} to copy", end="\r")
-            with Dataset(filename) as h_in:
-                stop = i + len(h_in.dimensions["obs"])
-                sl = slice(i, stop)
-                for name, _ in dtype:
-                    v = h_in.variables[name]
-                    v.set_auto_maskandscale(False)
-                    data[name][new_i[sl]] = v[:]
-                i = stop
-        if debug_active:
-            print()
-        for name, _ in dtype:
-            v = h_out.variables[name]
-            v.set_auto_maskandscale(False)
-            v[:] = data[name]
-
-
-@njit(cache=True)
-def get_next_index(gr):
-    """Return for each obs index the new position to join all group
-    """
-    nb_obs_gr = bincount(gr)
-    i_gr = nb_obs_gr.cumsum() - nb_obs_gr
-    new_index = empty(gr.shape, dtype=uint32)
-    for i, g in enumerate(gr):
-        new_index[i] = i_gr[g]
-        i_gr[g] += 1
-    return new_index
-
-
-def build_network():
-    parser = EddyParser("Merge eddies")
-    parser.add_argument(
-        "identification_regex",
-        help="Give an expression which will use with glob, currently only netcdf file",
-    )
-    parser.add_argument("out", help="output file, currently only netcdf file")
-    parser.add_argument(
-        "--window", "-w", type=int, help="Half time window to search eddy", default=1
-    )
-    parser.add_argument(
-        "--intern",
-        action="store_true",
-        help="Use intern contour instead of outter contour",
-    )
-    args = parser.parse_args()
-    network(args.identification_regex, args.out, window=args.window, intern=args.intern)
-
-
-def network(regex, filename_out, window=1, intern=False):
-    filenames = glob(regex)
-    filenames.sort()
-    nb_in = len(filenames)
-    if intern:
-        coord = "speed_contour_longitude", "speed_contour_latitude"
-    else:
-        coord = "effective_contour_longitude", "effective_contour_latitude"
-    results, nb_obs = list(), list()
-    debug_active = logger.getEffectiveLevel() == logging.DEBUG
-    for i, filename in enumerate(filenames):
-        if debug_active:
-            print(f"{filename} compared to {window} next", end="\r")
-        xi, yi = load_contour(filename, *coord)
-        nb_obs.append(xi.shape[0])
-        for j in range(i + 1, min(window + i + 1, nb_in)):
-            xj, yj = load_contour(filenames[j], *coord)
-            ii, ij = bbox_intersection(xi, yi, xj, yj)
-            m = common_area(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True) > 0.2
-            results.append((i, j, ii[m], ij[m]))
-    if debug_active:
-        print()
-
-    gr = get_group_array(results, nb_obs)
-    logger.info(
-        f"{(gr == NOGROUP).sum()} alone / {len(gr)} obs, {len(unique(gr))} groups"
-    )
-    save(filenames, gr, filename_out)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
new file mode 100644
index 00000000..ffca3153
--- /dev/null
+++ b/src/py_eddy_tracker/observations/network.py
@@ -0,0 +1,187 @@
+# -*- coding: utf-8 -*-
+"""
+===========================================================================
+This file is part of py-eddy-tracker.
+
+    py-eddy-tracker is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    py-eddy-tracker is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
+
+Copyright (c) 2014-2017 by Evan Mason and Antoine Delepoulle
+Email: emason@imedea.uib-csic.es
+===========================================================================
+
+tracking.py
+
+Version 3.0.0
+
+===========================================================================
+
+"""
+import logging
+from glob import glob
+from numpy import array, empty, arange, unique, bincount, uint32
+from numba import njit
+from .observation import EddiesObservations
+from ..poly import bbox_intersection, vertice_overlap
+
+logger = logging.getLogger("pet")
+
+
+class Network:
+    __slots__ = ("window", "filenames", "contour_name", "nb_input", "xname", "yname")
+    # To be used like a buffer
+    DATA = dict()
+    FLIST = list()
+    NOGROUP = 0
+
+    def __init__(self, input_regex, window=5, intern=False):
+        self.window = window
+        self.contour_name = EddiesObservations.intern(intern, public_label=True)
+        self.xname, self.yname = EddiesObservations.intern(intern,)
+        self.filenames = glob(input_regex)
+        self.filenames.sort()
+        self.nb_input = len(self.filenames)
+
+    def load_contour(self, filename):
+        if filename not in self.DATA:
+            if len(self.FLIST) > self.window:
+                self.DATA.pop(self.FLIST.pop(0))
+            e = EddiesObservations.load_file(filename, include_vars=self.contour_name)
+            self.DATA[filename] = e[self.xname], e[self.yname]
+        return self.DATA[filename]
+
+    def get_group_array(self, results, nb_obs):
+        """With a loop on all pair of index, we will label each obs with a group
+        number
+        """
+        nb_obs = array(nb_obs)
+        day_start = nb_obs.cumsum() - nb_obs
+        gr = empty(nb_obs.sum(), dtype="u4")
+        gr[:] = self.NOGROUP
+
+        id_free = 1
+        for i, j, ii, ij in results:
+            gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]
+            gr_j = gr[slice(day_start[j], day_start[j] + nb_obs[j])]
+            # obs with no groups
+            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] == self.NOGROUP)
+            nb_new = m.sum()
+            gr_i[ii[m]] = gr_j[ij[m]] = arange(id_free, id_free + nb_new)
+            id_free += nb_new
+            # associate obs with no group with obs with group
+            m = (gr_i[ii] != self.NOGROUP) * (gr_j[ij] == self.NOGROUP)
+            gr_j[ij[m]] = gr_i[ii[m]]
+            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] != self.NOGROUP)
+            gr_i[ii[m]] = gr_j[ij[m]]
+            # case where 2 obs have a different group
+            m = gr_i[ii] != gr_j[ij]
+            if m.any():
+                # Merge of group, ref over etu
+                for i_, j_ in zip(ii[m], ij[m]):
+                    gr_i_, gr_j_ = gr_i[i_], gr_j[j_]
+                    gr[gr == gr_i_] = gr_j_
+        return gr
+
+    def group_observations(self, **kwargs):
+        results, nb_obs = list(), list()
+        # To display print only in INFO
+        display_iteration = logger.getEffectiveLevel() == logging.INFO
+        for i, filename in enumerate(self.filenames):
+            if display_iteration:
+                print(f"{filename} compared to {self.window} next", end="\r")
+            # Load observations with function to buffered observations
+            xi, yi = self.load_contour(filename)
+            # Append number of observations by filename
+            nb_obs.append(xi.shape[0])
+            for j in range(i + 1, min(self.window + i + 1, self.nb_input)):
+                xj, yj = self.load_contour(self.filenames[j])
+                ii, ij = bbox_intersection(xi, yi, xj, yj)
+                m = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs) > 0.2
+                results.append((i, j, ii[m], ij[m]))
+        if display_iteration:
+            print()
+
+        gr = self.get_group_array(results, nb_obs)
+        logger.info(
+            f"{(gr == self.NOGROUP).sum()} alone / {len(gr)} obs, {len(unique(gr))} groups"
+        )
+
+    def save(self, output_filename):
+        new_i = get_next_index(gr)
+        nb = gr.shape[0]
+        dtype = list()
+        with Dataset(output_filename, "w") as h_out:
+            with Dataset(self.filenames[0]) as h_model:
+                for name, dim in h_model.dimensions.items():
+                    h_out.createDimension(name, len(dim) if name != "obs" else nb)
+                v = h_out.createVariable(
+                    "track", "u4", ("obs",), True, chunksizes=(min(250000, nb),)
+                )
+                d = v[:].copy()
+                d[new_i] = gr
+                v[:] = d
+                for k in h_model.ncattrs():
+                    h_out.setncattr(k, h_model.getncattr(k))
+                for name, v in h_model.variables.items():
+                    dtype.append(
+                        (
+                            name,
+                            (v.datatype, 50) if "NbSample" in v.dimensions else v.datatype,
+                        )
+                    )
+                    new_v = h_out.createVariable(
+                        name,
+                        v.datatype,
+                        v.dimensions,
+                        True,
+                        chunksizes=(min(25000, nb), 50)
+                        if "NbSample" in v.dimensions
+                        else (min(250000, nb),),
+                    )
+                    for k in v.ncattrs():
+                        if k in ("min", "max",):
+                            continue
+                        new_v.setncattr(k, v.getncattr(k))
+            data = empty(nb, dtype)
+            i = 0
+            debug_active = logger.getEffectiveLevel() == logging.DEBUG
+            for filename in self.filenames:
+                if debug_active:
+                    print(f"Load {filename} to copy", end="\r")
+                with Dataset(filename) as h_in:
+                    stop = i + len(h_in.dimensions["obs"])
+                    sl = slice(i, stop)
+                    for name, _ in dtype:
+                        v = h_in.variables[name]
+                        v.set_auto_maskandscale(False)
+                        data[name][new_i[sl]] = v[:]
+                    i = stop
+            if debug_active:
+                print()
+            for name, _ in dtype:
+                v = h_out.variables[name]
+                v.set_auto_maskandscale(False)
+                v[:] = data[name]
+
+
+@njit(cache=True)
+def get_next_index(gr):
+    """Return for each obs index the new position to join all group
+    """
+    nb_obs_gr = bincount(gr)
+    i_gr = nb_obs_gr.cumsum() - nb_obs_gr
+    new_index = empty(gr.shape, dtype=uint32)
+    for i, g in enumerate(gr):
+        new_index[i] = i_gr[g]
+        i_gr[g] += 1
+    return new_index
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index feb25fad..f850a879 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -69,7 +69,7 @@
     local_to_coordinates,
     reverse_index
 )
-from ..poly import bbox_intersection, common_area, create_vertice
+from ..poly import bbox_intersection, vertice_overlap, create_vertice
 
 logger = logging.getLogger("pet")
 
@@ -755,7 +755,7 @@ def match(self, other, intern=False, cmin=0):
         i, j = bbox_intersection(
             self[x_name], self[y_name], other[x_name], other[y_name]
         )
-        c = common_area(
+        c = vertice_overlap(
             self[x_name][i], self[y_name][i], other[x_name][j], other[y_name][j]
         )
         m = c > cmin
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index b397eebf..50bc691d 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -151,14 +151,55 @@ def create_vertice(x, y):
     return v
 
 
-def common_area(x0, y0, x1, y1):
+@njit(cache=True)
+def create_vertice_from_2darray(x, y, index):
+    _, nb = x.shape
+    v = empty((nb, 2), dtype=x.dtype)
+    for i in range(nb):
+        v[i, 0] = x[index, i]
+        v[i, 1] = y[index, i]
+    return v
+
+
+@njit(cache=True)
+def get_wrap_vertice(x0, y0, x1, y1, i):
+    x0_, x1_ = x0[i], x1[i]
+    if abs(x0_[0] - x1_[0]) > 180:
+        ref = x0_[0] - x0.dtype.type(180)
+        x1_ = (x1[i] - ref) % 360 + ref
+    return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
+
+
+def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     nb, _ = x0.shape
-    cost = empty((nb))
+    cost = empty(nb)
     for i in range(nb):
-        x0_, x1_ = x0[i], x1[i]
-        if abs(x0_[0] - x1_[0]) > 180:
-            x1_ = (x1[i] - (x0_[0] - 180)) % 360 + x0_[0] - 180
-        p0 = Polygon(create_vertice(x0_, y0[i]))
-        p1 = Polygon(create_vertice(x1_, y1[i]))
-        cost[i] = (p0 & p1).area() / (p0 + p1).area()
+        # Get wrapped vertice for index i
+        v0, v1 = get_wrap_vertice(x0, y0, x1, y1, i)
+        p0 = Polygon(v0)
+        p1 = Polygon(v1)
+        # Area of intersection
+        intersection = (p0 & p1).area()
+        # we divide intersection with the little one result from 0 to 1
+        if minimal_area:
+            cost[i] = intersection / min(p0.area(), p1.area())
+        # we divide intersection with polygon merging result from 0 to 1
+        else:
+            cost[i] = intersection / (p0 + p1).area()
+    return cost
+
+
+def polygon_overlap(p0, p1, minimal_area=False):
+    nb = len(p1)
+    cost = empty(nb)
+    for i in range(nb):
+        p_ = p1[i]
+        # Area of intersection
+        intersection = (p0 & p_).area()
+        # we divide intersection with the little one result from 0 to 1
+        if minimal_area:
+            cost[i] = intersection / min(p0.area(), p_.area())
+        # we divide intersection with polygon merging result from 0 to 1
+        else:
+            cost[i] = intersection / (p0 + p_).area()
     return cost

From 31e1bf21e8574cf8f59c5a0e990d5735c5858ab0 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sat, 8 Aug 2020 22:21:55 +0200
Subject: [PATCH 072/441] patch for #17

---
 examples/02_eddy_identification/pet_sla_and_adt.py   | 12 ++++++------
 .../02_eddy_identification/pet_sla_and_adt.ipynb     |  6 +++---
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index fef7373d..68a47eec 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -55,32 +55,32 @@ def update_axes(ax, mappable=None):
 # over filtered
 ax = start_axes(f"ADT (m) filtered ({wavelength}km)")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
-a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)
+a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_c_adt)
 ax.legend(), update_axes(ax, m)
 
 ax = start_axes(f"SLA (m) filtered ({wavelength}km)")
 m = g.display(ax, "sla", vmin=-0.15, vmax=0.15)
-a_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)
+a_sla.display(ax, **kwargs_a_sla), c_sla.display(ax, **kwargs_c_sla)
 ax.legend(), update_axes(ax, m)
 
 # %%
 # over raw
 ax = start_axes("ADT (m)")
 m = g.display(ax, "adt_raw", vmin=-0.15, vmax=0.15)
-a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)
+a_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_c_adt)
 ax.legend(), update_axes(ax, m)
 
 ax = start_axes("SLA (m)")
 m = g.display(ax, "sla_raw", vmin=-0.15, vmax=0.15)
-a_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)
+a_sla.display(ax, **kwargs_a_sla), c_sla.display(ax, **kwargs_c_sla)
 ax.legend(), update_axes(ax, m)
 
 # %%
 # Display detection
 ax = start_axes("Eddies detected")
 a_adt.display(ax, **kwargs_a_adt)
-a_sla.display(ax, **kwargs_c_adt)
-c_adt.display(ax, **kwargs_a_sla)
+a_sla.display(ax, **kwargs_a_sla)
+c_adt.display(ax, **kwargs_c_adt)
 c_sla.display(ax, **kwargs_c_sla)
 ax.legend()
 update_axes(ax)
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 914d7df4..8e166895 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -102,7 +102,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(f\"ADT (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(f\"SLA (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"sla\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
+        "ax = start_axes(f\"ADT (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_c_adt)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(f\"SLA (m) filtered ({wavelength}km)\")\nm = g.display(ax, \"sla\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_a_sla), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
       ]
     },
     {
@@ -120,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt_raw\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_a_sla)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(\"SLA (m)\")\nm = g.display(ax, \"sla_raw\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_c_adt), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
+        "ax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt_raw\", vmin=-0.15, vmax=0.15)\na_adt.display(ax, **kwargs_a_adt), c_adt.display(ax, **kwargs_c_adt)\nax.legend(), update_axes(ax, m)\n\nax = start_axes(\"SLA (m)\")\nm = g.display(ax, \"sla_raw\", vmin=-0.15, vmax=0.15)\na_sla.display(ax, **kwargs_a_sla), c_sla.display(ax, **kwargs_c_sla)\nax.legend(), update_axes(ax, m)"
       ]
     },
     {
@@ -138,7 +138,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected\")\na_adt.display(ax, **kwargs_a_adt)\na_sla.display(ax, **kwargs_c_adt)\nc_adt.display(ax, **kwargs_a_sla)\nc_sla.display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"Eddies detected\")\na_adt.display(ax, **kwargs_a_adt)\na_sla.display(ax, **kwargs_a_sla)\nc_adt.display(ax, **kwargs_c_adt)\nc_sla.display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {

From 3819ca70b7ed6958940b362a0fc69197c41d0d88 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Tue, 11 Aug 2020 21:30:31 +0200
Subject: [PATCH 073/441] add network functions and clean some file/share

---
 .../pet_track_anim.py                         |   2 +-
 .../pet_track_anim.ipynb                      |   2 +-
 setup.py                                      |   4 +-
 share/eddy_identification.yaml                |  98 -----------
 src/py_eddy_tracker/__init__.py               |  44 +++--
 src/py_eddy_tracker/appli/grid.py             |  80 ++++++++-
 src/py_eddy_tracker/appli/network.py          |  56 +++----
 src/py_eddy_tracker/dataset/grid.py           | 123 ++++++--------
 src/py_eddy_tracker/generic.py                |  36 +++-
 src/py_eddy_tracker/observations/network.py   |  85 +++-------
 .../observations/observation.py               |  36 +---
 src/py_eddy_tracker/observations/tracking.py  | 156 +++++++++++++++---
 src/py_eddy_tracker/poly.py                   |   4 +-
 src/py_eddy_tracker/tracking.py               |   4 +-
 src/scripts/EddyId                            |  64 -------
 src/scripts/GridFiltering                     |  34 ----
 src/scripts/ZarrDump                          |  15 --
 17 files changed, 403 insertions(+), 440 deletions(-)
 delete mode 100644 share/eddy_identification.yaml
 delete mode 100644 src/scripts/EddyId
 delete mode 100644 src/scripts/GridFiltering
 delete mode 100644 src/scripts/ZarrDump

diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index 21b88324..36d847a3 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -6,7 +6,7 @@
 
 """
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.appli import Anim
+from py_eddy_tracker.appli.gui import Anim
 import py_eddy_tracker_sample
 
 # %%
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 6cdaf93a..e9c9e4dc 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli import Anim\nimport py_eddy_tracker_sample"
+        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli.gui import Anim\nimport py_eddy_tracker_sample"
       ]
     },
     {
diff --git a/setup.py b/setup.py
index f7c6d104..80aa0e53 100644
--- a/setup.py
+++ b/setup.py
@@ -20,12 +20,11 @@
         "Programming Language :: Python",
     ],
     keywords="eddy science, eddy tracking, eddy tracker",
-    author="emason",
+    author="emason & adelepoulle",
     author_email="emason@imedea.uib-csic.es",
     packages=find_packages("src"),
     package_dir={"": "src"},
     scripts=[
-        "src/scripts/EddyId",
         "src/scripts/EddySubSetter",
         "src/scripts/EddyTranslate",
         "src/scripts/EddyTracking",
@@ -38,6 +37,7 @@
         console_scripts=[
             # grid
             "GridFiltering = py_eddy_tracker.appli.grid:grid_filtering",
+            "EddyId = py_eddy_tracker.appli.grid:eddy_id",
             # eddies
             "MergeEddies = py_eddy_tracker.appli.eddies:merge_eddies",
             # network
diff --git a/share/eddy_identification.yaml b/share/eddy_identification.yaml
deleted file mode 100644
index dcd5823d..00000000
--- a/share/eddy_identification.yaml
+++ /dev/null
@@ -1,98 +0,0 @@
-
-# Two diagnostics, based on SLA (e.g., Chelton et al, 2011)
-DIAGNOSTIC_TYPE: 'SLA'
-
-# Specify domain
-DOMAIN:
-  THE_DOMAIN: 'Regional'
-  LONMIN: -40
-  LONMAX: -10
-  LATMIN: 18
-  LATMAX: 34
-  DATE_STR: 2007-06-27
-  DATE_END: 2009-12-31
-
-DATASET:
-    # Path to data
-    DATA_DIR: '/marula/emason/data/altimetry/global/delayed-time/grids/msla/all-sat-merged/h/'
-    # Model to select file
-    FILES_MODEL: dt_global_allsat_msla_h_????????_????????.nc
-    # Model to extract date (regular expression)
-    DATE_REGEXP: dt_global_allsat_msla_h_([0-9]*)_[0-9]*.nc
-    # Model to transfer date to python datetime
-    DATE_MODEL: '%Y%m%d'
-    # Grid Name to compute analysis
-    VAR_NAME: sla
-    # Longitude variable
-    LON_NAME: lon
-    # Latitude variable
-    LAT_NAME: lat
-    # Step to do SUBSAMPLING (1 no subsampling)
-    SUBSAMPLING: 1
-
-PATHS:
-  # Obtain file from:
-  # http://www-po.coas.oregonstate.edu/research/po/research/rossby_radius/
-  RW_PATH: '/home/emason/Dropbox/rossrad.dat'
-  # Path for saving of outputs
-  SAVE_DIR: '/home/emason/toto/'
-
-  # Reference Julian day (Julian date at Jan 1, 1992)
-JDAY_REFERENCE: 2448623.
-
-# Define contouring parameters
-CONTOUR_PARAMETER:
-  # Set SLA contour spacing (cm)
-  CONTOUR_PARAMETER_SLA:
-    MAX_SLA: 100.
-    INTERVAL: 0.25
-    #~ INTERVAL: 1
-
-# Shape error (see Kurian et al 2011)
-SHAPE_ERROR: 95. # % (Mason et al 2014 use 55%)
-    
-# Filtering
-SMOOTHING: Yes
-SMOOTHING_SLA:
-  TYPE: 'Gaussian'
-  ZWL: 20. # degrees, zonal wavelength (see Chelton etal 2011)
-  MWL: 10. # degrees, meridional wavelength
-
-# Min and max permitted eddy radii [degrees] and amplitudes (cm)
-# 0.4 for DT10, 0.35 for DT14
-RADMIN: 0.15
-RADMAX: 4.461
-AMPMIN: 0.005
-AMPMAX: 150.
-
-# MPM14 use 1; CSS11 have no limit
-MAX_LOCAL_EXTREMA: 1
-
-# Parameters used by Chelton etal and Kurian etal (Sec. 3.2) to ensure 
-# the slow evolution of the eddies over time;
-# they use min and max values of 0.25 and 2.5
-EVOLVE_AMP_MIN: 0.0005 # min change in amplitude
-EVOLVE_AMP_MAX: 500 # max change in amplitude
-EVOLVE_AREA_MIN: 0.0005 # min change in area
-EVOLVE_AREA_MAX: 500 # max change in area
-
-# Define track_extra_variables to track and save:
-# - effective contour points
-# - speed-based contour points
-# - shape test values
-# - profiles of swirl velocity from effective contour inwards
-# Useful for working with ARGO data    
-TRACK_EXTRA_VARIABLES:
-    - shape_error_e
-    - shape_error_s
-
-TRACK_ARRAY_VARIABLES:
-    NB_SAMPLES: 50
-    VARIABLES:
-        - contour_lon_e
-        - contour_lat_e
-        - contour_lon_s
-        - contour_lat_s
-
-# 'RectBivariate' is faster
-INTERP_METHOD: 'RectBivariate'
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 4f14c7d6..c8eafbb0 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -31,12 +31,13 @@ def start_logger():
     FORMAT_LOG = (
         "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t\t\t\t\t%(message)s"
     )
-    # set up logging to CONSOLE
-    console = logging.StreamHandler()
-    console.setFormatter(ColoredFormatter(FORMAT_LOG))
     logger = logging.getLogger("pet")
-    # add the handler to the root logger
-    logger.addHandler(console)
+    if len(logger.handlers) == 0:
+        # set up logging to CONSOLE
+        console = logging.StreamHandler()
+        console.setFormatter(ColoredFormatter(FORMAT_LOG))
+        # add the handler to the root logger
+        logger.addHandler(console)
     return logger
 
 
@@ -50,7 +51,7 @@ class ColoredFormatter(logging.Formatter):
     )
 
     def __init__(self, message):
-        super(ColoredFormatter, self).__init__(message)
+        super().__init__(message)
 
     def format(self, record):
         color = self.COLOR_LEVEL.get(record.levelname, "")
@@ -60,7 +61,7 @@ def format(self, record):
         record.funcName = model % record.funcName
         record.module = model % record.module
         record.levelname = model % record.levelname
-        return super(ColoredFormatter, self).format(record)
+        return super().format(record)
 
 
 class EddyParser(ArgumentParser):
@@ -68,7 +69,7 @@ class EddyParser(ArgumentParser):
     """
 
     def __init__(self, *args, **kwargs):
-        super(EddyParser, self).__init__(*args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.add_base_argument()
 
     def add_base_argument(self):
@@ -85,7 +86,7 @@ def add_base_argument(self):
     def parse_args(self, *args, **kwargs):
         logger = start_logger()
         # Parsing
-        opts = super(EddyParser, self).parse_args(*args, **kwargs)
+        opts = super().parse_args(*args, **kwargs)
         # set current level
         logger.setLevel(getattr(logging, opts.logging_level.upper()))
         return opts
@@ -395,6 +396,17 @@ def parse_args(self, *args, **kwargs):
             axis="X",
         ),
     ),
+    num_point_e=dict(
+        attr_name=None,
+        nc_name="num_point_e",
+        nc_type="u2",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="number of point for effective contour",
+            units="ordinal",
+            description="Number of point for effective contour, if greater than NbSample, there is a resampling",
+        ),
+    ),
     contour_lon_s=dict(
         attr_name=None,
         nc_name="speed_contour_longitude",
@@ -428,6 +440,17 @@ def parse_args(self, *args, **kwargs):
             axis="X",
         ),
     ),
+    num_point_s=dict(
+        attr_name=None,
+        nc_name="num_point_s",
+        nc_type="u2",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            longname="number of point for speed contour",
+            units="ordinal",
+            description="Number of point for speed contour, if greater than NbSample, there is a resampling",
+        ),
+    ),
     shape_error_e=dict(
         attr_name=None,
         nc_name="effective_contour_shape_error",
@@ -590,5 +613,6 @@ def parse_args(self, *args, **kwargs):
         VAR_DESCR_inv[key_old] = key
 
 from ._version import get_versions
-__version__ = get_versions()['version']
+
+__version__ = get_versions()["version"]
 del get_versions
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 1bd39937..4223a236 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -20,11 +20,12 @@
 Email: evanmason@gmail.com
 ===========================================================================
 """
+from datetime import datetime
 from .. import EddyParser
-from ..dataset.grid import RegularGridDataset
+from ..dataset.grid import RegularGridDataset, UnRegularGridDataset
 
 
-def grid_parser():
+def filtering_parser():
     parser = EddyParser("Grid filtering")
     parser.add_argument("filename")
     parser.add_argument("grid")
@@ -49,7 +50,7 @@ def grid_parser():
 
 
 def grid_filtering():
-    args = grid_parser().parse_args()
+    args = filtering_parser().parse_args()
 
     h = RegularGridDataset(args.filename, args.longitude, args.latitude)
     if args.low:
@@ -61,3 +62,76 @@ def grid_filtering():
             args.grid, args.cut_wavelength, order=args.filter_order, extend=args.extend
         )
     h.write(args.filename_out)
+
+
+def eddy_id(args=None):
+    parser = EddyParser("Eddy Identification")
+    parser.add_argument("filename")
+    parser.add_argument("datetime")
+    parser.add_argument("h")
+    parser.add_argument("u", help="If it s None, it will be deduce from h")
+    parser.add_argument("v", help="If it s None, it will be deduce from h")
+    parser.add_argument("longitude")
+    parser.add_argument("latitude")
+    parser.add_argument("path_out")
+    help = "Wavelength for mesoscale filter in km"
+    parser.add_argument("--cut_wavelength", default=500, type=float, help=help)
+    parser.add_argument("--filter_order", default=3, type=int)
+    help = "Step between 2 isoline in m"
+    parser.add_argument("--isoline_step", default=0.002, type=float, help=help)
+    help = "Error max accepted to fit circle in percent"
+    parser.add_argument("--fit_errmax", default=55, type=float, help=help)
+    parser.add_argument("--height_unit", default=None, help="Force height unit")
+    parser.add_argument("--speed_unit", default=None, help="Force speed unit")
+    parser.add_argument("--unregular", action="store_true", help="if grid is unregular")
+    help = "Output will be wrote in zarr"
+    parser.add_argument("--zarr", action="store_true", help=help)
+    args = parser.parse_args(args) if args else parser.parse_args()
+
+    date = datetime.strptime(args.datetime, "%Y%m%d")
+    kwargs = dict(
+        step=args.isoline_step,
+        shape_error=args.fit_errmax,
+        pixel_limit=(5, 2000),
+        force_height_unit=args.height_unit,
+        force_speed_unit=args.speed_unit,
+    )
+    a, c = identification(
+        args.filename,
+        args.longitude,
+        args.latitude,
+        date,
+        args.h,
+        args.u,
+        args.v,
+        unregular=args.unregular,
+        cut_wavelength=args.cut_wavelength,
+        filter_order=args.filter_order,
+        **kwargs
+    )
+    out_name = date.strftime("%(path)s/%(sign_type)s_%Y%m%d.nc")
+    a.write_file(path=args.path_out, filename=out_name, zarr_flag=args.zarr)
+    c.write_file(path=args.path_out, filename=out_name, zarr_flag=args.zarr)
+
+
+def identification(
+    filename,
+    lon,
+    lat,
+    date,
+    h,
+    u="None",
+    v="None",
+    unregular=False,
+    cut_wavelength=500,
+    filter_order=1,
+    **kwargs
+):
+    grid_class = UnRegularGridDataset if unregular else RegularGridDataset
+    grid = grid_class(filename, lon, lat)
+    if u == "None" and v == "None":
+        grid.add_uv(h)
+        u, v = "u", "v"
+    if cut_wavelength != 0:
+        grid.bessel_high_filter(h, cut_wavelength, order=filter_order)
+    return grid.eddy_identification(h, u, v, date, **kwargs)
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index ad61453b..0c39252f 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -23,12 +23,13 @@
 
 import logging
 from netCDF4 import Dataset
-from numba import njit, int_
 from numpy import empty, arange, zeros
 from Polygon import Polygon
 from ..poly import polygon_overlap, create_vertice_from_2darray
 from .. import EddyParser
 from ..observations.network import Network
+from ..observations.tracking import TrackEddiesObservations
+from ..generic import build_index
 
 logger = logging.getLogger("pet")
 
@@ -36,10 +37,9 @@
 def build_network():
     parser = EddyParser("Merge eddies")
     parser.add_argument(
-        "identification_regex",
-        help="Give an expression which will use with glob, currently only netcdf file",
+        "identification_regex", help="Give an expression which will use with glob",
     )
-    parser.add_argument("out", help="output file, currently only netcdf file")
+    parser.add_argument("out", help="output file")
     parser.add_argument(
         "--window", "-w", type=int, help="Half time window to search eddy", default=1
     )
@@ -48,39 +48,37 @@ def build_network():
         action="store_true",
         help="Use intern contour instead of outter contour",
     )
+    parser.add_argument(
+        "--keep_untracked",
+        action="store_true",
+        help=f"Store untracked observation with group number {Network.NOGROUP}",
+    )
     args = parser.parse_args()
 
     n = Network(args.identification_regex, window=args.window, intern=args.intern)
-    n.group_observations(minimal_area=True)
-    n.save(args.out)
+    group = n.group_observations(minimal_area=True)
+    n.build_dataset(group, args.keep_untracked).write_file(filename=args.out)
 
 
 def divide_network():
     parser = EddyParser("Separate path for a same group")
     parser.add_argument("input", help="input network file")
-    parser.add_argument("out", help="output file, currently only netcdf file")
+    parser.add_argument("out", help="output file")
+    parser.add_argument(
+        "--intern",
+        action="store_true",
+        help="Use intern contour instead of outter contour",
+    )
+    parser.add_argument(
+        "--window", "-w", type=int, help="Half time window to search eddy", default=1
+    )
     args = parser.parse_args()
-    split_network(args.input, args.out)
-
-
-@njit(cache=True)
-def build_index(groups):
-    """We expected that variable is monotonous, and return index for each step change
-    """
-    i0, i1 = groups.min(), groups.max()
-    amplitude = i1 - i0 + 1
-    # Index of first observation for each group
-    first_index = zeros(amplitude, dtype=int_)
-    for i, group in enumerate(groups[:-1]):
-        # Get next value to compare
-        next_group = groups[i + 1]
-        # if different we need to set index
-        if group != next_group:
-            first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
-    last_index = zeros(amplitude, dtype=int_)
-    last_index[:-1] = first_index[1:]
-    last_index[-1] = i + 2
-    return first_index, last_index, i0
+    contour_name = TrackEddiesObservations.intern(args.intern, public_label=True)
+    e = TrackEddiesObservations.load_file(
+        args.input, include_vars=("time", "track", *contour_name)
+    )
+    e.split_network(intern=args.intern, window=args.window)
+    # split_network(args.input, args.out)
 
 
 def split_network(input, output):
@@ -289,7 +287,7 @@ def display_network(x, y, tr, t, c):
     import matplotlib.pyplot as plt
 
     cmap = plt.get_cmap("jet")
-    from .generic import flatten_line_matrix
+    from ..generic import flatten_line_matrix
 
     fig = plt.figure(figsize=(20, 10))
     ax = fig.add_subplot(121, aspect="equal")
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 832e417b..3f8b6dd7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -551,7 +551,7 @@ def eddy_identification(
         date,
         step=0.005,
         shape_error=55,
-        array_sampling=50,
+        sampling=50,
         pixel_limit=None,
         precision=None,
         force_height_unit=None,
@@ -566,7 +566,7 @@ def eddy_identification(
             date:
             step: must be in meter (m)
             shape_error: must be in percent (%)
-            array_sampling:
+            sampling:
             pixel_limit:
             precision: must be in meter(m)
 
@@ -635,6 +635,7 @@ def eddy_identification(
         # Compute ssh contour
         self.contours = Contours(x, y, data, levels, wrap_x=self.is_circular())
 
+        out_sampling = dict(fixed_size=sampling, only_bigger=False)
         track_extra_variables = [
             "height_max_speed_contour",
             "height_external_contour",
@@ -674,15 +675,10 @@ def eddy_identification(
                 )
 
                 # Loop over individual c_s contours (i.e., every eddy in field)
-                for current_contour in contour_paths:
-                    if current_contour.used:
+                for contour in contour_paths:
+                    if contour.used:
                         continue
-                    (
-                        centlon_e,
-                        centlat_e,
-                        eddy_radius_e,
-                        aerr,
-                    ) = current_contour.fit_circle()
+                    centlon_e, centlat_e, eddy_radius_e, aerr = contour.fit_circle()
 
                     # Filter for shape
                     if aerr < 0 or aerr > shape_error or isnan(aerr):
@@ -701,18 +697,18 @@ def eddy_identification(
                         continue
 
                     # Find all pixels in the contour
-                    i_x_in, i_y_in = current_contour.pixels_in(self)
+                    i_x_in, i_y_in = contour.pixels_in(self)
 
                     # Maybe limit max must be replace with a maximum of surface
                     if (
-                        current_contour.nb_pixel < pixel_limit[0]
-                        or current_contour.nb_pixel > pixel_limit[1]
+                        contour.nb_pixel < pixel_limit[0]
+                        or contour.nb_pixel > pixel_limit[1]
                     ):
                         continue
 
                     # Compute amplitude
                     reset_centroid, amp = self.get_amplitude(
-                        current_contour,
+                        contour,
                         cvalues,
                         data,
                         anticyclonic_search=anticyclonic_search,
@@ -750,7 +746,7 @@ def eddy_identification(
                         self.contours,
                         centlon_e,
                         centlat_e,
-                        current_contour,
+                        contour,
                         anticyclonic_search,
                         corrected_coll_index,
                         pixel_min=pixel_limit[0],
@@ -775,57 +771,47 @@ def eddy_identification(
                     )
                     # Computed again to be coherent with speed_radius, we will be compute in same reference
                     _, _, eddy_radius_e, aerr_e = fit_circle(
-                        *proj(current_contour.lon, current_contour.lat)
+                        *proj(contour.lon, contour.lat)
                     )
                     centlon_s, centlat_s = proj(centx_s, centy_s, inverse=True)
 
                     # Instantiate new EddyObservation object (high cost need to be review)
-                    properties = EddiesObservations(
+                    obs = EddiesObservations(
                         size=1,
                         track_extra_variables=track_extra_variables,
-                        track_array_variables=array_sampling,
+                        track_array_variables=sampling,
                         array_variables=array_variables,
                     )
 
-                    properties.obs["height_max_speed_contour"] = self.contours.cvalues[
+                    obs.obs["height_max_speed_contour"] = self.contours.cvalues[
                         i_max_speed
                     ]
-                    properties.obs["height_external_contour"] = cvalues
-                    properties.obs["height_inner_contour"] = self.contours.cvalues[
-                        i_inner
-                    ]
+                    obs.obs["height_external_contour"] = cvalues
+                    obs.obs["height_inner_contour"] = self.contours.cvalues[i_inner]
                     array_size = speed_array.shape[0]
-                    properties.obs["nb_contour_selected"] = array_size
+                    obs.obs["nb_contour_selected"] = array_size
                     if speed_array.shape[0] == 1:
-                        properties.obs["uavg_profile"][:] = speed_array[0]
+                        obs.obs["uavg_profile"][:] = speed_array[0]
                     else:
-                        properties.obs["uavg_profile"] = raw_resample(
-                            speed_array, array_sampling
-                        )
-                    properties.obs["amplitude"] = amp.amplitude
-                    properties.obs["radius_s"] = eddy_radius_s
-                    properties.obs["speed_average"] = max_average_speed
-                    properties.obs["radius_e"] = eddy_radius_e
-                    properties.obs["shape_error_e"] = aerr_e
-                    properties.obs["shape_error_s"] = aerr_s
-                    properties.obs["lon"] = centlon_s
-                    properties.obs["lat"] = centlat_s
-                    properties.obs["lon_max"] = centlon_i
-                    properties.obs["lat_max"] = centlat_i
-                    (
-                        properties.obs["contour_lon_e"],
-                        properties.obs["contour_lat_e"],
-                    ) = uniform_resample(
-                        current_contour.lon,
-                        current_contour.lat,
-                        fixed_size=array_sampling,
-                    )
-                    (
-                        properties.obs["contour_lon_s"],
-                        properties.obs["contour_lat_s"],
-                    ) = uniform_resample(
-                        speed_contour.lon, speed_contour.lat, fixed_size=array_sampling
+                        obs.obs["uavg_profile"] = raw_resample(speed_array, sampling)
+                    obs.obs["amplitude"] = amp.amplitude
+                    obs.obs["radius_s"] = eddy_radius_s
+                    obs.obs["speed_average"] = max_average_speed
+                    obs.obs["radius_e"] = eddy_radius_e
+                    obs.obs["shape_error_e"] = aerr_e
+                    obs.obs["shape_error_s"] = aerr_s
+                    obs.obs["lon"] = centlon_s
+                    obs.obs["lat"] = centlat_s
+                    obs.obs["lon_max"] = centlon_i
+                    obs.obs["lat_max"] = centlat_i
+                    obs.obs["num_point_e"] = contour.lon.shape[0]
+                    xy = uniform_resample(contour.lon, contour.lat, **out_sampling)
+                    obs.obs["contour_lon_e"], obs.obs["contour_lat_e"] = xy
+                    obs.obs["num_point_s"] = speed_contour.lon.shape[0]
+                    xy = uniform_resample(
+                        speed_contour.lon, speed_contour.lat, **out_sampling
                     )
+                    obs.obs["contour_lon_s"], obs.obs["contour_lat_s"] = xy
                     if aerr > 99.9 or aerr_s > 99.9:
                         logger.warning(
                             "Strange shape at this step! shape_error : %f, %f",
@@ -833,34 +819,31 @@ def eddy_identification(
                             aerr_s,
                         )
 
-                    eddies.append(properties)
+                    eddies.append(obs)
                     # To reserve definitively the area
                     data.mask[i_x_in, i_y_in] = True
             if len(eddies) == 0:
-                eddies_collection = EddiesObservations(
+                eddies = EddiesObservations(
                     track_extra_variables=track_extra_variables,
-                    track_array_variables=array_sampling,
+                    track_array_variables=sampling,
                     array_variables=array_variables,
                 )
             else:
-                eddies_collection = EddiesObservations.concatenate(eddies)
-            eddies_collection.sign_type = 1 if anticyclonic_search else -1
-            eddies_collection.obs["time"] = (
-                date - datetime(1950, 1, 1)
-            ).total_seconds() / 86400.0
+                eddies = EddiesObservations.concatenate(eddies)
+            eddies.sign_type = 1 if anticyclonic_search else -1
+            eddies.obs["time"] = (date - datetime(1950, 1, 1)).total_seconds() / 86400.0
 
             # normalization longitude between 0 - 360, because storage have an offset on 180
-            eddies_collection.obs["lon_max"] %= 360
-            eddies_collection.obs["lon"] %= 360
-            ref = eddies_collection.obs["lon"] - 180
-            eddies_collection.obs["contour_lon_e"] = (
-                (eddies_collection.obs["contour_lon_e"].T - ref) % 360 + ref
+            eddies.obs["lon_max"] %= 360
+            eddies.obs["lon"] %= 360
+            ref = eddies.obs["lon"] - 180
+            eddies.obs["contour_lon_e"] = (
+                (eddies.obs["contour_lon_e"].T - ref) % 360 + ref
             ).T
-            eddies_collection.obs["contour_lon_s"] = (
-                (eddies_collection.obs["contour_lon_s"].T - ref) % 360 + ref
+            eddies.obs["contour_lon_s"] = (
+                (eddies.obs["contour_lon_s"].T - ref) % 360 + ref
             ).T
-
-            a_and_c.append(eddies_collection)
+            a_and_c.append(eddies)
 
         if in_h_unit is not None:
             for name in [
@@ -1120,11 +1103,11 @@ class RegularGridDataset(GridDataset):
     )
 
     def __init__(self, *args, **kwargs):
-        super(RegularGridDataset, self).__init__(*args, **kwargs)
+        super().__init__(*args, **kwargs)
         self._is_circular = None
 
     def setup_coordinates(self):
-        super(RegularGridDataset, self).setup_coordinates()
+        super().setup_coordinates()
         self.x_size = self.x_c.shape[0]
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index bf9c0804..10e58bb9 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -35,6 +35,7 @@
     linspace,
     interp,
     where,
+    zeros,
     isnan,
     bool_,
 )
@@ -50,6 +51,26 @@ def reverse_index(index, nb):
     return where(m)[0]
 
 
+@njit(cache=True)
+def build_index(groups):
+    """We expected that variable is monotonous, and return index for each step change
+    """
+    i0, i1 = groups.min(), groups.max()
+    amplitude = i1 - i0 + 1
+    # Index of first observation for each group
+    first_index = zeros(amplitude, dtype=numba_types.int_)
+    for i, group in enumerate(groups[:-1]):
+        # Get next value to compare
+        next_group = groups[i + 1]
+        # if different we need to set index
+        if group != next_group:
+            first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
+    last_index = zeros(amplitude, dtype=numba_types.int_)
+    last_index[:-1] = first_index[1:]
+    last_index[-1] = i + 2
+    return first_index, last_index, i0
+
+
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
@@ -248,14 +269,23 @@ def fit_circle(x_vec, y_vec):
 
 
 @njit(cache=True, fastmath=True)
-def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
+def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None, only_bigger=False):
     """
     Resample contours to have (nearly) equal spacing
-       x_val, y_val    : input contour coordinates
+       x_val, y_val : input contour coordinates
        num_fac : factor to increase lengths of output coordinates
     """
+    nb = x_val.shape[0]
+    if only_bigger and fixed_size is not None and nb <= fixed_size:
+        x_new = empty(fixed_size, dtype=x_val.dtype)
+        y_new = empty(fixed_size, dtype=y_val.dtype)
+        x_new[:nb] = x_val
+        y_new[:nb] = y_val
+        x_new[nb:] = x_val[-1]
+        y_new[nb:] = y_val[-1]
+        return x_new, y_new
     # Get distances
-    dist = empty(x_val.shape)
+    dist = empty(nb)
     dist[0] = 0
     dist[1:] = distance(x_val[:-1], y_val[:-1], x_val[1:], y_val[1:])
     # To be still monotonous (dist is store in m)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index ffca3153..bf226ea0 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -32,6 +32,7 @@
 from numpy import array, empty, arange, unique, bincount, uint32
 from numba import njit
 from .observation import EddiesObservations
+from .tracking import TrackEddiesObservations
 from ..poly import bbox_intersection, vertice_overlap
 
 logger = logging.getLogger("pet")
@@ -42,12 +43,12 @@ class Network:
     # To be used like a buffer
     DATA = dict()
     FLIST = list()
-    NOGROUP = 0
+    NOGROUP = TrackEddiesObservations.NOGROUP
 
     def __init__(self, input_regex, window=5, intern=False):
         self.window = window
         self.contour_name = EddiesObservations.intern(intern, public_label=True)
-        self.xname, self.yname = EddiesObservations.intern(intern,)
+        self.xname, self.yname = EddiesObservations.intern(intern)
         self.filenames = glob(input_regex)
         self.filenames.sort()
         self.nb_input = len(self.filenames)
@@ -115,63 +116,31 @@ def group_observations(self, **kwargs):
         logger.info(
             f"{(gr == self.NOGROUP).sum()} alone / {len(gr)} obs, {len(unique(gr))} groups"
         )
+        return gr
+
+    def build_dataset(self, group, keep_untracked=True):
+        nb_obs = group.shape[0]
+        model = EddiesObservations.load_file(self.filenames[-1], raw_data=True)
+        eddies = TrackEddiesObservations.new_like(model, nb_obs)
+        eddies.sign_type = model.sign_type
+        # Get new index to re-order observation by group
+        new_i = get_next_index(group)
+        display_iteration = logger.getEffectiveLevel() == logging.INFO
+        elements = eddies.elements
 
-    def save(self, output_filename):
-        new_i = get_next_index(gr)
-        nb = gr.shape[0]
-        dtype = list()
-        with Dataset(output_filename, "w") as h_out:
-            with Dataset(self.filenames[0]) as h_model:
-                for name, dim in h_model.dimensions.items():
-                    h_out.createDimension(name, len(dim) if name != "obs" else nb)
-                v = h_out.createVariable(
-                    "track", "u4", ("obs",), True, chunksizes=(min(250000, nb),)
-                )
-                d = v[:].copy()
-                d[new_i] = gr
-                v[:] = d
-                for k in h_model.ncattrs():
-                    h_out.setncattr(k, h_model.getncattr(k))
-                for name, v in h_model.variables.items():
-                    dtype.append(
-                        (
-                            name,
-                            (v.datatype, 50) if "NbSample" in v.dimensions else v.datatype,
-                        )
-                    )
-                    new_v = h_out.createVariable(
-                        name,
-                        v.datatype,
-                        v.dimensions,
-                        True,
-                        chunksizes=(min(25000, nb), 50)
-                        if "NbSample" in v.dimensions
-                        else (min(250000, nb),),
-                    )
-                    for k in v.ncattrs():
-                        if k in ("min", "max",):
-                            continue
-                        new_v.setncattr(k, v.getncattr(k))
-            data = empty(nb, dtype)
-            i = 0
-            debug_active = logger.getEffectiveLevel() == logging.DEBUG
-            for filename in self.filenames:
-                if debug_active:
-                    print(f"Load {filename} to copy", end="\r")
-                with Dataset(filename) as h_in:
-                    stop = i + len(h_in.dimensions["obs"])
-                    sl = slice(i, stop)
-                    for name, _ in dtype:
-                        v = h_in.variables[name]
-                        v.set_auto_maskandscale(False)
-                        data[name][new_i[sl]] = v[:]
-                    i = stop
-            if debug_active:
-                print()
-            for name, _ in dtype:
-                v = h_out.variables[name]
-                v.set_auto_maskandscale(False)
-                v[:] = data[name]
+        i = 0
+        for filename in self.filenames:
+            if display_iteration:
+                print(f"Load {filename} to copy", end="\r")
+            e = EddiesObservations.load_file(filename, raw_data=True)
+            stop = i + len(e)
+            sl = slice(i, stop)
+            for element in elements:
+                eddies[element][new_i[sl]] = e[element]
+            i = stop
+        if display_iteration:
+            print()
+        return eddies
 
 
 @njit(cache=True)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f850a879..644077a4 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -74,29 +74,6 @@
 logger = logging.getLogger("pet")
 
 
-@njit(cache=True, fastmath=True)
-def shifted_ellipsoid_degrees_mask(lon0, lat0, lon1, lat1, minor=1.5, major=1.5):
-    # c = (major ** 2 - minor ** 2) ** .5 + major
-    c = major
-    major = minor + 0.5 * (major - minor)
-    # r=.5*(c-c0)
-    # a=c0+r
-    # Focal
-    f_right = lon0
-    f_left = f_right - (c - minor)
-    # Ellipse center
-    x_c = (f_left + f_right) * 0.5
-
-    nb_0, nb_1 = lat0.shape[0], lat1.shape[0]
-    m = empty((nb_1, nb_0), dtype=numba_types.bool_)
-    for i in range(nb_1):
-        dy = lat1[i] - lat0
-        dx = (lon1[i] - x_c + 180) % 360 - 180
-        d_normalize = dx ** 2 / major ** 2 + dy ** 2 / minor ** 2
-        m[i] = d_normalize < 1.0
-    return m.T
-
-
 @njit(cache=True, fastmath=True)
 def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5):
     """
@@ -161,6 +138,8 @@ class EddiesObservations(object):
         "shape_error_e",
         "shape_error_s",
         "nb_contour_selected",
+        'num_point_e',
+        'num_point_s',
         "height_max_speed_contour",
         "height_external_contour",
         "height_inner_contour",
@@ -739,11 +718,10 @@ def propagate(
 
     @staticmethod
     def intern(flag, public_label=False):
-        labels = (
-            ("contour_lon_s", "contour_lat_s")
-            if flag
-            else ("contour_lon_e", "contour_lat_e")
-        )
+        if flag:
+            labels = "contour_lon_s", "contour_lat_s"
+        else:
+            labels = "contour_lon_e", "contour_lat_e"
         if public_label:
             labels = [VAR_DESCR[label]['nc_name'] for label in labels]
         return labels
@@ -1356,6 +1334,6 @@ class VirtualEddiesObservations(EddiesObservations):
 
     @property
     def elements(self):
-        elements = super(VirtualEddiesObservations, self).elements
+        elements = super().elements
         elements.extend(["track", "segment_size", "dlon", "dlat"])
         return list(set(elements))
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index cba77853..53c243b0 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -27,6 +27,7 @@
 ===========================================================================
 
 """
+import logging
 from numpy import (
     empty,
     arange,
@@ -39,12 +40,14 @@
     array,
     median,
 )
-from .. import VAR_DESCR_inv
-import logging
 from datetime import datetime, timedelta
-from .observation import EddiesObservations
 from numba import njit
-from ..generic import split_line, wrap_longitude
+from Polygon import Polygon
+from .observation import EddiesObservations
+from .. import VAR_DESCR_inv
+from ..generic import split_line, wrap_longitude, build_index
+from ..poly import polygon_overlap, create_vertice_from_2darray
+
 
 logger = logging.getLogger("pet")
 
@@ -72,8 +75,10 @@ class TrackEddiesObservations(EddiesObservations):
         "cost_association",
     ]
 
+    NOGROUP = 0
+
     def __init__(self, *args, **kwargs):
-        super(TrackEddiesObservations, self).__init__(*args, **kwargs)
+        super().__init__(*args, **kwargs)
         self.__first_index_of_track = None
         self.__obs_by_track = None
 
@@ -112,12 +117,7 @@ def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
         mask = nb_obs >= nb_min
         nb_obs_select = mask.sum()
         logger.info("Selection of %d observations", nb_obs_select)
-        eddies = TrackEddiesObservations(
-            size=nb_obs_select,
-            track_extra_variables=self.track_extra_variables,
-            track_array_variables=self.track_array_variables,
-            array_variables=self.array_variables,
-        )
+        eddies = self.__class__.new_like(self, nb_obs_select)
         eddies.sign_type = self.sign_type
         for field in self.obs.dtype.descr:
             logger.debug("Copy of field %s ...", field)
@@ -133,7 +133,7 @@ def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
 
     @property
     def elements(self):
-        elements = super(TrackEddiesObservations, self).elements
+        elements = super().elements
         elements.extend(["track", "n", "virtual"])
         return list(set(elements))
 
@@ -339,13 +339,7 @@ def __extract_with_mask(
             mask = ~self.get_mask_from_id(tracks)
 
         nb_obs = mask.sum()
-        new = TrackEddiesObservations(
-            size=nb_obs,
-            track_extra_variables=self.track_extra_variables,
-            track_array_variables=self.track_array_variables,
-            array_variables=self.array_variables,
-            raw_data=self.raw_data,
-        )
+        new = self.__class__.new_like(self, nb_obs)
         new.sign_type = self.sign_type
         if nb_obs == 0:
             logger.warning("Empty dataset will be created")
@@ -370,6 +364,130 @@ def plot(self, ax, ref=None, **kwargs):
             x, y = wrap_longitude(x, y, ref, cut=True)
         return ax.plot(x, y, **kwargs)
 
+    def split_network(self, intern=True, **kwargs):
+        """Divide each group in track
+        """
+        track_s, track_e, track_ref = build_index(self.tracks)
+        ids = empty(
+            len(self),
+            dtype=[
+                ("group", self.tracks.dtype),
+                ("time", self.time.dtype),
+                ("track", "u2"),
+                ("previous_cost", "f4"),
+                ("next_cost", "f4"),
+                ("previous_obs", "i4"),
+                ("next_obs", "i4"),
+            ],
+        )
+        ids["group"], ids["time"] = self.tracks, self.time
+        # To store id track
+        ids["track"], ids["previous_cost"], ids["next_cost"] = 0, 0, 0
+        ids["previous_obs"], ids["next_obs"] = -1, -1
+
+        xname, yname = self.intern(intern)
+        for i_s, i_e in zip(track_s, track_e):
+            if i_s == i_e or self.tracks[i_s] == self.NOGROUP:
+                continue
+            sl = slice(i_s, i_e)
+            local_ids = ids[sl]
+            self.set_tracks(self[xname][sl], self[yname][sl], local_ids, **kwargs)
+            m = local_ids["previous_obs"] == -1
+            local_ids["previous_obs"][m] += i_s
+            m = local_ids["next_obs"] == -1
+            local_ids["next_obs"][m] += i_s
+        return ids
+        # ids_sort = ids[new_i]
+        # # To be able to follow indices sorting
+        # reverse_sort = empty(new_i.shape[0], dtype="u4")
+        # reverse_sort[new_i] = arange(new_i.shape[0])
+        # # Redirect indices
+        # m = ids_sort["next_obs"] != -1
+        # ids_sort["next_obs"][m] = reverse_sort[
+        #     ids_sort["next_obs"][m]
+        # ]
+        # m = ids_sort["previous_obs"] != -1
+        # ids_sort["previous_obs"][m] = reverse_sort[
+        #     ids_sort["previous_obs"][m]
+        # ]
+        # # print(ids_sort)
+        # display_network(
+        #     x[new_i],
+        #     y[new_i],
+        #     ids_sort["track"],
+        #     ids_sort["time"],
+        #     ids_sort["next_cost"],
+        # )
+
+    def set_tracks(self, x, y, ids, window):
+        # Will split one group in tracks
+        time_index = build_index(ids["time"])
+        nb = x.shape[0]
+        used = zeros(nb, dtype="bool")
+        track_id = 1
+        # build all polygon (need to check if wrap is needed)
+        polygons = [Polygon(create_vertice_from_2darray(x, y, i)) for i in range(nb)]
+        for i in range(nb):
+            # If observation already in one track, we go to the next one
+            if used[i]:
+                continue
+            self.follow_obs(i, track_id, used, ids, polygons, *time_index, window)
+            track_id += 1
+
+    @classmethod
+    def follow_obs(cls, i_next, track_id, used, ids, *args):
+        while i_next != -1:
+            # Flag
+            used[i_next] = True
+            # Assign id
+            ids["track"][i_next] = track_id
+            # Search next
+            i_next_ = cls.next_obs(i_next, ids, *args)
+            if i_next_ == -1:
+                break
+            ids["next_obs"][i_next] = i_next_
+            # Target was previously used
+            if used[i_next_]:
+                if ids["next_cost"][i_next] == ids["previous_cost"][i_next_]:
+                    m = ids["track"][i_next_:] == ids["track"][i_next_]
+                    ids["track"][i_next_:][m] = track_id
+                    ids["previous_obs"][i_next_] = i_next
+                i_next_ = -1
+            else:
+                ids["previous_obs"][i_next_] = i_next
+            i_next = i_next_
+
+    @staticmethod
+    def next_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
+        time_max = time_e.shape[0] - 1
+        time_cur = ids["time"][i_current]
+        t0, t1 = time_cur + 1 - time_ref, min(time_cur + window - time_ref, time_max)
+        if t0 > time_max:
+            return -1
+        for t_step in range(t0, t1 + 1):
+            i0, i1 = time_s[t_step], time_e[t_step]
+            # No observation at the time step
+            if i0 == i1:
+                continue
+            # Intersection / union, to be able to separte in case of multiple inside
+            c = polygon_overlap(polygons[i_current], polygons[i0:i1])
+            # We remove low overlap
+            c[c < 0.1] = 0
+            # We get index of maximal overlap
+            i = c.argmax()
+            c_i = c[i]
+            # No overlap found
+            if c_i == 0:
+                continue
+            target = i0 + i
+            # Check if candidate is already used
+            c_target = ids["previous_cost"][target]
+            if (c_target != 0 and c_target < c_i) or c_target == 0:
+                ids["previous_cost"][target] = c_i
+            ids["next_cost"][i_current] = c_i
+            return target
+        return -1
+
 
 @njit(cache=True)
 def compute_index(tracks, index, number):
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 50bc691d..4aa7e5e8 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -166,12 +166,12 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
     x0_, x1_ = x0[i], x1[i]
     if abs(x0_[0] - x1_[0]) > 180:
         ref = x0_[0] - x0.dtype.type(180)
-        x1_ = (x1[i] - ref) % 360 + ref
+        x1_ = (x1_ - ref) % 360 + ref
     return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
 
 
 def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
-    nb, _ = x0.shape
+    nb = x0.shape[0]
     cost = empty(nb)
     for i in range(nb):
         # Get wrapped vertice for index i
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 15e83a98..b0d78191 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -61,7 +61,7 @@ class Correspondances(list):
     def __init__(self, datasets, virtual=0, class_method=None, previous_correspondance=None):
         """Initiate tracking
         """
-        super(Correspondances, self).__init__()
+        super().__init__()
         # Correspondance dtype
         self.correspondance_dtype = [('in', 'u2'),
                                      ('out', 'u2'),
@@ -245,7 +245,7 @@ def store_correspondance(self, i_previous, i_current, nb_real_obs, association_c
 
     def append(self, *args, **kwargs):
         self.nb_link_max = max(self.nb_link_max, len(args[0]))
-        super(Correspondances, self).append(*args, **kwargs)
+        super().append(*args, **kwargs)
 
     def id_generator(self, nb_id):
         """Generation id and incrementation
diff --git a/src/scripts/EddyId b/src/scripts/EddyId
deleted file mode 100644
index 6b0726f3..00000000
--- a/src/scripts/EddyId
+++ /dev/null
@@ -1,64 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-Do identification
-"""
-from datetime import datetime
-from netCDF4 import Dataset
-from py_eddy_tracker import EddyParser
-from py_eddy_tracker.dataset.grid import RegularGridDataset, UnRegularGridDataset
-import zarr
-
-def id_parser():
-    parser = EddyParser('Eddy Identification')
-    parser.add_argument('filename')
-    parser.add_argument('datetime')
-    parser.add_argument('h')
-    parser.add_argument('u', help='If it s None, it will be deduce from h')
-    parser.add_argument('v', help='If it s None, it will be deduce from h')
-    parser.add_argument('longitude')
-    parser.add_argument('latitude')
-    parser.add_argument('path_out')
-    parser.add_argument('--cut_wavelength', default=500, type=float,
-                        help='Wavelength for mesoscale filter in km')
-    parser.add_argument('--filter_order', default=3, type=int)
-    parser.add_argument('--isoline_step', default=0.002, type=float,
-                        help='Step between 2 isoline in m')
-    parser.add_argument('--fit_errmax', default=55, type=float,
-                        help='Error max accepted to fit circle in percent')
-    parser.add_argument('--height_unit', default=None, type=str,
-                        help='Force height unit')
-    parser.add_argument('--speed_unit', default=None, type=str,
-                        help='Force speed unit')
-    parser.add_argument('--unregular', action='store_true', help='if grid is unregular')
-    parser.add_argument('--zarr',
-                        action='store_true',
-                        help='Output will be wrote in zarr')
-    return parser
-
-
-if __name__ == '__main__':
-    args = id_parser().parse_args()
-    grid_class = (UnRegularGridDataset if args.unregular else RegularGridDataset)
-    h = grid_class(args.filename, args.longitude, args.latitude)
-    date = datetime.strptime(args.datetime, '%Y%m%d')
-    if args.u == 'None' and args.v == 'None':
-        h.add_uv(args.h)
-        u, v = 'u', 'v'
-    else:
-        u, v = args.u, args.v
-    if args.cut_wavelength != 0:
-        h.bessel_high_filter(args.h, args.cut_wavelength, order=args.filter_order)
-    a, c = h.eddy_identification(args.h, u, v, date, args.isoline_step, pixel_limit=(5, 2000),
-                                 shape_error=args.fit_errmax, force_height_unit=args.height_unit,
-                                 force_speed_unit=args.speed_unit)
-    if args.zarr:
-        h = zarr.open(args.path_out + date.strftime('/Anticyclonic_%Y%m%d.zarr'), 'w')
-        a.to_zarr(h)
-        h = zarr.open(args.path_out + date.strftime('/Cyclonic_%Y%m%d.zarr'), 'w')
-        c.to_zarr(h)
-    else:
-        with Dataset(args.path_out + date.strftime('/Anticyclonic_%Y%m%d.nc'), 'w') as h:
-            a.to_netcdf(h)
-        with Dataset(args.path_out + date.strftime('/Cyclonic_%Y%m%d.nc'), 'w') as h:
-            c.to_netcdf(h)
diff --git a/src/scripts/GridFiltering b/src/scripts/GridFiltering
deleted file mode 100644
index 57d8743b..00000000
--- a/src/scripts/GridFiltering
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-Do grid filtering
-"""
-from py_eddy_tracker import EddyParser
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-
-
-def id_parser():
-    parser = EddyParser('Eddy Identification')
-    parser.add_argument('filename')
-    parser.add_argument('grid')
-    parser.add_argument('longitude')
-    parser.add_argument('latitude')
-    parser.add_argument('filename_out')
-    parser.add_argument('--cut_wavelength', default=500, type=float,
-                        help='Wavelength for mesoscale filter in km')
-    parser.add_argument('--filter_order', default=3, type=int)
-    parser.add_argument('--low', action='store_true')
-    parser.add_argument('--extend', default=0, type=float,
-                        help='Keep pixel compute by filtering on mask')
-    return parser
-
-
-if __name__ == '__main__':
-    args = id_parser().parse_args()
-
-    h = RegularGridDataset(args.filename, args.longitude, args.latitude)
-    if args.low:
-        h.bessel_low_filter(args.grid, args.cut_wavelength, order=args.filter_order, extend=args.extend)
-    else:
-        h.bessel_high_filter(args.grid, args.cut_wavelength, order=args.filter_order, extend=args.extend)
-    h.write(args.filename_out)
diff --git a/src/scripts/ZarrDump b/src/scripts/ZarrDump
deleted file mode 100644
index 6d7d8a29..00000000
--- a/src/scripts/ZarrDump
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-import argparse
-import zarr
-
-def zarr_header_parser():
-    parser = argparse.ArgumentParser('Zarr header')
-    parser.add_argument('dataset')
-    return parser
-
-if __name__ == '__main__':
-    args = zarr_header_parser().parse_args()
-    print(args.dataset)
-    for v in zarr.open(args.dataset).values():
-        print(v.info)

From f122dbd10dd23bfba7ae275256d66daa49795818 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 16 Aug 2020 15:05:43 +0200
Subject: [PATCH 074/441] remove only_bigger for numba compilation problem

---
 src/py_eddy_tracker/dataset/grid.py |  2 +-
 src/py_eddy_tracker/generic.py      | 10 +---------
 2 files changed, 2 insertions(+), 10 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 3f8b6dd7..d6af360a 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -635,7 +635,7 @@ def eddy_identification(
         # Compute ssh contour
         self.contours = Contours(x, y, data, levels, wrap_x=self.is_circular())
 
-        out_sampling = dict(fixed_size=sampling, only_bigger=False)
+        out_sampling = dict(fixed_size=sampling)
         track_extra_variables = [
             "height_max_speed_contour",
             "height_external_contour",
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 10e58bb9..800a3f9f 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -269,21 +269,13 @@ def fit_circle(x_vec, y_vec):
 
 
 @njit(cache=True, fastmath=True)
-def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None, only_bigger=False):
+def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     """
     Resample contours to have (nearly) equal spacing
        x_val, y_val : input contour coordinates
        num_fac : factor to increase lengths of output coordinates
     """
     nb = x_val.shape[0]
-    if only_bigger and fixed_size is not None and nb <= fixed_size:
-        x_new = empty(fixed_size, dtype=x_val.dtype)
-        y_new = empty(fixed_size, dtype=y_val.dtype)
-        x_new[:nb] = x_val
-        y_new[:nb] = y_val
-        x_new[nb:] = x_val[-1]
-        y_new[nb:] = y_val[-1]
-        return x_new, y_new
     # Get distances
     dist = empty(nb)
     dist[0] = 0

From 959dcf856dd27ee846c2854d7933986af6e3c537 Mon Sep 17 00:00:00 2001
From: "A.delep" <delepoulle.a@gmail.com>
Date: Sun, 16 Aug 2020 15:20:46 +0200
Subject: [PATCH 075/441] add variable to tracking dataset

---
 src/py_eddy_tracker/observations/observation.py | 8 ++++----
 src/py_eddy_tracker/observations/tracking.py    | 2 ++
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 644077a4..f47ccdfa 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -67,7 +67,7 @@
     flatten_line_matrix,
     wrap_longitude,
     local_to_coordinates,
-    reverse_index
+    reverse_index,
 )
 from ..poly import bbox_intersection, vertice_overlap, create_vertice
 
@@ -138,8 +138,8 @@ class EddiesObservations(object):
         "shape_error_e",
         "shape_error_s",
         "nb_contour_selected",
-        'num_point_e',
-        'num_point_s',
+        "num_point_e",
+        "num_point_s",
         "height_max_speed_contour",
         "height_external_contour",
         "height_inner_contour",
@@ -723,7 +723,7 @@ def intern(flag, public_label=False):
         else:
             labels = "contour_lon_e", "contour_lat_e"
         if public_label:
-            labels = [VAR_DESCR[label]['nc_name'] for label in labels]
+            labels = [VAR_DESCR[label]["nc_name"] for label in labels]
         return labels
 
     def match(self, other, intern=False, cmin=0):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 53c243b0..05098cd0 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -69,6 +69,8 @@ class TrackEddiesObservations(EddiesObservations):
         "shape_error_e",
         "shape_error_s",
         "nb_contour_selected",
+        "num_point_e",
+        "num_point_s",
         "height_max_speed_contour",
         "height_external_contour",
         "height_inner_contour",

From 004f8454a632856aefe8fb38965f0596d9495839 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Thu, 3 Sep 2020 11:32:45 +0200
Subject: [PATCH 076/441] Changes in the netcdf description Nobs in titles is
 optional

---
 src/py_eddy_tracker/__init__.py               | 143 ++++++++----------
 .../observations/observation.py               |   4 +-
 2 files changed, 68 insertions(+), 79 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 4f14c7d6..c3345e6a 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -103,8 +103,8 @@ def parse_args(self, *args, **kwargs):
             units="days since 1950-01-01 00:00:00",
             calendar="proleptic_gregorian",
             axis="T",
-            longname="Time",
-            description="Date of this observation",
+            long_name="Time",
+            comment="Date of this observation",
         ),
     ),
     type_cyc=dict(
@@ -114,9 +114,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="byte",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="cyclonic",
-            units="boolean",
-            description="Cyclonic -1; anti-cyclonic +1",
+            long_name="Rotating sense of the eddy",
+            comment="Cyclonic -1; Anti-cyclonic +1",
         ),
     ),
     segment_size=dict(
@@ -147,10 +146,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="byte",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="virtual_position",
-            units="boolean",
-            description="Flag indicating if the value is interpolated between two"
-            " observations or not (0: observed, 1: interpolated)",
+            long_name="Virtual Eddy Position",
+            comment="Flag indicating if the value is interpolated between two"
+            " observations or not (0: observed eddy, 1: interpolated eddy)",
         ),
     ),
     cost_association=dict(
@@ -159,8 +157,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="float32",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="cost_value_to_associate_with_next_observation",
-            description="Cost value to associate with the next observation",
+            long_name="Cost association between two eddies",
+            comment="Cost value to associate one eddy with the next observation",
         ),
     ),
     lon=dict(
@@ -173,8 +171,8 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_east",
             axis="X",
-            description="Observation longitude",
-            longname="longitude of measurement",
+            comment="Longitude center of the fitted circle",
+            long_name="Eddy Center Longitude",
             standard_name="longitude",
         ),
     ),
@@ -188,9 +186,9 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_north",
             axis="Y",
-            longname="latitude of measurement",
+            long_name="Eddy Center Latitude",
             standard_name="latitude",
-            description="Observation latitude",
+            comment="Latitude center of the fitted circle",
         ),
     ),
     lon_max=dict(
@@ -203,8 +201,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_east",
             axis="X",
-            description="Observation longitude",
-            longname="longitude of amplitude max",
+            long_name="Longitude of the SSH maximum",
             standard_name="longitude",
         ),
     ),
@@ -218,8 +215,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_north",
             axis="Y",
-            description="Observation latitude",
-            longname="latitude of amplitude max",
+            long_name="Latitude of the SSH maximum",
             standard_name="latitude",
         ),
     ),
@@ -232,10 +228,10 @@ def parse_args(self, *args, **kwargs):
         scale_factor=0.001,
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="amplitude",
+            long_name="Amplitude",
             units="m",
-            description="Magnitude of the height difference between the extremum of ADT within "
-            "the eddy and the ADT around the contour defining the eddy perimeter",
+            comment="Magnitude of the height difference between the extremum of SSH within "
+            "the eddy and the SSH around the effective contour defining the eddy edge",
         ),
     ),
     speed_average=dict(
@@ -247,9 +243,9 @@ def parse_args(self, *args, **kwargs):
         output_type="uint16",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="maximum circum-averaged speed",
+            long_name="Maximum circum-averaged Speed",
             units="m/s",
-            description="Average speed of the contour defining the radius scale “speed_radius”",
+            comment="Average speed of the contour defining the radius scale “speed_radius”",
         ),
     ),
     uavg_profile=dict(
@@ -261,9 +257,9 @@ def parse_args(self, *args, **kwargs):
         # filters=[zarr.Delta('u2')],
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname="radial profile of uavg",
+            long_name="Radial Speed Profile",
             units="m/s",
-            description="Speed average values from effective contour inwards to smallest inner contour",
+            comment="Speed average values from effective contour inwards to smallest contour, evenly spaced points",
         ),
     ),
     i=dict(
@@ -272,8 +268,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint16",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="longitude index in the grid of the detection",
-            description="Longitude index in the grid of the detection",
+            long_name="Longitude index in the grid of the detection",
         ),
     ),
     j=dict(
@@ -282,8 +277,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint16",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="latitude index in the grid of the detection",
-            description="Latitude index in the grid of the detection",
+            long_name="Latitude index in the grid of the detection",
         ),
     ),
     eke=dict(
@@ -292,10 +286,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="float32",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="sum EKE within contour Ceff",
+            long_name="EKE",
             units="m^2/s^2",
-            description="Sum of eddy kinetic energy within contour "
-            "defining the effective radius",
+            comment="Sum of Eddy Kinetic Energy within the effective contour",
         ),
     ),
     radius_e=dict(
@@ -307,9 +300,9 @@ def parse_args(self, *args, **kwargs):
         scale_factor=50.0,
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="effective radius scale",
+            long_name="Effective Radius",
             units="m",
-            description="Radius of a circle whose area is equal to that enclosed by the effective contour",
+            comment="Radius of a circle whose area is equal to that enclosed by the effective contour",
         ),
     ),
     radius_s=dict(
@@ -321,9 +314,9 @@ def parse_args(self, *args, **kwargs):
         scale_factor=50.0,
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="speed radius scale",
+            long_name="Speed Radius",
             units="m",
-            description="Radius of a circle whose area is equal to that \
+            comment="Radius of a circle whose area is equal to that \
                 enclosed by the contour of maximum circum-average speed",
         ),
     ),
@@ -334,9 +327,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="track number",
-            units="ordinal",
-            description="Eddy identification number",
+            long_name="Trajectory number",
+            comment="Trajectory identification number",
         ),
     ),
     sub_track=dict(
@@ -345,9 +337,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="segment_number",
-            units="ordinal",
-            description="segment number inside a group",
+            long_name="Segment Number",
+            comment="Segment number inside a group",
         ),
     ),
     n=dict(
@@ -357,9 +348,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint16",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="observation number",
-            units="ordinal",
-            description="Observation sequence number, days from eddy first detection",
+            long_name="Eddy temporal index in a trajectory",
+            comment="Observation sequence number, days starting at the eddy first detection",
         ),
     ),
     contour_lon_e=dict(
@@ -373,8 +363,8 @@ def parse_args(self, *args, **kwargs):
         add_offset=180,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname="effective contour longitudes",
-            description="Longitudes of effective contour",
+            long_name="Effective Contour Longitudes",
+            comment="Longitudes of the effective contour",
             units="degrees_east",
             axis="X",
         ),
@@ -389,8 +379,8 @@ def parse_args(self, *args, **kwargs):
         scale_factor=numpy.float32(0.01),
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname="effective contour latitudes",
-            description="Latitudes of effective contour",
+            long_name="Effective Contour Latitudes",
+            comment="Latitudes of effective contour",
             units="degrees_east",
             axis="X",
         ),
@@ -406,8 +396,8 @@ def parse_args(self, *args, **kwargs):
         add_offset=180,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname="speed contour longitudes",
-            description="Longitudes of speed contour",
+            long_name="Speed Contour Longitudes",
+            comment="Longitudes of speed contour",
             units="degrees_east",
             axis="X",
         ),
@@ -422,8 +412,8 @@ def parse_args(self, *args, **kwargs):
         scale_factor=numpy.float32(0.01),
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
-            longname="speed contour latitudes",
-            description="Latitudes of speed contour",
+            long_name="Speed Contour Latitudes",
+            comment="Latitudes of speed contour",
             units="degrees_east",
             axis="X",
         ),
@@ -438,8 +428,8 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(
             units="%",
-            description="Error criterion of fit on effective contour",
-            longname="effective contour error",
+            comment="Error criterion between the effective contour and its fit with the circle of same effective radius",
+            long_name="Effective Contour Error",
         ),
     ),
     score=dict(
@@ -449,7 +439,7 @@ def parse_args(self, *args, **kwargs):
         output_type="u1",
         scale_factor=0.4,
         nc_dims=("obs",),
-        nc_attr=dict(units="%", description="score", longname="score",),
+        nc_attr=dict(units="%", comment="score", long_name="Score",),
     ),
     index_other=dict(
         attr_name=None,
@@ -457,9 +447,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="u4",
         nc_dims=("obs",),
         nc_attr=dict(
-            units="ordinal",
-            description="index in the other dataset",
-            longname="index_other",
+            # units="ordinal",
+            comment="Corresponding index in the other dataset in score computation",
+            long_name="Index in the other dataset",
         ),
     ),
     shape_error_s=dict(
@@ -472,8 +462,8 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(
             units="%",
-            description="Error criterion of fit on speed contour",
-            longname="speed contour error",
+            comment="Error criterion between the speed contour and its fit with the circle of same speed radius",
+            long_name="Speed Contour Error",
         ),
     ),
     height_max_speed_contour=dict(
@@ -483,8 +473,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="speed contour height",
-            description="ADT filtered height for speed contour",
+            long_name="Speed Contour Height",
+            comment="SSH filtered height for speed contour",
             units="m",
         ),
     ),
@@ -495,8 +485,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="effective contour height",
-            description="ADT filtered height for effective contour",
+            long_name="Effective Contour Height",
+            comment="SSH filtered height for effective contour",
             units="m",
         ),
     ),
@@ -507,8 +497,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="inner contour height",
-            description="ADT filtered height for inner contour",
+            long_name="Inner Contour Height",
+            comment="SSH filtered height for the smallest detected contour",
             units="m",
         ),
     ),
@@ -518,7 +508,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Chl"],
         nc_type="f4",
         nc_dims=("obs",),
-        nc_attr=dict(longname="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
+        nc_attr=dict(long_name="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
     ),
     dchl=dict(
         attr_name=None,
@@ -527,7 +517,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="Log base 10 chlorophyll anomaly (Chl minus Chl_bg)",
+            long_name="Log base 10 chlorophyll anomaly (Chl minus Chl_bg)",
             units="Log(Chl/[mg/m^3])",
         ),
     ),
@@ -538,7 +528,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
@@ -547,7 +537,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Year"],
         nc_type="u2",
         nc_dims=("obs",),
-        nc_attr=dict(longname="Year", units="year",),
+        nc_attr=dict(long_name="Year", units="year",),
     ),
     month=dict(
         attr_name=None,
@@ -555,7 +545,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Month"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(longname="Month", units="month",),
+        nc_attr=dict(long_name="Month", units="month",),
     ),
     day=dict(
         attr_name=None,
@@ -563,7 +553,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Day"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(longname="Day", units="day",),
+        nc_attr=dict(long_name="Day", units="day",),
     ),
     nb_contour_selected=dict(
         attr_name=None,
@@ -572,9 +562,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="u2",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="number of contour",
-            units="ordinal",
-            description="Number of contour selected for this eddy",
+            long_name="Number of contours",
+            comment="Number of contours selected for this eddy",
         ),
     ),
 )
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index feb25fad..c34cf456 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1278,14 +1278,14 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
 
-    def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
+    def display(self, ax, ref=None, extern_only=False, intern_only=False, nobs=False, **kwargs):
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
             lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
         if not intern_only:
             lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
             lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
-        if "label" in kwargs:
+        if nobs and "label" in kwargs:
             kwargs["label"] += " (%s observations)" % len(self)
         kwargs_e = kwargs.copy()
         if not extern_only:

From 2e733040a42738b416e9b015bf65d57bbb4efa74 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Thu, 3 Sep 2020 12:15:02 +0200
Subject: [PATCH 077/441] minor fix + cosmetic

---
 doc/conf.py                                          | 2 +-
 examples/02_eddy_identification/pet_shape_gallery.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 898f0a10..b14a8941 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -41,7 +41,7 @@
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "python_module",
-    "capture_repr": ("_repr_html_"),
+    "capture_repr": ("_repr_html_",),
     "line_numbers": False,
     "filename_pattern": "/pet",
     "binder": {
diff --git a/examples/02_eddy_identification/pet_shape_gallery.py b/examples/02_eddy_identification/pet_shape_gallery.py
index a7783b67..cc8d2242 100644
--- a/examples/02_eddy_identification/pet_shape_gallery.py
+++ b/examples/02_eddy_identification/pet_shape_gallery.py
@@ -14,7 +14,7 @@
 
 
 # %%
-# Method to compute circle path
+# Method to built circle from center coordinates
 def build_circle(x0, y0, r):
     angle = radians(linspace(0, 360, 50))
     x_norm, y_norm = cos(angle), sin(angle)

From d570afe962fd6db0aaf1bc95d926000488764cd2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 9 Sep 2020 09:24:24 +0200
Subject: [PATCH 078/441] default: number display

---
 src/py_eddy_tracker/observations/observation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 40e6d864..2ece3ffa 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1256,7 +1256,7 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
 
-    def display(self, ax, ref=None, extern_only=False, intern_only=False, nobs=False, **kwargs):
+    def display(self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs):
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
             lat_s = flatten_line_matrix(self.obs["contour_lat_s"])

From a458867c18546b15c249799546aa76a9de070dc9 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 9 Sep 2020 09:24:42 +0200
Subject: [PATCH 079/441] add theme in requirement

---
 requirements_doc.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/requirements_doc.txt b/requirements_doc.txt
index 2c719347..4f07fe28 100644
--- a/requirements_doc.txt
+++ b/requirements_doc.txt
@@ -11,4 +11,5 @@ scipy
 zarr
 # doc
 sphinx-gallery
-pyeddytrackersample
\ No newline at end of file
+pyeddytrackersample
+sphinx_rtd_theme
\ No newline at end of file

From 0963225f7a755d5447958117104f0f728d0a53a0 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 9 Sep 2020 11:18:52 +0200
Subject: [PATCH 080/441] Update tracking.yaml

remove old parameter
---
 share/tracking.yaml | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/share/tracking.yaml b/share/tracking.yaml
index 9fd62c0f..0f8766b8 100644
--- a/share/tracking.yaml
+++ b/share/tracking.yaml
@@ -1,14 +1,6 @@
-# Two diagnostics, based on SLA (e.g., Chelton et al, 2011)
-# or the Q-parameter (e.g., Kurian et al, 2011) are available
-DIAGNOSTIC_TYPE: 'SLA'
-
 PATHS:
   # Files produces with EddyIdentification
   FILES_PATTERN: /home/emason/toto/Anticyclonic_*.nc
-  # Path and filename of Chelton et al (1998) Rossby radius data
-  # Obtain file from:
-  # http://www-po.coas.oregonstate.edu/research/po/research/rossby_radius/
-  RW_PATH: '/home/emason/Dropbox/rossrad.dat'
   # Path for saving of outputs
   SAVE_DIR: '/home/emason/toto/'
 

From 22158f509503e12378511be429760d8c5d018e4d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 09:40:25 +0200
Subject: [PATCH 081/441] In network keep always untracked data under group "0"

---
 src/py_eddy_tracker/appli/network.py        | 7 +------
 src/py_eddy_tracker/observations/network.py | 4 +++-
 2 files changed, 4 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 0c39252f..191fc65d 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -48,16 +48,11 @@ def build_network():
         action="store_true",
         help="Use intern contour instead of outter contour",
     )
-    parser.add_argument(
-        "--keep_untracked",
-        action="store_true",
-        help=f"Store untracked observation with group number {Network.NOGROUP}",
-    )
     args = parser.parse_args()
 
     n = Network(args.identification_regex, window=args.window, intern=args.intern)
     group = n.group_observations(minimal_area=True)
-    n.build_dataset(group, args.keep_untracked).write_file(filename=args.out)
+    n.build_dataset(group).write_file(filename=args.out)
 
 
 def divide_network():
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index bf226ea0..96009220 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -118,7 +118,7 @@ def group_observations(self, **kwargs):
         )
         return gr
 
-    def build_dataset(self, group, keep_untracked=True):
+    def build_dataset(self, group):
         nb_obs = group.shape[0]
         model = EddiesObservations.load_file(self.filenames[-1], raw_data=True)
         eddies = TrackEddiesObservations.new_like(model, nb_obs)
@@ -140,6 +140,8 @@ def build_dataset(self, group, keep_untracked=True):
             i = stop
         if display_iteration:
             print()
+        eddies = eddies.add_fields(('track',))
+        eddies.obs['track'][new_i] = group
         return eddies
 
 

From 4393c79f5e11ed308ddc32f412ad756ea2ead34b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 09:40:50 +0200
Subject: [PATCH 082/441] Set minimal overlap to track at 20%

---
 src/py_eddy_tracker/featured_tracking/area_tracker.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index 7a7bb36a..8a1cfcdc 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -11,7 +11,7 @@ def tracking(self, other):
         i, j, c = self.match(other, intern=False)
         cost_mat = ma.empty(shape, dtype="f4")
         cost_mat.mask = ma.ones(shape, dtype="bool")
-        m = c > 0
+        m = c > .2
         i, j, c = i[m], j[m], c[m]
         cost_mat[i, j] = 1 - c
 

From 1ba589b1a4d79542012f68c43a0e9d58f8902d9e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 11:54:02 +0200
Subject: [PATCH 083/441] Manipulation of coordinates to set eddies in window

---
 src/py_eddy_tracker/observations/observation.py | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 2ece3ffa..f764ca87 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1256,7 +1256,9 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
 
-    def display(self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs):
+    def display(
+        self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
+    ):
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
             lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
@@ -1287,14 +1289,23 @@ def grid_count(self, bins, intern=False, center=False):
 
         regular_grid = RegularGridDataset.with_array(
             coordinates=("lon", "lat"),
-            datas=dict(count=grid, lon=x_bins[:-1], lat=y_bins[:-1],),
+            datas=dict(
+                count=grid,
+                lon=(x_bins[1:] + x_bins[:-1]) / 2,
+                lat=(y_bins[1:] + y_bins[:-1]) / 2,
+            ),
+            variables_description=dict(
+                count=dict(long_name="Number of times pixel is in eddies")
+            ),
+            centered=True,
         )
         if center:
             x, y = (self.longitude - x0) % 360 + x0, self.latitude
             grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
             grid.mask = grid.data == 0
         else:
-            x, y = (self[x_name] - x0) % 360 + x0, self[y_name]
+            x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
+            x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             for x_, y_ in zip(x, y):
                 i, j = BasePath(create_vertice(x_, y_)).pixels_in(regular_grid)
                 grid_count_(grid, i, j)

From 19d4404e175e9ca3388bec06eccef090984e5579 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 11:54:27 +0200
Subject: [PATCH 084/441] fill object to be able to produce a netcdf file

---
 src/py_eddy_tracker/dataset/grid.py | 20 +++++++++++++++++---
 1 file changed, 17 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d6af360a..e4522a35 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -293,7 +293,7 @@ def __init__(
         self.interpolators = dict()
         if centered is None:
             logger.warning(
-                "We assume the position of grid is the center corner for %s", filename,
+                "We assume pixel position of grid is center for %s", filename,
             )
         if not unset:
             self.load_general_features()
@@ -1062,6 +1062,7 @@ def _low_filter(self, grid_name, w_cut, factor=8.0):
                 self.coordinates[0]: x_array[:-1],
                 self.coordinates[1]: y_array[:-1],
             },
+            centered=False,
         )
         regular_grid.bessel_low_filter(grid_name, w_cut, order=1)
         z_filtered = regular_grid.grid(grid_name)
@@ -1113,13 +1114,26 @@ def setup_coordinates(self):
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 
     @classmethod
-    def with_array(cls, coordinates, datas):
+    def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
         x_name, y_name = coordinates[0], coordinates[1]
-        obj = cls("array", x_name, y_name, unset=True, centered=False)
+        obj = cls("array", x_name, y_name, unset=True, **kwargs)
         obj.x_dim = (x_name,)
         obj.y_dim = (y_name,)
+        obj.variables_description = dict()
+        obj.dimensions = {i: v.shape[0] for i, v in datas.items() if i in coordinates}
         for k, v in datas.items():
             obj.vars[k] = v
+            obj.variables_description[k] = dict(
+                attrs=variables_description.get(k, dict()),
+                args=(k, v.dtype),
+                kwargs=dict(
+                    dimensions=coordinates if k not in coordinates else (k,),
+                    complevel=1,
+                    zlib=True,
+                ),
+                infos=dict(),
+            )
+        obj.global_attrs = dict(history="Grid setup with an array")
         obj.setup_coordinates()
         return obj
 

From 82212a59f2a0dc07f94fa533d9c4314e441b964d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 11:55:10 +0200
Subject: [PATCH 085/441] Change colormap to be coherent with classic eddies
 colors

---
 examples/10_tracking_diagnostics/pet_center_count.py | 2 +-
 examples/10_tracking_diagnostics/pet_pixel_used.py   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 417f91d7..cdc8189c 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -58,7 +58,7 @@
 cb.set_label("Eddies by 1°^2 by day")
 
 g_c.vars["count"] = ratio
-m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm())
+m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')
 plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))
 
 for ax in (ax_a, ax_c, ax_all, ax_ratio):
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index a54a0efb..f08c41e4 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -54,7 +54,7 @@
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))
 
 g_c.vars["count"] = ratio
-m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm())
+m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))
 
 for ax in (ax_a, ax_c, ax_all, ax_ratio):

From 0b64a4d73e89f915683a5e0dd8f2f46b4890d9a2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 10 Sep 2020 12:14:36 +0200
Subject: [PATCH 086/441] manage case when argument is not defined

---
 src/py_eddy_tracker/dataset/grid.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index e4522a35..3aad1573 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1115,6 +1115,7 @@ def setup_coordinates(self):
 
     @classmethod
     def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
+        vd = dict() if variables_description is None else variables_description
         x_name, y_name = coordinates[0], coordinates[1]
         obj = cls("array", x_name, y_name, unset=True, **kwargs)
         obj.x_dim = (x_name,)
@@ -1124,7 +1125,7 @@ def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
         for k, v in datas.items():
             obj.vars[k] = v
             obj.variables_description[k] = dict(
-                attrs=variables_description.get(k, dict()),
+                attrs=vd.get(k, dict()),
                 args=(k, v.dtype),
                 kwargs=dict(
                     dimensions=coordinates if k not in coordinates else (k,),

From 1fbe6220e0dedc92e7e5d39d950866e82d21fe14 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 14 Sep 2020 15:36:25 +0200
Subject: [PATCH 087/441] update use of match function

---
 .../02_eddy_identification/pet_filter_and_detection.py    | 2 +-
 examples/02_eddy_identification/pet_sla_and_adt.py        | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 1e4f9270..a329d603 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -82,7 +82,7 @@ def update_axes(ax, mappable=None):
 # Match detection and compare
 # ---------------------------
 
-i_, j_, c = merge_f.match(merge_r, 0.1)
+i_, j_, c = merge_f.match(merge_r, cmin=0.1)
 
 # %%
 # where is lonely eddies
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index 68a47eec..7d8fb288 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -89,8 +89,8 @@ def update_axes(ax, mappable=None):
 # Match
 # -----------------------
 # Where cyclone meet anticyclone
-i_c_adt, i_a_sla, c = c_adt.match(a_sla, 0.1)
-i_a_adt, i_c_sla, c = a_adt.match(c_sla, 0.1)
+i_c_adt, i_a_sla, c = c_adt.match(a_sla, cmin=0.01)
+i_a_adt, i_c_sla, c = a_adt.match(c_sla, cmin=0.01)
 
 ax = start_axes("Cyclone share area with anticyclone")
 a_adt.index(i_a_adt).display(ax, **kwargs_a_adt)
@@ -104,8 +104,8 @@ def update_axes(ax, mappable=None):
 # %%
 # Scatter plot
 # ------------
-i_a_adt, i_a_sla, c = a_adt.match(a_sla, 0.1)
-i_c_adt, i_c_sla, c = c_adt.match(c_sla, 0.1)
+i_a_adt, i_a_sla, c = a_adt.match(a_sla, cmin=0.1)
+i_c_adt, i_c_sla, c = c_adt.match(c_sla, cmin=0.1)
 
 # %%
 # where is lonely eddies

From 932eeaa5c3d855a85ce475e71c551d2a4dc78cc4 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 14 Sep 2020 15:36:55 +0200
Subject: [PATCH 088/441] Add a fonction to try to fit circle with equal area

---
 src/py_eddy_tracker/dataset/grid.py | 37 +++++++++++++++++++++++------
 src/py_eddy_tracker/poly.py         |  9 +++++++
 2 files changed, 39 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 3aad1573..033f94f2 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -61,6 +61,7 @@
     winding_number_grid_in_poly,
     winding_number_poly,
     create_vertice,
+    poly_area,
 )
 
 logger = logging.getLogger("pet")
@@ -126,10 +127,32 @@ def mean_on_regular_contour(
         return values.mean()
 
 
-def fit_circle_path(self):
+def fit_circle_path(self, method="fit"):
     if not hasattr(self, "_circle_params"):
-        self._circle_params = _fit_circle_path(self.vertices)
-    return self._circle_params
+        self._circle_params = dict()
+    if method not in self._circle_params.keys():
+        if method == "fit":
+            self._circle_params["fit"] = _fit_circle_path(self.vertices)
+        if method == "equal_area":
+            self._circle_params["equal_area"] = _circle_from_equal_area(self.vertices)
+    return self._circle_params[method]
+
+
+@njit(cache=True, fastmath=True)
+def _circle_from_equal_area(vertice):
+    lons, lats = vertice[:, 0], vertice[:, 1]
+    # last coordinates == first
+    lon0, lat0 = lons[1:].mean(), lats[1:].mean()
+    c_x, c_y = coordinates_to_local(lons, lats, lon0, lat0)
+    # Some time, edge is only a dot of few coordinates
+    d_lon = lons.max() - lons.min()
+    d_lat = lats.max() - lats.min()
+    if d_lon < 1e-7 and d_lat < 1e-7:
+        # logger.warning('An edge is only define in one position')
+        # logger.debug('%d coordinates %s,%s', len(lons),lons,
+        # lats)
+        return 0, -90, nan, nan
+    return lon0, lat0, (poly_area(create_vertice(c_x, c_y)) / pi) ** 0.5, nan
 
 
 @njit(cache=True, fastmath=True)
@@ -146,10 +169,10 @@ def _fit_circle_path(vertice):
         # logger.debug('%d coordinates %s,%s', len(lons),lons,
         # lats)
         return 0, -90, nan, nan
-    centlon_e, centlat_e, eddy_radius_e, aerr = fit_circle(c_x, c_y)
-    centlon_e, centlat_e = local_to_coordinates(centlon_e, centlat_e, lon0, lat0)
-    centlon_e = (centlon_e - lon0 + 180) % 360 + lon0 - 180
-    return centlon_e, centlat_e, eddy_radius_e, aerr
+    centlon, centlat, eddy_radius, err = fit_circle(c_x, c_y)
+    centlon, centlat = local_to_coordinates(centlon, centlat, lon0, lat0)
+    centlon = (centlon - lon0 + 180) % 360 + lon0 - 180
+    return centlon, centlat, eddy_radius, err
 
 
 @njit(cache=True, fastmath=True)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 4aa7e5e8..3752f201 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -59,6 +59,15 @@ def poly_contain_poly(xy_poly_out, xy_poly_in):
     return True
 
 
+@njit(cache=True)
+def poly_area(vertice):
+    p_area = 0
+    nb_elt = vertice.shape[0]
+    for i_elt in range(1, nb_elt - 1):
+        p_area += vertice[i_elt, 0] * (vertice[1 + i_elt, 1] - vertice[i_elt - 1, 1])
+    return abs(p_area) * 0.5
+
+
 @njit(cache=True)
 def winding_number_poly(x, y, xy_poly):
     nb_elt = xy_poly.shape[0]

From 0c6df515bf574e190d4d723255a7b7959dc1eb84 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 15 Sep 2020 15:26:36 +0200
Subject: [PATCH 089/441] - Change test of contour exclusion in identification
 - Resampling of contour before to fit_circle - Remove pyproj

---
 README.md                                     |   4 +-
 doc/installation.rst                          |   4 +-
 requirements.txt                              |   1 -
 requirements_doc.txt                          |   1 -
 .../data/Anticyclonic_20190223.nc             | Bin 702127 -> 881637 bytes
 src/py_eddy_tracker/data/Cyclonic_20190223.nc | Bin 723040 -> 932405 bytes
 src/py_eddy_tracker/data/__init__.py          |   6 ++
 src/py_eddy_tracker/dataset/grid.py           |  88 ++++++++----------
 8 files changed, 50 insertions(+), 54 deletions(-)

diff --git a/README.md b/README.md
index 71db6750..f04ec1c6 100644
--- a/README.md
+++ b/README.md
@@ -18,10 +18,10 @@ Method is used in :
 
 To avoid problems with installation, use of the virtualenv Python virtual environment is recommended.
 
-Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, pyproj, ...), e.g.:
+Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, ...), e.g.:
 
 ```bash
-pip install numpy scipy netCDF4 matplotlib opencv-python pyyaml pyproj pint polygon3
+pip install numpy scipy netCDF4 matplotlib opencv-python pyyaml pint polygon3
 ```
 
 Then run the following to install the eddy tracker:
diff --git a/doc/installation.rst b/doc/installation.rst
index 7e56f063..40ce9ad5 100644
--- a/doc/installation.rst
+++ b/doc/installation.rst
@@ -7,11 +7,11 @@ Source are available on github https://github.com/AntSimi/py-eddy-tracker
 Use python3.
 To avoid problems with installation, use of the virtualenv Python virtual environment is recommended or conda.
 
-Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, pyproj, ...), e.g.:
+Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, ...), e.g.:
 
 .. code-block:: bash
 
-    pip install numpy scipy netCDF4 matplotlib opencv-python pyyaml pyproj pint polygon3
+    pip install numpy scipy netCDF4 matplotlib opencv-python pyyaml pint polygon3
 
 
 Then run the following to install the eddy tracker:
diff --git a/requirements.txt b/requirements.txt
index 1edf267d..eae54426 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,7 +5,6 @@ numpy
 opencv-python
 pint
 polygon3
-pyproj
 pyyaml
 requests
 scipy
diff --git a/requirements_doc.txt b/requirements_doc.txt
index 4f07fe28..2c5e63c8 100644
--- a/requirements_doc.txt
+++ b/requirements_doc.txt
@@ -5,7 +5,6 @@ numpy
 opencv-python
 pint
 polygon3
-pyproj
 pyyaml
 scipy
 zarr
diff --git a/src/py_eddy_tracker/data/Anticyclonic_20190223.nc b/src/py_eddy_tracker/data/Anticyclonic_20190223.nc
index ddedbbd0a2e23b4bf63494dcd1dd0b6d1fdb9da6..81a8fb7736b56828783df9a8b7a96c4d967b8e66 100644
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diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index f5d3aaae..8da0fa95 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -1,3 +1,9 @@
+"""
+EddyId \
+    nrt_global_allsat_phy_l4_20190223_20190226.nc \
+    20190223 adt ugos vgos longitude latitude . \
+    --cut 800 --fil 1
+"""
 from os import path
 import requests
 import io
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 033f94f2..8a46d6e7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -43,7 +43,6 @@
 from cv2 import filter2D
 from numba import njit, types as numba_types
 from matplotlib.path import Path as BasePath
-from pyproj import Proj
 from pint import UnitRegistry
 from ..observations.observation import EddiesObservations
 from ..eddy_feature import Amplitude, Contours
@@ -701,28 +700,29 @@ def eddy_identification(
                 for contour in contour_paths:
                     if contour.used:
                         continue
-                    centlon_e, centlat_e, eddy_radius_e, aerr = contour.fit_circle()
+                    # FIXME : center could be not in contour and fit on raw sampling
+                    _, _, _, aerr = contour.fit_circle()
 
                     # Filter for shape
                     if aerr < 0 or aerr > shape_error or isnan(aerr):
                         continue
-                    # Get indices of centroid
-                    # Give only 1D array of lon and lat not 2D data
-                    i_x, i_y = self.nearest_grd_indice(centlon_e, centlat_e)
-                    i_x = self.normalize_x_indice(i_x)
-
-                    # Check if centroid is on define value
-                    if data.mask[i_x, i_y]:
-                        continue
-                    # Test to know cyclone or anticyclone
-                    acyc_not_cyc = data[i_x, i_y] >= cvalues
-                    if anticyclonic_search != acyc_not_cyc:
-                        continue
 
                     # Find all pixels in the contour
                     i_x_in, i_y_in = contour.pixels_in(self)
 
-                    # Maybe limit max must be replace with a maximum of surface
+                    # Check if pixels in contour are masked
+                    if data.mask[i_x_in, i_y_in].any():
+                        continue
+
+                    # Test to know cyclone or anticyclone
+                    if anticyclonic_search:
+                        if (data[i_x_in, i_y_in] < cvalues).any():
+                            continue
+                    else:
+                        if (data[i_x_in, i_y_in] > cvalues).any():
+                            continue
+
+                    # FIXME : Maybe limit max must be replace with a maximum of surface
                     if (
                         contour.nb_pixel < pixel_limit[0]
                         or contour.nb_pixel > pixel_limit[1]
@@ -775,30 +775,7 @@ def eddy_identification(
                         pixel_min=pixel_limit[0],
                     )
 
-                    # Use azimuth equal projection for radius
-                    proj = Proj(
-                        "+proj=aeqd +ellps=WGS84 +lat_0={1} +lon_0={0}".format(
-                            *inner_contour.mean_coordinates
-                        )
-                    )
-                    # First, get position based on innermost
-                    # contour
-                    centx_i, centy_i, _, _ = fit_circle(
-                        *proj(inner_contour.lon, inner_contour.lat)
-                    )
-                    centlon_i, centlat_i = proj(centx_i, centy_i, inverse=True)
-                    # Second, get speed-based radius based on
-                    # contour of max uavg
-                    centx_s, centy_s, eddy_radius_s, aerr_s = fit_circle(
-                        *proj(speed_contour.lon, speed_contour.lat)
-                    )
-                    # Computed again to be coherent with speed_radius, we will be compute in same reference
-                    _, _, eddy_radius_e, aerr_e = fit_circle(
-                        *proj(contour.lon, contour.lat)
-                    )
-                    centlon_s, centlat_s = proj(centx_s, centy_s, inverse=True)
-
-                    # Instantiate new EddyObservation object (high cost need to be review)
+                    # FIXME : Instantiate new EddyObservation object (high cost need to be review)
                     obs = EddiesObservations(
                         size=1,
                         track_extra_variables=track_extra_variables,
@@ -818,8 +795,31 @@ def eddy_identification(
                     else:
                         obs.obs["uavg_profile"] = raw_resample(speed_array, sampling)
                     obs.obs["amplitude"] = amp.amplitude
-                    obs.obs["radius_s"] = eddy_radius_s
                     obs.obs["speed_average"] = max_average_speed
+                    obs.obs["num_point_e"] = contour.lon.shape[0]
+                    xy_e = uniform_resample(contour.lon, contour.lat, **out_sampling)
+                    obs.obs["contour_lon_e"], obs.obs["contour_lat_e"] = xy_e
+                    obs.obs["num_point_s"] = speed_contour.lon.shape[0]
+                    xy_s = uniform_resample(
+                        speed_contour.lon, speed_contour.lat, **out_sampling
+                    )
+                    obs.obs["contour_lon_s"], obs.obs["contour_lat_s"] = xy_s
+
+                    # FIXME : we use a contour without resampling
+                    # First, get position based on innermost contour
+                    centlon_i, centlat_i, _, _ = _fit_circle_path(
+                        create_vertice(inner_contour.lon, inner_contour.lat)
+                    )
+                    # Second, get speed-based radius based on contour of max uavg
+                    centlon_s, centlat_s, eddy_radius_s, aerr_s = _fit_circle_path(
+                        create_vertice(*xy_s)
+                    )
+                    # Computed again to use resample contour
+                    _, _, eddy_radius_e, aerr_e = _fit_circle_path(
+                        create_vertice(*xy_e)
+                    )
+
+                    obs.obs["radius_s"] = eddy_radius_s
                     obs.obs["radius_e"] = eddy_radius_e
                     obs.obs["shape_error_e"] = aerr_e
                     obs.obs["shape_error_s"] = aerr_s
@@ -827,14 +827,6 @@ def eddy_identification(
                     obs.obs["lat"] = centlat_s
                     obs.obs["lon_max"] = centlon_i
                     obs.obs["lat_max"] = centlat_i
-                    obs.obs["num_point_e"] = contour.lon.shape[0]
-                    xy = uniform_resample(contour.lon, contour.lat, **out_sampling)
-                    obs.obs["contour_lon_e"], obs.obs["contour_lat_e"] = xy
-                    obs.obs["num_point_s"] = speed_contour.lon.shape[0]
-                    xy = uniform_resample(
-                        speed_contour.lon, speed_contour.lat, **out_sampling
-                    )
-                    obs.obs["contour_lon_s"], obs.obs["contour_lat_s"] = xy
                     if aerr > 99.9 or aerr_s > 99.9:
                         logger.warning(
                             "Strange shape at this step! shape_error : %f, %f",

From 70b77186f5f9bad2271a32ecc32e04f6a90744d7 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 15 Sep 2020 16:03:33 +0200
Subject: [PATCH 090/441] Replace numpy function by numba one

---
 src/py_eddy_tracker/dataset/grid.py | 32 ++++++++++++++++++++++-------
 tests/test_id.py                    |  2 +-
 2 files changed, 26 insertions(+), 8 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8a46d6e7..8828f7fe 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -711,16 +711,14 @@ def eddy_identification(
                     i_x_in, i_y_in = contour.pixels_in(self)
 
                     # Check if pixels in contour are masked
-                    if data.mask[i_x_in, i_y_in].any():
+                    if has_masked_value(data.mask, i_x_in, i_y_in):
                         continue
 
                     # Test to know cyclone or anticyclone
-                    if anticyclonic_search:
-                        if (data[i_x_in, i_y_in] < cvalues).any():
-                            continue
-                    else:
-                        if (data[i_x_in, i_y_in] > cvalues).any():
-                            continue
+                    if has_value(
+                        data, i_x_in, i_y_in, cvalues, below=anticyclonic_search
+                    ):
+                        continue
 
                     # FIXME : Maybe limit max must be replace with a maximum of surface
                     if (
@@ -1857,3 +1855,23 @@ def _nearest_grd_indice(x, y, x0, y0, xstep, ystep):
         numba_types.int32(round(((x - x0[0]) % 360.0) / xstep)),
         numba_types.int32(round((y - y0[0]) / ystep)),
     )
+
+
+@njit(cache=True)
+def has_masked_value(grid, i_x, i_y):
+    for i, j in zip(i_x, i_y):
+        if grid[i, j]:
+            return True
+    return False
+
+
+@njit(cache=True)
+def has_value(grid, i_x, i_y, value, below=False):
+    for i, j in zip(i_x, i_y):
+        if below:
+            if grid[i, j] < value:
+                return True
+        else:
+            if grid[i, j] > value:
+                return True
+    return False
diff --git a/tests/test_id.py b/tests/test_id.py
index 1469cad0..371681ae 100644
--- a/tests/test_id.py
+++ b/tests/test_id.py
@@ -10,5 +10,5 @@
 def test_id():
     g.add_uv("adt")
     a, c = g.eddy_identification("adt", "u", "v", datetime(2019, 2, 23))
-    assert len(a) == 35
+    assert len(a) == 36
     assert len(c) == 36

From 775b28fb0a6b367c1bd21c7bcee065f002d02ba1 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 16 Sep 2020 23:11:34 +0200
Subject: [PATCH 091/441] Correction on docstring

---
 doc/conf.py                                   |  2 +
 notebooks/README.md                           |  3 +-
 src/py_eddy_tracker/dataset/grid.py           | 60 +++++++++++--------
 .../observations/observation.py               | 30 +++++-----
 src/py_eddy_tracker/observations/tracking.py  | 39 ++++++------
 5 files changed, 72 insertions(+), 62 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index b14a8941..777d6ae8 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -38,6 +38,8 @@
     "sphinx_gallery.gen_gallery",
 ]
 
+autoclass_content = 'both'
+
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "python_module",
diff --git a/notebooks/README.md b/notebooks/README.md
index 0e481b17..aed4f093 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,2 +1,3 @@
+python setup.py install
 python setup.py build_sphinx
-rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
\ No newline at end of file
+rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8828f7fe..376dcf01 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -295,6 +295,14 @@ class GridDataset(object):
     def __init__(
         self, filename, x_name, y_name, centered=None, indexs=None, unset=False
     ):
+        """
+        :param str filename: Filename to load
+        :param str x_name: Name of longitude coordinates
+        :param str y_name: Name of latitude coordinates
+        :param bool,None centered: Allow to know how coordinates could be used with pixel
+        :param dict indexs: A dictionary which set indexs to use for non-coordinate dimensions
+        :param bool unset: Set to True to create an empty grid object without file
+        """
         self.dimensions = None
         self.variables_description = None
         self.global_attrs = None
@@ -457,11 +465,9 @@ def units(self, varname):
     def copy(self, grid_in, grid_out):
         """
         Duplicate a variable
-        Args:
-            grid_in:
-            grid_out:
 
-        Returns:
+        :param grid_in:
+        :param grid_out:
 
         """
         h_dict = self.variables_description[grid_in]
@@ -580,19 +586,22 @@ def eddy_identification(
         force_speed_unit=None,
     ):
         """
-
-        Args:
-            grid_height:
-            uname:
-            vname:
-            date:
-            step: must be in meter (m)
-            shape_error: must be in percent (%)
-            sampling:
-            pixel_limit:
-            precision: must be in meter(m)
-
-        Returns:
+        Compute eddy identification on specified grid
+
+        :param str grid_height: Grid name of height
+        :param str uname: Grid name of u speed component
+        :param str vname: Grid name of v speed component
+        :param datetime.datetime date: Date which will be store in object to date data
+        :param float,int step: Height between two layers in m
+        :param float,int shape_error: Maximal error allow for outter contour in %
+        :param int sampling: Sampling of contour and speed profile
+        :param (int,int),None pixel_limit: Min and max of pixel which must be inside inner and outer contour to be considered like an eddy
+        :param float,None precision: Truncate value at the defined precision in m
+        :param str force_height_unit: Unit to used for height unit
+        :param str force_speed_unit: Unit to used for speed unit
+
+        :return: Return a list of 2 elements: Anticyclone and Cyclone
+        :rtype: py_eddy_tracker.observations.observation.EddiesObservations
 
         """
         if not isinstance(date, datetime):
@@ -1752,16 +1761,19 @@ def display(self, ax, name, factor=1, **kwargs):
     def interp(self, grid_name, lons, lats):
         """
         Compute z over lons, lats
-        Args:
-            grid_name: Grid which will be interp
-            lons: new x
-            lats: new y
 
-        Returns:
-            new z
+        :param str grid_name: Grid which will be interp
+        :param lons: new x
+        :param lats: new y
+
+        :return: new z
         """
         g = self.grid(grid_name)
-        return interp2d_geo(self.x_c, self.y_c, g, g.mask, lons, lats)
+        if len(g.mask.shape):
+            m = g.mask
+        else:
+            m = ones(g.shape) if g.mask else zeros(g.shape)
+        return interp2d_geo(self.x_c, self.y_c, g, m, lons, lats)
 
 
 @njit(cache=True, fastmath=True)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f764ca87..4eee6eeb 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -668,16 +668,15 @@ def propagate(
     ):
         """
         Filled virtual obs (C)
-        Args:
-            previous_obs: previous obs from current (A)
-            current_obs: previous obs from virtual (B)
-            obs_to_extend:
-            dead_track:
-            nb_next:
-            model:
-
-        Returns:
-            New position C = B + AB
+
+        :param previous_obs: previous obs from current (A)
+        :param current_obs: previous obs from virtual (B)
+        :param obs_to_extend:
+        :param dead_track:
+        :param nb_next:
+        :param model:
+
+        :return: New position C = B + AB
         """
         next_obs = VirtualEddiesObservations(
             size=nb_next,
@@ -742,12 +741,11 @@ def match(self, other, intern=False, cmin=0):
     @classmethod
     def cost_function_common_area(cls, xy_in, xy_out, distance, intern=False):
         """ How does it work on x bound ?
-        Args:
-            xy_in:
-            xy_out:
-            distance:
-            intern:
-        Returns:
+
+        :param xy_in:
+        :param xy_out:
+        :param distance:
+        :param bool intern:
 
         """
         x_name, y_name = cls.intern(intern)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 05098cd0..4448c9d5 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -161,11 +161,8 @@ def set_global_attr_netcdf(self, h_nc):
     def extract_with_area(self, area, **kwargs):
         """
         Extract with a bounding box
-        Args:
-            area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
-            **kwargs:
 
-        Returns:
+        :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
 
         """
         mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
@@ -177,12 +174,10 @@ def extract_with_area(self, area, **kwargs):
     def extract_with_period(self, period, **kwargs):
         """
         Extract with a period
-        Args:
-            period: two date to define period, must be specify from 1/1/1950
-            **kwargs: directly give to __extract_with_mask
 
-        Returns:
-            same object with selected data
+        :param (datetime.datetime,datetime.datetime) period: two date to define period, must be specify from 1/1/1950
+
+        :return: same object with selected data
         """
         dataset_period = self.period
         p_min, p_max = period
@@ -511,13 +506,14 @@ def compute_mask_from_id(tracks, first_index, number_of_obs, mask):
 def track_loess_filter(half_window, x, y, track):
     """
     Apply a loess filter on y field
-    Args:
-        window: parameter of smoother
-        x: must be growing for each track but could be irregular
-        y: field to smooth
-        track: field which allow to separate path
 
-    Returns:
+    :param int,float window: parameter of smoother
+    :param array_like x: must be growing for each track but could be irregular
+    :param array_like y: field to smooth
+    :param array_like track: field which allow to separate path
+
+    :return: Array smoothed
+    :rtype: array_like
 
     """
     nb = y.shape[0]
@@ -555,13 +551,14 @@ def track_loess_filter(half_window, x, y, track):
 def track_median_filter(half_window, x, y, track):
     """
     Apply a loess filter on y field
-    Args:
-        window: parameter of smoother
-        x: must be growing for each track but could be irregular
-        y: field to smooth
-        track: field which allow to separate path
 
-    Returns:
+    :param int,float half_window: parameter of smoother
+    :param array_like x: must be growing for each track but could be irregular
+    :param array_like y: field to smooth
+    :param array_like track: field which allow to separate path
+
+    :return: Array smoothed
+    :rtype: array_like
 
     """
     nb = y.shape[0]

From 230d6d1bc05e1186cdd9b48facacab9cf3f74e80 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 17 Sep 2020 17:12:35 +0200
Subject: [PATCH 092/441] Add a method to get mean of grid inside a contour Add
 docstrings

---
 doc/autodoc/featured_tracking.rst             |   2 +-
 doc/autodoc/generic.rst                       |   7 +
 doc/conf.py                                   |   6 +-
 .../pet_interp_grid_on_dataset.py             |  64 +++++++++
 .../pet_propagation.py                        |   2 +-
 .../pet_interp_grid_on_dataset.ipynb          | 119 +++++++++++++++++
 .../data/Anticyclonic_20160515.nc             | Bin 0 -> 109032 bytes
 src/py_eddy_tracker/data/Cyclonic_20160515.nc | Bin 0 -> 109833 bytes
 src/py_eddy_tracker/data/__init__.py          |   4 +
 src/py_eddy_tracker/dataset/grid.py           |  71 +++-------
 src/py_eddy_tracker/generic.py                | 123 +++++++++++++++---
 .../observations/observation.py               |  67 ++++++++++
 12 files changed, 386 insertions(+), 79 deletions(-)
 create mode 100644 doc/autodoc/generic.rst
 create mode 100644 examples/02_eddy_identification/pet_interp_grid_on_dataset.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
 create mode 100644 src/py_eddy_tracker/data/Anticyclonic_20160515.nc
 create mode 100644 src/py_eddy_tracker/data/Cyclonic_20160515.nc

diff --git a/doc/autodoc/featured_tracking.rst b/doc/autodoc/featured_tracking.rst
index d9e8b51e..70a9a577 100644
--- a/doc/autodoc/featured_tracking.rst
+++ b/doc/autodoc/featured_tracking.rst
@@ -4,4 +4,4 @@ Featured tracking
 .. automodule:: py_eddy_tracker.featured_tracking.old_tracker_reference
     :members:
     :undoc-members:
-    :show-inheritance:
\ No newline at end of file
+    :show-inheritance:
diff --git a/doc/autodoc/generic.rst b/doc/autodoc/generic.rst
new file mode 100644
index 00000000..39b1edf4
--- /dev/null
+++ b/doc/autodoc/generic.rst
@@ -0,0 +1,7 @@
+Generic function
+================
+
+.. automodule:: py_eddy_tracker.generic
+    :members:
+    :undoc-members:
+    :show-inheritance:
diff --git a/doc/conf.py b/doc/conf.py
index 777d6ae8..4e27905e 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -15,7 +15,7 @@
 # import sys
 # import os
 import sphinx_rtd_theme
-
+import py_eddy_tracker
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
@@ -82,9 +82,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = u"3.0"
+version = py_eddy_tracker.__version__
 # The full version, including alpha/beta/rc tags.
-release = u"3.0"
+release = py_eddy_tracker.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
new file mode 100644
index 00000000..e6640b3e
--- /dev/null
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -0,0 +1,64 @@
+"""
+Get mean of grid in each eddies
+===============================
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker import data
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    ax.legend()
+    if mappable:
+        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load detection files and data to interp
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20160515.nc"))
+c = EddiesObservations.load_file(data.get_path("Cyclonic_20160515.nc"))
+
+aviso_map = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+aviso_map.add_uv("adt")
+
+# %%
+# Compute and store eke in cm²/s²
+aviso_map.add_grid(
+    "eke", (aviso_map.grid("u") ** 2 + aviso_map.grid("v") ** 2) * 0.5 * (100 ** 2)
+)
+
+eke_kwargs = dict(vmin=1, vmax=1000, cmap="magma_r")
+
+ax = start_axes("EKE (cm²/s²)")
+m = aviso_map.display(ax, "eke", **eke_kwargs)
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+update_axes(ax, m)
+
+# %%
+# Get mean of eke in each effective contour
+
+ax = start_axes("EKE (cm²/s²)")
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+eke = a.interp_grid(aviso_map, "eke", method="mean", intern=False)
+m = ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)
+eke = c.interp_grid(aviso_map, "eke", method="mean", intern=False)
+m = ax.scatter((c.longitude + 10) % 360 - 10, c.latitude, c=eke, **eke_kwargs)
+update_axes(ax, m)
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index 49a3b532..c70a324e 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -1,6 +1,6 @@
 """
 Propagation Histogram
-===================
+=====================
 
 """
 from matplotlib import pyplot as plt
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
new file mode 100644
index 00000000..9997f659
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -0,0 +1,119 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Get mean of grid in each eddies\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    ax.legend()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files and data to interp\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# aviso_map.add_uv(\"adt\")\naviso_map.add_uv(\"sla\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Compute and store eke in cm\u00b2/s\u00b2\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "aviso_map.add_grid(\n    \"eke\", (aviso_map.grid(\"u\") ** 2 + aviso_map.grid(\"v\") ** 2) * 0.5 * (100 ** 2)\n)\n\neke_kwargs = dict(vmin=1, vmax=1000, cmap=\"magma_r\")\n\nax = start_axes(\"EKE (cm\u00b2/s\u00b2)\")\nm = aviso_map.display(ax, \"eke\", **eke_kwargs)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get mean of eke in each effective contour\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"EKE (cm\u00b2/s\u00b2)\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\neke = a.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)\neke = c.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = ax.scatter((c.longitude + 10) % 360 - 10, c.latitude, c=eke, **eke_kwargs)\nupdate_axes(ax, m)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.0"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/data/Anticyclonic_20160515.nc b/src/py_eddy_tracker/data/Anticyclonic_20160515.nc
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 8da0fa95..3380cd24 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -3,6 +3,10 @@
     nrt_global_allsat_phy_l4_20190223_20190226.nc \
     20190223 adt ugos vgos longitude latitude . \
     --cut 800 --fil 1
+EddyId \
+    dt_med_allsat_phy_l4_20160515_20190101.nc \
+    20160515 adt None None longitude latitude . \
+    --cut 800 --fil 1
 """
 from os import path
 import requests
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 376dcf01..8fb397c1 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -54,10 +54,12 @@
     uniform_resample,
     coordinates_to_local,
     local_to_coordinates,
+    get_pixel_in_regular,
+    nearest_grd_indice,
+    bbox_indice_regular,
 )
 from ..poly import (
     poly_contain_poly,
-    winding_number_grid_in_poly,
     winding_number_poly,
     create_vertice,
     poly_area,
@@ -174,36 +176,6 @@ def _fit_circle_path(vertice):
     return centlon, centlat, eddy_radius, err
 
 
-@njit(cache=True, fastmath=True)
-def _get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
-    if x_stop < x_start:
-        x_ref = vertices[0, 0]
-        x_array = (
-            (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360
-            + x_ref
-            - 180
-        )
-        return winding_number_grid_in_poly(
-            x_array,
-            y_c[y_start:y_stop],
-            x_start,
-            x_stop,
-            x_c.shape[0],
-            y_start,
-            vertices,
-        )
-    else:
-        return winding_number_grid_in_poly(
-            x_c[x_start:x_stop],
-            y_c[y_start:y_stop],
-            x_start,
-            x_stop,
-            x_c.shape[0],
-            y_start,
-            vertices,
-        )
-
-
 @njit(cache=True, fastmath=True)
 def _get_pixel_in_unregular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
     nb_x, nb_y = x_stop - x_start, y_stop - y_start
@@ -454,6 +426,7 @@ def is_circular(self):
         return False
 
     def units(self, varname):
+        """Get unit from variable"""
         stored_units = self.variables_description[varname]["attrs"].get("units", None)
         if stored_units is not None:
             return stored_units
@@ -479,6 +452,15 @@ def copy(self, grid_in, grid_out):
         )
         self.vars[grid_out] = self.grid(grid_in).copy()
 
+    def add_grid(self, varname, grid):
+        """
+        Add a grid in handler
+
+        :param str varname: name of future grid
+        :param array grid: grid array
+        """
+        self.vars[varname] = grid
+
     def grid(self, varname, indexs=None):
         """give grid required
         """
@@ -1180,7 +1162,7 @@ def bbox_indice(self, vertices):
 
     def get_pixels_in(self, contour):
         (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
-        return _get_pixel_in_regular(
+        return get_pixel_in_regular(
             contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
         )
 
@@ -1188,7 +1170,7 @@ def normalize_x_indice(self, indices):
         return indices % self.x_size
 
     def nearest_grd_indice(self, x, y):
-        return _nearest_grd_indice(
+        return nearest_grd_indice(
             x, y, self.x_bounds, self.y_bounds, self.xstep, self.ystep
         )
 
@@ -1846,29 +1828,6 @@ def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
     return i_g, j_g, d_max
 
 
-@njit(cache=True)
-def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
-    lon, lat = vertices[:, 0], vertices[:, 1]
-    lon_min, lon_max = lon.min(), lon.max()
-    lat_min, lat_max = lat.min(), lat.max()
-    i_x0, i_y0 = _nearest_grd_indice(lon_min, lat_min, x0, y0, xstep, ystep)
-    i_x1, i_y1 = _nearest_grd_indice(lon_max, lat_max, x0, y0, xstep, ystep)
-    if circular:
-        slice_x = (i_x0 - N) % x_size, (i_x1 + N + 1) % x_size
-    else:
-        slice_x = max(i_x0 - N, 0), i_x1 + N + 1
-    slice_y = i_y0 - N, i_y1 + N + 1
-    return slice_x, slice_y
-
-
-@njit(cache=True, fastmath=True)
-def _nearest_grd_indice(x, y, x0, y0, xstep, ystep):
-    return (
-        numba_types.int32(round(((x - x0[0]) % 360.0) / xstep)),
-        numba_types.int32(round((y - y0[0]) / ystep)),
-    )
-
-
 @njit(cache=True)
 def has_masked_value(grid, i_x, i_y):
     for i, j in zip(i_x, i_y):
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 800a3f9f..9ee17640 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -38,9 +38,11 @@
     zeros,
     isnan,
     bool_,
+    concatenate,
 )
 from numba import njit, prange, types as numba_types
 from numpy.linalg import lstsq
+from .poly import winding_number_grid_in_poly
 
 
 @njit(cache=True)
@@ -74,14 +76,12 @@ def build_index(groups):
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
-    Args:
-        lon0:
-        lat0:
-        lon1:
-        lat1:
-
-    Returns:
-        nan value for far away point, and km for other
+    :param lon0:
+    :param lat0:
+    :param lon1:
+    :param lat1:
+
+    :return: nan value for far away point, and km for other
     """
     nb_0 = lon0.shape[0]
     nb_1 = lon1.shape[0]
@@ -272,8 +272,11 @@ def fit_circle(x_vec, y_vec):
 def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     """
     Resample contours to have (nearly) equal spacing
-       x_val, y_val : input contour coordinates
-       num_fac : factor to increase lengths of output coordinates
+
+    :param array_like x_val: input x contour coordinates
+    :param array_like y_val: input y contour coordinates
+    :param int num_fac: factor to increase lengths of output coordinates
+    :param int,None fixed_size: if define, it will used to set sampling
     """
     nb = x_val.shape[0]
     # Get distances
@@ -296,10 +299,9 @@ def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
 def flatten_line_matrix(l_matrix):
     """
     Flat matrix and add on between each line
-    Args:
-        l_matrix: matrix of position
+    :param l_matrix: matrix of position
 
-    Returns: array with nan between line
+    :return: array with nan between line
     """
     nb_line, sampling = l_matrix.shape
     final_size = (nb_line - 1) + nb_line * sampling
@@ -349,12 +351,11 @@ def simplify(x, y, precision=0.1):
 def split_line(x, y, i):
     """
     Split x and y at each i change
-    Args:
-        x: array
-        y: array
-        i: array of int at each i change, we cut x, y
+    :param x: array
+    :param y: array
+    :param i: array of int at each i change, we cut x, y
 
-    Returns: x and y separate by nan at each i jump
+    :return: x and y separate by nan at each i jump
     """
     nb_jump = len(where(i[1:] - i[:-1] != 0)[0])
     nb_value = x.shape[0]
@@ -453,3 +454,89 @@ def local_to_coordinates(x, y, lon0, lat0):
         / D2R
     )
     return lon, lat / D2R
+
+
+@njit(cache=True, fastmath=True)
+def nearest_grd_indice(x, y, x0, y0, xstep, ystep):
+    """
+    Get nearest grid indice from a position
+
+    :param x: longitude
+    :param y: latitude
+    :param float x0: first grid longitude
+    :param float y0: first grid latitude
+    :param float xstep: step between two longitude
+    :param float ystep: step between two latitude
+    """
+    return (
+        numba_types.int32(round(((x - x0[0]) % 360.0) / xstep)),
+        numba_types.int32(round((y - y0[0]) / ystep)),
+    )
+
+
+@njit(cache=True)
+def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
+    """
+    Get bbox indice of a contour in a regular grid
+
+    :param vertices: vertice of contour
+    :param float x0: first grid longitude
+    :param float y0: first grid latitude
+    :param float xstep: step between two longitude
+    :param float ystep: step between two latitude
+    :param int N: shift of index to enlarge window
+    :param bool circular: To know if grid is wrappable
+    :param int x_size: Number of longitude
+    """
+    lon, lat = vertices[:, 0], vertices[:, 1]
+    lon_min, lon_max = lon.min(), lon.max()
+    lat_min, lat_max = lat.min(), lat.max()
+    i_x0, i_y0 = nearest_grd_indice(lon_min, lat_min, x0, y0, xstep, ystep)
+    i_x1, i_y1 = nearest_grd_indice(lon_max, lat_max, x0, y0, xstep, ystep)
+    if circular:
+        slice_x = (i_x0 - N) % x_size, (i_x1 + N + 1) % x_size
+    else:
+        slice_x = max(i_x0 - N, 0), i_x1 + N + 1
+    slice_y = i_y0 - N, i_y1 + N + 1
+    return slice_x, slice_y
+
+
+@njit(cache=True, fastmath=True)
+def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
+    """
+    Get a pixel list of a regular grid contain in a contour
+
+    :param array_like vertices: contour vertice (N,2)
+    :param array_like x_c: longitude coordinate of grid
+    :param array_like y_c: latitude coordinate of grid
+    :param int x_start: west index of contour
+    :param int y_start: east index of contour
+    :param int x_stop: south index of contour
+    :param int y_stop: north index of contour
+    """
+    if x_stop < x_start:
+        x_ref = vertices[0, 0]
+        x_array = (
+            (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360
+            + x_ref
+            - 180
+        )
+        return winding_number_grid_in_poly(
+            x_array,
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )
+    else:
+        return winding_number_grid_in_poly(
+            x_c[x_start:x_stop],
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 4eee6eeb..ffc95d84 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -68,6 +68,8 @@
     wrap_longitude,
     local_to_coordinates,
     reverse_index,
+    get_pixel_in_regular,
+    bbox_indice_regular,
 )
 from ..poly import bbox_intersection, vertice_overlap, create_vertice
 
@@ -1328,6 +1330,41 @@ def grid_stat(self, bins, varname):
         )
         return regular_grid
 
+    def interp_grid(
+        self, grid_object, varname, method="center", dtype=None, intern=None
+    ):
+        """
+        Interpolate a grid on a center or contour with mean, min or max method
+
+        :param grid_object: Handler of grid to interp
+        :type grid_object: py_eddy_tracker.dataset.grid.RegularGridDataset
+        :param str varname: Name of variable to use
+        :param str method: 'center','mean'
+        :param str dtype: if None we use var dtype
+        :param bool intern: Use extern or intern contour
+        """
+        if method == "center":
+            return grid_object.interp(varname, self.longitude, self.latitude)
+        elif method in ("min", "max", "mean"):
+            x0 = grid_object.x_bounds[0]
+            x_name, y_name = self.intern(False if intern is None else intern)
+            x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
+            x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
+            grid = grid_object.grid(varname)
+            result = empty(self.shape, dtype=grid.dtype if dtype is None else dtype)
+            grid_mean(
+                grid_object.x_c,
+                grid_object.y_c,
+                grid,
+                x,
+                y,
+                result,
+                grid_object.is_circular(),
+            )
+            return result
+        else:
+            raise Exception(f'method "{method}" unknown')
+
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
@@ -1335,6 +1372,36 @@ def grid_count_(grid, i, j):
         grid[i_, j_] += 1
 
 
+@njit(cache=True)
+def grid_mean(x_c, y_c, grid, x, y, result, circular=False):
+    """
+    Compute mean of grid for each contour
+
+    :param array_like x_c: longitude coordinate of grid
+    :param array_like y_c: latitude coordinate of grid
+    :param array_like grid: grid value
+    :param array_like x: longitude of contours
+    :param array_like y: latitude of contours
+    :param array_like result: return values
+    :param bool circular: True if grid is wrappable
+    """
+    nb = result.shape[0]
+    xstep, ystep = x_c[1] - x_c[0], y_c[1] - y_c[0]
+    x0, y0 = x_c - xstep / 2.0, y_c - ystep / 2.0
+    nb_x = x_c.shape[0]
+    for elt in range(nb):
+        v = create_vertice(x[elt], y[elt],)
+        (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
+            v, x0, y0, xstep, ystep, 1, circular, nb_x
+        )
+        i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
+
+        v_sum = 0
+        for i_, j_ in zip(i, j):
+            v_sum += grid[i_, j_]
+        result[elt] = v_sum / i.shape[0]
+
+
 class VirtualEddiesObservations(EddiesObservations):
     """Class to work with virtual obs
     """

From d5b6157ae216b96d34b791574dd6116bdfb5ee7d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 19 Sep 2020 14:39:37 +0200
Subject: [PATCH 093/441] add docstring for polygon

---
 doc/index.rst               |   1 +
 src/py_eddy_tracker/poly.py | 105 ++++++++++++++++++++++++++++++++----
 2 files changed, 95 insertions(+), 11 deletions(-)

diff --git a/doc/index.rst b/doc/index.rst
index 4e6cfa46..071fa230 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -43,6 +43,7 @@ Welcome to py-eddy-tracker's documentation!
    autodoc/eddy_feature
    autodoc/featured_tracking
    autodoc/poly
+   autodoc/generic
 
 
 Indices and tables
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 3752f201..748b0126 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -31,11 +31,19 @@ def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
     """
     http://geomalgorithms.com/a03-_inclusion.html
     isLeft(): tests if a point is Left|On|Right of an infinite line.
-    Input:  three points P0, P1, and P2
-    Return: >0 for P2 left of the line through P0 and P1
-            =0 for P2  on the line
-            <0 for P2  right of the line
     See: Algorithm 1 "Area of Triangles and Polygons"
+
+    :param float x_line_0:
+    :param float y_line_0:
+    :param float x_line_1:
+    :param float y_line_1:
+    :param float x_test:
+    :param float y_test:
+    :return: > 0 for P2 left of the line through P0 and P1
+            = 0 for P2  on the line
+            < 0 for P2  right of the line
+    :rtype: bool
+
     """
     # Vector product
     product = (x_line_1 - x_line_0) * (y_test - y_line_0) - (x_test - x_line_0) * (
@@ -46,6 +54,12 @@ def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
 
 @njit(cache=True)
 def poly_contain_poly(xy_poly_out, xy_poly_in):
+    """
+    :param vertice xy_poly_out:
+    :param vertice xy_poly_in:
+    :return: True if poly_in is in poly_out
+    :rtype: bool
+    """
     nb_elt = xy_poly_in.shape[0]
     x = xy_poly_in[:, 0]
     x_ref = xy_poly_out[0, 0]
@@ -61,7 +75,12 @@ def poly_contain_poly(xy_poly_out, xy_poly_in):
 
 @njit(cache=True)
 def poly_area(vertice):
-    p_area = 0
+    """
+    :param vertice vertice: polygon vertice
+    :return: area of polygon in coordinates unit
+    :rtype: float
+    """
+    p_area = vertice[0, 0] * (vertice[1, 1] - vertice[1, -2])
     nb_elt = vertice.shape[0]
     for i_elt in range(1, nb_elt - 1):
         p_area += vertice[i_elt, 0] * (vertice[1 + i_elt, 1] - vertice[i_elt - 1, 1])
@@ -70,6 +89,15 @@ def poly_area(vertice):
 
 @njit(cache=True)
 def winding_number_poly(x, y, xy_poly):
+    """
+    Check if x,y is in poly
+
+    :param float x: x to test
+    :param float y: y to test
+    :param vertice xy_poly: vertice of polygon
+    :return: wn == 0  if x,y is not in poly
+    :retype: int
+    """
     nb_elt = xy_poly.shape[0]
     wn = 0
     # loop through all edges of the polygon
@@ -97,12 +125,17 @@ def winding_number_poly(x, y, xy_poly):
 def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
     """
     http://geomalgorithms.com/a03-_inclusion.html
-    wn_PnPoly(): winding number test for a point in a polygon
-          Input:   P = a point,
-                   V[] = vertex points of a polygon V[n+1] with V[n]=V[0]
-          Return:  wn = the winding number (=0 only when P is outside)
+
+    :param array x_1d: x of local grid
+    :param array y_1d: y of local grid
+    :param int i_x0: int to add at x index to have index in global grid
+    :param int i_x1: last index in global grid
+    :param int x_size: number of x in global grid
+    :param int i_y0: int to add at y index to have index in global grid
+    :param vertice xy_poly: vertices of polygon which must contain pixel
+    :return: Return index in xy_poly
+    :rtype: (int,int)
     """
-    # the  winding number counter
     nb_x, nb_y = len(x_1d), len(y_1d)
     wn = empty((nb_x, nb_y), dtype=numba_types.bool_)
     for i in prange(nb_x):
@@ -120,7 +153,15 @@ def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
 
 @njit(cache=True, fastmath=True)
 def bbox_intersection(x0, y0, x1, y1):
-    """compute bbox to check if there are a bbox intersection
+    """
+    Compute bbox to check if there are a bbox intersection
+
+    :param array x0: x for polygon list 0
+    :param array y0: y for polygon list 0
+    :param array x1: x for polygon list 1
+    :param array y1: y for polygon list 1
+    :return: index of each polygon bbox which have an intersection
+    :rtype: (int, int)
     """
     nb0 = x0.shape[0]
     nb1 = x1.shape[0]
@@ -152,6 +193,12 @@ def bbox_intersection(x0, y0, x1, y1):
 
 @njit(cache=True)
 def create_vertice(x, y):
+    """
+    :param array x:
+    :param array y:
+    :return: Return the vertice of polygon
+    :rtype: vertice
+    """
     nb = x.shape[0]
     v = empty((nb, 2), dtype=x.dtype)
     for i in range(nb):
@@ -162,6 +209,15 @@ def create_vertice(x, y):
 
 @njit(cache=True)
 def create_vertice_from_2darray(x, y, index):
+    """
+    Choose a polygon in x,y list and return vertice
+
+    :param array x:
+    :param array y:
+    :param int index:
+    :return: Return the vertice of polygon
+    :rtype: vertice
+    """
     _, nb = x.shape
     v = empty((nb, 2), dtype=x.dtype)
     for i in range(nb):
@@ -172,6 +228,17 @@ def create_vertice_from_2darray(x, y, index):
 
 @njit(cache=True)
 def get_wrap_vertice(x0, y0, x1, y1, i):
+    """
+    Return a vertice for each polygon and check that use same reference coordinates
+
+    :param array x0: x for polygon list 0
+    :param array y0: y for polygon list 0
+    :param array x1: x for polygon list 1
+    :param array y1: y for polygon list 1
+    :param int i: index to use fot the 2 list
+    :return: return two compatible vertice
+    :rtype: (vertice, vertice)
+    """
     x0_, x1_ = x0[i], x1[i]
     if abs(x0_[0] - x1_[0]) > 180:
         ref = x0_[0] - x0.dtype.type(180)
@@ -180,6 +247,15 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
 
 
 def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
+    """
+    :param array x0: x for polygon list 0
+    :param array y0: y for polygon list 0
+    :param array x1: x for polygon list 1
+    :param array y1: y for polygon list 1
+    :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
+    :return: Result of cost function
+    :rtype: array
+    """
     nb = x0.shape[0]
     cost = empty(nb)
     for i in range(nb):
@@ -199,6 +275,13 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
 
 
 def polygon_overlap(p0, p1, minimal_area=False):
+    """
+    :param list(Polygon) p0: List of polygon to compare with p1 list
+    :param list(Polygon) p1: List of polygon to compare with p0 list
+    :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
+    :return: Result of cost function
+    :rtype: array
+    """
     nb = len(p1)
     cost = empty(nb)
     for i in range(nb):

From da32c9d5c20f2d337cd92f72a5d55b6347b00386 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 19 Sep 2020 16:13:57 +0200
Subject: [PATCH 094/441] error is now compute outside of fitcircle

---
 src/py_eddy_tracker/dataset/grid.py |   4 +-
 src/py_eddy_tracker/generic.py      |  74 --------------------
 src/py_eddy_tracker/poly.py         | 104 ++++++++++++++++++++++++++--
 tests/test_poly.py                  |  18 +++++
 4 files changed, 117 insertions(+), 83 deletions(-)
 create mode 100644 tests/test_poly.py

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8fb397c1..8fb6c4f9 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -50,7 +50,6 @@
 from ..generic import (
     distance,
     interp2d_geo,
-    fit_circle,
     uniform_resample,
     coordinates_to_local,
     local_to_coordinates,
@@ -63,6 +62,7 @@
     winding_number_poly,
     create_vertice,
     poly_area,
+    fit_circle,
 )
 
 logger = logging.getLogger("pet")
@@ -153,7 +153,7 @@ def _circle_from_equal_area(vertice):
         # logger.debug('%d coordinates %s,%s', len(lons),lons,
         # lats)
         return 0, -90, nan, nan
-    return lon0, lat0, (poly_area(create_vertice(c_x, c_y)) / pi) ** 0.5, nan
+    return lon0, lat0, (poly_area(c_x, c_y) / pi) ** 0.5, nan
 
 
 @njit(cache=True, fastmath=True)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 9ee17640..9771d322 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -41,7 +41,6 @@
     concatenate,
 )
 from numba import njit, prange, types as numba_types
-from numpy.linalg import lstsq
 from .poly import winding_number_grid_in_poly
 
 
@@ -195,79 +194,6 @@ def custom_convolution(data, mask, kernel):
     return out
 
 
-@njit(cache=True)
-def fit_circle(x_vec, y_vec):
-    nb_elt = x_vec.shape[0]
-    p_inon_x = empty(nb_elt)
-    p_inon_y = empty(nb_elt)
-
-    # last coordinates == first
-    x_mean = x_vec[1:].mean()
-    y_mean = y_vec[1:].mean()
-
-    norme = (x_vec[1:] - x_mean) ** 2 + (y_vec[1:] - y_mean) ** 2
-    norme_max = norme.max()
-    scale = norme_max ** 0.5
-
-    # Form matrix equation and solve it
-    # Maybe put f4
-    datas = ones((nb_elt - 1, 3))
-    datas[:, 0] = 2.0 * (x_vec[1:] - x_mean) / scale
-    datas[:, 1] = 2.0 * (y_vec[1:] - y_mean) / scale
-
-    (center_x, center_y, radius), _, _, _ = lstsq(datas, norme / norme_max)
-
-    # Unscale data and get circle variables
-    radius += center_x ** 2 + center_y ** 2
-    radius **= 0.5
-    center_x *= scale
-    center_y *= scale
-    # radius of fitted circle
-    radius *= scale
-    # center X-position of fitted circle
-    center_x += x_mean
-    # center Y-position of fitted circle
-    center_y += y_mean
-
-    # area of fitted circle
-    c_area = (radius ** 2) * pi
-    # Find distance between circle center and contour points_inside_poly
-    for i_elt in range(nb_elt):
-        # Find distance between circle center and contour points_inside_poly
-        dist_poly = (
-            (x_vec[i_elt] - center_x) ** 2 + (y_vec[i_elt] - center_y) ** 2
-        ) ** 0.5
-        # Indices of polygon points outside circle
-        # p_inon_? : polygon x or y points inside & on the circle
-        if dist_poly > radius:
-            p_inon_y[i_elt] = center_y + radius * (y_vec[i_elt] - center_y) / dist_poly
-            p_inon_x[i_elt] = center_x - (center_x - x_vec[i_elt]) * (
-                center_y - p_inon_y[i_elt]
-            ) / (center_y - y_vec[i_elt])
-        else:
-            p_inon_x[i_elt] = x_vec[i_elt]
-            p_inon_y[i_elt] = y_vec[i_elt]
-
-    # Area of closed contour/polygon enclosed by the circle
-    p_area_incirc = 0
-    p_area = 0
-    for i_elt in range(nb_elt - 1):
-        # Indices of polygon points outside circle
-        # p_inon_? : polygon x or y points inside & on the circle
-        p_area_incirc += (
-            p_inon_x[i_elt] * p_inon_y[1 + i_elt]
-            - p_inon_x[i_elt + 1] * p_inon_y[i_elt]
-        )
-        # Shape test
-        # Area and centroid of closed contour/polygon
-        p_area += x_vec[i_elt] * y_vec[1 + i_elt] - x_vec[1 + i_elt] * y_vec[i_elt]
-    p_area = abs(p_area) * 0.5
-    p_area_incirc = abs(p_area_incirc) * 0.5
-
-    a_err = (c_area - 2 * p_area_incirc + p_area) * 100.0 / c_area
-    return center_x, center_y, radius, a_err
-
-
 @njit(cache=True, fastmath=True)
 def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     """
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 748b0126..f2cd7089 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -21,7 +21,8 @@
 ===========================================================================
 """
 
-from numpy import empty, where, array
+from numpy import empty, where, array, ones, pi
+from numpy.linalg import lstsq
 from numba import njit, prange, types as numba_types
 from Polygon import Polygon
 
@@ -74,16 +75,27 @@ def poly_contain_poly(xy_poly_out, xy_poly_in):
 
 
 @njit(cache=True)
-def poly_area(vertice):
+def poly_area_vertice(v):
     """
-    :param vertice vertice: polygon vertice
+    :param vertice v: polygon vertice
     :return: area of polygon in coordinates unit
     :rtype: float
     """
-    p_area = vertice[0, 0] * (vertice[1, 1] - vertice[1, -2])
-    nb_elt = vertice.shape[0]
-    for i_elt in range(1, nb_elt - 1):
-        p_area += vertice[i_elt, 0] * (vertice[1 + i_elt, 1] - vertice[i_elt - 1, 1])
+    return poly_area(v[:, 0], v[:, 1])
+
+
+@njit(cache=True)
+def poly_area(x, y):
+    """
+    :param array x:
+    :param array y:
+    :return: area of polygon in coordinates unit
+    :rtype: float
+    """
+    p_area = x[0] * (y[1] - y[-2])
+    nb = x.shape[0]
+    for i in range(1, nb - 1):
+        p_area += x[i] * (y[1 + i] - y[i - 1])
     return abs(p_area) * 0.5
 
 
@@ -295,3 +307,81 @@ def polygon_overlap(p0, p1, minimal_area=False):
         else:
             cost[i] = intersection / (p0 + p_).area()
     return cost
+
+
+@njit(cache=True)
+def fit_circle(x, y):
+    """
+    From a polygon, function will fit a circle
+    Must be call with local coordinates (in m, to get a radius in m)
+
+    :param array x: x of polygon
+    :param array y: y of polygon
+    :return: x0, y0, radius, shape_error
+    :rtype: (float,float,float,float)
+    """
+    nb_elt = x.shape[0]
+
+    # last coordinates == first
+    x_mean = x[1:].mean()
+    y_mean = y[1:].mean()
+
+    norme = (x[1:] - x_mean) ** 2 + (y[1:] - y_mean) ** 2
+    norme_max = norme.max()
+    scale = norme_max ** 0.5
+
+    # Form matrix equation and solve it
+    # Maybe put f4
+    datas = ones((nb_elt - 1, 3))
+    datas[:, 0] = 2.0 * (x[1:] - x_mean) / scale
+    datas[:, 1] = 2.0 * (y[1:] - y_mean) / scale
+
+    (x0, y0, radius), _, _, _ = lstsq(datas, norme / norme_max)
+
+    # Unscale data and get circle variables
+    radius += x0 ** 2 + y0 ** 2
+    radius **= 0.5
+    x0 *= scale
+    y0 *= scale
+    # radius of fitted circle
+    radius *= scale
+    # center X-position of fitted circle
+    x0 += x_mean
+    # center Y-position of fitted circle
+    y0 += y_mean
+
+    err = shape_error(x, y, x0, y0, radius)
+    return x0, y0, radius, err
+
+
+@njit(cache=True, fastmath=True)
+def shape_error(x, y, x0, y0, r):
+    """
+    With a polygon(x,y) in local coordinates
+    and circle properties(x0, y0, r), function compute a shape error:
+
+    .. math:: ShapeError = \\frac{Polygon_{area} + Circle_{area} - 2 * Intersection_{area}}{Circle_{area}} * 100
+
+    When error > 100, area of difference is bigger than circle area
+
+    :param array x: x of polygon
+    :param array y: y of polygon
+    :param float x0: x center of circle
+    :param float y0: y center of circle
+    :param float r: radius of circle
+    :return: shape error
+    :rtype: float
+    """
+    # circle area
+    c_area = (r ** 2) * pi
+    p_area = poly_area(x, y)
+    nb = x.shape[0]
+    x, y = x.copy(), y.copy()
+    # Find distance between circle center and polygon
+    for i in range(nb):
+        dx, dy = x[i] - x0, y[i] - y0
+        rd = r / (dx ** 2 + dy ** 2) ** 0.5
+        if rd < 1:
+            x[i] = x0 + dx * rd
+            y[i] = y0 + dy * rd
+    return 100 + (p_area - 2 * poly_area(x, y)) / c_area * 100
diff --git a/tests/test_poly.py b/tests/test_poly.py
new file mode 100644
index 00000000..8b1dbc6c
--- /dev/null
+++ b/tests/test_poly.py
@@ -0,0 +1,18 @@
+from py_eddy_tracker.poly import poly_area_vertice, fit_circle
+from numpy import array, pi
+from pytest import approx
+
+# Vertices for next test
+V = array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)))
+
+
+def test_poly_area():
+    assert 1 == poly_area_vertice(V.T)
+
+
+def test_fit_circle():
+    x0, y0, r, err = fit_circle(*V)
+    assert x0 == approx(2.5, rel=1e-10)
+    assert y0 == approx(-9.5, rel=1e-10)
+    assert r == approx(2 ** 0.5 / 2, rel=1e-10)
+    assert err == approx((r ** 2 * pi - 1) / (r ** 2 * pi) * 100, rel=1e-10)

From 6df67c0df00cc7ab08d7eee5ed659dabd1f0f459 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sun, 20 Sep 2020 22:08:35 +0200
Subject: [PATCH 095/441] Add a new implementation of fit circle

---
 src/py_eddy_tracker/poly.py | 42 +++++++++++++++++++++++++++++++++++++
 tests/test_poly.py          |  2 +-
 2 files changed, 43 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index f2cd7089..98b96424 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -354,6 +354,48 @@ def fit_circle(x, y):
     return x0, y0, radius, err
 
 
+@njit(cache=True)
+def fit_circle_(x, y):
+    """
+    From a polygon, function will fit a circle.
+
+    Must be call with local coordinates (in m, to get a radius in m).
+
+    .. math:: (x_i - x_0)^2 + (y_i - y_0)^2 = r^2
+    .. math:: x_i^2 - 2 x_i x_0 + x_0^2 + y_i^2 - 2 y_i y_0 + y_0^2 = r^2
+    .. math:: 2 x_0 x_i + 2 y_0 y_i + r^2 - x_0^2 - y_0^2 = x_i^2 + y_i^2
+
+    we get this linear equation
+
+    .. math:: a X + b Y + c = Z
+
+    where :
+
+    .. math:: a = 2 x_0 , b = 2 y_0 , c = r^2 - x_0^2 - y_0^2
+    .. math:: X = x_i , Y = y_i , Z = x_i^2 + y_i^2
+
+    Solutions:
+
+    .. math:: x_0 = a / 2 , y_0 = b / 2 , r = \\sqrt{c + x_0^2 + y_0^2}
+
+
+    :param array x: x of polygon
+    :param array y: y of polygon
+    :return: x0, y0, radius, shape_error
+    :rtype: (float,float,float,float)
+    """
+    datas = ones((x.shape[0] - 1, 3))
+    # we skip first position which are the same than the last
+    datas[:, 0] = x[1:]
+    datas[:, 1] = y[1:]
+    # Linear regression
+    (a, b, c), _, _, _ = lstsq(datas, x[1:] ** 2 + y[1:] ** 2)
+    x0, y0 = a / 2.0, b / 2.0
+    radius = (c + x0 ** 2 + y0 ** 2) ** 0.5
+    err = shape_error(x, y, x0, y0, radius)
+    return x0, y0, radius, err
+
+
 @njit(cache=True, fastmath=True)
 def shape_error(x, y, x0, y0, r):
     """
diff --git a/tests/test_poly.py b/tests/test_poly.py
index 8b1dbc6c..9d9104da 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -15,4 +15,4 @@ def test_fit_circle():
     assert x0 == approx(2.5, rel=1e-10)
     assert y0 == approx(-9.5, rel=1e-10)
     assert r == approx(2 ** 0.5 / 2, rel=1e-10)
-    assert err == approx((r ** 2 * pi - 1) / (r ** 2 * pi) * 100, rel=1e-10)
+    assert err == approx((1 - 2 / pi) * 100, rel=1e-10)

From 18084e5f7d24968fab3765e0a1a6b847966134ee Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 21 Sep 2020 13:30:39 +0200
Subject: [PATCH 096/441] Add doc string Remove old unused function

---
 .../pet_eddy_detection.py                     |   2 +-
 .../pet_interp_grid_on_dataset.py             |   2 +-
 examples/06_grid_manipulation/pet_filter.py   |   2 +-
 src/py_eddy_tracker/dataset/grid.py           |  11 +-
 src/py_eddy_tracker/eddy_feature.py           |   1 -
 src/py_eddy_tracker/generic.py                | 125 +++++++++++-------
 .../observations/observation.py               |   1 -
 src/py_eddy_tracker/observations/tracking.py  |   1 -
 src/py_eddy_tracker/poly.py                   |   1 -
 9 files changed, 90 insertions(+), 56 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 25be4901..c2dca788 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -26,7 +26,7 @@ def start_axes(title):
 def update_axes(ax, mappable=None):
     ax.grid()
     if mappable:
-        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
 
 
 # %%
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index e6640b3e..7c41469c 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -24,7 +24,7 @@ def update_axes(ax, mappable=None):
     ax.grid()
     ax.legend()
     if mappable:
-        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
 
 
 # %%
diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index 83d687af..38a365c9 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -25,7 +25,7 @@ def start_axes(title):
 def update_axes(ax, mappable=None):
     ax.grid()
     if mappable:
-        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
 
 
 # %%
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8fb6c4f9..65b0deef 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -305,6 +305,9 @@ def __init__(
     def is_centered(self):
         """Give information if pixel is describe with center position or
         a corner
+
+        :return: True if centered
+        :rtype: bool
         """
         if self.centered is None:
             return True
@@ -312,7 +315,7 @@ def is_centered(self):
             return self.centered
 
     def load_general_features(self):
-        """Load attrs
+        """Load attrs to  be store in object
         """
         logger.debug(
             "Load general feature from %(filename)s", dict(filename=self.filename)
@@ -340,6 +343,8 @@ def load_general_features(self):
 
     def write(self, filename):
         """Write dataset output with same format like input
+
+        :param str filename: filename which will be used to save grid
         """
         with Dataset(filename, "w") as h_out:
             for dimension, size in self.dimensions.items():
@@ -373,7 +378,9 @@ def write(self, filename):
                 setattr(h_out, attr, value)
 
     def load(self):
-        """Load variable (data)
+        """
+        Load variable (data).
+        Get coordinates and setup coordinates function
         """
         x_name, y_name = self.coordinates
         with Dataset(self.filename) as h:
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 0cf7adb5..43fb2b34 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 9771d322..7a565bba 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
@@ -46,6 +45,12 @@
 
 @njit(cache=True)
 def reverse_index(index, nb):
+    """
+    :param array index: index of group which will be set to False
+    :param array nb: Count for each group
+    :return: mask of value selected
+    :rtype: array
+    """
     m = ones(nb, dtype=numba_types.bool_)
     for i in index:
         m[i] = False
@@ -55,6 +60,10 @@ def reverse_index(index, nb):
 @njit(cache=True)
 def build_index(groups):
     """We expected that variable is monotonous, and return index for each step change
+
+    :param array groups: array which contain group to be separated
+    :return: (first_index of each group, last_index of each group, value to shift group)
+    :rtype: (array, array, int)
     """
     i0, i1 = groups.min(), groups.max()
     amplitude = i1 - i0 + 1
@@ -75,12 +84,13 @@ def build_index(groups):
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
-    :param lon0:
-    :param lat0:
-    :param lon1:
-    :param lat1:
+    :param array lon0:
+    :param array lat0:
+    :param array lon1:
+    :param array lat1:
 
     :return: nan value for far away point, and km for other
+    :rtype: array
     """
     nb_0 = lon0.shape[0]
     nb_1 = lon1.shape[0]
@@ -109,6 +119,16 @@ def distance_grid(lon0, lat0, lon1, lat1):
 
 @njit(cache=True, fastmath=True)
 def distance(lon0, lat0, lon1, lat1):
+    """
+    Compute distance between points from each line
+
+    :param float lon0:
+    :param float lat0:
+    :param float lon1:
+    :param float lat1:
+    :return: distance (in m)
+    :rtype: array
+    """
     D2R = pi / 180.0
     sin_dlat = sin((lat1 - lat0) * 0.5 * D2R)
     sin_dlon = sin((lon1 - lon0) * 0.5 * D2R)
@@ -118,31 +138,21 @@ def distance(lon0, lat0, lon1, lat1):
     return 6370997.0 * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
 
 
-@njit(cache=True)
-def distance_vincenty(lon0, lat0, lon1, lat1):
-    """ better than haversine but buggy ??"""
-    D2R = pi / 180.0
-    dlon = (lon1 - lon0) * D2R
-    cos_dlon = cos(dlon)
-    cos_lat1 = cos(lat0 * D2R)
-    cos_lat2 = cos(lat1 * D2R)
-    sin_lat1 = sin(lat0 * D2R)
-    sin_lat2 = sin(lat1 * D2R)
-    return 6370997.0 * arctan2(
-        (
-            (cos_lat2 * sin(dlon) ** 2)
-            + (cos_lat1 * sin_lat2 - sin_lat1 * cos_lat2 * cos_dlon) ** 2
-        )
-        ** 0.5,
-        sin_lat1 * sin_lat2 + cos_lat1 * cos_lat2 * cos_dlon,
-    )
-
-
 @njit(cache=True, fastmath=True)
 def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
-    """For geographic grid, test of cicularity
-    Maybe test if we are out of bounds
     """
+    For geographic grid, test of cicularity
+
+    :param array x_g: coordinates of grid
+    :param array y_g: coordinates of grid
+    :param array z_g: Grid value
+    :param array m_g: Boolean grid, True if value is masked
+    :param array x: coordinate where interpolate z
+    :param array y: coordinate where interpolate z
+    :return: z interpolated
+    :rtype: array
+    """
+    # TODO : Maybe test if we are out of bounds
     x_ref = x_g[0]
     y_ref = y_g[0]
     x_step = x_g[1] - x_ref
@@ -175,25 +185,6 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     return z
 
 
-@njit(cache=True, fastmath=True, parallel=False)
-def custom_convolution(data, mask, kernel):
-    """do sortin at high lattitude big part of value are masked"""
-    nb_x = kernel.shape[0]
-    demi_x = int((nb_x - 1) / 2)
-    demi_y = int((kernel.shape[1] - 1) / 2)
-    out = empty(data.shape[0] - nb_x + 1)
-    for i in prange(out.shape[0]):
-        if mask[i + demi_x, demi_y] == 1:
-            w = (mask[i : i + nb_x] * kernel).sum()
-            if w != 0:
-                out[i] = (data[i : i + nb_x] * kernel).sum() / w
-            else:
-                out[i] = nan
-        else:
-            out[i] = nan
-    return out
-
-
 @njit(cache=True, fastmath=True)
 def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     """
@@ -225,8 +216,8 @@ def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
 def flatten_line_matrix(l_matrix):
     """
     Flat matrix and add on between each line
-    :param l_matrix: matrix of position
 
+    :param l_matrix: matrix of position
     :return: array with nan between line
     """
     nb_line, sampling = l_matrix.shape
@@ -244,6 +235,15 @@ def flatten_line_matrix(l_matrix):
 
 @njit(cache=True)
 def simplify(x, y, precision=0.1):
+    """
+    Will remove all middle point which are closer than precision
+
+    :param array x:
+    :param array y:
+    :param float precision: if two points have distance inferior to precision with remove next point
+    :return: (x,y)
+    :rtype: (array,array)
+    """
     precision2 = precision ** 2
     nb = x.shape[0]
     x_previous, y_previous = x[0], y[0]
@@ -277,6 +277,7 @@ def simplify(x, y, precision=0.1):
 def split_line(x, y, i):
     """
     Split x and y at each i change
+
     :param x: array
     :param y: array
     :param i: array of int at each i change, we cut x, y
@@ -302,6 +303,16 @@ def split_line(x, y, i):
 
 @njit(cache=True)
 def wrap_longitude(x, y, ref, cut=False):
+    """
+    Will wrap contiguous longitude with reference like west bound
+
+    :param array x:
+    :param array y:
+    :param float ref: longitude of reference, all the new value will be between ref and ref + 360
+    :param bool cut: if True line will be cut at the bounds
+    :return: lon,lat
+    :rtype: (array,array)
+    """
     if cut:
         indexs = list()
         nb = x.shape[0]
@@ -348,6 +359,16 @@ def wrap_longitude(x, y, ref, cut=False):
 
 @njit(cache=True, fastmath=True)
 def coordinates_to_local(lon, lat, lon0, lat0):
+    """
+    Take latlong coordinates to transform in local coordinates (in m)
+
+    :param array x: coordinates to transform
+    :param array y: coordinates to transform
+    :param float lon0: longitude of local reference
+    :param float lat0: latitude of local reference
+    :return: x,y
+    :retype: (array, array)
+    """
     D2R = pi / 180.0
     R = 6370997
     dlon = (lon - lon0) * D2R
@@ -367,6 +388,16 @@ def coordinates_to_local(lon, lat, lon0, lat0):
 
 @njit(cache=True, fastmath=True)
 def local_to_coordinates(x, y, lon0, lat0):
+    """
+    Take local coordinates (in m) to transform to latlong
+
+    :param array x: coordinates to transform
+    :param array y: coordinates to transform
+    :param float lon0: longitude of local reference
+    :param float lat0: latitude of local reference
+    :return: lon,lat
+    :retype: (array, array)
+    """
     D2R = pi / 180.0
     R = 6370997
     d = (x ** 2 + y ** 2) ** 0.5 / R
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ffc95d84..9ffddbe6 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 4448c9d5..534bba96 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 98b96424..44c67441 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify

From 9a7f952e23fa4debf0bc485b49121e0dd9296532 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 21 Sep 2020 15:04:49 +0200
Subject: [PATCH 097/441] Add plot to docstring

---
 doc/conf.py                    |  2 ++
 src/py_eddy_tracker/generic.py | 16 ++++++++++++++++
 src/py_eddy_tracker/poly.py    | 18 +++++++++++++++++-
 3 files changed, 35 insertions(+), 1 deletion(-)

diff --git a/doc/conf.py b/doc/conf.py
index 4e27905e..55011445 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -36,6 +36,8 @@
     "sphinx.ext.intersphinx",
     "sphinx.ext.viewcode",
     "sphinx_gallery.gen_gallery",
+    "matplotlib.sphinxext.plot_directive",
+
 ]
 
 autoclass_content = 'both'
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 7a565bba..4ccacb1e 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -38,6 +38,7 @@
     isnan,
     bool_,
     concatenate,
+    radians,
 )
 from numba import njit, prange, types as numba_types
 from .poly import winding_number_grid_in_poly
@@ -497,3 +498,18 @@ def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
             y_start,
             vertices,
         )
+
+
+def build_circle(x0, y0, r):
+    """
+    Method to built circle from center coordinates
+
+    :param float x0: center coordinate
+    :param float y0: center coordinate
+    :param float r: radius i meter
+    :return: x,y
+    :rtype: (array,array)
+    """
+    angle = radians(linspace(0, 360, 50))
+    x_norm, y_norm = cos(angle), sin(angle)
+    return x_norm * r + x0, y_norm * r + y0
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 44c67441..25d7ed5b 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -382,8 +382,24 @@ def fit_circle_(x, y):
     :param array y: y of polygon
     :return: x0, y0, radius, shape_error
     :rtype: (float,float,float,float)
+
+    .. plot::
+
+        import matplotlib.pyplot as plt
+        import numpy as np
+        from py_eddy_tracker.poly import fit_circle_
+        from py_eddy_tracker.generic import build_circle
+        V = np.array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)), dtype='f4')
+        x0, y0, radius, err = fit_circle_(V[0], V[1])
+        ax = plt.subplot(111)
+        ax.set_aspect('equal')
+        ax.grid(True)
+        ax.plot(*build_circle(x0,y0, radius), 'r')
+        ax.plot(x0, y0, 'r+')
+        ax.plot(*V, 'b.')
+        plt.show()
     """
-    datas = ones((x.shape[0] - 1, 3))
+    datas = ones((x.shape[0] - 1, 3), dtype=x.dtype)
     # we skip first position which are the same than the last
     datas[:, 0] = x[1:]
     datas[:, 1] = y[1:]

From 23cc80b7d8b47ea6094c294e72cf6bfea070d1eb Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 21 Sep 2020 16:43:47 +0200
Subject: [PATCH 098/441] display code of docstring

---
 doc/conf.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 55011445..f1da6f48 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -37,10 +37,10 @@
     "sphinx.ext.viewcode",
     "sphinx_gallery.gen_gallery",
     "matplotlib.sphinxext.plot_directive",
-
 ]
 
-autoclass_content = 'both'
+# autodoc conf
+autoclass_content = "both"
 
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
@@ -60,6 +60,9 @@
     },
 }
 
+# matplotlib conf
+plot_include_source = True
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = [".templates"]
 

From 50885c2f95eeaea841fa4a9608da6d5f786fed8d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 22 Sep 2020 09:26:30 +0200
Subject: [PATCH 099/441] Add example to compare radius and area

---
 .../pet_filter_and_detection.py               |   4 +-
 .../pet_radius_vs_area.py                     |  49 ++++++++
 .../pet_filter_and_detection.ipynb            |  12 +-
 .../pet_radius_vs_area.ipynb                  | 115 ++++++++++++++++++
 src/py_eddy_tracker/poly.py                   |   2 +
 5 files changed, 174 insertions(+), 8 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_radius_vs_area.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index a329d603..ce064dc4 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -58,8 +58,8 @@ def update_axes(ax, mappable=None):
 # Parameters distribution
 # -----------------------
 fig = plt.figure(figsize=(12, 5))
-ax_a = plt.subplot(121, xlabel="amplitdue(cm)")
-ax_r = plt.subplot(122, xlabel="speed radius (km)")
+ax_a = fig.add_subplot(121, xlabel="amplitdue(cm)")
+ax_r = fig.add_subplot(122, xlabel="speed radius (km)")
 ax_a.hist(
     merge_f["amplitude"] * 100,
     bins=arange(0.0005, 100, 1),
diff --git a/examples/02_eddy_identification/pet_radius_vs_area.py b/examples/02_eddy_identification/pet_radius_vs_area.py
new file mode 100644
index 00000000..a6c6c739
--- /dev/null
+++ b/examples/02_eddy_identification/pet_radius_vs_area.py
@@ -0,0 +1,49 @@
+"""
+Radius vs area
+==============
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker import data
+
+from py_eddy_tracker.poly import poly_area
+from py_eddy_tracker.generic import coordinates_to_local
+from numpy import pi, array
+
+
+# %%
+# Load detection files
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+areas = list()
+# For each contour area will be compute in local reference
+for i in a:
+    x, y = coordinates_to_local(
+        i["contour_lon_s"], i["contour_lat_s"], i["lon"], i["lat"]
+    )
+    areas.append(poly_area(x, y))
+areas = array(areas)
+
+# %%
+# Radius provided by eddy detection is computed with :func:`~py_eddy_tracker.poly.fit_circle` method.
+# This radius will be compared with an equivalent radius deduced from polygon area.
+ax = plt.subplot(111)
+ax.set_aspect("equal")
+ax.grid()
+ax.set_xlabel("Speed radius computed with fit_circle")
+ax.set_ylabel("Radius deduced from area\nof contour_lon_s/contour_lat_s")
+ax.set_title('Area vs radius')
+ax.plot(a["radius_s"] / 1000.0, (areas / pi) ** 0.5 / 1000.0, ".")
+ax.plot((0, 250), (0, 250), "r")
+
+# %%
+# Fit circle give a radius bigger than polygon area
+
+# %%
+# When error is tiny, radius are very close.
+ax = plt.subplot(111)
+ax.grid()
+ax.set_xlabel("Radius ratio")
+ax.set_ylabel("Shape error")
+ax.set_title("err = f(radius_ratio)")
+ax.plot(a["radius_s"] / (areas / pi) ** .5 , a['shape_error_s'], ".")
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 34c15b95..e668254b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nEddy detection and filter\n=========================\n"
+        "\n# Eddy detection and filter\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Parameters distribution\n-----------------------\n\n"
+        "## Parameters distribution\n\n"
       ]
     },
     {
@@ -109,14 +109,14 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax_a = plt.subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = plt.subplot(122, xlabel=\"speed radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax_a = fig.add_subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = fig.add_subplot(122, xlabel=\"speed radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Match detection and compare\n---------------------------\n\n"
+        "## Match detection and compare\n\n"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "i_, j_, c = merge_f.match(merge_r, 0.1)"
+        "i_, j_, c = merge_f.match(merge_r, cmin=0.1)"
       ]
     },
     {
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.0"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
new file mode 100644
index 00000000..ab2f4f78
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -0,0 +1,115 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Radius vs area\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\n\nfrom py_eddy_tracker.poly import poly_area\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom numpy import pi, array"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nareas = list()\n# For each contour area will be compute in local reference\nfor i in a:\n    x, y = coordinates_to_local(\n        i[\"contour_lon_s\"], i[\"contour_lat_s\"], i[\"lon\"], i[\"lat\"]\n    )\n    areas.append(poly_area(x, y))\nareas = array(areas)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Radius provided by eddy detection is computed with :func:`~py_eddy_tracker.poly.fit_circle` method.\nThis radius will be compared with an equivalent radius deduced from polygon area.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = plt.subplot(111)\nax.set_aspect(\"equal\")\nax.grid()\nax.set_xlabel(\"Speed radius computed with fit_circle\")\nax.set_ylabel(\"Radius deduced from area\\nof contour_lon_s/contour_lat_s\")\nax.set_title('Area vs radius')\nax.plot(a[\"radius_s\"] / 1000.0, (areas / pi) ** 0.5 / 1000.0, \".\")\nax.plot((0, 250), (0, 250), \"r\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Fit circle give a radius bigger than polygon area\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "When error is tiny, radius are very close.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = plt.subplot(111)\nax.grid()\nax.set_xlabel(\"Radius ratio\")\nax.set_ylabel(\"Shape error\")\nax.set_title(\"err = f(radius_ratio)\")\nax.plot(a[\"radius_s\"] / (areas / pi) ** .5 , a['shape_error_s'], \".\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.0"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 25d7ed5b..63f3c0a7 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -86,6 +86,8 @@ def poly_area_vertice(v):
 @njit(cache=True)
 def poly_area(x, y):
     """
+    Must be call with local coordinates (in m, to get an area in m²)
+
     :param array x:
     :param array y:
     :return: area of polygon in coordinates unit

From ffcade024dbc6d66c46e442b5422ded7809a82ab Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 22 Sep 2020 15:20:15 +0200
Subject: [PATCH 100/441] Add area of contour field on eddy detection

---
 src/py_eddy_tracker/__init__.py               | 22 +++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  6 +++++
 .../observations/observation.py               |  2 ++
 3 files changed, 30 insertions(+)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 5897c46a..b3d5939f 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -235,6 +235,28 @@ def parse_args(self, *args, **kwargs):
             "the eddy and the SSH around the effective contour defining the eddy edge",
         ),
     ),
+    speed_area=dict(
+        attr_name="speed_area",
+        nc_name="speed_area",
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Speed area",
+            units="m^2",
+            comment="Area enclosed by speed contour in m^2",
+        ),
+    ),
+    effective_area=dict(
+        attr_name="effective_area",
+        nc_name="effective_area",
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Effective area",
+            units="m^2",
+            comment="Area enclosed by effective contour in m^2",
+        ),
+    ),
     speed_average=dict(
         attr_name="speed_average",
         scale_factor=0.0001,
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 65b0deef..866fd89e 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -819,6 +819,12 @@ def eddy_identification(
                     obs.obs["radius_e"] = eddy_radius_e
                     obs.obs["shape_error_e"] = aerr_e
                     obs.obs["shape_error_s"] = aerr_s
+                    obs.obs["speed_area"] = poly_area(
+                        *coordinates_to_local(*xy_s, lon0=centlon_s, lat0=centlat_s)
+                    )
+                    obs.obs["effective_area"] = poly_area(
+                        *coordinates_to_local(*xy_e, lon0=centlon_s, lat0=centlat_s)
+                    )
                     obs.obs["lon"] = centlon_s
                     obs.obs["lat"] = centlat_s
                     obs.obs["lon_max"] = centlon_i
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 9ffddbe6..2c910659 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -138,6 +138,8 @@ class EddiesObservations(object):
         "time",
         "shape_error_e",
         "shape_error_s",
+        "speed_area",
+        "effective_area",
         "nb_contour_selected",
         "num_point_e",
         "num_point_s",

From 14f0b1701a7766fe1382e55884f0e8fb072067b1 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 22 Sep 2020 23:03:00 +0200
Subject: [PATCH 101/441] add a bug report template

---
 .github/ISSUE_TEMPLATE/bug-report.md | 40 ++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/bug-report.md

diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md
new file mode 100644
index 00000000..1646f8cf
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug-report.md
@@ -0,0 +1,40 @@
+---
+name: Bug report
+about: Describe this issue template's purpose here.
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+<!--Feel free to delete the sections that do not apply.-->
+
+### Bug report
+
+**Bug summary**
+
+<!--A short 1-2 sentences that succinctly describes the bug-->
+
+**Code for reproduction**
+
+<!--A minimum code snippet required to reproduce the bug.
+Please make sure to minimize the number of dependencies required, and provide
+any necessary data-->
+
+```python
+# Paste your code here
+#
+#
+```
+
+**Actual outcome**
+
+```
+# If applicable, paste the console output here
+#
+#
+```
+
+**Expected outcome**
+
+<!--A description of the expected outcome from the code snippet-->

From 8073c07eec30a17d4a2652a8ce219dec64b6cc05 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 23 Sep 2020 09:37:01 +0200
Subject: [PATCH 102/441] add more issues template

---
 .github/ISSUE_TEMPLATE/bug-report.md |  7 ++-----
 .github/ISSUE_TEMPLATE/questions.md  | 13 +++++++++++++
 2 files changed, 15 insertions(+), 5 deletions(-)
 create mode 100644 .github/ISSUE_TEMPLATE/questions.md

diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md
index 1646f8cf..5d77d4ca 100644
--- a/.github/ISSUE_TEMPLATE/bug-report.md
+++ b/.github/ISSUE_TEMPLATE/bug-report.md
@@ -1,10 +1,7 @@
 ---
 name: Bug report
-about: Describe this issue template's purpose here.
-title: ''
-labels: ''
-assignees: ''
-
+about: Report a bug or issue with py_eddy_tracker.
+# This template is based on the matplotlib template
 ---
 
 <!--Feel free to delete the sections that do not apply.-->
diff --git a/.github/ISSUE_TEMPLATE/questions.md b/.github/ISSUE_TEMPLATE/questions.md
new file mode 100644
index 00000000..ae684376
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/questions.md
@@ -0,0 +1,13 @@
+---
+name: Questions
+about: If you have a usage question
+# This template is based on the matplotlib template
+---
+
+<!--
+Please first take a look at documentation : https://py-eddy-tracker.readthedocs.io/en/latest/
+If you need to know how run identification : https://py-eddy-tracker.readthedocs.io/en/latest/grid_identification.html
+If you need to know how run a basic tracking : https://py-eddy-tracker.readthedocs.io/en/latest/run_tracking.html
+
+If you need examples of use : https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html
+-->

From 837fa1a8f244a5bd1de397099ed50bd269d982b3 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 23 Sep 2020 16:39:20 +0200
Subject: [PATCH 103/441] Add EddyInfos to have some quick stat

---
 setup.py                                      |  1 +
 src/py_eddy_tracker/appli/eddies.py           | 18 +++++
 .../observations/observation.py               | 71 ++++++++++++++++++-
 src/py_eddy_tracker/observations/tracking.py  |  8 ---
 4 files changed, 89 insertions(+), 9 deletions(-)

diff --git a/setup.py b/setup.py
index 80aa0e53..d6c13123 100644
--- a/setup.py
+++ b/setup.py
@@ -40,6 +40,7 @@
             "EddyId = py_eddy_tracker.appli.grid:eddy_id",
             # eddies
             "MergeEddies = py_eddy_tracker.appli.eddies:merge_eddies",
+            "EddyInfos = py_eddy_tracker.appli.eddies:display_infos",
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index c750792f..50a2dd66 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -23,6 +23,7 @@
 from netCDF4 import Dataset
 from .. import EddyParser
 from ..observations.tracking import TrackEddiesObservations
+from ..observations.observation import EddiesObservations
 
 
 def merge_eddies():
@@ -54,3 +55,20 @@ def merge_eddies():
             other = other.add_rotation_type()
         obs = obs.merge(other)
     obs.write_file(filename=args.out)
+
+
+def display_infos():
+    parser = EddyParser("Display General inforamtion")
+    parser.add_argument("observations", nargs='+', help="Input observations to compute frequency")
+    args = parser.parse_args()
+    array_vars = [
+        "speed_contour_longitude",
+        "speed_contour_latitude",
+        "effective_contour_longitude",
+        "effective_contour_latitude",
+        "uavg_profile",
+    ]
+    for filename in args.observations:
+        print(f"-- {filename} --")
+        e = EddiesObservations.load_file(filename, remove_vars=array_vars)
+        print(e.__repr__())
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 2c910659..ed8c124e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -199,7 +199,66 @@ def shape(self):
         return self.observations.shape
 
     def __repr__(self):
-        return "%d observations" % len(self.observations)
+        """
+        return general informations on dataset as a string
+
+        :return: informations on datasets
+        :rtype: str
+        """
+        t0, t1 = self.period
+        period = t1 - t0 + 1
+        bins_lat = (-90, -60, -15, 15, 60, 90)
+        bins_amplitude = array((0, 1, 2, 3, 4, 5, 10, 500))
+        bins_radius = array((0, 15, 30, 45, 60, 75, 100, 200, 2000))
+        nb_obs = self.observations.shape[0]
+
+        def hist(varname, x="lat", bins=bins_lat, percent=False, mean=False, nb=False):
+            """
+            :param str varname: variable to use to compute stat
+            :param str x: variable to use to know in which bins
+            :param array bins:
+            :param bool percent: normalize by sum of all bins
+            :param bool mean: compute mean by bins
+            :param nb mean: only count by bins
+            :return: value by bins
+            :rtype: array
+            """
+            if nb:
+                v = histogram(self[x], bins=bins)[0]
+            else:
+                v = histogram(self[x], bins=bins, weights=self[varname])[0]
+            if percent:
+                v = v.astype("f4") / v.sum() * 100
+            elif mean:
+                v /= histogram(self[x], bins=bins)[0]
+            return v
+
+        def box_display(value):
+            """Return value evenly spaced with few numbers"""
+            return "".join([f"{v_:10.2f}" for v_ in value])
+
+        return f"""{nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
+    Speed area      : {self["speed_area"].sum() / period / 1e12:.2f} Mkm²/day
+    Effective area  : {self["effective_area"].sum() / period / 1e12:.2f} Mkm²/day
+
+    Distribution in Amplitude:
+    Amplitude bounds (cm)  {box_display(bins_amplitude)}
+    Percent of eddies         : {box_display(hist('time', 'amplitude', bins_amplitude / 100., percent=True, nb=True))}
+
+    Distribution in Radius:
+    Speed radius (km)      {box_display(bins_radius)}
+    Percent of eddies         : {box_display(hist('time', 'radius_s', bins_radius * 1000., percent=True, nb=True))}
+
+    Distribution in Latitude
+    Latitude bounds        {box_display(bins_lat)}
+    Percent of eddies         : {box_display(hist('time', percent=True, nb=True))}
+    Percent of speed area     : {box_display(hist('speed_area', percent=True))}
+    Percent of effective area : {box_display(hist('effective_area', percent=True))}
+
+    Mean speed radius (km)    : {box_display(hist('radius_s', mean=True) / 1000.)}
+    Mean effective radius (km): {box_display(hist('radius_e', mean=True) / 1000.)}
+    Mean amplitude (cm)       : {box_display(hist('amplitude', mean=True) * 100.)}
+"""
 
     def __getitem__(self, attr):
         if attr in self.elements:
@@ -1366,6 +1425,16 @@ def interp_grid(
         else:
             raise Exception(f'method "{method}" unknown')
 
+    @property
+    def period(self):
+        """
+        Give time coverage
+
+        :return: first and last date
+        :rtype: (int,int)
+        """
+        return self.time.min(), self.time.max()
+
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 534bba96..d90d6eed 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -192,14 +192,6 @@ def extract_with_period(self, period, **kwargs):
             mask *= self.time <= (dataset_period[1] + p_max)
         return self.__extract_with_mask(mask, **kwargs)
 
-    @property
-    def period(self):
-        """
-        Give time coverage
-        Returns: 2 date
-        """
-        return self.time.min(), self.time.max()
-
     def get_mask_from_id(self, tracks):
         mask = zeros(self.tracks.shape, dtype=bool_)
         compute_mask_from_id(tracks, self.index_from_track, self.nb_obs_by_track, mask)

From d6f954a99335054c9533f89edbe4752bdf88b5eb Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 23 Sep 2020 16:40:04 +0200
Subject: [PATCH 104/441] Add an entry to produce grid of frequency

---
 setup.py                                      |  1 +
 src/py_eddy_tracker/appli/eddies.py           | 31 +++++++++++++++++++
 src/py_eddy_tracker/appli/gui.py              |  2 +-
 src/py_eddy_tracker/dataset/grid.py           |  3 +-
 .../observations/observation.py               |  9 +++++-
 5 files changed, 43 insertions(+), 3 deletions(-)

diff --git a/setup.py b/setup.py
index d6c13123..d47ce8d9 100644
--- a/setup.py
+++ b/setup.py
@@ -40,6 +40,7 @@
             "EddyId = py_eddy_tracker.appli.grid:eddy_id",
             # eddies
             "MergeEddies = py_eddy_tracker.appli.eddies:merge_eddies",
+            "EddyFrequency = py_eddy_tracker.appli.eddies:get_frequency_grid",
             "EddyInfos = py_eddy_tracker.appli.eddies:display_infos",
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 50a2dd66..316f8cc9 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -57,6 +57,37 @@ def merge_eddies():
     obs.write_file(filename=args.out)
 
 
+def get_frequency_grid():
+    parser = EddyParser("Compute eddy frequency")
+    parser.add_argument("observations", help="Input observations to compute frequency")
+    parser.add_argument("out", help="Grid output file")
+    parser.add_argument(
+        "--intern",
+        help="Use speed contour instead of effective contour",
+        action="store_true",
+    )
+    parser.add_argument(
+        "--xrange", nargs="+", type=float, help="Horizontal range : START,STOP,STEP"
+    )
+    parser.add_argument(
+        "--yrange", nargs="+", type=float, help="Vertical range : START,STOP,STEP"
+    )
+    args = parser.parse_args()
+
+    if (args.xrange is None or len(args.xrange) not in (3,)) or (
+        args.yrange is None or len(args.yrange) not in (3,)
+    ):
+        raise Exception("Use START/STOP/STEP for --xrange and --yrange")
+
+    var_to_load = ["longitude"]
+    var_to_load.extend(EddiesObservations.intern(args.intern, public_label=True))
+    e = EddiesObservations.load_file(args.observations, include_vars=var_to_load)
+
+    bins = args.xrange, args.yrange
+    g = e.grid_count(bins, intern=args.intern)
+    g.write(args.out)
+
+
 def display_infos():
     parser = EddyParser("Display General inforamtion")
     parser.add_argument("observations", nargs='+', help="Input observations to compute frequency")
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 996f43fe..6ca606cd 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -109,7 +109,7 @@ def prev(self):
         return self.draw_contour()
 
     def draw_contour(self):
-        t0, t1 = self.period
+        # t0, t1 = self.period
         # select contour for this time step
         m = self.t == self.now
         self.ax.figure.canvas.restore_region(self.bg_cache)
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 866fd89e..7cfeefb6 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -584,7 +584,8 @@ def eddy_identification(
         :param float,int step: Height between two layers in m
         :param float,int shape_error: Maximal error allow for outter contour in %
         :param int sampling: Sampling of contour and speed profile
-        :param (int,int),None pixel_limit: Min and max of pixel which must be inside inner and outer contour to be considered like an eddy
+        :param (int,int),None pixel_limit:
+            Min and max of pixel which must be inside inner and outer contour to be considered like an eddy
         :param float,None precision: Truncate value at the defined precision in m
         :param str force_height_unit: Unit to used for height unit
         :param str force_speed_unit: Unit to used for speed unit
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ed8c124e..88f3b74a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -49,6 +49,7 @@
     histogram2d,
     linspace,
     sin,
+    histogram,
 )
 from netCDF4 import Dataset
 from datetime import datetime
@@ -1359,6 +1360,7 @@ def grid_count(self, bins, intern=False, center=False):
             ),
             centered=True,
         )
+        debug_active = logger.getEffectiveLevel() == logging.DEBUG
         if center:
             x, y = (self.longitude - x0) % 360 + x0, self.latitude
             grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
@@ -1366,9 +1368,14 @@ def grid_count(self, bins, intern=False, center=False):
         else:
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
             x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
-            for x_, y_ in zip(x, y):
+            nb = x_ref.shape[0]
+            for i_, (x_, y_) in enumerate(zip(x, y)):
+                if debug_active and i_ % 10000 == 0:
+                    print(f"{i_}/{nb}", end="\r")
                 i, j = BasePath(create_vertice(x_, y_)).pixels_in(regular_grid)
                 grid_count_(grid, i, j)
+            if debug_active:
+                print()
             grid.mask = grid == 0
         return regular_grid
 

From b569aeec4e14d7c26e8142177db175af41029f50 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 24 Sep 2020 15:04:51 +0200
Subject: [PATCH 105/441] Get a more compact and quicker display status of
 observations files

---
 src/py_eddy_tracker/appli/eddies.py           | 22 ++++++----
 .../observations/observation.py               | 43 +++++++++++++------
 2 files changed, 43 insertions(+), 22 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 316f8cc9..7e2adaa7 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -90,16 +90,20 @@ def get_frequency_grid():
 
 def display_infos():
     parser = EddyParser("Display General inforamtion")
-    parser.add_argument("observations", nargs='+', help="Input observations to compute frequency")
+    parser.add_argument(
+        "observations", nargs="+", help="Input observations to compute frequency"
+    )
     args = parser.parse_args()
-    array_vars = [
-        "speed_contour_longitude",
-        "speed_contour_latitude",
-        "effective_contour_longitude",
-        "effective_contour_latitude",
-        "uavg_profile",
+    vars = [
+        "amplitude",
+        "speed_radius",
+        "speed_area",
+        "effective_radius",
+        "effective_area",
+        "time",
+        "latitude",
     ]
     for filename in args.observations:
         print(f"-- {filename} --")
-        e = EddiesObservations.load_file(filename, remove_vars=array_vars)
-        print(e.__repr__())
+        e = EddiesObservations.load_file(filename, include_vars=vars)
+        print(e)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 88f3b74a..bc4a3e7f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -112,6 +112,11 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
     return m
 
 
+@njit(cache=True)
+def hist_numba(x, bins):
+    return histogram(x, bins)
+
+
 class EddiesObservations(object):
     """
     Class to hold eddy properties *amplitude* and counts of
@@ -199,6 +204,22 @@ def sign_legend(self):
     def shape(self):
         return self.observations.shape
 
+    def get_infos(self):
+        infos = dict(
+            bins_lat=(-90, -60, -15, 15, 60, 90),
+            bins_amplitude=array((0, 1, 2, 3, 4, 5, 10, 500)),
+            bins_radius=array((0, 15, 30, 45, 60, 75, 100, 200, 2000)),
+            nb_obs=self.observations.shape[0],
+        )
+        t0, t1 = self.period
+        infos["t0"], infos["t1"] = t0, t1
+        infos["period"] = t1 - t0 + 1
+        return infos
+
+    def _repr_html_(self):
+        infos = self.get_infos()
+        return f"""<b>{infos['nb_obs']} observations from {infos['t0']} to {infos['t1']} </b>"""
+
     def __repr__(self):
         """
         return general informations on dataset as a string
@@ -225,13 +246,13 @@ def hist(varname, x="lat", bins=bins_lat, percent=False, mean=False, nb=False):
             :rtype: array
             """
             if nb:
-                v = histogram(self[x], bins=bins)[0]
+                v = hist_numba(self[x], bins=bins)[0]
             else:
                 v = histogram(self[x], bins=bins, weights=self[varname])[0]
             if percent:
                 v = v.astype("f4") / v.sum() * 100
             elif mean:
-                v /= histogram(self[x], bins=bins)[0]
+                v /= hist_numba(self[x], bins=bins)[0]
             return v
 
         def box_display(value):
@@ -241,25 +262,20 @@ def box_display(value):
         return f"""{nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
     Speed area      : {self["speed_area"].sum() / period / 1e12:.2f} Mkm²/day
     Effective area  : {self["effective_area"].sum() / period / 1e12:.2f} Mkm²/day
-
-    Distribution in Amplitude:
+----Distribution in Amplitude:
     Amplitude bounds (cm)  {box_display(bins_amplitude)}
     Percent of eddies         : {box_display(hist('time', 'amplitude', bins_amplitude / 100., percent=True, nb=True))}
-
-    Distribution in Radius:
+----Distribution in Radius:
     Speed radius (km)      {box_display(bins_radius)}
     Percent of eddies         : {box_display(hist('time', 'radius_s', bins_radius * 1000., percent=True, nb=True))}
-
-    Distribution in Latitude
+----Distribution in Latitude
     Latitude bounds        {box_display(bins_lat)}
     Percent of eddies         : {box_display(hist('time', percent=True, nb=True))}
     Percent of speed area     : {box_display(hist('speed_area', percent=True))}
     Percent of effective area : {box_display(hist('effective_area', percent=True))}
-
     Mean speed radius (km)    : {box_display(hist('radius_s', mean=True) / 1000.)}
     Mean effective radius (km): {box_display(hist('radius_e', mean=True) / 1000.)}
-    Mean amplitude (cm)       : {box_display(hist('amplitude', mean=True) * 100.)}
-"""
+    Mean amplitude (cm)       : {box_display(hist('amplitude', mean=True) * 100.)}"""
 
     def __getitem__(self, attr):
         if attr in self.elements:
@@ -1367,9 +1383,10 @@ def grid_count(self, bins, intern=False, center=False):
             grid.mask = grid.data == 0
         else:
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
-            x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
+            # x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             nb = x_ref.shape[0]
-            for i_, (x_, y_) in enumerate(zip(x, y)):
+            for i_, (x, y_) in enumerate(zip(self[x_name], self[y_name])):
+                x_ = (x - x_ref[i_]) % 360 + x_ref[i_]
                 if debug_active and i_ % 10000 == 0:
                     print(f"{i_}/{nb}", end="\r")
                 i, j = BasePath(create_vertice(x_, y_)).pixels_in(regular_grid)

From 02bc44db9696531b686afa485352d608327e3acb Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 24 Sep 2020 21:10:13 +0200
Subject: [PATCH 106/441] Add some information about tracking

---
 doc/run_tracking.rst | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 17621729..4903e16b 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -2,19 +2,26 @@
 Tracking
 ========
 
+Requirements
+************
+
+Before to run tracking, you will need to run identification on every time step of the period(Period of your study).
+
+**Advice** : Before to run tracking, display some identification file allow to learn a lot
 
 Default method
 **************
 
 To run a tracking just create an yaml file with minimal specification (*FILES_PATTERN* and *SAVE_DIR*).
+You will run tracking separately between Cyclonic eddies and Anticyclonic eddies.
 
-Example of yaml
+Example of conf.yaml
 
 .. code-block:: yaml
 
     PATHS:
       # Files produces with EddyIdentification
-      FILES_PATTERN: MY/IDENTIFICATION_PATH/Anticyclonic*.nc
+      FILES_PATTERN: MY_IDENTIFICATION_PATH/Anticyclonic*.nc
       SAVE_DIR: MY_OUTPUT_PATH
 
     # Number of timestep for missing detection
@@ -39,8 +46,8 @@ It will produce 4 files by run:
 
 - A file of correspondances which will contains all the information to merge all identifications file
 - A file which will contains all the observations which are alone
-- A file which will contains all the short track which are shorter than TRACK_DURATION_MIN
-- A file which will contains all the long track which are longer than TRACK_DURATION_MIN
+- A file which will contains all the short track which are shorter than **TRACK_DURATION_MIN**
+- A file which will contains all the long track which are longer than **TRACK_DURATION_MIN**
 
 
 Choose a tracker

From f2ab857f439696a31c1f40786645782095b4214a Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 24 Sep 2020 21:12:51 +0200
Subject: [PATCH 107/441] Apply flake8

---
 src/py_eddy_tracker/tracking.py      | 414 ++++++++++++++++-----------
 src/scripts/EddyFinalTracking        |  78 ++---
 src/scripts/EddyMergeCorrespondances |  18 +-
 src/scripts/EddySubSetter            | 162 +++++++----
 src/scripts/EddyTracking             |   4 +-
 src/scripts/EddyTranslate            |  22 +-
 src/scripts/GUIEddy                  |   2 +-
 7 files changed, 433 insertions(+), 267 deletions(-)

diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index b0d78191..3886983b 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -1,5 +1,4 @@
 # -*- coding: utf-8 -*-
-# -*- coding: utf-8 -*-
 """
 ===========================================================================
 This file is part of py-eddy-tracker.
@@ -23,10 +22,26 @@
 """
 
 from datetime import timedelta, datetime
-from py_eddy_tracker.observations.observation import EddiesObservations, VirtualEddiesObservations
+from py_eddy_tracker.observations.observation import (
+    EddiesObservations,
+    VirtualEddiesObservations,
+)
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from numpy import bool_, array, arange, ones, setdiff1d, zeros, uint16, where, empty, isin, unique, concatenate, \
-    ma
+from numpy import (
+    bool_,
+    array,
+    arange,
+    ones,
+    setdiff1d,
+    zeros,
+    uint16,
+    where,
+    empty,
+    isin,
+    unique,
+    concatenate,
+    ma,
+)
 from netCDF4 import Dataset, default_fillvals
 import logging
 import platform
@@ -50,24 +65,28 @@ class Correspondances(list):
     """Object to store correspondances
     And run tracking
     """
+
     UINT32_MAX = 4294967295
     # Prolongation limit to 255
-    VIRTUAL_DTYPE = 'u1'
+    VIRTUAL_DTYPE = "u1"
     # ID limit to 4294967295
-    ID_DTYPE = 'u4'
+    ID_DTYPE = "u4"
     # Track limit to 65535
-    N_DTYPE = 'u2'
+    N_DTYPE = "u2"
 
-    def __init__(self, datasets, virtual=0, class_method=None, previous_correspondance=None):
+    def __init__(
+        self, datasets, virtual=0, class_method=None, previous_correspondance=None
+    ):
         """Initiate tracking
         """
         super().__init__()
         # Correspondance dtype
-        self.correspondance_dtype = [('in', 'u2'),
-                                     ('out', 'u2'),
-                                     ('id', self.ID_DTYPE),
-                                     ('cost_value', 'f4')
-                                     ]
+        self.correspondance_dtype = [
+            ("in", "u2"),
+            ("out", "u2"),
+            ("id", self.ID_DTYPE),
+            ("cost_value", "f4"),
+        ]
         if class_method is None:
             self.class_method = EddiesObservations
         else:
@@ -93,15 +112,18 @@ def __init__(self, datasets, virtual=0, class_method=None, previous_correspondan
 
         # Correspondance to prolongate
         self.filename_previous_correspondance = previous_correspondance
-        self.previous_correspondance = self.load_compatible(self.filename_previous_correspondance)
+        self.previous_correspondance = self.load_compatible(
+            self.filename_previous_correspondance
+        )
 
         if self.virtual:
             # Add field to dtype to follow virtual observations
             self.correspondance_dtype += [
                 # True if it isn't a real obs
-                ('virtual', bool_),
+                ("virtual", bool_),
                 # Length of virtual segment
-                ('virtual_length', self.VIRTUAL_DTYPE)]
+                ("virtual_length", self.VIRTUAL_DTYPE),
+            ]
 
         # Array to simply merged
         self.nb_obs_by_tracks = None
@@ -114,14 +136,15 @@ def _copy(self):
             datasets=self.datasets,
             virtual=self.nb_virtual,
             class_method=self.class_method,
-            previous_correspondance=self.filename_previous_correspondance)
+            previous_correspondance=self.filename_previous_correspondance,
+        )
         for i in self:
             new.append(i)
         new.current_id = self.current_id
         new.nb_link_max = self.nb_link_max
         new.nb_obs = self.nb_obs
         new.prepare_merging()
-        logger.debug('Copy done')
+        logger.debug("Copy done")
         return new
 
     def reset_dataset_cache(self):
@@ -137,35 +160,37 @@ def period(self):
 
         """
         date_start = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[0]).obs['time'][0]))
+            int(self.class_method.load_file(self.datasets[0]).obs["time"][0])
+        )
         date_stop = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[-1]).obs['time'][0]))
+            int(self.class_method.load_file(self.datasets[-1]).obs["time"][0])
+        )
         return date_start, date_stop
 
-    def swap_dataset(self, dataset, raw_data=False):
+    def swap_dataset(self, dataset, *args, **kwargs):
         """ Swap to next dataset
         """
         self.previous2_obs = self.previous_obs
         self.previous_obs = self.current_obs
-        self.current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
+        self.current_obs = self.class_method.load_file(dataset, *args, **kwargs)
 
     def merge_correspondance(self, other):
         # Verify compliance of file
         if self.nb_virtual != other.nb_virtual:
-            raise Exception('Different method of tracking')
+            raise Exception("Different method of tracking")
         # Determine junction
         i = where(other.datasets == array(self.datasets[-1]))[0]
         if len(i) != 1:
-            raise Exception('More than one intersection')
+            raise Exception("More than one intersection")
 
         # Merge
         # Create a hash table
-        translate = empty(other.current_id, dtype='u4')
+        translate = empty(other.current_id, dtype="u4")
         translate[:] = self.UINT32_MAX
 
-        translate[other[i[0] - 1]['id']] = self[-1]['id']
+        translate[other[i[0] - 1]["id"]] = self[-1]["id"]
 
-        nb_max = other[i[0] - 1]['id'].max()
+        nb_max = other[i[0] - 1]["id"].max()
         mask = translate == self.UINT32_MAX
         # We won't translate previous id
         mask[:nb_max] = False
@@ -173,71 +198,76 @@ def merge_correspondance(self, other):
         translate[mask] = arange(mask.sum()) + self.current_id
 
         # Translate
-        for items in other[i[0]:]:
-            items['id'] = translate[items['id']]
+        for items in other[i[0] :]:
+            items["id"] = translate[items["id"]]
         # Extend with other obs
-        self.extend(other[i[0]:])
+        self.extend(other[i[0] :])
         # Extend datasets list, which are bounds so we add one
-        self.datasets.extend(other.datasets[i[0] + 1:])
+        self.datasets.extend(other.datasets[i[0] + 1 :])
         # We set new id available
         self.current_id = translate[-1] + 1
 
-    def store_correspondance(self, i_previous, i_current, nb_real_obs, association_cost):
+    def store_correspondance(
+        self, i_previous, i_current, nb_real_obs, association_cost
+    ):
         """Storing correspondance in an array
         """
         # Create array to store correspondance data
         correspondance = array(i_previous, dtype=self.correspondance_dtype)
         if self.virtual:
-            correspondance['virtual_length'][:] = 255
+            correspondance["virtual_length"][:] = 255
         # index from current_obs
-        correspondance['out'] = i_current
-        correspondance['cost_value'] = association_cost
+        correspondance["out"] = i_current
+        correspondance["cost_value"] = association_cost
 
         if self.virtual:
             # if index in previous dataset is bigger than real obs number
             # it's a virtual data
-            correspondance['virtual'] = i_previous >= nb_real_obs
+            correspondance["virtual"] = i_previous >= nb_real_obs
 
         if self.previous2_obs is None:
             # First time we set ID (Program starting)
             nb_match = i_previous.shape[0]
             # Set an id for each match
-            correspondance['id'] = self.id_generator(nb_match)
+            correspondance["id"] = self.id_generator(nb_match)
             self.append(correspondance)
             return True
 
         # We set all id to UINT32_MAX
-        id_previous = ones(len(self.previous_obs),
-                           dtype=self.ID_DTYPE) * self.UINT32_MAX
+        id_previous = (
+            ones(len(self.previous_obs), dtype=self.ID_DTYPE) * self.UINT32_MAX
+        )
         # We get old id for previously eddies tracked
-        id_previous[self[-1]['out']] = self[-1]['id']
+        id_previous[self[-1]["out"]] = self[-1]["id"]
         # We store ID in correspondance if the ID is UINT32_MAX, we never
         # track it before
-        correspondance['id'] = id_previous[correspondance['in']]
+        correspondance["id"] = id_previous[correspondance["in"]]
 
         # We set correspondance data for virtual obs : ID/LENGTH
         if self.previous2_obs is not None and self.virtual:
-            nb_rebirth = correspondance['virtual'].sum()
+            nb_rebirth = correspondance["virtual"].sum()
             if nb_rebirth != 0:
-                logger.debug('%d re-birth due to prolongation with'
-                             ' virtual observations', nb_rebirth)
+                logger.debug(
+                    "%d re-birth due to prolongation with" " virtual observations",
+                    nb_rebirth,
+                )
                 # Set id for virtual
                 # get correspondance mask using virtual obs
-                m_virtual = correspondance['virtual']
+                m_virtual = correspondance["virtual"]
                 # index of virtual in virtual obs
-                i_virtual = correspondance['in'][m_virtual] - nb_real_obs
-                correspondance['id'][m_virtual] = \
-                    self.virtual_obs['track'][i_virtual]
-                correspondance['virtual_length'][m_virtual] = \
-                    self.virtual_obs['segment_size'][i_virtual]
+                i_virtual = correspondance["in"][m_virtual] - nb_real_obs
+                correspondance["id"][m_virtual] = self.virtual_obs["track"][i_virtual]
+                correspondance["virtual_length"][m_virtual] = self.virtual_obs[
+                    "segment_size"
+                ][i_virtual]
 
         # new_id is equal to UINT32_MAX we must add a new ones
         # we count the number of new
-        mask_new_id = correspondance['id'] == self.UINT32_MAX
+        mask_new_id = correspondance["id"] == self.UINT32_MAX
         nb_new_tracks = mask_new_id.sum()
-        logger.debug('%d birth in this step', nb_new_tracks)
+        logger.debug("%d birth in this step", nb_new_tracks)
         # Set new id
-        correspondance['id'][mask_new_id] = self.id_generator(nb_new_tracks)
+        correspondance["id"][mask_new_id] = self.id_generator(nb_new_tracks)
 
         self.append(correspondance)
 
@@ -258,39 +288,47 @@ def recense_dead_id_to_extend(self):
         """Recense dead id to extend in virtual observation
         """
         # List previous id which are not use in the next step
-        dead_id = setdiff1d(self[-2]['id'], self[-1]['id'])
+        dead_id = setdiff1d(self[-2]["id"], self[-1]["id"])
         nb_dead = dead_id.shape[0]
-        logger.debug('%d death of real obs in this step', nb_dead)
+        logger.debug("%d death of real obs in this step", nb_dead)
         if not self.virtual:
             return
 
         # get id already dead from few time
         nb_virtual_extend = 0
         if self.virtual_obs is not None:
-            virtual_dead_id = setdiff1d(self.virtual_obs['track'], self[-1]['id'])
-            i_virtual_dead_id = index(self.virtual_obs['track'], virtual_dead_id)
+            virtual_dead_id = setdiff1d(self.virtual_obs["track"], self[-1]["id"])
+            i_virtual_dead_id = index(self.virtual_obs["track"], virtual_dead_id)
             # Virtual obs which can be prolongate
-            alive_virtual_obs = self.virtual_obs['segment_size'][i_virtual_dead_id] < self.nb_virtual
+            alive_virtual_obs = (
+                self.virtual_obs["segment_size"][i_virtual_dead_id] < self.nb_virtual
+            )
             nb_virtual_extend = alive_virtual_obs.sum()
-            logger.debug('%d virtual obs will be prolongate on the next step', nb_virtual_extend)
+            logger.debug(
+                "%d virtual obs will be prolongate on the next step", nb_virtual_extend
+            )
 
         # Save previous state to count virtual obs
         self.previous_virtual_obs = self.virtual_obs
 
         # Find mask/index on previous correspondance to extrapolate
         # position
-        i_dead_id = index(self[-2]['id'], dead_id)
+        i_dead_id = index(self[-2]["id"], dead_id)
 
         # Selection of observations on N-2 and N-1
-        obs_a = self.previous2_obs.obs[self[-2][i_dead_id]['in']]
-        obs_b = self.previous_obs.obs[self[-2][i_dead_id]['out']]
+        obs_a = self.previous2_obs.obs[self[-2][i_dead_id]["in"]]
+        obs_b = self.previous_obs.obs[self[-2][i_dead_id]["out"]]
 
         self.virtual_obs = self.previous_obs.propagate(
-            obs_a, obs_b,
-            self.previous_virtual_obs.obs[i_virtual_dead_id][alive_virtual_obs] if nb_virtual_extend > 0 else None,
+            obs_a,
+            obs_b,
+            self.previous_virtual_obs.obs[i_virtual_dead_id][alive_virtual_obs]
+            if nb_virtual_extend > 0
+            else None,
             dead_track=dead_id,
             nb_next=nb_dead + nb_virtual_extend,
-            model=self.previous_obs)
+            model=self.previous_obs,
+        )
 
     def load_state(self):
         # If we have a previous file of correspondance, we will replay only recent part
@@ -298,17 +336,24 @@ def load_state(self):
             first_dataset = len(self.previous_correspondance.datasets)
             for correspondance in self.previous_correspondance[:first_dataset]:
                 self.append(correspondance)
-            self.current_obs = self.class_method.load_file(self.datasets[first_dataset - 2])
+            self.current_obs = self.class_method.load_file(
+                self.datasets[first_dataset - 2]
+            )
             flg_virtual = self.previous_correspondance.virtual
             with Dataset(self.filename_previous_correspondance) as general_handler:
                 self.current_id = general_handler.last_current_id
                 if flg_virtual:
                     # Load last virtual obs
-                    self.virtual_obs = VirtualEddiesObservations.from_netcdf(general_handler.groups['LastVirtualObs'])
+                    self.virtual_obs = VirtualEddiesObservations.from_netcdf(
+                        general_handler.groups["LastVirtualObs"]
+                    )
                     # Load and last previous virtual obs to be merge with current => will be previous2_obs
                     # TODO : Need to rethink this line ??
                     self.current_obs = self.current_obs.merge(
-                        VirtualEddiesObservations.from_netcdf(general_handler.groups['LastPreviousVirtualObs']))
+                        VirtualEddiesObservations.from_netcdf(
+                            general_handler.groups["LastPreviousVirtualObs"]
+                        )
+                    )
             return first_dataset, flg_virtual
         return 1, False
 
@@ -327,12 +372,18 @@ def track(self):
 
             nb_real_obs = len(self.previous_obs)
             if flg_virtual:
-                logger.debug('%d virtual obs will be add to previous', len(self.virtual_obs))
+                logger.debug(
+                    "%d virtual obs will be add to previous", len(self.virtual_obs)
+                )
                 self.previous_obs = self.previous_obs.merge(self.virtual_obs)
-            i_previous, i_current, association_cost = self.previous_obs.tracking(self.current_obs)
+            i_previous, i_current, association_cost = self.previous_obs.tracking(
+                self.current_obs
+            )
 
             # return true if the first time (previous2obs is none)
-            if self.store_correspondance(i_previous, i_current, nb_real_obs, association_cost):
+            if self.store_correspondance(
+                i_previous, i_current, nb_real_obs, association_cost
+            ):
                 continue
 
             self.recense_dead_id_to_extend()
@@ -345,47 +396,60 @@ def save(self, filename, dict_completion=None):
         nb_step = len(self.datasets) - 1
         if isinstance(dict_completion, dict):
             filename = filename.format(**dict_completion)
-        logger.info('Create correspondance file %s', filename)
-        with Dataset(filename, 'w', format='NETCDF4') as h_nc:
+        logger.info("Create correspondance file %s", filename)
+        with Dataset(filename, "w", format="NETCDF4") as h_nc:
             # Create dimensions
             logger.debug('Create Dimensions "Nlink" : %d', self.nb_link_max)
-            h_nc.createDimension('Nlink', self.nb_link_max)
+            h_nc.createDimension("Nlink", self.nb_link_max)
 
             logger.debug('Create Dimensions "Nstep" : %d', nb_step)
-            h_nc.createDimension('Nstep', nb_step)
+            h_nc.createDimension("Nstep", nb_step)
             var_file_in = h_nc.createVariable(
-                zlib=True, complevel=1,
-                varname='FileIn', datatype='S1024', dimensions='Nstep')
+                zlib=True,
+                complevel=1,
+                varname="FileIn",
+                datatype="S1024",
+                dimensions="Nstep",
+            )
             var_file_out = h_nc.createVariable(
-                zlib=True, complevel=1,
-                varname='FileOut', datatype='S1024', dimensions='Nstep')
+                zlib=True,
+                complevel=1,
+                varname="FileOut",
+                datatype="S1024",
+                dimensions="Nstep",
+            )
             for i, dataset in enumerate(self.datasets[:-1]):
                 var_file_in[i] = dataset
                 var_file_out[i] = self.datasets[i + 1]
 
             var_nb_link = h_nc.createVariable(
-                zlib=True, complevel=1,
-                varname='nb_link', datatype='u2', dimensions='Nstep')
+                zlib=True,
+                complevel=1,
+                varname="nb_link",
+                datatype="u2",
+                dimensions="Nstep",
+            )
 
             datas = dict()
             for name, dtype in self.correspondance_dtype:
                 if dtype is bool_:
-                    dtype = 'u1'
+                    dtype = "u1"
                 kwargs_cv = dict()
-                if 'u1' in dtype:
-                    kwargs_cv['fill_value'] = 255,
-                h_nc.createVariable(zlib=True,
-                                    complevel=1,
-                                    varname=name,
-                                    datatype=dtype,
-                                    dimensions=('Nstep', 'Nlink'),
-                                    **kwargs_cv
-                                    )
+                if "u1" in dtype:
+                    kwargs_cv["fill_value"] = (255,)
+                h_nc.createVariable(
+                    zlib=True,
+                    complevel=1,
+                    varname=name,
+                    datatype=dtype,
+                    dimensions=("Nstep", "Nlink"),
+                    **kwargs_cv
+                )
                 datas[name] = ma.empty((nb_step, self.nb_link_max), dtype=dtype)
                 datas[name].mask = datas[name] == datas[name]
 
             for i, correspondance in enumerate(self):
-                logger.debug('correspondance %d', i)
+                logger.debug("correspondance %d", i)
                 nb_elt = correspondance.shape[0]
                 var_nb_link[i] = nb_elt
                 for name, _ in self.correspondance_dtype:
@@ -393,7 +457,7 @@ def save(self, filename, dict_completion=None):
             for name, data in datas.items():
                 h_v = h_nc.variables[name]
                 h_v[:] = data
-                if 'File' not in name:
+                if "File" not in name:
                     h_v.min = h_v[:].min()
                     h_v.max = h_v[:].max()
 
@@ -401,59 +465,66 @@ def save(self, filename, dict_completion=None):
             h_nc.virtual_max_segment = self.nb_virtual
             h_nc.last_current_id = self.current_id
             if self.virtual_obs is not None:
-                group = h_nc.createGroup('LastVirtualObs')
+                group = h_nc.createGroup("LastVirtualObs")
                 self.virtual_obs.to_netcdf(group)
-                group = h_nc.createGroup('LastPreviousVirtualObs')
+                group = h_nc.createGroup("LastPreviousVirtualObs")
                 self.previous_virtual_obs.to_netcdf(group)
             h_nc.module = self.class_method.__module__
             h_nc.classname = self.class_method.__qualname__
             h_nc.node = platform.node()
-        logger.info('Create correspondance file done')
+        logger.info("Create correspondance file done")
 
     def load_compatible(self, filename):
         if filename is None:
             return None
         previous_correspondance = Correspondances.load(filename)
         if self.nb_virtual != previous_correspondance.nb_virtual:
-            raise Exception('File of correspondance IN contains a different virtual segment size : file(%d), yaml(%d)' %
-                            (previous_correspondance.nb_virtual, self.nb_virtual))
+            raise Exception(
+                "File of correspondance IN contains a different virtual segment size : file(%d), yaml(%d)"
+                % (previous_correspondance.nb_virtual, self.nb_virtual)
+            )
 
         if self.class_method != previous_correspondance.class_method:
-            raise Exception('File of correspondance IN contains a different class method: file(%s), yaml(%s)' %
-                            (previous_correspondance.class_method, self.class_method))
+            raise Exception(
+                "File of correspondance IN contains a different class method: file(%s), yaml(%s)"
+                % (previous_correspondance.class_method, self.class_method)
+            )
         return previous_correspondance
 
     @classmethod
     def load(cls, filename):
-        logger.info('Try load %s', filename)
-        with Dataset(filename, 'r', format='NETCDF4') as h_nc:
+        logger.info("Try load %s", filename)
+        with Dataset(filename, "r", format="NETCDF4") as h_nc:
             datas = {varname: data[:] for varname, data in h_nc.variables.items()}
 
-            datasets = list(datas['FileIn'])
-            datasets.append(datas['FileOut'][-1])
+            datasets = list(datas["FileIn"])
+            datasets.append(datas["FileOut"][-1])
 
-            if hasattr(h_nc, 'module'):
-                class_method = getattr(__import__(h_nc.module, globals(), locals(), h_nc.classname), h_nc.classname)
+            if hasattr(h_nc, "module"):
+                class_method = getattr(
+                    __import__(h_nc.module, globals(), locals(), h_nc.classname),
+                    h_nc.classname,
+                )
             else:
                 class_method = None
-            logger.info('File %s load with class %s', filename, class_method)
+            logger.info("File %s load with class %s", filename, class_method)
             obj = cls(datasets, h_nc.virtual_max_segment, class_method=class_method)
 
             id_max = 0
-            for i, nb_elt in enumerate(datas['nb_link'][:]):
+            for i, nb_elt in enumerate(datas["nb_link"][:]):
                 logger.debug(
-                    'Link between %s and %s',
-                    datas['FileIn'][i],
-                    datas['FileOut'][i])
-                correspondance = array(datas['in'][i, :nb_elt],
-                                       dtype=obj.correspondance_dtype)
+                    "Link between %s and %s", datas["FileIn"][i], datas["FileOut"][i]
+                )
+                correspondance = array(
+                    datas["in"][i, :nb_elt], dtype=obj.correspondance_dtype
+                )
                 for name, _ in obj.correspondance_dtype:
-                    if name == 'in':
+                    if name == "in":
                         continue
-                    if name == 'virtual_length':
+                    if name == "virtual_length":
                         correspondance[name] = 255
                     correspondance[name] = datas[name][i, :nb_elt]
-                id_max = max(id_max, correspondance['id'].max())
+                id_max = max(id_max, correspondance["id"].max())
                 obj.append(correspondance)
             obj.current_id = id_max + 1
         return obj
@@ -463,19 +534,22 @@ def prepare_merging(self):
         # is an interval)
         self.nb_obs_by_tracks = ones(self.current_id, dtype=self.N_DTYPE)
         for correspondance in self:
-            self.nb_obs_by_tracks[correspondance['id']] += 1
+            self.nb_obs_by_tracks[correspondance["id"]] += 1
             if self.virtual:
                 # When start is virtual, we don't have a previous
                 # correspondance
-                self.nb_obs_by_tracks[correspondance['id'][correspondance['virtual']]] += \
-                    correspondance['virtual_length'][correspondance['virtual']]
+                self.nb_obs_by_tracks[
+                    correspondance["id"][correspondance["virtual"]]
+                ] += correspondance["virtual_length"][correspondance["virtual"]]
 
         # Compute index of each tracks
-        self.i_current_by_tracks = self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        self.i_current_by_tracks = (
+            self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        )
         # Number of global obs
         self.nb_obs = self.nb_obs_by_tracks.sum()
-        logger.info('%d tracks identified', self.current_id)
-        logger.info('%d observations will be join', self.nb_obs)
+        logger.info("%d tracks identified", self.current_id)
+        logger.info("%d observations will be join", self.nb_obs)
 
     def longer_than(self, size_min):
         """Remove from correspondance table all association for shorter eddies than size_min
@@ -484,17 +558,19 @@ def longer_than(self, size_min):
         i_keep_track = where(self.nb_obs_by_tracks >= size_min)[0]
         # Reduce array
         self.nb_obs_by_tracks = self.nb_obs_by_tracks[i_keep_track]
-        self.i_current_by_tracks = self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        self.i_current_by_tracks = (
+            self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        )
         self.nb_obs = self.nb_obs_by_tracks.sum()
         # Give the last id used
         self.current_id = self.nb_obs_by_tracks.shape[0]
-        translate = empty(i_keep_track.max() + 1, dtype='u4')
+        translate = empty(i_keep_track.max() + 1, dtype="u4")
         translate[i_keep_track] = arange(self.current_id)
         for i, correspondance in enumerate(self):
-            m_keep = isin(correspondance['id'], i_keep_track)
+            m_keep = isin(correspondance["id"], i_keep_track)
             self[i] = correspondance[m_keep]
-            self[i]['id'] = translate[self[i]['id']]
-        logger.debug('Select longer than %d done', size_min)
+            self[i]["id"] = translate[self[i]["id"]]
+        logger.debug("Select longer than %d done", size_min)
 
     def shorter_than(self, size_max):
         """Remove from correspondance table all association for longer eddies than size_max
@@ -503,17 +579,19 @@ def shorter_than(self, size_max):
         i_keep_track = where(self.nb_obs_by_tracks < size_max)[0]
         # Reduce array
         self.nb_obs_by_tracks = self.nb_obs_by_tracks[i_keep_track]
-        self.i_current_by_tracks = self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        self.i_current_by_tracks = (
+            self.nb_obs_by_tracks.cumsum() - self.nb_obs_by_tracks
+        )
         self.nb_obs = self.nb_obs_by_tracks.sum()
         # Give the last id used
         self.current_id = self.nb_obs_by_tracks.shape[0]
-        translate = empty(i_keep_track.max() + 1, dtype='u4')
+        translate = empty(i_keep_track.max() + 1, dtype="u4")
         translate[i_keep_track] = arange(self.current_id)
         for i, correspondance in enumerate(self):
-            m_keep = isin(correspondance['id'], i_keep_track)
+            m_keep = isin(correspondance["id"], i_keep_track)
             self[i] = correspondance[m_keep]
-            self[i]['id'] = translate[self[i]['id']]
-        logger.debug('Select shorter than %d done', size_max)
+            self[i]["id"] = translate[self[i]["id"]]
+        logger.debug("Select shorter than %d done", size_max)
 
     def merge(self, until=-1, raw_data=True):
         """Merge all the correspondance in one array with all fields
@@ -524,22 +602,26 @@ def merge(self, until=-1, raw_data=True):
         self.swap_dataset(self.datasets[0], raw_data=raw_data)
 
         # Start create netcdf to agglomerate all eddy
-        logger.debug('We will create an array (size %d)', self.nb_obs)
+        logger.debug("We will create an array (size %d)", self.nb_obs)
         eddies = TrackEddiesObservations(
             size=self.nb_obs,
             track_extra_variables=self.current_obs.track_extra_variables,
             track_array_variables=self.current_obs.track_array_variables,
-            array_variables=self.current_obs.array_variables, raw_data=raw_data)
+            array_variables=self.current_obs.array_variables,
+            raw_data=raw_data,
+        )
 
         # All the value put at nan, necessary only for all end of track
-        eddies['cost_association'][:] = default_fillvals['f4']
+        eddies["cost_association"][:] = default_fillvals["f4"]
         # Calculate the index in each tracks, we compute in u4 and translate
         # in u2 (which are limited to 65535)
-        logger.debug('Compute global index array (N)')
-        eddies['n'][:] = uint16(
-            arange(self.nb_obs, dtype='u4') - self.i_current_by_tracks.repeat(self.nb_obs_by_tracks))
-        logger.debug('Compute global track array')
-        eddies['track'][:] = arange(self.current_id).repeat(self.nb_obs_by_tracks)
+        logger.debug("Compute global index array (N)")
+        eddies["n"][:] = uint16(
+            arange(self.nb_obs, dtype="u4")
+            - self.i_current_by_tracks.repeat(self.nb_obs_by_tracks)
+        )
+        logger.debug("Compute global track array")
+        eddies["track"][:] = arange(self.current_id).repeat(self.nb_obs_by_tracks)
 
         # Set type of eddy with first file
         eddies.sign_type = self.current_obs.sign_type
@@ -552,11 +634,11 @@ def merge(self, until=-1, raw_data=True):
         for i, file_name in enumerate(self.datasets[1:]):
             if until != -1 and i >= until:
                 break
-            logger.debug('Merge data from %s', file_name)
+            logger.debug("Merge data from %s", file_name)
             # Load current file (we begin with second one)
             self.swap_dataset(file_name, raw_data=raw_data)
             # We select the list of id which are involve in the correspondance
-            i_id = self[i]['id']
+            i_id = self[i]["id"]
             # Index where we will write in the final object
             index_final = self.i_current_by_tracks[i_id]
 
@@ -564,13 +646,15 @@ def merge(self, until=-1, raw_data=True):
             m_first_obs = ~first_obs_save_in_tracks[i_id]
             if m_first_obs.any():
                 # Index in the previous file
-                index_in = self[i]['in'][m_first_obs]
+                index_in = self[i]["in"][m_first_obs]
                 # Copy all variable
                 for field in fields:
                     var = field[0]
-                    if var == 'cost_association':
+                    if var == "cost_association":
                         continue
-                    eddies[var][index_final[m_first_obs]] = self.previous_obs[var][index_in]
+                    eddies[var][index_final[m_first_obs]] = self.previous_obs[var][
+                        index_in
+                    ]
                 # Increment
                 self.i_current_by_tracks[i_id[m_first_obs]] += 1
                 # Active this flag, we have only one first by tracks
@@ -580,21 +664,23 @@ def merge(self, until=-1, raw_data=True):
             if self.virtual:
                 # If the flag virtual in correspondance is active,
                 # the previous is virtual
-                m_virtual = self[i]['virtual']
+                m_virtual = self[i]["virtual"]
                 if m_virtual.any():
                     # Incrementing index
-                    self.i_current_by_tracks[i_id[m_virtual]] += self[i]['virtual_length'][m_virtual]
+                    self.i_current_by_tracks[i_id[m_virtual]] += self[i][
+                        "virtual_length"
+                    ][m_virtual]
                     # Get new index
                     index_final = self.i_current_by_tracks[i_id]
 
             # Index in the current file
-            index_current = self[i]['out']
+            index_current = self[i]["out"]
 
             # Copy all variable
             for field in fields:
                 var = field[0]
-                if var == 'cost_association':
-                    eddies[var][index_final - 1] = self[i]['cost_value']
+                if var == "cost_association":
+                    eddies[var][index_final - 1] = self[i]["cost_value"]
                 else:
                     eddies[var][index_final] = self.current_obs[var][index_current]
 
@@ -616,42 +702,46 @@ def get_unused_data(self, raw_data=False):
         # Get the number of obs unused
         nb_obs = 0
         list_mask = list()
-        has_virtual = 'virtual' in self[0].dtype.names
-        logger.debug('Count unused data ...')
+        has_virtual = "virtual" in self[0].dtype.names
+        logger.debug("Count unused data ...")
         for i, filename in enumerate(self.datasets):
             last_dataset = i == (nb_dataset - 1)
             if has_virtual and not last_dataset:
-                m_in = ~self[i]['virtual']
+                m_in = ~self[i]["virtual"]
             else:
                 m_in = slice(None)
             if i == 0:
-                eddies_used = self[i]['in']
+                eddies_used = self[i]["in"]
             elif last_dataset:
-                eddies_used = self[i - 1]['out']
+                eddies_used = self[i - 1]["out"]
             else:
-                eddies_used = unique(concatenate((self[i - 1]['out'], self[i]['in'][m_in])))
+                eddies_used = unique(
+                    concatenate((self[i - 1]["out"], self[i]["in"][m_in]))
+                )
             if not isinstance(filename, str):
                 filename = filename.astype(str)
             with Dataset(filename) as h:
-                nb_obs_day = len(h.dimensions['obs'])
-            m = ones(nb_obs_day, dtype='bool')
+                nb_obs_day = len(h.dimensions["obs"])
+            m = ones(nb_obs_day, dtype="bool")
             m[eddies_used] = False
             list_mask.append(m)
             nb_obs += m.sum()
-        logger.debug('Count unused data OK')
+        logger.debug("Count unused data OK")
         eddies = EddiesObservations(
             size=nb_obs,
             track_extra_variables=self.current_obs.track_extra_variables,
             track_array_variables=self.current_obs.track_array_variables,
-            array_variables=self.current_obs.array_variables, raw_data=raw_data)
+            array_variables=self.current_obs.array_variables,
+            raw_data=raw_data,
+        )
         j = 0
         for i, dataset in enumerate(self.datasets):
-            logger.debug('Loaf file : (%d) %s', i, dataset)
+            logger.debug("Loaf file : (%d) %s", i, dataset)
             current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
             if i == 0:
                 eddies.sign_type = current_obs.sign_type
             unused_obs = current_obs.observations[list_mask[i]]
             nb = unused_obs.shape[0]
-            eddies.observations[j:j + nb] = unused_obs
+            eddies.observations[j : j + nb] = unused_obs
             j += nb
         return eddies
diff --git a/src/scripts/EddyFinalTracking b/src/scripts/EddyFinalTracking
index f147828d..cf3c06f0 100644
--- a/src/scripts/EddyFinalTracking
+++ b/src/scripts/EddyFinalTracking
@@ -17,27 +17,24 @@ def usage():
     """Usage
     """
     # Run using:
-    parser = EddyParser(
-        "Tool to use identification step to compute tracking")
-    parser.add_argument('nc_file',
-                        help='File of correspondances to reload link '
-                             'without tracking computation')
-    parser.add_argument('--path_out',
-                        default='./',
-                        help='Path, where to write file')
-
-    parser.add_argument('--eddies_long_model', default=None)
-    parser.add_argument('--eddies_short_model', default=None)
-    parser.add_argument('--eddies_untracked_model', default=None)
-
-    parser.add_argument('--nb_obs_min',
-                        type=int,
-                        default=28,
-                        help='Minimal length of tracks')
+    parser = EddyParser("Tool to use identification step to compute tracking")
+    parser.add_argument(
+        "nc_file",
+        help="File of correspondances to reload link " "without tracking computation",
+    )
+    parser.add_argument("--path_out", default="./", help="Path, where to write file")
+
+    parser.add_argument("--eddies_long_model", default=None)
+    parser.add_argument("--eddies_short_model", default=None)
+    parser.add_argument("--eddies_untracked_model", default=None)
+
+    parser.add_argument(
+        "--nb_obs_min", type=int, default=28, help="Minimal length of tracks"
+    )
     return parser.parse_args()
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     CONFIG = usage()
 
     # Create output directory
@@ -49,16 +46,26 @@ if __name__ == '__main__':
 
     CORRESPONDANCES = Correspondances.load(CONFIG.nc_file)
 
-    logger.info('Start merging')
+    logger.info("Start merging")
 
     CORRESPONDANCES.prepare_merging()
 
-    logger.info('The longest tracks have %d observations', CORRESPONDANCES.nb_obs_by_tracks.max())
-    logger.info('The mean length is %d observations before filtering', CORRESPONDANCES.nb_obs_by_tracks.mean())
+    logger.info(
+        "The longest tracks have %d observations",
+        CORRESPONDANCES.nb_obs_by_tracks.max(),
+    )
+    logger.info(
+        "The mean length is %d observations before filtering",
+        CORRESPONDANCES.nb_obs_by_tracks.mean(),
+    )
 
     if CONFIG.eddies_untracked_model is None:
-        CONFIG.eddies_untracked_model = '%(path)s/%(sign_type)s_%(prod_time)s_untracked.nc'
-    CORRESPONDANCES.get_unused_data(raw_data=True).write_file(path=SAVE_DIR, filename=CONFIG.eddies_untracked_model)
+        CONFIG.eddies_untracked_model = (
+            "%(path)s/%(sign_type)s_%(prod_time)s_untracked.nc"
+        )
+    CORRESPONDANCES.get_unused_data(raw_data=True).write_file(
+        path=SAVE_DIR, filename=CONFIG.eddies_untracked_model
+    )
 
     SHORT_CORRESPONDANCES = CORRESPONDANCES._copy()
     SHORT_CORRESPONDANCES.shorter_than(size_max=NB_OBS_MIN)
@@ -70,21 +77,28 @@ if __name__ == '__main__':
 
     # We flag obs
     if CORRESPONDANCES.virtual:
-        FINAL_EDDIES['virtual'][:] = FINAL_EDDIES['time'] == 0
-        FINAL_EDDIES.filled_by_interpolation(FINAL_EDDIES['virtual'] == 1)
-        SHORT_TRACK['virtual'][:] = SHORT_TRACK['time'] == 0
-        SHORT_TRACK.filled_by_interpolation(SHORT_TRACK['virtual'] == 1)
+        FINAL_EDDIES["virtual"][:] = FINAL_EDDIES["time"] == 0
+        FINAL_EDDIES.filled_by_interpolation(FINAL_EDDIES["virtual"] == 1)
+        SHORT_TRACK["virtual"][:] = SHORT_TRACK["time"] == 0
+        SHORT_TRACK.filled_by_interpolation(SHORT_TRACK["virtual"] == 1)
 
     # Total running time
     FULL_TIME = dt.datetime.now() - START_TIME
-    logger.info('Duration : %s', FULL_TIME)
+    logger.info("Duration : %s", FULL_TIME)
 
-    logger.info('Longer track saved have %d obs', CORRESPONDANCES.nb_obs_by_tracks.max())
-    logger.info('The mean length is %d observations after filtering', CORRESPONDANCES.nb_obs_by_tracks.mean())
+    logger.info(
+        "Longer track saved have %d obs", CORRESPONDANCES.nb_obs_by_tracks.max()
+    )
+    logger.info(
+        "The mean length is %d observations after filtering",
+        CORRESPONDANCES.nb_obs_by_tracks.mean(),
+    )
 
     if CONFIG.eddies_long_model is None:
-        CONFIG.eddies_long_model = '%(path)s/%(sign_type)s_%(prod_time)s.nc'
+        CONFIG.eddies_long_model = "%(path)s/%(sign_type)s_%(prod_time)s.nc"
     if CONFIG.eddies_short_model is None:
-        CONFIG.eddies_short_model = '%(path)s/%(sign_type)s_%(prod_time)s_track_too_short.nc'
+        CONFIG.eddies_short_model = (
+            "%(path)s/%(sign_type)s_%(prod_time)s_track_too_short.nc"
+        )
     FINAL_EDDIES.write_file(filename=CONFIG.eddies_long_model, path=SAVE_DIR)
     SHORT_TRACK.write_file(filename=CONFIG.eddies_short_model, path=SAVE_DIR)
diff --git a/src/scripts/EddyMergeCorrespondances b/src/scripts/EddyMergeCorrespondances
index aa6321eb..a1790783 100644
--- a/src/scripts/EddyMergeCorrespondances
+++ b/src/scripts/EddyMergeCorrespondances
@@ -17,17 +17,17 @@ def usage():
     """Usage
     """
     # Run using:
-    parser = EddyParser(
-        "Tool to use identification step to compute tracking")
-    parser.add_argument('nc_file',
-                        nargs='+',
-                        help='File of correspondances to reload link '
-                             'without tracking computation')
-    parser.add_argument('path_out', help='Path, where to write file')
+    parser = EddyParser("Tool to use identification step to compute tracking")
+    parser.add_argument(
+        "nc_file",
+        nargs="+",
+        help="File of correspondances to reload link " "without tracking computation",
+    )
+    parser.add_argument("path_out", help="Path, where to write file")
     return parser.parse_args()
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     CONFIG = usage()
 
     # Create output directory
@@ -36,7 +36,7 @@ if __name__ == '__main__':
 
     START_TIME = dt.datetime.now()
     CORRESPONDANCES = Correspondances.load(CONFIG.nc_file[0])
-    logger.info('Start merging')
+    logger.info("Start merging")
     for i in CONFIG.nc_file[1:]:
         CORRESPONDANCES.merge_correspondance(Correspondances.load(i))
 
diff --git a/src/scripts/EddySubSetter b/src/scripts/EddySubSetter
index 3a4b0f12..0a138a37 100644
--- a/src/scripts/EddySubSetter
+++ b/src/scripts/EddySubSetter
@@ -11,44 +11,93 @@ logger = logging.getLogger("pet")
 
 
 def id_parser():
-    parser = EddyParser('Eddy Subsetter')
-    parser.add_argument('filename')
-    parser.add_argument('filename_out')
-
-    group = parser.add_argument_group('Extraction options')
-    group.add_argument('-p', '--period', nargs=2, type=int,
-                       help='Start day and end day, if it s negative value we will add to day min and add to day max, if 0 it s not use')
-    group.add_argument('-l', '--length', nargs=2, type=int,
-                       help='Minimal and maximal quantity of observation for one track, ones bounds could be negative, it will be not use')
-    group.add_argument('-f', '--full_path', action='store_true',
-                       help='Extract path, if one obs or more are selected')
-    group.add_argument('-d', '--remove_incomplete', action='store_true',
-                       help='Extract path only if all obs are selected')
-    group.add_argument('--reject_virtual', action='store_true',
-                       help="If there are only virtual observation in selection, we don't select track")
-    group.add_argument('-a', '--area', nargs=4, type=float,
-                       metavar=('llcrnrlon', 'llcrnrlat', 'urcrnrlon', 'urcrnrlat'),
-                       help='Coordinates of bounding to extract'
-                       )
-    group.add_argument('--direction', choices=['E', 'W', 'S', 'N'],
-                       help='Select only track which have an end point which go in this direction')
-    group.add_argument('--minimal_degrees_displacement_in_direction', type=float,
-                       help='Minimal displacement in direction specified in --directio options')
-    group.add_argument('--select_first_observation_in_box', type=float,
-                       help='Select only the first obs in each box for each tracks, value specified must be resolution')
-    group.add_argument('--remove_var', nargs='+', type=str, help='remove all listed variable')
-    group.add_argument('--include_var', nargs='+', type=str, help='use only listed variable, remove_var will be ignored')
-    group.add_argument('-i', '--ids', nargs='+', type=int, help='List of tracks which will be extract')
-
-    group = parser.add_argument_group('General options')
-    group.add_argument('--sort_time', action='store_true', help='sort all observation with time')
-
-    parser.add_argument('-n', '--no_raw_mode', action='store_true',
-                        help='Uncompress all data, could be create a memory error for huge file, but is safer for extern file of py eddy tracker')
+    parser = EddyParser("Eddy Subsetter")
+    parser.add_argument("filename")
+    parser.add_argument("filename_out")
+
+    group = parser.add_argument_group("Extraction options")
+    group.add_argument(
+        "-p",
+        "--period",
+        nargs=2,
+        type=int,
+        help="Start day and end day, if it s negative value we will add to day min and add to day max, if 0 it s not use",
+    )
+    group.add_argument(
+        "-l",
+        "--length",
+        nargs=2,
+        type=int,
+        help="Minimal and maximal quantity of observation for one track, ones bounds could be negative, it will be not use",
+    )
+    group.add_argument(
+        "-f",
+        "--full_path",
+        action="store_true",
+        help="Extract path, if one obs or more are selected",
+    )
+    group.add_argument(
+        "-d",
+        "--remove_incomplete",
+        action="store_true",
+        help="Extract path only if all obs are selected",
+    )
+    group.add_argument(
+        "--reject_virtual",
+        action="store_true",
+        help="If there are only virtual observation in selection, we don't select track",
+    )
+    group.add_argument(
+        "-a",
+        "--area",
+        nargs=4,
+        type=float,
+        metavar=("llcrnrlon", "llcrnrlat", "urcrnrlon", "urcrnrlat"),
+        help="Coordinates of bounding to extract",
+    )
+    group.add_argument(
+        "--direction",
+        choices=["E", "W", "S", "N"],
+        help="Select only track which have an end point which go in this direction",
+    )
+    group.add_argument(
+        "--minimal_degrees_displacement_in_direction",
+        type=float,
+        help="Minimal displacement in direction specified in --directio options",
+    )
+    group.add_argument(
+        "--select_first_observation_in_box",
+        type=float,
+        help="Select only the first obs in each box for each tracks, value specified must be resolution",
+    )
+    group.add_argument(
+        "--remove_var", nargs="+", type=str, help="remove all listed variable"
+    )
+    group.add_argument(
+        "--include_var",
+        nargs="+",
+        type=str,
+        help="use only listed variable, remove_var will be ignored",
+    )
+    group.add_argument(
+        "-i", "--ids", nargs="+", type=int, help="List of tracks which will be extract"
+    )
+
+    group = parser.add_argument_group("General options")
+    group.add_argument(
+        "--sort_time", action="store_true", help="sort all observation with time"
+    )
+
+    parser.add_argument(
+        "-n",
+        "--no_raw_mode",
+        action="store_true",
+        help="Uncompress all data, could be create a memory error for huge file, but is safer for extern file of py eddy tracker",
+    )
     return parser
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     args = id_parser().parse_args()
 
     # Original dataset
@@ -69,37 +118,46 @@ if __name__ == '__main__':
 
     # Select with a start date and end date
     if args.period is not None:
-        dataset = dataset.extract_with_period(args.period, full_path=args.full_path,
-                                              remove_incomplete=args.remove_incomplete,
-                                              reject_virtual=args.reject_virtual)
+        dataset = dataset.extract_with_period(
+            args.period,
+            full_path=args.full_path,
+            remove_incomplete=args.remove_incomplete,
+            reject_virtual=args.reject_virtual,
+        )
 
     # Select track which go through an area
     if args.area is not None:
-        area = dict(llcrnrlon=args.area[0],
-                    llcrnrlat=args.area[1],
-                    urcrnrlon=args.area[2],
-                    urcrnrlat=args.area[3],
-                    )
-        dataset = dataset.extract_with_area(area, full_path=args.full_path,
-                                            remove_incomplete=args.remove_incomplete,
-                                              reject_virtual=args.reject_virtual)
+        area = dict(
+            llcrnrlon=args.area[0],
+            llcrnrlat=args.area[1],
+            urcrnrlon=args.area[2],
+            urcrnrlat=args.area[3],
+        )
+        dataset = dataset.extract_with_area(
+            area,
+            full_path=args.full_path,
+            remove_incomplete=args.remove_incomplete,
+            reject_virtual=args.reject_virtual,
+        )
 
     # Select only track which go in the direction specified
     if args.direction:
         if args.minimal_degrees_displacement_in_direction:
             dataset = dataset.extract_in_direction(
-                args.direction,
-                value=args.minimal_degrees_displacement_in_direction)
+                args.direction, value=args.minimal_degrees_displacement_in_direction
+            )
         else:
             dataset = dataset.extract_in_direction(args.direction)
 
     if args.select_first_observation_in_box:
-        dataset = dataset.extract_first_obs_in_box(res=args.select_first_observation_in_box)
+        dataset = dataset.extract_first_obs_in_box(
+            res=args.select_first_observation_in_box
+        )
 
     if args.sort_time:
-        logger.debug('start sorting ...')
-        dataset.obs.sort(order=['time', 'lon', 'lat'])
-        logger.debug('end sorting')
+        logger.debug("start sorting ...")
+        dataset.obs.sort(order=["time", "lon", "lat"])
+        logger.debug("end sorting")
 
     # if no data, no output will be written
     if len(dataset) == 0:
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index e8c23f12..a1c268bc 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -170,14 +170,14 @@ if __name__ == "__main__":
             data_dir=None,
             files_model=None,
             files=CONFIG["PATHS"]["FILES_PATTERN"],
-            date_regexp=".*c_([0-9]*?).[nz].*",
+            date_regexp=".*_([0-9]*?).[nz].*",
             date_model="%Y%m%d",
         )
     else:
         DATASET_LIST = browse_dataset_in(
             data_dir=dirname(CONFIG["PATHS"]["FILES_PATTERN"]),
             files_model=basename(CONFIG["PATHS"]["FILES_PATTERN"]),
-            date_regexp=".*c_([0-9]*?).[nz].*",
+            date_regexp=".*_([0-9]*?).[nz].*",
             date_model="%Y%m%d",
         )
 
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index 8d9fea3e..933ccad6 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -10,14 +10,16 @@ import zarr
 
 
 def id_parser():
-    parser = EddyParser('Eddy Translate, Translate eddies from netcdf to zarr or from zarr to netcdf')
-    parser.add_argument('filename_in')
-    parser.add_argument('filename_out')
+    parser = EddyParser(
+        "Eddy Translate, Translate eddies from netcdf to zarr or from zarr to netcdf"
+    )
+    parser.add_argument("filename_in")
+    parser.add_argument("filename_out")
     return parser
 
 
 def is_nc(filename):
-    return filename.endswith('.nc')
+    return filename.endswith(".nc")
 
 
 def get_variable_name(filename):
@@ -31,21 +33,23 @@ def get_variable_name(filename):
 
 def get_variable(filename, varname):
     if is_nc(filename):
-        dataset = EddiesObservations.load_from_netcdf(filename, raw_data=True, include_vars=(varname,))
+        dataset = EddiesObservations.load_from_netcdf(
+            filename, raw_data=True, include_vars=(varname,)
+        )
     else:
         dataset = EddiesObservations.load_from_zarr(filename, include_vars=(varname,))
     return dataset
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     args = id_parser().parse_args()
 
     variables = get_variable_name(args.filename_in)
     if not is_nc(args.filename_out):
-        h = zarr.open(args.filename_out, 'w')
+        h = zarr.open(args.filename_out, "w")
         for varname in variables:
             get_variable(args.filename_in, varname).to_zarr(h)
     else:
-        with Dataset(args.filename_out, 'w') as h:
+        with Dataset(args.filename_out, "w") as h:
             for varname in variables:
-                get_variable(args.filename_in, varname).to_netcdf(h)
\ No newline at end of file
+                get_variable(args.filename_in, varname).to_netcdf(h)
diff --git a/src/scripts/GUIEddy b/src/scripts/GUIEddy
index 6f9673f4..754919a8 100644
--- a/src/scripts/GUIEddy
+++ b/src/scripts/GUIEddy
@@ -11,7 +11,7 @@ from py_eddy_tracker.gui import GUI
 def parser():
     parser = ArgumentParser("Eddy atlas GUI")
     parser.add_argument("atlas", nargs="+")
-    parser.add_argument("--med", action='store_true')
+    parser.add_argument("--med", action="store_true")
     return parser.parse_args()
 
 

From 4b1f44942f99fa4cfad2ad408c61acc8089f9743 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 24 Sep 2020 21:13:38 +0200
Subject: [PATCH 108/441] Add options to speed up tracking

---
 .../featured_tracking/area_tracker.py                |  7 +++++++
 src/py_eddy_tracker/observations/observation.py      |  4 ++++
 src/py_eddy_tracker/tracking.py                      | 12 ++++++++----
 3 files changed, 19 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index 8a1cfcdc..b799b47b 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -6,6 +6,13 @@
 
 
 class AreaTracker(Model):
+
+    @classmethod
+    def needed_variable(cls):
+        vars = ['longitude', 'latitude']
+        vars.extend(cls.intern(False, public_label=True))
+        return vars
+
     def tracking(self, other):
         shape = (self.shape[0], other.shape[0])
         i, j, c = self.match(other, intern=False)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index bc4a3e7f..10b98a44 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -282,6 +282,10 @@ def __getitem__(self, attr):
             return self.observations[attr]
         raise KeyError("%s unknown" % attr)
 
+    @classmethod
+    def needed_variable(cls):
+        return None
+
     @classmethod
     def obs_dimension(cls, handler):
         for candidate in ("obs", "Nobs", "observation", "i"):
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 3886983b..c0c3770a 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -363,12 +363,16 @@ def track(self):
         self.reset_dataset_cache()
         first_dataset, flg_virtual = self.load_state()
 
-        self.swap_dataset(self.datasets[first_dataset - 1])
+        kwargs = dict()
+        needed_variable = self.class_method.needed_variable()
+        if needed_variable is not None:
+            kwargs['include_vars'] = needed_variable
+        self.swap_dataset(self.datasets[first_dataset - 1], **kwargs)
         # We begin with second file, first one is in previous
         for file_name in self.datasets[first_dataset:]:
-            self.swap_dataset(file_name)
-            logger.info('%s match with previous state', file_name)
-            logger.debug('%d obs to match', len(self.current_obs))
+            self.swap_dataset(file_name, **kwargs)
+            logger.info("%s match with previous state", file_name)
+            logger.debug("%d obs to match", len(self.current_obs))
 
             nb_real_obs = len(self.previous_obs)
             if flg_virtual:

From 16cbe9cf96b05c3c5672c5464fe16e8e5ac766ea Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 24 Sep 2020 21:14:24 +0200
Subject: [PATCH 109/441] Add informations on nice display of observations

---
 src/py_eddy_tracker/appli/eddies.py           | 11 ++-
 src/py_eddy_tracker/generic.py                |  6 ++
 .../observations/observation.py               | 93 +++++++++----------
 src/py_eddy_tracker/observations/tracking.py  | 28 ++++++
 4 files changed, 89 insertions(+), 49 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 7e2adaa7..c3b10d31 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -104,6 +104,13 @@ def display_infos():
         "latitude",
     ]
     for filename in args.observations:
-        print(f"-- {filename} --")
-        e = EddiesObservations.load_file(filename, include_vars=vars)
+        with Dataset(filename) as h:
+            track = 'track' in h.variables
+        print(f"-- {filename} -- ")
+        if track:
+            vars_ = vars.copy()
+            vars_.extend(('track', 'observation_number', 'observation_flag'))
+            e = TrackEddiesObservations.load_file(filename, include_vars=vars_)
+        else:
+            e = EddiesObservations.load_file(filename, include_vars=vars)
         print(e)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 4ccacb1e..4c62dead 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -39,6 +39,7 @@
     bool_,
     concatenate,
     radians,
+    histogram,
 )
 from numba import njit, prange, types as numba_types
 from .poly import winding_number_grid_in_poly
@@ -82,6 +83,11 @@ def build_index(groups):
     return first_index, last_index, i0
 
 
+@njit(cache=True)
+def hist_numba(x, bins):
+    return histogram(x, bins)
+
+
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 10b98a44..d3affc17 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -70,6 +70,7 @@
     reverse_index,
     get_pixel_in_regular,
     bbox_indice_regular,
+    hist_numba,
 )
 from ..poly import bbox_intersection, vertice_overlap, create_vertice
 
@@ -112,11 +113,6 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
     return m
 
 
-@njit(cache=True)
-def hist_numba(x, bins):
-    return histogram(x, bins)
-
-
 class EddiesObservations(object):
     """
     Class to hold eddy properties *amplitude* and counts of
@@ -220,6 +216,32 @@ def _repr_html_(self):
         infos = self.get_infos()
         return f"""<b>{infos['nb_obs']} observations from {infos['t0']} to {infos['t1']} </b>"""
 
+    def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
+        """
+            :param str varname: variable to use to compute stat
+            :param str x: variable to use to know in which bins
+            :param array bins:
+            :param bool percent: normalize by sum of all bins
+            :param bool mean: compute mean by bins
+            :param nb mean: only count by bins
+            :return: value by bins
+            :rtype: array
+            """
+        if nb:
+            v = hist_numba(self[x], bins=bins)[0]
+        else:
+            v = histogram(self[x], bins=bins, weights=self[varname])[0]
+        if percent:
+            v = v.astype("f4") / v.sum() * 100
+        elif mean:
+            v /= hist_numba(self[x], bins=bins)[0]
+        return v
+
+    @staticmethod
+    def box_display(value):
+        """Return value evenly spaced with few numbers"""
+        return "".join([f"{v_:10.2f}" for v_ in value])
+
     def __repr__(self):
         """
         return general informations on dataset as a string
@@ -234,48 +256,25 @@ def __repr__(self):
         bins_radius = array((0, 15, 30, 45, 60, 75, 100, 200, 2000))
         nb_obs = self.observations.shape[0]
 
-        def hist(varname, x="lat", bins=bins_lat, percent=False, mean=False, nb=False):
-            """
-            :param str varname: variable to use to compute stat
-            :param str x: variable to use to know in which bins
-            :param array bins:
-            :param bool percent: normalize by sum of all bins
-            :param bool mean: compute mean by bins
-            :param nb mean: only count by bins
-            :return: value by bins
-            :rtype: array
-            """
-            if nb:
-                v = hist_numba(self[x], bins=bins)[0]
-            else:
-                v = histogram(self[x], bins=bins, weights=self[varname])[0]
-            if percent:
-                v = v.astype("f4") / v.sum() * 100
-            elif mean:
-                v /= hist_numba(self[x], bins=bins)[0]
-            return v
-
-        def box_display(value):
-            """Return value evenly spaced with few numbers"""
-            return "".join([f"{v_:10.2f}" for v_ in value])
-
-        return f"""{nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
-    Speed area      : {self["speed_area"].sum() / period / 1e12:.2f} Mkm²/day
-    Effective area  : {self["effective_area"].sum() / period / 1e12:.2f} Mkm²/day
-----Distribution in Amplitude:
-    Amplitude bounds (cm)  {box_display(bins_amplitude)}
-    Percent of eddies         : {box_display(hist('time', 'amplitude', bins_amplitude / 100., percent=True, nb=True))}
-----Distribution in Radius:
-    Speed radius (km)      {box_display(bins_radius)}
-    Percent of eddies         : {box_display(hist('time', 'radius_s', bins_radius * 1000., percent=True, nb=True))}
-----Distribution in Latitude
-    Latitude bounds        {box_display(bins_lat)}
-    Percent of eddies         : {box_display(hist('time', percent=True, nb=True))}
-    Percent of speed area     : {box_display(hist('speed_area', percent=True))}
-    Percent of effective area : {box_display(hist('effective_area', percent=True))}
-    Mean speed radius (km)    : {box_display(hist('radius_s', mean=True) / 1000.)}
-    Mean effective radius (km): {box_display(hist('radius_e', mean=True) / 1000.)}
-    Mean amplitude (cm)       : {box_display(hist('amplitude', mean=True) * 100.)}"""
+        return f"""    | {nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
+    |   Speed area      : {self["speed_area"].sum() / period / 1e12:.2f} Mkm²/day
+    |   Effective area  : {self["effective_area"].sum() / period / 1e12:.2f} Mkm²/day
+    ----Distribution in Amplitude:
+    |   Amplitude bounds (cm)  {self.box_display(bins_amplitude)}
+    |   Percent of eddies         : {
+        self.box_display(self.hist('time', 'amplitude', bins_amplitude / 100., percent=True, nb=True))}
+    ----Distribution in Radius:
+    |   Speed radius (km)      {self.box_display(bins_radius)}
+    |   Percent of eddies         : {
+        self.box_display(self.hist('time', 'radius_s', bins_radius * 1000., percent=True, nb=True))}
+    ----Distribution in Latitude
+        Latitude bounds        {self.box_display(bins_lat)}
+        Percent of eddies         : {self.box_display(self.hist('time', 'lat', bins_lat, percent=True, nb=True))}
+        Percent of speed area     : {self.box_display(self.hist('speed_area', 'lat', bins_lat, percent=True))}
+        Percent of effective area : {self.box_display(self.hist('effective_area', 'lat', bins_lat, percent=True))}
+        Mean speed radius (km)    : {self.box_display(self.hist('radius_s', 'lat', bins_lat, mean=True) / 1000.)}
+        Mean effective radius (km): {self.box_display(self.hist('radius_e', 'lat', bins_lat, mean=True) / 1000.)}
+        Mean amplitude (cm)       : {self.box_display(self.hist('amplitude', 'lat', bins_lat, mean=True) * 100.)}"""
 
     def __getitem__(self, attr):
         if attr in self.elements:
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index d90d6eed..5e4df17e 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -38,6 +38,7 @@
     zeros,
     array,
     median,
+    histogram
 )
 from datetime import datetime, timedelta
 from numba import njit
@@ -62,6 +63,8 @@ class TrackEddiesObservations(EddiesObservations):
         "lat",
         "radius_s",
         "radius_e",
+        "speed_area",
+        "effective_area",
         "amplitude",
         "speed_average",
         "time",
@@ -83,6 +86,31 @@ def __init__(self, *args, **kwargs):
         self.__first_index_of_track = None
         self.__obs_by_track = None
 
+    def __repr__(self):
+        content = super().__repr__()
+        t0, t1 = self.period
+        period = t1 - t0 + 1
+        nb = self.nb_obs_by_track
+        nb_obs = self.observations.shape[0]
+        m = self["virtual"].astype("bool")
+        nb_m = m.sum()
+        bins_t = (0, 20, 50, 100, 200, 1000, 10000)
+        nb_tracks_by_t = histogram(nb, bins=bins_t)[0]
+        nb_obs_by_t = histogram(nb, bins=bins_t, weights=nb)[0]
+        pct_tracks_by_t = nb_tracks_by_t / nb_tracks_by_t.sum() * 100.
+        pct_obs_by_t = nb_obs_by_t / nb_obs_by_t.sum() * 100.
+        content += f"""
+    | {nb.shape[0]} tracks ({nb.mean():.2f} obs/tracks, shorter {nb.min()} obs, longer {nb.max()} obs)
+    |   {nb_m} filled observations ({nb_m / nb.shape[0]:.2f} obs/tracks, {nb_m / nb_obs * 100:.2f} % of total)
+    |   Intepolated speed area : {self["speed_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    |   Intepolated effective area : {self["effective_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    ----Distribution in lifetime:
+    |   Lifetime (days  )      {self.box_display(bins_t)}
+    |   Percent of tracks         : {self.box_display(pct_tracks_by_t)}
+    |   Percent of eddies         : {self.box_display(pct_obs_by_t)}
+"""
+        return content
+
     def filled_by_interpolation(self, mask):
         """Filled selected values by interpolation
         """

From 9e0a96920d4eae47508f543a5f6e8128ccec9ee3 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 25 Sep 2020 09:51:14 +0200
Subject: [PATCH 110/441] Add docstring on Correspondances

---
 doc/autodoc/tracking.rst        | 8 ++++++++
 src/py_eddy_tracker/tracking.py | 5 ++++-
 2 files changed, 12 insertions(+), 1 deletion(-)
 create mode 100644 doc/autodoc/tracking.rst

diff --git a/doc/autodoc/tracking.rst b/doc/autodoc/tracking.rst
new file mode 100644
index 00000000..b3b8f223
--- /dev/null
+++ b/doc/autodoc/tracking.rst
@@ -0,0 +1,8 @@
+Correspondances
+============
+
+.. automodule:: py_eddy_tracker.tracking
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index c0c3770a..a1cd0bcc 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
@@ -78,6 +77,10 @@ def __init__(
         self, datasets, virtual=0, class_method=None, previous_correspondance=None
     ):
         """Initiate tracking
+
+        :param list(str) datasets: A sorted list of filename which contains eddy observations to track
+        :param class class_method: A class which tell how to track
+        :param Correspondances previous_correspondance: A previous correspondance object if you want continue tracking
         """
         super().__init__()
         # Correspondance dtype

From d6164ed4d8f100f41f76bac505eea9e040905235 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 25 Sep 2020 15:42:43 +0200
Subject: [PATCH 111/441] add a fonction to get distance to next obs

---
 doc/autodoc/tracking.rst                      |   2 +-
 doc/index.rst                                 |   1 +
 .../pet_propagation.py                        |  30 +-----
 .../pet_propagation.ipynb                     |  24 +----
 src/py_eddy_tracker/__init__.py               |  21 +++-
 src/py_eddy_tracker/appli/eddies.py           |   2 +-
 src/py_eddy_tracker/appli/gui.py              |   2 +-
 src/py_eddy_tracker/generic.py                |  24 +++++
 .../observations/observation.py               |   3 +-
 src/py_eddy_tracker/observations/tracking.py  | 102 ++++++++++++++----
 10 files changed, 133 insertions(+), 78 deletions(-)

diff --git a/doc/autodoc/tracking.rst b/doc/autodoc/tracking.rst
index b3b8f223..1bc46605 100644
--- a/doc/autodoc/tracking.rst
+++ b/doc/autodoc/tracking.rst
@@ -1,5 +1,5 @@
 Correspondances
-============
+===============
 
 .. automodule:: py_eddy_tracker.tracking
     :members:
diff --git a/doc/index.rst b/doc/index.rst
index 071fa230..80548e2a 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -42,6 +42,7 @@ Welcome to py-eddy-tracker's documentation!
    autodoc/observations
    autodoc/eddy_feature
    autodoc/featured_tracking
+   autodoc/tracking
    autodoc/poly
    autodoc/generic
 
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index c70a324e..4c70321c 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -5,29 +5,9 @@
 """
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.generic import distance
+from py_eddy_tracker.generic import cumsum_by_track
 import py_eddy_tracker_sample
-from numpy import arange, empty
-from numba import njit
-
-
-# %%
-# We will create a function compile with numba, to compute a field which contains curvilign distance
-@njit(cache=True)
-def cum_distance_by_track(distance, track):
-    tr_previous = 0
-    d_cum = 0
-    new_distance = empty(track.shape, dtype=distance.dtype)
-    for i in range(distance.shape[0]):
-        tr = track[i]
-        if i != 0 and tr != tr_previous:
-            d_cum = 0
-        new_distance[i] = d_cum
-        d_cum += distance[i]
-        tr_previous = tr
-    new_distance[i + 1] = d_cum
-    return new_distance
-
+from numpy import arange
 
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
@@ -45,10 +25,8 @@ def cum_distance_by_track(distance, track):
 
 # %%
 # Compute curvilign distance
-d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])
-d_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])
-d_a = cum_distance_by_track(d_a, a["track"]) / 1000.0
-d_c = cum_distance_by_track(d_c, c["track"]) / 1000.0
+d_a = cumsum_by_track(a.distance_to_next(), a.tracks) / 1000.0
+d_c = cumsum_by_track(c.distance_to_next(), c.tracks) / 1000.0
 
 # %%
 # Plot
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index 288c7bf4..a3f7c8fb 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nPropagation Histogram\n===================\n"
+        "\n# Propagation Histogram\n"
       ]
     },
     {
@@ -26,25 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import distance\nimport py_eddy_tracker_sample\nfrom numpy import arange, empty\nfrom numba import njit"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We will create a function compile with numba, to compute a field which contains curvilign distance\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "@njit(cache=True)\ndef cum_distance_by_track(distance, track):\n    tr_previous = 0\n    d_cum = 0\n    new_distance = empty(track.shape, dtype=distance.dtype)\n    for i in range(distance.shape[0]):\n        tr = track[i]\n        if i != 0 and tr != tr_previous:\n            d_cum = 0\n        new_distance[i] = d_cum\n        d_cum += distance[i]\n        tr_previous = tr\n    new_distance[i + 1] = d_cum\n    return new_distance"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import cumsum_by_track\nimport py_eddy_tracker_sample\nfrom numpy import arange"
       ]
     },
     {
@@ -98,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "d_a = distance(a.longitude[:-1], a.latitude[:-1], a.longitude[1:], a.latitude[1:])\nd_c = distance(c.longitude[:-1], c.latitude[:-1], c.longitude[1:], c.latitude[1:])\nd_a = cum_distance_by_track(d_a, a[\"track\"]) / 1000.0\nd_c = cum_distance_by_track(d_c, c[\"track\"]) / 1000.0"
+        "d_a = cumsum_by_track(a.distance_to_next(), a.tracks) / 1000.0\nd_c = cumsum_by_track(c.distance_to_next(), c.tracks) / 1000.0"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index b3d5939f..3efabf0c 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -25,6 +25,10 @@
 import logging
 import numpy
 import zarr
+from ._version import get_versions
+
+__version__ = get_versions()["version"]
+del get_versions
 
 
 def start_logger():
@@ -140,6 +144,18 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(),
     ),
+    distance_next=dict(
+        attr_name=None,
+        nc_name="distance_next",
+        nc_type="float32",
+        output_type="uint16",
+        scale_factor=50.,
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Distance to next position",
+            units='m',
+        ),
+    ),
     virtual=dict(
         attr_name=None,
         nc_name="observation_flag",
@@ -622,8 +638,3 @@ def parse_args(self, *args, **kwargs):
     VAR_DESCR_inv[VAR_DESCR[key]["nc_name"]] = key
     for key_old in VAR_DESCR[key].get("old_nc_name", list()):
         VAR_DESCR_inv[key_old] = key
-
-from ._version import get_versions
-
-__version__ = get_versions()["version"]
-del get_versions
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index c3b10d31..75d51eb1 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -109,7 +109,7 @@ def display_infos():
         print(f"-- {filename} -- ")
         if track:
             vars_ = vars.copy()
-            vars_.extend(('track', 'observation_number', 'observation_flag'))
+            vars_.extend(('track', 'observation_number', 'observation_flag', 'longitude'))
             e = TrackEddiesObservations.load_file(filename, include_vars=vars_)
         else:
             e = EddiesObservations.load_file(filename, include_vars=vars)
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 6ca606cd..a78840bf 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -58,7 +58,7 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
         # plot
         self.fig = pyplot.figure(figsize=figsize)
         t0, t1 = self.period
-        self.fig.suptitle(f'{t0} -> {t1}')
+        self.fig.suptitle(f"{t0} -> {t1}")
         self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
         self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
         self.ax.set_aspect("equal")
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 4c62dead..2be8b184 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -145,6 +145,30 @@ def distance(lon0, lat0, lon1, lat1):
     return 6370997.0 * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
 
 
+@njit(cache=True)
+def cumsum_by_track(field, track):
+    """
+    Cumsum by track
+
+    :param array field: data to sum
+    :pram array(int) track: id of track to separate data
+    :return: cumsum with a reset at each start of track
+    :rtype: array
+    """
+    tr_previous = 0
+    d_cum = 0
+    cumsum_array = empty(track.shape, dtype=field.dtype)
+    for i in range(field.shape[0]):
+        tr = track[i]
+        if tr != tr_previous:
+            d_cum = 0
+        cumsum_array[i] = d_cum
+        d_cum += field[i]
+        tr_previous = tr
+    cumsum_array[i + 1] = d_cum
+    return cumsum_array
+
+
 @njit(cache=True, fastmath=True)
 def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     """
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d3affc17..ef911fcd 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -60,7 +60,7 @@
 from tokenize import TokenError
 from tarfile import ExFileObject
 from matplotlib.path import Path as BasePath
-from .. import VAR_DESCR, VAR_DESCR_inv
+from .. import VAR_DESCR, VAR_DESCR_inv, __version__
 from ..generic import (
     distance_grid,
     distance,
@@ -1318,6 +1318,7 @@ def global_attr(self):
             Metadata_Conventions="Unidata Dataset Discovery v1.0",
             comment="Surface product; mesoscale eddies",
             framework_used="https://github.com/AntSimi/py-eddy-tracker",
+            framework_version=__version__,
             standard_name_vocabulary="NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table",
             rotation_type=self.sign_type,
         )
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 5e4df17e..e83e7919 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -38,14 +38,14 @@
     zeros,
     array,
     median,
-    histogram
+    histogram,
 )
 from datetime import datetime, timedelta
 from numba import njit
 from Polygon import Polygon
 from .observation import EddiesObservations
 from .. import VAR_DESCR_inv
-from ..generic import split_line, wrap_longitude, build_index
+from ..generic import split_line, wrap_longitude, build_index, distance, cumsum_by_track
 from ..poly import polygon_overlap, create_vertice_from_2darray
 
 
@@ -56,7 +56,7 @@ class TrackEddiesObservations(EddiesObservations):
     """Class to practice Tracking on observations
     """
 
-    __slots__ = ("__obs_by_track", "__first_index_of_track")
+    __slots__ = ("__obs_by_track", "__first_index_of_track", "__nb_track")
 
     ELEMENTS = [
         "lon",
@@ -85,6 +85,16 @@ def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.__first_index_of_track = None
         self.__obs_by_track = None
+        self.__nb_track = None
+
+    @property
+    def nb_tracks(self):
+        """
+        Will count and send number of track
+        """
+        if self.__nb_track is None:
+            self.__nb_track = (self.nb_obs_by_track != 0).sum()
+        return self.__nb_track
 
     def __repr__(self):
         content = super().__repr__()
@@ -94,23 +104,56 @@ def __repr__(self):
         nb_obs = self.observations.shape[0]
         m = self["virtual"].astype("bool")
         nb_m = m.sum()
-        bins_t = (0, 20, 50, 100, 200, 1000, 10000)
+        bins_t = (1, 20, 50, 100, 200, 1000, 10000)
         nb_tracks_by_t = histogram(nb, bins=bins_t)[0]
         nb_obs_by_t = histogram(nb, bins=bins_t, weights=nb)[0]
-        pct_tracks_by_t = nb_tracks_by_t / nb_tracks_by_t.sum() * 100.
-        pct_obs_by_t = nb_obs_by_t / nb_obs_by_t.sum() * 100.
+        pct_tracks_by_t = nb_tracks_by_t / nb_tracks_by_t.sum() * 100.0
+        pct_obs_by_t = nb_obs_by_t / nb_obs_by_t.sum() * 100.0
+        d = self.distance_to_next() / 1000.0
+        cum_d = cumsum_by_track(d, self.tracks)
+        m_last = ones(d.shape, dtype="bool")
+        m_last[-1] = False
+        m_last[self.index_from_track[1:] - 1] = False
         content += f"""
-    | {nb.shape[0]} tracks ({nb.mean():.2f} obs/tracks, shorter {nb.min()} obs, longer {nb.max()} obs)
-    |   {nb_m} filled observations ({nb_m / nb.shape[0]:.2f} obs/tracks, {nb_m / nb_obs * 100:.2f} % of total)
-    |   Intepolated speed area : {self["speed_area"][m].sum() / period / 1e12:.2f} Mkm²/day
-    |   Intepolated effective area : {self["effective_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    | {self.nb_tracks} tracks ({
+        nb_obs / self.nb_tracks:.2f} obs/tracks, shorter {nb[nb!=0].min()} obs, longer {nb.max()} obs)
+    |   {nb_m} filled observations ({nb_m / self.nb_tracks:.2f} obs/tracks, {nb_m / nb_obs * 100:.2f} % of total)
+    |   Intepolated speed area      : {self["speed_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    |   Intepolated effective area  : {self["effective_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    |   Distance by day             : Mean {d[m_last].mean():.2f} , Median {median(d[m_last]):.2f} km/day
+    |   Distance by track           : Mean {cum_d[~m_last].mean():.2f} , Median {median(cum_d[~m_last]):.2f} km/track
     ----Distribution in lifetime:
     |   Lifetime (days  )      {self.box_display(bins_t)}
     |   Percent of tracks         : {self.box_display(pct_tracks_by_t)}
-    |   Percent of eddies         : {self.box_display(pct_obs_by_t)}
-"""
+    |   Percent of eddies         : {self.box_display(pct_obs_by_t)}"""
         return content
 
+    def add_distance(self):
+        """Add a field of distance (m) between to consecutive observation, 0 for the last observation of each track
+        """
+        if "distance_next" in self.observations.dtype.descr:
+            return self
+        new = self.add_fields(("distance_next",))
+        new["distance_next"][:1] = self.distance_to_next()
+        return new
+
+    def distance_to_next(self):
+        """
+        :return: array of distance in m, 0 when next obs if from another track
+        :rtype: array
+        """
+        d = distance(
+            self.longitude[:-1],
+            self.latitude[:-1],
+            self.longitude[1:],
+            self.latitude[1:],
+        )
+        d[self.index_from_track[1:] - 1] = 0
+        d_ = empty(d.shape[0] + 1, dtype=d.dtype)
+        d_[:-1] = d
+        d_[-1] = 0
+        return d_
+
     def filled_by_interpolation(self, mask):
         """Filled selected values by interpolation
         """
@@ -329,15 +372,14 @@ def __extract_with_mask(
     ):
         """
         Extract a subset of observations
-        Args:
-            mask: mask to select observations
-            full_path: extract full path if only one part is selected
-            remove_incomplete: delete path which are not fully selected
-            compress_id: resample track number to use a little range
-            reject_virtual: if track are only virtual in selection we remove track
-
-        Returns:
-            same object with selected observations
+
+        :param array(bool) mask: mask to select observations
+        :param full_path: extract full path if only one part is selected
+        :param remove_incomplete: delete path which are not fully selected
+        :param compress_id: resample track number to use a little range
+        :param reject_virtual: if track are only virtual in selection we remove track
+        :return: same object with selected observations
+        :rtype: self
         """
         if full_path and remove_incomplete:
             logger.warning(
@@ -373,6 +415,14 @@ def __extract_with_mask(
         return new
 
     def plot(self, ax, ref=None, **kwargs):
+        """
+        This function will draw path of each track
+
+        :param matplotlib.axes.Axes ax: ax where drawed
+        :param float,int ref: if defined all coordinates will be wrapped with ref like west boundary
+        :param dict kwargs: keyword arguments for Axes.plot
+        :return: matplotlib mappable
+        """
         if "label" in kwargs:
             kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
         x, y = split_line(self.longitude, self.latitude, self.tracks)
@@ -436,7 +486,15 @@ def split_network(self, intern=True, **kwargs):
         # )
 
     def set_tracks(self, x, y, ids, window):
-        # Will split one group in tracks
+        """
+        Will split one group in tracks
+
+        :param array x: coordinates of group
+        :param array y: coordinates of group
+        :param ndarray ids: several fields like time, group, ...
+        :param int windows: number of days where observations could missed
+        """
+
         time_index = build_index(ids["time"])
         nb = x.shape[0]
         used = zeros(nb, dtype="bool")

From 28fe7891236e72e1f34e24e8640c638bac1eaae4 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 25 Sep 2020 18:58:27 +0200
Subject: [PATCH 112/441] Add link to an example of tracking

---
 doc/run_tracking.rst                                         | 5 +++++
 .../02_eddy_identification/pet_interp_grid_on_dataset.py     | 2 +-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 4903e16b..95fa45f4 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -49,6 +49,11 @@ It will produce 4 files by run:
 - A file which will contains all the short track which are shorter than **TRACK_DURATION_MIN**
 - A file which will contains all the long track which are longer than **TRACK_DURATION_MIN**
 
+Use python module
+*****************
+
+An example of tracking with python module is available in the gallery:
+:ref:`sphx_glr_python_module_08_tracking_manipulation_pet_run_a_tracking.py`
 
 Choose a tracker
 ****************
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index 7c41469c..b5181c3c 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -58,7 +58,7 @@ def update_axes(ax, mappable=None):
 a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
 eke = a.interp_grid(aviso_map, "eke", method="mean", intern=False)
-m = ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)
+ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)
 eke = c.interp_grid(aviso_map, "eke", method="mean", intern=False)
 m = ax.scatter((c.longitude + 10) % 360 - 10, c.latitude, c=eke, **eke_kwargs)
 update_axes(ax, m)

From 18f199ffde0e5d169349fc80c321f96ca744f123 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 25 Sep 2020 23:55:44 +0200
Subject: [PATCH 113/441] documentation issue template

---
 .github/ISSUE_TEMPLATE/need_documentation.md | 27 ++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/need_documentation.md

diff --git a/.github/ISSUE_TEMPLATE/need_documentation.md b/.github/ISSUE_TEMPLATE/need_documentation.md
new file mode 100644
index 00000000..bafd959d
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/need_documentation.md
@@ -0,0 +1,27 @@
+---
+name: Documentation improvement
+about: Create a report to help us improve the documentation
+labels: Documentation
+# This template is based on the matplotlib template
+---
+
+### Problem
+
+<!--
+If you are referencing an existing piece of documentation or example please provide a link.
+
+* I found [...] to be unclear because [...]
+* [...] made me think that [...] when really it should be [...]
+* There is no example showing how to do [...]
+-->
+
+
+### Suggested Improvement
+
+<!--
+If you have an idea to improve the documentation please suggest it here
+
+* This line should be changed to say [...]
+* Include a paragraph explaining [...]
+* Add a figure showing [...]
+-->
\ No newline at end of file

From f4ba6c001a20090a82deffce8c239d238ca2df22 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 26 Sep 2020 00:08:05 +0200
Subject: [PATCH 114/441] add docstring to write_file

---
 .github/ISSUE_TEMPLATE/need_documentation.md    | 2 +-
 src/py_eddy_tracker/observations/observation.py | 7 ++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE/need_documentation.md b/.github/ISSUE_TEMPLATE/need_documentation.md
index bafd959d..cd46ed63 100644
--- a/.github/ISSUE_TEMPLATE/need_documentation.md
+++ b/.github/ISSUE_TEMPLATE/need_documentation.md
@@ -1,7 +1,7 @@
 ---
 name: Documentation improvement
 about: Create a report to help us improve the documentation
-labels: Documentation
+labels: documentation
 # This template is based on the matplotlib template
 ---
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ef911fcd..ad964d08 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1293,7 +1293,12 @@ def create_variable_zarr(
     def write_file(
         self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=False
     ):
-        """Write a netcdf with eddy obs
+        """Write a netcdf or zarr with eddy obs.
+        Zarr is usefull for large dataset > 10M observations
+
+        :param str path: set path variable
+        :param str filename: model to store file
+        :param bool zarr_flag: If True, method will use zarr format instead of netcdf
         """
         filename = filename % dict(
             path=path,

From e47637fbb634a35b59bdba15fd60f205bcafaca5 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sun, 27 Sep 2020 23:21:03 +0200
Subject: [PATCH 115/441] Start use of sphinx-gallery : minigallery in
 docstring

---
 .gitignore                                    |  1 +
 doc/conf.py                                   |  2 ++
 .../pet_display_track.py                      |  7 +++++-
 .../pet_display_track.ipynb                   | 24 ++++++++++++++++---
 src/py_eddy_tracker/observations/tracking.py  | 16 ++++++++++++-
 5 files changed, 45 insertions(+), 5 deletions(-)

diff --git a/.gitignore b/.gitignore
index d5d00735..050b49a5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -70,6 +70,7 @@ instance/
 
 # Sphinx documentation
 docs/_build/
+doc/gen_modules/
 
 # PyBuilder
 target/
diff --git a/doc/conf.py b/doc/conf.py
index f1da6f48..233412d9 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -46,6 +46,8 @@
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "python_module",
     "capture_repr": ("_repr_html_",),
+    "backreferences_dir": "gen_modules/backreferences",
+    "doc_module": ("py_eddy_tracker",),
     "line_numbers": False,
     "filename_pattern": "/pet",
     "binder": {
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index ef74218a..46e17a0f 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -9,15 +9,20 @@
 import py_eddy_tracker_sample
 
 # %%
-# Load experimental atlas, and keep only eddies longer than 20 weeks
+# Load experimental atlas
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
+print(a)
+
+# %%
+# keep only eddies longer than 20 weeks, use -1 to have no upper limit
 a = a.extract_with_length((7 * 20, -1))
 c = c.extract_with_length((7 * 20, -1))
+print(a)
 
 # %%
 # Position filtering for nice display
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index fbc3a93c..34989f51 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nDisplay Tracks\n======================\n"
+        "\n# Display Tracks\n"
       ]
     },
     {
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Load experimental atlas, and keep only eddies longer than 20 weeks\n\n"
+        "Load experimental atlas\n\n"
       ]
     },
     {
@@ -44,7 +44,25 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.extract_with_length((7 * 20, -1))\nc = c.extract_with_length((7 * 20, -1))"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nprint(a)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "keep only eddies longer than 20 weeks\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = a.extract_with_length((7 * 20, -1))\nc = c.extract_with_length((7 * 20, -1))\nprint(a)"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index e83e7919..0591f34f 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -233,7 +233,11 @@ def extract_with_area(self, area, **kwargs):
         Extract with a bounding box
 
         :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
+        :param dict kwargs: look at :py:meth:`__extract_with_mask`
+        :return: Return all eddy tracks which are in bounds
+        :rtype: TrackEddiesObservations
 
+        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_area
         """
         mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
         lon0 = area["llcrnrlon"]
@@ -246,8 +250,11 @@ def extract_with_period(self, period, **kwargs):
         Extract with a period
 
         :param (datetime.datetime,datetime.datetime) period: two date to define period, must be specify from 1/1/1950
+        :param dict kwargs: look at :py:meth:`__extract_with_mask`
+        :return: Return all eddy tracks which are in bounds
+        :rtype: TrackEddiesObservations
 
-        :return: same object with selected data
+        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_period
         """
         dataset_period = self.period
         p_min, p_max = period
@@ -324,6 +331,13 @@ def extract_in_direction(self, direction, value=0):
         return self.__extract_with_mask(mask)
 
     def extract_with_length(self, bounds):
+        """
+        :param (int,int) bounds: length min and max of selected eddies, if use of -1 this bound is not used
+        :return: Return all eddy tracks which have length between bounds
+        :rtype: TrackEddiesObservations
+
+        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_length
+        """
         b0, b1 = bounds
         if b0 >= 0 and b1 >= 0:
             track_mask = (self.nb_obs_by_track >= b0) * (self.nb_obs_by_track <= b1)

From 0f805062c30d0b9038a8e102367d97e98f7b0336 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 28 Sep 2020 00:19:34 +0200
Subject: [PATCH 116/441] Add new method of observation display

---
 doc/conf.py                                   |  6 +-
 .../02_eddy_identification/pet_display_id.py  | 21 ++++++-
 .../pet_display_id.ipynb                      | 53 +++++++++++++++++-
 .../observations/observation.py               | 56 +++++++++++++++++++
 src/py_eddy_tracker/observations/tracking.py  |  6 +-
 5 files changed, 133 insertions(+), 9 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 233412d9..43654b27 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -326,4 +326,8 @@
 
 
 # Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {"https://docs.python.org/": None}
+intersphinx_mapping = {
+    "numpy": ("https://numpy.org/doc/stable/", None),
+    "python": ("https://docs.python.org/3/", None),
+    "matplotlib": ("https://matplotlib.org/", None),
+}
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index ed1dadcb..1a000c13 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -14,12 +14,29 @@
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
 # %%
-# Plot
+# draw contour
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_subplot(111)
+ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
 ax.set_aspect("equal")
 ax.set_xlim(0, 360)
 ax.set_ylim(-80, 80)
 a.display(ax, label="Anticyclonic", color="r", lw=1)
 c.display(ax, label="Cyclonic", color="b", lw=1)
 ax.legend(loc="upper right")
+
+# %%
+# filled contour
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+ax.set_aspect("equal")
+ax.set_xlim(0, 140)
+ax.set_ylim(-80, 0)
+a.display(ax, label="Anticyclonic", color="r", lw=1)
+m = a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
+plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+plt.show()
+# %%
+# Get general informations
+print(a)
+# %%
+print(c)
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 57ca57d2..c9a18623 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nDisplay identification\n======================\n"
+        "\n# Display identification\n"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot\n\n"
+        "draw contour\n\n"
       ]
     },
     {
@@ -62,7 +62,54 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_subplot(111)\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.94, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "filled contour\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nm = a.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nplt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\nplt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get general informations\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(a)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(c)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ad964d08..2a1e4efa 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -60,6 +60,9 @@
 from tokenize import TokenError
 from tarfile import ExFileObject
 from matplotlib.path import Path as BasePath
+from matplotlib.collections import PolyCollection
+from matplotlib.cm import get_cmap
+from matplotlib.colors import Normalize
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
 from ..generic import (
     distance_grid,
@@ -1342,9 +1345,62 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
 
+    def filled(
+        self,
+        ax,
+        varname,
+        intern=False,
+        cmap="magma_r",
+        lut=10,
+        vmin=None,
+        vmax=None,
+        **kwargs,
+    ):
+        """
+        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param str varname: var which will be use to fill contour
+        :param bool intern: if True draw speed contour instead of effective contour
+        :param str cmap: matplotlib colormap name
+        :param int,None lut: Number of division of colormaps
+        :param float,None vmin:
+        :param float,None vmax:
+        :return: Collection drawed
+        :rtype: matplotlib.collections.PolyCollection
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.filled
+        """
+        cmap = get_cmap(cmap, lut)
+        x_name, y_name = self.intern(intern)
+        x, y, v = self[x_name], self[y_name], self[varname]
+        if vmin is None:
+            vmin = v.min()
+        if vmax is None:
+            vmax = v.max()
+        v = (v - vmin) / (vmax - vmin)
+        verts = list()
+        colors = list()
+        for x_, y_, v_ in zip(x, y, v):
+            verts.append(create_vertice(x_, y_))
+            colors.append(cmap(v_))
+        c = PolyCollection(verts, facecolors=colors, **kwargs)
+        ax.add_collection(c)
+        c.cmap = cmap
+        c.norm = Normalize(vmin=vmin, vmax=vmax)
+        return c
+
     def display(
         self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
     ):
+        """
+        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param float,None ref: if define use like west bound
+        :param bool extern_only: if True draw effective contour only
+        :param bool intern_only: if True draw speed contour only
+        :param bool nobs: if True add number of eddies in label
+        :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.plot`
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.display
+        """
         if not extern_only:
             lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
             lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 0591f34f..1918ba83 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -237,7 +237,7 @@ def extract_with_area(self, area, **kwargs):
         :return: Return all eddy tracks which are in bounds
         :rtype: TrackEddiesObservations
 
-        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_area
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_area
         """
         mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
         lon0 = area["llcrnrlon"]
@@ -254,7 +254,7 @@ def extract_with_period(self, period, **kwargs):
         :return: Return all eddy tracks which are in bounds
         :rtype: TrackEddiesObservations
 
-        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_period
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_period
         """
         dataset_period = self.period
         p_min, p_max = period
@@ -336,7 +336,7 @@ def extract_with_length(self, bounds):
         :return: Return all eddy tracks which have length between bounds
         :rtype: TrackEddiesObservations
 
-        .. minigallery:: py_eddy_tracker.observations.tracking.TrackEddiesObservations.extract_with_length
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_length
         """
         b0, b1 = bounds
         if b0 >= 0 and b1 >= 0:

From 251569b8a20eb26f8d66656f40b9fa1f44353e4f Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 28 Sep 2020 10:18:20 +0200
Subject: [PATCH 117/441] add docstring

---
 .../02_eddy_identification/pet_display_id.py  | 27 +++++++++++--------
 .../pet_display_id.ipynb                      |  8 +++---
 src/py_eddy_tracker/dataset/grid.py           |  1 +
 .../observations/observation.py               | 16 +++++++++++
 4 files changed, 37 insertions(+), 15 deletions(-)

diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index 1a000c13..fa287867 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -13,6 +13,22 @@
 a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
+# %%
+# filled contour with amplitude field
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+ax.set_aspect("equal")
+ax.set_xlim(0, 140)
+ax.set_ylim(-80, 0)
+kwargs = dict(extern_only=True, color="k", lw=1)
+a.display(ax, **kwargs), c.display(ax, **kwargs)
+a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
+m = c.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
+colorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+colorbar.set_label('Amplitude (m)')
+
+plt.show()
+
 # %%
 # draw contour
 fig = plt.figure(figsize=(15, 8))
@@ -24,17 +40,6 @@
 c.display(ax, label="Cyclonic", color="b", lw=1)
 ax.legend(loc="upper right")
 
-# %%
-# filled contour
-fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
-ax.set_aspect("equal")
-ax.set_xlim(0, 140)
-ax.set_ylim(-80, 0)
-a.display(ax, label="Anticyclonic", color="r", lw=1)
-m = a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
-plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
-plt.show()
 # %%
 # Get general informations
 print(a)
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index c9a18623..1d185c9c 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "draw contour\n\n"
+        "filled contour with amplitude field\n\n"
       ]
     },
     {
@@ -62,14 +62,14 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.94, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\ncolorbar.set_label('Amplitude (m)')\n\nplt.show()"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "filled contour\n\n"
+        "draw contour\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nm = a.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nplt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\nplt.show()"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.94, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 7cfeefb6..ce45dd79 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -593,6 +593,7 @@ def eddy_identification(
         :return: Return a list of 2 elements: Anticyclone and Cyclone
         :rtype: py_eddy_tracker.observations.observation.EddiesObservations
 
+        .. minigallery:: py_eddy_tracker.GridDataset.eddy_identification
         """
         if not isinstance(date, datetime):
             raise Exception("Date argument be a datetime object")
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 2a1e4efa..7f2013bf 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -322,6 +322,11 @@ def add_rotation_type(self):
         return new
 
     def circle_contour(self):
+        """
+        Set contour like a circle with radius and center data
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.circle_contour
+        """
         angle = radians(linspace(0, 360, self.track_array_variables))
         x_norm, y_norm = cos(angle), sin(angle)
         for i, obs in enumerate(self):
@@ -1423,6 +1428,17 @@ def display(
             ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
 
     def grid_count(self, bins, intern=False, center=False):
+        """
+        Compute count of eddies in each bin (use of all pixel in each contour)
+
+        :param (numpy.array,numpy.array) bins: bins to compute count
+        :param bool intern: if True use speed contour only
+        :param bool center: if True use of center to count
+        :return: return grid of count
+        :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.grid_count
+        """
         x_name, y_name = self.intern(intern)
         x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
         x0 = bins[0][0]

From d31e437d8129c86723ce9c778e3fbb59895a8ecd Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 28 Sep 2020 13:51:07 +0200
Subject: [PATCH 118/441] add docstring change time bins for __repr__ transfer
 sign_type when we use index()

---
 requirements.txt                              |  2 +-
 src/py_eddy_tracker/dataset/grid.py           | 35 ++++++++++++++++---
 .../observations/observation.py               | 28 +++++++++++++++
 src/py_eddy_tracker/observations/tracking.py  |  6 +++-
 4 files changed, 64 insertions(+), 7 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index eae54426..7a56aea4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,5 +9,5 @@ pyyaml
 requests
 scipy
 zarr
-# for binder
+# for binder an documentation
 pyeddytrackersample
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index ce45dd79..2d850030 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1317,6 +1317,15 @@ def _low_filter(self, grid_name, w_cut, **kwargs):
     def convolve_filter_with_dynamic_kernel(
         self, grid, kernel_func, lat_max=85, extend=False, **kwargs_func
     ):
+        """
+        :param str grid: grid name
+        :param func kernel_func: function of kernel to use
+        :param float lat_max: absolute latitude above no filtering apply
+        :param bool extend: if False, only non masked value will return a filtered value
+        :param dict kwargs_func: look at kernel_func
+        :return: filtered value
+        :rtype: array
+        """
         if (abs(self.y_c) > lat_max).any():
             logger.warning("No filtering above %f degrees of latitude", lat_max)
         if isinstance(grid, str):
@@ -1409,7 +1418,7 @@ def lanczos_high_filter(
             lat_max=lat_max,
             wave_length=wave_length,
             order=order,
-            **kwargs
+            **kwargs,
         )
         self.vars[grid_name] -= data_out
 
@@ -1421,7 +1430,7 @@ def lanczos_low_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwar
             lat_max=lat_max,
             wave_length=wave_length,
             order=order,
-            **kwargs
+            **kwargs,
         )
         self.vars[grid_name] = data_out
 
@@ -1436,6 +1445,15 @@ def bessel_band_filter(self, grid_name, wave_length_inf, wave_length_sup, **kwar
         self.vars[grid_name] -= data_out
 
     def bessel_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwargs):
+        """
+        :param str grid_name: grid to filter, data will replace original one
+        :param float wave_length: in km
+        :param int order: order to use, if > 1 negativ value will be present in kernel
+        :param float lat_max: absolute latitude above no filtering apply
+        :param dict kwargs: look at :py:meth:`RegularGridDataset.convolve_filter_with_dynamic_kernel`
+
+        .. minigallery:: py_eddy_tracker.RegularGridDataset.bessel_high_filter
+        """
         logger.debug(
             "Run filtering with wave of %(wave_length)s km and order of %(order)s ...",
             dict(wave_length=wave_length, order=order),
@@ -1446,7 +1464,7 @@ def bessel_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwar
             lat_max=lat_max,
             wave_length=wave_length,
             order=order,
-            **kwargs
+            **kwargs,
         )
         logger.debug("Filtering done")
         self.vars[grid_name] -= data_out
@@ -1458,7 +1476,7 @@ def bessel_low_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwarg
             lat_max=lat_max,
             wave_length=wave_length,
             order=order,
-            **kwargs
+            **kwargs,
         )
         self.vars[grid_name] = data_out
 
@@ -1688,7 +1706,14 @@ def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
 
     def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         """Compute a u and v grid
-               """
+
+        :param str grid_height: grid name where funtion will apply stencil method
+        :param str uname: future name of u
+        :param str vname: future name of v
+        :param int stencil_halfwidth: largest stencil could be apply
+
+        .. minigallery:: py_eddy_tracker.RegularGridDataset.add_uv
+        """
         logger.info("Add u/v variable with stencil method")
         data = self.grid(grid_height)
         h_dict = self.variables_description[grid_height]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7f2013bf..3bfbf0b3 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -492,6 +492,7 @@ def index(self, index, reverse=False):
             size = len(index)
         eddies = self.new_like(self, size)
         eddies.obs[:] = self.obs[index]
+        eddies.sign_type = self.sign_type
         return eddies
 
     @staticmethod
@@ -817,6 +818,14 @@ def intern(flag, public_label=False):
 
     def match(self, other, intern=False, cmin=0):
         """return index and score compute with area
+
+        :param EddiesObservations other: Observations to compare
+        :param bool intern: if True, speed contour will be used
+        :param float cmin: 0 < cmin < 1, return only couple above cmin
+        :return: return index of couple in self and other and cost value
+        :rtype: (array(int), array(int), array(float))
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.match
         """
         x_name, y_name = self.intern(intern)
         i, j = bbox_intersection(
@@ -1345,6 +1354,15 @@ def set_global_attr_netcdf(self, h_nc):
             h_nc.setncattr(key, item)
 
     def scatter(self, ax, name, ref=None, factor=1, **kwargs):
+        """
+        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param str name: var which will be use to fill contour
+        :param float,None ref: if define use like west bound
+        :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
+        :return: scatter mappable
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.scatter
+        """
         x = self.longitude
         if ref is not None:
             x = (x - ref) % 360 + ref
@@ -1478,6 +1496,16 @@ def grid_count(self, bins, intern=False, center=False):
         return regular_grid
 
     def grid_stat(self, bins, varname):
+        """
+        Compute mean of eddies in each bin
+
+        :param (numpy.array,numpy.array) bins: bins to compute count
+        :param str varname: name of variable to compute mean
+        :return: return grid of mean
+        :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.grid_stat
+        """
         x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
         x0 = bins[0][0]
         x, y = (self.longitude - x0) % 360 + x0, self.latitude
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 1918ba83..72747649 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -104,7 +104,7 @@ def __repr__(self):
         nb_obs = self.observations.shape[0]
         m = self["virtual"].astype("bool")
         nb_m = m.sum()
-        bins_t = (1, 20, 50, 100, 200, 1000, 10000)
+        bins_t = (1, 30, 90, 180, 270, 365, 1000, 10000)
         nb_tracks_by_t = histogram(nb, bins=bins_t)[0]
         nb_obs_by_t = histogram(nb, bins=bins_t, weights=nb)[0]
         pct_tracks_by_t = nb_tracks_by_t / nb_tracks_by_t.sum() * 100.0
@@ -156,6 +156,10 @@ def distance_to_next(self):
 
     def filled_by_interpolation(self, mask):
         """Filled selected values by interpolation
+
+        :param array(bool) mask: True if must be filled by interpolation
+
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.filled_by_interpolation
         """
         nb_filled = mask.sum()
         logger.info("%d obs will be filled (unobserved)", nb_filled)

From 55860fbdc16f6229802165ba530006390ed79cb2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 29 Sep 2020 12:51:24 +0200
Subject: [PATCH 119/441] check if contour is available

---
 src/py_eddy_tracker/gui.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index c9118200..e1292df2 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -188,10 +188,11 @@ def update(self):
             if len(i) == 0:
                 self.m[name]["contour_s"].set_data([], [])
             else:
-                self.m[name]["contour_s"].set_data(
-                    flatten_line_matrix(dataset["contour_lon_s"][i]),
-                    flatten_line_matrix(dataset["contour_lat_s"][i]),
-                )
+                if 'contour_lon_s' in dataset.elements:
+                    self.m[name]["contour_s"].set_data(
+                        flatten_line_matrix(dataset["contour_lon_s"][i]),
+                        flatten_line_matrix(dataset["contour_lat_s"][i]),
+                    )
             # text.append(f"{i.shape[0]}")
             local_path = dataset.extract_ids(dataset["track"][i])
             x, y, t, n, tr = (

From 8f9e9cf1411e1f6eb79adfe2135a62f93a4c0baa Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 29 Sep 2020 15:05:23 +0200
Subject: [PATCH 120/441] Add example: how work detection on gulf stream

---
 .../pet_eddy_detection_gulf_stream.py         | 131 ++++++++++
 notebooks/README.md                           |   1 +
 .../pet_eddy_detection_gulf_stream.ipynb      | 245 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  23 ++
 src/py_eddy_tracker/eddy_feature.py           |   7 +-
 5 files changed, 402 insertions(+), 5 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb

diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
new file mode 100644
index 00000000..e273d152
--- /dev/null
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -0,0 +1,131 @@
+"""
+Eddy detection Gulf stream
+==========================
+
+Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
+
+Figures will show different step to detect eddies.
+
+"""
+from datetime import datetime
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+from py_eddy_tracker.eddy_feature import Contours
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 8))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(279, 304), ax.set_ylim(29, 44)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load Input grid, ADT will be used to detect eddies
+margin = 30
+g = RegularGridDataset(
+    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    "longitude",
+    "latitude",
+    # Manual area subset
+    indexs=dict(
+        longitude=slice(1116 - margin, 1216 + margin),
+        latitude=slice(476 - margin, 536 + margin),
+    ),
+)
+
+ax = start_axes("ADT (m)")
+m = g.display(ax, "adt", vmin=-0.15, vmax=1)
+# Draw line on the gulf stream front
+great_current = Contours(g.x_c, g.y_c, g.grid("adt"), levels=(0.35,), keep_unclose=True)
+great_current.display(ax, color="k")
+update_axes(ax, m)
+
+# %%
+# Get u/v
+# -------
+# U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2°)
+g.add_uv("adt")
+
+# %%
+# Pre-processings
+# ---------------
+# Apply high filter to remove long scale to highlight mesoscale
+g.bessel_high_filter("adt", 700)
+ax = start_axes("ADT (m) filtered (700km)")
+m = g.display(ax, "adt", vmin=-0.25, vmax=0.25)
+great_current.display(ax, color="k")
+update_axes(ax, m)
+
+# %%
+# Identification
+# --------------
+# run identification with slice of 2 mm
+date = datetime(2016, 5, 15)
+a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
+
+# %%
+# All closed contour found in this input grid (Display only 1 contour every 5)
+ax = start_axes("ADT closed contour (only 1 / 5 levels)")
+g.contours.display(ax, step=5, lw=1)
+great_current.display(ax, color="k")
+update_axes(ax)
+
+# %%
+# Contours include in eddies
+ax = start_axes("ADT contour used as eddies")
+g.contours.display(ax, only_used=True, lw=0.25)
+great_current.display(ax, color="k")
+update_axes(ax)
+
+# %%
+# Contours reject from several origin (shape error to high, several extremum in contour, ...)
+ax = start_axes("ADT contour reject")
+g.contours.display(ax, only_unused=True, lw=0.25)
+great_current.display(ax, color="k")
+update_axes(ax)
+
+# %%
+# Contours closed which contains several eddies
+ax = start_axes("ADT contour reject but which contain eddies")
+g.contours.label_contour_unused_which_contain_eddies(a)
+g.contours.label_contour_unused_which_contain_eddies(c)
+g.contours.display(
+    ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour"
+)
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+ax.legend()
+update_axes(ax)
+
+# %%
+# Output
+# ------
+# Display detected eddies, dashed lines represent effective contour
+# and solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+
+ax = start_axes("Eddies detected")
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+ax.legend()
+great_current.display(ax, color="k")
+update_axes(ax)
+
+
+# %%
+# Display speed radius of eddies detected
+ax = start_axes("Eddies speed radius (km)")
+a.filled(ax, "radius_e", vmin=10, vmax=150, cmap="magma_r", factor=0.001, lut=14)
+m = c.filled(ax, "radius_e", vmin=10, vmax=150, cmap="magma_r", factor=0.001, lut=14)
+great_current.display(ax, color="k")
+update_axes(ax, m)
diff --git a/notebooks/README.md b/notebooks/README.md
index aed4f093..6640e425 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,3 +1,4 @@
 python setup.py install
+# rm build/sphinx/ doc/python_module/ doc/gen_modules/ -rf
 python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
new file mode 100644
index 00000000..3076ca90
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -0,0 +1,245 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Eddy detection Gulf stream\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 8))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(279, 304), ax.set_ylim(29, 44)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT will be used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "margin = 30\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n    # Manual area subset\n    indexs=dict(\n        longitude=slice(1116 - margin, 1216 + margin),\n        latitude=slice(476 - margin, 536 + margin),\n    ),\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=1)\n# Draw line on the gulf stream front\ngreat_current = Contours(g.x_c, g.y_c, g.grid(\"adt\"), levels=(0.35,), keep_unclose=True)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Get u/v\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g.add_uv(\"adt\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Pre-processings\nApply high filter to remove long scale to highlight mesoscale\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g.bessel_high_filter(\"adt\", 700)\nax = start_axes(\"ADT (m) filtered (700km)\")\nm = g.display(ax, \"adt\", vmin=-0.25, vmax=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Identification\nrun identification with slice of 2 mm\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "All closed contour found in this input grid (Display only 1 contour every 5)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT closed contour (only 1 / 5 levels)\")\ng.contours.display(ax, step=5, lw=1)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours include in eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours closed which contains several eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Output\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display speed radius of eddies detected\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies speed radius (km)\")\na.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\nm = c.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 2d850030..f9168b90 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -442,6 +442,10 @@ def units(self, varname):
             if hasattr(var, "units"):
                 return var.units
 
+    @property
+    def variables(self):
+        return self.variables_description.keys()
+
     def copy(self, grid_in, grid_out):
         """
         Duplicate a variable
@@ -1774,12 +1778,31 @@ def init_speed_coef(self, uname="u", vname="v"):
         self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
     def display(self, ax, name, factor=1, **kwargs):
+        """
+        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param str name: variable to display
+        :param float factor: multiply grid by
+        :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.pcolormesh`
+
+        .. minigallery:: py_eddy_tracker.RegularGridDataset.display
+        """
         if "cmap" not in kwargs:
             kwargs["cmap"] = "coolwarm"
         return ax.pcolormesh(
             self.x_bounds, self.y_bounds, self.grid(name).T * factor, **kwargs
         )
 
+    def contour(self, ax, name, factor=1, **kwargs):
+        """
+        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param str name: variable to display
+        :param float factor: multiply grid by
+        :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.contour`
+
+        .. minigallery:: py_eddy_tracker.RegularGridDataset.contour
+        """
+        return ax.contour(self.x_c, self.y_c, self.grid(name).T * factor, **kwargs)
+
     def interp(self, grid_name, lons, lats):
         """
         Compute z over lons, lats
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 43fb2b34..869cef2a 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -419,17 +419,14 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
                 # Contour with less vertices than 4 are popped
                 if contour.vertices.shape[0] < 4:
                     continue
-                if keep_unclose:
-                    keep_path.append(contour)
-                    continue
                 # Remove unclosed path
                 d_closed = (
                     (contour.vertices[0, 0] - contour.vertices[-1, 0]) ** 2
                     + (contour.vertices[0, 1] - contour.vertices[-1, 1]) ** 2
                 ) ** 0.5
-                if d_closed > self.DELTA_SUP:
+                if d_closed > self.DELTA_SUP and not keep_unclose:
                     continue
-                elif d_closed != 0:
+                elif d_closed != 0 and d_closed <= self.DELTA_SUP:
                     # Repair almost closed contour
                     if d_closed > self.DELTA_PREC:
                         almost_closed_contours += 1

From 50979e0ec3ee94c92900ac8dc6b8101b12718973 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 29 Sep 2020 15:16:08 +0200
Subject: [PATCH 121/441] add missing factor

---
 src/py_eddy_tracker/observations/observation.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3bfbf0b3..216d95eb 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1358,6 +1358,7 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
         :param str name: var which will be use to fill contour
         :param float,None ref: if define use like west bound
+        :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
         :return: scatter mappable
 
@@ -1377,16 +1378,18 @@ def filled(
         lut=10,
         vmin=None,
         vmax=None,
+        factor=1,
         **kwargs,
     ):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str varname: var which will be use to fill contour
+        :param str,array varname: var which will be use to fill contour, or an array of same size of obs
         :param bool intern: if True draw speed contour instead of effective contour
         :param str cmap: matplotlib colormap name
         :param int,None lut: Number of division of colormaps
         :param float,None vmin:
         :param float,None vmax:
+        :param float factor: multiply value by
         :return: Collection drawed
         :rtype: matplotlib.collections.PolyCollection
 
@@ -1394,7 +1397,8 @@ def filled(
         """
         cmap = get_cmap(cmap, lut)
         x_name, y_name = self.intern(intern)
-        x, y, v = self[x_name], self[y_name], self[varname]
+        v = (self[varname] if isinstance(varname, str) else varname) * factor
+        x, y = self[x_name], self[y_name]
         if vmin is None:
             vmin = v.min()
         if vmax is None:

From 3b38417d960982dba33fb9bda83c36c4024b096c Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 30 Sep 2020 00:15:50 +0200
Subject: [PATCH 122/441] Add method to get first and last

---
 .../pet_birth_and_death.py                    |  81 ++++++++++
 .../pet_center_count.py                       |   2 +-
 .../pet_birth_and_death.ipynb                 | 152 ++++++++++++++++++
 .../pet_center_count.ipynb                    |   4 +-
 .../observations/observation.py               |  60 +++++++
 src/py_eddy_tracker/observations/tracking.py  |  44 ++---
 6 files changed, 310 insertions(+), 33 deletions(-)
 create mode 100644 examples/10_tracking_diagnostics/pet_birth_and_death.py
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb

diff --git a/examples/10_tracking_diagnostics/pet_birth_and_death.py b/examples/10_tracking_diagnostics/pet_birth_and_death.py
new file mode 100644
index 00000000..cce5e863
--- /dev/null
+++ b/examples/10_tracking_diagnostics/pet_birth_and_death.py
@@ -0,0 +1,81 @@
+"""
+Birth and death
+===============
+
+Following figures are based on https://doi.org/10.1016/j.pocean.2011.01.002
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import py_eddy_tracker_sample
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
+kwargs_load = dict(
+    include_vars=(
+        "longitude",
+        "latitude",
+        "observation_number",
+        "track",
+        "time",
+        "speed_contour_longitude",
+        "speed_contour_latitude",
+    )
+)
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+c = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+
+# %%
+t0, t1 = a.period
+step = 0.125
+bins = ((-10, 37, step), (30, 46, step))
+kwargs = dict(cmap="terrain_r", factor=100 / (t1 - t0), name="count", vmin=0, vmax=1)
+
+# %%
+# Cyclonic
+# --------
+ax = start_axes("Birth cyclonic frenquency (%)")
+g_c_first = c.first_obs().grid_count(bins, intern=True)
+m = g_c_first.display(ax, **kwargs)
+update_axes(ax, m)
+
+# %%
+ax = start_axes("Death cyclonic frenquency (%)")
+g_c_last = c.last_obs().grid_count(bins, intern=True)
+m = g_c_last.display(ax, **kwargs)
+update_axes(ax, m)
+
+# %%
+# Anticyclonic
+# ------------
+ax = start_axes("Birth anticyclonic frequency (%)")
+g_a_first = a.first_obs().grid_count(bins, intern=True)
+m = g_a_first.display(ax, **kwargs)
+update_axes(ax, m)
+
+# %%
+ax = start_axes("Death anticyclonic frequency (%)")
+g_a_last = a.last_obs().grid_count(bins, intern=True)
+m = g_a_last.display(ax, **kwargs)
+update_axes(ax, m)
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index cdc8189c..4f26e5d7 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -1,6 +1,6 @@
 """
 Count center
-======================
+============
 
 """
 from matplotlib import pyplot as plt
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
new file mode 100644
index 00000000..09a7505d
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
@@ -0,0 +1,152 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Birth and death\n\nFollowing figures are based on https://doi.org/10.1016/j.pocean.2011.01.002\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kwargs_load = dict(\n    include_vars=(\n        \"longitude\",\n        \"latitude\",\n        \"observation_number\",\n        \"track\",\n        \"time\",\n        \"speed_contour_longitude\",\n        \"speed_contour_latitude\",\n    )\n)\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "t0, t1 = a.period\nstep = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs = dict(cmap=\"terrain_r\", factor=100 / (t1 - t0), name=\"count\", vmin=0, vmax=1)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Cyclonic\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Birth cyclonic frenquency (%)\")\ng_c_first = c.first_obs().grid_count(bins, intern=True)\nm = g_c_first.display(ax, **kwargs)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Death cyclonic frenquency (%)\")\ng_c_last = c.last_obs().grid_count(bins, intern=True)\nm = g_c_last.display(ax, **kwargs)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anticyclonic\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Birth anticyclonic frequency (%)\")\ng_a_first = a.first_obs().grid_count(bins, intern=True)\nm = g_a_first.display(ax, **kwargs)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Death anticyclonic frequency (%)\")\ng_a_last = a.last_obs().grid_count(bins, intern=True)\nm = g_a_last.display(ax, **kwargs)\nupdate_axes(ax, m)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 644a9277..317f023e 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nCount center\n======================\n"
+        "\n# Count center\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 216d95eb..d9a3b2ae 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1353,6 +1353,43 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
+    def extract_with_area(self, area, **kwargs):
+        """
+        Extract with a bounding box
+
+        :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
+        :param dict kwargs: look at :py:meth:`extract_with_mask`
+        :return: Return all eddy tracks which are in bounds
+        :rtype: EddiesObservations
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.extract_with_area
+        """
+        mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
+        lon0 = area["llcrnrlon"]
+        lon = (self.longitude - lon0) % 360 + lon0
+        mask *= (lon > lon0) * (lon < area["urcrnrlon"])
+        return self.extract_with_mask(mask, **kwargs)
+
+    def extract_with_mask(self, mask):
+        """
+        Extract a subset of observations
+
+        :param array(bool) mask: mask to select observations
+        :return: same object with selected observations
+        :rtype: self
+        """
+        nb_obs = mask.sum()
+        new = self.__class__.new_like(self, nb_obs)
+        new.sign_type = self.sign_type
+        if nb_obs == 0:
+            logger.warning("Empty dataset will be created")
+        else:
+            for field in self.obs.dtype.descr:
+                logger.debug("Copy of field %s ...", field)
+                var = field[0]
+                new.obs[var] = self.obs[var][mask]
+        return new
+
     def scatter(self, ax, name, ref=None, factor=1, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
@@ -1449,6 +1486,29 @@ def display(
                 lon_e, lat_e = wrap_longitude(lon_e, lat_e, ref, cut=True)
             ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
 
+    def first_obs(self):
+        """
+        Get first obs of each tracks.
+
+        :rtype: __class__
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.first_obs
+        """
+        return self.extract_with_mask(self["n"] == 0)
+
+    def last_obs(self):
+        """
+        Get Last obs of each tracks.
+
+        :rtype: __class__
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.last_obs
+        """
+        m = zeros(len(self), dtype="bool")
+        m[-1] = True
+        m[:-1][self["n"][1:] == 0] = True
+        return self.extract_with_mask(m)
+
     def grid_count(self, bins, intern=False, center=False):
         """
         Compute count of eddies in each bin (use of all pixel in each contour)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 72747649..31062baf 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -232,29 +232,12 @@ def set_global_attr_netcdf(self, h_nc):
         h_nc.time_coverage_start = d_start.strftime("%Y-%m-%dT00:00:00Z")
         h_nc.time_coverage_end = d_end.strftime("%Y-%m-%dT00:00:00Z")
 
-    def extract_with_area(self, area, **kwargs):
-        """
-        Extract with a bounding box
-
-        :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
-        :param dict kwargs: look at :py:meth:`__extract_with_mask`
-        :return: Return all eddy tracks which are in bounds
-        :rtype: TrackEddiesObservations
-
-        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_area
-        """
-        mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
-        lon0 = area["llcrnrlon"]
-        lon = (self.longitude - lon0) % 360 + lon0
-        mask *= (lon > lon0) * (lon < area["urcrnrlon"])
-        return self.__extract_with_mask(mask, **kwargs)
-
     def extract_with_period(self, period, **kwargs):
         """
         Extract with a period
 
-        :param (datetime.datetime,datetime.datetime) period: two date to define period, must be specify from 1/1/1950
-        :param dict kwargs: look at :py:meth:`__extract_with_mask`
+        :param (int,int) period: two date to define period, must be specify from 1/1/1950
+        :param dict kwargs: look at :py:meth:`extract_with_mask`
         :return: Return all eddy tracks which are in bounds
         :rtype: TrackEddiesObservations
 
@@ -272,7 +255,8 @@ def extract_with_period(self, period, **kwargs):
             mask *= self.time <= p_max
         elif p_max < 0:
             mask *= self.time <= (dataset_period[1] + p_max)
-        return self.__extract_with_mask(mask, **kwargs)
+        return self.extract_with_mask(mask, **kwargs)
+
 
     def get_mask_from_id(self, tracks):
         mask = zeros(self.tracks.shape, dtype=bool_)
@@ -303,7 +287,7 @@ def nb_obs_by_track(self):
 
     def extract_ids(self, tracks):
         mask = self.get_mask_from_id(array(tracks))
-        return self.__extract_with_mask(mask)
+        return self.extract_with_mask(mask)
 
     def extract_first_obs_in_box(self, res):
         data = empty(
@@ -315,7 +299,7 @@ def extract_first_obs_in_box(self, res):
         _, indexs = unique(data, return_index=True)
         mask = zeros(self.obs.shape, dtype="bool")
         mask[indexs] = True
-        return self.__extract_with_mask(mask)
+        return self.extract_with_mask(mask)
 
     def extract_in_direction(self, direction, value=0):
         nb_obs = self.nb_obs_by_track
@@ -332,7 +316,7 @@ def extract_in_direction(self, direction, value=0):
             mask = d_lon < 0 if "W" == direction else d_lon > 0
             mask &= abs(d_lon) > value
         mask = mask.repeat(nb_obs)
-        return self.__extract_with_mask(mask)
+        return self.extract_with_mask(mask)
 
     def extract_with_length(self, bounds):
         """
@@ -352,7 +336,7 @@ def extract_with_length(self, bounds):
         else:
             logger.warning("No valid value for bounds")
             raise Exception("One bounds must be positiv")
-        return self.__extract_with_mask(track_mask.repeat(self.nb_obs_by_track))
+        return self.extract_with_mask(track_mask.repeat(self.nb_obs_by_track))
 
     def loess_filter(self, half_window, xfield, yfield, inplace=True):
         track = self.obs["track"]
@@ -380,7 +364,7 @@ def position_filter(self, median_half_window, loess_half_window):
             loess_half_window, "time", "lat"
         )
 
-    def __extract_with_mask(
+    def extract_with_mask(
         self,
         mask,
         full_path=False,
@@ -392,12 +376,12 @@ def __extract_with_mask(
         Extract a subset of observations
 
         :param array(bool) mask: mask to select observations
-        :param full_path: extract full path if only one part is selected
-        :param remove_incomplete: delete path which are not fully selected
-        :param compress_id: resample track number to use a little range
-        :param reject_virtual: if track are only virtual in selection we remove track
+        :param bool full_path: extract full path if only one part is selected
+        :param bool remove_incomplete: delete path which are not fully selected
+        :param bool compress_id: resample track number to use a little range
+        :param bool reject_virtual: if track are only virtual in selection we remove track
         :return: same object with selected observations
-        :rtype: self
+        :rtype: self.__class__
         """
         if full_path and remove_incomplete:
             logger.warning(

From 22b10ad8a03c22b00678d1dd38fe09492093c61f Mon Sep 17 00:00:00 2001
From: Arthur Capet <arthurcapet@gmail.com>
Date: Wed, 30 Sep 2020 21:10:42 +0200
Subject: [PATCH 123/441] Gallery example on data collocation (#25)

---
 examples/12_external_data/SST_collocation.py  | 143 ++++++++++++++++++
 ...T-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4 | Bin 0 -> 109339 bytes
 ...lacksea_allsat_phy_l4_20160707_20200801.nc | Bin 0 -> 129904 bytes
 3 files changed, 143 insertions(+)
 create mode 100644 examples/12_external_data/SST_collocation.py
 create mode 100644 src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4
 create mode 100644 src/py_eddy_tracker/data/dt_blacksea_allsat_phy_l4_20160707_20200801.nc

diff --git a/examples/12_external_data/SST_collocation.py b/examples/12_external_data/SST_collocation.py
new file mode 100644
index 00000000..c437f5c9
--- /dev/null
+++ b/examples/12_external_data/SST_collocation.py
@@ -0,0 +1,143 @@
+"""
+Collocating external data
+==========================
+
+Script will use py-eddy-tracker methods to upload external data (sea surface temperature, SST) in a common structure with altimetry.
+
+Figures higlights the different steps.
+
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker import data
+import cartopy.crs as ccrs
+from datetime import datetime
+from numpy import ma, meshgrid
+
+datest = '20160707'
+
+filename_alt = "../l4_cmems/dt_blacksea_allsat_phy_l4_"+datest+"_20200801.nc" 
+lon_name_alt = 'longitude'
+lat_name_alt = 'latitude'
+
+filename_sst = "../SST/"+datest+"000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4" 
+lon_name_sst = 'lon'
+lat_name_sst = 'lat'
+var_name_sst = 'analysed_sst'
+
+extent = [27, 42, 40.5, 47]
+
+# %%
+# Functions to initiate figure axes
+def start_axes(title, extent=extent, fig=None, sp=None):
+    if fig is None:
+        fig = plt.figure(figsize=(13, 5))
+        ax = fig.add_axes([0.03, 0.03, 0.90, 0.94],projection=ccrs.PlateCarree())
+    else:
+        ax = fig.add_subplot(sp,projection=ccrs.PlateCarree())
+            
+    ax.set_extent(extent)
+    ax.gridlines()
+    ax.coastlines(resolution='50m')
+    ax.set_title(title)
+    return ax
+
+def update_axes(ax, mappable=None, unit=''):
+    ax.grid()
+    if mappable:  
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9],title=unit))
+
+# %%
+# Loading SLA and first display
+# -----------------------------
+g = RegularGridDataset(data.get_path(filename_alt), lon_name_alt,lat_name_alt)
+ax = start_axes("SLA", extent=extent)
+m = g.display(ax, "sla", vmin=0.05, vmax=0.35)
+u,v = g.grid("ugosa").T,g.grid("vgosa").T
+ax.quiver(g.x_c, g.y_c, u, v, scale=10)
+update_axes(ax, m, unit='[m]')
+
+# %%
+# Loading SST and first display
+# -----------------------------
+t = RegularGridDataset(filename=data.get_path(filename_sst),
+                       x_name=lon_name_sst,
+                       y_name=lat_name_sst)
+
+# The following now load the corresponding variables from the SST netcdf (it's not needed to load it beforehand, so not executed.)
+# t.grid(var_name_sst)
+
+# %% 
+# We can now plot SST from `t`
+ax = start_axes("SST title")
+m = t.display(ax, 'analysed_sst', vmin=295, vmax=300)
+update_axes(ax, m, unit='[°K]')
+
+# %% 
+# Including SST in the Altimetry grid
+# -----------------------------------
+# We can use `Grid` tools to interpolate SST on the altimetry grid
+
+lons, lats = meshgrid(g.x_c, g.y_c)
+shape = lats.shape
+
+# flat grid before interp
+lons, lats = lons.reshape(-1), lats.reshape(-1)
+
+# interp and reshape
+ti = t.interp('analysed_sst', lons, lats).reshape(shape).T
+ti = ma.masked_invalid(ti)
+
+# %% 
+# and add it to `g`
+g.add_grid('sst',ti)
+
+# %%
+ax = start_axes("SST")
+m = g.display(ax, "sst", vmin=295, vmax=300)
+u,v = g.grid("ugosa").T,g.grid("vgosa").T
+ax.quiver(g.x_c, g.y_c, u, v, scale=10)
+update_axes(ax, m, unit='[°K]')
+
+# %%
+# Now, with eddy contours, and displaying SST anomaly
+# ! lazy patch since add_grid isn't currently completing g.variables_description
+g.variables_description['sst'] = t.variables_description[var_name_sst]
+g.copy("sst", "sst_high")
+g.bessel_high_filter('sst_high',200)
+
+# %% 
+# Eddy detection
+date = datetime.strptime(datest,'%Y%m%d')
+a, c = g.eddy_identification("sla", "ugosa", "vgosa", date, 0.002)
+
+# %%
+kwargs_a = dict(lw=2, label="Anticyclonic", ref=-10, color="b")
+kwargs_c = dict(lw=2, label="Cyclonic", ref=-10, color="r")
+ax = start_axes("SST anomaly")
+m = g.display(ax, "sst_high", vmin=-1, vmax=1)
+ax.quiver(g.x_c, g.y_c, u, v, scale=20)
+a.display(ax, **kwargs_a), c.display(ax, **kwargs_c)
+update_axes(ax, m, unit='[°K]')
+
+# %% 
+# Example of post-processing
+# --------------------------
+# Get mean of sst anomaly_high in each internal contour
+anom_a = a.interp_grid(g, "sst_high", method="mean", intern=True)
+anom_c = c.interp_grid(g, "sst_high", method="mean", intern=True)
+
+# %% 
+# Are cyclonic (resp. anticyclonic) eddies generally associated with positive (resp. negative) SST anomaly ? 
+fig = plt.figure(figsize=(5, 5))
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.90])
+ax.set_xlabel("SST anomaly")
+ax.set_xlim([-1,1])
+ax.set_title('Histograms of SST anomalies')
+ax.hist(anom_a,5, alpha=0.5, label = 'Anticyclonic (mean:%s)'%(anom_a.mean()))
+ax.hist(anom_c,5, alpha=0.5, label = 'Cyclonic (mean:%s)'%(anom_c.mean()))
+ax.legend()
+
+# %% 
+# Not clearly so in that case ..
diff --git a/src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4 b/src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4
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diff --git a/src/py_eddy_tracker/data/dt_blacksea_allsat_phy_l4_20160707_20200801.nc b/src/py_eddy_tracker/data/dt_blacksea_allsat_phy_l4_20160707_20200801.nc
new file mode 100644
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literal 0
HcmV?d00001


From f61771820523fbcabccfe87e025b93d1a3c0a336 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 1 Oct 2020 11:42:11 +0200
Subject: [PATCH 124/441] add docstring in numba function

---
 src/py_eddy_tracker/generic.py | 45 +++++++++++++++++++++-------------
 src/py_eddy_tracker/poly.py    | 43 +++++++++++++++++++++-----------
 2 files changed, 57 insertions(+), 31 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 2be8b184..a78180c9 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -48,6 +48,8 @@
 @njit(cache=True)
 def reverse_index(index, nb):
     """
+    Compute a list of index, which are not in index.
+
     :param array index: index of group which will be set to False
     :param array nb: Count for each group
     :return: mask of value selected
@@ -61,7 +63,7 @@ def reverse_index(index, nb):
 
 @njit(cache=True)
 def build_index(groups):
-    """We expected that variable is monotonous, and return index for each step change
+    """We expected that variable is monotonous, and return index for each step change.
 
     :param array groups: array which contain group to be separated
     :return: (first_index of each group, last_index of each group, value to shift group)
@@ -85,12 +87,15 @@ def build_index(groups):
 
 @njit(cache=True)
 def hist_numba(x, bins):
+    """Call numba histogram  to speed up."""
     return histogram(x, bins)
 
 
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
+    Get distance for every couple of point.
+
     :param array lon0:
     :param array lat0:
     :param array lon1:
@@ -127,7 +132,7 @@ def distance_grid(lon0, lat0, lon1, lat1):
 @njit(cache=True, fastmath=True)
 def distance(lon0, lat0, lon1, lat1):
     """
-    Compute distance between points from each line
+    Compute distance between points from each line.
 
     :param float lon0:
     :param float lat0:
@@ -148,7 +153,7 @@ def distance(lon0, lat0, lon1, lat1):
 @njit(cache=True)
 def cumsum_by_track(field, track):
     """
-    Cumsum by track
+    Cumsum by track.
 
     :param array field: data to sum
     :pram array(int) track: id of track to separate data
@@ -172,7 +177,7 @@ def cumsum_by_track(field, track):
 @njit(cache=True, fastmath=True)
 def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     """
-    For geographic grid, test of cicularity
+    For geographic grid, test of cicularity.
 
     :param array x_g: coordinates of grid
     :param array y_g: coordinates of grid
@@ -189,6 +194,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     x_step = x_g[1] - x_ref
     y_step = y_g[1] - y_ref
     nb_x = x_g.shape[0]
+    nb_y = y_g.shape[0]
     is_circular = (x_g[-1] + x_step) % 360 == x_g[0] % 360
     z = empty(x.shape, dtype=z_g.dtype)
     for i in prange(x.size):
@@ -197,11 +203,16 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
         i0 = int(floor(x_))
         i1 = i0 + 1
         xd = x_ - i0
+        j0 = int(floor(y_))
+        j1 = j0 + 1
         if is_circular:
             i0 %= nb_x
             i1 %= nb_x
-        j0 = int(floor(y_))
-        j1 = j0 + 1
+        else:
+            if i1 >= nb_x or i0 < 0 or j0 < 0 or j1 >= nb_y:
+                z[i] = nan
+                continue
+
         yd = y_ - j0
         z00 = z_g[i0, j0]
         z01 = z_g[i0, j1]
@@ -219,7 +230,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
 @njit(cache=True, fastmath=True)
 def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     """
-    Resample contours to have (nearly) equal spacing
+    Resample contours to have (nearly) equal spacing.
 
     :param array_like x_val: input x contour coordinates
     :param array_like y_val: input y contour coordinates
@@ -246,7 +257,7 @@ def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
 @njit(cache=True)
 def flatten_line_matrix(l_matrix):
     """
-    Flat matrix and add on between each line
+    Flat matrix and add on between each line.
 
     :param l_matrix: matrix of position
     :return: array with nan between line
@@ -267,7 +278,7 @@ def flatten_line_matrix(l_matrix):
 @njit(cache=True)
 def simplify(x, y, precision=0.1):
     """
-    Will remove all middle point which are closer than precision
+    Will remove all middle point which are closer than precision.
 
     :param array x:
     :param array y:
@@ -307,7 +318,7 @@ def simplify(x, y, precision=0.1):
 @njit(cache=True)
 def split_line(x, y, i):
     """
-    Split x and y at each i change
+    Split x and y at each i change.
 
     :param x: array
     :param y: array
@@ -335,7 +346,7 @@ def split_line(x, y, i):
 @njit(cache=True)
 def wrap_longitude(x, y, ref, cut=False):
     """
-    Will wrap contiguous longitude with reference like west bound
+    Will wrap contiguous longitude with reference like west bound.
 
     :param array x:
     :param array y:
@@ -391,7 +402,7 @@ def wrap_longitude(x, y, ref, cut=False):
 @njit(cache=True, fastmath=True)
 def coordinates_to_local(lon, lat, lon0, lat0):
     """
-    Take latlong coordinates to transform in local coordinates (in m)
+    Take latlong coordinates to transform in local coordinates (in m).
 
     :param array x: coordinates to transform
     :param array y: coordinates to transform
@@ -420,7 +431,7 @@ def coordinates_to_local(lon, lat, lon0, lat0):
 @njit(cache=True, fastmath=True)
 def local_to_coordinates(x, y, lon0, lat0):
     """
-    Take local coordinates (in m) to transform to latlong
+    Take local coordinates (in m) to transform to latlong.
 
     :param array x: coordinates to transform
     :param array y: coordinates to transform
@@ -447,7 +458,7 @@ def local_to_coordinates(x, y, lon0, lat0):
 @njit(cache=True, fastmath=True)
 def nearest_grd_indice(x, y, x0, y0, xstep, ystep):
     """
-    Get nearest grid indice from a position
+    Get nearest grid indice from a position.
 
     :param x: longitude
     :param y: latitude
@@ -465,7 +476,7 @@ def nearest_grd_indice(x, y, x0, y0, xstep, ystep):
 @njit(cache=True)
 def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
     """
-    Get bbox indice of a contour in a regular grid
+    Get bbox indice of a contour in a regular grid.
 
     :param vertices: vertice of contour
     :param float x0: first grid longitude
@@ -492,7 +503,7 @@ def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
 @njit(cache=True, fastmath=True)
 def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
     """
-    Get a pixel list of a regular grid contain in a contour
+    Get a pixel list of a regular grid contain in a contour.
 
     :param array_like vertices: contour vertice (N,2)
     :param array_like x_c: longitude coordinate of grid
@@ -532,7 +543,7 @@ def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
 
 def build_circle(x0, y0, r):
     """
-    Method to built circle from center coordinates
+    Build circle from center coordinates.
 
     :param float x0: center coordinate
     :param float y0: center coordinate
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 63f3c0a7..03fa7837 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -29,8 +29,9 @@
 @njit(cache=True)
 def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
     """
+    Test if point is left of an infinit line.
+
     http://geomalgorithms.com/a03-_inclusion.html
-    isLeft(): tests if a point is Left|On|Right of an infinite line.
     See: Algorithm 1 "Area of Triangles and Polygons"
 
     :param float x_line_0:
@@ -55,6 +56,8 @@ def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
 @njit(cache=True)
 def poly_contain_poly(xy_poly_out, xy_poly_in):
     """
+    Check if poly_in is include in poly_out.
+
     :param vertice xy_poly_out:
     :param vertice xy_poly_in:
     :return: True if poly_in is in poly_out
@@ -76,6 +79,8 @@ def poly_contain_poly(xy_poly_out, xy_poly_in):
 @njit(cache=True)
 def poly_area_vertice(v):
     """
+    Compute area from vertice.
+
     :param vertice v: polygon vertice
     :return: area of polygon in coordinates unit
     :rtype: float
@@ -86,7 +91,7 @@ def poly_area_vertice(v):
 @njit(cache=True)
 def poly_area(x, y):
     """
-    Must be call with local coordinates (in m, to get an area in m²)
+    Must be call with local coordinates (in m, to get an area in m²).
 
     :param array x:
     :param array y:
@@ -103,7 +108,7 @@ def poly_area(x, y):
 @njit(cache=True)
 def winding_number_poly(x, y, xy_poly):
     """
-    Check if x,y is in poly
+    Check if x,y is in poly.
 
     :param float x: x to test
     :param float y: y to test
@@ -137,6 +142,8 @@ def winding_number_poly(x, y, xy_poly):
 @njit(cache=True)
 def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
     """
+    Return index for each grid coordinates within contour.
+
     http://geomalgorithms.com/a03-_inclusion.html
 
     :param array x_1d: x of local grid
@@ -167,7 +174,7 @@ def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
 @njit(cache=True, fastmath=True)
 def bbox_intersection(x0, y0, x1, y1):
     """
-    Compute bbox to check if there are a bbox intersection
+    Compute bbox to check if there are a bbox intersection.
 
     :param array x0: x for polygon list 0
     :param array y0: y for polygon list 0
@@ -207,9 +214,11 @@ def bbox_intersection(x0, y0, x1, y1):
 @njit(cache=True)
 def create_vertice(x, y):
     """
+    Return polygon vertice.
+
     :param array x:
     :param array y:
-    :return: Return the vertice of polygon
+    :return: Return polygon vertice
     :rtype: vertice
     """
     nb = x.shape[0]
@@ -223,7 +232,7 @@ def create_vertice(x, y):
 @njit(cache=True)
 def create_vertice_from_2darray(x, y, index):
     """
-    Choose a polygon in x,y list and return vertice
+    Choose a polygon in x,y list and return vertice.
 
     :param array x:
     :param array y:
@@ -242,7 +251,7 @@ def create_vertice_from_2darray(x, y, index):
 @njit(cache=True)
 def get_wrap_vertice(x0, y0, x1, y1, i):
     """
-    Return a vertice for each polygon and check that use same reference coordinates
+    Return a vertice for each polygon and check that use same reference coordinates.
 
     :param array x0: x for polygon list 0
     :param array y0: y for polygon list 0
@@ -261,6 +270,8 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
 
 def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     """
+    Return percent of overlap for each item.
+
     :param array x0: x for polygon list 0
     :param array y0: y for polygon list 0
     :param array x1: x for polygon list 1
@@ -289,6 +300,8 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
 
 def polygon_overlap(p0, p1, minimal_area=False):
     """
+    Return percent of overlap for each item.
+
     :param list(Polygon) p0: List of polygon to compare with p1 list
     :param list(Polygon) p1: List of polygon to compare with p0 list
     :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
@@ -313,8 +326,9 @@ def polygon_overlap(p0, p1, minimal_area=False):
 @njit(cache=True)
 def fit_circle(x, y):
     """
-    From a polygon, function will fit a circle
-    Must be call with local coordinates (in m, to get a radius in m)
+    From a polygon, function will fit a circle.
+
+    Must be call with local coordinates (in m, to get a radius in m).
 
     :param array x: x of polygon
     :param array y: y of polygon
@@ -357,7 +371,7 @@ def fit_circle(x, y):
 
 @njit(cache=True)
 def fit_circle_(x, y):
-    """
+    r"""
     From a polygon, function will fit a circle.
 
     Must be call with local coordinates (in m, to get a radius in m).
@@ -377,7 +391,7 @@ def fit_circle_(x, y):
 
     Solutions:
 
-    .. math:: x_0 = a / 2 , y_0 = b / 2 , r = \\sqrt{c + x_0^2 + y_0^2}
+    .. math:: x_0 = a / 2 , y_0 = b / 2 , r = \sqrt{c + x_0^2 + y_0^2}
 
 
     :param array x: x of polygon
@@ -415,11 +429,12 @@ def fit_circle_(x, y):
 
 @njit(cache=True, fastmath=True)
 def shape_error(x, y, x0, y0, r):
-    """
-    With a polygon(x,y) in local coordinates
+    r"""
+    With a polygon(x,y) in local coordinates.
+
     and circle properties(x0, y0, r), function compute a shape error:
 
-    .. math:: ShapeError = \\frac{Polygon_{area} + Circle_{area} - 2 * Intersection_{area}}{Circle_{area}} * 100
+    .. math:: ShapeError = \frac{Polygon_{area} + Circle_{area} - 2 * Intersection_{area}}{Circle_{area}} * 100
 
     When error > 100, area of difference is bigger than circle area
 

From d71913bd79ddf45b2d3afa29bc85bb6b4a351564 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 1 Oct 2020 14:15:58 +0200
Subject: [PATCH 125/441] update example of propagation and lifetime

---
 examples/06_grid_manipulation/README.rst      |  2 +-
 examples/08_tracking_manipulation/README.rst  |  2 +-
 examples/10_tracking_diagnostics/README.rst   |  2 +-
 .../10_tracking_diagnostics/pet_lifetime.py   | 70 ++++++++--------
 .../pet_propagation.py                        | 80 +++++++++----------
 .../pet_lifetime.ipynb                        | 10 +--
 .../pet_propagation.ipynb                     | 10 +--
 7 files changed, 87 insertions(+), 89 deletions(-)

diff --git a/examples/06_grid_manipulation/README.rst b/examples/06_grid_manipulation/README.rst
index 16e64b89..7a300f82 100644
--- a/examples/06_grid_manipulation/README.rst
+++ b/examples/06_grid_manipulation/README.rst
@@ -1,2 +1,2 @@
 Grid Manipulation
-=======================
+=================
\ No newline at end of file
diff --git a/examples/08_tracking_manipulation/README.rst b/examples/08_tracking_manipulation/README.rst
index 73d43181..2626f19d 100644
--- a/examples/08_tracking_manipulation/README.rst
+++ b/examples/08_tracking_manipulation/README.rst
@@ -1,2 +1,2 @@
 Tracking Manipulation
-=======================
+=====================
diff --git a/examples/10_tracking_diagnostics/README.rst b/examples/10_tracking_diagnostics/README.rst
index 00178ba7..1c4e690a 100644
--- a/examples/10_tracking_diagnostics/README.rst
+++ b/examples/10_tracking_diagnostics/README.rst
@@ -1,2 +1,2 @@
 Tracking diagnostics
-=======================
+====================
diff --git a/examples/10_tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
index 7f2a22c9..8a73f7ca 100644
--- a/examples/10_tracking_diagnostics/pet_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_lifetime.py
@@ -6,7 +6,7 @@
 from matplotlib import pyplot as plt
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
-from numpy import arange
+from numpy import arange, ones
 
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
@@ -16,39 +16,41 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
+nb_year = (a.period[1] - a.period[0] + 1) / 365.25
 
 # %%
-# Plot
-fig = plt.figure()
-ax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])
-ax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])
-ax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])
-ax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])
-
-cum_a, bins, _ = ax_cum_lifetime.hist(
-    a["n"], histtype="step", bins=arange(0, 800, 1), label="Anticyclonic", color="r"
-)
-cum_c, bins, _ = ax_cum_lifetime.hist(
-    c["n"], histtype="step", bins=arange(0, 800, 1), label="Cyclonic", color="b"
-)
-
-x = (bins[1:] + bins[:-1]) / 2.0
-ax_ratio_cum_lifetime.plot(x, cum_c / cum_a)
-
-nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
-ax_lifetime.plot(x[1:], nb_a, label="Anticyclonic", color="r")
-ax_lifetime.plot(x[1:], nb_c, label="Cyclonic", color="b")
-
-ax_ratio_lifetime.plot(x[1:], nb_c / nb_a)
-
-for ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):
-    ax.set_xlim(0, 365)
-    if ax in (ax_lifetime, ax_cum_lifetime):
-        ax.set_ylim(1, None)
-        ax.set_yscale("log")
-        ax.legend()
+# Setup axes
+figure = plt.figure(figsize=(12, 8))
+ax_ratio_cum = figure.add_axes([0.55, 0.06, 0.42, 0.34])
+ax_ratio = figure.add_axes([0.07, 0.06, 0.46, 0.34])
+ax_cum = figure.add_axes([0.55, 0.43, 0.42, 0.54])
+ax = figure.add_axes([0.07, 0.43, 0.46, 0.54])
+ax.set_ylabel("Eddies by year")
+ax_ratio.set_ylabel("Ratio Cyclonic/Anticyclonic")
+for ax_ in (ax, ax_cum, ax_ratio_cum, ax_ratio):
+    ax_.set_xlim(0, 400)
+    if ax_ in (ax, ax_cum):
+        ax_.set_ylim(1e-1, 1e4), ax_.set_yscale("log")
     else:
-        ax.set_ylim(0, 2)
-        ax.set_ylabel("Ratio Cyclonic/Anticyclonic")
-    ax.set_xlabel("Lifetime (days)")
-    ax.grid()
+        ax_.set_xlabel("Lifetime in days (by week bins)")
+        ax_.set_ylim(0, 2)
+        ax_.axhline(1, color="g", lw=2)
+    ax_.grid()
+ax_cum.xaxis.set_ticklabels([]), ax_cum.yaxis.set_ticklabels([])
+ax.xaxis.set_ticklabels([]), ax_ratio_cum.yaxis.set_ticklabels([])
+
+# plot data
+bin_hist = arange(7, 2000, 7)
+x = (bin_hist[1:] + bin_hist[:-1]) / 2.0
+a_nb, c_nb = a.nb_obs_by_track, c.nb_obs_by_track
+a_nb, c_nb = a_nb[a_nb != 0], c_nb[c_nb != 0]
+w_a, w_c = ones(a_nb.shape) / nb_year, ones(c_nb.shape) / nb_year
+kwargs_a = dict(histtype="step", bins=bin_hist, x=a_nb, color="r", weights=w_a)
+kwargs_c = dict(histtype="step", bins=bin_hist, x=c_nb, color="b", weights=w_c)
+cum_a, _, _ = ax_cum.hist(cumulative=-1, **kwargs_a)
+cum_c, _, _ = ax_cum.hist(cumulative=-1, **kwargs_c)
+nb_a, _, _ = ax.hist(label="Anticyclonic", **kwargs_a)
+nb_c, _, _ = ax.hist(label="Cyclonic", **kwargs_c)
+ax_ratio_cum.plot(x, cum_c / cum_a)
+ax_ratio.plot(x, nb_c / nb_a)
+ax.legend()
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index 4c70321c..5af063b3 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -7,7 +7,7 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 from py_eddy_tracker.generic import cumsum_by_track
 import py_eddy_tracker_sample
-from numpy import arange
+from numpy import arange, ones
 
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
@@ -17,6 +17,7 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
+nb_year = (a.period[1] - a.period[0] + 1) / 365.25
 
 # %%
 # Filtering position to remove noisy position
@@ -25,47 +26,42 @@
 
 # %%
 # Compute curvilign distance
-d_a = cumsum_by_track(a.distance_to_next(), a.tracks) / 1000.0
-d_c = cumsum_by_track(c.distance_to_next(), c.tracks) / 1000.0
+i0, nb = a.index_from_track, a.nb_obs_by_track
+d_a = cumsum_by_track(a.distance_to_next(), a.tracks)[(i0 - 1 + nb)[nb != 0]] / 1000.0
+i0, nb = c.index_from_track, c.nb_obs_by_track
+d_c = cumsum_by_track(c.distance_to_next(), c.tracks)[(i0 - 1 + nb)[nb != 0]] / 1000.0
 
 # %%
-# Plot
-fig = plt.figure()
-ax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])
-ax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])
-ax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])
-ax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])
-
-bins = arange(0, 1500, 10)
-cum_a, bins, _ = ax_cum_propagation.hist(
-    d_a, histtype="step", bins=bins, label="Anticyclonic", color="r"
-)
-cum_c, bins, _ = ax_cum_propagation.hist(
-    d_c, histtype="step", bins=bins, label="Cyclonic", color="b"
-)
-
-x = (bins[1:] + bins[:-1]) / 2.0
-ax_ratio_cum_propagation.plot(x, cum_c / cum_a)
-
-nb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]
-ax_propagation.plot(x[1:], nb_a, label="Anticyclonic", color="r")
-ax_propagation.plot(x[1:], nb_c, label="Cyclonic", color="b")
-
-ax_ratio_propagation.plot(x[1:], nb_c / nb_a)
-
-for ax in (
-    ax_propagation,
-    ax_cum_propagation,
-    ax_ratio_cum_propagation,
-    ax_ratio_propagation,
-):
-    ax.set_xlim(0, 1000)
-    if ax in (ax_propagation, ax_cum_propagation):
-        ax.set_ylim(1, None)
-        ax.set_yscale("log")
-        ax.legend()
+# Setup axes
+figure = plt.figure(figsize=(12, 8))
+ax_ratio_cum = figure.add_axes([0.55, 0.06, 0.42, 0.34])
+ax_ratio = figure.add_axes([0.07, 0.06, 0.46, 0.34])
+ax_cum = figure.add_axes([0.55, 0.43, 0.42, 0.54])
+ax = figure.add_axes([0.07, 0.43, 0.46, 0.54])
+ax.set_ylabel("Eddies by year")
+ax_ratio.set_ylabel("Ratio Cyclonic/Anticyclonic")
+for ax_ in (ax, ax_cum, ax_ratio_cum, ax_ratio):
+    ax_.set_xlim(0, 1000)
+    if ax_ in (ax, ax_cum):
+        ax_.set_ylim(1e-1, 1e4), ax_.set_yscale("log")
     else:
-        ax.set_ylim(0, 2)
-        ax.set_ylabel("Ratio Cyclonic/Anticyclonic")
-    ax.set_xlabel("Propagation (km)")
-    ax.grid()
+        ax_.set_xlabel("Propagation in km (with bins of 20 km)")
+        ax_.set_ylim(0, 2)
+        ax_.axhline(1, color="g", lw=2)
+    ax_.grid()
+ax_cum.xaxis.set_ticklabels([]), ax_cum.yaxis.set_ticklabels([])
+ax.xaxis.set_ticklabels([]), ax_ratio_cum.yaxis.set_ticklabels([])
+
+# plot data
+bin_hist = arange(0, 2000, 20)
+x = (bin_hist[1:] + bin_hist[:-1]) / 2.0
+w_a, w_c = ones(d_a.shape) / nb_year, ones(d_c.shape) / nb_year
+kwargs_a = dict(histtype="step", bins=bin_hist, x=d_a, color="r", weights=w_a)
+kwargs_c = dict(histtype="step", bins=bin_hist, x=d_c, color="b", weights=w_c)
+cum_a, _, _ = ax_cum.hist(cumulative=-1, **kwargs_a)
+cum_c, _, _ = ax_cum.hist(cumulative=-1, **kwargs_c)
+nb_a, _, _ = ax.hist(label="Anticyclonic", **kwargs_a)
+nb_c, _, _ = ax.hist(label="Cyclonic", **kwargs_c)
+ax_ratio_cum.plot(x, cum_c / cum_a)
+ax_ratio.plot(x, nb_c / nb_a)
+ax.legend()
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 874b60ce..5aa8936d 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nLifetime Histogram\n===================\n"
+        "\n# Lifetime Histogram\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange, ones"
       ]
     },
     {
@@ -44,14 +44,14 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot\n\n"
+        "Setup axes\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax_lifetime = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_lifetime = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_lifetime = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_lifetime = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\ncum_a, bins, _ = ax_cum_lifetime.hist(\n    a[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_lifetime.hist(\n    c[\"n\"], histtype=\"step\", bins=arange(0, 800, 1), label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_lifetime.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_lifetime.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_lifetime.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_lifetime.plot(x[1:], nb_c / nb_a)\n\nfor ax in (ax_lifetime, ax_cum_lifetime, ax_ratio_cum_lifetime, ax_ratio_lifetime):\n    ax.set_xlim(0, 365)\n    if ax in (ax_lifetime, ax_cum_lifetime):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Lifetime (days)\")\n    ax.grid()"
+        "figure = plt.figure(figsize=(12, 8))\nax_ratio_cum = figure.add_axes([0.55, 0.06, 0.42, 0.34])\nax_ratio = figure.add_axes([0.07, 0.06, 0.46, 0.34])\nax_cum = figure.add_axes([0.55, 0.43, 0.42, 0.54])\nax = figure.add_axes([0.07, 0.43, 0.46, 0.54])\nax.set_ylabel(\"Eddies by year\")\nax_ratio.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\nfor ax_ in (ax, ax_cum, ax_ratio_cum, ax_ratio):\n    ax_.set_xlim(0, 400)\n    if ax_ in (ax, ax_cum):\n        ax_.set_ylim(1e-1, 1e4), ax_.set_yscale(\"log\")\n    else:\n        ax_.set_xlabel(\"Lifetime in days (by week bins)\")\n        ax_.set_ylim(0, 2)\n        ax_.axhline(1, color=\"g\", lw=2)\n    ax_.grid()\nax_cum.xaxis.set_ticklabels([]), ax_cum.yaxis.set_ticklabels([])\nax.xaxis.set_ticklabels([]), ax_ratio_cum.yaxis.set_ticklabels([])\n\n# plot data\nbin_hist = arange(7, 2000, 7)\nx = (bin_hist[1:] + bin_hist[:-1]) / 2.0\na_nb, c_nb = a.nb_obs_by_track, c.nb_obs_by_track\na_nb, c_nb = a_nb[a_nb != 0], c_nb[c_nb != 0]\nw_a, w_c = ones(a_nb.shape) / nb_year, ones(c_nb.shape) / nb_year\nkwargs_a = dict(histtype=\"step\", bins=bin_hist, x=a_nb, color=\"r\", weights=w_a)\nkwargs_c = dict(histtype=\"step\", bins=bin_hist, x=c_nb, color=\"b\", weights=w_c)\ncum_a, _, _ = ax_cum.hist(cumulative=-1, **kwargs_a)\ncum_c, _, _ = ax_cum.hist(cumulative=-1, **kwargs_c)\nnb_a, _, _ = ax.hist(label=\"Anticyclonic\", **kwargs_a)\nnb_c, _, _ = ax.hist(label=\"Cyclonic\", **kwargs_c)\nax_ratio_cum.plot(x, cum_c / cum_a)\nax_ratio.plot(x, nb_c / nb_a)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index a3f7c8fb..e2c76ff2 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import cumsum_by_track\nimport py_eddy_tracker_sample\nfrom numpy import arange"
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import cumsum_by_track\nimport py_eddy_tracker_sample\nfrom numpy import arange, ones"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
@@ -80,14 +80,14 @@
       },
       "outputs": [],
       "source": [
-        "d_a = cumsum_by_track(a.distance_to_next(), a.tracks) / 1000.0\nd_c = cumsum_by_track(c.distance_to_next(), c.tracks) / 1000.0"
+        "i0, nb = a.index_from_track, a.nb_obs_by_track\nd_a = cumsum_by_track(a.distance_to_next(), a.tracks)[(i0 - 1 + nb)[nb != 0]] / 1000.0\ni0, nb = c.index_from_track, c.nb_obs_by_track\nd_c = cumsum_by_track(c.distance_to_next(), c.tracks)[(i0 - 1 + nb)[nb != 0]] / 1000.0"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot\n\n"
+        "Setup axes\n\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax_propagation = fig.add_axes([0.05, 0.55, 0.4, 0.4])\nax_cum_propagation = fig.add_axes([0.55, 0.55, 0.4, 0.4])\nax_ratio_propagation = fig.add_axes([0.05, 0.05, 0.4, 0.4])\nax_ratio_cum_propagation = fig.add_axes([0.55, 0.05, 0.4, 0.4])\n\nbins = arange(0, 1500, 10)\ncum_a, bins, _ = ax_cum_propagation.hist(\n    d_a, histtype=\"step\", bins=bins, label=\"Anticyclonic\", color=\"r\"\n)\ncum_c, bins, _ = ax_cum_propagation.hist(\n    d_c, histtype=\"step\", bins=bins, label=\"Cyclonic\", color=\"b\"\n)\n\nx = (bins[1:] + bins[:-1]) / 2.0\nax_ratio_cum_propagation.plot(x, cum_c / cum_a)\n\nnb_a, nb_c = cum_a[:-1] - cum_a[1:], cum_c[:-1] - cum_c[1:]\nax_propagation.plot(x[1:], nb_a, label=\"Anticyclonic\", color=\"r\")\nax_propagation.plot(x[1:], nb_c, label=\"Cyclonic\", color=\"b\")\n\nax_ratio_propagation.plot(x[1:], nb_c / nb_a)\n\nfor ax in (\n    ax_propagation,\n    ax_cum_propagation,\n    ax_ratio_cum_propagation,\n    ax_ratio_propagation,\n):\n    ax.set_xlim(0, 1000)\n    if ax in (ax_propagation, ax_cum_propagation):\n        ax.set_ylim(1, None)\n        ax.set_yscale(\"log\")\n        ax.legend()\n    else:\n        ax.set_ylim(0, 2)\n        ax.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\n    ax.set_xlabel(\"Propagation (km)\")\n    ax.grid()"
+        "figure = plt.figure(figsize=(12, 8))\nax_ratio_cum = figure.add_axes([0.55, 0.06, 0.42, 0.34])\nax_ratio = figure.add_axes([0.07, 0.06, 0.46, 0.34])\nax_cum = figure.add_axes([0.55, 0.43, 0.42, 0.54])\nax = figure.add_axes([0.07, 0.43, 0.46, 0.54])\nax.set_ylabel(\"Eddies by year\")\nax_ratio.set_ylabel(\"Ratio Cyclonic/Anticyclonic\")\nfor ax_ in (ax, ax_cum, ax_ratio_cum, ax_ratio):\n    ax_.set_xlim(0, 1000)\n    if ax_ in (ax, ax_cum):\n        ax_.set_ylim(1e-1, 1e4), ax_.set_yscale(\"log\")\n    else:\n        ax_.set_xlabel(\"Propagation in km (with bins of 20 km)\")\n        ax_.set_ylim(0, 2)\n        ax_.axhline(1, color=\"g\", lw=2)\n    ax_.grid()\nax_cum.xaxis.set_ticklabels([]), ax_cum.yaxis.set_ticklabels([])\nax.xaxis.set_ticklabels([]), ax_ratio_cum.yaxis.set_ticklabels([])\n\n# plot data\nbin_hist = arange(0, 2000, 20)\nx = (bin_hist[1:] + bin_hist[:-1]) / 2.0\nw_a, w_c = ones(d_a.shape) / nb_year, ones(d_c.shape) / nb_year\nkwargs_a = dict(histtype=\"step\", bins=bin_hist, x=d_a, color=\"r\", weights=w_a)\nkwargs_c = dict(histtype=\"step\", bins=bin_hist, x=d_c, color=\"b\", weights=w_c)\ncum_a, _, _ = ax_cum.hist(cumulative=-1, **kwargs_a)\ncum_c, _, _ = ax_cum.hist(cumulative=-1, **kwargs_c)\nnb_a, _, _ = ax.hist(label=\"Anticyclonic\", **kwargs_a)\nnb_c, _, _ = ax.hist(label=\"Cyclonic\", **kwargs_c)\nax_ratio_cum.plot(x, cum_c / cum_a)\nax_ratio.plot(x, nb_c / nb_a)\nax.legend()"
       ]
     }
   ],

From 486e8950f8993e3ca4447a6d2d37cde875ad6d40 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 3 Oct 2020 23:36:13 +0200
Subject: [PATCH 126/441] Add condition to avoid error when dataset is empty

---
 src/py_eddy_tracker/observations/tracking.py | 18 ++++++++++++++----
 src/py_eddy_tracker/poly.py                  | 10 +++++++++-
 2 files changed, 23 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 31062baf..837506cf 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -93,7 +93,10 @@ def nb_tracks(self):
         Will count and send number of track
         """
         if self.__nb_track is None:
-            self.__nb_track = (self.nb_obs_by_track != 0).sum()
+            if len(self) == 0:
+                self.__nb_track = 0
+            else:
+                self.__nb_track = (self.nb_obs_by_track != 0).sum()
         return self.__nb_track
 
     def __repr__(self):
@@ -326,18 +329,23 @@ def extract_with_length(self, bounds):
 
         .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_length
         """
+        if len(self) == 0:
+            return self.empty_dataset()
         b0, b1 = bounds
-        if b0 >= 0 and b1 >= 0:
+        if b0 >= 0 and b1 != -1:
             track_mask = (self.nb_obs_by_track >= b0) * (self.nb_obs_by_track <= b1)
-        elif b0 < 0 and b1 >= 0:
+        elif b0 == -1 and b1 >= 0:
             track_mask = self.nb_obs_by_track <= b1
-        elif b0 >= 0 and b1 < 0:
+        elif b0 >= 0 and b1 == -1:
             track_mask = self.nb_obs_by_track > b0
         else:
             logger.warning("No valid value for bounds")
             raise Exception("One bounds must be positiv")
         return self.extract_with_mask(track_mask.repeat(self.nb_obs_by_track))
 
+    def empty_dataset(self):
+        return self.new_like(self, 0)
+
     def loess_filter(self, half_window, xfield, yfield, inplace=True):
         track = self.obs["track"]
         x = self.obs[xfield]
@@ -427,6 +435,8 @@ def plot(self, ax, ref=None, **kwargs):
         """
         if "label" in kwargs:
             kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
+        if len(self) == 0:
+            return ax.plot([], [], **kwargs)
         x, y = split_line(self.longitude, self.latitude, self.tracks)
         if ref is not None:
             x, y = wrap_longitude(x, y, ref, cut=True)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 03fa7837..ffa8002d 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -269,7 +269,7 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
 
 
 def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
-    """
+    r"""
     Return percent of overlap for each item.
 
     :param array x0: x for polygon list 0
@@ -279,6 +279,14 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
     :return: Result of cost function
     :rtype: array
+
+    By default
+
+        .. math:: Score = \frac{Intersection(P_0,P_1)_{area}}{Union(P_0,P_1)_{area}}
+
+    If minimal area:
+
+        .. math:: Score = \frac{Intersection(P_0,P_1)_{area}}{min(P_{0 area},P_{1 area})}
     """
     nb = x0.shape[0]
     cost = empty(nb)

From 17d78d844c12a39841e837e1fd616b35557e3cfc Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 3 Oct 2020 23:49:01 +0200
Subject: [PATCH 127/441] - Add method to know how contour is reject - Add
 method a first version to regrid one grid on another (#24)

---
 .../pet_eddy_detection.py                     |  42 ++++++-
 .../pet_eddy_detection_gulf_stream.py         |  29 ++++-
 .../pet_eddy_detection.ipynb                  |  72 ++++++++++--
 .../pet_eddy_detection_gulf_stream.ipynb      |  44 ++++++-
 src/py_eddy_tracker/appli/eddies.py           |  47 ++++++--
 src/py_eddy_tracker/dataset/grid.py           |  28 ++++-
 src/py_eddy_tracker/eddy_feature.py           | 109 ++++++++++++++++--
 .../observations/observation.py               |  10 ++
 8 files changed, 340 insertions(+), 41 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index c2dca788..83df941c 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -1,12 +1,13 @@
 """
-Eddy detection
-==============
+Eddy detection : Med
+====================
 
 Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
 
 Figures will show different step to detect eddies.
 
 """
+from numpy import arange
 from datetime import datetime
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
@@ -26,7 +27,7 @@ def start_axes(title):
 def update_axes(ax, mappable=None):
     ax.grid()
     if mappable:
-        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 
 
 # %%
@@ -65,7 +66,7 @@ def update_axes(ax, mappable=None):
 # --------------
 # run identification with slice of 2 mm
 date = datetime(2016, 5, 15)
-a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
+a, c = g.eddy_identification("adt", "u", "v", date, 0.002, shape_error=55)
 
 # %%
 # All closed contour found in this input grid (Display only 1 contour every 4)
@@ -80,11 +81,33 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
+# Post analyse
+# ------------
 # Contours reject from several origin (shape error to high, several extremum in contour, ...)
 ax = start_axes("ADT contour reject")
 g.contours.display(ax, only_unused=True)
 update_axes(ax)
 
+# %%
+# Contours reject criterion
+#
+# 0. - Accepted (green)
+# 1. - Reject for shape error (red)
+# 2. - Masked value in contour (blue)
+# 3. - Under or over pixel limit bound (black)
+# 4. - Amplitude criterion (yellow)
+ax = start_axes("Contour reject criterion")
+g.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)
+update_axes(ax)
+
+# %%
+# Display shape error of each tested contour, the limit of shape error is set to 55 %
+ax = start_axes("Contour shape error")
+m = g.contours.display(
+    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="seismic"
+)
+update_axes(ax, m)
+
 # %%
 # Contours closed which contains several eddies
 ax = start_axes("ADT contour reject but which contain eddies")
@@ -116,3 +139,14 @@ def update_axes(ax, mappable=None):
 a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
 m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
 update_axes(ax, m)
+
+# %%
+# Display speed radius of eddies detected
+ax = start_axes("Eddies speed radius (km)")
+a.filled(
+    ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
+)
+m = c.filled(
+    ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
+)
+update_axes(ax, m)
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index e273d152..40bd379a 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -1,12 +1,13 @@
 """
-Eddy detection Gulf stream
-==========================
+Eddy detection : Gulf stream
+============================
 
 Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
 
 Figures will show different step to detect eddies.
 
 """
+from numpy import arange
 from datetime import datetime
 from matplotlib import pyplot as plt
 from py_eddy_tracker.dataset.grid import RegularGridDataset
@@ -72,7 +73,7 @@ def update_axes(ax, mappable=None):
 # --------------
 # run identification with slice of 2 mm
 date = datetime(2016, 5, 15)
-a, c = g.eddy_identification("adt", "u", "v", date, 0.002)
+a, c = g.eddy_identification("adt", "u", "v", date, 0.002, shape_error=55)
 
 # %%
 # All closed contour found in this input grid (Display only 1 contour every 5)
@@ -89,12 +90,34 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
+# Post analyse
+# ------------
 # Contours reject from several origin (shape error to high, several extremum in contour, ...)
 ax = start_axes("ADT contour reject")
 g.contours.display(ax, only_unused=True, lw=0.25)
 great_current.display(ax, color="k")
 update_axes(ax)
 
+# %%
+# Contours reject criterion
+#
+# 0. - Accepted (green)
+# 1. - Reject for shape error (red)
+# 2. - Masked value in contour (blue)
+# 3. - Under or over pixel limit bound (black)
+# 4. - Amplitude criterion (yellow)
+ax = start_axes("Contour reject criterion")
+g.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)
+update_axes(ax)
+
+# %%
+# Display shape error of each tested contour, the limit of shape error is set to 55 %
+ax = start_axes("Contour shape error")
+m = g.contours.display(
+    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="seismic"
+)
+update_axes(ax, m)
+
 # %%
 # Contours closed which contains several eddies
 ax = start_axes("ADT contour reject but which contain eddies")
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 8a6708a3..95e65a47 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nEddy detection\n==============\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
+        "\n# Eddy detection : Med\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+        "from numpy import arange\nfrom datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Get u/v\n-------\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+        "## Get u/v\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Pre-processings\n---------------\nApply high filter to remove long scale to highlight mesoscale\n\n"
+        "## Pre-processings\nApply high filter to remove long scale to highlight mesoscale\n\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Identification\n--------------\nrun identification with slice of 2 mm\n\n"
+        "## Identification\nrun identification with slice of 2 mm\n\n"
       ]
     },
     {
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)"
+        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002, shape_error=55)"
       ]
     },
     {
@@ -152,7 +152,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+        "## Post analyse\nContours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
       ]
     },
     {
@@ -166,6 +166,42 @@
         "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours reject criterion\n\n0. - Accepted (green)\n1. - Reject for shape error (red)\n2. - Masked value in contour (blue)\n3. - Under or over pixel limit bound (black)\n4. - Amplitude criterion (yellow)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Contour reject criterion\")\ng.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"seismic\"\n)\nupdate_axes(ax, m)"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -188,7 +224,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Output\n------\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "## Output\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
@@ -219,6 +255,24 @@
       "source": [
         "ax = start_axes(\"Eddies speed radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nupdate_axes(ax, m)"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display speed radius of eddies detected\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies speed radius (km)\")\na.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
+      ]
     }
   ],
   "metadata": {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 3076ca90..1e4f484e 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Eddy detection Gulf stream\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
+        "\n# Eddy detection : Gulf stream\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nFigures will show different step to detect eddies.\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours"
+        "from numpy import arange\nfrom datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours"
       ]
     },
     {
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)"
+        "date = datetime(2016, 5, 15)\na, c = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002, shape_error=55)"
       ]
     },
     {
@@ -152,7 +152,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+        "## Post analyse\nContours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
       ]
     },
     {
@@ -166,6 +166,42 @@
         "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Contours reject criterion\n\n0. - Accepted (green)\n1. - Reject for shape error (red)\n2. - Masked value in contour (blue)\n3. - Under or over pixel limit bound (black)\n4. - Amplitude criterion (yellow)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Contour reject criterion\")\ng.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"seismic\"\n)\nupdate_axes(ax, m)"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 75d51eb1..18339aa8 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -20,6 +20,7 @@
 Email: evanmason@gmail.com
 ===========================================================================
 """
+import argparse
 from netCDF4 import Dataset
 from .. import EddyParser
 from ..observations.tracking import TrackEddiesObservations
@@ -93,24 +94,46 @@ def display_infos():
     parser.add_argument(
         "observations", nargs="+", help="Input observations to compute frequency"
     )
+    parser.add_argument("--vars", nargs="+", help=argparse.SUPPRESS)
+    parser.add_argument(
+        "--area",
+        nargs=4,
+        type=float,
+        metavar=("llcrnrlon", "llcrnrlat", "urcrnrlon", "urcrnrlat"),
+        help="Bounding box",
+    )
     args = parser.parse_args()
-    vars = [
-        "amplitude",
-        "speed_radius",
-        "speed_area",
-        "effective_radius",
-        "effective_area",
-        "time",
-        "latitude",
-    ]
-    for filename in args.observations:
+    if args.vars:
+        vars = args.vars
+    else:
+        vars = [
+            "amplitude",
+            "speed_radius",
+            "speed_area",
+            "effective_radius",
+            "effective_area",
+            "time",
+            "latitude",
+            "longitude",
+        ]
+    filenames = args.observations
+    filenames.sort()
+    for filename in filenames:
         with Dataset(filename) as h:
-            track = 'track' in h.variables
+            track = "track" in h.variables
         print(f"-- {filename} -- ")
         if track:
             vars_ = vars.copy()
-            vars_.extend(('track', 'observation_number', 'observation_flag', 'longitude'))
+            vars_.extend(("track", "observation_number", "observation_flag"))
             e = TrackEddiesObservations.load_file(filename, include_vars=vars_)
         else:
             e = EddiesObservations.load_file(filename, include_vars=vars)
+        if args.area is not None:
+            area = dict(
+                llcrnrlon=args.area[0],
+                llcrnrlat=args.area[1],
+                urcrnrlon=args.area[2],
+                urcrnrlat=args.area[3],
+            )
+            e = e.extract_with_area(area)
         print(e)
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index f9168b90..7b9733dc 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -709,6 +709,7 @@ def eddy_identification(
 
                     # Filter for shape
                     if aerr < 0 or aerr > shape_error or isnan(aerr):
+                        contour.reject = 1
                         continue
 
                     # Find all pixels in the contour
@@ -716,6 +717,8 @@ def eddy_identification(
 
                     # Check if pixels in contour are masked
                     if has_masked_value(data.mask, i_x_in, i_y_in):
+                        if contour.reject == 0:
+                            contour.reject = 2
                         continue
 
                     # Test to know cyclone or anticyclone
@@ -729,6 +732,7 @@ def eddy_identification(
                         contour.nb_pixel < pixel_limit[0]
                         or contour.nb_pixel > pixel_limit[1]
                     ):
+                        contour.reject = 3
                         continue
 
                     # Compute amplitude
@@ -742,8 +746,8 @@ def eddy_identification(
                     )
                     # If we have a valid amplitude
                     if (not amp.within_amplitude_limits()) or (amp.amplitude == 0):
+                        contour.reject = 4
                         continue
-
                     if reset_centroid:
 
                         if self.is_circular():
@@ -1803,6 +1807,28 @@ def contour(self, ax, name, factor=1, **kwargs):
         """
         return ax.contour(self.x_c, self.y_c, self.grid(name).T * factor, **kwargs)
 
+    def regrid(self, other, grid_name, new_name=None):
+        """
+        Interpolate another grid on current grid position
+
+        :param RegularGridDataset other:
+        :param str grid_name: var name to interpolate
+        :param str new_name: name use to store, if None method will use current ont
+
+        .. minigallery:: py_eddy_tracker.RegularGridDataset.regrid
+        """
+        if new_name is None:
+            new_name = grid_name
+        x, y = meshgrid(self.x_c, self.y_c)
+        # interp and reshape
+        v_interp = other.interp(grid_name, x.reshape(-1), y.reshape(-1)).reshape(x.shape).T
+        v_interp = ma.array(v_interp, mask=isnan(v_interp))
+        # and add it to self
+        self.add_grid(new_name, v_interp)
+        self.variables_description[new_name] = other.variables_description[grid_name]
+        # self.variables_description[new_name]['infos'] = False
+        # self.variables_description[new_name]['kwargs']['dimensions'] = ...
+
     def interp(self, grid_name, lons, lats):
         """
         Compute z over lons, lats
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 869cef2a..69da474a 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -21,8 +21,21 @@
 """
 
 import logging
-from numpy import empty, array, concatenate, ma, zeros, unique, round, ones, int_
+from numpy import (
+    empty,
+    array,
+    concatenate,
+    ma,
+    zeros,
+    unique,
+    round,
+    ones,
+    int_,
+    digitize,
+)
+from matplotlib.colors import Normalize
 from matplotlib.figure import Figure
+from matplotlib.cm import get_cmap
 from numba import njit, types as numba_types
 from .poly import winding_number_poly
 
@@ -447,6 +460,7 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
             collection._paths = keep_path
             for contour in collection.get_paths():
                 contour.used = False
+                contour.reject = 0
                 nb_contour += 1
                 nb_pt += contour.vertices.shape[0]
         logger.info(
@@ -551,12 +565,51 @@ def display(
         only_used=False,
         only_unused=False,
         only_contain_eddies=False,
+        display_criterion=False,
+        field=None,
+        bins=None,
+        cmap="Spectral_r",
         **kwargs
     ):
+        """
+        Display contour
+
+        :param matplotlib.axes.Axes ax:
+        :param int step: display only contour every step
+        :param bool only_used: display only contour used in an eddy
+        :param bool only_unused: display only contour unused in an eddy
+        :param bool only_contain_eddies: display only contour which enclosed an eddiy
+        :param bool display_criterion:
+            display only unused contour with criterion color
+
+            0. - Accepted (green)
+            1. - Reject for shape error (red)
+            2. - Masked value in contour (blue)
+            3. - Under or over pixel limit bound (black)
+            4. - Amplitude criterion (yellow)
+        :param str field:
+            Must be 'shape_error', 'x', 'y' or 'radius'.
+            If define display_criterion is not use.
+            bins argument must be define
+        :param array bins: bins use to colorize contour
+        :param str cmap: Name of cmap to use for field display
+        :param dict kwargs: look at :py:method:`matplotlib.collections.LineCollection`
+
+        .. minigallery:: py_eddy_tracker.Contours.display
+        """
         from matplotlib.collections import LineCollection
 
+        overide_color = display_criterion or field is not None
+        if display_criterion:
+            paths = {0: list(), 1: list(), 2: list(), 3: list(), 4: list()}
+        elif field is not None:
+            paths = dict()
+            for i in range(len(bins)):
+                paths[i] = list()
+            paths[i + 1] = list()
         for j, collection in enumerate(self.contours.collections[::step]):
-            paths = list()
+            if not overide_color:
+                paths = list()
             for i in collection.get_paths():
                 if only_used and not i.used:
                     continue
@@ -564,18 +617,58 @@ def display(
                     continue
                 elif only_contain_eddies and not i.contain_eddies:
                     continue
-                paths.append(i.vertices)
+                if display_criterion:
+                    paths[i.reject].append(i.vertices)
+                elif field is not None:
+                    x, y, radius, shape_error = i.fit_circle()
+                    if field == "shape_error":
+                        i_ = digitize(shape_error, bins)
+                    elif field == "radius":
+                        i_ = digitize(radius, bins)
+                    elif field == "x":
+                        i_ = digitize(x, bins)
+                    elif field == "y":
+                        i_ = digitize(y, bins)
+                    paths[i_].append(i.vertices)
+                else:
+                    paths.append(i.vertices)
             local_kwargs = kwargs.copy()
             if "color" not in kwargs:
                 local_kwargs["color"] = collection.get_color()
                 local_kwargs.pop("label", None)
             elif j != 0:
                 local_kwargs.pop("label", None)
-            ax.add_collection(LineCollection(paths, **local_kwargs))
-
-        if hasattr(self.contours, "_mins"):
-            ax.update_datalim([self.contours._mins, self.contours._maxs])
-        ax.autoscale_view()
+            if not overide_color:
+                ax.add_collection(LineCollection(paths, **local_kwargs))
+        if display_criterion:
+            colors = {0: "g", 1: "r", 2: "b", 3: "k", 4: "y"}
+            for k, v in paths.items():
+                local_kwargs = kwargs.copy()
+                local_kwargs.pop("label", None)
+                local_kwargs["colors"] = colors[k]
+                ax.add_collection(LineCollection(v, **local_kwargs))
+        elif field is not None:
+            nb_bins = len(bins) - 1
+            cmap = get_cmap(cmap, lut=nb_bins)
+            for k, v in paths.items():
+                local_kwargs = kwargs.copy()
+                local_kwargs.pop("label", None)
+                if k == 0:
+                    local_kwargs["colors"] = cmap(0.0)
+                elif k > nb_bins:
+                    local_kwargs["colors"] = cmap(1.0)
+                else:
+                    local_kwargs["colors"] = cmap((k - 1.0) / nb_bins)
+                mappable = LineCollection(v, **local_kwargs)
+                ax.add_collection(mappable)
+            mappable.cmap = cmap
+            mappable.norm = Normalize(vmin=bins[0], vmax=bins[-1])
+            # TODO : need to create an object with all collections
+            return mappable
+        else:
+            if hasattr(self.contours, "_mins"):
+                ax.update_datalim([self.contours._mins, self.contours._maxs])
+            ax.autoscale_view()
 
     def label_contour_unused_which_contain_eddies(self, eddies):
         """Select contour which contain several eddies"""
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d9a3b2ae..5836223f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -270,6 +270,9 @@ def __repr__(self):
     |   Speed radius (km)      {self.box_display(bins_radius)}
     |   Percent of eddies         : {
         self.box_display(self.hist('time', 'radius_s', bins_radius * 1000., percent=True, nb=True))}
+    |   Effective radius (km)  {self.box_display(bins_radius)}
+    |   Percent of eddies         : {
+        self.box_display(self.hist('time', 'radius_e', bins_radius * 1000., percent=True, nb=True))}
     ----Distribution in Latitude
         Latitude bounds        {self.box_display(bins_lat)}
         Percent of eddies         : {self.box_display(self.hist('time', 'lat', bins_lat, percent=True, nb=True))}
@@ -1410,6 +1413,7 @@ def filled(
         self,
         ax,
         varname,
+        ref=None,
         intern=False,
         cmap="magma_r",
         lut=10,
@@ -1421,6 +1425,7 @@ def filled(
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
         :param str,array varname: var which will be use to fill contour, or an array of same size of obs
+        :param float,None ref: if define use like west bound
         :param bool intern: if True draw speed contour instead of effective contour
         :param str cmap: matplotlib colormap name
         :param int,None lut: Number of division of colormaps
@@ -1436,6 +1441,11 @@ def filled(
         x_name, y_name = self.intern(intern)
         v = (self[varname] if isinstance(varname, str) else varname) * factor
         x, y = self[x_name], self[y_name]
+        if ref is not None:
+            # TODO : maybe buggy with global display
+            shape_out = x.shape
+            x, y = wrap_longitude(x.reshape(-1), y.reshape(-1), ref)
+            x, y = x.reshape(shape_out), y.reshape(shape_out)
         if vmin is None:
             vmin = v.min()
         if vmax is None:

From 86f2e09c8460b4d1865878ec6e7b14d3de0f12af Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 8 Oct 2020 17:58:30 +0200
Subject: [PATCH 128/441] update eddy anim to display several eddies

---
 src/py_eddy_tracker/appli/gui.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index a78840bf..85e26ee7 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -36,6 +36,7 @@ def __init__(self, eddy, intern=False, sleep_event=0.1, **kwargs):
         self.eddy = eddy
         x_name, y_name = eddy.intern(intern)
         self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
+        self.x_core, self.y_core = eddy["lon"], eddy["lat"]
         self.pause = False
         self.period = self.eddy.period
         self.sleep_event = sleep_event
@@ -46,15 +47,10 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
         self.colors = cmap(arange(nb_step + 1) / nb_step)
         self.nb_step = nb_step
 
-        x_min, x_max = self.x.min(), self.x.max()
+        x_min, x_max = self.x_core.min() - 2, self.x_core.max() + 2
         d_x = x_max - x_min
-        x_min -= 0.05 * d_x
-        x_max += 0.05 * d_x
-        y_min, y_max = self.y.min(), self.y.max()
+        y_min, y_max = self.y_core.min() - 2, self.y_core.max() + 2
         d_y = y_max - y_min
-        y_min -= 0.05 * d_y
-        y_max += 0.05 * d_y
-
         # plot
         self.fig = pyplot.figure(figsize=figsize)
         t0, t1 = self.period
@@ -156,7 +152,7 @@ def anim():
         left arrow => t - 1, right arrow => t + 1, + => speed increase of 10 %, - => speed decrease of 10 %"""
     )
     parser.add_argument("filename", help="eddy atlas")
-    parser.add_argument("id", help="Track id to anim", type=int)
+    parser.add_argument("id", help="Track id to anim", type=int, nargs="*")
     parser.add_argument(
         "--intern",
         action="store_true",
@@ -166,6 +162,7 @@ def anim():
         "--keep_step", default=25, help="number maximal of step displayed", type=int
     )
     parser.add_argument("--cmap", help="matplotlib colormap used")
+    parser.add_argument("--all", help="All eddies will be drawed", action='store_true')
     parser.add_argument(
         "--time_sleep",
         type=float,
@@ -176,13 +173,16 @@ def anim():
         "--infinity_loop", action="store_true", help="Press Escape key to stop loop"
     )
     args = parser.parse_args()
-    variables = ["time", "track"]
+    variables = ["time", "track", "longitude", "latitude"]
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
 
-    atlas = TrackEddiesObservations.load_file(args.filename, include_vars=variables)
-    eddy = atlas.extract_ids([args.id])
+    eddies = TrackEddiesObservations.load_file(args.filename, include_vars=variables)
+    if not args.all:
+        if len(args.id) == 0:
+            raise Exception('You need to specify id to display or ask explicity all with --all option')
+        eddies = eddies.extract_ids(args.id)
     a = Anim(
-        eddy,
+        eddies,
         intern=args.intern,
         sleep_event=args.time_sleep,
         cmap=args.cmap,

From fbf87bc2da043fad77b36e14410ca53e029cee6b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 8 Oct 2020 23:38:51 +0200
Subject: [PATCH 129/441] update typo

---
 examples/02_eddy_identification/pet_display_id.py             | 2 --
 .../python_module/02_eddy_identification/pet_display_id.ipynb | 2 +-
 src/py_eddy_tracker/__init__.py                               | 4 ++--
 .../featured_tracking/old_tracker_reference.py                | 1 +
 4 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index fa287867..a2c2f84d 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -27,8 +27,6 @@
 colorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
 colorbar.set_label('Amplitude (m)')
 
-plt.show()
-
 # %%
 # draw contour
 fig = plt.figure(figsize=(15, 8))
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 1d185c9c..9273910a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\ncolorbar.set_label('Amplitude (m)')\n\nplt.show()"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\ncolorbar.set_label('Amplitude (m)')"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 3efabf0c..fa366448 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -355,8 +355,8 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Speed Radius",
             units="m",
-            comment="Radius of a circle whose area is equal to that \
-                enclosed by the contour of maximum circum-average speed",
+            comment="Radius of a circle whose area is equal to that "
+                    "enclosed by the contour of maximum circum-average speed",
         ),
     ),
     track=dict(
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 908f4554..4ee3dd16 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -83,6 +83,7 @@ def post_process_link(self, other, i_self, i_other):
 def check_ratio(current_mask, self_amplitude, other_amplitude, self_radius, other_radius):
     """
     Only very few case are remove with selection
+
     :param current_mask:
     :param self_amplitude:
     :param other_amplitude:

From 54a25c24d901957647b2b24c58ff3cc761db5858 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 8 Oct 2020 23:41:00 +0200
Subject: [PATCH 130/441] EddyAnim will update on resize event Add an
 application to compute circle on eddies file

---
 setup.py                            |  1 +
 src/py_eddy_tracker/appli/eddies.py | 20 ++++++++++++++++++
 src/py_eddy_tracker/appli/gui.py    | 32 +++++++++++++++++++++++++----
 3 files changed, 49 insertions(+), 4 deletions(-)

diff --git a/setup.py b/setup.py
index d47ce8d9..2e5fe91e 100644
--- a/setup.py
+++ b/setup.py
@@ -42,6 +42,7 @@
             "MergeEddies = py_eddy_tracker.appli.eddies:merge_eddies",
             "EddyFrequency = py_eddy_tracker.appli.eddies:get_frequency_grid",
             "EddyInfos = py_eddy_tracker.appli.eddies:display_infos",
+            "EddyCircle = py_eddy_tracker.appli.eddies:eddies_add_circle",
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 18339aa8..8f518336 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -27,6 +27,26 @@
 from ..observations.observation import EddiesObservations
 
 
+def eddies_add_circle():
+    parser = EddyParser("Add or replace contour with radius parameter")
+    parser.add_argument("filename", help="all file to merge")
+    parser.add_argument("out", help="output file")
+    args = parser.parse_args()
+    obs = EddiesObservations.load_file(args.filename)
+    if obs.track_array_variables == 0:
+        obs.track_array_variables = 50
+        obs = obs.add_fields(
+            array_fields=(
+                "contour_lon_e",
+                "contour_lat_e",
+                "contour_lon_s",
+                "contour_lat_s",
+            )
+        )
+    obs.circle_contour()
+    obs.write_file(filename=args.out)
+
+
 def merge_eddies():
     parser = EddyParser("Merge eddies")
     parser.add_argument("filename", nargs="+", help="all file to merge")
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 85e26ee7..522ee31e 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -21,7 +21,7 @@
 ===========================================================================
 """
 
-from numpy import arange, empty
+from numpy import arange, empty, where
 from matplotlib import pyplot
 from matplotlib.collections import LineCollection
 from datetime import datetime
@@ -36,10 +36,11 @@ def __init__(self, eddy, intern=False, sleep_event=0.1, **kwargs):
         self.eddy = eddy
         x_name, y_name = eddy.intern(intern)
         self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
-        self.x_core, self.y_core = eddy["lon"], eddy["lat"]
+        self.x_core, self.y_core, self.track = eddy["lon"], eddy["lat"], eddy["track"]
         self.pause = False
         self.period = self.eddy.period
         self.sleep_event = sleep_event
+        self.mappables = list()
         self.setup(**kwargs)
 
     def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
@@ -66,6 +67,19 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
 
         self.fig.canvas.draw()
         self.fig.canvas.mpl_connect("key_press_event", self.keyboard)
+        self.fig.canvas.mpl_connect("resize_event", self.reset_bliting)
+
+    def reset_bliting(self, event):
+        self.contour.set_visible(False)
+        self.txt.set_visible(False)
+        for m in self.mappables:
+            m.set_visible(False)
+        self.fig.canvas.draw()
+        self.bg_cache = self.fig.canvas.copy_from_bbox(self.ax.bbox)
+        self.contour.set_visible(True)
+        self.txt.set_visible(True)
+        for m in self.mappables:
+            m.set_visible(True)
 
     def show(self, infinity_loop=False):
         pyplot.show(block=False)
@@ -107,6 +121,8 @@ def prev(self):
     def draw_contour(self):
         # t0, t1 = self.period
         # select contour for this time step
+        while self.mappables:
+            self.mappables.pop().remove()
         m = self.t == self.now
         self.ax.figure.canvas.restore_region(self.bg_cache)
         if m.sum():
@@ -121,6 +137,12 @@ def draw_contour(self):
         self.contour.set_color(self.colors[-len(self.segs) :])
         self.contour.set_lw(arange(len(self.segs)) / len(self.segs) * 2.5)
         self.txt.set_text(f"{self.now} - {1/self.sleep_event:.0f} frame/s")
+        for i in where(m)[0]:
+            mappable = self.ax.text(
+                self.x_core[i], self.y_core[i], self.track[i], fontsize=8
+            )
+            self.mappables.append(mappable)
+            self.ax.draw_artist(mappable)
         self.ax.draw_artist(self.contour)
         self.ax.draw_artist(self.txt)
         # Remove first segment to keep only T contour
@@ -162,7 +184,7 @@ def anim():
         "--keep_step", default=25, help="number maximal of step displayed", type=int
     )
     parser.add_argument("--cmap", help="matplotlib colormap used")
-    parser.add_argument("--all", help="All eddies will be drawed", action='store_true')
+    parser.add_argument("--all", help="All eddies will be drawed", action="store_true")
     parser.add_argument(
         "--time_sleep",
         type=float,
@@ -179,7 +201,9 @@ def anim():
     eddies = TrackEddiesObservations.load_file(args.filename, include_vars=variables)
     if not args.all:
         if len(args.id) == 0:
-            raise Exception('You need to specify id to display or ask explicity all with --all option')
+            raise Exception(
+                "You need to specify id to display or ask explicity all with --all option"
+            )
         eddies = eddies.extract_ids(args.id)
     a = Anim(
         eddies,

From 9b2d5266f6af6e1b9990ab5ec4d67b276994e930 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 8 Oct 2020 23:46:37 +0200
Subject: [PATCH 131/441] Allow to set the number of maxima in same contour Add
 method to iterate on group of observation Add method to align two dataset
 Allow to load a slice instead of whole file Add function to get bins
 statistic

---
 src/py_eddy_tracker/dataset/grid.py           |  18 +-
 src/py_eddy_tracker/eddy_feature.py           |   4 +-
 src/py_eddy_tracker/generic.py                |  43 -----
 .../observations/observation.py               | 173 ++++++++++++++----
 src/py_eddy_tracker/observations/tracking.py  |  28 ++-
 src/py_eddy_tracker/poly.py                   |  43 ++++-
 6 files changed, 225 insertions(+), 84 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 7b9733dc..082a331c 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -53,7 +53,6 @@
     uniform_resample,
     coordinates_to_local,
     local_to_coordinates,
-    get_pixel_in_regular,
     nearest_grd_indice,
     bbox_indice_regular,
 )
@@ -63,6 +62,7 @@
     create_vertice,
     poly_area,
     fit_circle,
+    get_pixel_in_regular,
 )
 
 logger = logging.getLogger("pet")
@@ -577,6 +577,7 @@ def eddy_identification(
         precision=None,
         force_height_unit=None,
         force_speed_unit=None,
+        mle=1,
     ):
         """
         Compute eddy identification on specified grid
@@ -743,6 +744,7 @@ def eddy_identification(
                         anticyclonic_search=anticyclonic_search,
                         level=self.contours.levels[corrected_coll_index],
                         step=step,
+                        mle=mle,
                     )
                     # If we have a valid amplitude
                     if (not amp.within_amplitude_limits()) or (amp.amplitude == 0):
@@ -971,7 +973,13 @@ def _gaussian_filter(data, sigma, mode="reflect"):
 
     @staticmethod
     def get_amplitude(
-        contour, contour_height, data, anticyclonic_search=True, level=None, step=None
+        contour,
+        contour_height,
+        data,
+        anticyclonic_search=True,
+        level=None,
+        step=None,
+        mle=1,
     ):
         # Instantiate Amplitude object
         amp = Amplitude(
@@ -983,6 +991,8 @@ def get_amplitude(
             data=data,
             # Step by level
             interval=step,
+            # Set number max of local maxima
+            mle=mle,
         )
 
         if anticyclonic_search:
@@ -1821,7 +1831,9 @@ def regrid(self, other, grid_name, new_name=None):
             new_name = grid_name
         x, y = meshgrid(self.x_c, self.y_c)
         # interp and reshape
-        v_interp = other.interp(grid_name, x.reshape(-1), y.reshape(-1)).reshape(x.shape).T
+        v_interp = (
+            other.interp(grid_name, x.reshape(-1), y.reshape(-1)).reshape(x.shape).T
+        )
         v_interp = ma.array(v_interp, mask=isnan(v_interp))
         # and add it to self
         self.add_grid(new_name, v_interp)
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 69da474a..8865f400 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -61,7 +61,7 @@ class Amplitude(object):
         "mle",
     )
 
-    def __init__(self, contour, contour_height, data, interval):
+    def __init__(self, contour, contour_height, data, interval, mle=1):
         # Height of the contour
         self.h_0 = contour_height
         # Step minimal to consider amplitude
@@ -97,7 +97,7 @@ def __init__(self, contour, contour_height, data, interval):
         # Amplitude which will be provide
         self.amplitude = 0
         # Maximum local extrema accepted
-        self.mle = 1
+        self.mle = mle
 
     def within_amplitude_limits(self):
         """Need update
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index a78180c9..f94c40fc 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -37,12 +37,10 @@
     zeros,
     isnan,
     bool_,
-    concatenate,
     radians,
     histogram,
 )
 from numba import njit, prange, types as numba_types
-from .poly import winding_number_grid_in_poly
 
 
 @njit(cache=True)
@@ -500,47 +498,6 @@ def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
     return slice_x, slice_y
 
 
-@njit(cache=True, fastmath=True)
-def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
-    """
-    Get a pixel list of a regular grid contain in a contour.
-
-    :param array_like vertices: contour vertice (N,2)
-    :param array_like x_c: longitude coordinate of grid
-    :param array_like y_c: latitude coordinate of grid
-    :param int x_start: west index of contour
-    :param int y_start: east index of contour
-    :param int x_stop: south index of contour
-    :param int y_stop: north index of contour
-    """
-    if x_stop < x_start:
-        x_ref = vertices[0, 0]
-        x_array = (
-            (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360
-            + x_ref
-            - 180
-        )
-        return winding_number_grid_in_poly(
-            x_array,
-            y_c[y_start:y_stop],
-            x_start,
-            x_stop,
-            x_c.shape[0],
-            y_start,
-            vertices,
-        )
-    else:
-        return winding_number_grid_in_poly(
-            x_c[x_start:x_stop],
-            y_c[y_start:y_stop],
-            x_start,
-            x_stop,
-            x_c.shape[0],
-            y_start,
-            vertices,
-        )
-
-
 def build_circle(x0, y0, r):
     """
     Build circle from center coordinates.
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5836223f..5c19911a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -50,6 +50,7 @@
     linspace,
     sin,
     histogram,
+    digitize,
 )
 from netCDF4 import Dataset
 from datetime import datetime
@@ -71,11 +72,16 @@
     wrap_longitude,
     local_to_coordinates,
     reverse_index,
-    get_pixel_in_regular,
     bbox_indice_regular,
     hist_numba,
 )
-from ..poly import bbox_intersection, vertice_overlap, create_vertice
+from ..poly import (
+    bbox_intersection,
+    vertice_overlap,
+    create_vertice,
+    close_center,
+    get_pixel_in_regular,
+)
 
 logger = logging.getLogger("pet")
 
@@ -297,7 +303,7 @@ def obs_dimension(cls, handler):
             if candidate in handler.dimensions.keys():
                 return candidate
 
-    def add_fields(self, fields):
+    def add_fields(self, fields=list(), array_fields=list()):
         """
         Add a new field
         """
@@ -308,8 +314,10 @@ def add_fields(self, fields):
                 concatenate((self.track_extra_variables, fields))
             ),
             track_array_variables=self.track_array_variables,
-            array_variables=self.array_variables,
-            only_variables=list(concatenate((self.obs.dtype.names, fields))),
+            array_variables=list(concatenate((self.array_variables, array_fields))),
+            only_variables=list(
+                concatenate((self.obs.dtype.names, fields, array_fields))
+            ),
             raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
@@ -332,19 +340,20 @@ def circle_contour(self):
         """
         angle = radians(linspace(0, 360, self.track_array_variables))
         x_norm, y_norm = cos(angle), sin(angle)
+        radius_s = "contour_lon_s" in self.obs.dtype.names
+        radius_e = "contour_lon_e" in self.obs.dtype.names
         for i, obs in enumerate(self):
-            r_s, r_e, x, y = (
-                obs["radius_s"],
-                obs["radius_e"],
-                obs["lon"],
-                obs["lat"],
-            )
-            obs["contour_lon_s"], obs["contour_lat_s"] = local_to_coordinates(
-                x_norm * r_s, y_norm * r_s, x, y
-            )
-            obs["contour_lon_e"], obs["contour_lat_e"] = local_to_coordinates(
-                x_norm * r_e, y_norm * r_e, x, y
-            )
+            x, y = obs["lon"], obs["lat"]
+            if radius_s:
+                r_s = obs["radius_s"]
+                obs["contour_lon_s"], obs["contour_lat_s"] = local_to_coordinates(
+                    x_norm * r_s, y_norm * r_s, x, y
+                )
+            if radius_e:
+                r_e = obs["radius_e"]
+                obs["contour_lon_e"], obs["contour_lat_e"] = local_to_coordinates(
+                    x_norm * r_e, y_norm * r_e, x, y
+                )
 
     @property
     def dtype(self):
@@ -437,6 +446,53 @@ def __iter__(self):
         for obs in self.obs:
             yield obs
 
+    def iter_on(self, xname, bins=None):
+        """
+        Yield observation group for each bins
+
+        :param str varname:
+        :param array bins: bounds og each bins ,
+        :return: Group observations
+        :rtype: self.__class__
+        """
+        x = self[xname]
+        d = x[1:] - x[:-1]
+        if bins is None:
+            bins = arange(x.min(), x.max() + 2)
+        nb_bins = len(bins) - 1
+        i = digitize(x, bins) - 1
+        # Not monotonous
+        if (d < 0).any():
+            for i_ in unique(i):
+                if i_ == -1 or i_ == nb_bins:
+                    continue
+                index = where(i_ == i)[0]
+                yield index, bins[i_], bins[i_ + 1]
+        else:
+            # TODO : need improvement
+            for i_ in unique(i):
+                if i_ == -1 or i_ == nb_bins:
+                    continue
+                index = where(i_ == i)[0]
+                yield slice(index[0], index[-1] + 1), bins[i_], bins[i_ + 1]
+
+    def align_on(self, other, var_name="time", **kwargs):
+        iter_self, iter_other = (
+            self.iter_on(var_name, **kwargs),
+            other.iter_on(var_name, **kwargs),
+        )
+        indexs_other, b0_other, b1_other = iter_other.__next__()
+        for indexs_self, b0_self, b1_self in iter_self:
+            if b0_self > b0_other:
+                try:
+                    while b0_other < b0_self:
+                        indexs_other, b0_other, b1_other = iter_other.__next__()
+                except StopIteration:
+                    break
+            if b0_self < b0_other:
+                continue
+            yield indexs_self, indexs_other, b0_self, b1_self
+
     def insert_observations(self, other, index):
         """Insert other obs in self at the index
         """
@@ -493,6 +549,8 @@ def index(self, index, reverse=False):
         size = 1
         if hasattr(index, "__iter__"):
             size = len(index)
+        elif isinstance(index, slice):
+            size = index.stop - index.start
         eddies = self.new_like(self, size)
         eddies.obs[:] = self.obs[index]
         eddies.sign_type = self.sign_type
@@ -616,7 +674,7 @@ def load_from_zarr(
 
     @classmethod
     def load_from_netcdf(
-        cls, filename, raw_data=False, remove_vars=None, include_vars=None
+        cls, filename, raw_data=False, remove_vars=None, include_vars=None, indexs=None
     ):
         array_dim = "NbSample"
         if isinstance(filename, bytes):
@@ -633,7 +691,17 @@ def load_from_netcdf(
             elif remove_vars is not None:
                 var_list = [i for i in var_list if i not in remove_vars]
 
-            nb_obs = len(h_nc.dimensions[cls.obs_dimension(h_nc)])
+            obs_dim = cls.obs_dimension(h_nc)
+            nb_obs = len(h_nc.dimensions[obs_dim])
+            if indexs is not None and obs_dim in indexs:
+                sl = indexs[obs_dim]
+                if sl.stop is not None:
+                    nb_obs = sl.stop
+                if sl.start is not None:
+                    nb_obs -= sl.start
+                if sl.step is not None:
+                    indexs[obs_dim] = slice(sl.start, sl.stop)
+                    logger.warning("step of slice won't be use")
             logger.debug("%d observations will be load", nb_obs)
             kwargs = dict()
             if array_dim in h_nc.dimensions:
@@ -700,10 +768,16 @@ def load_from_netcdf(
                                     input_unit,
                                     output_unit,
                                 )
+                if indexs is None:
+                    indexs = dict()
+                var_sl = [
+                    indexs.get(dim, slice(None))
+                    for dim in h_nc.variables[variable].dimensions
+                ]
                 if factor != 1:
-                    eddies.obs[var_inv] = h_nc.variables[variable][:] * factor
+                    eddies.obs[var_inv] = h_nc.variables[variable][var_sl] * factor
                 else:
-                    eddies.obs[var_inv] = h_nc.variables[variable][:]
+                    eddies.obs[var_inv] = h_nc.variables[variable][var_sl]
 
             for variable in var_list:
                 var_inv = VAR_DESCR_inv[variable]
@@ -1393,10 +1467,11 @@ def extract_with_mask(self, mask):
                 new.obs[var] = self.obs[var][mask]
         return new
 
-    def scatter(self, ax, name, ref=None, factor=1, **kwargs):
+    def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str name: var which will be use to fill contour
+        :param str,None name:
+            var which will be use to fill contour, if None all element of collection will have same color
         :param float,None ref: if define use like west bound
         :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
@@ -1407,7 +1482,10 @@ def scatter(self, ax, name, ref=None, factor=1, **kwargs):
         x = self.longitude
         if ref is not None:
             x = (x - ref) % 360 + ref
-        return ax.scatter(x, self.latitude, c=self[name] * factor, **kwargs)
+        kwargs = kwargs.copy()
+        if name is not None:
+            kwargs['c'] = self[name] * factor
+        return ax.scatter(x, self.latitude, **kwargs)
 
     def filled(
         self,
@@ -1462,6 +1540,22 @@ def filled(
         c.norm = Normalize(vmin=vmin, vmax=vmax)
         return c
 
+    def bins_stat(self, name, bins=None):
+        """
+        :param str name: var which will be use
+        :param array, None bins: bins to perform statistics,if None method will get min and max of variable
+        :return: x array and y array
+        :rtype: array,array
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
+        """
+        v = self[name]
+        if bins is None:
+            bins = arange(v.min(), v.max() + 2)
+        y, x = hist_numba(v, bins=bins)
+        x = (x[1:] + x[:-1]) / 2
+        return x, y
+
     def display(
         self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
     ):
@@ -1606,29 +1700,31 @@ def interp_grid(
         :param grid_object: Handler of grid to interp
         :type grid_object: py_eddy_tracker.dataset.grid.RegularGridDataset
         :param str varname: Name of variable to use
-        :param str method: 'center','mean'
+        :param str method: 'center', 'mean', 'max', 'min'
         :param str dtype: if None we use var dtype
         :param bool intern: Use extern or intern contour
         """
         if method == "center":
             return grid_object.interp(varname, self.longitude, self.latitude)
-        elif method in ("min", "max", "mean"):
+        elif method in ("min", "max", "mean", 'count'):
             x0 = grid_object.x_bounds[0]
             x_name, y_name = self.intern(False if intern is None else intern)
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
             x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             grid = grid_object.grid(varname)
             result = empty(self.shape, dtype=grid.dtype if dtype is None else dtype)
-            grid_mean(
+            min_method = method == 'min'
+            grid_stat(
                 grid_object.x_c,
                 grid_object.y_c,
-                grid,
+                -grid if min_method else grid,
                 x,
                 y,
                 result,
                 grid_object.is_circular(),
+                method='max' if min_method else method
             )
-            return result
+            return -result if min_method else result
         else:
             raise Exception(f'method "{method}" unknown')
 
@@ -1650,7 +1746,7 @@ def grid_count_(grid, i, j):
 
 
 @njit(cache=True)
-def grid_mean(x_c, y_c, grid, x, y, result, circular=False):
+def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method='mean'):
     """
     Compute mean of grid for each contour
 
@@ -1661,11 +1757,14 @@ def grid_mean(x_c, y_c, grid, x, y, result, circular=False):
     :param array_like y: latitude of contours
     :param array_like result: return values
     :param bool circular: True if grid is wrappable
+    :param str method: 'mean', 'max'
     """
     nb = result.shape[0]
     xstep, ystep = x_c[1] - x_c[0], y_c[1] - y_c[0]
     x0, y0 = x_c - xstep / 2.0, y_c - ystep / 2.0
     nb_x = x_c.shape[0]
+    max_method = 'max' == method
+    mean_method = 'mean' == method
     for elt in range(nb):
         v = create_vertice(x[elt], y[elt],)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
@@ -1673,10 +1772,16 @@ def grid_mean(x_c, y_c, grid, x, y, result, circular=False):
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
 
-        v_sum = 0
-        for i_, j_ in zip(i, j):
-            v_sum += grid[i_, j_]
-        result[elt] = v_sum / i.shape[0]
+        if mean_method:
+            v_sum = 0
+            for i_, j_ in zip(i, j):
+                v_sum += grid[i_, j_]
+            result[elt] = v_sum / i.shape[0]
+        elif max_method:
+            v_max = -1e40
+            for i_, j_ in zip(i, j):
+                v_max = max(v_max, grid[i_, j_])
+            result[elt] = v_max
 
 
 class VirtualEddiesObservations(EddiesObservations):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 837506cf..efe2527e 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -267,6 +267,9 @@ def get_mask_from_id(self, tracks):
         return mask
 
     def compute_index(self):
+        """
+        If obs are not sorted by track, __first_index_of_track will be unusable
+        """
         if self.__first_index_of_track is None:
             s = self.tracks.max() + 1
             # Doesn't work => core dump with numba, maybe he wait i8 instead of u4
@@ -292,6 +295,27 @@ def extract_ids(self, tracks):
         mask = self.get_mask_from_id(array(tracks))
         return self.extract_with_mask(mask)
 
+    def extract_toward_direction(self, west=True, delta_lon=None):
+        """
+        Get eddy which go in same direction
+
+        :param bool west: Only eastward eddy if True return westward
+        :param None,float delta_lon: Only eddy with more than delta_lon span in longitude
+        :return: Only eastern eddy
+        :rtype: __class__
+
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_toward_direction
+        """
+        lon = self.longitude
+        i0, nb = self.index_from_track, self.nb_obs_by_track
+        i1 = i0 - 1 + nb
+        d_lon = lon[i1] - lon[i0]
+        m = d_lon < 0 if west else d_lon > 0
+        if delta_lon is not None:
+            m *= delta_lon < d_lon
+        m = m.repeat(nb)
+        return self.extract_with_mask(m)
+
     def extract_first_obs_in_box(self, res):
         data = empty(
             self.obs.shape, dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")]
@@ -323,6 +347,8 @@ def extract_in_direction(self, direction, value=0):
 
     def extract_with_length(self, bounds):
         """
+        Return all observations in [b0:b1]
+
         :param (int,int) bounds: length min and max of selected eddies, if use of -1 this bound is not used
         :return: Return all eddy tracks which have length between bounds
         :rtype: TrackEddiesObservations
@@ -337,7 +363,7 @@ def extract_with_length(self, bounds):
         elif b0 == -1 and b1 >= 0:
             track_mask = self.nb_obs_by_track <= b1
         elif b0 >= 0 and b1 == -1:
-            track_mask = self.nb_obs_by_track > b0
+            track_mask = self.nb_obs_by_track >= b0
         else:
             logger.warning("No valid value for bounds")
             raise Exception("One bounds must be positiv")
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index ffa8002d..b8576933 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -20,7 +20,7 @@
 ===========================================================================
 """
 
-from numpy import empty, where, array, ones, pi
+from numpy import empty, where, array, ones, pi, concatenate
 from numpy.linalg import lstsq
 from numba import njit, prange, types as numba_types
 from Polygon import Polygon
@@ -467,3 +467,44 @@ def shape_error(x, y, x0, y0, r):
             x[i] = x0 + dx * rd
             y[i] = y0 + dy * rd
     return 100 + (p_area - 2 * poly_area(x, y)) / c_area * 100
+
+
+@njit(cache=True, fastmath=True)
+def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
+    """
+    Get a pixel list of a regular grid contain in a contour.
+
+    :param array_like vertices: contour vertice (N,2)
+    :param array_like x_c: longitude coordinate of grid
+    :param array_like y_c: latitude coordinate of grid
+    :param int x_start: west index of contour
+    :param int y_start: east index of contour
+    :param int x_stop: south index of contour
+    :param int y_stop: north index of contour
+    """
+    if x_stop < x_start:
+        x_ref = vertices[0, 0]
+        x_array = (
+            (concatenate((x_c[x_start:], x_c[:x_stop])) - x_ref + 180) % 360
+            + x_ref
+            - 180
+        )
+        return winding_number_grid_in_poly(
+            x_array,
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )
+    else:
+        return winding_number_grid_in_poly(
+            x_c[x_start:x_stop],
+            y_c[y_start:y_stop],
+            x_start,
+            x_stop,
+            x_c.shape[0],
+            y_start,
+            vertices,
+        )

From d30248e4623835f1f43f8e68a16cf480508cc68e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 8 Oct 2020 23:56:15 +0200
Subject: [PATCH 132/441] Add method to found close center

---
 .../observations/observation.py               | 28 ++++++++++++++-----
 src/py_eddy_tracker/poly.py                   | 25 +++++++++++++++++
 2 files changed, 46 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5c19911a..a3a5debb 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -893,24 +893,38 @@ def intern(flag, public_label=False):
             labels = [VAR_DESCR[label]["nc_name"] for label in labels]
         return labels
 
-    def match(self, other, intern=False, cmin=0):
+    def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
         """return index and score compute with area
 
         :param EddiesObservations other: Observations to compare
+        :param str method:
+            if method is "overlap" method will use contour to compute score,
+            if method is "circle" method will apply a formula of circle overlap
         :param bool intern: if True, speed contour will be used
         :param float cmin: 0 < cmin < 1, return only couple above cmin
+        :param dict kwargs: look at :py:meth:`vertice_overlap`
         :return: return index of couple in self and other and cost value
         :rtype: (array(int), array(int), array(float))
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
         """
         x_name, y_name = self.intern(intern)
-        i, j = bbox_intersection(
-            self[x_name], self[y_name], other[x_name], other[y_name]
-        )
-        c = vertice_overlap(
-            self[x_name][i], self[y_name][i], other[x_name][j], other[y_name][j]
-        )
+        if method == "overlap":
+            i, j = bbox_intersection(
+                self[x_name], self[y_name], other[x_name], other[y_name]
+            )
+            c = vertice_overlap(
+                self[x_name][i],
+                self[y_name][i],
+                other[x_name][j],
+                other[y_name][j],
+                **kwargs,
+            )
+        elif method == "close_center":
+            i, j, c = close_center(
+                self.latitude, self.longitude, other.latitude, other.longitude, **kwargs
+            )
+
         m = c > cmin
         return i[m], j[m], c[m]
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index b8576933..4a539e85 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -171,6 +171,31 @@ def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
     return i_x, i_y
 
 
+@njit(cache=True, fastmath=True)
+def close_center(x0, y0, x1, y1, delta=.1):
+    """
+    Compute an overlap with circle parameter and return a percentage
+
+    :param array x0: x centers of dataset 0
+    :param array y0: y centers of dataset 0
+    :param array x1: x centers of dataset 1
+    :param array y1: y centers of dataset 1
+    :return: Result of cost function
+    :rtype: array
+    """
+    nb0, nb1 = x0.shape[0], x1.shape[0]
+    i, j, c = list(), list(), list()
+    for i0 in range(nb0):
+        xi0, yi0 = x0[i0], y0[i0]
+        for i1 in range(nb1):
+            if abs(x1[i1] - xi0) > delta:
+                continue
+            if abs(y1[i1] - yi0) > delta:
+                continue
+            i.append(i0), j.append(i1), c.append(1)
+    return array(i), array(j), array(c)
+
+
 @njit(cache=True, fastmath=True)
 def bbox_intersection(x0, y0, x1, y1):
     """

From 64ad6c0df589c07397cfba055f33f49de5ada6f0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 9 Oct 2020 10:10:31 +0200
Subject: [PATCH 133/441] link method in example to autodoc

---
 doc/conf.py | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 43654b27..9409e534 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -42,12 +42,25 @@
 # autodoc conf
 autoclass_content = "both"
 
+# Example configuration for intersphinx: refer to the Python standard library.
+intersphinx_mapping = {
+    "numpy": ("https://numpy.org/doc/stable/", None),
+    "python": ("https://docs.python.org/3/", None),
+    "matplotlib": ("https://matplotlib.org/", None),
+}
+
+
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "python_module",
     "capture_repr": ("_repr_html_",),
     "backreferences_dir": "gen_modules/backreferences",
     "doc_module": ("py_eddy_tracker",),
+    "reference_url": {
+        "py_eddy_tracker": None,
+        "matplotlib": "https://matplotlib.org/",
+        "numpy": "https://docs.scipy.org/doc/numpy/",
+    },
     "line_numbers": False,
     "filename_pattern": "/pet",
     "binder": {
@@ -323,11 +336,3 @@
 
 # If true, do not generate a @detailmenu in the "Top" node's menu.
 # texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "numpy": ("https://numpy.org/doc/stable/", None),
-    "python": ("https://docs.python.org/3/", None),
-    "matplotlib": ("https://matplotlib.org/", None),
-}

From 59adc65da38413dda8351b1d32bd6bf8530fc426 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 9 Oct 2020 17:43:14 +0200
Subject: [PATCH 134/441] add comment , #29

---
 doc/index.rst                                                 | 1 +
 examples/08_tracking_manipulation/pet_run_a_tracking.py       | 4 +++-
 .../08_tracking_manipulation/pet_run_a_tracking.ipynb         | 4 ++--
 3 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/doc/index.rst b/doc/index.rst
index 80548e2a..cc06abfd 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -45,6 +45,7 @@ Welcome to py-eddy-tracker's documentation!
    autodoc/tracking
    autodoc/poly
    autodoc/generic
+   Source (Git) <https://github.com/AntSimi/py-eddy-tracker>
 
 
 Indices and tables
diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
index 8349bb05..64583c03 100644
--- a/examples/08_tracking_manipulation/pet_run_a_tracking.py
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -14,7 +14,9 @@
 
 
 # %%
-# Get remote data, we will keep only 180 first days
+# Get remote data, we will keep only 180 first days,
+# `get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename
+# and don't mix cyclonic and anticyclonic files.
 file_objects = get_remote_sample(
     "eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012"
 )[:180]
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index 3f00ff96..2055a37e 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nTrack in python\n===============\n\nThis example didn't replace EddyTracking, we remove check that application do and also postprocessing step.\n"
+        "\n# Track in python\n\nThis example didn't replace EddyTracking, we remove check that application do and also postprocessing step.\n"
       ]
     },
     {
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Get remote data, we will keep only 180 first days\n\n"
+        "Get remote data, we will keep only 180 first days\n`get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files\n\n"
       ]
     },
     {

From fcd83fde31ad244d8f78220cbb071169137e2ef4 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 9 Oct 2020 19:02:33 +0200
Subject: [PATCH 135/441] Add features to GUIEddy

---
 setup.py                         |   2 +-
 src/py_eddy_tracker/appli/gui.py |  19 ++++
 src/py_eddy_tracker/gui.py       | 153 ++++++++++++++++++++++---------
 src/scripts/GUIEddy              |  26 ------
 4 files changed, 131 insertions(+), 69 deletions(-)
 delete mode 100644 src/scripts/GUIEddy

diff --git a/setup.py b/setup.py
index 2e5fe91e..855e648c 100644
--- a/setup.py
+++ b/setup.py
@@ -30,7 +30,6 @@
         "src/scripts/EddyTracking",
         "src/scripts/EddyFinalTracking",
         "src/scripts/EddyMergeCorrespondances",
-        "src/scripts/GUIEddy",
     ],
     zip_safe=False,
     entry_points=dict(
@@ -48,6 +47,7 @@
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
             # anim/gui
             "EddyAnim = py_eddy_tracker.appli.gui:anim",
+            "GUIEddy = py_eddy_tracker.appli.gui:guieddy",
             # misc
             "ZarrDump = py_eddy_tracker.appli.misc:zarrdump",
         ]
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 522ee31e..9e52ea72 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -29,6 +29,7 @@
 from ..generic import flatten_line_matrix
 from .. import EddyParser
 from ..observations.tracking import TrackEddiesObservations
+from ..gui import GUI
 
 
 class Anim:
@@ -213,3 +214,21 @@ def anim():
         nb_step=args.keep_step,
     )
     a.show(infinity_loop=args.infinity_loop)
+
+
+def gui_parser():
+    parser = EddyParser("Eddy atlas GUI")
+    parser.add_argument("atlas", nargs="+")
+    parser.add_argument("--med", action="store_true")
+    return parser.parse_args()
+
+
+def guieddy():
+    args = gui_parser()
+    atlas = {
+        dataset: TrackEddiesObservations.load_file(dataset) for dataset in args.atlas
+    }
+    g = GUI(**atlas)
+    if args.med:
+        g.med()
+    g.show()
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index e1292df2..21bcf973 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -22,12 +22,10 @@
 """
 
 import numpy as np
-from datetime import datetime
 import matplotlib.pyplot as plt
+from datetime import datetime, timedelta
 from matplotlib.projections import register_projection
-import py_eddy_tracker_sample as sample
 from .generic import flatten_line_matrix, split_line
-from .observations.tracking import TrackEddiesObservations
 
 
 try:
@@ -65,10 +63,6 @@ def end_pan(self, *args, **kwargs):
 register_projection(GUIAxes)
 
 
-class A(TrackEddiesObservations):
-    pass
-
-
 def no(*args, **kwargs):
     return False
 
@@ -81,6 +75,7 @@ class GUI:
         "time_ax",
         "param_ax",
         "settings",
+        "d_indexs",
         "m",
         "last_event",
     )
@@ -89,6 +84,7 @@ class GUI:
 
     def __init__(self, **datasets):
         self.datasets = datasets
+        self.d_indexs = dict()
         self.m = dict()
         self.set_initial_values()
         self.setup()
@@ -140,8 +136,9 @@ def setup(self):
         # map
         self.map = self.figure.add_axes((0, 0.25, 1, 0.75), projection="full_axes")
         self.map.grid()
-        self.map.tick_params("x", pad=-12)
-        self.map.tick_params("y", pad=-22)
+        self.map.tick_params("both", pad=-22)
+        # self.map.tick_params("y", pad=-22)
+        self.map.bg_cache = None
         # time ax
         self.time_ax = self.figure.add_axes((0, 0.15, 1, 0.1), facecolor=".95")
         self.time_ax.can_pan
@@ -159,41 +156,65 @@ def setup(self):
         self.param_ax = self.figure.add_axes((0, 0, 1, 0.15), facecolor="0.2")
 
     def draw(self):
+        self.m["mini_ax"] = self.figure.add_axes((0.3, 0.85, 0.4, 0.15), zorder=80)
+        self.m["mini_ax"].grid()
         # map
         for i, (name, dataset) in enumerate(self.datasets.items()):
+            kwargs = dict(color=self.COLORS[i])
             self.m[name] = dict(
-                contour_s=self.map.plot(
-                    [], [], color=self.COLORS[i], lw=0.5, label=name
-                )[0],
-                contour_e=self.map.plot([], [], color=self.COLORS[i], lw=0.5)[0],
-                path_previous=self.map.plot([], [], color=self.COLORS[i], lw=0.5)[0],
-                path_future=self.map.plot([], [], color=self.COLORS[i], lw=0.2, ls=":")[
-                    0
-                ],
+                contour_s=self.map.plot([], [], lw=1, label=name, **kwargs)[0],
+                contour_e=self.map.plot([], [], lw=0.5, ls="-.", **kwargs)[0],
+                path_previous=self.map.plot([], [], lw=0.5, **kwargs)[0],
+                path_future=self.map.plot([], [], lw=0.2, ls=":", **kwargs)[0],
+                mini_line=self.m["mini_ax"].plot([], [], **kwargs, lw=1)[0]
             )
-        self.m["title"] = self.map.set_title("")
         # time_ax
+        self.m["annotate"] = self.map.annotate(
+            "",
+            (0, 0),
+            xycoords="figure pixels",
+            zorder=100,
+            fontsize=9,
+            bbox=dict(boxstyle="round", facecolor="w", edgecolor="0.5", alpha=0.85),
+        )
+        self.m["mini_ax"].set_visible(False)
+        self.m["annotate"].set_visible(False)
+
         self.m["time_vline"] = self.time_ax.axvline(0, color="k", lw=1)
         self.m["time_text"] = self.time_ax.text(
-            0, 0, "", fontsize=8, bbox=dict(facecolor="w", alpha=0.75)
+            0,
+            0,
+            "",
+            fontsize=8,
+            bbox=dict(facecolor="w", alpha=0.75),
+            verticalalignment="bottom",
         )
 
     def update(self):
-        # text = []
+        time_text = [
+            (timedelta(days=int(self.now)) + datetime(1950, 1, 1)).strftime("%d/%m/%Y")
+        ]
         # map
         xs, ys, ns = list(), list(), list()
         for j, (name, dataset) in enumerate(self.datasets.items()):
             i = self.indexs(dataset)
+            self.d_indexs[name] = i
             self.m[name]["contour_s"].set_label(f"{name} {len(i)} eddies")
             if len(i) == 0:
                 self.m[name]["contour_s"].set_data([], [])
+                self.m[name]["contour_e"].set_data([], [])
             else:
-                if 'contour_lon_s' in dataset.elements:
+                if "contour_lon_s" in dataset.elements:
                     self.m[name]["contour_s"].set_data(
                         flatten_line_matrix(dataset["contour_lon_s"][i]),
                         flatten_line_matrix(dataset["contour_lat_s"][i]),
                     )
-            # text.append(f"{i.shape[0]}")
+                if "contour_lon_e" in dataset.elements:
+                    self.m[name]["contour_e"].set_data(
+                        flatten_line_matrix(dataset["contour_lon_e"][i]),
+                        flatten_line_matrix(dataset["contour_lat_e"][i]),
+                    )
+            time_text.append(f"{i.shape[0]}")
             local_path = dataset.extract_ids(dataset["track"][i])
             x, y, t, n, tr = (
                 local_path.longitude,
@@ -229,12 +250,11 @@ def update(self):
             self.map.text(x_, y_, n_) for x_, y_, n_ in zip(x, y, n) if n_ >= n_min
         ]
 
-        self.m["title"].set_text(self.now)
         self.map.legend()
         # time ax
         x, y = self.m["time_vline"].get_data()
         self.m["time_vline"].set_data(self.now, y)
-        # self.m["time_text"].set_text("\n".join(text))
+        self.m["time_text"].set_text("\n".join(time_text))
         self.m["time_text"].set_position((self.now, 0))
         # force update
         self.map.figure.canvas.draw()
@@ -263,6 +283,30 @@ def press(self, event):
             self.time_ax.press = True
             self.time_ax.bg_cache = self.figure.canvas.copy_from_bbox(self.time_ax.bbox)
 
+    def get_infos(self, name, index):
+        i = self.d_indexs[name][index]
+        d = self.datasets[name]
+        now = d.obs[i]
+        tr = now["track"]
+        nb = d.nb_obs_by_track[tr]
+        i_first = d.index_from_track[tr]
+        track = d.obs[i_first : i_first + nb]
+        nb -= 1
+        t0 = timedelta(days=int(track[0]["time"])) + datetime(1950, 1, 1)
+        t1 = timedelta(days=int(track[-1]["time"])) + datetime(1950, 1, 1)
+        txt = f"--{name}--\n"
+        txt += f"    {t0} -> {t1}\n"
+        txt += f"    Tracks : {tr}  {now['n']}/{nb} ({now['n'] / nb * 100:.2f} %)\n"
+        for label, n, f, u in (
+            ("Amp.", "amplitude", 100, "cm"),
+            ("S. radius", "radius_s", 1e-3, "km"),
+            ("E. radius", "radius_e", 1e-3, "km"),
+        ):
+            v = track[n] * f
+            min_, max_, mean_, std_ = v.min(), v.max(), v.mean(), v.std()
+            txt += f"    {label} : {now[n] * f:.1f} {u} ({min_:.1f} <-{mean_:.1f}+-{std_:.1f}-> {max_:.1f})\n"
+        return track, txt.strip()
+
     def move(self, event):
         if event.inaxes == self.time_ax and self.time_ax.press:
             x, y = self.m["time_vline"].get_data()
@@ -271,6 +315,49 @@ def move(self, event):
             self.time_ax.draw_artist(self.m["time_vline"])
             self.figure.canvas.blit(self.time_ax.bbox)
 
+        if event.inaxes == self.map:
+            touch = dict()
+            for name in self.datasets.keys():
+                flag, data = self.m[name]["contour_s"].contains(event)
+                if flag:
+                    # 51 is for contour on 50 point must be rewrote
+                    touch[name] = data["ind"][0] // 51
+            a = self.m["annotate"]
+            ax = self.m["mini_ax"]
+            if touch:
+                if not a.get_visible():
+                    self.map.bg_cache = self.figure.canvas.copy_from_bbox(self.map.bbox)
+                    a.set_visible(True)
+                    ax.set_visible(True)
+                else:
+                    self.figure.canvas.restore_region(self.map.bg_cache)
+                a.set_x(event.x), a.set_y(event.y)
+                txt = list()
+                x0_, x1_, y1_ = list(), list(), list()
+                for name in self.datasets.keys():
+                    if name in touch:
+                        track, txt_ = self.get_infos(name, touch[name])
+                        txt.append(txt_)
+                        x, y = track["time"], track["radius_s"] / 1e3
+                        self.m[name]["mini_line"].set_data(x, y)
+                        x0_.append(x.min()), x1_.append(x.max()), y1_.append(y.max())
+                    else:
+                        self.m[name]["mini_line"].set_data([], [])
+                ax.set_xlim(min(x0_), max(x1_)), ax.set_ylim(0, max(y1_))
+                a.set_text("\n".join(txt))
+
+                self.map.draw_artist(a)
+                self.map.draw_artist(ax)
+                self.figure.canvas.blit(self.map.bbox)
+            if not flag and self.map.bg_cache is not None and a.get_visible():
+                a.set_visible(False)
+                ax.set_visible(False)
+                self.figure.canvas.restore_region(self.map.bg_cache)
+                self.map.draw_artist(a)
+                self.map.draw_artist(ax)
+                self.figure.canvas.blit(self.map.bbox)
+                self.map.bg_cache = None
+
     def release(self, event):
         if self.time_ax.press:
             self.time_ax.press = False
@@ -293,21 +380,3 @@ def adjust(self, event=None):
     def show(self):
         self.update()
         plt.show()
-
-
-if __name__ == "__main__":
-
-    # a_ = A.load_file(
-    # "/home/toto/dev/work/pet/20200611_example_dataset/tracking/Anticyclonic_track_too_short.nc"
-    # )
-    # c_ = A.load_file(
-    #     "/home/toto/dev/work/pet/20200611_example_dataset/tracking/Cyclonic_track_too_short.nc"
-    # )
-    a = A.load_file(sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"))
-    # c = A.load_file(sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"))
-    # g = GUI(Acyc=a, Cyc=c, Acyc_short=a_, Cyc_short=c_)
-    g = GUI(Acyc=a)
-    # g = GUI(Acyc_short=a_)
-    # g = GUI(Acyc_short=a_, Cyc_short=c_)
-    g.med()
-    g.show()
diff --git a/src/scripts/GUIEddy b/src/scripts/GUIEddy
deleted file mode 100644
index 754919a8..00000000
--- a/src/scripts/GUIEddy
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-Gui for eddy atlas
-"""
-from argparse import ArgumentParser
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.gui import GUI
-
-
-def parser():
-    parser = ArgumentParser("Eddy atlas GUI")
-    parser.add_argument("atlas", nargs="+")
-    parser.add_argument("--med", action="store_true")
-    return parser.parse_args()
-
-
-if __name__ == "__main__":
-    args = parser()
-    atlas = {
-        dataset: TrackEddiesObservations.load_file(dataset) for dataset in args.atlas
-    }
-    g = GUI(**atlas)
-    if args.med:
-        g.med()
-    g.show()

From 0f189be164ec648678517a75eba00fe099964c89 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 12 Oct 2020 10:53:45 +0200
Subject: [PATCH 136/441] Use updated method in example Update docstring

---
 .gitignore                                           |  1 +
 .../02_eddy_identification/pet_eddy_detection.py     |  7 +++----
 .../pet_interp_grid_on_dataset.py                    |  6 +++---
 examples/02_eddy_identification/pet_sla_and_adt.py   |  5 +++--
 .../02_eddy_identification/pet_contour_circle.ipynb  |  2 +-
 .../02_eddy_identification/pet_eddy_detection.ipynb  |  4 ++--
 .../pet_filter_and_detection.ipynb                   |  2 +-
 .../pet_interp_grid_on_dataset.ipynb                 |  8 ++++----
 .../02_eddy_identification/pet_radius_vs_area.ipynb  |  2 +-
 .../02_eddy_identification/pet_shape_gallery.ipynb   |  6 +++---
 .../02_eddy_identification/pet_sla_and_adt.ipynb     | 12 ++++++------
 .../06_grid_manipulation/pet_filter.ipynb            | 12 ++++++------
 .../pet_hide_pixel_out_eddies.ipynb                  |  2 +-
 .../08_tracking_manipulation/pet_display_field.ipynb |  2 +-
 .../08_tracking_manipulation/pet_display_track.ipynb |  2 +-
 .../08_tracking_manipulation/pet_one_track.ipynb     |  2 +-
 .../pet_run_a_tracking.ipynb                         |  2 +-
 .../pet_select_track_across_area.ipynb               |  2 +-
 .../08_tracking_manipulation/pet_track_anim.ipynb    |  2 +-
 .../pet_geographic_stats.ipynb                       |  2 +-
 .../10_tracking_diagnostics/pet_histo.ipynb          |  2 +-
 .../10_tracking_diagnostics/pet_pixel_used.ipynb     |  4 ++--
 src/py_eddy_tracker/appli/__init__.py                |  4 ++++
 src/py_eddy_tracker/dataset/grid.py                  |  1 +
 src/py_eddy_tracker/eddy_feature.py                  |  2 +-
 src/py_eddy_tracker/gui.py                           | 10 +++++++++-
 src/py_eddy_tracker/observations/observation.py      |  2 +-
 src/py_eddy_tracker/observations/tracking.py         |  2 +-
 28 files changed, 62 insertions(+), 48 deletions(-)

diff --git a/.gitignore b/.gitignore
index 050b49a5..fc3e1bf3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -71,6 +71,7 @@ instance/
 # Sphinx documentation
 docs/_build/
 doc/gen_modules/
+doc/_autosummary/
 
 # PyBuilder
 target/
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 83df941c..130b35ca 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -141,11 +141,10 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m)
 
 # %%
-# Display speed radius of eddies detected
+# Display speed radius of eddies detected with filled eddy contours
 ax = start_axes("Eddies speed radius (km)")
-a.filled(
-    ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
-)
+kwargs = dict(vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10)
+a.filled(ax, "radius_e", **kwargs)
 m = c.filled(
     ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
 )
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index b5181c3c..76b66b0d 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -54,11 +54,11 @@ def update_axes(ax, mappable=None):
 # %%
 # Get mean of eke in each effective contour
 
-ax = start_axes("EKE (cm²/s²)")
+ax = start_axes("EKE mean (cm²/s²)")
 a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
 eke = a.interp_grid(aviso_map, "eke", method="mean", intern=False)
-ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)
+a.filled(ax, eke, ref=-10, **eke_kwargs)
 eke = c.interp_grid(aviso_map, "eke", method="mean", intern=False)
-m = ax.scatter((c.longitude + 10) % 360 - 10, c.latitude, c=eke, **eke_kwargs)
+m = c.filled(ax, eke, ref=-10, **eke_kwargs)
 update_axes(ax, m)
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index 7d8fb288..b7024df8 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -133,8 +133,9 @@ def update_axes(ax, mappable=None):
     ax.set_xlabel("Absolute Dynamic Topography")
     ax.set_ylabel("Sea Level Anomaly")
 
-    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, "r.")
-    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, "b.")
+    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, "r.", label='Anticyclonic')
+    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, "b.", label='Cyclonic')
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
     ax.set_xlim(0, stop), ax.set_ylim(0, stop)
+    ax.legend()
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index 4f372a24..05f7d14e 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nDisplay contour & circle\n========================\n"
+        "\n# Display contour & circle\n"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 95e65a47..9e59b80f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -260,7 +260,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display speed radius of eddies detected\n\n"
+        "Display speed radius of eddies detected with filled eddy contours\n\n"
       ]
     },
     {
@@ -271,7 +271,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies speed radius (km)\")\na.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Eddies speed radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"radius_e\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index e668254b..c894797c 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.0"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
index 9997f659..47913a3f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    ax.legend()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    ax.legend()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# aviso_map.add_uv(\"adt\")\naviso_map.add_uv(\"sla\")"
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\naviso_map.add_uv(\"adt\")"
       ]
     },
     {
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"EKE (cm\u00b2/s\u00b2)\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\neke = a.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = ax.scatter((a.longitude + 10) % 360 - 10, a.latitude, c=eke, **eke_kwargs)\neke = c.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = ax.scatter((c.longitude + 10) % 360 - 10, c.latitude, c=eke, **eke_kwargs)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"EKE mean (cm\u00b2/s\u00b2)\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\neke = a.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\na.filled(ax, eke, ref=-10, **eke_kwargs)\neke = c.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = c.filled(ax, eke, ref=-10, **eke_kwargs)\nupdate_axes(ax, m)"
       ]
     }
   ],
@@ -111,7 +111,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.0"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
index ab2f4f78..20ce8467 100644
--- a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -107,7 +107,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.0"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
index 34687a19..33c8a46a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nShape error gallery\n===================\n\nGallery of contours with shape error\n"
+        "\n# Shape error gallery\n\nGallery of contours with shape error\n"
       ]
     },
     {
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Method to compute circle path\n\n"
+        "Method to built circle from center coordinates\n\n"
       ]
     },
     {
@@ -69,7 +69,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Shape error gallery\n-------------------\nFor each contour display, we display circle fitted, we work at different latitude circle could have distorsion\n\n"
+        "## Shape error gallery\nFor each contour display, we display circle fitted, we work at different latitude circle could have distorsion\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 8e166895..7015691a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nEddy detection on SLA and ADT\n=============================\n"
+        "\n# Eddy detection on SLA and ADT\n"
       ]
     },
     {
@@ -145,7 +145,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Match\n-----------------------\nWhere cyclone meet anticyclone\n\n"
+        "## Match\nWhere cyclone meet anticyclone\n\n"
       ]
     },
     {
@@ -156,14 +156,14 @@
       },
       "outputs": [],
       "source": [
-        "i_c_adt, i_a_sla, c = c_adt.match(a_sla, 0.1)\ni_a_adt, i_c_sla, c = a_adt.match(c_sla, 0.1)\n\nax = start_axes(\"Cyclone share area with anticyclone\")\na_adt.index(i_a_adt).display(ax, **kwargs_a_adt)\nc_adt.index(i_c_adt).display(ax, **kwargs_c_adt)\na_sla.index(i_a_sla).display(ax, **kwargs_a_sla)\nc_sla.index(i_c_sla).display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
+        "i_c_adt, i_a_sla, c = c_adt.match(a_sla, cmin=0.01)\ni_a_adt, i_c_sla, c = a_adt.match(c_sla, cmin=0.01)\n\nax = start_axes(\"Cyclone share area with anticyclone\")\na_adt.index(i_a_adt).display(ax, **kwargs_a_adt)\nc_adt.index(i_c_adt).display(ax, **kwargs_c_adt)\na_sla.index(i_a_sla).display(ax, **kwargs_a_sla)\nc_sla.index(i_c_sla).display(ax, **kwargs_c_sla)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Scatter plot\n------------\n\n"
+        "## Scatter plot\n\n"
       ]
     },
     {
@@ -174,7 +174,7 @@
       },
       "outputs": [],
       "source": [
-        "i_a_adt, i_a_sla, c = a_adt.match(a_sla, 0.1)\ni_c_adt, i_c_sla, c = c_adt.match(c_sla, 0.1)"
+        "i_a_adt, i_a_sla, c = a_adt.match(a_sla, cmin=0.1)\ni_c_adt, i_c_sla, c = c_adt.match(c_sla, cmin=0.1)"
       ]
     },
     {
@@ -203,7 +203,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Absolute Dynamic Topography\")\n    ax.set_ylabel(\"Sea Level Anomaly\")\n\n    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, \"r.\")\n    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, \"b.\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Absolute Dynamic Topography\")\n    ax.set_ylabel(\"Sea Level Anomaly\")\n\n    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, \"r.\", label='Anticyclonic')\n    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, \"b.\", label='Cyclonic')\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index f4f798a6..9b801f78 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nGrid filtering in PET\n=====================\n\nHow filter work in py eddy tracker. This implementation maybe doesn't respect state art, but ...\n\nWe code a specific filter in order to filter grid with same wavelength at each pixel.\n"
+        "\n# Grid filtering in PET\n\nHow filter work in py eddy tracker. This implementation maybe doesn't respect state art, but ...\n\nWe code a specific filter in order to filter grid with same wavelength at each pixel.\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Kernel\n------\nShape of kernel will increase in x, when latitude increase\n\n"
+        "## Kernel\nShape of kernel will increase in x, when latitude increase\n\n"
       ]
     },
     {
@@ -87,7 +87,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Kernel applying\n---------------\nOriginal grid\n\n"
+        "## Kernel applying\nOriginal grid\n\n"
       ]
     },
     {
@@ -141,7 +141,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Clues\n-----\nwavelength : 80km\n\n"
+        "## Clues\nwavelength : 80km\n\n"
       ]
     },
     {
@@ -195,7 +195,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Old filter\n----------\nTo do ...\n\n"
+        "## Old filter\nTo do ...\n\n"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index 823c37c4..b3c6ff93 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nSelect pixel in eddies\n======================\n"
+        "\n# Select pixel in eddies\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
index f260e137..3eb6aaa5 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nDisplay fields\n==============\n"
+        "\n# Display fields\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index 34989f51..15a696ae 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "keep only eddies longer than 20 weeks\n\n"
+        "keep only eddies longer than 20 weeks, use -1 to have no upper limit\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index 21455f51..a4914723 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nOne Track\n===================\n"
+        "\n# One Track\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index 2055a37e..b834ace6 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Get remote data, we will keep only 180 first days\n`get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files\n\n"
+        "Get remote data, we will keep only 180 first days,\n`get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files.\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index 1cdefe1f..2c251866 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nTracks which go through area\n============================\n"
+        "\n# Tracks which go through area\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index e9c9e4dc..1904bece 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nTrack animation\n===============\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+        "\n# Track animation\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index e4d31e85..cedad8b9 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nGeographical statistics\n=======================\n"
+        "\n# Geographical statistics\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index 77317b16..a8c32675 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nParameter Histogram\n===================\n"
+        "\n# Parameter Histogram\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index bf930464..d2372057 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nCount pixel used\n======================\n"
+        "\n# Count pixel used\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm())\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/appli/__init__.py b/src/py_eddy_tracker/appli/__init__.py
index e69de29b..721f5a41 100644
--- a/src/py_eddy_tracker/appli/__init__.py
+++ b/src/py_eddy_tracker/appli/__init__.py
@@ -0,0 +1,4 @@
+# -*- coding: utf-8 -*-
+"""
+Entry point
+"""
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 082a331c..e87ba747 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 """
+Class to load and manipulate RegularGrid and UnRegularGrid
 """
 import logging
 from numpy import (
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 8865f400..843c47ff 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -593,7 +593,7 @@ def display(
             bins argument must be define
         :param array bins: bins use to colorize contour
         :param str cmap: Name of cmap to use for field display
-        :param dict kwargs: look at :py:method:`matplotlib.collections.LineCollection`
+        :param dict kwargs: look at :py:meth:`matplotlib.collections.LineCollection`
 
         .. minigallery:: py_eddy_tracker.Contours.display
         """
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 21bcf973..22eb170f 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -34,12 +34,20 @@
     from matplotlib.axes import Axes
 
     class PlatCarreAxes(Axes):
+        """
+        Class to replace missing pylook class
+        """
+
         def __init__(self, *args, **kwargs):
             super().__init__(*args, **kwargs)
             self.set_aspect("equal")
 
 
 class GUIAxes(PlatCarreAxes):
+    """
+    Axes which will use full space available
+    """
+
     name = "full_axes"
 
     def end_pan(self, *args, **kwargs):
@@ -166,7 +174,7 @@ def draw(self):
                 contour_e=self.map.plot([], [], lw=0.5, ls="-.", **kwargs)[0],
                 path_previous=self.map.plot([], [], lw=0.5, **kwargs)[0],
                 path_future=self.map.plot([], [], lw=0.2, ls=":", **kwargs)[0],
-                mini_line=self.m["mini_ax"].plot([], [], **kwargs, lw=1)[0]
+                mini_line=self.m["mini_ax"].plot([], [], **kwargs, lw=1)[0],
             )
         # time_ax
         self.m["annotate"] = self.map.annotate(
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index a3a5debb..15dade96 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1497,7 +1497,7 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         if ref is not None:
             x = (x - ref) % 360 + ref
         kwargs = kwargs.copy()
-        if name is not None:
+        if name is not None and 'c' not in kwargs:
             kwargs['c'] = self[name] * factor
         return ax.scatter(x, self.latitude, **kwargs)
 
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index efe2527e..61eeaffa 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -665,7 +665,7 @@ def track_loess_filter(half_window, x, y, track):
 @njit(cache=True)
 def track_median_filter(half_window, x, y, track):
     """
-    Apply a loess filter on y field
+    Apply a median filter on y field
 
     :param int,float half_window: parameter of smoother
     :param array_like x: must be growing for each track but could be irregular

From e761210f7539ebbd7d346d11e7475f19a5816851 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 12 Oct 2020 11:27:39 +0200
Subject: [PATCH 137/441] Do some change on sst example : #24

---
 README.md                                     |   5 +-
 examples/12_external_data/README.rst          |   2 +
 examples/12_external_data/SST_collocation.py  | 143 -----------
 .../12_external_data/pet_SST_collocation.py   | 124 ++++++++++
 .../pet_SST_collocation.ipynb                 | 234 ++++++++++++++++++
 ...T-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc} | Bin
 6 files changed, 364 insertions(+), 144 deletions(-)
 create mode 100644 examples/12_external_data/README.rst
 delete mode 100644 examples/12_external_data/SST_collocation.py
 create mode 100644 examples/12_external_data/pet_SST_collocation.py
 create mode 100644 notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
 rename src/py_eddy_tracker/data/{20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4 => 20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc} (100%)

diff --git a/README.md b/README.md
index f04ec1c6..ca3a0b26 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,7 @@
-[![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker) [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=stable)](https://py-eddy-tracker.readthedocs.io/en/stable/?badge=stable) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
+[![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker)
+[![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=stable)](https://py-eddy-tracker.readthedocs.io/en/stable/?badge=stable)
+[![Gitter](https://badges.gitter.im/py-eddy-tracker/community.svg)](https://gitter.im/py-eddy-tracker/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) 
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
 
 # README #
 
diff --git a/examples/12_external_data/README.rst b/examples/12_external_data/README.rst
new file mode 100644
index 00000000..cc9d4e2f
--- /dev/null
+++ b/examples/12_external_data/README.rst
@@ -0,0 +1,2 @@
+External data
+=============
diff --git a/examples/12_external_data/SST_collocation.py b/examples/12_external_data/SST_collocation.py
deleted file mode 100644
index c437f5c9..00000000
--- a/examples/12_external_data/SST_collocation.py
+++ /dev/null
@@ -1,143 +0,0 @@
-"""
-Collocating external data
-==========================
-
-Script will use py-eddy-tracker methods to upload external data (sea surface temperature, SST) in a common structure with altimetry.
-
-Figures higlights the different steps.
-
-"""
-
-from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker import data
-import cartopy.crs as ccrs
-from datetime import datetime
-from numpy import ma, meshgrid
-
-datest = '20160707'
-
-filename_alt = "../l4_cmems/dt_blacksea_allsat_phy_l4_"+datest+"_20200801.nc" 
-lon_name_alt = 'longitude'
-lat_name_alt = 'latitude'
-
-filename_sst = "../SST/"+datest+"000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4" 
-lon_name_sst = 'lon'
-lat_name_sst = 'lat'
-var_name_sst = 'analysed_sst'
-
-extent = [27, 42, 40.5, 47]
-
-# %%
-# Functions to initiate figure axes
-def start_axes(title, extent=extent, fig=None, sp=None):
-    if fig is None:
-        fig = plt.figure(figsize=(13, 5))
-        ax = fig.add_axes([0.03, 0.03, 0.90, 0.94],projection=ccrs.PlateCarree())
-    else:
-        ax = fig.add_subplot(sp,projection=ccrs.PlateCarree())
-            
-    ax.set_extent(extent)
-    ax.gridlines()
-    ax.coastlines(resolution='50m')
-    ax.set_title(title)
-    return ax
-
-def update_axes(ax, mappable=None, unit=''):
-    ax.grid()
-    if mappable:  
-        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9],title=unit))
-
-# %%
-# Loading SLA and first display
-# -----------------------------
-g = RegularGridDataset(data.get_path(filename_alt), lon_name_alt,lat_name_alt)
-ax = start_axes("SLA", extent=extent)
-m = g.display(ax, "sla", vmin=0.05, vmax=0.35)
-u,v = g.grid("ugosa").T,g.grid("vgosa").T
-ax.quiver(g.x_c, g.y_c, u, v, scale=10)
-update_axes(ax, m, unit='[m]')
-
-# %%
-# Loading SST and first display
-# -----------------------------
-t = RegularGridDataset(filename=data.get_path(filename_sst),
-                       x_name=lon_name_sst,
-                       y_name=lat_name_sst)
-
-# The following now load the corresponding variables from the SST netcdf (it's not needed to load it beforehand, so not executed.)
-# t.grid(var_name_sst)
-
-# %% 
-# We can now plot SST from `t`
-ax = start_axes("SST title")
-m = t.display(ax, 'analysed_sst', vmin=295, vmax=300)
-update_axes(ax, m, unit='[°K]')
-
-# %% 
-# Including SST in the Altimetry grid
-# -----------------------------------
-# We can use `Grid` tools to interpolate SST on the altimetry grid
-
-lons, lats = meshgrid(g.x_c, g.y_c)
-shape = lats.shape
-
-# flat grid before interp
-lons, lats = lons.reshape(-1), lats.reshape(-1)
-
-# interp and reshape
-ti = t.interp('analysed_sst', lons, lats).reshape(shape).T
-ti = ma.masked_invalid(ti)
-
-# %% 
-# and add it to `g`
-g.add_grid('sst',ti)
-
-# %%
-ax = start_axes("SST")
-m = g.display(ax, "sst", vmin=295, vmax=300)
-u,v = g.grid("ugosa").T,g.grid("vgosa").T
-ax.quiver(g.x_c, g.y_c, u, v, scale=10)
-update_axes(ax, m, unit='[°K]')
-
-# %%
-# Now, with eddy contours, and displaying SST anomaly
-# ! lazy patch since add_grid isn't currently completing g.variables_description
-g.variables_description['sst'] = t.variables_description[var_name_sst]
-g.copy("sst", "sst_high")
-g.bessel_high_filter('sst_high',200)
-
-# %% 
-# Eddy detection
-date = datetime.strptime(datest,'%Y%m%d')
-a, c = g.eddy_identification("sla", "ugosa", "vgosa", date, 0.002)
-
-# %%
-kwargs_a = dict(lw=2, label="Anticyclonic", ref=-10, color="b")
-kwargs_c = dict(lw=2, label="Cyclonic", ref=-10, color="r")
-ax = start_axes("SST anomaly")
-m = g.display(ax, "sst_high", vmin=-1, vmax=1)
-ax.quiver(g.x_c, g.y_c, u, v, scale=20)
-a.display(ax, **kwargs_a), c.display(ax, **kwargs_c)
-update_axes(ax, m, unit='[°K]')
-
-# %% 
-# Example of post-processing
-# --------------------------
-# Get mean of sst anomaly_high in each internal contour
-anom_a = a.interp_grid(g, "sst_high", method="mean", intern=True)
-anom_c = c.interp_grid(g, "sst_high", method="mean", intern=True)
-
-# %% 
-# Are cyclonic (resp. anticyclonic) eddies generally associated with positive (resp. negative) SST anomaly ? 
-fig = plt.figure(figsize=(5, 5))
-ax = fig.add_axes([0.03, 0.03, 0.90, 0.90])
-ax.set_xlabel("SST anomaly")
-ax.set_xlim([-1,1])
-ax.set_title('Histograms of SST anomalies')
-ax.hist(anom_a,5, alpha=0.5, label = 'Anticyclonic (mean:%s)'%(anom_a.mean()))
-ax.hist(anom_c,5, alpha=0.5, label = 'Cyclonic (mean:%s)'%(anom_c.mean()))
-ax.legend()
-
-# %% 
-# Not clearly so in that case ..
diff --git a/examples/12_external_data/pet_SST_collocation.py b/examples/12_external_data/pet_SST_collocation.py
new file mode 100644
index 00000000..dececb3f
--- /dev/null
+++ b/examples/12_external_data/pet_SST_collocation.py
@@ -0,0 +1,124 @@
+"""
+Collocating external data
+==========================
+
+Script will use py-eddy-tracker methods to upload external data (sea surface temperature, SST)
+in a common structure with altimetry.
+
+Figures higlights the different steps.
+"""
+
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from datetime import datetime
+from py_eddy_tracker import data
+
+date = datetime(2016, 7, 7)
+
+filename_alt = data.get_path(f"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc")
+filename_sst = data.get_path(
+    f"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc"
+)
+var_name_sst = "analysed_sst"
+
+extent = [27, 42, 40.5, 47]
+
+# %%
+# Loading data
+# -----------------------------
+sst = RegularGridDataset(filename=filename_sst, x_name="lon", y_name="lat")
+alti = RegularGridDataset(
+    data.get_path(filename_alt), x_name="longitude", y_name="latitude"
+)
+# We can use `Grid` tools to interpolate ADT on the sst grid
+sst.regrid(alti, "sla")
+sst.add_uv("sla")
+
+
+# %%
+# Functions to initiate figure axes
+def start_axes(title, extent=extent):
+    fig = plt.figure(figsize=(13, 6), dpi=120)
+    ax = fig.add_axes([0.03, 0.05, 0.89, 0.91])
+    ax.set_xlim(extent[0], extent[1])
+    ax.set_ylim(extent[2], extent[3])
+    ax.set_title(title)
+    ax.set_aspect("equal")
+    return ax
+
+
+def update_axes(ax, mappable=None, unit=""):
+    ax.grid()
+    if mappable:
+        cax = ax.figure.add_axes([0.93, 0.05, 0.01, 0.9], title=unit)
+        plt.colorbar(mappable, cax=cax)
+
+
+# %%
+# ADT first display
+# -----------------------------
+ax = start_axes("SLA", extent=extent)
+m = sst.display(ax, "sla", vmin=0.05, vmax=0.35)
+update_axes(ax, m, unit="[m]")
+
+# %%
+# SST first display
+# -----------------------------
+
+# %%
+# We can now plot SST from `sst`
+ax = start_axes("SST")
+m = sst.display(ax, "analysed_sst", vmin=295, vmax=300)
+update_axes(ax, m, unit="[°K]")
+
+# %%
+ax = start_axes("SST")
+m = sst.display(ax, "analysed_sst", vmin=295, vmax=300)
+u, v = sst.grid("u").T, sst.grid("v").T
+ax.quiver(sst.x_c[::3], sst.y_c[::3], u[::3, ::3], v[::3, ::3], scale=10)
+update_axes(ax, m, unit="[°K]")
+
+# %%
+# Now, with eddy contours, and displaying SST anomaly
+sst.bessel_high_filter("analysed_sst", 400)
+
+# %%
+# Eddy detection
+sst.bessel_high_filter("sla", 400)
+# ADT filtered
+ax = start_axes("SLA", extent=extent)
+m = sst.display(ax, "sla", vmin=-0.1, vmax=0.1)
+update_axes(ax, m, unit="[m]")
+a, c = sst.eddy_identification("sla", "u", "v", date, 0.002)
+
+# %%
+kwargs_a = dict(lw=2, label="Anticyclonic", ref=-10, color="b")
+kwargs_c = dict(lw=2, label="Cyclonic", ref=-10, color="r")
+ax = start_axes("SST anomaly")
+m = sst.display(ax, "analysed_sst", vmin=-1, vmax=1)
+a.display(ax, **kwargs_a), c.display(ax, **kwargs_c)
+ax.legend()
+update_axes(ax, m, unit="[°K]")
+
+# %%
+# Example of post-processing
+# --------------------------
+# Get mean of sst anomaly_high in each internal contour
+anom_a = a.interp_grid(sst, "analysed_sst", method="mean", intern=True)
+anom_c = c.interp_grid(sst, "analysed_sst", method="mean", intern=True)
+
+# %%
+# Are cyclonic (resp. anticyclonic) eddies generally associated with positive (resp. negative) SST anomaly ?
+fig = plt.figure(figsize=(7, 5))
+ax = fig.add_axes([0.05, 0.05, 0.90, 0.90])
+ax.set_xlabel("SST anomaly")
+ax.set_xlim([-1, 1])
+ax.set_title("Histograms of SST anomalies")
+ax.hist(
+    anom_a, 5, alpha=0.5, color="b", label="Anticyclonic (mean:%s)" % (anom_a.mean())
+)
+ax.hist(anom_c, 5, alpha=0.5, color="r", label="Cyclonic (mean:%s)" % (anom_c.mean()))
+ax.legend()
+
+# %%
+# Not clearly so in that case ..
diff --git a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
new file mode 100644
index 00000000..0e53e49f
--- /dev/null
+++ b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
@@ -0,0 +1,234 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Collocating external data\n\nScript will use py-eddy-tracker methods to upload external data (sea surface temperature, SST)\nin a common structure with altimetry.\n\nFigures higlights the different steps.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom datetime import datetime\nfrom py_eddy_tracker import data\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Loading data\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "sst = RegularGridDataset(filename=filename_sst, x_name=\"lon\", y_name=\"lat\")\nalti = RegularGridDataset(\n    data.get_path(filename_alt), x_name=\"longitude\", y_name=\"latitude\"\n)\n# We can use `Grid` tools to interpolate ADT on the sst grid\nsst.regrid(alti, \"sla\")\nsst.add_uv(\"sla\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Functions to initiate figure axes\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title, extent=extent):\n    fig = plt.figure(figsize=(13, 6), dpi=120)\n    ax = fig.add_axes([0.03, 0.05, 0.89, 0.91])\n    ax.set_xlim(extent[0], extent[1])\n    ax.set_ylim(extent[2], extent[3])\n    ax.set_title(title)\n    ax.set_aspect(\"equal\")\n    return ax\n\n\ndef update_axes(ax, mappable=None, unit=\"\"):\n    ax.grid()\n    if mappable:\n        cax = ax.figure.add_axes([0.93, 0.05, 0.01, 0.9], title=unit)\n        plt.colorbar(mappable, cax=cax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## ADT first display\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"SLA\", extent=extent)\nm = sst.display(ax, \"sla\", vmin=0.05, vmax=0.35)\nupdate_axes(ax, m, unit=\"[m]\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## SST first display\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can now plot SST from `sst`\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"SST\")\nm = sst.display(ax, \"analysed_sst\", vmin=295, vmax=300)\nupdate_axes(ax, m, unit=\"[\u00b0K]\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"SST\")\nm = sst.display(ax, \"analysed_sst\", vmin=295, vmax=300)\nu, v = sst.grid(\"u\").T, sst.grid(\"v\").T\nax.quiver(sst.x_c[::3], sst.y_c[::3], u[::3, ::3], v[::3, ::3], scale=10)\nupdate_axes(ax, m, unit=\"[\u00b0K]\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now, with eddy contours, and displaying SST anomaly\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "sst.bessel_high_filter(\"analysed_sst\", 400)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Eddy detection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "sst.bessel_high_filter(\"sla\", 400)\n# ADT filtered\nax = start_axes(\"SLA\", extent=extent)\nm = sst.display(ax, \"sla\", vmin=-0.1, vmax=0.1)\nupdate_axes(ax, m, unit=\"[m]\")\na, c = sst.eddy_identification(\"sla\", \"u\", \"v\", date, 0.002)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kwargs_a = dict(lw=2, label=\"Anticyclonic\", ref=-10, color=\"b\")\nkwargs_c = dict(lw=2, label=\"Cyclonic\", ref=-10, color=\"r\")\nax = start_axes(\"SST anomaly\")\nm = sst.display(ax, \"analysed_sst\", vmin=-1, vmax=1)\na.display(ax, **kwargs_a), c.display(ax, **kwargs_c)\nax.legend()\nupdate_axes(ax, m, unit=\"[\u00b0K]\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Example of post-processing\nGet mean of sst anomaly_high in each internal contour\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "anom_a = a.interp_grid(sst, \"analysed_sst\", method=\"mean\", intern=True)\nanom_c = c.interp_grid(sst, \"analysed_sst\", method=\"mean\", intern=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Are cyclonic (resp. anticyclonic) eddies generally associated with positive (resp. negative) SST anomaly ?\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(7, 5))\nax = fig.add_axes([0.05, 0.05, 0.90, 0.90])\nax.set_xlabel(\"SST anomaly\")\nax.set_xlim([-1, 1])\nax.set_title(\"Histograms of SST anomalies\")\nax.hist(\n    anom_a, 5, alpha=0.5, color=\"b\", label=\"Anticyclonic (mean:%s)\" % (anom_a.mean())\n)\nax.hist(anom_c, 5, alpha=0.5, color=\"r\", label=\"Cyclonic (mean:%s)\" % (anom_c.mean()))\nax.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Not clearly so in that case ..\n\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4 b/src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc
similarity index 100%
rename from src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc4
rename to src/py_eddy_tracker/data/20160707000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc

From a3ba91ef7c3cfd647ee7797d1fd998d7c92aad89 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 12 Oct 2020 16:37:10 +0200
Subject: [PATCH 138/441] Add function to know if positions are in eddies

---
 src/py_eddy_tracker/generic.py                |  2 +
 .../observations/observation.py               | 85 ++++++++++++++-----
 2 files changed, 66 insertions(+), 21 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index f94c40fc..5ddf28f4 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -290,6 +290,8 @@ def simplify(x, y, precision=0.1):
     mask = ones(nb, dtype=bool_)
     for i in range(1, nb):
         x_, y_ = x[i], y[i]
+        if isnan(x_) or isnan(y_):
+            continue
         d_x = x_ - x_previous
         if d_x > precision:
             x_previous, y_previous = x_, y_
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 15dade96..7b7f1e4e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -81,6 +81,7 @@
     create_vertice,
     close_center,
     get_pixel_in_regular,
+    winding_number_poly,
 )
 
 logger = logging.getLogger("pet")
@@ -1497,14 +1498,14 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         if ref is not None:
             x = (x - ref) % 360 + ref
         kwargs = kwargs.copy()
-        if name is not None and 'c' not in kwargs:
-            kwargs['c'] = self[name] * factor
+        if name is not None and "c" not in kwargs:
+            kwargs["c"] = self[name] * factor
         return ax.scatter(x, self.latitude, **kwargs)
 
     def filled(
         self,
         ax,
-        varname,
+        varname=None,
         ref=None,
         intern=False,
         cmap="magma_r",
@@ -1516,7 +1517,7 @@ def filled(
     ):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str,array varname: var which will be use to fill contour, or an array of same size of obs
+        :param str,array varname, None: var which will be use to fill contour, or an array of same size of obs
         :param float,None ref: if define use like west bound
         :param bool intern: if True draw speed contour instead of effective contour
         :param str cmap: matplotlib colormap name
@@ -1529,26 +1530,28 @@ def filled(
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.filled
         """
-        cmap = get_cmap(cmap, lut)
         x_name, y_name = self.intern(intern)
-        v = (self[varname] if isinstance(varname, str) else varname) * factor
         x, y = self[x_name], self[y_name]
         if ref is not None:
             # TODO : maybe buggy with global display
             shape_out = x.shape
             x, y = wrap_longitude(x.reshape(-1), y.reshape(-1), ref)
             x, y = x.reshape(shape_out), y.reshape(shape_out)
-        if vmin is None:
-            vmin = v.min()
-        if vmax is None:
-            vmax = v.max()
-        v = (v - vmin) / (vmax - vmin)
         verts = list()
-        colors = list()
-        for x_, y_, v_ in zip(x, y, v):
+        for x_, y_ in zip(x, y):
             verts.append(create_vertice(x_, y_))
-            colors.append(cmap(v_))
-        c = PolyCollection(verts, facecolors=colors, **kwargs)
+        if "facecolors" not in kwargs:
+            kwargs = kwargs.copy()
+            cmap = get_cmap(cmap, lut)
+            v = (self[varname] if isinstance(varname, str) else varname) * factor
+            if vmin is None:
+                vmin = v.min()
+            if vmax is None:
+                vmax = v.max()
+            v = (v - vmin) / (vmax - vmin)
+            colors = [cmap(v_) for v_ in v]
+            kwargs["facecolors"] = colors
+        c = PolyCollection(verts, **kwargs)
         ax.add_collection(c)
         c.cmap = cmap
         c.norm = Normalize(vmin=vmin, vmax=vmax)
@@ -1627,6 +1630,19 @@ def last_obs(self):
         m[:-1][self["n"][1:] == 0] = True
         return self.extract_with_mask(m)
 
+    def inside(self, x, y, intern=False):
+        """
+        True for each postion inside an eddy
+
+        :param array x: longitude
+        :param array y: latitude
+        :param bool intern: If true use speed contour instead of effective contour
+        :return: flag
+        :rtype: array[bool]
+        """
+        xname, yname = self.intern(intern)
+        return insidepoly(x, y, self[xname], self[yname])
+
     def grid_count(self, bins, intern=False, center=False):
         """
         Compute count of eddies in each bin (use of all pixel in each contour)
@@ -1720,14 +1736,14 @@ def interp_grid(
         """
         if method == "center":
             return grid_object.interp(varname, self.longitude, self.latitude)
-        elif method in ("min", "max", "mean", 'count'):
+        elif method in ("min", "max", "mean", "count"):
             x0 = grid_object.x_bounds[0]
             x_name, y_name = self.intern(False if intern is None else intern)
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
             x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             grid = grid_object.grid(varname)
             result = empty(self.shape, dtype=grid.dtype if dtype is None else dtype)
-            min_method = method == 'min'
+            min_method = method == "min"
             grid_stat(
                 grid_object.x_c,
                 grid_object.y_c,
@@ -1736,7 +1752,7 @@ def interp_grid(
                 y,
                 result,
                 grid_object.is_circular(),
-                method='max' if min_method else method
+                method="max" if min_method else method,
             )
             return -result if min_method else result
         else:
@@ -1760,7 +1776,34 @@ def grid_count_(grid, i, j):
 
 
 @njit(cache=True)
-def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method='mean'):
+def insidepoly(x_p, y_p, x_c, y_c):
+    """
+    True for each postion inside an contour
+
+    :param array x_p: longitude to test
+    :param array y_p: latitude to test
+    :param array x_c: longitude of contours
+    :param array y_c: latitude of contours
+    """
+    nb_p = x_p.shape[0]
+    nb_c = x_c.shape[0]
+    flag = zeros(nb_p, dtype=numba_types.bool_)
+    for i in range(nb_c):
+        x_c_min, y_c_min = x_c[i].min(), y_c[i].min()
+        x_c_max, y_c_max = x_c[i].max(), y_c[i].max()
+        v = create_vertice(x_c[i], y_c[i])
+        for j in range(nb_p):
+            x, y = x_p[j], y_p[j]
+            if flag[j]:
+                continue
+            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
+                if winding_number_poly(x, y, v) != 0:
+                    flag[j] = True
+    return flag
+
+
+@njit(cache=True)
+def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     """
     Compute mean of grid for each contour
 
@@ -1777,8 +1820,8 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method='mean'):
     xstep, ystep = x_c[1] - x_c[0], y_c[1] - y_c[0]
     x0, y0 = x_c - xstep / 2.0, y_c - ystep / 2.0
     nb_x = x_c.shape[0]
-    max_method = 'max' == method
-    mean_method = 'mean' == method
+    max_method = "max" == method
+    mean_method = "mean" == method
     for elt in range(nb):
         v = create_vertice(x[elt], y[elt],)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(

From 57f7e3ec30b3e92e879ee50d54478d27108125e3 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 13 Oct 2020 13:58:45 +0200
Subject: [PATCH 139/441] Add animation example

---
 doc/conf.py                                   |  1 +
 .../pet_track_anim.py                         |  3 +-
 .../pet_track_anim_matplotlib_animation.py    | 33 +++++++
 .../pet_track_anim.ipynb                      |  2 +-
 .../pet_track_anim_matplotlib_animation.ipynb | 90 +++++++++++++++++++
 src/py_eddy_tracker/appli/gui.py              | 34 +++++--
 6 files changed, 152 insertions(+), 11 deletions(-)
 create mode 100644 examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb

diff --git a/doc/conf.py b/doc/conf.py
index 9409e534..31db3125 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -63,6 +63,7 @@
     },
     "line_numbers": False,
     "filename_pattern": "/pet",
+    "matplotlib_animations": True,
     "binder": {
         # Required keys
         "org": "AntSimi",
diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index 36d847a3..753b91c5 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -14,7 +14,8 @@
 a = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
 )
-eddy = a.extract_ids([9672])
+# We get only 300 first step to save time of documentation builder
+eddy = a.extract_ids([9672]).index(slice(0, 300))
 
 # %%
 # Run animation
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
new file mode 100644
index 00000000..7d490b00
--- /dev/null
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -0,0 +1,33 @@
+"""
+Track animation
+===============
+
+Run in a terminal this script, which allow to watch eddy evolution
+
+"""
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+from py_eddy_tracker.appli.gui import Anim
+import py_eddy_tracker_sample
+from matplotlib.animation import FuncAnimation
+from numpy import arange
+
+# %%
+# Load experimental atlas, and we select one eddy
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+eddy = a.extract_ids([9672])
+
+# %%
+# Run animation
+a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap="magma_r", nb_step=6)
+a.txt.set_position((17, 34.6))
+a.ax.set_xlim(16.5, 23)
+a.ax.set_ylim(34.5, 37)
+
+# arguments to get full animation
+# kwargs = dict(frames=arange(*a.period), interval=50)
+# arguments to reduce compute cost for doucmentation, we display only every 10 days
+kwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)
+
+ani = FuncAnimation(a.fig, a.func_animation, **kwargs)
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 1904bece..6e4faad6 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n# We get only 300 first step to save time of documentation builder\neddy = a.extract_ids([9672]).index(slice(0, 300))"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
new file mode 100644
index 00000000..9b36141a
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -0,0 +1,90 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Track animation\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli.gui import Anim\nimport py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load experimental atlas, and we select one eddy\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Run animation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=6)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\nkwargs = dict(frames=arange(*a.period), interval=50)\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)\n\nani = FuncAnimation(a.fig, a.func_animation, **kwargs)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 9e52ea72..5dac9024 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -33,18 +33,19 @@
 
 
 class Anim:
-    def __init__(self, eddy, intern=False, sleep_event=0.1, **kwargs):
+    def __init__(self, eddy, intern=False, sleep_event=0.1, graphic_information=False, **kwargs):
         self.eddy = eddy
         x_name, y_name = eddy.intern(intern)
         self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
         self.x_core, self.y_core, self.track = eddy["lon"], eddy["lat"], eddy["track"]
+        self.graphic_informations = graphic_information
         self.pause = False
         self.period = self.eddy.period
         self.sleep_event = sleep_event
         self.mappables = list()
         self.setup(**kwargs)
 
-    def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
+    def setup(self, cmap="jet", nb_step=25, figsize=(8, 6), **kwargs):
         cmap = pyplot.get_cmap(cmap)
         self.colors = cmap(arange(nb_step + 1) / nb_step)
         self.nb_step = nb_step
@@ -54,7 +55,7 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
         y_min, y_max = self.y_core.min() - 2, self.y_core.max() + 2
         d_y = y_max - y_min
         # plot
-        self.fig = pyplot.figure(figsize=figsize)
+        self.fig = pyplot.figure(figsize=figsize, **kwargs)
         t0, t1 = self.period
         self.fig.suptitle(f"{t0} -> {t1}")
         self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
@@ -63,6 +64,7 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6)):
         self.ax.grid()
         # init mappable
         self.txt = self.ax.text(x_min + 0.05 * d_x, y_min + 0.05 * d_y, "", zorder=10)
+        self.segs = list()
         self.contour = LineCollection([], zorder=1)
         self.ax.add_collection(self.contour)
 
@@ -90,7 +92,6 @@ def show(self, infinity_loop=False):
         loop = True
         t0, t1 = self.period
         while loop:
-            self.segs = list()
             self.now = t0
             while True:
                 dt = self.sleep_event
@@ -119,13 +120,17 @@ def prev(self):
         self.now -= 1
         return self.draw_contour()
 
-    def draw_contour(self):
-        # t0, t1 = self.period
-        # select contour for this time step
+    def func_animation(self, frame):
         while self.mappables:
             self.mappables.pop().remove()
+        self.now = frame
+        self.update()
+        artists = [self.contour, self.txt]
+        artists.extend(self.mappables)
+        return artists
+
+    def update(self):
         m = self.t == self.now
-        self.ax.figure.canvas.restore_region(self.bg_cache)
         if m.sum():
             self.segs.append(
                 create_vertice(
@@ -137,7 +142,10 @@ def draw_contour(self):
         self.contour.set_paths(self.segs)
         self.contour.set_color(self.colors[-len(self.segs) :])
         self.contour.set_lw(arange(len(self.segs)) / len(self.segs) * 2.5)
-        self.txt.set_text(f"{self.now} - {1/self.sleep_event:.0f} frame/s")
+        txt = f"{self.now}"
+        if self.graphic_informations:
+            txt += f"- {1/self.sleep_event:.0f} frame/s"
+        self.txt.set_text(txt)
         for i in where(m)[0]:
             mappable = self.ax.text(
                 self.x_core[i], self.y_core[i], self.track[i], fontsize=8
@@ -149,6 +157,14 @@ def draw_contour(self):
         # Remove first segment to keep only T contour
         if len(self.segs) > self.nb_step:
             self.segs.pop(0)
+
+    def draw_contour(self):
+        # t0, t1 = self.period
+        # select contour for this time step
+        while self.mappables:
+            self.mappables.pop().remove()
+        self.ax.figure.canvas.restore_region(self.bg_cache)
+        self.update()
         # paint updated artist
         self.ax.figure.canvas.blit(self.ax.bbox)
 

From 9d135a59981fc1bba5c3eb395edf7c9908a2bc91 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 13 Oct 2020 14:01:09 +0200
Subject: [PATCH 140/441] Use sphinx-autosummary to build api doc

---
 doc/.templates/custom-class-template.rst      | 33 ++++++++++
 doc/.templates/custom-module-template.rst     | 66 +++++++++++++++++++
 doc/api.rst                                   | 21 ++++++
 doc/autodoc/eddy_feature.rst                  |  8 ---
 doc/autodoc/featured_tracking.rst             |  7 --
 doc/autodoc/generic.rst                       |  7 --
 doc/autodoc/grid.rst                          |  8 ---
 doc/autodoc/observations.rst                  | 13 ----
 doc/autodoc/poly.rst                          |  8 ---
 doc/autodoc/tracking.rst                      |  8 ---
 doc/conf.py                                   |  4 ++
 doc/index.rst                                 | 14 ++--
 src/py_eddy_tracker/__init__.py               |  5 +-
 src/py_eddy_tracker/appli/eddies.py           | 20 +-----
 src/py_eddy_tracker/appli/grid.py             | 20 +-----
 src/py_eddy_tracker/appli/gui.py              | 21 +-----
 src/py_eddy_tracker/appli/misc.py             | 20 +-----
 src/py_eddy_tracker/appli/network.py          | 20 +-----
 src/py_eddy_tracker/eddy_feature.py           | 19 +-----
 src/py_eddy_tracker/generic.py                | 19 +-----
 src/py_eddy_tracker/gui.py                    | 20 +-----
 src/py_eddy_tracker/observations/network.py   | 27 +-------
 .../observations/observation.py               | 26 +-------
 src/py_eddy_tracker/observations/tracking.py  | 38 ++++-------
 src/py_eddy_tracker/poly.py                   | 19 +-----
 src/py_eddy_tracker/tracking.py               | 19 +-----
 26 files changed, 155 insertions(+), 335 deletions(-)
 create mode 100644 doc/.templates/custom-class-template.rst
 create mode 100644 doc/.templates/custom-module-template.rst
 create mode 100644 doc/api.rst
 delete mode 100644 doc/autodoc/eddy_feature.rst
 delete mode 100644 doc/autodoc/featured_tracking.rst
 delete mode 100644 doc/autodoc/generic.rst
 delete mode 100644 doc/autodoc/grid.rst
 delete mode 100644 doc/autodoc/observations.rst
 delete mode 100644 doc/autodoc/poly.rst
 delete mode 100644 doc/autodoc/tracking.rst

diff --git a/doc/.templates/custom-class-template.rst b/doc/.templates/custom-class-template.rst
new file mode 100644
index 00000000..77b39f41
--- /dev/null
+++ b/doc/.templates/custom-class-template.rst
@@ -0,0 +1,33 @@
+{{ fullname | escape | underline}}
+
+.. currentmodule:: {{ module }}
+
+.. autoclass:: {{ objname }}
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+   {% block methods %}
+   {% if methods %}
+   .. rubric:: {{ _('Methods') }}
+
+   .. autosummary::
+      :nosignatures:
+   {% for item in methods %}
+      {%- if not item.startswith('_') %}
+      ~{{ name }}.{{ item }}
+      {%- endif -%}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
+
+   {% block attributes %}
+   {% if attributes %}
+   .. rubric:: {{ _('Attributes') }}
+
+   .. autosummary::
+   {% for item in attributes %}
+      ~{{ name }}.{{ item }}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
diff --git a/doc/.templates/custom-module-template.rst b/doc/.templates/custom-module-template.rst
new file mode 100644
index 00000000..d066d0e4
--- /dev/null
+++ b/doc/.templates/custom-module-template.rst
@@ -0,0 +1,66 @@
+{{ fullname | escape | underline}}
+
+.. automodule:: {{ fullname }}
+
+   {% block attributes %}
+   {% if attributes %}
+   .. rubric:: Module attributes
+
+   .. autosummary::
+      :toctree:
+   {% for item in attributes %}
+      {{ item }}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
+
+   {% block functions %}
+   {% if functions %}
+   .. rubric:: {{ _('Functions') }}
+
+   .. autosummary::
+      :toctree:
+      :nosignatures:
+   {% for item in functions %}
+      {{ item }}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
+
+   {% block classes %}
+   {% if classes %}
+   .. rubric:: {{ _('Classes') }}
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+      :nosignatures:
+   {% for item in classes %}
+      {{ item }}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
+
+   {% block exceptions %}
+   {% if exceptions %}
+   .. rubric:: {{ _('Exceptions') }}
+
+   .. autosummary::
+      :toctree:
+   {% for item in exceptions %}
+      {{ item }}
+   {%- endfor %}
+   {% endif %}
+   {% endblock %}
+
+{% block modules %}
+{% if modules %}
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+{% for item in modules %}
+   {{ item }}
+{%- endfor %}
+{% endif %}
+{% endblock %}
diff --git a/doc/api.rst b/doc/api.rst
new file mode 100644
index 00000000..66ad3b45
--- /dev/null
+++ b/doc/api.rst
@@ -0,0 +1,21 @@
+===
+API
+===
+
+
+.. autosummary::
+   :toctree: _autosummary
+   :template: custom-module-template.rst
+   :recursive:
+
+   py_eddy_tracker.appli
+   py_eddy_tracker.dataset.grid
+   py_eddy_tracker.featured_tracking
+   py_eddy_tracker.observations.network
+   py_eddy_tracker.observations.observation
+   py_eddy_tracker.observations.tracking
+   py_eddy_tracker.eddy_feature
+   py_eddy_tracker.generic
+   py_eddy_tracker.gui
+   py_eddy_tracker.poly
+   py_eddy_tracker.tracking
diff --git a/doc/autodoc/eddy_feature.rst b/doc/autodoc/eddy_feature.rst
deleted file mode 100644
index dec7ef87..00000000
--- a/doc/autodoc/eddy_feature.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-Eddy Features
-=============
-
-.. automodule:: py_eddy_tracker.eddy_feature
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/autodoc/featured_tracking.rst b/doc/autodoc/featured_tracking.rst
deleted file mode 100644
index 70a9a577..00000000
--- a/doc/autodoc/featured_tracking.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-Featured tracking
-=================
-
-.. automodule:: py_eddy_tracker.featured_tracking.old_tracker_reference
-    :members:
-    :undoc-members:
-    :show-inheritance:
diff --git a/doc/autodoc/generic.rst b/doc/autodoc/generic.rst
deleted file mode 100644
index 39b1edf4..00000000
--- a/doc/autodoc/generic.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-Generic function
-================
-
-.. automodule:: py_eddy_tracker.generic
-    :members:
-    :undoc-members:
-    :show-inheritance:
diff --git a/doc/autodoc/grid.rst b/doc/autodoc/grid.rst
deleted file mode 100644
index e915edf3..00000000
--- a/doc/autodoc/grid.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-Grid
-====
-
-.. automodule:: py_eddy_tracker.dataset.grid
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/autodoc/observations.rst b/doc/autodoc/observations.rst
deleted file mode 100644
index 9b54f3a3..00000000
--- a/doc/autodoc/observations.rst
+++ /dev/null
@@ -1,13 +0,0 @@
-Observations
-============
-
-.. automodule:: py_eddy_tracker.observations.observation
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-.. automodule:: py_eddy_tracker.observations.tracking
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/autodoc/poly.rst b/doc/autodoc/poly.rst
deleted file mode 100644
index fa6d5964..00000000
--- a/doc/autodoc/poly.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-Polygon function
-================
-
-.. automodule:: py_eddy_tracker.poly
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/autodoc/tracking.rst b/doc/autodoc/tracking.rst
deleted file mode 100644
index 1bc46605..00000000
--- a/doc/autodoc/tracking.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-Correspondances
-===============
-
-.. automodule:: py_eddy_tracker.tracking
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
diff --git a/doc/conf.py b/doc/conf.py
index 31db3125..0a636ae6 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -33,6 +33,7 @@
 extensions = [
     "sphinx.ext.autodoc",
     "sphinx.ext.doctest",
+    "sphinx.ext.autosummary",
     "sphinx.ext.intersphinx",
     "sphinx.ext.viewcode",
     "sphinx_gallery.gen_gallery",
@@ -79,6 +80,9 @@
 # matplotlib conf
 plot_include_source = True
 
+# Active autosummary
+autosummary_generate = True
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = [".templates"]
 
diff --git a/doc/index.rst b/doc/index.rst
index cc06abfd..0a0dda73 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -35,16 +35,10 @@ Welcome to py-eddy-tracker's documentation!
    custom_tracking
 
 .. toctree::
-   :maxdepth: 2
-   :caption: code
-
-   autodoc/grid
-   autodoc/observations
-   autodoc/eddy_feature
-   autodoc/featured_tracking
-   autodoc/tracking
-   autodoc/poly
-   autodoc/generic
+   :maxdepth: 1
+   :caption: Code
+
+   api
    Source (Git) <https://github.com/AntSimi/py-eddy-tracker>
 
 
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index fa366448..04324267 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
 This file is part of py-eddy-tracker.
 
     py-eddy-tracker is free software: you can redistribute it and/or modify
@@ -16,9 +15,9 @@
     You should have received a copy of the GNU General Public License
     along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
 
-Copyright (c) 2014-2020 by Evan Mason
+Copyright (c) 2014-2020 by Evan Mason and Antoine Delepoulle
 Email: evanmason@gmail.com
-===========================================================================
+
 """
 
 from argparse import ArgumentParser
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 8f518336..441aa09f 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Applications on detection and tracking files
 """
 import argparse
 from netCDF4 import Dataset
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 4223a236..15a16c94 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+All entry point to manipulate grid
 """
 from datetime import datetime
 from .. import EddyParser
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 5dac9024..a944ecc6 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Entry point of graphic user interface
 """
 
 from numpy import arange, empty, where
@@ -159,7 +141,6 @@ def update(self):
             self.segs.pop(0)
 
     def draw_contour(self):
-        # t0, t1 = self.period
         # select contour for this time step
         while self.mappables:
             self.mappables.pop().remove()
diff --git a/src/py_eddy_tracker/appli/misc.py b/src/py_eddy_tracker/appli/misc.py
index f3a292ba..4e131d3d 100644
--- a/src/py_eddy_tracker/appli/misc.py
+++ b/src/py_eddy_tracker/appli/misc.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Entry point with no direct link with eddies
 """
 import argparse
 import zarr
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 191fc65d..0c6e41f1 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Entry point to create and manipulate observations network
 """
 
 import logging
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 843c47ff..f039b097 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -1,23 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Class to compute Amplitude and average speed profile
 """
 
 import logging
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 5ddf28f4..e82c1e21 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -1,23 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Tool method which use mostly numba
 """
 
 from numpy import (
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 22eb170f..a9811e63 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -1,24 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+GUI class
 """
 
 import numpy as np
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 96009220..7374d017 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1,31 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-===========================================================================
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2017 by Evan Mason and Antoine Delepoulle
-Email: emason@imedea.uib-csic.es
-===========================================================================
-
-tracking.py
-
-Version 3.0.0
-
-===========================================================================
-
+Class to create network of observations
 """
 import logging
 from glob import glob
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7b7f1e4e..41671fbd 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1,30 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2017 by Evan Mason and Antoine Delepoulle
-Email: emason@imedea.uib-csic.es
-===========================================================================
-
-observation.py
-
-Version 3.0.0
-
-===========================================================================
-
+Base class to manage eddy observation
 """
 import logging
 import zarr
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 61eeaffa..99c950e8 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -1,30 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2017 by Evan Mason and Antoine Delepoulle
-Email: emason@imedea.uib-csic.es
-===========================================================================
-
-tracking.py
-
-Version 3.0.0
-
-===========================================================================
-
+Class to manage observations gathered in track
 """
 import logging
 from numpy import (
@@ -260,6 +236,18 @@ def extract_with_period(self, period, **kwargs):
             mask *= self.time <= (dataset_period[1] + p_max)
         return self.extract_with_mask(mask, **kwargs)
 
+    def get_azimuth(self):
+        """
+        Return azimuth for each tracks.
+
+        Azimuth is compute with first and last observation
+
+        :rtype: array
+        """
+        i0 = self.index_from_track
+        i1 = i0 - 1 + self.nb_obs_by_track
+        lat0, lon0 = self.latitude[i0], self.longitude[i0]
+        lat1, lon1 = self.latitude[i1], self.longitude[i1]
 
     def get_mask_from_id(self, tracks):
         mask = zeros(self.tracks.shape, dtype=bool_)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 4a539e85..e9fe3c67 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -1,23 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Method for polygon
 """
 
 from numpy import empty, where, array, ones, pi, concatenate
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index a1cd0bcc..dfc104a5 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -1,23 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-This file is part of py-eddy-tracker.
-
-    py-eddy-tracker is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    py-eddy-tracker is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with py-eddy-tracker.  If not, see <http://www.gnu.org/licenses/>.
-
-Copyright (c) 2014-2020 by Evan Mason
-Email: evanmason@gmail.com
-===========================================================================
+Class to store link between observations
 """
 
 from datetime import timedelta, datetime

From c1a5bbb79b73fcbd72dd0ef20afc854974e0611e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 13 Oct 2020 14:22:03 +0200
Subject: [PATCH 141/441] Change example title

---
 doc/api.rst                                                 | 6 +++---
 .../pet_track_anim_matplotlib_animation.py                  | 4 ++--
 examples/10_tracking_diagnostics/pet_center_count.py        | 2 +-
 examples/10_tracking_diagnostics/pet_pixel_used.py          | 2 +-
 .../pet_track_anim_matplotlib_animation.ipynb               | 4 ++--
 .../10_tracking_diagnostics/pet_center_count.ipynb          | 2 +-
 .../10_tracking_diagnostics/pet_pixel_used.ipynb            | 2 +-
 7 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/doc/api.rst b/doc/api.rst
index 66ad3b45..c463c7d0 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -1,6 +1,6 @@
-===
-API
-===
+=============
+API reference
+=============
 
 
 .. autosummary::
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 7d490b00..f64c3af3 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -1,6 +1,6 @@
 """
-Track animation
-===============
+Track animation with standard matplotlib
+========================================
 
 Run in a terminal this script, which allow to watch eddy evolution
 
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 4f26e5d7..3b2a4c81 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -19,7 +19,7 @@
 
 # Parameters
 t0, t1 = a.period
-step = 0.1
+step = 0.125
 bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(
     cmap="terrain_r", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name="count"
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index f08c41e4..53c9bb3e 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -17,7 +17,7 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 t0, t1 = a.period
-step = 0.1
+step = 0.125
 bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(
     cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name="count"
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 9b36141a..89ae1e7f 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Track animation\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+        "\n# Track animation with standard matplotlib\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=6)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\nkwargs = dict(frames=arange(*a.period), interval=50)\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)\n\nani = FuncAnimation(a.fig, a.func_animation, **kwargs)"
+        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=6)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\n# kwargs = dict(frames=arange(*a.period), interval=50)\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)\n\nani = FuncAnimation(a.fig, a.func_animation, **kwargs)"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 317f023e..1d130b23 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Parameters\nt0, t1 = a.period\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Parameters\nt0, t1 = a.period\nstep = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index d2372057..dfeebc67 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\nstep = 0.1\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\nstep = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)"
       ]
     },
     {

From 4ec8b6075af4102be61c4c97c7e1f856236de9d0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 13 Oct 2020 14:40:04 +0200
Subject: [PATCH 142/441] Template modifications to avoid jinja exception

---
 doc/.templates/custom-class-template.rst  | 4 ++--
 doc/.templates/custom-module-template.rst | 6 +++---
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/doc/.templates/custom-class-template.rst b/doc/.templates/custom-class-template.rst
index 77b39f41..ad7dfcb5 100644
--- a/doc/.templates/custom-class-template.rst
+++ b/doc/.templates/custom-class-template.rst
@@ -9,7 +9,7 @@
 
    {% block methods %}
    {% if methods %}
-   .. rubric:: {{ _('Methods') }}
+   .. rubric:: Methods
 
    .. autosummary::
       :nosignatures:
@@ -23,7 +23,7 @@
 
    {% block attributes %}
    {% if attributes %}
-   .. rubric:: {{ _('Attributes') }}
+   .. rubric:: Attributes
 
    .. autosummary::
    {% for item in attributes %}
diff --git a/doc/.templates/custom-module-template.rst b/doc/.templates/custom-module-template.rst
index d066d0e4..b8786a2d 100644
--- a/doc/.templates/custom-module-template.rst
+++ b/doc/.templates/custom-module-template.rst
@@ -16,7 +16,7 @@
 
    {% block functions %}
    {% if functions %}
-   .. rubric:: {{ _('Functions') }}
+   .. rubric:: Functions
 
    .. autosummary::
       :toctree:
@@ -29,7 +29,7 @@
 
    {% block classes %}
    {% if classes %}
-   .. rubric:: {{ _('Classes') }}
+   .. rubric:: Classes
 
    .. autosummary::
       :toctree:
@@ -43,7 +43,7 @@
 
    {% block exceptions %}
    {% if exceptions %}
-   .. rubric:: {{ _('Exceptions') }}
+   .. rubric:: Exceptions
 
    .. autosummary::
       :toctree:

From e7672381b39c32de30a7d2c3c22a30969c8c31e9 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 13 Oct 2020 15:10:19 +0200
Subject: [PATCH 143/441] force sphinx version

---
 requirements.txt                                | 2 +-
 requirements_doc.txt                            | 3 ++-
 src/py_eddy_tracker/observations/observation.py | 2 +-
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 7a56aea4..eae54426 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,5 +9,5 @@ pyyaml
 requests
 scipy
 zarr
-# for binder an documentation
+# for binder
 pyeddytrackersample
\ No newline at end of file
diff --git a/requirements_doc.txt b/requirements_doc.txt
index 2c5e63c8..6a4a2937 100644
--- a/requirements_doc.txt
+++ b/requirements_doc.txt
@@ -11,4 +11,5 @@ zarr
 # doc
 sphinx-gallery
 pyeddytrackersample
-sphinx_rtd_theme
\ No newline at end of file
+sphinx_rtd_theme
+sphinx>=3.1
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 41671fbd..306b3f5e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1754,7 +1754,7 @@ def grid_count_(grid, i, j):
 @njit(cache=True)
 def insidepoly(x_p, y_p, x_c, y_c):
     """
-    True for each postion inside an contour
+    True for each postion inside a contour
 
     :param array x_p: longitude to test
     :param array y_p: latitude to test

From 44dfb00d16623b895012e88efc995ba67988b338 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 14 Oct 2020 10:45:11 +0200
Subject: [PATCH 144/441] Add method to get convex hull from a concave polygon

---
 setup.py                                      |  1 +
 .../observations/observation.py               | 18 +++-
 src/py_eddy_tracker/poly.py                   | 97 ++++++++++++++++++-
 tests/test_poly.py                            | 14 ++-
 4 files changed, 124 insertions(+), 6 deletions(-)

diff --git a/setup.py b/setup.py
index 855e648c..d3f5d1bd 100644
--- a/setup.py
+++ b/setup.py
@@ -9,6 +9,7 @@
 
 setup(
     name="pyEddyTracker",
+    python_requires=">=3.7",
     version=versioneer.get_version(),
     cmdclass=versioneer.get_cmdclass(),
     description="Py-Eddy-Tracker libraries",
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 306b3f5e..eec8f78b 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -58,6 +58,7 @@
     close_center,
     get_pixel_in_regular,
     winding_number_poly,
+    convexs,
 )
 
 logger = logging.getLogger("pet")
@@ -101,9 +102,7 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
 
 class EddiesObservations(object):
     """
-    Class to hold eddy properties *amplitude* and counts of
-    *local maxima/minima* within a closed region of a sea level anomaly field.
-
+    Class to store eddy observations.
     """
 
     __slots__ = (
@@ -1606,6 +1605,17 @@ def last_obs(self):
         m[:-1][self["n"][1:] == 0] = True
         return self.extract_with_mask(m)
 
+    def is_convex(self, intern=False):
+        """
+        Get flag of eddy convexity
+
+        :param bool intern: If true use speed contour instead of effective contour
+        :return: true if contour is convex
+        :rtype: array[bool]
+        """
+        xname, yname = self.intern(intern)
+        return convexs(self[xname], self[yname])
+
     def inside(self, x, y, intern=False):
         """
         True for each postion inside an eddy
@@ -1769,9 +1779,9 @@ def insidepoly(x_p, y_p, x_c, y_c):
         x_c_max, y_c_max = x_c[i].max(), y_c[i].max()
         v = create_vertice(x_c[i], y_c[i])
         for j in range(nb_p):
-            x, y = x_p[j], y_p[j]
             if flag[j]:
                 continue
+            x, y = x_p[j], y_p[j]
             if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
                 if winding_number_poly(x, y, v) != 0:
                     flag[j] = True
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index e9fe3c67..de756a0a 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -88,6 +88,101 @@ def poly_area(x, y):
     return abs(p_area) * 0.5
 
 
+@njit(cache=True)
+def convexs(x, y):
+    """
+    Check if polygons are convex
+
+    :param array[float] x:
+    :param array[float] y:
+    :return: True if convex
+    :rtype: array[bool]
+    """
+    nb_poly = x.shape[0]
+    flag = empty(nb_poly, dtype=numba_types.bool_)
+    for i in range(nb_poly):
+        flag[i] = convex(x[i], y[i])
+    return flag
+
+
+@njit(cache=True)
+def convex(x, y):
+    """
+    Check if polygon is convex
+
+    :param array[float] x:
+    :param array[float] y:
+    :return: True if convex
+    :rtype: bool
+    """
+    nb = x.shape[0]
+    x0, y0, x1, y1, x2, y2 = x[-2], y[-2], x[-1], y[-1], x[1], y[1]
+    # if first is left it must be always left if it's right it must be always right
+    ref = is_left(x0, y0, x1, y1, x2, y2)
+    # We skip 0 because it's same than -1
+    # We skip 1 because we tested previously
+    for i in range(2, nb):
+        # shift position
+        x0, y0, x1, y1 = x1, y1, x2, y2
+        x2, y2 = x[i], y[i]
+        # test
+        if ref != is_left(x0, y0, x1, y1, x2, y2):
+            return False
+    return True
+
+
+@njit(cache=True)
+def get_convex_hull(x, y):
+    """
+    Get convex polygon which enclosed current polygon
+
+    Work only if contour is describe anti-clockwise
+
+    :param array[float] x:
+    :param array[float] y:
+    :return: a convex polygon
+    :rtype: array,array
+    """
+    nb = x.shape[0] - 1
+    indices = list()
+    # leftmost point
+    i_first = x[:-1].argmin()
+    indices.append(i_first)
+    i_next = (i_first + 1) % nb
+    # Will define bounds line
+    x0, y0, x1, y1 = x[i_first], y[i_first], x[i_next], y[i_next]
+    xf, yf = x0, y0
+    # we will check if no point are right
+    while True:
+        i_test = (i_next + 1) % nb
+        # value to test
+        xt, yt = x[i_test], y[i_test]
+        # We will test all the position until we touch first one,
+        # If all next position are on the left we keep x1, y1
+        # if not we will replace by xt,yt which are more outter
+        while is_left(x0, y0, x1, y1, xt, yt):
+            i_test += 1
+            i_test %= nb
+            if i_test == i_first:
+                x0, y0 = x1, y1
+                indices.append(i_next)
+                i_next += 1
+                i_next %= nb
+                x1, y1 = x[i_next], y[i_next]
+                break
+            xt, yt = x[i_test], y[i_test]
+        if i_test != i_first:
+            i_next = i_test
+            x1, y1 = x[i_next], y[i_next]
+        if i_next == (i_first - 1) % nb:
+            if is_left(x0, y0, x1, y1, xf, yf):
+                indices.append(i_next)
+            break
+    indices.append(i_first)
+    indices = array(indices)
+    return x[indices], y[indices]
+
+
 @njit(cache=True)
 def winding_number_poly(x, y, xy_poly):
     """
@@ -155,7 +250,7 @@ def winding_number_grid_in_poly(x_1d, y_1d, i_x0, i_x1, x_size, i_y0, xy_poly):
 
 
 @njit(cache=True, fastmath=True)
-def close_center(x0, y0, x1, y1, delta=.1):
+def close_center(x0, y0, x1, y1, delta=0.1):
     """
     Compute an overlap with circle parameter and return a percentage
 
diff --git a/tests/test_poly.py b/tests/test_poly.py
index 9d9104da..2f4d963a 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -1,9 +1,10 @@
-from py_eddy_tracker.poly import poly_area_vertice, fit_circle
+from py_eddy_tracker.poly import poly_area_vertice, fit_circle, convex, get_convex_hull
 from numpy import array, pi
 from pytest import approx
 
 # Vertices for next test
 V = array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)))
+V_concave = array(((2, 2, 2.5, 3, 3, 2), (-10, -9, -9.5, -9, -10, -10)))
 
 
 def test_poly_area():
@@ -16,3 +17,14 @@ def test_fit_circle():
     assert y0 == approx(-9.5, rel=1e-10)
     assert r == approx(2 ** 0.5 / 2, rel=1e-10)
     assert err == approx((1 - 2 / pi) * 100, rel=1e-10)
+
+
+def test_convex():
+    assert convex(*V) is True
+    assert convex(*V[::-1]) is True
+    assert convex(*V_concave) is False
+    assert convex(*V_concave[::-1]) is False
+
+
+def test_convex_hull():
+    assert convex(*get_convex_hull(*V_concave)) is True

From 24520cd5d3132712290535389abd9a442168f615 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 20 Oct 2020 09:17:51 +0200
Subject: [PATCH 145/441] Add options for eddy detection

---
 src/py_eddy_tracker/dataset/grid.py | 29 +++++++++++++----------------
 src/py_eddy_tracker/eddy_feature.py | 22 ++++++++++++++++++----
 2 files changed, 31 insertions(+), 20 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index e87ba747..e9452eab 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -475,6 +475,13 @@ def add_grid(self, varname, grid):
 
     def grid(self, varname, indexs=None):
         """give grid required
+
+        :param str varname: Variable to get
+        :param dict,None indexs: If defined dict must have dimensions name like key
+        :return: array asked reduce with indexs
+        :rtype: array
+
+        .. minigallery:: py_eddy_tracker.GridDataset.grid
         """
         if indexs is None:
             indexs = dict()
@@ -578,7 +585,7 @@ def eddy_identification(
         precision=None,
         force_height_unit=None,
         force_speed_unit=None,
-        mle=1,
+        **kwargs,
     ):
         """
         Compute eddy identification on specified grid
@@ -595,6 +602,7 @@ def eddy_identification(
         :param float,None precision: Truncate value at the defined precision in m
         :param str force_height_unit: Unit to used for height unit
         :param str force_speed_unit: Unit to used for speed unit
+        :param dict kwargs: Argument give to amplitude
 
         :return: Return a list of 2 elements: Anticyclone and Cyclone
         :rtype: py_eddy_tracker.observations.observation.EddiesObservations
@@ -744,8 +752,8 @@ def eddy_identification(
                         data,
                         anticyclonic_search=anticyclonic_search,
                         level=self.contours.levels[corrected_coll_index],
-                        step=step,
-                        mle=mle,
+                        interval=step,
+                        **kwargs,
                     )
                     # If we have a valid amplitude
                     if (not amp.within_amplitude_limits()) or (amp.amplitude == 0):
@@ -974,13 +982,7 @@ def _gaussian_filter(data, sigma, mode="reflect"):
 
     @staticmethod
     def get_amplitude(
-        contour,
-        contour_height,
-        data,
-        anticyclonic_search=True,
-        level=None,
-        step=None,
-        mle=1,
+        contour, contour_height, data, anticyclonic_search=True, level=None, **kwargs
     ):
         # Instantiate Amplitude object
         amp = Amplitude(
@@ -990,17 +992,12 @@ def get_amplitude(
             contour_height=contour_height,
             # All grid
             data=data,
-            # Step by level
-            interval=step,
-            # Set number max of local maxima
-            mle=mle,
+            **kwargs,
         )
-
         if anticyclonic_search:
             reset_centroid = amp.all_pixels_above_h0(level)
         else:
             reset_centroid = amp.all_pixels_below_h0(level)
-
         return reset_centroid, amp
 
 
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index f039b097..5b22b010 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -40,15 +40,29 @@ class Amplitude(object):
         "sla",
         "contour",
         "interval_min",
+        "interval_min_secondary",
         "amplitude",
         "mle",
     )
 
-    def __init__(self, contour, contour_height, data, interval, mle=1):
+    def __init__(self, contour, contour_height, data, interval, mle=1, nb_step_min=2, nb_step_to_be_mle=2):
+        """
+        Create amplitude object
+
+        :param Contours contour:
+        :param float contour_height:
+        :param array data:
+        :param float interval:
+        :param int mle: maximum number of local maxima in contour
+        :param int nb_step_min: number of interval to consider like an eddy
+        :param int nb_step_to_be_mle: number of interval to be consider like another maxima
+        """
+
         # Height of the contour
         self.h_0 = contour_height
         # Step minimal to consider amplitude
-        self.interval_min = interval * 2
+        self.interval_min = interval * nb_step_min
+        self.interval_min_secondary = interval * nb_step_to_be_mle
         # Indices of all pixels in contour
         self.contour = contour
         # Link on original grid (local view) or copy if it's on bound
@@ -118,7 +132,7 @@ def all_pixels_below_h0(self, level):
             else:
                 # Verify if several extrema are seriously below contour
                 nb_real_extrema = (
-                    (level - self.grid_extract.data[lmi_i, lmi_j]) >= self.interval_min
+                    (level - self.grid_extract.data[lmi_i, lmi_j]) >= self.interval_min_secondary
                 ).sum()
                 if nb_real_extrema > self.mle:
                     return False
@@ -160,7 +174,7 @@ def all_pixels_above_h0(self, level):
             else:
                 # Verify if several extrema are seriously above contour
                 nb_real_extrema = (
-                    (self.grid_extract.data[lmi_i, lmi_j] - level) >= self.interval_min
+                    (self.grid_extract.data[lmi_i, lmi_j] - level) >= self.interval_min_secondary
                 ).sum()
                 if nb_real_extrema > self.mle:
                     return False

From e94012a29225a7f7d62348c3f2bd9cab72e7c205 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 20 Oct 2020 09:18:48 +0200
Subject: [PATCH 146/441] Save cost association

---
 src/py_eddy_tracker/tracking.py | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index dfc104a5..076f04d2 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -616,7 +616,7 @@ def merge(self, until=-1, raw_data=True):
         # Set type of eddy with first file
         eddies.sign_type = self.current_obs.sign_type
         # Fields to copy
-        fields = self.current_obs.obs.dtype.descr
+        fields = self.current_obs.obs.dtype.names
 
         # To know if the track start
         first_obs_save_in_tracks = zeros(self.i_current_by_tracks.shape, dtype=bool_)
@@ -639,10 +639,9 @@ def merge(self, until=-1, raw_data=True):
                 index_in = self[i]["in"][m_first_obs]
                 # Copy all variable
                 for field in fields:
-                    var = field[0]
-                    if var == "cost_association":
+                    if field == "cost_association":
                         continue
-                    eddies[var][index_final[m_first_obs]] = self.previous_obs[var][
+                    eddies[field][index_final[m_first_obs]] = self.previous_obs[field][
                         index_in
                     ]
                 # Increment
@@ -666,13 +665,11 @@ def merge(self, until=-1, raw_data=True):
             # Index in the current file
             index_current = self[i]["out"]
 
+            if "cost_association" in eddies.obs.dtype.names:
+                eddies["cost_association"][index_final - 1] = self[i]["cost_value"]
             # Copy all variable
             for field in fields:
-                var = field[0]
-                if var == "cost_association":
-                    eddies[var][index_final - 1] = self[i]["cost_value"]
-                else:
-                    eddies[var][index_final] = self.current_obs[var][index_current]
+                eddies[field][index_final] = self.current_obs[field][index_current]
 
             # Add increment for each index used
             self.i_current_by_tracks[i_id] += 1

From 16a7a671622b47e08a9f7534451845b193288155 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 20 Oct 2020 09:19:54 +0200
Subject: [PATCH 147/441] Add tool to : - Get azimuth track - Count event by
 track - Use array to compute stat

---
 .../observations/observation.py               | 25 ++++++++---
 src/py_eddy_tracker/observations/tracking.py  | 44 +++++++++++++++++--
 2 files changed, 60 insertions(+), 9 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index eec8f78b..e3d09160 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1532,20 +1532,26 @@ def filled(
         c.norm = Normalize(vmin=vmin, vmax=vmax)
         return c
 
-    def bins_stat(self, name, bins=None):
+    def bins_stat(self, xname, bins=None, yname=None, method=None):
         """
-        :param str name: var which will be use
+        :param str,array xname: var which will be use
         :param array, None bins: bins to perform statistics,if None method will get min and max of variable
+        :param None,str yname: var which will be use to apply method
+        :param None,str method: If None method count in each bin, could also do mean, std
         :return: x array and y array
         :rtype: array,array
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
         """
-        v = self[name]
+        v = self[xname] if isinstance(xname, str) else xname
         if bins is None:
             bins = arange(v.min(), v.max() + 2)
         y, x = hist_numba(v, bins=bins)
         x = (x[1:] + x[:-1]) / 2
+        if method == "mean":
+            y_v = self[yname]
+            y_, _ = histogram(v, bins=bins, weights=y_v)
+            y = y_ / y
         return x, y
 
     def display(
@@ -1679,12 +1685,13 @@ def grid_count(self, bins, intern=False, center=False):
             grid.mask = grid == 0
         return regular_grid
 
-    def grid_stat(self, bins, varname):
+    def grid_stat(self, bins, varname, data=None):
         """
         Compute mean of eddies in each bin
 
         :param (numpy.array,numpy.array) bins: bins to compute count
         :param str varname: name of variable to compute mean
+        :param array data: Array used to compute stat if defined
         :return: return grid of mean
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
@@ -1693,8 +1700,14 @@ def grid_stat(self, bins, varname):
         x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
         x0 = bins[0][0]
         x, y = (self.longitude - x0) % 360 + x0, self.latitude
-        sum_obs = histogram2d(x, y, (x_bins, y_bins), weights=self[varname])[0]
-        nb_obs = histogram2d(x, y, (x_bins, y_bins))[0]
+        data = self[varname] if data is None else data
+        if hasattr(data, 'mask'):
+            m = ~data.mask
+            sum_obs = histogram2d(x[m], y[m], (x_bins, y_bins), weights=data[m])[0]
+            nb_obs = histogram2d(x[m], y[m], (x_bins, y_bins))[0]
+        else:
+            sum_obs = histogram2d(x, y, (x_bins, y_bins), weights=data)[0]
+            nb_obs = histogram2d(x, y, (x_bins, y_bins))[0]
         from ..dataset.grid import RegularGridDataset
 
         regular_grid = RegularGridDataset.with_array(
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 99c950e8..c8de1f52 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -15,6 +15,12 @@
     array,
     median,
     histogram,
+    sin,
+    cos,
+    arctan2,
+    radians,
+    degrees,
+    tan,
 )
 from datetime import datetime, timedelta
 from numba import njit
@@ -236,18 +242,30 @@ def extract_with_period(self, period, **kwargs):
             mask *= self.time <= (dataset_period[1] + p_max)
         return self.extract_with_mask(mask, **kwargs)
 
-    def get_azimuth(self):
+    def get_azimuth(self, equatorward=False):
         """
         Return azimuth for each tracks.
 
         Azimuth is compute with first and last observation
 
+        :param bool equatorward: If True,  Poleward are positive and equatorward negative
         :rtype: array
         """
-        i0 = self.index_from_track
-        i1 = i0 - 1 + self.nb_obs_by_track
+        i0, nb = self.index_from_track, self.nb_obs_by_track
+        i0 = i0[nb != 0]
+        i1 = i0 - 1 + nb[nb != 0]
         lat0, lon0 = self.latitude[i0], self.longitude[i0]
         lat1, lon1 = self.latitude[i1], self.longitude[i1]
+        lat0, lon0 = radians(lat0), radians(lon0)
+        lat1, lon1 = radians(lat1), radians(lon1)
+        dlon = lon1 - lon0
+        x = cos(lat0) * sin(lat1) - sin(lat0) * cos(lat1) * cos(dlon)
+        y = sin(dlon) * cos(lat1)
+        azimuth = degrees(arctan2(y, x)) + 90
+        if equatorward:
+            south = lat0 < 0
+            azimuth[south] *= -1
+        return azimuth
 
     def get_mask_from_id(self, tracks):
         mask = zeros(self.tracks.shape, dtype=bool_)
@@ -269,6 +287,19 @@ def compute_index(self):
             compute_index(self.tracks, self.__first_index_of_track, self.__obs_by_track)
             logger.debug("... OK")
 
+    def count_by_track(self, mask):
+        """
+        Count by track
+
+        :param array[bool] mask: Mask of boolean count +1 if true
+        :return: Return count by track
+        :rtype: array
+        """
+        s = self.tracks.max() + 1
+        obs_by_track = zeros(s, "i4")
+        count_by_track(self.tracks, mask, obs_by_track)
+        return obs_by_track
+
     @property
     def index_from_track(self):
         self.compute_index()
@@ -599,6 +630,13 @@ def compute_index(tracks, index, number):
         previous_track = track
 
 
+@njit(cache=True)
+def count_by_track(tracks, mask, number):
+    for track, test in zip(tracks, mask):
+        if test:
+            number[track] += 1
+
+
 @njit(cache=True)
 def compute_mask_from_id(tracks, first_index, number_of_obs, mask):
     for track in tracks:

From 2b3200c2bd11d0da19a26bb5d1e57bb65cec1904 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 20 Oct 2020 10:50:08 +0200
Subject: [PATCH 148/441] Add method to apply a method on each box

---
 README.md                                     |   2 +-
 .../observations/observation.py               | 105 +++++++++++++++++-
 2 files changed, 105 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index ca3a0b26..4f466b7e 100644
--- a/README.md
+++ b/README.md
@@ -35,7 +35,7 @@ python setup.py install
 ### Tools gallery ###
 Several examples based on py eddy tracker module are [here](https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html).
 
-![](https://py-eddy-tracker.readthedocs.io/en/latest/_static/logo.png)
+[![](https://py-eddy-tracker.readthedocs.io/en/latest/_static/logo.png)](https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html)
 
 ### Quick use ###
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index e3d09160..5270d9da 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -27,6 +27,7 @@
     sin,
     histogram,
     digitize,
+    percentile,
 )
 from netCDF4 import Dataset
 from datetime import datetime
@@ -1685,6 +1686,51 @@ def grid_count(self, bins, intern=False, center=False):
             grid.mask = grid == 0
         return regular_grid
 
+    def grid_box_stat(self, bins, varname, method=50, data=None):
+        """
+            Compute mean of eddies in each bin
+
+            :param (numpy.array,numpy.array) bins: bins to compute count
+            :param str varname: name of variable to compute mean
+            :param str,float method: method to apply at each set
+            :param array data: Array used to compute stat if defined
+            :return: return grid of method
+            :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
+
+            .. minigallery:: py_eddy_tracker.EddiesObservations.grid_box_stat
+        """
+        x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
+        x0 = bins[0][0]
+        x, y = (self.longitude - x0) % 360 + x0, self.latitude
+        data = self[varname] if data is None else data
+        if hasattr(data, "mask"):
+            m = ~data.mask
+            x, y, data = x[m], y[m], data[m]
+
+        from ..dataset.grid import RegularGridDataset
+
+        shape = (x_bins.shape[0] - 1, y_bins.shape[0] - 1)
+        grid = ma.empty(shape, dtype=data.dtype)
+        grid.mask = ones(shape, dtype="bool")
+        regular_grid = RegularGridDataset.with_array(
+            coordinates=("x", "y"),
+            datas={varname: grid, "x": x_bins[:-1], "y": y_bins[:-1]},
+            centered=False,
+        )
+        grid_box_stat(
+            regular_grid.x_c,
+            regular_grid.y_c,
+            grid.data,
+            grid.mask,
+            x,
+            y,
+            data,
+            regular_grid.is_circular(),
+            method,
+        )
+
+        return regular_grid
+
     def grid_stat(self, bins, varname, data=None):
         """
         Compute mean of eddies in each bin
@@ -1701,7 +1747,7 @@ def grid_stat(self, bins, varname, data=None):
         x0 = bins[0][0]
         x, y = (self.longitude - x0) % 360 + x0, self.latitude
         data = self[varname] if data is None else data
-        if hasattr(data, 'mask'):
+        if hasattr(data, "mask"):
             m = ~data.mask
             sum_obs = histogram2d(x[m], y[m], (x_bins, y_bins), weights=data[m])[0]
             nb_obs = histogram2d(x[m], y[m], (x_bins, y_bins))[0]
@@ -1717,6 +1763,7 @@ def grid_stat(self, bins, varname, data=None):
                 "x": x_bins[:-1],
                 "y": y_bins[:-1],
             },
+            centered=False,
         )
         return regular_grid
 
@@ -1770,6 +1817,9 @@ def period(self):
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
+    """
+    Add one for each indice
+    """
     for i_, j_ in zip(i, j):
         grid[i_, j_] += 1
 
@@ -1801,6 +1851,59 @@ def insidepoly(x_p, y_p, x_c, y_c):
     return flag
 
 
+@njit(cache=True)
+def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
+    """
+    Compute method on each set (one set by box)
+
+    :param array_like x_c: longitude coordinate of grid
+    :param array_like y_c: latitude coordinate of grid
+    :param array_like grid: grid to store result of method
+    :param array[bool] mask: grid to store not used box
+    :param array_like x: longitude of positions
+    :param array_like y: latitude of positions
+    :param array_like value: value to group to apply method
+    :param bool circular: True if grid is wrappable
+    :param float method: percentile
+    """
+    xstep, ystep = x_c[1] - x_c[0], y_c[1] - y_c[0]
+    x0, y0 = x_c[0] - xstep / 2.0, y_c[0] - ystep / 2.0
+    nb_x = x_c.shape[0]
+    nb_y = y_c.shape[0]
+    i, j = (
+        ((x - x0) // xstep).astype(numba_types.int32),
+        ((y - y0) // ystep).astype(numba_types.int32),
+    )
+    if circular:
+        i %= nb_x
+    else:
+        if (i < 0).any():
+            raise Exception("x indices underflow")
+        if (i >= nb_x).any():
+            raise Exception("x indices overflow")
+        if (j < 0).any():
+            raise Exception("y indices underflow")
+        if (j >= nb_y).any():
+            raise Exception("y indices overflow")
+    abs_i = j * nb_x + i
+    k_sort = abs_i.argsort()
+    i0, j0 = i[k_sort[0]], j[k_sort[0]]
+    values = list()
+    for k in k_sort:
+        i_, j_ = i[k], j[k]
+        # group change
+        if i_ != i0 or j_ != j0:
+            # apply method and store result
+            grid[i_, j_] = percentile(values, method)
+            # grid[i_, j_] = len(values)
+            mask[i_, j_] = False
+            # start new group
+            i0, j0 = i_, j_
+            # reset list
+            values.clear()
+        values.append(value[k])
+
+
 @njit(cache=True)
 def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     """

From 310972a0ad7ab17c1c37b9a51d6cbae76805c413 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 23 Oct 2020 12:04:59 +0200
Subject: [PATCH 149/441] Add okubo weiss example

---
 doc/conf.py                                   |   2 -
 .../06_grid_manipulation/pet_okubo_weiss.py   | 155 +++++++++++++
 .../pet_okubo_weiss.ipynb                     | 209 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  10 +-
 src/py_eddy_tracker/generic.py                |  20 ++
 5 files changed, 390 insertions(+), 6 deletions(-)
 create mode 100644 examples/06_grid_manipulation/pet_okubo_weiss.py
 create mode 100644 notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb

diff --git a/doc/conf.py b/doc/conf.py
index 0a636ae6..add04862 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -59,8 +59,6 @@
     "doc_module": ("py_eddy_tracker",),
     "reference_url": {
         "py_eddy_tracker": None,
-        "matplotlib": "https://matplotlib.org/",
-        "numpy": "https://docs.scipy.org/doc/numpy/",
     },
     "line_numbers": False,
     "filename_pattern": "/pet",
diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
new file mode 100644
index 00000000..f1e389e5
--- /dev/null
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -0,0 +1,155 @@
+r"""
+Get Okubo Weis
+=====================
+
+.. math:: OW = S_n^2 + S_s^2 + \omega^2
+
+with normal strain (:math:`S_n`), shear strain (:math:`S_s`) and vorticity (:math:`\omega`)
+
+.. math::
+    S_n = \frac{\partial u}{\partial x} - \frac{\partial v}{\partial y},
+    S_s = \frac{\partial v}{\partial x} + \frac{\partial u}{\partial y},
+    \omega = \frac{\partial v}{\partial x} - \frac{\partial u}{\partial y}
+
+"""
+from matplotlib import pyplot as plt
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker import data
+from numpy import arange, ma, where
+
+
+# %%
+def start_axes(title, zoom=False):
+    fig = plt.figure(figsize=(12, 6))
+    axes = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    axes.set_xlim(0, 360), axes.set_ylim(-80, 80)
+    if zoom:
+        axes.set_xlim(270, 340), axes.set_ylim(20, 50)
+    axes.set_aspect("equal")
+    axes.set_title(title)
+    return axes
+
+
+def update_axes(axes, mappable=None):
+    axes.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=axes.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load detection files
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
+
+# %%
+# Load Input grid, ADT will be used to detect eddies
+g = RegularGridDataset(
+    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    "longitude",
+    "latitude",
+)
+
+ax = start_axes("ADT (cm)")
+m = g.display(ax, "adt", vmin=-120, vmax=120, factor=100)
+update_axes(ax, m)
+
+# %%
+# Get parameter for ow
+u_x = g.compute_stencil(g.grid("ugos"))
+u_y = g.compute_stencil(g.grid("ugos"), vertical=True)
+v_x = g.compute_stencil(g.grid("vgos"))
+v_y = g.compute_stencil(g.grid("vgos"), vertical=True)
+ow = g.vars["ow"] = (u_x - v_y) ** 2 + (v_x + u_y) ** 2 - (v_x - u_y) ** 2
+
+
+ax = start_axes("Okubo weis")
+m = g.display(ax, "ow", vmin=-1e-10, vmax=1e-10, cmap="bwr")
+update_axes(ax, m)
+
+# %%
+# Gulf stream zoom
+ax = start_axes("Okubo weis, Gulf stream", zoom=True)
+m = g.display(ax, "ow", vmin=-1e-10, vmax=1e-10, cmap="bwr")
+kw_ed = dict(intern_only=True, color="k", lw=1)
+a.display(ax, **kw_ed), c.display(ax, **kw_ed)
+update_axes(ax, m)
+
+# %%
+# only negative OW
+ax = start_axes("Okubo weis, Gulf stream", zoom=True)
+threshold = ow.std() * -0.2
+ow = ma.array(ow, mask=ow > threshold)
+m = g.display(ax, ow, vmin=-1e-10, vmax=1e-10, cmap="bwr")
+a.display(ax, **kw_ed), c.display(ax, **kw_ed)
+update_axes(ax, m)
+
+
+# %%
+# Get okubo-weiss mean/min/center in eddies
+plt.figure(figsize=(8, 6))
+ax = plt.subplot(111)
+ax.set_xlabel("Okubo-Weiss parameter")
+kw_hist = dict(bins=arange(-20e-10, 20e-10, 50e-12), histtype="step")
+for method in ("mean", "center", "min"):
+    kw_interp = dict(grid_object=g, varname="ow", method=method, intern=True)
+    _, _, m = ax.hist(
+        a.interp_grid(**kw_interp), label=f"Anticyclonic - OW {method}", **kw_hist
+    )
+    ax.hist(
+        c.interp_grid(**kw_interp),
+        label=f"Cyclonic - OW {method}",
+        color=m[0].get_edgecolor(),
+        ls="--",
+        **kw_hist,
+    )
+ax.axvline(threshold, color="r")
+ax.set_yscale("log")
+ax.grid()
+ax.set_ylim(1, 1e4)
+ax.set_xlim(-15e-10, 15e-10)
+ax.legend()
+
+# %%
+# Catch eddies with bad OW
+ax = start_axes("Eddies with a min OW in speed contour over threshold")
+ow_min = a.interp_grid(**kw_interp)
+a_bad_ow = a.index(where(ow_min > threshold)[0])
+a_bad_ow.display(ax, color="r", label="Anticyclonic")
+ow_min = c.interp_grid(**kw_interp)
+c_bad_ow = c.index(where(ow_min > threshold)[0])
+c_bad_ow.display(ax, color="b", label="Cyclonic")
+ax.legend()
+
+# %%
+# Display Radius and amplitude of eddies
+fig = plt.figure(figsize=(12, 5))
+fig.suptitle(
+    "Parameter distribution (solid line) and cumulative distribution (dashed line)"
+)
+ax_amp, ax_rad = fig.add_subplot(121), fig.add_subplot(122)
+ax_amp_c, ax_rad_c = ax_amp.twinx(), ax_rad.twinx()
+ax_amp_c.set_ylim(0, 1), ax_rad_c.set_ylim(0, 1)
+kw_a = dict(xname="amplitude", bins=arange(0, 2, 0.002).astype("f4"))
+kw_r = dict(xname="radius_s", bins=arange(0, 500e6, 2e3).astype("f4"))
+for d, label, color in (
+    (a, "Anticyclonic all", "r"),
+    (a_bad_ow, "Anticyclonic bad OW", "orange"),
+    (c, "Cyclonic all", "blue"),
+    (c_bad_ow, "Cyclonic bad OW", "lightblue"),
+):
+    x, y = d.bins_stat(**kw_a)
+    ax_amp.plot(x * 100, y, label=label, color=color)
+    ax_amp_c.plot(
+        x * 100, y.cumsum() / y.sum(), label=label, color=color, ls="-.", lw=0.5
+    )
+    x, y = d.bins_stat(**kw_r)
+    ax_rad.plot(x * 1e-3, y, label=label, color=color)
+    ax_rad_c.plot(
+        x * 1e-3, y.cumsum() / y.sum(), label=label, color=color, ls="-.", lw=0.5
+    )
+
+ax_amp.set_xlim(0, 12.5), ax_amp.grid(), ax_amp.set_ylim(0), ax_amp.legend()
+ax_rad.set_xlim(0, 120), ax_rad.grid(), ax_rad.set_ylim(0)
+ax_amp.set_xlabel("Amplitude (cm)"), ax_amp.set_ylabel("Nb eddies")
+ax_rad.set_xlabel("Speed radius (km)")
diff --git a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
new file mode 100644
index 00000000..1ae917cc
--- /dev/null
+++ b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
@@ -0,0 +1,209 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Get Okubo Weis\n\n\\begin{align}OW = S_n^2 + S_s^2 + \\omega^2\\end{align}\n\nwith normal strain ($S_n$), shear strain ($S_s$) and vorticity ($\\omega$)\n\n\\begin{align}S_n = \\frac{\\partial u}{\\partial x} - \\frac{\\partial v}{\\partial y},\n    S_s = \\frac{\\partial v}{\\partial x} + \\frac{\\partial u}{\\partial y},\n    \\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\nfrom numpy import arange, ma, where"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title, zoom=False):\n    fig = plt.figure(figsize=(12, 6))\n    axes = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    axes.set_xlim(0, 360), axes.set_ylim(-80, 80)\n    if zoom:\n        axes.set_xlim(270, 340), axes.set_ylim(20, 50)\n    axes.set_aspect(\"equal\")\n    axes.set_title(title)\n    return axes\n\n\ndef update_axes(axes, mappable=None):\n    axes.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=axes.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT will be used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\nax = start_axes(\"ADT (cm)\")\nm = g.display(ax, \"adt\", vmin=-120, vmax=120, factor=100)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get parameter for ow\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "u_x = g.compute_stencil(g.grid(\"ugos\"))\nu_y = g.compute_stencil(g.grid(\"ugos\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"vgos\"))\nv_y = g.compute_stencil(g.grid(\"vgos\"), vertical=True)\now = g.vars[\"ow\"] = (u_x - v_y) ** 2 + (v_x + u_y) ** 2 - (v_x - u_y) ** 2\n\n\nax = start_axes(\"Okubo weis\")\nm = g.display(ax, \"ow\", vmin=-1e-10, vmax=1e-10, cmap=\"bwr\")\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Gulf stream zoom\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Okubo weis, Gulf stream\", zoom=True)\nm = g.display(ax, \"ow\", vmin=-1e-10, vmax=1e-10, cmap=\"bwr\")\nkw_ed = dict(intern_only=True, color=\"k\", lw=1)\na.display(ax, **kw_ed), c.display(ax, **kw_ed)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "only negative OW\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Okubo weis, Gulf stream\", zoom=True)\nthreshold = ow.std() * -0.2\now = ma.array(ow, mask=ow > threshold)\nm = g.display(ax, ow, vmin=-1e-10, vmax=1e-10, cmap=\"bwr\")\na.display(ax, **kw_ed), c.display(ax, **kw_ed)\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get okubo-weiss mean/min/center in eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "plt.figure(figsize=(8, 6))\nax = plt.subplot(111)\nax.set_xlabel(\"Okubo-Weiss parameter\")\nkw_hist = dict(bins=arange(-20e-10, 20e-10, 50e-12), histtype=\"step\")\nfor method in (\"mean\", \"center\", \"min\"):\n    kw_interp = dict(grid_object=g, varname=\"ow\", method=method, intern=True)\n    _, _, m = ax.hist(\n        a.interp_grid(**kw_interp), label=f\"Anticyclonic - OW {method}\", **kw_hist\n    )\n    ax.hist(\n        c.interp_grid(**kw_interp),\n        label=f\"Cyclonic - OW {method}\",\n        color=m[0].get_edgecolor(),\n        ls=\"--\",\n        **kw_hist,\n    )\nax.axvline(threshold, color=\"r\")\nax.set_yscale(\"log\")\nax.grid()\nax.set_ylim(1, 1e4)\nax.set_xlim(-15e-10, 15e-10)\nax.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Catch eddies with bad OW\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"Eddies with a min OW in speed contour over threshold\")\now_min = a.interp_grid(**kw_interp)\na_bad_ow = a.index(where(ow_min > threshold)[0])\na_bad_ow.display(ax, color=\"r\", label=\"Anticyclonic\")\now_min = c.interp_grid(**kw_interp)\nc_bad_ow = c.index(where(ow_min > threshold)[0])\nc_bad_ow.display(ax, color=\"b\", label=\"Cyclonic\")\nax.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display Radius and amplitude of eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 5))\nfig.suptitle(\n    \"Parameter distribution (solid line) and cumulative distribution (dashed line)\"\n)\nax_amp, ax_rad = fig.add_subplot(121), fig.add_subplot(122)\nax_amp_c, ax_rad_c = ax_amp.twinx(), ax_rad.twinx()\nax_amp_c.set_ylim(0, 1), ax_rad_c.set_ylim(0, 1)\nkw_a = dict(xname=\"amplitude\", bins=arange(0, 2, 0.002).astype(\"f4\"))\nkw_r = dict(xname=\"radius_s\", bins=arange(0, 500e6, 2e3).astype(\"f4\"))\nfor d, label, color in (\n    (a, \"Anticyclonic all\", \"r\"),\n    (a_bad_ow, \"Anticyclonic bad OW\", \"orange\"),\n    (c, \"Cyclonic all\", \"blue\"),\n    (c_bad_ow, \"Cyclonic bad OW\", \"lightblue\"),\n):\n    x, y = d.bins_stat(**kw_a)\n    ax_amp.plot(x * 100, y, label=label, color=color)\n    ax_amp_c.plot(\n        x * 100, y.cumsum() / y.sum(), label=label, color=color, ls=\"-.\", lw=0.5\n    )\n    x, y = d.bins_stat(**kw_r)\n    ax_rad.plot(x * 1e-3, y, label=label, color=color)\n    ax_rad_c.plot(\n        x * 1e-3, y.cumsum() / y.sum(), label=label, color=color, ls=\"-.\", lw=0.5\n    )\n\nax_amp.set_xlim(0, 12.5), ax_amp.grid(), ax_amp.set_ylim(0), ax_amp.legend()\nax_rad.set_xlim(0, 120), ax_rad.grid(), ax_rad.set_ylim(0)\nax_amp.set_xlabel(\"Amplitude (cm)\"), ax_amp.set_ylabel(\"Nb eddies\")\nax_rad.set_xlabel(\"Speed radius (km)\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index e9452eab..4a4ebeb8 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1792,7 +1792,7 @@ def init_speed_coef(self, uname="u", vname="v"):
     def display(self, ax, name, factor=1, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str name: variable to display
+        :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.pcolormesh`
 
@@ -1800,20 +1800,22 @@ def display(self, ax, name, factor=1, **kwargs):
         """
         if "cmap" not in kwargs:
             kwargs["cmap"] = "coolwarm"
+        data = self.grid(name) if isinstance(name, str) else name
         return ax.pcolormesh(
-            self.x_bounds, self.y_bounds, self.grid(name).T * factor, **kwargs
+            self.x_bounds, self.y_bounds, data.T * factor, **kwargs
         )
 
     def contour(self, ax, name, factor=1, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str name: variable to display
+        :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.contour`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.contour
         """
-        return ax.contour(self.x_c, self.y_c, self.grid(name).T * factor, **kwargs)
+        data = self.grid(name) if isinstance(name, str) else name
+        return ax.contour(self.x_c, self.y_c, data.T * factor, **kwargs)
 
     def regrid(self, other, grid_name, new_name=None):
         """
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index e82c1e21..67fec16c 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -26,6 +26,26 @@
 from numba import njit, prange, types as numba_types
 
 
+@njit(cache=True)
+def count_consecutive(mask):
+    """
+    Count consecutive event every False flag count restart
+
+    :param array[bool] mask: event to count
+    :return: count when consecutive event
+    :rtype: array
+    """
+    count = 0
+    output = zeros(mask.shape, dtype=numba_types.int_)
+    for i in range(mask.shape[0]):
+        if not mask[i]:
+            count = 0
+            continue
+        count +=1
+        output[i] = count
+    return output
+
+
 @njit(cache=True)
 def reverse_index(index, nb):
     """

From be2e674e6bf7d71171802ff0c90fcb1ced28e95c Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Mon, 2 Nov 2020 10:39:26 +0100
Subject: [PATCH 150/441] Change in help and colors (#32)

---
 .../pet_contour_circle.py                     |   4 +-
 .../02_eddy_identification/pet_display_id.py  |   6 +-
 .../pet_eddy_detection.py                     |  80 ++++----
 .../pet_eddy_detection_gulf_stream.py         |  70 ++++---
 .../pet_filter_and_detection.py               |  65 +++----
 .../pet_contour_circle.ipynb                  |   6 +-
 .../pet_display_id.ipynb                      |   8 +-
 .../pet_eddy_detection.ipynb                  |  54 +++---
 .../pet_eddy_detection_gulf_stream.ipynb      |  48 ++---
 .../pet_filter_and_detection.ipynb            |  28 +--
 src/py_eddy_tracker/dataset/grid.py           |  87 ++++-----
 .../observations/observation.py               | 173 +++++++++++-------
 12 files changed, 338 insertions(+), 291 deletions(-)

diff --git a/examples/02_eddy_identification/pet_contour_circle.py b/examples/02_eddy_identification/pet_contour_circle.py
index 5cbba26b..45f1554d 100644
--- a/examples/02_eddy_identification/pet_contour_circle.py
+++ b/examples/02_eddy_identification/pet_contour_circle.py
@@ -13,7 +13,7 @@
 a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
 
 # %%
-# Plot
+# Plot the speed and effective (dashed) contours
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes((0.05, 0.05, 0.9, 0.9))
 ax.set_aspect("equal")
@@ -21,7 +21,7 @@
 ax.set_ylim(-50, -25)
 a.display(ax, label="Anticyclonic contour", color="r", lw=1)
 
-# Replace contour by circle
+# Replace contours by circles using center and radius (effective is dashed)
 a.circle_contour()
 a.display(ax, label="Anticyclonic circle", color="g", lw=1)
 ax.legend(loc="upper right")
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index a2c2f84d..5d061c24 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -14,7 +14,7 @@
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
 # %%
-# filled contour with amplitude field
+# Fill effective contour with amplitude 
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
 ax.set_aspect("equal")
@@ -24,11 +24,11 @@
 a.display(ax, **kwargs), c.display(ax, **kwargs)
 a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
 m = c.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
-colorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+colorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.03, 0.02, 0.94]))
 colorbar.set_label('Amplitude (m)')
 
 # %%
-# draw contour
+# Draw speed contours
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
 ax.set_aspect("equal")
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 130b35ca..ecfe76b6 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -20,7 +20,7 @@ def start_axes(title):
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.set_aspect("equal")
-    ax.set_title(title)
+    ax.set_title(title, weight='bold')
     return ax
 
 
@@ -31,23 +31,23 @@ def update_axes(ax, mappable=None):
 
 
 # %%
-# Load Input grid, ADT will be used to detect eddies
+# Load Input grid, ADT is used to detect eddies
 g = RegularGridDataset(
     data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 
 ax = start_axes("ADT (m)")
-m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15, cmap="RdBu_r")
 update_axes(ax, m)
 
 # %%
-# Get u/v
+# Get geostrophic speed u,v
 # -------
-# U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2°)
+# U/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2°)
 g.add_uv("adt")
 ax = start_axes("U/V deduce from ADT (m)")
 ax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)
-m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15, cmap="RdBu_r")
 u, v = g.grid("u").T, g.grid("v").T
 ax.quiver(g.x_c, g.y_c, u, v, scale=10)
 update_axes(ax, m)
@@ -55,94 +55,92 @@ def update_axes(ax, mappable=None):
 # %%
 # Pre-processings
 # ---------------
-# Apply high filter to remove long scale to highlight mesoscale
+# Apply a high-pass filter to remove the large scale and highlight the mesoscale
 g.bessel_high_filter("adt", 500)
 ax = start_axes("ADT (m) filtered (500km)")
-m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
+m = g.display(ax, "adt", vmin=-0.15, vmax=0.15, cmap="RdBu_r")
 update_axes(ax, m)
 
 # %%
 # Identification
 # --------------
-# run identification with slice of 2 mm
+# Run the identification step with slices of 2 mm
 date = datetime(2016, 5, 15)
 a, c = g.eddy_identification("adt", "u", "v", date, 0.002, shape_error=55)
 
 # %%
-# All closed contour found in this input grid (Display only 1 contour every 4)
-ax = start_axes("ADT closed contour (only 1 / 4 levels)")
+# Display of all closed contours found in the grid (only 1 contour every 4)
+ax = start_axes("ADT closed contours (only 1 / 4 levels)")
 g.contours.display(ax, step=4)
 update_axes(ax)
 
 # %%
-# Contours include in eddies
-ax = start_axes("ADT contour used as eddies")
+# Contours included in eddies
+ax = start_axes("ADT contours used as eddies")
 g.contours.display(ax, only_used=True)
 update_axes(ax)
 
 # %%
-# Post analyse
+# Post analysis
 # ------------
-# Contours reject from several origin (shape error to high, several extremum in contour, ...)
-ax = start_axes("ADT contour reject")
+# Contours can be rejected for several reasons (shape error to high, several extremum in contour, ...)
+ax = start_axes("ADT rejected contours")
 g.contours.display(ax, only_unused=True)
 update_axes(ax)
 
 # %%
-# Contours reject criterion
-#
+# Creteria for rejecting a contour
 # 0. - Accepted (green)
-# 1. - Reject for shape error (red)
-# 2. - Masked value in contour (blue)
-# 3. - Under or over pixel limit bound (black)
+# 1. - Rejection for shape error (red)
+# 2. - Masked value within contour (blue)
+# 3. - Under or over the pixel limit bounds (black)
 # 4. - Amplitude criterion (yellow)
-ax = start_axes("Contour reject criterion")
-g.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)
+ax = start_axes("Contours' rejection criteria")
+g.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)
 update_axes(ax)
 
 # %%
-# Display shape error of each tested contour, the limit of shape error is set to 55 %
+# Display the shape error of each tested contour, the limit of shape error is set to 55 %
 ax = start_axes("Contour shape error")
 m = g.contours.display(
-    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="seismic"
+    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="PRGn_r"
 )
 update_axes(ax, m)
 
 # %%
-# Contours closed which contains several eddies
-ax = start_axes("ADT contour reject but which contain eddies")
+# Some closed contours contains several eddies (aka, more than one extremum)
+ax = start_axes("ADT rejected contours containing eddies")
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
 g.contours.display(
-    ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour"
+    ax, only_contain_eddies=True, color="k", lw=1, label="Could be a contour of interaction"
 )
-a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
 # %%
 # Output
 # ------
-# Display detected eddies, dashed lines represent effective contour
-# and solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
-ax = start_axes("Eddies detected")
-a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+ax = start_axes("Detected Eddies")
+a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
 # %%
-# Display speed radius of eddies detected
-ax = start_axes("Eddies speed radius (km)")
-a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
-m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="jet", factor=0.001)
+# Display the speed radius of the detected eddies
+ax = start_axes("Speed Radius (km)")
+a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
+m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
 update_axes(ax, m)
 
 # %%
-# Display speed radius of eddies detected with filled eddy contours
-ax = start_axes("Eddies speed radius (km)")
+# Filling the effective radius contours with the effective radius values
+ax = start_axes("Effective Radius (km)")
 kwargs = dict(vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10)
 a.filled(ax, "radius_e", **kwargs)
 m = c.filled(
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index 40bd379a..b2dd562c 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -21,18 +21,18 @@ def start_axes(title):
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
     ax.set_xlim(279, 304), ax.set_ylim(29, 44)
     ax.set_aspect("equal")
-    ax.set_title(title)
+    ax.set_title(title, weight="bold")
     return ax
 
 
 def update_axes(ax, mappable=None):
     ax.grid()
     if mappable:
-        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 
 
 # %%
-# Load Input grid, ADT will be used to detect eddies
+# Load Input grid, ADT is used to detect eddies
 margin = 30
 g = RegularGridDataset(
     data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
@@ -46,108 +46,106 @@ def update_axes(ax, mappable=None):
 )
 
 ax = start_axes("ADT (m)")
-m = g.display(ax, "adt", vmin=-0.15, vmax=1)
+m = g.display(ax, "adt", vmin=-1, vmax=1, cmap="RdBu_r")
 # Draw line on the gulf stream front
 great_current = Contours(g.x_c, g.y_c, g.grid("adt"), levels=(0.35,), keep_unclose=True)
 great_current.display(ax, color="k")
 update_axes(ax, m)
 
 # %%
-# Get u/v
+# Get geostrophic speed u,v
 # -------
-# U/V are deduced from ADT, this algortihm are not usable around equator (~+- 2°)
+# U/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2°)
 g.add_uv("adt")
 
 # %%
 # Pre-processings
 # ---------------
-# Apply high filter to remove long scale to highlight mesoscale
+# Apply a high-pass filter to remove the large scale and highlight the mesoscale
 g.bessel_high_filter("adt", 700)
 ax = start_axes("ADT (m) filtered (700km)")
-m = g.display(ax, "adt", vmin=-0.25, vmax=0.25)
+m = g.display(ax, "adt", vmin=-0.4, vmax=0.4, cmap="RdBu_r")
 great_current.display(ax, color="k")
 update_axes(ax, m)
 
 # %%
 # Identification
 # --------------
-# run identification with slice of 2 mm
+# Run the identification step with slices of 2 mm
 date = datetime(2016, 5, 15)
 a, c = g.eddy_identification("adt", "u", "v", date, 0.002, shape_error=55)
 
 # %%
-# All closed contour found in this input grid (Display only 1 contour every 5)
-ax = start_axes("ADT closed contour (only 1 / 5 levels)")
+# Display of all closed contours found in the grid (only 1 contour every 5)
+ax = start_axes("ADT closed contours (only 1 / 5 levels)")
 g.contours.display(ax, step=5, lw=1)
 great_current.display(ax, color="k")
 update_axes(ax)
 
 # %%
-# Contours include in eddies
-ax = start_axes("ADT contour used as eddies")
+# Contours included in eddies
+ax = start_axes("ADT contours used as eddies")
 g.contours.display(ax, only_used=True, lw=0.25)
 great_current.display(ax, color="k")
 update_axes(ax)
 
 # %%
-# Post analyse
+# Post analysis
 # ------------
-# Contours reject from several origin (shape error to high, several extremum in contour, ...)
-ax = start_axes("ADT contour reject")
+# Contours can be rejected for several reasons (shape error to high, several extremum in contour, ...)
+ax = start_axes("ADT rejected contours")
 g.contours.display(ax, only_unused=True, lw=0.25)
 great_current.display(ax, color="k")
 update_axes(ax)
 
 # %%
-# Contours reject criterion
-#
+# Criteria for rejecting a contour
 # 0. - Accepted (green)
-# 1. - Reject for shape error (red)
-# 2. - Masked value in contour (blue)
-# 3. - Under or over pixel limit bound (black)
+# 1. - Rejection for shape error (red)
+# 2. - Masked value within contour (blue)
+# 3. - Under or over the pixel limit bounds (black)
 # 4. - Amplitude criterion (yellow)
-ax = start_axes("Contour reject criterion")
-g.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)
+ax = start_axes("Contours' rejection criteria")
+g.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)
 update_axes(ax)
 
 # %%
-# Display shape error of each tested contour, the limit of shape error is set to 55 %
+# Display the shape error of each tested contour, the limit of shape error is set to 55 %
 ax = start_axes("Contour shape error")
 m = g.contours.display(
-    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="seismic"
+    ax, lw=0.5, field="shape_error", bins=arange(20, 90.1, 5), cmap="PRGn_r"
 )
 update_axes(ax, m)
 
 # %%
-# Contours closed which contains several eddies
-ax = start_axes("ADT contour reject but which contain eddies")
+# Some closed contours contains several eddies (aka, more than one extremum)
+ax = start_axes("ADT rejected contours containing eddies")
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
 g.contours.display(
-    ax, only_contain_eddies=True, color="k", lw=1, label="Could be interaction contour"
+    ax, only_contain_eddies=True, color="k", lw=1, label="Could be a contour of interaction"
 )
-a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
 ax.legend()
 update_axes(ax)
 
 # %%
 # Output
 # ------
-# Display detected eddies, dashed lines represent effective contour
-# and solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
 ax = start_axes("Eddies detected")
-a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
 ax.legend()
 great_current.display(ax, color="k")
 update_axes(ax)
 
 
 # %%
-# Display speed radius of eddies detected
-ax = start_axes("Eddies speed radius (km)")
+# Display the effective radius of the detected eddies
+ax = start_axes("Effective radius (km)")
 a.filled(ax, "radius_e", vmin=10, vmax=150, cmap="magma_r", factor=0.001, lut=14)
 m = c.filled(ax, "radius_e", vmin=10, vmax=150, cmap="magma_r", factor=0.001, lut=14)
 great_current.display(ax, color="k")
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index ce064dc4..03c163bf 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -16,65 +16,66 @@ def start_axes(title):
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.set_aspect("equal")
-    ax.set_title(title)
+    ax.set_title(title, weight="bold")
     return ax
 
 
 def update_axes(ax, mappable=None):
     ax.grid()
     if mappable:
-        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 
 
 # %%
-# Load Input grid, ADT will be used to detect eddies
+# Load Input grid, ADT is used to detect eddies.
+# Add a new filed to store the high-pass filtered ADT
 
 g = RegularGridDataset(
     data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
 )
 g.add_uv("adt")
 g.copy("adt", "adt_high")
-wavelength = 400
+wavelength = 800
 g.bessel_high_filter("adt_high", wavelength)
 date = datetime(2016, 5, 15)
 
 # %%
-# Run algorithm of detection
-a_f, c_f = g.eddy_identification("adt_high", "u", "v", date, 0.002)
-merge_f = a_f.merge(c_f)
-a_r, c_r = g.eddy_identification("adt", "u", "v", date, 0.002)
-merge_r = a_r.merge(c_r)
+# Run the detection for the total grid and the filtered grid
+a_filtered, c_filtered = g.eddy_identification("adt_high", "u", "v", date, 0.002)
+merge_f = a_filtered.merge(c_filtered)
+a_tot, c_tot = g.eddy_identification("adt", "u", "v", date, 0.002)
+merge_t = a_tot.merge(c_tot)
 
 # %%
-# Display detection
+# Display the two detections
 ax = start_axes("Eddies detected over ADT")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
-merge_f.display(ax, lw=0.5, label="Eddy from filtered grid", ref=-10, color="k")
-merge_r.display(ax, lw=0.5, label="Eddy from raw grid", ref=-10, color="r")
+merge_f.display(ax, lw=0.75, label="Eddies in the filtered grid", ref=-10, color="k")
+merge_t.display(ax, lw=0.75, label="Eddies without filter", ref=-10, color="r")
 ax.legend()
 update_axes(ax, m)
 
 # %%
-# Parameters distribution
+# Amplitude and Speed Radius distributions
 # -----------------------
 fig = plt.figure(figsize=(12, 5))
-ax_a = fig.add_subplot(121, xlabel="amplitdue(cm)")
-ax_r = fig.add_subplot(122, xlabel="speed radius (km)")
+ax_a = fig.add_subplot(121, xlabel="Amplitude (cm)")
+ax_r = fig.add_subplot(122, xlabel="Speed Radius (km)")
 ax_a.hist(
     merge_f["amplitude"] * 100,
     bins=arange(0.0005, 100, 1),
-    label="Eddy from filtered grid",
+    label="Eddies in the filtered grid",
     histtype="step",
 )
 ax_a.hist(
-    merge_r["amplitude"] * 100,
+    merge_t["amplitude"] * 100,
     bins=arange(0.0005, 100, 1),
-    label="Eddy from raw grid",
+    label="Eddies without filter",
     histtype="step",
 )
 ax_a.set_xlim(0, 10)
 ax_r.hist(merge_f["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
-ax_r.hist(merge_r["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
+ax_r.hist(merge_t["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
 ax_r.set_xlim(0, 100)
 ax_a.legend()
 
@@ -82,16 +83,16 @@ def update_axes(ax, mappable=None):
 # Match detection and compare
 # ---------------------------
 
-i_, j_, c = merge_f.match(merge_r, cmin=0.1)
+i_, j_, c = merge_f.match(merge_t, cmin=0.1)
 
 # %%
-# where is lonely eddies
-kwargs_f = dict(lw=1.5, label="Lonely eddy from filtered grid", ref=-10, color="k")
-kwargs_r = dict(lw=1.5, label="Lonely eddy from raw grid", ref=-10, color="r")
+# Where are the lonely eddies?
+kwargs_f = dict(lw=1.5, label="Lonely eddies in the filtered grid", ref=-10, color="k")
+kwargs_t = dict(lw=1.5, label="Lonely eddies without filter", ref=-10, color="r")
 ax = start_axes("Eddies with no match, over filtered ADT")
 mappable = g.display(ax, "adt_high", vmin=-0.15, vmax=0.15)
 merge_f.index(i_, reverse=True).display(ax, **kwargs_f)
-merge_r.index(j_, reverse=True).display(ax, **kwargs_r)
+merge_t.index(j_, reverse=True).display(ax, **kwargs_t)
 ax.legend()
 update_axes(ax, mappable)
 
@@ -101,26 +102,26 @@ def update_axes(ax, mappable=None):
 u, v = g.grid("u").T, g.grid("v").T
 ax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot="mid", color="gray")
 merge_f.index(i_, reverse=True).display(ax, **kwargs_f)
-merge_r.index(j_, reverse=True).display(ax, **kwargs_r)
+merge_t.index(j_, reverse=True).display(ax, **kwargs_t)
 ax.legend()
 update_axes(ax, mappable)
 
 # %%
 fig = plt.figure(figsize=(12, 12))
-fig.suptitle(f"Scatter plot ({i_.shape[0]} matches)")
+fig.suptitle(f"Scatter plot ({i_.shape[0]} matches)", weight="bold")
 
 for i, (label, field, factor, stop) in enumerate(
     (
-        ("speed radius (km)", "radius_s", 0.001, 80),
-        ("outter radius (km)", "radius_e", 0.001, 120),
-        ("amplitude (cm)", "amplitude", 100, 25),
-        ("speed max (cm/s)", "speed_average", 100, 25),
+        ("Speed radius (km)", "radius_s", 0.001, 80),
+        ("Effective radius (km)", "radius_e", 0.001, 120),
+        ("Amplitude (cm)", "amplitude", 100, 25),
+        ("Maximum Speed (cm/s)", "speed_average", 100, 25),
     )
 ):
     ax = fig.add_subplot(
-        2, 2, i + 1, xlabel="filtered grid", ylabel="raw grid", title=label
+        2, 2, i + 1, xlabel="Filtered grid", ylabel="Without filter", title=label
     )
-    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, ".")
+    ax.plot(merge_f[field][i_] * factor, merge_t[field][j_] * factor, ".")
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "r")
     ax.set_xlim(0, stop), ax.set_ylim(0, stop)
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index 05f7d14e..23c2e6a3 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot\n\n"
+        "Plot the speed and effective (dashed) contours\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\na.display(ax, label=\"Anticyclonic contour\", color=\"r\", lw=1)\n\n# Replace contour by circle\na.circle_contour()\na.display(ax, label=\"Anticyclonic circle\", color=\"g\", lw=1)\nax.legend(loc=\"upper right\")"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\na.display(ax, label=\"Anticyclonic contour\", color=\"r\", lw=1)\n\n# Replace contours by circles using center and radius (effective is dashed)\na.circle_contour()\na.display(ax, label=\"Anticyclonic circle\", color=\"g\", lw=1)\nax.legend(loc=\"upper right\")"
       ]
     }
   ],
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 9273910a..fc22f34b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "filled contour with amplitude field\n\n"
+        "Fill effective contour with amplitude \n\n"
       ]
     },
     {
@@ -62,14 +62,14 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))\ncolorbar.set_label('Amplitude (m)')"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.03, 0.02, 0.94]))\ncolorbar.set_label('Amplitude (m)')"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "draw contour\n\n"
+        "Draw speed contours\n\n"
       ]
     },
     {
@@ -129,7 +129,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 9e59b80f..18412d39 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -37,14 +37,14 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight='bold')\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Load Input grid, ADT will be used to detect eddies\n\n"
+        "Load Input grid, ADT is used to detect eddies\n\n"
       ]
     },
     {
@@ -55,14 +55,14 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Get u/v\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+        "## Get geostrophic speed u,v\nU/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2\u00b0)\n\n"
       ]
     },
     {
@@ -73,14 +73,14 @@
       },
       "outputs": [],
       "source": [
-        "g.add_uv(\"adt\")\nax = start_axes(\"U/V deduce from ADT (m)\")\nax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10)\nupdate_axes(ax, m)"
+        "g.add_uv(\"adt\")\nax = start_axes(\"U/V deduce from ADT (m)\")\nax.set_xlim(2.5, 9), ax.set_ylim(37.5, 40)\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10)\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Pre-processings\nApply high filter to remove long scale to highlight mesoscale\n\n"
+        "## Pre-processings\nApply a high-pass filter to remove the large scale and highlight the mesoscale\n\n"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "g.bessel_high_filter(\"adt\", 500)\nax = start_axes(\"ADT (m) filtered (500km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nupdate_axes(ax, m)"
+        "g.bessel_high_filter(\"adt\", 500)\nax = start_axes(\"ADT (m) filtered (500km)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Identification\nrun identification with slice of 2 mm\n\n"
+        "## Identification\nRun the identification step with slices of 2 mm\n\n"
       ]
     },
     {
@@ -116,7 +116,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "All closed contour found in this input grid (Display only 1 contour every 4)\n\n"
+        "Display of all closed contours found in the grid (only 1 contour every 4)\n\n"
       ]
     },
     {
@@ -127,14 +127,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT closed contour (only 1 / 4 levels)\")\ng.contours.display(ax, step=4)\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT closed contours (only 1 / 4 levels)\")\ng.contours.display(ax, step=4)\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours include in eddies\n\n"
+        "Contours included in eddies\n\n"
       ]
     },
     {
@@ -145,14 +145,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True)\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT contours used as eddies\")\ng.contours.display(ax, only_used=True)\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Post analyse\nContours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+        "## Post analysis\nContours can be rejected for several reasons (shape error to high, several extremum in contour, ...)\n\n"
       ]
     },
     {
@@ -163,14 +163,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours\")\ng.contours.display(ax, only_unused=True)\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours reject criterion\n\n0. - Accepted (green)\n1. - Reject for shape error (red)\n2. - Masked value in contour (blue)\n3. - Under or over pixel limit bound (black)\n4. - Amplitude criterion (yellow)\n\n"
+        "Creteria for rejecting a contour\n0. - Accepted (green)\n1. - Rejection for shape error (red)\n2. - Masked value within contour (blue)\n3. - Under or over the pixel limit bounds (black)\n4. - Amplitude criterion (yellow)\n\n"
       ]
     },
     {
@@ -181,14 +181,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Contour reject criterion\")\ng.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)\nupdate_axes(ax)"
+        "ax = start_axes(\"Contours' rejection criteria\")\ng.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
+        "Display the shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
       ]
     },
     {
@@ -199,14 +199,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"seismic\"\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"PRGn_r\"\n)\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours closed which contains several eddies\n\n"
+        "Some closed contours contains several eddies (aka, more than one extremum)\n\n"
       ]
     },
     {
@@ -217,14 +217,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be a contour of interaction\"\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Output\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
@@ -235,14 +235,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"Detected Eddies\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display speed radius of eddies detected\n\n"
+        "Display the speed radius of the detected eddies\n\n"
       ]
     },
     {
@@ -253,14 +253,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies speed radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"jet\", factor=0.001)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Speed Radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display speed radius of eddies detected with filled eddy contours\n\n"
+        "Filling the effective radius contours with the effective radius values\n\n"
       ]
     },
     {
@@ -271,7 +271,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies speed radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"radius_e\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"radius_e\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
       ]
     }
   ],
@@ -291,7 +291,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 1e4f484e..644171bd 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -37,14 +37,14 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 8))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(279, 304), ax.set_ylim(29, 44)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 8))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(279, 304), ax.set_ylim(29, 44)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Load Input grid, ADT will be used to detect eddies\n\n"
+        "Load Input grid, ADT is used to detect eddies\n\n"
       ]
     },
     {
@@ -55,14 +55,14 @@
       },
       "outputs": [],
       "source": [
-        "margin = 30\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n    # Manual area subset\n    indexs=dict(\n        longitude=slice(1116 - margin, 1216 + margin),\n        latitude=slice(476 - margin, 536 + margin),\n    ),\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=1)\n# Draw line on the gulf stream front\ngreat_current = Contours(g.x_c, g.y_c, g.grid(\"adt\"), levels=(0.35,), keep_unclose=True)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+        "margin = 30\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n    # Manual area subset\n    indexs=dict(\n        longitude=slice(1116 - margin, 1216 + margin),\n        latitude=slice(476 - margin, 536 + margin),\n    ),\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\n# Draw line on the gulf stream front\ngreat_current = Contours(g.x_c, g.y_c, g.grid(\"adt\"), levels=(0.35,), keep_unclose=True)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Get u/v\nU/V are deduced from ADT, this algortihm are not usable around equator (~+- 2\u00b0)\n\n"
+        "## Get geostrophic speed u,v\nU/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2\u00b0)\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Pre-processings\nApply high filter to remove long scale to highlight mesoscale\n\n"
+        "## Pre-processings\nApply a high-pass filter to remove the large scale and highlight the mesoscale\n\n"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "g.bessel_high_filter(\"adt\", 700)\nax = start_axes(\"ADT (m) filtered (700km)\")\nm = g.display(ax, \"adt\", vmin=-0.25, vmax=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+        "g.bessel_high_filter(\"adt\", 700)\nax = start_axes(\"ADT (m) filtered (700km)\")\nm = g.display(ax, \"adt\", vmin=-0.4, vmax=0.4, cmap=\"RdBu_r\")\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Identification\nrun identification with slice of 2 mm\n\n"
+        "## Identification\nRun the identification step with slices of 2 mm\n\n"
       ]
     },
     {
@@ -116,7 +116,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "All closed contour found in this input grid (Display only 1 contour every 5)\n\n"
+        "Display of all closed contours found in the grid (only 1 contour every 5)\n\n"
       ]
     },
     {
@@ -127,14 +127,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT closed contour (only 1 / 5 levels)\")\ng.contours.display(ax, step=5, lw=1)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT closed contours (only 1 / 5 levels)\")\ng.contours.display(ax, step=5, lw=1)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours include in eddies\n\n"
+        "Contours included in eddies\n\n"
       ]
     },
     {
@@ -145,14 +145,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour used as eddies\")\ng.contours.display(ax, only_used=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT contours used as eddies\")\ng.contours.display(ax, only_used=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Post analyse\nContours reject from several origin (shape error to high, several extremum in contour, ...)\n\n"
+        "## Post analysis\nContours can be rejected for several reasons (shape error to high, several extremum in contour, ...)\n\n"
       ]
     },
     {
@@ -163,14 +163,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour reject\")\ng.contours.display(ax, only_unused=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours\")\ng.contours.display(ax, only_unused=True, lw=0.25)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours reject criterion\n\n0. - Accepted (green)\n1. - Reject for shape error (red)\n2. - Masked value in contour (blue)\n3. - Under or over pixel limit bound (black)\n4. - Amplitude criterion (yellow)\n\n"
+        "Criteria for rejecting a contour\n0. - Accepted (green)\n1. - Rejection for shape error (red)\n2. - Masked value within contour (blue)\n3. - Under or over the pixel limit bounds (black)\n4. - Amplitude criterion (yellow)\n\n"
       ]
     },
     {
@@ -181,14 +181,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Contour reject criterion\")\ng.contours.display(ax, only_unused=True, lw=0.25, display_criterion=True)\nupdate_axes(ax)"
+        "ax = start_axes(\"Contours' rejection criteria\")\ng.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
+        "Display the shape error of each tested contour, the limit of shape error is set to 55 %\n\n"
       ]
     },
     {
@@ -199,14 +199,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"seismic\"\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Contour shape error\")\nm = g.contours.display(\n    ax, lw=0.5, field=\"shape_error\", bins=arange(20, 90.1, 5), cmap=\"PRGn_r\"\n)\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Contours closed which contains several eddies\n\n"
+        "Some closed contours contains several eddies (aka, more than one extremum)\n\n"
       ]
     },
     {
@@ -217,14 +217,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT contour reject but which contain eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be interaction contour\"\n)\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be a contour of interaction\"\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Output\nDisplay detected eddies, dashed lines represent effective contour\nand solid lines represent contour of maximum of speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
@@ -235,14 +235,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display speed radius of eddies detected\n\n"
+        "Display the effective radius of the detected eddies\n\n"
       ]
     },
     {
@@ -253,7 +253,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies speed radius (km)\")\na.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\nm = c.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Effective radius (km)\")\na.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\nm = c.filled(ax, \"radius_e\", vmin=10, vmax=150, cmap=\"magma_r\", factor=0.001, lut=14)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
       ]
     }
   ],
@@ -273,7 +273,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index c894797c..5a1e173c 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -37,14 +37,14 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Load Input grid, ADT will be used to detect eddies\n\n"
+        "Load Input grid, ADT is used to detect eddies.\nAdd a new filed to store the high-pass filtered ADT\n\n"
       ]
     },
     {
@@ -55,14 +55,14 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 400\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Run algorithm of detection\n\n"
+        "Run the detection for the total grid and the filtered grid\n\n"
       ]
     },
     {
@@ -73,14 +73,14 @@
       },
       "outputs": [],
       "source": [
-        "a_f, c_f = g.eddy_identification(\"adt_high\", \"u\", \"v\", date, 0.002)\nmerge_f = a_f.merge(c_f)\na_r, c_r = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)\nmerge_r = a_r.merge(c_r)"
+        "a_filtered, c_filtered = g.eddy_identification(\"adt_high\", \"u\", \"v\", date, 0.002)\nmerge_f = a_filtered.merge(c_filtered)\na_tot, c_tot = g.eddy_identification(\"adt\", \"u\", \"v\", date, 0.002)\nmerge_t = a_tot.merge(c_tot)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display detection\n\n"
+        "Display the two detections\n\n"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.5, label=\"Eddy from filtered grid\", ref=-10, color=\"k\")\nmerge_r.display(ax, lw=0.5, label=\"Eddy from raw grid\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.75, label=\"Eddies in the filtered grid\", ref=-10, color=\"k\")\nmerge_t.display(ax, lw=0.75, label=\"Eddies without filter\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Parameters distribution\n\n"
+        "## Amplitude and Speed Radius distributions\n\n"
       ]
     },
     {
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax_a = fig.add_subplot(121, xlabel=\"amplitdue(cm)\")\nax_r = fig.add_subplot(122, xlabel=\"speed radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_r[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddy from raw grid\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_r[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax_a = fig.add_subplot(121, xlabel=\"Amplitude (cm)\")\nax_r = fig.add_subplot(122, xlabel=\"Speed Radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies in the filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_t[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies without filter\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_t[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
       ]
     },
     {
@@ -127,14 +127,14 @@
       },
       "outputs": [],
       "source": [
-        "i_, j_, c = merge_f.match(merge_r, cmin=0.1)"
+        "i_, j_, c = merge_f.match(merge_t, cmin=0.1)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "where is lonely eddies\n\n"
+        "Where are the lonely eddies?\n\n"
       ]
     },
     {
@@ -145,7 +145,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_f = dict(lw=1.5, label=\"Lonely eddy from filtered grid\", ref=-10, color=\"k\")\nkwargs_r = dict(lw=1.5, label=\"Lonely eddy from raw grid\", ref=-10, color=\"r\")\nax = start_axes(\"Eddies with no match, over filtered ADT\")\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_r.index(j_, reverse=True).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)\n\nax = start_axes(\"Eddies with no match, over filtered ADT (zoom)\")\nax.set_xlim(25, 36), ax.set_ylim(31, 35.25)\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot=\"mid\", color=\"gray\")\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_r.index(j_, reverse=True).display(ax, **kwargs_r)\nax.legend()\nupdate_axes(ax, mappable)"
+        "kwargs_f = dict(lw=1.5, label=\"Lonely eddies in the filtered grid\", ref=-10, color=\"k\")\nkwargs_t = dict(lw=1.5, label=\"Lonely eddies without filter\", ref=-10, color=\"r\")\nax = start_axes(\"Eddies with no match, over filtered ADT\")\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_t.index(j_, reverse=True).display(ax, **kwargs_t)\nax.legend()\nupdate_axes(ax, mappable)\n\nax = start_axes(\"Eddies with no match, over filtered ADT (zoom)\")\nax.set_xlim(25, 36), ax.set_ylim(31, 35.25)\nmappable = g.display(ax, \"adt_high\", vmin=-0.15, vmax=0.15)\nu, v = g.grid(\"u\").T, g.grid(\"v\").T\nax.quiver(g.x_c, g.y_c, u, v, scale=10, pivot=\"mid\", color=\"gray\")\nmerge_f.index(i_, reverse=True).display(ax, **kwargs_f)\nmerge_t.index(j_, reverse=True).display(ax, **kwargs_t)\nax.legend()\nupdate_axes(ax, mappable)"
       ]
     },
     {
@@ -156,7 +156,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot ({i_.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"filtered grid\", ylabel=\"raw grid\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_r[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot ({i_.shape[0]} matches)\", weight=\"bold\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"Speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"Effective radius (km)\", \"radius_e\", 0.001, 120),\n        (\"Amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"Maximum Speed (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(\n        2, 2, i + 1, xlabel=\"Filtered grid\", ylabel=\"Without filter\", title=label\n    )\n    ax.plot(merge_f[field][i_] * factor, merge_t[field][j_] * factor, \".\")\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"r\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)"
       ]
     }
   ],
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 4a4ebeb8..5d55cf8b 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -304,7 +304,7 @@ def __init__(
 
     @property
     def is_centered(self):
-        """Give information if pixel is describe with center position or
+        """Give True if pixel is described with its center's position or
         a corner
 
         :return: True if centered
@@ -316,7 +316,7 @@ def is_centered(self):
             return self.centered
 
     def load_general_features(self):
-        """Load attrs to  be store in object
+        """Load attrs to  be stored in object
         """
         logger.debug(
             "Load general feature from %(filename)s", dict(filename=self.filename)
@@ -343,9 +343,9 @@ def load_general_features(self):
             self.global_attrs = {attr: getattr(h, attr) for attr in h.ncattrs()}
 
     def write(self, filename):
-        """Write dataset output with same format like input
+        """Write dataset output with same format as input
 
-        :param str filename: filename which will be used to save grid
+        :param str filename: filename used to save the grid
         """
         with Dataset(filename, "w") as h_out:
             for dimension, size in self.dimensions.items():
@@ -449,7 +449,7 @@ def variables(self):
 
     def copy(self, grid_in, grid_out):
         """
-        Duplicate a variable
+        Duplicate the variable from grid_in in grid_out
 
         :param grid_in:
         :param grid_out:
@@ -468,17 +468,17 @@ def add_grid(self, varname, grid):
         """
         Add a grid in handler
 
-        :param str varname: name of future grid
+        :param str varname: name of the future grid
         :param array grid: grid array
         """
         self.vars[varname] = grid
 
     def grid(self, varname, indexs=None):
-        """give grid required
+        """Give the grid required
 
         :param str varname: Variable to get
-        :param dict,None indexs: If defined dict must have dimensions name like key
-        :return: array asked reduce with indexs
+        :param dict,None indexs: If defined dict must have dimensions name as key
+        :return: array asked, reduced by the indexes
         :rtype: array
 
         .. minigallery:: py_eddy_tracker.GridDataset.grid
@@ -518,7 +518,7 @@ def grid(self, varname, indexs=None):
         return self.vars[varname]
 
     def grid_tiles(self, varname, slice_x, slice_y):
-        """give grid tiles required, without buffer system
+        """Give the grid tiles required, without buffer system
         """
         coordinates_dims = list(self.x_dim)
         coordinates_dims.extend(list(self.y_dim))
@@ -550,20 +550,25 @@ def grid_tiles(self, varname, slice_x, slice_y):
         return data
 
     def high_filter(self, grid_name, w_cut, **kwargs):
-        """create a high filter with a low one
+        """Return the grid high-pass filtered, by substracting to the grid the low-pass filter (default: order=1)
+        :param grid_name: the name of the grid
+        :param int, w_cut: the half-power wavelength cutoff (km)
+
         """
         result = self._low_filter(grid_name, w_cut, **kwargs)
         self.vars[grid_name] -= result
 
     def low_filter(self, grid_name, w_cut, **kwargs):
-        """low filtering
+        """Return the grid low-pass filtered (default: order=1)
+        :param grid_name: the name of the grid
+        :param int, w_cut: the half-power wavelength cutoff (km)
         """
         result = self._low_filter(grid_name, w_cut, **kwargs)
         self.vars[grid_name] -= self.vars[grid_name] - result
 
     @property
     def bounds(self):
-        """Give bound
+        """Give bounds
         """
         return (
             self.x_bounds.min(),
@@ -588,21 +593,21 @@ def eddy_identification(
         **kwargs,
     ):
         """
-        Compute eddy identification on specified grid
+        Compute eddy identification on the pecified grid
 
-        :param str grid_height: Grid name of height
+        :param str grid_height: Grid name of Sea Surface Height
         :param str uname: Grid name of u speed component
         :param str vname: Grid name of v speed component
-        :param datetime.datetime date: Date which will be store in object to date data
+        :param datetime.datetime date: Date which will be stored in object to date data
         :param float,int step: Height between two layers in m
-        :param float,int shape_error: Maximal error allow for outter contour in %
-        :param int sampling: Sampling of contour and speed profile
+        :param float,int shape_error: Maximal error allowed for outter contour in %
+        :param int sampling: Number of points to store contours and speed profile
         :param (int,int),None pixel_limit:
-            Min and max of pixel which must be inside inner and outer contour to be considered like an eddy
-        :param float,None precision: Truncate value at the defined precision in m
-        :param str force_height_unit: Unit to used for height unit
-        :param str force_speed_unit: Unit to used for speed unit
-        :param dict kwargs: Argument give to amplitude
+            Min and max number of pixels inside the inner and the outer contour to be considered as an eddy
+        :param float,None precision: Truncate values at the defined precision in m
+        :param str force_height_unit: Unit used for height unit
+        :param str force_speed_unit: Unit used for speed unit
+        :param dict kwargs: Argument given to amplitude
 
         :return: Return a list of 2 elements: Anticyclone and Cyclone
         :rtype: py_eddy_tracker.observations.observation.EddiesObservations
@@ -635,7 +640,7 @@ def eddy_identification(
             if precision is not None:
                 precision /= factor
 
-        # Get h grid
+        # Get ssh grid
         data = self.grid(grid_height).astype("f8")
         # In case of a reduce mask
         if len(data.mask.shape) == 0 and not data.mask:
@@ -686,7 +691,7 @@ def eddy_identification(
             "contour_lat_s",
             "uavg_profile",
         ]
-        # Compute cyclonic and anticylonic research:
+        # Complete cyclonic and anticylonic research:
         a_and_c = list()
         for anticyclonic_search in [True, False]:
             eddies = list()
@@ -731,7 +736,7 @@ def eddy_identification(
                             contour.reject = 2
                         continue
 
-                    # Test to know cyclone or anticyclone
+                    # Test of the rotating sense: cyclone or anticyclone
                     if has_value(
                         data, i_x_in, i_y_in, cvalues, below=anticyclonic_search
                     ):
@@ -774,7 +779,7 @@ def eddy_identification(
                             centlon_e = x[centi, centj]
                             centlat_e = y[centi, centj]
 
-                    # centlat_e and centlon_e must be index of maximum, we will loose some inner contour, if it's not
+                    # centlat_e and centlon_e must be index of maximum, we will loose some inner contour if it's not
                     (
                         max_average_speed,
                         speed_contour,
@@ -792,7 +797,7 @@ def eddy_identification(
                         pixel_min=pixel_limit[0],
                     )
 
-                    # FIXME : Instantiate new EddyObservation object (high cost need to be review)
+                    # FIXME : Instantiate new EddyObservation object (high cost need to be reviewed)
                     obs = EddiesObservations(
                         size=1,
                         track_extra_variables=track_extra_variables,
@@ -831,7 +836,7 @@ def eddy_identification(
                     centlon_s, centlat_s, eddy_radius_s, aerr_s = _fit_circle_path(
                         create_vertice(*xy_s)
                     )
-                    # Computed again to use resample contour
+                    # Compute again to use resampled contour
                     _, _, eddy_radius_e, aerr_e = _fit_circle_path(
                         create_vertice(*xy_e)
                     )
@@ -939,7 +944,7 @@ def get_uavg(
             if not poly_contain_poly(original_contour.vertices, level_contour.vertices):
                 break
             # 3. Respect size range (for max speed)
-            # nb_pixel properties need call of pixels_in before with a grid of pixel
+            # nb_pixel properties need to call pixels_in before with a grid of pixel
             level_contour.pixels_in(self)
             # Interpolate uspd to seglon, seglat, then get mean
             level_average_speed = self.speed_coef_mean(level_contour)
@@ -1002,7 +1007,7 @@ def get_amplitude(
 
 
 class UnRegularGridDataset(GridDataset):
-    """Class which manage unregular grid
+    """Class managing unregular grid
     """
 
     __slots__ = (
@@ -1218,7 +1223,7 @@ def ystep(self):
         return self._y_step
 
     def compute_pixel_path(self, x0, y0, x1, y1):
-        """Give a series of index which describe the path between to position
+        """Give a series of indexes which describe the path between to position
         """
         return compute_pixel_path(
             x0,
@@ -1238,7 +1243,7 @@ def clean_land(self):
         pass
 
     def is_circular(self):
-        """Check if grid is circular
+        """Check if the grid is circular
         """
         if self._is_circular is None:
             self._is_circular = (
@@ -1464,7 +1469,7 @@ def bessel_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwar
         """
         :param str grid_name: grid to filter, data will replace original one
         :param float wave_length: in km
-        :param int order: order to use, if > 1 negativ value will be present in kernel
+        :param int order: order to use, if > 1 negative values of the cardinal sinus are present in kernel
         :param float lat_max: absolute latitude above no filtering apply
         :param dict kwargs: look at :py:meth:`RegularGridDataset.convolve_filter_with_dynamic_kernel`
 
@@ -1723,7 +1728,7 @@ def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
     def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         """Compute a u and v grid
 
-        :param str grid_height: grid name where funtion will apply stencil method
+        :param str grid_height: grid name where the funtion will apply stencil method
         :param str uname: future name of u
         :param str vname: future name of v
         :param int stencil_halfwidth: largest stencil could be apply
@@ -1772,7 +1777,7 @@ def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         )
 
     def speed_coef_mean(self, contour):
-        """some nan can be compute over contour if we are near border,
+        """Some nan can be computed over contour if we are near border,
         something to explore
         """
         return mean_on_regular_contour(
@@ -1819,11 +1824,11 @@ def contour(self, ax, name, factor=1, **kwargs):
 
     def regrid(self, other, grid_name, new_name=None):
         """
-        Interpolate another grid on current grid position
+        Interpolate another grid at the current grid position
 
         :param RegularGridDataset other:
-        :param str grid_name: var name to interpolate
-        :param str new_name: name use to store, if None method will use current ont
+        :param str grid_name: variable name to interpolate
+        :param str new_name: name used to store, if None method will use current ont
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.regrid
         """
@@ -1845,7 +1850,7 @@ def interp(self, grid_name, lons, lats):
         """
         Compute z over lons, lats
 
-        :param str grid_name: Grid which will be interp
+        :param str grid_name: Grid to be interpolated
         :param lons: new x
         :param lats: new y
 
@@ -1861,7 +1866,7 @@ def interp(self, grid_name, lons, lats):
 
 @njit(cache=True, fastmath=True)
 def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
-    """Give a series of index which describe the path between to position
+    """Give a serie of indexes describing the path between two position
     """
     # index
     nx = x0.shape[0]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5270d9da..4544b859 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -209,7 +209,7 @@ def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
             :param array bins:
             :param bool percent: normalize by sum of all bins
             :param bool mean: compute mean by bins
-            :param nb mean: only count by bins
+            :param bool nb: only count by bins
             :return: value by bins
             :rtype: array
             """
@@ -230,7 +230,7 @@ def box_display(value):
 
     def __repr__(self):
         """
-        return general informations on dataset as a string
+        Return general informations on dataset as a string
 
         :return: informations on datasets
         :rtype: str
@@ -311,7 +311,7 @@ def add_rotation_type(self):
 
     def circle_contour(self):
         """
-        Set contour like a circle with radius and center data
+        Set contour as a circle with radius and center data
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.circle_contour
         """
@@ -351,7 +351,7 @@ def dtype(self):
 
     @property
     def elements(self):
-        """Return all variable name
+        """Return all the names of the variables
         """
         elements = [i for i in self.ELEMENTS]
         if self.track_array_variables > 0:
@@ -412,7 +412,7 @@ def reset(self):
 
     @property
     def obs(self):
-        """return an array observations
+        """Return an array observations
         """
         return self.observations
 
@@ -425,10 +425,10 @@ def __iter__(self):
 
     def iter_on(self, xname, bins=None):
         """
-        Yield observation group for each bins
+        Yield observation group for each bin
 
         :param str varname:
-        :param array bins: bounds og each bins ,
+        :param array bins: bounds of each bin ,
         :return: Group observations
         :rtype: self.__class__
         """
@@ -454,6 +454,9 @@ def iter_on(self, xname, bins=None):
                 yield slice(index[0], index[-1] + 1), bins[i_], bins[i_ + 1]
 
     def align_on(self, other, var_name="time", **kwargs):
+        """
+        Align the time indexes of two datasets
+        """
         iter_self, iter_other = (
             self.iter_on(var_name, **kwargs),
             other.iter_on(var_name, **kwargs),
@@ -543,6 +546,23 @@ def zarr_dimension(filename):
 
     @classmethod
     def load_file(cls, filename, **kwargs):
+        """
+        Load the netcdf or the zarr file
+        Load only latitude and longitude on the first 300 obs :
+
+        ```python
+        kwargs_latlon_300 = dict(
+            include_vars=[
+            "longitude",
+            "latitude",
+            ],
+            indexs=dict(obs=slice(0, 300)),
+        )
+        small_dataset = TrackEddiesObservations.load_file(
+            nc_file.nc,
+            **kwargs_latlon_300)
+        ```
+        """
         filename_ = (
             filename.filename if isinstance(filename, ExFileObject) else filename
         )
@@ -871,20 +891,23 @@ def intern(flag, public_label=False):
         return labels
 
     def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
-        """return index and score compute with area
+        """Return index and score computed with the chosen method on the effective contour
 
         :param EddiesObservations other: Observations to compare
         :param str method:
-            if method is "overlap" method will use contour to compute score,
-            if method is "circle" method will apply a formula of circle overlap
-        :param bool intern: if True, speed contour will be used
-        :param float cmin: 0 < cmin < 1, return only couple above cmin
+            "overlap": the score is computed with contours;
+            "circle": circles are computed and used for score
+        :param bool intern: if True, speed contour is used (default = effective contour)
+        :param float cmin: 0 < cmin < 1, return only couples with score >= cmin
         :param dict kwargs: look at :py:meth:`vertice_overlap`
-        :return: return index of couple in self and other and cost value
+        :return: return the indexes of the eddies in self coupled with eddies in
+        other and their associated score
         :rtype: (array(int), array(int), array(float))
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
         """
+        # if method is "overlap" method will use contour to compute score,
+        # if method is "circle" method will apply a formula of circle overlap
         x_name, y_name = self.intern(intern)
         if method == "overlap":
             i, j = bbox_intersection(
@@ -902,7 +925,7 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
                 self.latitude, self.longitude, other.latitude, other.longitude, **kwargs
             )
 
-        m = c > cmin
+        m = c >= cmin  # ajout >= pour garder la cmin dans la sélection
         return i[m], j[m], c[m]
 
     @classmethod
@@ -947,6 +970,18 @@ def mask_function(self, other, distance):
 
     @staticmethod
     def cost_function(records_in, records_out, distance):
+        """Return cost function between obs to associate
+        ```python
+        CF = sqrt ( [( amplitude_in - amplitude_out)/amplitude_in]^2 +
+                    [( speed_radius_in - speed_radius_out)/speed_radius_in]^2 +
+                    [ distance / 125]^2 )
+        ```
+
+        :param records_in: starting observations
+        :param records_out: observations to associate
+        :param distance: computed between in and out
+
+        """
         cost = (
             (records_in["amplitude"] - records_out["amplitude"])
             / records_in["amplitude"]
@@ -1052,6 +1087,7 @@ def solve_conflict(cost):
 
     @staticmethod
     def solve_simultaneous(cost):
+        """Write something"""
         mask = ~cost.mask
         # Count number of link by self obs and other obs
         self_links = mask.sum(axis=1)
@@ -1423,9 +1459,12 @@ def set_global_attr_netcdf(self, h_nc):
 
     def extract_with_area(self, area, **kwargs):
         """
-        Extract with a bounding box
+        Extract geographically with a bounding box
 
         :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
+        ```python
+        area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
+        ```
         :param dict kwargs: look at :py:meth:`extract_with_mask`
         :return: Return all eddy tracks which are in bounds
         :rtype: EddiesObservations
@@ -1446,6 +1485,12 @@ def extract_with_mask(self, mask):
         :return: same object with selected observations
         :rtype: self
         """
+        # ça n'existe plus ça??
+        # full_path=False,
+        # remove_incomplete=False,
+        # compress_id=False,
+        # reject_virtual=False
+
         nb_obs = mask.sum()
         new = self.__class__.new_like(self, nb_obs)
         new.sign_type = self.sign_type
@@ -1460,10 +1505,10 @@ def extract_with_mask(self, mask):
 
     def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         """
-        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str,None name:
-            var which will be use to fill contour, if None all element of collection will have same color
-        :param float,None ref: if define use like west bound
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param str, None name:
+            variable used to fill the contour, if None all elements have the same color
+        :param float, None ref: if define use like west bound ?
         :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
         :return: scatter mappable
@@ -1492,14 +1537,14 @@ def filled(
         **kwargs,
     ):
         """
-        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param str,array varname, None: var which will be use to fill contour, or an array of same size of obs
-        :param float,None ref: if define use like west bound
-        :param bool intern: if True draw speed contour instead of effective contour
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param str,array varname, None: variable used to fill the contours, or an array of same size than obs
+        :param float,None ref: if define use like west bound?
+        :param bool intern: if True draw speed contours instead of effective contours
         :param str cmap: matplotlib colormap name
-        :param int,None lut: Number of division of colormaps
-        :param float,None vmin:
-        :param float,None vmax:
+        :param int,None lut: Number of colors in the colormap
+        :param float,None vmin: Min value of the colorbar
+        :param float,None vmax: Max value of the colorbar
         :param float factor: multiply value by
         :return: Collection drawed
         :rtype: matplotlib.collections.PolyCollection
@@ -1535,10 +1580,10 @@ def filled(
 
     def bins_stat(self, xname, bins=None, yname=None, method=None):
         """
-        :param str,array xname: var which will be use
-        :param array, None bins: bins to perform statistics,if None method will get min and max of variable
-        :param None,str yname: var which will be use to apply method
-        :param None,str method: If None method count in each bin, could also do mean, std
+        :param str,array xname: variable to compute stats on
+        :param array, None bins: bins to perform statistics, if None bins = arange(variable.min(), variable.max() + 2)
+        :param None,str yname: variable used to apply method
+        :param None,str method: If None method counts the number of observations in each bin, can be "mean", "std"
         :return: x array and y array
         :rtype: array,array
 
@@ -1558,12 +1603,12 @@ def bins_stat(self, xname, bins=None, yname=None, method=None):
     def display(
         self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
     ):
-        """
-        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
-        :param float,None ref: if define use like west bound
-        :param bool extern_only: if True draw effective contour only
-        :param bool intern_only: if True draw speed contour only
-        :param bool nobs: if True add number of eddies in label
+        """Plot the speed and effective (dashed) contour of the eddies
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param float,None ref: western longitude reference used
+        :param bool extern_only: if True, draw only the effective contour
+        :param bool intern_only: if True, draw only the speed contour
+        :param bool nobs: if True, add the number of eddies in label
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.plot`
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.display
@@ -1591,7 +1636,7 @@ def display(
 
     def first_obs(self):
         """
-        Get first obs of each tracks.
+        Get first obs of each trajectory.
 
         :rtype: __class__
 
@@ -1601,7 +1646,7 @@ def first_obs(self):
 
     def last_obs(self):
         """
-        Get Last obs of each tracks.
+        Get Last obs of each trajectory.
 
         :rtype: __class__
 
@@ -1614,10 +1659,10 @@ def last_obs(self):
 
     def is_convex(self, intern=False):
         """
-        Get flag of eddy convexity
+        Get flag of the eddy's convexity
 
-        :param bool intern: If true use speed contour instead of effective contour
-        :return: true if contour is convex
+        :param bool intern: If True use speed contour instead of effective contour
+        :return: True if the contour is convex
         :rtype: array[bool]
         """
         xname, yname = self.intern(intern)
@@ -1625,7 +1670,7 @@ def is_convex(self, intern=False):
 
     def inside(self, x, y, intern=False):
         """
-        True for each postion inside an eddy
+        True for each point inside the effective contour of an eddy
 
         :param array x: longitude
         :param array y: latitude
@@ -1638,12 +1683,12 @@ def inside(self, x, y, intern=False):
 
     def grid_count(self, bins, intern=False, center=False):
         """
-        Compute count of eddies in each bin (use of all pixel in each contour)
+        Count the eddies in each bin (use all pixels in each contour)
 
-        :param (numpy.array,numpy.array) bins: bins to compute count
+        :param (numpy.array,numpy.array) bins: bins (grid) to count
         :param bool intern: if True use speed contour only
         :param bool center: if True use of center to count
-        :return: return grid of count
+        :return: return the grid of counts
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.grid_count
@@ -1662,7 +1707,7 @@ def grid_count(self, bins, intern=False, center=False):
                 lat=(y_bins[1:] + y_bins[:-1]) / 2,
             ),
             variables_description=dict(
-                count=dict(long_name="Number of times pixel is in eddies")
+                count=dict(long_name="Number of times the pixel is within an eddy")
             ),
             centered=True,
         )
@@ -1690,9 +1735,9 @@ def grid_box_stat(self, bins, varname, method=50, data=None):
         """
             Compute mean of eddies in each bin
 
-            :param (numpy.array,numpy.array) bins: bins to compute count
-            :param str varname: name of variable to compute mean
-            :param str,float method: method to apply at each set
+            :param (numpy.array,numpy.array) bins: bins (grid) to count
+            :param str varname: variable to apply the method
+            :param str,float method: method to apply. If float, use ?
             :param array data: Array used to compute stat if defined
             :return: return grid of method
             :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
@@ -1733,12 +1778,12 @@ def grid_box_stat(self, bins, varname, method=50, data=None):
 
     def grid_stat(self, bins, varname, data=None):
         """
-        Compute mean of eddies in each bin
+        Return the mean of the eddies' variable in each bin
 
-        :param (numpy.array,numpy.array) bins: bins to compute count
-        :param str varname: name of variable to compute mean
+        :param (numpy.array,numpy.array) bins: bins (grid) to compute the mean on
+        :param str varname: name of variable to compute the mean on
         :param array data: Array used to compute stat if defined
-        :return: return grid of mean
+        :return: return the gridde mean variable
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.grid_stat
@@ -1807,7 +1852,7 @@ def interp_grid(
     @property
     def period(self):
         """
-        Give time coverage
+        Give the time coverage
 
         :return: first and last date
         :rtype: (int,int)
@@ -1818,7 +1863,7 @@ def period(self):
 @njit(cache=True)
 def grid_count_(grid, i, j):
     """
-    Add one for each indice
+    Add one to each index
     """
     for i_, j_ in zip(i, j):
         grid[i_, j_] += 1
@@ -1856,12 +1901,12 @@ def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
     """
     Compute method on each set (one set by box)
 
-    :param array_like x_c: longitude coordinate of grid
-    :param array_like y_c: latitude coordinate of grid
-    :param array_like grid: grid to store result of method
-    :param array[bool] mask: grid to store not used box
-    :param array_like x: longitude of positions
-    :param array_like y: latitude of positions
+    :param array_like x_c: grid longitude coordinates
+    :param array_like y_c: grid latitude coordinates
+    :param array_like grid: grid to store the result
+    :param array[bool] mask: grid to store unused boxes
+    :param array_like x: longitude of observations
+    :param array_like y: latitude of observations
     :param array_like value: value to group to apply method
     :param bool circular: True if grid is wrappable
     :param float method: percentile
@@ -1907,10 +1952,10 @@ def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
 @njit(cache=True)
 def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     """
-    Compute mean of grid for each contour
+    Compute the mean or the max of the grid for each contour
 
-    :param array_like x_c: longitude coordinate of grid
-    :param array_like y_c: latitude coordinate of grid
+    :param array_like x_c: the grid longitude coordinates
+    :param array_like y_c: the grid latitude coordinates
     :param array_like grid: grid value
     :param array_like x: longitude of contours
     :param array_like y: latitude of contours

From 3a3a84ba7f2a08b736cef576625ad29e3ca10017 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 2 Nov 2020 12:10:58 +0100
Subject: [PATCH 151/441] Solve docstring python example issue

---
 .../02_eddy_identification/pet_display_id.py  |   8 +-
 .../pet_eddy_detection.py                     |  15 +-
 .../pet_eddy_detection_gulf_stream.py         |  13 +-
 .../pet_filter_and_detection.py               |   2 +-
 .../pet_radius_vs_area.py                     |   4 +-
 .../02_eddy_identification/pet_sla_and_adt.py |  14 +-
 .../pet_hide_pixel_out_eddies.py              |   2 +-
 .../pet_center_count.py                       |   4 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |   4 +-
 .../pet_display_id.ipynb                      |   6 +-
 .../pet_eddy_detection.ipynb                  |  10 +-
 .../pet_eddy_detection_gulf_stream.ipynb      |   6 +-
 .../pet_filter_and_detection.ipynb            |   2 +-
 .../pet_radius_vs_area.ipynb                  |   4 +-
 .../pet_sla_and_adt.ipynb                     |   2 +-
 .../pet_hide_pixel_out_eddies.ipynb           |   2 +-
 .../pet_center_count.ipynb                    |   2 +-
 .../pet_pixel_used.ipynb                      |   2 +-
 src/py_eddy_tracker/__init__.py               |  23 +--
 src/py_eddy_tracker/_version.py               | 154 +++++++++++-------
 src/py_eddy_tracker/appli/gui.py              |   4 +-
 src/py_eddy_tracker/dataset/grid.py           |   4 +-
 src/py_eddy_tracker/eddy_feature.py           |  17 +-
 .../featured_tracking/area_tracker.py         |  13 +-
 .../old_tracker_reference.py                  |  38 +++--
 src/py_eddy_tracker/generic.py                |   2 +-
 src/py_eddy_tracker/observations/network.py   |   4 +-
 .../observations/observation.py               |  73 +++++----
 src/py_eddy_tracker/observations/tracking.py  |   1 -
 src/py_eddy_tracker/tracking.py               |   2 +-
 30 files changed, 257 insertions(+), 180 deletions(-)

diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index 5d061c24..ed364320 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -14,7 +14,7 @@
 c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
 
 # %%
-# Fill effective contour with amplitude 
+# Fill effective contour with amplitude
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
 ax.set_aspect("equal")
@@ -22,10 +22,10 @@
 ax.set_ylim(-80, 0)
 kwargs = dict(extern_only=True, color="k", lw=1)
 a.display(ax, **kwargs), c.display(ax, **kwargs)
-a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
-m = c.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=.5)
+a.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=0.5)
+m = c.filled(ax, "amplitude", cmap="magma_r", vmin=0, vmax=0.5)
 colorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.03, 0.02, 0.94]))
-colorbar.set_label('Amplitude (m)')
+colorbar.set_label("Amplitude (m)")
 
 # %%
 # Draw speed contours
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index ecfe76b6..4a1a5ef5 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -20,7 +20,7 @@ def start_axes(title):
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.set_aspect("equal")
-    ax.set_title(title, weight='bold')
+    ax.set_title(title, weight="bold")
     return ax
 
 
@@ -113,7 +113,11 @@ def update_axes(ax, mappable=None):
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
 g.contours.display(
-    ax, only_contain_eddies=True, color="k", lw=1, label="Could be a contour of interaction"
+    ax,
+    only_contain_eddies=True,
+    color="k",
+    lw=1,
+    label="Could be a contour of interaction",
 )
 a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
@@ -123,7 +127,8 @@ def update_axes(ax, mappable=None):
 # %%
 # Output
 # ------
-# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of
+# the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
 ax = start_axes("Detected Eddies")
 a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
@@ -135,7 +140,9 @@ def update_axes(ax, mappable=None):
 # Display the speed radius of the detected eddies
 ax = start_axes("Speed Radius (km)")
 a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
-m = c.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
+m = c.scatter(
+    ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001
+)
 update_axes(ax, m)
 
 # %%
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index b2dd562c..25a460e1 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -54,7 +54,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Get geostrophic speed u,v
-# -------
+# -------------------------
 # U/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2°)
 g.add_uv("adt")
 
@@ -91,7 +91,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Post analysis
-# ------------
+# -------------
 # Contours can be rejected for several reasons (shape error to high, several extremum in contour, ...)
 ax = start_axes("ADT rejected contours")
 g.contours.display(ax, only_unused=True, lw=0.25)
@@ -123,7 +123,11 @@ def update_axes(ax, mappable=None):
 g.contours.label_contour_unused_which_contain_eddies(a)
 g.contours.label_contour_unused_which_contain_eddies(c)
 g.contours.display(
-    ax, only_contain_eddies=True, color="k", lw=1, label="Could be a contour of interaction"
+    ax,
+    only_contain_eddies=True,
+    color="k",
+    lw=1,
+    label="Could be a contour of interaction",
 )
 a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
 c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
@@ -133,7 +137,8 @@ def update_axes(ax, mappable=None):
 # %%
 # Output
 # ------
-# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
+# When displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the
+# maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
 ax = start_axes("Eddies detected")
 a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 03c163bf..bcd72881 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -57,7 +57,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Amplitude and Speed Radius distributions
-# -----------------------
+# ----------------------------------------
 fig = plt.figure(figsize=(12, 5))
 ax_a = fig.add_subplot(121, xlabel="Amplitude (cm)")
 ax_r = fig.add_subplot(122, xlabel="Speed Radius (km)")
diff --git a/examples/02_eddy_identification/pet_radius_vs_area.py b/examples/02_eddy_identification/pet_radius_vs_area.py
index a6c6c739..ce94fc25 100644
--- a/examples/02_eddy_identification/pet_radius_vs_area.py
+++ b/examples/02_eddy_identification/pet_radius_vs_area.py
@@ -32,7 +32,7 @@
 ax.grid()
 ax.set_xlabel("Speed radius computed with fit_circle")
 ax.set_ylabel("Radius deduced from area\nof contour_lon_s/contour_lat_s")
-ax.set_title('Area vs radius')
+ax.set_title("Area vs radius")
 ax.plot(a["radius_s"] / 1000.0, (areas / pi) ** 0.5 / 1000.0, ".")
 ax.plot((0, 250), (0, 250), "r")
 
@@ -46,4 +46,4 @@
 ax.set_xlabel("Radius ratio")
 ax.set_ylabel("Shape error")
 ax.set_title("err = f(radius_ratio)")
-ax.plot(a["radius_s"] / (areas / pi) ** .5 , a['shape_error_s'], ".")
+ax.plot(a["radius_s"] / (areas / pi) ** 0.5, a["shape_error_s"], ".")
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index b7024df8..ee9f97ff 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -133,8 +133,18 @@ def update_axes(ax, mappable=None):
     ax.set_xlabel("Absolute Dynamic Topography")
     ax.set_ylabel("Sea Level Anomaly")
 
-    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, "r.", label='Anticyclonic')
-    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, "b.", label='Cyclonic')
+    ax.plot(
+        a_adt[field][i_a_adt] * factor,
+        a_sla[field][i_a_sla] * factor,
+        "r.",
+        label="Anticyclonic",
+    )
+    ax.plot(
+        c_adt[field][i_c_adt] * factor,
+        c_sla[field][i_c_sla] * factor,
+        "b.",
+        label="Cyclonic",
+    )
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
     ax.set_xlim(0, stop), ax.set_ylim(0, stop)
diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
index 2c007dfa..00c9c665 100644
--- a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -34,7 +34,7 @@
 # We will used the outter contour
 x_name, y_name = a.intern(False)
 adt = g.grid("adt")
-mask = ones(adt.shape, dtype='bool')
+mask = ones(adt.shape, dtype="bool")
 for eddy in a:
     i, j = Path(create_vertice(eddy[x_name], eddy[y_name])).pixels_in(g)
     mask[i, j] = False
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 3b2a4c81..1c113a43 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -58,7 +58,9 @@
 cb.set_label("Eddies by 1°^2 by day")
 
 g_c.vars["count"] = ratio
-m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')
+m = g_c.display(
+    ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap="coolwarm_r"
+)
 plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))
 
 for ax in (ax_a, ax_c, ax_all, ax_ratio):
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 53c9bb3e..912eeb3c 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -54,7 +54,9 @@
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))
 
 g_c.vars["count"] = ratio
-m = g_c.display(ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')
+m = g_c.display(
+    ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap="coolwarm_r"
+)
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))
 
 for ax in (ax_a, ax_c, ax_all, ax_ratio):
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index fc22f34b..e68e86e0 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Fill effective contour with amplitude \n\n"
+        "Fill effective contour with amplitude\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.03, 0.02, 0.94]))\ncolorbar.set_label('Amplitude (m)')"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 140)\nax.set_ylim(-80, 0)\nkwargs = dict(extern_only=True, color=\"k\", lw=1)\na.display(ax, **kwargs), c.display(ax, **kwargs)\na.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=0.5)\nm = c.filled(ax, \"amplitude\", cmap=\"magma_r\", vmin=0, vmax=0.5)\ncolorbar = plt.colorbar(m, cax=ax.figure.add_axes([0.95, 0.03, 0.02, 0.94]))\ncolorbar.set_label(\"Amplitude (m)\")"
       ]
     },
     {
@@ -129,7 +129,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 18412d39..73c58bec 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight='bold')\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -217,14 +217,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be a contour of interaction\"\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax,\n    only_contain_eddies=True,\n    color=\"k\",\n    lw=1,\n    label=\"Could be a contour of interaction\",\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of\nthe maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
@@ -253,7 +253,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Speed Radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nm = c.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Speed Radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nm = c.scatter(\n    ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001\n)\nupdate_axes(ax, m)"
       ]
     },
     {
@@ -291,7 +291,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 644171bd..6af2e76b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -217,14 +217,14 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax, only_contain_eddies=True, color=\"k\", lw=1, label=\"Could be a contour of interaction\"\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"ADT rejected contours containing eddies\")\ng.contours.label_contour_unused_which_contain_eddies(a)\ng.contours.label_contour_unused_which_contain_eddies(c)\ng.contours.display(\n    ax,\n    only_contain_eddies=True,\n    color=\"k\",\n    lw=1,\n    label=\"Could be a contour of interaction\",\n)\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
+        "## Output\nWhen displaying the detected eddies, dashed lines are for effective contour, solide lines for the contour of the\nmaximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1\n\n"
       ]
     },
     {
@@ -273,7 +273,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 5a1e173c..6ad1d35b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
index 20ce8467..00b57049 100644
--- a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = plt.subplot(111)\nax.set_aspect(\"equal\")\nax.grid()\nax.set_xlabel(\"Speed radius computed with fit_circle\")\nax.set_ylabel(\"Radius deduced from area\\nof contour_lon_s/contour_lat_s\")\nax.set_title('Area vs radius')\nax.plot(a[\"radius_s\"] / 1000.0, (areas / pi) ** 0.5 / 1000.0, \".\")\nax.plot((0, 250), (0, 250), \"r\")"
+        "ax = plt.subplot(111)\nax.set_aspect(\"equal\")\nax.grid()\nax.set_xlabel(\"Speed radius computed with fit_circle\")\nax.set_ylabel(\"Radius deduced from area\\nof contour_lon_s/contour_lat_s\")\nax.set_title(\"Area vs radius\")\nax.plot(a[\"radius_s\"] / 1000.0, (areas / pi) ** 0.5 / 1000.0, \".\")\nax.plot((0, 250), (0, 250), \"r\")"
       ]
     },
     {
@@ -87,7 +87,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = plt.subplot(111)\nax.grid()\nax.set_xlabel(\"Radius ratio\")\nax.set_ylabel(\"Shape error\")\nax.set_title(\"err = f(radius_ratio)\")\nax.plot(a[\"radius_s\"] / (areas / pi) ** .5 , a['shape_error_s'], \".\")"
+        "ax = plt.subplot(111)\nax.grid()\nax.set_xlabel(\"Radius ratio\")\nax.set_ylabel(\"Shape error\")\nax.set_title(\"err = f(radius_ratio)\")\nax.plot(a[\"radius_s\"] / (areas / pi) ** 0.5, a[\"shape_error_s\"], \".\")"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 7015691a..9e37e38f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -203,7 +203,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Absolute Dynamic Topography\")\n    ax.set_ylabel(\"Sea Level Anomaly\")\n\n    ax.plot(a_adt[field][i_a_adt] * factor, a_sla[field][i_a_sla] * factor, \"r.\", label='Anticyclonic')\n    ax.plot(c_adt[field][i_c_adt] * factor, c_sla[field][i_c_sla] * factor, \"b.\", label='Cyclonic')\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()"
+        "fig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a_adt.shape[0]}, C : {i_c_adt.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 80),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Absolute Dynamic Topography\")\n    ax.set_ylabel(\"Sea Level Anomaly\")\n\n    ax.plot(\n        a_adt[field][i_a_adt] * factor,\n        a_sla[field][i_a_sla] * factor,\n        \"r.\",\n        label=\"Anticyclonic\",\n    )\n    ax.plot(\n        c_adt[field][i_c_adt] * factor,\n        c_sla[field][i_c_sla] * factor,\n        \"b.\",\n        label=\"Cyclonic\",\n    )\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index b3c6ff93..b1c2b6dd 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\n# We will used the outter contour\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype='bool')\nfor eddy in a:\n    i, j = Path(create_vertice(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\n# We will used the outter contour\nx_name, y_name = a.intern(False)\nadt = g.grid(\"adt\")\nmask = ones(adt.shape, dtype=\"bool\")\nfor eddy in a:\n    i, j = Path(create_vertice(eddy[x_name], eddy[y_name])).pixels_in(g)\n    mask[i, j] = False\nadt.mask[:] += ~mask\ng.display(ax, \"adt\")\na.display(ax, label=\"Anticyclonic\", color=\"g\", lw=1, extern_only=True)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 1d130b23..d60b4ba0 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index dfeebc67..11a1ed23 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap='coolwarm_r')\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 04324267..57ba756c 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -148,12 +148,9 @@ def parse_args(self, *args, **kwargs):
         nc_name="distance_next",
         nc_type="float32",
         output_type="uint16",
-        scale_factor=50.,
+        scale_factor=50.0,
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Distance to next position",
-            units='m',
-        ),
+        nc_attr=dict(long_name="Distance to next position", units="m",),
     ),
     virtual=dict(
         attr_name=None,
@@ -305,18 +302,14 @@ def parse_args(self, *args, **kwargs):
         nc_name="i",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Longitude index in the grid of the detection",
-        ),
+        nc_attr=dict(long_name="Longitude index in the grid of the detection",),
     ),
     j=dict(
         attr_name="j",
         nc_name="j",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Latitude index in the grid of the detection",
-        ),
+        nc_attr=dict(long_name="Latitude index in the grid of the detection",),
     ),
     eke=dict(
         attr_name="eke",
@@ -355,7 +348,7 @@ def parse_args(self, *args, **kwargs):
             long_name="Speed Radius",
             units="m",
             comment="Radius of a circle whose area is equal to that "
-                    "enclosed by the contour of maximum circum-average speed",
+            "enclosed by the contour of maximum circum-average speed",
         ),
     ),
     track=dict(
@@ -365,8 +358,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Trajectory number",
-            comment="Trajectory identification number",
+            long_name="Trajectory number", comment="Trajectory identification number",
         ),
     ),
     sub_track=dict(
@@ -375,8 +367,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Segment Number",
-            comment="Segment number inside a group",
+            long_name="Segment Number", comment="Segment number inside a group",
         ),
     ),
     n=dict(
diff --git a/src/py_eddy_tracker/_version.py b/src/py_eddy_tracker/_version.py
index aadd0910..44367e3a 100644
--- a/src/py_eddy_tracker/_version.py
+++ b/src/py_eddy_tracker/_version.py
@@ -1,4 +1,3 @@
-
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
@@ -58,17 +57,18 @@ class NotThisMethod(Exception):
 
 def register_vcs_handler(vcs, method):  # decorator
     """Decorator to mark a method as the handler for a particular VCS."""
+
     def decorate(f):
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
         HANDLERS[vcs][method] = f
         return f
+
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None):
     """Call the given command(s)."""
     assert isinstance(commands, list)
     p = None
@@ -76,10 +76,13 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         try:
             dispcmd = str([c] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            p = subprocess.Popen(
+                [c] + args,
+                cwd=cwd,
+                env=env,
+                stdout=subprocess.PIPE,
+                stderr=(subprocess.PIPE if hide_stderr else None),
+            )
             break
         except EnvironmentError:
             e = sys.exc_info()[1]
@@ -116,16 +119,22 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     for i in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
-            return {"version": dirname[len(parentdir_prefix):],
-                    "full-revisionid": None,
-                    "dirty": False, "error": None, "date": None}
+            return {
+                "version": dirname[len(parentdir_prefix) :],
+                "full-revisionid": None,
+                "dirty": False,
+                "error": None,
+                "date": None,
+            }
         else:
             rootdirs.append(root)
             root = os.path.dirname(root)  # up a level
 
     if verbose:
-        print("Tried directories %s but none started with prefix %s" %
-              (str(rootdirs), parentdir_prefix))
+        print(
+            "Tried directories %s but none started with prefix %s"
+            % (str(rootdirs), parentdir_prefix)
+        )
     raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
 
 
@@ -181,7 +190,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)])
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -190,7 +199,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = set([r for r in refs if re.search(r"\d", r)])
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -198,19 +207,26 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     for ref in sorted(tags):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix):]
+            r = ref[len(tag_prefix) :]
             if verbose:
                 print("picking %s" % r)
-            return {"version": r,
-                    "full-revisionid": keywords["full"].strip(),
-                    "dirty": False, "error": None,
-                    "date": date}
+            return {
+                "version": r,
+                "full-revisionid": keywords["full"].strip(),
+                "dirty": False,
+                "error": None,
+                "date": date,
+            }
     # no suitable tags, so version is "0+unknown", but full hex is still there
     if verbose:
         print("no suitable tags, using unknown + full revision id")
-    return {"version": "0+unknown",
-            "full-revisionid": keywords["full"].strip(),
-            "dirty": False, "error": "no suitable tags", "date": None}
+    return {
+        "version": "0+unknown",
+        "full-revisionid": keywords["full"].strip(),
+        "dirty": False,
+        "error": "no suitable tags",
+        "date": None,
+    }
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
@@ -225,8 +241,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -234,10 +249,19 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = run_command(
+        GITS,
+        [
+            "describe",
+            "--tags",
+            "--dirty",
+            "--always",
+            "--long",
+            "--match",
+            "%s*" % tag_prefix,
+        ],
+        cwd=root,
+    )
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
@@ -260,17 +284,16 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     dirty = git_describe.endswith("-dirty")
     pieces["dirty"] = dirty
     if dirty:
-        git_describe = git_describe[:git_describe.rindex("-dirty")]
+        git_describe = git_describe[: git_describe.rindex("-dirty")]
 
     # now we have TAG-NUM-gHEX or HEX
 
     if "-" in git_describe:
         # TAG-NUM-gHEX
-        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
+        mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe)
         if not mo:
             # unparseable. Maybe git-describe is misbehaving?
-            pieces["error"] = ("unable to parse git-describe output: '%s'"
-                               % describe_out)
+            pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out
             return pieces
 
         # tag
@@ -279,10 +302,12 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
             if verbose:
                 fmt = "tag '%s' doesn't start with prefix '%s'"
                 print(fmt % (full_tag, tag_prefix))
-            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
-                               % (full_tag, tag_prefix))
+            pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % (
+                full_tag,
+                tag_prefix,
+            )
             return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix):]
+        pieces["closest-tag"] = full_tag[len(tag_prefix) :]
 
         # distance: number of commits since tag
         pieces["distance"] = int(mo.group(2))
@@ -293,13 +318,13 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
+        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
         pieces["distance"] = int(count_out)  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[
+        0
+    ].strip()
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
@@ -330,8 +355,7 @@ def render_pep440(pieces):
                 rendered += ".dirty"
     else:
         # exception #1
-        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
-                                          pieces["short"])
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"])
         if pieces["dirty"]:
             rendered += ".dirty"
     return rendered
@@ -445,11 +469,13 @@ def render_git_describe_long(pieces):
 def render(pieces, style):
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
-        return {"version": "unknown",
-                "full-revisionid": pieces.get("long"),
-                "dirty": None,
-                "error": pieces["error"],
-                "date": None}
+        return {
+            "version": "unknown",
+            "full-revisionid": pieces.get("long"),
+            "dirty": None,
+            "error": pieces["error"],
+            "date": None,
+        }
 
     if not style or style == "default":
         style = "pep440"  # the default
@@ -469,9 +495,13 @@ def render(pieces, style):
     else:
         raise ValueError("unknown style '%s'" % style)
 
-    return {"version": rendered, "full-revisionid": pieces["long"],
-            "dirty": pieces["dirty"], "error": None,
-            "date": pieces.get("date")}
+    return {
+        "version": rendered,
+        "full-revisionid": pieces["long"],
+        "dirty": pieces["dirty"],
+        "error": None,
+        "date": pieces.get("date"),
+    }
 
 
 def get_versions():
@@ -485,8 +515,7 @@ def get_versions():
     verbose = cfg.verbose
 
     try:
-        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
-                                          verbose)
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose)
     except NotThisMethod:
         pass
 
@@ -495,13 +524,16 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for i in cfg.versionfile_source.split("/"):
             root = os.path.dirname(root)
     except NameError:
-        return {"version": "0+unknown", "full-revisionid": None,
-                "dirty": None,
-                "error": "unable to find root of source tree",
-                "date": None}
+        return {
+            "version": "0+unknown",
+            "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to find root of source tree",
+            "date": None,
+        }
 
     try:
         pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
@@ -515,6 +547,10 @@ def get_versions():
     except NotThisMethod:
         pass
 
-    return {"version": "0+unknown", "full-revisionid": None,
-            "dirty": None,
-            "error": "unable to compute version", "date": None}
+    return {
+        "version": "0+unknown",
+        "full-revisionid": None,
+        "dirty": None,
+        "error": "unable to compute version",
+        "date": None,
+    }
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index a944ecc6..9e6c505a 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -15,7 +15,9 @@
 
 
 class Anim:
-    def __init__(self, eddy, intern=False, sleep_event=0.1, graphic_information=False, **kwargs):
+    def __init__(
+        self, eddy, intern=False, sleep_event=0.1, graphic_information=False, **kwargs
+    ):
         self.eddy = eddy
         x_name, y_name = eddy.intern(intern)
         self.t, self.x, self.y = eddy.time, eddy[x_name], eddy[y_name]
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 5d55cf8b..eaade53d 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1806,9 +1806,7 @@ def display(self, ax, name, factor=1, **kwargs):
         if "cmap" not in kwargs:
             kwargs["cmap"] = "coolwarm"
         data = self.grid(name) if isinstance(name, str) else name
-        return ax.pcolormesh(
-            self.x_bounds, self.y_bounds, data.T * factor, **kwargs
-        )
+        return ax.pcolormesh(self.x_bounds, self.y_bounds, data.T * factor, **kwargs)
 
     def contour(self, ax, name, factor=1, **kwargs):
         """
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 5b22b010..14b82375 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -45,7 +45,16 @@ class Amplitude(object):
         "mle",
     )
 
-    def __init__(self, contour, contour_height, data, interval, mle=1, nb_step_min=2, nb_step_to_be_mle=2):
+    def __init__(
+        self,
+        contour,
+        contour_height,
+        data,
+        interval,
+        mle=1,
+        nb_step_min=2,
+        nb_step_to_be_mle=2,
+    ):
         """
         Create amplitude object
 
@@ -132,7 +141,8 @@ def all_pixels_below_h0(self, level):
             else:
                 # Verify if several extrema are seriously below contour
                 nb_real_extrema = (
-                    (level - self.grid_extract.data[lmi_i, lmi_j]) >= self.interval_min_secondary
+                    (level - self.grid_extract.data[lmi_i, lmi_j])
+                    >= self.interval_min_secondary
                 ).sum()
                 if nb_real_extrema > self.mle:
                     return False
@@ -174,7 +184,8 @@ def all_pixels_above_h0(self, level):
             else:
                 # Verify if several extrema are seriously above contour
                 nb_real_extrema = (
-                    (self.grid_extract.data[lmi_i, lmi_j] - level) >= self.interval_min_secondary
+                    (self.grid_extract.data[lmi_i, lmi_j] - level)
+                    >= self.interval_min_secondary
                 ).sum()
                 if nb_real_extrema > self.mle:
                     return False
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index b799b47b..b475f52c 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -6,10 +6,9 @@
 
 
 class AreaTracker(Model):
-
     @classmethod
     def needed_variable(cls):
-        vars = ['longitude', 'latitude']
+        vars = ["longitude", "latitude"]
         vars.extend(cls.intern(False, public_label=True))
         return vars
 
@@ -18,7 +17,7 @@ def tracking(self, other):
         i, j, c = self.match(other, intern=False)
         cost_mat = ma.empty(shape, dtype="f4")
         cost_mat.mask = ma.ones(shape, dtype="bool")
-        m = c > .2
+        m = c > 0.2
         i, j, c = i[m], j[m], c[m]
         cost_mat[i, j] = 1 - c
 
@@ -27,8 +26,12 @@ def tracking(self, other):
         logger.debug("%d matched with previous", i_self.shape[0])
         return i_self, i_other, cost_mat[i_self, i_other]
 
-    def propagate(self, previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model):
-        virtual = super().propagate(previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model)
+    def propagate(
+        self, previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model
+    ):
+        virtual = super().propagate(
+            previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model
+        )
         nb_dead = len(previous_obs)
         nb_virtual_extend = nb_next - nb_dead
         for key in model.elements:
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 4ee3dd16..b9381e4a 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -6,7 +6,9 @@
 
 
 class CheltonTracker(Model):
-    GROUND = RegularGridDataset(path.join(path.dirname(__file__), '../data/mask_1_60.nc'), 'lon', 'lat')
+    GROUND = RegularGridDataset(
+        path.join(path.dirname(__file__), "../data/mask_1_60.nc"), "lon", "lat"
+    )
 
     @staticmethod
     def cost_function(records_in, records_out, distance):
@@ -20,7 +22,7 @@ def mask_function(self, other, distance):
         # Compute Parameter of ellips
         minor, major = 1.05, 1.5
         y = self.basic_formula_ellips_major_axis(
-            self.obs['lat'],
+            self.obs["lat"],
             degrees=True,
             c0=minor,
             cmin=minor,
@@ -30,28 +32,32 @@ def mask_function(self, other, distance):
         )
         # mask from ellips
         mask = self.shifted_ellipsoid_degrees_mask(
-            other,
-            minor=minor,  # Minor can be bigger than major??
-            major=y)
+            other, minor=minor, major=y  # Minor can be bigger than major??
+        )
 
         # We check ratio (maybe not usefull)
-        check_ratio(mask, self.obs['amplitude'], other.obs['amplitude'], self.obs['radius_e'], other.obs['radius_e'])
+        check_ratio(
+            mask,
+            self.obs["amplitude"],
+            other.obs["amplitude"],
+            self.obs["radius_e"],
+            other.obs["radius_e"],
+        )
         indexs_closest = where(mask)
-        mask[indexs_closest] = self.across_ground(self.obs[indexs_closest[0]], other.obs[indexs_closest[1]])
+        mask[indexs_closest] = self.across_ground(
+            self.obs[indexs_closest[0]], other.obs[indexs_closest[1]]
+        )
         return mask
 
     @classmethod
     def across_ground(cls, record0, record1):
         i, j, d_pix = cls.GROUND.compute_pixel_path(
-            x0=record0['lon'],
-            y0=record0['lat'],
-            x1=record1['lon'],
-            y1=record1['lat'],
+            x0=record0["lon"], y0=record0["lat"], x1=record1["lon"], y1=record1["lat"],
         )
 
-        data = cls.GROUND.grid('mask')[i, j]
+        data = cls.GROUND.grid("mask")[i, j]
         i_ground = unique(arange(len(record0)).repeat(d_pix + 1)[data == 1])
-        mask = ones(record1.shape, dtype='bool')
+        mask = ones(record1.shape, dtype="bool")
         mask[i_ground] = False
         return mask
 
@@ -70,7 +76,7 @@ def post_process_link(self, other, i_self, i_other):
             for i in where(nb_link > 1)[0]:
                 m = i == i_other
                 multiple_in = i_self[m]
-                i_keep = self.obs['amplitude'][multiple_in].argmax()
+                i_keep = self.obs["amplitude"][multiple_in].argmax()
                 m[where(m)[0][i_keep]] = False
                 mask[m] = False
 
@@ -80,7 +86,9 @@ def post_process_link(self, other, i_self, i_other):
 
 
 @njit(cache=True)
-def check_ratio(current_mask, self_amplitude, other_amplitude, self_radius, other_radius):
+def check_ratio(
+    current_mask, self_amplitude, other_amplitude, self_radius, other_radius
+):
     """
     Only very few case are remove with selection
 
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 67fec16c..3537845d 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -41,7 +41,7 @@ def count_consecutive(mask):
         if not mask[i]:
             count = 0
             continue
-        count +=1
+        count += 1
         output[i] = count
     return output
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 7374d017..1bbe8ec8 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -115,8 +115,8 @@ def build_dataset(self, group):
             i = stop
         if display_iteration:
             print()
-        eddies = eddies.add_fields(('track',))
-        eddies.obs['track'][new_i] = group
+        eddies = eddies.add_fields(("track",))
+        eddies.obs["track"][new_i] = group
         return eddies
 
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 4544b859..40a1c3d5 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -3,7 +3,18 @@
 Base class to manage eddy observation
 """
 import logging
+from datetime import datetime
+from tarfile import ExFileObject
+from tokenize import TokenError
+
 import zarr
+from Polygon import Polygon
+from matplotlib.cm import get_cmap
+from matplotlib.collections import PolyCollection
+from matplotlib.colors import Normalize
+from matplotlib.path import Path as BasePath
+from netCDF4 import Dataset
+from numba import njit, types as numba_types
 from numpy import (
     zeros,
     where,
@@ -29,18 +40,9 @@
     digitize,
     percentile,
 )
-from netCDF4 import Dataset
-from datetime import datetime
-from numba import njit, types as numba_types
-from Polygon import Polygon
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
-from tokenize import TokenError
-from tarfile import ExFileObject
-from matplotlib.path import Path as BasePath
-from matplotlib.collections import PolyCollection
-from matplotlib.cm import get_cmap
-from matplotlib.colors import Normalize
+
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
 from ..generic import (
     distance_grid,
@@ -548,20 +550,19 @@ def zarr_dimension(filename):
     def load_file(cls, filename, **kwargs):
         """
         Load the netcdf or the zarr file
+
         Load only latitude and longitude on the first 300 obs :
 
-        ```python
-        kwargs_latlon_300 = dict(
-            include_vars=[
-            "longitude",
-            "latitude",
-            ],
-            indexs=dict(obs=slice(0, 300)),
-        )
-        small_dataset = TrackEddiesObservations.load_file(
-            nc_file.nc,
-            **kwargs_latlon_300)
-        ```
+        .. code-block:: python
+
+            kwargs_latlon_300 = dict(
+                include_vars=[
+                "longitude",
+                "latitude",
+                ],
+                indexs=dict(obs=slice(0, 300)),
+            )
+            small_dataset = TrackEddiesObservations.load_file(filename, **kwargs_latlon_300)
         """
         filename_ = (
             filename.filename if isinstance(filename, ExFileObject) else filename
@@ -895,13 +896,12 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
 
         :param EddiesObservations other: Observations to compare
         :param str method:
-            "overlap": the score is computed with contours;
-            "circle": circles are computed and used for score
+            - "overlap": the score is computed with contours;
+            - "circle": circles are computed and used for score
         :param bool intern: if True, speed contour is used (default = effective contour)
         :param float cmin: 0 < cmin < 1, return only couples with score >= cmin
-        :param dict kwargs: look at :py:meth:`vertice_overlap`
-        :return: return the indexes of the eddies in self coupled with eddies in
-        other and their associated score
+        :param dict kwargs: look at :py:meth:`py_eddy_tracker.poly.vertice_overlap`
+        :return: return the indexes of the eddies in self coupled with eddies in other and their associated score
         :rtype: (array(int), array(int), array(float))
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
@@ -971,11 +971,12 @@ def mask_function(self, other, distance):
     @staticmethod
     def cost_function(records_in, records_out, distance):
         """Return cost function between obs to associate
-        ```python
-        CF = sqrt ( [( amplitude_in - amplitude_out)/amplitude_in]^2 +
-                    [( speed_radius_in - speed_radius_out)/speed_radius_in]^2 +
-                    [ distance / 125]^2 )
-        ```
+
+        .. code-block:: python
+
+            cost = sqrt(((amplitude_in - amplitude_out) / amplitude_in) ** 2 +
+                        ((speed_radius_in - speed_radius_out) / speed_radius_in) ** 2 +
+                        (distance / 125) ** 2)
 
         :param records_in: starting observations
         :param records_out: observations to associate
@@ -1462,13 +1463,14 @@ def extract_with_area(self, area, **kwargs):
         Extract geographically with a bounding box
 
         :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
-        ```python
-        area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
-        ```
         :param dict kwargs: look at :py:meth:`extract_with_mask`
         :return: Return all eddy tracks which are in bounds
         :rtype: EddiesObservations
 
+        .. code-block:: python
+
+            area = dict(llcrnrlon=x0, llcrnrlat=y0, urcrnrlon=x1, urcrnrlat=y1)
+
         .. minigallery:: py_eddy_tracker.EddiesObservations.extract_with_area
         """
         mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
@@ -1604,6 +1606,7 @@ def display(
         self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
     ):
         """Plot the speed and effective (dashed) contour of the eddies
+
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param float,None ref: western longitude reference used
         :param bool extern_only: if True, draw only the effective contour
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index c8de1f52..408a26d5 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -20,7 +20,6 @@
     arctan2,
     radians,
     degrees,
-    tan,
 )
 from datetime import datetime, timedelta
 from numba import njit
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 076f04d2..e254c8f5 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -352,7 +352,7 @@ def track(self):
         kwargs = dict()
         needed_variable = self.class_method.needed_variable()
         if needed_variable is not None:
-            kwargs['include_vars'] = needed_variable
+            kwargs["include_vars"] = needed_variable
         self.swap_dataset(self.datasets[first_dataset - 1], **kwargs)
         # We begin with second file, first one is in previous
         for file_name in self.datasets[first_dataset:]:

From f72b9a625f99d9bdddc796eca470095d49769c61 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 2 Nov 2020 15:18:14 +0100
Subject: [PATCH 152/441] Give direct access to variable for eddies dataset
 i.e. : obj.amplitude return amplitude Could use extern and intern name

---
 .../pet_eddy_detection.py                     |  6 +--
 .../06_grid_manipulation/pet_okubo_weiss.py   |  2 -
 examples/10_tracking_diagnostics/pet_histo.py |  2 +-
 .../pet_eddy_detection.ipynb                  |  2 +-
 .../pet_okubo_weiss.ipynb                     |  2 +-
 .../10_tracking_diagnostics/pet_histo.ipynb   |  2 +-
 .../observations/observation.py               | 42 +++++++++++--------
 7 files changed, 32 insertions(+), 26 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 4a1a5ef5..d380bf28 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -42,7 +42,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Get geostrophic speed u,v
-# -------
+# -------------------------
 # U/V are deduced from ADT, this algortihm is not ok near the equator (~+- 2°)
 g.add_uv("adt")
 ax = start_axes("U/V deduce from ADT (m)")
@@ -82,7 +82,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Post analysis
-# ------------
+# -------------
 # Contours can be rejected for several reasons (shape error to high, several extremum in contour, ...)
 ax = start_axes("ADT rejected contours")
 g.contours.display(ax, only_unused=True)
@@ -149,7 +149,7 @@ def update_axes(ax, mappable=None):
 # Filling the effective radius contours with the effective radius values
 ax = start_axes("Effective Radius (km)")
 kwargs = dict(vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10)
-a.filled(ax, "radius_e", **kwargs)
+a.filled(ax, "effective_radius", **kwargs)
 m = c.filled(
     ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
 )
diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
index f1e389e5..30b51374 100644
--- a/examples/06_grid_manipulation/pet_okubo_weiss.py
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -62,7 +62,6 @@ def update_axes(axes, mappable=None):
 v_y = g.compute_stencil(g.grid("vgos"), vertical=True)
 ow = g.vars["ow"] = (u_x - v_y) ** 2 + (v_x + u_y) ** 2 - (v_x - u_y) ** 2
 
-
 ax = start_axes("Okubo weis")
 m = g.display(ax, "ow", vmin=-1e-10, vmax=1e-10, cmap="bwr")
 update_axes(ax, m)
@@ -84,7 +83,6 @@ def update_axes(axes, mappable=None):
 a.display(ax, **kw_ed), c.display(ax, **kw_ed)
 update_axes(ax, m)
 
-
 # %%
 # Get okubo-weiss mean/min/center in eddies
 plt.figure(figsize=(8, 6))
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index 68050016..d3df936b 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -25,7 +25,7 @@
 
 for x0, name, title, xmax, factor, bins in zip(
     (0.4, 0.72, 0.08),
-    ("radius_s", "speed_average", "amplitude"),
+    ("speed_radius", "speed_average", "amplitude"),
     ("Speed radius (km)", "Speed average (cm/s)", "Amplitude (cm)"),
     (100, 50, 20),
     (0.001, 100, 100),
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 73c58bec..1622da6b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -271,7 +271,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"radius_e\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"effective_radius\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
index 1ae917cc..c9cf82fa 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "u_x = g.compute_stencil(g.grid(\"ugos\"))\nu_y = g.compute_stencil(g.grid(\"ugos\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"vgos\"))\nv_y = g.compute_stencil(g.grid(\"vgos\"), vertical=True)\now = g.vars[\"ow\"] = (u_x - v_y) ** 2 + (v_x + u_y) ** 2 - (v_x - u_y) ** 2\n\n\nax = start_axes(\"Okubo weis\")\nm = g.display(ax, \"ow\", vmin=-1e-10, vmax=1e-10, cmap=\"bwr\")\nupdate_axes(ax, m)"
+        "u_x = g.compute_stencil(g.grid(\"ugos\"))\nu_y = g.compute_stencil(g.grid(\"ugos\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"vgos\"))\nv_y = g.compute_stencil(g.grid(\"vgos\"), vertical=True)\now = g.vars[\"ow\"] = (u_x - v_y) ** 2 + (v_x + u_y) ** 2 - (v_x - u_y) ** 2\n\nax = start_axes(\"Okubo weis\")\nm = g.display(ax, \"ow\", vmin=-1e-10, vmax=1e-10, cmap=\"bwr\")\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index a8c32675..21cf045b 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 7))\n\nfor x0, name, title, xmax, factor, bins in zip(\n    (0.4, 0.72, 0.08),\n    (\"radius_s\", \"speed_average\", \"amplitude\"),\n    (\"Speed radius (km)\", \"Speed average (cm/s)\", \"Amplitude (cm)\"),\n    (100, 50, 20),\n    (0.001, 100, 100),\n    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),\n):\n    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))\n    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)\n    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)\n    ax_hist.set_xticklabels([])\n    ax_hist.set_xlim(0, xmax)\n    ax_hist.grid()\n\n    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))\n    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)\n    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)\n    ax_cum.set_xticklabels([])\n    ax_cum.set_title(title)\n    ax_cum.set_xlim(0, xmax)\n    ax_cum.set_ylim(0, 1)\n    ax_cum.grid()\n\n    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))\n    ax_ratio.set_xlim(0, xmax)\n    ax_ratio.set_ylim(0, 2)\n    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)\n    ax_ratio.axhline(1, color=\"k\")\n    ax_ratio.grid()\n    ax_ratio.set_xlabel(title)\n\nax_cum.set_ylabel(\"Cumulative\\npercent distribution\")\nax_hist.set_ylabel(\"Percent of observations\")\nax_ratio.set_ylabel(\"Ratio percent\\nCyc/Acyc\")\nax_cum.legend()"
+        "fig = plt.figure(figsize=(12, 7))\n\nfor x0, name, title, xmax, factor, bins in zip(\n    (0.4, 0.72, 0.08),\n    (\"speed_radius\", \"speed_average\", \"amplitude\"),\n    (\"Speed radius (km)\", \"Speed average (cm/s)\", \"Amplitude (cm)\"),\n    (100, 50, 20),\n    (0.001, 100, 100),\n    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),\n):\n    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))\n    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)\n    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)\n    ax_hist.set_xticklabels([])\n    ax_hist.set_xlim(0, xmax)\n    ax_hist.grid()\n\n    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))\n    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)\n    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)\n    ax_cum.set_xticklabels([])\n    ax_cum.set_title(title)\n    ax_cum.set_xlim(0, xmax)\n    ax_cum.set_ylim(0, 1)\n    ax_cum.grid()\n\n    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))\n    ax_ratio.set_xlim(0, xmax)\n    ax_ratio.set_ylim(0, 2)\n    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)\n    ax_ratio.axhline(1, color=\"k\")\n    ax_ratio.grid()\n    ax_ratio.set_xlabel(title)\n\nax_cum.set_ylabel(\"Cumulative\\npercent distribution\")\nax_hist.set_ylabel(\"Percent of observations\")\nax_ratio.set_ylabel(\"Ratio percent\\nCyc/Acyc\")\nax_cum.legend()"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 40a1c3d5..64f26d1f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -159,27 +159,11 @@ def __init__(
                 raise Exception("Unknown element : %s" % elt)
         self.observations = zeros(size, dtype=self.dtype)
         self.sign_type = None
-
-    @property
-    def longitude(self):
-        return self.observations["lon"]
-
-    @property
-    def latitude(self):
-        return self.observations["lat"]
-
-    @property
-    def time(self):
-        return self.observations["time"]
-
+ 
     @property
     def tracks(self):
         return self.observations["track"]
 
-    @property
-    def observation_number(self):
-        return self.observations["n"]
-
     @property
     def sign_legend(self):
         return "Cyclonic" if self.sign_type != 1 else "Anticyclonic"
@@ -267,11 +251,35 @@ def __repr__(self):
         Mean effective radius (km): {self.box_display(self.hist('radius_e', 'lat', bins_lat, mean=True) / 1000.)}
         Mean amplitude (cm)       : {self.box_display(self.hist('amplitude', 'lat', bins_lat, mean=True) * 100.)}"""
 
+    def __dir__(self):
+        """Provide method name lookup and completion.
+        """
+        base = set(dir(type(self)))
+        intern_name = set(self.elements)
+        extern_name = set([VAR_DESCR[k]['nc_name'] for k in intern_name])
+        # Must be check in init not here
+        if base & intern_name:
+            logger.warning("Some variable name have a common name with class attrs: %s", base & intern_name)
+        if base & extern_name:
+            logger.warning("Some variable name have a common name with class attrs: %s", base & extern_name)
+        return sorted(base.union(intern_name).union(extern_name))
+
     def __getitem__(self, attr):
         if attr in self.elements:
             return self.observations[attr]
+        elif attr in VAR_DESCR_inv:
+            return self.observations[VAR_DESCR_inv[attr]]
         raise KeyError("%s unknown" % attr)
 
+    def __getattr__(self, attr):
+        if attr in self.elements:
+            return self.observations[attr]
+        elif attr in VAR_DESCR_inv:
+            return self.observations[VAR_DESCR_inv[attr]]
+        raise AttributeError(
+            "{!r} object has no attribute {!r}".format(type(self).__name__, attr)
+        )
+
     @classmethod
     def needed_variable(cls):
         return None

From 1633dfa5ecc2a07fcab4d4977e40ebf599b930e5 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 2 Nov 2020 15:19:01 +0100
Subject: [PATCH 153/441] Add option to add circle contour only for virtual
 observation

---
 src/py_eddy_tracker/observations/observation.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 64f26d1f..750ca1df 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -319,7 +319,7 @@ def add_rotation_type(self):
         new.observations["type_cyc"] = self.sign_type
         return new
 
-    def circle_contour(self):
+    def circle_contour(self, only_virtual=False):
         """
         Set contour as a circle with radius and center data
 
@@ -330,6 +330,8 @@ def circle_contour(self):
         radius_s = "contour_lon_s" in self.obs.dtype.names
         radius_e = "contour_lon_e" in self.obs.dtype.names
         for i, obs in enumerate(self):
+            if only_virtual and not obs["virtual"]:
+                continue
             x, y = obs["lon"], obs["lat"]
             if radius_s:
                 r_s = obs["radius_s"]

From 31abfe8389df28ef4bc5347a75b5627f58992580 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Tue, 3 Nov 2020 11:38:50 +0100
Subject: [PATCH 154/441] documentation improved (#34)

---
 .../pet_filter_and_detection.ipynb            |  2 +-
 .../observations/observation.py               | 69 +++++++++++--------
 2 files changed, 40 insertions(+), 31 deletions(-)

diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 6ad1d35b..5a1e173c 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 750ca1df..ffdf96a6 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -70,7 +70,7 @@
 @njit(cache=True, fastmath=True)
 def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5):
     """
-    work only if major is an array but faster * 6
+    Work only if major is an array but faster * 6
     """
     # c = (major ** 2 - minor ** 2) ** .5 + major
     c = major
@@ -189,7 +189,8 @@ def _repr_html_(self):
         return f"""<b>{infos['nb_obs']} observations from {infos['t0']} to {infos['t1']} </b>"""
 
     def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
-        """
+        """ Build histograms.
+
             :param str varname: variable to use to compute stat
             :param str x: variable to use to know in which bins
             :param array bins:
@@ -216,7 +217,7 @@ def box_display(value):
 
     def __repr__(self):
         """
-        Return general informations on dataset as a string
+        Return general informations on dataset as strings.
 
         :return: informations on datasets
         :rtype: str
@@ -292,7 +293,7 @@ def obs_dimension(cls, handler):
 
     def add_fields(self, fields=list(), array_fields=list()):
         """
-        Add a new field
+        Add a new field.
         """
         nb_obs = self.obs.shape[0]
         new = self.__class__(
@@ -321,7 +322,7 @@ def add_rotation_type(self):
 
     def circle_contour(self, only_virtual=False):
         """
-        Set contour as a circle with radius and center data
+        Set contours as a circles from radius and center data.
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.circle_contour
         """
@@ -346,7 +347,7 @@ def circle_contour(self, only_virtual=False):
 
     @property
     def dtype(self):
-        """Return dtype to build numpy array
+        """Return dtype to build numpy array.
         """
         dtype = list()
         for elt in self.elements:
@@ -363,7 +364,7 @@ def dtype(self):
 
     @property
     def elements(self):
-        """Return all the names of the variables
+        """Return all the names of the variables.
         """
         elements = [i for i in self.ELEMENTS]
         if self.track_array_variables > 0:
@@ -376,7 +377,7 @@ def elements(self):
         return list(set(elements))
 
     def coherence(self, other):
-        """Check coherence between two dataset
+        """Check coherence between two datasets.
         """
         test = self.track_extra_variables == other.track_extra_variables
         test *= self.track_array_variables == other.track_array_variables
@@ -402,7 +403,7 @@ def concatenate(cls, observations):
         return eddies
 
     def merge(self, other):
-        """Merge two dataset
+        """Merge two datasets.
         """
         nb_obs_self = len(self)
         nb_obs = nb_obs_self + len(other)
@@ -424,7 +425,7 @@ def reset(self):
 
     @property
     def obs(self):
-        """Return an array observations
+        """Return observations.
         """
         return self.observations
 
@@ -437,7 +438,7 @@ def __iter__(self):
 
     def iter_on(self, xname, bins=None):
         """
-        Yield observation group for each bin
+        Yield observation group for each bin.
 
         :param str varname:
         :param array bins: bounds of each bin ,
@@ -467,7 +468,7 @@ def iter_on(self, xname, bins=None):
 
     def align_on(self, other, var_name="time", **kwargs):
         """
-        Align the time indexes of two datasets
+        Align the time indexes of two datasets.
         """
         iter_self, iter_other = (
             self.iter_on(var_name, **kwargs),
@@ -486,7 +487,7 @@ def align_on(self, other, var_name="time", **kwargs):
             yield indexs_self, indexs_other, b0_self, b1_self
 
     def insert_observations(self, other, index):
-        """Insert other obs in self at the index
+        """Insert other obs in self at the index.
         """
         if not self.coherence(other):
             raise Exception("Observations with no coherence")
@@ -508,7 +509,7 @@ def insert_observations(self, other, index):
         return self
 
     def append(self, other):
-        """Merge
+        """Merge.
         """
         return self + other
 
@@ -517,7 +518,7 @@ def __add__(self, other):
 
     def distance(self, other):
         """ Use haversine distance for distance matrix between every self and
-        other eddies"""
+        other eddies."""
         return distance_grid(
             self.obs["lon"], self.obs["lat"], other.obs["lon"], other.obs["lat"]
         )
@@ -534,7 +535,7 @@ def new_like(eddies, new_size):
         )
 
     def index(self, index, reverse=False):
-        """Return obs from self at the index
+        """Return obs from self at the index.
         """
         if reverse:
             index = reverse_index(index, len(self))
@@ -559,7 +560,7 @@ def zarr_dimension(filename):
     @classmethod
     def load_file(cls, filename, **kwargs):
         """
-        Load the netcdf or the zarr file
+        Load the netcdf or the zarr file.
 
         Load only latitude and longitude on the first 300 obs :
 
@@ -573,6 +574,10 @@ def load_file(cls, filename, **kwargs):
                 indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(filename, **kwargs_latlon_300)
+        
+        Default **kwargs to load zarr are : raw_data=False, remove_vars=None, include_vars=None
+
+        Default **kwargs to load netcdf are : raw_data=False, remove_vars=None, include_vars=None, indexs=None
         """
         filename_ = (
             filename.filename if isinstance(filename, ExFileObject) else filename
@@ -843,7 +848,7 @@ def propagate(
         self, previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model
     ):
         """
-        Filled virtual obs (C)
+        Filled virtual obs (C).
 
         :param previous_obs: previous obs from current (A)
         :param current_obs: previous obs from virtual (B)
@@ -902,16 +907,17 @@ def intern(flag, public_label=False):
         return labels
 
     def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
-        """Return index and score computed with the chosen method on the effective contour
+        """Return index and score computed on the effective contour.
 
         :param EddiesObservations other: Observations to compare
         :param str method:
             - "overlap": the score is computed with contours;
-            - "circle": circles are computed and used for score
+            - "circle": circles are computed and used for score (TODO)
         :param bool intern: if True, speed contour is used (default = effective contour)
         :param float cmin: 0 < cmin < 1, return only couples with score >= cmin
-        :param dict kwargs: look at :py:meth:`py_eddy_tracker.poly.vertice_overlap`
-        :return: return the indexes of the eddies in self coupled with eddies in other and their associated score
+        :param dict kwargs: look at :py:meth:`vertice_overlap`
+        :return: return the indexes of the eddies in self coupled with eddies in
+        other and their associated score
         :rtype: (array(int), array(int), array(float))
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
@@ -980,13 +986,14 @@ def mask_function(self, other, distance):
 
     @staticmethod
     def cost_function(records_in, records_out, distance):
-        """Return cost function between obs to associate
+        """Return the cost function between two obs.
 
-        .. code-block:: python
+        .. math::
 
-            cost = sqrt(((amplitude_in - amplitude_out) / amplitude_in) ** 2 +
-                        ((speed_radius_in - speed_radius_out) / speed_radius_in) ** 2 +
-                        (distance / 125) ** 2)
+            cost = \sqrt{({Amp_{_{in}} - Amp_{_{out}} \over Amp_{_{in}}}) ^2 +
+              ({Rspeed_{_{in}} - Rspeed_{_{out}} \over Rspeed_{_{in}}}) ^2 + 
+              ({distance \over 125}) ^2
+            }
 
         :param records_in: starting observations
         :param records_out: observations to associate
@@ -1098,7 +1105,7 @@ def solve_conflict(cost):
 
     @staticmethod
     def solve_simultaneous(cost):
-        """Write something"""
+        """Write something (TODO)"""
         mask = ~cost.mask
         # Count number of link by self obs and other obs
         self_links = mask.sum(axis=1)
@@ -1470,7 +1477,7 @@ def set_global_attr_netcdf(self, h_nc):
 
     def extract_with_area(self, area, **kwargs):
         """
-        Extract geographically with a bounding box
+        Extract geographically with a bounding box.
 
         :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
         :param dict kwargs: look at :py:meth:`extract_with_mask`
@@ -1491,7 +1498,7 @@ def extract_with_area(self, area, **kwargs):
 
     def extract_with_mask(self, mask):
         """
-        Extract a subset of observations
+        Extract a subset of observations.
 
         :param array(bool) mask: mask to select observations
         :return: same object with selected observations
@@ -1517,6 +1524,8 @@ def extract_with_mask(self, mask):
 
     def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         """
+        Scatter data.
+
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str, None name:
             variable used to fill the contour, if None all elements have the same color

From f1fc005d041331810a342fac1bba5db3fe655a0d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 3 Nov 2020 16:39:08 +0100
Subject: [PATCH 155/441] Speed up iter_on with numba function

---
 .../observations/observation.py               | 28 +++++++++++--------
 1 file changed, 17 insertions(+), 11 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 750ca1df..37c450c8 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -53,6 +53,7 @@
     reverse_index,
     bbox_indice_regular,
     hist_numba,
+    build_index,
 )
 from ..poly import (
     bbox_intersection,
@@ -159,7 +160,7 @@ def __init__(
                 raise Exception("Unknown element : %s" % elt)
         self.observations = zeros(size, dtype=self.dtype)
         self.sign_type = None
- 
+
     @property
     def tracks(self):
         return self.observations["track"]
@@ -452,18 +453,22 @@ def iter_on(self, xname, bins=None):
         i = digitize(x, bins) - 1
         # Not monotonous
         if (d < 0).any():
-            for i_ in unique(i):
-                if i_ == -1 or i_ == nb_bins:
+            i_sort = i.argsort()
+            i0, i1, _ = build_index(i[i_sort])
+            m = ~(i0 == i1)
+            i0, i1 = i0[m], i1[m]
+            for i0_, i1_ in zip(i0, i1):
+                i_bins = i[i_sort[i0_]]
+                if i_bins == -1 or i_bins == nb_bins:
                     continue
-                index = where(i_ == i)[0]
-                yield index, bins[i_], bins[i_ + 1]
+                yield i_sort[i0_:i1_], bins[i_bins], bins[i_bins + 1]
         else:
-            # TODO : need improvement
-            for i_ in unique(i):
-                if i_ == -1 or i_ == nb_bins:
-                    continue
-                index = where(i_ == i)[0]
-                yield slice(index[0], index[-1] + 1), bins[i_], bins[i_ + 1]
+            i0, i1, _ = build_index(i)
+            m = ~(i0 == i1)
+            i0, i1 = i0[m], i1[m]
+            for i0_, i1_ in zip(i0, i1):
+                i_bins = i[i0_]
+                yield slice(i0_, i1_), bins[i_bins], bins[i_bins + 1]
 
     def align_on(self, other, var_name="time", **kwargs):
         """
@@ -703,6 +708,7 @@ def load_from_netcdf(
             nb_obs = len(h_nc.dimensions[obs_dim])
             if indexs is not None and obs_dim in indexs:
                 sl = indexs[obs_dim]
+                sl = slice(sl.start, min(sl.stop, nb_obs))
                 if sl.stop is not None:
                     nb_obs = sl.stop
                 if sl.start is not None:

From eb79b9dc98a912ae0798f509a96b7d64bba5f769 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 3 Nov 2020 16:39:47 +0100
Subject: [PATCH 156/441] fix typo Scatter could use array

---
 src/py_eddy_tracker/generic.py                |  2 +-
 .../observations/observation.py               | 21 ++++++++++++-------
 2 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 3537845d..0fa9e35e 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -349,7 +349,7 @@ def split_line(x, y, i):
 @njit(cache=True)
 def wrap_longitude(x, y, ref, cut=False):
     """
-    Will wrap contiguous longitude with reference like west bound.
+    Will wrap contiguous longitude with reference as west bound.
 
     :param array x:
     :param array y:
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 37c450c8..f843a8f0 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -257,12 +257,18 @@ def __dir__(self):
         """
         base = set(dir(type(self)))
         intern_name = set(self.elements)
-        extern_name = set([VAR_DESCR[k]['nc_name'] for k in intern_name])
+        extern_name = set([VAR_DESCR[k]["nc_name"] for k in intern_name])
         # Must be check in init not here
         if base & intern_name:
-            logger.warning("Some variable name have a common name with class attrs: %s", base & intern_name)
+            logger.warning(
+                "Some variable name have a common name with class attrs: %s",
+                base & intern_name,
+            )
         if base & extern_name:
-            logger.warning("Some variable name have a common name with class attrs: %s", base & extern_name)
+            logger.warning(
+                "Some variable name have a common name with class attrs: %s",
+                base & extern_name,
+            )
         return sorted(base.union(intern_name).union(extern_name))
 
     def __getitem__(self, attr):
@@ -1524,9 +1530,9 @@ def extract_with_mask(self, mask):
     def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
-        :param str, None name:
+        :param str,array,None name:
             variable used to fill the contour, if None all elements have the same color
-        :param float, None ref: if define use like west bound ?
+        :param float,None ref: if define use like west bound ?
         :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
         :return: scatter mappable
@@ -1538,7 +1544,8 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         kwargs = kwargs.copy()
         if name is not None and "c" not in kwargs:
-            kwargs["c"] = self[name] * factor
+            v = self[name] if isinstance(name, str) else name
+            kwargs["c"] = v * factor
         return ax.scatter(x, self.latitude, **kwargs)
 
     def filled(
@@ -1556,7 +1563,7 @@ def filled(
     ):
         """
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
-        :param str,array varname, None: variable used to fill the contours, or an array of same size than obs
+        :param str,array,None varname: variable used to fill the contours, or an array of same size than obs
         :param float,None ref: if define use like west bound?
         :param bool intern: if True draw speed contours instead of effective contours
         :param str cmap: matplotlib colormap name

From 3b4adae516526fa2eb69a1e8c0ea4552c032cf86 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 5 Nov 2020 10:06:08 +0100
Subject: [PATCH 157/441] Access to variable like attribute

---
 .../pet_filter_and_detection.py               |  8 +-
 .../pet_run_a_tracking.py                     |  8 +-
 .../pet_filter_and_detection.ipynb            |  4 +-
 .../pet_run_a_tracking.ipynb                  |  4 +-
 setup.cfg                                     |  4 +
 src/py_eddy_tracker/dataset/grid.py           | 66 +++++++-------
 .../old_tracker_reference.py                  | 16 +---
 src/py_eddy_tracker/observations/network.py   |  2 +-
 .../observations/observation.py               | 87 ++++++++++---------
 src/py_eddy_tracker/observations/tracking.py  | 28 +++---
 src/py_eddy_tracker/tracking.py               |  8 +-
 11 files changed, 112 insertions(+), 123 deletions(-)

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index bcd72881..b2ae8c70 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -62,20 +62,20 @@ def update_axes(ax, mappable=None):
 ax_a = fig.add_subplot(121, xlabel="Amplitude (cm)")
 ax_r = fig.add_subplot(122, xlabel="Speed Radius (km)")
 ax_a.hist(
-    merge_f["amplitude"] * 100,
+    merge_f.amplitude * 100,
     bins=arange(0.0005, 100, 1),
     label="Eddies in the filtered grid",
     histtype="step",
 )
 ax_a.hist(
-    merge_t["amplitude"] * 100,
+    merge_t.amplitude * 100,
     bins=arange(0.0005, 100, 1),
     label="Eddies without filter",
     histtype="step",
 )
 ax_a.set_xlim(0, 10)
-ax_r.hist(merge_f["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
-ax_r.hist(merge_t["radius_s"] / 1000.0, bins=arange(0, 300, 5), histtype="step")
+ax_r.hist(merge_f.radius_s / 1000.0, bins=arange(0, 300, 5), histtype="step")
+ax_r.hist(merge_t.radius_s / 1000.0, bins=arange(0, 300, 5), histtype="step")
 ax_r.set_xlim(0, 100)
 ax_a.legend()
 
diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
index 64583c03..81d30fe2 100644
--- a/examples/08_tracking_manipulation/pet_run_a_tracking.py
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -28,8 +28,8 @@
 c.prepare_merging()
 # We have now an eddy object
 eddies_area_tracker = c.merge(raw_data=False)
-eddies_area_tracker["virtual"][:] = eddies_area_tracker["time"] == 0
-eddies_area_tracker.filled_by_interpolation(eddies_area_tracker["virtual"] == 1)
+eddies_area_tracker.virtual[:] = eddies_area_tracker.time == 0
+eddies_area_tracker.filled_by_interpolation(eddies_area_tracker.virtual == 1)
 
 # %%
 # We run a traking with default tracker
@@ -37,8 +37,8 @@
 c.track()
 c.prepare_merging()
 eddies_default_tracker = c.merge(raw_data=False)
-eddies_default_tracker["virtual"][:] = eddies_default_tracker["time"] == 0
-eddies_default_tracker.filled_by_interpolation(eddies_default_tracker["virtual"] == 1)
+eddies_default_tracker.virtual[:] = eddies_default_tracker.time == 0
+eddies_default_tracker.filled_by_interpolation(eddies_default_tracker.virtual == 1)
 
 # %%
 # Start GUI to compare tracking
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 5a1e173c..6c6c26ac 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax_a = fig.add_subplot(121, xlabel=\"Amplitude (cm)\")\nax_r = fig.add_subplot(122, xlabel=\"Speed Radius (km)\")\nax_a.hist(\n    merge_f[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies in the filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_t[\"amplitude\"] * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies without filter\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_t[\"radius_s\"] / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax_a = fig.add_subplot(121, xlabel=\"Amplitude (cm)\")\nax_r = fig.add_subplot(122, xlabel=\"Speed Radius (km)\")\nax_a.hist(\n    merge_f.amplitude * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies in the filtered grid\",\n    histtype=\"step\",\n)\nax_a.hist(\n    merge_t.amplitude * 100,\n    bins=arange(0.0005, 100, 1),\n    label=\"Eddies without filter\",\n    histtype=\"step\",\n)\nax_a.set_xlim(0, 10)\nax_r.hist(merge_f.radius_s / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.hist(merge_t.radius_s / 1000.0, bins=arange(0, 300, 5), histtype=\"step\")\nax_r.set_xlim(0, 100)\nax_a.legend()"
       ]
     },
     {
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index b834ace6..71162cda 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "c = Correspondances(datasets=file_objects, class_method=AreaTracker, virtual=3)\nc.track()\nc.prepare_merging()\n# We have now an eddy object\neddies_area_tracker = c.merge(raw_data=False)\neddies_area_tracker[\"virtual\"][:] = eddies_area_tracker[\"time\"] == 0\neddies_area_tracker.filled_by_interpolation(eddies_area_tracker[\"virtual\"] == 1)"
+        "c = Correspondances(datasets=file_objects, class_method=AreaTracker, virtual=3)\nc.track()\nc.prepare_merging()\n# We have now an eddy object\neddies_area_tracker = c.merge(raw_data=False)\neddies_area_tracker.virtual[:] = eddies_area_tracker.time == 0\neddies_area_tracker.filled_by_interpolation(eddies_area_tracker.virtual == 1)"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "c = Correspondances(datasets=file_objects, virtual=3)\nc.track()\nc.prepare_merging()\neddies_default_tracker = c.merge(raw_data=False)\neddies_default_tracker[\"virtual\"][:] = eddies_default_tracker[\"time\"] == 0\neddies_default_tracker.filled_by_interpolation(eddies_default_tracker[\"virtual\"] == 1)"
+        "c = Correspondances(datasets=file_objects, virtual=3)\nc.track()\nc.prepare_merging()\neddies_default_tracker = c.merge(raw_data=False)\neddies_default_tracker.virtual[:] = eddies_default_tracker.time == 0\neddies_default_tracker.filled_by_interpolation(eddies_default_tracker.virtual == 1)"
       ]
     },
     {
diff --git a/setup.cfg b/setup.cfg
index 9821c1ad..dfed5c3b 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -10,3 +10,7 @@ versionfile_source = src/py_eddy_tracker/_version.py
 versionfile_build = py_eddy_tracker/_version.py
 tag_prefix =
 parentdir_prefix =
+
+[tool:pytest]
+filterwarnings=
+	ignore:tostring.*is deprecated
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index eaade53d..1cbb73d5 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -551,15 +551,16 @@ def grid_tiles(self, varname, slice_x, slice_y):
 
     def high_filter(self, grid_name, w_cut, **kwargs):
         """Return the grid high-pass filtered, by substracting to the grid the low-pass filter (default: order=1)
+
         :param grid_name: the name of the grid
         :param int, w_cut: the half-power wavelength cutoff (km)
-
         """
         result = self._low_filter(grid_name, w_cut, **kwargs)
         self.vars[grid_name] -= result
 
     def low_filter(self, grid_name, w_cut, **kwargs):
         """Return the grid low-pass filtered (default: order=1)
+
         :param grid_name: the name of the grid
         :param int, w_cut: the half-power wavelength cutoff (km)
         """
@@ -804,28 +805,25 @@ def eddy_identification(
                         track_array_variables=sampling,
                         array_variables=array_variables,
                     )
-
-                    obs.obs["height_max_speed_contour"] = self.contours.cvalues[
-                        i_max_speed
-                    ]
-                    obs.obs["height_external_contour"] = cvalues
-                    obs.obs["height_inner_contour"] = self.contours.cvalues[i_inner]
+                    obs.height_max_speed_contour[:] = self.contours.cvalues[i_max_speed]
+                    obs.height_external_contour[:] = cvalues
+                    obs.height_inner_contour[:] = self.contours.cvalues[i_inner]
                     array_size = speed_array.shape[0]
-                    obs.obs["nb_contour_selected"] = array_size
+                    obs.nb_contour_selected[:] = array_size
                     if speed_array.shape[0] == 1:
-                        obs.obs["uavg_profile"][:] = speed_array[0]
+                        obs.uavg_profile[:] = speed_array[0]
                     else:
-                        obs.obs["uavg_profile"] = raw_resample(speed_array, sampling)
-                    obs.obs["amplitude"] = amp.amplitude
-                    obs.obs["speed_average"] = max_average_speed
-                    obs.obs["num_point_e"] = contour.lon.shape[0]
+                        obs.uavg_profile[:] = raw_resample(speed_array, sampling)
+                    obs.amplitude[:] = amp.amplitude
+                    obs.speed_average[:] = max_average_speed
+                    obs.num_point_e[:] = contour.lon.shape[0]
                     xy_e = uniform_resample(contour.lon, contour.lat, **out_sampling)
-                    obs.obs["contour_lon_e"], obs.obs["contour_lat_e"] = xy_e
-                    obs.obs["num_point_s"] = speed_contour.lon.shape[0]
+                    obs.contour_lon_e[:], obs.contour_lat_e[:] = xy_e
+                    obs.num_point_s[:] = speed_contour.lon.shape[0]
                     xy_s = uniform_resample(
                         speed_contour.lon, speed_contour.lat, **out_sampling
                     )
-                    obs.obs["contour_lon_s"], obs.obs["contour_lat_s"] = xy_s
+                    obs.contour_lon_s[:], obs.contour_lat_s[:] = xy_s
 
                     # FIXME : we use a contour without resampling
                     # First, get position based on innermost contour
@@ -841,20 +839,20 @@ def eddy_identification(
                         create_vertice(*xy_e)
                     )
 
-                    obs.obs["radius_s"] = eddy_radius_s
-                    obs.obs["radius_e"] = eddy_radius_e
-                    obs.obs["shape_error_e"] = aerr_e
-                    obs.obs["shape_error_s"] = aerr_s
-                    obs.obs["speed_area"] = poly_area(
+                    obs.radius_s[:] = eddy_radius_s
+                    obs.radius_e[:] = eddy_radius_e
+                    obs.shape_error_e[:] = aerr_e
+                    obs.shape_error_s[:] = aerr_s
+                    obs.speed_area[:] = poly_area(
                         *coordinates_to_local(*xy_s, lon0=centlon_s, lat0=centlat_s)
                     )
-                    obs.obs["effective_area"] = poly_area(
+                    obs.effective_area[:] = poly_area(
                         *coordinates_to_local(*xy_e, lon0=centlon_s, lat0=centlat_s)
                     )
-                    obs.obs["lon"] = centlon_s
-                    obs.obs["lat"] = centlat_s
-                    obs.obs["lon_max"] = centlon_i
-                    obs.obs["lat_max"] = centlat_i
+                    obs.lon[:] = centlon_s
+                    obs.lat[:] = centlat_s
+                    obs.lon_max[:] = centlon_i
+                    obs.lat_max[:] = centlat_i
                     if aerr > 99.9 or aerr_s > 99.9:
                         logger.warning(
                             "Strange shape at this step! shape_error : %f, %f",
@@ -874,18 +872,14 @@ def eddy_identification(
             else:
                 eddies = EddiesObservations.concatenate(eddies)
             eddies.sign_type = 1 if anticyclonic_search else -1
-            eddies.obs["time"] = (date - datetime(1950, 1, 1)).total_seconds() / 86400.0
+            eddies.time[:] = (date - datetime(1950, 1, 1)).total_seconds() / 86400.0
 
             # normalization longitude between 0 - 360, because storage have an offset on 180
-            eddies.obs["lon_max"] %= 360
-            eddies.obs["lon"] %= 360
-            ref = eddies.obs["lon"] - 180
-            eddies.obs["contour_lon_e"] = (
-                (eddies.obs["contour_lon_e"].T - ref) % 360 + ref
-            ).T
-            eddies.obs["contour_lon_s"] = (
-                (eddies.obs["contour_lon_s"].T - ref) % 360 + ref
-            ).T
+            eddies.lon_max[:] %= 360
+            eddies.lon[:] %= 360
+            ref = eddies.lon - 180
+            eddies.contour_lon_e[:] = ((eddies.contour_lon_e.T - ref) % 360 + ref).T
+            eddies.contour_lon_s[:] = ((eddies.contour_lon_s.T - ref) % 360 + ref).T
             a_and_c.append(eddies)
 
         if in_h_unit is not None:
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index b9381e4a..7a69e1b0 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -22,13 +22,7 @@ def mask_function(self, other, distance):
         # Compute Parameter of ellips
         minor, major = 1.05, 1.5
         y = self.basic_formula_ellips_major_axis(
-            self.obs["lat"],
-            degrees=True,
-            c0=minor,
-            cmin=minor,
-            cmax=major,
-            lat1=23,
-            lat2=5,
+            self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5,
         )
         # mask from ellips
         mask = self.shifted_ellipsoid_degrees_mask(
@@ -37,11 +31,7 @@ def mask_function(self, other, distance):
 
         # We check ratio (maybe not usefull)
         check_ratio(
-            mask,
-            self.obs["amplitude"],
-            other.obs["amplitude"],
-            self.obs["radius_e"],
-            other.obs["radius_e"],
+            mask, self.amplitude, other.amplitude, self.radius_e, other.radius_e,
         )
         indexs_closest = where(mask)
         mask[indexs_closest] = self.across_ground(
@@ -76,7 +66,7 @@ def post_process_link(self, other, i_self, i_other):
             for i in where(nb_link > 1)[0]:
                 m = i == i_other
                 multiple_in = i_self[m]
-                i_keep = self.obs["amplitude"][multiple_in].argmax()
+                i_keep = self.amplitude[multiple_in].argmax()
                 m[where(m)[0][i_keep]] = False
                 mask[m] = False
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 1bbe8ec8..35317398 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -116,7 +116,7 @@ def build_dataset(self, group):
         if display_iteration:
             print()
         eddies = eddies.add_fields(("track",))
-        eddies.obs["track"][new_i] = group
+        eddies.track[new_i] = group
         return eddies
 
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 25c797a0..43ed3793 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -39,6 +39,7 @@
     histogram,
     digitize,
     percentile,
+    array_equal,
 )
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
@@ -163,7 +164,14 @@ def __init__(
 
     @property
     def tracks(self):
-        return self.observations["track"]
+        return self.track
+
+    def __eq__(self, other):
+        if self.sign_type != other.sign_type:
+            return False
+        if self.dtype != other.dtype:
+            return False
+        return array_equal(self.obs, other.obs)
 
     @property
     def sign_legend(self):
@@ -231,8 +239,8 @@ def __repr__(self):
         nb_obs = self.observations.shape[0]
 
         return f"""    | {nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
-    |   Speed area      : {self["speed_area"].sum() / period / 1e12:.2f} Mkm²/day
-    |   Effective area  : {self["effective_area"].sum() / period / 1e12:.2f} Mkm²/day
+    |   Speed area      : {self.speed_area.sum() / period / 1e12:.2f} Mkm²/day
+    |   Effective area  : {self.effective_area.sum() / period / 1e12:.2f} Mkm²/day
     ----Distribution in Amplitude:
     |   Amplitude bounds (cm)  {self.box_display(bins_amplitude)}
     |   Percent of eddies         : {
@@ -272,18 +280,18 @@ def __dir__(self):
             )
         return sorted(base.union(intern_name).union(extern_name))
 
-    def __getitem__(self, attr):
+    def __getitem__(self, attr: str):
         if attr in self.elements:
-            return self.observations[attr]
+            return self.obs[attr]
         elif attr in VAR_DESCR_inv:
-            return self.observations[VAR_DESCR_inv[attr]]
+            return self.obs[VAR_DESCR_inv[attr]]
         raise KeyError("%s unknown" % attr)
 
     def __getattr__(self, attr):
         if attr in self.elements:
-            return self.observations[attr]
+            return self.obs[attr]
         elif attr in VAR_DESCR_inv:
-            return self.observations[VAR_DESCR_inv[attr]]
+            return self.obs[VAR_DESCR_inv[attr]]
         raise AttributeError(
             "{!r} object has no attribute {!r}".format(type(self).__name__, attr)
         )
@@ -324,7 +332,7 @@ def add_fields(self, fields=list(), array_fields=list()):
 
     def add_rotation_type(self):
         new = self.add_fields(("type_cyc",))
-        new.observations["type_cyc"] = self.sign_type
+        new.type_cyc = self.sign_type
         return new
 
     def circle_contour(self, only_virtual=False):
@@ -422,8 +430,8 @@ def merge(self, other):
             if key in other_keys:
                 eddies.obs[key][nb_obs_self:] = other.obs[key][:]
         if "track" in other_keys and "track" in self_keys:
-            last_track = eddies.obs["track"][nb_obs_self - 1] + 1
-            eddies.obs["track"][nb_obs_self:] += last_track
+            last_track = eddies.track[nb_obs_self - 1] + 1
+            eddies.track[nb_obs_self:] += last_track
         eddies.sign_type = self.sign_type
         return eddies
 
@@ -443,11 +451,11 @@ def __iter__(self):
         for obs in self.obs:
             yield obs
 
-    def iter_on(self, xname, bins=None):
+    def iter_on(self, xname: str, bins=None):
         """
         Yield observation group for each bin.
 
-        :param str varname:
+        :param str xname:
         :param array bins: bounds of each bin ,
         :return: Group observations
         :rtype: self.__class__
@@ -530,12 +538,10 @@ def __add__(self, other):
     def distance(self, other):
         """ Use haversine distance for distance matrix between every self and
         other eddies."""
-        return distance_grid(
-            self.obs["lon"], self.obs["lat"], other.obs["lon"], other.obs["lat"]
-        )
+        return distance_grid(self.lon, self.lat, other.lon, other.lat)
 
     @staticmethod
-    def new_like(eddies, new_size):
+    def new_like(eddies, new_size: int):
         return eddies.__class__(
             new_size,
             track_extra_variables=eddies.track_extra_variables,
@@ -929,7 +935,7 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
         :param float cmin: 0 < cmin < 1, return only couples with score >= cmin
         :param dict kwargs: look at :py:meth:`vertice_overlap`
         :return: return the indexes of the eddies in self coupled with eddies in
-        other and their associated score
+            other and their associated score
         :rtype: (array(int), array(int), array(float))
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
@@ -998,12 +1004,12 @@ def mask_function(self, other, distance):
 
     @staticmethod
     def cost_function(records_in, records_out, distance):
-        """Return the cost function between two obs.
+        r"""Return the cost function between two obs.
 
         .. math::
 
             cost = \sqrt{({Amp_{_{in}} - Amp_{_{out}} \over Amp_{_{in}}}) ^2 +
-              ({Rspeed_{_{in}} - Rspeed_{_{out}} \over Rspeed_{_{in}}}) ^2 + 
+              ({Rspeed_{_{in}} - Rspeed_{_{out}} \over Rspeed_{_{in}}}) ^2 +
               ({distance \over 125}) ^2
             }
 
@@ -1027,12 +1033,7 @@ def cost_function(records_in, records_out, distance):
 
     def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         return shifted_ellipsoid_degrees_mask2(
-            self.obs["lon"],
-            self.obs["lat"],
-            other.obs["lon"],
-            other.obs["lat"],
-            minor,
-            major,
+            self.lon, self.lat, other.lon, other.lat, minor, major,
         )
 
     def fixed_ellipsoid_mask(
@@ -1056,10 +1057,10 @@ def fixed_ellipsoid_mask(
                 minor = minor[index_self]
             # focal distance
             f_degree = ((major ** 2 - minor ** 2) ** 0.5) / (
-                111.2 * cos(radians(self.obs["lat"][index_self]))
+                111.2 * cos(radians(self.lat[index_self]))
             )
 
-            lon_self = self.obs["lon"][index_self]
+            lon_self = self.lon[index_self]
             if shifted_ellips:
                 x_center_ellips = lon_self - (major - minor) / 2
             else:
@@ -1070,21 +1071,21 @@ def fixed_ellipsoid_mask(
 
             dist_left_f = distance(
                 lon_left_f,
-                self.obs["lat"][index_self],
-                other.obs["lon"][index_other],
-                other.obs["lat"][index_other],
+                self.lat[index_self],
+                other.lon[index_other],
+                other.lat[index_other],
             )
             dist_right_f = distance(
                 lon_right_f,
-                self.obs["lat"][index_self],
-                other.obs["lon"][index_other],
-                other.obs["lat"][index_other],
+                self.lat[index_self],
+                other.lon[index_other],
+                other.lat[index_other],
             )
             dist_2a = (dist_left_f + dist_right_f) / 1000
 
             accepted[index_other, index_self] = dist_2a < (2 * major)
             if only_east:
-                d_lon = (other.obs["lon"][index_other] - lon_self + 180) % 360 - 180
+                d_lon = (other.lon[index_other] - lon_self + 180) % 360 - 180
                 mask = d_lon < 0
                 accepted[index_other[mask], index_self[mask]] = False
         return accepted.T
@@ -1275,7 +1276,7 @@ def to_zarr(self, handler, **kwargs):
                     dimensions=VAR_DESCR[name]["nc_dims"],
                 ),
                 VAR_DESCR[name]["nc_attr"],
-                self.observations[ori_name],
+                self.obs[ori_name],
                 scale_factor=VAR_DESCR[name].get("scale_factor", None),
                 add_offset=VAR_DESCR[name].get("add_offset", None),
                 filters=VAR_DESCR[name].get("filters", None),
@@ -1324,7 +1325,7 @@ def to_netcdf(self, handler, **kwargs):
                     dimensions=VAR_DESCR[name]["nc_dims"],
                 ),
                 VAR_DESCR[name]["nc_attr"],
-                self.observations[ori_name],
+                self.obs[ori_name],
                 scale_factor=VAR_DESCR[name].get("scale_factor", None),
                 add_offset=VAR_DESCR[name].get("add_offset", None),
                 **kwargs,
@@ -1649,11 +1650,11 @@ def display(
         .. minigallery:: py_eddy_tracker.EddiesObservations.display
         """
         if not extern_only:
-            lon_s = flatten_line_matrix(self.obs["contour_lon_s"])
-            lat_s = flatten_line_matrix(self.obs["contour_lat_s"])
+            lon_s = flatten_line_matrix(self.contour_lon_s)
+            lat_s = flatten_line_matrix(self.contour_lat_s)
         if not intern_only:
-            lon_e = flatten_line_matrix(self.obs["contour_lon_e"])
-            lat_e = flatten_line_matrix(self.obs["contour_lat_e"])
+            lon_e = flatten_line_matrix(self.contour_lon_e)
+            lat_e = flatten_line_matrix(self.contour_lat_e)
         if nobs and "label" in kwargs:
             kwargs["label"] += " (%s observations)" % len(self)
         kwargs_e = kwargs.copy()
@@ -1677,7 +1678,7 @@ def first_obs(self):
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.first_obs
         """
-        return self.extract_with_mask(self["n"] == 0)
+        return self.extract_with_mask(self.n == 0)
 
     def last_obs(self):
         """
@@ -1689,7 +1690,7 @@ def last_obs(self):
         """
         m = zeros(len(self), dtype="bool")
         m[-1] = True
-        m[:-1][self["n"][1:] == 0] = True
+        m[:-1][self.n[1:] == 0] = True
         return self.extract_with_mask(m)
 
     def is_convex(self, intern=False):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 408a26d5..52841c8c 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -86,7 +86,7 @@ def __repr__(self):
         period = t1 - t0 + 1
         nb = self.nb_obs_by_track
         nb_obs = self.observations.shape[0]
-        m = self["virtual"].astype("bool")
+        m = self.virtual.astype("bool")
         nb_m = m.sum()
         bins_t = (1, 30, 90, 180, 270, 365, 1000, 10000)
         nb_tracks_by_t = histogram(nb, bins=bins_t)[0]
@@ -102,8 +102,8 @@ def __repr__(self):
     | {self.nb_tracks} tracks ({
         nb_obs / self.nb_tracks:.2f} obs/tracks, shorter {nb[nb!=0].min()} obs, longer {nb.max()} obs)
     |   {nb_m} filled observations ({nb_m / self.nb_tracks:.2f} obs/tracks, {nb_m / nb_obs * 100:.2f} % of total)
-    |   Intepolated speed area      : {self["speed_area"][m].sum() / period / 1e12:.2f} Mkm²/day
-    |   Intepolated effective area  : {self["effective_area"][m].sum() / period / 1e12:.2f} Mkm²/day
+    |   Intepolated speed area      : {self.speed_area[m].sum() / period / 1e12:.2f} Mkm²/day
+    |   Intepolated effective area  : {self.effective_area[m].sum() / period / 1e12:.2f} Mkm²/day
     |   Distance by day             : Mean {d[m_last].mean():.2f} , Median {median(d[m_last]):.2f} km/day
     |   Distance by track           : Mean {cum_d[~m_last].mean():.2f} , Median {median(cum_d[~m_last]):.2f} km/track
     ----Distribution in lifetime:
@@ -160,13 +160,13 @@ def filled_by_interpolation(self, mask):
                 continue
             # to normalize longitude before interpolation
             if var == "lon":
-                lon = self.obs[var]
-                first = where(self.obs["n"] == 0)[0]
+                lon = self.lon
+                first = where(self.n == 0)[0]
                 nb_obs = empty(first.shape, dtype="u4")
                 nb_obs[:-1] = first[1:] - first[:-1]
                 nb_obs[-1] = lon.shape[0] - first[-1]
                 lon0 = (lon[first] - 180).repeat(nb_obs)
-                self.obs[var] = (lon - lon0) % 360 + lon0
+                self.lon[:] = (lon - lon0) % 360 + lon0
             self.obs[var][mask] = interp(
                 index[mask], index[~mask], self.obs[var][~mask]
             )
@@ -184,11 +184,11 @@ def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
             var = field[0]
             eddies.obs[var] = self.obs[var][mask]
         if compress_id:
-            list_id = unique(eddies.obs["track"])
+            list_id = unique(eddies.obs.track)
             list_id.sort()
             id_translate = arange(list_id.max() + 1)
             id_translate[list_id] = arange(len(list_id)) + 1
-            eddies.obs["track"] = id_translate[eddies.obs["track"]]
+            eddies.track = id_translate[eddies.track]
         return eddies
 
     @property
@@ -340,7 +340,7 @@ def extract_first_obs_in_box(self, res):
         )
         data["lon"] = self.longitude - self.longitude % res
         data["lat"] = self.latitude - self.latitude % res
-        data["track"] = self.obs["track"]
+        data["track"] = self.track
         _, indexs = unique(data, return_index=True)
         mask = zeros(self.obs.shape, dtype="bool")
         mask[indexs] = True
@@ -391,7 +391,7 @@ def empty_dataset(self):
         return self.new_like(self, 0)
 
     def loess_filter(self, half_window, xfield, yfield, inplace=True):
-        track = self.obs["track"]
+        track = self.track
         x = self.obs[xfield]
         y = self.obs[yfield]
         result = track_loess_filter(half_window, x, y, track)
@@ -400,7 +400,7 @@ def loess_filter(self, half_window, xfield, yfield, inplace=True):
             return self
 
     def median_filter(self, half_window, xfield, yfield, inplace=True):
-        track = self.obs["track"]
+        track = self.track
         x = self.obs[xfield]
         y = self.obs[yfield]
         result = track_median_filter(half_window, x, y, track)
@@ -443,7 +443,7 @@ def extract_with_mask(
 
         if full_path:
             if reject_virtual:
-                mask *= ~self.obs["virtual"].astype("bool")
+                mask *= ~self.virtual.astype("bool")
             tracks = unique(self.tracks[mask])
             mask = self.get_mask_from_id(tracks)
         elif remove_incomplete:
@@ -461,11 +461,11 @@ def extract_with_mask(
                 var = field[0]
                 new.obs[var] = self.obs[var][mask]
             if compress_id:
-                list_id = unique(new.obs["track"])
+                list_id = unique(new.track)
                 list_id.sort()
                 id_translate = arange(list_id.max() + 1)
                 id_translate[list_id] = arange(len(list_id)) + 1
-                new.obs["track"] = id_translate[new.obs["track"]]
+                new.track = id_translate[new.track]
         return new
 
     def plot(self, ax, ref=None, **kwargs):
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index e254c8f5..bde06ddc 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -146,10 +146,10 @@ def period(self):
 
         """
         date_start = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[0]).obs["time"][0])
+            int(self.class_method.load_file(self.datasets[0]).time[0])
         )
         date_stop = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[-1]).obs["time"][0])
+            int(self.class_method.load_file(self.datasets[-1]).time[0])
         )
         return date_start, date_stop
 
@@ -727,8 +727,8 @@ def get_unused_data(self, raw_data=False):
             current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
             if i == 0:
                 eddies.sign_type = current_obs.sign_type
-            unused_obs = current_obs.observations[list_mask[i]]
+            unused_obs = current_obs.obs[list_mask[i]]
             nb = unused_obs.shape[0]
-            eddies.observations[j : j + nb] = unused_obs
+            eddies.obs[j : j + nb] = unused_obs
             j += nb
         return eddies

From 8688672a8cf473674267cc048f521c8af7b3244d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 9 Nov 2020 14:02:16 +0100
Subject: [PATCH 158/441] modify zarr acces

---
 src/py_eddy_tracker/__init__.py               |  13 +-
 .../data/Anticyclonic_20190223.nc             | Bin 881637 -> 907023 bytes
 src/py_eddy_tracker/data/Cyclonic_20190223.nc | Bin 932405 -> 959238 bytes
 .../observations/observation.py               | 250 +++++++++++-------
 tests/test_obs.py                             |  29 +-
 tests/test_track.py                           |   0
 6 files changed, 182 insertions(+), 110 deletions(-)
 create mode 100644 tests/test_track.py

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 57ba756c..bc8cd977 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -22,7 +22,6 @@
 
 from argparse import ArgumentParser
 import logging
-import numpy
 import zarr
 from ._version import get_versions
 
@@ -388,8 +387,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         filters=[zarr.Delta("i2")],
         output_type="i2",
-        scale_factor=numpy.float32(0.01),
-        add_offset=180,
+        scale_factor=0.01,
+        add_offset=180.0,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
             long_name="Effective Contour Longitudes",
@@ -405,7 +404,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         filters=[zarr.Delta("i2")],
         output_type="i2",
-        scale_factor=numpy.float32(0.01),
+        scale_factor=0.01,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
             long_name="Effective Contour Latitudes",
@@ -432,8 +431,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         filters=[zarr.Delta("i2")],
         output_type="i2",
-        scale_factor=numpy.float32(0.01),
-        add_offset=180,
+        scale_factor=0.01,
+        add_offset=180.0,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
             long_name="Speed Contour Longitudes",
@@ -449,7 +448,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         filters=[zarr.Delta("i2")],
         output_type="i2",
-        scale_factor=numpy.float32(0.01),
+        scale_factor=0.01,
         nc_dims=("obs", "NbSample"),
         nc_attr=dict(
             long_name="Speed Contour Latitudes",
diff --git a/src/py_eddy_tracker/data/Anticyclonic_20190223.nc b/src/py_eddy_tracker/data/Anticyclonic_20190223.nc
index 81a8fb7736b56828783df9a8b7a96c4d967b8e66..ce48c8d60a4779176855f1c3108911b2f2d50c91 100644
GIT binary patch
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diff --git a/src/py_eddy_tracker/data/Cyclonic_20190223.nc b/src/py_eddy_tracker/data/Cyclonic_20190223.nc
index dc417aaee9740b6e6082f61fa981c0d95d7b5c61..a133e4ff19e49f38fffb2c65cf33f95df86a1557 100644
GIT binary patch
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zLyZte3Cty~$>^@Oe~qv?h13YA32nzJEa<<R{aA%EW}Le-v@IB?z|rUB*;;0_EcT4o
z1WSQ8Uyxn$?v1a1gXqpjsK_iX$hTkIu3V#+mVS;S|EM&ljtX#zU7m<n6jYelEf#u$
zNtx!2Uc0Cj%rH1g`*%1Om{;OlK!h7NNRh&0#EyhzT1!N_C;G{TzS+fBl{UeV%Lel;
zCHTj5Q;E9d^WpAvx96Q1m<-)AOf{+l=i<eRwkg~<*aC7{#+1Xt<wvX!dT`P)R8o-=
z3EF@aV}(&T`xpaTc8enf8Vf~roF=Tu7S&>H@`|ZObqo?i-&T|yCJ9kSW$cMPBwoSb
zeTvzDGBX^kW{)jfNvQ>3<uCC!Bn8Kt>8LXT#gDi&m_|~R)9E5<?LwJc)fyJQb2kj@
zR0iA6?^OQjM#Ob!KN8nNGa(WexoAd7(N}LPFZq~JUZY+?rUf^ZTDDJpo4GHnO1L>H
zAG8Y`DK_gnGHlkr{sp#cs*3oz^s$oy4bdp*lZJkaL#S>|9nOyqpFHKUf)3)px>Tos
z$WD#xp96gR)0)rvhwRjZ{<9i48MZk#*fR2Ux2dIhaOf9Gytr~X<p`~8O!-zRHwOLX
zO`3%@@=qw{Se8hARCJ~$H|uYlQhdk>(g>|60miAYDoC*7yj)-`M`0eHE0ggJk54qW
zAuC!@Z=_+UKk!xfIkrF*CFcQH2v4-~!v}xz3Kp788ZTh+J{KDAbD{A*uU7FsFHP}2
zuR*bX>kZWvUTNYV@ahup^J)_Bqw*1dB~N}H<UoD`<b8hNqkVJ;)#(6%akb+gaJA!o
zey-zvevspReuCqDuBN;{cSEj7&bQe1c|{CeZ)9J~$G37;yT?VP$mw80?6yAT8Bv4}
z5$$m%e{J_&Q_z3ae&02Bx3wq=chURgZnhEnl^s!j-_$g&{0Fule~=n;H%zw6-moh{
zvcOOFDc*))^pg|((~H)tZ>1nDC%4J#@Jgs`fz{}M;e0rlj^EJb0nRgPM|>U+IxwJ!
zMzhtI>Slo?9C6XbK9<Sp_coM)@6ZdVr4cvb#ELd>FP^cI#@Ea#U2DJvyhavHO%Epy
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zkOwY%=#d6`k^tSAZVdF8QwB1+V%IF?9)@h&elivPP%4w9-aHW{Lk|T=ul=sPg_PF>
zSkf)~!>IjA4ZKH1wLXWx)Ov@8;o3o1tTe$CpA+=m7iod;nq7R*@lzx#+7I)MyUZ|H
zcbg^0%ny;UJ>8UPp1Cdca7NKD;}P%D1V3W9{O7g=-B~@WJ?(dG^2iZj$R>}#gduEE
ZJow*#vISq>?D3`jbcaW%fWr3Ne*-3HIavSz

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 43ed3793..2d16fb9a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -30,7 +30,6 @@
     empty,
     absolute,
     concatenate,
-    float64,
     ceil,
     arange,
     histogram2d,
@@ -568,7 +567,10 @@ def index(self, index, reverse=False):
 
     @staticmethod
     def zarr_dimension(filename):
-        h = zarr.open(filename)
+        if isinstance(filename, zarr.storage.MutableMapping):
+            h = filename
+        else:
+            h = zarr.open(filename)
         dims = list()
         for varname in h:
             dims.extend(list(getattr(h, varname).shape))
@@ -591,10 +593,8 @@ def load_file(cls, filename, **kwargs):
                 indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(filename, **kwargs_latlon_300)
-        
-        Default **kwargs to load zarr are : raw_data=False, remove_vars=None, include_vars=None
 
-        Default **kwargs to load netcdf are : raw_data=False, remove_vars=None, include_vars=None, indexs=None
+        For `**kwargs` look at :py:meth:`load_from_zarr` or :py:meth:`load_from_netcdf`
         """
         filename_ = (
             filename.filename if isinstance(filename, ExFileObject) else filename
@@ -607,21 +607,46 @@ def load_file(cls, filename, **kwargs):
 
     @classmethod
     def load_from_zarr(
-        cls, filename, raw_data=False, remove_vars=None, include_vars=None
+        cls,
+        filename,
+        raw_data=False,
+        remove_vars=None,
+        include_vars=None,
+        indexs=None,
+        buffer_size=5000000,
     ):
+        """Load data from zarr.
+
+        :param str,store filename: path or store to load data
+        :param bool raw_data: If true load data without apply scale_factor and add_offset
+        :param None,list(str) remove_vars: List of variable name which will be not loaded
+        :param None,list(str) include_vars: If defined only this variable will be loaded
+        :param None,dict indexs: Indexs to laad only a slice of data
+        :param int buffer_size: Size of buffer used to load zarr data
+        :return: Obsevations selected
+        :return type: class
+        """
         # FIXME must be investigate, in zarr no dimensions name (or could be add in attr)
         array_dim = 50
-        BLOC = 5000000
-        if not isinstance(filename, str):
-            filename = filename.astype(str)
-        h_zarr = zarr.open(filename)
-        var_list = list(h_zarr.keys())
-        if include_vars is not None:
-            var_list = [i for i in var_list if i in include_vars]
-        elif remove_vars is not None:
-            var_list = [i for i in var_list if i not in remove_vars]
+        if isinstance(filename, zarr.storage.MutableMapping):
+            h_zarr = filename
+        else:
+            if not isinstance(filename, str):
+                filename = filename.astype(str)
+            h_zarr = zarr.open(filename)
+        var_list = cls.build_var_list(list(h_zarr.keys()), remove_vars, include_vars)
 
         nb_obs = getattr(h_zarr, var_list[0]).shape[0]
+        if indexs is not None and "obs" in indexs:
+            sl = indexs["obs"]
+            sl = slice(sl.start, min(sl.stop, nb_obs))
+            if sl.stop is not None:
+                nb_obs = sl.stop
+            if sl.start is not None:
+                nb_obs -= sl.start
+            if sl.step is not None:
+                indexs["obs"] = slice(sl.start, sl.stop)
+                logger.warning("step of slice won't be use")
         logger.debug("%d observations will be load", nb_obs)
         kwargs = dict()
         dims = cls.zarr_dimension(filename)
@@ -647,65 +672,87 @@ def load_from_zarr(
             var_inv = VAR_DESCR_inv[variable]
             logger.debug("%s will be loaded", variable)
             # find unit factor
-            factor = 1
             input_unit = h_zarr[variable].attrs.get("unit", None)
             if input_unit is None:
                 input_unit = h_zarr[variable].attrs.get("units", None)
             output_unit = VAR_DESCR[var_inv]["nc_attr"].get("units", None)
-            if (
-                output_unit is not None
-                and input_unit is not None
-                and output_unit != input_unit
-            ):
-                units = UnitRegistry()
-                try:
-                    input_unit = units.parse_expression(
-                        input_unit, case_sensitive=False
-                    )
-                    output_unit = units.parse_expression(
-                        output_unit, case_sensitive=False
-                    )
-                except UndefinedUnitError:
-                    input_unit = None
-                except TokenError:
-                    input_unit = None
-                if input_unit is not None:
-                    factor = input_unit.to(output_unit).to_tuple()[0]
-                    # If we are able to find a conversion
-                    if factor != 1:
-                        logger.info(
-                            "%s will be multiply by %f to take care of units(%s->%s)",
-                            variable,
-                            factor,
-                            input_unit,
-                            output_unit,
-                        )
-            nb = h_zarr[variable].shape[0]
-
+            factor = cls.compare_units(input_unit, output_unit, variable)
+            sl_obs = slice(None) if indexs is None else indexs.get("obs", slice(None))
             scale_factor = VAR_DESCR[var_inv].get("scale_factor", None)
             add_offset = VAR_DESCR[var_inv].get("add_offset", None)
-            for i in range(0, nb, BLOC):
-                sl = slice(i, i + BLOC)
-                data = h_zarr[variable][sl]
-                if factor != 1:
-                    data *= factor
-                if raw_data:
-                    if add_offset is not None:
-                        data -= add_offset
-                    if scale_factor is not None:
-                        data /= scale_factor
-                eddies.obs[var_inv][sl] = data
-
-        eddies.sign_type = h_zarr.attrs.get("rotation_type", 0)
+            cls.copy_data_to_zarr(
+                h_zarr[variable],
+                eddies.obs[var_inv],
+                sl_obs,
+                buffer_size,
+                factor,
+                raw_data,
+                scale_factor,
+                add_offset,
+            )
+
+        eddies.sign_type = int(h_zarr.attrs.get("rotation_type", 0))
         if eddies.sign_type == 0:
             logger.debug("File come from another algorithm of identification")
             eddies.sign_type = -1
         return eddies
 
+    @staticmethod
+    def copy_data_to_zarr(
+        handler_zarr,
+        handler_eddies,
+        sl_obs,
+        buffer_size,
+        factor,
+        raw_data,
+        scale_factor,
+        add_offset,
+    ):
+        """
+        Copy with buffer for zarr.
+
+        Zarr need to get real value, and size could be huge, so we use a buffer to manage memory
+        :param zarr_dataset handler_zarr:
+        :param array handler_eddies:
+        :param slice zarr_dataset sl_obs:
+        :param int zarr_dataset buffer_size:
+        :param float zarr_dataset factor:
+        :param bool zarr_dataset raw_data:
+        :param None,float zarr_dataset scale_factor:
+        :param None,float add_offset:
+        """
+        i_start, i_stop = sl_obs.start, sl_obs.stop
+        if i_start is None:
+            i_start = 0
+        if i_stop is None:
+            i_stop = handler_zarr.shape[0]
+        for i in range(i_start, i_stop, buffer_size):
+            sl_in = slice(i, i + buffer_size)
+            data = handler_zarr[sl_in]
+            if factor != 1:
+                data *= factor
+            if raw_data:
+                if add_offset is not None:
+                    data -= add_offset
+                if scale_factor is not None:
+                    data /= scale_factor
+            sl_out = slice(i - i_start, i - i_start + buffer_size)
+            handler_eddies[sl_out] = data
+
     @classmethod
     def load_from_netcdf(
         cls, filename, raw_data=False, remove_vars=None, include_vars=None, indexs=None
     ):
+        """Load data from netcdf.
+
+        :param str,ExFileObject filename: path or handler to load data
+        :param bool raw_data: If true load data without apply scale_factor and add_offset
+        :param None,list(str) remove_vars: List of variable name which will be not loaded
+        :param None,list(str) include_vars: If defined only this variable will be loaded
+        :param None,dict indexs: Indexs to laad only a slice of data
+        :return: Obsevations selected
+        :return type: class
+        """
         array_dim = "NbSample"
         if isinstance(filename, bytes):
             filename = filename.astype(str)
@@ -715,11 +762,9 @@ def load_from_netcdf(
         else:
             args, kwargs = (filename,), dict()
         with Dataset(*args, **kwargs) as h_nc:
-            var_list = list(h_nc.variables.keys())
-            if include_vars is not None:
-                var_list = [i for i in var_list if i in include_vars]
-            elif remove_vars is not None:
-                var_list = [i for i in var_list if i not in remove_vars]
+            var_list = cls.build_var_list(
+                list(h_nc.variables.keys()), remove_vars, include_vars
+            )
 
             obs_dim = cls.obs_dimension(h_nc)
             nb_obs = len(h_nc.dimensions[obs_dim])
@@ -771,34 +816,7 @@ def load_from_netcdf(
                     if input_unit is None:
                         input_unit = getattr(h_nc.variables[variable], "units", None)
                     output_unit = VAR_DESCR[var_inv]["nc_attr"].get("units", None)
-                    if (
-                        output_unit is not None
-                        and input_unit is not None
-                        and output_unit != input_unit
-                    ):
-                        units = UnitRegistry()
-                        try:
-                            input_unit = units.parse_expression(
-                                input_unit, case_sensitive=False
-                            )
-                            output_unit = units.parse_expression(
-                                output_unit, case_sensitive=False
-                            )
-                        except UndefinedUnitError:
-                            input_unit = None
-                        except TokenError:
-                            input_unit = None
-                        if input_unit is not None:
-                            factor = input_unit.to(output_unit).to_tuple()[0]
-                            # If we are able to find a conversion
-                            if factor != 1:
-                                logger.info(
-                                    "%s will be multiply by %f to take care of units(%s->%s)",
-                                    variable,
-                                    factor,
-                                    input_unit,
-                                    output_unit,
-                                )
+                    factor = cls.compare_units(input_unit, output_unit, variable)
                 if indexs is None:
                     indexs = dict()
                 var_sl = [
@@ -826,6 +844,38 @@ def load_from_netcdf(
 
         return eddies
 
+    @staticmethod
+    def build_var_list(var_list, remove_vars, include_vars):
+        if include_vars is not None:
+            var_list = [i for i in var_list if i in include_vars]
+        elif remove_vars is not None:
+            var_list = [i for i in var_list if i not in remove_vars]
+        return var_list
+
+    @staticmethod
+    def compare_units(input_unit, output_unit, name):
+        if output_unit is None or input_unit is None or output_unit == input_unit:
+            return 1
+        units = UnitRegistry()
+        try:
+            input_unit = units.parse_expression(input_unit, case_sensitive=False)
+            output_unit = units.parse_expression(output_unit, case_sensitive=False)
+        except UndefinedUnitError:
+            input_unit = None
+        except TokenError:
+            input_unit = None
+        if input_unit is not None:
+            factor = input_unit.to(output_unit).to_tuple()[0]
+            # If we are able to find a conversion
+            if factor != 1:
+                logger.info(
+                    "%s will be multiply by %f to take care of units(%s->%s)",
+                    name,
+                    factor,
+                    input_unit,
+                    output_unit,
+                )
+
     @classmethod
     def from_zarr(cls, handler):
         nb_obs = len(handler.dimensions[cls.obs_dimension(handler)])
@@ -1389,6 +1439,7 @@ def create_variable_zarr(
         add_offset=None,
         filters=None,
         compressor=None,
+        chunck_size=2500000
     ):
         kwargs_variable["shape"] = data.shape
         kwargs_variable["compressor"] = (
@@ -1401,8 +1452,8 @@ def create_variable_zarr(
                 add_offset = 0
             kwargs_variable["filters"].append(
                 zarr.FixedScaleOffset(
-                    offset=float64(add_offset),
-                    scale=1 / float64(scale_factor),
+                    offset=add_offset,
+                    scale=1 / scale_factor,
                     dtype=kwargs_variable["dtype"],
                     astype=store_dtype,
                 )
@@ -1412,10 +1463,10 @@ def create_variable_zarr(
         dims = kwargs_variable.get("dimensions", None)
         # Manage chunk in 2d case
         if len(dims) == 1:
-            kwargs_variable["chunks"] = (2500000,)
+            kwargs_variable["chunks"] = (chunck_size,)
         if len(dims) == 2:
             second_dim = data.shape[1]
-            kwargs_variable["chunks"] = (200000, second_dim)
+            kwargs_variable["chunks"] = (chunck_size // second_dim, second_dim)
 
         kwargs_variable.pop("dimensions")
         v = handler_zarr.create_dataset(**kwargs_variable)
@@ -1443,7 +1494,7 @@ def create_variable_zarr(
             logger.warning("Data is empty")
 
     def write_file(
-        self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=False
+        self, path="./", filename="%(path)s/%(sign_type)s.nc", zarr_flag=False, **kwargs
     ):
         """Write a netcdf or zarr with eddy obs.
         Zarr is usefull for large dataset > 10M observations
@@ -1451,6 +1502,7 @@ def write_file(
         :param str path: set path variable
         :param str filename: model to store file
         :param bool zarr_flag: If True, method will use zarr format instead of netcdf
+        :param dict kwargs: look at :py:meth:`to_zarr` or :py:meth:`to_netcdf`
         """
         filename = filename % dict(
             path=path,
@@ -1464,10 +1516,10 @@ def write_file(
         logger.info("Store in %s", filename)
         if zarr_flag:
             handler = zarr.open(filename, "w")
-            self.to_zarr(handler)
+            self.to_zarr(handler, **kwargs)
         else:
             with Dataset(filename, "w", format="NETCDF4") as handler:
-                self.to_netcdf(handler)
+                self.to_netcdf(handler, **kwargs)
 
     @property
     def global_attr(self):
diff --git a/tests/test_obs.py b/tests/test_obs.py
index 8a38a96a..699fe8f8 100644
--- a/tests/test_obs.py
+++ b/tests/test_obs.py
@@ -1,8 +1,19 @@
+import zarr
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.data import get_path
 
-a = EddiesObservations.load_file(get_path("Anticyclonic_20190223.nc"))
-c = EddiesObservations.load_file(get_path("Cyclonic_20190223.nc"))
+a_filename, c_filename = (
+    get_path("Anticyclonic_20190223.nc"),
+    get_path("Cyclonic_20190223.nc"),
+)
+a = EddiesObservations.load_file(a_filename)
+a_raw = EddiesObservations.load_file(a_filename, raw_data=True)
+memory_store = zarr.group()
+# Dataset was raw loaded from netcdf and save in zarr
+a_raw.to_zarr(memory_store, chunck_size=100000)
+# We load zarr data without raw option
+a_zarr = EddiesObservations.load_from_zarr(memory_store)
+c = EddiesObservations.load_file(c_filename)
 
 
 def test_merge():
@@ -10,5 +21,15 @@ def test_merge():
     assert len(new) == len(a) + len(c)
 
 
-# def test_write():
-#     with Dataset
+def test_zarr_raw():
+    assert a == a_zarr
+
+
+def test_index():
+    a_nc_subset = EddiesObservations.load_file(
+        a_filename, indexs=dict(obs=slice(500, 1000))
+    )
+    a_zarr_subset = EddiesObservations.load_from_zarr(
+        memory_store, indexs=dict(obs=slice(500, 1000)), buffer_size=50
+    )
+    assert a_nc_subset == a_zarr_subset
diff --git a/tests/test_track.py b/tests/test_track.py
new file mode 100644
index 00000000..e69de29b

From f8bbcfcfad5fd826ee4ebceb9ee8b19ac388d62b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 9 Nov 2020 14:53:12 +0100
Subject: [PATCH 159/441] Allow to set options in yaml file for tracking

---
 .../featured_tracking/area_tracker.py         |   9 +-
 .../old_tracker_reference.py                  |   3 +
 .../observations/observation.py               |  29 +-
 src/py_eddy_tracker/tracking.py               | 251 ++++++++++--------
 src/scripts/EddyTracking                      |   3 +
 tests/test_track.py                           |  48 ++++
 6 files changed, 231 insertions(+), 112 deletions(-)

diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index b475f52c..f53924e5 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -6,6 +6,13 @@
 
 
 class AreaTracker(Model):
+
+    __slots__ = ("cmin",)
+
+    def __init__(self, *args, cmin=0.2, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.cmin = cmin
+
     @classmethod
     def needed_variable(cls):
         vars = ["longitude", "latitude"]
@@ -17,7 +24,7 @@ def tracking(self, other):
         i, j, c = self.match(other, intern=False)
         cost_mat = ma.empty(shape, dtype="f4")
         cost_mat.mask = ma.ones(shape, dtype="bool")
-        m = c > 0.2
+        m = c > self.cmin
         i, j, c = i[m], j[m], c[m]
         cost_mat[i, j] = 1 - c
 
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 7a69e1b0..55d83b88 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -6,6 +6,9 @@
 
 
 class CheltonTracker(Model):
+
+    __slots__ = tuple()
+
     GROUND = RegularGridDataset(
         path.join(path.dirname(__file__), "../data/mask_1_60.nc"), "lon", "lat"
     )
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 2d16fb9a..9e5fb736 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -539,6 +539,16 @@ def distance(self, other):
         other eddies."""
         return distance_grid(self.lon, self.lat, other.lon, other.lat)
 
+    def __copy__(self):
+        eddies = self.new_like(self, len(self))
+        for k in self.obs.dtype.names:
+            eddies[k][:] = self[k][:]
+        eddies.sign_type = self.sign_type
+        return eddies
+
+    def copy(self):
+        return self.__copy__()
+
     @staticmethod
     def new_like(eddies, new_size: int):
         return eddies.__class__(
@@ -599,6 +609,8 @@ def load_file(cls, filename, **kwargs):
         filename_ = (
             filename.filename if isinstance(filename, ExFileObject) else filename
         )
+        if isinstance(filename, zarr.storage.MutableMapping):
+            return cls.load_from_zarr(filename, **kwargs)
         end = b".zarr" if isinstance(filename_, bytes) else ".zarr"
         if filename_.endswith(end):
             return cls.load_from_zarr(filename, **kwargs)
@@ -614,6 +626,7 @@ def load_from_zarr(
         include_vars=None,
         indexs=None,
         buffer_size=5000000,
+        **class_kwargs,
     ):
         """Load data from zarr.
 
@@ -623,6 +636,7 @@ def load_from_zarr(
         :param None,list(str) include_vars: If defined only this variable will be loaded
         :param None,dict indexs: Indexs to laad only a slice of data
         :param int buffer_size: Size of buffer used to load zarr data
+        :param class_kwargs: argument to set up observations class
         :return: Obsevations selected
         :return type: class
         """
@@ -667,6 +681,7 @@ def load_from_zarr(
         kwargs["only_variables"] = (
             None if include_vars is None else [VAR_DESCR_inv[i] for i in include_vars]
         )
+        kwargs.update(class_kwargs)
         eddies = cls(size=nb_obs, **kwargs)
         for variable in var_list:
             var_inv = VAR_DESCR_inv[variable]
@@ -727,7 +742,7 @@ def copy_data_to_zarr(
         if i_stop is None:
             i_stop = handler_zarr.shape[0]
         for i in range(i_start, i_stop, buffer_size):
-            sl_in = slice(i, i + buffer_size)
+            sl_in = slice(i, min(i + buffer_size, i_stop))
             data = handler_zarr[sl_in]
             if factor != 1:
                 data *= factor
@@ -741,7 +756,13 @@ def copy_data_to_zarr(
 
     @classmethod
     def load_from_netcdf(
-        cls, filename, raw_data=False, remove_vars=None, include_vars=None, indexs=None
+        cls,
+        filename,
+        raw_data=False,
+        remove_vars=None,
+        include_vars=None,
+        indexs=None,
+        **class_kwargs,
     ):
         """Load data from netcdf.
 
@@ -750,6 +771,7 @@ def load_from_netcdf(
         :param None,list(str) remove_vars: List of variable name which will be not loaded
         :param None,list(str) include_vars: If defined only this variable will be loaded
         :param None,dict indexs: Indexs to laad only a slice of data
+        :param class_kwargs: argument to set up observations class
         :return: Obsevations selected
         :return type: class
         """
@@ -799,6 +821,7 @@ def load_from_netcdf(
                 if include_vars is None
                 else [VAR_DESCR_inv[i] for i in include_vars]
             )
+            kwargs.update(class_kwargs)
             eddies = cls(size=nb_obs, **kwargs)
             for variable in var_list:
                 var_inv = VAR_DESCR_inv[variable]
@@ -1439,7 +1462,7 @@ def create_variable_zarr(
         add_offset=None,
         filters=None,
         compressor=None,
-        chunck_size=2500000
+        chunck_size=2500000,
     ):
         kwargs_variable["shape"] = data.shape
         kwargs_variable["compressor"] = (
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index bde06ddc..3aab2f0d 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -27,6 +27,7 @@
 from netCDF4 import Dataset, default_fillvals
 import logging
 import platform
+import json
 from numba import njit, types as numba_types
 
 logger = logging.getLogger("pet")
@@ -57,12 +58,18 @@ class Correspondances(list):
     N_DTYPE = "u2"
 
     def __init__(
-        self, datasets, virtual=0, class_method=None, previous_correspondance=None
+        self,
+        datasets,
+        virtual=0,
+        class_method=None,
+        class_kw=None,
+        previous_correspondance=None,
     ):
         """Initiate tracking
 
         :param list(str) datasets: A sorted list of filename which contains eddy observations to track
         :param class class_method: A class which tell how to track
+        :param dict class_kw: keyword argument to setup class
         :param Correspondances previous_correspondance: A previous correspondance object if you want continue tracking
         """
         super().__init__()
@@ -77,6 +84,7 @@ def __init__(
             self.class_method = EddiesObservations
         else:
             self.class_method = class_method
+        self.class_kw = dict() if class_kw is None else class_kw
 
         # To count ID
         self.current_id = 0
@@ -122,6 +130,7 @@ def _copy(self):
             datasets=self.datasets,
             virtual=self.nb_virtual,
             class_method=self.class_method,
+            class_kw=self.class_kw,
             previous_correspondance=self.filename_previous_correspondance,
         )
         for i in self:
@@ -158,6 +167,8 @@ def swap_dataset(self, dataset, *args, **kwargs):
         """
         self.previous2_obs = self.previous_obs
         self.previous_obs = self.current_obs
+        kwargs = kwargs.copy()
+        kwargs.update(self.class_kw)
         self.current_obs = self.class_method.load_file(dataset, *args, **kwargs)
 
     def merge_correspondance(self, other):
@@ -323,7 +334,7 @@ def load_state(self):
             for correspondance in self.previous_correspondance[:first_dataset]:
                 self.append(correspondance)
             self.current_obs = self.class_method.load_file(
-                self.datasets[first_dataset - 2]
+                self.datasets[first_dataset - 2], **self.class_kw
             )
             flg_virtual = self.previous_correspondance.virtual
             with Dataset(self.filename_previous_correspondance) as general_handler:
@@ -381,89 +392,99 @@ def track(self):
             if self.virtual:
                 flg_virtual = True
 
-    def save(self, filename, dict_completion=None):
-        self.prepare_merging()
+    def to_netcdf(self, handler):
         nb_step = len(self.datasets) - 1
-        if isinstance(dict_completion, dict):
-            filename = filename.format(**dict_completion)
-        logger.info("Create correspondance file %s", filename)
-        with Dataset(filename, "w", format="NETCDF4") as h_nc:
-            # Create dimensions
-            logger.debug('Create Dimensions "Nlink" : %d', self.nb_link_max)
-            h_nc.createDimension("Nlink", self.nb_link_max)
+        logger.info("Create correspondance file")
+        # Create dimensions
+        logger.debug('Create Dimensions "Nlink" : %d', self.nb_link_max)
+        handler.createDimension("Nlink", self.nb_link_max)
+
+        logger.debug('Create Dimensions "Nstep" : %d', nb_step)
+        handler.createDimension("Nstep", nb_step)
+        var_file_in = handler.createVariable(
+            zlib=True,
+            complevel=1,
+            varname="FileIn",
+            datatype="S1024",
+            dimensions="Nstep",
+        )
+        var_file_out = handler.createVariable(
+            zlib=True,
+            complevel=1,
+            varname="FileOut",
+            datatype="S1024",
+            dimensions="Nstep",
+        )
 
-            logger.debug('Create Dimensions "Nstep" : %d', nb_step)
-            h_nc.createDimension("Nstep", nb_step)
-            var_file_in = h_nc.createVariable(
-                zlib=True,
-                complevel=1,
-                varname="FileIn",
-                datatype="S1024",
-                dimensions="Nstep",
-            )
-            var_file_out = h_nc.createVariable(
-                zlib=True,
-                complevel=1,
-                varname="FileOut",
-                datatype="S1024",
-                dimensions="Nstep",
-            )
-            for i, dataset in enumerate(self.datasets[:-1]):
-                var_file_in[i] = dataset
-                var_file_out[i] = self.datasets[i + 1]
+        def get_filename(dataset):
+            if not isinstance(dataset, str) or not isinstance(dataset, bytes):
+                return "In memory file"
+            return dataset
+
+        for i, dataset in enumerate(self.datasets[:-1]):
+            var_file_in[i] = get_filename(dataset)
+            var_file_out[i] = get_filename(self.datasets[i + 1])
+
+        var_nb_link = handler.createVariable(
+            zlib=True,
+            complevel=1,
+            varname="nb_link",
+            datatype="u2",
+            dimensions="Nstep",
+        )
 
-            var_nb_link = h_nc.createVariable(
+        datas = dict()
+        for name, dtype in self.correspondance_dtype:
+            if dtype is bool_:
+                dtype = "u1"
+            kwargs_cv = dict()
+            if "u1" in dtype:
+                kwargs_cv["fill_value"] = (255,)
+            handler.createVariable(
                 zlib=True,
                 complevel=1,
-                varname="nb_link",
-                datatype="u2",
-                dimensions="Nstep",
+                varname=name,
+                datatype=dtype,
+                dimensions=("Nstep", "Nlink"),
+                **kwargs_cv
             )
+            datas[name] = ma.empty((nb_step, self.nb_link_max), dtype=dtype)
+            datas[name].mask = datas[name] == datas[name]
 
-            datas = dict()
-            for name, dtype in self.correspondance_dtype:
-                if dtype is bool_:
-                    dtype = "u1"
-                kwargs_cv = dict()
-                if "u1" in dtype:
-                    kwargs_cv["fill_value"] = (255,)
-                h_nc.createVariable(
-                    zlib=True,
-                    complevel=1,
-                    varname=name,
-                    datatype=dtype,
-                    dimensions=("Nstep", "Nlink"),
-                    **kwargs_cv
-                )
-                datas[name] = ma.empty((nb_step, self.nb_link_max), dtype=dtype)
-                datas[name].mask = datas[name] == datas[name]
-
-            for i, correspondance in enumerate(self):
-                logger.debug("correspondance %d", i)
-                nb_elt = correspondance.shape[0]
-                var_nb_link[i] = nb_elt
-                for name, _ in self.correspondance_dtype:
-                    datas[name][i, :nb_elt] = correspondance[name]
-            for name, data in datas.items():
-                h_v = h_nc.variables[name]
-                h_v[:] = data
-                if "File" not in name:
-                    h_v.min = h_v[:].min()
-                    h_v.max = h_v[:].max()
-
-            h_nc.virtual_use = str(self.virtual)
-            h_nc.virtual_max_segment = self.nb_virtual
-            h_nc.last_current_id = self.current_id
-            if self.virtual_obs is not None:
-                group = h_nc.createGroup("LastVirtualObs")
-                self.virtual_obs.to_netcdf(group)
-                group = h_nc.createGroup("LastPreviousVirtualObs")
-                self.previous_virtual_obs.to_netcdf(group)
-            h_nc.module = self.class_method.__module__
-            h_nc.classname = self.class_method.__qualname__
-            h_nc.node = platform.node()
+        for i, correspondance in enumerate(self):
+            logger.debug("correspondance %d", i)
+            nb_elt = correspondance.shape[0]
+            var_nb_link[i] = nb_elt
+            for name, _ in self.correspondance_dtype:
+                datas[name][i, :nb_elt] = correspondance[name]
+        for name, data in datas.items():
+            h_v = handler.variables[name]
+            h_v[:] = data
+            if "File" not in name:
+                h_v.min = h_v[:].min()
+                h_v.max = h_v[:].max()
+
+        handler.virtual_use = str(self.virtual)
+        handler.virtual_max_segment = self.nb_virtual
+        handler.last_current_id = self.current_id
+        if self.virtual_obs is not None:
+            group = handler.createGroup("LastVirtualObs")
+            self.virtual_obs.to_netcdf(group)
+            group = handler.createGroup("LastPreviousVirtualObs")
+            self.previous_virtual_obs.to_netcdf(group)
+        handler.module = self.class_method.__module__
+        handler.classname = self.class_method.__qualname__
+        handler.class_kw = json.dumps(self.class_kw)
+        handler.node = platform.node()
         logger.info("Create correspondance file done")
 
+    def save(self, filename, dict_completion=None):
+        self.prepare_merging()
+        if isinstance(dict_completion, dict):
+            filename = filename.format(**dict_completion)
+        with Dataset(filename, "w", format="NETCDF4") as h_nc:
+            self.to_netcdf(h_nc)
+
     def load_compatible(self, filename):
         if filename is None:
             return None
@@ -482,41 +503,55 @@ def load_compatible(self, filename):
         return previous_correspondance
 
     @classmethod
-    def load(cls, filename):
-        logger.info("Try load %s", filename)
-        with Dataset(filename, "r", format="NETCDF4") as h_nc:
-            datas = {varname: data[:] for varname, data in h_nc.variables.items()}
+    def from_netcdf(cls, handler):
+        datas = {varname: data[:] for varname, data in handler.variables.items()}
 
-            datasets = list(datas["FileIn"])
-            datasets.append(datas["FileOut"][-1])
+        datasets = list(datas["FileIn"])
+        datasets.append(datas["FileOut"][-1])
 
-            if hasattr(h_nc, "module"):
-                class_method = getattr(
-                    __import__(h_nc.module, globals(), locals(), h_nc.classname),
-                    h_nc.classname,
-                )
-            else:
-                class_method = None
-            logger.info("File %s load with class %s", filename, class_method)
-            obj = cls(datasets, h_nc.virtual_max_segment, class_method=class_method)
+        if hasattr(handler, "module"):
+            class_method = getattr(
+                __import__(handler.module, globals(), locals(), handler.classname),
+                handler.classname,
+            )
+            class_kw = getattr(handler, "class_kw", dict())
+            if isinstance(class_kw, str):
+                class_kw = json.loads(class_kw)
+        else:
+            class_method = None
+            class_kw = dict()
+        logger.info("File load with class %s(%s)", class_method, class_kw)
+        obj = cls(
+            datasets,
+            handler.virtual_max_segment,
+            class_method=class_method,
+            class_kw=class_kw,
+        )
 
-            id_max = 0
-            for i, nb_elt in enumerate(datas["nb_link"][:]):
-                logger.debug(
-                    "Link between %s and %s", datas["FileIn"][i], datas["FileOut"][i]
-                )
-                correspondance = array(
-                    datas["in"][i, :nb_elt], dtype=obj.correspondance_dtype
-                )
-                for name, _ in obj.correspondance_dtype:
-                    if name == "in":
-                        continue
-                    if name == "virtual_length":
-                        correspondance[name] = 255
-                    correspondance[name] = datas[name][i, :nb_elt]
-                id_max = max(id_max, correspondance["id"].max())
-                obj.append(correspondance)
-            obj.current_id = id_max + 1
+        id_max = 0
+        for i, nb_elt in enumerate(datas["nb_link"][:]):
+            logger.debug(
+                "Link between %s and %s", datas["FileIn"][i], datas["FileOut"][i]
+            )
+            correspondance = array(
+                datas["in"][i, :nb_elt], dtype=obj.correspondance_dtype
+            )
+            for name, _ in obj.correspondance_dtype:
+                if name == "in":
+                    continue
+                if name == "virtual_length":
+                    correspondance[name] = 255
+                correspondance[name] = datas[name][i, :nb_elt]
+            id_max = max(id_max, correspondance["id"].max())
+            obj.append(correspondance)
+        obj.current_id = id_max + 1
+        return obj
+
+    @classmethod
+    def load(cls, filename):
+        logger.info("Loading %s", filename)
+        with Dataset(filename, "r", format="NETCDF4") as h_nc:
+            obj = cls.from_netcdf(h_nc)
         return obj
 
     def prepare_merging(self):
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index a1c268bc..c2e6bd86 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -156,12 +156,14 @@ if __name__ == "__main__":
         CORRESPONDANCES_OUT = "{path}/{sign_type}_correspondances.nc"
 
     CLASS = None
+    CLASS_KW = dict()
     if "CLASS" in CONFIG:
         CLASSNAME = CONFIG["CLASS"]["CLASS"]
         CLASS = getattr(
             __import__(CONFIG["CLASS"]["MODULE"], globals(), locals(), CLASSNAME),
             CLASSNAME,
         )
+        CLASS_KW = CONFIG["CLASS"].get("OPTIONS", dict())
 
     NB_VIRTUAL_OBS_MAX_BY_SEGMENT = int(CONFIG.get("VIRTUAL_LENGTH_MAX", 0))
 
@@ -199,6 +201,7 @@ if __name__ == "__main__":
         datasets=DATASET_LIST["filename"],
         virtual=NB_VIRTUAL_OBS_MAX_BY_SEGMENT,
         class_method=CLASS,
+        class_kw=CLASS_KW,
         previous_correspondance=CORRESPONDANCES_IN,
     )
     CORRESPONDANCES.track()
diff --git a/tests/test_track.py b/tests/test_track.py
index e69de29b..e4db4b57 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -0,0 +1,48 @@
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.tracking import Correspondances
+from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
+import zarr
+from netCDF4 import Dataset
+
+filename = get_path("Anticyclonic_20190223.nc")
+a0 = EddiesObservations.load_file(filename)
+a1 = a0.copy()
+
+
+def test_area_tracking_parameter():
+    delta = 0.2
+    # All eddies will be shift of delta in longitude and latitude
+    for k in (
+        "lon",
+        "lon_max",
+        "contour_lon_s",
+        "contour_lon_e",
+        "lat",
+        "lat_max",
+        "contour_lat_s",
+        "contour_lat_e",
+    ):
+        a1[k][:] -= delta
+    a1.time[:] += 1
+    # wrote in memory a0 and a1
+    h0, h1 = zarr.group(), zarr.group()
+    a0.to_zarr(h0), a1.to_zarr(h1)
+    cmin = 0.5
+    class_kw = dict(cmin=cmin)
+    c = Correspondances(datasets=(h0, h1), class_method=AreaTracker, class_kw=class_kw)
+    c.track()
+    c.prepare_merging()
+    # We have now an eddy object
+    eddies_tracked = c.merge(raw_data=False)
+    cost = eddies_tracked.cost_association
+    m = cost < 1
+    assert cost[m].max() <= (1 - cmin)
+
+    # Try to save netcdf
+    with Dataset("tata", mode="w", diskless=True) as h:
+        c.to_netcdf(h)
+        c_reloaded = Correspondances.from_netcdf(h)
+        assert class_kw == c_reloaded.class_kw
+
+

From 5f88d06418abd1531f93fbe2f5643050712cffc3 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 9 Nov 2020 14:55:07 +0100
Subject: [PATCH 160/441] Allow to subset before bins stat

---
 src/py_eddy_tracker/observations/observation.py | 11 ++++++++---
 tests/test_track.py                             |  2 --
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 9e5fb736..d6d844ed 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1688,24 +1688,29 @@ def filled(
         c.norm = Normalize(vmin=vmin, vmax=vmax)
         return c
 
-    def bins_stat(self, xname, bins=None, yname=None, method=None):
+    def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         """
         :param str,array xname: variable to compute stats on
         :param array, None bins: bins to perform statistics, if None bins = arange(variable.min(), variable.max() + 2)
-        :param None,str yname: variable used to apply method
+        :param None,str,array yname: variable used to apply method
         :param None,str method: If None method counts the number of observations in each bin, can be "mean", "std"
+        :param None,array(bool) mask: If defined use only True position
         :return: x array and y array
         :rtype: array,array
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
         """
         v = self[xname] if isinstance(xname, str) else xname
+        if mask is not None:
+            v = v[mask]
         if bins is None:
             bins = arange(v.min(), v.max() + 2)
         y, x = hist_numba(v, bins=bins)
         x = (x[1:] + x[:-1]) / 2
         if method == "mean":
-            y_v = self[yname]
+            y_v = self[yname] if isinstance(yname, str) else yname
+            if mask is not None:
+                y_v = y_v[mask]
             y_, _ = histogram(v, bins=bins, weights=y_v)
             y = y_ / y
         return x, y
diff --git a/tests/test_track.py b/tests/test_track.py
index e4db4b57..77cf0bfe 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -44,5 +44,3 @@ def test_area_tracking_parameter():
         c.to_netcdf(h)
         c_reloaded = Correspondances.from_netcdf(h)
         assert class_kw == c_reloaded.class_kw
-
-

From 663d58326384e26a19d2a8d5d8d67764a81ecba2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 9 Nov 2020 18:22:49 +0100
Subject: [PATCH 161/441] sorting import and blackdoc/black apply

---
 .../pet_contour_circle.py                     |   3 +-
 .../02_eddy_identification/pet_display_id.py  |   3 +-
 .../pet_eddy_detection.py                     |   6 +-
 .../pet_eddy_detection_gulf_stream.py         |   6 +-
 .../pet_filter_and_detection.py               |  10 +-
 .../pet_interp_grid_on_dataset.py             |   3 +-
 .../pet_radius_vs_area.py                     |   9 +-
 .../pet_shape_gallery.py                      |   5 +-
 .../02_eddy_identification/pet_sla_and_adt.py |   8 +-
 examples/06_grid_manipulation/pet_filter.py   |   9 +-
 .../pet_hide_pixel_out_eddies.py              |   5 +-
 .../06_grid_manipulation/pet_okubo_weiss.py   |   5 +-
 .../pet_display_field.py                      |   3 +-
 .../pet_display_track.py                      |   3 +-
 .../08_tracking_manipulation/pet_one_track.py |   3 +-
 .../pet_run_a_tracking.py                     |   3 +-
 .../pet_select_track_across_area.py           |  19 ++-
 .../pet_track_anim.py                         |   5 +-
 .../pet_track_anim_matplotlib_animation.py    |   5 +-
 .../pet_birth_and_death.py                    |   3 +-
 .../pet_center_count.py                       |   3 +-
 .../pet_geographic_stats.py                   |   3 +-
 examples/10_tracking_diagnostics/pet_histo.py |   5 +-
 .../10_tracking_diagnostics/pet_lifetime.py   |   5 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |   3 +-
 .../pet_propagation.py                        |   7 +-
 .../12_external_data/pet_SST_collocation.py   |   6 +-
 src/py_eddy_tracker/__init__.py               |  58 +++++--
 src/py_eddy_tracker/appli/eddies.py           |   4 +-
 src/py_eddy_tracker/appli/grid.py             |   1 +
 src/py_eddy_tracker/appli/gui.py              |  12 +-
 src/py_eddy_tracker/appli/misc.py             |   1 +
 src/py_eddy_tracker/appli/network.py          |  20 ++-
 src/py_eddy_tracker/data/__init__.py          |   7 +-
 src/py_eddy_tracker/dataset/grid.py           | 153 ++++++++---------
 src/py_eddy_tracker/eddy_feature.py           |  33 ++--
 .../featured_tracking/area_tracker.py         |   6 +-
 .../old_tracker_reference.py                  |  38 +++--
 src/py_eddy_tracker/generic.py                |  27 +--
 src/py_eddy_tracker/gui.py                    |  12 +-
 src/py_eddy_tracker/observations/network.py   |   9 +-
 .../observations/observation.py               | 155 +++++++++---------
 src/py_eddy_tracker/observations/tracking.py  |  52 +++---
 src/py_eddy_tracker/poly.py                   |  16 +-
 src/py_eddy_tracker/tracking.py               |  65 ++++----
 src/scripts/EddyFinalTracking                 |   9 +-
 src/scripts/EddyMergeCorrespondances          |   9 +-
 src/scripts/EddySubSetter                     |   3 +-
 src/scripts/EddyTracking                      |  19 ++-
 src/scripts/EddyTranslate                     |   5 +-
 tests/test_grid.py                            |  15 +-
 tests/test_id.py                              |   5 +-
 tests/test_obs.py                             |   3 +-
 tests/test_poly.py                            |   3 +-
 tests/test_track.py                           |   9 +-
 55 files changed, 508 insertions(+), 389 deletions(-)

diff --git a/examples/02_eddy_identification/pet_contour_circle.py b/examples/02_eddy_identification/pet_contour_circle.py
index 45f1554d..197ae357 100644
--- a/examples/02_eddy_identification/pet_contour_circle.py
+++ b/examples/02_eddy_identification/pet_contour_circle.py
@@ -5,8 +5,9 @@
 """
 
 from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.observation import EddiesObservations
+
 from py_eddy_tracker import data
+from py_eddy_tracker.observations.observation import EddiesObservations
 
 # %%
 # Load detection files
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index ed364320..14996024 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -5,8 +5,9 @@
 """
 
 from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.observation import EddiesObservations
+
 from py_eddy_tracker import data
+from py_eddy_tracker.observations.observation import EddiesObservations
 
 # %%
 # Load detection files
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index d380bf28..ce4721ca 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -7,11 +7,13 @@
 Figures will show different step to detect eddies.
 
 """
-from numpy import arange
 from datetime import datetime
+
 from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
+from numpy import arange
+
 from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
 
 
 # %%
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index 25a460e1..7566a86f 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -7,11 +7,13 @@
 Figures will show different step to detect eddies.
 
 """
-from numpy import arange
 from datetime import datetime
+
 from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
+from numpy import arange
+
 from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.eddy_feature import Contours
 
 
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index b2ae8c70..2ff62600 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -4,11 +4,13 @@
 
 """
 from datetime import datetime
+
 from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker import data
 from numpy import arange
 
+from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 
 # %%
 def start_axes(title):
@@ -31,7 +33,9 @@ def update_axes(ax, mappable=None):
 # Add a new filed to store the high-pass filtered ADT
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 g.add_uv("adt")
 g.copy("adt", "adt_high")
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index 76b66b0d..52a24ee9 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -5,9 +5,10 @@
 """
 
 from matplotlib import pyplot as plt
+
+from py_eddy_tracker import data
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.observations.observation import EddiesObservations
-from py_eddy_tracker import data
 
 
 # %%
diff --git a/examples/02_eddy_identification/pet_radius_vs_area.py b/examples/02_eddy_identification/pet_radius_vs_area.py
index ce94fc25..0239ebe7 100644
--- a/examples/02_eddy_identification/pet_radius_vs_area.py
+++ b/examples/02_eddy_identification/pet_radius_vs_area.py
@@ -4,13 +4,12 @@
 
 """
 from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.observation import EddiesObservations
-from py_eddy_tracker import data
+from numpy import array, pi
 
-from py_eddy_tracker.poly import poly_area
+from py_eddy_tracker import data
 from py_eddy_tracker.generic import coordinates_to_local
-from numpy import pi, array
-
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.poly import poly_area
 
 # %%
 # Load detection files
diff --git a/examples/02_eddy_identification/pet_shape_gallery.py b/examples/02_eddy_identification/pet_shape_gallery.py
index cc8d2242..4e37d727 100644
--- a/examples/02_eddy_identification/pet_shape_gallery.py
+++ b/examples/02_eddy_identification/pet_shape_gallery.py
@@ -6,9 +6,10 @@
 
 """
 from matplotlib import pyplot as plt
-from numpy import arange, radians, linspace, cos, sin
-from py_eddy_tracker.dataset.grid import RegularGridDataset
+from numpy import arange, cos, linspace, radians, sin
+
 from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.eddy_feature import Contours
 from py_eddy_tracker.generic import local_to_coordinates
 
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index ee9f97ff..b7e43f72 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -4,9 +4,11 @@
 
 """
 from datetime import datetime
+
 from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
 
 
 # %%
@@ -29,7 +31,9 @@ def update_axes(ax, mappable=None):
 # Load Input grid, ADT will be used to detect eddies
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 g.add_uv("adt", "ugos", "vgos")
 g.add_uv("sla", "ugosa", "vgosa")
diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index 38a365c9..f6c2a1b9 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -7,11 +7,12 @@
 We code a specific filter in order to filter grid with same wavelength at each pixel.
 """
 
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker import data
 from matplotlib import pyplot as plt
 from numpy import arange
 
+from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 
 def start_axes(title):
     fig = plt.figure(figsize=(13, 5))
@@ -31,7 +32,9 @@ def update_axes(ax, mappable=None):
 # %%
 # All information will be for regular grid
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 # %%
 # Kernel
diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
index 00c9c665..58a31374 100644
--- a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -7,10 +7,11 @@
 from matplotlib import pyplot as plt
 from matplotlib.path import Path
 from numpy import ones
-from py_eddy_tracker.observations.observation import EddiesObservations
+
+from py_eddy_tracker import data
 from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.poly import create_vertice
-from py_eddy_tracker import data
 
 # %%
 # Load an eddy file which contains contours
diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
index 30b51374..577178c5 100644
--- a/examples/06_grid_manipulation/pet_okubo_weiss.py
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -13,10 +13,11 @@
 
 """
 from matplotlib import pyplot as plt
+from numpy import arange, ma, where
+
+from py_eddy_tracker import data
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.observations.observation import EddiesObservations
-from py_eddy_tracker import data
-from numpy import arange, ma, where
 
 
 # %%
diff --git a/examples/08_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
index c21c25f4..b1add536 100644
--- a/examples/08_tracking_manipulation/pet_display_field.py
+++ b/examples/08_tracking_manipulation/pet_display_field.py
@@ -4,9 +4,10 @@
 
 """
 
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load an experimental cyclonic atlas, we keep only eddies which are follow more than 180 days
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index 46e17a0f..c73c0832 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -4,9 +4,10 @@
 
 """
 
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load experimental atlas
diff --git a/examples/08_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
index 86097483..54aef3f1 100644
--- a/examples/08_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -2,9 +2,10 @@
 One Track
 ===================
 """
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load experimental atlas, and we select one eddy
diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
index 81d30fe2..f7ac5ca9 100644
--- a/examples/08_tracking_manipulation/pet_run_a_tracking.py
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -8,10 +8,9 @@
 # %%
 
 from py_eddy_tracker.data import get_remote_sample
-from py_eddy_tracker.tracking import Correspondances
 from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
 from py_eddy_tracker.gui import GUI
-
+from py_eddy_tracker.tracking import Correspondances
 
 # %%
 # Get remote data, we will keep only 180 first days,
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index ca3c3c72..b4812be2 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -3,9 +3,10 @@
 ============================
 
 """
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load experimental atlas, we filter position to have nice display
@@ -31,8 +32,20 @@
 c.plot(ax, color="gray", lw=0.1, ref=-10, label="all tracks")
 c_subset.plot(ax, color="red", lw=0.2, ref=-10, label="selected tracks")
 ax.plot(
-    (x0, x0, x1, x1, x0,),
-    (y0, y1, y1, y0, y0,),
+    (
+        x0,
+        x0,
+        x1,
+        x1,
+        x0,
+    ),
+    (
+        y0,
+        y1,
+        y1,
+        y0,
+        y0,
+    ),
     color="green",
     lw=1.5,
     label="Box of selection",
diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index 753b91c5..b563cdda 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -5,10 +5,11 @@
 Run in a terminal this script, which allow to watch eddy evolution
 
 """
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.appli.gui import Anim
 import py_eddy_tracker_sample
 
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index f64c3af3..3fb04450 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -5,12 +5,13 @@
 Run in a terminal this script, which allow to watch eddy evolution
 
 """
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.appli.gui import Anim
 import py_eddy_tracker_sample
 from matplotlib.animation import FuncAnimation
 from numpy import arange
 
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
diff --git a/examples/10_tracking_diagnostics/pet_birth_and_death.py b/examples/10_tracking_diagnostics/pet_birth_and_death.py
index cce5e863..612c32f7 100644
--- a/examples/10_tracking_diagnostics/pet_birth_and_death.py
+++ b/examples/10_tracking_diagnostics/pet_birth_and_death.py
@@ -5,9 +5,10 @@
 Following figures are based on https://doi.org/10.1016/j.pocean.2011.01.002
 
 """
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 
 # %%
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 1c113a43..324a4a87 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -3,10 +3,11 @@
 ============
 
 """
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from matplotlib.colors import LogNorm
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
index d7b79a43..137133b3 100644
--- a/examples/10_tracking_diagnostics/pet_geographic_stats.py
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -4,9 +4,10 @@
 
 """
 
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 
 def start_axes(title):
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index d3df936b..cd7abf49 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -3,11 +3,12 @@
 ===================
 
 """
-from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
 from numpy import arange
 
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
diff --git a/examples/10_tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
index 8a73f7ca..95f75718 100644
--- a/examples/10_tracking_diagnostics/pet_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_lifetime.py
@@ -3,11 +3,12 @@
 ===================
 
 """
-from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
 from numpy import arange, ones
 
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 912eeb3c..c3c80469 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -3,10 +3,11 @@
 ======================
 
 """
+import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from matplotlib.colors import LogNorm
+
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import py_eddy_tracker_sample
 
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index 5af063b3..f13b03bb 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -3,12 +3,13 @@
 =====================
 
 """
-from matplotlib import pyplot as plt
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-from py_eddy_tracker.generic import cumsum_by_track
 import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
 from numpy import arange, ones
 
+from py_eddy_tracker.generic import cumsum_by_track
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
diff --git a/examples/12_external_data/pet_SST_collocation.py b/examples/12_external_data/pet_SST_collocation.py
index dececb3f..ebe53905 100644
--- a/examples/12_external_data/pet_SST_collocation.py
+++ b/examples/12_external_data/pet_SST_collocation.py
@@ -8,10 +8,12 @@
 Figures higlights the different steps.
 """
 
-from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
 from datetime import datetime
+
+from matplotlib import pyplot as plt
+
 from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
 
 date = datetime(2016, 7, 7)
 
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index bc8cd977..ce53320d 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -20,9 +20,11 @@
 
 """
 
-from argparse import ArgumentParser
 import logging
+from argparse import ArgumentParser
+
 import zarr
+
 from ._version import get_versions
 
 __version__ = get_versions()["version"]
@@ -67,16 +69,14 @@ def format(self, record):
 
 
 class EddyParser(ArgumentParser):
-    """General parser for applications
-    """
+    """General parser for applications"""
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.add_base_argument()
 
     def add_base_argument(self):
-        """Base arguments
-        """
+        """Base arguments"""
         self.add_argument(
             "-v",
             "--verbose",
@@ -149,7 +149,10 @@ def parse_args(self, *args, **kwargs):
         output_type="uint16",
         scale_factor=50.0,
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Distance to next position", units="m",),
+        nc_attr=dict(
+            long_name="Distance to next position",
+            units="m",
+        ),
     ),
     virtual=dict(
         attr_name=None,
@@ -301,14 +304,18 @@ def parse_args(self, *args, **kwargs):
         nc_name="i",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Longitude index in the grid of the detection",),
+        nc_attr=dict(
+            long_name="Longitude index in the grid of the detection",
+        ),
     ),
     j=dict(
         attr_name="j",
         nc_name="j",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Latitude index in the grid of the detection",),
+        nc_attr=dict(
+            long_name="Latitude index in the grid of the detection",
+        ),
     ),
     eke=dict(
         attr_name="eke",
@@ -357,7 +364,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Trajectory number", comment="Trajectory identification number",
+            long_name="Trajectory number",
+            comment="Trajectory identification number",
         ),
     ),
     sub_track=dict(
@@ -366,7 +374,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Segment Number", comment="Segment number inside a group",
+            long_name="Segment Number",
+            comment="Segment number inside a group",
         ),
     ),
     n=dict(
@@ -489,7 +498,11 @@ def parse_args(self, *args, **kwargs):
         output_type="u1",
         scale_factor=0.4,
         nc_dims=("obs",),
-        nc_attr=dict(units="%", comment="score", long_name="Score",),
+        nc_attr=dict(
+            units="%",
+            comment="score",
+            long_name="Score",
+        ),
     ),
     index_other=dict(
         attr_name=None,
@@ -558,7 +571,10 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Chl"],
         nc_type="f4",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
+        nc_attr=dict(
+            long_name="Log base 10 chlorophyll",
+            units="Log(Chl/[mg/m^3])",
+        ),
     ),
     dchl=dict(
         attr_name=None,
@@ -578,7 +594,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll",
+            units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
@@ -587,7 +604,10 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Year"],
         nc_type="u2",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Year", units="year",),
+        nc_attr=dict(
+            long_name="Year",
+            units="year",
+        ),
     ),
     month=dict(
         attr_name=None,
@@ -595,7 +615,10 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Month"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Month", units="month",),
+        nc_attr=dict(
+            long_name="Month",
+            units="month",
+        ),
     ),
     day=dict(
         attr_name=None,
@@ -603,7 +626,10 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Day"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Day", units="day",),
+        nc_attr=dict(
+            long_name="Day",
+            units="day",
+        ),
     ),
     nb_contour_selected=dict(
         attr_name=None,
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 441aa09f..f59eab90 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -3,10 +3,12 @@
 Applications on detection and tracking files
 """
 import argparse
+
 from netCDF4 import Dataset
+
 from .. import EddyParser
-from ..observations.tracking import TrackEddiesObservations
 from ..observations.observation import EddiesObservations
+from ..observations.tracking import TrackEddiesObservations
 
 
 def eddies_add_circle():
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 15a16c94..7dd9e852 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -3,6 +3,7 @@
 All entry point to manipulate grid
 """
 from datetime import datetime
+
 from .. import EddyParser
 from ..dataset.grid import RegularGridDataset, UnRegularGridDataset
 
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 9e6c505a..ec843400 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -3,15 +3,17 @@
 Entry point of graphic user interface
 """
 
-from numpy import arange, empty, where
+from datetime import datetime
+
 from matplotlib import pyplot
 from matplotlib.collections import LineCollection
-from datetime import datetime
-from ..poly import create_vertice
-from ..generic import flatten_line_matrix
+from numpy import arange, empty, where
+
 from .. import EddyParser
-from ..observations.tracking import TrackEddiesObservations
+from ..generic import flatten_line_matrix
 from ..gui import GUI
+from ..observations.tracking import TrackEddiesObservations
+from ..poly import create_vertice
 
 
 class Anim:
diff --git a/src/py_eddy_tracker/appli/misc.py b/src/py_eddy_tracker/appli/misc.py
index 4e131d3d..ad7a71e5 100644
--- a/src/py_eddy_tracker/appli/misc.py
+++ b/src/py_eddy_tracker/appli/misc.py
@@ -3,6 +3,7 @@
 Entry point with no direct link with eddies
 """
 import argparse
+
 import zarr
 
 
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 0c6e41f1..403a0a9f 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -4,14 +4,16 @@
 """
 
 import logging
+
 from netCDF4 import Dataset
-from numpy import empty, arange, zeros
+from numpy import arange, empty, zeros
 from Polygon import Polygon
-from ..poly import polygon_overlap, create_vertice_from_2darray
+
 from .. import EddyParser
+from ..generic import build_index
 from ..observations.network import Network
 from ..observations.tracking import TrackEddiesObservations
-from ..generic import build_index
+from ..poly import create_vertice_from_2darray, polygon_overlap
 
 logger = logging.getLogger("pet")
 
@@ -19,7 +21,8 @@
 def build_network():
     parser = EddyParser("Merge eddies")
     parser.add_argument(
-        "identification_regex", help="Give an expression which will use with glob",
+        "identification_regex",
+        help="Give an expression which will use with glob",
     )
     parser.add_argument("out", help="output file")
     parser.add_argument(
@@ -59,8 +62,7 @@ def divide_network():
 
 
 def split_network(input, output):
-    """Divide each group in track
-    """
+    """Divide each group in track"""
     sl = slice(None)
     with Dataset(input) as h:
         group = h.variables["track"][sl]
@@ -292,7 +294,11 @@ def display_network(x, y, tr, t, c):
             lw=0.5,
         )
         ax_time.plot(
-            t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+",
+            t[sl],
+            tr[s].repeat(e - s),
+            color=color,
+            lw=1,
+            marker="+",
         )
         ax_time.text(t[s], tr[s] + 0.15, f"{x[s].mean():.2f}, {y[s].mean():.2f}")
         ax_time.axvline(t[s], color=".75", lw=0.5, ls="--", zorder=-10)
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 3380cd24..644cf95d 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -8,11 +8,12 @@
     20160515 adt None None longitude latitude . \
     --cut 800 --fil 1
 """
-from os import path
-import requests
 import io
-import tarfile
 import lzma
+import tarfile
+from os import path
+
+import requests
 
 
 def get_path(name):
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 1cbb73d5..d938ba4e 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -3,67 +3,72 @@
 Class to load and manipulate RegularGrid and UnRegularGrid
 """
 import logging
+from datetime import datetime
+
+from cv2 import filter2D
+from matplotlib.path import Path as BasePath
+from netCDF4 import Dataset
+from numba import njit
+from numba import types as numba_types
 from numpy import (
-    concatenate,
-    empty,
-    where,
+    arange,
     array,
-    sin,
-    deg2rad,
-    pi,
-    ones,
+    ceil,
+    concatenate,
     cos,
-    ma,
-    int8,
-    histogram2d,
-    arange,
-    float_,
-    linspace,
+    deg2rad,
+    empty,
     errstate,
+    exp,
+    float_,
+    histogram2d,
+    int8,
     int_,
     interp,
+    isnan,
+    linspace,
+    ma,
+)
+from numpy import mean as np_mean
+from numpy import (
     meshgrid,
     nan,
-    ceil,
-    sinc,
-    isnan,
+    nanmean,
+    ones,
     percentile,
-    zeros,
+    pi,
     round_,
-    nanmean,
-    exp,
-    mean as np_mean,
+    sin,
+    sinc,
+    where,
+    zeros,
 )
-from datetime import datetime
-from scipy.special import j1
-from netCDF4 import Dataset
-from scipy.ndimage import gaussian_filter, convolve
+from pint import UnitRegistry
 from scipy.interpolate import RectBivariateSpline, interp1d
-from scipy.spatial import cKDTree
+from scipy.ndimage import convolve, gaussian_filter
 from scipy.signal import welch
-from cv2 import filter2D
-from numba import njit, types as numba_types
-from matplotlib.path import Path as BasePath
-from pint import UnitRegistry
-from ..observations.observation import EddiesObservations
-from ..eddy_feature import Amplitude, Contours
+from scipy.spatial import cKDTree
+from scipy.special import j1
+
 from .. import VAR_DESCR
+from ..eddy_feature import Amplitude, Contours
 from ..generic import (
+    bbox_indice_regular,
+    coordinates_to_local,
     distance,
     interp2d_geo,
-    uniform_resample,
-    coordinates_to_local,
     local_to_coordinates,
     nearest_grd_indice,
-    bbox_indice_regular,
+    uniform_resample,
 )
+from ..observations.observation import EddiesObservations
 from ..poly import (
-    poly_contain_poly,
-    winding_number_poly,
     create_vertice,
-    poly_area,
     fit_circle,
     get_pixel_in_regular,
+    poly_area,
+    poly_contain_poly,
+    winding_number_poly,
 )
 
 logger = logging.getLogger("pet")
@@ -296,12 +301,25 @@ def __init__(
         self.interpolators = dict()
         if centered is None:
             logger.warning(
-                "We assume pixel position of grid is center for %s", filename,
+                "We assume pixel position of grid is center for %s",
+                filename,
             )
         if not unset:
             self.load_general_features()
             self.load()
 
+    def get_slice(self, **kwargs):
+        """
+        Get slice for each axes specified
+
+        :param dict kwargs:
+        :return: A dict of slice
+        :rtype: dict[slice]
+        """
+        for k, v in kwargs.items():
+            with Dataset(self.filename) as h:
+                print(k, v)
+
     @property
     def is_centered(self):
         """Give True if pixel is described with its center's position or
@@ -316,8 +334,7 @@ def is_centered(self):
             return self.centered
 
     def load_general_features(self):
-        """Load attrs to  be stored in object
-        """
+        """Load attrs to  be stored in object"""
         logger.debug(
             "Load general feature from %(filename)s", dict(filename=self.filename)
         )
@@ -327,7 +344,10 @@ def load_general_features(self):
             self.variables_description = dict()
             for i, v in h.variables.items():
                 args = (i, v.datatype)
-                kwargs = dict(dimensions=v.dimensions, zlib=True,)
+                kwargs = dict(
+                    dimensions=v.dimensions,
+                    zlib=True,
+                )
                 if hasattr(v, "_FillValue"):
                     kwargs["fill_value"] = (v._FillValue,)
                 attrs = dict()
@@ -429,8 +449,7 @@ def setup_coordinates(self):
                 raise Exception("not write")
 
     def is_circular(self):
-        """Check grid circularity
-        """
+        """Check grid circularity"""
         return False
 
     def units(self, varname):
@@ -518,8 +537,7 @@ def grid(self, varname, indexs=None):
         return self.vars[varname]
 
     def grid_tiles(self, varname, slice_x, slice_y):
-        """Give the grid tiles required, without buffer system
-        """
+        """Give the grid tiles required, without buffer system"""
         coordinates_dims = list(self.x_dim)
         coordinates_dims.extend(list(self.y_dim))
         logger.debug(
@@ -569,8 +587,7 @@ def low_filter(self, grid_name, w_cut, **kwargs):
 
     @property
     def bounds(self):
-        """Give bounds
-        """
+        """Give bounds"""
         return (
             self.x_bounds.min(),
             self.x_bounds.max(),
@@ -968,8 +985,7 @@ def get_uavg(
 
     @staticmethod
     def _gaussian_filter(data, sigma, mode="reflect"):
-        """Standard gaussian filter
-        """
+        """Standard gaussian filter"""
         local_data = data.copy()
         local_data[data.mask] = 0
 
@@ -1001,8 +1017,7 @@ def get_amplitude(
 
 
 class UnRegularGridDataset(GridDataset):
-    """Class managing unregular grid
-    """
+    """Class managing unregular grid"""
 
     __slots__ = (
         "index_interp",
@@ -1010,8 +1025,7 @@ class UnRegularGridDataset(GridDataset):
     )
 
     def load(self):
-        """Load variable (data)
-        """
+        """Load variable (data)"""
         x_name, y_name = self.coordinates
         with Dataset(self.filename) as h:
             self.x_dim = h.variables[x_name].dimensions
@@ -1029,8 +1043,7 @@ def load(self):
 
     @property
     def bounds(self):
-        """Give bound
-        """
+        """Give bound"""
         return self.x_c.min(), self.x_c.max(), self.y_c.min(), self.y_c.max()
 
     def bbox_indice(self, vertices):
@@ -1126,8 +1139,7 @@ def init_speed_coef(self, uname="u", vname="v"):
 
 
 class RegularGridDataset(GridDataset):
-    """Class only for regular grid
-    """
+    """Class only for regular grid"""
 
     __slots__ = (
         "_speed_ev",
@@ -1173,8 +1185,7 @@ def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
         return obj
 
     def init_pos_interpolator(self):
-        """Create function to have a quick index interpolator
-        """
+        """Create function to have a quick index interpolator"""
         self.xinterp = arange(self.x_bounds.shape[0])
         self.yinterp = arange(self.y_bounds.shape[0])
 
@@ -1206,19 +1217,16 @@ def nearest_grd_indice(self, x, y):
 
     @property
     def xstep(self):
-        """Only for regular grid with no step variation
-        """
+        """Only for regular grid with no step variation"""
         return self._x_step
 
     @property
     def ystep(self):
-        """Only for regular grid with no step variation
-        """
+        """Only for regular grid with no step variation"""
         return self._y_step
 
     def compute_pixel_path(self, x0, y0, x1, y1):
-        """Give a series of indexes which describe the path between to position
-        """
+        """Give a series of indexes which describe the path between to position"""
         return compute_pixel_path(
             x0,
             y0,
@@ -1232,13 +1240,11 @@ def compute_pixel_path(self, x0, y0, x1, y1):
         )
 
     def clean_land(self):
-        """Function to remove all land pixel
-        """
+        """Function to remove all land pixel"""
         pass
 
     def is_circular(self):
-        """Check if the grid is circular
-        """
+        """Check if the grid is circular"""
         if self._is_circular is None:
             self._is_circular = (
                 abs((self.x_bounds[0] % 360) - (self.x_bounds[-1] % 360)) < 0.0001
@@ -1323,8 +1329,7 @@ def kernel_bessel(self, lat, wave_length, order=1):
         return self.finalize_kernel(kernel, order, half_x_pt, half_y_pt)
 
     def _low_filter(self, grid_name, w_cut, **kwargs):
-        """low filtering
-        """
+        """low filtering"""
         return self.convolve_filter_with_dynamic_kernel(
             grid_name, self.kernel_bessel, wave_length=w_cut, **kwargs
         )
@@ -1784,8 +1789,7 @@ def speed_coef_mean(self, contour):
         )
 
     def init_speed_coef(self, uname="u", vname="v"):
-        """Draft
-        """
+        """Draft"""
         self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
     def display(self, ax, name, factor=1, **kwargs):
@@ -1858,8 +1862,7 @@ def interp(self, grid_name, lons, lats):
 
 @njit(cache=True, fastmath=True)
 def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
-    """Give a serie of indexes describing the path between two position
-    """
+    """Give a serie of indexes describing the path between two position"""
     # index
     nx = x0.shape[0]
     i_x0 = empty(nx, dtype=numba_types.int_)
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 14b82375..6d929ea0 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -4,22 +4,25 @@
 """
 
 import logging
+
+from matplotlib.cm import get_cmap
+from matplotlib.colors import Normalize
+from matplotlib.figure import Figure
+from numba import njit
+from numba import types as numba_types
 from numpy import (
-    empty,
     array,
     concatenate,
+    digitize,
+    empty,
+    int_,
     ma,
-    zeros,
-    unique,
-    round,
     ones,
-    int_,
-    digitize,
+    round,
+    unique,
+    zeros,
 )
-from matplotlib.colors import Normalize
-from matplotlib.figure import Figure
-from matplotlib.cm import get_cmap
-from numba import njit, types as numba_types
+
 from .poly import winding_number_poly
 
 logger = logging.getLogger("pet")
@@ -106,8 +109,7 @@ def __init__(
         self.mle = mle
 
     def within_amplitude_limits(self):
-        """Need update
-        """
+        """Need update"""
         return self.interval_min <= self.amplitude
 
     def all_pixels_below_h0(self, level):
@@ -429,8 +431,8 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
-                i, x, y
+            collection.get_nearest_path_bbox_contain_pt = (
+                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
             )
             nb_level += 1
 
@@ -731,8 +733,7 @@ def index_from_nearest_path_with_pt_in_bbox_(
     xpt,
     ypt,
 ):
-    """Get index from nearest path in edge bbox contain pt
-    """
+    """Get index from nearest path in edge bbox contain pt"""
     # Nb contour in level
     if nb_c_per_l[level_index] == 0:
         return -1
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index f53924e5..5aa8e43c 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -1,7 +1,9 @@
-from ..observations.observation import EddiesObservations as Model
-from numpy import ma
 import logging
 
+from numpy import ma
+
+from ..observations.observation import EddiesObservations as Model
+
 logger = logging.getLogger("pet")
 
 
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 55d83b88..b3c36b3a 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -1,9 +1,11 @@
-from ..observations.observation import EddiesObservations as Model
-from ..dataset.grid import RegularGridDataset
-from numpy import where, bincount, ones, unique, bool_, arange
-from numba import njit
 from os import path
 
+from numba import njit
+from numpy import arange, bincount, bool_, ones, unique, where
+
+from ..dataset.grid import RegularGridDataset
+from ..observations.observation import EddiesObservations as Model
+
 
 class CheltonTracker(Model):
 
@@ -15,17 +17,21 @@ class CheltonTracker(Model):
 
     @staticmethod
     def cost_function(records_in, records_out, distance):
-        """We minimize on distance between two obs
-        """
+        """We minimize on distance between two obs"""
         return distance
 
     def mask_function(self, other, distance):
-        """We mask link with ellips and ratio
-        """
+        """We mask link with ellips and ratio"""
         # Compute Parameter of ellips
         minor, major = 1.05, 1.5
         y = self.basic_formula_ellips_major_axis(
-            self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5,
+            self.lat,
+            degrees=True,
+            c0=minor,
+            cmin=minor,
+            cmax=major,
+            lat1=23,
+            lat2=5,
         )
         # mask from ellips
         mask = self.shifted_ellipsoid_degrees_mask(
@@ -34,7 +40,11 @@ def mask_function(self, other, distance):
 
         # We check ratio (maybe not usefull)
         check_ratio(
-            mask, self.amplitude, other.amplitude, self.radius_e, other.radius_e,
+            mask,
+            self.amplitude,
+            other.amplitude,
+            self.radius_e,
+            other.radius_e,
         )
         indexs_closest = where(mask)
         mask[indexs_closest] = self.across_ground(
@@ -45,7 +55,10 @@ def mask_function(self, other, distance):
     @classmethod
     def across_ground(cls, record0, record1):
         i, j, d_pix = cls.GROUND.compute_pixel_path(
-            x0=record0["lon"], y0=record0["lat"], x1=record1["lon"], y1=record1["lat"],
+            x0=record0["lon"],
+            y0=record0["lat"],
+            x1=record1["lon"],
+            y1=record1["lat"],
         )
 
         data = cls.GROUND.grid("mask")[i, j]
@@ -55,8 +68,7 @@ def across_ground(cls, record0, record1):
         return mask
 
     def solve_function(self, cost_matrix):
-        """Give the best link for each self obs
-        """
+        """Give the best link for each self obs"""
         return where(self.solve_first(cost_matrix, multiple_link=True))
 
     def post_process_link(self, other, i_self, i_other):
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 0fa9e35e..4bdd84cf 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -3,27 +3,28 @@
 Tool method which use mostly numba
 """
 
+from numba import njit, prange
+from numba import types as numba_types
 from numpy import (
-    sin,
-    pi,
-    cos,
-    arctan2,
+    absolute,
     arcsin,
+    arctan2,
+    bool_,
+    cos,
     empty,
-    nan,
-    absolute,
     floor,
-    ones,
-    linspace,
+    histogram,
     interp,
-    where,
-    zeros,
     isnan,
-    bool_,
+    linspace,
+    nan,
+    ones,
+    pi,
     radians,
-    histogram,
+    sin,
+    where,
+    zeros,
 )
-from numba import njit, prange, types as numba_types
 
 
 @njit(cache=True)
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index a9811e63..940c0cdc 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -3,12 +3,13 @@
 GUI class
 """
 
-import numpy as np
-import matplotlib.pyplot as plt
 from datetime import datetime, timedelta
+
+import matplotlib.pyplot as plt
+import numpy as np
 from matplotlib.projections import register_projection
-from .generic import flatten_line_matrix, split_line
 
+from .generic import flatten_line_matrix, split_line
 
 try:
     from pylook.axes import PlatCarreAxes
@@ -88,7 +89,10 @@ def set_initial_values(self):
             t0_, t1_ = dataset.period
             t0, t1 = min(t0, t0_), max(t1, t1_)
 
-        self.settings = dict(period=(t0, t1), now=t1,)
+        self.settings = dict(
+            period=(t0, t1),
+            now=t1,
+        )
 
     @property
     def now(self):
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 35317398..16577bf4 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -4,11 +4,13 @@
 """
 import logging
 from glob import glob
-from numpy import array, empty, arange, unique, bincount, uint32
+
 from numba import njit
+from numpy import arange, array, bincount, empty, uint32, unique
+
+from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations
-from ..poly import bbox_intersection, vertice_overlap
 
 logger = logging.getLogger("pet")
 
@@ -122,8 +124,7 @@ def build_dataset(self, group):
 
 @njit(cache=True)
 def get_next_index(gr):
-    """Return for each obs index the new position to join all group
-    """
+    """Return for each obs index the new position to join all group"""
     nb_obs_gr = bincount(gr)
     i_gr = nb_obs_gr.cumsum() - nb_obs_gr
     new_index = empty(gr.shape, dtype=uint32)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d6d844ed..ba390543 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -8,61 +8,62 @@
 from tokenize import TokenError
 
 import zarr
-from Polygon import Polygon
 from matplotlib.cm import get_cmap
 from matplotlib.collections import PolyCollection
 from matplotlib.colors import Normalize
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
-from numba import njit, types as numba_types
+from numba import njit
+from numba import types as numba_types
 from numpy import (
-    zeros,
-    where,
-    unique,
-    ma,
-    cos,
-    radians,
-    isnan,
-    ones,
-    ndarray,
-    floor,
-    array,
-    empty,
     absolute,
-    concatenate,
-    ceil,
     arange,
+    array,
+    array_equal,
+    ceil,
+    concatenate,
+    cos,
+    digitize,
+    empty,
+    floor,
+    histogram,
     histogram2d,
+    isnan,
     linspace,
-    sin,
-    histogram,
-    digitize,
+    ma,
+    ndarray,
+    ones,
     percentile,
-    array_equal,
+    radians,
+    sin,
+    unique,
+    where,
+    zeros,
 )
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
+from Polygon import Polygon
 
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
 from ..generic import (
-    distance_grid,
+    bbox_indice_regular,
+    build_index,
     distance,
+    distance_grid,
     flatten_line_matrix,
-    wrap_longitude,
+    hist_numba,
     local_to_coordinates,
     reverse_index,
-    bbox_indice_regular,
-    hist_numba,
-    build_index,
+    wrap_longitude,
 )
 from ..poly import (
     bbox_intersection,
-    vertice_overlap,
-    create_vertice,
     close_center,
+    convexs,
+    create_vertice,
     get_pixel_in_regular,
+    vertice_overlap,
     winding_number_poly,
-    convexs,
 )
 
 logger = logging.getLogger("pet")
@@ -197,17 +198,17 @@ def _repr_html_(self):
         return f"""<b>{infos['nb_obs']} observations from {infos['t0']} to {infos['t1']} </b>"""
 
     def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
-        """ Build histograms.
-
-            :param str varname: variable to use to compute stat
-            :param str x: variable to use to know in which bins
-            :param array bins:
-            :param bool percent: normalize by sum of all bins
-            :param bool mean: compute mean by bins
-            :param bool nb: only count by bins
-            :return: value by bins
-            :rtype: array
-            """
+        """Build histograms.
+
+        :param str varname: variable to use to compute stat
+        :param str x: variable to use to know in which bins
+        :param array bins:
+        :param bool percent: normalize by sum of all bins
+        :param bool mean: compute mean by bins
+        :param bool nb: only count by bins
+        :return: value by bins
+        :rtype: array
+        """
         if nb:
             v = hist_numba(self[x], bins=bins)[0]
         else:
@@ -261,8 +262,7 @@ def __repr__(self):
         Mean amplitude (cm)       : {self.box_display(self.hist('amplitude', 'lat', bins_lat, mean=True) * 100.)}"""
 
     def __dir__(self):
-        """Provide method name lookup and completion.
-        """
+        """Provide method name lookup and completion."""
         base = set(dir(type(self)))
         intern_name = set(self.elements)
         extern_name = set([VAR_DESCR[k]["nc_name"] for k in intern_name])
@@ -361,8 +361,7 @@ def circle_contour(self, only_virtual=False):
 
     @property
     def dtype(self):
-        """Return dtype to build numpy array.
-        """
+        """Return dtype to build numpy array."""
         dtype = list()
         for elt in self.elements:
             data_type = (
@@ -378,8 +377,7 @@ def dtype(self):
 
     @property
     def elements(self):
-        """Return all the names of the variables.
-        """
+        """Return all the names of the variables."""
         elements = [i for i in self.ELEMENTS]
         if self.track_array_variables > 0:
             elements += self.array_variables
@@ -391,8 +389,7 @@ def elements(self):
         return list(set(elements))
 
     def coherence(self, other):
-        """Check coherence between two datasets.
-        """
+        """Check coherence between two datasets."""
         test = self.track_extra_variables == other.track_extra_variables
         test *= self.track_array_variables == other.track_array_variables
         test *= self.array_variables == other.array_variables
@@ -417,8 +414,7 @@ def concatenate(cls, observations):
         return eddies
 
     def merge(self, other):
-        """Merge two datasets.
-        """
+        """Merge two datasets."""
         nb_obs_self = len(self)
         nb_obs = nb_obs_self + len(other)
         eddies = self.new_like(self, nb_obs)
@@ -439,8 +435,7 @@ def reset(self):
 
     @property
     def obs(self):
-        """Return observations.
-        """
+        """Return observations."""
         return self.observations
 
     def __len__(self):
@@ -505,8 +500,7 @@ def align_on(self, other, var_name="time", **kwargs):
             yield indexs_self, indexs_other, b0_self, b1_self
 
     def insert_observations(self, other, index):
-        """Insert other obs in self at the index.
-        """
+        """Insert other obs in self at the index."""
         if not self.coherence(other):
             raise Exception("Observations with no coherence")
         insert_size = len(other.obs)
@@ -527,15 +521,14 @@ def insert_observations(self, other, index):
         return self
 
     def append(self, other):
-        """Merge.
-        """
+        """Merge."""
         return self + other
 
     def __add__(self, other):
         return self.insert_observations(other, -1)
 
     def distance(self, other):
-        """ Use haversine distance for distance matrix between every self and
+        """Use haversine distance for distance matrix between every self and
         other eddies."""
         return distance_grid(self.lon, self.lat, other.lon, other.lat)
 
@@ -561,8 +554,7 @@ def new_like(eddies, new_size: int):
         )
 
     def index(self, index, reverse=False):
-        """Return obs from self at the index.
-        """
+        """Return obs from self at the index."""
         if reverse:
             index = reverse_index(index, len(self))
         size = 1
@@ -597,12 +589,14 @@ def load_file(cls, filename, **kwargs):
 
             kwargs_latlon_300 = dict(
                 include_vars=[
-                "longitude",
-                "latitude",
+                    "longitude",
+                    "latitude",
                 ],
                 indexs=dict(obs=slice(0, 300)),
             )
-            small_dataset = TrackEddiesObservations.load_file(filename, **kwargs_latlon_300)
+            small_dataset = TrackEddiesObservations.load_file(
+                filename, **kwargs_latlon_300
+            )
 
         For `**kwargs` look at :py:meth:`load_from_zarr` or :py:meth:`load_from_netcdf`
         """
@@ -1037,7 +1031,7 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
 
     @classmethod
     def cost_function_common_area(cls, xy_in, xy_out, distance, intern=False):
-        """ How does it work on x bound ?
+        """How does it work on x bound ?
 
         :param xy_in:
         :param xy_out:
@@ -1106,7 +1100,12 @@ def cost_function(records_in, records_out, distance):
 
     def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         return shifted_ellipsoid_degrees_mask2(
-            self.lon, self.lat, other.lon, other.lat, minor, major,
+            self.lon,
+            self.lat,
+            other.lon,
+            other.lat,
+            minor,
+            major,
         )
 
     def fixed_ellipsoid_mask(
@@ -1167,8 +1166,7 @@ def fixed_ellipsoid_mask(
     def basic_formula_ellips_major_axis(
         lats, cmin=1.5, cmax=10.0, c0=1.5, lat1=13.5, lat2=5.0, degrees=False
     ):
-        """Give major axis in km with a given latitude
-        """
+        """Give major axis in km with a given latitude"""
         # Straight line between lat1 and lat2:
         # y = a * x + b
         a = (cmin - cmax) / (lat1 - lat2)
@@ -1304,8 +1302,7 @@ def post_process_link(self, other, i_self, i_other):
         return i_self, i_other
 
     def tracking(self, other):
-        """Track obs between self and other
-        """
+        """Track obs between self and other"""
         dist = self.distance(other)
         mask_accept_dist = self.mask_function(other, dist)
         indexs_closest = where(mask_accept_dist)
@@ -1849,16 +1846,16 @@ def grid_count(self, bins, intern=False, center=False):
 
     def grid_box_stat(self, bins, varname, method=50, data=None):
         """
-            Compute mean of eddies in each bin
+        Compute mean of eddies in each bin
 
-            :param (numpy.array,numpy.array) bins: bins (grid) to count
-            :param str varname: variable to apply the method
-            :param str,float method: method to apply. If float, use ?
-            :param array data: Array used to compute stat if defined
-            :return: return grid of method
-            :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
+        :param (numpy.array,numpy.array) bins: bins (grid) to count
+        :param str varname: variable to apply the method
+        :param str,float method: method to apply. If float, use ?
+        :param array data: Array used to compute stat if defined
+        :return: return grid of method
+        :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
-            .. minigallery:: py_eddy_tracker.EddiesObservations.grid_box_stat
+        .. minigallery:: py_eddy_tracker.EddiesObservations.grid_box_stat
         """
         x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
         x0 = bins[0][0]
@@ -2086,7 +2083,10 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     max_method = "max" == method
     mean_method = "mean" == method
     for elt in range(nb):
-        v = create_vertice(x[elt], y[elt],)
+        v = create_vertice(
+            x[elt],
+            y[elt],
+        )
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
             v, x0, y0, xstep, ystep, 1, circular, nb_x
         )
@@ -2105,8 +2105,7 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
 
 
 class VirtualEddiesObservations(EddiesObservations):
-    """Class to work with virtual obs
-    """
+    """Class to work with virtual obs"""
 
     __slots__ = ()
 
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 52841c8c..10a9a0fb 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -3,39 +3,39 @@
 Class to manage observations gathered in track
 """
 import logging
+from datetime import datetime, timedelta
+
+from numba import njit
 from numpy import (
-    empty,
     arange,
-    where,
-    unique,
-    interp,
-    ones,
-    bool_,
-    zeros,
+    arctan2,
     array,
-    median,
-    histogram,
-    sin,
+    bool_,
     cos,
-    arctan2,
-    radians,
     degrees,
+    empty,
+    histogram,
+    interp,
+    median,
+    ones,
+    radians,
+    sin,
+    unique,
+    where,
+    zeros,
 )
-from datetime import datetime, timedelta
-from numba import njit
 from Polygon import Polygon
-from .observation import EddiesObservations
-from .. import VAR_DESCR_inv
-from ..generic import split_line, wrap_longitude, build_index, distance, cumsum_by_track
-from ..poly import polygon_overlap, create_vertice_from_2darray
 
+from .. import VAR_DESCR_inv
+from ..generic import build_index, cumsum_by_track, distance, split_line, wrap_longitude
+from ..poly import create_vertice_from_2darray, polygon_overlap
+from .observation import EddiesObservations
 
 logger = logging.getLogger("pet")
 
 
 class TrackEddiesObservations(EddiesObservations):
-    """Class to practice Tracking on observations
-    """
+    """Class to practice Tracking on observations"""
 
     __slots__ = ("__obs_by_track", "__first_index_of_track", "__nb_track")
 
@@ -113,8 +113,7 @@ def __repr__(self):
         return content
 
     def add_distance(self):
-        """Add a field of distance (m) between to consecutive observation, 0 for the last observation of each track
-        """
+        """Add a field of distance (m) between to consecutive observation, 0 for the last observation of each track"""
         if "distance_next" in self.observations.dtype.descr:
             return self
         new = self.add_fields(("distance_next",))
@@ -172,8 +171,7 @@ def filled_by_interpolation(self, mask):
             )
 
     def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
-        """Select eddies which are longer than nb_min
-        """
+        """Select eddies which are longer than nb_min"""
         mask = nb_obs >= nb_min
         nb_obs_select = mask.sum()
         logger.info("Selection of %d observations", nb_obs_select)
@@ -198,8 +196,7 @@ def elements(self):
         return list(set(elements))
 
     def set_global_attr_netcdf(self, h_nc):
-        """Set global attr
-        """
+        """Set global attr"""
         h_nc.title = "Cyclonic" if self.sign_type == -1 else "Anticyclonic"
         h_nc.Metadata_Conventions = "Unidata Dataset Discovery v1.0"
         h_nc.comment = "Surface product; mesoscale eddies"
@@ -487,8 +484,7 @@ def plot(self, ax, ref=None, **kwargs):
         return ax.plot(x, y, **kwargs)
 
     def split_network(self, intern=True, **kwargs):
-        """Divide each group in track
-        """
+        """Divide each group in track"""
         track_s, track_e, track_ref = build_index(self.tracks)
         ids = empty(
             len(self),
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index de756a0a..7cd2048d 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -3,9 +3,10 @@
 Method for polygon
 """
 
-from numpy import empty, where, array, ones, pi, concatenate
+from numba import njit, prange
+from numba import types as numba_types
+from numpy import array, concatenate, empty, ones, pi, where
 from numpy.linalg import lstsq
-from numba import njit, prange, types as numba_types
 from Polygon import Polygon
 
 
@@ -516,14 +517,15 @@ def fit_circle_(x, y):
         import numpy as np
         from py_eddy_tracker.poly import fit_circle_
         from py_eddy_tracker.generic import build_circle
-        V = np.array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)), dtype='f4')
+
+        V = np.array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)), dtype="f4")
         x0, y0, radius, err = fit_circle_(V[0], V[1])
         ax = plt.subplot(111)
-        ax.set_aspect('equal')
+        ax.set_aspect("equal")
         ax.grid(True)
-        ax.plot(*build_circle(x0,y0, radius), 'r')
-        ax.plot(x0, y0, 'r+')
-        ax.plot(*V, 'b.')
+        ax.plot(*build_circle(x0, y0, radius), "r")
+        ax.plot(x0, y0, "r+")
+        ax.plot(*V, "b.")
         plt.show()
     """
     datas = ones((x.shape[0] - 1, 3), dtype=x.dtype)
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 3aab2f0d..ae0a2524 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -3,32 +3,35 @@
 Class to store link between observations
 """
 
-from datetime import timedelta, datetime
-from py_eddy_tracker.observations.observation import (
-    EddiesObservations,
-    VirtualEddiesObservations,
-)
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+import json
+import logging
+import platform
+from datetime import datetime, timedelta
+
+from netCDF4 import Dataset, default_fillvals
+from numba import njit
+from numba import types as numba_types
 from numpy import (
-    bool_,
-    array,
     arange,
+    array,
+    bool_,
+    concatenate,
+    empty,
+    isin,
+    ma,
     ones,
     setdiff1d,
-    zeros,
     uint16,
-    where,
-    empty,
-    isin,
     unique,
-    concatenate,
-    ma,
+    where,
+    zeros,
 )
-from netCDF4 import Dataset, default_fillvals
-import logging
-import platform
-import json
-from numba import njit, types as numba_types
+
+from py_eddy_tracker.observations.observation import (
+    EddiesObservations,
+    VirtualEddiesObservations,
+)
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
 logger = logging.getLogger("pet")
 
@@ -163,8 +166,7 @@ def period(self):
         return date_start, date_stop
 
     def swap_dataset(self, dataset, *args, **kwargs):
-        """ Swap to next dataset
-        """
+        """Swap to next dataset"""
         self.previous2_obs = self.previous_obs
         self.previous_obs = self.current_obs
         kwargs = kwargs.copy()
@@ -207,8 +209,7 @@ def merge_correspondance(self, other):
     def store_correspondance(
         self, i_previous, i_current, nb_real_obs, association_cost
     ):
-        """Storing correspondance in an array
-        """
+        """Storing correspondance in an array"""
         # Create array to store correspondance data
         correspondance = array(i_previous, dtype=self.correspondance_dtype)
         if self.virtual:
@@ -275,15 +276,13 @@ def append(self, *args, **kwargs):
         super().append(*args, **kwargs)
 
     def id_generator(self, nb_id):
-        """Generation id and incrementation
-        """
+        """Generation id and incrementation"""
         values = arange(self.current_id, self.current_id + nb_id)
         self.current_id += nb_id
         return values
 
     def recense_dead_id_to_extend(self):
-        """Recense dead id to extend in virtual observation
-        """
+        """Recense dead id to extend in virtual observation"""
         # List previous id which are not use in the next step
         dead_id = setdiff1d(self[-2]["id"], self[-1]["id"])
         nb_dead = dead_id.shape[0]
@@ -355,8 +354,7 @@ def load_state(self):
         return 1, False
 
     def track(self):
-        """Run tracking
-        """
+        """Run tracking"""
         self.reset_dataset_cache()
         first_dataset, flg_virtual = self.load_state()
 
@@ -577,8 +575,7 @@ def prepare_merging(self):
         logger.info("%d observations will be join", self.nb_obs)
 
     def longer_than(self, size_min):
-        """Remove from correspondance table all association for shorter eddies than size_min
-        """
+        """Remove from correspondance table all association for shorter eddies than size_min"""
         # Identify eddies longer than
         i_keep_track = where(self.nb_obs_by_tracks >= size_min)[0]
         # Reduce array
@@ -598,8 +595,7 @@ def longer_than(self, size_min):
         logger.debug("Select longer than %d done", size_min)
 
     def shorter_than(self, size_max):
-        """Remove from correspondance table all association for longer eddies than size_max
-        """
+        """Remove from correspondance table all association for longer eddies than size_max"""
         # Identify eddies longer than
         i_keep_track = where(self.nb_obs_by_tracks < size_max)[0]
         # Reduce array
@@ -619,8 +615,7 @@ def shorter_than(self, size_max):
         logger.debug("Select shorter than %d done", size_max)
 
     def merge(self, until=-1, raw_data=True):
-        """Merge all the correspondance in one array with all fields
-        """
+        """Merge all the correspondance in one array with all fields"""
         # Start loading identification again to save in the finals tracks
         # Load first file
         self.reset_dataset_cache()
diff --git a/src/scripts/EddyFinalTracking b/src/scripts/EddyFinalTracking
index cf3c06f0..fad4b02c 100644
--- a/src/scripts/EddyFinalTracking
+++ b/src/scripts/EddyFinalTracking
@@ -3,12 +3,13 @@
 """
 Track eddy with Identification file produce with EddyIdentification
 """
+import datetime as dt
+import logging
+from os import mkdir
+from os.path import exists
+
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.tracking import Correspondances
-from os.path import exists
-from os import mkdir
-import logging
-import datetime as dt
 
 logger = logging.getLogger("pet")
 
diff --git a/src/scripts/EddyMergeCorrespondances b/src/scripts/EddyMergeCorrespondances
index a1790783..7598b47a 100644
--- a/src/scripts/EddyMergeCorrespondances
+++ b/src/scripts/EddyMergeCorrespondances
@@ -3,12 +3,13 @@
 """
 Track eddy with Identification file produce with EddyIdentification
 """
+import datetime as dt
+import logging
+from os import mkdir
+from os.path import dirname, exists
+
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.tracking import Correspondances
-from os.path import exists, dirname
-from os import mkdir
-import logging
-import datetime as dt
 
 logger = logging.getLogger("pet")
 
diff --git a/src/scripts/EddySubSetter b/src/scripts/EddySubSetter
index 0a138a37..73250834 100644
--- a/src/scripts/EddySubSetter
+++ b/src/scripts/EddySubSetter
@@ -3,9 +3,10 @@
 """
 Subset eddy Dataset
 """
+import logging
+
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
-import logging
 
 logger = logging.getLogger("pet")
 
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
index c2e6bd86..28c946fa 100644
--- a/src/scripts/EddyTracking
+++ b/src/scripts/EddyTracking
@@ -3,19 +3,20 @@
 """
 Track eddy with Identification file produce with EddyIdentification
 """
-from py_eddy_tracker import EddyParser
-from yaml import load as yaml_load
-from py_eddy_tracker.tracking import Correspondances
-from os.path import exists, dirname, basename
+import logging
+from datetime import datetime
+from glob import glob
 from os import mkdir
-from re import compile as re_compile
+from os.path import basename, dirname, exists
 from os.path import join as join_path
-from numpy import bytes_, empty, unique
+from re import compile as re_compile
+
 from netCDF4 import Dataset
-from datetime import datetime
-from glob import glob
-import logging
+from numpy import bytes_, empty, unique
+from yaml import load as yaml_load
 
+from py_eddy_tracker import EddyParser
+from py_eddy_tracker.tracking import Correspondances
 
 logger = logging.getLogger("pet")
 
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index 933ccad6..94142132 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -3,10 +3,11 @@
 """
 Translate eddy Dataset
 """
+import zarr
+from netCDF4 import Dataset
+
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.observation import EddiesObservations
-from netCDF4 import Dataset
-import zarr
 
 
 def id_parser():
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 32ae2721..d715f4fd 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -1,11 +1,20 @@
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker.data import get_path
 from matplotlib.path import Path
 from pytest import approx
 
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 G = RegularGridDataset(get_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
-contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
+contour = Path(
+    (
+        (-X, 0),
+        (X, 0),
+        (X, X),
+        (-X, X),
+        (-X, 0),
+    )
+)
 
 
 # contour
diff --git a/tests/test_id.py b/tests/test_id.py
index 371681ae..cedcdff8 100644
--- a/tests/test_id.py
+++ b/tests/test_id.py
@@ -1,7 +1,8 @@
-from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker.data import get_path
 from datetime import datetime
 
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 g = RegularGridDataset(
     get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
diff --git a/tests/test_obs.py b/tests/test_obs.py
index 699fe8f8..59a1edab 100644
--- a/tests/test_obs.py
+++ b/tests/test_obs.py
@@ -1,6 +1,7 @@
 import zarr
-from py_eddy_tracker.observations.observation import EddiesObservations
+
 from py_eddy_tracker.data import get_path
+from py_eddy_tracker.observations.observation import EddiesObservations
 
 a_filename, c_filename = (
     get_path("Anticyclonic_20190223.nc"),
diff --git a/tests/test_poly.py b/tests/test_poly.py
index 2f4d963a..b2aacb73 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -1,7 +1,8 @@
-from py_eddy_tracker.poly import poly_area_vertice, fit_circle, convex, get_convex_hull
 from numpy import array, pi
 from pytest import approx
 
+from py_eddy_tracker.poly import convex, fit_circle, get_convex_hull, poly_area_vertice
+
 # Vertices for next test
 V = array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)))
 V_concave = array(((2, 2, 2.5, 3, 3, 2), (-10, -9, -9.5, -9, -10, -10)))
diff --git a/tests/test_track.py b/tests/test_track.py
index 77cf0bfe..ac10b749 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -1,10 +1,11 @@
-from py_eddy_tracker.observations.observation import EddiesObservations
-from py_eddy_tracker.data import get_path
-from py_eddy_tracker.tracking import Correspondances
-from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
 import zarr
 from netCDF4 import Dataset
 
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.tracking import Correspondances
+
 filename = get_path("Anticyclonic_20190223.nc")
 a0 = EddiesObservations.load_file(filename)
 a1 = a0.copy()

From 8af2190f5ad9949e3cbaaea8c1495938b892976b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 12 Nov 2020 17:58:17 +0100
Subject: [PATCH 162/441] Add lifetime and age property for tracked
 observations

---
 CHANGELOG.md                                 | 33 ++++++++++++++++++++
 src/py_eddy_tracker/observations/tracking.py | 10 ++++++
 src/py_eddy_tracker/poly.py                  |  9 +++++-
 3 files changed, 51 insertions(+), 1 deletion(-)
 create mode 100644 CHANGELOG.md

diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 00000000..e0438ccb
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,33 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Added
+- Acces at dataset variable like attribute, and lifetime/age are available for all observations
+- Add **EddyInfos** application to get general information about eddies dataset
+- Add method to inspect contour rejection (which are not in eddies)
+### Changed
+
+### Removed
+
+
+## [3.2.0] - 2020-09-16
+
+### Added
+
+### Changed
+
+### Removed
+
+## [3.1.0] - 2020-06-25
+
+### Added
+
+### Changed
+
+### Removed
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 10a9a0fb..61e081df 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -306,6 +306,16 @@ def nb_obs_by_track(self):
         self.compute_index()
         return self.__obs_by_track
 
+    @property
+    def lifetime(self):
+        """Return for each observation lifetime"""
+        return self.nb_obs_by_track.repeat(self.nb_obs_by_track)
+
+    @property
+    def age(self):
+        """Return for each observation age in %, will be [0:100]"""
+        return self.n.astype("f4") / (self.lifetime - 1) * 100.0
+
     def extract_ids(self, tracks):
         mask = self.get_mask_from_id(array(tracks))
         return self.extract_with_mask(mask)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 7cd2048d..38fb6d51 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -11,7 +11,14 @@
 
 
 @njit(cache=True)
-def is_left(x_line_0, y_line_0, x_line_1, y_line_1, x_test, y_test):
+def is_left(
+    x_line_0: float,
+    y_line_0: float,
+    x_line_1: float,
+    y_line_1: float,
+    x_test: float,
+    y_test: float,
+) -> bool:
     """
     Test if point is left of an infinit line.
 

From 7ce7bf1d7ff52b1cbd45a66b8e67077fb882cc57 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 13 Nov 2020 13:58:37 +0100
Subject: [PATCH 163/441] Add nearest interp method

---
 CHANGELOG.md                                  |  1 +
 src/py_eddy_tracker/dataset/grid.py           |  7 ++++--
 src/py_eddy_tracker/generic.py                | 21 ++++++++++++++----
 .../observations/observation.py               |  6 ++---
 tests/test_grid.py                            | 22 +++++++++++++++++++
 5 files changed, 48 insertions(+), 9 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index e0438ccb..98d3a493 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Acces at dataset variable like attribute, and lifetime/age are available for all observations
 - Add **EddyInfos** application to get general information about eddies dataset
 - Add method to inspect contour rejection (which are not in eddies)
+- Grid interp could be "nearest" or "bilinear" 
 ### Changed
 
 ### Removed
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d938ba4e..2fabb7dd 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1842,13 +1842,14 @@ def regrid(self, other, grid_name, new_name=None):
         # self.variables_description[new_name]['infos'] = False
         # self.variables_description[new_name]['kwargs']['dimensions'] = ...
 
-    def interp(self, grid_name, lons, lats):
+    def interp(self, grid_name, lons, lats, method="bilinear"):
         """
         Compute z over lons, lats
 
         :param str grid_name: Grid to be interpolated
         :param lons: new x
         :param lats: new y
+        :param str method: Could be 'bilinear' or 'nearest'
 
         :return: new z
         """
@@ -1857,7 +1858,9 @@ def interp(self, grid_name, lons, lats):
             m = g.mask
         else:
             m = ones(g.shape) if g.mask else zeros(g.shape)
-        return interp2d_geo(self.x_c, self.y_c, g, m, lons, lats)
+        return interp2d_geo(
+            self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
+        )
 
 
 @njit(cache=True, fastmath=True)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 4bdd84cf..ccba55d9 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -177,7 +177,7 @@ def cumsum_by_track(field, track):
 
 
 @njit(cache=True, fastmath=True)
-def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
+def interp2d_geo(x_g, y_g, z_g, m_g, x, y, nearest=False):
     """
     For geographic grid, test of cicularity.
 
@@ -187,6 +187,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
     :param array m_g: Boolean grid, True if value is masked
     :param array x: coordinate where interpolate z
     :param array y: coordinate where interpolate z
+    :param bool nearest: if true we will take nearest pixel
     :return: z interpolated
     :rtype: array
     """
@@ -223,9 +224,21 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y):
         if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
             z[i] = nan
         else:
-            z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
-                z01 * (1 - xd) + z11 * xd
-            ) * yd
+            if nearest:
+                if xd <= 0.5:
+                    if yd <= 0.5:
+                        z[i] = z00
+                    else:
+                        z[i] = z01
+                else:
+                    if yd <= 0.5:
+                        z[i] = z10
+                    else:
+                        z[i] = z11
+            else:
+                z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
+                    z01 * (1 - xd) + z11 * xd
+                ) * yd
     return z
 
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ba390543..1a4defb7 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1934,12 +1934,12 @@ def interp_grid(
         :param grid_object: Handler of grid to interp
         :type grid_object: py_eddy_tracker.dataset.grid.RegularGridDataset
         :param str varname: Name of variable to use
-        :param str method: 'center', 'mean', 'max', 'min'
+        :param str method: 'center', 'mean', 'max', 'min', 'nearest'
         :param str dtype: if None we use var dtype
         :param bool intern: Use extern or intern contour
         """
-        if method == "center":
-            return grid_object.interp(varname, self.longitude, self.latitude)
+        if method in ("center", "nearest"):
+            return grid_object.interp(varname, self.longitude, self.latitude, method)
         elif method in ("min", "max", "mean", "count"):
             x0 = grid_object.x_bounds[0]
             x_name, y_name = self.intern(False if intern is None else intern)
diff --git a/tests/test_grid.py b/tests/test_grid.py
index d715f4fd..5da5390e 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -1,4 +1,5 @@
 from matplotlib.path import Path
+from numpy import array, ma
 from pytest import approx
 
 from py_eddy_tracker.data import get_path
@@ -53,3 +54,24 @@ def test_bounds():
     x0, x1, y0, y1 = G.bounds
     assert x0 == -1 / 120.0 and x1 == 360 - 1 / 120
     assert y0 == approx(-90 - 1 / 120.0) and y1 == approx(90 - 1 / 120)
+
+
+def test_interp():
+    # Fake grid
+    g = RegularGridDataset.with_array(
+        coordinates=("x", "y"),
+        datas=dict(
+            z=ma.array(((0, 1), (2, 3)), dtype="f4"),
+            x=array((0, 20)),
+            y=array((0, 10)),
+        ),
+        centered=True,
+    )
+    x0, y0 = array((10,)), array((5,))
+    x1, y1 = array((15,)), array((5,))
+    # Interp nearest
+    assert g.interp("z", x0, y0, method="nearest") == 0
+    assert g.interp("z", x1, y1, method="nearest") == 2
+    # Interp bilinear
+    assert g.interp("z", x0, y0) == 1.5
+    assert g.interp("z", x1, y1) == 2

From eebbf584c426de0d9bd7415540316894b5887aa0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 16 Nov 2020 15:49:15 +0100
Subject: [PATCH 164/441] Add examples to display groups dependance at
 parameter

---
 CHANGELOG.md                                  |   1 +
 .../10_tracking_diagnostics/pet_groups.py     |  79 ++++++++++
 .../10_tracking_diagnostics/pet_groups.ipynb  | 144 ++++++++++++++++++
 .../observations/observation.py               |  68 ++++++++-
 4 files changed, 288 insertions(+), 4 deletions(-)
 create mode 100644 examples/10_tracking_diagnostics/pet_groups.py
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 98d3a493..24c53451 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- Add a method to merge several indexs type for eddy obs
 - Acces at dataset variable like attribute, and lifetime/age are available for all observations
 - Add **EddyInfos** application to get general information about eddies dataset
 - Add method to inspect contour rejection (which are not in eddies)
diff --git a/examples/10_tracking_diagnostics/pet_groups.py b/examples/10_tracking_diagnostics/pet_groups.py
new file mode 100644
index 00000000..83be3745
--- /dev/null
+++ b/examples/10_tracking_diagnostics/pet_groups.py
@@ -0,0 +1,79 @@
+"""
+Groups distribution
+==================
+
+"""
+import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
+from numpy import arange, ones, percentile
+
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+# %%
+# Load an experimental med atlas over a period of 26 years (1993-2019)
+a = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+)
+
+# %%
+# Group distribution
+groups = dict()
+bins_time = [10, 20, 30, 60, 90, 180, 360, 100000]
+for t0, t1 in zip(bins_time[:-1], bins_time[1:]):
+    groups[f"lifetime_{t0}_{t1}"] = lambda dataset, t0=t0, t1=t1: (
+        dataset.lifetime >= t0
+    ) * (dataset.lifetime < t1)
+bins_percentile = arange(0, 100.0001, 5)
+
+
+# %%
+# Function to build stats
+def stats_compilation(dataset, groups, field, bins, filter=None):
+    datas = dict(ref=dataset.bins_stat(field, bins=bins, mask=filter)[1], y=dict())
+    for k, index in groups.items():
+        i = dataset.merge_indexs(filter, index)
+        x, datas["y"][k] = dataset.bins_stat(field, bins=bins, mask=i)
+    datas["x"], datas["bins"] = x, bins
+    return datas
+
+
+def plot_stats(ax, bins, x, y, ref, box=False, cmap=None, percentiles=None, **kw):
+    base, ref = ones(x.shape) * 100.0, ref / 100.0
+    x = arange(bins.shape[0]).repeat(2)[1:-1] if box else x
+    y0 = base
+    if cmap is not None:
+        cmap, nb_groups = plt.get_cmap(cmap), len(y)
+    keys = tuple(y.keys())
+    for i, k in enumerate(keys[::-1]):
+        y1 = y0 - y[k] / ref
+        args = (y0.repeat(2), y1.repeat(2)) if box else (y0, y1)
+        if cmap is not None:
+            kw["color"] = cmap(1 - i / (nb_groups - 1))
+        ax.fill_between(x, *args, label=k, **kw)
+        y0 = y1
+    if percentiles:
+        for b in bins:
+            ax.axvline(b, **percentiles)
+
+
+# %%
+# Speed radius by track period
+stats = stats_compilation(
+    a, groups, "radius_s", percentile(a.radius_s, bins_percentile)
+)
+fig = plt.figure()
+ax = fig.add_subplot(111)
+plot_stats(ax, **stats, cmap="magma", percentiles=dict(color="gray", ls="-.", lw=0.4))
+ax.set_xlabel("Speed radius (m)"), ax.set_ylabel("% of class"), ax.set_ylim(0, 100)
+ax.grid(), ax.legend()
+
+# %%
+# Amplitude by track period
+stats = stats_compilation(
+    a, groups, "amplitude", percentile(a.amplitude, bins_percentile)
+)
+fig = plt.figure()
+ax = fig.add_subplot(111)
+plot_stats(ax, **stats, cmap="magma")
+ax.set_xlabel("Amplitude (m)"), ax.set_ylabel("% of class"), ax.set_ylim(0, 100)
+ax.grid(), ax.legend()
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
new file mode 100644
index 00000000..a523386a
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
@@ -0,0 +1,144 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Groups distribution\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, ones, percentile\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load an experimental med atlas over a period of 26 years (1993-2019)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Group distribution\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "groups = dict()\nbins_time = [10, 20, 30, 60, 90, 180, 360, 100000]\nfor t0, t1 in zip(bins_time[:-1], bins_time[1:]):\n    groups[f\"lifetime_{t0}_{t1}\"] = lambda dataset, t0=t0, t1=t1: (\n        dataset.lifetime >= t0\n    ) * (dataset.lifetime < t1)\nbins_percentile = arange(0, 100.0001, 5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Function to build stats\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def stats_compilation(dataset, groups, field, bins, filter=None):\n    datas = dict(ref=dataset.bins_stat(field, bins=bins, mask=filter)[1], y=dict())\n    for k, index in groups.items():\n        i = dataset.merge_indexs(filter, index)\n        x, datas[\"y\"][k] = dataset.bins_stat(field, bins=bins, mask=i)\n    datas[\"x\"], datas[\"bins\"] = x, bins\n    return datas\n\n\ndef plot_stats(ax, bins, x, y, ref, box=False, cmap=None, percentiles=None, **kw):\n    base, ref = ones(x.shape) * 100.0, ref / 100.0\n    x = arange(bins.shape[0]).repeat(2)[1:-1] if box else x\n    y0 = base\n    if cmap is not None:\n        cmap, nb_groups = plt.get_cmap(cmap), len(y)\n    keys = tuple(y.keys())\n    for i, k in enumerate(keys[::-1]):\n        y1 = y0 - y[k] / ref\n        args = (y0.repeat(2), y1.repeat(2)) if box else (y0, y1)\n        if cmap is not None:\n            kw[\"color\"] = cmap(1 - i / (nb_groups - 1))\n        ax.fill_between(x, *args, label=k, **kw)\n        y0 = y1\n    if percentiles:\n        for b in bins:\n            ax.axvline(b, **percentiles)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Speed radius by track period\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "stats = stats_compilation(\n    a, groups, \"radius_s\", percentile(a.radius_s, bins_percentile)\n)\nfig = plt.figure()\nax = fig.add_subplot(111)\nplot_stats(ax, **stats, cmap=\"magma\", percentiles=dict(color=\"gray\", ls=\"-.\", lw=0.4))\nax.set_xlabel(\"Speed radius (m)\"), ax.set_ylabel(\"% of class\"), ax.set_ylim(0, 100)\nax.grid(), ax.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Amplitude by track period\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "stats = stats_compilation(\n    a, groups, \"amplitude\", percentile(a.amplitude, bins_percentile)\n)\nfig = plt.figure()\nax = fig.add_subplot(111)\nplot_stats(ax, **stats, cmap=\"magma\")\nax.set_xlabel(\"Amplitude (m)\"), ax.set_ylabel(\"% of class\"), ax.set_ylim(0, 100)\nax.grid(), ax.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 1a4defb7..3ea68dc6 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -28,6 +28,7 @@
     floor,
     histogram,
     histogram2d,
+    in1d,
     isnan,
     linspace,
     ma,
@@ -1685,6 +1686,66 @@ def filled(
         c.norm = Normalize(vmin=vmin, vmax=vmax)
         return c
 
+    def merge_indexs(self, filter, index=None):
+        """
+        Compute an intersectin between indexs and filters after to evaluate each of them
+
+        :param callable,None,slice,array[int],array[bool] filter:
+        :param callable,None,slice,array[int],array[bool] index:
+
+        :return: Return applicable object to numpy.array
+        :rtype: slice, index, mask
+        """
+        # If filter is a function we apply on dataset
+        if callable(filter):
+            filter = filter(self)
+        # Solve indexs case
+        if index is not None:
+            index = self.merge_indexs(index)
+        # Merge indexs and filter
+        if index is None and filter is None:
+            return slice(None)
+        if index is None:
+            return filter
+        if filter is None:
+            return index
+        if isinstance(index, slice):
+            reject = ones(len(self), dtype="bool")
+            reject[index] = False
+            if isinstance(filter, slice):
+                reject[filter] = False
+                return ~reject
+            # Mask case
+            elif filter.dtype == bool:
+                return ~reject * filter
+            # index case
+            else:
+                return filter[~reject[filter]]
+        # mask case
+        elif index.dtype == bool:
+            if isinstance(filter, slice):
+                select = zeros(len(self), dtype="bool")
+                select[filter] = True
+                return select * index
+            # Mask case
+            elif filter.dtype == bool:
+                return filter * index
+            # index case
+            else:
+                return filter[index[filter]]
+        # index case
+        else:
+            if isinstance(filter, slice):
+                select = zeros(len(self), dtype="bool")
+                select[filter] = True
+                return index[select[index]]
+            # Mask case
+            elif filter.dtype == bool:
+                return index[filter[index]]
+            # index case
+            else:
+                return index[in1d(index, filter)]
+
     def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         """
         :param str,array xname: variable to compute stats on
@@ -1698,16 +1759,15 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
         """
         v = self[xname] if isinstance(xname, str) else xname
-        if mask is not None:
-            v = v[mask]
+        mask = self.merge_indexs(mask)
+        v = v[mask]
         if bins is None:
             bins = arange(v.min(), v.max() + 2)
         y, x = hist_numba(v, bins=bins)
         x = (x[1:] + x[:-1]) / 2
         if method == "mean":
             y_v = self[yname] if isinstance(yname, str) else yname
-            if mask is not None:
-                y_v = y_v[mask]
+            y_v = y_v[mask]
             y_, _ = histogram(v, bins=bins, weights=y_v)
             y = y_ / y
         return x, y

From d65f4149dd13d69c9a34c6c1e9e150f47bd33e80 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 17 Nov 2020 10:40:14 +0100
Subject: [PATCH 165/441] Add option to set data index in EddyId

---
 CHANGELOG.md                                  |  1 +
 doc/grid_identification.rst                   | 12 +++++++++
 .../10_tracking_diagnostics/pet_groups.py     |  2 +-
 src/py_eddy_tracker/appli/grid.py             | 26 ++++++++++++++++---
 4 files changed, 37 insertions(+), 4 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 24c53451..aa117ef6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- Add option to EddyId to select data index like `--indexs time=5 depth=2`
 - Add a method to merge several indexs type for eddy obs
 - Acces at dataset variable like attribute, and lifetime/age are available for all observations
 - Add **EddyInfos** application to get general information about eddies dataset
diff --git a/doc/grid_identification.rst b/doc/grid_identification.rst
index 313f26ab..4d681252 100644
--- a/doc/grid_identification.rst
+++ b/doc/grid_identification.rst
@@ -25,6 +25,18 @@ An eddy identification will produce two files in the output directory, one for a
 
 In regional area which are away from the equator, current could be deduce from height, juste write *None None* inplace of *ugos vgos*
 
+In case of **datacube**, you need to specify index for each layer (time, depth, ...) wiht *--indexs* option like:
+
+.. code-block:: bash
+
+    EddyId share/nrt_global_allsat_phy_l4_20190223_20190226.nc 20190223 \
+        adt ugos vgos longitude latitude \
+        out_directory -v DEBUG --indexs time=0
+
+.. warning::
+    If no index are specified, you will apply identification only on dataset first layer, which could be
+    a problem for datacube. Date set in command is used only for output storage.
+
 Python code
 ***********
 
diff --git a/examples/10_tracking_diagnostics/pet_groups.py b/examples/10_tracking_diagnostics/pet_groups.py
index 83be3745..bc0da35d 100644
--- a/examples/10_tracking_diagnostics/pet_groups.py
+++ b/examples/10_tracking_diagnostics/pet_groups.py
@@ -1,6 +1,6 @@
 """
 Groups distribution
-==================
+===================
 
 """
 import py_eddy_tracker_sample
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 7dd9e852..39456643 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -2,6 +2,7 @@
 """
 All entry point to manipulate grid
 """
+from argparse import Action
 from datetime import datetime
 
 from .. import EddyParser
@@ -47,6 +48,17 @@ def grid_filtering():
     h.write(args.filename_out)
 
 
+class DictAction(Action):
+    def __call__(self, parser, namespace, values, option_string=None):
+        indexs = None
+        if len(values):
+            indexs = dict()
+            for value in values:
+                k, v = value.split("=")
+                indexs[k] = int(v)
+        setattr(namespace, self.dest, indexs)
+
+
 def eddy_id(args=None):
     parser = EddyParser("Eddy Identification")
     parser.add_argument("filename")
@@ -69,8 +81,14 @@ def eddy_id(args=None):
     parser.add_argument("--unregular", action="store_true", help="if grid is unregular")
     help = "Output will be wrote in zarr"
     parser.add_argument("--zarr", action="store_true", help=help)
+    help = "Indexs to select grid : --indexs time=2, will select third step along time dimensions"
+    parser.add_argument(
+        "--indexs",
+        nargs="*",
+        help=help,
+        action=DictAction,
+    )
     args = parser.parse_args(args) if args else parser.parse_args()
-
     date = datetime.strptime(args.datetime, "%Y%m%d")
     kwargs = dict(
         step=args.isoline_step,
@@ -90,7 +108,8 @@ def eddy_id(args=None):
         unregular=args.unregular,
         cut_wavelength=args.cut_wavelength,
         filter_order=args.filter_order,
-        **kwargs
+        indexs=args.indexs,
+        **kwargs,
     )
     out_name = date.strftime("%(path)s/%(sign_type)s_%Y%m%d.nc")
     a.write_file(path=args.path_out, filename=out_name, zarr_flag=args.zarr)
@@ -108,10 +127,11 @@ def identification(
     unregular=False,
     cut_wavelength=500,
     filter_order=1,
+    indexs=None,
     **kwargs
 ):
     grid_class = UnRegularGridDataset if unregular else RegularGridDataset
-    grid = grid_class(filename, lon, lat)
+    grid = grid_class(filename, lon, lat, indexs=indexs)
     if u == "None" and v == "None":
         grid.add_uv(h)
         u, v = "u", "v"

From 7b4702850e41e752b6d853c57774d3a457870928 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Wed, 18 Nov 2020 17:16:01 +0100
Subject: [PATCH 166/441] add filter to grid_stat and grid_count (#36)

---
 .../pet_filter_and_detection.py               |  4 +-
 .../02_eddy_identification/pet_sla_and_adt.py |  4 +-
 examples/06_grid_manipulation/pet_filter.py   |  4 +-
 .../pet_select_track_across_area.py           | 16 +------
 .../pet_center_count.py                       | 18 +++++++
 .../10_tracking_diagnostics/pet_pixel_used.py | 17 +++++++
 .../pet_center_count.ipynb                    | 22 ++++++++-
 .../pet_pixel_used.ipynb                      | 22 ++++++++-
 src/py_eddy_tracker/__init__.py               | 48 +++++--------------
 src/py_eddy_tracker/appli/network.py          |  9 +---
 src/py_eddy_tracker/dataset/grid.py           |  8 +---
 src/py_eddy_tracker/eddy_feature.py           |  4 +-
 .../old_tracker_reference.py                  | 19 ++------
 src/py_eddy_tracker/gui.py                    |  5 +-
 .../observations/observation.py               | 23 ++++-----
 15 files changed, 110 insertions(+), 113 deletions(-)

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 2ff62600..4a16fb6c 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -33,9 +33,7 @@ def update_axes(ax, mappable=None):
 # Add a new filed to store the high-pass filtered ADT
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
-    "longitude",
-    "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
 )
 g.add_uv("adt")
 g.copy("adt", "adt_high")
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index b7e43f72..4653b05b 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -31,9 +31,7 @@ def update_axes(ax, mappable=None):
 # Load Input grid, ADT will be used to detect eddies
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
-    "longitude",
-    "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
 )
 g.add_uv("adt", "ugos", "vgos")
 g.add_uv("sla", "ugosa", "vgosa")
diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index f6c2a1b9..84e71f22 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -32,9 +32,7 @@ def update_axes(ax, mappable=None):
 # %%
 # All information will be for regular grid
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
-    "longitude",
-    "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
 )
 # %%
 # Kernel
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index b4812be2..a7e4aeb9 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -32,20 +32,8 @@
 c.plot(ax, color="gray", lw=0.1, ref=-10, label="all tracks")
 c_subset.plot(ax, color="red", lw=0.2, ref=-10, label="selected tracks")
 ax.plot(
-    (
-        x0,
-        x0,
-        x1,
-        x1,
-        x0,
-    ),
-    (
-        y0,
-        y1,
-        y1,
-        y0,
-        y0,
-    ),
+    (x0, x0, x1, x1, x0,),
+    (y0, y1, y1, y0, y0,),
     color="green",
     lw=1.5,
     label="Box of selection",
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 324a4a87..6329fea6 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -68,3 +68,21 @@
     ax.set_aspect("equal")
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.grid()
+
+# %%
+# Count Anticyclones as a function of lifetime
+# --------------------------------------------
+# Count at the center's position
+
+fig = plt.figure(figsize=(12, 10))
+ax = fig.add_subplot(211)
+g_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)
+m = g_a.display(ax, **kwargs_pcolormesh)
+ax.set_aspect("equal")
+ax.set_title("Anticyclones with lifetime >= 30 days")
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))
+ax = fig.add_subplot(212)
+g_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)
+m = g_a.display(ax, **kwargs_pcolormesh)
+ax.set_aspect("equal")
+ax.set_title("Anticyclones with lifetime < 30 days")
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index c3c80469..5dee399e 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -64,3 +64,20 @@
     ax.set_aspect("equal")
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.grid()
+
+# %%
+# Count Anticyclones as a function of lifetime
+# --------------------------------------------
+
+fig = plt.figure(figsize=(12, 10))
+ax = fig.add_subplot(211)
+g_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)
+m = g_a.display(ax, **kwargs_pcolormesh)
+ax.set_aspect("equal")
+ax.set_title("Anticyclones with lifetime >= 30 days")
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))
+ax = fig.add_subplot(212)
+g_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)
+m = g_a.display(ax, **kwargs_pcolormesh)
+ax.set_aspect("equal")
+ax.set_title("Anticyclones with lifetime < 30 days")
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index d60b4ba0..dccc4f0b 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -64,6 +64,24 @@
       "source": [
         "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Count Anticyclones as a function of lifetime\nCount at the center's position\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 10))\nax = fig.add_subplot(211)\ng_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime >= 30 days\")\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))\nax = fig.add_subplot(212)\ng_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime < 30 days\")"
+      ]
     }
   ],
   "metadata": {
@@ -82,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 11a1ed23..c3e43a29 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom matplotlib.colors import LogNorm\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -64,6 +64,24 @@
       "source": [
         "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Count Anticyclones as a function of lifetime\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 10))\nax = fig.add_subplot(211)\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime >= 30 days\")\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))\nax = fig.add_subplot(212)\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime < 30 days\")"
+      ]
     }
   ],
   "metadata": {
@@ -82,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.6"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index ce53320d..c2b1ad03 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -149,10 +149,7 @@ def parse_args(self, *args, **kwargs):
         output_type="uint16",
         scale_factor=50.0,
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Distance to next position",
-            units="m",
-        ),
+        nc_attr=dict(long_name="Distance to next position", units="m",),
     ),
     virtual=dict(
         attr_name=None,
@@ -304,18 +301,14 @@ def parse_args(self, *args, **kwargs):
         nc_name="i",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Longitude index in the grid of the detection",
-        ),
+        nc_attr=dict(long_name="Longitude index in the grid of the detection",),
     ),
     j=dict(
         attr_name="j",
         nc_name="j",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Latitude index in the grid of the detection",
-        ),
+        nc_attr=dict(long_name="Latitude index in the grid of the detection",),
     ),
     eke=dict(
         attr_name="eke",
@@ -364,8 +357,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Trajectory number",
-            comment="Trajectory identification number",
+            long_name="Trajectory number", comment="Trajectory identification number",
         ),
     ),
     sub_track=dict(
@@ -374,8 +366,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Segment Number",
-            comment="Segment number inside a group",
+            long_name="Segment Number", comment="Segment number inside a group",
         ),
     ),
     n=dict(
@@ -498,11 +489,7 @@ def parse_args(self, *args, **kwargs):
         output_type="u1",
         scale_factor=0.4,
         nc_dims=("obs",),
-        nc_attr=dict(
-            units="%",
-            comment="score",
-            long_name="Score",
-        ),
+        nc_attr=dict(units="%", comment="score", long_name="Score",),
     ),
     index_other=dict(
         attr_name=None,
@@ -571,10 +558,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Chl"],
         nc_type="f4",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Log base 10 chlorophyll",
-            units="Log(Chl/[mg/m^3])",
-        ),
+        nc_attr=dict(long_name="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
     ),
     dchl=dict(
         attr_name=None,
@@ -594,8 +578,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll",
-            units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
@@ -604,10 +587,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Year"],
         nc_type="u2",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Year",
-            units="year",
-        ),
+        nc_attr=dict(long_name="Year", units="year",),
     ),
     month=dict(
         attr_name=None,
@@ -615,10 +595,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Month"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Month",
-            units="month",
-        ),
+        nc_attr=dict(long_name="Month", units="month",),
     ),
     day=dict(
         attr_name=None,
@@ -626,10 +603,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Day"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Day",
-            units="day",
-        ),
+        nc_attr=dict(long_name="Day", units="day",),
     ),
     nb_contour_selected=dict(
         attr_name=None,
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 403a0a9f..394924c5 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -21,8 +21,7 @@
 def build_network():
     parser = EddyParser("Merge eddies")
     parser.add_argument(
-        "identification_regex",
-        help="Give an expression which will use with glob",
+        "identification_regex", help="Give an expression which will use with glob",
     )
     parser.add_argument("out", help="output file")
     parser.add_argument(
@@ -294,11 +293,7 @@ def display_network(x, y, tr, t, c):
             lw=0.5,
         )
         ax_time.plot(
-            t[sl],
-            tr[s].repeat(e - s),
-            color=color,
-            lw=1,
-            marker="+",
+            t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+",
         )
         ax_time.text(t[s], tr[s] + 0.15, f"{x[s].mean():.2f}, {y[s].mean():.2f}")
         ax_time.axvline(t[s], color=".75", lw=0.5, ls="--", zorder=-10)
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 2fabb7dd..93bc16ac 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -301,8 +301,7 @@ def __init__(
         self.interpolators = dict()
         if centered is None:
             logger.warning(
-                "We assume pixel position of grid is center for %s",
-                filename,
+                "We assume pixel position of grid is center for %s", filename,
             )
         if not unset:
             self.load_general_features()
@@ -344,10 +343,7 @@ def load_general_features(self):
             self.variables_description = dict()
             for i, v in h.variables.items():
                 args = (i, v.datatype)
-                kwargs = dict(
-                    dimensions=v.dimensions,
-                    zlib=True,
-                )
+                kwargs = dict(dimensions=v.dimensions, zlib=True,)
                 if hasattr(v, "_FillValue"):
                     kwargs["fill_value"] = (v._FillValue,)
                 attrs = dict()
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 6d929ea0..457b06bb 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -431,8 +431,8 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = (
-                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
+            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
+                i, x, y
             )
             nb_level += 1
 
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index b3c36b3a..67e3e39a 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -25,13 +25,7 @@ def mask_function(self, other, distance):
         # Compute Parameter of ellips
         minor, major = 1.05, 1.5
         y = self.basic_formula_ellips_major_axis(
-            self.lat,
-            degrees=True,
-            c0=minor,
-            cmin=minor,
-            cmax=major,
-            lat1=23,
-            lat2=5,
+            self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5,
         )
         # mask from ellips
         mask = self.shifted_ellipsoid_degrees_mask(
@@ -40,11 +34,7 @@ def mask_function(self, other, distance):
 
         # We check ratio (maybe not usefull)
         check_ratio(
-            mask,
-            self.amplitude,
-            other.amplitude,
-            self.radius_e,
-            other.radius_e,
+            mask, self.amplitude, other.amplitude, self.radius_e, other.radius_e,
         )
         indexs_closest = where(mask)
         mask[indexs_closest] = self.across_ground(
@@ -55,10 +45,7 @@ def mask_function(self, other, distance):
     @classmethod
     def across_ground(cls, record0, record1):
         i, j, d_pix = cls.GROUND.compute_pixel_path(
-            x0=record0["lon"],
-            y0=record0["lat"],
-            x1=record1["lon"],
-            y1=record1["lat"],
+            x0=record0["lon"], y0=record0["lat"], x1=record1["lon"], y1=record1["lat"],
         )
 
         data = cls.GROUND.grid("mask")[i, j]
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 940c0cdc..d31841b6 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -89,10 +89,7 @@ def set_initial_values(self):
             t0_, t1_ = dataset.period
             t0, t1 = min(t0, t0_), max(t1, t1_)
 
-        self.settings = dict(
-            period=(t0, t1),
-            now=t1,
-        )
+        self.settings = dict(period=(t0, t1), now=t1,)
 
     @property
     def now(self):
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3ea68dc6..c9b54909 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1101,12 +1101,7 @@ def cost_function(records_in, records_out, distance):
 
     def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         return shifted_ellipsoid_degrees_mask2(
-            self.lon,
-            self.lat,
-            other.lon,
-            other.lat,
-            minor,
-            major,
+            self.lon, self.lat, other.lon, other.lat, minor, major,
         )
 
     def fixed_ellipsoid_mask(
@@ -1854,13 +1849,14 @@ def inside(self, x, y, intern=False):
         xname, yname = self.intern(intern)
         return insidepoly(x, y, self[xname], self[yname])
 
-    def grid_count(self, bins, intern=False, center=False):
+    def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
         """
         Count the eddies in each bin (use all pixels in each contour)
 
         :param (numpy.array,numpy.array) bins: bins (grid) to count
         :param bool intern: if True use speed contour only
         :param bool center: if True use of center to count
+        :param array,mask,slice filter: keep the data selected with the filter
         :return: return the grid of counts
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
@@ -1886,14 +1882,16 @@ def grid_count(self, bins, intern=False, center=False):
         )
         debug_active = logger.getEffectiveLevel() == logging.DEBUG
         if center:
-            x, y = (self.longitude - x0) % 360 + x0, self.latitude
+            x, y = (self.longitude[filter] - x0) % 360 + x0, self.latitude[filter]
             grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
             grid.mask = grid.data == 0
         else:
-            x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
+            x_ref = ((self.longitude[filter] - x0) % 360 + x0 - 180).reshape(-1, 1)
             # x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             nb = x_ref.shape[0]
-            for i_, (x, y_) in enumerate(zip(self[x_name], self[y_name])):
+            for i_, (x, y_) in enumerate(
+                zip(self[x_name][filter], self[y_name][filter])
+            ):
                 x_ = (x - x_ref[i_]) % 360 + x_ref[i_]
                 if debug_active and i_ % 10000 == 0:
                     print(f"{i_}/{nb}", end="\r")
@@ -2143,10 +2141,7 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     max_method = "max" == method
     mean_method = "mean" == method
     for elt in range(nb):
-        v = create_vertice(
-            x[elt],
-            y[elt],
-        )
+        v = create_vertice(x[elt], y[elt],)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
             v, x0, y0, xstep, ystep, 1, circular, nb_x
         )

From fbcc4868dca184993626b9e92d68f4da66613f3f Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 18 Nov 2020 22:15:39 +0100
Subject: [PATCH 167/441] - Add property nb_days - update merge filter

---
 notebooks/README.md                           |   1 -
 .../observations/observation.py               | 132 +++++++++++-------
 src/py_eddy_tracker/observations/tracking.py  |  10 ++
 3 files changed, 95 insertions(+), 48 deletions(-)

diff --git a/notebooks/README.md b/notebooks/README.md
index 6640e425..27bee160 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,4 +1,3 @@
-python setup.py install
 # rm build/sphinx/ doc/python_module/ doc/gen_modules/ -rf
 python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3ea68dc6..1f7ba8cc 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -25,6 +25,7 @@
     cos,
     digitize,
     empty,
+    errstate,
     floor,
     histogram,
     histogram2d,
@@ -119,6 +120,7 @@ class EddiesObservations(object):
         "observations",
         "sign_type",
         "raw_data",
+        "period_",
     )
 
     ELEMENTS = [
@@ -150,6 +152,7 @@ def __init__(
         only_variables=None,
         raw_data=False,
     ):
+        self.period_ = None
         self.only_variables = only_variables
         self.raw_data = raw_data
         self.track_extra_variables = (
@@ -1686,65 +1689,89 @@ def filled(
         c.norm = Normalize(vmin=vmin, vmax=vmax)
         return c
 
-    def merge_indexs(self, filter, index=None):
+    def __merge_filters__(self, *filters):
         """
-        Compute an intersectin between indexs and filters after to evaluate each of them
+        Compute an intersection between all filters after to evaluate each of them
 
-        :param callable,None,slice,array[int],array[bool] filter:
-        :param callable,None,slice,array[int],array[bool] index:
+        :param list(slice,array[int],array[bool]) filters:
 
         :return: Return applicable object to numpy.array
         :rtype: slice, index, mask
         """
-        # If filter is a function we apply on dataset
-        if callable(filter):
-            filter = filter(self)
-        # Solve indexs case
-        if index is not None:
-            index = self.merge_indexs(index)
+        filter1 = filters[0]
+        if len(filters) > 2:
+            filter2 = self.__merge_filters__(*filters[1:])
+        elif len(filters) == 2:
+            filter2 = filters[1]
         # Merge indexs and filter
-        if index is None and filter is None:
-            return slice(None)
-        if index is None:
-            return filter
-        if filter is None:
-            return index
-        if isinstance(index, slice):
+        if isinstance(filter1, slice):
             reject = ones(len(self), dtype="bool")
-            reject[index] = False
-            if isinstance(filter, slice):
-                reject[filter] = False
+            reject[filter1] = False
+            if isinstance(filter2, slice):
+                reject[filter2] = False
                 return ~reject
             # Mask case
-            elif filter.dtype == bool:
-                return ~reject * filter
+            elif filter2.dtype == bool:
+                return ~reject * filter2
             # index case
             else:
-                return filter[~reject[filter]]
+                return filter2[~reject[filter2]]
         # mask case
-        elif index.dtype == bool:
-            if isinstance(filter, slice):
+        elif filter1.dtype == bool:
+            if isinstance(filter2, slice):
                 select = zeros(len(self), dtype="bool")
-                select[filter] = True
-                return select * index
+                select[filter2] = True
+                return select * filter1
             # Mask case
-            elif filter.dtype == bool:
-                return filter * index
+            elif filter2.dtype == bool:
+                return filter2 * filter1
             # index case
             else:
-                return filter[index[filter]]
+                return filter2[filter1[filter2]]
         # index case
         else:
-            if isinstance(filter, slice):
+            if isinstance(filter2, slice):
                 select = zeros(len(self), dtype="bool")
-                select[filter] = True
-                return index[select[index]]
+                select[filter2] = True
+                return filter1[select[filter1]]
             # Mask case
-            elif filter.dtype == bool:
-                return index[filter[index]]
+            elif filter2.dtype == bool:
+                return filter1[filter2[filter1]]
             # index case
             else:
-                return index[in1d(index, filter)]
+                return filter1[in1d(filter1, filter2)]
+
+    def merge_filters(self, *filters):
+        """
+        Compute an intersection between all filters after to evaluate each of them
+
+        :param list(callable,None,slice,array[int],array[bool]) filters:
+
+        :return: Return applicable object to numpy.array
+        :rtype: slice, index, mask
+        """
+        filters_ = list()
+        # Remove all filter which select all obs
+        for filter in filters:
+            if callable(filter):
+                filter = filter(self)
+            if filter is None:
+                continue
+            if isinstance(filter, slice):
+                if slice(None) == slice(None):
+                    continue
+            if filter.dtype == "bool":
+                if filter.all():
+                    continue
+                if not filter.any():
+                    return empty(0, dtype=int)
+            filters_.append(filter)
+        if len(filters_) == 1:
+            return filters_[0]
+        elif len(filters_) == 0:
+            return slice(None)
+        else:
+            return self.__merge_filters__(*filters_)
 
     def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         """
@@ -1891,7 +1918,6 @@ def grid_count(self, bins, intern=False, center=False):
             grid.mask = grid.data == 0
         else:
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
-            # x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
             nb = x_ref.shape[0]
             for i_, (x, y_) in enumerate(zip(self[x_name], self[y_name])):
                 x_ = (x - x_ref[i_]) % 360 + x_ref[i_]
@@ -1974,15 +2000,16 @@ def grid_stat(self, bins, varname, data=None):
             nb_obs = histogram2d(x, y, (x_bins, y_bins))[0]
         from ..dataset.grid import RegularGridDataset
 
-        regular_grid = RegularGridDataset.with_array(
-            coordinates=("x", "y"),
-            datas={
-                varname: ma.array(sum_obs / nb_obs, mask=nb_obs == 0),
-                "x": x_bins[:-1],
-                "y": y_bins[:-1],
-            },
-            centered=False,
-        )
+        with errstate(divide="ignore", invalid="ignore"):
+            regular_grid = RegularGridDataset.with_array(
+                coordinates=("x", "y"),
+                datas={
+                    varname: ma.array(sum_obs / nb_obs, mask=nb_obs == 0),
+                    "x": x_bins[:-1],
+                    "y": y_bins[:-1],
+                },
+                centered=False,
+            )
         return regular_grid
 
     def interp_grid(
@@ -2030,7 +2057,18 @@ def period(self):
         :return: first and last date
         :rtype: (int,int)
         """
-        return self.time.min(), self.time.max()
+        if self.period_ is None:
+            self.period_ = self.time.min(), self.time.max()
+        return self.period_
+
+    @property
+    def nb_days(self):
+        """Return period days cover by dataset
+
+        :return: Number of days
+        :rtype: int
+        """
+        return self.period[1] - self.period[0] + 1
 
 
 @njit(cache=True)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 61e081df..d840284e 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -283,6 +283,16 @@ def compute_index(self):
             compute_index(self.tracks, self.__first_index_of_track, self.__obs_by_track)
             logger.debug("... OK")
 
+    @classmethod
+    def concatenate(cls, observations):
+        eddies = super().concatenate(observations)
+        last_track = 0
+        for obs in observations:
+            nb_obs = len(obs)
+            eddies.track[-nb_obs:] = obs.track + last_track
+            last_track = eddies.track[-nb_obs:].max() + 1
+        return eddies
+
     def count_by_track(self, mask):
         """
         Count by track

From 4937727ad96e639826d18bd51c9e95aea4cd9017 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 18 Nov 2020 23:03:42 +0100
Subject: [PATCH 168/441] update example

---
 .../pet_filter_and_detection.py               |  2 +-
 .../02_eddy_identification/pet_sla_and_adt.py |  2 +-
 examples/06_grid_manipulation/pet_filter.py   |  2 +-
 .../pet_select_track_across_area.py           |  4 ++--
 .../pet_center_count.py                       | 19 +++++++--------
 .../10_tracking_diagnostics/pet_pixel_used.py | 19 +++++++--------
 .../pet_filter_and_detection.ipynb            |  4 ++--
 .../pet_sla_and_adt.ipynb                     |  4 ++--
 .../06_grid_manipulation/pet_filter.ipynb     |  4 ++--
 .../pet_select_track_across_area.ipynb        |  4 ++--
 .../pet_center_count.ipynb                    |  4 ++--
 .../pet_pixel_used.ipynb                      |  4 ++--
 src/py_eddy_tracker/__init__.py               | 23 ++++++++++---------
 src/py_eddy_tracker/appli/network.py          |  6 ++---
 src/py_eddy_tracker/dataset/grid.py           |  4 ++--
 src/py_eddy_tracker/eddy_feature.py           |  4 ++--
 .../old_tracker_reference.py                  |  6 ++---
 src/py_eddy_tracker/gui.py                    |  2 +-
 .../observations/observation.py               |  7 +++++-
 19 files changed, 65 insertions(+), 59 deletions(-)

diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 4a16fb6c..d059e3e0 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -33,7 +33,7 @@ def update_axes(ax, mappable=None):
 # Add a new filed to store the high-pass filtered ADT
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 g.add_uv("adt")
 g.copy("adt", "adt_high")
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index 4653b05b..ea754732 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -31,7 +31,7 @@ def update_axes(ax, mappable=None):
 # Load Input grid, ADT will be used to detect eddies
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 g.add_uv("adt", "ugos", "vgos")
 g.add_uv("sla", "ugosa", "vgosa")
diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index 84e71f22..2975325d 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -32,7 +32,7 @@ def update_axes(ax, mappable=None):
 # %%
 # All information will be for regular grid
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude",
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 # %%
 # Kernel
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index a7e4aeb9..4de5572c 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -32,8 +32,8 @@
 c.plot(ax, color="gray", lw=0.1, ref=-10, label="all tracks")
 c_subset.plot(ax, color="red", lw=0.2, ref=-10, label="selected tracks")
 ax.plot(
-    (x0, x0, x1, x1, x0,),
-    (y0, y1, y1, y0, y0,),
+    (x0, x0, x1, x1, x0),
+    (y0, y1, y1, y0, y0),
     color="green",
     lw=1.5,
     label="Box of selection",
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 6329fea6..c6f9d3f1 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -75,14 +75,15 @@
 # Count at the center's position
 
 fig = plt.figure(figsize=(12, 10))
-ax = fig.add_subplot(211)
+ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
 g_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)
-m = g_a.display(ax, **kwargs_pcolormesh)
-ax.set_aspect("equal")
-ax.set_title("Anticyclones with lifetime >= 30 days")
-cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))
-ax = fig.add_subplot(212)
+m = g_a.display(ax_long, **kwargs_pcolormesh)
+ax_long.set_title("Anticyclones with lifetime >= 30 days")
+ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
 g_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)
-m = g_a.display(ax, **kwargs_pcolormesh)
-ax.set_aspect("equal")
-ax.set_title("Anticyclones with lifetime < 30 days")
+m = g_a.display(ax_short, **kwargs_pcolormesh)
+ax_short.set_title("Anticyclones with lifetime < 30 days")
+for ax in (ax_short, ax_long):
+    ax.set_aspect("equal"), ax.grid()
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 5dee399e..cbcdb71d 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -70,14 +70,15 @@
 # --------------------------------------------
 
 fig = plt.figure(figsize=(12, 10))
-ax = fig.add_subplot(211)
+ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
 g_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)
-m = g_a.display(ax, **kwargs_pcolormesh)
-ax.set_aspect("equal")
-ax.set_title("Anticyclones with lifetime >= 30 days")
-cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))
-ax = fig.add_subplot(212)
+m = g_a.display(ax_long, **kwargs_pcolormesh)
+ax_long.set_title("Anticyclones with lifetime >= 30 days")
+ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
 g_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)
-m = g_a.display(ax, **kwargs_pcolormesh)
-ax.set_aspect("equal")
-ax.set_title("Anticyclones with lifetime < 30 days")
+m = g_a.display(ax_short, **kwargs_pcolormesh)
+ax_short.set_title("Anticyclones with lifetime < 30 days")
+for ax in (ax_short, ax_long):
+    ax.set_aspect("equal"), ax.grid()
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 6c6c26ac..cbcc2069 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom numpy import arange"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 9e37e38f..6ac6d407 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index 9b801f78..dcc9c0d3 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+        "from matplotlib import pyplot as plt\nfrom numpy import arange\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\",\n)"
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index 2c251866..ddba6afc 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0,),\n    (y0, y1, y1, y0, y0,),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0),\n    (y0, y1, y1, y0, y0),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index dccc4f0b..7964dc3d 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 10))\nax = fig.add_subplot(211)\ng_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime >= 30 days\")\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))\nax = fig.add_subplot(212)\ng_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime < 30 days\")"
+        "fig = plt.figure(figsize=(12, 10))\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)\nm = g_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(\"Anticyclones with lifetime >= 30 days\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(\"Anticyclones with lifetime < 30 days\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
       ]
     }
   ],
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index c3e43a29..d5260668 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 10))\nax = fig.add_subplot(211)\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime >= 30 days\")\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.1, 0.015, 0.8]))\nax = fig.add_subplot(212)\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)\nm = g_a.display(ax, **kwargs_pcolormesh)\nax.set_aspect(\"equal\")\nax.set_title(\"Anticyclones with lifetime < 30 days\")"
+        "fig = plt.figure(figsize=(12, 10))\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)\nm = g_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(\"Anticyclones with lifetime >= 30 days\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(\"Anticyclones with lifetime < 30 days\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
       ]
     }
   ],
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index c2b1ad03..9be2d280 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -149,7 +149,7 @@ def parse_args(self, *args, **kwargs):
         output_type="uint16",
         scale_factor=50.0,
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Distance to next position", units="m",),
+        nc_attr=dict(long_name="Distance to next position", units="m"),
     ),
     virtual=dict(
         attr_name=None,
@@ -301,14 +301,14 @@ def parse_args(self, *args, **kwargs):
         nc_name="i",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Longitude index in the grid of the detection",),
+        nc_attr=dict(long_name="Longitude index in the grid of the detection"),
     ),
     j=dict(
         attr_name="j",
         nc_name="j",
         nc_type="uint16",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Latitude index in the grid of the detection",),
+        nc_attr=dict(long_name="Latitude index in the grid of the detection"),
     ),
     eke=dict(
         attr_name="eke",
@@ -357,7 +357,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Trajectory number", comment="Trajectory identification number",
+            long_name="Trajectory number", comment="Trajectory identification number"
         ),
     ),
     sub_track=dict(
@@ -366,7 +366,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Segment Number", comment="Segment number inside a group",
+            long_name="Segment Number", comment="Segment number inside a group"
         ),
     ),
     n=dict(
@@ -489,7 +489,7 @@ def parse_args(self, *args, **kwargs):
         output_type="u1",
         scale_factor=0.4,
         nc_dims=("obs",),
-        nc_attr=dict(units="%", comment="score", long_name="Score",),
+        nc_attr=dict(units="%", comment="score", long_name="Score"),
     ),
     index_other=dict(
         attr_name=None,
@@ -558,7 +558,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Chl"],
         nc_type="f4",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])",),
+        nc_attr=dict(long_name="Log base 10 chlorophyll", units="Log(Chl/[mg/m^3])"),
     ),
     dchl=dict(
         attr_name=None,
@@ -578,7 +578,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll",
+            units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
@@ -587,7 +588,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Year"],
         nc_type="u2",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Year", units="year",),
+        nc_attr=dict(long_name="Year", units="year"),
     ),
     month=dict(
         attr_name=None,
@@ -595,7 +596,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Month"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Month", units="month",),
+        nc_attr=dict(long_name="Month", units="month"),
     ),
     day=dict(
         attr_name=None,
@@ -603,7 +604,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["Day"],
         nc_type="u1",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Day", units="day",),
+        nc_attr=dict(long_name="Day", units="day"),
     ),
     nb_contour_selected=dict(
         attr_name=None,
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 394924c5..c92f1d3d 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -21,7 +21,7 @@
 def build_network():
     parser = EddyParser("Merge eddies")
     parser.add_argument(
-        "identification_regex", help="Give an expression which will use with glob",
+        "identification_regex", help="Give an expression which will use with glob"
     )
     parser.add_argument("out", help="output file")
     parser.add_argument(
@@ -292,9 +292,7 @@ def display_network(x, y, tr, t, c):
             label=f"{tr[s]} - {e-s} obs",
             lw=0.5,
         )
-        ax_time.plot(
-            t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+",
-        )
+        ax_time.plot(t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+")
         ax_time.text(t[s], tr[s] + 0.15, f"{x[s].mean():.2f}, {y[s].mean():.2f}")
         ax_time.axvline(t[s], color=".75", lw=0.5, ls="--", zorder=-10)
         ax_time.text(
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 93bc16ac..d4bde110 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -301,7 +301,7 @@ def __init__(
         self.interpolators = dict()
         if centered is None:
             logger.warning(
-                "We assume pixel position of grid is center for %s", filename,
+                "We assume pixel position of grid is center for %s", filename
             )
         if not unset:
             self.load_general_features()
@@ -343,7 +343,7 @@ def load_general_features(self):
             self.variables_description = dict()
             for i, v in h.variables.items():
                 args = (i, v.datatype)
-                kwargs = dict(dimensions=v.dimensions, zlib=True,)
+                kwargs = dict(dimensions=v.dimensions, zlib=True)
                 if hasattr(v, "_FillValue"):
                     kwargs["fill_value"] = (v._FillValue,)
                 attrs = dict()
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 457b06bb..6d929ea0 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -431,8 +431,8 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
-                i, x, y
+            collection.get_nearest_path_bbox_contain_pt = (
+                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
             )
             nb_level += 1
 
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 67e3e39a..7baaffd3 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -25,7 +25,7 @@ def mask_function(self, other, distance):
         # Compute Parameter of ellips
         minor, major = 1.05, 1.5
         y = self.basic_formula_ellips_major_axis(
-            self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5,
+            self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5
         )
         # mask from ellips
         mask = self.shifted_ellipsoid_degrees_mask(
@@ -34,7 +34,7 @@ def mask_function(self, other, distance):
 
         # We check ratio (maybe not usefull)
         check_ratio(
-            mask, self.amplitude, other.amplitude, self.radius_e, other.radius_e,
+            mask, self.amplitude, other.amplitude, self.radius_e, other.radius_e
         )
         indexs_closest = where(mask)
         mask[indexs_closest] = self.across_ground(
@@ -45,7 +45,7 @@ def mask_function(self, other, distance):
     @classmethod
     def across_ground(cls, record0, record1):
         i, j, d_pix = cls.GROUND.compute_pixel_path(
-            x0=record0["lon"], y0=record0["lat"], x1=record1["lon"], y1=record1["lat"],
+            x0=record0["lon"], y0=record0["lat"], x1=record1["lon"], y1=record1["lat"]
         )
 
         data = cls.GROUND.grid("mask")[i, j]
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index d31841b6..1485c08c 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -89,7 +89,7 @@ def set_initial_values(self):
             t0_, t1_ = dataset.period
             t0, t1 = min(t0, t0_), max(t1, t1_)
 
-        self.settings = dict(period=(t0, t1), now=t1,)
+        self.settings = dict(period=(t0, t1), now=t1)
 
     @property
     def now(self):
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index b1ce5e29..75a46bbf 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1104,7 +1104,12 @@ def cost_function(records_in, records_out, distance):
 
     def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         return shifted_ellipsoid_degrees_mask2(
-            self.lon, self.lat, other.lon, other.lat, minor, major,
+            self.lon,
+            self.lat,
+            other.lon,
+            other.lat,
+            minor,
+            major,
         )
 
     def fixed_ellipsoid_mask(

From 8aa902cdb4b8b5529ed3704e07140c4506b8e096 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 19 Nov 2020 10:00:45 +0100
Subject: [PATCH 169/441] merge_filter correction

---
 .../pet_center_count.py                       | 14 ++++++-------
 .../10_tracking_diagnostics/pet_pixel_used.py | 20 ++++++++++---------
 .../observations/observation.py               |  4 ++--
 3 files changed, 20 insertions(+), 18 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index c6f9d3f1..4260e3a4 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -1,7 +1,6 @@
 """
 Count center
 ============
-
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
@@ -18,12 +17,12 @@
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
+# %%
 # Parameters
-t0, t1 = a.period
 step = 0.125
 bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(
-    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name="count"
+    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (a.nb_days * step ** 2), name="count"
 )
 
 
@@ -75,14 +74,15 @@
 # Count at the center's position
 
 fig = plt.figure(figsize=(12, 10))
+mask = a.lifetime >= 60
 ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
-g_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)
+g_a = a.grid_count(bins, center=True, filter=mask)
 m = g_a.display(ax_long, **kwargs_pcolormesh)
-ax_long.set_title("Anticyclones with lifetime >= 30 days")
+ax_long.set_title(f"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)")
 ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
-g_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)
+g_a = a.grid_count(bins, center=True, filter=~mask)
 m = g_a.display(ax_short, **kwargs_pcolormesh)
-ax_short.set_title("Anticyclones with lifetime < 30 days")
+ax_short.set_title(f"Anticyclones with lifetime < 60 days ({(~mask).sum()} Obs)")
 for ax in (ax_short, ax_long):
     ax.set_aspect("equal"), ax.grid()
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index cbcdb71d..908f7933 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -1,7 +1,6 @@
 """
 Count pixel used
-======================
-
+================
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
@@ -17,13 +16,16 @@
 c = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-t0, t1 = a.period
+
+# %%
+# Parameters
 step = 0.125
 bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(
-    cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name="count"
+    cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / a.nb_days, name="count"
 )
 
+
 # %%
 # Plot
 fig = plt.figure(figsize=(12, 18.5))
@@ -68,16 +70,16 @@
 # %%
 # Count Anticyclones as a function of lifetime
 # --------------------------------------------
-
 fig = plt.figure(figsize=(12, 10))
+mask = a.lifetime >= 60
 ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
-g_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)
+g_a = a.grid_count(bins, intern=True, filter=mask)
 m = g_a.display(ax_long, **kwargs_pcolormesh)
-ax_long.set_title("Anticyclones with lifetime >= 30 days")
+ax_long.set_title(f"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)")
 ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
-g_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)
+g_a = a.grid_count(bins, intern=True, filter=~mask)
 m = g_a.display(ax_short, **kwargs_pcolormesh)
-ax_short.set_title("Anticyclones with lifetime < 30 days")
+ax_short.set_title(f"Anticyclones with lifetime < 60 days ({(~mask).sum()} Obs)")
 for ax in (ax_short, ax_long):
     ax.set_aspect("equal"), ax.grid()
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 75a46bbf..f4c53336 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1758,9 +1758,9 @@ def merge_filters(self, *filters):
             if filter is None:
                 continue
             if isinstance(filter, slice):
-                if slice(None) == slice(None):
+                if filter == slice(None):
                     continue
-            if filter.dtype == "bool":
+            elif filter.dtype == "bool":
                 if filter.all():
                     continue
                 if not filter.any():

From 427e4ca31e239d1c5e9b231a1ec767065c329872 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 19 Nov 2020 12:12:32 +0100
Subject: [PATCH 170/441] Solve bug due to a method name changed not reported
 everywhere

---
 .../pet_eddy_detection_gulf_stream.py              | 12 ++++++------
 .../08_tracking_manipulation/pet_track_anim.py     | 14 +++++++-------
 examples/10_tracking_diagnostics/pet_groups.py     |  2 +-
 .../pet_eddy_detection_gulf_stream.ipynb           |  4 ++--
 .../08_tracking_manipulation/pet_track_anim.ipynb  |  4 ++--
 .../10_tracking_diagnostics/pet_groups.ipynb       |  2 +-
 src/py_eddy_tracker/observations/observation.py    |  2 +-
 7 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index 7566a86f..091c87e9 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -101,12 +101,12 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
-# Criteria for rejecting a contour
-# 0. - Accepted (green)
-# 1. - Rejection for shape error (red)
-# 2. - Masked value within contour (blue)
-# 3. - Under or over the pixel limit bounds (black)
-# 4. - Amplitude criterion (yellow)
+# Criteria for rejecting a contour :
+#  0. Accepted (green)
+#  1. Rejection for shape error (red)
+#  2. Masked value within contour (blue)
+#  3. Under or over the pixel limit bounds (black)
+#  4. Amplitude criterion (yellow)
 ax = start_axes("Contours' rejection criteria")
 g.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)
 update_axes(ax)
diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index b563cdda..f65ad157 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -20,13 +20,13 @@
 
 # %%
 # Run animation
-# Key shortcut
-#   Escape => exit
-#   SpaceBar => pause
-#   left arrow => t - 1
-#   right arrow => t + 1
-#   + => speed increase of 10 %
-#   - => speed decrease of 10 %
+# Key shortcut :
+#  * Escape => exit
+#  * SpaceBar => pause
+#  * left arrow => t - 1
+#  * right arrow => t + 1
+#  * \+ => speed increase of 10 %
+#  * \- => speed decrease of 10 %
 a = Anim(eddy, sleep_event=1e-10, intern=True, figsize=(8, 3.5), cmap="viridis")
 a.txt.set_position((17, 34.6))
 a.ax.set_xlim(16.5, 23)
diff --git a/examples/10_tracking_diagnostics/pet_groups.py b/examples/10_tracking_diagnostics/pet_groups.py
index bc0da35d..e080310b 100644
--- a/examples/10_tracking_diagnostics/pet_groups.py
+++ b/examples/10_tracking_diagnostics/pet_groups.py
@@ -31,7 +31,7 @@
 def stats_compilation(dataset, groups, field, bins, filter=None):
     datas = dict(ref=dataset.bins_stat(field, bins=bins, mask=filter)[1], y=dict())
     for k, index in groups.items():
-        i = dataset.merge_indexs(filter, index)
+        i = dataset.merge_filters(filter, index)
         x, datas["y"][k] = dataset.bins_stat(field, bins=bins, mask=i)
     datas["x"], datas["bins"] = x, bins
     return datas
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 6af2e76b..637e4b0d 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from numpy import arange\nfrom datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.eddy_feature import Contours"
       ]
     },
     {
@@ -170,7 +170,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Criteria for rejecting a contour\n0. - Accepted (green)\n1. - Rejection for shape error (red)\n2. - Masked value within contour (blue)\n3. - Under or over the pixel limit bounds (black)\n4. - Amplitude criterion (yellow)\n\n"
+        "Criteria for rejecting a contour :\n 0. Accepted (green)\n 1. Rejection for shape error (red)\n 2. Masked value within contour (blue)\n 3. Under or over the pixel limit bounds (black)\n 4. Amplitude criterion (yellow)\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 6e4faad6..9a2510b2 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli.gui import Anim\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Run animation\nKey shortcut\n  Escape => exit\n  SpaceBar => pause\n  left arrow => t - 1\n  right arrow => t + 1\n  + => speed increase of 10 %\n  - => speed decrease of 10 %\n\n"
+        "Run animation\nKey shortcut :\n * Escape => exit\n * SpaceBar => pause\n * left arrow => t - 1\n * right arrow => t + 1\n * \\+ => speed increase of 10 %\n * \\- => speed decrease of 10 %\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
index a523386a..944167fd 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "def stats_compilation(dataset, groups, field, bins, filter=None):\n    datas = dict(ref=dataset.bins_stat(field, bins=bins, mask=filter)[1], y=dict())\n    for k, index in groups.items():\n        i = dataset.merge_indexs(filter, index)\n        x, datas[\"y\"][k] = dataset.bins_stat(field, bins=bins, mask=i)\n    datas[\"x\"], datas[\"bins\"] = x, bins\n    return datas\n\n\ndef plot_stats(ax, bins, x, y, ref, box=False, cmap=None, percentiles=None, **kw):\n    base, ref = ones(x.shape) * 100.0, ref / 100.0\n    x = arange(bins.shape[0]).repeat(2)[1:-1] if box else x\n    y0 = base\n    if cmap is not None:\n        cmap, nb_groups = plt.get_cmap(cmap), len(y)\n    keys = tuple(y.keys())\n    for i, k in enumerate(keys[::-1]):\n        y1 = y0 - y[k] / ref\n        args = (y0.repeat(2), y1.repeat(2)) if box else (y0, y1)\n        if cmap is not None:\n            kw[\"color\"] = cmap(1 - i / (nb_groups - 1))\n        ax.fill_between(x, *args, label=k, **kw)\n        y0 = y1\n    if percentiles:\n        for b in bins:\n            ax.axvline(b, **percentiles)"
+        "def stats_compilation(dataset, groups, field, bins, filter=None):\n    datas = dict(ref=dataset.bins_stat(field, bins=bins, mask=filter)[1], y=dict())\n    for k, index in groups.items():\n        i = dataset.merge_filters(filter, index)\n        x, datas[\"y\"][k] = dataset.bins_stat(field, bins=bins, mask=i)\n    datas[\"x\"], datas[\"bins\"] = x, bins\n    return datas\n\n\ndef plot_stats(ax, bins, x, y, ref, box=False, cmap=None, percentiles=None, **kw):\n    base, ref = ones(x.shape) * 100.0, ref / 100.0\n    x = arange(bins.shape[0]).repeat(2)[1:-1] if box else x\n    y0 = base\n    if cmap is not None:\n        cmap, nb_groups = plt.get_cmap(cmap), len(y)\n    keys = tuple(y.keys())\n    for i, k in enumerate(keys[::-1]):\n        y1 = y0 - y[k] / ref\n        args = (y0.repeat(2), y1.repeat(2)) if box else (y0, y1)\n        if cmap is not None:\n            kw[\"color\"] = cmap(1 - i / (nb_groups - 1))\n        ax.fill_between(x, *args, label=k, **kw)\n        y0 = y1\n    if percentiles:\n        for b in bins:\n            ax.axvline(b, **percentiles)"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f4c53336..0c56df1c 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1786,7 +1786,7 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
         """
         v = self[xname] if isinstance(xname, str) else xname
-        mask = self.merge_indexs(mask)
+        mask = self.merge_filters(mask)
         v = v[mask]
         if bins is None:
             bins = arange(v.min(), v.max() + 2)

From 08f937c0215c843d979235048f7c92e215eecc45 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 19 Nov 2020 12:37:38 +0100
Subject: [PATCH 171/441] Speed up pixel counting

---
 src/py_eddy_tracker/dataset/grid.py           | 21 ++++-
 .../observations/observation.py               | 81 ++++++++++++++++---
 2 files changed, 86 insertions(+), 16 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d4bde110..d27c8772 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1198,10 +1198,23 @@ def bbox_indice(self, vertices):
         )
 
     def get_pixels_in(self, contour):
-        (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
-        return get_pixel_in_regular(
-            contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
-        )
+        """
+        Get indices of pixels in contour.
+
+        :param vertice,Path contour: Contour which enclosed some pixels
+        :return: Indices of grid in contour
+        :rtype: array[int],array[int]
+        """
+        if isinstance(contour, BasePath):
+            (x_start, x_stop), (y_start, y_stop) = contour.bbox_slice
+            return get_pixel_in_regular(
+                contour.vertices, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
+            )
+        else:
+            (x_start, x_stop), (y_start, y_stop) = self.bbox_indice(contour)
+            return get_pixel_in_regular(
+                contour, self.x_c, self.y_c, x_start, x_stop, y_start, y_stop
+            )
 
     def normalize_x_indice(self, indices):
         return indices % self.x_size
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0c56df1c..7a2bfb7f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1912,24 +1912,28 @@ def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
             ),
             centered=True,
         )
-        debug_active = logger.getEffectiveLevel() == logging.DEBUG
         if center:
             x, y = (self.longitude[filter] - x0) % 360 + x0, self.latitude[filter]
             grid[:] = histogram2d(x, y, (x_bins, y_bins))[0]
             grid.mask = grid.data == 0
         else:
             x_ref = ((self.longitude[filter] - x0) % 360 + x0 - 180).reshape(-1, 1)
-            nb = x_ref.shape[0]
-            for i_, (x, y_) in enumerate(
-                zip(self[x_name][filter], self[y_name][filter])
-            ):
-                x_ = (x - x_ref[i_]) % 360 + x_ref[i_]
-                if debug_active and i_ % 10000 == 0:
-                    print(f"{i_}/{nb}", end="\r")
-                i, j = BasePath(create_vertice(x_, y_)).pixels_in(regular_grid)
-                grid_count_(grid, i, j)
-            if debug_active:
-                print()
+            x_contour, y_contour = self[x_name][filter], self[y_name][filter]
+            grid_count_pixel_in(
+                grid,
+                x_contour,
+                y_contour,
+                x_ref,
+                regular_grid.x_bounds,
+                regular_grid.y_bounds,
+                regular_grid.xstep,
+                regular_grid.ystep,
+                regular_grid.N,
+                regular_grid.is_circular(),
+                regular_grid.x_size,
+                regular_grid.x_c,
+                regular_grid.y_c,
+            )
             grid.mask = grid == 0
         return regular_grid
 
@@ -2083,6 +2087,59 @@ def grid_count_(grid, i, j):
         grid[i_, j_] += 1
 
 
+@njit(cache=True)
+def grid_count_pixel_in(
+    grid,
+    x,
+    y,
+    x_ref,
+    x_bounds,
+    y_bounds,
+    xstep,
+    ystep,
+    N,
+    is_circular,
+    x_size,
+    x_c,
+    y_c,
+):
+    """
+    Count how many time a pixel is used.
+
+    :param array grid:
+    :param array x: x for all contour
+    :param array y: y for all contour
+    :param array x_ref: x reference for wrapping
+    :param array x_bounds: grid longitude
+    :param array y_bounds: grid latitude
+    :param float xstep: step between two longitude
+    :param float ystep: step between two latitude
+    :param int N: shift of index to enlarge window
+    :param bool is_circular: To know if grid is wrappable
+    :param int x_size: Number of longitude
+    :param array x_c: longitude coordinate of grid
+    :param array y_c: latitude coordinate of grid
+    """
+    nb = x_ref.shape[0]
+    for i_ in range(nb):
+        x_, y_, x_ref_ = x[i_], y[i_], x_ref[i_]
+        x_ = (x_ - x_ref_) % 360 + x_ref_
+        v = create_vertice(x_, y_)
+        (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
+            v,
+            x_bounds,
+            y_bounds,
+            xstep,
+            ystep,
+            N,
+            is_circular,
+            x_size,
+        )
+
+        i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
+        grid_count_(grid, i, j)
+
+
 @njit(cache=True)
 def insidepoly(x_p, y_p, x_c, y_c):
     """

From 5751bb93c2ea881f6383399d40cbc0939d402e01 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Thu, 19 Nov 2020 18:58:35 +0100
Subject: [PATCH 172/441] add lifetime attr as item (#37)

* add test for lifetime (item)

* add lifetime as attribut (item)
---
 src/py_eddy_tracker/observations/observation.py | 9 +++------
 tests/test_track.py                             | 3 +++
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7a2bfb7f..598565c5 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -288,6 +288,8 @@ def __getitem__(self, attr: str):
             return self.obs[attr]
         elif attr in VAR_DESCR_inv:
             return self.obs[VAR_DESCR_inv[attr]]
+        elif attr in ("lifetime", "age"):
+            return getattr(self, attr)
         raise KeyError("%s unknown" % attr)
 
     def __getattr__(self, attr):
@@ -1104,12 +1106,7 @@ def cost_function(records_in, records_out, distance):
 
     def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         return shifted_ellipsoid_degrees_mask2(
-            self.lon,
-            self.lat,
-            other.lon,
-            other.lat,
-            minor,
-            major,
+            self.lon, self.lat, other.lon, other.lat, minor, major,
         )
 
     def fixed_ellipsoid_mask(
diff --git a/tests/test_track.py b/tests/test_track.py
index ac10b749..f1d5903e 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -45,3 +45,6 @@ def test_area_tracking_parameter():
         c.to_netcdf(h)
         c_reloaded = Correspondances.from_netcdf(h)
         assert class_kw == c_reloaded.class_kw
+
+    # test access to the lifetime (item)
+    eddies_tracked["lifetime"]

From cb3c47a07c075099cfa034ad081d8ea408a3eff0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 19 Nov 2020 23:13:14 +0100
Subject: [PATCH 173/441] change how to control if grid is circular add use of
 filter

---
 src/py_eddy_tracker/generic.py                  | 2 +-
 src/py_eddy_tracker/observations/observation.py | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index ccba55d9..f9955658 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -198,7 +198,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y, nearest=False):
     y_step = y_g[1] - y_ref
     nb_x = x_g.shape[0]
     nb_y = y_g.shape[0]
-    is_circular = (x_g[-1] + x_step) % 360 == x_g[0] % 360
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
     z = empty(x.shape, dtype=z_g.dtype)
     for i in prange(x.size):
         x_ = (x[i] - x_ref) / x_step
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7a2bfb7f..4d7c5868 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1750,6 +1750,8 @@ def merge_filters(self, *filters):
         :return: Return applicable object to numpy.array
         :rtype: slice, index, mask
         """
+        if len(filters) == 1 and isinstance(filters[0], list):
+            filters = filters[0]
         filters_ = list()
         # Remove all filter which select all obs
         for filter in filters:
@@ -1894,6 +1896,7 @@ def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.grid_count
         """
+        filter = self.merge_filters(filter)
         x_name, y_name = self.intern(intern)
         x_bins, y_bins = arange(*bins[0]), arange(*bins[1])
         x0 = bins[0][0]

From 00a0fa85f705161f3fd43ed3abc37e8553ececf2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 20 Nov 2020 19:41:00 +0100
Subject: [PATCH 174/441] add filter to grid_box_stat

---
 src/py_eddy_tracker/observations/observation.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index daf7dbd3..be693421 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1937,7 +1937,7 @@ def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
             grid.mask = grid == 0
         return regular_grid
 
-    def grid_box_stat(self, bins, varname, method=50, data=None):
+    def grid_box_stat(self, bins, varname, method=50, data=None, filter=slice(None)):
         """
         Compute mean of eddies in each bin
 
@@ -1945,6 +1945,7 @@ def grid_box_stat(self, bins, varname, method=50, data=None):
         :param str varname: variable to apply the method
         :param str,float method: method to apply. If float, use ?
         :param array data: Array used to compute stat if defined
+        :param array,mask,slice filter: keep the data selected with the filter
         :return: return grid of method
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset
 
@@ -1955,8 +1956,10 @@ def grid_box_stat(self, bins, varname, method=50, data=None):
         x, y = (self.longitude - x0) % 360 + x0, self.latitude
         data = self[varname] if data is None else data
         if hasattr(data, "mask"):
-            m = ~data.mask
-            x, y, data = x[m], y[m], data[m]
+            filter = self.merge_filters(~data.mask, self.merge_filters(filter))
+        else:
+            filter = self.merge_filters(filter)
+        x, y, data = x[filter], y[filter], data[filter]
 
         from ..dataset.grid import RegularGridDataset
 

From ffa7714fc5d21ac88745cef0debf2811e87cd257 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 21 Nov 2020 22:47:36 +0100
Subject: [PATCH 175/441] Add a stencil story

---
 src/py_eddy_tracker/dataset/grid.py | 72 ++++++++++++++++++++++++++++-
 1 file changed, 71 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d27c8772..f7c35cef 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1609,6 +1609,76 @@ def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=Fal
     def compute_stencil(
         self, data, stencil_halfwidth=4, mode="reflect", vertical=False
     ):
+        r"""
+        Apply stencil ponderation on field.
+
+        :param array data: array where apply stencil
+        :param int stencil_halfwidth: from 1 t0 4, maximal stencil used
+        :param str mode: convolution mode
+        :param bool vertical: if True, method apply a vertical convolution
+        :return: gradient array from stencil application
+        :rtype: array
+
+        Short story, how to get stencil coefficient for stencil (3 points, 5 points and 7 points)
+
+        Taylor's theorem:
+
+        .. math::
+            f(x \pm h) = f(x) \pm f'(x)h
+                + \frac{f''(x)h^2}{2!} \pm \frac{f^{(3)}(x)h^3}{3!}
+                + \frac{f^{(4)}(x)h^4}{4!} \pm \frac{f^{(5)}(x)h^5}{5!}
+                + O(h^6)
+
+        If we stop at `O(h^2)`, we get classic differenciation (stencil 3 points):
+
+        .. math:: f(x+h) - f(x-h) = f(x) - f(x) + 2 f'(x)h + O(h^2)
+
+        .. math:: f'(x) = \frac{f(x+h) - f(x-h)}{2h} + O(h^2)
+
+        If we stop at `O(h^4)`, we will get stencil 5 points:
+
+        .. math::
+            f(x+h) - f(x-h) = 2 f'(x)h + 2 \frac{f^{(3)}(x)h^3}{3!} + O(h^4)
+            :label: E1
+
+        .. math::
+            f(x+2h) - f(x-2h) = 4 f'(x)h + 16 \frac{f^{(3)}(x)h^3}{3!} + O(h^4)
+            :label: E2
+
+        If we multiply equation :eq:`E1` by 8 and substract equation :eq:`E2`, we get:
+
+        .. math:: 8(f(x+h) - f(x-h)) - (f(x+2h) - f(x-2h)) = 16 f'(x)h - 4 f'(x)h + O(h^4)
+
+        .. math:: f'(x) = \frac{f(x-2h) - 8f(x-h) + 8f(x+h) - f(x+2h)}{12h} + O(h^4)
+
+        If we stop at `O(h^6)`, we will get stencil 7 points:
+
+        .. math::
+            f(x+h) - f(x-h) = 2 f'(x)h + 2 \frac{f^{(3)}(x)h^3}{3!} + 2 \frac{f^{(5)}(x)h^5}{5!} + O(h^6)
+            :label: E3
+
+        .. math::
+            f(x+2h) - f(x-2h) = 4 f'(x)h + 16 \frac{f^{(3)}(x)h^3}{3!} + 64 \frac{f^{(5)}(x)h^5}{5!} + O(h^6)
+            :label: E4
+
+        .. math::
+            f(x+3h) - f(x-3h) = 6 f'(x)h + 54 \frac{f^{(3)}(x)h^3}{3!} + 486 \frac{f^{(5)}(x)h^5}{5!} + O(h^6)
+            :label: E5
+
+        If we multiply equation :eq:`E3` by 45 and substract equation :eq:`E4` multiply by 9
+        and add equation :eq:`E5`, we get:
+
+        .. math::
+            45(f(x+h) - f(x-h)) - 9(f(x+2h) - f(x-2h)) + (f(x+3h) - f(x-3h)) =
+            90 f'(x)h - 36 f'(x)h + 6 f'(x)h + O(h^6)
+
+        .. math::
+            f'(x) = \frac{-f(x-3h) + 9f(x-2h) - 45f(x-h) + 45f(x+h) - 9f(x+2h) +f(x+3h)}{60h} + O(h^6)
+
+        ...
+
+
+        """
         stencil_halfwidth = max(min(int(stencil_halfwidth), 4), 1)
         logger.debug("Stencil half width apply : %d", stencil_halfwidth)
         # output
@@ -1739,7 +1809,7 @@ def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         :param str grid_height: grid name where the funtion will apply stencil method
         :param str uname: future name of u
         :param str vname: future name of v
-        :param int stencil_halfwidth: largest stencil could be apply
+        :param int stencil_halfwidth: largest stencil could be apply (max: 4)
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.add_uv
         """

From 3e255fb4476dcd397ef3c88e7c6ec89a67a93768 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Sat, 21 Nov 2020 22:57:09 +0100
Subject: [PATCH 176/441] little correction

---
 .../pet_center_count.py                       |  2 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |  2 +-
 .../pet_center_count.ipynb                    | 22 +++++++++++++++++--
 .../pet_pixel_used.ipynb                      | 22 +++++++++++++++++--
 .../observations/observation.py               |  1 -
 5 files changed, 42 insertions(+), 7 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 4260e3a4..b1f1a9a9 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -77,7 +77,7 @@
 mask = a.lifetime >= 60
 ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
 g_a = a.grid_count(bins, center=True, filter=mask)
-m = g_a.display(ax_long, **kwargs_pcolormesh)
+g_a.display(ax_long, **kwargs_pcolormesh)
 ax_long.set_title(f"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)")
 ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
 g_a = a.grid_count(bins, center=True, filter=~mask)
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 908f7933..58db16db 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -74,7 +74,7 @@
 mask = a.lifetime >= 60
 ax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])
 g_a = a.grid_count(bins, intern=True, filter=mask)
-m = g_a.display(ax_long, **kwargs_pcolormesh)
+g_a.display(ax_long, **kwargs_pcolormesh)
 ax_long.set_title(f"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)")
 ax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])
 g_a = a.grid_count(bins, intern=True, filter=~mask)
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 7964dc3d..f4865f2a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -44,7 +44,25 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n\n# Parameters\nt0, t1 = a.period\nstep = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (step ** 2 * (t1 - t0)), name=\"count\"\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Parameters\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=2, factor=1 / (a.nb_days * step ** 2), name=\"count\"\n)"
       ]
     },
     {
@@ -80,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 10))\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=a.lifetime >= 30)\nm = g_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(\"Anticyclones with lifetime >= 30 days\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=a.lifetime < 30)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(\"Anticyclones with lifetime < 30 days\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
+        "fig = plt.figure(figsize=(12, 10))\nmask = a.lifetime >= 60\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=mask)\ng_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(f\"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, center=True, filter=~mask)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(f\"Anticyclones with lifetime < 60 days ({(~mask).sum()} Obs)\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index d5260668..f69c2f9c 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -44,7 +44,25 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nt0, t1 = a.period\nstep = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / (t1 - t0), name=\"count\"\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Parameters\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 0.125\nbins = ((-10, 37, step), (30, 46, step))\nkwargs_pcolormesh = dict(\n    cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / a.nb_days, name=\"count\"\n)"
       ]
     },
     {
@@ -80,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 10))\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime >= 30)\nm = g_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(\"Anticyclones with lifetime >= 30 days\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=a.lifetime < 30)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(\"Anticyclones with lifetime < 30 days\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
+        "fig = plt.figure(figsize=(12, 10))\nmask = a.lifetime >= 60\nax_long = fig.add_axes([0.03, 0.53, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=mask)\ng_a.display(ax_long, **kwargs_pcolormesh)\nax_long.set_title(f\"Anticyclones with lifetime >= 60 days ({mask.sum()} Obs)\")\nax_short = fig.add_axes([0.03, 0.03, 0.90, 0.45])\ng_a = a.grid_count(bins, intern=True, filter=~mask)\nm = g_a.display(ax_short, **kwargs_pcolormesh)\nax_short.set_title(f\"Anticyclones with lifetime < 60 days ({(~mask).sum()} Obs)\")\nfor ax in (ax_short, ax_long):\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.015, 0.9]))"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index be693421..72755ace 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -11,7 +11,6 @@
 from matplotlib.cm import get_cmap
 from matplotlib.collections import PolyCollection
 from matplotlib.colors import Normalize
-from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
 from numba import njit
 from numba import types as numba_types

From cffc8f1f433e7a22b6404bfa28f4c3188662275c Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 23 Nov 2020 10:09:31 +0100
Subject: [PATCH 177/441] Add test and update to simplify function

---
 src/py_eddy_tracker/generic.py | 16 +++++++++++++---
 tests/test_generic.py          | 23 +++++++++++++++++++++++
 2 files changed, 36 insertions(+), 3 deletions(-)
 create mode 100644 tests/test_generic.py

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index f9955658..cde2e6b6 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -293,7 +293,7 @@ def flatten_line_matrix(l_matrix):
 @njit(cache=True)
 def simplify(x, y, precision=0.1):
     """
-    Will remove all middle point which are closer than precision.
+    Will remove all middle/end point which are closer than precision.
 
     :param array x:
     :param array y:
@@ -303,9 +303,19 @@ def simplify(x, y, precision=0.1):
     """
     precision2 = precision ** 2
     nb = x.shape[0]
-    x_previous, y_previous = x[0], y[0]
+    # will be True for value keep
     mask = ones(nb, dtype=bool_)
-    for i in range(1, nb):
+    for j in range(0, nb):
+        x_previous, y_previous = x[j], y[j]
+        if isnan(x_previous) or isnan(y_previous):
+            mask[j] = False
+            continue
+        break
+    # Only nan
+    if j == (nb - 1):
+        return zeros(0, dtype=x.dtype), zeros(0, dtype=x.dtype)
+
+    for i in range(j + 1, nb):
         x_, y_ = x[i], y[i]
         if isnan(x_) or isnan(y_):
             continue
diff --git a/tests/test_generic.py b/tests/test_generic.py
new file mode 100644
index 00000000..ddd64c45
--- /dev/null
+++ b/tests/test_generic.py
@@ -0,0 +1,23 @@
+from numpy import arange, nan, zeros
+
+from py_eddy_tracker.generic import simplify
+
+
+def test_simplify():
+    x = arange(10, dtype="f4")
+    y = zeros(10, dtype="f4")
+    # Will jump one value on two
+    x_, y_ = simplify(x, y, precision=1)
+    assert x_.shape[0] == 5
+    x_, y_ = simplify(x, y, precision=0.99)
+    assert x_.shape[0] == 10
+    # check nan management
+    x[4] = nan
+    x_, y_ = simplify(x, y, precision=1)
+    assert x_.shape[0] == 6
+    x[:4] = nan
+    x_, y_ = simplify(x, y, precision=1)
+    assert x_.shape[0] == 3
+    x[:] = nan
+    x_, y_ = simplify(x, y, precision=1)
+    assert x_.shape[0] == 0

From b789b6ab2d9887f923135122dbdd3620035ebc9e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 23 Nov 2020 18:53:08 +0100
Subject: [PATCH 178/441] Allow x reference to display grid

---
 CHANGELOG.md                                  |  1 +
 src/py_eddy_tracker/dataset/grid.py           | 40 ++++++++++++++++---
 .../observations/observation.py               |  2 +-
 3 files changed, 37 insertions(+), 6 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index aa117ef6..d8d3aace 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- Allow to give a x reference when we display grid to be able to change xlim
 - Add option to EddyId to select data index like `--indexs time=5 depth=2`
 - Add a method to merge several indexs type for eddy obs
 - Acces at dataset variable like attribute, and lifetime/age are available for all observations
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index f7c35cef..b15f9ec2 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -412,6 +412,20 @@ def load(self):
         self.setup_coordinates()
         self.init_pos_interpolator()
 
+    @staticmethod
+    def c_to_bounds(c):
+        """
+        Centred coordinates to bounds coordinates
+
+        :param array c: centred coordinates to translate
+        :return: bounds coordinates
+        """
+        bounds = concatenate((c, (2 * c[-1] - c[-2],)))
+        d = bounds[1:] - bounds[:-1]
+        bounds[:-1] -= d / 2
+        bounds[-1] -= d[-1] / 2
+        return bounds
+
     def setup_coordinates(self):
         x_name, y_name = self.coordinates
         if self.is_centered:
@@ -1416,7 +1430,7 @@ def convolve_filter_with_dynamic_kernel(
             demi_x, demi_y = k_shape[0] // 2, k_shape[1] // 2
             values_sum = filter2D(tmp_matrix.data, -1, kernel)[demi_x:-demi_x, demi_y]
             kernel_sum = filter2D(m.astype(float), -1, kernel)[demi_x:-demi_x, demi_y]
-            with errstate(invalid="ignore"):
+            with errstate(invalid="ignore", divide="ignore"):
                 if extend:
                     data_out[:, i] = ma.array(
                         values_sum / kernel_sum,
@@ -1871,11 +1885,12 @@ def init_speed_coef(self, uname="u", vname="v"):
         """Draft"""
         self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
 
-    def display(self, ax, name, factor=1, **kwargs):
+    def display(self, ax, name, factor=1, ref=None, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
         :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
+        :param float,None ref: if define use like west bound
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.pcolormesh`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.display
@@ -1883,19 +1898,34 @@ def display(self, ax, name, factor=1, **kwargs):
         if "cmap" not in kwargs:
             kwargs["cmap"] = "coolwarm"
         data = self.grid(name) if isinstance(name, str) else name
-        return ax.pcolormesh(self.x_bounds, self.y_bounds, data.T * factor, **kwargs)
+        if ref is None:
+            x = self.x_bounds
+        else:
+            x = (self.x_c - ref) % 360 + ref
+            i = x.argsort()
+            x = self.c_to_bounds(x[i])
+            data = data[i]
+        return ax.pcolormesh(x, self.y_bounds, data.T * factor, **kwargs)
 
-    def contour(self, ax, name, factor=1, **kwargs):
+    def contour(self, ax, name, factor=1, ref=None, **kwargs):
         """
         :param matplotlib.axes.Axes ax: matplotlib axes use to draw
         :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
+        :param float,None ref: if define use like west bound
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.contour`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.contour
         """
         data = self.grid(name) if isinstance(name, str) else name
-        return ax.contour(self.x_c, self.y_c, data.T * factor, **kwargs)
+        if ref is None:
+            x = self.x_c
+        else:
+            x = (self.x_c - ref) % 360 + ref
+            i = x.argsort()
+            x = x[i]
+            data = data[i]
+        return ax.contour(x, self.y_c, data.T * factor, **kwargs)
 
     def regrid(self, other, grid_name, new_name=None):
         """
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 72755ace..799642de 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1614,7 +1614,7 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str,array,None name:
             variable used to fill the contour, if None all elements have the same color
-        :param float,None ref: if define use like west bound ?
+        :param float,None ref: if define use like west bound
         :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
         :return: scatter mappable

From e43bf517f7502d85ab12cc6db916c17eaab25e3c Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 23 Nov 2020 18:53:29 +0100
Subject: [PATCH 179/441] Improve simplify function to remove succesive nan

---
 src/py_eddy_tracker/generic.py | 6 ++++++
 tests/test_generic.py          | 3 +++
 2 files changed, 9 insertions(+)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index cde2e6b6..ed31d9a0 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -315,10 +315,16 @@ def simplify(x, y, precision=0.1):
     if j == (nb - 1):
         return zeros(0, dtype=x.dtype), zeros(0, dtype=x.dtype)
 
+    last_nan = False
     for i in range(j + 1, nb):
         x_, y_ = x[i], y[i]
         if isnan(x_) or isnan(y_):
+            if last_nan:
+                mask[i] = False
+            else:
+                last_nan = True
             continue
+        last_nan = False
         d_x = x_ - x_previous
         if d_x > precision:
             x_previous, y_previous = x_, y_
diff --git a/tests/test_generic.py b/tests/test_generic.py
index ddd64c45..1535641b 100644
--- a/tests/test_generic.py
+++ b/tests/test_generic.py
@@ -15,6 +15,9 @@ def test_simplify():
     x[4] = nan
     x_, y_ = simplify(x, y, precision=1)
     assert x_.shape[0] == 6
+    x[3] = nan
+    x_, y_ = simplify(x, y, precision=1)
+    assert x_.shape[0] == 6
     x[:4] = nan
     x_, y_ = simplify(x, y, precision=1)
     assert x_.shape[0] == 3

From ca3044dc66afb02ff0dd52ea5dc2401c794df589 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 25 Nov 2020 09:52:14 +0100
Subject: [PATCH 180/441] Correct cumsum_by_track and add test

---
 src/py_eddy_tracker/generic.py |  3 +--
 tests/test_generic.py          | 10 ++++++++--
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index ed31d9a0..a5d5f7cc 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -169,10 +169,9 @@ def cumsum_by_track(field, track):
         tr = track[i]
         if tr != tr_previous:
             d_cum = 0
-        cumsum_array[i] = d_cum
         d_cum += field[i]
+        cumsum_array[i] = d_cum
         tr_previous = tr
-    cumsum_array[i + 1] = d_cum
     return cumsum_array
 
 
diff --git a/tests/test_generic.py b/tests/test_generic.py
index 1535641b..ab3832cc 100644
--- a/tests/test_generic.py
+++ b/tests/test_generic.py
@@ -1,6 +1,6 @@
-from numpy import arange, nan, zeros
+from numpy import arange, array, nan, ones, zeros
 
-from py_eddy_tracker.generic import simplify
+from py_eddy_tracker.generic import cumsum_by_track, simplify
 
 
 def test_simplify():
@@ -24,3 +24,9 @@ def test_simplify():
     x[:] = nan
     x_, y_ = simplify(x, y, precision=1)
     assert x_.shape[0] == 0
+
+
+def test_cumsum_by_track():
+    a = ones(10, dtype="i4") * 2
+    track = array([1, 1, 2, 2, 2, 2, 44, 44, 44, 48])
+    assert (cumsum_by_track(a, track) == [2, 4, 2, 4, 6, 8, 2, 4, 6, 2]).all()

From 5266fb7eaf71fb9c9637914ee9f019c09658c130 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 25 Nov 2020 09:58:51 +0100
Subject: [PATCH 181/441] correct track value when concatenate eddies, to don't
 duplicate number

---
 src/py_eddy_tracker/observations/tracking.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index d840284e..cb7239c6 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -287,10 +287,14 @@ def compute_index(self):
     def concatenate(cls, observations):
         eddies = super().concatenate(observations)
         last_track = 0
+        i_start = 0
         for obs in observations:
             nb_obs = len(obs)
-            eddies.track[-nb_obs:] = obs.track + last_track
-            last_track = eddies.track[-nb_obs:].max() + 1
+            sl = slice(i_start, i_start + nb_obs)
+            new_track = obs.track + last_track
+            eddies.track[sl] = new_track
+            last_track = new_track.max() + 1
+            i_start += nb_obs
         return eddies
 
     def count_by_track(self, mask):

From 159642e34c3077bcff252b38b4632f5530141e2b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 25 Nov 2020 16:05:17 +0100
Subject: [PATCH 182/441] return plot mappable

---
 src/py_eddy_tracker/observations/observation.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 799642de..5755670d 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1823,14 +1823,16 @@ def display(
         if not extern_only:
             kwargs_e.pop("label", None)
 
+        mappables = list()
         if not extern_only:
             if ref is not None:
                 lon_s, lat_s = wrap_longitude(lon_s, lat_s, ref, cut=True)
-            ax.plot(lon_s, lat_s, **kwargs)
+            mappables.append(ax.plot(lon_s, lat_s, **kwargs)[0])
         if not intern_only:
             if ref is not None:
                 lon_e, lat_e = wrap_longitude(lon_e, lat_e, ref, cut=True)
-            ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)
+            mappables.append(ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)[0])
+        return mappables
 
     def first_obs(self):
         """

From 5a9342a8abe96bd08c57c9621bce301d0b4dea90 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 27 Nov 2020 10:54:44 +0100
Subject: [PATCH 183/441] allow to manage empty dataset for flatten_lin_matrix

---
 src/py_eddy_tracker/dataset/grid.py | 12 ------------
 src/py_eddy_tracker/generic.py      |  7 +++++++
 2 files changed, 7 insertions(+), 12 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index b15f9ec2..3fd48f89 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -307,18 +307,6 @@ def __init__(
             self.load_general_features()
             self.load()
 
-    def get_slice(self, **kwargs):
-        """
-        Get slice for each axes specified
-
-        :param dict kwargs:
-        :return: A dict of slice
-        :rtype: dict[slice]
-        """
-        for k, v in kwargs.items():
-            with Dataset(self.filename) as h:
-                print(k, v)
-
     @property
     def is_centered(self):
         """Give True if pixel is described with its center's position or
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index a5d5f7cc..a1da6b46 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -278,7 +278,14 @@ def flatten_line_matrix(l_matrix):
     """
     nb_line, sampling = l_matrix.shape
     final_size = (nb_line - 1) + nb_line * sampling
+    empty_dataset = False
+    if final_size < 1:
+        empty_dataset = True
+        final_size = 1
     out = empty(final_size, dtype=l_matrix.dtype)
+    if empty_dataset:
+        out[:] = nan
+        return out
     inc = 0
     for i in range(nb_line):
         for j in range(sampling):

From d7eefe0c0cc972b38a2d7215ce9c08ac943a8a85 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 27 Nov 2020 11:18:21 +0100
Subject: [PATCH 184/441] Compute shape of a whole track

---
 src/py_eddy_tracker/observations/tracking.py | 39 +++++++++++++++++++-
 src/py_eddy_tracker/poly.py                  | 29 ++++++++++++++-
 2 files changed, 66 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index cb7239c6..22124137 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -28,7 +28,7 @@
 
 from .. import VAR_DESCR_inv
 from ..generic import build_index, cumsum_by_track, distance, split_line, wrap_longitude
-from ..poly import create_vertice_from_2darray, polygon_overlap
+from ..poly import create_vertice_from_2darray, merge, polygon_overlap
 from .observation import EddiesObservations
 
 logger = logging.getLogger("pet")
@@ -489,6 +489,43 @@ def extract_with_mask(
                 new.track = id_translate[new.track]
         return new
 
+    def shape_polygon(self, intern=False):
+        """
+        Get polygons which enclosed each track
+
+        :param bool intern: If True use speed contour instead of effective contour
+        :rtype: list(array, array)
+        """
+        xname, yname = self.intern(intern)
+        return [merge(track[xname], track[yname]) for track in self.iter_track()]
+
+    def display_shape(self, ax, ref=None, intern=False, **kwargs):
+        """
+        This function will draw shape of each track
+
+        :param matplotlib.axes.Axes ax: ax where drawed
+        :param float,int ref: if defined all coordinates will be wrapped with ref like west boundary
+        :param bool intern: If True use speed contour instead of effective contour
+        :param dict kwargs: keyword arguments for Axes.plot
+        :return: matplotlib mappable
+        """
+        if "label" in kwargs:
+            kwargs["label"] = self.format_label(kwargs["label"])
+        if len(self) == 0:
+            x, y = [], []
+        else:
+            polygons = self.shape_polygon(intern)
+            x, y = list(), list()
+            for p_ in polygons:
+                x.append((nan,))
+                y.append((nan,))
+                x.append(p_[0])
+                y.append(p_[1])
+            x, y = concatenate(x), concatenate(y)
+            if ref is not None:
+                x, y = wrap_longitude(x, y, ref, cut=True)
+        return ax.plot(x, y, **kwargs)
+
     def plot(self, ax, ref=None, **kwargs):
         """
         This function will draw path of each track
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 38fb6d51..a6fc1514 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -5,7 +5,7 @@
 
 from numba import njit, prange
 from numba import types as numba_types
-from numpy import array, concatenate, empty, ones, pi, where
+from numpy import array, concatenate, empty, nan, ones, pi, where
 from numpy.linalg import lstsq
 from Polygon import Polygon
 
@@ -379,6 +379,33 @@ def get_wrap_vertice(x0, y0, x1, y1, i):
     return create_vertice(x0_, y0[i]), create_vertice(x1_, y1[i])
 
 
+def merge(x, y):
+    """
+    Merge all polygon of the list
+
+    :param array x: 2D array for a list of polygon
+    :param array y: 2D array for a list of polygon
+    :return: Polygons which enclosed all
+    :rtype: array, array
+    """
+    nb = x.shape[0]
+    p = None
+    for i in range(nb):
+        p_ = Polygon(create_vertice(x[i], y[i]))
+        if p is None:
+            p = p_
+        else:
+            p += p_
+    x, y = list(), list()
+    for p_ in p:
+        p_ = array(p_).T
+        x.append((nan,))
+        y.append((nan,))
+        x.append(p_[0])
+        y.append(p_[1])
+    return concatenate(x), concatenate(y)
+
+
 def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     r"""
     Return percent of overlap for each item.

From ea64ae7b5f697a5ee38d4b80c28be25e8a5d008f Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 27 Nov 2020 11:25:11 +0100
Subject: [PATCH 185/441] Change label format

---
 CHANGELOG.md                                  |  6 ++++-
 .../02_eddy_identification/pet_display_id.py  |  4 ++--
 .../pet_eddy_detection.py                     |  6 +++--
 .../pet_eddy_detection_gulf_stream.py         |  6 +++--
 .../pet_filter_and_detection.py               | 12 ++++++++--
 .../pet_interp_grid_on_dataset.py             |  4 ++--
 .../02_eddy_identification/pet_sla_and_adt.py | 12 ++++++----
 .../pet_display_track.py                      |  4 ++--
 .../08_tracking_manipulation/pet_one_track.py |  2 +-
 .../pet_select_track_across_area.py           |  6 +++--
 .../pet_contour_circle.ipynb                  |  4 ++--
 .../pet_display_id.ipynb                      |  4 ++--
 .../pet_eddy_detection.ipynb                  |  4 ++--
 .../pet_eddy_detection_gulf_stream.ipynb      |  2 +-
 .../pet_filter_and_detection.ipynb            |  2 +-
 .../pet_interp_grid_on_dataset.ipynb          |  4 ++--
 .../pet_radius_vs_area.ipynb                  |  2 +-
 .../pet_shape_gallery.ipynb                   |  2 +-
 .../pet_sla_and_adt.ipynb                     |  2 +-
 .../pet_hide_pixel_out_eddies.ipynb           |  2 +-
 .../pet_okubo_weiss.ipynb                     |  2 +-
 .../pet_display_field.ipynb                   |  2 +-
 .../pet_display_track.ipynb                   |  4 ++--
 .../pet_one_track.ipynb                       |  4 ++--
 .../pet_run_a_tracking.ipynb                  |  2 +-
 .../pet_select_track_across_area.ipynb        |  2 +-
 .../pet_track_anim_matplotlib_animation.ipynb |  2 +-
 .../pet_birth_and_death.ipynb                 |  2 +-
 .../pet_geographic_stats.ipynb                |  2 +-
 .../10_tracking_diagnostics/pet_histo.ipynb   |  2 +-
 .../pet_lifetime.ipynb                        |  2 +-
 .../pet_propagation.ipynb                     |  2 +-
 .../pet_SST_collocation.ipynb                 |  2 +-
 .../observations/observation.py               | 21 ++++++++++++------
 src/py_eddy_tracker/observations/tracking.py  | 22 ++++++++++++++-----
 35 files changed, 102 insertions(+), 61 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index d8d3aace..a473dd78 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -16,7 +16,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Add method to inspect contour rejection (which are not in eddies)
 - Grid interp could be "nearest" or "bilinear" 
 ### Changed
-
+- Now to have object informations in plot label used python ```fomat``` style, several key are available : 
+    - "t0"
+    - "t1"
+    - "nb_obs"
+    - "nb_tracks" (only for tracked eddies)
 ### Removed
 
 
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index 14996024..37c2b863 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -35,8 +35,8 @@
 ax.set_aspect("equal")
 ax.set_xlim(0, 360)
 ax.set_ylim(-80, 80)
-a.display(ax, label="Anticyclonic", color="r", lw=1)
-c.display(ax, label="Cyclonic", color="b", lw=1)
+a.display(ax, label="Anticyclonic ({nb_obs} eddies)", color="r", lw=1)
+c.display(ax, label="Cyclonic ({nb_obs} eddies)", color="b", lw=1)
 ax.legend(loc="upper right")
 
 # %%
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index ce4721ca..d158e870 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -133,8 +133,10 @@ def update_axes(ax, mappable=None):
 # the maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
 ax = start_axes("Detected Eddies")
-a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
+a.display(
+    ax, color="r", linewidth=0.75, label="Anticyclonic ({nb_obs} eddies)", ref=-10
+)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic ({nb_obs} eddies)", ref=-10)
 ax.legend()
 update_axes(ax)
 
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index 091c87e9..27ea77ac 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -143,8 +143,10 @@ def update_axes(ax, mappable=None):
 # maximum mean speed. See figure 1 of https://doi.org/10.1175/JTECH-D-14-00019.1
 
 ax = start_axes("Eddies detected")
-a.display(ax, color="r", linewidth=0.75, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.75, label="Cyclonic", ref=-10)
+a.display(
+    ax, color="r", linewidth=0.75, label="Anticyclonic ({nb_obs} eddies)", ref=-10
+)
+c.display(ax, color="b", linewidth=0.75, label="Cyclonic ({nb_obs} eddies)", ref=-10)
 ax.legend()
 great_current.display(ax, color="k")
 update_axes(ax)
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index d059e3e0..2feffc3e 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -52,8 +52,16 @@ def update_axes(ax, mappable=None):
 # Display the two detections
 ax = start_axes("Eddies detected over ADT")
 m = g.display(ax, "adt", vmin=-0.15, vmax=0.15)
-merge_f.display(ax, lw=0.75, label="Eddies in the filtered grid", ref=-10, color="k")
-merge_t.display(ax, lw=0.75, label="Eddies without filter", ref=-10, color="r")
+merge_f.display(
+    ax,
+    lw=0.75,
+    label="Eddies in the filtered grid ({nb_obs} eddies)",
+    ref=-10,
+    color="k",
+)
+merge_t.display(
+    ax, lw=0.75, label="Eddies without filter ({nb_obs} eddies)", ref=-10, color="r"
+)
 ax.legend()
 update_axes(ax, m)
 
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index 52a24ee9..4d9a67aa 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -56,8 +56,8 @@ def update_axes(ax, mappable=None):
 # Get mean of eke in each effective contour
 
 ax = start_axes("EKE mean (cm²/s²)")
-a.display(ax, color="r", linewidth=0.5, label="Anticyclonic", ref=-10)
-c.display(ax, color="b", linewidth=0.5, label="Cyclonic", ref=-10)
+a.display(ax, color="r", linewidth=0.5, label="Anticyclonic ({nb_obs} eddies)", ref=-10)
+c.display(ax, color="b", linewidth=0.5, label="Cyclonic ({nb_obs} eddies)", ref=-10)
 eke = a.interp_grid(aviso_map, "eke", method="mean", intern=False)
 a.filled(ax, eke, ref=-10, **eke_kwargs)
 eke = c.interp_grid(aviso_map, "eke", method="mean", intern=False)
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index ea754732..307d8cca 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -43,10 +43,14 @@ def update_axes(ax, mappable=None):
 date = datetime(2016, 5, 15)
 
 # %%
-kwargs_a_adt = dict(lw=0.5, label="Anticyclonic ADT", ref=-10, color="k")
-kwargs_c_adt = dict(lw=0.5, label="Cyclonic ADT", ref=-10, color="r")
-kwargs_a_sla = dict(lw=0.5, label="Anticyclonic SLA", ref=-10, color="g")
-kwargs_c_sla = dict(lw=0.5, label="Cyclonic SLA", ref=-10, color="b")
+kwargs_a_adt = dict(
+    lw=0.5, label="Anticyclonic ADT ({nb_obs} eddies)", ref=-10, color="k"
+)
+kwargs_c_adt = dict(lw=0.5, label="Cyclonic ADT ({nb_obs} eddies)", ref=-10, color="r")
+kwargs_a_sla = dict(
+    lw=0.5, label="Anticyclonic SLA ({nb_obs} eddies)", ref=-10, color="g"
+)
+kwargs_c_sla = dict(lw=0.5, label="Cyclonic SLA ({nb_obs} eddies)", ref=-10, color="b")
 
 # %%
 # Run algorithm of detection
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index c73c0832..624395ac 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -36,7 +36,7 @@
 ax = fig.add_axes((0.05, 0.1, 0.9, 0.9))
 ax.set_aspect("equal")
 ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
-a.plot(ax, ref=-10, label="Anticyclonic", color="r", lw=0.1)
-c.plot(ax, ref=-10, label="Cyclonic", color="b", lw=0.1)
+a.plot(ax, ref=-10, label="Anticyclonic ({nb_tracks} tracks)", color="r", lw=0.1)
+c.plot(ax, ref=-10, label="Cyclonic ({nb_tracks} tracks)", color="b", lw=0.1)
 ax.legend()
 ax.grid()
diff --git a/examples/08_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
index 54aef3f1..710ab6cf 100644
--- a/examples/08_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -36,6 +36,6 @@
 ax.grid()
 eddy.plot(ax, color="r", lw=0.5, label="track")
 eddy.index(range(0, len(eddy), 40)).display(
-    ax, intern_only=True, label="observations every 40"
+    ax, intern_only=True, label="observations every 40 days"
 )
 ax.legend()
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index 4de5572c..bd18585d 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -29,8 +29,10 @@
 ax.set_ylim(36, 40)
 ax.set_aspect("equal")
 ax.grid()
-c.plot(ax, color="gray", lw=0.1, ref=-10, label="all tracks")
-c_subset.plot(ax, color="red", lw=0.2, ref=-10, label="selected tracks")
+c.plot(ax, color="gray", lw=0.1, ref=-10, label="All tracks ({nb_tracks} tracks)")
+c_subset.plot(
+    ax, color="red", lw=0.2, ref=-10, label="selected tracks ({nb_tracks} tracks)"
+)
 ax.plot(
     (x0, x0, x1, x1, x0),
     (y0, y1, y1, y0, y0),
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index 23c2e6a3..aab4e0f6 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+        "from matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.6"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index e68e86e0..31abe783 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+        "from matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.94, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.03, 0.03, 0.94, 0.94])\nax.set_aspect(\"equal\")\nax.set_xlim(0, 360)\nax.set_ylim(-80, 80)\na.display(ax, label=\"Anticyclonic ({nb_obs} eddies)\", color=\"r\", lw=1)\nc.display(ax, label=\"Cyclonic ({nb_obs} eddies)\", color=\"b\", lw=1)\nax.legend(loc=\"upper right\")"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 1622da6b..72604a63 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from numpy import arange\nfrom datetime import datetime\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset"
       ]
     },
     {
@@ -235,7 +235,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Detected Eddies\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"Detected Eddies\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 637e4b0d..3e7567d8 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -235,7 +235,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index cbcc2069..06d65865 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.75, label=\"Eddies in the filtered grid\", ref=-10, color=\"k\")\nmerge_t.display(ax, lw=0.75, label=\"Eddies without filter\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.75, label=\"Eddies in the filtered grid ({nb_obs} eddies)\", ref=-10, color=\"k\")\nmerge_t.display(ax, lw=0.75, label=\"Eddies without filter ({nb_obs} eddies)\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
index 47913a3f..8207f8d1 100644
--- a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data"
+        "from matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"EKE mean (cm\u00b2/s\u00b2)\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic\", ref=-10)\neke = a.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\na.filled(ax, eke, ref=-10, **eke_kwargs)\neke = c.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = c.filled(ax, eke, ref=-10, **eke_kwargs)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"EKE mean (cm\u00b2/s\u00b2)\")\na.display(ax, color=\"r\", linewidth=0.5, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.5, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\neke = a.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\na.filled(ax, eke, ref=-10, **eke_kwargs)\neke = c.interp_grid(aviso_map, \"eke\", method=\"mean\", intern=False)\nm = c.filled(ax, eke, ref=-10, **eke_kwargs)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
index 00b57049..8ab39ebc 100644
--- a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\n\nfrom py_eddy_tracker.poly import poly_area\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom numpy import pi, array"
+        "from matplotlib import pyplot as plt\nfrom numpy import array, pi\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import poly_area"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
index 33c8a46a..f367d7e2 100644
--- a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numpy import arange, radians, linspace, cos, sin\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.eddy_feature import Contours\nfrom py_eddy_tracker.generic import local_to_coordinates"
+        "from matplotlib import pyplot as plt\nfrom numpy import arange, cos, linspace, radians, sin\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.eddy_feature import Contours\nfrom py_eddy_tracker.generic import local_to_coordinates"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 6ac6d407..a7ff8efe 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -66,7 +66,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_a_adt = dict(lw=0.5, label=\"Anticyclonic ADT\", ref=-10, color=\"k\")\nkwargs_c_adt = dict(lw=0.5, label=\"Cyclonic ADT\", ref=-10, color=\"r\")\nkwargs_a_sla = dict(lw=0.5, label=\"Anticyclonic SLA\", ref=-10, color=\"g\")\nkwargs_c_sla = dict(lw=0.5, label=\"Cyclonic SLA\", ref=-10, color=\"b\")"
+        "kwargs_a_adt = dict(lw=0.5, label=\"Anticyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"k\")\nkwargs_c_adt = dict(lw=0.5, label=\"Cyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"r\")\nkwargs_a_sla = dict(lw=0.5, label=\"Anticyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"g\")\nkwargs_c_sla = dict(lw=0.5, label=\"Cyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"b\")"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index b1c2b6dd..9ef65cb5 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.poly import create_vertice\nfrom py_eddy_tracker import data"
+        "from matplotlib import pyplot as plt\nfrom matplotlib.path import Path\nfrom numpy import ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import create_vertice"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
index c9cf82fa..73abbcda 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker import data\nfrom numpy import arange, ma, where"
+        "from matplotlib import pyplot as plt\nfrom numpy import arange, ma, where\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
index 3eb6aaa5..58e4ff06 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index 15a696ae..edb20deb 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -98,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\na.plot(ax, ref=-10, label=\"Anticyclonic\", color=\"r\", lw=0.1)\nc.plot(ax, ref=-10, label=\"Cyclonic\", color=\"b\", lw=0.1)\nax.legend()\nax.grid()"
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.1, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\na.plot(ax, ref=-10, label=\"Anticyclonic ({nb_tracks} tracks)\", color=\"r\", lw=0.1)\nc.plot(ax, ref=-10, label=\"Cyclonic ({nb_tracks} tracks)\", color=\"b\", lw=0.1)\nax.legend()\nax.grid()"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index a4914723..13d5a9a3 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -73,7 +73,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5, label=\"track\")\neddy.index(range(0, len(eddy), 40)).display(\n    ax, intern_only=True, label=\"observations every 40\"\n)\nax.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(17, 23)\nax.set_ylim(34.5, 37)\nax.set_aspect(\"equal\")\nax.grid()\neddy.plot(ax, color=\"r\", lw=0.5, label=\"track\")\neddy.index(range(0, len(eddy), 40)).display(\n    ax, intern_only=True, label=\"observations every 40 days\"\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index 71162cda..3b5cc8e5 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.tracking import Correspondances\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom py_eddy_tracker.gui import GUI"
+        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom py_eddy_tracker.gui import GUI\nfrom py_eddy_tracker.tracking import Correspondances"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index ddba6afc..36b2adc1 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"all tracks\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks\")\nax.plot(\n    (x0, x0, x1, x1, x0),\n    (y0, y1, y1, y0, y0),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"All tracks ({nb_tracks} tracks)\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks ({nb_tracks} tracks)\")\nax.plot(\n    (x0, x0, x1, x1, x0),\n    (y0, y1, y1, y0, y0),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 89ae1e7f..259980a1 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.appli.gui import Anim\nimport py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange"
+        "import py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
index 09a7505d..739b907a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index cedad8b9..28bf4579 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13.5, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13.5, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index 21cf045b..c28ff02a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom numpy import arange\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 5aa8936d..40cc8e73 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nimport py_eddy_tracker_sample\nfrom numpy import arange, ones"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, ones\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index e2c76ff2..3cfb6140 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\nfrom py_eddy_tracker.generic import cumsum_by_track\nimport py_eddy_tracker_sample\nfrom numpy import arange, ones"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, ones\n\nfrom py_eddy_tracker.generic import cumsum_by_track\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
diff --git a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
index 0e53e49f..025b62d0 100644
--- a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
+++ b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom datetime import datetime\nfrom py_eddy_tracker import data\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5755670d..f5e7be6b 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1797,16 +1797,21 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
             y = y_ / y
         return x, y
 
-    def display(
-        self, ax, ref=None, extern_only=False, intern_only=False, nobs=True, **kwargs
-    ):
+    def format_label(self, label):
+        t0, t1 = self.period
+        return label.format(
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+        )
+
+    def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
 
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param float,None ref: western longitude reference used
         :param bool extern_only: if True, draw only the effective contour
         :param bool intern_only: if True, draw only the speed contour
-        :param bool nobs: if True, add the number of eddies in label
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.plot`
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.display
@@ -1817,9 +1822,11 @@ def display(
         if not intern_only:
             lon_e = flatten_line_matrix(self.contour_lon_e)
             lat_e = flatten_line_matrix(self.contour_lat_e)
-        if nobs and "label" in kwargs:
-            kwargs["label"] += " (%s observations)" % len(self)
+        if "label" in kwargs:
+            kwargs["label"] = self.format_label(kwargs["label"])
         kwargs_e = kwargs.copy()
+        if "ls" not in kwargs_e and "linestyle" not in kwargs_e:
+            kwargs_e["linestyle"] = "-."
         if not extern_only:
             kwargs_e.pop("label", None)
 
@@ -1831,7 +1838,7 @@ def display(
         if not intern_only:
             if ref is not None:
                 lon_e, lat_e = wrap_longitude(lon_e, lat_e, ref, cut=True)
-            mappables.append(ax.plot(lon_e, lat_e, linestyle="-.", **kwargs_e)[0])
+            mappables.append(ax.plot(lon_e, lat_e, **kwargs_e)[0])
         return mappables
 
     def first_obs(self):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 22124137..ce3ee693 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -11,12 +11,14 @@
     arctan2,
     array,
     bool_,
+    concatenate,
     cos,
     degrees,
     empty,
     histogram,
     interp,
     median,
+    nan,
     ones,
     radians,
     sin,
@@ -526,6 +528,15 @@ def display_shape(self, ax, ref=None, intern=False, **kwargs):
                 x, y = wrap_longitude(x, y, ref, cut=True)
         return ax.plot(x, y, **kwargs)
 
+    def format_label(self, label):
+        t0, t1 = self.period
+        return label.format(
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+            nb_tracks=(self.nb_obs_by_track != 0).sum(),
+        )
+
     def plot(self, ax, ref=None, **kwargs):
         """
         This function will draw path of each track
@@ -536,12 +547,13 @@ def plot(self, ax, ref=None, **kwargs):
         :return: matplotlib mappable
         """
         if "label" in kwargs:
-            kwargs["label"] += " (%s eddies)" % (self.nb_obs_by_track != 0).sum()
+            kwargs["label"] = self.format_label(kwargs["label"])
         if len(self) == 0:
-            return ax.plot([], [], **kwargs)
-        x, y = split_line(self.longitude, self.latitude, self.tracks)
-        if ref is not None:
-            x, y = wrap_longitude(x, y, ref, cut=True)
+            x, y = [], []
+        else:
+            x, y = split_line(self.longitude, self.latitude, self.tracks)
+            if ref is not None:
+                x, y = wrap_longitude(x, y, ref, cut=True)
         return ax.plot(x, y, **kwargs)
 
     def split_network(self, intern=True, **kwargs):

From 4fc19608c00660896f10115c70cfaaf283506e4b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 27 Nov 2020 11:28:05 +0100
Subject: [PATCH 186/441] Add method to TrackEddiesObservations: to iterate on
 track and found close track in an other atlas based on match method

---
 CHANGELOG.md                                 | 13 +------
 src/py_eddy_tracker/observations/tracking.py | 38 ++++++++++++++++++++
 2 files changed, 39 insertions(+), 12 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index a473dd78..a63d5ce9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- Add method to found close tracks in an other atlas
 - Allow to give a x reference when we display grid to be able to change xlim
 - Add option to EddyId to select data index like `--indexs time=5 depth=2`
 - Add a method to merge several indexs type for eddy obs
@@ -26,16 +27,4 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [3.2.0] - 2020-09-16
 
-### Added
-
-### Changed
-
-### Removed
-
 ## [3.1.0] - 2020-06-25
-
-### Added
-
-### Changed
-
-### Removed
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index ce3ee693..a9d4cf9c 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -70,6 +70,15 @@ def __init__(self, *args, **kwargs):
         self.__obs_by_track = None
         self.__nb_track = None
 
+    def iter_track(self):
+        """
+        Yield track
+        """
+        for i0, nb in zip(self.index_from_track, self.nb_obs_by_track):
+            if nb == 0:
+                continue
+            yield self.index(slice(i0, i0 + nb))
+
     @property
     def nb_tracks(self):
         """
@@ -491,6 +500,13 @@ def extract_with_mask(
                 new.track = id_translate[new.track]
         return new
 
+    @staticmethod
+    def re_reference_index(index, ref):
+        if isinstance(ref, slice):
+            return index + ref.start
+        else:
+            return ref[index]
+
     def shape_polygon(self, intern=False):
         """
         Get polygons which enclosed each track
@@ -528,6 +544,28 @@ def display_shape(self, ax, ref=None, intern=False, **kwargs):
                 x, y = wrap_longitude(x, y, ref, cut=True)
         return ax.plot(x, y, **kwargs)
 
+    def close_tracks(self, other, nb_obs_min=10, **kwargs):
+        """
+        Get close from another atlas.
+
+        :param self other: Atlas to compare
+        :param int nb_obs_min: Minimal number of overlap for one track
+        :param dict kwargs: keyword arguments for match function
+        :return: return other atlas reduce to common track with self
+
+        .. warning::
+            It could be a costly operation for huge dataset
+        """
+        p0, p1 = self.period
+        indexs = list()
+        for i_self, i_other, t0, t1 in self.align_on(other, bins=range(p0, p1 + 2)):
+            i, j, s = self.index(i_self).match(other.index(i_other), **kwargs)
+            indexs.append(other.re_reference_index(j, i_other))
+        indexs = concatenate(indexs)
+        tr, nb = unique(other.track[indexs], return_counts=True)
+        return other.extract_ids(tr[nb >= nb_obs_min])
+
+
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(

From 22f8818112a826878b6718d8a1a3880325f0771f Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 1 Dec 2020 09:57:14 +0100
Subject: [PATCH 187/441] Add implementation of visvalingam algorithm to
 simplify polygon

---
 CHANGELOG.md                |  1 +
 src/py_eddy_tracker/poly.py | 82 +++++++++++++++++++++++++++++++++++++
 2 files changed, 83 insertions(+)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index a63d5ce9..9a95986d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- Add an implementation of visvalingam algorithm to simplify polygons with low modification
 - Add method to found close tracks in an other atlas
 - Allow to give a x reference when we display grid to be able to change xlim
 - Add option to EddyId to select data index like `--indexs time=5 depth=2`
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index a6fc1514..a218184b 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -3,6 +3,8 @@
 Method for polygon
 """
 
+import heapq
+
 from numba import njit, prange
 from numba import types as numba_types
 from numpy import array, concatenate, empty, nan, ones, pi, where
@@ -647,3 +649,83 @@ def get_pixel_in_regular(vertices, x_c, y_c, x_start, x_stop, y_start, y_stop):
             y_start,
             vertices,
         )
+
+
+@njit(cache=True)
+def tri_area2(x, y, i0, i1, i2):
+    """Double area of triangle
+
+    :param array x:
+    :param array y:
+    :param int i0: indice of first point
+    :param int i1: indice of second point
+    :param int i2: indice of third point
+    :return: area
+    :rtype: float
+    """
+    x0, y0 = x[i0], y[i0]
+    x1, y1 = x[i1], y[i1]
+    x2, y2 = x[i2], y[i2]
+    p_area2 = (x0 - x2) * (y1 - y0) - (x0 - x1) * (y2 - y0)
+    return abs(p_area2)
+
+
+@njit(cache=True)
+def visvalingam(x, y, nb_pt=18):
+    """Polygon simplification with visvalingam algorithm
+
+    :param array x:
+    :param array y:
+    :param int nb_pt: array size of out
+    :return: New (x, y) array
+    :rtype: array,array
+    """
+    nb = x.shape[0]
+    i0, i1 = nb - 3, nb - 2
+    h = [(tri_area2(x, y, i0, i1, 0), (i0, i1, 0))]
+    i0 = i1
+    i1 = 0
+    i_previous = empty(nb - 1, dtype=numba_types.int32)
+    i_next = empty(nb - 1, dtype=numba_types.int32)
+    i_previous[0] = -1
+    i_next[0] = -1
+    for i in range(1, nb - 1):
+        i_previous[i] = -1
+        i_next[i] = -1
+        heapq.heappush(h, (tri_area2(x, y, i0, i1, i), (i0, i1, i)))
+        i0 = i1
+        i1 = i
+    # we continue until we are equal to nb_pt
+    while len(h) >= nb_pt:
+        # We pop lower area
+        _, (i0, i1, i2) = heapq.heappop(h)
+        # We check if triangle is valid(i0 or i2 not removed)
+        i_p, i_n = i_previous[i0], i_next[i2]
+        if i_p == -1 and i_n == -1:
+            # We store reference of delete point
+            i_previous[i1] = i0
+            i_next[i1] = i2
+            continue
+        elif i_p == -1:
+            i2 = i_n
+        elif i_n == -1:
+            i0 = i_p
+        else:
+            # in this case we replace two point
+            i0, i2 = i_p, i_n
+        heapq.heappush(h, (tri_area2(x, y, i0, i1, i2), (i0, i1, i2)))
+    nb_out = 0
+    for i in i_next:
+        if i == -1:
+            nb_out += 1
+    nb_out += 1
+    x_new, y_new = empty(nb_out, dtype=x.dtype), empty(nb_out, dtype=y.dtype)
+    j = 0
+    for i, i_n in enumerate(i_next):
+        if i_n == -1:
+            x_new[j] = x[i]
+            y_new[j] = y[i]
+            j += 1
+    x_new[j] = x_new[0]
+    y_new[j] = y_new[0]
+    return x_new, y_new

From d4c4d5ef41c0e33d35a25c45dcdc78db6985c255 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 1 Dec 2020 14:55:28 +0100
Subject: [PATCH 188/441] example doc

---
 examples/10_tracking_diagnostics/pet_center_count.py            | 2 ++
 examples/10_tracking_diagnostics/pet_pixel_used.py              | 2 ++
 examples/12_external_data/pet_SST_collocation.py                | 2 +-
 .../10_tracking_diagnostics/pet_center_count.ipynb              | 2 +-
 .../python_module/10_tracking_diagnostics/pet_pixel_used.ipynb  | 2 +-
 5 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index b1f1a9a9..295299cd 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -1,6 +1,8 @@
 """
 Count center
 ============
+
+Do Geo stat with center and compare with frequency method show: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 58db16db..43e59d68 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -1,6 +1,8 @@
 """
 Count pixel used
 ================
+
+Do Geo stat with frequency and compare with center count method: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
diff --git a/examples/12_external_data/pet_SST_collocation.py b/examples/12_external_data/pet_SST_collocation.py
index ebe53905..e6337754 100644
--- a/examples/12_external_data/pet_SST_collocation.py
+++ b/examples/12_external_data/pet_SST_collocation.py
@@ -1,6 +1,6 @@
 """
 Collocating external data
-==========================
+=========================
 
 Script will use py-eddy-tracker methods to upload external data (sea surface temperature, SST)
 in a common structure with altimetry.
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index f4865f2a..77e739bf 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Count center\n"
+        "\n# Count center\n\nDo Geo stat with center and compare with frequency method show: `sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index f69c2f9c..e15daf26 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Count pixel used\n"
+        "\n# Count pixel used\n\nDo Geo stat with frequency and compare with center count method: `sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`\n"
       ]
     },
     {

From d1839d897faa8e976126fd21c04ca660b9974824 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 3 Dec 2020 11:08:19 +0100
Subject: [PATCH 189/441] Modify changelog from md to rst

---
 CHANGELOG.md => CHANGELOG.rst | 29 +++++++++++++++++------------
 doc/changelog.rst             |  1 +
 doc/index.rst                 |  1 +
 3 files changed, 19 insertions(+), 12 deletions(-)
 rename CHANGELOG.md => CHANGELOG.rst (72%)
 create mode 100644 doc/changelog.rst

diff --git a/CHANGELOG.md b/CHANGELOG.rst
similarity index 72%
rename from CHANGELOG.md
rename to CHANGELOG.rst
index 9a95986d..d3f2de91 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.rst
@@ -1,31 +1,36 @@
-# Changelog
+Changelog
+=========
 
 All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
-
-### Added
+[Unreleased]
+------------
+Added
+^^^^^
 - Add an implementation of visvalingam algorithm to simplify polygons with low modification
 - Add method to found close tracks in an other atlas
 - Allow to give a x reference when we display grid to be able to change xlim
 - Add option to EddyId to select data index like `--indexs time=5 depth=2`
 - Add a method to merge several indexs type for eddy obs
-- Acces at dataset variable like attribute, and lifetime/age are available for all observations
+- Get dataset variable like attribute, and lifetime/age are available for all observations
 - Add **EddyInfos** application to get general information about eddies dataset
 - Add method to inspect contour rejection (which are not in eddies)
-- Grid interp could be "nearest" or "bilinear" 
-### Changed
-- Now to have object informations in plot label used python ```fomat``` style, several key are available : 
+- Grid interp could be "nearest" or "bilinear"
+
+Changed
+^^^^^^^
+- Now to have object informations in plot label used python ```format``` style, several key are available :
+
     - "t0"
     - "t1"
     - "nb_obs"
     - "nb_tracks" (only for tracked eddies)
-### Removed
-
 
-## [3.2.0] - 2020-09-16
+[3.2.0] - 2020-09-16
+--------------------
 
-## [3.1.0] - 2020-06-25
+[3.1.0] - 2020-06-25
+--------------------
diff --git a/doc/changelog.rst b/doc/changelog.rst
new file mode 100644
index 00000000..4d7817ae
--- /dev/null
+++ b/doc/changelog.rst
@@ -0,0 +1 @@
+.. include:: ../CHANGELOG.rst
\ No newline at end of file
diff --git a/doc/index.rst b/doc/index.rst
index 0a0dda73..36b6d8c3 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -40,6 +40,7 @@ Welcome to py-eddy-tracker's documentation!
 
    api
    Source (Git) <https://github.com/AntSimi/py-eddy-tracker>
+   changelog
 
 
 Indices and tables

From 413e7f5a7753bdd3194d70e40ff0e98a0427c486 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 3 Dec 2020 11:09:23 +0100
Subject: [PATCH 190/441] remove no needed step

---
 src/py_eddy_tracker/poly.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index a218184b..08792241 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -714,12 +714,7 @@ def visvalingam(x, y, nb_pt=18):
             # in this case we replace two point
             i0, i2 = i_p, i_n
         heapq.heappush(h, (tri_area2(x, y, i0, i1, i2), (i0, i1, i2)))
-    nb_out = 0
-    for i in i_next:
-        if i == -1:
-            nb_out += 1
-    nb_out += 1
-    x_new, y_new = empty(nb_out, dtype=x.dtype), empty(nb_out, dtype=y.dtype)
+    x_new, y_new = empty(nb_pt, dtype=x.dtype), empty(nb_pt, dtype=y.dtype)
     j = 0
     for i, i_n in enumerate(i_next):
         if i_n == -1:

From 5d037874dfab0e915ff22dcddfa8598988b44a85 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 3 Dec 2020 11:10:04 +0100
Subject: [PATCH 191/441] Remove some known warning

---
 src/py_eddy_tracker/observations/observation.py | 3 ++-
 src/py_eddy_tracker/observations/tracking.py    | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f5e7be6b..005de056 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1794,7 +1794,8 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
             y_v = self[yname] if isinstance(yname, str) else yname
             y_v = y_v[mask]
             y_, _ = histogram(v, bins=bins, weights=y_v)
-            y = y_ / y
+            with errstate(divide="ignore", invalid="ignore"):
+                y = y_ / y
         return x, y
 
     def format_label(self, label):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index a9d4cf9c..f0ad7b0e 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -28,7 +28,7 @@
 )
 from Polygon import Polygon
 
-from .. import VAR_DESCR_inv
+from .. import VAR_DESCR_inv, __version__
 from ..generic import build_index, cumsum_by_track, distance, split_line, wrap_longitude
 from ..poly import create_vertice_from_2darray, merge, polygon_overlap
 from .observation import EddiesObservations
@@ -212,6 +212,7 @@ def set_global_attr_netcdf(self, h_nc):
         h_nc.Metadata_Conventions = "Unidata Dataset Discovery v1.0"
         h_nc.comment = "Surface product; mesoscale eddies"
         h_nc.framework_used = "https://github.com/AntSimi/py-eddy-tracker"
+        h_nc.framework_version = __version__
         h_nc.standard_name_vocabulary = (
             "NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table"
         )

From 07e847c571122f6d45eee748492eae7a28208e0a Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 3 Dec 2020 11:30:26 +0100
Subject: [PATCH 192/441] Changelog update

---
 CHANGELOG.rst                                | 7 +++++--
 src/py_eddy_tracker/observations/tracking.py | 1 -
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index d3f2de91..72b204c1 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -3,11 +3,14 @@ Changelog
 
 All notable changes to this project will be documented in this file.
 
-The format is based on [Keep a Changelog](https://keepachangelog.com/en),
-and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+The format is based on `Keep a Changelog <https://keepachangelog.com/en>`_
+and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`_.
 
 [Unreleased]
 ------------
+
+[3.3.0] - 2020-12-03
+--------------------
 Added
 ^^^^^
 - Add an implementation of visvalingam algorithm to simplify polygons with low modification
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index f0ad7b0e..c67d130a 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -566,7 +566,6 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
         tr, nb = unique(other.track[indexs], return_counts=True)
         return other.extract_ids(tr[nb >= nb_obs_min])
 
-
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(

From 50bc33adb7c58514ecef2379ccdeb57428430bc7 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 4 Dec 2020 09:39:00 +0100
Subject: [PATCH 193/441] Propagate cmin value in areatracker

---
 examples/10_tracking_diagnostics/pet_center_count.py  | 3 ++-
 examples/10_tracking_diagnostics/pet_pixel_used.py    | 3 ++-
 src/py_eddy_tracker/featured_tracking/area_tracker.py | 5 +++++
 3 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 295299cd..4533b72f 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -2,7 +2,8 @@
 Count center
 ============
 
-Do Geo stat with center and compare with frequency method show: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`
+Do Geo stat with center and compare with frequency method
+show: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 43e59d68..6241bf9f 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -2,7 +2,8 @@
 Count pixel used
 ================
 
-Do Geo stat with frequency and compare with center count method: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`
+Do Geo stat with frequency and compare with center count
+method: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`
 """
 import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index 5aa8e43c..4abc0299 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -15,6 +15,11 @@ def __init__(self, *args, cmin=0.2, **kwargs):
         super().__init__(*args, **kwargs)
         self.cmin = cmin
 
+    def merge(self, *args, **kwargs):
+        eddies = super().merge(*args, **kwargs)
+        eddies.cmin = self.cmin
+        return eddies
+
     @classmethod
     def needed_variable(cls):
         vars = ["longitude", "latitude"]

From c48382758904a433a68109c163500abace0fe5b1 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 9 Dec 2020 17:38:45 +0100
Subject: [PATCH 194/441] example of visvalingam use

---
 examples/14_generic_tools/README.rst          |  3 +
 examples/14_generic_tools/pet_visvalingam.py  | 95 +++++++++++++++++++
 .../14_generic_tools/pet_visvalingam.ipynb    | 83 ++++++++++++++++
 src/py_eddy_tracker/appli/grid.py             | 15 +++
 src/py_eddy_tracker/dataset/grid.py           |  8 +-
 src/py_eddy_tracker/poly.py                   | 13 +--
 6 files changed, 209 insertions(+), 8 deletions(-)
 create mode 100644 examples/14_generic_tools/README.rst
 create mode 100644 examples/14_generic_tools/pet_visvalingam.py
 create mode 100644 notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb

diff --git a/examples/14_generic_tools/README.rst b/examples/14_generic_tools/README.rst
new file mode 100644
index 00000000..0f949ec4
--- /dev/null
+++ b/examples/14_generic_tools/README.rst
@@ -0,0 +1,3 @@
+Polygon tools
+=============
+
diff --git a/examples/14_generic_tools/pet_visvalingam.py b/examples/14_generic_tools/pet_visvalingam.py
new file mode 100644
index 00000000..6ad59c29
--- /dev/null
+++ b/examples/14_generic_tools/pet_visvalingam.py
@@ -0,0 +1,95 @@
+"""
+Visvalingam algorithm
+=====================
+"""
+import matplotlib.animation as animation
+from matplotlib import pyplot as plt
+from numba import njit
+from numpy import array, empty
+
+from py_eddy_tracker import data
+from py_eddy_tracker.generic import uniform_resample
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.poly import vertice_overlap, visvalingam
+
+
+@njit(cache=True)
+def visvalingam_polys(x, y, nb_pt):
+    nb = x.shape[0]
+    x_new = empty((nb, nb_pt), dtype=x.dtype)
+    y_new = empty((nb, nb_pt), dtype=y.dtype)
+    for i in range(nb):
+        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)
+    return x_new, y_new
+
+
+@njit(cache=True)
+def uniform_resample_polys(x, y, nb_pt):
+    nb = x.shape[0]
+    x_new = empty((nb, nb_pt), dtype=x.dtype)
+    y_new = empty((nb, nb_pt), dtype=y.dtype)
+    for i in range(nb):
+        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)
+    return x_new, y_new
+
+
+def update_line(num):
+    nb = 50 - num - 20
+    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)
+    for i, (x_, y_) in enumerate(zip(x_v, y_v)):
+        lines_v[i].set_data(x_, y_)
+    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)
+    for i, (x_, y_) in enumerate(zip(x_u, y_u)):
+        lines_u[i].set_data(x_, y_)
+    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0
+    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0
+    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):
+        texts[i].set_text(f"Score uniform {s_u:.1f} %\nScore visvalingam {s_v:.1f} %")
+    title.set_text(f"{nb} points by contour in place of 50")
+    return (title, *lines_u, *lines_v, *texts)
+
+
+# %%
+# Load detection files
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = a.extract_with_mask((abs(a.lat) < 66) * (abs(a.radius_e) > 80e3))
+
+nb_pt = 10
+x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)
+x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)
+scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0
+scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0
+d_6 = scores_v - scores_u
+nb_pt = 18
+x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)
+x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)
+scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0
+scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0
+d_12 = scores_v - scores_u
+a = a.index(array((d_6.argmin(), d_6.argmax(), d_12.argmin(), d_12.argmax())))
+
+
+# %%
+fig = plt.figure()
+axs = [
+    fig.add_subplot(221),
+    fig.add_subplot(222),
+    fig.add_subplot(223),
+    fig.add_subplot(224),
+]
+lines_u, lines_v, texts, score_text = list(), list(), list(), list()
+for i, obs in enumerate(a):
+    axs[i].set_aspect("equal")
+    axs[i].grid()
+    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])
+    axs[i].plot(
+        obs["contour_lon_e"], obs["contour_lat_e"], "r", lw=6, label="Original contour"
+    )
+    lines_v.append(axs[i].plot([], [], color="limegreen", lw=4, label="visvalingam")[0])
+    lines_u.append(
+        axs[i].plot([], [], color="black", lw=2, label="uniform resampling")[0]
+    )
+    texts.append(axs[i].set_title("", fontsize=8))
+axs[0].legend(fontsize=8)
+title = fig.suptitle("")
+ani = animation.FuncAnimation(fig, update_line, 27)
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
new file mode 100644
index 00000000..aee1f340
--- /dev/null
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -0,0 +1,83 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Visvalingam algorithm\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\na = a.extract_with_mask((abs(a.lat) < 66) * (abs(a.radius_e) > 80e3))\n\nnb_pt = 10\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_6 = scores_v - scores_u\nnb_pt = 18\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_12 = scores_v - scores_u\na = a.index(array((d_6.argmin(), d_6.argmax(), d_12.argmin(), d_12.argmax())))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\naxs = [\n    fig.add_subplot(221),\n    fig.add_subplot(222),\n    fig.add_subplot(223),\n    fig.add_subplot(224),\n]\nlines_u, lines_v, texts, score_text = list(), list(), list(), list()\nfor i, obs in enumerate(a):\n    axs[i].set_aspect(\"equal\")\n    axs[i].grid()\n    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])\n    axs[i].plot(\n        obs[\"contour_lon_e\"], obs[\"contour_lat_e\"], \"r\", lw=6, label=\"Original contour\"\n    )\n    lines_v.append(axs[i].plot([], [], color=\"limegreen\", lw=4, label=\"visvalingam\")[0])\n    lines_u.append(\n        axs[i].plot([], [], color=\"black\", lw=2, label=\"uniform resampling\")[0]\n    )\n    texts.append(axs[i].set_title(\"\", fontsize=8))\naxs[0].legend(fontsize=8)\ntitle = fig.suptitle(\"\")\nani = animation.FuncAnimation(fig, update_line, 27)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 39456643..f5fadf9c 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -79,6 +79,19 @@ def eddy_id(args=None):
     parser.add_argument("--height_unit", default=None, help="Force height unit")
     parser.add_argument("--speed_unit", default=None, help="Force speed unit")
     parser.add_argument("--unregular", action="store_true", help="if grid is unregular")
+    parser.add_argument(
+        "--sampling",
+        default=50,
+        type=int,
+        help="Array size used to build contour, first and last point will be the same",
+    )
+    parser.add_argument(
+        "--sampling_method",
+        default="visvalingam",
+        type=str,
+        choices=("visvalingam", "uniform"),
+        help="Method to resample contour",
+    )
     help = "Output will be wrote in zarr"
     parser.add_argument("--zarr", action="store_true", help=help)
     help = "Indexs to select grid : --indexs time=2, will select third step along time dimensions"
@@ -109,6 +122,8 @@ def eddy_id(args=None):
         cut_wavelength=args.cut_wavelength,
         filter_order=args.filter_order,
         indexs=args.indexs,
+        sampling=args.sampling,
+        sampling_method=args.sampling_method,
         **kwargs,
     )
     out_name = date.strftime("%(path)s/%(sign_type)s_%Y%m%d.nc")
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 3fd48f89..52f8201c 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -68,6 +68,7 @@
     get_pixel_in_regular,
     poly_area,
     poly_contain_poly,
+    visvalingam,
     winding_number_poly,
 )
 
@@ -602,6 +603,7 @@ def eddy_identification(
         step=0.005,
         shape_error=55,
         sampling=50,
+        sampling_method="visvalingam",
         pixel_limit=None,
         precision=None,
         force_height_unit=None,
@@ -618,6 +620,7 @@ def eddy_identification(
         :param float,int step: Height between two layers in m
         :param float,int shape_error: Maximal error allowed for outter contour in %
         :param int sampling: Number of points to store contours and speed profile
+        :param str sampling_method: Method to resample 'uniform' or 'visvalingam'
         :param (int,int),None pixel_limit:
             Min and max number of pixels inside the inner and the outer contour to be considered as an eddy
         :param float,None precision: Truncate values at the defined precision in m
@@ -693,6 +696,7 @@ def eddy_identification(
         self.contours = Contours(x, y, data, levels, wrap_x=self.is_circular())
 
         out_sampling = dict(fixed_size=sampling)
+        resample = visvalingam if sampling_method == "visvalingam" else uniform_resample
         track_extra_variables = [
             "height_max_speed_contour",
             "height_external_contour",
@@ -832,10 +836,10 @@ def eddy_identification(
                     obs.amplitude[:] = amp.amplitude
                     obs.speed_average[:] = max_average_speed
                     obs.num_point_e[:] = contour.lon.shape[0]
-                    xy_e = uniform_resample(contour.lon, contour.lat, **out_sampling)
+                    xy_e = resample(contour.lon, contour.lat, **out_sampling)
                     obs.contour_lon_e[:], obs.contour_lat_e[:] = xy_e
                     obs.num_point_s[:] = speed_contour.lon.shape[0]
-                    xy_s = uniform_resample(
+                    xy_s = resample(
                         speed_contour.lon, speed_contour.lat, **out_sampling
                     )
                     obs.contour_lon_s[:], obs.contour_lat_s[:] = xy_s
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 08792241..eb601dca 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -671,12 +671,12 @@ def tri_area2(x, y, i0, i1, i2):
 
 
 @njit(cache=True)
-def visvalingam(x, y, nb_pt=18):
+def visvalingam(x, y, fixed_size=18):
     """Polygon simplification with visvalingam algorithm
 
     :param array x:
     :param array y:
-    :param int nb_pt: array size of out
+    :param int fixed_size: array size of out
     :return: New (x, y) array
     :rtype: array,array
     """
@@ -696,7 +696,7 @@ def visvalingam(x, y, nb_pt=18):
         i0 = i1
         i1 = i
     # we continue until we are equal to nb_pt
-    while len(h) >= nb_pt:
+    while len(h) >= fixed_size:
         # We pop lower area
         _, (i0, i1, i2) = heapq.heappop(h)
         # We check if triangle is valid(i0 or i2 not removed)
@@ -714,13 +714,14 @@ def visvalingam(x, y, nb_pt=18):
             # in this case we replace two point
             i0, i2 = i_p, i_n
         heapq.heappush(h, (tri_area2(x, y, i0, i1, i2), (i0, i1, i2)))
-    x_new, y_new = empty(nb_pt, dtype=x.dtype), empty(nb_pt, dtype=y.dtype)
+    x_new, y_new = empty(fixed_size, dtype=x.dtype), empty(fixed_size, dtype=y.dtype)
     j = 0
     for i, i_n in enumerate(i_next):
         if i_n == -1:
             x_new[j] = x[i]
             y_new[j] = y[i]
             j += 1
-    x_new[j] = x_new[0]
-    y_new[j] = y_new[0]
+    # we copy first value to fill array end
+    x_new[j:] = x_new[0]
+    y_new[j:] = y_new[0]
     return x_new, y_new

From 3ae57d393e24228962f4db76a840c465e0e71b4b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 9 Dec 2020 18:29:20 +0100
Subject: [PATCH 195/441] Try to have working animation example

---
 doc/conf.py                                                   | 2 +-
 examples/14_generic_tools/pet_visvalingam.py                  | 3 +++
 .../python_module/14_generic_tools/pet_visvalingam.ipynb      | 4 ++--
 3 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index add04862..12c732f8 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -54,7 +54,7 @@
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "python_module",
-    "capture_repr": ("_repr_html_",),
+    "capture_repr": ("_repr_html_", "__repr__"),
     "backreferences_dir": "gen_modules/backreferences",
     "doc_module": ("py_eddy_tracker",),
     "reference_url": {
diff --git a/examples/14_generic_tools/pet_visvalingam.py b/examples/14_generic_tools/pet_visvalingam.py
index 6ad59c29..1e969ddd 100644
--- a/examples/14_generic_tools/pet_visvalingam.py
+++ b/examples/14_generic_tools/pet_visvalingam.py
@@ -4,6 +4,7 @@
 """
 import matplotlib.animation as animation
 from matplotlib import pyplot as plt
+from matplotlib import rc
 from numba import njit
 from numpy import array, empty
 
@@ -12,6 +13,8 @@
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.poly import vertice_overlap, visvalingam
 
+rc("animation", html="jshtml")
+
 
 @njit(cache=True)
 def visvalingam_polys(x, y, nb_pt):
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
index aee1f340..f27ba8c3 100644
--- a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
+        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt, rc\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\nrc('animation', html='jshtml')\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\naxs = [\n    fig.add_subplot(221),\n    fig.add_subplot(222),\n    fig.add_subplot(223),\n    fig.add_subplot(224),\n]\nlines_u, lines_v, texts, score_text = list(), list(), list(), list()\nfor i, obs in enumerate(a):\n    axs[i].set_aspect(\"equal\")\n    axs[i].grid()\n    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])\n    axs[i].plot(\n        obs[\"contour_lon_e\"], obs[\"contour_lat_e\"], \"r\", lw=6, label=\"Original contour\"\n    )\n    lines_v.append(axs[i].plot([], [], color=\"limegreen\", lw=4, label=\"visvalingam\")[0])\n    lines_u.append(\n        axs[i].plot([], [], color=\"black\", lw=2, label=\"uniform resampling\")[0]\n    )\n    texts.append(axs[i].set_title(\"\", fontsize=8))\naxs[0].legend(fontsize=8)\ntitle = fig.suptitle(\"\")\nani = animation.FuncAnimation(fig, update_line, 27)"
+        "fig = plt.figure()\naxs = [\n    fig.add_subplot(221),\n    fig.add_subplot(222),\n    fig.add_subplot(223),\n    fig.add_subplot(224),\n]\nlines_u, lines_v, texts, score_text = list(), list(), list(), list()\nfor i, obs in enumerate(a):\n    axs[i].set_aspect(\"equal\")\n    axs[i].grid()\n    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])\n    axs[i].plot(\n        obs[\"contour_lon_e\"], obs[\"contour_lat_e\"], \"r\", lw=6, label=\"Original contour\"\n    )\n    lines_v.append(axs[i].plot([], [], color=\"limegreen\", lw=4, label=\"visvalingam\")[0])\n    lines_u.append(\n        axs[i].plot([], [], color=\"black\", lw=2, label=\"uniform resampling\")[0]\n    )\n    texts.append(axs[i].set_title(\"\", fontsize=8))\naxs[0].legend(fontsize=8)\ntitle = fig.suptitle(\"\")\nani = animation.FuncAnimation(fig, update_line, 27)\n\n# ani"
       ]
     }
   ],

From 40ce202feefa349b65aac0d2d5fe56fad1fc7f82 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 9 Dec 2020 19:02:14 +0100
Subject: [PATCH 196/441] second anim test

---
 examples/14_generic_tools/pet_visvalingam.py                | 6 ++----
 .../python_module/14_generic_tools/pet_visvalingam.ipynb    | 4 ++--
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/examples/14_generic_tools/pet_visvalingam.py b/examples/14_generic_tools/pet_visvalingam.py
index 1e969ddd..b946a9db 100644
--- a/examples/14_generic_tools/pet_visvalingam.py
+++ b/examples/14_generic_tools/pet_visvalingam.py
@@ -4,7 +4,6 @@
 """
 import matplotlib.animation as animation
 from matplotlib import pyplot as plt
-from matplotlib import rc
 from numba import njit
 from numpy import array, empty
 
@@ -13,8 +12,6 @@
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.poly import vertice_overlap, visvalingam
 
-rc("animation", html="jshtml")
-
 
 @njit(cache=True)
 def visvalingam_polys(x, y, nb_pt):
@@ -95,4 +92,5 @@ def update_line(num):
     texts.append(axs[i].set_title("", fontsize=8))
 axs[0].legend(fontsize=8)
 title = fig.suptitle("")
-ani = animation.FuncAnimation(fig, update_line, 27)
+anim = animation.FuncAnimation(fig, update_line, 27)
+anim
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
index f27ba8c3..20215604 100644
--- a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt, rc\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\nrc('animation', html='jshtml')\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
+        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt\nfrom matplotlib import rc\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\naxs = [\n    fig.add_subplot(221),\n    fig.add_subplot(222),\n    fig.add_subplot(223),\n    fig.add_subplot(224),\n]\nlines_u, lines_v, texts, score_text = list(), list(), list(), list()\nfor i, obs in enumerate(a):\n    axs[i].set_aspect(\"equal\")\n    axs[i].grid()\n    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])\n    axs[i].plot(\n        obs[\"contour_lon_e\"], obs[\"contour_lat_e\"], \"r\", lw=6, label=\"Original contour\"\n    )\n    lines_v.append(axs[i].plot([], [], color=\"limegreen\", lw=4, label=\"visvalingam\")[0])\n    lines_u.append(\n        axs[i].plot([], [], color=\"black\", lw=2, label=\"uniform resampling\")[0]\n    )\n    texts.append(axs[i].set_title(\"\", fontsize=8))\naxs[0].legend(fontsize=8)\ntitle = fig.suptitle(\"\")\nani = animation.FuncAnimation(fig, update_line, 27)\n\n# ani"
+        "fig = plt.figure()\naxs = [\n    fig.add_subplot(221),\n    fig.add_subplot(222),\n    fig.add_subplot(223),\n    fig.add_subplot(224),\n]\nlines_u, lines_v, texts, score_text = list(), list(), list(), list()\nfor i, obs in enumerate(a):\n    axs[i].set_aspect(\"equal\")\n    axs[i].grid()\n    axs[i].set_xticklabels([]), axs[i].set_yticklabels([])\n    axs[i].plot(\n        obs[\"contour_lon_e\"], obs[\"contour_lat_e\"], \"r\", lw=6, label=\"Original contour\"\n    )\n    lines_v.append(axs[i].plot([], [], color=\"limegreen\", lw=4, label=\"visvalingam\")[0])\n    lines_u.append(\n        axs[i].plot([], [], color=\"black\", lw=2, label=\"uniform resampling\")[0]\n    )\n    texts.append(axs[i].set_title(\"\", fontsize=8))\naxs[0].legend(fontsize=8)\ntitle = fig.suptitle(\"\")\nanim = animation.FuncAnimation(fig, update_line, 27)\nanim"
       ]
     }
   ],

From eaef32b0427805c8369f7cc7aea9c52284dd849b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 11 Dec 2020 13:55:43 +0100
Subject: [PATCH 197/441] add method to check if variable is an array or field
 name

---
 .../observations/observation.py               | 31 +++++++++++--------
 1 file changed, 18 insertions(+), 13 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 005de056..23d6bf55 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -4,6 +4,7 @@
 """
 import logging
 from datetime import datetime
+from io import BufferedReader
 from tarfile import ExFileObject
 from tokenize import TokenError
 
@@ -200,11 +201,14 @@ def _repr_html_(self):
         infos = self.get_infos()
         return f"""<b>{infos['nb_obs']} observations from {infos['t0']} to {infos['t1']} </b>"""
 
+    def parse_varname(self, name):
+        return self[name] if isinstance(name, str) else name
+
     def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
         """Build histograms.
 
-        :param str varname: variable to use to compute stat
-        :param str x: variable to use to know in which bins
+        :param str,array varname: variable to use to compute stat
+        :param str,array x: variable to use to know in which bins
         :param array bins:
         :param bool percent: normalize by sum of all bins
         :param bool mean: compute mean by bins
@@ -212,14 +216,15 @@ def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
         :return: value by bins
         :rtype: array
         """
+        x = self.parse_varname(x)
         if nb:
-            v = hist_numba(self[x], bins=bins)[0]
+            v = hist_numba(x, bins=bins)[0]
         else:
-            v = histogram(self[x], bins=bins, weights=self[varname])[0]
+            v = histogram(x, bins=bins, weights=self.parse_varname(varname))[0]
         if percent:
             v = v.astype("f4") / v.sum() * 100
         elif mean:
-            v /= hist_numba(self[x], bins=bins)[0]
+            v /= hist_numba(x, bins=bins)[0]
         return v
 
     @staticmethod
@@ -777,7 +782,7 @@ def load_from_netcdf(
         array_dim = "NbSample"
         if isinstance(filename, bytes):
             filename = filename.astype(str)
-        if isinstance(filename, ExFileObject):
+        if isinstance(filename, (ExFileObject, BufferedReader)):
             filename.seek(0)
             args, kwargs = ("in-mem-file",), dict(memory=filename.read())
         else:
@@ -1626,7 +1631,7 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
             x = (x - ref) % 360 + ref
         kwargs = kwargs.copy()
         if name is not None and "c" not in kwargs:
-            v = self[name] if isinstance(name, str) else name
+            v = self.parse_varname(name)
             kwargs["c"] = v * factor
         return ax.scatter(x, self.latitude, **kwargs)
 
@@ -1671,7 +1676,7 @@ def filled(
         if "facecolors" not in kwargs:
             kwargs = kwargs.copy()
             cmap = get_cmap(cmap, lut)
-            v = (self[varname] if isinstance(varname, str) else varname) * factor
+            v = self.parse_varname(varname) * factor
             if vmin is None:
                 vmin = v.min()
             if vmax is None:
@@ -1783,7 +1788,7 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.bins_stat
         """
-        v = self[xname] if isinstance(xname, str) else xname
+        v = self.parse_varname(xname)
         mask = self.merge_filters(mask)
         v = v[mask]
         if bins is None:
@@ -1791,7 +1796,7 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
         y, x = hist_numba(v, bins=bins)
         x = (x[1:] + x[:-1]) / 2
         if method == "mean":
-            y_v = self[yname] if isinstance(yname, str) else yname
+            y_v = self.parse_varname(yname)
             y_v = y_v[mask]
             y_, _ = histogram(v, bins=bins, weights=y_v)
             with errstate(divide="ignore", invalid="ignore"):
@@ -1948,10 +1953,10 @@ def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
 
     def grid_box_stat(self, bins, varname, method=50, data=None, filter=slice(None)):
         """
-        Compute mean of eddies in each bin
+        Get percentile of eddies in each bin
 
         :param (numpy.array,numpy.array) bins: bins (grid) to count
-        :param str varname: variable to apply the method
+        :param str varname: variable to apply the method if data is None and will be output name
         :param str,float method: method to apply. If float, use ?
         :param array data: Array used to compute stat if defined
         :param array,mask,slice filter: keep the data selected with the filter
@@ -1999,7 +2004,7 @@ def grid_stat(self, bins, varname, data=None):
         Return the mean of the eddies' variable in each bin
 
         :param (numpy.array,numpy.array) bins: bins (grid) to compute the mean on
-        :param str varname: name of variable to compute the mean on
+        :param str varname: name of variable to compute the mean on and output grid_name
         :param array data: Array used to compute stat if defined
         :return: return the gridde mean variable
         :rtype: py_eddy_tracker.dataset.grid.RegularGridDataset

From a91a226b3d570342784d5e40a46310c0a91d3629 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 4 Jan 2021 13:28:36 +0100
Subject: [PATCH 198/441] - Add option to load netcdf in memory before to be
 open - Use of safe_load for yaml - replace some numpy operation by numba
 equivalent

---
 .../pet_eddy_detection.py                     |   2 +-
 .../pet_eddy_detection.ipynb                  |   2 +-
 setup.py                                      |   2 +-
 src/py_eddy_tracker/__init__.py               |   7 +
 src/py_eddy_tracker/appli/eddies.py           | 254 +++++++++++++++-
 src/py_eddy_tracker/appli/network.py          |   9 +-
 .../featured_tracking/area_tracker.py         |  20 +-
 src/py_eddy_tracker/generic.py                |   2 +-
 src/py_eddy_tracker/observations/network.py   |  97 +++++--
 .../observations/observation.py               |  65 ++++-
 src/py_eddy_tracker/poly.py                   |   2 +-
 src/py_eddy_tracker/tracking.py               |  61 ++--
 src/scripts/EddyTracking                      | 274 ------------------
 13 files changed, 429 insertions(+), 368 deletions(-)
 delete mode 100644 src/scripts/EddyTracking

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index d158e870..522ad4a0 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -91,7 +91,7 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
-# Creteria for rejecting a contour
+# Criteria for rejecting a contour
 # 0. - Accepted (green)
 # 1. - Rejection for shape error (red)
 # 2. - Masked value within contour (blue)
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 72604a63..ee17f905 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -235,7 +235,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Detected Eddies\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\nupdate_axes(ax)"
+        "ax = start_axes(\"Detected Eddies\")\na.display(\n    ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10\n)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\nupdate_axes(ax)"
       ]
     },
     {
diff --git a/setup.py b/setup.py
index d3f5d1bd..366ab160 100644
--- a/setup.py
+++ b/setup.py
@@ -28,7 +28,6 @@
     scripts=[
         "src/scripts/EddySubSetter",
         "src/scripts/EddyTranslate",
-        "src/scripts/EddyTracking",
         "src/scripts/EddyFinalTracking",
         "src/scripts/EddyMergeCorrespondances",
     ],
@@ -43,6 +42,7 @@
             "EddyFrequency = py_eddy_tracker.appli.eddies:get_frequency_grid",
             "EddyInfos = py_eddy_tracker.appli.eddies:display_infos",
             "EddyCircle = py_eddy_tracker.appli.eddies:eddies_add_circle",
+            "EddyTracking = py_eddy_tracker.appli.eddies:eddies_tracking",
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 9be2d280..1fa57c7e 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -85,6 +85,13 @@ def add_base_argument(self):
             help="Levels : DEBUG, INFO, WARNING," " ERROR, CRITICAL",
         )
 
+    def memory_arg(self):
+        self.add_argument(
+            "--memory",
+            action="store_true",
+            help="Load file in memory before to read with netCDF library",
+        )
+
     def parse_args(self, *args, **kwargs):
         logger = start_logger()
         # Parsing
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index f59eab90..2f78510f 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -3,12 +3,24 @@
 Applications on detection and tracking files
 """
 import argparse
+import logging
+from datetime import datetime
+from glob import glob
+from os import mkdir
+from os.path import basename, dirname, exists
+from os.path import join as join_path
+from re import compile as re_compile
 
 from netCDF4 import Dataset
+from numpy import bytes_, empty, unique
+from yaml import safe_load
 
 from .. import EddyParser
 from ..observations.observation import EddiesObservations
 from ..observations.tracking import TrackEddiesObservations
+from ..tracking import Correspondances
+
+logger = logging.getLogger("pet")
 
 
 def eddies_add_circle():
@@ -41,24 +53,22 @@ def merge_eddies():
     parser.add_argument(
         "--include_var", nargs="+", type=str, help="use only listed variable"
     )
+    parser.memory_arg()
     args = parser.parse_args()
 
     if args.include_var is None:
         with Dataset(args.filename[0]) as h:
             args.include_var = h.variables.keys()
 
-    obs = TrackEddiesObservations.load_file(
-        args.filename[0], raw_data=True, include_vars=args.include_var
-    )
-    if args.add_rotation_variable:
-        obs = obs.add_rotation_type()
-    for filename in args.filename[1:]:
-        other = TrackEddiesObservations.load_file(
+    obs = list()
+    for filename in args.filename:
+        e = TrackEddiesObservations.load_file(
             filename, raw_data=True, include_vars=args.include_var
         )
         if args.add_rotation_variable:
-            other = other.add_rotation_type()
-        obs = obs.merge(other)
+            e = e.add_rotation_type()
+        obs.append(e)
+    obs = TrackEddiesObservations.concatenate(obs)
     obs.write_file(filename=args.out)
 
 
@@ -141,3 +151,229 @@ def display_infos():
             )
             e = e.extract_with_area(area)
         print(e)
+
+
+def eddies_tracking():
+    parser = EddyParser("Tool to use identification step to compute tracking")
+    parser.add_argument("yaml_file", help="Yaml file to configure py-eddy-tracker")
+    parser.add_argument("--correspondance_in", help="Filename of saved correspondance")
+    parser.add_argument("--correspondance_out", help="Filename to save correspondance")
+    parser.add_argument(
+        "--save_correspondance_and_stop",
+        action="store_true",
+        help="Stop tracking after correspondance computation,"
+        " merging can be done with EddyFinalTracking",
+    )
+    parser.add_argument(
+        "--zarr", action="store_true", help="Output will be wrote in zarr"
+    )
+    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
+    parser.add_argument(
+        "--blank_period",
+        type=int,
+        default=0,
+        help="Nb of detection which will not use at the end of the period",
+    )
+    parser.memory_arg()
+    args = parser.parse_args()
+
+    # Read yaml configuration file
+    with open(args.yaml_file, "r") as stream:
+        config = safe_load(stream)
+
+    if "CLASS" in config:
+        classname = config["CLASS"]["CLASS"]
+        obs_class = dict(
+            class_method=getattr(
+                __import__(config["CLASS"]["MODULE"], globals(), locals(), classname),
+                classname,
+            ),
+            class_kw=config["CLASS"].get("OPTIONS", dict()),
+        )
+    else:
+        obs_class = dict()
+
+    c_in, c_out = args.correspondance_in, args.correspondance_out
+    if c_in is None:
+        c_in = config["PATHS"].get("CORRESPONDANCES_IN", None)
+    y_c_out = config["PATHS"].get(
+        "CORRESPONDANCES_OUT", "{path}/{sign_type}_correspondances.nc"
+    )
+    if c_out is None:
+        c_out = y_c_out
+
+    # Create ouput folder if necessary
+    save_dir = config["PATHS"].get("SAVE_DIR", None)
+    if save_dir is not None and not exists(save_dir):
+        mkdir(save_dir)
+
+    track(
+        pattern=config["PATHS"]["FILES_PATTERN"],
+        output_dir=save_dir,
+        c_out=c_out,
+        **obs_class,
+        virtual=int(config.get("VIRTUAL_LENGTH_MAX", 0)),
+        previous_correspondance=c_in,
+        memory=args.memory,
+        correspondances_only=args.save_correspondance_and_stop,
+        raw=not args.unraw,
+        zarr=args.zarr,
+        nb_obs_min=int(config.get("TRACK_DURATION_MIN", 10)),
+        blank_period=args.blank_period,
+    )
+
+
+def browse_dataset_in(
+    data_dir,
+    files_model,
+    date_regexp,
+    date_model,
+    start_date=None,
+    end_date=None,
+    sub_sampling_step=1,
+    files=None,
+):
+    pattern_regexp = re_compile(".*/" + date_regexp)
+    if files is not None:
+        filenames = bytes_(files)
+    else:
+        full_path = join_path(data_dir, files_model)
+        logger.info("Search files : %s", full_path)
+        filenames = bytes_(glob(full_path))
+
+    dataset_list = empty(
+        len(filenames),
+        dtype=[
+            ("filename", "S500"),
+            ("date", "datetime64[D]"),
+        ],
+    )
+    dataset_list["filename"] = filenames
+
+    logger.info("%s grids available", dataset_list.shape[0])
+    mode_attrs = False
+    if "(" not in date_regexp:
+        logger.debug("Attrs date : %s", date_regexp)
+        mode_attrs = date_regexp.strip().split(":")
+    else:
+        logger.debug("Pattern date : %s", date_regexp)
+
+    for item in dataset_list:
+        str_date = None
+        if mode_attrs:
+            with Dataset(item["filename"].decode("utf-8")) as h:
+                if len(mode_attrs) == 1:
+                    str_date = getattr(h, mode_attrs[0])
+                else:
+                    str_date = getattr(h.variables[mode_attrs[0]], mode_attrs[1])
+        else:
+            result = pattern_regexp.match(str(item["filename"]))
+            if result:
+                str_date = result.groups()[0]
+
+        if str_date is not None:
+            item["date"] = datetime.strptime(str_date, date_model).date()
+
+    dataset_list.sort(order=["date", "filename"])
+
+    steps = unique(dataset_list["date"][1:] - dataset_list["date"][:-1])
+    if len(steps) > 1:
+        raise Exception("Several days steps in grid dataset %s" % steps)
+
+    if sub_sampling_step != 1:
+        logger.info("Grid subsampling %d", sub_sampling_step)
+        dataset_list = dataset_list[::sub_sampling_step]
+
+    if start_date is not None or end_date is not None:
+        logger.info(
+            "Available grid from %s to %s",
+            dataset_list[0]["date"],
+            dataset_list[-1]["date"],
+        )
+        logger.info("Filtering grid by time %s, %s", start_date, end_date)
+        mask = (dataset_list["date"] >= start_date) * (dataset_list["date"] <= end_date)
+
+        dataset_list = dataset_list[mask]
+    return dataset_list
+
+
+def track(
+    pattern,
+    output_dir,
+    c_out,
+    nb_obs_min=10,
+    raw=True,
+    zarr=False,
+    blank_period=0,
+    correspondances_only=False,
+    **kw_c,
+):
+    kw = dict(date_regexp=".*_([0-9]*?).[nz].*", date_model="%Y%m%d")
+    if isinstance(pattern, list):
+        kw.update(dict(data_dir=None, files_model=None, files=pattern))
+    else:
+        kw.update(dict(data_dir=dirname(pattern), files_model=basename(pattern)))
+    datasets = browse_dataset_in(**kw)
+    if blank_period > 0:
+        datasets = datasets[:-blank_period]
+        logger.info("Last %d files will be pop", blank_period)
+
+    if nb_obs_min > len(datasets):
+        raise Exception(
+            "Input file number (%s) is shorter than TRACK_DURATION_MIN (%s)."
+            % (len(datasets), nb_obs_min)
+        )
+
+    c = Correspondances(datasets=datasets["filename"], **kw_c)
+    c.track()
+    logger.info("Track finish")
+    t0, t1 = c.period
+    kw_save = dict(
+        date_start=t0,
+        date_stop=t1,
+        date_prod=datetime.now(),
+        path=output_dir,
+        sign_type=c.current_obs.sign_legend,
+    )
+
+    c.save(c_out, kw_save)
+    if correspondances_only:
+        return
+
+    logger.info("Start merging")
+    c.prepare_merging()
+    logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
+    logger.info(
+        "The mean length is %d observations for all tracks", c.nb_obs_by_tracks.mean()
+    )
+
+    kw_write = dict(path=output_dir, zarr_flag=zarr)
+
+    c.get_unused_data(raw_data=raw).write_file(
+        filename="%(path)s/%(sign_type)s_untracked.nc", **kw_write
+    )
+
+    short_c = c._copy()
+    short_c.shorter_than(size_max=nb_obs_min)
+    c.longer_than(size_min=nb_obs_min)
+
+    long_track = c.merge(raw_data=raw)
+    short_track = short_c.merge(raw_data=raw)
+
+    # We flag obs
+    if c.virtual:
+        long_track["virtual"][:] = long_track["time"] == 0
+        long_track.filled_by_interpolation(long_track["virtual"] == 1)
+        short_track["virtual"][:] = short_track["time"] == 0
+        short_track.filled_by_interpolation(short_track["virtual"] == 1)
+
+    logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
+    logger.info(
+        "The mean length is %d observations for long track",
+        c.nb_obs_by_tracks.mean(),
+    )
+
+    long_track.write_file(**kw_write)
+    short_track.write_file(
+        filename="%(path)s/%(sign_type)s_track_too_short.nc", **kw_write
+    )
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index c92f1d3d..dfdf6fbb 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -32,9 +32,16 @@ def build_network():
         action="store_true",
         help="Use intern contour instead of outter contour",
     )
+
+    parser.memory_arg()
     args = parser.parse_args()
 
-    n = Network(args.identification_regex, window=args.window, intern=args.intern)
+    n = Network(
+        args.identification_regex,
+        window=args.window,
+        intern=args.intern,
+        memory=args.memory,
+    )
     group = n.group_observations(minimal_area=True)
     n.build_dataset(group).write_file(filename=args.out)
 
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index 4abc0299..1b8a2dbb 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -1,6 +1,7 @@
 import logging
 
-from numpy import ma
+from numba import njit
+from numpy import empty, ma, ones
 
 from ..observations.observation import EddiesObservations as Model
 
@@ -29,11 +30,8 @@ def needed_variable(cls):
     def tracking(self, other):
         shape = (self.shape[0], other.shape[0])
         i, j, c = self.match(other, intern=False)
-        cost_mat = ma.empty(shape, dtype="f4")
-        cost_mat.mask = ma.ones(shape, dtype="bool")
-        m = c > self.cmin
-        i, j, c = i[m], j[m], c[m]
-        cost_mat[i, j] = 1 - c
+        cost_mat = ma.array(empty(shape, dtype="f4"), mask=ones(shape, dtype="bool"))
+        mask_cmin(i, j, c, self.cmin, cost_mat.data, cost_mat.mask)
 
         i_self, i_other = self.solve_function(cost_mat)
         i_self, i_other = self.post_process_link(other, i_self, i_other)
@@ -55,3 +53,13 @@ def propagate(
             if nb_virtual_extend > 0:
                 virtual[key][nb_dead:] = obs_to_extend[key]
         return virtual
+
+
+@njit(cache=True)
+def mask_cmin(i, j, c, cmin, cost_mat, mask):
+    for k in range(c.shape[0]):
+        c_ = c[k]
+        if c_ > cmin:
+            i_, j_ = i[k], j[k]
+            cost_mat[i_, j_] = 1 - c_
+            mask[i_, j_] = False
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index a1da6b46..ce3bb787 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -83,7 +83,7 @@ def build_index(groups):
             first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
     last_index = zeros(amplitude, dtype=numba_types.int_)
     last_index[:-1] = first_index[1:]
-    last_index[-1] = i + 2
+    last_index[-1] = i + 1
     return first_index, last_index, i0
 
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 16577bf4..33fe6469 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -15,38 +15,81 @@
 logger = logging.getLogger("pet")
 
 
-class Network:
-    __slots__ = ("window", "filenames", "contour_name", "nb_input", "xname", "yname")
-    # To be used like a buffer
+class Singleton(type):
+    _instances = {}
+
+    def __call__(cls, *args, **kwargs):
+        if cls not in cls._instances:
+            cls._instances[cls] = super().__call__(*args, **kwargs)
+        return cls._instances[cls]
+
+
+class Buffer(metaclass=Singleton):
+    __slots__ = (
+        "buffersize",
+        "contour_name",
+        "xname",
+        "yname",
+        "memory",
+    )
     DATA = dict()
     FLIST = list()
-    NOGROUP = TrackEddiesObservations.NOGROUP
 
-    def __init__(self, input_regex, window=5, intern=False):
-        self.window = window
+    def __init__(self, buffersize, intern=False, memory=False):
+        self.buffersize = buffersize
         self.contour_name = EddiesObservations.intern(intern, public_label=True)
         self.xname, self.yname = EddiesObservations.intern(intern)
-        self.filenames = glob(input_regex)
-        self.filenames.sort()
-        self.nb_input = len(self.filenames)
+        self.memory = memory
 
     def load_contour(self, filename):
         if filename not in self.DATA:
-            if len(self.FLIST) > self.window:
+            if len(self.FLIST) > self.buffersize:
                 self.DATA.pop(self.FLIST.pop(0))
-            e = EddiesObservations.load_file(filename, include_vars=self.contour_name)
+            if self.memory:
+                # Only if netcdf
+                with open(filename, "rb") as h:
+                    e = EddiesObservations.load_file(h, include_vars=self.contour_name)
+            else:
+                e = EddiesObservations.load_file(
+                    filename, include_vars=self.contour_name
+                )
+            self.FLIST.append(filename)
             self.DATA[filename] = e[self.xname], e[self.yname]
         return self.DATA[filename]
 
+
+class Network:
+    __slots__ = (
+        "window",
+        "filenames",
+        "nb_input",
+        "buffer",
+        "memory",
+    )
+
+    NOGROUP = TrackEddiesObservations.NOGROUP
+
+    def __init__(self, input_regex, window=5, intern=False, memory=False):
+        """
+        Class to group observations by network
+        """
+        self.window = window
+        self.buffer = Buffer(window, intern, memory)
+        self.filenames = glob(input_regex)
+        self.filenames.sort()
+        self.nb_input = len(self.filenames)
+        self.memory = memory
+
     def get_group_array(self, results, nb_obs):
         """With a loop on all pair of index, we will label each obs with a group
         number
         """
-        nb_obs = array(nb_obs)
+        nb_obs = array(nb_obs, dtype="u4")
         day_start = nb_obs.cumsum() - nb_obs
         gr = empty(nb_obs.sum(), dtype="u4")
         gr[:] = self.NOGROUP
 
+        merge_id = list()
         id_free = 1
         for i, j, ii, ij in results:
             gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]
@@ -66,9 +109,14 @@ def get_group_array(self, results, nb_obs):
             if m.any():
                 # Merge of group, ref over etu
                 for i_, j_ in zip(ii[m], ij[m]):
-                    gr_i_, gr_j_ = gr_i[i_], gr_j[j_]
-                    gr[gr == gr_i_] = gr_j_
-        return gr
+                    merge_id.append((gr_i[i_], gr_j[j_]))
+
+        gr_transfer = arange(id_free, dtype="u4")
+        for i, j in merge_id:
+            gr_i, gr_j = gr_transfer[i], gr_transfer[j]
+            if gr_i != gr_j:
+                apply_replace(gr_transfer, gr_i, gr_j)
+        return gr_transfer[gr]
 
     def group_observations(self, **kwargs):
         results, nb_obs = list(), list()
@@ -78,11 +126,11 @@ def group_observations(self, **kwargs):
             if display_iteration:
                 print(f"{filename} compared to {self.window} next", end="\r")
             # Load observations with function to buffered observations
-            xi, yi = self.load_contour(filename)
+            xi, yi = self.buffer.load_contour(filename)
             # Append number of observations by filename
             nb_obs.append(xi.shape[0])
             for j in range(i + 1, min(self.window + i + 1, self.nb_input)):
-                xj, yj = self.load_contour(self.filenames[j])
+                xj, yj = self.buffer.load_contour(self.filenames[j])
                 ii, ij = bbox_intersection(xi, yi, xj, yj)
                 m = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs) > 0.2
                 results.append((i, j, ii[m], ij[m]))
@@ -109,7 +157,12 @@ def build_dataset(self, group):
         for filename in self.filenames:
             if display_iteration:
                 print(f"Load {filename} to copy", end="\r")
-            e = EddiesObservations.load_file(filename, raw_data=True)
+            if self.memory:
+                # Only if netcdf
+                with open(filename, "rb") as h:
+                    e = EddiesObservations.load_file(h, raw_data=True)
+            else:
+                e = EddiesObservations.load_file(filename, raw_data=True)
             stop = i + len(e)
             sl = slice(i, stop)
             for element in elements:
@@ -132,3 +185,11 @@ def get_next_index(gr):
         new_index[i] = i_gr[g]
         i_gr[g] += 1
     return new_index
+
+
+@njit(cache=True)
+def apply_replace(x, x0, x1):
+    nb = x.shape[0]
+    for i in range(nb):
+        if x[i] == x0:
+            x[i] = x1
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 23d6bf55..54383b47 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -33,6 +33,7 @@
     isnan,
     linspace,
     ma,
+    nan,
     ndarray,
     ones,
     percentile,
@@ -615,8 +616,12 @@ def load_file(cls, filename, **kwargs):
         )
         if isinstance(filename, zarr.storage.MutableMapping):
             return cls.load_from_zarr(filename, **kwargs)
-        end = b".zarr" if isinstance(filename_, bytes) else ".zarr"
-        if filename_.endswith(end):
+        if isinstance(filename, (bytes, str)):
+            end = b".zarr" if isinstance(filename_, bytes) else ".zarr"
+            zarr_file = filename_.endswith(end)
+        else:
+            zarr_file = False
+        if zarr_file:
             return cls.load_from_zarr(filename, **kwargs)
         else:
             return cls.load_from_netcdf(filename, **kwargs)
@@ -644,8 +649,8 @@ def load_from_zarr(
         :return: Obsevations selected
         :return type: class
         """
-        # FIXME must be investigate, in zarr no dimensions name (or could be add in attr)
-        array_dim = 50
+        # FIXME
+        array_dim = -1
         if isinstance(filename, zarr.storage.MutableMapping):
             h_zarr = filename
         else:
@@ -655,6 +660,10 @@ def load_from_zarr(
         var_list = cls.build_var_list(list(h_zarr.keys()), remove_vars, include_vars)
 
         nb_obs = getattr(h_zarr, var_list[0]).shape[0]
+        dims = list(cls.zarr_dimension(filename))
+        if len(dims) == 2 and nb_obs in dims:
+            # FIXME must be investigate, in zarr no dimensions name (or could be add in attr)
+            array_dim = dims[1] if nb_obs == dims[0] else dims[0]
         if indexs is not None and "obs" in indexs:
             sl = indexs["obs"]
             sl = slice(sl.start, min(sl.stop, nb_obs))
@@ -667,7 +676,7 @@ def load_from_zarr(
                 logger.warning("step of slice won't be use")
         logger.debug("%d observations will be load", nb_obs)
         kwargs = dict()
-        dims = cls.zarr_dimension(filename)
+
         if array_dim in dims:
             kwargs["track_array_variables"] = array_dim
             kwargs["array_variables"] = list()
@@ -1197,8 +1206,7 @@ def solve_simultaneous(cost):
         """Write something (TODO)"""
         mask = ~cost.mask
         # Count number of link by self obs and other obs
-        self_links = mask.sum(axis=1)
-        other_links = mask.sum(axis=0)
+        self_links, other_links = sum_row_column(mask)
         max_links = max(self_links.max(), other_links.max())
         if max_links > 5:
             logger.warning("One observation have %d links", max_links)
@@ -1299,7 +1307,7 @@ def solve_first(cost, multiple_link=False):
         return mask
 
     def solve_function(self, cost_matrix):
-        return where(self.solve_simultaneous(cost_matrix))
+        return numba_where(self.solve_simultaneous(cost_matrix))
 
     def post_process_link(self, other, i_self, i_other):
         if unique(i_other).shape[0] != i_other.shape[0]:
@@ -1594,11 +1602,6 @@ def extract_with_mask(self, mask):
         :return: same object with selected observations
         :rtype: self
         """
-        # ça n'existe plus ça??
-        # full_path=False,
-        # remove_incomplete=False,
-        # compress_id=False,
-        # reject_virtual=False
 
         nb_obs = mask.sum()
         new = self.__class__.new_like(self, nb_obs)
@@ -2228,7 +2231,6 @@ def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
         if i_ != i0 or j_ != j0:
             # apply method and store result
             grid[i_, j_] = percentile(values, method)
-            # grid[i_, j_] = len(values)
             mask[i_, j_] = False
             # start new group
             i0, j0 = i_, j_
@@ -2251,12 +2253,14 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
     :param bool circular: True if grid is wrappable
     :param str method: 'mean', 'max'
     """
+    # FIXME : how does it work on grid bound
     nb = result.shape[0]
     xstep, ystep = x_c[1] - x_c[0], y_c[1] - y_c[0]
     x0, y0 = x_c - xstep / 2.0, y_c - ystep / 2.0
     nb_x = x_c.shape[0]
     max_method = "max" == method
     mean_method = "mean" == method
+    count_method = "count" == method
     for elt in range(nb):
         v = create_vertice(x[elt], y[elt])
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
@@ -2264,11 +2268,18 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
 
-        if mean_method:
+        if count_method:
+            result[elt] = i.shape[0]
+        elif mean_method:
             v_sum = 0
             for i_, j_ in zip(i, j):
                 v_sum += grid[i_, j_]
-            result[elt] = v_sum / i.shape[0]
+            nb_ = i.shape[0]
+            # FIXME : how does it work on grid bound,
+            if nb_ == 0:
+                result[elt] = nan
+            else:
+                result[elt] = v_sum / nb_
         elif max_method:
             v_max = -1e40
             for i_, j_ in zip(i, j):
@@ -2286,3 +2297,25 @@ def elements(self):
         elements = super().elements
         elements.extend(["track", "segment_size", "dlon", "dlat"])
         return list(set(elements))
+
+
+@njit(cache=True)
+def numba_where(mask):
+    """Usefull when mask is close to be empty"""
+    return where(mask)
+
+
+@njit(cache=True)
+def sum_row_column(mask):
+    """
+    Compute sum on row and column at same time
+    """
+    nb_x, nb_y = mask.shape
+    row_sum = zeros(nb_x, dtype=numba_types.int32)
+    column_sum = zeros(nb_y, dtype=numba_types.int32)
+    for i in range(nb_x):
+        for j in range(nb_y):
+            if mask[i, j]:
+                row_sum[i] += 1
+                column_sum[j] += 1
+    return row_sum, column_sum
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index eb601dca..4677e3bf 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -321,7 +321,7 @@ def bbox_intersection(x0, y0, x1, y1):
                 continue
             i.append(i0)
             j.append(i1)
-    return array(i), array(j)
+    return array(i, dtype=numba_types.int32), array(j, dtype=numba_types.int32)
 
 
 @njit(cache=True)
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index ae0a2524..cba9985e 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -67,6 +67,7 @@ def __init__(
         class_method=None,
         class_kw=None,
         previous_correspondance=None,
+        memory=False,
     ):
         """Initiate tracking
 
@@ -74,6 +75,7 @@ def __init__(
         :param class class_method: A class which tell how to track
         :param dict class_kw: keyword argument to setup class
         :param Correspondances previous_correspondance: A previous correspondance object if you want continue tracking
+        :param bool memory: identification file are load in memory before to be open with netcdf
         """
         super().__init__()
         # Correspondance dtype
@@ -88,6 +90,7 @@ def __init__(
         else:
             self.class_method = class_method
         self.class_kw = dict() if class_kw is None else class_kw
+        self.memory = memory
 
         # To count ID
         self.current_id = 0
@@ -171,7 +174,11 @@ def swap_dataset(self, dataset, *args, **kwargs):
         self.previous_obs = self.current_obs
         kwargs = kwargs.copy()
         kwargs.update(self.class_kw)
-        self.current_obs = self.class_method.load_file(dataset, *args, **kwargs)
+        if self.memory:
+            with open(dataset, "rb") as h:
+                self.current_obs = self.class_method.load_file(h, *args, **kwargs)
+        else:
+            self.current_obs = self.class_method.load_file(dataset, *args, **kwargs)
 
     def merge_correspondance(self, other):
         # Verify compliance of file
@@ -712,53 +719,29 @@ def get_unused_data(self, raw_data=False):
         Returns: Unused Eddies
 
         """
-        self.reset_dataset_cache()
-        self.swap_dataset(self.datasets[0], raw_data=raw_data)
-
         nb_dataset = len(self.datasets)
-        # Get the number of obs unused
-        nb_obs = 0
-        list_mask = list()
         has_virtual = "virtual" in self[0].dtype.names
-        logger.debug("Count unused data ...")
-        for i, filename in enumerate(self.datasets):
+        eddies = list()
+        for i, dataset in enumerate(self.datasets):
             last_dataset = i == (nb_dataset - 1)
             if has_virtual and not last_dataset:
                 m_in = ~self[i]["virtual"]
             else:
                 m_in = slice(None)
             if i == 0:
-                eddies_used = self[i]["in"]
+                index_used = self[i]["in"]
             elif last_dataset:
-                eddies_used = self[i - 1]["out"]
+                index_used = self[i - 1]["out"]
             else:
-                eddies_used = unique(
+                index_used = unique(
                     concatenate((self[i - 1]["out"], self[i]["in"][m_in]))
                 )
-            if not isinstance(filename, str):
-                filename = filename.astype(str)
-            with Dataset(filename) as h:
-                nb_obs_day = len(h.dimensions["obs"])
-            m = ones(nb_obs_day, dtype="bool")
-            m[eddies_used] = False
-            list_mask.append(m)
-            nb_obs += m.sum()
-        logger.debug("Count unused data OK")
-        eddies = EddiesObservations(
-            size=nb_obs,
-            track_extra_variables=self.current_obs.track_extra_variables,
-            track_array_variables=self.current_obs.track_array_variables,
-            array_variables=self.current_obs.array_variables,
-            raw_data=raw_data,
-        )
-        j = 0
-        for i, dataset in enumerate(self.datasets):
-            logger.debug("Loaf file : (%d) %s", i, dataset)
-            current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
-            if i == 0:
-                eddies.sign_type = current_obs.sign_type
-            unused_obs = current_obs.obs[list_mask[i]]
-            nb = unused_obs.shape[0]
-            eddies.obs[j : j + nb] = unused_obs
-            j += nb
-        return eddies
+
+            logger.debug("Load file : %s", dataset)
+            if self.memory:
+                with open(dataset, "rb") as h:
+                    current_obs = self.class_method.load_file(h, raw_data=raw_data)
+            else:
+                current_obs = self.class_method.load_file(dataset, raw_data=raw_data)
+            eddies.append(current_obs.index(index_used, reverse=True))
+        return EddiesObservations.concatenate(eddies)
diff --git a/src/scripts/EddyTracking b/src/scripts/EddyTracking
deleted file mode 100644
index 28c946fa..00000000
--- a/src/scripts/EddyTracking
+++ /dev/null
@@ -1,274 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-Track eddy with Identification file produce with EddyIdentification
-"""
-import logging
-from datetime import datetime
-from glob import glob
-from os import mkdir
-from os.path import basename, dirname, exists
-from os.path import join as join_path
-from re import compile as re_compile
-
-from netCDF4 import Dataset
-from numpy import bytes_, empty, unique
-from yaml import load as yaml_load
-
-from py_eddy_tracker import EddyParser
-from py_eddy_tracker.tracking import Correspondances
-
-logger = logging.getLogger("pet")
-
-
-def browse_dataset_in(
-    data_dir,
-    files_model,
-    date_regexp,
-    date_model,
-    start_date=None,
-    end_date=None,
-    sub_sampling_step=1,
-    files=None,
-):
-    pattern_regexp = re_compile(".*/" + date_regexp)
-    if files is not None:
-        filenames = bytes_(files)
-    else:
-        full_path = join_path(data_dir, files_model)
-        logger.info("Search files : %s", full_path)
-        filenames = bytes_(glob(full_path))
-
-    dataset_list = empty(
-        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[D]"),]
-    )
-    dataset_list["filename"] = filenames
-
-    logger.info("%s grids available", dataset_list.shape[0])
-    mode_attrs = False
-    if "(" not in date_regexp:
-        logger.debug("Attrs date : %s", date_regexp)
-        mode_attrs = date_regexp.strip().split(":")
-    else:
-        logger.debug("Pattern date : %s", date_regexp)
-
-    for item in dataset_list:
-        str_date = None
-        if mode_attrs:
-            with Dataset(item["filename"].decode("utf-8")) as h:
-                if len(mode_attrs) == 1:
-                    str_date = getattr(h, mode_attrs[0])
-                else:
-                    str_date = getattr(h.variables[mode_attrs[0]], mode_attrs[1])
-        else:
-            result = pattern_regexp.match(str(item["filename"]))
-            if result:
-                str_date = result.groups()[0]
-
-        if str_date is not None:
-            item["date"] = datetime.strptime(str_date, date_model).date()
-
-    dataset_list.sort(order=["date", "filename"])
-
-    steps = unique(dataset_list["date"][1:] - dataset_list["date"][:-1])
-    if len(steps) > 1:
-        raise Exception("Several days steps in grid dataset %s" % steps)
-
-    if sub_sampling_step != 1:
-        logger.info("Grid subsampling %d", sub_sampling_step)
-        dataset_list = dataset_list[::sub_sampling_step]
-
-    if start_date is not None or end_date is not None:
-        logger.info(
-            "Available grid from %s to %s",
-            dataset_list[0]["date"],
-            dataset_list[-1]["date"],
-        )
-        logger.info("Filtering grid by time %s, %s", start_date, end_date)
-        mask = (dataset_list["date"] >= start_date) * (dataset_list["date"] <= end_date)
-
-        dataset_list = dataset_list[mask]
-    return dataset_list
-
-
-def usage():
-    """Usage
-    """
-    # Run using:
-    parser = EddyParser("Tool to use identification step to compute tracking")
-    parser.add_argument("yaml_file", help="Yaml file to configure py-eddy-tracker")
-    parser.add_argument("--correspondance_in", help="Filename of saved correspondance")
-    parser.add_argument("--correspondance_out", help="Filename to save correspondance")
-    parser.add_argument(
-        "--save_correspondance_and_stop",
-        action="store_true",
-        help="Stop tracking after correspondance computation,"
-        " merging can be done with EddyFinalTracking",
-    )
-    parser.add_argument(
-        "--zarr", action="store_true", help="Output will be wrote in zarr"
-    )
-    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
-    parser.add_argument(
-        "--blank_period",
-        type=int,
-        default=0,
-        help="Nb of detection which will not use at the end of the period",
-    )
-    args = parser.parse_args()
-
-    # Read yaml configuration file
-    with open(args.yaml_file, "r") as stream:
-        config = yaml_load(stream)
-    if args.correspondance_in is not None and not exists(args.correspondance_in):
-        args.correspondance_in = None
-    return (
-        config,
-        args.save_correspondance_and_stop,
-        args.correspondance_in,
-        args.correspondance_out,
-        args.blank_period,
-        args.zarr,
-        not args.unraw,
-    )
-
-
-if __name__ == "__main__":
-    (
-        CONFIG,
-        SAVE_STOP,
-        CORRESPONDANCES_IN,
-        CORRESPONDANCES_OUT,
-        BLANK_PERIOD,
-        ZARR,
-        RAW,
-    ) = usage()
-    # Create output directory
-    SAVE_DIR = CONFIG["PATHS"].get("SAVE_DIR", None)
-    if SAVE_DIR is not None and not exists(SAVE_DIR):
-        mkdir(SAVE_DIR)
-
-    YAML_CORRESPONDANCES_OUT = CONFIG["PATHS"].get("CORRESPONDANCES_OUT", None)
-    if CORRESPONDANCES_IN is None:
-        CORRESPONDANCES_IN = CONFIG["PATHS"].get("CORRESPONDANCES_IN", None)
-    if CORRESPONDANCES_OUT is None:
-        CORRESPONDANCES_OUT = YAML_CORRESPONDANCES_OUT
-    if YAML_CORRESPONDANCES_OUT is None and CORRESPONDANCES_OUT is None:
-        CORRESPONDANCES_OUT = "{path}/{sign_type}_correspondances.nc"
-
-    CLASS = None
-    CLASS_KW = dict()
-    if "CLASS" in CONFIG:
-        CLASSNAME = CONFIG["CLASS"]["CLASS"]
-        CLASS = getattr(
-            __import__(CONFIG["CLASS"]["MODULE"], globals(), locals(), CLASSNAME),
-            CLASSNAME,
-        )
-        CLASS_KW = CONFIG["CLASS"].get("OPTIONS", dict())
-
-    NB_VIRTUAL_OBS_MAX_BY_SEGMENT = int(CONFIG.get("VIRTUAL_LENGTH_MAX", 0))
-
-    if isinstance(CONFIG["PATHS"]["FILES_PATTERN"], list):
-        DATASET_LIST = browse_dataset_in(
-            data_dir=None,
-            files_model=None,
-            files=CONFIG["PATHS"]["FILES_PATTERN"],
-            date_regexp=".*_([0-9]*?).[nz].*",
-            date_model="%Y%m%d",
-        )
-    else:
-        DATASET_LIST = browse_dataset_in(
-            data_dir=dirname(CONFIG["PATHS"]["FILES_PATTERN"]),
-            files_model=basename(CONFIG["PATHS"]["FILES_PATTERN"]),
-            date_regexp=".*_([0-9]*?).[nz].*",
-            date_model="%Y%m%d",
-        )
-
-    if BLANK_PERIOD > 0:
-        DATASET_LIST = DATASET_LIST[:-BLANK_PERIOD]
-        logger.info("Last %d files will be pop", BLANK_PERIOD)
-
-    START_TIME = datetime.now()
-    logger.info("Start tracking on %d files", len(DATASET_LIST))
-
-    NB_OBS_MIN = int(CONFIG.get("TRACK_DURATION_MIN", 14))
-    if NB_OBS_MIN > len(DATASET_LIST):
-        raise Exception(
-            "Input file number (%s) is shorter than TRACK_DURATION_MIN (%s)."
-            % (len(DATASET_LIST), NB_OBS_MIN)
-        )
-
-    CORRESPONDANCES = Correspondances(
-        datasets=DATASET_LIST["filename"],
-        virtual=NB_VIRTUAL_OBS_MAX_BY_SEGMENT,
-        class_method=CLASS,
-        class_kw=CLASS_KW,
-        previous_correspondance=CORRESPONDANCES_IN,
-    )
-    CORRESPONDANCES.track()
-    logger.info("Track finish")
-
-    logger.info("Start merging")
-    DATE_START, DATE_STOP = CORRESPONDANCES.period
-    DICT_COMPLETION = dict(
-        date_start=DATE_START,
-        date_stop=DATE_STOP,
-        date_prod=START_TIME,
-        path=SAVE_DIR,
-        sign_type=CORRESPONDANCES.current_obs.sign_legend,
-    )
-
-    CORRESPONDANCES.save(CORRESPONDANCES_OUT, DICT_COMPLETION)
-    if SAVE_STOP:
-        exit()
-
-    # Merge correspondance, only do if we stop and store just after compute of correspondance
-    CORRESPONDANCES.prepare_merging()
-
-    logger.info(
-        "Longer track saved have %d obs", CORRESPONDANCES.nb_obs_by_tracks.max()
-    )
-    logger.info(
-        "The mean length is %d observations before filtering",
-        CORRESPONDANCES.nb_obs_by_tracks.mean(),
-    )
-
-    CORRESPONDANCES.get_unused_data(raw_data=RAW).write_file(
-        path=SAVE_DIR, filename="%(path)s/%(sign_type)s_untracked.nc", zarr_flag=ZARR
-    )
-
-    SHORT_CORRESPONDANCES = CORRESPONDANCES._copy()
-    SHORT_CORRESPONDANCES.shorter_than(size_max=NB_OBS_MIN)
-
-    CORRESPONDANCES.longer_than(size_min=NB_OBS_MIN)
-
-    FINAL_EDDIES = CORRESPONDANCES.merge(raw_data=RAW)
-    SHORT_TRACK = SHORT_CORRESPONDANCES.merge(raw_data=RAW)
-
-    # We flag obs
-    if CORRESPONDANCES.virtual:
-        FINAL_EDDIES["virtual"][:] = FINAL_EDDIES["time"] == 0
-        FINAL_EDDIES.filled_by_interpolation(FINAL_EDDIES["virtual"] == 1)
-        SHORT_TRACK["virtual"][:] = SHORT_TRACK["time"] == 0
-        SHORT_TRACK.filled_by_interpolation(SHORT_TRACK["virtual"] == 1)
-
-    # Total running time
-    FULL_TIME = datetime.now() - START_TIME
-    logger.info("Mean duration by loop : %s", FULL_TIME / (len(DATASET_LIST) - 1))
-    logger.info("Duration : %s", FULL_TIME)
-
-    logger.info(
-        "Longer track saved have %d obs", CORRESPONDANCES.nb_obs_by_tracks.max()
-    )
-    logger.info(
-        "The mean length is %d observations after filtering",
-        CORRESPONDANCES.nb_obs_by_tracks.mean(),
-    )
-
-    FINAL_EDDIES.write_file(path=SAVE_DIR, zarr_flag=ZARR)
-    SHORT_TRACK.write_file(
-        filename="%(path)s/%(sign_type)s_track_too_short.nc",
-        path=SAVE_DIR,
-        zarr_flag=ZARR,
-    )
-

From 5cbc1165b3e2ac469763e72d1e4018982bce7bfd Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 5 Jan 2021 14:34:33 +0100
Subject: [PATCH 199/441] add a intern option in common parser

---
 src/py_eddy_tracker/__init__.py      |  7 +++++++
 src/py_eddy_tracker/appli/eddies.py  |  6 +-----
 src/py_eddy_tracker/appli/gui.py     |  6 +-----
 src/py_eddy_tracker/appli/network.py | 12 ++----------
 4 files changed, 11 insertions(+), 20 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 1fa57c7e..d184d551 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -92,6 +92,13 @@ def memory_arg(self):
             help="Load file in memory before to read with netCDF library",
         )
 
+    def contour_intern_arg(self):
+        self.add_argument(
+            "--intern",
+            action="store_true",
+            help="Use intern contour instead of outter contour",
+        )
+
     def parse_args(self, *args, **kwargs):
         logger = start_logger()
         # Parsing
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 2f78510f..245a176f 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -76,11 +76,7 @@ def get_frequency_grid():
     parser = EddyParser("Compute eddy frequency")
     parser.add_argument("observations", help="Input observations to compute frequency")
     parser.add_argument("out", help="Grid output file")
-    parser.add_argument(
-        "--intern",
-        help="Use speed contour instead of effective contour",
-        action="store_true",
-    )
+    parser.contour_intern_arg()
     parser.add_argument(
         "--xrange", nargs="+", type=float, help="Horizontal range : START,STOP,STEP"
     )
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index ec843400..01009437 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -177,11 +177,7 @@ def anim():
     )
     parser.add_argument("filename", help="eddy atlas")
     parser.add_argument("id", help="Track id to anim", type=int, nargs="*")
-    parser.add_argument(
-        "--intern",
-        action="store_true",
-        help="display intern contour inplace of outter contour",
-    )
+    parser.contour_intern_arg()
     parser.add_argument(
         "--keep_step", default=25, help="number maximal of step displayed", type=int
     )
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index dfdf6fbb..aa560624 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -27,11 +27,7 @@ def build_network():
     parser.add_argument(
         "--window", "-w", type=int, help="Half time window to search eddy", default=1
     )
-    parser.add_argument(
-        "--intern",
-        action="store_true",
-        help="Use intern contour instead of outter contour",
-    )
+    parser.contour_intern_arg()
 
     parser.memory_arg()
     args = parser.parse_args()
@@ -50,11 +46,7 @@ def divide_network():
     parser = EddyParser("Separate path for a same group")
     parser.add_argument("input", help="input network file")
     parser.add_argument("out", help="output file")
-    parser.add_argument(
-        "--intern",
-        action="store_true",
-        help="Use intern contour instead of outter contour",
-    )
+    parser.contour_intern_arg()
     parser.add_argument(
         "--window", "-w", type=int, help="Half time window to search eddy", default=1
     )

From a1515bdb1dfd7ea9466b2692a45b50948b751705 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 5 Jan 2021 15:45:56 +0100
Subject: [PATCH 200/441] Add a low pass filter option to remove noisy data to
 answer at #42

---
 CHANGELOG.rst                     | 10 +++++++++
 src/py_eddy_tracker/appli/grid.py | 34 +++++++++++++++++++++++++++----
 2 files changed, 40 insertions(+), 4 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 72b204c1..249ab401 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -9,6 +9,16 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 [Unreleased]
 ------------
 
+Fixed
+^^^^^
+- Use `safe_load` for yaml load
+
+Added
+^^^^^
+- Identification file could be load in memory before to be read with netcdf library to get speed up in case of slow disk
+- Add a filter option in EddyId to be able to remove fine scale (like noise) with same filter order than high scale
+  filter
+
 [3.3.0] - 2020-12-03
 --------------------
 Added
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index f5fadf9c..7faac7ec 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -69,13 +69,21 @@ def eddy_id(args=None):
     parser.add_argument("longitude")
     parser.add_argument("latitude")
     parser.add_argument("path_out")
-    help = "Wavelength for mesoscale filter in km"
-    parser.add_argument("--cut_wavelength", default=500, type=float, help=help)
+    help = (
+        "Wavelength for mesoscale filter in km to remove low scale if 2 args is given first one will be"
+        "used to remove high scale and second value to remove low scale"
+    )
+    parser.add_argument(
+        "--cut_wavelength", default=[500], type=float, help=help, nargs="+"
+    )
     parser.add_argument("--filter_order", default=3, type=int)
     help = "Step between 2 isoline in m"
     parser.add_argument("--isoline_step", default=0.002, type=float, help=help)
     help = "Error max accepted to fit circle in percent"
     parser.add_argument("--fit_errmax", default=55, type=float, help=help)
+    parser.add_argument(
+        "--lat_max", default=85, type=float, help="Maximal latitude filtered"
+    )
     parser.add_argument("--height_unit", default=None, help="Force height unit")
     parser.add_argument("--speed_unit", default=None, help="Force speed unit")
     parser.add_argument("--unregular", action="store_true", help="if grid is unregular")
@@ -102,6 +110,15 @@ def eddy_id(args=None):
         action=DictAction,
     )
     args = parser.parse_args(args) if args else parser.parse_args()
+
+    cut_wavelength = args.cut_wavelength
+    nb_cw = len(cut_wavelength)
+    if nb_cw > 2 or nb_cw == 0:
+        raise Exception("You must specify 1 or 2 values for cut wavelength.")
+    elif nb_cw == 1:
+        cut_wavelength = [0, *cut_wavelength]
+    inf_bnds, upper_bnds = cut_wavelength
+
     date = datetime.strptime(args.datetime, "%Y%m%d")
     kwargs = dict(
         step=args.isoline_step,
@@ -109,7 +126,9 @@ def eddy_id(args=None):
         pixel_limit=(5, 2000),
         force_height_unit=args.height_unit,
         force_speed_unit=args.speed_unit,
+        nb_step_to_be_mle=0,
     )
+
     a, c = identification(
         args.filename,
         args.longitude,
@@ -119,7 +138,9 @@ def eddy_id(args=None):
         args.u,
         args.v,
         unregular=args.unregular,
-        cut_wavelength=args.cut_wavelength,
+        cut_wavelength=upper_bnds,
+        cut_highwavelength=inf_bnds,
+        lat_max=args.lat_max,
         filter_order=args.filter_order,
         indexs=args.indexs,
         sampling=args.sampling,
@@ -141,6 +162,8 @@ def identification(
     v="None",
     unregular=False,
     cut_wavelength=500,
+    cut_highwavelength=0,
+    lat_max=85,
     filter_order=1,
     indexs=None,
     **kwargs
@@ -150,6 +173,9 @@ def identification(
     if u == "None" and v == "None":
         grid.add_uv(h)
         u, v = "u", "v"
+    kw_filter = dict(order=filter_order, lat_max=lat_max)
+    if cut_highwavelength != 0:
+        grid.bessel_low_filter(h, cut_highwavelength, **kw_filter)
     if cut_wavelength != 0:
-        grid.bessel_high_filter(h, cut_wavelength, order=filter_order)
+        grid.bessel_high_filter(h, cut_wavelength, **kw_filter)
     return grid.eddy_identification(h, u, v, date, **kwargs)

From bc44b6596b38adf858f3833a3942499f984e4936 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 5 Jan 2021 15:48:32 +0100
Subject: [PATCH 201/441] Add a tools to get an easy comparison between several
 identification datasets

---
 CHANGELOG.rst                       |   1 +
 setup.py                            |   1 +
 src/py_eddy_tracker/appli/eddies.py | 138 +++++++++++++++++++++++++++-
 3 files changed, 138 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 249ab401..256aed80 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -18,6 +18,7 @@ Added
 - Identification file could be load in memory before to be read with netcdf library to get speed up in case of slow disk
 - Add a filter option in EddyId to be able to remove fine scale (like noise) with same filter order than high scale
   filter
+- Add **EddyQuickCompare** to have few figures about several datasets in comparison based on match function
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/setup.py b/setup.py
index 366ab160..497ec90b 100644
--- a/setup.py
+++ b/setup.py
@@ -43,6 +43,7 @@
             "EddyInfos = py_eddy_tracker.appli.eddies:display_infos",
             "EddyCircle = py_eddy_tracker.appli.eddies:eddies_add_circle",
             "EddyTracking = py_eddy_tracker.appli.eddies:eddies_tracking",
+            "EddyQuickCompare = py_eddy_tracker.appli.eddies:quick_compare",
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 245a176f..23243165 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -12,11 +12,11 @@
 from re import compile as re_compile
 
 from netCDF4 import Dataset
-from numpy import bytes_, empty, unique
+from numpy import bincount, bytes_, empty, in1d, unique
 from yaml import safe_load
 
 from .. import EddyParser
-from ..observations.observation import EddiesObservations
+from ..observations.observation import EddiesObservations, reverse_index
 from ..observations.tracking import TrackEddiesObservations
 from ..tracking import Correspondances
 
@@ -373,3 +373,137 @@ def track(
     short_track.write_file(
         filename="%(path)s/%(sign_type)s_track_too_short.nc", **kw_write
     )
+
+
+def get_group(
+    dataset1,
+    dataset2,
+    index1,
+    index2,
+    score,
+    invalid=2,
+    low=10,
+    high=60,
+):
+    group1, group2 = dict(), dict()
+    m_valid = (score * 100) >= invalid
+    i1, i2, score = index1[m_valid], index2[m_valid], score[m_valid] * 100
+    # Eddies with no association & scores < invalid
+    group1["nomatch"] = reverse_index(i1, len(dataset1))
+    group2["nomatch"] = reverse_index(i2, len(dataset2))
+    # Select all eddies involved in multiple associations
+    i1_, nb1 = unique(i1, return_counts=True)
+    i2_, nb2 = unique(i2, return_counts=True)
+    i1_multi = i1_[nb1 >= 2]
+    i2_multi = i2_[nb2 >= 2]
+    m_multi = in1d(i1, i1_multi) + in1d(i2, i2_multi)
+    group1["multi_match"] = unique(i1[m_multi])
+    group2["multi_match"] = unique(i2[m_multi])
+
+    # Low scores
+    m_low = score <= low
+    m_low *= ~m_multi
+    group1["low"] = i1[m_low]
+    group2["low"] = i2[m_low]
+    # Intermediate scores
+    m_i = (score > low) * (score <= high)
+    m_i *= ~m_multi
+    group1["intermediate"] = i1[m_i]
+    group2["intermediate"] = i2[m_i]
+    # High scores
+    m_high = score > high
+    m_high *= ~m_multi
+    group1["high"] = i1[m_high]
+    group2["high"] = i2[m_high]
+
+    def get_twin(j2, j1):
+        # True only if j1 is used only one
+        m = bincount(j1)[j1] == 1
+        # We keep only link of this mask j1 have exactly one parent
+        j2_ = j2[m]
+        # We count parent times
+        m_ = (bincount(j2_)[j2_] == 2) * (bincount(j2)[j2_] == 2)
+        # we fill first mask with second one
+        m[m] = m_
+        return m
+
+    m1 = get_twin(i1, i2)
+    m2 = get_twin(i2, i1)
+    group1["parent"] = unique(i1[m1])
+    group2["parent"] = unique(i2[m2])
+    group1["twin"] = i1[m2]
+    group2["twin"] = i2[m1]
+
+    m = ~m1 * ~m2 * m_multi
+    group1["complex"] = unique(i1[m])
+    group2["complex"] = unique(i2[m])
+
+    return group1, group2
+
+
+def quick_compare():
+    parser = EddyParser(
+        "Tool to have a quick comparison between several identification"
+    )
+    parser.add_argument("ref", help="Identification file of reference")
+    parser.add_argument("others", nargs="+", help="Identifications files to compare")
+    parser.add_argument("--high", default=40, type=float)
+    parser.add_argument("--low", default=20, type=float)
+    parser.add_argument("--invalid", default=5, type=float)
+    parser.contour_intern_arg()
+    args = parser.parse_args()
+
+    kw = dict(
+        include_vars=[
+            "longitude",
+            *EddiesObservations.intern(args.intern, public_label=True),
+        ]
+    )
+
+    ref = EddiesObservations.load_file(args.ref, **kw)
+    print(f"[ref] {args.ref} -> {len(ref)} obs")
+    groups_ref, groups_other = dict(), dict()
+    others = {other: EddiesObservations.load_file(other, **kw) for other in args.others}
+    for i, other_ in enumerate(args.others):
+        other = others[other_]
+        print(f"[{i}] {other_} -> {len(other)} obs")
+        gr1, gr2 = get_group(
+            ref,
+            other,
+            *ref.match(other, intern=args.intern),
+            invalid=args.invalid,
+            low=args.low,
+            high=args.high,
+        )
+        groups_ref[other_] = gr1
+        groups_other[other_] = gr2
+
+    def display(value, ref=None):
+        outs = list()
+        for v in value:
+            if ref:
+                outs.append(f"{v/ref * 100:.1f}% ({v})")
+            else:
+                outs.append(v)
+        return "".join([f"{v:^15}" for v in outs])
+
+    keys = list(gr1.keys())
+    print("     ", display(keys))
+    for i, v in enumerate(groups_ref.values()):
+        print(
+            f"[{i:2}] ",
+            display(
+                (v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()),
+                ref=len(ref),
+            ),
+        )
+
+    print(display(keys))
+    for i, (k, v) in enumerate(groups_other.items()):
+        print(
+            f"[{i:2}] ",
+            display(
+                (v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()),
+                ref=len(others[k]),
+            ),
+        )

From d123d37c56beb2c63a745e640cb2153273a74088 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 11 Jan 2021 14:20:46 +0100
Subject: [PATCH 202/441] modification of network cost function

---
 src/py_eddy_tracker/observations/tracking.py | 48 +++++++++++---------
 1 file changed, 26 insertions(+), 22 deletions(-)

diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index c67d130a..b80097a4 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -626,27 +626,6 @@ def split_network(self, intern=True, **kwargs):
             m = local_ids["next_obs"] == -1
             local_ids["next_obs"][m] += i_s
         return ids
-        # ids_sort = ids[new_i]
-        # # To be able to follow indices sorting
-        # reverse_sort = empty(new_i.shape[0], dtype="u4")
-        # reverse_sort[new_i] = arange(new_i.shape[0])
-        # # Redirect indices
-        # m = ids_sort["next_obs"] != -1
-        # ids_sort["next_obs"][m] = reverse_sort[
-        #     ids_sort["next_obs"][m]
-        # ]
-        # m = ids_sort["previous_obs"] != -1
-        # ids_sort["previous_obs"][m] = reverse_sort[
-        #     ids_sort["previous_obs"][m]
-        # ]
-        # # print(ids_sort)
-        # display_network(
-        #     x[new_i],
-        #     y[new_i],
-        #     ids_sort["track"],
-        #     ids_sort["time"],
-        #     ids_sort["next_cost"],
-        # )
 
     def set_tracks(self, x, y, ids, window):
         """
@@ -670,6 +649,8 @@ def set_tracks(self, x, y, ids, window):
                 continue
             self.follow_obs(i, track_id, used, ids, polygons, *time_index, window)
             track_id += 1
+            # Search a possible ancestor
+            self.previous_obs(i, ids, polygons, *time_index, window)
 
     @classmethod
     def follow_obs(cls, i_next, track_id, used, ids, *args):
@@ -694,6 +675,29 @@ def follow_obs(cls, i_next, track_id, used, ids, *args):
                 ids["previous_obs"][i_next_] = i_next
             i_next = i_next_
 
+    @staticmethod
+    def previous_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
+        time_cur = ids["time"][i_current]
+        t0, t1 = time_cur - 1 - time_ref, max(time_cur - window - time_ref, 0)
+        for t_step in range(t0, t1 - 1, -1):
+            i0, i1 = time_s[t_step], time_e[t_step]
+            # No observation at the time step
+            if i0 == i1:
+                continue
+            # Intersection / union, to be able to separte in case of multiple inside
+            c = polygon_overlap(polygons[i_current], polygons[i0:i1], minimal_area=True)
+            # We remove low overlap
+            c[c < 0.1] = 0
+            # We get index of maximal overlap
+            i = c.argmax()
+            c_i = c[i]
+            # No overlap found
+            if c_i == 0:
+                continue
+            ids["previous_cost"][i_current] = c_i
+            ids["previous_obs"][i_current] = i0 + i
+            break
+
     @staticmethod
     def next_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
         time_max = time_e.shape[0] - 1
@@ -707,7 +711,7 @@ def next_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
             if i0 == i1:
                 continue
             # Intersection / union, to be able to separte in case of multiple inside
-            c = polygon_overlap(polygons[i_current], polygons[i0:i1])
+            c = polygon_overlap(polygons[i_current], polygons[i0:i1], minimal_area=True)
             # We remove low overlap
             c[c < 0.1] = 0
             # We get index of maximal overlap

From 2c78c226252c2354d6203093cd569da48f11e05d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 11 Jan 2021 14:22:12 +0100
Subject: [PATCH 203/441] - Allow to hide path in GUIEddy - Iter obs on intern
 field or outter array

---
 src/py_eddy_tracker/appli/gui.py                | 17 ++++++++++++++++-
 src/py_eddy_tracker/appli/network.py            |  6 +++---
 src/py_eddy_tracker/dataset/grid.py             |  3 +++
 src/py_eddy_tracker/gui.py                      |  5 +++++
 src/py_eddy_tracker/observations/observation.py |  6 +++---
 5 files changed, 30 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 01009437..a5b58b30 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -44,7 +44,7 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6), **kwargs):
         self.fig = pyplot.figure(figsize=figsize, **kwargs)
         t0, t1 = self.period
         self.fig.suptitle(f"{t0} -> {t1}")
-        self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9))
+        self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9), projection="full_axes")
         self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
         self.ax.set_aspect("equal")
         self.ax.grid()
@@ -192,6 +192,11 @@ def anim():
     parser.add_argument(
         "--infinity_loop", action="store_true", help="Press Escape key to stop loop"
     )
+    parser.add_argument(
+        "--first_centered",
+        action="store_true",
+        help="Longitude will be centered on first obs, if there are only one group.",
+    )
     args = parser.parse_args()
     variables = ["time", "track", "longitude", "latitude"]
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
@@ -203,6 +208,14 @@ def anim():
                 "You need to specify id to display or ask explicity all with --all option"
             )
         eddies = eddies.extract_ids(args.id)
+        if args.first_centered:
+            # TODO: include observatin class
+            x0 = eddies.lon[0]
+            eddies.lon[:] = (eddies.lon - x0 + 180) % 360 + x0 - 180
+            eddies.contour_lon_e[:] = (
+                (eddies.contour_lon_e.T - eddies.lon + 180) % 360 + eddies.lon - 180
+            ).T
+
     a = Anim(
         eddies,
         intern=args.intern,
@@ -217,6 +230,7 @@ def gui_parser():
     parser = EddyParser("Eddy atlas GUI")
     parser.add_argument("atlas", nargs="+")
     parser.add_argument("--med", action="store_true")
+    parser.add_argument("--nopath", action="store_true", help="Don't draw path")
     return parser.parse_args()
 
 
@@ -228,4 +242,5 @@ def guieddy():
     g = GUI(**atlas)
     if args.med:
         g.med()
+    g.hide_path(not args.nopath)
     g.show()
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index aa560624..4eef0942 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -53,10 +53,10 @@ def divide_network():
     args = parser.parse_args()
     contour_name = TrackEddiesObservations.intern(args.intern, public_label=True)
     e = TrackEddiesObservations.load_file(
-        args.input, include_vars=("time", "track", *contour_name)
+        args.input,
+        include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
-    e.split_network(intern=args.intern, window=args.window)
-    # split_network(args.input, args.out)
+    ids = e.split_network(intern=args.intern, window=args.window)
 
 
 def split_network(input, output):
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 52f8201c..e07e32a0 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1163,6 +1163,9 @@ def setup_coordinates(self):
 
     @classmethod
     def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
+        """
+        Geo matrix data must be ordered like this (X,Y) and masked with numpy.ma.array
+        """
         vd = dict() if variables_description is None else variables_description
         x_name, y_name = coordinates[0], coordinates[1]
         obj = cls("array", x_name, y_name, unset=True, **kwargs)
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 1485c08c..423ff306 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -146,6 +146,11 @@ def setup(self):
         # param
         self.param_ax = self.figure.add_axes((0, 0, 1, 0.15), facecolor="0.2")
 
+    def hide_path(self, state):
+        for name in self.datasets:
+            self.m[name]["path_previous"].set_visible(state)
+            self.m[name]["path_future"].set_visible(state)
+
     def draw(self):
         self.m["mini_ax"] = self.figure.add_axes((0.3, 0.85, 0.4, 0.15), zorder=80)
         self.m["mini_ax"].grid()
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 54383b47..ee9301d0 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -456,16 +456,16 @@ def __iter__(self):
         for obs in self.obs:
             yield obs
 
-    def iter_on(self, xname: str, bins=None):
+    def iter_on(self, xname, bins=None):
         """
         Yield observation group for each bin.
 
-        :param str xname:
+        :param str,array xname:
         :param array bins: bounds of each bin ,
         :return: Group observations
         :rtype: self.__class__
         """
-        x = self[xname]
+        x = self[xname] if isinstance(xname, str) else xname
         d = x[1:] - x[:-1]
         if bins is None:
             bins = arange(x.min(), x.max() + 2)

From 25df7b613820b59e28df9abe092ee1c6db306ea9 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 12 Jan 2021 15:03:05 +0100
Subject: [PATCH 204/441] Use last obs of network, manage wrapping of network
 around 0

---
 .../12_external_data/pet_SST_collocation.py   |   6 +-
 src/py_eddy_tracker/appli/network.py          | 252 +-----------------
 src/py_eddy_tracker/generic.py                |   3 +-
 src/py_eddy_tracker/observations/tracking.py  |  26 +-
 4 files changed, 25 insertions(+), 262 deletions(-)

diff --git a/examples/12_external_data/pet_SST_collocation.py b/examples/12_external_data/pet_SST_collocation.py
index e6337754..0855f631 100644
--- a/examples/12_external_data/pet_SST_collocation.py
+++ b/examples/12_external_data/pet_SST_collocation.py
@@ -27,7 +27,7 @@
 
 # %%
 # Loading data
-# -----------------------------
+# ------------
 sst = RegularGridDataset(filename=filename_sst, x_name="lon", y_name="lat")
 alti = RegularGridDataset(
     data.get_path(filename_alt), x_name="longitude", y_name="latitude"
@@ -58,14 +58,14 @@ def update_axes(ax, mappable=None, unit=""):
 
 # %%
 # ADT first display
-# -----------------------------
+# -----------------
 ax = start_axes("SLA", extent=extent)
 m = sst.display(ax, "sla", vmin=0.05, vmax=0.35)
 update_axes(ax, m, unit="[m]")
 
 # %%
 # SST first display
-# -----------------------------
+# -----------------
 
 # %%
 # We can now plot SST from `sst`
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 4eef0942..c692262e 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -5,15 +5,9 @@
 
 import logging
 
-from netCDF4 import Dataset
-from numpy import arange, empty, zeros
-from Polygon import Polygon
-
 from .. import EddyParser
-from ..generic import build_index
 from ..observations.network import Network
 from ..observations.tracking import TrackEddiesObservations
-from ..poly import create_vertice_from_2darray, polygon_overlap
 
 logger = logging.getLogger("pet")
 
@@ -57,246 +51,6 @@ def divide_network():
         include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
     ids = e.split_network(intern=args.intern, window=args.window)
-
-
-def split_network(input, output):
-    """Divide each group in track"""
-    sl = slice(None)
-    with Dataset(input) as h:
-        group = h.variables["track"][sl]
-    track_s, track_e, track_ref = build_index(group)
-    # nb = track_e - track_s
-    # m = nb > 1500
-    # print(group[track_s[m]])
-
-    track_id = 12003
-    sls = [slice(track_s[track_id - track_ref], track_e[track_id - track_ref], None)]
-    for sl in sls:
-
-        print(sl)
-        with Dataset(input) as h:
-            time = h.variables["time"][sl]
-            group = h.variables["track"][sl]
-            x = h.variables["effective_contour_longitude"][sl]
-            y = h.variables["effective_contour_latitude"][sl]
-        print(group[0])
-        ids = empty(
-            time.shape,
-            dtype=[
-                ("group", group.dtype),
-                ("time", time.dtype),
-                ("track", "u2"),
-                ("previous_cost", "f4"),
-                ("next_cost", "f4"),
-                ("previous_observation", "i4"),
-                ("next_observation", "i4"),
-            ],
-        )
-        ids["group"] = group
-        ids["time"] = time
-        # To store id track
-        ids["track"] = 0
-        ids["previous_cost"] = 0
-        ids["next_cost"] = 0
-        ids["previous_observation"] = -1
-        ids["next_observation"] = -1
-        # Cost with previous
-        track_start, track_end, track_ref = build_index(group)
-        for i0, i1 in zip(track_start, track_end):
-            if (i1 - i0) == 0 or group[i0] == Network.NOGROUP:
-                continue
-            sl_group = slice(i0, i1)
-            set_tracks(
-                x[sl_group],
-                y[sl_group],
-                time[sl_group],
-                i0,
-                ids["track"][sl_group],
-                ids["previous_cost"][sl_group],
-                ids["next_cost"][sl_group],
-                ids["previous_observation"][sl_group],
-                ids["next_observation"][sl_group],
-                window=5,
-            )
-
-        new_i = ids.argsort(order=("group", "track", "time"))
-        ids_sort = ids[new_i]
-        # To be able to follow indices sorting
-        reverse_sort = empty(new_i.shape[0], dtype="u4")
-        reverse_sort[new_i] = arange(new_i.shape[0])
-        # Redirect indices
-        m = ids_sort["next_observation"] != -1
-        ids_sort["next_observation"][m] = reverse_sort[ids_sort["next_observation"][m]]
-        m = ids_sort["previous_observation"] != -1
-        ids_sort["previous_observation"][m] = reverse_sort[
-            ids_sort["previous_observation"][m]
-        ]
-        # print(ids_sort)
-        display_network(
-            x[new_i],
-            y[new_i],
-            ids_sort["track"],
-            ids_sort["time"],
-            ids_sort["next_cost"],
-        )
-
-
-def next_obs(
-    i_current, next_cost, previous_cost, polygons, t, t_start, t_end, t_ref, window
-):
-    t_max = t_end.shape[0] - 1
-    t_cur = t[i_current]
-    t0, t1 = t_cur + 1 - t_ref, t_cur + window - t_ref
-    if t0 > t_max:
-        return -1
-    t1 = min(t1, t_max)
-    for t_step in range(t0, t1 + 1):
-        i0, i1 = t_start[t_step], t_end[t_step]
-        # No observation at the time step !
-        if i0 == i1:
-            continue
-        sl = slice(i0, i1)
-        # Intersection / union, to be able to separte in case of multiple inside
-        c = polygon_overlap(polygons[i_current], polygons[sl])
-        # We remove low overlap
-        if (c > 0.1).sum() > 1:
-            print(c)
-        c[c < 0.1] = 0
-        # We get index of maximal overlap
-        i = c.argmax()
-        c_i = c[i]
-        # No overlap found
-        if c_i == 0:
-            continue
-        target = i0 + i
-        # Check if candidate is already used
-        c_target = previous_cost[target]
-        if (c_target != 0 and c_target < c_i) or c_target == 0:
-            previous_cost[target] = c_i
-        next_cost[i_current] = c_i
-        return target
-    return -1
-
-
-def set_tracks(
-    x,
-    y,
-    t,
-    ref_index,
-    track,
-    previous_cost,
-    next_cost,
-    previous_observation,
-    next_observation,
-    window,
-):
-    # Will split one group in tracks
-    t_start, t_end, t_ref = build_index(t)
-    nb = x.shape[0]
-    used = zeros(nb, dtype="bool")
-    current_track = 1
-    # build all polygon (need to check if wrap is needed)
-    polygons = list()
-    for i in range(nb):
-        polygons.append(Polygon(create_vertice_from_2darray(x, y, i)))
-
-    for i in range(nb):
-        # If observation already in one track, we go to the next one
-        if used[i]:
-            continue
-        build_track(
-            i,
-            current_track,
-            used,
-            track,
-            previous_observation,
-            next_observation,
-            ref_index,
-            next_cost,
-            previous_cost,
-            polygons,
-            t,
-            t_start,
-            t_end,
-            t_ref,
-            window,
-        )
-        current_track += 1
-
-
-def build_track(
-    first_index,
-    track_id,
-    used,
-    track,
-    previous_observation,
-    next_observation,
-    ref_index,
-    next_cost,
-    previous_cost,
-    *args,
-):
-    i_next = first_index
-    while i_next != -1:
-        # Flag
-        used[i_next] = True
-        # Assign id
-        track[i_next] = track_id
-        # Search next
-        i_next_ = next_obs(i_next, next_cost, previous_cost, *args)
-        if i_next_ == -1:
-            break
-        next_observation[i_next] = i_next_ + ref_index
-        if not used[i_next_]:
-            previous_observation[i_next_] = i_next + ref_index
-        # Target was previously used
-        if used[i_next_]:
-            if next_cost[i_next] == previous_cost[i_next_]:
-                m = track[i_next_:] == track[i_next_]
-                track[i_next_:][m] = track_id
-                previous_observation[i_next_] = i_next + ref_index
-            i_next_ = -1
-        i_next = i_next_
-
-
-def display_network(x, y, tr, t, c):
-    tr0, tr1, t_ref = build_index(tr)
-    import matplotlib.pyplot as plt
-
-    cmap = plt.get_cmap("jet")
-    from ..generic import flatten_line_matrix
-
-    fig = plt.figure(figsize=(20, 10))
-    ax = fig.add_subplot(121, aspect="equal")
-    ax.grid()
-    ax_time = fig.add_subplot(122)
-    ax_time.grid()
-    i = 0
-    for s, e in zip(tr0, tr1):
-        if s == e:
-            continue
-        sl = slice(s, e)
-        color = cmap((tr[s] - tr[tr0[0]]) / (tr[tr0[-1]] - tr[tr0[0]]))
-        ax.plot(
-            flatten_line_matrix(x[sl]),
-            flatten_line_matrix(y[sl]),
-            color=color,
-            label=f"{tr[s]} - {e-s} obs from {t[s]} to {t[e-1]}",
-        )
-        i += 1
-        ax_time.plot(
-            t[sl],
-            tr[s].repeat(e - s) + c[sl],
-            color=color,
-            label=f"{tr[s]} - {e-s} obs",
-            lw=0.5,
-        )
-        ax_time.plot(t[sl], tr[s].repeat(e - s), color=color, lw=1, marker="+")
-        ax_time.text(t[s], tr[s] + 0.15, f"{x[s].mean():.2f}, {y[s].mean():.2f}")
-        ax_time.axvline(t[s], color=".75", lw=0.5, ls="--", zorder=-10)
-        ax_time.text(
-            t[e - 1], tr[e - 1] - 0.25, f"{x[e-1].mean():.2f}, {y[e-1].mean():.2f}"
-        )
-    ax.legend()
-    ax_time.legend()
-    plt.show()
+    e = e.add_fields(("sub_track",))
+    e.sub_track[:] = ids["track"]
+    e.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index ce3bb787..24b3cc22 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -83,7 +83,8 @@ def build_index(groups):
             first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
     last_index = zeros(amplitude, dtype=numba_types.int_)
     last_index[:-1] = first_index[1:]
-    last_index[-1] = i + 1
+    # + 2 because we iterate only until -2 and we want upper bound ( 1 + 1)
+    last_index[-1] = i + 2
     return first_index, last_index, i0
 
 
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index b80097a4..55c67f74 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -26,11 +26,10 @@
     where,
     zeros,
 )
-from Polygon import Polygon
 
 from .. import VAR_DESCR_inv, __version__
 from ..generic import build_index, cumsum_by_track, distance, split_line, wrap_longitude
-from ..poly import create_vertice_from_2darray, merge, polygon_overlap
+from ..poly import bbox_intersection, merge, vertice_overlap
 from .observation import EddiesObservations
 
 logger = logging.getLogger("pet")
@@ -642,15 +641,14 @@ def set_tracks(self, x, y, ids, window):
         used = zeros(nb, dtype="bool")
         track_id = 1
         # build all polygon (need to check if wrap is needed)
-        polygons = [Polygon(create_vertice_from_2darray(x, y, i)) for i in range(nb)]
         for i in range(nb):
             # If observation already in one track, we go to the next one
             if used[i]:
                 continue
-            self.follow_obs(i, track_id, used, ids, polygons, *time_index, window)
+            self.follow_obs(i, track_id, used, ids, x, y, *time_index, window)
             track_id += 1
             # Search a possible ancestor
-            self.previous_obs(i, ids, polygons, *time_index, window)
+            self.previous_obs(i, ids, x, y, *time_index, window)
 
     @classmethod
     def follow_obs(cls, i_next, track_id, used, ids, *args):
@@ -676,7 +674,7 @@ def follow_obs(cls, i_next, track_id, used, ids, *args):
             i_next = i_next_
 
     @staticmethod
-    def previous_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
+    def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur - 1 - time_ref, max(time_cur - window - time_ref, 0)
         for t_step in range(t0, t1 - 1, -1):
@@ -685,7 +683,12 @@ def previous_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
             if i0 == i1:
                 continue
             # Intersection / union, to be able to separte in case of multiple inside
-            c = polygon_overlap(polygons[i_current], polygons[i0:i1], minimal_area=True)
+            xi, yi, xj, yj = x[[i_current]], y[[i_current]], x[i0:i1], y[i0:i1]
+            ii, ij = bbox_intersection(xi, yi, xj, yj)
+            if len(ii) == 0:
+                continue
+            c = zeros(len(xj))
+            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True)
             # We remove low overlap
             c[c < 0.1] = 0
             # We get index of maximal overlap
@@ -699,7 +702,7 @@ def previous_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
             break
 
     @staticmethod
-    def next_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
+    def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
         time_max = time_e.shape[0] - 1
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur + 1 - time_ref, min(time_cur + window - time_ref, time_max)
@@ -711,7 +714,12 @@ def next_obs(i_current, ids, polygons, time_s, time_e, time_ref, window):
             if i0 == i1:
                 continue
             # Intersection / union, to be able to separte in case of multiple inside
-            c = polygon_overlap(polygons[i_current], polygons[i0:i1], minimal_area=True)
+            xi, yi, xj, yj = x[[i_current]], y[[i_current]], x[i0:i1], y[i0:i1]
+            ii, ij = bbox_intersection(xi, yi, xj, yj)
+            if len(ii) == 0:
+                continue
+            c = zeros(len(xj))
+            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True)
             # We remove low overlap
             c[c < 0.1] = 0
             # We get index of maximal overlap

From 0a0b061f15bc1a421bd67c03a91cd7f059726994 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 12 Jan 2021 15:03:46 +0100
Subject: [PATCH 205/441] Allow eddyAnim to display field in color

---
 CHANGELOG.rst                    |   1 +
 src/py_eddy_tracker/appli/gui.py | 100 ++++++++++++++++++++++++++-----
 2 files changed, 86 insertions(+), 15 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 256aed80..70260234 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -19,6 +19,7 @@ Added
 - Add a filter option in EddyId to be able to remove fine scale (like noise) with same filter order than high scale
   filter
 - Add **EddyQuickCompare** to have few figures about several datasets in comparison based on match function
+- Color field for contour in **EddyAnim** could be choose
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index a5b58b30..85dc6577 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -3,20 +3,24 @@
 Entry point of graphic user interface
 """
 
+import logging
 from datetime import datetime
+from itertools import chain
 
 from matplotlib import pyplot
 from matplotlib.collections import LineCollection
-from numpy import arange, empty, where
+from numpy import where
 
 from .. import EddyParser
-from ..generic import flatten_line_matrix
 from ..gui import GUI
 from ..observations.tracking import TrackEddiesObservations
 from ..poly import create_vertice
 
+logger = logging.getLogger("pet")
+
 
 class Anim:
+
     def __init__(
         self, eddy, intern=False, sleep_event=0.1, graphic_information=False, **kwargs
     ):
@@ -29,11 +33,32 @@ def __init__(
         self.period = self.eddy.period
         self.sleep_event = sleep_event
         self.mappables = list()
+        self.field_color = None
+        self.time_field = False
         self.setup(**kwargs)
 
-    def setup(self, cmap="jet", nb_step=25, figsize=(8, 6), **kwargs):
-        cmap = pyplot.get_cmap(cmap)
-        self.colors = cmap(arange(nb_step + 1) / nb_step)
+    def setup(
+        self,
+        cmap="jet",
+        lut=None,
+        field_color="time",
+        range_color=(None, None),
+        nb_step=25,
+        figsize=(8, 6),
+        **kwargs,
+    ):
+        self.field_color = self.eddy[field_color].astype("f4")
+        rg = range_color
+        if rg[0] is None and rg[1] is None and field_color == "time":
+            self.time_field = True
+        else:
+            rg = (
+                self.field_color.min() if rg[0] is None else rg[0],
+                self.field_color.max() if rg[1] is None else rg[1],
+            )
+            self.field_color = (self.field_color - rg[0]) / (rg[1] - rg[0])
+
+        self.colors = pyplot.get_cmap(cmap, lut=lut)
         self.nb_step = nb_step
 
         x_min, x_max = self.x_core.min() - 2, self.x_core.max() + 2
@@ -51,6 +76,8 @@ def setup(self, cmap="jet", nb_step=25, figsize=(8, 6), **kwargs):
         # init mappable
         self.txt = self.ax.text(x_min + 0.05 * d_x, y_min + 0.05 * d_y, "", zorder=10)
         self.segs = list()
+        self.t_segs = list()
+        self.c_segs = list()
         self.contour = LineCollection([], zorder=1)
         self.ax.add_collection(self.contour)
 
@@ -89,8 +116,9 @@ def show(self, infinity_loop=False):
                     if dt < 0:
                         # self.sleep_event = dt_draw * 1.01
                         dt = 1e-10
+                if dt == 0:
+                    dt = 1e-10
                 self.fig.canvas.start_event_loop(dt)
-
                 if self.now > t1:
                     break
             if infinity_loop:
@@ -118,20 +146,41 @@ def func_animation(self, frame):
     def update(self):
         m = self.t == self.now
         if m.sum():
-            self.segs.append(
-                create_vertice(
-                    flatten_line_matrix(self.x[m]), flatten_line_matrix(self.y[m])
+            segs = list()
+            t = list()
+            c = list()
+            for i in where(m)[0]:
+                segs.append(create_vertice(self.x[i], self.y[i]))
+                c.append(self.field_color[i])
+                t.append(self.now)
+            self.segs.append(segs)
+            self.c_segs.append(c)
+            self.t_segs.append(t)
+        self.contour.set_paths(chain(*self.segs))
+        if self.time_field:
+            self.contour.set_color(
+                self.colors(
+                    [
+                        (self.nb_step - self.now + i) / self.nb_step
+                        for i in chain(*self.c_segs)
+                    ]
                 )
             )
         else:
-            self.segs.append(empty((0, 2)))
-        self.contour.set_paths(self.segs)
-        self.contour.set_color(self.colors[-len(self.segs) :])
-        self.contour.set_lw(arange(len(self.segs)) / len(self.segs) * 2.5)
+            self.contour.set_color(self.colors(list(chain(*self.c_segs))))
+        # linewidth will be link to time delay
+        self.contour.set_lw(
+            [
+                (1 - (self.now - i) / self.nb_step) * 2.5 if i <= self.now else 0
+                for i in chain(*self.t_segs)
+            ]
+        )
+        # Update date txt and info
         txt = f"{self.now}"
         if self.graphic_informations:
             txt += f"- {1/self.sleep_event:.0f} frame/s"
         self.txt.set_text(txt)
+        # Update id txt
         for i in where(m)[0]:
             mappable = self.ax.text(
                 self.x_core[i], self.y_core[i], self.track[i], fontsize=8
@@ -143,6 +192,8 @@ def update(self):
         # Remove first segment to keep only T contour
         if len(self.segs) > self.nb_step:
             self.segs.pop(0)
+            self.t_segs.pop(0)
+            self.c_segs.pop(0)
 
     def draw_contour(self):
         # select contour for this time step
@@ -165,8 +216,13 @@ def keyboard(self, event):
         elif event.key == "right" and self.pause:
             self.next()
         elif event.key == "left" and self.pause:
+            # we remove 2 step to add 1 so we rewind of only one
             self.segs.pop(-1)
             self.segs.pop(-1)
+            self.t_segs.pop(-1)
+            self.t_segs.pop(-1)
+            self.c_segs.pop(-1)
+            self.c_segs.pop(-1)
             self.prev()
 
 
@@ -197,11 +253,22 @@ def anim():
         action="store_true",
         help="Longitude will be centered on first obs, if there are only one group.",
     )
+    parser.add_argument(
+        "--field", default="time", help="Field use to color contour instead of time"
+    )
+    parser.add_argument(
+        "--vmin", default=None, type=float, help="Inferior bound to color contour"
+    )
+    parser.add_argument(
+        "--vmax", default=None, type=float, help="Upper bound to color contour"
+    )
     args = parser.parse_args()
-    variables = ["time", "track", "longitude", "latitude"]
+    variables = ["time", "track", "longitude", "latitude", args.field]
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
 
-    eddies = TrackEddiesObservations.load_file(args.filename, include_vars=variables)
+    eddies = TrackEddiesObservations.load_file(
+        args.filename, include_vars=set(variables)
+    )
     if not args.all:
         if len(args.id) == 0:
             raise Exception(
@@ -222,6 +289,9 @@ def anim():
         sleep_event=args.time_sleep,
         cmap=args.cmap,
         nb_step=args.keep_step,
+        field_color=args.field,
+        range_color=(args.vmin, args.vmax),
+        graphic_information=logger.getEffectiveLevel() == logging.DEBUG,
     )
     a.show(infinity_loop=args.infinity_loop)
 

From 16438f2dfc6ca3e48c420670e4260b76714e575e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 12 Jan 2021 17:04:15 +0100
Subject: [PATCH 206/441] Option for network segmentation

---
 src/py_eddy_tracker/appli/network.py         |  2 +-
 src/py_eddy_tracker/observations/tracking.py | 22 ++++++++++----------
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index c692262e..6b0927bd 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -50,7 +50,7 @@ def divide_network():
         args.input,
         include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
-    ids = e.split_network(intern=args.intern, window=args.window)
+    ids = e.split_network(intern=args.intern, window=args.window, minimal_area=False)
     e = e.add_fields(("sub_track",))
     e.sub_track[:] = ids["track"]
     e.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 55c67f74..b30b3d05 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -626,7 +626,7 @@ def split_network(self, intern=True, **kwargs):
             local_ids["next_obs"][m] += i_s
         return ids
 
-    def set_tracks(self, x, y, ids, window):
+    def set_tracks(self, x, y, ids, window, **kwargs):
         """
         Will split one group in tracks
 
@@ -645,20 +645,20 @@ def set_tracks(self, x, y, ids, window):
             # If observation already in one track, we go to the next one
             if used[i]:
                 continue
-            self.follow_obs(i, track_id, used, ids, x, y, *time_index, window)
+            self.follow_obs(i, track_id, used, ids, x, y, *time_index, window, **kwargs)
             track_id += 1
             # Search a possible ancestor
-            self.previous_obs(i, ids, x, y, *time_index, window)
+            self.previous_obs(i, ids, x, y, *time_index, window, **kwargs)
 
     @classmethod
-    def follow_obs(cls, i_next, track_id, used, ids, *args):
+    def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
         while i_next != -1:
             # Flag
             used[i_next] = True
             # Assign id
             ids["track"][i_next] = track_id
             # Search next
-            i_next_ = cls.next_obs(i_next, ids, *args)
+            i_next_ = cls.next_obs(i_next, ids, *args, **kwargs)
             if i_next_ == -1:
                 break
             ids["next_obs"][i_next] = i_next_
@@ -674,7 +674,7 @@ def follow_obs(cls, i_next, track_id, used, ids, *args):
             i_next = i_next_
 
     @staticmethod
-    def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
+    def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur - 1 - time_ref, max(time_cur - window - time_ref, 0)
         for t_step in range(t0, t1 - 1, -1):
@@ -688,9 +688,9 @@ def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
             if len(ii) == 0:
                 continue
             c = zeros(len(xj))
-            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True)
+            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
             # We remove low overlap
-            c[c < 0.1] = 0
+            c[c < 0.01] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]
@@ -702,7 +702,7 @@ def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
             break
 
     @staticmethod
-    def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
+    def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
         time_max = time_e.shape[0] - 1
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur + 1 - time_ref, min(time_cur + window - time_ref, time_max)
@@ -719,9 +719,9 @@ def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window):
             if len(ii) == 0:
                 continue
             c = zeros(len(xj))
-            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=True)
+            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
             # We remove low overlap
-            c[c < 0.1] = 0
+            c[c < 0.01] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]

From d5b460d8eed5b1d752e1a8ccfb09f4336eb66d32 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 12 Jan 2021 17:16:03 +0100
Subject: [PATCH 207/441] Save anim in video

---
 CHANGELOG.rst                    |  1 +
 src/py_eddy_tracker/appli/gui.py | 12 +++++++++---
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 70260234..c25d1765 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -20,6 +20,7 @@ Added
   filter
 - Add **EddyQuickCompare** to have few figures about several datasets in comparison based on match function
 - Color field for contour in **EddyAnim** could be choose
+- Save EddyAnim in mp4
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 85dc6577..16b7274c 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -8,8 +8,9 @@
 from itertools import chain
 
 from matplotlib import pyplot
+from matplotlib.animation import FuncAnimation
 from matplotlib.collections import LineCollection
-from numpy import where
+from numpy import arange, where
 
 from .. import EddyParser
 from ..gui import GUI
@@ -20,7 +21,6 @@
 
 
 class Anim:
-
     def __init__(
         self, eddy, intern=False, sleep_event=0.1, graphic_information=False, **kwargs
     ):
@@ -262,6 +262,7 @@ def anim():
     parser.add_argument(
         "--vmax", default=None, type=float, help="Upper bound to color contour"
     )
+    parser.add_argument("--avi", help="Filename to save animation (avi)")
     args = parser.parse_args()
     variables = ["time", "track", "longitude", "latitude", args.field]
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
@@ -293,7 +294,12 @@ def anim():
         range_color=(args.vmin, args.vmax),
         graphic_information=logger.getEffectiveLevel() == logging.DEBUG,
     )
-    a.show(infinity_loop=args.infinity_loop)
+    if args.avi is None:
+        a.show(infinity_loop=args.infinity_loop)
+    else:
+        kwargs = dict(frames=arange(*a.period), interval=50)
+        ani = FuncAnimation(a.fig, a.func_animation, **kwargs)
+        ani.save(args.avi, fps=30, extra_args=["-vcodec", "libx264"])
 
 
 def gui_parser():

From ee5de9e3bd2a510509ebf0c80afb1a493128ab05 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Wed, 13 Jan 2021 16:18:42 +0100
Subject: [PATCH 208/441] add comments (#46)

* Correction of global indexation, Add comments
* Add comments
---
 src/py_eddy_tracker/__init__.py              |  4 +-
 src/py_eddy_tracker/observations/tracking.py | 92 +++++++++++---------
 src/py_eddy_tracker/poly.py                  |  6 +-
 3 files changed, 58 insertions(+), 44 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index d184d551..19e76f61 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -197,7 +197,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_east",
             axis="X",
-            comment="Longitude center of the fitted circle",
+            comment="Longitude center of the fit circle",
             long_name="Eddy Center Longitude",
             standard_name="longitude",
         ),
@@ -214,7 +214,7 @@ def parse_args(self, *args, **kwargs):
             axis="Y",
             long_name="Eddy Center Latitude",
             standard_name="latitude",
-            comment="Latitude center of the fitted circle",
+            comment="Latitude center of the fit circle",
         ),
     ),
     lon_max=dict(
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index b30b3d05..7113c324 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-Class to manage observations gathered in track
+Class to manage observations gathered in trajectories
 """
 import logging
 from datetime import datetime, timedelta
@@ -123,7 +123,7 @@ def __repr__(self):
         return content
 
     def add_distance(self):
-        """Add a field of distance (m) between to consecutive observation, 0 for the last observation of each track"""
+        """Add a field of distance (m) between two consecutive observations, 0 for the last observation of each track"""
         if "distance_next" in self.observations.dtype.descr:
             return self
         new = self.add_fields(("distance_next",))
@@ -181,7 +181,7 @@ def filled_by_interpolation(self, mask):
             )
 
     def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
-        """Select eddies which are longer than nb_min"""
+        """Select the trajectories longer than nb_min"""
         mask = nb_obs >= nb_min
         nb_obs_select = mask.sum()
         logger.info("Selection of %d observations", nb_obs_select)
@@ -226,9 +226,9 @@ def set_global_attr_netcdf(self, h_nc):
 
     def extract_with_period(self, period, **kwargs):
         """
-        Extract with a period
+        Extract within a time period
 
-        :param (int,int) period: two date to define period, must be specify from 1/1/1950
+        :param (int,int) period: two dates to define the period, must be specify from 1/1/1950
         :param dict kwargs: look at :py:meth:`extract_with_mask`
         :return: Return all eddy tracks which are in bounds
         :rtype: TrackEddiesObservations
@@ -251,9 +251,9 @@ def extract_with_period(self, period, **kwargs):
 
     def get_azimuth(self, equatorward=False):
         """
-        Return azimuth for each tracks.
+        Return azimuth for each track.
 
-        Azimuth is compute with first and last observation
+        Azimuth is computed with first and last observation
 
         :param bool equatorward: If True,  Poleward are positive and equatorward negative
         :rtype: array
@@ -285,7 +285,7 @@ def compute_index(self):
         """
         if self.__first_index_of_track is None:
             s = self.tracks.max() + 1
-            # Doesn't work => core dump with numba, maybe he wait i8 instead of u4
+            # Doesn't work => core dump with numba, maybe he wants i8 instead of u4
             # self.__first_index_of_track = -ones(s, self.tracks.dtype)
             # self.__obs_by_track = zeros(s, self.observation_number.dtype)
             self.__first_index_of_track = -ones(s, "i8")
@@ -333,12 +333,12 @@ def nb_obs_by_track(self):
 
     @property
     def lifetime(self):
-        """Return for each observation lifetime"""
+        """Return lifetime for each observation"""
         return self.nb_obs_by_track.repeat(self.nb_obs_by_track)
 
     @property
     def age(self):
-        """Return for each observation age in %, will be [0:100]"""
+        """Return age in % for each observation, will be [0:100]"""
         return self.n.astype("f4") / (self.lifetime - 1) * 100.0
 
     def extract_ids(self, tracks):
@@ -347,10 +347,10 @@ def extract_ids(self, tracks):
 
     def extract_toward_direction(self, west=True, delta_lon=None):
         """
-        Get eddy which go in same direction
+        Get trajectories going in the same direction
 
-        :param bool west: Only eastward eddy if True return westward
-        :param None,float delta_lon: Only eddy with more than delta_lon span in longitude
+        :param bool west: Only eastward eddies if True return westward
+        :param None,float delta_lon: Only eddies with more than delta_lon span in longitude
         :return: Only eastern eddy
         :rtype: __class__
 
@@ -397,10 +397,10 @@ def extract_in_direction(self, direction, value=0):
 
     def extract_with_length(self, bounds):
         """
-        Return all observations in [b0:b1]
+        Return the observations within trajectories lasting between [b0:b1]
 
-        :param (int,int) bounds: length min and max of selected eddies, if use of -1 this bound is not used
-        :return: Return all eddy tracks which have length between bounds
+        :param (int,int) bounds: length min and max of the desired trajectories, if -1 this bound is not used
+        :return: Return all trajectories having length between bounds
         :rtype: TrackEddiesObservations
 
         .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_length
@@ -460,11 +460,11 @@ def extract_with_mask(
         Extract a subset of observations
 
         :param array(bool) mask: mask to select observations
-        :param bool full_path: extract full path if only one part is selected
-        :param bool remove_incomplete: delete path which are not fully selected
-        :param bool compress_id: resample track number to use a little range
-        :param bool reject_virtual: if track are only virtual in selection we remove track
-        :return: same object with selected observations
+        :param bool full_path: extract the full trajectory if only one part is selected
+        :param bool remove_incomplete: delete trajectory if not fully selected
+        :param bool compress_id: resample trajectory number to use a smaller range
+        :param bool reject_virtual: if only virtual are selected, the trajectory is removed
+        :return: same object with the selected observations
         :rtype: self.__class__
         """
         if full_path and remove_incomplete:
@@ -509,7 +509,9 @@ def re_reference_index(index, ref):
 
     def shape_polygon(self, intern=False):
         """
-        Get polygons which enclosed each track
+        Get the polygon enclosing each trajectory.
+
+        The polygon merges the non-overlapping bounds of the specified contours
 
         :param bool intern: If True use speed contour instead of effective contour
         :rtype: list(array, array)
@@ -519,9 +521,9 @@ def shape_polygon(self, intern=False):
 
     def display_shape(self, ax, ref=None, intern=False, **kwargs):
         """
-        This function will draw shape of each track
+        This function will draw the shape of each trajectory
 
-        :param matplotlib.axes.Axes ax: ax where drawed
+        :param matplotlib.axes.Axes ax: ax to draw
         :param float,int ref: if defined all coordinates will be wrapped with ref like west boundary
         :param bool intern: If True use speed contour instead of effective contour
         :param dict kwargs: keyword arguments for Axes.plot
@@ -546,10 +548,10 @@ def display_shape(self, ax, ref=None, intern=False, **kwargs):
 
     def close_tracks(self, other, nb_obs_min=10, **kwargs):
         """
-        Get close from another atlas.
+        Get close trajectories from another atlas.
 
         :param self other: Atlas to compare
-        :param int nb_obs_min: Minimal number of overlap for one track
+        :param int nb_obs_min: Minimal number of overlap for one trajectory
         :param dict kwargs: keyword arguments for match function
         :return: return other atlas reduce to common track with self
 
@@ -576,10 +578,10 @@ def format_label(self, label):
 
     def plot(self, ax, ref=None, **kwargs):
         """
-        This function will draw path of each track
+        This function will draw path of each trajectory
 
-        :param matplotlib.axes.Axes ax: ax where drawed
-        :param float,int ref: if defined all coordinates will be wrapped with ref like west boundary
+        :param matplotlib.axes.Axes ax: ax to draw
+        :param float,int ref: if defined, all coordinates will be wrapped with ref like west boundary
         :param dict kwargs: keyword arguments for Axes.plot
         :return: matplotlib mappable
         """
@@ -594,7 +596,7 @@ def plot(self, ax, ref=None, **kwargs):
         return ax.plot(x, y, **kwargs)
 
     def split_network(self, intern=True, **kwargs):
-        """Divide each group in track"""
+        """Return each group (network) divided in segments"""
         track_s, track_e, track_ref = build_index(self.tracks)
         ids = empty(
             len(self),
@@ -609,9 +611,13 @@ def split_network(self, intern=True, **kwargs):
             ],
         )
         ids["group"], ids["time"] = self.tracks, self.time
-        # To store id track
+        # Initialisation
+        # To store the id of the segments, the backward and forward cost associations
         ids["track"], ids["previous_cost"], ids["next_cost"] = 0, 0, 0
+        # To store the indexes of the backward and forward observations associated
         ids["previous_obs"], ids["next_obs"] = -1, -1
+        # At the end, ids["previous_obs"] == -1 means the start of a non-split segment
+        # and ids["next_obs"] == -1 means the end of a non-merged segment
 
         xname, yname = self.intern(intern)
         for i_s, i_e in zip(track_s, track_e):
@@ -619,16 +625,18 @@ def split_network(self, intern=True, **kwargs):
                 continue
             sl = slice(i_s, i_e)
             local_ids = ids[sl]
+            # built segments with local indices
             self.set_tracks(self[xname][sl], self[yname][sl], local_ids, **kwargs)
-            m = local_ids["previous_obs"] == -1
+            # shift the local indices to the total indexation for the used observations
+            m = local_ids["previous_obs"] != -1
             local_ids["previous_obs"][m] += i_s
-            m = local_ids["next_obs"] == -1
+            m = local_ids["next_obs"] != -1
             local_ids["next_obs"][m] += i_s
         return ids
 
     def set_tracks(self, x, y, ids, window, **kwargs):
         """
-        Will split one group in tracks
+        Will split one group (network) in segments
 
         :param array x: coordinates of group
         :param array y: coordinates of group
@@ -640,18 +648,21 @@ def set_tracks(self, x, y, ids, window, **kwargs):
         nb = x.shape[0]
         used = zeros(nb, dtype="bool")
         track_id = 1
-        # build all polygon (need to check if wrap is needed)
+        # build all polygons (need to check if wrap is needed)
         for i in range(nb):
-            # If observation already in one track, we go to the next one
+            # If the observation is already in one track, we go to the next one
             if used[i]:
                 continue
+            # Search a possible continuation (forward)
             self.follow_obs(i, track_id, used, ids, x, y, *time_index, window, **kwargs)
             track_id += 1
-            # Search a possible ancestor
+            # Search a possible ancestor (backward)
             self.previous_obs(i, ids, x, y, *time_index, window, **kwargs)
 
     @classmethod
     def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
+        """Associate the observations to the segments"""
+
         while i_next != -1:
             # Flag
             used[i_next] = True
@@ -675,6 +686,8 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
 
     @staticmethod
     def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+        """Backward association of observations to the segments"""
+
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur - 1 - time_ref, max(time_cur - window - time_ref, 0)
         for t_step in range(t0, t1 - 1, -1):
@@ -682,7 +695,7 @@ def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
             # No observation at the time step
             if i0 == i1:
                 continue
-            # Intersection / union, to be able to separte in case of multiple inside
+            # Search for overlaps
             xi, yi, xj, yj = x[[i_current]], y[[i_current]], x[i0:i1], y[i0:i1]
             ii, ij = bbox_intersection(xi, yi, xj, yj)
             if len(ii) == 0:
@@ -703,6 +716,7 @@ def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
 
     @staticmethod
     def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+        """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
         time_cur = ids["time"][i_current]
         t0, t1 = time_cur + 1 - time_ref, min(time_cur + window - time_ref, time_max)
@@ -713,7 +727,7 @@ def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
             # No observation at the time step
             if i0 == i1:
                 continue
-            # Intersection / union, to be able to separte in case of multiple inside
+            # Search for overlaps
             xi, yi, xj, yj = x[[i_current]], y[[i_current]], x[i0:i1], y[i0:i1]
             ii, ij = bbox_intersection(xi, yi, xj, yj)
             if len(ii) == 0:
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 4677e3bf..da39d707 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -452,7 +452,7 @@ def polygon_overlap(p0, p1, minimal_area=False):
 
     :param list(Polygon) p0: List of polygon to compare with p1 list
     :param list(Polygon) p1: List of polygon to compare with p0 list
-    :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
+    :param bool minimal_area: If True, function will compute intersection/smaller polygon, else intersection/union
     :return: Result of cost function
     :rtype: array
     """
@@ -462,10 +462,10 @@ def polygon_overlap(p0, p1, minimal_area=False):
         p_ = p1[i]
         # Area of intersection
         intersection = (p0 & p_).area()
-        # we divide intersection with the little one result from 0 to 1
+        # we divide the intersection by the smaller area, result from 0 to 1
         if minimal_area:
             cost[i] = intersection / min(p0.area(), p_.area())
-        # we divide intersection with polygon merging result from 0 to 1
+        # we divide the intersection by the merged polygons area, result from 0 to 1
         else:
             cost[i] = intersection / (p0 + p_).area()
     return cost

From ac9c14289b3ea19777fcd4d284d005ef80319b74 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 13 Jan 2021 18:00:30 +0100
Subject: [PATCH 209/441] Start basic tools for network manipulation

---
 examples/16_network/pet_relative.py           | 40 ++++++++
 src/py_eddy_tracker/__init__.py               | 24 ++++-
 src/py_eddy_tracker/appli/network.py          |  4 +-
 src/py_eddy_tracker/observations/network.py   | 93 ++++++++++++++++++-
 .../observations/observation.py               | 27 +++++-
 src/py_eddy_tracker/observations/tracking.py  |  4 +-
 6 files changed, 182 insertions(+), 10 deletions(-)
 create mode 100644 examples/16_network/pet_relative.py

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
new file mode 100644
index 00000000..32f87b77
--- /dev/null
+++ b/examples/16_network/pet_relative.py
@@ -0,0 +1,40 @@
+"""
+Network basic manipulation
+==========================
+"""
+
+from matplotlib import pyplot as plt
+
+import py_eddy_tracker.gui
+from py_eddy_tracker import data
+from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+# %%
+# Load data
+# ---------
+# Load data where observations are put in same network but no segmentation
+e = TrackEddiesObservations.load_file(data.get_path("c568803.nc"))
+n = NetworkObservations.from_split_network(e, e.split_network(intern=False, window=5))
+
+# %%
+# Timeline
+# --------
+
+# %%
+# Display timeline
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
+n.display_timeline(ax)
+
+# %%
+# Display timeline with event
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
+n.display_timeline(ax, event=True)
+plt.show()
+
+# %%
+# Keep close relative
+# -------------------
+# First choose an observation in the network
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index d184d551..514f4f46 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -374,15 +374,35 @@ def parse_args(self, *args, **kwargs):
             long_name="Trajectory number", comment="Trajectory identification number"
         ),
     ),
-    sub_track=dict(
+    segment=dict(
         attr_name=None,
-        nc_name="sub_track",
+        nc_name="segment",
         nc_type="uint32",
         nc_dims=("obs",),
         nc_attr=dict(
             long_name="Segment Number", comment="Segment number inside a group"
         ),
     ),
+    previous_obs=dict(
+        attr_name=None,
+        nc_name="previous_obs",
+        nc_type="int32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Previous obs index",
+            comment="Index of previous obs, if there are a spliting",
+        ),
+    ),
+    next_obs=dict(
+        attr_name=None,
+        nc_name="next_obs",
+        nc_type="int32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Next obs index",
+            comment="Index of next obs, if there are a merging",
+        ),
+    ),
     n=dict(
         attr_name=None,
         nc_name="observation_number",
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 6b0927bd..8ac8582f 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -51,6 +51,6 @@ def divide_network():
         include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
     ids = e.split_network(intern=args.intern, window=args.window, minimal_area=False)
-    e = e.add_fields(("sub_track",))
-    e.sub_track[:] = ids["track"]
+    e = e.add_fields(("segment",))
+    e.segment[:] = ids["track"]
     e.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 33fe6469..0a1d023d 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,7 +6,7 @@
 from glob import glob
 
 from numba import njit
-from numpy import arange, array, bincount, empty, uint32, unique
+from numpy import arange, array, bincount, empty, ones, uint32, unique
 
 from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
@@ -58,6 +58,97 @@ def load_contour(self, filename):
         return self.DATA[filename]
 
 
+class NetworkObservations(EddiesObservations):
+
+    __slots__ = tuple()
+
+    NOGROUP = 0
+
+    @property
+    def elements(self):
+        elements = super().elements
+        elements.extend(["track", "segment", "next_obs", "previous_obs"])
+        return list(set(elements))
+
+    @classmethod
+    def from_split_network(cls, group_dataset, indexs, **kwargs):
+        """
+        Build a NetworkObservations object with Group dataset and indexs
+
+        :param TrackEddiesObservations group_dataset: Group dataset
+        :param indexs: result from split_network
+        return NetworkObservations
+        """
+        index_order = indexs.argsort(order=("group", "track", "time"))
+        network = cls.new_like(group_dataset, len(group_dataset), **kwargs)
+        network.sign_type = group_dataset.sign_type
+        for field in group_dataset.elements:
+            if field not in network.elements:
+                continue
+            network[field][:] = group_dataset[field][index_order]
+        network.segment[:] = indexs["track"][index_order]
+        # n & p must be re-index
+        n, p = indexs["next_obs"][index_order], indexs["previous_obs"][index_order]
+        translate = empty(index_order.max() + 1, dtype="i4")
+        translate[index_order] = arange(index_order.shape[0])
+        m = n != -1
+        n[m] = translate[n[m]]
+        m = p != -1
+        p[m] = translate[p[m]]
+        network.next_obs[:] = n
+        network.previous_obs[:] = p
+        return network
+
+    def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=False):
+        pass
+
+    def only_one_network(self):
+        """
+        Raise a warning or error?
+        if there are more than one network
+        """
+        # TODO
+        pass
+
+    def display_timeline(self, ax, event=False):
+        """
+        Must be call on only one network
+        """
+        self.only_one_network()
+        j = 0
+        line_kw = dict(
+            ls="-",
+            marker=".",
+            markersize=6,
+            zorder=1,
+            lw=3,
+        )
+        for i, b0, b1 in self.iter_on("segment"):
+            x = self.time[i]
+            if x.shape[0] == 0:
+                continue
+            y = b0 * ones(x.shape)
+            line = ax.plot(x, y, **line_kw, color=self.COLORS[j % self.NB_COLORS])[0]
+            if event:
+                event_kw = dict(color=line.get_color(), ls="-", zorder=1)
+                i_n, i_p = (
+                    self.next_obs[i.stop - 1],
+                    self.previous_obs[i.start],
+                )
+                if i_n != -1:
+                    ax.plot(
+                        (x[-1], self.time[i_n]), (b0, self.segment[i_n]), **event_kw
+                    )
+                    ax.plot(x[-1], b0, color="k", marker=">", markersize=10, zorder=-1)
+                if i_p != -1:
+                    ax.plot((x[0], self.time[i_p]), (b0, self.segment[i_p]), **event_kw)
+                    ax.plot(x[0], b0, color="k", marker="*", markersize=12, zorder=-1)
+            j += 1
+
+    def insert_virtual(self):
+        pass
+
+
 class Network:
     __slots__ = (
         "window",
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ee9301d0..25efc744 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -144,6 +144,27 @@ class EddiesObservations(object):
         "height_inner_contour",
     ]
 
+    COLORS = [
+        "sienna",
+        "red",
+        "darkorange",
+        "gold",
+        "palegreen",
+        "limegreen",
+        "forestgreen",
+        "mediumblue",
+        "dodgerblue",
+        "lightskyblue",
+        "violet",
+        "blueviolet",
+        "darkmagenta",
+        "darkgrey",
+        "dimgrey",
+        "steelblue",
+    ]
+
+    NB_COLORS = len(COLORS)
+
     def __init__(
         self,
         size=0,
@@ -553,9 +574,9 @@ def __copy__(self):
     def copy(self):
         return self.__copy__()
 
-    @staticmethod
-    def new_like(eddies, new_size: int):
-        return eddies.__class__(
+    @classmethod
+    def new_like(cls, eddies, new_size: int):
+        return cls(
             new_size,
             track_extra_variables=eddies.track_extra_variables,
             track_array_variables=eddies.track_array_variables,
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index b30b3d05..d9f64da9 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -620,9 +620,9 @@ def split_network(self, intern=True, **kwargs):
             sl = slice(i_s, i_e)
             local_ids = ids[sl]
             self.set_tracks(self[xname][sl], self[yname][sl], local_ids, **kwargs)
-            m = local_ids["previous_obs"] == -1
+            m = local_ids["previous_obs"] != -1
             local_ids["previous_obs"][m] += i_s
-            m = local_ids["next_obs"] == -1
+            m = local_ids["next_obs"] != -1
             local_ids["next_obs"][m] += i_s
         return ids
 

From 16691a26faa770c1cace7f32f9ed0d347f9c7086 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 15 Jan 2021 16:50:14 +0100
Subject: [PATCH 210/441] Add tools for network Add option for EddyAnim to make
 video

---
 examples/16_network/pet_relative.py         | 100 ++++++++-
 src/py_eddy_tracker/appli/gui.py            |  15 +-
 src/py_eddy_tracker/appli/network.py        |  16 +-
 src/py_eddy_tracker/observations/network.py | 212 +++++++++++++++++---
 4 files changed, 305 insertions(+), 38 deletions(-)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 32f87b77..8ef7e661 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -23,18 +23,108 @@
 
 # %%
 # Display timeline
-fig = plt.figure(figsize=(15, 8))
+fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
 n.display_timeline(ax)
 
 # %%
-# Display timeline with event
-fig = plt.figure(figsize=(15, 8))
+# Display timeline without event
+fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
-n.display_timeline(ax, event=True)
-plt.show()
+n.display_timeline(ax, event=False)
+
+# %%
+# Parameters timeline
+# -------------------
+kw = dict(s=25, cmap="Spectral_r", zorder=10)
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.54, 0.90, 0.44])
+m = n.scatter_timeline(ax, "radius_e", factor=1e-3, vmin=50, vmax=150, **kw)
+cb = plt.colorbar(
+    m["scatter"], cax=fig.add_axes([0.95, 0.54, 0.01, 0.44]), orientation="vertical"
+)
+cb.set_label("Effective radius (km)")
+
+ax = fig.add_axes([0.04, 0.04, 0.90, 0.44])
+m = n.scatter_timeline(ax, "amplitude", factor=100, vmin=0, vmax=15, **kw)
+cb = plt.colorbar(
+    m["scatter"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.44]), orientation="vertical"
+)
+cb.set_label("Amplitude (cm)")
+
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+m = n.scatter_timeline(ax, "speed_average", factor=100, vmin=0, vmax=40, **kw)
+cb = plt.colorbar(
+    m["scatter"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation="vertical"
+)
+cb.set_label("Maximum speed (cm/s)")
+
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+m = n.scatter_timeline(ax, "radius_s", factor=1e-3, vmin=20, vmax=100, **kw)
+cb = plt.colorbar(
+    m["scatter"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation="vertical"
+)
+cb.set_label("Speed radius (km)")
+
+# %%
+# Remove dead branch
+# ------------------
+# Remove all tiny segment with less than N obs which didn't join two segments
+#
+# .. warning::
+#     Must be explore, no solution to solve all the case
+
+n_clean = n.remove_dead_branch(nobs=51)
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.54, 0.90, 0.40])
+ax.set_title(f"Original network ({n.infos()})")
+n.display_timeline(ax)
+ax = fig.add_axes([0.04, 0.04, 0.90, 0.40])
+ax.set_title(f"Clean network ({n_clean.infos()})")
+_ = n_clean.display_timeline(ax)
 
 # %%
 # Keep close relative
 # -------------------
 # First choose an observation in the network
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+n.display_timeline(ax)
+i = 1100
+obs_args = n.time[i], n.segment[i]
+obs_kw = dict(color="black", markersize=30, marker=".")
+_ = ax.plot(*obs_args, **obs_kw)
+
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+m = n.scatter_timeline(
+    ax, n.obs_relative_order(i), vmin=-1.5, vmax=6.5, cmap=plt.get_cmap("jet", 8), s=10
+)
+ax.plot(*obs_args, **obs_kw)
+cb = plt.colorbar(
+    m["scatter"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation="vertical"
+)
+cb.set_label("Relative order")
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+close_to_i = n.relative(i, order=1)
+ax.set_title(f"Close segments ({close_to_i.infos()})")
+_ = close_to_i.display_timeline(ax)
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+close_to_i = n.relative(i, order=2)
+ax.set_title(f"Close segments ({close_to_i.infos()})")
+_ = close_to_i.display_timeline(ax)
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
+close_to_i = n.relative(i, order=3)
+ax.set_title(f"Close segments ({close_to_i.infos()})")
+_ = close_to_i.display_timeline(ax)
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 16b7274c..9d09b57f 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -4,7 +4,7 @@
 """
 
 import logging
-from datetime import datetime
+from datetime import datetime, timedelta
 from itertools import chain
 
 from matplotlib import pyplot
@@ -176,7 +176,7 @@ def update(self):
             ]
         )
         # Update date txt and info
-        txt = f"{self.now}"
+        txt = f"{(timedelta(int(self.now)) + datetime(1950,1,1)).strftime('%Y/%m/%d')}"
         if self.graphic_informations:
             txt += f"- {1/self.sleep_event:.0f} frame/s"
         self.txt.set_text(txt)
@@ -262,7 +262,7 @@ def anim():
     parser.add_argument(
         "--vmax", default=None, type=float, help="Upper bound to color contour"
     )
-    parser.add_argument("--avi", help="Filename to save animation (avi)")
+    parser.add_argument("--mp4", help="Filename to save animation (mp4)")
     args = parser.parse_args()
     variables = ["time", "track", "longitude", "latitude", args.field]
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
@@ -284,6 +284,10 @@ def anim():
                 (eddies.contour_lon_e.T - eddies.lon + 180) % 360 + eddies.lon - 180
             ).T
 
+    kw = dict()
+    if args.mp4:
+        kw["figsize"] = (16, 9)
+        kw["dpi"] = 120
     a = Anim(
         eddies,
         intern=args.intern,
@@ -293,13 +297,14 @@ def anim():
         field_color=args.field,
         range_color=(args.vmin, args.vmax),
         graphic_information=logger.getEffectiveLevel() == logging.DEBUG,
+        **kw,
     )
-    if args.avi is None:
+    if args.mp4 is None:
         a.show(infinity_loop=args.infinity_loop)
     else:
         kwargs = dict(frames=arange(*a.period), interval=50)
         ani = FuncAnimation(a.fig, a.func_animation, **kwargs)
-        ani.save(args.avi, fps=30, extra_args=["-vcodec", "libx264"])
+        ani.save(args.mp4, fps=30, extra_args=["-vcodec", "libx264"])
 
 
 def gui_parser():
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 8ac8582f..aa4a09cc 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -6,7 +6,7 @@
 import logging
 
 from .. import EddyParser
-from ..observations.network import Network
+from ..observations.network import Network, NetworkObservations
 from ..observations.tracking import TrackEddiesObservations
 
 logger = logging.getLogger("pet")
@@ -50,7 +50,13 @@ def divide_network():
         args.input,
         include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
-    ids = e.split_network(intern=args.intern, window=args.window, minimal_area=False)
-    e = e.add_fields(("segment",))
-    e.segment[:] = ids["track"]
-    e.write_file(filename=args.out)
+    n = NetworkObservations.from_split_network(
+        e, e.split_network(intern=args.intern, window=args.window)
+    )
+    n.write_file(filename=args.out)
+
+
+def subsample_network():
+    parser = EddyParser("Sub sample")
+    parser.add_argument("input", help="input network file")
+    parser.add_argument("out", help="output file")
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0a1d023d..62a04ab2 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -8,6 +8,7 @@
 from numba import njit
 from numpy import arange, array, bincount, empty, ones, uint32, unique
 
+from ..generic import build_index
 from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations
@@ -89,18 +90,75 @@ def from_split_network(cls, group_dataset, indexs, **kwargs):
         network.segment[:] = indexs["track"][index_order]
         # n & p must be re-index
         n, p = indexs["next_obs"][index_order], indexs["previous_obs"][index_order]
-        translate = empty(index_order.max() + 1, dtype="i4")
+        # we add 2 for -1 index return index -1
+        translate = -ones(index_order.max() + 2, dtype="i4")
         translate[index_order] = arange(index_order.shape[0])
-        m = n != -1
-        n[m] = translate[n[m]]
-        m = p != -1
-        p[m] = translate[p[m]]
-        network.next_obs[:] = n
-        network.previous_obs[:] = p
+        network.next_obs[:] = translate[n]
+        network.previous_obs[:] = translate[p]
         return network
 
+    def infos(self, label=""):
+        return f"{len(self)} obs {unique(self.segment).shape[0]} segments"
+
+    def obs_relative_order(self, i_obs):
+        self.only_one_network()
+        return self.segment_relative_order(self.segment[i_obs])
+
+    def connexions(self):
+        self.only_one_network()
+        segments_connexion = dict()
+
+        def add_seg(father, child):
+            if father not in segments_connexion:
+                segments_connexion[father] = list()
+            segments_connexion[father].append(child)
+
+        for i, seg, _ in self.iter_on("segment"):
+            if i.start == i.stop:
+                continue
+            i_p, i_n = self.previous_obs[i.start], self.next_obs[i.stop - 1]
+            # segment of interaction
+            p_seg, n_seg = self.segment[i_p], self.segment[i_n]
+            # Where segment are called
+            if i_p != -1:
+                add_seg(p_seg, seg)
+                add_seg(seg, p_seg)
+            if i_n != -1:
+                add_seg(n_seg, seg)
+                add_seg(seg, n_seg)
+        return segments_connexion
+
+    @classmethod
+    def __close_segment(cls, father, shift, connexions, distance):
+        i_father = father - shift
+        if distance[i_father] == -1:
+            distance[i_father] = 0
+        d_target = distance[i_father] + 1
+        for son in connexions.get(father, list()):
+            i_son = son - shift
+            d_son = distance[i_son]
+            if d_son == -1 or d_son > d_target:
+                distance[i_son] = d_target
+            else:
+                continue
+            cls.__close_segment(son, shift, connexions, distance)
+
+    def segment_relative_order(self, seg_origine):
+        i_s, i_e, i_ref = build_index(self.segment)
+        segment_connexions = self.connexions()
+        relative_tr = -ones(i_s.shape, dtype="i4")
+        self.__close_segment(seg_origine, i_ref, segment_connexions, relative_tr)
+        d = -ones(self.shape)
+        for i0, i1, v in zip(i_s, i_e, relative_tr):
+            if i0 == i1:
+                continue
+            d[i0:i1] = v
+        return d
+
     def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=False):
-        pass
+        d = self.segment_relative_order(self.segment[i_obs])
+        m = (d <= order) * (d != -1)
+        return self.extract_with_mask(m)
 
     def only_one_network(self):
         """
@@ -110,7 +168,7 @@ def only_one_network(self):
         # TODO
         pass
 
-    def display_timeline(self, ax, event=False):
+    def display_timeline(self, ax, event=True):
         """
         Must be call on only one network
         """
@@ -123,31 +181,139 @@ def display_timeline(self, ax, event=False):
             zorder=1,
             lw=3,
         )
+        mappables = dict(lines=list())
+        if event:
+            mappables.update(self.event_timeline(ax))
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
             if x.shape[0] == 0:
                 continue
             y = b0 * ones(x.shape)
             line = ax.plot(x, y, **line_kw, color=self.COLORS[j % self.NB_COLORS])[0]
-            if event:
-                event_kw = dict(color=line.get_color(), ls="-", zorder=1)
-                i_n, i_p = (
-                    self.next_obs[i.stop - 1],
-                    self.previous_obs[i.start],
-                )
-                if i_n != -1:
-                    ax.plot(
-                        (x[-1], self.time[i_n]), (b0, self.segment[i_n]), **event_kw
-                    )
-                    ax.plot(x[-1], b0, color="k", marker=">", markersize=10, zorder=-1)
-                if i_p != -1:
-                    ax.plot((x[0], self.time[i_p]), (b0, self.segment[i_p]), **event_kw)
-                    ax.plot(x[0], b0, color="k", marker="*", markersize=12, zorder=-1)
+            mappables["lines"].append(line)
+            j += 1
+
+        return mappables
+
+    def event_timeline(self, ax):
+        j = 0
+        # TODO : fill mappables dict
+        mappables = dict()
+        for i, b0, b1 in self.iter_on("segment"):
+            x = self.time[i]
+            if x.shape[0] == 0:
+                continue
+            event_kw = dict(color=self.COLORS[j % self.NB_COLORS], ls="-", zorder=1)
+            i_n, i_p = (
+                self.next_obs[i.stop - 1],
+                self.previous_obs[i.start],
+            )
+            if i_n != -1:
+                ax.plot((x[-1], self.time[i_n]), (b0, self.segment[i_n]), **event_kw)
+                ax.plot(x[-1], b0, color="k", marker=">", markersize=10, zorder=-1)
+            if i_p != -1:
+                ax.plot((x[0], self.time[i_p]), (b0, self.segment[i_p]), **event_kw)
+                ax.plot(x[0], b0, color="k", marker="*", markersize=12, zorder=-1)
             j += 1
+        return mappables
+
+    def scatter_timeline(self, ax, name, factor=1, event=True, **kwargs):
+        """
+        Must be call on only one network
+        """
+        self.only_one_network()
+        mappables = dict()
+        if event:
+            mappables.update(self.event_timeline(ax))
+        if "c" not in kwargs:
+            v = self.parse_varname(name)
+            kwargs["c"] = v * factor
+        mappables["scatter"] = ax.scatter(self.time, self.segment, **kwargs)
+        return mappables
 
     def insert_virtual(self):
         pass
 
+    def merging_event(self):
+        pass
+
+    def spliting_event(self):
+        pass
+
+    def fully_connected(self):
+        self.only_one_network()
+
+    def remove_dead_branch(self, nobs=3):
+        """"""
+        # TODO: bug when spliting
+        self.only_one_network()
+
+        segments_keep = list()
+        interaction_segments = dict()
+        segments_connexion = dict()
+        for i, b0, b1 in self.iter_on("segment"):
+            nb = i.stop - i.start
+            i_p, i_n = self.previous_obs[i.start], self.next_obs[i.stop - 1]
+            seg = self.segment[i.start]
+            # segment of interaction
+            p_seg, n_seg = self.segment[i_p], self.segment[i_n]
+            if nb >= nobs:
+                segments_keep.append(seg)
+            else:
+                interaction_segments[seg] = (
+                    p_seg if i_p != -1 else -1,
+                    n_seg if i_n != -1 else -1,
+                )
+            # Where segment are called
+            if i_p != -1:
+                if p_seg not in segments_connexion:
+                    segments_connexion[p_seg] = list()
+                segments_connexion[p_seg].append(seg)
+            if i_n != -1:
+                if n_seg not in segments_connexion:
+                    segments_connexion[n_seg] = list()
+                segments_connexion[n_seg].append(seg)
+        print(interaction_segments)
+        print(segments_connexion)
+        print(segments_keep)
+        return self.extract_segment(tuple(segments_keep))
+
+    def extract_segment(self, segments):
+        mask = ones(self.shape, dtype="bool")
+        for i, b0, b1 in self.iter_on("segment"):
+            if b0 not in segments:
+                mask[i] = False
+        return self.extract_with_mask(mask)
+
+    def extract_with_mask(self, mask):
+        """
+        Extract a subset of observations.
+
+        :param array(bool) mask: mask to select observations
+        :return: same object with selected observations
+        :rtype: self
+        """
+        nb_obs = mask.sum()
+        new = self.__class__.new_like(self, nb_obs)
+        new.sign_type = self.sign_type
+        if nb_obs == 0:
+            logger.warning("Empty dataset will be created")
+        else:
+            for field in self.obs.dtype.descr:
+                if field in ("next_obs", "previous_obs"):
+                    continue
+                logger.debug("Copy of field %s ...", field)
+                var = field[0]
+                new.obs[var] = self.obs[var][mask]
+            # n & p must be re-index
+            n, p = self.next_obs[mask], self.previous_obs[mask]
+            # we add 2 for -1 index return index -1
+            translate = -ones(len(self) + 1, dtype="i4")
+            translate[:-1][mask] = arange(nb_obs)
+            new.next_obs[:] = translate[n]
+            new.previous_obs[:] = translate[p]
+        return new
+
 
 class Network:
     __slots__ = (

From 3df15b9e552273e71638b55133bf1f427db38627 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 18 Jan 2021 12:01:39 +0100
Subject: [PATCH 211/441] Add method to list merging/spliting event from
 network

---
 examples/16_network/pet_relative.py         | 51 +++++++++++---
 src/py_eddy_tracker/observations/network.py | 74 ++++++++++++++++++++-
 2 files changed, 113 insertions(+), 12 deletions(-)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 8ef7e661..51402ba4 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -15,6 +15,11 @@
 # ---------
 # Load data where observations are put in same network but no segmentation
 e = TrackEddiesObservations.load_file(data.get_path("c568803.nc"))
+# FIXME : Must be rewrote
+e.lon[:] = (e.lon + 180) % 360 - 180
+e.contour_lon_e[:] = ((e.contour_lon_e.T - e.lon + 180) % 360 - 180 + e.lon).T
+e.contour_lon_s[:] = ((e.contour_lon_s.T - e.lon + 180) % 360 - 180 + e.lon).T
+##############
 n = NetworkObservations.from_split_network(e, e.split_network(intern=False, window=5))
 
 # %%
@@ -113,18 +118,46 @@
 # %%
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
-close_to_i = n.relative(i, order=1)
-ax.set_title(f"Close segments ({close_to_i.infos()})")
-_ = close_to_i.display_timeline(ax)
+close_to_i1 = n.relative(i, order=1)
+ax.set_title(f"Close segments ({close_to_i1.infos()})")
+_ = close_to_i1.display_timeline(ax)
 # %%
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
-close_to_i = n.relative(i, order=2)
-ax.set_title(f"Close segments ({close_to_i.infos()})")
-_ = close_to_i.display_timeline(ax)
+close_to_i2 = n.relative(i, order=2)
+ax.set_title(f"Close segments ({close_to_i2.infos()})")
+_ = close_to_i2.display_timeline(ax)
 # %%
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
-close_to_i = n.relative(i, order=3)
-ax.set_title(f"Close segments ({close_to_i.infos()})")
-_ = close_to_i.display_timeline(ax)
+close_to_i3 = n.relative(i, order=3)
+ax.set_title(f"Close segments ({close_to_i3.infos()})")
+_ = close_to_i3.display_timeline(ax)
+
+# %%
+# Display track on map
+# --------------------
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+close_to_i2.plot(ax)
+_ = ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+
+# %%
+# Get merging event
+# -----------------
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+merging = close_to_i2.merging_event()
+merging.display(ax)
+ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+merging
+
+# %%
+# Get spliting event
+# ------------------
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+spliting = close_to_i2.spliting_event()
+spliting.display(ax)
+ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+spliting
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 62a04ab2..b23bf0d3 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -8,7 +8,7 @@
 from numba import njit
 from numpy import arange, array, bincount, empty, ones, uint32, unique
 
-from ..generic import build_index
+from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations
@@ -232,16 +232,84 @@ def scatter_timeline(self, ax, name, factor=1, event=True, **kwargs):
         return mappables
 
     def insert_virtual(self):
+        # TODO
         pass
 
     def merging_event(self):
-        pass
+        indices = list()
+        for i, b0, b1 in self.iter_on("segment"):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            i_n = self.next_obs[i.stop - 1]
+            if i_n != -1:
+                indices.append(i.stop - 1)
+        indices = list(set(indices))
+        nb = len(indices)
+        new = EddiesObservations(
+            nb,
+            track_extra_variables=self.track_extra_variables,
+            track_array_variables=self.track_array_variables,
+            array_variables=self.array_variables,
+            only_variables=self.only_variables,
+            raw_data=self.raw_data,
+        )
+
+        for k in new.obs.dtype.names:
+            new[k][:] = self[k][indices]
+        new.sign_type = self.sign_type
+        return new
 
     def spliting_event(self):
-        pass
+        indices = list()
+        for i, b0, b1 in self.iter_on("segment"):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            i_p = self.previous_obs[i.start]
+            if i_p != -1:
+                indices.append(i.start)
+        indices = list(set(indices))
+        nb = len(indices)
+        new = EddiesObservations(
+            nb,
+            track_extra_variables=self.track_extra_variables,
+            track_array_variables=self.track_array_variables,
+            array_variables=self.array_variables,
+            only_variables=self.only_variables,
+            raw_data=self.raw_data,
+        )
+
+        for k in new.obs.dtype.names:
+            new[k][:] = self[k][indices]
+        new.sign_type = self.sign_type
+        return new
 
     def fully_connected(self):
         self.only_one_network()
+        # TODO
+
+    def plot(self, ax, ref=None, **kwargs):
+        """
+        This function will draw path of each trajectory
+
+        :param matplotlib.axes.Axes ax: ax to draw
+        :param float,int ref: if defined, all coordinates will be wrapped with ref like west boundary
+        :param dict kwargs: keyword arguments for Axes.plot
+        :return: a list of matplotlib mappables
+        """
+        mappables = list()
+        if "label" in kwargs:
+            kwargs["label"] = self.format_label(kwargs["label"])
+        for i, b0, b1 in self.iter_on("segment"):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            x, y = self.lon[i], self.lat[i]
+            if ref is not None:
+                x, y = wrap_longitude(x, y, ref, cut=True)
+            mappables.append(ax.plot(x, y, **kwargs)[0])
+        return mappables
 
     def remove_dead_branch(self, nobs=3):
         """"""

From 493aed8c367e53c430095bf0d784500d1041db8e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 19 Jan 2021 15:16:55 +0100
Subject: [PATCH 212/441] add new method for network

---
 examples/16_network/pet_relative.py          |  62 +++++++-
 src/py_eddy_tracker/observations/network.py  | 154 ++++++++++++++-----
 src/py_eddy_tracker/observations/tracking.py |  15 +-
 3 files changed, 182 insertions(+), 49 deletions(-)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 51402ba4..d48c4f03 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -4,9 +4,12 @@
 """
 
 from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from numpy import arange
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import data
+from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -30,13 +33,41 @@
 # Display timeline
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
-n.display_timeline(ax)
+_ = n.display_timeline(ax)
 
 # %%
 # Display timeline without event
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
-n.display_timeline(ax, event=False)
+_ = n.display_timeline(ax, event=False)
+
+# %%
+# Timeline by latitude mean
+# -------------------------
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
+_ = n.display_timeline(ax, field="latitude")
+
+# %%
+# Timeline by radius mean
+# -----------------------
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
+_ = n.display_timeline(ax, field="radius_e")
+
+# %%
+# Timeline by latitude
+# --------------------
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+_ = n.display_timeline(ax, field="lat", method="all")
+
+# %%
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+n_copy = n.copy()
+n_copy.median_filter(15, "time", "latitude")
+_ = n_copy.display_timeline(ax, field="lat", method="all")
 
 # %%
 # Parameters timeline
@@ -138,9 +169,12 @@
 # Display track on map
 # --------------------
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 close_to_i2.plot(ax)
-_ = ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+ax.set_xlim(-13, 20), ax.set_ylim(-36.5, -20), ax.grid()
+ax = fig.add_axes([0.08, 0.67, 0.55, 0.3])
+_ = close_to_i2.display_timeline(ax, field="latitude")
+
 
 # %%
 # Get merging event
@@ -161,3 +195,23 @@
 spliting.display(ax)
 ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
 spliting
+
+# %%
+# Get birth event
+# ------------------
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+birth = close_to_i2.birth_event()
+birth.display(ax)
+ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+birth
+
+# %%
+# Get death event
+# ------------------
+fig = plt.figure(figsize=(15, 8))
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+death = close_to_i2.death_event()
+death.display(ax)
+ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+death
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index b23bf0d3..c97dd92d 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -11,7 +11,7 @@
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
-from .tracking import TrackEddiesObservations
+from .tracking import TrackEddiesObservations, track_median_filter
 
 logger = logging.getLogger("pet")
 
@@ -168,7 +168,17 @@ def only_one_network(self):
         # TODO
         pass
 
-    def display_timeline(self, ax, event=True):
+    def median_filter(self, half_window, xfield, yfield, inplace=True):
+        # FIXME: segments is not enough with several network
+        result = track_median_filter(
+            half_window, self[xfield], self[yfield], self.segment
+        )
+        if inplace:
+            self[yfield][:] = result
+            return self
+        return result
+
+    def display_timeline(self, ax, event=True, field=None, method=None):
         """
         Must be call on only one network
         """
@@ -183,21 +193,33 @@ def display_timeline(self, ax, event=True):
         )
         mappables = dict(lines=list())
         if event:
-            mappables.update(self.event_timeline(ax))
+            mappables.update(self.event_timeline(ax, field=field, method=method))
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
             if x.shape[0] == 0:
                 continue
-            y = b0 * ones(x.shape)
+            if field is None:
+                y = b0 * ones(x.shape)
+            else:
+                if method == "all":
+                    y = self[field][i]
+                else:
+                    y = self[field][i].mean() * ones(x.shape)
             line = ax.plot(x, y, **line_kw, color=self.COLORS[j % self.NB_COLORS])[0]
             mappables["lines"].append(line)
             j += 1
 
         return mappables
 
-    def event_timeline(self, ax):
+    def event_timeline(self, ax, field=None, method=None):
         j = 0
         # TODO : fill mappables dict
+        y_seg = dict()
+        if field is not None and method != "all":
+            for i, b0, _ in self.iter_on("segment"):
+                y = self[field][i]
+                if y.shape[0] != 0:
+                    y_seg[b0] = y.mean()
         mappables = dict()
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
@@ -208,12 +230,33 @@ def event_timeline(self, ax):
                 self.next_obs[i.stop - 1],
                 self.previous_obs[i.start],
             )
+            if field is None:
+                y0 = b0
+            else:
+                if method == "all":
+                    y0 = self[field][i.stop - 1]
+                else:
+                    y0 = y_seg[b0]
             if i_n != -1:
-                ax.plot((x[-1], self.time[i_n]), (b0, self.segment[i_n]), **event_kw)
-                ax.plot(x[-1], b0, color="k", marker=">", markersize=10, zorder=-1)
+                seg_next = self.segment[i_n]
+                y1 = (
+                    seg_next
+                    if field is None
+                    else (self[field][i_n] if method == "all" else y_seg[seg_next])
+                )
+                ax.plot((x[-1], self.time[i_n]), (y0, y1), **event_kw)[0]
+                ax.plot(x[-1], y0, color="k", marker=">", markersize=10, zorder=-1)[0]
             if i_p != -1:
-                ax.plot((x[0], self.time[i_p]), (b0, self.segment[i_p]), **event_kw)
-                ax.plot(x[0], b0, color="k", marker="*", markersize=12, zorder=-1)
+                seg_previous = self.segment[i_p]
+                if field is not None and method == "all":
+                    y0 = self[field][i.start]
+                y1 = (
+                    seg_previous
+                    if field is None
+                    else (self[field][i_p] if method == "all" else y_seg[seg_previous])
+                )
+                ax.plot((x[0], self.time[i_p]), (y0, y1), **event_kw)[0]
+                ax.plot(x[0], y0, color="k", marker="*", markersize=12, zorder=-1)[0]
             j += 1
         return mappables
 
@@ -235,16 +278,7 @@ def insert_virtual(self):
         # TODO
         pass
 
-    def merging_event(self):
-        indices = list()
-        for i, b0, b1 in self.iter_on("segment"):
-            nb = i.stop - i.start
-            if nb == 0:
-                continue
-            i_n = self.next_obs[i.stop - 1]
-            if i_n != -1:
-                indices.append(i.stop - 1)
-        indices = list(set(indices))
+    def extract_event(self, indices):
         nb = len(indices)
         new = EddiesObservations(
             nb,
@@ -260,30 +294,54 @@ def merging_event(self):
         new.sign_type = self.sign_type
         return new
 
+    def segment_track_array(self):
+        return build_unique_array(self.segment, self.track)
+
+    def birth_event(self):
+        # FIXME how to manage group 0
+        indices = list()
+        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            i_p = self.previous_obs[i.start]
+            if i_p == -1:
+                indices.append(i.start)
+        return self.extract_event(list(set(indices)))
+
+    def death_event(self):
+        # FIXME how to manage group 0
+        indices = list()
+        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            i_n = self.next_obs[i.stop - 1]
+            if i_n == -1:
+                indices.append(i.stop - 1)
+        return self.extract_event(list(set(indices)))
+
+    def merging_event(self):
+        indices = list()
+        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            i_n = self.next_obs[i.stop - 1]
+            if i_n != -1:
+                indices.append(i.stop - 1)
+        return self.extract_event(list(set(indices)))
+
     def spliting_event(self):
         indices = list()
-        for i, b0, b1 in self.iter_on("segment"):
+        for i, b0, b1 in self.iter_on(self.segment_track_array()):
             nb = i.stop - i.start
             if nb == 0:
                 continue
             i_p = self.previous_obs[i.start]
             if i_p != -1:
                 indices.append(i.start)
-        indices = list(set(indices))
-        nb = len(indices)
-        new = EddiesObservations(
-            nb,
-            track_extra_variables=self.track_extra_variables,
-            track_array_variables=self.track_array_variables,
-            array_variables=self.array_variables,
-            only_variables=self.only_variables,
-            raw_data=self.raw_data,
-        )
-
-        for k in new.obs.dtype.names:
-            new[k][:] = self[k][indices]
-        new.sign_type = self.sign_type
-        return new
+        return self.extract_event(list(set(indices)))
 
     def fully_connected(self):
         self.only_one_network()
@@ -463,14 +521,16 @@ def group_observations(self, **kwargs):
             print()
 
         gr = self.get_group_array(results, nb_obs)
+        nb_alone, nb_obs, nb_gr = (gr == self.NOGROUP).sum(), len(gr), len(unique(gr))
         logger.info(
-            f"{(gr == self.NOGROUP).sum()} alone / {len(gr)} obs, {len(unique(gr))} groups"
+            f"{nb_alone} alone / {nb_obs} obs, {nb_gr} groups, "
+            f"{nb_alone *100./nb_obs:.2f} % alone, {(nb_obs - nb_alone) / (nb_gr - 1):.1f} obs/group"
         )
         return gr
 
     def build_dataset(self, group):
         nb_obs = group.shape[0]
-        model = EddiesObservations.load_file(self.filenames[-1], raw_data=True)
+        model = TrackEddiesObservations.load_file(self.filenames[-1], raw_data=True)
         eddies = TrackEddiesObservations.new_like(model, nb_obs)
         eddies.sign_type = model.sign_type
         # Get new index to re-order observation by group
@@ -485,9 +545,9 @@ def build_dataset(self, group):
             if self.memory:
                 # Only if netcdf
                 with open(filename, "rb") as h:
-                    e = EddiesObservations.load_file(h, raw_data=True)
+                    e = TrackEddiesObservations.load_file(h, raw_data=True)
             else:
-                e = EddiesObservations.load_file(filename, raw_data=True)
+                e = TrackEddiesObservations.load_file(filename, raw_data=True)
             stop = i + len(e)
             sl = slice(i, stop)
             for element in elements:
@@ -495,7 +555,6 @@ def build_dataset(self, group):
             i = stop
         if display_iteration:
             print()
-        eddies = eddies.add_fields(("track",))
         eddies.track[new_i] = group
         return eddies
 
@@ -518,3 +577,18 @@ def apply_replace(x, x0, x1):
     for i in range(nb):
         if x[i] == x0:
             x[i] = x1
+
+
+@njit(cache=True)
+def build_unique_array(id1, id2):
+    k = 0
+    new_id = empty(id1.shape, dtype=id1.dtype)
+    id1_previous = id1[0]
+    id2_previous = id2[0]
+    for i in range(id1.shape[0]):
+        id1_, id2_ = id1[i], id2[i]
+        if id1_ != id1_previous or id2_ != id2_previous:
+            k += 1
+        new_id[i] = k
+        id1_previous, id2_previous = id1_, id2_
+    return new_id
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 7113c324..c7d61659 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -432,13 +432,13 @@ def loess_filter(self, half_window, xfield, yfield, inplace=True):
             return self
 
     def median_filter(self, half_window, xfield, yfield, inplace=True):
-        track = self.track
-        x = self.obs[xfield]
-        y = self.obs[yfield]
-        result = track_median_filter(half_window, x, y, track)
+        result = track_median_filter(
+            half_window, self[xfield], self[yfield], self.track
+        )
         if inplace:
-            self.obs[yfield] = result
+            self[yfield][:] = result
             return self
+        return result
 
     def position_filter(self, median_half_window, loess_half_window):
         self.median_filter(median_half_window, "time", "lon").loess_filter(
@@ -620,9 +620,12 @@ def split_network(self, intern=True, **kwargs):
         # and ids["next_obs"] == -1 means the end of a non-merged segment
 
         xname, yname = self.intern(intern)
+        display_iteration = logger.getEffectiveLevel() == logging.INFO
         for i_s, i_e in zip(track_s, track_e):
             if i_s == i_e or self.tracks[i_s] == self.NOGROUP:
                 continue
+            if display_iteration:
+                print(f"Network obs from {i_s} to {i_e} on {track_e[-1]}", end="\r")
             sl = slice(i_s, i_e)
             local_ids = ids[sl]
             # built segments with local indices
@@ -632,6 +635,8 @@ def split_network(self, intern=True, **kwargs):
             local_ids["previous_obs"][m] += i_s
             m = local_ids["next_obs"] != -1
             local_ids["next_obs"][m] += i_s
+        if display_iteration:
+            print()
         return ids
 
     def set_tracks(self, x, y, ids, window, **kwargs):

From 8499085c701806a72406379b7926a32356271e67 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 21 Jan 2021 18:15:38 +0100
Subject: [PATCH 213/441] Remove unused property

---
 src/py_eddy_tracker/dataset/grid.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index e07e32a0..4f427d63 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -249,8 +249,6 @@ class GridDataset(object):
         "x_bounds",
         "y_bounds",
         "centered",
-        "xinterp",
-        "yinterp",
         "x_dim",
         "y_dim",
         "coordinates",
@@ -293,8 +291,6 @@ def __init__(
         self.y_dim = None
         self.centered = centered
         self.contours = None
-        self.xinterp = None
-        self.yinterp = None
         self.filename = filename
         self.coordinates = x_name, y_name
         self.vars = dict()
@@ -399,7 +395,6 @@ def load(self):
             self.vars[y_name] = h.variables[y_name][sl_y]
 
         self.setup_coordinates()
-        self.init_pos_interpolator()
 
     @staticmethod
     def c_to_bounds(c):
@@ -1189,11 +1184,6 @@ def with_array(cls, coordinates, datas, variables_description=None, **kwargs):
         obj.setup_coordinates()
         return obj
 
-    def init_pos_interpolator(self):
-        """Create function to have a quick index interpolator"""
-        self.xinterp = arange(self.x_bounds.shape[0])
-        self.yinterp = arange(self.y_bounds.shape[0])
-
     def bbox_indice(self, vertices):
         return bbox_indice_regular(
             vertices,

From 977236f868773523d4252fd6cca26ce7018a354f Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 21 Jan 2021 18:21:10 +0100
Subject: [PATCH 214/441] Add method to get contour which contains x,y
 observations

---
 CHANGELOG.rst                                 |  1 +
 .../observations/observation.py               | 42 ++++++++++++++++++-
 2 files changed, 42 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index c25d1765..edc8eed7 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -21,6 +21,7 @@ Added
 - Add **EddyQuickCompare** to have few figures about several datasets in comparison based on match function
 - Color field for contour in **EddyAnim** could be choose
 - Save EddyAnim in mp4
+- Add method to get eddy contour which enclosed obs defined with (x,y) coordinates
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 25efc744..c376dc5e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -363,7 +363,7 @@ def add_fields(self, fields=list(), array_fields=list()):
 
     def add_rotation_type(self):
         new = self.add_fields(("type_cyc",))
-        new.type_cyc = self.sign_type
+        new.type_cyc[:] = self.sign_type
         return new
 
     def circle_contour(self, only_virtual=False):
@@ -1905,6 +1905,19 @@ def is_convex(self, intern=False):
         xname, yname = self.intern(intern)
         return convexs(self[xname], self[yname])
 
+    def contains(self, x, y, intern=False):
+        """
+        Return index of contour which contain (x,y)
+
+        :param array x: longitude
+        :param array y: latitude
+        :param bool intern: If true use speed contour instead of effective contour
+        :return: indexs, -1 if no index
+        :rtype: array[int32]
+        """
+        xname, yname = self.intern(intern)
+        return poly_indexs(x, y, self[xname], self[yname])
+
     def inside(self, x, y, intern=False):
         """
         True for each point inside the effective contour of an eddy
@@ -2181,6 +2194,33 @@ def grid_count_pixel_in(
         grid_count_(grid, i, j)
 
 
+@njit(cache=True)
+def poly_indexs(x_p, y_p, x_c, y_c):
+    """
+    index of contour for each postion inside a contour, -1 in case of no contour
+
+    :param array x_p: longitude to test
+    :param array y_p: latitude to test
+    :param array x_c: longitude of contours
+    :param array y_c: latitude of contours
+    """
+    nb_p = x_p.shape[0]
+    nb_c = x_c.shape[0]
+    indexs = -ones(nb_p, dtype=numba_types.int32)
+    for i in range(nb_c):
+        x_c_min, y_c_min = x_c[i].min(), y_c[i].min()
+        x_c_max, y_c_max = x_c[i].max(), y_c[i].max()
+        v = create_vertice(x_c[i], y_c[i])
+        for j in range(nb_p):
+            if indexs[j] != -1:
+                continue
+            x, y = x_p[j], y_p[j]
+            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
+                if winding_number_poly(x, y, v) != 0:
+                    indexs[j] = i
+    return indexs
+
+
 @njit(cache=True)
 def insidepoly(x_p, y_p, x_c, y_c):
     """

From 23a5ccade9c1b9ff7d622594e0e1f3ca89b6c660 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 22 Jan 2021 18:11:54 +0100
Subject: [PATCH 215/441] Change how to normalize longitude after tracking

---
 CHANGELOG.rst                                |  5 +++
 src/py_eddy_tracker/appli/eddies.py          |  2 ++
 src/py_eddy_tracker/observations/tracking.py | 36 ++++++++++++++------
 3 files changed, 33 insertions(+), 10 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index edc8eed7..f0cfcda0 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -9,6 +9,11 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 [Unreleased]
 ------------
 
+Changed
+^^^^^^^
+- `TrackEddiesObservations.filled_by_interpolation` method stop to normalize longitude, to continue to have same
+  beahviour you must call before `TrackEddiesObservations.normalize_longitude`
+
 Fixed
 ^^^^^
 - Use `safe_load` for yaml load
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 23243165..603183d4 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -359,8 +359,10 @@ def track(
     # We flag obs
     if c.virtual:
         long_track["virtual"][:] = long_track["time"] == 0
+        long_track.normalize_longitude()
         long_track.filled_by_interpolation(long_track["virtual"] == 1)
         short_track["virtual"][:] = short_track["time"] == 0
+        short_track.normalize_longitude()
         short_track.filled_by_interpolation(short_track["virtual"] == 1)
 
     logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index c7d61659..076d2975 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -23,7 +23,6 @@
     radians,
     sin,
     unique,
-    where,
     zeros,
 )
 
@@ -167,19 +166,36 @@ def filled_by_interpolation(self, mask):
                 or var in self.array_variables
             ):
                 continue
-            # to normalize longitude before interpolation
-            if var == "lon":
-                lon = self.lon
-                first = where(self.n == 0)[0]
-                nb_obs = empty(first.shape, dtype="u4")
-                nb_obs[:-1] = first[1:] - first[:-1]
-                nb_obs[-1] = lon.shape[0] - first[-1]
-                lon0 = (lon[first] - 180).repeat(nb_obs)
-                self.lon[:] = (lon - lon0) % 360 + lon0
             self.obs[var][mask] = interp(
                 index[mask], index[~mask], self.obs[var][~mask]
             )
 
+    def normalize_longitude(self):
+        """Normalize all longitude
+
+        Normalize longitude field and in the same range :
+        - longitude_max
+        - contour_lon_e (how to do if in raw)
+        - contour_lon_s (how to do if in raw)
+        """
+        lon0 = (self.lon[self.index_from_track] - 180).repeat(self.nb_obs_by_track)
+        logger.debug("Normalize longitude")
+        self.lon[:] = (self.lon - lon0) % 360 + lon0
+        if "lon_max" in self.obs.dtype.names:
+            logger.debug("Normalize longitude_max")
+            self.lon_max[:] = (self.lon_max - self.lon + 180) % 360 + self.lon - 180
+        if not self.raw_data:
+            if "contour_lon_e" in self.obs.dtype.names:
+                logger.debug("Normalize effective contour longitude")
+                self.contour_lon_e[:] = (
+                    (self.contour_lon_e.T - self.lon + 180) % 360 + self.lon - 180
+                ).T
+            if "contour_lon_s" in self.obs.dtype.names:
+                logger.debug("Normalize speed contour longitude")
+                self.contour_lon_s[:] = (
+                    (self.contour_lon_s.T - self.lon + 180) % 360 + self.lon - 180
+                ).T
+
     def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
         """Select the trajectories longer than nb_min"""
         mask = nb_obs >= nb_min

From edc832bf4a09ec1cd9da6e147dfdd7f687892f72 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:45:28 +0100
Subject: [PATCH 216/441] Minor correction

---
 .../02_eddy_identification/pet_eddy_detection.py     | 12 ++++++------
 examples/16_network/pet_relative.py                  |  4 ----
 2 files changed, 6 insertions(+), 10 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index 522ad4a0..d4f7848a 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -91,12 +91,12 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
-# Criteria for rejecting a contour
-# 0. - Accepted (green)
-# 1. - Rejection for shape error (red)
-# 2. - Masked value within contour (blue)
-# 3. - Under or over the pixel limit bounds (black)
-# 4. - Amplitude criterion (yellow)
+# Criteria for rejecting a contour:
+#  0. - Accepted (green)
+#  1. - Rejection for shape error (red)
+#  2. - Masked value within contour (blue)
+#  3. - Under or over the pixel limit bounds (black)
+#  4. - Amplitude criterion (yellow)
 ax = start_axes("Contours' rejection criteria")
 g.contours.display(ax, only_unused=True, lw=0.5, display_criterion=True)
 update_axes(ax)
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index d48c4f03..e4b72875 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -4,12 +4,8 @@
 """
 
 from matplotlib import pyplot as plt
-from matplotlib.animation import FuncAnimation
-from numpy import arange
 
-import py_eddy_tracker.gui
 from py_eddy_tracker import data
-from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 

From cbf1267e6351b62139d781d436772f906c1b2ff9 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:47:25 +0100
Subject: [PATCH 217/441] Choose txt field for anim

---
 src/py_eddy_tracker/appli/gui.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 9d09b57f..bbe5067c 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -34,6 +34,7 @@ def __init__(
         self.sleep_event = sleep_event
         self.mappables = list()
         self.field_color = None
+        self.field_txt = None
         self.time_field = False
         self.setup(**kwargs)
 
@@ -42,12 +43,14 @@ def setup(
         cmap="jet",
         lut=None,
         field_color="time",
+        field_txt="track",
         range_color=(None, None),
         nb_step=25,
         figsize=(8, 6),
         **kwargs,
     ):
         self.field_color = self.eddy[field_color].astype("f4")
+        self.field_txt = self.eddy[field_txt]
         rg = range_color
         if rg[0] is None and rg[1] is None and field_color == "time":
             self.time_field = True
@@ -183,7 +186,7 @@ def update(self):
         # Update id txt
         for i in where(m)[0]:
             mappable = self.ax.text(
-                self.x_core[i], self.y_core[i], self.track[i], fontsize=8
+                self.x_core[i], self.y_core[i], self.field_txt[i], fontsize=8
             )
             self.mappables.append(mappable)
             self.ax.draw_artist(mappable)

From 1a2dcb40423dc279cbae5982ceae44223f701bb2 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:47:54 +0100
Subject: [PATCH 218/441] Add a subsetter for network

---
 setup.py                             |  1 +
 src/py_eddy_tracker/appli/network.py | 21 +++++++++++++++++++--
 2 files changed, 20 insertions(+), 2 deletions(-)

diff --git a/setup.py b/setup.py
index 497ec90b..06432bd1 100644
--- a/setup.py
+++ b/setup.py
@@ -47,6 +47,7 @@
             # network
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
+            "EddyNetworkSubSetter = py_eddy_tracker.appli.network:subset_network",
             # anim/gui
             "EddyAnim = py_eddy_tracker.appli.gui:anim",
             "GUIEddy = py_eddy_tracker.appli.gui:guieddy",
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index aa4a09cc..4236875c 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -56,7 +56,24 @@ def divide_network():
     n.write_file(filename=args.out)
 
 
-def subsample_network():
-    parser = EddyParser("Sub sample")
+def subset_network():
+    parser = EddyParser("Subset network")
     parser.add_argument("input", help="input network file")
     parser.add_argument("out", help="output file")
+    parser.add_argument(
+        "--inverse_selection",
+        action="store_true",
+        help="Extract the inverse of selection",
+    )
+    parser.add_argument(
+        "-l",
+        "--length",
+        nargs=2,
+        type=int,
+        help="Nb of day which must be cover by network, first minimum number of day and last maximum number of day,"
+        "if value is negative, this bound won't be used",
+    )
+    args = parser.parse_args()
+    n = NetworkObservations.load_file(args.input)
+    n = n.longer_than(*args.length)
+    n.write_file(filename=args.out)

From 196d431ce65eec1aba8b605bba68194af883d83c Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:48:32 +0100
Subject: [PATCH 219/441] Segmentation of network will provide a full dataset

---
 CHANGELOG.rst                        | 2 +-
 src/py_eddy_tracker/appli/network.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index f0cfcda0..41ad93a2 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -24,7 +24,7 @@ Added
 - Add a filter option in EddyId to be able to remove fine scale (like noise) with same filter order than high scale
   filter
 - Add **EddyQuickCompare** to have few figures about several datasets in comparison based on match function
-- Color field for contour in **EddyAnim** could be choose
+- Color and text field for contour in **EddyAnim** could be choose
 - Save EddyAnim in mp4
 - Add method to get eddy contour which enclosed obs defined with (x,y) coordinates
 
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 4236875c..35c86c45 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -51,7 +51,8 @@ def divide_network():
         include_vars=("time", "track", "latitude", "longitude", *contour_name),
     )
     n = NetworkObservations.from_split_network(
-        e, e.split_network(intern=args.intern, window=args.window)
+        TrackEddiesObservations.load_file(args.input, raw_data=True),
+        e.split_network(intern=args.intern, window=args.window),
     )
     n.write_file(filename=args.out)
 

From 9eea12019303e4a79ad1ca4f12d9e8bef9454054 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:50:48 +0100
Subject: [PATCH 220/441] - filter on each segment of network - factor could be
 apply on timeline - new numbering of segment - extract network greater than X
 days

---
 CHANGELOG.rst                               |   1 +
 src/py_eddy_tracker/observations/network.py | 107 ++++++++++++++++----
 2 files changed, 90 insertions(+), 18 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 41ad93a2..0b1a100c 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -27,6 +27,7 @@ Added
 - Color and text field for contour in **EddyAnim** could be choose
 - Save EddyAnim in mp4
 - Add method to get eddy contour which enclosed obs defined with (x,y) coordinates
+- Add **EddyNetworkSubSetter** to subset network which need special tool and operation after subset
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index c97dd92d..8b7e4e2b 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,12 +6,12 @@
 from glob import glob
 
 from numba import njit
-from numpy import arange, array, bincount, empty, ones, uint32, unique
+from numpy import arange, array, bincount, empty, ones, uint32, unique, zeros
 
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
 from .observation import EddiesObservations
-from .tracking import TrackEddiesObservations, track_median_filter
+from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
 
 logger = logging.getLogger("pet")
 
@@ -71,6 +71,26 @@ def elements(self):
         elements.extend(["track", "segment", "next_obs", "previous_obs"])
         return list(set(elements))
 
+    def longer_than(self, nb_day_min=-1, nb_day_max=-1):
+        """
+        Select network on time duration
+
+        :param int nb_day_min: Minimal number of day which must be covered by one network, if negative -> not used
+        :param int nb_day_max: Maximal number of day which must be covered by one network, if negative -> not used
+        """
+        if nb_day_max < 0:
+            nb_day_max = 1000000000000
+        mask = zeros(self.shape, dtype="bool")
+        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            t = self.time[i]
+            dt = t.max() - t.min()
+            if nb_day_min <= dt <= nb_day_max:
+                mask[i] = True
+        return self.extract_with_mask(mask)
+
     @classmethod
     def from_split_network(cls, group_dataset, indexs, **kwargs):
         """
@@ -160,6 +180,13 @@ def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=Fal
         m = (d <= order) * (d != -1)
         return self.extract_with_mask(m)
 
+    def numbering_segment(self):
+        """
+        New numbering of segment
+        """
+        for i, _, _ in self.iter_on("track"):
+            new_numbering(self.segment[i])
+
     def only_one_network(self):
         """
         Raise a warning or error?
@@ -168,17 +195,35 @@ def only_one_network(self):
         # TODO
         pass
 
+    def position_filter(self, median_half_window, loess_half_window):
+        self.median_filter(median_half_window, "time", "lon").loess_filter(
+            loess_half_window, "time", "lon"
+        )
+        self.median_filter(median_half_window, "time", "lat").loess_filter(
+            loess_half_window, "time", "lat"
+        )
+
+    def loess_filter(self, half_window, xfield, yfield, inplace=True):
+        result = track_loess_filter(
+            half_window, self.obs[xfield], self.obs[yfield], self.segment_track_array()
+        )
+        if inplace:
+            self.obs[yfield] = result
+            return self
+        return result
+
     def median_filter(self, half_window, xfield, yfield, inplace=True):
-        # FIXME: segments is not enough with several network
         result = track_median_filter(
-            half_window, self[xfield], self[yfield], self.segment
+            half_window, self[xfield], self[yfield], self.segment_track_array()
         )
         if inplace:
             self[yfield][:] = result
             return self
         return result
 
-    def display_timeline(self, ax, event=True, field=None, method=None):
+    def display_timeline(
+        self, ax, event=True, field=None, method=None, factor=1, **kwargs
+    ):
         """
         Must be call on only one network
         """
@@ -191,9 +236,12 @@ def display_timeline(self, ax, event=True, field=None, method=None):
             zorder=1,
             lw=3,
         )
+        line_kw.update(kwargs)
         mappables = dict(lines=list())
         if event:
-            mappables.update(self.event_timeline(ax, field=field, method=method))
+            mappables.update(
+                self.event_timeline(ax, field=field, method=method, factor=factor)
+            )
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
             if x.shape[0] == 0:
@@ -202,16 +250,16 @@ def display_timeline(self, ax, event=True, field=None, method=None):
                 y = b0 * ones(x.shape)
             else:
                 if method == "all":
-                    y = self[field][i]
+                    y = self[field][i] * factor
                 else:
-                    y = self[field][i].mean() * ones(x.shape)
+                    y = self[field][i].mean() * ones(x.shape) * factor
             line = ax.plot(x, y, **line_kw, color=self.COLORS[j % self.NB_COLORS])[0]
             mappables["lines"].append(line)
             j += 1
 
         return mappables
 
-    def event_timeline(self, ax, field=None, method=None):
+    def event_timeline(self, ax, field=None, method=None, factor=1):
         j = 0
         # TODO : fill mappables dict
         y_seg = dict()
@@ -219,7 +267,7 @@ def event_timeline(self, ax, field=None, method=None):
             for i, b0, _ in self.iter_on("segment"):
                 y = self[field][i]
                 if y.shape[0] != 0:
-                    y_seg[b0] = y.mean()
+                    y_seg[b0] = y.mean() * factor
         mappables = dict()
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
@@ -234,7 +282,7 @@ def event_timeline(self, ax, field=None, method=None):
                 y0 = b0
             else:
                 if method == "all":
-                    y0 = self[field][i.stop - 1]
+                    y0 = self[field][i.stop - 1] * factor
                 else:
                     y0 = y_seg[b0]
             if i_n != -1:
@@ -242,18 +290,26 @@ def event_timeline(self, ax, field=None, method=None):
                 y1 = (
                     seg_next
                     if field is None
-                    else (self[field][i_n] if method == "all" else y_seg[seg_next])
+                    else (
+                        self[field][i_n] * factor
+                        if method == "all"
+                        else y_seg[seg_next]
+                    )
                 )
                 ax.plot((x[-1], self.time[i_n]), (y0, y1), **event_kw)[0]
                 ax.plot(x[-1], y0, color="k", marker=">", markersize=10, zorder=-1)[0]
             if i_p != -1:
                 seg_previous = self.segment[i_p]
                 if field is not None and method == "all":
-                    y0 = self[field][i.start]
+                    y0 = self[field][i.start] * factor
                 y1 = (
                     seg_previous
                     if field is None
-                    else (self[field][i_p] if method == "all" else y_seg[seg_previous])
+                    else (
+                        self[field][i_p] * factor
+                        if method == "all"
+                        else y_seg[seg_previous]
+                    )
                 )
                 ax.plot((x[0], self.time[i_p]), (y0, y1), **event_kw)[0]
                 ax.plot(x[0], y0, color="k", marker="*", markersize=12, zorder=-1)[0]
@@ -300,7 +356,7 @@ def segment_track_array(self):
     def birth_event(self):
         # FIXME how to manage group 0
         indices = list()
-        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array()):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -312,7 +368,7 @@ def birth_event(self):
     def death_event(self):
         # FIXME how to manage group 0
         indices = list()
-        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array()):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -323,7 +379,7 @@ def death_event(self):
 
     def merging_event(self):
         indices = list()
-        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array()):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -334,7 +390,7 @@ def merging_event(self):
 
     def spliting_event(self):
         indices = list()
-        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array()):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -425,6 +481,9 @@ def extract_with_mask(self, mask):
         if nb_obs == 0:
             logger.warning("Empty dataset will be created")
         else:
+            logger.info(
+                f"{nb_obs} observations will be extract ({nb_obs * 100. / self.shape[0]}%)"
+            )
             for field in self.obs.dtype.descr:
                 if field in ("next_obs", "previous_obs"):
                     continue
@@ -592,3 +651,15 @@ def build_unique_array(id1, id2):
         new_id[i] = k
         id1_previous, id2_previous = id1_, id2_
     return new_id
+
+
+@njit(cache=True)
+def new_numbering(segs):
+    nb = len(segs)
+    s0 = segs[0]
+    j = 0
+    for i in range(nb):
+        if segs[i] != s0:
+            s0 = segs[i]
+            j += 1
+        segs[i] = j

From 7977d6d5b1c94c30ff155a382f2e00e975581daa Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 21:58:59 +0100
Subject: [PATCH 221/441] Add new example for network

---
 examples/16_network/pet_atlas.py             | 144 +++++++++++++++
 examples/16_network/pet_ioannou_2017_case.py | 174 +++++++++++++++++++
 2 files changed, 318 insertions(+)
 create mode 100644 examples/16_network/pet_atlas.py
 create mode 100644 examples/16_network/pet_ioannou_2017_case.py

diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
new file mode 100644
index 00000000..7fb3afd1
--- /dev/null
+++ b/examples/16_network/pet_atlas.py
@@ -0,0 +1,144 @@
+"""
+Network analyse
+===============
+"""
+from matplotlib import pyplot as plt
+from numpy import ma
+
+import py_eddy_tracker.gui
+from py_eddy_tracker.observations.network import NetworkObservations
+
+n = NetworkObservations.load_file(
+    "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
+)
+
+# %%
+# Parameters
+step = 1 / 10.0
+bins = ((-10, 37, step), (30, 46, step))
+kw_time = dict(cmap="terrain_r", factor=100.0 / n.nb_days, name="count")
+kw_ratio = dict(cmap=plt.get_cmap("coolwarm_r", 10))
+
+# %%
+# Function
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title, weight="bold")
+    return ax
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    ax.update_env()
+    if mappable:
+        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+
+# %%
+# All
+# ---
+ax = start_axes("")
+g_all = n.grid_count(bins)
+m = g_all.display(ax, **kw_time, vmin=0, vmax=75)
+update_axes(ax, m).set_label("Pixel used in % of time")
+
+# %%
+# Network longer than 10 days
+# ---------------------------
+ax = start_axes("")
+n10 = n.longer_than(10)
+g_10 = n10.grid_count(bins)
+m = g_10.display(ax, **kw_time, vmin=0, vmax=75)
+update_axes(ax, m).set_label("Pixel used in % of time")
+
+ax = start_axes("")
+m = g_10.display(
+    ax,
+    **kw_ratio,
+    vmin=50,
+    vmax=100,
+    name=g_10.vars["count"] * 100.0 / g_all.vars["count"]
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+# %%
+# Network longer than 20 days
+# ---------------------------
+ax = start_axes("")
+n20 = n.longer_than(20)
+g_20 = n20.grid_count(bins)
+m = g_20.display(ax, **kw_time, vmin=0, vmax=75)
+update_axes(ax, m).set_label("Pixel used in % of time")
+
+ax = start_axes("")
+m = g_20.display(
+    ax,
+    **kw_ratio,
+    vmin=50,
+    vmax=100,
+    name=g_20.vars["count"] * 100.0 / g_all.vars["count"]
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+ax = start_axes("")
+m = g_20.display(
+    ax,
+    **kw_ratio,
+    vmin=50,
+    vmax=100,
+    name=ma.array(
+        g_20.vars["count"] * 100.0 / g_all.vars["count"], mask=g_all.vars["count"] < 365
+    )
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+ax = start_axes("")
+m = g_20.display(
+    ax,
+    **kw_ratio,
+    vmin=50,
+    vmax=100,
+    name=ma.array(
+        g_20.vars["count"] * 100.0 / g_all.vars["count"],
+        mask=g_all.vars["count"] >= 365,
+    )
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+
+
+# %%
+# All merging
+# -----------
+ax = start_axes("")
+g_all_merging = n.merging_event().grid_count(bins)
+m = g_all_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
+update_axes(ax, m).set_label("Pixel used in % of time")
+# %%
+ax = start_axes("")
+m = g_all_merging.display(
+    ax,
+    **kw_ratio,
+    vmin=0,
+    vmax=1,
+    name=g_all_merging.vars["count"] * 100.0 / g_all.vars["count"]
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+
+# %%
+# Merging in network longer than 10 days
+# --------------------------------------
+ax = start_axes("")
+g_10_merging = n10.merging_event().grid_count(bins)
+m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
+update_axes(ax, m).set_label("Pixel used in % of time")
+# %%
+ax = start_axes("")
+m = g_10_merging.display(
+    ax,
+    **kw_ratio,
+    vmin=0,
+    vmax=0.5,
+    name=ma.array(
+        g_10_merging.vars["count"] * 100.0 / g_10.vars["count"],
+        mask=g_10.vars["count"] < 365,
+    )
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
new file mode 100644
index 00000000..72f55b2e
--- /dev/null
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -0,0 +1,174 @@
+"""
+Ioannou case
+============
+Figure 10 from https://doi.org/10.1002/2017JC013158
+
+"""
+from datetime import datetime, timedelta
+
+import numpy as np
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from matplotlib.ticker import FuncFormatter
+
+import py_eddy_tracker.gui
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.observations.network import NetworkObservations
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        return self.to_html5_video()
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            return
+        return super().save(*args, **kwargs)
+
+
+@FuncFormatter
+def formatter(x, pos):
+    return (timedelta(x) + datetime(1950, 1, 1)).strftime("%d/%m/%Y")
+
+
+def start_axes(title=""):
+    fig = plt.figure(figsize=(13, 6))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
+    ax.set_aspect("equal")
+    ax.set_title(title, weight="bold")
+    ax.update_env()
+    return ax
+
+
+def timeline_axes(title=""):
+    fig = plt.figure(figsize=(15, 5))
+    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])
+    ax.set_title(title, weight="bold")
+    ax.xaxis.set_major_formatter(formatter), ax.grid()
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid(True)
+    if mappable:
+        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+
+
+# %%
+n = NetworkObservations.load_file(
+    "med/Anticyclonic_seg.nc"
+)
+i = np.where(
+    (n.lat > 33)
+    * (n.lat < 34)
+    * (n.lon > 22)
+    * (n.lon < 23)
+    * (n.time > 20630)
+    * (n.time < 20650)
+)[0][0]
+ioannou_case = n.extract_with_mask(n.track == n.track[i])
+print(ioannou_case.infos())
+
+# %%
+ax = start_axes()
+ioannou_case.plot(ax)
+update_axes(ax)
+
+# %%
+# Full Timeline
+# -------------
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+ax.xaxis.set_major_formatter(formatter), ax.grid()
+_ = ioannou_case.display_timeline(ax)
+
+
+# %%
+# Sub network and new numbering
+# -----------------------------
+i = np.where(
+    (ioannou_case.lat > 33)
+    * (ioannou_case.lat < 34)
+    * (ioannou_case.lon > 22)
+    * (ioannou_case.lon < 23)
+    * (ioannou_case.time > 20630)
+    * (ioannou_case.time < 20650)
+)[0][0]
+close_to_i3 = ioannou_case.relative(i, order=3)
+close_to_i3.numbering_segment()
+
+# %%
+# Anim
+# ----
+a = Anim(
+    close_to_i3,
+    figsize=(12, 4),
+    cmap="Spectral_r",
+    nb_step=7,
+    dpi=55,
+    field_color="segment",
+    field_txt="segment",
+)
+a.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)
+a.ax.update_env()
+a.txt.set_position((21.5, 32.7))
+kwargs = dict(frames=np.arange(*a.period), interval=100, blit=True)
+ani = VideoAnimation(a.fig, a.func_animation, **kwargs)
+
+# %%
+# Classic display
+# ---------------
+ax = timeline_axes()
+_ = close_to_i3.display_timeline(ax)
+
+# %%
+ax = start_axes("")
+n_copy = close_to_i3.copy()
+n_copy.position_filter(2, 4)
+n_copy.plot(ax)
+update_axes(ax)
+
+# %%
+# Local Timeline
+# --------------
+ax = timeline_axes(f"Close segments ({close_to_i3.infos()})")
+n_copy = close_to_i3.copy()
+n_copy.median_filter(15, "time", "latitude")
+_ = n_copy.display_timeline(ax, field="lat", method="all")
+
+# %%
+# Local radius timeline
+# ---------------------
+n_copy.median_filter(2, "time", "radius_e")
+n_copy.median_filter(2, "time", "radius_s")
+for b0, b1 in [
+    (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007)
+]:
+    b0_, b1_ = (b0 - datetime(1950, 1, 1)).days - 10, (
+        b1 - datetime(1950, 1, 1)
+    ).days + 10
+    ax = timeline_axes()
+    ax.set_xlim(b0_, b1_)
+    ax.set_ylim(10, 115)
+    n_copy.display_timeline(
+        ax, field="radius_e", method="all", lw=4, markersize=8, factor=1e-3
+    )
+    n_copy.display_timeline(
+        ax, field="radius_s", method="all", lw=1, markersize=3, factor=1e-3
+    )
+
+# %%
+# Parameter timeline
+# ------------------
+kw = dict(s=35, cmap=plt.get_cmap("Spectral_r", 8), zorder=10)
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, "radius_e", factor=1e-3, vmin=20, vmax=100, **kw)
+cb = update_axes(ax, m["scatter"])
+cb.set_label("Effective radius (km)")
+# %%
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, "shape_error_e", vmin=14, vmax=70, **kw)
+cb = update_axes(ax, m["scatter"])
+cb.set_label("Effective shape error")

From e5977923b89090d6d29efc0ab6bc494ed105d132 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 26 Jan 2021 23:28:45 +0100
Subject: [PATCH 222/441] Correction

---
 examples/16_network/pet_atlas.py             | 2 ++
 examples/16_network/pet_ioannou_2017_case.py | 7 ++++++-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 7fb3afd1..c890caef 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -29,12 +29,14 @@ def start_axes(title):
     ax.set_title(title, weight="bold")
     return ax
 
+
 def update_axes(ax, mappable=None):
     ax.grid()
     ax.update_env()
     if mappable:
         return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 
+
 # %%
 # All
 # ---
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 72f55b2e..d0729c08 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -19,10 +19,15 @@
 # %%
 class VideoAnimation(FuncAnimation):
     def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
         return self.to_html5_video()
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as h:
+                pass
             return
         return super().save(*args, **kwargs)
 
@@ -114,7 +119,7 @@ def update_axes(ax, mappable=None):
 a.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)
 a.ax.update_env()
 a.txt.set_position((21.5, 32.7))
-kwargs = dict(frames=np.arange(*a.period), interval=100, blit=True)
+kwargs = dict(frames=np.arange(*a.period), interval=100)
 ani = VideoAnimation(a.fig, a.func_animation, **kwargs)
 
 # %%

From 482b7fdd2aaa23bb802443a3f0612e619fdcdc36 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 29 Jan 2021 10:55:11 +0100
Subject: [PATCH 223/441] Update examples

---
 examples/16_network/pet_atlas.py                   |  1 +
 examples/16_network/pet_ioannou_2017_case.py       | 14 ++++++++------
 examples/16_network/pet_relative.py                |  2 +-
 .../pet_eddy_detection.ipynb                       |  2 +-
 .../pet_eddy_detection_gulf_stream.ipynb           |  2 +-
 .../pet_filter_and_detection.ipynb                 |  2 +-
 .../02_eddy_identification/pet_sla_and_adt.ipynb   |  2 +-
 .../pet_select_track_across_area.ipynb             |  2 +-
 .../10_tracking_diagnostics/pet_center_count.ipynb |  2 +-
 .../10_tracking_diagnostics/pet_pixel_used.ipynb   |  2 +-
 .../14_generic_tools/pet_visvalingam.ipynb         |  2 +-
 11 files changed, 18 insertions(+), 15 deletions(-)

diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index c890caef..687e5d24 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -19,6 +19,7 @@
 kw_time = dict(cmap="terrain_r", factor=100.0 / n.nb_days, name="count")
 kw_ratio = dict(cmap=plt.get_cmap("coolwarm_r", 10))
 
+
 # %%
 # Function
 def start_axes(title):
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index d0729c08..906b90eb 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -26,7 +26,7 @@ def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
             # In this case gif is use to create thumbnail which are not use but consume same time than video
             # So we create an empty file, to save time
-            with open(args[0], "w") as h:
+            with open(args[0], "w") as _:
                 pass
             return
         return super().save(*args, **kwargs)
@@ -132,7 +132,7 @@ def update_axes(ax, mappable=None):
 ax = start_axes("")
 n_copy = close_to_i3.copy()
 n_copy.position_filter(2, 4)
-n_copy.plot(ax)
+n_copy.plot(ax, color_cycle=n_copy.COLORS)
 update_axes(ax)
 
 # %%
@@ -151,12 +151,14 @@ def update_axes(ax, mappable=None):
 for b0, b1 in [
     (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007)
 ]:
-    b0_, b1_ = (b0 - datetime(1950, 1, 1)).days - 10, (
-        b1 - datetime(1950, 1, 1)
-    ).days + 10
+    ref, delta = datetime(1950, 1, 1), 20
+    b0_, b1_ = (b0 - ref).days, (b1 - ref).days
     ax = timeline_axes()
-    ax.set_xlim(b0_, b1_)
+    ax.set_xlim(b0_ - delta, b1_ + delta)
     ax.set_ylim(10, 115)
+    ax.axvline(b0_, color="k", lw=1.5, ls="--"), ax.axvline(
+        b1_, color="k", lw=1.5, ls="--"
+    )
     n_copy.display_timeline(
         ax, field="radius_e", method="all", lw=4, markersize=8, factor=1e-3
     )
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index e4b72875..5fac0fc2 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -166,7 +166,7 @@
 # --------------------
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
-close_to_i2.plot(ax)
+close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
 ax.set_xlim(-13, 20), ax.set_ylim(-36.5, -20), ax.grid()
 ax = fig.add_axes([0.08, 0.67, 0.55, 0.3])
 _ = close_to_i2.display_timeline(ax, field="latitude")
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index ee17f905..8c4d4752 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -170,7 +170,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Creteria for rejecting a contour\n0. - Accepted (green)\n1. - Rejection for shape error (red)\n2. - Masked value within contour (blue)\n3. - Under or over the pixel limit bounds (black)\n4. - Amplitude criterion (yellow)\n\n"
+        "Criteria for rejecting a contour:\n 0. - Accepted (green)\n 1. - Rejection for shape error (red)\n 2. - Masked value within contour (blue)\n 3. - Under or over the pixel limit bounds (black)\n 4. - Amplitude criterion (yellow)\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index 3e7567d8..cf357d7b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -235,7 +235,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected\")\na.display(ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
+        "ax = start_axes(\"Eddies detected\")\na.display(\n    ax, color=\"r\", linewidth=0.75, label=\"Anticyclonic ({nb_obs} eddies)\", ref=-10\n)\nc.display(ax, color=\"b\", linewidth=0.75, label=\"Cyclonic ({nb_obs} eddies)\", ref=-10)\nax.legend()\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 06d65865..4dec3709 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(ax, lw=0.75, label=\"Eddies in the filtered grid ({nb_obs} eddies)\", ref=-10, color=\"k\")\nmerge_t.display(ax, lw=0.75, label=\"Eddies without filter ({nb_obs} eddies)\", ref=-10, color=\"r\")\nax.legend()\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Eddies detected over ADT\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15)\nmerge_f.display(\n    ax,\n    lw=0.75,\n    label=\"Eddies in the filtered grid ({nb_obs} eddies)\",\n    ref=-10,\n    color=\"k\",\n)\nmerge_t.display(\n    ax, lw=0.75, label=\"Eddies without filter ({nb_obs} eddies)\", ref=-10, color=\"r\"\n)\nax.legend()\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index a7ff8efe..083a5a5a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -66,7 +66,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_a_adt = dict(lw=0.5, label=\"Anticyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"k\")\nkwargs_c_adt = dict(lw=0.5, label=\"Cyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"r\")\nkwargs_a_sla = dict(lw=0.5, label=\"Anticyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"g\")\nkwargs_c_sla = dict(lw=0.5, label=\"Cyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"b\")"
+        "kwargs_a_adt = dict(\n    lw=0.5, label=\"Anticyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"k\"\n)\nkwargs_c_adt = dict(lw=0.5, label=\"Cyclonic ADT ({nb_obs} eddies)\", ref=-10, color=\"r\")\nkwargs_a_sla = dict(\n    lw=0.5, label=\"Anticyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"g\"\n)\nkwargs_c_sla = dict(lw=0.5, label=\"Cyclonic SLA ({nb_obs} eddies)\", ref=-10, color=\"b\")"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index 36b2adc1..df79f8ea 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"All tracks ({nb_tracks} tracks)\")\nc_subset.plot(ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks ({nb_tracks} tracks)\")\nax.plot(\n    (x0, x0, x1, x1, x0),\n    (y0, y1, y1, y0, y0),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
+        "fig = plt.figure(figsize=(12, 5))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_xlim(-1, 9)\nax.set_ylim(36, 40)\nax.set_aspect(\"equal\")\nax.grid()\nc.plot(ax, color=\"gray\", lw=0.1, ref=-10, label=\"All tracks ({nb_tracks} tracks)\")\nc_subset.plot(\n    ax, color=\"red\", lw=0.2, ref=-10, label=\"selected tracks ({nb_tracks} tracks)\"\n)\nax.plot(\n    (x0, x0, x1, x1, x0),\n    (y0, y1, y1, y0, y0),\n    color=\"green\",\n    lw=1.5,\n    label=\"Box of selection\",\n)\nax.legend()"
       ]
     }
   ],
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 77e739bf..15a4362b 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Count center\n\nDo Geo stat with center and compare with frequency method show: `sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`\n"
+        "\n# Count center\n\nDo Geo stat with center and compare with frequency method\nshow: `sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index e15daf26..902ed654 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Count pixel used\n\nDo Geo stat with frequency and compare with center count method: `sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`\n"
+        "\n# Count pixel used\n\nDo Geo stat with frequency and compare with center count\nmethod: `sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`\n"
       ]
     },
     {
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
index 20215604..b593f21b 100644
--- a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt\nfrom matplotlib import rc\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
+        "import matplotlib.animation as animation\nfrom matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import array, empty\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import uniform_resample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import vertice_overlap, visvalingam\n\n\n@njit(cache=True)\ndef visvalingam_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = visvalingam(x[i], y[i], nb_pt)\n    return x_new, y_new\n\n\n@njit(cache=True)\ndef uniform_resample_polys(x, y, nb_pt):\n    nb = x.shape[0]\n    x_new = empty((nb, nb_pt), dtype=x.dtype)\n    y_new = empty((nb, nb_pt), dtype=y.dtype)\n    for i in range(nb):\n        x_new[i], y_new[i] = uniform_resample(x[i], y[i], fixed_size=nb_pt)\n    return x_new, y_new\n\n\ndef update_line(num):\n    nb = 50 - num - 20\n    x_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_v, y_v)):\n        lines_v[i].set_data(x_, y_)\n    x_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb)\n    for i, (x_, y_) in enumerate(zip(x_u, y_u)):\n        lines_u[i].set_data(x_, y_)\n    scores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\n    scores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\n    for i, (s_v, s_u) in enumerate(zip(scores_v, scores_u)):\n        texts[i].set_text(f\"Score uniform {s_u:.1f} %\\nScore visvalingam {s_v:.1f} %\")\n    title.set_text(f\"{nb} points by contour in place of 50\")\n    return (title, *lines_u, *lines_v, *texts)"
       ]
     },
     {

From 5f5a62205477763ac4963f38694215bcb93e2e6a Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 29 Jan 2021 10:57:43 +0100
Subject: [PATCH 224/441] - add method to map method on segment - allow to appy
 color_cycle on map - add next_cost and previous_cost in variable

---
 src/py_eddy_tracker/__init__.py              | 20 ++++
 src/py_eddy_tracker/observations/network.py  | 96 +++++++++++++++++---
 src/py_eddy_tracker/observations/tracking.py | 10 +-
 3 files changed, 109 insertions(+), 17 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index a8f92db5..a4e0d8d6 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -403,6 +403,26 @@ def parse_args(self, *args, **kwargs):
             comment="Index of next obs, if there are a merging",
         ),
     ),
+    previous_cost=dict(
+        attr_name=None,
+        nc_name="previous_cost",
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Previous cost for previous obs",
+            comment="",
+        ),
+    ),
+    next_cost=dict(
+        attr_name=None,
+        nc_name="next_cost",
+        nc_type="float32",
+        nc_dims=("obs",),
+        nc_attr=dict(
+            long_name="Next cost for next obs",
+            comment="",
+        ),
+    ),
     n=dict(
         attr_name=None,
         nc_name="observation_number",
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 8b7e4e2b..d9a185de 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -68,9 +68,27 @@ class NetworkObservations(EddiesObservations):
     @property
     def elements(self):
         elements = super().elements
-        elements.extend(["track", "segment", "next_obs", "previous_obs"])
+        elements.extend(
+            [
+                "track",
+                "segment",
+                "next_obs",
+                "previous_obs",
+                "next_cost",
+                "previous_cost",
+            ]
+        )
         return list(set(elements))
 
+    def astype(self, cls):
+        new = cls.new_like(self, self.shape)
+        print()
+        for k in new.obs.dtype.names:
+            if k in self.obs.dtype.names:
+                new[k][:] = self[k][:]
+        new.sign_type = self.sign_type
+        return new
+
     def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         """
         Select network on time duration
@@ -81,7 +99,7 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         if nb_day_max < 0:
             nb_day_max = 1000000000000
         mask = zeros(self.shape, dtype="bool")
-        for i, b0, b1 in self.iter_on(self.segment_track_array()):
+        for i, b0, b1 in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -115,6 +133,8 @@ def from_split_network(cls, group_dataset, indexs, **kwargs):
         translate[index_order] = arange(index_order.shape[0])
         network.next_obs[:] = translate[n]
         network.previous_obs[:] = translate[p]
+        network.next_cost[:] = indexs["next_cost"][index_order]
+        network.previous_cost[:] = indexs["previous_cost"][index_order]
         return network
 
     def infos(self, label=""):
@@ -205,7 +225,7 @@ def position_filter(self, median_half_window, loess_half_window):
 
     def loess_filter(self, half_window, xfield, yfield, inplace=True):
         result = track_loess_filter(
-            half_window, self.obs[xfield], self.obs[yfield], self.segment_track_array()
+            half_window, self.obs[xfield], self.obs[yfield], self.segment_track_array
         )
         if inplace:
             self.obs[yfield] = result
@@ -214,7 +234,7 @@ def loess_filter(self, half_window, xfield, yfield, inplace=True):
 
     def median_filter(self, half_window, xfield, yfield, inplace=True):
         result = track_median_filter(
-            half_window, self[xfield], self[yfield], self.segment_track_array()
+            half_window, self[xfield], self[yfield], self.segment_track_array
         )
         if inplace:
             self[yfield][:] = result
@@ -316,18 +336,59 @@ def event_timeline(self, ax, field=None, method=None, factor=1):
             j += 1
         return mappables
 
-    def scatter_timeline(self, ax, name, factor=1, event=True, **kwargs):
+    def mean_by_segment(self, y, **kw):
+        kw["dtype"] = y.dtype
+        return self.map_segment(lambda x: x.mean(), y, **kw)
+
+    def map_segment(self, method, y, same=True, **kw):
+        if same:
+            out = empty(y.shape, **kw)
+        else:
+            out = list()
+        for i, b0, b1 in self.iter_on(self.segment_track_array):
+            res = method(y[i])
+            if same:
+                out[i] = res
+            else:
+                if isinstance(i, slice):
+                    if i.start == i.stop:
+                        continue
+                elif len(i) == 0:
+                    continue
+                out.append(res)
+        if not same:
+            out = array(out)
+        return out
+
+    def scatter_timeline(
+        self,
+        ax,
+        name,
+        factor=1,
+        event=True,
+        yfield=None,
+        yfactor=1,
+        method=None,
+        **kwargs,
+    ):
         """
         Must be call on only one network
         """
         self.only_one_network()
+        y = (self.segment if yfield is None else self[yfield]) * yfactor
+        if method == "all":
+            pass
+        else:
+            y = self.mean_by_segment(y)
         mappables = dict()
         if event:
-            mappables.update(self.event_timeline(ax))
+            mappables.update(
+                self.event_timeline(ax, field=yfield, method=method, factor=yfactor)
+            )
         if "c" not in kwargs:
             v = self.parse_varname(name)
             kwargs["c"] = v * factor
-        mappables["scatter"] = ax.scatter(self.time, self.segment, **kwargs)
+        mappables["scatter"] = ax.scatter(self.time, y, **kwargs)
         return mappables
 
     def insert_virtual(self):
@@ -350,13 +411,14 @@ def extract_event(self, indices):
         new.sign_type = self.sign_type
         return new
 
+    @property
     def segment_track_array(self):
         return build_unique_array(self.segment, self.track)
 
     def birth_event(self):
         # FIXME how to manage group 0
         indices = list()
-        for i, _, _ in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -368,7 +430,7 @@ def birth_event(self):
     def death_event(self):
         # FIXME how to manage group 0
         indices = list()
-        for i, _, _ in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -379,7 +441,7 @@ def death_event(self):
 
     def merging_event(self):
         indices = list()
-        for i, _, _ in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -390,7 +452,7 @@ def merging_event(self):
 
     def spliting_event(self):
         indices = list()
-        for i, _, _ in self.iter_on(self.segment_track_array()):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
@@ -403,7 +465,7 @@ def fully_connected(self):
         self.only_one_network()
         # TODO
 
-    def plot(self, ax, ref=None, **kwargs):
+    def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         """
         This function will draw path of each trajectory
 
@@ -412,17 +474,25 @@ def plot(self, ax, ref=None, **kwargs):
         :param dict kwargs: keyword arguments for Axes.plot
         :return: a list of matplotlib mappables
         """
+        nb_colors = 0
+        if color_cycle is not None:
+            kwargs = kwargs.copy()
+            nb_colors = len(color_cycle)
         mappables = list()
         if "label" in kwargs:
             kwargs["label"] = self.format_label(kwargs["label"])
-        for i, b0, b1 in self.iter_on("segment"):
+        j = 0
+        for i, _, _ in self.iter_on("segment"):
             nb = i.stop - i.start
             if nb == 0:
                 continue
+            if nb_colors:
+                kwargs["color"] = color_cycle[j % nb_colors]
             x, y = self.lon[i], self.lat[i]
             if ref is not None:
                 x, y = wrap_longitude(x, y, ref, cut=True)
             mappables.append(ax.plot(x, y, **kwargs)[0])
+            j += 1
         return mappables
 
     def remove_dead_branch(self, nobs=3):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 076d2975..2b989910 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -678,7 +678,7 @@ def set_tracks(self, x, y, ids, window, **kwargs):
             self.follow_obs(i, track_id, used, ids, x, y, *time_index, window, **kwargs)
             track_id += 1
             # Search a possible ancestor (backward)
-            self.previous_obs(i, ids, x, y, *time_index, window, **kwargs)
+            self.get_previous_obs(i, ids, x, y, *time_index, window, **kwargs)
 
     @classmethod
     def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
@@ -690,7 +690,7 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
             # Assign id
             ids["track"][i_next] = track_id
             # Search next
-            i_next_ = cls.next_obs(i_next, ids, *args, **kwargs)
+            i_next_ = cls.get_next_obs(i_next, ids, *args, **kwargs)
             if i_next_ == -1:
                 break
             ids["next_obs"][i_next] = i_next_
@@ -706,7 +706,9 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
             i_next = i_next_
 
     @staticmethod
-    def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+    def get_previous_obs(
+        i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs
+    ):
         """Backward association of observations to the segments"""
 
         time_cur = ids["time"][i_current]
@@ -736,7 +738,7 @@ def previous_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
             break
 
     @staticmethod
-    def next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+    def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
         time_cur = ids["time"][i_current]

From 9746a7a3c19cfce997d3fff3789fe635a9756394 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 29 Jan 2021 23:26:15 +0100
Subject: [PATCH 225/441] first version to fit an ellips

---
 .../pet_eddy_detection.py                     | 11 ++--
 examples/14_generic_tools/pet_fit_contour.py  |  0
 .../pet_eddy_detection.ipynb                  |  4 +-
 src/py_eddy_tracker/observations/tracking.py  |  2 +-
 src/py_eddy_tracker/poly.py                   | 59 ++++++++++++++++++-
 5 files changed, 65 insertions(+), 11 deletions(-)
 create mode 100644 examples/14_generic_tools/pet_fit_contour.py

diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index d4f7848a..bf73bae2 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -143,10 +143,9 @@ def update_axes(ax, mappable=None):
 # %%
 # Display the speed radius of the detected eddies
 ax = start_axes("Speed Radius (km)")
-a.scatter(ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
-m = c.scatter(
-    ax, "radius_s", vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001
-)
+kwargs = dict(vmin=10, vmax=50, s=80, ref=-10, cmap="magma_r", factor=0.001)
+a.scatter(ax, "radius_s", **kwargs)
+m = c.scatter(ax, "radius_s", **kwargs)
 update_axes(ax, m)
 
 # %%
@@ -154,7 +153,5 @@ def update_axes(ax, mappable=None):
 ax = start_axes("Effective Radius (km)")
 kwargs = dict(vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10)
 a.filled(ax, "effective_radius", **kwargs)
-m = c.filled(
-    ax, "radius_e", vmin=10, vmax=80, cmap="magma_r", factor=0.001, lut=14, ref=-10
-)
+m = c.filled(ax, "radius_e", **kwargs)
 update_axes(ax, m)
diff --git a/examples/14_generic_tools/pet_fit_contour.py b/examples/14_generic_tools/pet_fit_contour.py
new file mode 100644
index 00000000..e69de29b
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 8c4d4752..938ec054 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -253,7 +253,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Speed Radius (km)\")\na.scatter(ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\nm = c.scatter(\n    ax, \"radius_s\", vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Speed Radius (km)\")\nkwargs = dict(vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\na.scatter(ax, \"radius_s\", **kwargs)\nm = c.scatter(\n    ax, \"radius_s\", **kwargs\n)\nupdate_axes(ax, m)"
       ]
     },
     {
@@ -271,7 +271,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"effective_radius\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"effective_radius\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", **kwargs\n)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 2b989910..685b1427 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -619,7 +619,7 @@ def split_network(self, intern=True, **kwargs):
             dtype=[
                 ("group", self.tracks.dtype),
                 ("time", self.time.dtype),
-                ("track", "u2"),
+                ("track", "u4"),
                 ("previous_cost", "f4"),
                 ("next_cost", "f4"),
                 ("previous_obs", "i4"),
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index da39d707..2ca8b109 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -7,7 +7,7 @@
 
 from numba import njit, prange
 from numba import types as numba_types
-from numpy import array, concatenate, empty, nan, ones, pi, where
+from numpy import arctan, array, concatenate, empty, nan, ones, pi, where
 from numpy.linalg import lstsq
 from Polygon import Polygon
 
@@ -471,6 +471,7 @@ def polygon_overlap(p0, p1, minimal_area=False):
     return cost
 
 
+# FIXME: only one function are needed
 @njit(cache=True)
 def fit_circle(x, y):
     """
@@ -517,6 +518,62 @@ def fit_circle(x, y):
     return x0, y0, radius, err
 
 
+@njit(cache=True)
+def fit_ellips(x, y):
+    r"""
+    From a polygon, function will fit an ellips.
+
+    Must be call with local coordinates (in m, to get a radius in m).
+
+    .. math:: (\frac{x - x_0}{a})^2 + (\frac{y - y_0}{b})^2 = 1
+
+    .. math:: (\frac{x^2 - 2 * x * x_0 + x_0 ^2}{a^2}) + \frac{y^2 - 2 * y * y_0 + y_0 ^2}{b^2}) = 1
+
+    In case of angle
+    https://en.wikipedia.org/wiki/Ellipse
+
+    """
+    # x,y = x[1:],y[1:]
+    nb = x.shape[0]
+    datas = ones((nb, 5), dtype=x.dtype)
+    datas[:, 0] = x ** 2
+    datas[:, 1] = x * y
+    datas[:, 2] = y ** 2
+    datas[:, 3] = x
+    datas[:, 4] = y
+    (a, b, c, d, e), _, _, _ = lstsq(datas, ones(nb, dtype=x.dtype))
+    det = b ** 2 - 4 * a * c
+    if det > 0:
+        print(det)
+    x0 = (2 * c * d - b * e) / det
+    y0 = (2 * a * e - b * d) / det
+
+    A = (
+        -(
+            (
+                2
+                * (a * e ** 2 + c * d ** 2 - b * d * e - det)
+                * (a + c + ((a - c) ** 2 + b ** 2) ** 0.5)
+            )
+            ** 0.5
+        )
+        / det
+    )
+    B = (
+        -(
+            (
+                2
+                * (a * e ** 2 + c * d ** 2 - b * d * e - det)
+                * (a + c - ((a - c) ** 2 + b ** 2) ** 0.5)
+            )
+            ** 0.5
+        )
+        / det
+    )
+    theta = arctan((c - a - ((a - c) ** 2 + b ** 2) ** 0.5) / b)
+    return x0, y0, A, B, theta
+
+
 @njit(cache=True)
 def fit_circle_(x, y):
     r"""

From 9653441a9e54d5e26a42c041c6a38dae8a058257 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 1 Feb 2021 12:06:06 +0100
Subject: [PATCH 226/441] full example fit contour

---
 examples/14_generic_tools/pet_fit_contour.py  | 61 +++++++++++++++++
 .../14_generic_tools/pet_fit_contour.ipynb    | 65 +++++++++++++++++++
 src/py_eddy_tracker/poly.py                   | 29 ++-------
 3 files changed, 132 insertions(+), 23 deletions(-)
 create mode 100644 notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb

diff --git a/examples/14_generic_tools/pet_fit_contour.py b/examples/14_generic_tools/pet_fit_contour.py
index e69de29b..34cda453 100644
--- a/examples/14_generic_tools/pet_fit_contour.py
+++ b/examples/14_generic_tools/pet_fit_contour.py
@@ -0,0 +1,61 @@
+"""
+Contour fit
+===========
+
+Two type of fit :
+ - Ellipse
+ - Circle
+
+In the two case we use a least square algorithm
+"""
+
+from matplotlib import pyplot as plt
+from numpy import cos, linspace, radians, sin
+
+from py_eddy_tracker import data
+from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
+from py_eddy_tracker.observations.observation import EddiesObservations
+from py_eddy_tracker.poly import fit_circle_, fit_ellips
+
+# %%
+# Load example identification file
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+
+# %%
+# Function to draw circle or ellips from parameter
+def build_circle(x0, y0, r):
+    angle = radians(linspace(0, 360, 50))
+    x_norm, y_norm = cos(angle), sin(angle)
+    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)
+
+
+def build_ellips(x0, y0, a, b, theta):
+    angle = radians(linspace(0, 360, 50))
+    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)
+    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)
+    return local_to_coordinates(x, y, x0, y0)
+
+
+# %%
+# Plot fitted circle or ellips on stored contour
+xs, ys = a.contour_lon_s, a.contour_lat_s
+
+fig = plt.figure(figsize=(15, 15))
+
+j = 1
+for i in range(0, 800, 30):
+    x, y = xs[i], ys[i]
+    x0_, y0_ = x.mean(), y.mean()
+    x_, y_ = coordinates_to_local(x, y, x0_, y0_)
+    ax = fig.add_subplot(4, 4, j)
+    ax.grid(), ax.set_aspect("equal")
+    ax.plot(x, y, label="store", color="black")
+    x0, y0, a, b, theta = fit_ellips(x_, y_)
+    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)
+    ax.plot(*build_ellips(x0, y0, a, b, theta), label="ellips", color="green")
+    x0, y0, radius, shape_error = fit_circle_(x_, y_)
+    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)
+    ax.plot(*build_circle(x0, y0, radius), label="circle", color="red", lw=0.5)
+    if j == 16:
+        break
+    j += 1
diff --git a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
new file mode 100644
index 00000000..9a211723
--- /dev/null
+++ b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
@@ -0,0 +1,65 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Contour fit\n\nTwo type of fit :\n - Ellipse\n - Circle\n\nIn the two case we use a least square algorithm\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from py_eddy_tracker.poly import fit_circle_, fit_ellips, fit_circle\nfrom py_eddy_tracker.generic import local_to_coordinates, coordinates_to_local\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom numpy import radians, linspace, cos, sin\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\n\n\ndef build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)\n\ndef build_ellips(x0, y0, a, b, theta):\n    angle = radians(linspace(0, 360, 50))\n    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)\n    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)\n    return local_to_coordinates(x, y, x0, y0)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "xs,ys=a.contour_lon_s,a.contour_lat_s\n\nfor i in range(20):\n    x, y = xs[i], ys[i]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x,y, x0_, y0_)\n    fig = plt.figure()\n    ax = fig.add_subplot(111)\n    ax.grid(), ax.set_aspect('equal')\n    ax.plot(x, y, label='store')\n    x0, y0, a,b, theta = fit_ellips(x_,y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_ellips(x0, y0, a,b, theta), label='ellips')\n    x0, y0, radius, shape_error = fit_circle_(x_,y_)\n    x0,y0 = local_to_coordinates(x0,y0, x0_, y0_)\n    ax.plot(*build_circle(x0,y0, radius), label='circle')\n    ax.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 2ca8b109..d1bf5fb8 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -548,29 +548,12 @@ def fit_ellips(x, y):
     x0 = (2 * c * d - b * e) / det
     y0 = (2 * a * e - b * d) / det
 
-    A = (
-        -(
-            (
-                2
-                * (a * e ** 2 + c * d ** 2 - b * d * e - det)
-                * (a + c + ((a - c) ** 2 + b ** 2) ** 0.5)
-            )
-            ** 0.5
-        )
-        / det
-    )
-    B = (
-        -(
-            (
-                2
-                * (a * e ** 2 + c * d ** 2 - b * d * e - det)
-                * (a + c - ((a - c) ** 2 + b ** 2) ** 0.5)
-            )
-            ** 0.5
-        )
-        / det
-    )
-    theta = arctan((c - a - ((a - c) ** 2 + b ** 2) ** 0.5) / b)
+    AB1 = 2 * (a * e ** 2 + c * d ** 2 - b * d * e - det)
+    AB2 = a + c
+    AB3 = ((a - c) ** 2 + b ** 2) ** 0.5
+    A = -((AB1 * (AB2 + AB3)) ** 0.5) / det
+    B = -((AB1 * (AB2 - AB3)) ** 0.5) / det
+    theta = arctan((c - a - AB3) / b)
     return x0, y0, A, B, theta
 
 

From aa8e774d3820496061441708288f115e84ce2789 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 2 Feb 2021 14:37:52 +0100
Subject: [PATCH 227/441] advection function rk4 and euler

---
 src/py_eddy_tracker/dataset/grid.py | 126 ++++++++++++++++++++++++++--
 1 file changed, 120 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 4f427d63..9356e67b 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -8,7 +8,7 @@
 from cv2 import filter2D
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
-from numba import njit
+from numba import njit, prange
 from numba import types as numba_types
 from numpy import (
     arange,
@@ -21,6 +21,7 @@
     errstate,
     exp,
     float_,
+    floor,
     histogram2d,
     int8,
     int_,
@@ -37,6 +38,7 @@
     ones,
     percentile,
     pi,
+    radians,
     round_,
     sin,
     sinc,
@@ -242,8 +244,6 @@ class GridDataset(object):
     """
 
     __slots__ = (
-        "_x_var",
-        "_y_var",
         "x_c",
         "y_c",
         "x_bounds",
@@ -258,8 +258,6 @@ class GridDataset(object):
         "variables_description",
         "global_attrs",
         "vars",
-        "interpolators",
-        "speed_coef",
         "contours",
     )
 
@@ -295,7 +293,6 @@ def __init__(
         self.coordinates = x_name, y_name
         self.vars = dict()
         self.indexs = dict() if indexs is None else indexs
-        self.interpolators = dict()
         if centered is None:
             logger.warning(
                 "We assume pixel position of grid is center for %s", filename
@@ -1956,6 +1953,123 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
             self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
         )
 
+    def uv_for_advection(self, u_name, v_name, time_step=600, backward=False):
+        """
+        Get U,V to be used in degrees with precomputed time step
+
+        :param str,array u_name: U field to advect obs
+        :param str,array v_name: V field to advect obs
+        :param int time_step: Number of second for each advection
+        """
+        u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy()
+        v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy()
+        # N seconds / 1 degrees in m
+        coef = time_step * 180 / pi / self.EARTH_RADIUS
+        u *= coef / cos(radians(self.y_c))
+        v *= coef
+        if backward:
+            u = -u
+            v = -v
+        m = u.mask + v.mask
+        return u, v, m
+
+@njit(cache=True)
+def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
+    # Grid coordinates
+    x_ref, y_ref = x_g[0], y_g[0]
+    x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    # On each particule
+    for i in prange(x.size):
+        # If particule are not valid => continue
+        if isnan(x[i]) or isnan(y[i]):
+            continue
+        # Iterate on whole steps
+        for _ in range(nb_step):
+            # k1, slope at origin
+            u1, v1 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x[i], y[i])
+            if isnan(u1) or isnan(v1):
+                x[i], y[i] = nan, nan
+                break
+            # k2, slope at middle with first guess position
+            x1, y1 = x[i] + u1*.5, y[i] + v1*.5
+            u2, v2 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x1, y1)
+            if isnan(u2) or isnan(v2):
+                x[i], y[i] = nan, nan
+                break
+            # k3, slope at middle with update guess position
+            x2, y2 = x[i] + u2 * .5, y[i] + v2 * .5
+            u3, v3 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x2, y2)
+            if isnan(u3) or isnan(v3):
+                x[i], y[i] = nan, nan
+                break
+            # k4, slope at end with update guess position
+            x3, y3 = x2 + u3, y2 + v3
+            u4, v4 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x3, y3)
+            if isnan(u4) or isnan(v4):
+                x[i], y[i] = nan, nan
+                break
+            dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
+            dy = (v1 + 2 * v2 + 2 * v3 + v4) / 6
+            # # Compute new x,y
+            x[i] += dx
+            y[i] += dy
+
+
+@njit(cache=True)
+def get_uv(x0, y0, x_step, y_step, u,v, m, x,y):
+    i, j = (x - x0) / x_step, (y - y0) / y_step
+    i0, j0 = int(floor(i)), int(floor(j))
+    i1, j1 = i0 + 1, j0 + 1
+    if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
+        return nan, nan
+    # Extract value for u and v
+    u00, u01, u10, u11 = u[i0, j0], u[i0, j1], u[i1, j0], u[i1, j1]
+    v00, v01, v10, v11 = v[i0, j0], v[i0, j1], v[i1, j0], v[i1, j1]
+    xd, yd = i - i0, j - j0
+    xd_i, yd_i = 1 - xd, 1 - yd
+    u = (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
+    v = (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
+    return u, v
+
+@njit(cache=True)
+def advect(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
+    # Grid coordinates
+    x_ref, y_ref = x_g[0], y_g[0]
+    x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    # Indices which should be never exist
+    i0_old, j0_old = -100000, -100000
+    # On each particule
+    for i in prange(x.size):
+        # If particule are not valid => continue
+        if isnan(x[i]) or isnan(y[i]):
+            continue
+        # Iterate on whole steps
+        for _ in range(nb_step):
+            # Compute coordinates in indice referentiel
+            x_, y_ = (x[i] - x_ref) / x_step, (y[i] - y_ref) / y_step
+            # corner bottom left Indice
+            i0_, j0_ = int(floor(x_)), int(floor(y_))
+            i0, j0 = i0_, j0_
+            i1 = i0 + 1
+            # corner are the same need only a new xd and yd
+            if i0 != i0_old or j0 != j0_old:
+                j1 = j0 + 1
+                # If one of nearest pixel is invalid
+                if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
+                    x[i], y[i] = nan, nan
+                    break
+                # Extract value for u and v
+                u00, u01, u10, u11 = u_g[i0, j0], u_g[i0, j1], u_g[i1, j0], u_g[i1, j1]
+                v00, v01, v10, v11 = v_g[i0, j0], v_g[i0, j1], v_g[i1, j0], v_g[i1, j1]
+                # Need to be store only on change
+                i0_old, j0_old = i0, j0
+            # Compute distance
+            xd, yd = x_ - i0_, y_ - j0_
+            xd_i, yd_i = 1 - xd, 1 - yd
+            # Compute new x,y
+            x[i] += (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
+            y[i] += (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
+
 
 @njit(cache=True, fastmath=True)
 def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):

From 9f626f1e33e65262e5a39ed28c6b76887ae663f7 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 3 Feb 2021 15:56:56 +0100
Subject: [PATCH 228/441] method to advect obs with current

---
 src/py_eddy_tracker/dataset/grid.py | 377 ++++++++++++++++++++++++++--
 1 file changed, 361 insertions(+), 16 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 9356e67b..d9d0fced 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1973,6 +1973,64 @@ def uv_for_advection(self, u_name, v_name, time_step=600, backward=False):
         m = u.mask + v.mask
         return u, v, m
 
+    def advect(self, x, y, u_name, v_name, nb_step=10, rk4=False, **kw):
+        """
+        At each call it will update position in place with u & v field
+
+        It's a dummy advection which use only one layer of current
+        :param array x: Longitude of obs to move
+        :param array y: Latitude of obs to move
+        :param str,array u_name: U field to advect obs
+        :param str,array v_name: V field to advect obs
+        :param int nb_step: Number of iteration before to release data
+        :param int time_step: Number of second for each advection
+        """
+        u, v, m = self.uv_for_advection(u_name, v_name, **kw)
+        advect_ = advect_rk4 if rk4 else advect
+        while True:
+            advect_(self.x_c, self.y_c, u, v, m, x, y, nb_step)
+            yield x, y
+
+    def filament(
+        self, x, y, u_name, v_name, nb_step=10, filament_size=6, rk4=False, **kw
+    ):
+        """
+        Produce filament with concatenation of advection
+
+        It's a dummy advection which use only one layer of current
+        :param array x: Longitude of obs to move
+        :param array y: Latitude of obs to move
+        :param str,array u_name: U field to advect obs
+        :param str,array v_name: V field to advect obs
+        :param int nb_step: Number of iteration before to release data
+        :param int time_step: Number of second for each advection
+        :param int filament_size: Number of point by filament
+        :return: x,y for a line
+        """
+        u, v, m = self.uv_for_advection(u_name, v_name, **kw)
+        x, y = x.copy(), y.copy()
+        nb = x.shape[0]
+        filament_size_ = filament_size + 1
+        f_x = empty(nb * filament_size_, dtype="f4")
+        f_y = empty(nb * filament_size_, dtype="f4")
+        f_x[:] = nan
+        f_y[:] = nan
+        f_x[::filament_size_] = x
+        f_y[::filament_size_] = y
+        advect_ = advect_rk4 if rk4 else advect
+        while True:
+            # Shift position
+            f_x[1:] = f_x[:-1]
+            f_y[1:] = f_y[:-1]
+            # Remove last position
+            f_x[filament_size::filament_size_] = nan
+            f_y[filament_size::filament_size_] = nan
+            advect_(self.x_c, self.y_c, u, v, m, x, y, nb_step)
+            f_x[::filament_size_] = x
+            f_y[::filament_size_] = y
+            yield f_x, f_y
+
+
 @njit(cache=True)
 def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
     # Grid coordinates
@@ -1981,42 +2039,64 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
     # On each particule
     for i in prange(x.size):
         # If particule are not valid => continue
-        if isnan(x[i]) or isnan(y[i]):
+        x_, y_ = x[i], y[i]
+        if isnan(x_) or isnan(y_):
             continue
         # Iterate on whole steps
         for _ in range(nb_step):
             # k1, slope at origin
-            u1, v1 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x[i], y[i])
+            u1, v1 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x_, y_)
             if isnan(u1) or isnan(v1):
-                x[i], y[i] = nan, nan
+                x_, y_ = nan, nan
                 break
             # k2, slope at middle with first guess position
-            x1, y1 = x[i] + u1*.5, y[i] + v1*.5
-            u2, v2 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x1, y1)
+            u2, v2 = get_uv(
+                x_ref,
+                y_ref,
+                x_step,
+                y_step,
+                u_g,
+                v_g,
+                m_g,
+                x_ + u1 * 0.5,
+                y_ + v1 * 0.5,
+            )
             if isnan(u2) or isnan(v2):
-                x[i], y[i] = nan, nan
+                x_, y_ = nan, nan
                 break
             # k3, slope at middle with update guess position
-            x2, y2 = x[i] + u2 * .5, y[i] + v2 * .5
-            u3, v3 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x2, y2)
+            u3, v3 = get_uv(
+                x_ref,
+                y_ref,
+                x_step,
+                y_step,
+                u_g,
+                v_g,
+                m_g,
+                x_ + u2 * 0.5,
+                y_ + v2 * 0.5,
+            )
             if isnan(u3) or isnan(v3):
-                x[i], y[i] = nan, nan
+                x_, y_ = nan, nan
                 break
             # k4, slope at end with update guess position
-            x3, y3 = x2 + u3, y2 + v3
-            u4, v4 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x3, y3)
+            u4, v4 = get_uv(
+                x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x_ + u3, y_ + v3
+            )
             if isnan(u4) or isnan(v4):
-                x[i], y[i] = nan, nan
+                x_, y_ = nan, nan
                 break
             dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
             dy = (v1 + 2 * v2 + 2 * v3 + v4) / 6
-            # # Compute new x,y
-            x[i] += dx
-            y[i] += dy
+            # Compute new x,y
+            x_ += dx
+            y_ += dy
+        x[i] = x_
+        y[i] = y_
 
 
 @njit(cache=True)
-def get_uv(x0, y0, x_step, y_step, u,v, m, x,y):
+def get_uv(x0, y0, x_step, y_step, u, v, m, x, y):
     i, j = (x - x0) / x_step, (y - y0) / y_step
     i0, j0 = int(floor(i)), int(floor(j))
     i1, j1 = i0 + 1, j0 + 1
@@ -2031,6 +2111,7 @@ def get_uv(x0, y0, x_step, y_step, u,v, m, x,y):
     v = (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
     return u, v
 
+
 @njit(cache=True)
 def advect(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
     # Grid coordinates
@@ -2158,3 +2239,267 @@ def has_value(grid, i_x, i_y, value, below=False):
             if grid[i, j] > value:
                 return True
     return False
+
+
+class GridCollection:
+    def __init__(self):
+        self.datasets = list()
+
+    @classmethod
+    def from_netcdf_cube(cls, filename, x_name, y_name, t_name):
+        new = cls()
+        with Dataset(filename) as h:
+            for i, t in enumerate(h.variables[t_name][:]):
+                d = RegularGridDataset(filename, x_name, y_name, indexs={t_name: i})
+                d.add_uv("adt")
+                new.datasets.append((t, d))
+        return new
+
+    def filament(
+        self,
+        x,
+        y,
+        u_name,
+        v_name,
+        t_init,
+        nb_step=10,
+        time_step=600,
+        filament_size=6,
+        rk4=False,
+        **kw,
+    ):
+        """
+        Produce filament with concatenation of advection
+
+        It's a dummy advection which use only one layer of current
+        :param array x: Longitude of obs to move
+        :param array y: Latitude of obs to move
+        :param str,array u_name: U field to advect obs
+        :param str,array v_name: V field to advect obs
+        :param int nb_step: Number of iteration before to release data
+        :param int time_step: Number of second for each advection
+        :param int filament_size: Number of point by filament
+        :return: x,y for a line
+        """
+        x, y = x.copy(), y.copy()
+        nb = x.shape[0]
+        filament_size_ = filament_size + 1
+        f_x = empty(nb * filament_size_, dtype="f4")
+        f_y = empty(nb * filament_size_, dtype="f4")
+        f_x[:] = nan
+        f_y[:] = nan
+        f_x[::filament_size_] = x
+        f_y[::filament_size_] = y
+
+        backward = kw.get("backward", False)
+        if backward:
+            generator = self.get_previous_time_step(t_init)
+            dt = -nb_step * time_step
+            t_step = -time_step
+        else:
+            generator = self.get_next_time_step(t_init)
+            dt = nb_step * time_step
+            t_step = time_step
+        t0, d0 = generator.__next__()
+        u0, v0, m0 = d0.uv_for_advection(u_name, v_name, time_step, **kw)
+        t1, d1 = generator.__next__()
+        u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+        t0 = t0 * 86400
+        t1 = t1 * 86400
+        t = t_init * 86400
+        advect_ = advect_t_rk4 if rk4 else advect_t
+        while True:
+            # Shift position
+            f_x[1:] = f_x[:-1]
+            f_y[1:] = f_y[:-1]
+            # Remove last position
+            f_x[filament_size::filament_size_] = nan
+            f_y[filament_size::filament_size_] = nan
+
+            if (backward and t <= t1) or (not backward and t >= t1):
+                t0, u0, v0, m0 = t1, u1, v1, m1
+                t1, d1 = generator.__next__()
+                t1 = t1 * 86400
+                u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+            w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
+            half_w = t_step / 2.0 / (t1 - t0)
+            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, w, half_w=half_w)
+            f_x[::filament_size_] = x
+            f_y[::filament_size_] = y
+            t += dt
+            yield t, f_x, f_y
+
+    def advect(
+        self,
+        x,
+        y,
+        u_name,
+        v_name,
+        t_init,
+        nb_step=10,
+        time_step=600,
+        rk4=False,
+        **kw,
+    ):
+        backward = kw.get("backward", False)
+        if backward:
+            generator = self.get_previous_time_step(t_init)
+            dt = -nb_step * time_step
+            t_step = -time_step
+        else:
+            generator = self.get_next_time_step(t_init)
+            dt = nb_step * time_step
+            t_step = time_step
+        t0, d0 = generator.__next__()
+        u0, v0, m0 = d0.uv_for_advection(u_name, v_name, time_step, **kw)
+        t1, d1 = generator.__next__()
+        u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+        t0 = t0 * 86400
+        t1 = t1 * 86400
+        t = t_init * 86400
+        advect_ = advect_t_rk4 if rk4 else advect_t
+        while True:
+            if (backward and t <= t1) or (not backward and t >= t1):
+                t0, u0, v0, m0 = t1, u1, v1, m1
+                t1, d1 = generator.__next__()
+                t1 = t1 * 86400
+                u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+            w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
+            half_w = t_step / 2.0 / (t1 - t0)
+            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, w, half_w=half_w)
+            t += dt
+            yield t, x, y
+
+    def get_next_time_step(self, t_init):
+        first = True
+        for i, (t, dataset) in enumerate(self.datasets):
+            if t < t_init:
+                continue
+            if first:
+                first = False
+                yield self.datasets[i - 1]
+            yield t, dataset
+
+    def get_previous_time_step(self, t_init):
+        first = True
+        i = len(self.datasets)
+        for t, dataset in reversed(self.datasets):
+            i -= 1
+            if t > t_init:
+                continue
+            if first:
+                first = False
+                yield self.datasets[i + 1]
+            yield t, dataset
+
+
+@njit(cache=True)
+def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w=0):
+    # Grid coordinates
+    x_ref, y_ref = x_g[0], y_g[0]
+    x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    # Indices which should be never exist
+    i0_old, j0_old = -100000, -100000
+    # On each particule
+    for i in prange(x.size):
+        # If particule are not valid => continue
+        if isnan(x[i]) or isnan(y[i]):
+            continue
+        # Iterate on whole steps
+        for w in weigths:
+            # Compute coordinates in indice referentiel
+            x_, y_ = (x[i] - x_ref) / x_step, (y[i] - y_ref) / y_step
+            # corner bottom left Indice
+            i0_, j0_ = int(floor(x_)), int(floor(y_))
+            i0, j0 = i0_, j0_
+            i1 = i0 + 1
+            # corner are the same need only a new xd and yd
+            if i0 != i0_old or j0 != j0_old:
+                j1 = j0 + 1
+                # If one of nearest pixel is invalid
+                if (
+                    m_g0[i0, j0]
+                    or m_g0[i0, j1]
+                    or m_g0[i1, j0]
+                    or m_g0[i1, j1]
+                    or m_g1[i0, j0]
+                    or m_g1[i0, j1]
+                    or m_g1[i1, j0]
+                    or m_g1[i1, j1]
+                ):
+                    x[i], y[i] = nan, nan
+                    break
+                # Extract value for u and v
+                u000, u001 = u_g0[i0, j0], u_g0[i0, j1]
+                u010, u011 = u_g0[i1, j0], u_g0[i1, j1]
+                v000, v001 = v_g0[i0, j0], v_g0[i0, j1]
+                v010, v011 = v_g0[i1, j0], v_g0[i1, j1]
+                u100, u101 = u_g1[i0, j0], u_g1[i0, j1]
+                u110, u111 = u_g1[i1, j0], u_g1[i1, j1]
+                v100, v101 = v_g1[i0, j0], v_g1[i0, j1]
+                v110, v111 = v_g1[i1, j0], v_g1[i1, j1]
+                # Need to be store only on change
+                i0_old, j0_old = i0, j0
+            # Compute distance
+            xd, yd = x_ - i0_, y_ - j0_
+            xd_i, yd_i = 1 - xd, 1 - yd
+            # Compute new x,y
+            dx0 = (u000 * xd_i + u010 * xd) * yd_i + (u001 * xd_i + u011 * xd) * yd
+            dx1 = (u100 * xd_i + u110 * xd) * yd_i + (u101 * xd_i + u111 * xd) * yd
+            dy0 = (v000 * xd_i + v010 * xd) * yd_i + (v001 * xd_i + v011 * xd) * yd
+            dy1 = (v100 * xd_i + v110 * xd) * yd_i + (v101 * xd_i + v111 * xd) * yd
+            x[i] += dx0 * w + dx1 * (1 - w)
+            y[i] += dy0 * w + dy1 * (1 - w)
+
+
+@njit(cache=True)
+def advect_t_rk4(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w):
+    # Grid coordinates
+    x_ref, y_ref = x_g[0], y_g[0]
+    x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    # On each particule
+    for i in prange(x.size):
+        # If particule are not valid => continue
+        x_, y_ = x[i], y[i]
+        if isnan(x_) or isnan(y_):
+            continue
+        # Iterate on whole steps
+        for w in weigths:
+            # k1, slope at origin
+            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x_, y_)
+            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x_, y_)
+            u1, v1 = u0_ * w + u1_ * (1 - w), v0_ * w + v1_ * (1 - w)
+            if isnan(u1) or isnan(v1):
+                x_, y_ = nan, nan
+                break
+            # k2, slope at middle with first guess position
+            x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
+            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x1, y1)
+            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x1, y1)
+            w_ = w - half_w
+            u2, v2 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
+            if isnan(u2) or isnan(v2):
+                x_, y_ = nan, nan
+                break
+            # k3, slope at middle with update guess position
+            x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
+            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x2, y2)
+            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x2, y2)
+            u3, v3 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
+            if isnan(u3) or isnan(v3):
+                x_, y_ = nan, nan
+                break
+            # k4, slope at end with update guess position
+            x3, y3 = x_ + u3, y_ + v3
+            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x3, y3)
+            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x3, y3)
+            w_ -= half_w
+            u4, v4 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
+            if isnan(u4) or isnan(v4):
+                x_, y_ = nan, nan
+                break
+            dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
+            dy = (v1 + 2 * v2 + 2 * v3 + v4) / 6
+            x_ += dx
+            y_ += dy
+        x[i], y[i] = x_, y_

From 3c92d8287b553a6eb02c585c7f2115df576c5abb Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 3 Feb 2021 16:06:29 +0100
Subject: [PATCH 229/441] Example how to run again a segmentation

---
 .../16_network/pet_replay_segmentation.py     | 210 ++++++++++++++++++
 1 file changed, 210 insertions(+)
 create mode 100644 examples/16_network/pet_replay_segmentation.py

diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
new file mode 100644
index 00000000..67c89127
--- /dev/null
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -0,0 +1,210 @@
+"""
+Replay segmentation
+===================
+Case from figure 10 from https://doi.org/10.1002/2017JC013158
+
+"""
+from datetime import datetime, timedelta
+
+import numpy as np
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from matplotlib.ticker import FuncFormatter
+
+import py_eddy_tracker.gui
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+
+# %%
+# Function used to do quick display
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        return self.to_html5_video()
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as h:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+@FuncFormatter
+def formatter(x, pos):
+    return (timedelta(x) + datetime(1950, 1, 1)).strftime("%d/%m/%Y")
+
+
+def start_axes(title=""):
+    fig = plt.figure(figsize=(13, 6))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
+    ax.set_aspect("equal")
+    ax.set_title(title, weight="bold")
+    ax.update_env()
+    return ax
+
+
+def timeline_axes(title=""):
+    fig = plt.figure(figsize=(15, 5))
+    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])
+    ax.set_title(title, weight="bold")
+    ax.xaxis.set_major_formatter(formatter), ax.grid()
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid(True)
+    if mappable:
+        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Class for new_segmentation
+# --------------------------
+# The oldest win
+class MyTrackEddiesObservations(TrackEddiesObservations):
+    __slots__ = tuple()
+
+    @classmethod
+    def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
+        """
+        Method to overwrite behaviour in merging.
+
+        We will give the point to the older one
+        """
+        while i_next != -1:
+            # Flag
+            used[i_next] = True
+            # Assign id
+            ids["track"][i_next] = track_id
+            # Search next
+            i_next_ = cls.get_next_obs(i_next, ids, *args, **kwargs)
+            if i_next_ == -1:
+                break
+            ids["next_obs"][i_next] = i_next_
+            # Target was previously used
+            if used[i_next_]:
+                # if ids["next_cost"][i_next] == ids["previous_cost"][i_next_]:
+                #     print(ids[i_next])
+                #     print(ids[i_next_])
+                #     m = ids["track"][i_next_:] == ids["track"][i_next_]
+                #     ids["track"][i_next_:][m] = track_id
+                #     ids["previous_obs"][i_next_] = i_next
+                i_next_ = -1
+            else:
+                ids["previous_obs"][i_next_] = i_next
+            i_next = i_next_
+
+
+def get_obs(dataset):
+    "Function to isolate a specific obs"
+    return np.where(
+        (dataset.lat > 33)
+        * (dataset.lat < 34)
+        * (dataset.lon > 22)
+        * (dataset.lon < 23)
+        * (dataset.time > 20630)
+        * (dataset.time < 20650)
+    )[0][0]
+
+
+# %%
+# Get original network, we will isolate only relative at order *2*
+n = NetworkObservations.load_file(
+    "/tmp/Anticyclonic_seg.nc"
+    # "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
+)
+
+n = n.extract_with_mask(n.track == n.track[get_obs(n)])
+n_ = n.relative(get_obs(n), order=2)
+
+# %%
+ax = start_axes(n_.infos())
+n_.plot(ax, color_cycle=n.COLORS)
+update_axes(ax)
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+ax.xaxis.set_major_formatter(formatter), ax.grid()
+_ = n_.display_timeline(ax)
+
+# %%
+# Run a new segmentation
+# ----------------------
+e = n.astype(MyTrackEddiesObservations)
+e.obs.sort(order=("track", "time"), kind="stable")
+split_matrix = e.split_network(intern=False, window=7)
+n_ = NetworkObservations.from_split_network(e, split_matrix)
+n_ = n_.relative(get_obs(n_), order=2)
+n_.numbering_segment()
+
+# %%
+# New version
+# -----------
+ax = start_axes(n_.infos())
+n_.plot(ax, color_cycle=n_.COLORS)
+update_axes(ax)
+fig = plt.figure(figsize=(15, 5))
+ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+ax.xaxis.set_major_formatter(formatter), ax.grid()
+_ = n_.display_timeline(ax)
+
+# %%
+# Parameter timeline
+# ------------------
+kw = dict(s=35, cmap=plt.get_cmap("Spectral_r", 8), zorder=10)
+ax = timeline_axes()
+n_.median_filter(15, "time", "latitude")
+m = n_.scatter_timeline(ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lat")
+cb = update_axes(ax, m["scatter"])
+cb.set_label("Effective shape error")
+
+ax = timeline_axes()
+n_.median_filter(15, "time", "latitude")
+m = n_.scatter_timeline(
+    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lat", method="all"
+)
+cb = update_axes(ax, m["scatter"])
+cb.set_label("Effective shape error")
+ax.set_ylabel("Latitude")
+
+ax = timeline_axes()
+n_.median_filter(15, "time", "latitude")
+kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20
+m = n_.scatter_timeline(
+    ax,
+    "shape_error_e",
+    vmin=14,
+    vmax=70,
+    **kw,
+    yfield="lon",
+    method="all",
+)
+ax.set_ylabel("Longitude")
+cb = update_axes(ax, m["scatter"])
+cb.set_label("Effective shape error")
+
+# %%
+# Cost association plot
+# ---------------------
+n_copy = n_.copy()
+n_copy.median_filter(2, "time", "next_cost")
+for b0, b1 in [
+    (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007, 2008)
+]:
+
+    ref, delta = datetime(1950, 1, 1), 20
+    b0_, b1_ = (b0 - ref).days, (b1 - ref).days
+    ax = timeline_axes()
+    ax.set_xlim(b0_ - delta, b1_ + delta)
+    ax.set_ylim(0, 1)
+    ax.axvline(b0_, color="k", lw=1.5, ls="--"), ax.axvline(
+        b1_, color="k", lw=1.5, ls="--"
+    )
+    n_copy.display_timeline(ax, field="next_cost", method="all", lw=4, markersize=8)
+
+    n_.display_timeline(ax, field="next_cost", method="all", lw=0.5, markersize=0)

From e50d3faeeeb3a786444e0f9140b1c4dc807d1919 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Wed, 3 Feb 2021 18:49:10 +0100
Subject: [PATCH 230/441] - allow to dissociate network which group several -
 add method to know if a network is fully connected

---
 src/py_eddy_tracker/observations/network.py | 72 ++++++++++++++++++++-
 1 file changed, 69 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index d9a185de..f1e0a9a9 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -61,10 +61,26 @@ def load_contour(self, filename):
 
 class NetworkObservations(EddiesObservations):
 
-    __slots__ = tuple()
+    __slots__ = ("_index_network",)
 
     NOGROUP = 0
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._index_network = None
+
+    def network_slice(self, id_network):
+        """
+        Return slice for one network
+
+        :param int id_network: id to identify network
+        """
+        if self._index_network is None:
+            self._index_network = build_index(self.track)
+        i = id_network - self._index_network[2]
+        i_start, i_stop = self._index_network[0][i], self._index_network[1][i]
+        return slice(i_start, i_stop)
+
     @property
     def elements(self):
         elements = super().elements
@@ -461,9 +477,56 @@ def spliting_event(self):
                 indices.append(i.start)
         return self.extract_event(list(set(indices)))
 
+    def dissociate_network(self):
+        """
+        Dissociate network with no known interaction (spliting/merging)
+        """
+        self.only_one_network()
+        tags = self.tag_segment()
+        # FIXME : Ok if only one network
+        self.track[:] = tags[self.segment - 1]
+
+        self.obs.sort(order=("track", "segment", "time"))
+        self._index_network = None
+
+        # FIXME
+        # n & p must be re-index
+        # n, p = self.next_obs[mask], self.previous_obs[mask]
+        # we add 2 for -1 index return index -1
+        # translate = -ones(len(self) + 1, dtype="i4")
+        # translate[:-1][mask] = arange(nb_obs)
+        # new.next_obs[:] = translate[n]
+        # new.previous_obs[:] = translate[p]
+
+    def network(self, id_network):
+        return self.extract_with_mask(self.network_slice(id_network))
+
+    @classmethod
+    def __tag_segment(cls, seg, tag, groups, connexions):
+        if groups[seg] != 0:
+            return
+        groups[seg] = tag
+        segs = connexions.get(seg + 1, None)
+        if segs is not None:
+            for seg in segs:
+                cls.__tag_segment(seg - 1, tag, groups, connexions)
+
+    def tag_segment(self):
+        self.only_one_network()
+        nb = self.segment.max()
+        sub_group = zeros(nb, dtype="u4")
+        c = self.connexions()
+        j = 1
+        for i in range(nb):
+            if sub_group[i] != 0:
+                continue
+            self.__tag_segment(i, j, sub_group, c)
+            j += 1
+        return sub_group
+
     def fully_connected(self):
         self.only_one_network()
-        # TODO
+        return self.tag_segment().shape[0] == 1
 
     def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         """
@@ -545,7 +608,10 @@ def extract_with_mask(self, mask):
         :return: same object with selected observations
         :rtype: self
         """
-        nb_obs = mask.sum()
+        if isinstance(mask, slice):
+            nb_obs = mask.stop - mask.start
+        else:
+            nb_obs = mask.sum()
         new = self.__class__.new_like(self, nb_obs)
         new.sign_type = self.sign_type
         if nb_obs == 0:

From 403fbbbcfe7d1648efc6c0395bf6024841ed1bc0 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Fri, 5 Feb 2021 10:50:56 +0100
Subject: [PATCH 231/441] Display scattered maps (#49)

add method for display network
---
 src/py_eddy_tracker/observations/network.py | 82 +++++++++++++++++++++
 1 file changed, 82 insertions(+)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index f1e0a9a9..2babaf9e 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -407,6 +407,88 @@ def scatter_timeline(
         mappables["scatter"] = ax.scatter(self.time, y, **kwargs)
         return mappables
 
+    def event_map(self, ax, **kwargs):
+        """Add the merging and splitting events """
+        j = 0
+        mappables = dict()
+        symbol_kw = dict(
+            markersize=10,
+            color="k",
+        )
+        symbol_kw.update(kwargs)
+        symbol_kw_split = symbol_kw.copy()
+        symbol_kw_split["markersize"] += 5
+        for i, b0, b1 in self.iter_on("segment"):
+            nb = i.stop - i.start
+            if nb == 0:
+                continue
+            event_kw = dict(color=self.COLORS[j % self.NB_COLORS], ls="-", **kwargs)
+            i_n, i_p = (
+                self.next_obs[i.stop - 1],
+                self.previous_obs[i.start],
+            )
+
+            if i_n != -1:
+                y0, y1 = self.lat[i.stop - 1], self.lat[i_n]
+                x0, x1 = self.lon[i.stop - 1], self.lon[i_n]
+                ax.plot((x0, x1), (y0, y1), **event_kw)[0]
+                ax.plot(x0, y0, marker="s", **symbol_kw)[0]
+            if i_p != -1:
+                y0, y1 = self.lat[i.start], self.lat[i_p]
+                x0, x1 = self.lon[i.start], self.lon[i_p]
+                ax.plot((x0, x1), (y0, y1), **event_kw)[0]
+                ax.plot(x0, y0, marker="*", **symbol_kw_split)[0]
+
+            j += 1
+        return mappables
+
+    def scatter(
+        self,
+        ax,
+        name="time",
+        factor=1,
+        ref=None,
+        edgecolor_cycle=None,
+        **kwargs,
+    ):
+        """
+        This function will scatter the path of each network, with the merging and splitting events
+
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param str,array,None name:
+            variable used to fill the contour, if None all elements have the same color
+        :param float,None ref: if define use like west bound
+        :param float factor: multiply value by
+        :param list edgecolor_cycle: list of colors
+        :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
+        :return: a dict of scattered mappables
+        """
+        mappables = dict()
+        nb_colors = len(edgecolor_cycle) if edgecolor_cycle else None
+        x = self.longitude
+        if ref is not None:
+            x = (x - ref) % 360 + ref
+        kwargs = kwargs.copy()
+        if nb_colors:
+            edgecolors = list()
+            seg_previous = self.segment[0]
+            j = 0
+            for seg in self.segment:
+                if seg != seg_previous:
+                    j += 1
+                edgecolors.append(edgecolor_cycle[j % nb_colors])
+                seg_previous = seg
+            mappables["edges"] = ax.scatter(
+                x, self.latitude, edgecolor=edgecolors, **kwargs
+            )
+            kwargs.pop("linewidths", None)
+            kwargs["lw"] = 0
+        if name is not None and "c" not in kwargs:
+            v = self.parse_varname(name)
+            kwargs["c"] = v * factor
+        mappables["scatter"] = ax.scatter(x, self.latitude, **kwargs)
+        return mappables
+
     def insert_virtual(self):
         # TODO
         pass

From 97caffa9e5502b8ed2cd029703cceaf6406ca1c1 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 5 Feb 2021 18:36:17 +0100
Subject: [PATCH 232/441] Add method to remove dead end

---
 examples/16_network/pet_relative.py         |  6 +-
 src/py_eddy_tracker/observations/network.py | 80 ++++++++++-----------
 2 files changed, 39 insertions(+), 47 deletions(-)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 5fac0fc2..20e5a7d4 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -5,6 +5,7 @@
 
 from matplotlib import pyplot as plt
 
+import py_eddy_tracker.gui
 from py_eddy_tracker import data
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
@@ -106,11 +107,8 @@
 # Remove dead branch
 # ------------------
 # Remove all tiny segment with less than N obs which didn't join two segments
-#
-# .. warning::
-#     Must be explore, no solution to solve all the case
 
-n_clean = n.remove_dead_branch(nobs=51)
+n_clean = n.remove_dead_end(nobs=10)
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.54, 0.90, 0.40])
 ax.set_title(f"Original network ({n.infos()})")
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 2babaf9e..887fb30f 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -69,16 +69,20 @@ def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self._index_network = None
 
+    @property
+    def index_network(self):
+        if self._index_network is None:
+            self._index_network = build_index(self.track)
+        return self._index_network
+
     def network_slice(self, id_network):
         """
         Return slice for one network
 
         :param int id_network: id to identify network
         """
-        if self._index_network is None:
-            self._index_network = build_index(self.track)
-        i = id_network - self._index_network[2]
-        i_start, i_stop = self._index_network[0][i], self._index_network[1][i]
+        i = id_network - self.index_network[2]
+        i_start, i_stop = self.index_network[0][i], self.index_network[1][i]
         return slice(i_start, i_stop)
 
     @property
@@ -228,8 +232,9 @@ def only_one_network(self):
         Raise a warning or error?
         if there are more than one network
         """
-        # TODO
-        pass
+        _, i_start, _ = self.index_network
+        if len(i_start) > 1:
+            raise Exception("Several network")
 
     def position_filter(self, median_half_window, loess_half_window):
         self.median_filter(median_half_window, "time", "lon").loess_filter(
@@ -568,17 +573,19 @@ def dissociate_network(self):
         # FIXME : Ok if only one network
         self.track[:] = tags[self.segment - 1]
 
-        self.obs.sort(order=("track", "segment", "time"))
+        i_sort = self.obs.argsort(order=("track", "segment", "time"), kind="mergesort")
+        # Sort directly obs, with hope to save memory
+        self.obs.sort(order=("track", "segment", "time"), kind="mergesort")
         self._index_network = None
 
-        # FIXME
         # n & p must be re-index
-        # n, p = self.next_obs[mask], self.previous_obs[mask]
+        n, p = self.next_obs, self.previous_obs
         # we add 2 for -1 index return index -1
-        # translate = -ones(len(self) + 1, dtype="i4")
-        # translate[:-1][mask] = arange(nb_obs)
-        # new.next_obs[:] = translate[n]
-        # new.previous_obs[:] = translate[p]
+        nb_obs = len(self)
+        translate = -ones(nb_obs + 1, dtype="i4")
+        translate[:-1][i_sort] = arange(nb_obs)
+        self.next_obs[:] = translate[n]
+        self.previous_obs[:] = translate[p]
 
     def network(self, id_network):
         return self.extract_with_mask(self.network_slice(id_network))
@@ -640,40 +647,27 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
             j += 1
         return mappables
 
-    def remove_dead_branch(self, nobs=3):
-        """"""
-        # TODO: bug when spliting
+    def remove_dead_end(self, nobs=3, recursive=0, mask=None):
+        """
+        .. warning::
+            It will remove short segment which splits than merges with same segment
+        """
         self.only_one_network()
-
         segments_keep = list()
-        interaction_segments = dict()
-        segments_connexion = dict()
+        connexions = self.connexions()
         for i, b0, b1 in self.iter_on("segment"):
             nb = i.stop - i.start
-            i_p, i_n = self.previous_obs[i.start], self.next_obs[i.stop - 1]
-            seg = self.segment[i.start]
-            # segment of interaction
-            p_seg, n_seg = self.segment[i_p], self.segment[i_n]
-            if nb >= nobs:
-                segments_keep.append(seg)
-            else:
-                interaction_segments[seg] = (
-                    p_seg if i_p != -1 else -1,
-                    n_seg if i_n != -1 else -1,
-                )
-            # Where segment are called
-            if i_p != -1:
-                if p_seg not in segments_connexion:
-                    segments_connexion[p_seg] = list()
-                segments_connexion[p_seg].append(seg)
-            if i_n != -1:
-                if n_seg not in segments_connexion:
-                    segments_connexion[n_seg] = list()
-                segments_connexion[n_seg].append(seg)
-        print(interaction_segments)
-        print(segments_connexion)
-        print(segments_keep)
-        return self.extract_segment(tuple(segments_keep))
+            if mask and mask[i].any():
+                segments_keep.append(b0)
+                continue
+            if nb < nobs and len(connexions.get(b0, tuple())) < 2:
+                continue
+            segments_keep.append(b0)
+        if recursive > 0:
+            return self.extract_segment(segments_keep).remove_dead_end(
+                nobs, recursive - 1
+            )
+        return self.extract_segment(segments_keep)
 
     def extract_segment(self, segments):
         mask = ones(self.shape, dtype="bool")

From 4149342900132d45e2e5bf0d1a2b88f6f1033462 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 5 Feb 2021 22:37:01 +0100
Subject: [PATCH 233/441] Add example of simple advection

---
 examples/06_grid_manipulation/pet_advect.py   | 112 ++++++++++
 .../06_grid_manipulation/pet_advect.ipynb     | 191 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  58 +++---
 3 files changed, 331 insertions(+), 30 deletions(-)
 create mode 100644 examples/06_grid_manipulation/pet_advect.py
 create mode 100644 notebooks/python_module/06_grid_manipulation/pet_advect.ipynb

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
new file mode 100644
index 00000000..5b7a5ee4
--- /dev/null
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -0,0 +1,112 @@
+"""
+Grid advection
+==============
+
+Dummy advection which use only static geostrophic current, which didn't resolve the complex circulation of the ocean.
+"""
+import numpy as np
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+
+import py_eddy_tracker.gui
+from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.observations.observation import EddiesObservations
+
+# %%
+# Load Input grid, ADT is used to detect eddies
+g = RegularGridDataset(
+    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+# Compute u/v from height
+g.add_uv("adt")
+
+# %%
+# Load detection files
+a = EddiesObservations.load_file(data.get_path("Anticyclonic_20160515.nc"))
+c = EddiesObservations.load_file(data.get_path("Cyclonic_20160515.nc"))
+
+
+# %%
+# Quiver from u/v with eddies
+fig = plt.figure(figsize=(10, 5))
+ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
+x, y = np.meshgrid(g.x_c, g.y_c)
+a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
+_ = ax.quiver(x.T, y.T, g.grid("u"), g.grid("v"), scale=20)
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        return self.to_html5_video()
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+# Anim
+# ----
+# Particules positions
+x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))
+x, y = x.reshape(-1), y.reshape(-1)
+# Remove all original position that we can't advect at first place
+m = ~np.isnan(g.interp("u", x, y))
+x, y = x[m], y[m]
+
+# Movie properties
+kwargs = dict(frames=np.arange(51), interval=90)
+kw_p = dict(nb_step=2, time_step=21600)
+frame_t = kw_p["nb_step"] * kw_p["time_step"] / 86400.0
+
+
+def anim_ax(generator, **kw):
+    t = 0
+    for _ in range(4):
+        generator.__next__()
+        t += frame_t
+
+    fig = plt.figure(figsize=(10, 5), dpi=64)
+    ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
+    a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
+    return fig, ax.text(21, 32.1, ""), ax.plot([], [], "k", **kw)[0], t
+
+
+def update(i_frame, t_step):
+    global t
+    x, y = p.__next__()
+    t += t_step
+    l.set_data(x, y)
+    txt.set_text(f"T0 + {t:.1f} days")
+
+
+# %%
+# Filament forward
+# ^^^^^^^^^^^^^^^^
+p = g.filament(x, y, "u", "v", **kw_p, filament_size=4, rk4=True)
+fig, txt, l, t = anim_ax(p, lw=0.5)
+ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
+
+# %%
+# Filament backward
+# ^^^^^^^^^^^^^^^^^
+p = g.filament(x, y, "u", "v", **kw_p, filament_size=4, backward=True, rk4=True)
+fig, txt, l, t = anim_ax(p, lw=0.5)
+ani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))
+
+# %%
+# Particule forward
+# ^^^^^^^^^^^^^^^^^
+p = g.advect(x, y, "u", "v", **kw_p, rk4=True)
+fig, txt, l, t = anim_ax(p, ls="", marker=".", markersize=1)
+ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
new file mode 100644
index 00000000..363ac76d
--- /dev/null
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -0,0 +1,191 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Grid advection\n\nDummy advection which use only static geostrophic current, which didn't resolve the complex circulation of the ocean.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT is used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# Compute u/v from height\ng.add_uv(\"adt\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load detection files\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Quiver from u/v with eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(10, 5))\nax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\nax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\nx, y = np.meshgrid(g.x_c, g.y_c)\na.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n_ = ax.quiver(x.T, y.T, g.grid(\"u\"), g.grid(\"v\"), scale=20)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        return self.to_html5_video()\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anim\nParticules positions\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nm = ~np.isnan(g.interp(\"u\", x, y))\nx, y = x[m], y[m]\n\n# Movie properties\nkwargs = dict(frames=np.arange(51), interval=90)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0\n\n\ndef anim_ax(generator, **kw):\n    t = 0\n    for _ in range(4):\n        generator.__next__()\n        t += frame_t\n\n    fig = plt.figure(figsize=(10, 5), dpi=64)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    return fig, ax.text(21, 32.1, \"\"), ax.plot([], [], \"k\", **kw)[0], t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Filament forward\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=4, rk4=True)\nfig, txt, l, t = anim_ax(p, lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Filament backward\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=4, backward=True, rk4=True)\nfig, txt, l, t = anim_ax(p, lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Particule forward\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "p = g.advect(x, y, \"u\", \"v\", **kw_p, rk4=True)\nfig, txt, l, t = anim_ax(p, ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d9d0fced..f3dcb173 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1953,7 +1953,7 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
             self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
         )
 
-    def uv_for_advection(self, u_name, v_name, time_step=600, backward=False):
+    def uv_for_advection(self, u_name, v_name, time_step=600, backward=False, factor=1):
         """
         Get U,V to be used in degrees with precomputed time step
 
@@ -1961,8 +1961,8 @@ def uv_for_advection(self, u_name, v_name, time_step=600, backward=False):
         :param str,array v_name: V field to advect obs
         :param int time_step: Number of second for each advection
         """
-        u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy()
-        v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy()
+        u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy() * factor
+        v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy() * factor
         # N seconds / 1 degrees in m
         coef = time_step * 180 / pi / self.EARTH_RADIUS
         u *= coef / cos(radians(self.y_c))
@@ -2050,39 +2050,20 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
                 x_, y_ = nan, nan
                 break
             # k2, slope at middle with first guess position
-            u2, v2 = get_uv(
-                x_ref,
-                y_ref,
-                x_step,
-                y_step,
-                u_g,
-                v_g,
-                m_g,
-                x_ + u1 * 0.5,
-                y_ + v1 * 0.5,
-            )
+            x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
+            u2, v2 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x1, y1)
             if isnan(u2) or isnan(v2):
                 x_, y_ = nan, nan
                 break
             # k3, slope at middle with update guess position
-            u3, v3 = get_uv(
-                x_ref,
-                y_ref,
-                x_step,
-                y_step,
-                u_g,
-                v_g,
-                m_g,
-                x_ + u2 * 0.5,
-                y_ + v2 * 0.5,
-            )
+            x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
+            u3, v3 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x2, y2)
             if isnan(u3) or isnan(v3):
                 x_, y_ = nan, nan
                 break
             # k4, slope at end with update guess position
-            u4, v4 = get_uv(
-                x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x_ + u3, y_ + v3
-            )
+            x3, y3 = x_ + u3, y_ + v3
+            u4, v4 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x3, y3)
             if isnan(u4) or isnan(v4):
                 x_, y_ = nan, nan
                 break
@@ -2246,15 +2227,32 @@ def __init__(self):
         self.datasets = list()
 
     @classmethod
-    def from_netcdf_cube(cls, filename, x_name, y_name, t_name):
+    def from_netcdf_cube(cls, filename, x_name, y_name, t_name, heigth=None):
         new = cls()
         with Dataset(filename) as h:
             for i, t in enumerate(h.variables[t_name][:]):
                 d = RegularGridDataset(filename, x_name, y_name, indexs={t_name: i})
-                d.add_uv("adt")
+                if heigth is not None:
+                    d.add_uv(heigth)
                 new.datasets.append((t, d))
         return new
 
+    @classmethod
+    def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None):
+        new = cls()
+        for i, t in enumerate(t):
+            d = RegularGridDataset(filenames[i], x_name, y_name, indexs=indexs)
+            if heigth is not None:
+                d.add_uv(heigth)
+            new.datasets.append((t, d))
+        return new
+
+    def __getitem__(self, item):
+        for t, d in self.datasets:
+            if t == item:
+                return d
+        raise KeyError(item)
+
     def filament(
         self,
         x,

From dbd44c1f1b4e01cddbcf7f8ad735e55a9993d97b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 5 Feb 2021 23:08:55 +0100
Subject: [PATCH 234/441] setup readthedocs with conda

---
 .readthedocs.yml    | 18 ++++++++++++++++++
 doc/environment.yml | 21 +++++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100644 .readthedocs.yml
 create mode 100644 doc/environment.yml

diff --git a/.readthedocs.yml b/.readthedocs.yml
new file mode 100644
index 00000000..26b93108
--- /dev/null
+++ b/.readthedocs.yml
@@ -0,0 +1,18 @@
+version: 2
+
+conda:
+    environment: docs/environment.yml
+
+build:
+   image: latest
+
+# This part is necessary otherwise the project is not built
+python:
+   version: 3.7
+   install:
+      - method: pip
+        path: .
+
+# By default readthedocs does not checkout git submodules
+submodules:
+    include: all
\ No newline at end of file
diff --git a/doc/environment.yml b/doc/environment.yml
new file mode 100644
index 00000000..d543a598
--- /dev/null
+++ b/doc/environment.yml
@@ -0,0 +1,21 @@
+channels:
+  - conda-forge
+dependencies:
+  - python=3.7
+  - ffmpeg
+  - matplotlib
+  - netCDF4
+  - numba
+  - numpy
+  - opencv-python
+  - pint
+  - polygon3
+  - pyyaml
+  - requests
+  - scipy
+  - zarr
+  - sphinx-gallery
+  - pyeddytrackersample
+  - sphinx_rtd_theme
+  - sphinx>=3.1
+

From ab226ce7e6494579037076522384a46735ca453c Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 5 Feb 2021 23:10:28 +0100
Subject: [PATCH 235/441] Update .readthedocs.yml

---
 .readthedocs.yml    | 14 +-------------
 doc/environment.yml | 25 ++++++-------------------
 2 files changed, 7 insertions(+), 32 deletions(-)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 26b93108..14acf7e7 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,18 +1,6 @@
 version: 2
 
-conda:
-    environment: docs/environment.yml
-
-build:
-   image: latest
-
-# This part is necessary otherwise the project is not built
 python:
    version: 3.7
    install:
-      - method: pip
-        path: .
-
-# By default readthedocs does not checkout git submodules
-submodules:
-    include: all
\ No newline at end of file
+   - requirements: requirements_doc.txt
diff --git a/doc/environment.yml b/doc/environment.yml
index d543a598..ec163adc 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -1,21 +1,8 @@
-channels:
-  - conda-forge
 dependencies:
   - python=3.7
-  - ffmpeg
-  - matplotlib
-  - netCDF4
-  - numba
-  - numpy
-  - opencv-python
-  - pint
-  - polygon3
-  - pyyaml
-  - requests
-  - scipy
-  - zarr
-  - sphinx-gallery
-  - pyeddytrackersample
-  - sphinx_rtd_theme
-  - sphinx>=3.1
-
+  - conda-forge::ffmpeg
+  - conda-forge::opencv
+  - pip:
+    - sphinx-gallery
+    - sphinx_rtd_theme
+    - sphinx>=3.1

From 581a637e8ff017d8577b0aa7d5ab7be907fdd344 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Tue, 9 Feb 2021 12:20:41 +0100
Subject: [PATCH 236/441] Change segment color in video and add comments (#50)

- add scatter and event_map, change marker for event
- Add documentation in examples
---
 examples/16_network/pet_atlas.py              | 32 ++++++++++++---
 examples/16_network/pet_ioannou_2017_case.py  | 28 ++++++++++---
 examples/16_network/pet_relative.py           | 41 ++++++++++++++++---
 .../16_network/pet_replay_segmentation.py     | 20 +++++----
 src/py_eddy_tracker/appli/gui.py              |  6 ++-
 src/py_eddy_tracker/observations/network.py   |  6 +--
 6 files changed, 106 insertions(+), 27 deletions(-)

diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 687e5d24..83dac5b1 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -1,6 +1,6 @@
 """
-Network analyse
-===============
+Network Analysis
+================
 """
 from matplotlib import pyplot as plt
 from numpy import ma
@@ -21,7 +21,7 @@
 
 
 # %%
-# Function
+# Functions
 def start_axes(title):
     fig = plt.figure(figsize=(13, 5))
     ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
@@ -41,6 +41,7 @@ def update_axes(ax, mappable=None):
 # %%
 # All
 # ---
+# Display the % of time each pixel (1/10°) is within an anticyclonic network
 ax = start_axes("")
 g_all = n.grid_count(bins)
 m = g_all.display(ax, **kw_time, vmin=0, vmax=75)
@@ -49,12 +50,16 @@ def update_axes(ax, mappable=None):
 # %%
 # Network longer than 10 days
 # ---------------------------
+# Display the % of time each pixel (1/10°) is within an anticyclonic network
+# which total lifetime in longer than 10 days
 ax = start_axes("")
 n10 = n.longer_than(10)
 g_10 = n10.grid_count(bins)
 m = g_10.display(ax, **kw_time, vmin=0, vmax=75)
 update_axes(ax, m).set_label("Pixel used in % of time")
 
+# Display the ratio between the short and total presence.
+# Red = mostly short networks
 ax = start_axes("")
 m = g_10.display(
     ax,
@@ -67,12 +72,17 @@ def update_axes(ax, mappable=None):
 # %%
 # Network longer than 20 days
 # ---------------------------
+# Display the % of time each pixel (1/10°) is within an anticyclonic network
+# which total lifetime in longer than 20 days
 ax = start_axes("")
 n20 = n.longer_than(20)
 g_20 = n20.grid_count(bins)
 m = g_20.display(ax, **kw_time, vmin=0, vmax=75)
 update_axes(ax, m).set_label("Pixel used in % of time")
 
+# %%
+# Display the ratio between the short and total presence.
+# Red = mostly short networks
 ax = start_axes("")
 m = g_20.display(
     ax,
@@ -82,6 +92,11 @@ def update_axes(ax, mappable=None):
     name=g_20.vars["count"] * 100.0 / g_all.vars["count"]
 )
 update_axes(ax, m).set_label("Pixel used in % all atlas")
+
+# %%
+# Display the ratio between the short and total presence.
+# Red = mostly short networks
+# Networks shorter than 365 days are masked
 ax = start_axes("")
 m = g_20.display(
     ax,
@@ -93,6 +108,11 @@ def update_axes(ax, mappable=None):
     )
 )
 update_axes(ax, m).set_label("Pixel used in % all atlas")
+# %%
+# Display the ratio between the short and total presence.
+# Red = mostly short networks
+# Networks longer than 365 days are masked
+# -> Coastal areas are mostly populated by short networks
 ax = start_axes("")
 m = g_20.display(
     ax,
@@ -110,11 +130,13 @@ def update_axes(ax, mappable=None):
 # %%
 # All merging
 # -----------
+# Display the occurence of merging events
 ax = start_axes("")
 g_all_merging = n.merging_event().grid_count(bins)
 m = g_all_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
+# Ratio merging events / eddy presence
 ax = start_axes("")
 m = g_all_merging.display(
     ax,
@@ -126,8 +148,8 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
-# Merging in network longer than 10 days
-# --------------------------------------
+# Merging in networks longer than 10 days
+# ---------------------------------------
 ax = start_axes("")
 g_10_merging = n10.merging_event().grid_count(bins)
 m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 906b90eb..93e0b4ef 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -4,12 +4,18 @@
 Figure 10 from https://doi.org/10.1002/2017JC013158
 
 """
+
+# %%
+# We want to find the Ierapetra Eddy described above in the networks
+
+# %%
 from datetime import datetime, timedelta
 
 import numpy as np
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
+from matplotlib import colors
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
@@ -62,6 +68,8 @@ def update_axes(ax, mappable=None):
 
 
 # %%
+# We know the position and the time of a specific eddy
+# `n.extract_with_mask` give us the corresponding network
 n = NetworkObservations.load_file(
     "med/Anticyclonic_seg.nc"
 )
@@ -77,6 +85,7 @@ def update_axes(ax, mappable=None):
 print(ioannou_case.infos())
 
 # %%
+# It seems that this network is huge! Our case is in purple...
 ax = start_axes()
 ioannou_case.plot(ax)
 update_axes(ax)
@@ -84,6 +93,7 @@ def update_axes(ax, mappable=None):
 # %%
 # Full Timeline
 # -------------
+# The network span for many years... How to cut the interesting part?
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
 ax.xaxis.set_major_formatter(formatter), ax.grid()
@@ -93,6 +103,7 @@ def update_axes(ax, mappable=None):
 # %%
 # Sub network and new numbering
 # -----------------------------
+# Here we chose to keep only the order 3 segments relatives to our chosen eddy
 i = np.where(
     (ioannou_case.lat > 33)
     * (ioannou_case.lat < 34)
@@ -107,10 +118,14 @@ def update_axes(ax, mappable=None):
 # %%
 # Anim
 # ----
+# Quick movie to see better!
+cmap = colors.ListedColormap(
+    list(close_to_i3.COLORS), name="from_list", N=close_to_i3.segment.max()
+)
 a = Anim(
     close_to_i3,
     figsize=(12, 4),
-    cmap="Spectral_r",
+    cmap=cmap,
     nb_step=7,
     dpi=55,
     field_color="segment",
@@ -136,8 +151,8 @@ def update_axes(ax, mappable=None):
 update_axes(ax)
 
 # %%
-# Local Timeline
-# --------------
+# Latitude Timeline
+# -----------------
 ax = timeline_axes(f"Close segments ({close_to_i3.infos()})")
 n_copy = close_to_i3.copy()
 n_copy.median_filter(15, "time", "latitude")
@@ -146,6 +161,7 @@ def update_axes(ax, mappable=None):
 # %%
 # Local radius timeline
 # ---------------------
+# Effective (bold) and Speed (thin) Radius together
 n_copy.median_filter(2, "time", "radius_e")
 n_copy.median_filter(2, "time", "radius_s")
 for b0, b1 in [
@@ -167,14 +183,16 @@ def update_axes(ax, mappable=None):
     )
 
 # %%
-# Parameter timeline
-# ------------------
+# Parameters timeline
+# -------------------
+# Effective Radius
 kw = dict(s=35, cmap=plt.get_cmap("Spectral_r", 8), zorder=10)
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, "radius_e", factor=1e-3, vmin=20, vmax=100, **kw)
 cb = update_axes(ax, m["scatter"])
 cb.set_label("Effective radius (km)")
 # %%
+# Shape error
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, "shape_error_e", vmin=14, vmax=70, **kw)
 cb = update_axes(ax, m["scatter"])
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 20e5a7d4..7b6a96f4 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -19,7 +19,10 @@
 e.lon[:] = (e.lon + 180) % 360 - 180
 e.contour_lon_e[:] = ((e.contour_lon_e.T - e.lon + 180) % 360 - 180 + e.lon).T
 e.contour_lon_s[:] = ((e.contour_lon_s.T - e.lon + 180) % 360 - 180 + e.lon).T
-##############
+# %%
+# Do segmentation
+# ---------------
+# Segmentation based on maximum overlap, temporal window for candidates = 5 days
 n = NetworkObservations.from_split_network(e, e.split_network(intern=False, window=5))
 
 # %%
@@ -27,7 +30,9 @@
 # --------
 
 # %%
-# Display timeline
+# Display timeline with events
+# A segment generated by a splitting is marked with a star
+# A segment merging in another is marked with an exagon
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
 _ = n.display_timeline(ax)
@@ -39,27 +44,34 @@
 _ = n.display_timeline(ax, event=False)
 
 # %%
-# Timeline by latitude mean
+# Timeline by mean latitude
 # -------------------------
+# Display timeline with the mean latitude of the segments in yaxis
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
+ax.set_ylabel("Latitude")
 _ = n.display_timeline(ax, field="latitude")
 
 # %%
-# Timeline by radius mean
+# Timeline by mean Effective Radius
 # -----------------------
+# The factor argument is applied on the chosen field
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
-_ = n.display_timeline(ax, field="radius_e")
+ax.set_ylabel("Effective Radius (km)")
+_ = n.display_timeline(ax, field="radius_e", factor=1e-3)
 
 # %%
 # Timeline by latitude
 # --------------------
+# Use `method="all"` to display the consecutive values of the field
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
+ax.set_ylabel("Latitude")
 _ = n.display_timeline(ax, field="lat", method="all")
 
 # %%
+# You can filter the data, here with a time window of 15 days
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.05, 0.92, 0.92])
 n_copy = n.copy()
@@ -69,6 +81,8 @@
 # %%
 # Parameters timeline
 # -------------------
+# Scatter is usefull to display the parameters' temporal evolution
+# Effective Radius and Amplitude
 kw = dict(s=25, cmap="Spectral_r", zorder=10)
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.54, 0.90, 0.44])
@@ -86,6 +100,7 @@
 cb.set_label("Amplitude (cm)")
 
 # %%
+# Speed
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(ax, "speed_average", factor=100, vmin=0, vmax=40, **kw)
@@ -95,6 +110,7 @@
 cb.set_label("Maximum speed (cm/s)")
 
 # %%
+# Speed Radius
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(ax, "radius_s", factor=1e-3, vmin=20, vmax=100, **kw)
@@ -106,7 +122,10 @@
 # %%
 # Remove dead branch
 # ------------------
-# Remove all tiny segment with less than N obs which didn't join two segments
+# Remove all tiny segments with less than N obs which didn't join two segments
+#
+# .. warning::
+#     Must be explore, no solution to solve all the case
 
 n_clean = n.remove_dead_end(nobs=10)
 fig = plt.figure(figsize=(15, 8))
@@ -120,6 +139,7 @@
 # %%
 # Keep close relative
 # -------------------
+# When you want to investigate one particular observation and select only the closest segments
 # First choose an observation in the network
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
@@ -130,6 +150,7 @@
 _ = ax.plot(*obs_args, **obs_kw)
 
 # %%
+# Colors show the relative order of the segment with regards to the chosen one
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(
@@ -141,18 +162,21 @@
 )
 cb.set_label("Relative order")
 # %%
+# You want to keep only the segments at the order 1
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 close_to_i1 = n.relative(i, order=1)
 ax.set_title(f"Close segments ({close_to_i1.infos()})")
 _ = close_to_i1.display_timeline(ax)
 # %%
+# You want to keep the segments until order 2
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 close_to_i2 = n.relative(i, order=2)
 ax.set_title(f"Close segments ({close_to_i2.infos()})")
 _ = close_to_i2.display_timeline(ax)
 # %%
+# You want to keep the segments until order 3
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 close_to_i3 = n.relative(i, order=3)
@@ -162,6 +186,7 @@
 # %%
 # Display track on map
 # --------------------
+# Only a map can be tricky to understand, with a timeline it's easier!
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
@@ -173,6 +198,7 @@
 # %%
 # Get merging event
 # -----------------
+# Display the position of the eddies after a merging
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
 merging = close_to_i2.merging_event()
@@ -183,6 +209,7 @@
 # %%
 # Get spliting event
 # ------------------
+# Display the position of the eddies before a splitting
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
 spliting = close_to_i2.spliting_event()
@@ -193,6 +220,7 @@
 # %%
 # Get birth event
 # ------------------
+# Display the starting position of non-splitted eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
 birth = close_to_i2.birth_event()
@@ -203,6 +231,7 @@
 # %%
 # Get death event
 # ------------------
+# Display the last position of non-merged eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
 death = close_to_i2.death_event()
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 67c89127..c90fca9d 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -4,12 +4,17 @@
 Case from figure 10 from https://doi.org/10.1002/2017JC013158
 
 """
+
+# %%
+# Again with the Ierapetra Eddy
+
 from datetime import datetime, timedelta
 
 import numpy as np
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
+from matplotlib import colors
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
@@ -75,7 +80,7 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
         """
         Method to overwrite behaviour in merging.
 
-        We will give the point to the older one
+        We will give the point to the older one instead of the maximum overlap ratio
         """
         while i_next != -1:
             # Flag
@@ -116,14 +121,14 @@ def get_obs(dataset):
 # %%
 # Get original network, we will isolate only relative at order *2*
 n = NetworkObservations.load_file(
-    "/tmp/Anticyclonic_seg.nc"
-    # "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
+    "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
 )
 
 n = n.extract_with_mask(n.track == n.track[get_obs(n)])
 n_ = n.relative(get_obs(n), order=2)
 
 # %%
+# Display the default segmentation
 ax = start_axes(n_.infos())
 n_.plot(ax, color_cycle=n.COLORS)
 update_axes(ax)
@@ -143,8 +148,9 @@ def get_obs(dataset):
 n_.numbering_segment()
 
 # %%
-# New version
-# -----------
+# New segmentation
+# ----------------
+# "The oldest wins" method produce a very long segment
 ax = start_axes(n_.infos())
 n_.plot(ax, color_cycle=n_.COLORS)
 update_axes(ax)
@@ -154,8 +160,8 @@ def get_obs(dataset):
 _ = n_.display_timeline(ax)
 
 # %%
-# Parameter timeline
-# ------------------
+# Parameters timeline
+# -------------------
 kw = dict(s=35, cmap=plt.get_cmap("Spectral_r", 8), zorder=10)
 ax = timeline_axes()
 n_.median_filter(15, "time", "latitude")
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index bbe5067c..e9ff7f7a 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -186,7 +186,11 @@ def update(self):
         # Update id txt
         for i in where(m)[0]:
             mappable = self.ax.text(
-                self.x_core[i], self.y_core[i], self.field_txt[i], fontsize=8
+                self.x_core[i],
+                self.y_core[i],
+                self.field_txt[i],
+                fontsize=12,
+                fontweight="demibold",
             )
             self.mappables.append(mappable)
             self.ax.draw_artist(mappable)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 887fb30f..74bec98d 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -338,7 +338,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1):
                     )
                 )
                 ax.plot((x[-1], self.time[i_n]), (y0, y1), **event_kw)[0]
-                ax.plot(x[-1], y0, color="k", marker=">", markersize=10, zorder=-1)[0]
+                ax.plot(x[-1], y0, color="k", marker="H", markersize=10, zorder=-1)[0]
             if i_p != -1:
                 seg_previous = self.segment[i_p]
                 if field is not None and method == "all":
@@ -422,7 +422,7 @@ def event_map(self, ax, **kwargs):
         )
         symbol_kw.update(kwargs)
         symbol_kw_split = symbol_kw.copy()
-        symbol_kw_split["markersize"] += 5
+        symbol_kw_split["markersize"] += 4
         for i, b0, b1 in self.iter_on("segment"):
             nb = i.stop - i.start
             if nb == 0:
@@ -437,7 +437,7 @@ def event_map(self, ax, **kwargs):
                 y0, y1 = self.lat[i.stop - 1], self.lat[i_n]
                 x0, x1 = self.lon[i.stop - 1], self.lon[i_n]
                 ax.plot((x0, x1), (y0, y1), **event_kw)[0]
-                ax.plot(x0, y0, marker="s", **symbol_kw)[0]
+                ax.plot(x0, y0, marker="H", **symbol_kw)[0]
             if i_p != -1:
                 y0, y1 = self.lat[i.start], self.lat[i_p]
                 x0, x1 = self.lon[i.start], self.lon[i_p]

From e7f25c025d2ddb1930ea6d708b2015ebc573e809 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 9 Feb 2021 15:58:19 +0100
Subject: [PATCH 237/441] update doc installation

---
 .readthedocs.yml    | 7 ++++---
 doc/environment.yml | 7 +++++--
 2 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 14acf7e7..1299f38e 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,6 +1,7 @@
 version: 2
-
+conda:
+  environment: doc/environment.yml
 python:
-   version: 3.7
    install:
-   - requirements: requirements_doc.txt
+     - method: setuptools
+       path: .
diff --git a/doc/environment.yml b/doc/environment.yml
index ec163adc..db50b528 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -1,8 +1,11 @@
+channels:
+  - conda-forge
+  - defaults
 dependencies:
   - python=3.7
-  - conda-forge::ffmpeg
-  - conda-forge::opencv
+  - ffmpeg
   - pip:
     - sphinx-gallery
     - sphinx_rtd_theme
     - sphinx>=3.1
+    - pyeddytrackersample

From 401f1ab638e5d426e79c229143682e57e7e2da51 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Wed, 10 Feb 2021 10:17:13 +0100
Subject: [PATCH 238/441] add merging and splitting triplets (#51)

add triplet in merging and splitting
---
 examples/16_network/pet_atlas.py             | 27 ++++---
 examples/16_network/pet_ioannou_2017_case.py |  1 +
 examples/16_network/pet_relative.py          | 32 ++++++--
 src/py_eddy_tracker/observations/network.py  | 82 ++++++++++++++++----
 4 files changed, 111 insertions(+), 31 deletions(-)

diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 83dac5b1..cbb7b3e9 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -17,7 +17,7 @@
 step = 1 / 10.0
 bins = ((-10, 37, step), (30, 46, step))
 kw_time = dict(cmap="terrain_r", factor=100.0 / n.nb_days, name="count")
-kw_ratio = dict(cmap=plt.get_cmap("coolwarm_r", 10))
+kw_ratio = dict(cmap=plt.get_cmap("magma_r", 10))
 
 
 # %%
@@ -58,8 +58,10 @@ def update_axes(ax, mappable=None):
 m = g_10.display(ax, **kw_time, vmin=0, vmax=75)
 update_axes(ax, m).set_label("Pixel used in % of time")
 
+# %%
 # Display the ratio between the short and total presence.
-# Red = mostly short networks
+#
+# Light = mostly short networks
 ax = start_axes("")
 m = g_10.display(
     ax,
@@ -73,7 +75,7 @@ def update_axes(ax, mappable=None):
 # Network longer than 20 days
 # ---------------------------
 # Display the % of time each pixel (1/10°) is within an anticyclonic network
-# which total lifetime in longer than 20 days
+# which total lifetime is longer than 20 days
 ax = start_axes("")
 n20 = n.longer_than(20)
 g_20 = n20.grid_count(bins)
@@ -82,7 +84,8 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Display the ratio between the short and total presence.
-# Red = mostly short networks
+#
+# Light = mostly short networks
 ax = start_axes("")
 m = g_20.display(
     ax,
@@ -95,7 +98,9 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Display the ratio between the short and total presence.
-# Red = mostly short networks
+#
+# Light = mostly short networks
+#
 # Networks shorter than 365 days are masked
 ax = start_axes("")
 m = g_20.display(
@@ -110,9 +115,10 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 # %%
 # Display the ratio between the short and total presence.
-# Red = mostly short networks
+#
 # Networks longer than 365 days are masked
-# -> Coastal areas are mostly populated by short networks
+#
+# # -> Coastal areas are mostly populated by short networks
 ax = start_axes("")
 m = g_20.display(
     ax,
@@ -133,8 +139,9 @@ def update_axes(ax, mappable=None):
 # Display the occurence of merging events
 ax = start_axes("")
 g_all_merging = n.merging_event().grid_count(bins)
-m = g_all_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
+m = g_all_merging.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
+
 # %%
 # Ratio merging events / eddy presence
 ax = start_axes("")
@@ -152,7 +159,7 @@ def update_axes(ax, mappable=None):
 # ---------------------------------------
 ax = start_axes("")
 g_10_merging = n10.merging_event().grid_count(bins)
-m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=0.2)
+m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
 ax = start_axes("")
@@ -160,7 +167,7 @@ def update_axes(ax, mappable=None):
     ax,
     **kw_ratio,
     vmin=0,
-    vmax=0.5,
+    vmax=2,
     name=ma.array(
         g_10_merging.vars["count"] * 100.0 / g_10.vars["count"],
         mask=g_10.vars["count"] < 365,
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 93e0b4ef..2e7f807e 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -69,6 +69,7 @@ def update_axes(ax, mappable=None):
 
 # %%
 # We know the position and the time of a specific eddy
+#
 # `n.extract_with_mask` give us the corresponding network
 n = NetworkObservations.load_file(
     "med/Anticyclonic_seg.nc"
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 7b6a96f4..f743d3b4 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -32,6 +32,7 @@
 # %%
 # Display timeline with events
 # A segment generated by a splitting is marked with a star
+#
 # A segment merging in another is marked with an exagon
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
@@ -82,6 +83,7 @@
 # Parameters timeline
 # -------------------
 # Scatter is usefull to display the parameters' temporal evolution
+#
 # Effective Radius and Amplitude
 kw = dict(s=25, cmap="Spectral_r", zorder=10)
 fig = plt.figure(figsize=(15, 8))
@@ -125,7 +127,7 @@
 # Remove all tiny segments with less than N obs which didn't join two segments
 #
 # .. warning::
-#     Must be explore, no solution to solve all the case
+#     Must be explore, no solution to solve all cases
 
 n_clean = n.remove_dead_end(nobs=10)
 fig = plt.figure(figsize=(15, 8))
@@ -140,6 +142,7 @@
 # Keep close relative
 # -------------------
 # When you want to investigate one particular observation and select only the closest segments
+#
 # First choose an observation in the network
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
@@ -201,10 +204,18 @@
 # Display the position of the eddies after a merging
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-merging = close_to_i2.merging_event()
-merging.display(ax)
+close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
+m1, m0, m0_stop = close_to_i2.merging_event(triplet=True)
+m1.display(ax, color="violet", lw=2, label="Eddies after merging")
+m0.display(ax, color="blueviolet", lw=2, label="Eddies before merging")
+m0_stop.display(ax, color="black", lw=2, label="Eddies stopped by merging")
+ax.plot(m1.lon, m1.lat, marker=".", color="purple", ls="")
+ax.plot(m0.lon, m0.lat, marker=".", color="blueviolet", ls="")
+ax.plot(m0_stop.lon, m0_stop.lat, marker=".", color="black", ls="")
+ax.legend()
 ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
-merging
+m1
+
 
 # %%
 # Get spliting event
@@ -212,10 +223,17 @@
 # Display the position of the eddies before a splitting
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-spliting = close_to_i2.spliting_event()
-spliting.display(ax)
+close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
+s0, s1, s1_start = close_to_i2.spliting_event(triplet=True)
+s0.display(ax, color="violet", lw=2, label="Eddies before splitting")
+s1.display(ax, color="blueviolet", lw=2, label="Eddies after splitting")
+s1_start.display(ax, color="black", lw=2, label="Eddies starting by splitting")
+ax.plot(s0.lon, s0.lat, marker=".", color="purple", ls="")
+ax.plot(s1.lon, s1.lat, marker=".", color="blueviolet", ls="")
+ax.plot(s1_start.lon, s1_start.lat, marker=".", color="black", ls="")
+ax.legend()
 ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
-spliting
+s1
 
 # %%
 # Get birth event
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 74bec98d..34a47c3a 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -113,8 +113,8 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         """
         Select network on time duration
 
-        :param int nb_day_min: Minimal number of day which must be covered by one network, if negative -> not used
-        :param int nb_day_max: Maximal number of day which must be covered by one network, if negative -> not used
+        :param int nb_day_min: Minimal number of day covered by one network, if negative -> not used
+        :param int nb_day_max: Maximal number of day covered by one network, if negative -> not used
         """
         if nb_day_max < 0:
             nb_day_max = 1000000000000
@@ -132,7 +132,7 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
     @classmethod
     def from_split_network(cls, group_dataset, indexs, **kwargs):
         """
-        Build a NetworkObservations object with Group dataset and indexs
+        Build a NetworkObservations object with Group dataset and indexes
 
         :param TrackEddiesObservations group_dataset: Group dataset
         :param indexs: result from split_network
@@ -204,6 +204,9 @@ def __close_segment(cls, father, shift, connexions, distance):
             cls.__close_segment(son, shift, connexions, distance)
 
     def segment_relative_order(self, seg_origine):
+        """
+        Compute the relative order of each segment to the chosen segment
+        """
         i_s, i_e, i_ref = build_index(self.segment)
         segment_connexions = self.connexions()
         relative_tr = -ones(i_s.shape, dtype="i4")
@@ -216,6 +219,9 @@ def segment_relative_order(self, seg_origine):
         return d
 
     def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=False):
+        """
+        Extract the segments at a certain order.
+        """
         d = self.segment_relative_order(self.segment[i_obs])
         m = (d <= order) * (d != -1)
         return self.extract_with_mask(m)
@@ -234,7 +240,7 @@ def only_one_network(self):
         """
         _, i_start, _ = self.index_network
         if len(i_start) > 1:
-            raise Exception("Several network")
+            raise Exception("Several networks")
 
     def position_filter(self, median_half_window, loess_half_window):
         self.median_filter(median_half_window, "time", "lon").loess_filter(
@@ -266,7 +272,15 @@ def display_timeline(
         self, ax, event=True, field=None, method=None, factor=1, **kwargs
     ):
         """
-        Must be call on only one network
+        Plot a timeline of a network.
+        Must be called on only one network.
+
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param bool event: if True, draw the splitting and merging events
+        :param str,array field: yaxis values, if None, segments are used
+        :param str method: if None, mean values are used
+        :param float factor: to multiply field
+        :return: plot mappable
         """
         self.only_one_network()
         j = 0
@@ -516,6 +530,7 @@ def extract_event(self, indices):
 
     @property
     def segment_track_array(self):
+        """Return a unique segment id when multiple networks are considered"""
         return build_unique_array(self.segment, self.track)
 
     def birth_event(self):
@@ -542,27 +557,65 @@ def death_event(self):
                 indices.append(i.stop - 1)
         return self.extract_event(list(set(indices)))
 
-    def merging_event(self):
-        indices = list()
+    def merging_event(self, triplet=False):
+        """Return observation after a merging event.
+
+        If `triplet=True` return the eddy after a merging event, the eddy before the merging event,
+        and the eddy stopped due to merging.
+        """
+        idx_m1 = list()
+        if triplet:
+            idx_m0_stop = list()
+            idx_m0 = list()
+
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
             i_n = self.next_obs[i.stop - 1]
             if i_n != -1:
-                indices.append(i.stop - 1)
-        return self.extract_event(list(set(indices)))
+                if triplet:
+                    idx_m0_stop.append(i.stop - 1)
+                    idx_m0.append(self.previous_obs[i_n])
+                idx_m1.append(i_n)
+
+        if triplet:
+            return (
+                self.extract_event(list(idx_m1)),
+                self.extract_event(list(idx_m0)),
+                self.extract_event(list(idx_m0_stop)),
+            )
+        else:
+            return self.extract_event(list(set(idx_m1)))
 
-    def spliting_event(self):
-        indices = list()
+    def spliting_event(self, triplet=False):
+        """Return observation before a splitting event.
+
+        If `triplet=True` return the eddy before a splitting event, the eddy after the splitting event,
+        and the eddy starting due to splitting.
+        """
+        idx_s0 = list()
+        if triplet:
+            idx_s1_start = list()
+            idx_s1 = list()
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
             i_p = self.previous_obs[i.start]
             if i_p != -1:
-                indices.append(i.start)
-        return self.extract_event(list(set(indices)))
+                if triplet:
+                    idx_s1_start.append(i.start)
+                    idx_s1.append(self.next_obs[i_p])
+                idx_s0.append(i_p)
+        if triplet:
+            return (
+                self.extract_event(list(idx_s0)),
+                self.extract_event(list(idx_s1)),
+                self.extract_event(list(idx_s1_start)),
+            )
+        else:
+            return self.extract_event(list(set(idx_s0)))
 
     def dissociate_network(self):
         """
@@ -655,7 +708,7 @@ def remove_dead_end(self, nobs=3, recursive=0, mask=None):
         self.only_one_network()
         segments_keep = list()
         connexions = self.connexions()
-        for i, b0, b1 in self.iter_on("segment"):
+        for i, b0, _ in self.iter_on("segment"):
             nb = i.stop - i.start
             if mask and mask[i].any():
                 segments_keep.append(b0)
@@ -852,6 +905,7 @@ def apply_replace(x, x0, x1):
 
 @njit(cache=True)
 def build_unique_array(id1, id2):
+    """Give a unique id for each (id1, id2) with id1 and id2 increasing monotonically"""
     k = 0
     new_id = empty(id1.shape, dtype=id1.dtype)
     id1_previous = id1[0]

From aa82bbc087a32019facd67ff3a067b7d723f0705 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 12 Feb 2021 10:03:02 +0100
Subject: [PATCH 239/441] Add an example about LAVD

---
 examples/06_grid_manipulation/pet_lavd.py     | 174 +++++++++++++++
 .../06_grid_manipulation/pet_lavd.ipynb       | 209 ++++++++++++++++++
 .../14_generic_tools/pet_fit_contour.ipynb    |  47 +++-
 requirements_doc.txt                          |   1 +
 4 files changed, 429 insertions(+), 2 deletions(-)
 create mode 100644 examples/06_grid_manipulation/pet_lavd.py
 create mode 100644 notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb

diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
new file mode 100644
index 00000000..1c662ec9
--- /dev/null
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -0,0 +1,174 @@
+"""
+LAVD experiment
+===============
+
+Naive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.
+In the current example we didn't remove a mean vorticity.
+
+Method are described here:
+
+    - `Transport by Lagrangian Vortices in the Eastern Pacific <https://doi.org/10.1175/JPO-D-17-0102.1>`_
+    - `Transport by Coherent Lagrangian Vortices`_
+
+.. _Transport by Coherent Lagrangian Vortices:
+    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf
+
+"""
+import re
+
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from numpy import arange, meshgrid, zeros
+
+import py_eddy_tracker.gui
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.observations.network import NetworkObservations
+
+
+# %%
+def start_ax(title="", dpi=90):
+    fig = plt.figure(figsize=(16, 9), dpi=dpi)
+    ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    ax.set_xlim(0, 32), ax.set_ylim(28, 46), ax.update_env()
+    ax.set_title(title)
+    return fig, ax, ax.text(3, 32, "", fontsize=20)
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        cb = plt.colorbar(
+            mappable,
+            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),
+            orientation="horizontal",
+        )
+        cb.set_label("Vorticity integration along trajectory at initial position")
+
+
+kw_vorticity = dict(vmin=0, vmax=2e-5, cmap="viridis")
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+        return
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+# Data
+# ----
+# To compute vorticity(:math:`\omega`) we compute u/v field with a stencil and apply the following equation with stencil
+# method :
+#
+# .. math::
+#     \omega = \frac{\partial v}{\partial x} - \frac{\partial u}{\partial y}
+g = RegularGridDataset(
+    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+)
+g.add_uv("adt")
+u_y = g.compute_stencil(g.grid("u"), vertical=True)
+v_x = g.compute_stencil(g.grid("v"))
+g.vars["vort"] = v_x - u_y
+
+# %%
+# Display vorticity field
+fig, ax, _ = start_ax()
+mappable = g.display(ax, abs(g.grid("vort")), **kw_vorticity)
+update_axes(ax, mappable)
+
+# %%
+# Particles
+# ---------
+# Particles specification
+step = 1 / 32
+x_g, y_g = arange(0, 36, step), arange(28, 46, step)
+x, y = meshgrid(x_g, y_g)
+original_shape = x.shape
+x, y = x.reshape(-1), y.reshape(-1)
+print(f"{len(x)} particles advected")
+# A frame every 8h
+step_by_day = 3
+# Compute step of advection every 4h
+nb_step = 2
+kw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step)
+# Start a generator which at each iteration return new position at next time step
+particule = g.advect(x, y, "u", "v", **kw_p, rk4=True)
+
+# %%
+# LAVD
+# ----
+lavd = zeros(original_shape)
+# Advection time
+nb_days = 8
+# Nb frame
+nb_time = step_by_day * nb_days
+i = 0.0
+
+
+# %%
+# Anim
+# ^^^^
+# Movie of LAVD integration at each integration time step.
+def update(i_frame):
+    global lavd, i
+    i += 1
+    x, y = particule.__next__()
+    # Interp vorticity on new_position
+    lavd += abs(g.interp("vort", x, y).reshape(original_shape) * 1 / nb_time)
+    txt.set_text(f"T0 + {i / step_by_day:.2f} days of advection")
+    pcolormesh.set_array(lavd / i * nb_time)
+    return pcolormesh, txt
+
+
+kw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)
+fig, ax, txt = start_ax(dpi=60)
+x_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(
+    28 - step / 2, 46 + step / 2, step
+)
+# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular
+pcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)
+update_axes(ax, pcolormesh)
+ani = VideoAnimation(ax.figure, update, **kw_video)
+
+# %%
+# Final LAVD
+# ^^^^^^^^^^
+
+# %%
+# Format LAVD data
+lavd = RegularGridDataset.with_array(
+    coordinates=("lon", "lat"),
+    datas=dict(
+        lavd=lavd.T,
+        lon=x_g,
+        lat=y_g,
+    ),
+    centered=True,
+)
+
+# %%
+# Display final LAVD with py eddy tracker detection.
+# Period used for LAVD integration(8 days) is too short for a real use, but choose for example efficiency.
+fig, ax, _ = start_ax()
+mappable = lavd.display(ax, "lavd", **kw_vorticity)
+NetworkObservations.load_file(get_path("Anticyclonic_20160515.nc")).display(
+    ax, color="k"
+)
+NetworkObservations.load_file(get_path("Cyclonic_20160515.nc")).display(ax, color="k")
+update_axes(ax, mappable)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
new file mode 100644
index 00000000..3d925a53
--- /dev/null
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -0,0 +1,209 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - `Transport by Lagrangian Vortices in the Eastern Pacific <https://doi.org/10.1175/JPO-D-17-0102.1>`_\n    - `Transport by Coherent Lagrangian Vortices`_\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46), ax.update_env()\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n        return\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Data\nTo compute vorticity($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g = RegularGridDataset(\n    get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\nu_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"v\"))\ng.vars[\"vort\"] = v_x - u_y"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display vorticity field\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig, ax, _ = start_ax()\nmappable = g.display(ax, abs(g.grid(\"vort\")), **kw_vorticity)\nupdate_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Particles\nParticles specification\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 1 / 32\nx_g, y_g = arange(0, 36, step), arange(28, 46, step)\nx, y = meshgrid(x_g, y_g)\noriginal_shape = x.shape\nx, y = x.reshape(-1), y.reshape(-1)\nprint(f\"{len(x)} particles advected\")\n# A frame every 8h\nstep_by_day = 3\n# Compute step of advection every 4h\nnb_step = 2\nkw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step)\n# Start a generator which at each iteration return new position at next time step\nparticule = g.advect(x, y, \"u\", \"v\", **kw_p, rk4=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## LAVD\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = zeros(original_shape)\n# Advection time\nnb_days = 8\n# Nb frame\nnb_time = step_by_day * nb_days\ni = 0.0"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Anim\nMovie of LAVD integration at each integration time step.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def update(i_frame):\n    global lavd, i\n    i += 1\n    x, y = particule.__next__()\n    # Interp vorticity on new_position\n    lavd += abs(g.interp(\"vort\", x, y).reshape(original_shape) * 1 / nb_time)\n    txt.set_text(f\"T0 + {i / step_by_day:.2f} days of advection\")\n    pcolormesh.set_array(lavd / i * nb_time)\n    return pcolormesh, txt\n\n\nkw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)\nfig, ax, txt = start_ax(dpi=60)\nx_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(\n    28 - step / 2, 46 + step / 2, step\n)\n# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular\npcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)\nupdate_axes(ax, pcolormesh)\nani = VideoAnimation(ax.figure, update, **kw_video)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Final LAVD\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Format LAVD data\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        lavd=lavd.T,\n        lon=x_g,\n        lat=y_g,\n    ),\n    centered=True,\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display final LAVD with py eddy tracker detection.\nPeriod used for LAVD integration(8 days) is too short for a real use, but choose for example efficiency.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nNetworkObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nNetworkObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\nupdate_axes(ax, mappable)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
index 9a211723..9f5bbc84 100644
--- a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
@@ -26,7 +26,50 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.poly import fit_circle_, fit_ellips, fit_circle\nfrom py_eddy_tracker.generic import local_to_coordinates, coordinates_to_local\nfrom matplotlib import pyplot as plt\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom numpy import radians, linspace, cos, sin\n\na = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\n\n\ndef build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)\n\ndef build_ellips(x0, y0, a, b, theta):\n    angle = radians(linspace(0, 360, 50))\n    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)\n    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)\n    return local_to_coordinates(x, y, x0, y0)"
+        "from matplotlib import pyplot as plt\nfrom numpy import cos, linspace, radians, sin\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import fit_circle_, fit_ellips"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load example identification file\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Function to draw circle or ellips from parameter\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)\n\n\ndef build_ellips(x0, y0, a, b, theta):\n    angle = radians(linspace(0, 360, 50))\n    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)\n    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)\n    return local_to_coordinates(x, y, x0, y0)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot fitted circle or ellips on stored contour\n\n"
       ]
     },
     {
@@ -37,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "xs,ys=a.contour_lon_s,a.contour_lat_s\n\nfor i in range(20):\n    x, y = xs[i], ys[i]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x,y, x0_, y0_)\n    fig = plt.figure()\n    ax = fig.add_subplot(111)\n    ax.grid(), ax.set_aspect('equal')\n    ax.plot(x, y, label='store')\n    x0, y0, a,b, theta = fit_ellips(x_,y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_ellips(x0, y0, a,b, theta), label='ellips')\n    x0, y0, radius, shape_error = fit_circle_(x_,y_)\n    x0,y0 = local_to_coordinates(x0,y0, x0_, y0_)\n    ax.plot(*build_circle(x0,y0, radius), label='circle')\n    ax.legend()"
+        "xs, ys = a.contour_lon_s, a.contour_lat_s\n\nfig = plt.figure(figsize=(15, 15))\n\nj = 1\nfor i in range(0, 800, 30):\n    x, y = xs[i], ys[i]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x, y, x0_, y0_)\n    ax = fig.add_subplot(4, 4, j)\n    ax.grid(), ax.set_aspect(\"equal\")\n    ax.plot(x, y, label=\"store\", color=\"black\")\n    x0, y0, a, b, theta = fit_ellips(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_ellips(x0, y0, a, b, theta), label=\"ellips\", color=\"green\")\n    x0, y0, radius, shape_error = fit_circle_(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_circle(x0, y0, radius), label=\"circle\", color=\"red\", lw=0.5)\n    if j == 16:\n        break\n    j += 1"
       ]
     }
   ],
diff --git a/requirements_doc.txt b/requirements_doc.txt
index 6a4a2937..0d926b32 100644
--- a/requirements_doc.txt
+++ b/requirements_doc.txt
@@ -6,6 +6,7 @@ opencv-python
 pint
 polygon3
 pyyaml
+requests
 scipy
 zarr
 # doc

From 96436979faf960865f7bed9bdc6069c74c390c28 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 12 Feb 2021 10:19:51 +0100
Subject: [PATCH 240/441] remove unknown method

---
 examples/06_grid_manipulation/pet_lavd.py                   | 2 +-
 notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 1c662ec9..c67d6b1b 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -30,7 +30,7 @@
 def start_ax(title="", dpi=90):
     fig = plt.figure(figsize=(16, 9), dpi=dpi)
     ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
-    ax.set_xlim(0, 32), ax.set_ylim(28, 46), ax.update_env()
+    ax.set_xlim(0, 32), ax.set_ylim(28, 46)
     ax.set_title(title)
     return fig, ax, ax.text(3, 32, "", fontsize=20)
 
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 3d925a53..ea21cdc2 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46), ax.update_env()\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
       ]
     },
     {

From 745fe4969c77d308d1f2c22f302fdbd1050cdbc2 Mon Sep 17 00:00:00 2001
From: Charles Troupin <ctroupin@users.noreply.github.com>
Date: Fri, 12 Feb 2021 14:18:13 +0100
Subject: [PATCH 241/441] typos (#53)

Co-authored-by: Troupin Charles <ctroupin@uliege.be>
---
 doc/custom_tracking.rst     |  3 +--
 doc/grid_identification.rst | 10 +++++-----
 doc/run_tracking.rst        | 28 ++++++++++++++--------------
 3 files changed, 20 insertions(+), 21 deletions(-)

diff --git a/doc/custom_tracking.rst b/doc/custom_tracking.rst
index f75ad2c5..f72f3e72 100644
--- a/doc/custom_tracking.rst
+++ b/doc/custom_tracking.rst
@@ -6,7 +6,6 @@ Customize tracking
 Code my own tracking
 ********************
 
-To use your own tracking method, you just need to create a class which inherit
+To use your own tracking method, you just need to create a class which inherits
 from :meth:`py_eddy_tracker.observations.observation.EddiesObservations` and set this class in yaml file like
 we see in the previous topic.
-
diff --git a/doc/grid_identification.rst b/doc/grid_identification.rst
index 4d681252..c645f80c 100644
--- a/doc/grid_identification.rst
+++ b/doc/grid_identification.rst
@@ -8,7 +8,7 @@ Run the identification process for a single day
 Shell/bash command
 ******************
 
-Bash command will allow to process one grid, it will apply a filter and an identification.
+Bash command will allow you to process one grid, it will apply a filter and an identification.
 
 
 .. code-block:: bash
@@ -18,14 +18,14 @@ Bash command will allow to process one grid, it will apply a filter and an ident
         out_directory -v DEBUG
 
 
-Filter could be modify with options *--cut_wavelength* and *--filter_order*. You could also defined height between two isolines with *--isoline_step*, which could
+Filter could be modified with options *--cut_wavelength* and *--filter_order*. You could also define height between two isolines with *--isoline_step*, which could
 improve speed profile quality and detect accurately tiny eddies. You could also use *--fit_errmax* to manage acceptable shape of eddies.
 
 An eddy identification will produce two files in the output directory, one for anticyclonic eddies and the other one for cyclonic.
 
-In regional area which are away from the equator, current could be deduce from height, juste write *None None* inplace of *ugos vgos*
+In regional areas which are away from the Equator, current could be deduced from height, just write *None None* in place of *ugos vgos*
 
-In case of **datacube**, you need to specify index for each layer (time, depth, ...) wiht *--indexs* option like:
+In case of **datacube**, you need to specify index for each layer (time, depth, ...) with *--indexs* option like:
 
 .. code-block:: bash
 
@@ -40,7 +40,7 @@ In case of **datacube**, you need to specify index for each layer (time, depth,
 Python code
 ***********
 
-If we want customize eddies identification, python module is here.
+If we want to customize eddies identification, the Python module is here.
 
 Activate verbose
 
diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 95fa45f4..0760d7bb 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -5,9 +5,9 @@ Tracking
 Requirements
 ************
 
-Before to run tracking, you will need to run identification on every time step of the period(Period of your study).
+Before to run tracking, you will need to run identification on every time step of the period (period of your study).
 
-**Advice** : Before to run tracking, display some identification file allow to learn a lot
+**Advice** : Before to run tracking, displaying some identification file allows one to learn a lot
 
 Default method
 **************
@@ -35,24 +35,24 @@ To run:
 
     EddyTracking conf.yaml -v DEBUG
 
-It will use default tracker:
+It will use the default tracker:
 
-- No travel longer than 125 km between two observation
-- Amplitude and speed radius must be close to previous observation
-- In case of several candidate only closest is kept
+- No travel longer than 125 km between two observations
+- Amplitude and speed radius must be close to the previous observation
+- In case of several candidates only the closest is kept
 
 
 It will produce 4 files by run:
 
-- A file of correspondances which will contains all the information to merge all identifications file
-- A file which will contains all the observations which are alone
-- A file which will contains all the short track which are shorter than **TRACK_DURATION_MIN**
-- A file which will contains all the long track which are longer than **TRACK_DURATION_MIN**
+- A file of correspondences which will contain all the information to merge all identifications file
+- A file which will contain all the observations which are alone
+- A file which will contain all the short tracks which are shorter than **TRACK_DURATION_MIN**
+- A file which will contain all the long tracks which are longer than **TRACK_DURATION_MIN**
 
-Use python module
+Use Python module
 *****************
 
-An example of tracking with python module is available in the gallery:
+An example of tracking with the Python module is available in the gallery:
 :ref:`sphx_glr_python_module_08_tracking_manipulation_pet_run_a_tracking.py`
 
 Choose a tracker
@@ -67,7 +67,7 @@ With yaml you could also select another tracker:
       FILES_PATTERN: MY/IDENTIFICATION_PATH/Anticyclonic*.nc
       SAVE_DIR: MY_OUTPUT_PATH
 
-    # Number of timestep for missing detection
+    # Number of timesteps for missing detection
     VIRTUAL_LENGTH_MAX: 3
     # Minimal time to consider as a full track
     TRACK_DURATION_MIN: 10
@@ -80,5 +80,5 @@ With yaml you could also select another tracker:
         # py_eddy_tracker.observations.observation.EddiesObservations
         CLASS: CheltonTracker
 
-This tracker is like described in CHELTON11[https://doi.org/10.1016/j.pocean.2011.01.002].
+This tracker is like the one described in CHELTON11[https://doi.org/10.1016/j.pocean.2011.01.002].
 Code is here :meth:`py_eddy_tracker.featured_tracking.old_tracker_reference`

From 85cc6fabc7b493ab5be32d71c4fccf3ec9f757d9 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Fri, 12 Feb 2021 18:28:52 +0100
Subject: [PATCH 242/441] speed up /generalize some network method

---
 examples/06_grid_manipulation/pet_lavd.py     |  4 +-
 .../pet_eddy_detection.ipynb                  |  4 +-
 .../06_grid_manipulation/pet_lavd.ipynb       |  4 +-
 src/py_eddy_tracker/observations/network.py   | 98 +++++++++++++------
 4 files changed, 75 insertions(+), 35 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index c67d6b1b..dd35c5ea 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -44,6 +44,7 @@ def update_axes(ax, mappable=None):
             orientation="horizontal",
         )
         cb.set_label("Vorticity integration along trajectory at initial position")
+        return cb
 
 
 kw_vorticity = dict(vmin=0, vmax=2e-5, cmap="viridis")
@@ -90,7 +91,8 @@ def save(self, *args, **kwargs):
 # Display vorticity field
 fig, ax, _ = start_ax()
 mappable = g.display(ax, abs(g.grid("vort")), **kw_vorticity)
-update_axes(ax, mappable)
+cb = update_axes(ax, mappable)
+cb.set_label("Vorticity")
 
 # %%
 # Particles
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 938ec054..d63797ae 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -253,7 +253,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Speed Radius (km)\")\nkwargs = dict(vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\na.scatter(ax, \"radius_s\", **kwargs)\nm = c.scatter(\n    ax, \"radius_s\", **kwargs\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Speed Radius (km)\")\nkwargs = dict(vmin=10, vmax=50, s=80, ref=-10, cmap=\"magma_r\", factor=0.001)\na.scatter(ax, \"radius_s\", **kwargs)\nm = c.scatter(ax, \"radius_s\", **kwargs)\nupdate_axes(ax, m)"
       ]
     },
     {
@@ -271,7 +271,7 @@
       },
       "outputs": [],
       "source": [
-        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"effective_radius\", **kwargs)\nm = c.filled(\n    ax, \"radius_e\", **kwargs\n)\nupdate_axes(ax, m)"
+        "ax = start_axes(\"Effective Radius (km)\")\nkwargs = dict(vmin=10, vmax=80, cmap=\"magma_r\", factor=0.001, lut=14, ref=-10)\na.filled(ax, \"effective_radius\", **kwargs)\nm = c.filled(ax, \"radius_e\", **kwargs)\nupdate_axes(ax, m)"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index ea21cdc2..55cfbeec 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n        return cb\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
       ]
     },
     {
@@ -84,7 +84,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax, _ = start_ax()\nmappable = g.display(ax, abs(g.grid(\"vort\")), **kw_vorticity)\nupdate_axes(ax, mappable)"
+        "fig, ax, _ = start_ax()\nmappable = g.display(ax, abs(g.grid(\"vort\")), **kw_vorticity)\ncb = update_axes(ax, mappable)\ncb.set_label(\"Vorticity\")"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 34a47c3a..522a34c6 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,7 +6,7 @@
 from glob import glob
 
 from numba import njit
-from numpy import arange, array, bincount, empty, ones, uint32, unique, zeros
+from numpy import arange, array, bincount, empty, in1d, ones, uint32, unique, zeros
 
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
@@ -119,13 +119,12 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         if nb_day_max < 0:
             nb_day_max = 1000000000000
         mask = zeros(self.shape, dtype="bool")
-        for i, b0, b1 in self.iter_on(self.segment_track_array):
+        t = self.time
+        for i, b0, b1 in self.iter_on(self.track):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            t = self.time[i]
-            dt = t.max() - t.min()
-            if nb_day_min <= dt <= nb_day_max:
+            if nb_day_min <= ptp(t[i]) <= nb_day_max:
                 mask[i] = True
         return self.extract_with_mask(mask)
 
@@ -164,8 +163,12 @@ def obs_relative_order(self, i_obs):
         self.only_one_network()
         return self.segment_relative_order(self.segment[i_obs])
 
-    def connexions(self):
-        self.only_one_network()
+    def connexions(self, multi_network=False):
+        if multi_network:
+            segment = self.segment_track_array
+        else:
+            self.only_one_network()
+            segment = self.segment
         segments_connexion = dict()
 
         def add_seg(father, child):
@@ -173,12 +176,13 @@ def add_seg(father, child):
                 segments_connexion[father] = list()
             segments_connexion[father].append(child)
 
-        for i, seg, _ in self.iter_on("segment"):
+        previous_obs, next_obs = self.previous_obs, self.next_obs
+        for i, seg, _ in self.iter_on(segment):
             if i.start == i.stop:
                 continue
-            i_p, i_n = self.previous_obs[i.start], self.next_obs[i.stop - 1]
+            i_p, i_n = previous_obs[i.start], next_obs[i.stop - 1]
             # segment of interaction
-            p_seg, n_seg = self.segment[i_p], self.segment[i_n]
+            p_seg, n_seg = segment[i_p], segment[i_n]
             # Where segment are called
             if i_p != -1:
                 add_seg(p_seg, seg)
@@ -395,6 +399,26 @@ def map_segment(self, method, y, same=True, **kw):
             out = array(out)
         return out
 
+    def map_network(self, method, y, same=True, **kw):
+        if same:
+            out = empty(y.shape, **kw)
+        else:
+            out = list()
+        for i, b0, b1 in self.iter_on(self.track):
+            res = method(y[i])
+            if same:
+                out[i] = res
+            else:
+                if isinstance(i, slice):
+                    if i.start == i.stop:
+                        continue
+                elif len(i) == 0:
+                    continue
+                out.append(res)
+        if not same:
+            out = array(out)
+        return out
+
     def scatter_timeline(
         self,
         ax,
@@ -410,7 +434,7 @@ def scatter_timeline(
         Must be call on only one network
         """
         self.only_one_network()
-        y = (self.segment if yfield is None else self[yfield]) * yfactor
+        y = (self.segment if yfield is None else self.parse_varname(yfield)) * yfactor
         if method == "all":
             pass
         else:
@@ -536,11 +560,12 @@ def segment_track_array(self):
     def birth_event(self):
         # FIXME how to manage group 0
         indices = list()
+        previous_obs = self.previous_obs
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            i_p = self.previous_obs[i.start]
+            i_p = previous_obs[i.start]
             if i_p == -1:
                 indices.append(i.start)
         return self.extract_event(list(set(indices)))
@@ -548,11 +573,12 @@ def birth_event(self):
     def death_event(self):
         # FIXME how to manage group 0
         indices = list()
+        next_obs = self.next_obs
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            i_n = self.next_obs[i.stop - 1]
+            i_n = next_obs[i.stop - 1]
             if i_n == -1:
                 indices.append(i.stop - 1)
         return self.extract_event(list(set(indices)))
@@ -567,16 +593,16 @@ def merging_event(self, triplet=False):
         if triplet:
             idx_m0_stop = list()
             idx_m0 = list()
-
+        next_obs, previous_obs = self.next_obs, self.previous_obs
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            i_n = self.next_obs[i.stop - 1]
+            i_n = next_obs[i.stop - 1]
             if i_n != -1:
                 if triplet:
                     idx_m0_stop.append(i.stop - 1)
-                    idx_m0.append(self.previous_obs[i_n])
+                    idx_m0.append(previous_obs[i_n])
                 idx_m1.append(i_n)
 
         if triplet:
@@ -598,15 +624,16 @@ def spliting_event(self, triplet=False):
         if triplet:
             idx_s1_start = list()
             idx_s1 = list()
+        next_obs, previous_obs = self.next_obs, self.previous_obs
         for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            i_p = self.previous_obs[i.start]
+            i_p = previous_obs[i.start]
             if i_p != -1:
                 if triplet:
                     idx_s1_start.append(i.start)
-                    idx_s1.append(self.next_obs[i_p])
+                    idx_s1.append(next_obs[i_p])
                 idx_s0.append(i_p)
         if triplet:
             return (
@@ -700,32 +727,38 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
             j += 1
         return mappables
 
-    def remove_dead_end(self, nobs=3, recursive=0, mask=None):
+    def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         """
         .. warning::
             It will remove short segment which splits than merges with same segment
         """
-        self.only_one_network()
         segments_keep = list()
-        connexions = self.connexions()
-        for i, b0, _ in self.iter_on("segment"):
-            nb = i.stop - i.start
+        connexions = self.connexions(multi_network=True)
+        t = self.time
+        for i, b0, _ in self.iter_on(self.segment_track_array):
             if mask and mask[i].any():
                 segments_keep.append(b0)
                 continue
-            if nb < nobs and len(connexions.get(b0, tuple())) < 2:
+            nb = i.stop - i.start
+            dt = t[i.stop - 1] - t[i.start]
+            if (nb < nobs or dt < ndays) and len(connexions.get(b0, tuple())) < 2:
                 continue
             segments_keep.append(b0)
         if recursive > 0:
-            return self.extract_segment(segments_keep).remove_dead_end(
-                nobs, recursive - 1
+            return self.extract_segment(segments_keep, absolute=True).remove_dead_end(
+                nobs, ndays, recursive - 1
             )
-        return self.extract_segment(segments_keep)
+        return self.extract_segment(segments_keep, absolute=True)
 
-    def extract_segment(self, segments):
+    def extract_segment(self, segments, absolute=False):
         mask = ones(self.shape, dtype="bool")
-        for i, b0, b1 in self.iter_on("segment"):
-            if b0 not in segments:
+        segments = array(segments)
+        values = self.segment_track_array if absolute else "segment"
+        keep = ones(values.max() + 1, dtype="bool")
+        v = unique(values)
+        keep[v] = in1d(v, segments)
+        for i, b0, b1 in self.iter_on(values):
+            if not keep[b0]:
                 mask[i] = False
         return self.extract_with_mask(mask)
 
@@ -929,3 +962,8 @@ def new_numbering(segs):
             s0 = segs[i]
             j += 1
         segs[i] = j
+
+
+@njit(cache=True)
+def ptp(values):
+    return values.max() - values.min()

From cd58812124d2346f6c11ed0c7fbb3dfac409b9a4 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 16 Feb 2021 10:49:57 +0100
Subject: [PATCH 243/441] update reference of lavd example

---
 examples/06_grid_manipulation/pet_advect.py            |  3 ++-
 examples/06_grid_manipulation/pet_lavd.py              | 10 +++++-----
 .../06_grid_manipulation/pet_advect.ipynb              |  2 +-
 .../python_module/06_grid_manipulation/pet_lavd.ipynb  |  8 ++++----
 4 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 5b7a5ee4..838a2511 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -79,7 +79,8 @@ def anim_ax(generator, **kw):
     ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
     ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
     a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
-    return fig, ax.text(21, 32.1, ""), ax.plot([], [], "k", **kw)[0], t
+    line = ax.plot([], [], "k", **kw)[0]
+    return fig, ax.text(21, 32.1, ""), line, t
 
 
 def update(i_frame, t_step):
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index dd35c5ea..4c4e394c 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -7,8 +7,8 @@
 
 Method are described here:
 
-    - `Transport by Lagrangian Vortices in the Eastern Pacific <https://doi.org/10.1175/JPO-D-17-0102.1>`_
-    - `Transport by Coherent Lagrangian Vortices`_
+    - Abernathey, Ryan, and George Haller. " Transport by Lagrangian Vortices in the Eastern Pacific", Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021, https://doi.org/10.1175/JPO-D-17-0102.1
+    - `Transport by Coherent Lagrangian Vortices`_, R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019, Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
 
 .. _Transport by Coherent Lagrangian Vortices:
     https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf
@@ -74,7 +74,7 @@ def save(self, *args, **kwargs):
 # %%
 # Data
 # ----
-# To compute vorticity(:math:`\omega`) we compute u/v field with a stencil and apply the following equation with stencil
+# To compute vorticity (:math:`\omega`) we compute u/v field with a stencil and apply the following equation with stencil
 # method :
 #
 # .. math::
@@ -166,11 +166,11 @@ def update(i_frame):
 
 # %%
 # Display final LAVD with py eddy tracker detection.
-# Period used for LAVD integration(8 days) is too short for a real use, but choose for example efficiency.
+# Period used for LAVD integration (8 days) is too short for a real use, but choose for example efficiency.
 fig, ax, _ = start_ax()
 mappable = lavd.display(ax, "lavd", **kw_vorticity)
 NetworkObservations.load_file(get_path("Anticyclonic_20160515.nc")).display(
     ax, color="k"
 )
 NetworkObservations.load_file(get_path("Cyclonic_20160515.nc")).display(ax, color="k")
-update_axes(ax, mappable)
+_ = update_axes(ax, mappable)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 363ac76d..62b3e0a9 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nm = ~np.isnan(g.interp(\"u\", x, y))\nx, y = x[m], y[m]\n\n# Movie properties\nkwargs = dict(frames=np.arange(51), interval=90)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0\n\n\ndef anim_ax(generator, **kw):\n    t = 0\n    for _ in range(4):\n        generator.__next__()\n        t += frame_t\n\n    fig = plt.figure(figsize=(10, 5), dpi=64)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    return fig, ax.text(21, 32.1, \"\"), ax.plot([], [], \"k\", **kw)[0], t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
+        "x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nm = ~np.isnan(g.interp(\"u\", x, y))\nx, y = x[m], y[m]\n\n# Movie properties\nkwargs = dict(frames=np.arange(51), interval=90)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0\n\n\ndef anim_ax(generator, **kw):\n    t = 0\n    for _ in range(4):\n        generator.__next__()\n        t += frame_t\n\n    fig = plt.figure(figsize=(10, 5), dpi=64)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    line = ax.plot([], [], \"k\", **kw)[0]\n    return fig, ax.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 55cfbeec..5241f6bc 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - `Transport by Lagrangian Vortices in the Eastern Pacific <https://doi.org/10.1175/JPO-D-17-0102.1>`_\n    - `Transport by Coherent Lagrangian Vortices`_\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \" Transport by Lagrangian Vortices in the Eastern Pacific\", Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021, https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_, R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019, Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
       ]
     },
     {
@@ -55,7 +55,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Data\nTo compute vorticity($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
+        "## Data\nTo compute vorticity ($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
       ]
     },
     {
@@ -170,7 +170,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display final LAVD with py eddy tracker detection.\nPeriod used for LAVD integration(8 days) is too short for a real use, but choose for example efficiency.\n\n"
+        "Display final LAVD with py eddy tracker detection.\nPeriod used for LAVD integration (8 days) is too short for a real use, but choose for example efficiency.\n\n"
       ]
     },
     {
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nNetworkObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nNetworkObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\nupdate_axes(ax, mappable)"
+        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nNetworkObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nNetworkObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
       ]
     }
   ],

From 351d86c5b5479397f38fe5c7d0345064670ddc84 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Tue, 16 Feb 2021 17:01:31 +0100
Subject: [PATCH 244/441] Add animation of segmentation

---
 examples/16_network/pet_segmentation_anim.py | 90 ++++++++++++++++++++
 1 file changed, 90 insertions(+)
 create mode 100644 examples/16_network/pet_segmentation_anim.py

diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
new file mode 100644
index 00000000..cc0dc23c
--- /dev/null
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -0,0 +1,90 @@
+"""
+Network segmentation process
+============================
+"""
+
+import re
+
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from matplotlib.colors import ListedColormap
+from numpy import ones
+
+import py_eddy_tracker.gui
+from py_eddy_tracker import data
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+# Overlaod of class to pick up
+TRACKS = list()
+
+
+class MyTrack(TrackEddiesObservations):
+    @staticmethod
+    def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+        TRACKS.append(ids["track"].copy())
+        return TrackEddiesObservations.get_next_obs(
+            i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs
+        )
+
+
+# %%
+# Load data
+# ---------
+# Load data where observations are put in same network but no segmentation
+e = MyTrack.load_file(data.get_path("c568803.nc"))
+# FIXME : Must be rewrote
+e.lon[:] = (e.lon + 180) % 360 - 180
+e.contour_lon_e[:] = ((e.contour_lon_e.T - e.lon + 180) % 360 - 180 + e.lon).T
+e.contour_lon_s[:] = ((e.contour_lon_s.T - e.lon + 180) % 360 - 180 + e.lon).T
+# %%
+# Do segmentation
+# ---------------
+# Segmentation based on maximum overlap, temporal window for candidates = 5 days
+matrix = e.split_network(intern=False, window=5)
+
+
+# %%
+# Anim
+# ----
+def update(i_frame):
+    tr = TRACKS[i_frame]
+    mappable_tracks.set_array(tr)
+    s = 80 * ones(tr.shape)
+    s[tr == 0] = 4
+    mappable_tracks.set_sizes(s)
+    return (mappable_tracks,)
+
+
+fig = plt.figure(figsize=(15, 8), dpi=60)
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
+ax.set_title(f"{len(e)} observations to segment")
+ax.set_xlim(-13, 20), ax.set_ylim(-36.5, -20), ax.grid()
+vmax = TRACKS[-1].max()
+cmap = ListedColormap(["gray", *e.COLORS[:-1]], name="from_list", N=vmax)
+mappable_tracks = ax.scatter(
+    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20
+)
+ani = VideoAnimation(
+    fig, update, frames=range(1, len(TRACKS), 4), interval=125, blit=True
+)

From 1f57fe13f5ae154c0c458b92ead1237b2043efc8 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 11:35:33 +0100
Subject: [PATCH 245/441] Add exception if grid have coordinates with 2D shape

---
 src/py_eddy_tracker/dataset/grid.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index f3dcb173..4ae63495 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1150,6 +1150,10 @@ def __init__(self, *args, **kwargs):
     def setup_coordinates(self):
         super().setup_coordinates()
         self.x_size = self.x_c.shape[0]
+        if len(self.x_c.shape) != 1:
+            raise Exception(
+                "Coordinates in RegularGridDataset must be 1D array, or think to use UnRegularGridDataset"
+            )
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 

From 332e016fb3cedb6211fc6f99271ccb4a2eef27b0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 11:38:31 +0100
Subject: [PATCH 246/441] - Add cache for interpolation - Add cache for rk4
 advection

---
 src/py_eddy_tracker/dataset/grid.py | 280 ++++++++++++++++++++++------
 src/py_eddy_tracker/generic.py      | 116 ++++++++----
 tests/test_grid.py                  |  12 +-
 3 files changed, 315 insertions(+), 93 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 4ae63495..bdbe2ea3 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1937,6 +1937,14 @@ def regrid(self, other, grid_name, new_name=None):
         # self.variables_description[new_name]['infos'] = False
         # self.variables_description[new_name]['kwargs']['dimensions'] = ...
 
+    @staticmethod
+    def get_mask(a):
+        if len(a.mask.shape):
+            m = a.mask
+        else:
+            m = ones(a.shape) if a.mask else zeros(a.shape)
+        return m
+
     def interp(self, grid_name, lons, lats, method="bilinear"):
         """
         Compute z over lons, lats
@@ -1949,10 +1957,7 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
         :return: new z
         """
         g = self.grid(grid_name)
-        if len(g.mask.shape):
-            m = g.mask
-        else:
-            m = ones(g.shape) if g.mask else zeros(g.shape)
+        m = self.get_mask(g)
         return interp2d_geo(
             self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
         )
@@ -1977,11 +1982,12 @@ def uv_for_advection(self, u_name, v_name, time_step=600, backward=False, factor
         m = u.mask + v.mask
         return u, v, m
 
-    def advect(self, x, y, u_name, v_name, nb_step=10, rk4=False, **kw):
+    def advect(self, x, y, u_name, v_name, nb_step=10, rk4=True, **kw):
         """
         At each call it will update position in place with u & v field
 
         It's a dummy advection which use only one layer of current
+
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
@@ -1990,13 +1996,14 @@ def advect(self, x, y, u_name, v_name, nb_step=10, rk4=False, **kw):
         :param int time_step: Number of second for each advection
         """
         u, v, m = self.uv_for_advection(u_name, v_name, **kw)
+        m_p = isnan(x) + isnan(y)
         advect_ = advect_rk4 if rk4 else advect
         while True:
-            advect_(self.x_c, self.y_c, u, v, m, x, y, nb_step)
+            advect_(self.x_c, self.y_c, u, v, m, x, y, m_p, nb_step)
             yield x, y
 
     def filament(
-        self, x, y, u_name, v_name, nb_step=10, filament_size=6, rk4=False, **kw
+        self, x, y, u_name, v_name, nb_step=10, filament_size=6, rk4=True, **kw
     ):
         """
         Produce filament with concatenation of advection
@@ -2021,6 +2028,7 @@ def filament(
         f_y[:] = nan
         f_x[::filament_size_] = x
         f_y[::filament_size_] = y
+        mp = isnan(x) + isnan(y)
         advect_ = advect_rk4 if rk4 else advect
         while True:
             # Shift position
@@ -2029,48 +2037,87 @@ def filament(
             # Remove last position
             f_x[filament_size::filament_size_] = nan
             f_y[filament_size::filament_size_] = nan
-            advect_(self.x_c, self.y_c, u, v, m, x, y, nb_step)
+            advect_(self.x_c, self.y_c, u, v, m, x, y, mp, nb_step)
             f_x[::filament_size_] = x
             f_y[::filament_size_] = y
             yield f_x, f_y
 
 
 @njit(cache=True)
-def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
+def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
-    # On each particule
+    # cache
+    i_cache, j_cache = -1000000, -1000000
+    masked = False
+    u00, u01, u10, u11 = 0.0, 0.0, 0.0, 0.0
+    v00, v01, v10, v11 = 0.0, 0.0, 0.0, 0.0
+    # On each particle
     for i in prange(x.size):
-        # If particule are not valid => continue
-        x_, y_ = x[i], y[i]
-        if isnan(x_) or isnan(y_):
+        # If particle are not valid => continue
+        if m[i]:
             continue
+        x_, y_ = x[i], y[i]
         # Iterate on whole steps
         for _ in range(nb_step):
             # k1, slope at origin
-            u1, v1 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x_, y_)
-            if isnan(u1) or isnan(v1):
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x_, y_)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                    ii_, jj_, u_g, v_g, m_g
+                )
+                i_cache, j_cache = ii_, jj_
+            # The 3 following could be in cache operation but this one must be test in any case
+            if masked:
                 x_, y_ = nan, nan
+                m[i] = True
                 break
+            xd, yd = ii - ii_, jj - jj_
+            u1, v1 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k2, slope at middle with first guess position
             x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
-            u2, v2 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x1, y1)
-            if isnan(u2) or isnan(v2):
-                x_, y_ = nan, nan
-                break
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x1, y1)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                    ii_, jj_, u_g, v_g, m_g
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u2, v2 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k3, slope at middle with update guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
-            u3, v3 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x2, y2)
-            if isnan(u3) or isnan(v3):
-                x_, y_ = nan, nan
-                break
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x2, y2)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                    ii_, jj_, u_g, v_g, m_g
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u3, v3 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k4, slope at end with update guess position
             x3, y3 = x_ + u3, y_ + v3
-            u4, v4 = get_uv(x_ref, y_ref, x_step, y_step, u_g, v_g, m_g, x3, y3)
-            if isnan(u4) or isnan(v4):
-                x_, y_ = nan, nan
-                break
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x3, y3)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                    ii_, jj_, u_g, v_g, m_g
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u4, v4 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
+            # RK4 compute
             dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
             dy = (v1 + 2 * v2 + 2 * v3 + v4) / 6
             # Compute new x,y
@@ -2098,7 +2145,7 @@ def get_uv(x0, y0, x_step, y_step, u, v, m, x, y):
 
 
 @njit(cache=True)
-def advect(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
+def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
@@ -2107,7 +2154,7 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
     # On each particule
     for i in prange(x.size):
         # If particule are not valid => continue
-        if isnan(x[i]) or isnan(y[i]):
+        if m[i]:
             continue
         # Iterate on whole steps
         for _ in range(nb_step):
@@ -2123,6 +2170,7 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, nb_step):
                 # If one of nearest pixel is invalid
                 if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
                     x[i], y[i] = nan, nan
+                    m[i] = True
                     break
                 # Extract value for u and v
                 u00, u01, u10, u11 = u_g[i0, j0], u_g[i0, j1], u_g[i1, j0], u_g[i1, j1]
@@ -2251,6 +2299,34 @@ def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None
             new.datasets.append((t, d))
         return new
 
+    def interp(self, grid_name, t, lons, lats, method="bilinear"):
+        """
+        Compute z over lons, lats
+
+        :param str grid_name: Grid to be interpolated
+        :param float, t: time for interpolation
+        :param lons: new x
+        :param lats: new y
+        :param str method: Could be 'bilinear' or 'nearest'
+
+        :return: new z
+        """
+        # FIXME: we do assumption on time step
+        t0 = int(t)
+        t1 = t0 + 1
+        h0, h1 = self[t0], self[t1]
+        g0, g1 = h0.grid(grid_name), h1.grid(grid_name)
+        m0, m1 = h0.get_mask(g0), h0.get_mask(g1)
+        kw = dict(x=lons, y=lats, nearest=method == "nearest")
+        v0 = interp2d_geo(h0.x_c, h0.y_c, g0, m0, **kw)
+        v1 = interp2d_geo(h1.x_c, h1.y_c, g1, m1, **kw)
+        w = (t - t0) / (t1 - t0)
+        return v1 * w + v0 * (1 - w)
+
+    def __iter__(self):
+        for _, d in self.datasets:
+            yield d
+
     def __getitem__(self, item):
         for t, d in self.datasets:
             if t == item:
@@ -2267,7 +2343,7 @@ def filament(
         nb_step=10,
         time_step=600,
         filament_size=6,
-        rk4=False,
+        rk4=True,
         **kw,
     ):
         """
@@ -2309,6 +2385,7 @@ def filament(
         t0 = t0 * 86400
         t1 = t1 * 86400
         t = t_init * 86400
+        mp = isnan(x) + isnan(y)
         advect_ = advect_t_rk4 if rk4 else advect_t
         while True:
             # Shift position
@@ -2325,7 +2402,7 @@ def filament(
                 u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
             w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
             half_w = t_step / 2.0 / (t1 - t0)
-            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, w, half_w=half_w)
+            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, mp, w, half_w=half_w)
             f_x[::filament_size_] = x
             f_y[::filament_size_] = y
             t += dt
@@ -2340,7 +2417,7 @@ def advect(
         t_init,
         nb_step=10,
         time_step=600,
-        rk4=False,
+        rk4=True,
         **kw,
     ):
         backward = kw.get("backward", False)
@@ -2360,6 +2437,7 @@ def advect(
         t1 = t1 * 86400
         t = t_init * 86400
         advect_ = advect_t_rk4 if rk4 else advect_t
+        mp = isnan(x) + isnan(y)
         while True:
             if (backward and t <= t1) or (not backward and t >= t1):
                 t0, u0, v0, m0 = t1, u1, v1, m1
@@ -2368,7 +2446,7 @@ def advect(
                 u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
             w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
             half_w = t_step / 2.0 / (t1 - t0)
-            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, w, half_w=half_w)
+            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, mp, w, half_w=half_w)
             t += dt
             yield t, x, y
 
@@ -2396,7 +2474,7 @@ def get_previous_time_step(self, t_init):
 
 
 @njit(cache=True)
-def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w=0):
+def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, half_w=0):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
@@ -2405,7 +2483,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w
     # On each particule
     for i in prange(x.size):
         # If particule are not valid => continue
-        if isnan(x[i]) or isnan(y[i]):
+        if m[i]:
             continue
         # Iterate on whole steps
         for w in weigths:
@@ -2430,6 +2508,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w
                     or m_g1[i1, j1]
                 ):
                     x[i], y[i] = nan, nan
+                    m[i] = True
                     break
                 # Extract value for u and v
                 u000, u001 = u_g0[i0, j0], u_g0[i0, j1]
@@ -2454,52 +2533,133 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w
             y[i] += dy0 * w + dy1 * (1 - w)
 
 
-@njit(cache=True)
-def advect_t_rk4(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, weigths, half_w):
+@njit(cache=True, fastmath=True)
+def get_uv_quad(i0, j0, u, v, m):
+    i1, j1 = i0 + 1, j0 + 1
+    if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
+        return True, nan, nan, nan, nan, nan, nan, nan, nan
+    # Extract value for u and v
+    u00, u01, u10, u11 = u[i0, j0], u[i0, j1], u[i1, j0], u[i1, j1]
+    v00, v01, v10, v11 = v[i0, j0], v[i0, j1], v[i1, j0], v[i1, j1]
+    return False, u00, u01, u10, u11, v00, v01, v10, v11
+
+
+@njit(cache=True, fastmath=True)
+def get_grid_indices(x0, y0, x_step, y_step, x, y):
+    i, j = (x - x0) / x_step, (y - y0) / y_step
+    i0, j0 = int(floor(i)), int(floor(j))
+    return i0, j0, i, j
+
+
+@njit(cache=True, fastmath=True)
+def interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11):
+    xd_i, yd_i = 1 - xd, 1 - yd
+    u = (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
+    v = (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
+    return u, v
+
+
+@njit(cache=True, fastmath=True)
+def advect_t_rk4(
+    x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, half_w
+):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
-    # On each particule
+    # cache
+    i_cache, j_cache = -1000000, -1000000
+    masked0, masked1 = False, False
+    u000, u001, u010, u011 = 0.0, 0.0, 0.0, 0.0
+    v000, v001, v010, v011 = 0.0, 0.0, 0.0, 0.0
+    u100, u101, u110, u111 = 0.0, 0.0, 0.0, 0.0
+    v100, v101, v110, v111 = 0.0, 0.0, 0.0, 0.0
+    # On each particle
     for i in prange(x.size):
-        # If particule are not valid => continue
-        x_, y_ = x[i], y[i]
-        if isnan(x_) or isnan(y_):
+        # If particle are not valid => continue
+        if m[i]:
             continue
+        x_, y_ = x[i], y[i]
         # Iterate on whole steps
         for w in weigths:
             # k1, slope at origin
-            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x_, y_)
-            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x_, y_)
-            u1, v1 = u0_ * w + u1_ * (1 - w), v0_ * w + v1_ * (1 - w)
-            if isnan(u1) or isnan(v1):
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x_, y_)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
+                    ii_, jj_, u_g0, v_g0, m_g0
+                )
+                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
+                    ii_, jj_, u_g1, v_g1, m_g1
+                )
+                i_cache, j_cache = ii_, jj_
+            # The 3 following could be in cache operation but this one must be test in any case
+            if masked0 or masked1:
                 x_, y_ = nan, nan
+                m[i] = True
                 break
+            xd, yd = ii - ii_, jj - jj_
+            u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
+            u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
+            u1, v1 = u0_ * w + u1_ * (1 - w), v0_ * w + v1_ * (1 - w)
             # k2, slope at middle with first guess position
             x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
-            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x1, y1)
-            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x1, y1)
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x1, y1)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
+                    ii_, jj_, u_g0, v_g0, m_g0
+                )
+                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
+                    ii_, jj_, u_g1, v_g1, m_g1
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked0 or masked1:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
+            u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             w_ = w - half_w
             u2, v2 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
-            if isnan(u2) or isnan(v2):
-                x_, y_ = nan, nan
-                break
             # k3, slope at middle with update guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
-            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x2, y2)
-            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x2, y2)
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x2, y2)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
+                    ii_, jj_, u_g0, v_g0, m_g0
+                )
+                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
+                    ii_, jj_, u_g1, v_g1, m_g1
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked0 or masked1:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
+            u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             u3, v3 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
-            if isnan(u3) or isnan(v3):
-                x_, y_ = nan, nan
-                break
             # k4, slope at end with update guess position
             x3, y3 = x_ + u3, y_ + v3
-            u0_, v0_ = get_uv(x_ref, y_ref, x_step, y_step, u_g0, v_g0, m_g0, x3, y3)
-            u1_, v1_ = get_uv(x_ref, y_ref, x_step, y_step, u_g1, v_g1, m_g1, x3, y3)
+            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x3, y3)
+            if ii_ != i_cache or jj_ != j_cache:
+                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
+                    ii_, jj_, u_g0, v_g0, m_g0
+                )
+                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
+                    ii_, jj_, u_g1, v_g1, m_g1
+                )
+                i_cache, j_cache = ii_, jj_
+                if masked0 or masked1:
+                    x_, y_ = nan, nan
+                    m[i] = True
+                    break
+            xd, yd = ii - ii_, jj - jj_
+            u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
+            u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             w_ -= half_w
             u4, v4 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
-            if isnan(u4) or isnan(v4):
-                x_, y_ = nan, nan
-                break
+            # RK4 compute
             dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
             dy = (v1 + 2 * v2 + 2 * v3 + v4) / 6
             x_ += dx
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 24b3cc22..d6915088 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -191,7 +191,25 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y, nearest=False):
     :return: z interpolated
     :rtype: array
     """
-    # TODO : Maybe test if we are out of bounds
+    if nearest:
+        return interp2d_nearest(x_g, y_g, z_g, x, y)
+    else:
+        return interp2d_bilinear(x_g, y_g, z_g, m_g, x, y)
+
+
+@njit(cache=True, fastmath=True)
+def interp2d_nearest(x_g, y_g, z_g, x, y):
+    """
+    Nearest interpolation with wrapping if circular
+
+    :param array x_g: coordinates of grid
+    :param array y_g: coordinates of grid
+    :param array z_g: Grid value
+    :param array x: coordinate where interpolate z
+    :param array y: coordinate where interpolate z
+    :return: z interpolated
+    :rtype: array
+    """
     x_ref = x_g[0]
     y_ref = y_g[0]
     x_step = x_g[1] - x_ref
@@ -200,45 +218,79 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y, nearest=False):
     nb_y = y_g.shape[0]
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
     z = empty(x.shape, dtype=z_g.dtype)
+    for i in prange(x.size):
+        i0 = int(round((x[i] - x_ref) / x_step))
+        j0 = int(round((y[i] - y_ref) / y_step))
+        if is_circular:
+            i0 %= nb_x
+        if i0 >= nb_x or i0 < 0 or j0 < 0 or j0 >= nb_y:
+            z[i] = nan
+            continue
+        z[i] = z_g[i0, j0]
+    return z
+
+
+@njit(cache=True, fastmath=True)
+def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
+    """
+    Bilinear interpolation with wrapping if circular
+
+    :param array x_g: coordinates of grid
+    :param array y_g: coordinates of grid
+    :param array z_g: Grid value
+    :param array m_g: Boolean grid, True if value is masked
+    :param array x: coordinate where interpolate z
+    :param array y: coordinate where interpolate z
+    :return: z interpolated
+    :rtype: array
+    """
+    x_ref = x_g[0]
+    y_ref = y_g[0]
+    x_step = x_g[1] - x_ref
+    y_step = y_g[1] - y_ref
+    nb_x = x_g.shape[0]
+    nb_y = y_g.shape[0]
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
+    # Indices which should be never exist
+    i0_old, j0_old, masked = -100000000, -10000000, False
+    z = empty(x.shape, dtype=z_g.dtype)
     for i in prange(x.size):
         x_ = (x[i] - x_ref) / x_step
         y_ = (y[i] - y_ref) / y_step
         i0 = int(floor(x_))
-        i1 = i0 + 1
-        xd = x_ - i0
         j0 = int(floor(y_))
-        j1 = j0 + 1
-        if is_circular:
-            i0 %= nb_x
-            i1 %= nb_x
-        else:
+        # corner are the same need only a new xd and yd
+        if i0 != i0_old or j0 != j0_old:
+            i1 = i0 + 1
+            j1 = j0 + 1
+            if is_circular:
+                i0 %= nb_x
+                i1 %= nb_x
             if i1 >= nb_x or i0 < 0 or j0 < 0 or j1 >= nb_y:
-                z[i] = nan
-                continue
-
-        yd = y_ - j0
-        z00 = z_g[i0, j0]
-        z01 = z_g[i0, j1]
-        z10 = z_g[i1, j0]
-        z11 = z_g[i1, j1]
-        if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
+                masked = True
+            else:
+                masked = False
+            if not masked:
+                if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
+                    masked = True
+                else:
+                    z00, z01, z10, z11 = (
+                        z_g[i0, j0],
+                        z_g[i0, j1],
+                        z_g[i1, j0],
+                        z_g[i1, j1],
+                    )
+                    masked = False
+            # Need to be store only on change
+            i0_old, j0_old = i0, j0
+        if masked:
             z[i] = nan
         else:
-            if nearest:
-                if xd <= 0.5:
-                    if yd <= 0.5:
-                        z[i] = z00
-                    else:
-                        z[i] = z01
-                else:
-                    if yd <= 0.5:
-                        z[i] = z10
-                    else:
-                        z[i] = z11
-            else:
-                z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
-                    z01 * (1 - xd) + z11 * xd
-                ) * yd
+            xd = x_ - i0
+            yd = y_ - j0
+            z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
+                z01 * (1 - xd) + z11 * xd
+            ) * yd
     return z
 
 
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 5da5390e..a7de8f8b 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -1,5 +1,5 @@
 from matplotlib.path import Path
-from numpy import array, ma
+from numpy import array, isnan, ma
 from pytest import approx
 
 from py_eddy_tracker.data import get_path
@@ -69,9 +69,19 @@ def test_interp():
     )
     x0, y0 = array((10,)), array((5,))
     x1, y1 = array((15,)), array((5,))
+    # outside but usable with nearest
+    x2, y2 = array((25,)), array((5,))
+    # Outside for any interpolation
+    x3, y3 = array((25,)), array((16,))
+    x4, y4 = array((55,)), array((25,))
     # Interp nearest
     assert g.interp("z", x0, y0, method="nearest") == 0
     assert g.interp("z", x1, y1, method="nearest") == 2
+    assert isnan(g.interp("z", x4, y4, method="nearest"))
+    assert g.interp("z", x2, y2, method="nearest") == 2
+    assert isnan(g.interp("z", x3, y3, method="nearest"))
+
     # Interp bilinear
     assert g.interp("z", x0, y0) == 1.5
     assert g.interp("z", x1, y1) == 2
+    assert isnan(g.interp("z", x2, y2))

From 7b62de8505876471783bab58a92507dff3a30069 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 11:39:41 +0100
Subject: [PATCH 247/441] speed up of iter_on with numba on digitize

---
 .../observations/observation.py               | 29 ++++++++++++++++++-
 1 file changed, 28 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index c376dc5e..0d0db782 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -491,7 +491,7 @@ def iter_on(self, xname, bins=None):
         if bins is None:
             bins = arange(x.min(), x.max() + 2)
         nb_bins = len(bins) - 1
-        i = digitize(x, bins) - 1
+        i = numba_digitize(x, bins) - 1
         # Not monotonous
         if (d < 0).any():
             i_sort = i.argsort()
@@ -2380,3 +2380,30 @@ def sum_row_column(mask):
                 row_sum[i] += 1
                 column_sum[j] += 1
     return row_sum, column_sum
+
+
+@njit(cache=True)
+def numba_digitize(values, bins):
+    # Check if bins are regular
+    nb_bins = bins.shape[0]
+    step = bins[1] - bins[0]
+    bin_previous = bins[1]
+    for i in range(2, nb_bins):
+        bin_current = bins[i]
+        if step != (bin_current - bin_previous):
+            # If bins are not regular
+            return digitize(values, bins)
+        bin_previous = bin_current
+    nb_values = values.shape[0]
+    out = empty(nb_values, dtype=numba_types.int64)
+    up, down = bins[0], bins[-1]
+    for i in range(nb_values):
+        v_ = values[i]
+        if v_ >= down:
+            out[i] = nb_bins
+            continue
+        if v_ < up:
+            out[i] = 0
+            continue
+        out[i] = (v_ - bins[0]) / step + 1
+    return out

From 4f7fbc44dac65b2879e48fa29dfee4559bba569e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 11:42:34 +0100
Subject: [PATCH 248/441] update examples

---
 examples/06_grid_manipulation/pet_advect.py   | 108 ++++++++++++++----
 examples/06_grid_manipulation/pet_lavd.py     |   8 +-
 .../pet_center_count.py                       |   2 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |   2 +-
 examples/14_generic_tools/pet_fit_contour.py  |   1 +
 examples/16_network/pet_atlas.py              |  66 +++++++++--
 examples/16_network/pet_ioannou_2017_case.py  |   7 +-
 examples/16_network/pet_relative.py           |   6 +-
 .../16_network/pet_replay_segmentation.py     |   7 +-
 .../06_grid_manipulation/pet_advect.ipynb     | 101 ++++++++++++++--
 .../06_grid_manipulation/pet_lavd.ipynb       |   2 +-
 .../pet_center_count.ipynb                    |   2 +-
 .../pet_pixel_used.ipynb                      |   2 +-
 13 files changed, 253 insertions(+), 61 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 838a2511..57ee3bf3 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -4,9 +4,11 @@
 
 Dummy advection which use only static geostrophic current, which didn't resolve the complex circulation of the ocean.
 """
-import numpy as np
+import re
+
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
+from numpy import arange, isnan, meshgrid, ones
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import data
@@ -32,7 +34,7 @@
 fig = plt.figure(figsize=(10, 5))
 ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
 ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
-x, y = np.meshgrid(g.x_c, g.y_c)
+x, y = meshgrid(g.x_c, g.y_c)
 a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
 _ = ax.quiver(x.T, y.T, g.grid("u"), g.grid("v"), scale=20)
 
@@ -41,7 +43,10 @@
 class VideoAnimation(FuncAnimation):
     def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
-        return self.to_html5_video()
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
@@ -56,26 +61,27 @@ def save(self, *args, **kwargs):
 # %%
 # Anim
 # ----
-# Particules positions
-x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))
+# Particles setup
+step_p = 1 / 8
+x, y = meshgrid(arange(13, 36, step_p), arange(28, 40, step_p))
 x, y = x.reshape(-1), y.reshape(-1)
 # Remove all original position that we can't advect at first place
-m = ~np.isnan(g.interp("u", x, y))
-x, y = x[m], y[m]
+m = ~isnan(g.interp("u", x, y))
+x0, y0 = x[m], y[m]
+x, y = x0.copy(), y0.copy()
 
+# %%
 # Movie properties
-kwargs = dict(frames=np.arange(51), interval=90)
+kwargs = dict(frames=arange(51), interval=100)
 kw_p = dict(nb_step=2, time_step=21600)
 frame_t = kw_p["nb_step"] * kw_p["time_step"] / 86400.0
 
 
-def anim_ax(generator, **kw):
+# %%
+# Method
+def anim_ax(**kw):
     t = 0
-    for _ in range(4):
-        generator.__next__()
-        t += frame_t
-
-    fig = plt.figure(figsize=(10, 5), dpi=64)
+    fig = plt.figure(figsize=(10, 5), dpi=55)
     ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
     ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
     a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
@@ -94,20 +100,74 @@ def update(i_frame, t_step):
 # %%
 # Filament forward
 # ^^^^^^^^^^^^^^^^
-p = g.filament(x, y, "u", "v", **kw_p, filament_size=4, rk4=True)
-fig, txt, l, t = anim_ax(p, lw=0.5)
+# Draw 3 last position in one path for each particles.,
+# it could be run backward with `backward=True` option in filament method
+p = g.filament(x, y, "u", "v", **kw_p, filament_size=3)
+fig, txt, l, t = anim_ax(lw=0.5)
 ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
 
 # %%
-# Filament backward
+# Particle forward
 # ^^^^^^^^^^^^^^^^^
-p = g.filament(x, y, "u", "v", **kw_p, filament_size=4, backward=True, rk4=True)
-fig, txt, l, t = anim_ax(p, lw=0.5)
+# Forward advection of particles
+p = g.advect(x, y, "u", "v", **kw_p)
+fig, txt, l, t = anim_ax(ls="", marker=".", markersize=1)
+ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
+
+# %%
+# We get last position and run backward until original position
+p = g.advect(x, y, "u", "v", **kw_p, backward=True)
+fig, txt, l, _ = anim_ax(ls="", marker=".", markersize=1)
 ani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))
 
 # %%
-# Particule forward
-# ^^^^^^^^^^^^^^^^^
-p = g.advect(x, y, "u", "v", **kw_p, rk4=True)
-fig, txt, l, t = anim_ax(p, ls="", marker=".", markersize=1)
-ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
+# Particles stat
+# --------------
+
+# %%
+# Time_step settings
+# ^^^^^^^^^^^^^^^^^^
+# Dummy experiment to test advection precision, we run particles 50 days forward and backward ad different time step
+# and we measure distance between new positions and original positions.
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.grid()
+kw = dict(
+    bins=arange(0, 50, 0.001),
+    cumulative=True,
+    weights=ones(x0.shape) / x0.shape[0] * 100.0,
+    histtype="step",
+)
+for time_step in (10800, 21600, 43200, 86400):
+    x, y = x0.copy(), y0.copy()
+    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)
+    g.advect(x, y, "u", "v", **kw_advect).__next__()
+    g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
+    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
+    ax.hist(d, **kw, label=f"{86400. / time_step:.0f} time step by day")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right")
+ax.set_title("Distance after 50 days forward and 50 days backward")
+ax.set_xlabel("Distance between original position and final position (in degrees)")
+_ = ax.set_ylabel("Percent of particles with distance lesser than")
+
+# %%
+# Time duration
+# ^^^^^^^^^^^^^
+# We keep same time_step but change time duration
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.grid()
+time_step = 10800
+for duration in (5, 50, 100):
+    x, y = x0.copy(), y0.copy()
+    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)
+    g.advect(x, y, "u", "v", **kw_advect).__next__()
+    g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
+    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
+    ax.hist(d, **kw, label=f"Time duration {duration} days")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right")
+ax.set_title(
+    "Distance after N days forward and N days backward\nwith a time step of 1/8 days"
+)
+ax.set_xlabel("Distance between original position and final position (in degrees)")
+_ = ax.set_ylabel("Percent of particles with distance lesser than ")
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 4c4e394c..f3254450 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -7,8 +7,12 @@
 
 Method are described here:
 
-    - Abernathey, Ryan, and George Haller. " Transport by Lagrangian Vortices in the Eastern Pacific", Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021, https://doi.org/10.1175/JPO-D-17-0102.1
-    - `Transport by Coherent Lagrangian Vortices`_, R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019, Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
+    - Abernathey, Ryan, and George Haller. "Transport by Lagrangian Vortices in the Eastern Pacific",
+    Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,
+    https://doi.org/10.1175/JPO-D-17-0102.1
+    - `Transport by Coherent Lagrangian Vortices`_,
+    R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,
+    Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
 
 .. _Transport by Coherent Lagrangian Vortices:
     https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 4533b72f..01c27a0f 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -62,7 +62,7 @@
 
 g_c.vars["count"] = ratio
 m = g_c.display(
-    ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap="coolwarm_r"
+    ax_ratio, name="count", norm=LogNorm(vmin=0.1, vmax=10), cmap="coolwarm_r"
 )
 plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))
 
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 6241bf9f..63a466c9 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -61,7 +61,7 @@
 
 g_c.vars["count"] = ratio
 m = g_c.display(
-    ax_ratio, name="count", vmin=0.1, vmax=10, norm=LogNorm(), cmap="coolwarm_r"
+    ax_ratio, name="count", norm=LogNorm(vmin=0.1, vmax=10), cmap="coolwarm_r"
 )
 plt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))
 
diff --git a/examples/14_generic_tools/pet_fit_contour.py b/examples/14_generic_tools/pet_fit_contour.py
index 34cda453..ca472e34 100644
--- a/examples/14_generic_tools/pet_fit_contour.py
+++ b/examples/14_generic_tools/pet_fit_contour.py
@@ -21,6 +21,7 @@
 # Load example identification file
 a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
 
+
 # %%
 # Function to draw circle or ellips from parameter
 def build_circle(x0, y0, r):
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index cbb7b3e9..dcb15042 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -6,18 +6,16 @@
 from numpy import ma
 
 import py_eddy_tracker.gui
+from py_eddy_tracker.data import get_path
 from py_eddy_tracker.observations.network import NetworkObservations
 
-n = NetworkObservations.load_file(
-    "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
-)
-
+n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
 # %%
 # Parameters
 step = 1 / 10.0
 bins = ((-10, 37, step), (30, 46, step))
 kw_time = dict(cmap="terrain_r", factor=100.0 / n.nb_days, name="count")
-kw_ratio = dict(cmap=plt.get_cmap("magma_r", 10))
+kw_ratio = dict(cmap=plt.get_cmap("viridis", 10))
 
 
 # %%
@@ -149,16 +147,26 @@ def update_axes(ax, mappable=None):
     ax,
     **kw_ratio,
     vmin=0,
-    vmax=1,
+    vmax=5,
     name=g_all_merging.vars["count"] * 100.0 / g_all.vars["count"]
 )
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
+# %%
+# Merging in networks longer than 10 days, with dead end remove (shorter than 5 days)
+# -----------------------------------------------------------------------------------
+ax = start_axes("")
+merger = n10.remove_dead_end(nobs=10).merging_event()
+g_10_merging = merger.grid_count(bins)
+m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)
+update_axes(ax, m).set_label("Pixel used in % of time")
+
 # %%
 # Merging in networks longer than 10 days
 # ---------------------------------------
 ax = start_axes("")
-g_10_merging = n10.merging_event().grid_count(bins)
+merger = n10.merging_event()
+g_10_merging = merger.grid_count(bins)
 m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
@@ -167,10 +175,52 @@ def update_axes(ax, mappable=None):
     ax,
     **kw_ratio,
     vmin=0,
-    vmax=2,
+    vmax=5,
     name=ma.array(
         g_10_merging.vars["count"] * 100.0 / g_10.vars["count"],
         mask=g_10.vars["count"] < 365,
     )
 )
 update_axes(ax, m).set_label("Pixel used in % all atlas")
+
+# %%
+# All Spliting
+# ------------
+# Display the occurence of spliting events
+ax = start_axes("")
+g_all_spliting = n.spliting_event().grid_count(bins)
+m = g_all_spliting.display(ax, **kw_time, vmin=0, vmax=1)
+update_axes(ax, m).set_label("Pixel used in % of time")
+
+# %%
+# Ratio merging events / eddy presence
+ax = start_axes("")
+m = g_all_spliting.display(
+    ax,
+    **kw_ratio,
+    vmin=0,
+    vmax=5,
+    name=g_all_spliting.vars["count"] * 100.0 / g_all.vars["count"]
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
+
+# %%
+# Spliting in networks longer than 10 days
+# ----------------------------------------
+ax = start_axes("")
+g_10_spliting = n10.spliting_event().grid_count(bins)
+m = g_10_spliting.display(ax, **kw_time, vmin=0, vmax=1)
+update_axes(ax, m).set_label("Pixel used in % of time")
+# %%
+ax = start_axes("")
+m = g_10_spliting.display(
+    ax,
+    **kw_ratio,
+    vmin=0,
+    vmax=5,
+    name=ma.array(
+        g_10_spliting.vars["count"] * 100.0 / g_10.vars["count"],
+        mask=g_10.vars["count"] < 365,
+    )
+)
+update_axes(ax, m).set_label("Pixel used in % all atlas")
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 2e7f807e..ff72c22a 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -12,13 +12,14 @@
 from datetime import datetime, timedelta
 
 import numpy as np
+from matplotlib import colors
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
-from matplotlib import colors
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.data import get_path
 from py_eddy_tracker.observations.network import NetworkObservations
 
 
@@ -71,9 +72,7 @@ def update_axes(ax, mappable=None):
 # We know the position and the time of a specific eddy
 #
 # `n.extract_with_mask` give us the corresponding network
-n = NetworkObservations.load_file(
-    "med/Anticyclonic_seg.nc"
-)
+n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
 i = np.where(
     (n.lat > 33)
     * (n.lat < 34)
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index f743d3b4..4a57062a 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -55,7 +55,7 @@
 
 # %%
 # Timeline by mean Effective Radius
-# -----------------------
+# ---------------------------------
 # The factor argument is applied on the chosen field
 fig = plt.figure(figsize=(15, 5))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
@@ -237,7 +237,7 @@
 
 # %%
 # Get birth event
-# ------------------
+# ---------------
 # Display the starting position of non-splitted eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
@@ -248,7 +248,7 @@
 
 # %%
 # Get death event
-# ------------------
+# ---------------
 # Display the last position of non-merged eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index c90fca9d..c88226dd 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -11,13 +11,14 @@
 from datetime import datetime, timedelta
 
 import numpy as np
+from matplotlib import colors
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
-from matplotlib import colors
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.data import get_path
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -120,9 +121,7 @@ def get_obs(dataset):
 
 # %%
 # Get original network, we will isolate only relative at order *2*
-n = NetworkObservations.load_file(
-    "/data/adelepoulle/work/Eddies/20201217_network_build/tracking/med/Anticyclonic_seg.nc"
-)
+n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
 
 n = n.extract_with_mask(n.track == n.track[get_obs(n)])
 n_ = n.relative(get_obs(n), order=2)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 62b3e0a9..fea60cd1 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(10, 5))\nax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\nax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\nx, y = np.meshgrid(g.x_c, g.y_c)\na.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n_ = ax.quiver(x.T, y.T, g.grid(\"u\"), g.grid(\"v\"), scale=20)"
+        "fig = plt.figure(figsize=(10, 5))\nax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\nax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\nx, y = meshgrid(g.x_c, g.y_c)\na.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n_ = ax.quiver(x.T, y.T, g.grid(\"u\"), g.grid(\"v\"), scale=20)"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        return self.to_html5_video()\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\nParticules positions\n\n"
+        "## Anim\nParticles setup\n\n"
       ]
     },
     {
@@ -109,14 +109,14 @@
       },
       "outputs": [],
       "source": [
-        "x, y = np.meshgrid(np.arange(13, 36, 0.125), np.arange(28, 40, 0.125))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nm = ~np.isnan(g.interp(\"u\", x, y))\nx, y = x[m], y[m]\n\n# Movie properties\nkwargs = dict(frames=np.arange(51), interval=90)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0\n\n\ndef anim_ax(generator, **kw):\n    t = 0\n    for _ in range(4):\n        generator.__next__()\n        t += frame_t\n\n    fig = plt.figure(figsize=(10, 5), dpi=64)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    line = ax.plot([], [], \"k\", **kw)[0]\n    return fig, ax.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
+        "step_p = 1 / 8\nx, y = meshgrid(arange(13, 36, step_p), arange(28, 40, step_p))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nm = ~isnan(g.interp(\"u\", x, y))\nx0, y0 = x[m], y[m]\nx, y = x0.copy(), y0.copy()"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Filament forward\n\n"
+        "Movie properties\n\n"
       ]
     },
     {
@@ -127,14 +127,14 @@
       },
       "outputs": [],
       "source": [
-        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=4, rk4=True)\nfig, txt, l, t = anim_ax(p, lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "kwargs = dict(frames=arange(51), interval=100)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Filament backward\n\n"
+        "Method\n\n"
       ]
     },
     {
@@ -145,14 +145,14 @@
       },
       "outputs": [],
       "source": [
-        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=4, backward=True, rk4=True)\nfig, txt, l, t = anim_ax(p, lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
+        "def anim_ax(**kw):\n    t = 0\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    line = ax.plot([], [], \"k\", **kw)[0]\n    return fig, ax.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Particule forward\n\n"
+        "### Filament forward\nDraw 3 last position in one path for each particles.,\nit could be run backward with `backward=True` option in filament method\n\n"
       ]
     },
     {
@@ -163,7 +163,86 @@
       },
       "outputs": [],
       "source": [
-        "p = g.advect(x, y, \"u\", \"v\", **kw_p, rk4=True)\nfig, txt, l, t = anim_ax(p, ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=3)\nfig, txt, l, t = anim_ax(lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Particle forward\nForward advection of particles\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "p = g.advect(x, y, \"u\", \"v\", **kw_p)\nfig, txt, l, t = anim_ax(ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We get last position and run backward until original position\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "p = g.advect(x, y, \"u\", \"v\", **kw_p, backward=True)\nfig, txt, l, _ = anim_ax(ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Particles stat\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Time_step settings\nDummy experiment to test advection precision, we run particles 50 days forward and backward ad different time step\nand we measure distance between new positions and original positions.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax = fig.add_subplot(111)\nax.grid()\nkw = dict(\n    bins=arange(0, 50, 0.001),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\")\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Time duration\nWe keep same time_step but change time duration\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax = fig.add_subplot(111)\nax.grid()\ntime_step = 10800\nfor duration in (5, 50, 100):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\")\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 5241f6bc..82933787 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \" Transport by Lagrangian Vortices in the Eastern Pacific\", Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021, https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_, R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019, Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n    Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n    https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n    R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n    Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 15a4362b..023b9178 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic center frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic center frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies center frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each center\ng_a = a.grid_count(bins, intern=True, center=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True, center=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.27, 0.01, 0.7]))\ncb.set_label(\"Eddies by 1\u00b0^2 by day\")\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", norm=LogNorm(vmin=0.1, vmax=10), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 902ed654..14141cd1 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", vmin=0.1, vmax=10, norm=LogNorm(), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
+        "fig = plt.figure(figsize=(12, 18.5))\nax_a = fig.add_axes([0.03, 0.75, 0.90, 0.25])\nax_a.set_title(\"Anticyclonic frequency\")\nax_c = fig.add_axes([0.03, 0.5, 0.90, 0.25])\nax_c.set_title(\"Cyclonic frequency\")\nax_all = fig.add_axes([0.03, 0.25, 0.90, 0.25])\nax_all.set_title(\"All eddies frequency\")\nax_ratio = fig.add_axes([0.03, 0.0, 0.90, 0.25])\nax_ratio.set_title(\"Ratio cyclonic / Anticyclonic\")\n\n# Count pixel used for each contour\ng_a = a.grid_count(bins, intern=True)\ng_a.display(ax_a, **kwargs_pcolormesh)\ng_c = c.grid_count(bins, intern=True)\ng_c.display(ax_c, **kwargs_pcolormesh)\n# Compute a ratio Cyclonic / Anticyclonic\nratio = g_c.vars[\"count\"] / g_a.vars[\"count\"]\n\n# Mask manipulation to be able to sum the 2 grids\nm_c = g_c.vars[\"count\"].mask\nm = m_c & g_a.vars[\"count\"].mask\ng_c.vars[\"count\"][m_c] = 0\ng_c.vars[\"count\"] += g_a.vars[\"count\"]\ng_c.vars[\"count\"].mask = m\n\nm = g_c.display(ax_all, **kwargs_pcolormesh)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.27, 0.01, 0.7]))\n\ng_c.vars[\"count\"] = ratio\nm = g_c.display(\n    ax_ratio, name=\"count\", norm=LogNorm(vmin=0.1, vmax=10), cmap=\"coolwarm_r\"\n)\nplt.colorbar(m, cax=fig.add_axes([0.95, 0.02, 0.01, 0.2]))\n\nfor ax in (ax_a, ax_c, ax_all, ax_ratio):\n    ax.set_aspect(\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.grid()"
       ]
     },
     {

From b075e2bd672f868965a8cd36715e6caf413f309a Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 16:21:24 +0100
Subject: [PATCH 249/441] add option to increase circle size by a factor

---
 src/py_eddy_tracker/observations/observation.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0d0db782..5885500f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -366,7 +366,7 @@ def add_rotation_type(self):
         new.type_cyc[:] = self.sign_type
         return new
 
-    def circle_contour(self, only_virtual=False):
+    def circle_contour(self, only_virtual=False, factor=1):
         """
         Set contours as a circles from radius and center data.
 
@@ -381,12 +381,12 @@ def circle_contour(self, only_virtual=False):
                 continue
             x, y = obs["lon"], obs["lat"]
             if radius_s:
-                r_s = obs["radius_s"]
+                r_s = obs["radius_s"] * factor
                 obs["contour_lon_s"], obs["contour_lat_s"] = local_to_coordinates(
                     x_norm * r_s, y_norm * r_s, x, y
                 )
             if radius_e:
-                r_e = obs["radius_e"]
+                r_e = obs["radius_e"] * factor
                 obs["contour_lon_e"], obs["contour_lat_e"] = local_to_coordinates(
                     x_norm * r_e, y_norm * r_e, x, y
                 )

From 0f32a116cdca8212ecb1a42871602cd18e804d93 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Mon, 22 Feb 2021 16:21:47 +0100
Subject: [PATCH 250/441] replace list by set for connexions information

---
 src/py_eddy_tracker/observations/network.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 522a34c6..d8c339cf 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -173,8 +173,8 @@ def connexions(self, multi_network=False):
 
         def add_seg(father, child):
             if father not in segments_connexion:
-                segments_connexion[father] = list()
-            segments_connexion[father].append(child)
+                segments_connexion[father] = set()
+            segments_connexion[father].add(child)
 
         previous_obs, next_obs = self.previous_obs, self.next_obs
         for i, seg, _ in self.iter_on(segment):

From 19b2b4f994f488bfbc7f60f5ba5359cf1ef789cc Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 25 Feb 2021 13:05:21 +0100
Subject: [PATCH 251/441] minor fix

---
 examples/06_grid_manipulation/pet_lavd.py      | 8 ++++----
 examples/16_network/pet_replay_segmentation.py | 4 +---
 examples/16_network/pet_segmentation_anim.py   | 4 +---
 3 files changed, 6 insertions(+), 10 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index f3254450..8d29db9b 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -8,11 +8,11 @@
 Method are described here:
 
     - Abernathey, Ryan, and George Haller. "Transport by Lagrangian Vortices in the Eastern Pacific",
-    Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,
-    https://doi.org/10.1175/JPO-D-17-0102.1
+      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,
+      https://doi.org/10.1175/JPO-D-17-0102.1
     - `Transport by Coherent Lagrangian Vortices`_,
-    R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,
-    Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
+      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,
+      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
 
 .. _Transport by Coherent Lagrangian Vortices:
     https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index c88226dd..92b448b4 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -11,13 +11,11 @@
 from datetime import datetime, timedelta
 
 import numpy as np
-from matplotlib import colors
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.data import get_path
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
@@ -34,7 +32,7 @@ def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
             # In this case gif is use to create thumbnail which are not use but consume same time than video
             # So we create an empty file, to save time
-            with open(args[0], "w") as h:
+            with open(args[0], "w") as _:
                 pass
             return
         return super().save(*args, **kwargs)
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index cc0dc23c..922600f5 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -85,6 +85,4 @@ def update(i_frame):
 mappable_tracks = ax.scatter(
     e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20
 )
-ani = VideoAnimation(
-    fig, update, frames=range(1, len(TRACKS), 4), interval=125, blit=True
-)
+ani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)

From 2ecca8369a53238a04ed0139924eb4d5c112cf92 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 25 Feb 2021 13:06:07 +0100
Subject: [PATCH 252/441] remove repeated point in contour to speed up
 computation

---
 .../observations/observation.py               | 34 +++++++++++++++----
 1 file changed, 28 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5885500f..408272b8 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2194,6 +2194,26 @@ def grid_count_pixel_in(
         grid_count_(grid, i, j)
 
 
+@njit(cache=True)
+def reduce_size(x, y):
+    """
+    Reduce array size if last position is repeated, in order to save compute time
+
+    :param array x: longitude
+    :param array y: latitude
+
+    :return: reduce arrays x,y
+    :rtype: ndarray,ndarray
+    """
+    i = x.shape[0]
+    x0, y0 = x[0], y[0]
+    while True:
+        i -= 1
+        if x[i] != x0 or y[i] != y0:
+            i += 1
+            return x[:i], y[:i]
+
+
 @njit(cache=True)
 def poly_indexs(x_p, y_p, x_c, y_c):
     """
@@ -2208,9 +2228,10 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     nb_c = x_c.shape[0]
     indexs = -ones(nb_p, dtype=numba_types.int32)
     for i in range(nb_c):
-        x_c_min, y_c_min = x_c[i].min(), y_c[i].min()
-        x_c_max, y_c_max = x_c[i].max(), y_c[i].max()
-        v = create_vertice(x_c[i], y_c[i])
+        x_, y_ = reduce_size(x_c[i], y_c[i])
+        x_c_min, y_c_min = x_.min(), y_.min()
+        x_c_max, y_c_max = x_.max(), y_.max()
+        v = create_vertice(x_, y_)
         for j in range(nb_p):
             if indexs[j] != -1:
                 continue
@@ -2235,9 +2256,10 @@ def insidepoly(x_p, y_p, x_c, y_c):
     nb_c = x_c.shape[0]
     flag = zeros(nb_p, dtype=numba_types.bool_)
     for i in range(nb_c):
-        x_c_min, y_c_min = x_c[i].min(), y_c[i].min()
-        x_c_max, y_c_max = x_c[i].max(), y_c[i].max()
-        v = create_vertice(x_c[i], y_c[i])
+        x_, y_ = reduce_size(x_c[i], y_c[i])
+        x_c_min, y_c_min = x_.min(), y_.min()
+        x_c_max, y_c_max = x_.max(), y_.max()
+        v = create_vertice(x_, y_)
         for j in range(nb_p):
             if flag[j]:
                 continue

From 98b19f73a24035aa19c5a58d7b5322f6f8d90f3d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <adelepoulle@cls.fr>
Date: Thu, 25 Feb 2021 13:10:46 +0100
Subject: [PATCH 253/441] - Add example to illustrate grouping step: 	- add
 feature to group with in-memory object Simplification of transfer method when
 2 network are joined

---
 examples/16_network/pet_group_anim.py         | 150 ++++++++++++++++++
 src/py_eddy_tracker/observations/network.py   |  19 ++-
 .../observations/observation.py               |   6 +-
 3 files changed, 171 insertions(+), 4 deletions(-)
 create mode 100644 examples/16_network/pet_group_anim.py

diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
new file mode 100644
index 00000000..151366c2
--- /dev/null
+++ b/examples/16_network/pet_group_anim.py
@@ -0,0 +1,150 @@
+"""
+Network group process
+=====================
+"""
+
+import re
+from datetime import datetime
+
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from matplotlib.colors import ListedColormap
+from numba import njit
+from numpy import arange, array, empty, ones
+
+from py_eddy_tracker import data
+from py_eddy_tracker.generic import flatten_line_matrix
+from py_eddy_tracker.observations.network import Network
+from py_eddy_tracker.observations.observation import EddiesObservations
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+NETWORK_GROUPS = list()
+
+
+@njit(cache=True)
+def apply_replace(x, x0, x1):
+    nb = x.shape[0]
+    for i in range(nb):
+        if x[i] == x0:
+            x[i] = x1
+
+
+# %%
+# Modified class to catch group process at each step in order to illustrate processing
+class MyNetwork(Network):
+    def get_group_array(self, results, nb_obs):
+        """With a loop on all pair of index, we will label each obs with a group
+        number
+        """
+        nb_obs = array(nb_obs, dtype="u4")
+        day_start = nb_obs.cumsum() - nb_obs
+        gr = empty(nb_obs.sum(), dtype="u4")
+        gr[:] = self.NOGROUP
+
+        id_free = 1
+        for i, j, ii, ij in results:
+            gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]
+            gr_j = gr[slice(day_start[j], day_start[j] + nb_obs[j])]
+            # obs with no groups
+            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] == self.NOGROUP)
+            nb_new = m.sum()
+            gr_i[ii[m]] = gr_j[ij[m]] = arange(id_free, id_free + nb_new)
+            id_free += nb_new
+            # associate obs with no group with obs with group
+            m = (gr_i[ii] != self.NOGROUP) * (gr_j[ij] == self.NOGROUP)
+            gr_j[ij[m]] = gr_i[ii[m]]
+            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] != self.NOGROUP)
+            gr_i[ii[m]] = gr_j[ij[m]]
+            # case where 2 obs have a different group
+            m = gr_i[ii] != gr_j[ij]
+            if m.any():
+                # Merge of group, ref over etu
+                for i_, j_ in zip(ii[m], ij[m]):
+                    g0, g1 = gr_i[i_], gr_j[j_]
+                    apply_replace(gr, g0, g1)
+            NETWORK_GROUPS.append((i, j, gr.copy()))
+        return gr
+
+
+# %%
+# Movie period
+t0 = (datetime(2005, 5, 1) - datetime(1950, 1, 1)).days
+t1 = (datetime(2005, 6, 1) - datetime(1950, 1, 1)).days
+
+# %%
+# Get data from period and area
+e = EddiesObservations.load_file(data.get_path("Anticyclonic_seg.nc"))
+e = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(
+    dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)
+)
+# %%
+# Reproduce individual daily identification(for demonstration)
+EDDIES_BY_DAYS = list()
+for i, b0, b1 in e.iter_on("time"):
+    EDDIES_BY_DAYS.append(e.index(i))
+# need for display
+e = EddiesObservations.concatenate(EDDIES_BY_DAYS)
+
+# %%
+# Run network building group to intercept every step
+n = MyNetwork.from_eddiesobservations(EDDIES_BY_DAYS, window=7)
+_ = n.group_observations(minimal_area=True)
+
+
+# %%
+def update(frame):
+    i_current, i_match, gr = NETWORK_GROUPS[frame]
+    current = EDDIES_BY_DAYS[i_current]
+    x = flatten_line_matrix(current.contour_lon_e)
+    y = flatten_line_matrix(current.contour_lat_e)
+    current_contour.set_data(x, y)
+    match = EDDIES_BY_DAYS[i_match]
+    x = flatten_line_matrix(match.contour_lon_e)
+    y = flatten_line_matrix(match.contour_lat_e)
+    matched_contour.set_data(x, y)
+    groups.set_array(gr)
+    txt.set_text(f"Day {i_current} match with day {i_match}")
+    s = 80 * ones(gr.shape)
+    s[gr == 0] = 4
+    groups.set_sizes(s)
+
+
+# %%
+# Anim
+# ----
+fig = plt.figure(figsize=(16, 9), dpi=50)
+ax = fig.add_axes([0, 0, 1, 1])
+ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(32, 36.5)
+groups = ax.scatter(
+    e.lon,
+    e.lat,
+    c=NETWORK_GROUPS[0][2],
+    cmap=ListedColormap(["gray", *e.COLORS[:-1]], name="from_list", N=30),
+    vmin=0,
+    vmax=30,
+)
+current_contour = ax.plot([], [], "k", lw=2, label="Current contour")[0]
+matched_contour = ax.plot([], [], "r", lw=1, ls="--", label="Candidate contour")[0]
+txt = ax.text(31.5, 35.5, "", fontsize=25)
+ax.legend(fontsize=25)
+ani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index d8c339cf..973989e3 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -43,6 +43,8 @@ def __init__(self, buffersize, intern=False, memory=False):
         self.memory = memory
 
     def load_contour(self, filename):
+        if isinstance(filename, EddiesObservations):
+            return filename[self.xname], filename[self.yname]
         if filename not in self.DATA:
             if len(self.FLIST) > self.buffersize:
                 self.DATA.pop(self.FLIST.pop(0))
@@ -815,10 +817,18 @@ def __init__(self, input_regex, window=5, intern=False, memory=False):
         """
         self.window = window
         self.buffer = Buffer(window, intern, memory)
+        self.memory = memory
+
         self.filenames = glob(input_regex)
         self.filenames.sort()
         self.nb_input = len(self.filenames)
-        self.memory = memory
+
+    @classmethod
+    def from_eddiesobservations(cls, observations, *args, **kwargs):
+        new = cls("", *args, **kwargs)
+        new.filenames = observations
+        new.nb_input = len(new.filenames)
+        return new
 
     def get_group_array(self, results, nb_obs):
         """With a loop on all pair of index, we will label each obs with a group
@@ -849,10 +859,13 @@ def get_group_array(self, results, nb_obs):
             if m.any():
                 # Merge of group, ref over etu
                 for i_, j_ in zip(ii[m], ij[m]):
-                    merge_id.append((gr_i[i_], gr_j[j_]))
+                    g0, g1 = gr_i[i_], gr_j[j_]
+                    if g0 > g1:
+                        g0, g1 = g1, g0
+                    merge_id.append((g0, g1))
 
         gr_transfer = arange(id_free, dtype="u4")
-        for i, j in merge_id:
+        for i, j in set(merge_id):
             gr_i, gr_j = gr_transfer[i], gr_transfer[j]
             if gr_i != gr_j:
                 apply_replace(gr_transfer, gr_i, gr_j)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 408272b8..4e671147 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -490,6 +490,8 @@ def iter_on(self, xname, bins=None):
         d = x[1:] - x[:-1]
         if bins is None:
             bins = arange(x.min(), x.max() + 2)
+        elif not isinstance(bins, ndarray):
+            bins = array(bins)
         nb_bins = len(bins) - 1
         i = numba_digitize(x, bins) - 1
         # Not monotonous
@@ -1609,7 +1611,9 @@ def extract_with_area(self, area, **kwargs):
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.extract_with_area
         """
-        mask = (self.latitude > area["llcrnrlat"]) * (self.latitude < area["urcrnrlat"])
+        lat0 = area.get("llcrnrlat", -90)
+        lat1 = area.get("urcrnrlat", 90)
+        mask = (self.latitude > lat0) * (self.latitude < lat1)
         lon0 = area["llcrnrlon"]
         lon = (self.longitude - lon0) % 360 + lon0
         mask *= (lon > lon0) * (lon < area["urcrnrlon"])

From d7656c30a8c13d591013828fa445feefe7aeb702 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Thu, 25 Feb 2021 14:00:07 +0100
Subject: [PATCH 254/441] Modification dissociate (#56)

* update animation example

* dissociate_network for multiple networks
---
 examples/16_network/pet_segmentation_anim.py | 14 ++++++-
 src/py_eddy_tracker/observations/network.py  | 42 +++++++++++++++-----
 2 files changed, 45 insertions(+), 11 deletions(-)

diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 922600f5..360ccedf 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -37,12 +37,14 @@ def save(self, *args, **kwargs):
 # %%
 # Overlaod of class to pick up
 TRACKS = list()
+INDICES = list()
 
 
 class MyTrack(TrackEddiesObservations):
     @staticmethod
     def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
         TRACKS.append(ids["track"].copy())
+        INDICES.append(i_current)
         return TrackEddiesObservations.get_next_obs(
             i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs
         )
@@ -70,9 +72,16 @@ def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
 def update(i_frame):
     tr = TRACKS[i_frame]
     mappable_tracks.set_array(tr)
-    s = 80 * ones(tr.shape)
+    s = 40 * ones(tr.shape)
     s[tr == 0] = 4
     mappable_tracks.set_sizes(s)
+
+    indices_frames = INDICES[i_frame]
+    mappable_CONTOUR.set_data(
+        e.contour_lon_e[indices_frames],
+        e.contour_lat_e[indices_frames],
+    )
+    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])
     return (mappable_tracks,)
 
 
@@ -85,4 +94,7 @@ def update(i_frame):
 mappable_tracks = ax.scatter(
     e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20
 )
+mappable_CONTOUR = ax.plot(
+    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]
+)[0]
 ani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 973989e3..33b857ca 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -166,6 +166,9 @@ def obs_relative_order(self, i_obs):
         return self.segment_relative_order(self.segment[i_obs])
 
     def connexions(self, multi_network=False):
+        """
+        create dictionnary for each segments, gives the segments which interact with
+        """
         if multi_network:
             segment = self.segment_track_array
         else:
@@ -650,10 +653,12 @@ def dissociate_network(self):
         """
         Dissociate network with no known interaction (spliting/merging)
         """
-        self.only_one_network()
-        tags = self.tag_segment()
-        # FIXME : Ok if only one network
-        self.track[:] = tags[self.segment - 1]
+
+        tags = self.tag_segment(multi_network=True)
+        if self.track[0] == 0:
+            tags -= 1
+
+        self.track[:] = tags[self.segment_track_array]
 
         i_sort = self.obs.argsort(order=("track", "segment", "time"), kind="mergesort")
         # Sort directly obs, with hope to save memory
@@ -674,23 +679,40 @@ def network(self, id_network):
 
     @classmethod
     def __tag_segment(cls, seg, tag, groups, connexions):
+        """
+        Will set same temporary ID for each connected segment.
+
+        :param int seg: current ID of seg
+        :param ing tag: temporary ID to set for seg and its connexion
+        :param array[int] groups: array where tag will be stored
+        :param dict connexions: gives for one ID of seg all seg connected
+        """
+        # If seg are already used we stop recursivity
         if groups[seg] != 0:
             return
+        # We set tag for this seg
         groups[seg] = tag
-        segs = connexions.get(seg + 1, None)
+        # Get all connexions of this seg
+        segs = connexions.get(seg, None)
         if segs is not None:
             for seg in segs:
-                cls.__tag_segment(seg - 1, tag, groups, connexions)
+                # For each connexion we apply same function
+                cls.__tag_segment(seg, tag, groups, connexions)
 
-    def tag_segment(self):
-        self.only_one_network()
-        nb = self.segment.max()
+    def tag_segment(self, multi_network=False):
+        if multi_network:
+            nb = self.segment_track_array[-1] + 1
+        else:
+            nb = self.segment.max() + 1
         sub_group = zeros(nb, dtype="u4")
-        c = self.connexions()
+        c = self.connexions(multi_network=multi_network)
         j = 1
+        # for each available id
         for i in range(nb):
+            # Skip if already set
             if sub_group[i] != 0:
                 continue
+            # we tag an unset segments and explore all connexions
             self.__tag_segment(i, j, sub_group, c)
             j += 1
         return sub_group

From 24dbe92a50400af9dfed9084f8ba33349129d2f2 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 26 Feb 2021 13:03:01 +0100
Subject: [PATCH 255/441] Use numba to compute stencil

---
 doc/run_tracking.rst                |   2 +-
 src/py_eddy_tracker/dataset/grid.py | 218 +++++++++++++++++++---------
 2 files changed, 148 insertions(+), 72 deletions(-)

diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 0760d7bb..0a03848d 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -7,7 +7,7 @@ Requirements
 
 Before to run tracking, you will need to run identification on every time step of the period (period of your study).
 
-**Advice** : Before to run tracking, displaying some identification file allows one to learn a lot
+**Advice** : Before to run tracking, displaying some identification file allows to learn a lot
 
 Default method
 **************
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index bdbe2ea3..96abbea7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -23,7 +23,6 @@
     float_,
     floor,
     histogram2d,
-    int8,
     int_,
     interp,
     isnan,
@@ -47,7 +46,7 @@
 )
 from pint import UnitRegistry
 from scipy.interpolate import RectBivariateSpline, interp1d
-from scipy.ndimage import convolve, gaussian_filter
+from scipy.ndimage import gaussian_filter
 from scipy.signal import welch
 from scipy.spatial import cKDTree
 from scipy.special import j1
@@ -1677,77 +1676,19 @@ def compute_stencil(
 
         ...
 
-
         """
         stencil_halfwidth = max(min(int(stencil_halfwidth), 4), 1)
         logger.debug("Stencil half width apply : %d", stencil_halfwidth)
-        # output
-        grad = None
-
-        weights = [
-            array((3, -32, 168, -672, 0, 672, -168, 32, -3)) / 840.0,
-            array((-1, 9, -45, 0, 45, -9, 1)) / 60.0,
-            array((1, -8, 0, 8, -1)) / 12.0,
-            array((-1, 0, 1)) / 2.0,
-            # uncentered kernel
-            # like array((0, -1, 1)) but left value could be default value
-            array((-1, 1)),
-            # like array((-1, 1, 0)) but right value could be default value
-            (1, array((-1, 1))),
-        ]
-        # reduce to stencil selected
-        weights = weights[4 - stencil_halfwidth :]
-        if vertical:
-            data = data.T
-        # Iteration from larger stencil to smaller (to fill matrix)
-        for weight in weights:
-            if isinstance(weight, tuple):
-                # In the case of unbalanced diff
-                shift, weight = weight
-                data_ = data.copy()
-                data_[shift:] = data[:-shift]
-                if not vertical:
-                    data_[:shift] = data[-shift:]
-            else:
-                data_ = data
-            # Delta h
-            d_h = convolve(data_, weights=weight.reshape((-1, 1)), mode=mode)
-            mask = convolve(
-                int8(data_.mask), weights=ones(weight.shape).reshape((-1, 1)), mode=mode
-            )
-            d_h = ma.array(d_h, mask=mask != 0)
-
-            # Delta d
-            if vertical:
-                d_h = d_h.T
-                d = self.EARTH_RADIUS * 2 * pi / 360 * convolve(self.y_c, weight)
-            else:
-                if mode == "wrap":
-                    # Along x axis, we need to close
-                    # we will compute in two part
-                    x = self.x_c % 360
-                    d_degrees = convolve(x, weight, mode=mode)
-                    d_degrees_180 = convolve((x + 180) % 360 - 180, weight, mode=mode)
-                    # Arbitrary, to be sure to be far far away of bound
-                    m = (x < 90) + (x > 270)
-                    d_degrees[m] = d_degrees_180[m]
-                else:
-                    d_degrees = convolve(self.x_c, weight, mode=mode)
-                d = (
-                    self.EARTH_RADIUS
-                    * 2
-                    * pi
-                    / 360
-                    * d_degrees.reshape((-1, 1))
-                    * cos(deg2rad(self.y_c))
-                )
-            if grad is None:
-                # First Gradient
-                grad = d_h / d
-            else:
-                # Fill hole
-                grad[grad.mask] = (d_h / d)[grad.mask]
-        return grad
+        g, m = compute_stencil(
+            self.x_c,
+            self.y_c,
+            data.data,
+            data.mask,
+            self.EARTH_RADIUS,
+            vertical=vertical,
+            stencil_halfwidth=stencil_halfwidth,
+        )
+        return ma.array(g, mask=m)
 
     def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
         self.add_uv(grid_height, uname, vname)
@@ -1804,13 +1745,26 @@ def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
         self.vars[uname][:, sl] = self.vars[uname][:, sl] * w + u_lagerloef * (1 - w)
 
     def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
-        """Compute a u and v grid
+        r"""Compute a u and v grid
 
         :param str grid_height: grid name where the funtion will apply stencil method
         :param str uname: future name of u
         :param str vname: future name of v
         :param int stencil_halfwidth: largest stencil could be apply (max: 4)
 
+        .. math::
+            u = \frac{g}{f} \frac{dh}{dy}
+
+            v = -\frac{g}{f} \frac{dh}{dx}
+
+        where
+
+        .. math::
+            g = gravity
+
+            f = 2 \Omega sin(\phi)
+
+
         .. minigallery:: py_eddy_tracker.RegularGridDataset.add_uv
         """
         logger.info("Add u/v variable with stencil method")
@@ -2665,3 +2619,125 @@ def advect_t_rk4(
             x_ += dx
             y_ += dy
         x[i], y[i] = x_, y_
+
+
+@njit(
+    [
+        "Tuple((f8[:,:],b1[:,:]))(f8[:],f8[:],f8[:,:],b1[:,:],f8,b1,i1)",
+        "Tuple((f4[:,:],b1[:,:]))(f8[:],f8[:],f4[:,:],b1[:,:],f8,b1,i1)",
+    ],
+    cache=True,
+    fastmath=True,
+)
+def compute_stencil(x, y, h, m, earth_radius, vertical=False, stencil_halfwidth=4):
+    """
+    Compute stencil on RegularGrid
+
+    :param array x: longitude coordinates
+    :param array y: latitude coordinates
+    :param array h: 2D array to derivate
+    :param array m: mask associate to h to know where are invalid data
+    :param float earth_radius: Earth radius in m
+    :param bool vertical: if True stencil will be vertical (along y)
+    :param int stencil_halfwidth: from 1 to 4 to specify maximal kernel usable
+
+
+    stencil_halfwidth:
+
+        - (1) :
+
+            - (-1, 1, 0)
+            - (0, -1, 1)
+            - (-1, 0, 1) / 2
+
+        - (2) : (1, -8, 0, 8, 1) / 12
+        - (3) : (-1, 9, -45, 0, 45, -9, 1) / 60
+        - (4) : (3, -32, 168, -672, 0, 672, -168, 32, 3) / 840
+    """
+    if vertical:
+        # If vertical we transpose matrix and inverse coordinates
+        h = h.T
+        m = m.T
+        x, y = y, x
+    shape = h.shape
+    nb_x, nb_y = shape
+    # Out array
+    m_out = empty(shape, dtype=numba_types.bool_)
+    grad = empty(shape, dtype=h.dtype)
+    # Distance step in degrees
+    d_step = x[1] - x[0]
+    if vertical:
+        is_circular = False
+    else:
+        # Test if matrix is circular
+        is_circular = abs(x[-1] % 360 - (x[0] - d_step) % 360) < 1e-5
+
+    # Compute caracteristic distance, constant when vertical
+    d_ = 360 / (d_step * pi * 2 * earth_radius)
+    for j in range(nb_y):
+        # Buffer of maximal size of stencil (9)
+        if is_circular:
+            h_3, h_2, h_1, h0 = h[-4, j], h[-3, j], h[-2, j], h[-1, j]
+            m_3, m_2, m_1, m0 = m[-4, j], m[-3, j], m[-2, j], m[-1, j]
+        else:
+            m_3, m_2, m_1, m0 = False, False, False, False
+        h1, h2, h3, h4 = h[0, j], h[1, j], h[2, j], h[3, j]
+        m1, m2, m3, m4 = m[0, j], m[1, j], m[2, j], m[3, j]
+        for i in range(nb_x):
+            # Roll value and only last
+            h_4, h_3, h_2, h_1, h0, h1, h2, h3 = h_3, h_2, h_1, h0, h1, h2, h3, h4
+            m_4, m_3, m_2, m_1, m0, m1, m2, m3 = m_3, m_2, m_1, m0, m1, m2, m3, m4
+            i_ = i + 4
+            if i_ >= nb_x:
+                if is_circular:
+                    i_ = i_ % nb_x
+                    m4 = m[i_, j]
+                    h4 = h[i_, j]
+                else:
+                    # When we are out
+                    m4 = False
+            else:
+                m4 = m[i_, j]
+                h4 = h[i_, j]
+
+            # Current value not defined
+            if m0:
+                m_out[i, j] = True
+                continue
+            if not vertical:
+                # For each row we compute distance
+                d_ = 360 / (d_step * cos(deg2rad(y[j])) * pi * 2 * earth_radius)
+            if m1 ^ m_1:
+                # unbalanced kernel
+                if m_1:
+                    grad[i, j] = (h1 - h0) * d_
+                    m_out[i, j] = False
+                    continue
+                if m1:
+                    grad[i, j] = (h0 - h_1) * d_
+                    m_out[i, j] = False
+                    continue
+                continue
+            if m2 or m_2 or stencil_halfwidth == 1:
+                grad[i, j] = (h1 - h_1) / 2 * d_
+                m_out[i, j] = False
+                continue
+            if m3 or m_3 or stencil_halfwidth == 2:
+                grad[i, j] = (h_2 - h2 + 8 * (h1 - h_1)) / 12 * d_
+                m_out[i, j] = False
+                continue
+            if m4 or m_4 or stencil_halfwidth == 3:
+                grad[i, j] = (h3 - h_3 + 9 * (h_2 - h2) + 45 * (h1 - h_1)) / 60 * d_
+                m_out[i, j] = False
+                continue
+            # If all value of buffer are available
+            grad[i, j] = (
+                (3 * (h_4 - h4) + 32 * (h3 - h_3) + 168 * (h_2 - h2) + 672 * (h1 - h_1))
+                / 840
+                * d_
+            )
+            m_out[i, j] = False
+    if vertical:
+        return grad.T, m_out.T
+    else:
+        return grad, m_out

From da2fbe28d7bf7208577d5b220e191326852969cd Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 26 Feb 2021 15:50:09 +0100
Subject: [PATCH 256/441] Label will be expand in filled observation method

---
 src/py_eddy_tracker/observations/observation.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 4e671147..938cb905 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1712,6 +1712,8 @@ def filled(
             v = (v - vmin) / (vmax - vmin)
             colors = [cmap(v_) for v_ in v]
             kwargs["facecolors"] = colors
+        if "label" in kwargs:
+            kwargs["label"] = self.format_label(kwargs["label"])
         c = PolyCollection(verts, **kwargs)
         ax.add_collection(c)
         c.cmap = cmap

From 61190bd6dd148638c9d8c91b28ec4215f738201f Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 2 Mar 2021 11:13:54 +0100
Subject: [PATCH 257/441] Add doc

---
 doc/installation.rst                         | 8 +++++++-
 examples/02_eddy_identification/README.rst   | 2 ++
 examples/06_grid_manipulation/README.rst     | 2 +-
 examples/08_tracking_manipulation/README.rst | 2 ++
 examples/10_tracking_diagnostics/README.rst  | 2 ++
 examples/12_external_data/README.rst         | 2 ++
 examples/14_generic_tools/README.rst         | 1 +
 7 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/doc/installation.rst b/doc/installation.rst
index 40ce9ad5..b2bcb45c 100644
--- a/doc/installation.rst
+++ b/doc/installation.rst
@@ -2,7 +2,13 @@
 How do I get set up ?
 =====================
 
-Source are available on github https://github.com/AntSimi/py-eddy-tracker
+You could install stable version with pip
+
+.. code-block:: bash
+
+    pip install pyEddyTracker
+
+Or with source which are available on github https://github.com/AntSimi/py-eddy-tracker
 
 Use python3.
 To avoid problems with installation, use of the virtualenv Python virtual environment is recommended or conda.
diff --git a/examples/02_eddy_identification/README.rst b/examples/02_eddy_identification/README.rst
index 30d23e5b..07ef8f44 100644
--- a/examples/02_eddy_identification/README.rst
+++ b/examples/02_eddy_identification/README.rst
@@ -1,2 +1,4 @@
 Eddy detection
 ==============
+
+Method to detect eddies from grid and display, with various parameters.
diff --git a/examples/06_grid_manipulation/README.rst b/examples/06_grid_manipulation/README.rst
index 7a300f82..a885d867 100644
--- a/examples/06_grid_manipulation/README.rst
+++ b/examples/06_grid_manipulation/README.rst
@@ -1,2 +1,2 @@
 Grid Manipulation
-=================
\ No newline at end of file
+=================
diff --git a/examples/08_tracking_manipulation/README.rst b/examples/08_tracking_manipulation/README.rst
index 2626f19d..a971049f 100644
--- a/examples/08_tracking_manipulation/README.rst
+++ b/examples/08_tracking_manipulation/README.rst
@@ -1,2 +1,4 @@
 Tracking Manipulation
 =====================
+
+Method to subset and display atlas.
\ No newline at end of file
diff --git a/examples/10_tracking_diagnostics/README.rst b/examples/10_tracking_diagnostics/README.rst
index 1c4e690a..2030c0cc 100644
--- a/examples/10_tracking_diagnostics/README.rst
+++ b/examples/10_tracking_diagnostics/README.rst
@@ -1,2 +1,4 @@
 Tracking diagnostics
 ====================
+
+Method to produce statistics with eddies atlas.
\ No newline at end of file
diff --git a/examples/12_external_data/README.rst b/examples/12_external_data/README.rst
index cc9d4e2f..7ecbe30b 100644
--- a/examples/12_external_data/README.rst
+++ b/examples/12_external_data/README.rst
@@ -1,2 +1,4 @@
 External data
 =============
+
+Eddies comparison with external data
diff --git a/examples/14_generic_tools/README.rst b/examples/14_generic_tools/README.rst
index 0f949ec4..295d55fe 100644
--- a/examples/14_generic_tools/README.rst
+++ b/examples/14_generic_tools/README.rst
@@ -1,3 +1,4 @@
 Polygon tools
 =============
 
+Method to work with contour
\ No newline at end of file

From 4a572e81e88dda67a308b90126e0304d008d44f8 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 2 Mar 2021 11:14:31 +0100
Subject: [PATCH 258/441] move method

---
 src/py_eddy_tracker/observations/network.py   |  1 +
 .../observations/observation.py               | 21 +------------------
 src/py_eddy_tracker/poly.py                   | 20 ++++++++++++++++++
 3 files changed, 22 insertions(+), 20 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 33b857ca..8989c01f 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -886,6 +886,7 @@ def get_group_array(self, results, nb_obs):
                         g0, g1 = g1, g0
                     merge_id.append((g0, g1))
 
+        # FIXME: how it's work when several merge ? like (0,1), (0,2), (1,3)
         gr_transfer = arange(id_free, dtype="u4")
         for i, j in set(merge_id):
             gr_i, gr_j = gr_transfer[i], gr_transfer[j]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 938cb905..6920659e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -65,6 +65,7 @@
     convexs,
     create_vertice,
     get_pixel_in_regular,
+    reduce_size,
     vertice_overlap,
     winding_number_poly,
 )
@@ -2200,26 +2201,6 @@ def grid_count_pixel_in(
         grid_count_(grid, i, j)
 
 
-@njit(cache=True)
-def reduce_size(x, y):
-    """
-    Reduce array size if last position is repeated, in order to save compute time
-
-    :param array x: longitude
-    :param array y: latitude
-
-    :return: reduce arrays x,y
-    :rtype: ndarray,ndarray
-    """
-    i = x.shape[0]
-    x0, y0 = x[0], y[0]
-    while True:
-        i -= 1
-        if x[i] != x0 or y[i] != y0:
-            i += 1
-            return x[:i], y[:i]
-
-
 @njit(cache=True)
 def poly_indexs(x_p, y_p, x_c, y_c):
     """
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index d1bf5fb8..7790b3ec 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -765,3 +765,23 @@ def visvalingam(x, y, fixed_size=18):
     x_new[j:] = x_new[0]
     y_new[j:] = y_new[0]
     return x_new, y_new
+
+
+@njit(cache=True)
+def reduce_size(x, y):
+    """
+    Reduce array size if last position is repeated, in order to save compute time
+
+    :param array x: longitude
+    :param array y: latitude
+
+    :return: reduce arrays x,y
+    :rtype: ndarray,ndarray
+    """
+    i = x.shape[0]
+    x0, y0 = x[0], y[0]
+    while True:
+        i -= 1
+        if x[i] != x0 or y[i] != y0:
+            i += 1
+            return x[:i], y[:i]

From 1bfd5c0fd232cd47f68357bbf00c8fe89ba77952 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 2 Mar 2021 11:15:45 +0100
Subject: [PATCH 259/441] Add data cube over med for example

---
 .../data/dt_med_allsat_phy_l4_2005T2.nc       | Bin 0 -> 2051901 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 src/py_eddy_tracker/data/dt_med_allsat_phy_l4_2005T2.nc

diff --git a/src/py_eddy_tracker/data/dt_med_allsat_phy_l4_2005T2.nc b/src/py_eddy_tracker/data/dt_med_allsat_phy_l4_2005T2.nc
new file mode 100644
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HcmV?d00001


From fa09c06830e6d697b2b9f1a48b668c68e8ac3bd5 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 2 Mar 2021 11:36:20 +0100
Subject: [PATCH 260/441] typos

---
 examples/06_grid_manipulation/pet_advect.py            |  6 +++---
 examples/06_grid_manipulation/pet_lavd.py              | 10 ++++------
 .../06_grid_manipulation/pet_advect.ipynb              |  6 +++---
 .../python_module/06_grid_manipulation/pet_lavd.ipynb  | 10 +++++-----
 4 files changed, 15 insertions(+), 17 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 57ee3bf3..a1df860f 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -104,7 +104,7 @@ def update(i_frame, t_step):
 # it could be run backward with `backward=True` option in filament method
 p = g.filament(x, y, "u", "v", **kw_p, filament_size=3)
 fig, txt, l, t = anim_ax(lw=0.5)
-ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
+_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
 
 # %%
 # Particle forward
@@ -112,13 +112,13 @@ def update(i_frame, t_step):
 # Forward advection of particles
 p = g.advect(x, y, "u", "v", **kw_p)
 fig, txt, l, t = anim_ax(ls="", marker=".", markersize=1)
-ani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
+_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
 
 # %%
 # We get last position and run backward until original position
 p = g.advect(x, y, "u", "v", **kw_p, backward=True)
 fig, txt, l, _ = anim_ax(ls="", marker=".", markersize=1)
-ani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))
+_ = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))
 
 # %%
 # Particles stat
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 8d29db9b..6e86933d 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -27,7 +27,7 @@
 import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
-from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.observations.observation import EddiesObservations
 
 
 # %%
@@ -63,8 +63,6 @@ def _repr_html_(self, *args, **kwargs):
             r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
         )
 
-        return
-
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
             # In this case gif is use to create thumbnail which are not use but consume same time than video
@@ -150,7 +148,7 @@ def update(i_frame):
 # pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular
 pcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)
 update_axes(ax, pcolormesh)
-ani = VideoAnimation(ax.figure, update, **kw_video)
+_ = VideoAnimation(ax.figure, update, **kw_video)
 
 # %%
 # Final LAVD
@@ -173,8 +171,8 @@ def update(i_frame):
 # Period used for LAVD integration (8 days) is too short for a real use, but choose for example efficiency.
 fig, ax, _ = start_ax()
 mappable = lavd.display(ax, "lavd", **kw_vorticity)
-NetworkObservations.load_file(get_path("Anticyclonic_20160515.nc")).display(
+EddiesObservations.load_file(get_path("Anticyclonic_20160515.nc")).display(
     ax, color="k"
 )
-NetworkObservations.load_file(get_path("Cyclonic_20160515.nc")).display(ax, color="k")
+EddiesObservations.load_file(get_path("Cyclonic_20160515.nc")).display(ax, color="k")
 _ = update_axes(ax, mappable)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index fea60cd1..34a72c94 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -163,7 +163,7 @@
       },
       "outputs": [],
       "source": [
-        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=3)\nfig, txt, l, t = anim_ax(lw=0.5)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=3)\nfig, txt, l, t = anim_ax(lw=0.5)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
       ]
     },
     {
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "p = g.advect(x, y, \"u\", \"v\", **kw_p)\nfig, txt, l, t = anim_ax(ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "p = g.advect(x, y, \"u\", \"v\", **kw_p)\nfig, txt, l, t = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
       ]
     },
     {
@@ -199,7 +199,7 @@
       },
       "outputs": [],
       "source": [
-        "p = g.advect(x, y, \"u\", \"v\", **kw_p, backward=True)\nfig, txt, l, _ = anim_ax(ls=\"\", marker=\".\", markersize=1)\nani = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
+        "p = g.advect(x, y, \"u\", \"v\", **kw_p, backward=True)\nfig, txt, l, _ = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 82933787..be1a9c78 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n    Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n    https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n    R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n    Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -48,7 +48,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n        return\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -138,7 +138,7 @@
       },
       "outputs": [],
       "source": [
-        "def update(i_frame):\n    global lavd, i\n    i += 1\n    x, y = particule.__next__()\n    # Interp vorticity on new_position\n    lavd += abs(g.interp(\"vort\", x, y).reshape(original_shape) * 1 / nb_time)\n    txt.set_text(f\"T0 + {i / step_by_day:.2f} days of advection\")\n    pcolormesh.set_array(lavd / i * nb_time)\n    return pcolormesh, txt\n\n\nkw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)\nfig, ax, txt = start_ax(dpi=60)\nx_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(\n    28 - step / 2, 46 + step / 2, step\n)\n# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular\npcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)\nupdate_axes(ax, pcolormesh)\nani = VideoAnimation(ax.figure, update, **kw_video)"
+        "def update(i_frame):\n    global lavd, i\n    i += 1\n    x, y = particule.__next__()\n    # Interp vorticity on new_position\n    lavd += abs(g.interp(\"vort\", x, y).reshape(original_shape) * 1 / nb_time)\n    txt.set_text(f\"T0 + {i / step_by_day:.2f} days of advection\")\n    pcolormesh.set_array(lavd / i * nb_time)\n    return pcolormesh, txt\n\n\nkw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)\nfig, ax, txt = start_ax(dpi=60)\nx_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(\n    28 - step / 2, 46 + step / 2, step\n)\n# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular\npcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)\nupdate_axes(ax, pcolormesh)\n_ = VideoAnimation(ax.figure, update, **kw_video)"
       ]
     },
     {
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nNetworkObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nNetworkObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
+        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nEddiesObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nEddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
       ]
     }
   ],

From 3975a22e0d964b514d886b556af2eaec7b2ecccd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Tue, 2 Mar 2021 14:29:35 +0100
Subject: [PATCH 261/441] add find_segments_relative (#59)

* correction of repr when EddiesObservation is empty

* fix play_timeline and event_timeline to sync colors, and one plot for event

* add find_segments_relative
---
 CHANGELOG.rst                                 |   4 +
 examples/16_network/pet_relative.py           |  41 ++++
 src/py_eddy_tracker/observations/network.py   | 189 ++++++++++++++++--
 .../observations/observation.py               |  11 +-
 4 files changed, 225 insertions(+), 20 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 0b1a100c..dc599b80 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -17,6 +17,9 @@ Changed
 Fixed
 ^^^^^
 - Use `safe_load` for yaml load
+- repr of EddiesObservation when the collection is empty (time attribute empty array)
+- display_timeline and event_timeline can now use colors according to 'y' values.
+- event_timeline now plot all merging event in one plot, instead of one plot per merging. Same for splitting. (avoid bad legend)
 
 Added
 ^^^^^
@@ -28,6 +31,7 @@ Added
 - Save EddyAnim in mp4
 - Add method to get eddy contour which enclosed obs defined with (x,y) coordinates
 - Add **EddyNetworkSubSetter** to subset network which need special tool and operation after subset
+- Add functions to find relatives segments
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 4a57062a..affdf44b 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -3,7 +3,10 @@
 ==========================
 """
 
+import datetime
+
 from matplotlib import pyplot as plt
+from matplotlib.ticker import FuncFormatter
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import data
@@ -186,6 +189,44 @@
 ax.set_title(f"Close segments ({close_to_i3.infos()})")
 _ = close_to_i3.display_timeline(ax)
 
+# %%
+# Keep relatives to an event
+# --------------------------
+# When you want to investigate one particular event and select only the closest segments
+#
+# First choose an event in the network
+after, before, stopped = n.merging_event(triplet=True, only_index=True)
+i_event = 5
+# %%
+# then see some order of relatives
+@FuncFormatter
+def formatter(x, pos):
+    return (datetime.timedelta(x) + datetime.datetime(1950, 1, 1)).strftime("%d/%m/%Y")
+
+
+max_order = 2
+fig, axs = plt.subplots(
+    max_order + 2, 1, sharex=True, figsize=(15, 5 * (max_order + 2))
+)
+
+axs[0].set_title(f"full network", weight="bold")
+axs[0].xaxis.set_major_formatter(formatter), axs[0].grid()
+mappables = n.display_timeline(axs[0], colors_mode="y")
+axs[0].legend()
+
+for k in range(0, max_order + 1):
+
+    ax = axs[k + 1]
+    sub_network = n.find_segments_relative(after[i_event], stopped[i_event], order=k)
+
+    ax.set_title(f"relatives order={k}", weight="bold")
+    ax.xaxis.set_major_formatter(formatter), ax.grid()
+
+    mappables = sub_network.display_timeline(ax, colors_mode="y")
+    ax.legend()
+    _ = ax.set_ylim(axs[0].get_ylim())
+
+
 # %%
 # Display track on map
 # --------------------
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 8989c01f..486f454f 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,7 +6,18 @@
 from glob import glob
 
 from numba import njit
-from numpy import arange, array, bincount, empty, in1d, ones, uint32, unique, zeros
+from numpy import (
+    arange,
+    array,
+    bincount,
+    empty,
+    in1d,
+    ones,
+    uint32,
+    unique,
+    where,
+    zeros,
+)
 
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
@@ -71,6 +82,32 @@ def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self._index_network = None
 
+    def find_segments_relative(self, obs, stopped=None, order=1):
+        """
+        find all relative segments within an event from an order.
+
+        :param int obs: indice of event after the event
+        :param int stopped: indice of event before the event
+        :param int order: order of relatives accepted
+
+        :return: all segments relatives
+        :rtype: EddiesObservations
+        """
+
+        # extraction of network where the event is
+        network_id = self.tracks[obs]
+        nw = self.network(network_id)
+
+        # indice of observation in new subnetwork
+        i_obs = where(nw.segment == self.segment[obs])[0][0]
+
+        if stopped is None:
+            return nw.relatives(i_obs, order=order)
+
+        else:
+            i_stopped = where(nw.segment == self.segment[stopped])[0][0]
+            return nw.relatives([i_obs, i_stopped], order=order)
+
     @property
     def index_network(self):
         if self._index_network is None:
@@ -229,12 +266,38 @@ def segment_relative_order(self, seg_origine):
 
     def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=False):
         """
-        Extract the segments at a certain order.
+        Extract the segments at a certain order from one observation.
+
+        :param list obs: indice of observation for relative computation
+        :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
+
+        :return: all segments relatives
+        :rtype: EddiesObservations
         """
+
         d = self.segment_relative_order(self.segment[i_obs])
         m = (d <= order) * (d != -1)
         return self.extract_with_mask(m)
 
+    def relatives(self, obs, order=2, direct=True, only_past=False, only_future=False):
+        """
+        Extract the segments at a certain order from multiple observations.
+
+        :param list obs: indices of observation for relatives computation
+        :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
+
+        :return: all segments relatives
+        :rtype: EddiesObservations
+        """
+
+        mask = zeros(self.segment.shape, dtype=bool)
+
+        for i_obs in obs:
+            d = self.segment_relative_order(self.segment[i_obs])
+            mask += (d <= order) * (d != -1)
+
+        return self.extract_with_mask(mask)
+
     def numbering_segment(self):
         """
         New numbering of segment
@@ -278,7 +341,14 @@ def median_filter(self, half_window, xfield, yfield, inplace=True):
         return result
 
     def display_timeline(
-        self, ax, event=True, field=None, method=None, factor=1, **kwargs
+        self,
+        ax,
+        event=True,
+        field=None,
+        method=None,
+        factor=1,
+        colors_mode="roll",
+        **kwargs,
     ):
         """
         Plot a timeline of a network.
@@ -289,6 +359,7 @@ def display_timeline(
         :param str,array field: yaxis values, if None, segments are used
         :param str method: if None, mean values are used
         :param float factor: to multiply field
+        :param str colors_mode: color of lines. "roll" means looping through colors, "y" means color adapt the y values (for matching color plots)
         :return: plot mappable
         """
         self.only_one_network()
@@ -302,9 +373,16 @@ def display_timeline(
         )
         line_kw.update(kwargs)
         mappables = dict(lines=list())
+
         if event:
             mappables.update(
-                self.event_timeline(ax, field=field, method=method, factor=factor)
+                self.event_timeline(
+                    ax,
+                    field=field,
+                    method=method,
+                    factor=factor,
+                    colors_mode=colors_mode,
+                )
             )
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
@@ -317,14 +395,25 @@ def display_timeline(
                     y = self[field][i] * factor
                 else:
                     y = self[field][i].mean() * ones(x.shape) * factor
-            line = ax.plot(x, y, **line_kw, color=self.COLORS[j % self.NB_COLORS])[0]
+
+            if colors_mode == "roll":
+                _color = self.get_color(j)
+            elif colors_mode == "y":
+                _color = self.get_color(b0 - 1)
+            else:
+                raise NotImplementedError(f"colors_mode '{colors_mode}' not defined")
+
+            line = ax.plot(x, y, **line_kw, color=_color)[0]
             mappables["lines"].append(line)
             j += 1
 
         return mappables
 
-    def event_timeline(self, ax, field=None, method=None, factor=1):
+    def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="roll"):
+        """mark events in plot"""
         j = 0
+        events = dict(spliting=[], merging=[])
+
         # TODO : fill mappables dict
         y_seg = dict()
         if field is not None and method != "all":
@@ -337,7 +426,16 @@ def event_timeline(self, ax, field=None, method=None, factor=1):
             x = self.time[i]
             if x.shape[0] == 0:
                 continue
-            event_kw = dict(color=self.COLORS[j % self.NB_COLORS], ls="-", zorder=1)
+
+            if colors_mode == "roll":
+                _color = self.get_color(j)
+            elif colors_mode == "y":
+                _color = self.get_color(b0 - 1)
+            else:
+                raise NotImplementedError(f"colors_mode '{colors_mode}' not defined")
+
+            event_kw = dict(color=_color, ls="-", zorder=1)
+
             i_n, i_p = (
                 self.next_obs[i.stop - 1],
                 self.previous_obs[i.start],
@@ -361,7 +459,8 @@ def event_timeline(self, ax, field=None, method=None, factor=1):
                     )
                 )
                 ax.plot((x[-1], self.time[i_n]), (y0, y1), **event_kw)[0]
-                ax.plot(x[-1], y0, color="k", marker="H", markersize=10, zorder=-1)[0]
+                events["merging"].append((x[-1], y0))
+
             if i_p != -1:
                 seg_previous = self.segment[i_p]
                 if field is not None and method == "all":
@@ -376,8 +475,25 @@ def event_timeline(self, ax, field=None, method=None, factor=1):
                     )
                 )
                 ax.plot((x[0], self.time[i_p]), (y0, y1), **event_kw)[0]
-                ax.plot(x[0], y0, color="k", marker="*", markersize=12, zorder=-1)[0]
+                events["spliting"].append((x[0], y0))
+
             j += 1
+
+        kwargs = dict(color="k", zorder=-1, linestyle=" ")
+        if len(events["spliting"]) > 0:
+            X, Y = list(zip(*events["spliting"]))
+            ref = ax.plot(
+                X, Y, marker="*", markersize=12, label="spliting events", **kwargs
+            )[0]
+            mappables.setdefault("events", []).append(ref)
+
+        if len(events["merging"]) > 0:
+            X, Y = list(zip(*events["merging"]))
+            ref = ax.plot(
+                X, Y, marker="H", markersize=10, label="merging events", **kwargs
+            )[0]
+            mappables.setdefault("events", []).append(ref)
+
         return mappables
 
     def mean_by_segment(self, y, **kw):
@@ -404,15 +520,40 @@ def map_segment(self, method, y, same=True, **kw):
             out = array(out)
         return out
 
-    def map_network(self, method, y, same=True, **kw):
+    def map_network(self, method, y, same=True, return_dict=False, **kw):
+        """
+        transform data `y` with method `method` for each track.
+
+        :param Callable method: method to apply on each  tracks
+        :param np.array y: data where to apply method
+        :param bool same: if True, return array same size from y. else, return list with track edited
+        :param bool return_dict: if None, mean values are used
+        :param float kw: to multiply field
+        :return: array or dict of result from method for each network
+        """
+
+        if same and return_dict:
+            raise NotImplementedError(
+                "both condition 'same' and 'return_dict' should no be true"
+            )
+
         if same:
             out = empty(y.shape, **kw)
+
+        elif return_dict:
+            out = dict()
+
         else:
             out = list()
+
         for i, b0, b1 in self.iter_on(self.track):
             res = method(y[i])
             if same:
                 out[i] = res
+
+            elif return_dict:
+                out[b0] = res
+
             else:
                 if isinstance(i, slice):
                     if i.start == i.stop:
@@ -420,7 +561,8 @@ def map_network(self, method, y, same=True, **kw):
                 elif len(i) == 0:
                     continue
                 out.append(res)
-        if not same:
+
+        if not same and not return_dict:
             out = array(out)
         return out
 
@@ -588,7 +730,7 @@ def death_event(self):
                 indices.append(i.stop - 1)
         return self.extract_event(list(set(indices)))
 
-    def merging_event(self, triplet=False):
+    def merging_event(self, triplet=False, only_index=False):
         """Return observation after a merging event.
 
         If `triplet=True` return the eddy after a merging event, the eddy before the merging event,
@@ -611,13 +753,24 @@ def merging_event(self, triplet=False):
                 idx_m1.append(i_n)
 
         if triplet:
-            return (
-                self.extract_event(list(idx_m1)),
-                self.extract_event(list(idx_m0)),
-                self.extract_event(list(idx_m0_stop)),
-            )
+            if only_index:
+                return (
+                    idx_m1,
+                    idx_m0,
+                    idx_m0_stop,
+                )
+
+            else:
+                return (
+                    self.extract_event(idx_m1),
+                    self.extract_event(idx_m0),
+                    self.extract_event(idx_m0_stop),
+                )
         else:
-            return self.extract_event(list(set(idx_m1)))
+            if only_index:
+                return self.extract_event(set(idx_m1))
+            else:
+                return list(set(idx_m1))
 
     def spliting_event(self, triplet=False):
         """Return observation before a splitting event.
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 6920659e..3def4464 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -200,6 +200,10 @@ def __eq__(self, other):
             return False
         return array_equal(self.obs, other.obs)
 
+    ### colors methods
+    def get_color(self, i):
+        return self.COLORS[i % self.NB_COLORS]
+
     @property
     def sign_legend(self):
         return "Cyclonic" if self.sign_type != 1 else "Anticyclonic"
@@ -2120,13 +2124,16 @@ def interp_grid(
     @property
     def period(self):
         """
-        Give the time coverage
+        Give the time coverage. If collection is empty, return nan,nan
 
         :return: first and last date
         :rtype: (int,int)
         """
         if self.period_ is None:
-            self.period_ = self.time.min(), self.time.max()
+            if self.time.size < 1:
+                self.period_ = nan, nan
+            else:
+                self.period_ = self.time.min(), self.time.max()
         return self.period_
 
     @property

From faba22c273069ba1ed8f823649b83c518a672c11 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 Mar 2021 11:01:16 +0100
Subject: [PATCH 262/441] =?UTF-8?q?Add=20option=20to=20EddyQuickCompare=20?=
 =?UTF-8?q?to=20have=20information=20in=20Mkm=C2=B2?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 src/py_eddy_tracker/appli/eddies.py | 73 ++++++++++++++++++++---------
 1 file changed, 50 insertions(+), 23 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 603183d4..445145d4 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -399,25 +399,27 @@ def get_group(
     i1_multi = i1_[nb1 >= 2]
     i2_multi = i2_[nb2 >= 2]
     m_multi = in1d(i1, i1_multi) + in1d(i2, i2_multi)
-    group1["multi_match"] = unique(i1[m_multi])
-    group2["multi_match"] = unique(i2[m_multi])
 
     # Low scores
-    m_low = score <= low
+    m_low = score < low
     m_low *= ~m_multi
     group1["low"] = i1[m_low]
     group2["low"] = i2[m_low]
     # Intermediate scores
-    m_i = (score > low) * (score <= high)
+    m_i = (score >= low) * (score < high)
     m_i *= ~m_multi
     group1["intermediate"] = i1[m_i]
     group2["intermediate"] = i2[m_i]
     # High scores
-    m_high = score > high
+    m_high = score >= high
     m_high *= ~m_multi
     group1["high"] = i1[m_high]
     group2["high"] = i2[m_high]
 
+    # Here for a nice display order
+    group1["multi_match"] = unique(i1[m_multi])
+    group2["multi_match"] = unique(i2[m_multi])
+
     def get_twin(j2, j1):
         # True only if j1 is used only one
         m = bincount(j1)[j1] == 1
@@ -449,6 +451,11 @@ def quick_compare():
     )
     parser.add_argument("ref", help="Identification file of reference")
     parser.add_argument("others", nargs="+", help="Identifications files to compare")
+    parser.add_argument(
+        "--area",
+        action="store_true",
+        help="Display in percent of area instead percent of observation",
+    )
     parser.add_argument("--high", default=40, type=float)
     parser.add_argument("--low", default=20, type=float)
     parser.add_argument("--invalid", default=5, type=float)
@@ -461,6 +468,8 @@ def quick_compare():
             *EddiesObservations.intern(args.intern, public_label=True),
         ]
     )
+    if args.area:
+        kw["include_vars"].append("speed_area" if args.intern else "effective_area")
 
     ref = EddiesObservations.load_file(args.ref, **kw)
     print(f"[ref] {args.ref} -> {len(ref)} obs")
@@ -484,28 +493,46 @@ def display(value, ref=None):
         outs = list()
         for v in value:
             if ref:
-                outs.append(f"{v/ref * 100:.1f}% ({v})")
+                if args.area:
+                    outs.append(f"{v / ref * 100:.1f}% ({v:.1f}Mkm²)")
+                else:
+                    outs.append(f"{v/ref * 100:.1f}% ({v})")
             else:
                 outs.append(v)
-        return "".join([f"{v:^15}" for v in outs])
+        if args.area:
+            return "".join([f"{v:^16}" for v in outs])
+        else:
+            return "".join([f"{v:^15}" for v in outs])
 
-    keys = list(gr1.keys())
+    def get_values(v, dataset):
+        if args.area:
+            area = dataset["speed_area" if args.intern else "effective_area"]
+            return [area[v_].sum() / 1e12 for v_ in v.values()]
+        else:
+            return [
+                v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()
+            ]
+
+    labels = dict(
+        high=f"{args.high:0.0f} <= high",
+        low=f"{args.invalid:0.0f} <= low < {args.low:0.0f}",
+    )
+
+    keys = [labels.get(key, key) for key in gr1.keys()]
     print("     ", display(keys))
+    if args.area:
+        ref_ = ref["speed_area" if args.intern else "effective_area"].sum() / 1e12
+    else:
+        ref_ = len(ref)
     for i, v in enumerate(groups_ref.values()):
-        print(
-            f"[{i:2}] ",
-            display(
-                (v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()),
-                ref=len(ref),
-            ),
-        )
+        print(f"[{i:2}] ", display(get_values(v, ref), ref=ref_))
 
-    print(display(keys))
+    print("     Point of view of study dataset")
+    print("     ", display(keys))
     for i, (k, v) in enumerate(groups_other.items()):
-        print(
-            f"[{i:2}] ",
-            display(
-                (v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()),
-                ref=len(others[k]),
-            ),
-        )
+        other = others[k]
+        if args.area:
+            ref_ = other["speed_area" if args.intern else "effective_area"].sum() / 1e12
+        else:
+            ref_ = len(other)
+        print(f"[{i:2}] ", display(get_values(v, other), ref=ref_))

From 215fc9c17b2a579d3f5188bf5b4081181a1797d4 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 Mar 2021 11:03:47 +0100
Subject: [PATCH 263/441] Get close network in another atlas

---
 CHANGELOG.rst                                 |  4 ++-
 src/py_eddy_tracker/observations/network.py   | 29 ++++++++++++++++++-
 .../observations/observation.py               | 17 ++++++++++-
 src/py_eddy_tracker/observations/tracking.py  |  7 -----
 4 files changed, 47 insertions(+), 10 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index dc599b80..56f773e1 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -31,7 +31,9 @@ Added
 - Save EddyAnim in mp4
 - Add method to get eddy contour which enclosed obs defined with (x,y) coordinates
 - Add **EddyNetworkSubSetter** to subset network which need special tool and operation after subset
-- Add functions to find relatives segments
+- Network:
+    - Add method to find relatives segments
+    - Add method to get cloase network in an other atlas
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 486f454f..346bbf9f 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -10,6 +10,7 @@
     arange,
     array,
     bincount,
+    concatenate,
     empty,
     in1d,
     ones,
@@ -298,6 +299,30 @@ def relatives(self, obs, order=2, direct=True, only_past=False, only_future=Fals
 
         return self.extract_with_mask(mask)
 
+    def close_network(self, other, nb_obs_min=10, **kwargs):
+        """
+        Get close network from another atlas.
+
+        :param self other: Atlas to compare
+        :param int nb_obs_min: Minimal number of overlap for one trajectory
+        :param dict kwargs: keyword arguments for match function
+        :return: return other atlas reduce to common track with self
+
+        .. warning::
+            It could be a costly operation for huge dataset
+        """
+        p0, p1 = self.period
+        indexs = list()
+        for i_self, i_other, t0, t1 in self.align_on(other, bins=range(p0, p1 + 2)):
+            i, j, s = self.index(i_self).match(other.index(i_other), **kwargs)
+            indexs.append(other.re_reference_index(j, i_other))
+        indexs = concatenate(indexs)
+        tr, nb = unique(other.track[indexs], return_counts=True)
+        m = zeros(other.track.shape, dtype=bool)
+        for i in tr[nb >= nb_obs_min]:
+            m[other.network_slice(i)] = True
+        return other.extract_with_mask(m)
+
     def numbering_segment(self):
         """
         New numbering of segment
@@ -359,7 +384,9 @@ def display_timeline(
         :param str,array field: yaxis values, if None, segments are used
         :param str method: if None, mean values are used
         :param float factor: to multiply field
-        :param str colors_mode: color of lines. "roll" means looping through colors, "y" means color adapt the y values (for matching color plots)
+        :param str colors_mode:
+            color of lines. "roll" means looping through colors,
+            "y" means color adapt the y values (for matching color plots)
         :return: plot mappable
         """
         self.only_one_network()
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3def4464..7d2bad50 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -200,8 +200,8 @@ def __eq__(self, other):
             return False
         return array_equal(self.obs, other.obs)
 
-    ### colors methods
     def get_color(self, i):
+        """Return colors like a cyclic list"""
         return self.COLORS[i % self.NB_COLORS]
 
     @property
@@ -1076,6 +1076,21 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
         m = c >= cmin  # ajout >= pour garder la cmin dans la sélection
         return i[m], j[m], c[m]
 
+    @staticmethod
+    def re_reference_index(index, ref):
+        """
+        Shift index with ref
+
+        :param array,int index: local index to re ref
+        :param slice,array ref:
+            reference could be a slice in this case we juste add start to index
+            or could be indexs and in this case we need to translate
+        """
+        if isinstance(ref, slice):
+            return index + ref.start
+        else:
+            return ref[index]
+
     @classmethod
     def cost_function_common_area(cls, xy_in, xy_out, distance, intern=False):
         """How does it work on x bound ?
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 685b1427..f20d4250 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -516,13 +516,6 @@ def extract_with_mask(
                 new.track = id_translate[new.track]
         return new
 
-    @staticmethod
-    def re_reference_index(index, ref):
-        if isinstance(ref, slice):
-            return index + ref.start
-        else:
-            return ref[index]
-
     def shape_polygon(self, intern=False):
         """
         Get the polygon enclosing each trajectory.

From 9fc061f02f9409a1f096d59ffa2bd8febe694f4a Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 Mar 2021 11:13:22 +0100
Subject: [PATCH 264/441] Give acces at txt option in EddyAnim

---
 src/py_eddy_tracker/appli/gui.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index e9ff7f7a..a0b00468 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -263,6 +263,7 @@ def anim():
     parser.add_argument(
         "--field", default="time", help="Field use to color contour instead of time"
     )
+    parser.add_argument("--txt_field", default="track", help="Field use to text eddy")
     parser.add_argument(
         "--vmin", default=None, type=float, help="Inferior bound to color contour"
     )
@@ -271,7 +272,9 @@ def anim():
     )
     parser.add_argument("--mp4", help="Filename to save animation (mp4)")
     args = parser.parse_args()
-    variables = ["time", "track", "longitude", "latitude", args.field]
+    variables = list(
+        set(["time", "track", "longitude", "latitude", args.field, args.txt_field])
+    )
     variables.extend(TrackEddiesObservations.intern(args.intern, public_label=True))
 
     eddies = TrackEddiesObservations.load_file(
@@ -302,6 +305,7 @@ def anim():
         cmap=args.cmap,
         nb_step=args.keep_step,
         field_color=args.field,
+        field_txt=args.txt_field,
         range_color=(args.vmin, args.vmax),
         graphic_information=logger.getEffectiveLevel() == logging.DEBUG,
         **kw,

From 938e279cc51e1b8acc95bc341955f277ef4b6ad7 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 Mar 2021 14:18:14 +0100
Subject: [PATCH 265/441] method change to speed up close track research

---
 src/py_eddy_tracker/observations/network.py   |   2 +-
 .../observations/observation.py               | 102 +++++++++++++-----
 src/py_eddy_tracker/observations/tracking.py  |   2 +-
 3 files changed, 79 insertions(+), 27 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 346bbf9f..6bba78bf 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -314,7 +314,7 @@ def close_network(self, other, nb_obs_min=10, **kwargs):
         p0, p1 = self.period
         indexs = list()
         for i_self, i_other, t0, t1 in self.align_on(other, bins=range(p0, p1 + 2)):
-            i, j, s = self.index(i_self).match(other.index(i_other), **kwargs)
+            i, j, s = self.match(other, i_self=i_self, i_other=i_other, **kwargs)
             indexs.append(other.re_reference_index(j, i_other))
         indexs = concatenate(indexs)
         tr, nb = unique(other.track[indexs], return_counts=True)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7d2bad50..351952b5 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -488,8 +488,7 @@ def iter_on(self, xname, bins=None):
 
         :param str,array xname:
         :param array bins: bounds of each bin ,
-        :return: Group observations
-        :rtype: self.__class__
+        :return: index or mask, bound low, bound up
         """
         x = self[xname] if isinstance(xname, str) else xname
         d = x[1:] - x[:-1]
@@ -498,10 +497,18 @@ def iter_on(self, xname, bins=None):
         elif not isinstance(bins, ndarray):
             bins = array(bins)
         nb_bins = len(bins) - 1
-        i = numba_digitize(x, bins) - 1
+
         # Not monotonous
         if (d < 0).any():
+            # If bins cover a small part of value
+            test, translate, x = iter_mode_reduce(x, bins)
+            # convert value in bins number
+            i = numba_digitize(x, bins) - 1
+            # Order by bins
             i_sort = i.argsort()
+            # If in reduce mode we will translate i_sort in full array index
+            i_sort_ = translate[i_sort] if test else i_sort
+            # Bound for each bins in sorting view
             i0, i1, _ = build_index(i[i_sort])
             m = ~(i0 == i1)
             i0, i1 = i0[m], i1[m]
@@ -509,8 +516,9 @@ def iter_on(self, xname, bins=None):
                 i_bins = i[i_sort[i0_]]
                 if i_bins == -1 or i_bins == nb_bins:
                     continue
-                yield i_sort[i0_:i1_], bins[i_bins], bins[i_bins + 1]
+                yield i_sort_[i0_:i1_], bins[i_bins], bins[i_bins + 1]
         else:
+            i = numba_digitize(x, bins) - 1
             i0, i1, _ = build_index(i)
             m = ~(i0 == i1)
             i0, i1 = i0[m], i1[m]
@@ -522,10 +530,8 @@ def align_on(self, other, var_name="time", **kwargs):
         """
         Align the time indexes of two datasets.
         """
-        iter_self, iter_other = (
-            self.iter_on(var_name, **kwargs),
-            other.iter_on(var_name, **kwargs),
-        )
+        iter_self = self.iter_on(var_name, **kwargs)
+        iter_other = other.iter_on(var_name, **kwargs)
         indexs_other, b0_other, b1_other = iter_other.__next__()
         for indexs_self, b0_self, b1_self in iter_self:
             if b0_self > b0_other:
@@ -1038,10 +1044,23 @@ def intern(flag, public_label=False):
             labels = [VAR_DESCR[label]["nc_name"] for label in labels]
         return labels
 
-    def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
+    def match(
+        self,
+        other,
+        i_self=None,
+        i_other=None,
+        method="overlap",
+        intern=False,
+        cmin=0,
+        **kwargs,
+    ):
         """Return index and score computed on the effective contour.
 
         :param EddiesObservations other: Observations to compare
+        :param array[bool,int],None i_self:
+            Index or mask to subset observations, it could avoid to build a specific dataset.
+        :param array[bool,int],None i_other:
+            Index or mask to subset observations, it could avoid to build a specific dataset.
         :param str method:
             - "overlap": the score is computed with contours;
             - "circle": circles are computed and used for score (TODO)
@@ -1054,25 +1073,20 @@ def match(self, other, method="overlap", intern=False, cmin=0, **kwargs):
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.match
         """
-        # if method is "overlap" method will use contour to compute score,
-        # if method is "circle" method will apply a formula of circle overlap
         x_name, y_name = self.intern(intern)
+        if i_self is None:
+            i_self = slice(None)
+        if i_other is None:
+            i_other = slice(None)
         if method == "overlap":
-            i, j = bbox_intersection(
-                self[x_name], self[y_name], other[x_name], other[y_name]
-            )
-            c = vertice_overlap(
-                self[x_name][i],
-                self[y_name][i],
-                other[x_name][j],
-                other[y_name][j],
-                **kwargs,
-            )
+            x0, y0 = self[x_name][i_self], self[y_name][i_self]
+            x1, y1 = other[x_name][i_other], other[y_name][i_other]
+            i, j = bbox_intersection(x0, y0, x1, y1)
+            c = vertice_overlap(x0[i], y0[i], x1[j], y1[j], **kwargs)
         elif method == "close_center":
-            i, j, c = close_center(
-                self.latitude, self.longitude, other.latitude, other.longitude, **kwargs
-            )
-
+            x0, y0 = self.longitude[i_self], self.latitude[i_self]
+            x1, y1 = other.longitude[i_other], other.latitude[i_other]
+            i, j, c = close_center(x0, y0, x1, y1, **kwargs)
         m = c >= cmin  # ajout >= pour garder la cmin dans la sélection
         return i[m], j[m], c[m]
 
@@ -2438,3 +2452,41 @@ def numba_digitize(values, bins):
             continue
         out[i] = (v_ - bins[0]) / step + 1
     return out
+
+
+@njit(cache=True)
+def iter_mode_reduce(x, bins):
+    """
+    Test if we could use a reduce mode
+
+    :param array x: array to divide in group
+    :param array bins: array which defined bounds between each group
+    :return: If reduce mode, translator, and reduce x
+    """
+    nb = x.shape[0]
+    # If we use less than half value
+    limit = nb // 2
+    # low and up
+    x0, x1 = bins[0], bins[-1]
+    m = empty(nb, dtype=numba_types.bool_)
+    # To count number of value cover by bins
+    c = 0
+    for i in range(nb):
+        x_ = x[i]
+        test = (x_ >= x0) * (x_ <= x1)
+        m[i] = test
+        if test:
+            c += 1
+            # If number value exceed limit
+            if c > limit:
+                return False, empty(0, dtype=numba_types.int_), x
+    # Indices to be able to translate in full index array
+    indices = empty(c, dtype=numba_types.int_)
+    x_ = empty(c, dtype=x.dtype)
+    j = 0
+    for i in range(nb):
+        if m[i]:
+            indices[j] = i
+            x_[j] = x[i]
+            j += 1
+    return True, indices, x_
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index f20d4250..6a716622 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -570,7 +570,7 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
         p0, p1 = self.period
         indexs = list()
         for i_self, i_other, t0, t1 in self.align_on(other, bins=range(p0, p1 + 2)):
-            i, j, s = self.index(i_self).match(other.index(i_other), **kwargs)
+            i, j, s = self.match(other, i_self=i_self, i_other=i_other, **kwargs)
             indexs.append(other.re_reference_index(j, i_other))
         indexs = concatenate(indexs)
         tr, nb = unique(other.track[indexs], return_counts=True)

From 64b92c0f2cf1664bd37ba60de8b7e5c51220ceb4 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 Mar 2021 14:23:51 +0100
Subject: [PATCH 266/441] Could specify mask to be able to inactiv some
 particle

---
 src/py_eddy_tracker/dataset/grid.py | 22 ++++++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 96abbea7..c0c70325 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2369,6 +2369,7 @@ def advect(
         u_name,
         v_name,
         t_init,
+        mask_particule=None,
         nb_step=10,
         time_step=600,
         rk4=True,
@@ -2391,7 +2392,10 @@ def advect(
         t1 = t1 * 86400
         t = t_init * 86400
         advect_ = advect_t_rk4 if rk4 else advect_t
-        mp = isnan(x) + isnan(y)
+        if mask_particule is None:
+            mask_particule = isnan(x) + isnan(y)
+        else:
+            mask_particule += isnan(x) + isnan(y)
         while True:
             if (backward and t <= t1) or (not backward and t >= t1):
                 t0, u0, v0, m0 = t1, u1, v1, m1
@@ -2400,7 +2404,21 @@ def advect(
                 u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
             w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
             half_w = t_step / 2.0 / (t1 - t0)
-            advect_(d0.x_c, d0.y_c, u0, v0, m0, u1, v1, m1, x, y, mp, w, half_w=half_w)
+            advect_(
+                d0.x_c,
+                d0.y_c,
+                u0,
+                v0,
+                m0,
+                u1,
+                v1,
+                m1,
+                x,
+                y,
+                mask_particule,
+                w,
+                half_w=half_w,
+            )
             t += dt
             yield t, x, y
 

From 90537462e1c89ea207523e0b4c7ae4e49a19f99b Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 5 Mar 2021 09:30:04 +0100
Subject: [PATCH 267/441] update gui to allow more custom drawing

---
 src/py_eddy_tracker/appli/gui.py | 131 ++++++++++++++++++-------------
 1 file changed, 78 insertions(+), 53 deletions(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index a0b00468..d4d9d542 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -9,6 +9,7 @@
 
 from matplotlib import pyplot
 from matplotlib.animation import FuncAnimation
+from matplotlib.axes import Axes
 from matplotlib.collections import LineCollection
 from numpy import arange, where
 
@@ -36,6 +37,8 @@ def __init__(
         self.field_color = None
         self.field_txt = None
         self.time_field = False
+        self.txt = None
+        self.ax = None
         self.setup(**kwargs)
 
     def setup(
@@ -47,41 +50,55 @@ def setup(
         range_color=(None, None),
         nb_step=25,
         figsize=(8, 6),
+        position=(0.05, 0.05, 0.9, 0.9),
         **kwargs,
     ):
-        self.field_color = self.eddy[field_color].astype("f4")
-        self.field_txt = self.eddy[field_txt]
-        rg = range_color
-        if rg[0] is None and rg[1] is None and field_color == "time":
-            self.time_field = True
-        else:
-            rg = (
-                self.field_color.min() if rg[0] is None else rg[0],
-                self.field_color.max() if rg[1] is None else rg[1],
-            )
-            self.field_color = (self.field_color - rg[0]) / (rg[1] - rg[0])
-
-        self.colors = pyplot.get_cmap(cmap, lut=lut)
+        # To text each visible eddy
+        if field_txt:
+            self.field_txt = self.eddy[field_txt]
+        if field_color:
+            # To color each visible eddy
+            self.field_color = self.eddy[field_color].astype("f4")
+            rg = range_color
+            if rg[0] is None and rg[1] is None and field_color == "time":
+                self.time_field = True
+            else:
+                rg = (
+                    self.field_color.min() if rg[0] is None else rg[0],
+                    self.field_color.max() if rg[1] is None else rg[1],
+                )
+                self.field_color = (self.field_color - rg[0]) / (rg[1] - rg[0])
+            self.colors = pyplot.get_cmap(cmap, lut=lut)
         self.nb_step = nb_step
 
-        x_min, x_max = self.x_core.min() - 2, self.x_core.max() + 2
-        d_x = x_max - x_min
-        y_min, y_max = self.y_core.min() - 2, self.y_core.max() + 2
-        d_y = y_max - y_min
         # plot
-        self.fig = pyplot.figure(figsize=figsize, **kwargs)
+        if "figure" in kwargs:
+            self.fig = kwargs.pop("figure")
+        else:
+            self.fig = pyplot.figure(figsize=figsize, **kwargs)
         t0, t1 = self.period
         self.fig.suptitle(f"{t0} -> {t1}")
-        self.ax = self.fig.add_axes((0.05, 0.05, 0.9, 0.9), projection="full_axes")
-        self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
-        self.ax.set_aspect("equal")
-        self.ax.grid()
-        # init mappable
-        self.txt = self.ax.text(x_min + 0.05 * d_x, y_min + 0.05 * d_y, "", zorder=10)
+        if isinstance(position, Axes):
+            self.ax = position
+        else:
+            x_min, x_max = self.x_core.min() - 2, self.x_core.max() + 2
+            d_x = x_max - x_min
+            y_min, y_max = self.y_core.min() - 2, self.y_core.max() + 2
+            d_y = y_max - y_min
+            self.ax = self.fig.add_axes(position, projection="full_axes")
+            self.ax.set_xlim(x_min, x_max), self.ax.set_ylim(y_min, y_max)
+            self.ax.set_aspect("equal")
+            self.ax.grid()
+            self.txt = self.ax.text(
+                x_min + 0.05 * d_x, y_min + 0.05 * d_y, "", zorder=10
+            )
         self.segs = list()
         self.t_segs = list()
         self.c_segs = list()
-        self.contour = LineCollection([], zorder=1)
+        if field_color is None:
+            self.contour = LineCollection([], zorder=1, color="gray")
+        else:
+            self.contour = LineCollection([], zorder=1)
         self.ax.add_collection(self.contour)
 
         self.fig.canvas.draw()
@@ -148,29 +165,33 @@ def func_animation(self, frame):
 
     def update(self):
         m = self.t == self.now
+        color = self.field_color is not None
         if m.sum():
             segs = list()
             t = list()
             c = list()
             for i in where(m)[0]:
                 segs.append(create_vertice(self.x[i], self.y[i]))
-                c.append(self.field_color[i])
+                if color:
+                    c.append(self.field_color[i])
                 t.append(self.now)
             self.segs.append(segs)
-            self.c_segs.append(c)
+            if color:
+                self.c_segs.append(c)
             self.t_segs.append(t)
         self.contour.set_paths(chain(*self.segs))
-        if self.time_field:
-            self.contour.set_color(
-                self.colors(
-                    [
-                        (self.nb_step - self.now + i) / self.nb_step
-                        for i in chain(*self.c_segs)
-                    ]
+        if color:
+            if self.time_field:
+                self.contour.set_color(
+                    self.colors(
+                        [
+                            (self.nb_step - self.now + i) / self.nb_step
+                            for i in chain(*self.c_segs)
+                        ]
+                    )
                 )
-            )
-        else:
-            self.contour.set_color(self.colors(list(chain(*self.c_segs))))
+            else:
+                self.contour.set_color(self.colors(list(chain(*self.c_segs))))
         # linewidth will be link to time delay
         self.contour.set_lw(
             [
@@ -179,28 +200,32 @@ def update(self):
             ]
         )
         # Update date txt and info
-        txt = f"{(timedelta(int(self.now)) + datetime(1950,1,1)).strftime('%Y/%m/%d')}"
-        if self.graphic_informations:
-            txt += f"- {1/self.sleep_event:.0f} frame/s"
-        self.txt.set_text(txt)
+        if self.txt is not None:
+            txt = f"{(timedelta(int(self.now)) + datetime(1950,1,1)).strftime('%Y/%m/%d')}"
+            if self.graphic_informations:
+                txt += f"- {1/self.sleep_event:.0f} frame/s"
+            self.txt.set_text(txt)
+            self.ax.draw_artist(self.txt)
         # Update id txt
-        for i in where(m)[0]:
-            mappable = self.ax.text(
-                self.x_core[i],
-                self.y_core[i],
-                self.field_txt[i],
-                fontsize=12,
-                fontweight="demibold",
-            )
-            self.mappables.append(mappable)
-            self.ax.draw_artist(mappable)
+        if self.field_txt is not None:
+            for i in where(m)[0]:
+                mappable = self.ax.text(
+                    self.x_core[i],
+                    self.y_core[i],
+                    self.field_txt[i],
+                    fontsize=12,
+                    fontweight="demibold",
+                )
+                self.mappables.append(mappable)
+                self.ax.draw_artist(mappable)
         self.ax.draw_artist(self.contour)
-        self.ax.draw_artist(self.txt)
+
         # Remove first segment to keep only T contour
         if len(self.segs) > self.nb_step:
             self.segs.pop(0)
             self.t_segs.pop(0)
-            self.c_segs.pop(0)
+            if color:
+                self.c_segs.pop(0)
 
     def draw_contour(self):
         # select contour for this time step

From f50a9ae358b478e3716b510fb55b3d19dc375ab8 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 5 Mar 2021 09:31:55 +0100
Subject: [PATCH 268/441] Add method to a re numbering of network like segment

---
 src/py_eddy_tracker/observations/network.py     | 12 +++++++++---
 src/py_eddy_tracker/observations/observation.py |  8 ++++----
 2 files changed, 13 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 6bba78bf..dd6e9857 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -323,13 +323,19 @@ def close_network(self, other, nb_obs_min=10, **kwargs):
             m[other.network_slice(i)] = True
         return other.extract_with_mask(m)
 
-    def numbering_segment(self):
+    def numbering_segment(self, start=0):
         """
         New numbering of segment
         """
         for i, _, _ in self.iter_on("track"):
             new_numbering(self.segment[i])
 
+    def numbering_network(self, start=1):
+        """
+        New numbering of network
+        """
+        new_numbering(self.track, start)
+
     def only_one_network(self):
         """
         Raise a warning or error?
@@ -1169,10 +1175,10 @@ def build_unique_array(id1, id2):
 
 
 @njit(cache=True)
-def new_numbering(segs):
+def new_numbering(segs, start=0):
     nb = len(segs)
     s0 = segs[0]
-    j = 0
+    j = start
     for i in range(nb):
         if segs[i] != s0:
             s0 = segs[i]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 351952b5..d1edf4b0 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -777,10 +777,10 @@ def copy_data_to_zarr(
         :param zarr_dataset handler_zarr:
         :param array handler_eddies:
         :param slice zarr_dataset sl_obs:
-        :param int zarr_dataset buffer_size:
-        :param float zarr_dataset factor:
-        :param bool zarr_dataset raw_data:
-        :param None,float zarr_dataset scale_factor:
+        :param int buffer_size:
+        :param float factor:
+        :param bool raw_data:
+        :param None,float scale_factor:
         :param None,float add_offset:
         """
         i_start, i_stop = sl_obs.start, sl_obs.stop

From b7aa15ee75ee5f28495afac42b8b6288799d2ce0 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 5 Mar 2021 19:26:29 +0100
Subject: [PATCH 269/441] Change to get remote data for network example

---
 examples/16_network/pet_ioannou_2017_case.py  |  21 +-
 examples/16_network/pet_relative.py           |   1 -
 .../16_network/pet_ioannou_2017_case.ipynb    | 274 ++++++++++++++++++
 src/py_eddy_tracker/data/__init__.py          |  20 +-
 src/py_eddy_tracker/observations/network.py   |  20 +-
 .../observations/observation.py               |   4 +-
 6 files changed, 313 insertions(+), 27 deletions(-)
 create mode 100644 notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb

diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index ff72c22a..6ff0b173 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -8,6 +8,8 @@
 # %%
 # We want to find the Ierapetra Eddy described above in the networks
 
+import re
+
 # %%
 from datetime import datetime, timedelta
 
@@ -19,7 +21,7 @@
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_remote_sample
 from py_eddy_tracker.observations.network import NetworkObservations
 
 
@@ -27,7 +29,10 @@
 class VideoAnimation(FuncAnimation):
     def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
-        return self.to_html5_video()
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
@@ -72,7 +77,11 @@ def update_axes(ax, mappable=None):
 # We know the position and the time of a specific eddy
 #
 # `n.extract_with_mask` give us the corresponding network
-n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
+n = NetworkObservations.load_file(
+    get_remote_sample(
+        "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
+    )
+)
 i = np.where(
     (n.lat > 33)
     * (n.lat < 34)
@@ -85,9 +94,9 @@ def update_axes(ax, mappable=None):
 print(ioannou_case.infos())
 
 # %%
-# It seems that this network is huge! Our case is in purple...
+# It seems that this network is huge! Our case is visible at 22E 33.5N
 ax = start_axes()
-ioannou_case.plot(ax)
+ioannou_case.plot(ax, color_cycle=ioannou_case.COLORS)
 update_axes(ax)
 
 # %%
@@ -127,7 +136,7 @@ def update_axes(ax, mappable=None):
     figsize=(12, 4),
     cmap=cmap,
     nb_step=7,
-    dpi=55,
+    dpi=80,
     field_color="segment",
     field_txt="segment",
 )
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index affdf44b..f18d79a0 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -215,7 +215,6 @@ def formatter(x, pos):
 axs[0].legend()
 
 for k in range(0, max_order + 1):
-
     ax = axs[k + 1]
     sub_network = n.find_segments_relative(after[i_event], stopped[i_event], order=k)
 
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
new file mode 100644
index 00000000..9855fc85
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -0,0 +1,274 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Ioannou case\nFigure 10 from https://doi.org/10.1002/2017JC013158\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We want to find the Ierapetra Eddy described above in the networks\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime, timedelta\n\nimport numpy as np\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    ax.update_env()\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We know the position and the time of a specific eddy\n\n`n.extract_with_mask` give us the corresponding network\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\ni = np.where(\n    (n.lat > 33)\n    * (n.lat < 34)\n    * (n.lon > 22)\n    * (n.lon < 23)\n    * (n.time > 20630)\n    * (n.time < 20650)\n)[0][0]\nioannou_case = n.extract_with_mask(n.track == n.track[i])\nprint(ioannou_case.infos())"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "It seems that this network is huge! Our case is visible at 22E 33.5N\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes()\nioannou_case.plot(ax, color_cycle=ioannou_case.COLORS)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Full Timeline\nThe network span for many years... How to cut the interesting part?\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.05, 0.92, 0.92])\nax.xaxis.set_major_formatter(formatter), ax.grid()\n_ = ioannou_case.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Sub network and new numbering\nHere we chose to keep only the order 3 segments relatives to our chosen eddy\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i = np.where(\n    (ioannou_case.lat > 33)\n    * (ioannou_case.lat < 34)\n    * (ioannou_case.lon > 22)\n    * (ioannou_case.lon < 23)\n    * (ioannou_case.time > 20630)\n    * (ioannou_case.time < 20650)\n)[0][0]\nclose_to_i3 = ioannou_case.relative(i, order=3)\nclose_to_i3.numbering_segment()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anim\nQuick movie to see better!\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "cmap = colors.ListedColormap(\n    list(close_to_i3.COLORS), name=\"from_list\", N=close_to_i3.segment.max()\n)\na = Anim(\n    close_to_i3,\n    figsize=(12, 4),\n    cmap=cmap,\n    nb_step=7,\n    dpi=80,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n)\na.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)\na.ax.update_env()\na.txt.set_position((21.5, 32.7))\nkwargs = dict(frames=np.arange(*a.period), interval=100)\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Classic display\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\n_ = close_to_i3.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\nn_copy = close_to_i3.copy()\nn_copy.position_filter(2, 4)\nn_copy.plot(ax, color_cycle=n_copy.COLORS)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Latitude Timeline\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes(f\"Close segments ({close_to_i3.infos()})\")\nn_copy = close_to_i3.copy()\nn_copy.median_filter(15, \"time\", \"latitude\")\n_ = n_copy.display_timeline(ax, field=\"lat\", method=\"all\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Local radius timeline\nEffective (bold) and Speed (thin) Radius together\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n_copy.median_filter(2, \"time\", \"radius_e\")\nn_copy.median_filter(2, \"time\", \"radius_s\")\nfor b0, b1 in [\n    (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007)\n]:\n    ref, delta = datetime(1950, 1, 1), 20\n    b0_, b1_ = (b0 - ref).days, (b1 - ref).days\n    ax = timeline_axes()\n    ax.set_xlim(b0_ - delta, b1_ + delta)\n    ax.set_ylim(10, 115)\n    ax.axvline(b0_, color=\"k\", lw=1.5, ls=\"--\"), ax.axvline(\n        b1_, color=\"k\", lw=1.5, ls=\"--\"\n    )\n    n_copy.display_timeline(\n        ax, field=\"radius_e\", method=\"all\", lw=4, markersize=8, factor=1e-3\n    )\n    n_copy.display_timeline(\n        ax, field=\"radius_s\", method=\"all\", lw=1, markersize=3, factor=1e-3\n    )"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Parameters timeline\nEffective Radius\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw = dict(s=35, cmap=plt.get_cmap(\"Spectral_r\", 8), zorder=10)\nax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, \"radius_e\", factor=1e-3, vmin=20, vmax=100, **kw)\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective radius (km)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Shape error\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, \"shape_error_e\", vmin=14, vmax=70, **kw)\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective shape error\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 644cf95d..59df8a0f 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -21,13 +21,21 @@ def get_path(name):
 
 
 def get_remote_sample(path):
-    url = (
-        f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
-    )
+    if path.startswith("/") or path.startswith("."):
+        content = open(path, "rb").read()
+        if path.endswith(".nc"):
+            return io.BytesIO(content)
+    else:
+        if path.endswith(".nc"):
+            content = requests.get(
+                f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}"
+            ).content
+            return io.BytesIO(content)
+        content = requests.get(
+            f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
+        ).content
 
-    content = requests.get(url).content
-
-    # Tar module could manage lzma tar, but it will apply un compress for each extractfile
+    # Tar module could manage lzma tar, but it will apply uncompress for each extractfile
     tar = tarfile.open(mode="r", fileobj=io.BytesIO(lzma.decompress(content)))
     # tar = tarfile.open(mode="r:xz", fileobj=io.BytesIO(content))
     files_content = list()
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index dd6e9857..72f86d4b 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -787,12 +787,7 @@ def merging_event(self, triplet=False, only_index=False):
 
         if triplet:
             if only_index:
-                return (
-                    idx_m1,
-                    idx_m0,
-                    idx_m0_stop,
-                )
-
+                return (idx_m1, idx_m0, idx_m0_stop)
             else:
                 return (
                     self.extract_event(idx_m1),
@@ -800,10 +795,11 @@ def merging_event(self, triplet=False, only_index=False):
                     self.extract_event(idx_m0_stop),
                 )
         else:
+            idx_m1 = list(set(idx_m1))
             if only_index:
-                return self.extract_event(set(idx_m1))
+                return idx_m1
             else:
-                return list(set(idx_m1))
+                return self.extract_event(idx_m1)
 
     def spliting_event(self, triplet=False):
         """Return observation before a splitting event.
@@ -1107,9 +1103,9 @@ def group_observations(self, **kwargs):
         )
         return gr
 
-    def build_dataset(self, group):
+    def build_dataset(self, group, raw_data=True):
         nb_obs = group.shape[0]
-        model = TrackEddiesObservations.load_file(self.filenames[-1], raw_data=True)
+        model = TrackEddiesObservations.load_file(self.filenames[-1], raw_data=raw_data)
         eddies = TrackEddiesObservations.new_like(model, nb_obs)
         eddies.sign_type = model.sign_type
         # Get new index to re-order observation by group
@@ -1124,9 +1120,9 @@ def build_dataset(self, group):
             if self.memory:
                 # Only if netcdf
                 with open(filename, "rb") as h:
-                    e = TrackEddiesObservations.load_file(h, raw_data=True)
+                    e = TrackEddiesObservations.load_file(h, raw_data=raw_data)
             else:
-                e = TrackEddiesObservations.load_file(filename, raw_data=True)
+                e = TrackEddiesObservations.load_file(filename, raw_data=raw_data)
             stop = i + len(e)
             sl = slice(i, stop)
             for element in elements:
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d1edf4b0..ab60cf7f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -4,7 +4,7 @@
 """
 import logging
 from datetime import datetime
-from io import BufferedReader
+from io import BufferedReader, BytesIO
 from tarfile import ExFileObject
 from tokenize import TokenError
 
@@ -825,7 +825,7 @@ def load_from_netcdf(
         array_dim = "NbSample"
         if isinstance(filename, bytes):
             filename = filename.astype(str)
-        if isinstance(filename, (ExFileObject, BufferedReader)):
+        if isinstance(filename, (ExFileObject, BufferedReader, BytesIO)):
             filename.seek(0)
             args, kwargs = ("in-mem-file",), dict(memory=filename.read())
         else:

From f9c3061ec4b0ed1544de6dd77efad90bb3e5028d Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 5 Mar 2021 19:26:50 +0100
Subject: [PATCH 270/441] Allow to change more paremeter in GUI

---
 src/py_eddy_tracker/appli/gui.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index d4d9d542..6e989f31 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -39,6 +39,7 @@ def __init__(
         self.time_field = False
         self.txt = None
         self.ax = None
+        self.kw_label = dict()
         self.setup(**kwargs)
 
     def setup(
@@ -53,6 +54,8 @@ def setup(
         position=(0.05, 0.05, 0.9, 0.9),
         **kwargs,
     ):
+        self.kw_label["fontsize"] = kwargs.pop("fontsize", 12)
+        self.kw_label["fontweight"] = kwargs.pop("fontweight", "demibold")
         # To text each visible eddy
         if field_txt:
             self.field_txt = self.eddy[field_txt]
@@ -210,11 +213,7 @@ def update(self):
         if self.field_txt is not None:
             for i in where(m)[0]:
                 mappable = self.ax.text(
-                    self.x_core[i],
-                    self.y_core[i],
-                    self.field_txt[i],
-                    fontsize=12,
-                    fontweight="demibold",
+                    self.x_core[i], self.y_core[i], self.field_txt[i], **self.kw_label
                 )
                 self.mappables.append(mappable)
                 self.ax.draw_artist(mappable)

From ed41832b762eb06333e0bb88a52f387f0237bb36 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 9 Mar 2021 09:15:33 +0100
Subject: [PATCH 271/441] reduce vertices in case of point duplication

---
 src/py_eddy_tracker/observations/observation.py | 2 +-
 src/py_eddy_tracker/poly.py                     | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ab60cf7f..8a3e5588 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2221,6 +2221,7 @@ def grid_count_pixel_in(
     for i_ in range(nb):
         x_, y_, x_ref_ = x[i_], y[i_], x_ref[i_]
         x_ = (x_ - x_ref_) % 360 + x_ref_
+        x_, y_ = reduce_size(x_, y_)
         v = create_vertice(x_, y_)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
             v,
@@ -2232,7 +2233,6 @@ def grid_count_pixel_in(
             is_circular,
             x_size,
         )
-
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
         grid_count_(grid, i, j)
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 7790b3ec..4a6d11e5 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -209,6 +209,7 @@ def winding_number_poly(x, y, xy_poly):
     # loop through all edges of the polygon
     for i_elt in range(nb_elt):
         if i_elt + 1 == nb_elt:
+            # We close polygon with first value (no need to duplicate first value)
             x_next = xy_poly[0, 0]
             y_next = xy_poly[0, 1]
         else:

From f5c0f0bdddfef7202e4cbd31187aa3aced4dfc1c Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Tue, 9 Mar 2021 18:15:41 +0100
Subject: [PATCH 272/441] changes in netcdf variables attributes (#62)

* minor changes in netcdf variables attributes

* change longname in long_name
---
 src/py_eddy_tracker/__init__.py | 45 ++++++++++++++++-----------------
 1 file changed, 22 insertions(+), 23 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index a4e0d8d6..8e93c7aa 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -132,7 +132,7 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(
             long_name="Rotating sense of the eddy",
-            comment="Cyclonic -1; Anti-cyclonic +1",
+            comment="Cyclonic -1; Anticyclonic +1",
         ),
     ),
     segment_size=dict(
@@ -197,7 +197,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             units="degrees_east",
             axis="X",
-            comment="Longitude center of the fit circle",
+            comment="Longitude center of the best fit circle",
             long_name="Eddy Center Longitude",
             standard_name="longitude",
         ),
@@ -214,7 +214,7 @@ def parse_args(self, *args, **kwargs):
             axis="Y",
             long_name="Eddy Center Latitude",
             standard_name="latitude",
-            comment="Latitude center of the fit circle",
+            comment="Latitude center of the best fit circle",
         ),
     ),
     lon_max=dict(
@@ -268,7 +268,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Speed area",
             units="m^2",
-            comment="Area enclosed by speed contour in m^2",
+            comment="Area enclosed by the speed contour in m^2",
         ),
     ),
     effective_area=dict(
@@ -279,7 +279,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Effective area",
             units="m^2",
-            comment="Area enclosed by effective contour in m^2",
+            comment="Area enclosed by the effective contour in m^2",
         ),
     ),
     speed_average=dict(
@@ -307,7 +307,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Radial Speed Profile",
             units="m/s",
-            comment="Speed average values from effective contour inwards to smallest contour, evenly spaced points",
+            comment="Speed averaged values from the effective contour inwards to the smallest contour, evenly spaced points",
         ),
     ),
     i=dict(
@@ -346,7 +346,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Effective Radius",
             units="m",
-            comment="Radius of a circle whose area is equal to that enclosed by the effective contour",
+            comment="Radius of the best fit circle corresponding to the effective contour",
         ),
     ),
     radius_s=dict(
@@ -360,8 +360,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="Speed Radius",
             units="m",
-            comment="Radius of a circle whose area is equal to that "
-            "enclosed by the contour of maximum circum-average speed",
+            comment="Radius of the best fit circle corresponding to the contour of maximum circum-average speed",
         ),
     ),
     track=dict(
@@ -389,8 +388,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="int32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Previous obs index",
-            comment="Index of previous obs, if there are a spliting",
+            long_name="Previous observation index",
+            comment="Index of previous observation in a spliting case",
         ),
     ),
     next_obs=dict(
@@ -399,8 +398,8 @@ def parse_args(self, *args, **kwargs):
         nc_type="int32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Next obs index",
-            comment="Index of next obs, if there are a merging",
+            long_name="Next observation index",
+            comment="Index of next observation in a merging case",
         ),
     ),
     previous_cost=dict(
@@ -409,7 +408,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="float32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Previous cost for previous obs",
+            long_name="Previous cost for previous observation",
             comment="",
         ),
     ),
@@ -419,7 +418,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="float32",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Next cost for next obs",
+            long_name="Next cost for next observation",
             comment="",
         ),
     ),
@@ -473,9 +472,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="u2",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="number of point for effective contour",
+            long_name="number of points for effective contour",
             units="ordinal",
-            description="Number of point for effective contour, if greater than NbSample, there is a resampling",
+            description="Number of point for effective contour before resampling",
         ),
     ),
     contour_lon_s=dict(
@@ -517,9 +516,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="u2",
         nc_dims=("obs",),
         nc_attr=dict(
-            longname="number of point for speed contour",
+            long_name="number of point for speed contour",
             units="ordinal",
-            description="Number of point for speed contour, if greater than NbSample, there is a resampling",
+            description="Number of point for speed contour before resampling",
         ),
     ),
     shape_error_e=dict(
@@ -532,8 +531,8 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(
             units="%",
-            comment="Error criterion between the effective contour and its fit with the circle of same effective radius",
-            long_name="Effective Contour Error",
+            comment="Error criterion between the effective contour and its best fit circle",
+            long_name="Effective Contour Shape Error",
         ),
     ),
     score=dict(
@@ -566,8 +565,8 @@ def parse_args(self, *args, **kwargs):
         nc_dims=("obs",),
         nc_attr=dict(
             units="%",
-            comment="Error criterion between the speed contour and its fit with the circle of same speed radius",
-            long_name="Speed Contour Error",
+            comment="Error criterion between the speed contour and its best fit circle",
+            long_name="Speed Contour Shape Error",
         ),
     ),
     height_max_speed_contour=dict(

From 4c5584288209ee87d978c51024449b8b1a5e04de Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 9 Mar 2021 18:17:39 +0100
Subject: [PATCH 273/441] Add option to quick compare to compare with area or
 with another cost function

---
 src/py_eddy_tracker/appli/eddies.py | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 445145d4..818e825f 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -451,16 +451,20 @@ def quick_compare():
     )
     parser.add_argument("ref", help="Identification file of reference")
     parser.add_argument("others", nargs="+", help="Identifications files to compare")
-    parser.add_argument(
-        "--area",
-        action="store_true",
-        help="Display in percent of area instead percent of observation",
-    )
+    help = "Display in percent of area instead percent of observation"
+    parser.add_argument("--area", action="store_true", help=help)
+    help = "Use minimal cost function"
+    parser.add_argument("--minimal_area", action="store_true", help=help)
     parser.add_argument("--high", default=40, type=float)
     parser.add_argument("--low", default=20, type=float)
     parser.add_argument("--invalid", default=5, type=float)
+    parser.add_argument(
+        "--path_out", default=None, help="Save each group in separate file"
+    )
     parser.contour_intern_arg()
     args = parser.parse_args()
+    if args.path_out is not None and not exists(args.path_out):
+        mkdir(args.path_out)
 
     kw = dict(
         include_vars=[
@@ -481,7 +485,7 @@ def quick_compare():
         gr1, gr2 = get_group(
             ref,
             other,
-            *ref.match(other, intern=args.intern),
+            *ref.match(other, intern=args.intern, minimal_area=args.minimal_area),
             invalid=args.invalid,
             low=args.low,
             high=args.high,

From 30a311080deb5c000deeaaba80d2cd09f6ae4165 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 9 Mar 2021 18:19:34 +0100
Subject: [PATCH 274/441] Give access at several options for EddyId

---
 src/py_eddy_tracker/appli/grid.py | 25 ++++++++++++++-----------
 1 file changed, 14 insertions(+), 11 deletions(-)

diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 7faac7ec..7f2b9610 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -87,12 +87,8 @@ def eddy_id(args=None):
     parser.add_argument("--height_unit", default=None, help="Force height unit")
     parser.add_argument("--speed_unit", default=None, help="Force speed unit")
     parser.add_argument("--unregular", action="store_true", help="if grid is unregular")
-    parser.add_argument(
-        "--sampling",
-        default=50,
-        type=int,
-        help="Array size used to build contour, first and last point will be the same",
-    )
+    help = "Array size used to build contour, first and last point will be the same"
+    parser.add_argument("--sampling", default=50, type=int, help=help)
     parser.add_argument(
         "--sampling_method",
         default="visvalingam",
@@ -103,14 +99,20 @@ def eddy_id(args=None):
     help = "Output will be wrote in zarr"
     parser.add_argument("--zarr", action="store_true", help=help)
     help = "Indexs to select grid : --indexs time=2, will select third step along time dimensions"
+    parser.add_argument("--indexs", nargs="*", help=help, action=DictAction)
+    help = "Number of pixel of grid detection which could be in an eddies, you must specify MIN and MAX."
     parser.add_argument(
-        "--indexs",
-        nargs="*",
-        help=help,
-        action=DictAction,
+        "--pixel_limit", nargs="+", default=(5, 2000), type=int, help=help
     )
+    help = "Minimal number of amplitude in number of step"
+    parser.add_argument("--nb_step_min", default=2, type=int, help=help)
     args = parser.parse_args(args) if args else parser.parse_args()
 
+    if len(args.pixel_limit) != 2:
+        raise Exception(
+            "You must define two value minimal number of pixel and maximal number of pixel"
+        )
+
     cut_wavelength = args.cut_wavelength
     nb_cw = len(cut_wavelength)
     if nb_cw > 2 or nb_cw == 0:
@@ -123,10 +125,11 @@ def eddy_id(args=None):
     kwargs = dict(
         step=args.isoline_step,
         shape_error=args.fit_errmax,
-        pixel_limit=(5, 2000),
+        pixel_limit=args.pixel_limit,
         force_height_unit=args.height_unit,
         force_speed_unit=args.speed_unit,
         nb_step_to_be_mle=0,
+        nb_step_min=args.nb_step_min,
     )
 
     a, c = identification(

From fe3b0bf861a2f965237fa07f19805462946fb6a1 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 09:10:14 +0100
Subject: [PATCH 275/441] In case of contour filled with fake value

---
 TODOLIST.md                 | 0
 src/py_eddy_tracker/poly.py | 2 ++
 2 files changed, 2 insertions(+)
 create mode 100644 TODOLIST.md

diff --git a/TODOLIST.md b/TODOLIST.md
new file mode 100644
index 00000000..e69de29b
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 4a6d11e5..64eb50f8 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -785,4 +785,6 @@ def reduce_size(x, y):
         i -= 1
         if x[i] != x0 or y[i] != y0:
             i += 1
+            # In case of virtual obs all value could be fill with same value, to avoid empty array
+            i = max(3, i)
             return x[:i], y[:i]

From 1b2207a1417ce3ace7edc4e94feaf285ba6863a4 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 11:23:30 +0100
Subject: [PATCH 276/441] add time sub sampling on atlas

---
 src/py_eddy_tracker/observations/observation.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 8a3e5588..c2513e57 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1653,6 +1653,16 @@ def extract_with_area(self, area, **kwargs):
         mask *= (lon > lon0) * (lon < area["urcrnrlon"])
         return self.extract_with_mask(mask, **kwargs)
 
+    def time_sub_sample(self, t0, time_step):
+        """
+        Time sub sampling
+
+        :param int,float t0: reference time which will be keep
+        :param int,float time_step: keep every observation spaced by time_step
+        """
+        mask = (self.time - t0) % time_step == 0
+        return self.extract_with_mask(mask)
+
     def extract_with_mask(self, mask):
         """
         Extract a subset of observations.

From 58d8f02259b1bd0f9bce733d41d4cc9ea50e01f2 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 14:20:40 +0100
Subject: [PATCH 277/441] Add time cube example with FSLE

---
 CHANGELOG.rst                                 |   1 +
 examples/07_cube_manipulation/README.rst      |   6 +
 examples/07_cube_manipulation/pet_fsle_med.py | 152 ++++++++++++++++++
 .../07_cube_manipulation/pet_fsle_med.ipynb   | 144 +++++++++++++++++
 4 files changed, 303 insertions(+)
 create mode 100644 examples/07_cube_manipulation/README.rst
 create mode 100644 examples/07_cube_manipulation/pet_fsle_med.py
 create mode 100644 notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 56f773e1..b974e3bd 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -34,6 +34,7 @@ Added
 - Network:
     - Add method to find relatives segments
     - Add method to get cloase network in an other atlas
+- Management of time cube data for advection
 
 [3.3.0] - 2020-12-03
 --------------------
diff --git a/examples/07_cube_manipulation/README.rst b/examples/07_cube_manipulation/README.rst
new file mode 100644
index 00000000..147ce3f3
--- /dev/null
+++ b/examples/07_cube_manipulation/README.rst
@@ -0,0 +1,6 @@
+Time grid computation
+=====================
+
+.. warning::
+
+    Time grid is under development, API could move quickly!
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
new file mode 100644
index 00000000..3a8e7dcc
--- /dev/null
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -0,0 +1,152 @@
+"""
+FSLE experiment in med
+======================
+
+Example to build FSLE, parameter values must be adapted for your case.
+
+Example use a method similar to `AVISO flse`_
+
+.. _AVISO flse:
+    https://www.aviso.altimetry.fr/en/data/products/value-added-products/
+    fsle-finite-size-lyapunov-exponents/fsle-description.html
+
+"""
+
+from matplotlib import pyplot as plt
+from numba import njit
+from numpy import arange, empty, isnan, log2, ma, meshgrid, zeros
+
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset
+
+start_logger().setLevel("ERROR")
+
+
+# %%
+# ADT in med
+# ---------------------
+c = GridCollection.from_netcdf_cube(
+    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    "longitude",
+    "latitude",
+    "time",
+    heigth="adt",
+)
+
+
+# %%
+# Methods to compute fsle
+# -----------------------
+@njit(cache=True, fastmath=True)
+def check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):
+    """
+    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`
+    """
+    nb_p = x.shape[0] // 3
+    delta = dist_max ** 2
+    for i in range(nb_p):
+        i0 = i * 3
+        i_n = i0 + 1
+        i_e = i0 + 2
+        # If particle already set, we skip
+        if m[i0] or m[i_n] or m[i_e]:
+            continue
+        # Distance with north
+        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]
+        dn = dxn ** 2 + dyn ** 2
+        # Distance with east
+        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]
+        de = dxe ** 2 + dye ** 2
+
+        if dn >= delta or de >= delta:
+            s1 = dxe ** 2 + dxn ** 2 + dye ** 2 + dyn ** 2
+            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (
+                (dxn - dye) ** 2 + (dxe + dyn) ** 2
+            )
+            g[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
+            m[i0], m[i_n], m[i_e] = True, True, True
+
+
+@njit(cache=True)
+def build_triplet(x, y, step=0.02):
+    """
+    Triplet building for each position we add east and north point with defined step
+    """
+    nb_x = x.shape[0]
+    x_ = empty(nb_x * 3, dtype=x.dtype)
+    y_ = empty(nb_x * 3, dtype=y.dtype)
+    for i in range(nb_x):
+        i0 = i * 3
+        i_n, i_e = i0 + 1, i0 + 2
+        x__, y__ = x[i], y[i]
+        x_[i0], y_[i0] = x__, y__
+        x_[i_n], y_[i_n] = x__, y__ + step
+        x_[i_e], y_[i_e] = x__ + step, y__
+    return x_, y_
+
+
+# %%
+# Particles
+# ---------
+step = 0.02
+t0 = 20268
+x0_, y0_ = -5, 30
+lon_p, lat_p = arange(x0_, x0_ + 43, step), arange(y0_, y0_ + 16, step)
+x0, y0 = meshgrid(lon_p, lat_p)
+grid_shape = x0.shape
+x0, y0 = x0.reshape(-1), y0.reshape(-1)
+# Identify all particle not on land
+m = ~isnan(c[t0].interp("adt", x0, y0))
+x0, y0 = x0[m], y0[m]
+
+# %%
+# FSLE
+# ----
+time_step_by_days = 5
+# Array to compute fsle
+fsle = zeros(x0.shape[0], dtype="f4")
+x, y = build_triplet(x0, y0)
+used = zeros(x.shape[0], dtype="bool")
+
+# advection generator
+kw = dict(t_init=t0, nb_step=1, backward=True, mask_particule=used)
+p = c.advect(x, y, "u", "v", time_step=86400 / time_step_by_days, **kw)
+
+nb_days = 85
+# We check at each step of advection if particle distance is over `dist_max`
+for i in range(time_step_by_days * nb_days):
+    t, xt, yt = p.__next__()
+    dt = t / 86400.0 - t0
+    check_p(xt, yt, fsle, used, dt, dist_max=0.2, dist_init=step)
+
+# Get index with original_position
+i = ((x0 - x0_) / step).astype("i4")
+j = ((y0 - y0_) / step).astype("i4")
+fsle_ = empty(grid_shape, dtype="f4")
+used_ = zeros(grid_shape, dtype="bool")
+fsle_[j, i] = fsle
+used_[j, i] = used[::3]
+# Create a grid object
+fsle_custom = RegularGridDataset.with_array(
+    coordinates=("lon", "lat"),
+    datas=dict(
+        fsle=ma.array(fsle_.T, mask=~used_.T),
+        lon=lon_p,
+        lat=lat_p,
+    ),
+    centered=True,
+)
+
+# %%
+# Display FSLE
+# ------------
+fig = plt.figure(figsize=(13, 5), dpi=150)
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+ax.set_aspect("equal")
+ax.set_title("Finite size lyapunov exponent", weight="bold")
+kw = dict(cmap="viridis_r", vmin=-15, vmax=0)
+m = fsle_custom.display(ax, 1 / fsle_custom.grid("fsle"), **kw)
+ax.grid()
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
new file mode 100644
index 00000000..fd3aaff3
--- /dev/null
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -0,0 +1,144 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# FSLE experiment in med\n\nExample to build FSLE, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, empty, isnan, log2, ma, meshgrid, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## ADT in med\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Methods to compute fsle\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dxe ** 2 + dxn ** 2 + dye ** 2 + dyn ** 2\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            g[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Particles\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 0.02\nt0 = 20268\nx0_, y0_ = -5, 30\nlon_p, lat_p = arange(x0_, x0_ + 43, step), arange(y0_, y0_ + 16, step)\nx0, y0 = meshgrid(lon_p, lat_p)\ngrid_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Identify all particle not on land\nm = ~isnan(c[t0].interp(\"adt\", x0, y0))\nx0, y0 = x0[m], y0[m]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## FSLE\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "time_step_by_days = 5\n# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=True, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\nnb_days = 85\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, used, dt, dist_max=0.2, dist_init=step)\n\n# Get index with original_position\ni = ((x0 - x0_) / step).astype(\"i4\")\nj = ((y0 - y0_) / step).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\nused_ = zeros(grid_shape, dtype=\"bool\")\nfsle_[j, i] = fsle\nused_[j, i] = used[::3]\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_.T, mask=~used_.T),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Display FSLE\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-15, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file

From c8000417b4f0465d16b49b94677d82078560b3b3 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 14:34:08 +0100
Subject: [PATCH 278/441] for binder env

---
 apt.txt | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 apt.txt

diff --git a/apt.txt b/apt.txt
new file mode 100644
index 00000000..a72c3b87
--- /dev/null
+++ b/apt.txt
@@ -0,0 +1 @@
+libgl1-mesa-glx
\ No newline at end of file

From d746166119c81924083724be8aaa53b9229a5264 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 14:51:30 +0100
Subject: [PATCH 279/441] change binder requirement

---
 doc/conf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/conf.py b/doc/conf.py
index 12c732f8..ccf26e4e 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -69,7 +69,7 @@
         "repo": "py-eddy-tracker",
         "branch": "master",
         "binderhub_url": "https://mybinder.org",
-        "dependencies": ["../requirements.txt"],
+        "dependencies": ["environment.yml"],
         # Optional keys
         "use_jupyter_lab": True,
     },

From 7565ca1d2832389da869337667e1e2e28a4e83be Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 10 Mar 2021 15:46:49 +0100
Subject: [PATCH 280/441] add function insert_virtual and class
 GroupEddiesCollection

---
 examples/16_network/pet_relative.py          |   4 +-
 src/py_eddy_tracker/observations/groups.py   | 131 +++++++++++++++++++
 src/py_eddy_tracker/observations/network.py  |  47 ++++++-
 src/py_eddy_tracker/observations/tracking.py |  49 ++++---
 4 files changed, 198 insertions(+), 33 deletions(-)
 create mode 100644 src/py_eddy_tracker/observations/groups.py

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index f18d79a0..9993104c 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -199,6 +199,8 @@
 i_event = 5
 # %%
 # then see some order of relatives
+
+
 @FuncFormatter
 def formatter(x, pos):
     return (datetime.timedelta(x) + datetime.datetime(1950, 1, 1)).strftime("%d/%m/%Y")
@@ -209,7 +211,7 @@ def formatter(x, pos):
     max_order + 2, 1, sharex=True, figsize=(15, 5 * (max_order + 2))
 )
 
-axs[0].set_title(f"full network", weight="bold")
+axs[0].set_title("full network", weight="bold")
 axs[0].xaxis.set_major_formatter(formatter), axs[0].grid()
 mappables = n.display_timeline(axs[0], colors_mode="y")
 axs[0].legend()
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
new file mode 100644
index 00000000..b5534964
--- /dev/null
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -0,0 +1,131 @@
+import logging
+from abc import ABC, abstractmethod
+
+from numba import njit
+from numpy import arange, int32, interp, median, zeros
+
+from .observation import EddiesObservations
+
+logger = logging.getLogger("pet")
+
+
+@njit(cache=True)
+def get_missing_indices(
+    array_time, array_track, dt=1, flag_untrack=True, indice_untrack=0
+):
+    """return indices where it misses values
+
+    :param np.array(int) array_time : array of strictly increasing int representing time
+    :param np.array(int) array_track: N° track where observation belong
+    :param int,float dt: theorical timedelta between 2 observation
+    :param bool flag_untrack: if True, ignore observations where n°track equal `indice_untrack`
+    :param int indice_untrack: n° representing where observations are untrack
+
+
+    ex : array_time = np.array([67, 68, 70, 71, 74, 75])
+         array_track= np.array([ 1,  1,  1,  1,  1,  1])
+        return : np.array([2, 4, 4])
+    """
+
+    t0 = array_time[0]
+    t1 = t0
+
+    tr0 = array_track[0]
+    tr1 = tr0
+
+    nbr_step = zeros(array_time.shape, dtype=int32)
+
+    for i in range(array_time.size - 1):
+        t0 = t1
+        tr0 = tr1
+
+        t1 = array_time[i + 1]
+        tr1 = array_track[i + 1]
+
+        if flag_untrack & (tr1 == indice_untrack):
+            continue
+
+        if tr1 != tr0:
+            continue
+
+        diff = t1 - t0
+        if diff > dt:
+            nbr_step[i] = int(diff / dt) - 1
+
+    indices = zeros(nbr_step.sum(), dtype=int32)
+
+    j = 0
+    for i in range(array_time.size - 1):
+        nbr_missing = nbr_step[i]
+
+        if nbr_missing != 0:
+            for k in range(nbr_missing):
+                indices[j] = i + 1
+                j += 1
+    return indices
+
+
+class GroupEddiesObservations(EddiesObservations, ABC):
+    @abstractmethod
+    def fix_next_previous_obs(self):
+        pass
+
+    @abstractmethod
+    def get_missing_indices(self, dt):
+        "find indices where observations is missing"
+        pass
+
+    def filled_by_interpolation(self, mask):
+        """Filled selected values by interpolation
+
+        :param array(bool) mask: True if must be filled by interpolation
+
+        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.filled_by_interpolation
+        """
+
+        nb_filled = mask.sum()
+        logger.info("%d obs will be filled (unobserved)", nb_filled)
+
+        nb_obs = len(self)
+        index = arange(nb_obs)
+
+        for field in self.obs.dtype.descr:
+            # print(f"field : {field}")
+            var = field[0]
+            if (
+                var in ["n", "virtual", "track", "cost_association"]
+                or var in self.array_variables
+            ):
+                continue
+            self.obs[var][mask] = interp(
+                index[mask], index[~mask], self.obs[var][~mask]
+            )
+
+    def insert_virtual(self):
+
+        dt_theorical = median(self.time[1:] - self.time[:-1])
+        indices = self.get_missing_indices(dt_theorical)
+
+        logger.info("%d virtual observation will be added", indices.size)
+
+        # new observation size
+        size_obs_corrected = self.time.size + indices.size
+
+        # correction of indices for new size
+        indices_corrected = indices + arange(indices.size)
+
+        # creating mask with indices
+        mask = zeros(size_obs_corrected, dtype=bool)
+        mask[indices_corrected] = 1
+
+        # time2 = np.empty(n.time.size+indices.size, dtype=n.time.dtype)
+        # time2[mask] = -1
+        # time2[~mask] = n.time
+
+        # new_TEO = TrackEddiesObservations.new_like(n, size_obs_corrected)
+        new_TEO = self.new_like(self, size_obs_corrected)
+        new_TEO.obs[~mask] = self.obs
+        new_TEO.filled_by_interpolation(mask)
+        new_TEO.virtual[:] = mask
+        new_TEO.fix_next_previous_obs()
+        return new_TEO
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 72f86d4b..edbab2e4 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -22,6 +22,7 @@
 
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
+from .groups import GroupEddiesObservations, get_missing_indices
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
 
@@ -73,7 +74,28 @@ def load_contour(self, filename):
         return self.DATA[filename]
 
 
-class NetworkObservations(EddiesObservations):
+@njit(cache=True)
+def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
+    """when an observation is virtual, we have to fix the previous and next obs
+
+    :param np.array(int)  next_obs    : indice of next observation from network
+    :param np.array(int   previous_obs: indice of previous observation from network
+    :param np.array(bool) flag_virtual: if observation is virtual or not
+    """
+
+    for i_o in range(next_obs.size):
+        if not flag_virtual[i_o]:
+            continue
+
+        # if there is many virtual side by side, there is some values writted multiple times.
+        #   but it should not be slow
+        next_obs[i_o - 1] = i_o
+        next_obs[i_o] = i_o + 1
+        previous_obs[i_o] = i_o - 1
+        previous_obs[i_o + 1] = i_o
+
+
+class NetworkObservations(GroupEddiesObservations):
 
     __slots__ = ("_index_network",)
 
@@ -109,6 +131,25 @@ def find_segments_relative(self, obs, stopped=None, order=1):
             i_stopped = where(nw.segment == self.segment[stopped])[0][0]
             return nw.relatives([i_obs, i_stopped], order=order)
 
+    def get_missing_indices(self, dt):
+        """find indices where observations is missing.
+
+        As network have all untrack observation in tracknumber `self.NOGROUP`,
+            we don't compute them
+
+        :param int,float dt: theorical delta time between 2 observations
+        """
+        return get_missing_indices(
+            self.time, self.track, dt=dt, flag_untrack=True, indice_untrack=self.NOGROUP
+        )
+
+    def fix_next_previous_obs(self):
+        """function used after 'insert_virtual', to correct next_obs and
+        previous obs.
+        """
+
+        fix_next_previous_obs(self.next_obs, self.previous_obs, self.virtual)
+
     @property
     def index_network(self):
         if self._index_network is None:
@@ -712,10 +753,6 @@ def scatter(
         mappables["scatter"] = ax.scatter(x, self.latitude, **kwargs)
         return mappables
 
-    def insert_virtual(self):
-        # TODO
-        pass
-
     def extract_event(self, indices):
         nb = len(indices)
         new = EddiesObservations(
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 6a716622..5902462d 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -16,7 +16,6 @@
     degrees,
     empty,
     histogram,
-    interp,
     median,
     nan,
     ones,
@@ -29,12 +28,12 @@
 from .. import VAR_DESCR_inv, __version__
 from ..generic import build_index, cumsum_by_track, distance, split_line, wrap_longitude
 from ..poly import bbox_intersection, merge, vertice_overlap
-from .observation import EddiesObservations
+from .groups import GroupEddiesObservations, get_missing_indices
 
 logger = logging.getLogger("pet")
 
 
-class TrackEddiesObservations(EddiesObservations):
+class TrackEddiesObservations(GroupEddiesObservations):
     """Class to practice Tracking on observations"""
 
     __slots__ = ("__obs_by_track", "__first_index_of_track", "__nb_track")
@@ -77,6 +76,26 @@ def iter_track(self):
                 continue
             yield self.index(slice(i0, i0 + nb))
 
+    def get_missing_indices(self, dt):
+        """find indices where observations is missing.
+
+        :param int,float dt: theorical delta time between 2 observations
+        """
+        return get_missing_indices(
+            self.time,
+            self.track,
+            dt=dt,
+            flag_untrack=False,
+            indice_untrack=self.NOGROUP,
+        )
+
+    def fix_next_previous_obs(self):
+        """function used after 'insert_virtual', to correct next_obs and
+        previous obs.
+        """
+
+        pass
+
     @property
     def nb_tracks(self):
         """
@@ -146,30 +165,6 @@ def distance_to_next(self):
         d_[-1] = 0
         return d_
 
-    def filled_by_interpolation(self, mask):
-        """Filled selected values by interpolation
-
-        :param array(bool) mask: True if must be filled by interpolation
-
-        .. minigallery:: py_eddy_tracker.TrackEddiesObservations.filled_by_interpolation
-        """
-        nb_filled = mask.sum()
-        logger.info("%d obs will be filled (unobserved)", nb_filled)
-
-        nb_obs = len(self)
-        index = arange(nb_obs)
-
-        for field in self.obs.dtype.descr:
-            var = field[0]
-            if (
-                var in ["n", "virtual", "track", "cost_association"]
-                or var in self.array_variables
-            ):
-                continue
-            self.obs[var][mask] = interp(
-                index[mask], index[~mask], self.obs[var][~mask]
-            )
-
     def normalize_longitude(self):
         """Normalize all longitude
 

From cb87f3d68802bcceadb7fdc41190b72b75cb40fa Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 Mar 2021 17:44:32 +0100
Subject: [PATCH 281/441] Add circum polar example

---
 .../pet_eddy_detection_ACC.py                 | 168 ++++++++++++++++++
 .../pet_eddy_detection_ACC.ipynb              | 148 +++++++++++++++
 2 files changed, 316 insertions(+)
 create mode 100644 examples/02_eddy_identification/pet_eddy_detection_ACC.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb

diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
new file mode 100644
index 00000000..4f8e7557
--- /dev/null
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -0,0 +1,168 @@
+"""
+Eddy detection : Antartic circum polar
+======================================
+
+Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
+
+Two ones with filtering adt and another without
+
+"""
+from datetime import datetime
+
+from matplotlib import pyplot as plt
+
+from py_eddy_tracker import data
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
+
+def quad_axes(title):
+    fig = plt.figure(figsize=(13, 8.5))
+    fig.suptitle(title, weight="bold")
+    axes = list()
+    for position in (
+        [0.05, 0.53, 0.44, 0.44],
+        [0.53, 0.53, 0.44, 0.44],
+        [0.05, 0.03, 0.44, 0.44],
+        [0.53, 0.03, 0.44, 0.44],
+    ):
+        ax = fig.add_axes(position)
+        ax.set_xlim(5, 45), ax.set_ylim(-60, -37)
+        ax.set_aspect("equal"), ax.grid(True)
+        axes.append(ax)
+    return axes
+
+
+# %%
+# Load Input grid, ADT is used to detect eddies
+margin = 30
+
+kw_data = dict(
+    filename=data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    x_name="longitude",
+    y_name="latitude",
+    # Manual area subset
+    indexs=dict(
+        latitude=slice(100 - margin, 220 + margin),
+        longitude=slice(0, 230 + margin),
+    ),
+)
+g_raw = RegularGridDataset(**kw_data)
+g_raw.add_uv("adt")
+g = RegularGridDataset(**kw_data)
+g.copy("adt", "adt_low")
+g.bessel_high_filter("adt", 700)
+g.bessel_low_filter("adt_low", 700)
+g.add_uv("adt")
+
+# %%
+# Identification
+# ^^^^^^^^^^^^^^
+# Run the identification step with slices of 2 mm
+date = datetime(2016, 5, 15)
+kw_ident = dict(
+    date=date, step=0.002, shape_error=70, sampling=30, uname="u", vname="v"
+)
+a, c = g.eddy_identification("adt", **kw_ident)
+a_, c_ = g_raw.eddy_identification("adt", **kw_ident)
+
+
+# %%
+# Figures
+# -------
+axs = quad_axes("General properties field")
+m = g_raw.display(axs[0], "adt", vmin=-1, vmax=1, cmap="RdBu_r")
+axs[0].set_title("ADT(m)")
+m = g.display(axs[1], "adt_low", vmin=-1, vmax=1, cmap="RdBu_r")
+axs[1].set_title("ADT (m) large scale with cut at 700 km")
+m = g.display(axs[2], "adt", vmin=-1, vmax=1, cmap="RdBu_r")
+axs[2].set_title("ADT (m) high scale with cut at 700 km")
+cb = plt.colorbar(
+    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation="horizontal"
+)
+cb.set_label("ADT(m)", labelpad=-2)
+
+# %%
+axs = quad_axes("")
+axs[0].set_title("Without filter")
+axs[0].set_ylabel("Contours used in eddies")
+axs[1].set_title("With filter")
+axs[2].set_ylabel("Closed contours but not used")
+g_raw.contours.display(axs[0], lw=0.5, only_used=True)
+g.contours.display(axs[1], lw=0.5, only_used=True)
+g_raw.contours.display(axs[2], lw=0.5, only_unused=True)
+g.contours.display(axs[3], lw=0.5, only_unused=True)
+
+# %%
+kw = dict(ref=-10, linewidth=0.75)
+kw_a = dict(color="r", label="Anticyclonic ({nb_obs} eddies)")
+kw_c = dict(color="b", label="Cyclonic ({nb_obs} eddies)")
+kw_filled = dict(vmin=0, vmax=100, cmap="Spectral_r", lut=20, intern=True, factor=100)
+axs = quad_axes("Comparison between two detection")
+# Match with intern/inner contour
+i_a, j_a, s_a = a_.match(a, intern=True, cmin=0.15)
+i_c, j_c, s_c = c_.match(c, intern=True, cmin=0.15)
+
+a_.index(i_a).filled(axs[0], s_a, **kw_filled)
+a.index(j_a).filled(axs[1], s_a, **kw_filled)
+c_.index(i_c).filled(axs[0], s_c, **kw_filled)
+m = c.index(j_c).filled(axs[1], s_c, **kw_filled)
+
+cb = plt.colorbar(
+    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation="horizontal"
+)
+cb.set_label("Similarity index", labelpad=-5)
+a_.display(axs[0], **kw, **kw_a), c_.display(axs[0], **kw, **kw_c)
+a.display(axs[1], **kw, **kw_a), c.display(axs[1], **kw, **kw_c)
+
+axs[0].set_title("Without filter")
+axs[0].set_ylabel("Detection")
+axs[1].set_title("With filter")
+axs[2].set_ylabel("Contours' rejection criteria")
+
+g_raw.contours.display(axs[2], lw=0.5, only_unused=True, display_criterion=True)
+g.contours.display(axs[3], lw=0.5, only_unused=True, display_criterion=True)
+
+for ax in axs:
+    ax.legend()
+# %%
+# Criteria for rejecting a contour :
+#  0. Accepted (green)
+#  1. Rejection for shape error (red)
+#  2. Masked value within contour (blue)
+#  3. Under or over the pixel limit bounds (black)
+#  4. Amplitude criterion (yellow)
+
+# %%
+i_a, j_a = i_a[s_a >= 0.4], j_a[s_a >= 0.4]
+i_c, j_c = i_c[s_c >= 0.4], j_c[s_c >= 0.4]
+fig = plt.figure(figsize=(12, 12))
+fig.suptitle(f"Scatter plot (A : {i_a.shape[0]}, C : {i_c.shape[0]} matches)")
+
+for i, (label, field, factor, stop) in enumerate(
+    (
+        ("speed radius (km)", "radius_s", 0.001, 120),
+        ("outter radius (km)", "radius_e", 0.001, 120),
+        ("amplitude (cm)", "amplitude", 100, 25),
+        ("speed max (cm/s)", "speed_average", 100, 25),
+    )
+):
+    ax = fig.add_subplot(2, 2, i + 1, title=label)
+    ax.set_xlabel("Without filter")
+    ax.set_ylabel("With filter")
+
+    ax.plot(
+        a_[field][i_a] * factor,
+        a[field][j_a] * factor,
+        "r.",
+        label="Anticyclonic",
+    )
+    ax.plot(
+        c_[field][i_c] * factor,
+        c[field][j_c] * factor,
+        "b.",
+        label="Cyclonic",
+    )
+    ax.set_aspect("equal"), ax.grid()
+    ax.plot((0, 1000), (0, 1000), "g")
+    ax.set_xlim(0, stop), ax.set_ylim(0, stop)
+    ax.legend()
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
new file mode 100644
index 00000000..540f9393
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
@@ -0,0 +1,148 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Eddy detection : Antartic circum polar\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nTwo ones with filtering adt and another without\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\n\ndef quad_axes(title):\n    fig = plt.figure(figsize=(13, 8.5))\n    fig.suptitle(title, weight=\"bold\")\n    axes = list()\n    for position in (\n        [0.05, 0.53, 0.44, 0.44],\n        [0.53, 0.53, 0.44, 0.44],\n        [0.05, 0.03, 0.44, 0.44],\n        [0.53, 0.03, 0.44, 0.44],\n    ):\n        ax = fig.add_axes(position)\n        ax.set_xlim(5, 45), ax.set_ylim(-60, -37)\n        ax.set_aspect(\"equal\"), ax.grid(True)\n        axes.append(ax)\n    return axes"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load Input grid, ADT is used to detect eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "margin = 30\n\nkw_data = dict(\n    filename=data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    x_name=\"longitude\",\n    y_name=\"latitude\",\n    # Manual area subset\n    indexs=dict(\n        latitude=slice(100 - margin, 220 + margin),\n        longitude=slice(0, 230 + margin),\n    ),\n)\ng_raw = RegularGridDataset(**kw_data)\ng_raw.add_uv(\"adt\")\ng = RegularGridDataset(**kw_data)\ng.copy(\"adt\", \"adt_low\")\ng.bessel_high_filter(\"adt\", 700)\ng.bessel_low_filter(\"adt_low\", 700)\ng.add_uv(\"adt\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Identification\nRun the identification step with slices of 2 mm\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "date = datetime(2016, 5, 15)\nkw_ident = dict(\n    date=date, step=0.002, shape_error=70, sampling=30, uname=\"u\", vname=\"v\"\n)\na, c = g.eddy_identification(\"adt\", **kw_ident)\na_, c_ = g_raw.eddy_identification(\"adt\", **kw_ident)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Figures\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "axs = quad_axes(\"General properties field\")\nm = g_raw.display(axs[0], \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[0].set_title(\"ADT(m)\")\nm = g.display(axs[1], \"adt_low\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[1].set_title(\"ADT (m) large scale with cut at 700 km\")\nm = g.display(axs[2], \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[2].set_title(\"ADT (m) high scale with cut at 700 km\")\ncb = plt.colorbar(\n    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"ADT(m)\", labelpad=-2)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "axs = quad_axes(\"\")\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Contours used in eddies\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Closed contours but not used\")\ng_raw.contours.display(axs[0], lw=0.5, only_used=True)\ng.contours.display(axs[1], lw=0.5, only_used=True)\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw = dict(ref=-10, linewidth=0.75)\nkw_a = dict(color=\"r\", label=\"Anticyclonic ({nb_obs} eddies)\")\nkw_c = dict(color=\"b\", label=\"Cyclonic ({nb_obs} eddies)\")\nkw_filled = dict(vmin=0, vmax=100, cmap=\"Spectral_r\", lut=20, intern=True, factor=100)\naxs = quad_axes(\"Comparison between two detection\")\n# Match with intern/inner contour\ni_a, j_a, s_a = a_.match(a, intern=True, cmin=0.15)\ni_c, j_c, s_c = c_.match(c, intern=True, cmin=0.15)\n\na_.index(i_a).filled(axs[0], s_a, **kw_filled)\na.index(j_a).filled(axs[1], s_a, **kw_filled)\nc_.index(i_c).filled(axs[0], s_c, **kw_filled)\nm = c.index(j_c).filled(axs[1], s_c, **kw_filled)\n\ncb = plt.colorbar(\n    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"Similarity index\", labelpad=-5)\na_.display(axs[0], **kw, **kw_a), c_.display(axs[0], **kw, **kw_c)\na.display(axs[1], **kw, **kw_a), c.display(axs[1], **kw, **kw_c)\n\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Detection\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Contours' rejection criteria\")\n\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True, display_criterion=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True, display_criterion=True)\n\nfor ax in axs:\n    ax.legend()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Criteria for rejecting a contour :\n 0. Accepted (green)\n 1. Rejection for shape error (red)\n 2. Masked value within contour (blue)\n 3. Under or over the pixel limit bounds (black)\n 4. Amplitude criterion (yellow)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i_a, j_a = i_a[s_a >= 0.4], j_a[s_a >= 0.4]\ni_c, j_c = i_c[s_c >= 0.4], j_c[s_c >= 0.4]\nfig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a.shape[0]}, C : {i_c.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 120),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Without filter\")\n    ax.set_ylabel(\"With filter\")\n\n    ax.plot(\n        a_[field][i_a] * factor,\n        a[field][j_a] * factor,\n        \"r.\",\n        label=\"Anticyclonic\",\n    )\n    ax.plot(\n        c_[field][i_c] * factor,\n        c[field][j_c] * factor,\n        \"b.\",\n        label=\"Cyclonic\",\n    )\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file

From c6265288ed44f63b820a051d79f251a2f4827c1a Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 11 Mar 2021 10:11:50 +0100
Subject: [PATCH 282/441] add test for network

---
 src/py_eddy_tracker/observations/network.py | 26 ++++++++++++++++-----
 tests/test_network.py                       | 15 ++++++++++++
 2 files changed, 35 insertions(+), 6 deletions(-)
 create mode 100644 tests/test_network.py

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index edbab2e4..7b76fd2e 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1104,14 +1104,28 @@ def get_group_array(self, results, nb_obs):
                     if g0 > g1:
                         g0, g1 = g1, g0
                     merge_id.append((g0, g1))
+        gr_transfer = self.group_translator(id_free, set(merge_id))
+        return gr_transfer[gr]
+
+    @staticmethod
+    def group_translator(nb, duos):
+        """
+        Create a translator with all duos
 
-        # FIXME: how it's work when several merge ? like (0,1), (0,2), (1,3)
-        gr_transfer = arange(id_free, dtype="u4")
-        for i, j in set(merge_id):
-            gr_i, gr_j = gr_transfer[i], gr_transfer[j]
+        :param int nb: size of translator
+        :param set((int, int)) duos: set of all group which must be join
+
+        Examples
+        --------
+        >>> NetworkObservations.group_translator(5, ((0, 1), (0, 2), (1, 3)))
+        [3, 3, 3, 3, 5]
+        """
+        translate = arange(nb, dtype="u4")
+        for i, j in sorted(duos):
+            gr_i, gr_j = translate[i], translate[j]
             if gr_i != gr_j:
-                apply_replace(gr_transfer, gr_i, gr_j)
-        return gr_transfer[gr]
+                apply_replace(translate, gr_i, gr_j)
+        return translate
 
     def group_observations(self, **kwargs):
         results, nb_obs = list(), list()
diff --git a/tests/test_network.py b/tests/test_network.py
new file mode 100644
index 00000000..5cd9b4cd
--- /dev/null
+++ b/tests/test_network.py
@@ -0,0 +1,15 @@
+from py_eddy_tracker.observations.network import Network
+
+
+def test_group_translate():
+    translate = Network.group_translator(5, ((0, 1), (0, 2), (1, 3)))
+    assert (translate == [3, 3, 3, 3, 4]).all()
+
+    translate = Network.group_translator(5, ((1, 3), (0, 1), (0, 2)))
+    assert (translate == [3, 3, 3, 3, 4]).all()
+
+    translate = Network.group_translator(8, ((1, 3), (2, 3), (2, 4), (5, 6), (4, 5)))
+    assert (translate == [0, 6, 6, 6, 6, 6, 6, 7]).all()
+
+    translate = Network.group_translator(6, ((0, 1), (0, 2), (1, 3), (4, 5)))
+    assert (translate == [3, 3, 3, 3, 5, 5]).all()

From 1f3d119d25a0b9b7d0ef4c70956455a5ee52f283 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 11 Mar 2021 14:42:23 +0100
Subject: [PATCH 283/441] Example about storage and access

---
 TODOLIST.md                                   |   0
 examples/01_general_things/README.rst         |   3 +
 examples/01_general_things/pet_storage.py     | 105 ++++++++++
 .../01_general_things/pet_storage.ipynb       | 180 ++++++++++++++++++
 .../observations/observation.py               |  41 ++++
 5 files changed, 329 insertions(+)
 delete mode 100644 TODOLIST.md
 create mode 100644 examples/01_general_things/README.rst
 create mode 100644 examples/01_general_things/pet_storage.py
 create mode 100644 notebooks/python_module/01_general_things/pet_storage.ipynb

diff --git a/TODOLIST.md b/TODOLIST.md
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/01_general_things/README.rst b/examples/01_general_things/README.rst
new file mode 100644
index 00000000..5876c1b6
--- /dev/null
+++ b/examples/01_general_things/README.rst
@@ -0,0 +1,3 @@
+General features
+================
+
diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
new file mode 100644
index 00000000..423053cf
--- /dev/null
+++ b/examples/01_general_things/pet_storage.py
@@ -0,0 +1,105 @@
+"""
+How data is stored
+==================
+
+General information about eddies storage.
+
+All eddies files have same structure with more or less field and a way of ordering.
+
+There are 3 class of files:
+
+- Eddies collections which contains a list of eddies without link between observations
+- Track eddies collections which manage eddies when there are merged in trajectory
+  (track field allow to separate each track)
+- Network eddies collections which manage eddies when there are merged in network
+  (track/segment field allow to separate observations)
+"""
+
+import py_eddy_tracker_sample
+
+from py_eddy_tracker.data import get_path, get_remote_sample
+from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.observations.observation import EddiesObservations, Table
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+# %%
+# Eddies could be store in 2 formats with same structures:
+#
+# - zarr (https://zarr.readthedocs.io/en/stable/), which allow efficiency in IO,...
+# - NetCDF4 (https://unidata.github.io/netcdf4-python/), well-known format
+#
+# Each field are stored in column, each row corresponds at 1 observation,
+# array field like contour/profile are 2D column.
+
+# %%
+# Eddies files (zarr or netcdf) could be loaded with `load_file` method:
+eddies_collections = EddiesObservations.load_file(get_path("Cyclonic_20160515.nc"))
+eddies_collections.field_table()
+# offset and scale_factor are used only when data is stored in zarr or netCDF4
+
+# %%
+# Field access
+# ------------
+eddies_collections.amplitude
+
+# %%
+# Data matrix is a numpy ndarray
+eddies_collections.obs
+# %%
+eddies_collections.obs.dtype
+
+
+# %%
+# Contour storage
+# ---------------
+# Contour are stored to fixed size for all, contour are resample with an algorithm before to be store in object
+
+
+# %%
+# Tracks
+# ------
+# Tracks add several field like:
+#
+# - track : ID which allow to identify path
+# - observation_flag : True if it's an observation to filled a missing detection
+# - observation_number : Age of eddies
+# - cost_association : result of cost function which allow to associate the observation with eddy path
+eddies_tracks = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+# In this example some field are removed like effective_contour_longitude, ... in order to save time for doc building
+eddies_tracks.field_table()
+
+# %%
+# Network
+# -------
+# Network files use some specific field:
+#
+# - track :  ID of network (ID 0 are for lonely eddies/trash)
+# - segment :  ID of path in network (from 0 to N)
+# - previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation
+# - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation
+# - previous_cost : Result of cost_function (1 good <> 0 bad) with previous observation
+# - next_cost : Result of cost_function (1 good <> 0 bad) with next observation
+eddies_network = NetworkObservations.load_file(
+    get_remote_sample(
+        "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
+    )
+)
+eddies_network.field_table()
+
+# %%
+sl = slice(70, 100)
+Table(
+    eddies_network.network(651).obs[sl][
+        [
+            "time",
+            "track",
+            "segment",
+            "previous_obs",
+            "previous_cost",
+            "next_obs",
+            "next_cost",
+        ]
+    ]
+)
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
new file mode 100644
index 00000000..a4f9ddce
--- /dev/null
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -0,0 +1,180 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll eddies files have same structure with more or less field and a way of ordering.\n\nThere are 3 class of files:\n\n- Eddies collections which contains a list of eddies without link between observations\n- Track eddies collections which manage eddies when there are merged in trajectory\n  (track field allow to separate each track)\n- Network eddies collections which manage eddies when there are merged in network\n  (track/segment field allow to separate observations)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import py_eddy_tracker_sample\n\nfrom py_eddy_tracker.data import get_path, get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.observation import EddiesObservations, Table\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Eddies could be store in 2 formats with same structures:\n\n- zarr (https://zarr.readthedocs.io/en/stable/), which allow efficiency in IO,...\n- NetCDF4 (https://unidata.github.io/netcdf4-python/), well-known format\n\nEach field are stored in column, each row corresponds at 1 observation,\narray field like contour/profile are 2D column.\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Eddies files (zarr or netcdf) could be loaded with `load_file` method:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_collections = EddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\"))\neddies_collections.field_table()\n# offset and scale_factor are used only when data is stored in zarr or netCDF4"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Field access\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_collections.amplitude"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data matrix is a numpy ndarray\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_collections.obs"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_collections.obs.dtype"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Contour storage\nContour are stored to fixed size for all, contour are resample with an algorithm before to be store in object\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Tracks\nTracks add several field like:\n\n- track : ID which allow to identify path\n- observation_flag : True if it's an observation to filled a missing detection\n- observation_number : Age of eddies\n- cost_association : result of cost function which allow to associate the observation with eddy path\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_tracks = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n# In this example some field are removed like effective_contour_longitude, ... in order to save time for doc building\neddies_tracks.field_table()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Network\nNetwork files use some specific field:\n\n- track :  ID of network (ID 0 are for lonely eddies/trash)\n- segment :  ID of path in network (from 0 to N)\n- previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation\n- previous_cost : Result of cost_function (1 good <> 0 bad) with previous observation\n- next_cost : Result of cost_function (1 good <> 0 bad) with next observation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "eddies_network = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\neddies_network.field_table()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "sl = slice(70, 100)\nTable(\n    eddies_network.network(651).obs[sl][\n        [\n            \"time\",\n            \"track\",\n            \"segment\",\n            \"previous_obs\",\n            \"previous_cost\",\n            \"next_obs\",\n            \"next_cost\",\n        ]\n    ]\n)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index c2513e57..edda8373 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -109,6 +109,28 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
     return m
 
 
+class Table(object):
+    def __init__(self, values):
+        self.values = values
+
+    def _repr_html_(self):
+        rows = list()
+        if isinstance(self.values, ndarray):
+            row = "\n".join([f"<td>{v}</td >" for v in self.values.dtype.names])
+            rows.append(f"<tr>{row}</tr>")
+        for row in self.values:
+            row = "\n".join([f"<td>{v}</td >" for v in row])
+            rows.append(f"<tr>{row}</tr>")
+        rows = "\n".join(rows)
+        return (
+            f'<font size="2">'
+            f'<table class="docutils align-default">'
+            f"{rows}"
+            f"</table>"
+            f"</font>"
+        )
+
+
 class EddiesObservations(object):
     """
     Class to store eddy observations.
@@ -259,6 +281,25 @@ def box_display(value):
         """Return value evenly spaced with few numbers"""
         return "".join([f"{v_:10.2f}" for v_ in value])
 
+    def field_table(self):
+        """
+        Produce description table of field available in this object
+        """
+        rows = [("Name(Unit)", "Long name", "Scale factor", "Offset")]
+        names = list(self.obs.dtype.names)
+        names.sort()
+        for field in names:
+            infos = VAR_DESCR[field]
+            rows.append(
+                (
+                    f"{infos.get('nc_name', field).capitalize()} ({infos['nc_attr'].get('units', '')})",
+                    infos["nc_attr"].get("long_name", "").capitalize(),
+                    infos.get("scale_factor", ""),
+                    infos.get("add_offset", ""),
+                )
+            )
+        return Table(rows)
+
     def __repr__(self):
         """
         Return general informations on dataset as strings.

From e9d42a1b9371e64e5ab945c104bc6e8451a00c1b Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Thu, 11 Mar 2021 14:36:08 +0100
Subject: [PATCH 284/441] fancy figures in ACC detection

---
 .../pet_eddy_detection_ACC.py                 | 107 ++++++++++++------
 1 file changed, 73 insertions(+), 34 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index 4f8e7557..5354b1c9 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -1,35 +1,58 @@
 """
-Eddy detection : Antartic circum polar
-======================================
+Eddy detection : Antartic Circumpolar Current
+=============================================
 
-Script will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)
+This script detect eddies on the ADT field, and compute u,v with the method add_uv (use it only if the Equator is avoided)
 
-Two ones with filtering adt and another without
+Two detections are provided : with a filtered ADT and without filtering
 
 """
 from datetime import datetime
 
 from matplotlib import pyplot as plt
+from matplotlib import style
 
 from py_eddy_tracker import data
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 
+pos_cb = [0.1, 0.52, 0.83, 0.015]
+pos_cb2 = [0.1, 0.07, 0.4, 0.015]
+
 
 def quad_axes(title):
-    fig = plt.figure(figsize=(13, 8.5))
-    fig.suptitle(title, weight="bold")
+    style.use("default")
+    fig = plt.figure(figsize=(13, 10))
+    fig.suptitle(title, weight="bold", fontsize=14)
     axes = list()
-    for position in (
-        [0.05, 0.53, 0.44, 0.44],
-        [0.53, 0.53, 0.44, 0.44],
-        [0.05, 0.03, 0.44, 0.44],
-        [0.53, 0.03, 0.44, 0.44],
-    ):
+
+    ax_pos = dict(
+        topleft=[0.1, 0.54, 0.4, 0.38],
+        topright=[0.53, 0.54, 0.4, 0.38],
+        botleft=[0.1, 0.09, 0.4, 0.38],
+        botright=[0.53, 0.09, 0.4, 0.38],
+    )
+
+    for key, position in ax_pos.items():
         ax = fig.add_axes(position)
         ax.set_xlim(5, 45), ax.set_ylim(-60, -37)
         ax.set_aspect("equal"), ax.grid(True)
         axes.append(ax)
-    return axes
+        if "right" in key:
+            ax.set_yticklabels("")
+    return fig, axes
+
+
+def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"):
+    for ax in fig.get_axes():
+        ax.grid()
+        ax.grid(which="major", linestyle="-", linewidth="0.5", color="black")
+        if ax.get_ylabel() != "":
+            ax.set_ylabel(ax.get_ylabel(), fontsize=labelsize, fontweight=labelweight)
+        if ax.get_xlabel() != "":
+            ax.set_xlabel(ax.get_xlabel(), fontsize=labelsize, fontweight=labelweight)
+        if ax.get_title() != "":
+            ax.set_title(ax.get_title(), fontsize=labelsize, fontweight=labelweight)
+        ax.tick_params(labelsize=ticklabelsize)
 
 
 # %%
@@ -69,20 +92,25 @@ def quad_axes(title):
 # %%
 # Figures
 # -------
-axs = quad_axes("General properties field")
-m = g_raw.display(axs[0], "adt", vmin=-1, vmax=1, cmap="RdBu_r")
-axs[0].set_title("ADT(m)")
-m = g.display(axs[1], "adt_low", vmin=-1, vmax=1, cmap="RdBu_r")
-axs[1].set_title("ADT (m) large scale with cut at 700 km")
-m = g.display(axs[2], "adt", vmin=-1, vmax=1, cmap="RdBu_r")
-axs[2].set_title("ADT (m) high scale with cut at 700 km")
-cb = plt.colorbar(
-    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation="horizontal"
-)
-cb.set_label("ADT(m)", labelpad=-2)
+kw_adt = dict(vmin=-1.5, vmax=1.5, cmap=plt.get_cmap("RdBu_r", 30))
+fig, axs = quad_axes("General properties field")
+m = g_raw.display(axs[0], "adt", **kw_adt)
+axs[0].set_title("Total ADT (m)")
+m = g.display(axs[1], "adt_low", **kw_adt)
+axs[1].set_title("ADT (m) large scale, cutoff at 700 km")
+m2 = g.display(axs[2], "adt", cmap=plt.get_cmap("RdBu_r", 20), vmin=-0.5, vmax=0.5)
+axs[2].set_title("ADT (m) high-pass filtered, a cutoff at 700 km")
+cb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation="horizontal")
+cb.set_label("ADT (m)", labelpad=0)
+cb2 = plt.colorbar(m2, cax=axs[2].figure.add_axes(pos_cb2), orientation="horizontal")
+cb2.set_label("ADT (m)", labelpad=0)
+set_fancy_labels(fig)
+
+# %%
+# The large-scale North-South gradient is removed by the filtering step.
 
 # %%
-axs = quad_axes("")
+fig, axs = quad_axes("")
 axs[0].set_title("Without filter")
 axs[0].set_ylabel("Contours used in eddies")
 axs[1].set_title("With filter")
@@ -91,13 +119,18 @@ def quad_axes(title):
 g.contours.display(axs[1], lw=0.5, only_used=True)
 g_raw.contours.display(axs[2], lw=0.5, only_unused=True)
 g.contours.display(axs[3], lw=0.5, only_unused=True)
+set_fancy_labels(fig)
+
+# %%
+# Removing the large-scale North-South gradient reveals closed contours in the
+# South-Western corner of the ewample region.
 
 # %%
 kw = dict(ref=-10, linewidth=0.75)
 kw_a = dict(color="r", label="Anticyclonic ({nb_obs} eddies)")
 kw_c = dict(color="b", label="Cyclonic ({nb_obs} eddies)")
 kw_filled = dict(vmin=0, vmax=100, cmap="Spectral_r", lut=20, intern=True, factor=100)
-axs = quad_axes("Comparison between two detection")
+fig, axs = quad_axes("Comparison between two detections")
 # Match with intern/inner contour
 i_a, j_a, s_a = a_.match(a, intern=True, cmin=0.15)
 i_c, j_c, s_c = c_.match(c, intern=True, cmin=0.15)
@@ -107,10 +140,8 @@ def quad_axes(title):
 c_.index(i_c).filled(axs[0], s_c, **kw_filled)
 m = c.index(j_c).filled(axs[1], s_c, **kw_filled)
 
-cb = plt.colorbar(
-    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation="horizontal"
-)
-cb.set_label("Similarity index", labelpad=-5)
+cb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation="horizontal")
+cb.set_label("Similarity index (%)", labelpad=-5)
 a_.display(axs[0], **kw, **kw_a), c_.display(axs[0], **kw, **kw_c)
 a.display(axs[1], **kw, **kw_a), c.display(axs[1], **kw, **kw_c)
 
@@ -124,6 +155,12 @@ def quad_axes(title):
 
 for ax in axs:
     ax.legend()
+
+set_fancy_labels(fig)
+
+# %%
+# Very similar eddies have Similarity Indexes >= 40%
+
 # %%
 # Criteria for rejecting a contour :
 #  0. Accepted (green)
@@ -140,10 +177,10 @@ def quad_axes(title):
 
 for i, (label, field, factor, stop) in enumerate(
     (
-        ("speed radius (km)", "radius_s", 0.001, 120),
-        ("outter radius (km)", "radius_e", 0.001, 120),
-        ("amplitude (cm)", "amplitude", 100, 25),
-        ("speed max (cm/s)", "speed_average", 100, 25),
+        ("Speed radius (km)", "radius_s", 0.001, 120),
+        ("Effective radius (km)", "radius_e", 0.001, 120),
+        ("Amplitude (cm)", "amplitude", 100, 25),
+        ("Speed max (cm/s)", "speed_average", 100, 25),
     )
 ):
     ax = fig.add_subplot(2, 2, i + 1, title=label)
@@ -166,3 +203,5 @@ def quad_axes(title):
     ax.plot((0, 1000), (0, 1000), "g")
     ax.set_xlim(0, stop), ax.set_ylim(0, stop)
     ax.legend()
+
+set_fancy_labels(fig)

From dac07825058fd0ed7e988ee4f3dae14063b2f835 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Thu, 11 Mar 2021 17:51:27 +0100
Subject: [PATCH 285/441] - pet_storage complements (#67)

- orthograph in __init__
- no capitals field_table to get same field name as in .nc
---
 examples/01_general_things/pet_storage.py     | 59 ++++++++++---------
 src/py_eddy_tracker/__init__.py               |  6 +-
 .../observations/observation.py               |  6 +-
 3 files changed, 38 insertions(+), 33 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index 423053cf..facf1884 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -4,15 +4,13 @@
 
 General information about eddies storage.
 
-All eddies files have same structure with more or less field and a way of ordering.
+All files have the same structure, with more or less fields and possible different order.
 
 There are 3 class of files:
 
-- Eddies collections which contains a list of eddies without link between observations
-- Track eddies collections which manage eddies when there are merged in trajectory
-  (track field allow to separate each track)
-- Network eddies collections which manage eddies when there are merged in network
-  (track/segment field allow to separate observations)
+- **Eddies collections** : contain a list of eddies without link between them
+- **Track eddies collections** : manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory
+- **Network eddies collections** : manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
 """
 
 import py_eddy_tracker_sample
@@ -23,7 +21,7 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
 # %%
-# Eddies could be store in 2 formats with same structures:
+# Eddies can be stored in 2 formats with the same structure:
 #
 # - zarr (https://zarr.readthedocs.io/en/stable/), which allow efficiency in IO,...
 # - NetCDF4 (https://unidata.github.io/netcdf4-python/), well-known format
@@ -32,7 +30,7 @@
 # array field like contour/profile are 2D column.
 
 # %%
-# Eddies files (zarr or netcdf) could be loaded with `load_file` method:
+# Eddies files (zarr or netcdf) could be loaded with ```load_file``` method:
 eddies_collections = EddiesObservations.load_file(get_path("Cyclonic_20160515.nc"))
 eddies_collections.field_table()
 # offset and scale_factor are used only when data is stored in zarr or netCDF4
@@ -40,8 +38,12 @@
 # %%
 # Field access
 # ------------
+# To access the total field, here ```amplitude```
 eddies_collections.amplitude
 
+# To access only a specific part of the field
+eddies_collections.amplitude[4:15]
+
 # %%
 # Data matrix is a numpy ndarray
 eddies_collections.obs
@@ -52,35 +54,34 @@
 # %%
 # Contour storage
 # ---------------
-# Contour are stored to fixed size for all, contour are resample with an algorithm before to be store in object
-
+# All contours are stored on the same number of points, and are resampled if needed with an algorithm to be stored as objects
 
 # %%
-# Tracks
-# ------
-# Tracks add several field like:
+# Trajectories
+# ------------
+# Tracks eddies collections add several fields :
 #
-# - track : ID which allow to identify path
-# - observation_flag : True if it's an observation to filled a missing detection
-# - observation_number : Age of eddies
-# - cost_association : result of cost function which allow to associate the observation with eddy path
+# - **track** : Trajectory number
+# - **observation_flag** : Flag indicating if the value is interpolated between two observations or not (0: observed eddy, 1: interpolated eddy)"
+# - **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection
+# - **cost_association** : result of the cost function to associate the eddy with the next observation
 eddies_tracks = TrackEddiesObservations.load_file(
     py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
-# In this example some field are removed like effective_contour_longitude, ... in order to save time for doc building
+# In this example some fields are removed (effective_contour_longitude,...) in order to save time for doc building
 eddies_tracks.field_table()
 
 # %%
-# Network
-# -------
-# Network files use some specific field:
+# Networks
+# --------
+# Network files use some specific fields :
 #
-# - track :  ID of network (ID 0 are for lonely eddies/trash)
-# - segment :  ID of path in network (from 0 to N)
-# - previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation
-# - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation
-# - previous_cost : Result of cost_function (1 good <> 0 bad) with previous observation
-# - next_cost : Result of cost_function (1 good <> 0 bad) with next observation
+# - track :  ID of network (ID 0 correspond to lonely eddies)
+# - segment :  ID of a segment within a network (from 1 to N)
+# - previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation (the segment starts)
+# - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)
+# - previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation
+# - next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation
 eddies_network = NetworkObservations.load_file(
     get_remote_sample(
         "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
@@ -103,3 +104,7 @@
         ]
     ]
 )
+
+# %%
+# Networks are ordered by increasing network number (`track`), then increasing segment number, then increasing time
+
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 8e93c7aa..44944f73 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -474,7 +474,7 @@ def parse_args(self, *args, **kwargs):
         nc_attr=dict(
             long_name="number of points for effective contour",
             units="ordinal",
-            description="Number of point for effective contour before resampling",
+            description="Number of points for effective contour before resampling",
         ),
     ),
     contour_lon_s=dict(
@@ -516,9 +516,9 @@ def parse_args(self, *args, **kwargs):
         nc_type="u2",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="number of point for speed contour",
+            long_name="number of points for speed contour",
             units="ordinal",
-            description="Number of point for speed contour before resampling",
+            description="Number of points for speed contour before resampling",
         ),
     ),
     shape_error_e=dict(
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index edda8373..7d6ab314 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -283,16 +283,16 @@ def box_display(value):
 
     def field_table(self):
         """
-        Produce description table of field available in this object
+        Produce description table of the fields available in this object
         """
-        rows = [("Name(Unit)", "Long name", "Scale factor", "Offset")]
+        rows = [("Name (Unit)", "Long name", "Scale factor", "Offset")]
         names = list(self.obs.dtype.names)
         names.sort()
         for field in names:
             infos = VAR_DESCR[field]
             rows.append(
                 (
-                    f"{infos.get('nc_name', field).capitalize()} ({infos['nc_attr'].get('units', '')})",
+                    f"{infos.get('nc_name', field)} ({infos['nc_attr'].get('units', '')})",
                     infos["nc_attr"].get("long_name", "").capitalize(),
                     infos.get("scale_factor", ""),
                     infos.get("add_offset", ""),

From f66bfdeaa930f6ed7968d5538f7d8aa3ad6da236 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 12 Mar 2021 10:08:36 +0100
Subject: [PATCH 286/441] update example for binder

---
 .../01_general_things/pet_storage.ipynb       | 25 +++++++++-----
 .../pet_eddy_detection_ACC.ipynb              | 33 +++++++++++++++----
 src/py_eddy_tracker/dataset/grid.py           |  1 -
 3 files changed, 43 insertions(+), 16 deletions(-)

diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index a4f9ddce..35a07dfd 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll eddies files have same structure with more or less field and a way of ordering.\n\nThere are 3 class of files:\n\n- Eddies collections which contains a list of eddies without link between observations\n- Track eddies collections which manage eddies when there are merged in trajectory\n  (track field allow to separate each track)\n- Network eddies collections which manage eddies when there are merged in network\n  (track/segment field allow to separate observations)\n"
+        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll files have the same structure, with more or less fields and possible different order.\n\nThere are 3 class of files:\n\n- **Eddies collections** : contain a list of eddies without link between them\n- **Track eddies collections** : manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory\n- **Network eddies collections** : manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations\n"
       ]
     },
     {
@@ -33,14 +33,14 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Eddies could be store in 2 formats with same structures:\n\n- zarr (https://zarr.readthedocs.io/en/stable/), which allow efficiency in IO,...\n- NetCDF4 (https://unidata.github.io/netcdf4-python/), well-known format\n\nEach field are stored in column, each row corresponds at 1 observation,\narray field like contour/profile are 2D column.\n\n"
+        "Eddies can be stored in 2 formats with the same structure:\n\n- zarr (https://zarr.readthedocs.io/en/stable/), which allow efficiency in IO,...\n- NetCDF4 (https://unidata.github.io/netcdf4-python/), well-known format\n\nEach field are stored in column, each row corresponds at 1 observation,\narray field like contour/profile are 2D column.\n\n"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Eddies files (zarr or netcdf) could be loaded with `load_file` method:\n\n"
+        "Eddies files (zarr or netcdf) could be loaded with ```load_file``` method:\n\n"
       ]
     },
     {
@@ -58,7 +58,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Field access\n\n"
+        "## Field access\nTo access the total field, here ```amplitude```\n\n"
       ]
     },
     {
@@ -69,7 +69,7 @@
       },
       "outputs": [],
       "source": [
-        "eddies_collections.amplitude"
+        "eddies_collections.amplitude\n\n# To access only a specific part of the field\neddies_collections.amplitude[4:15]"
       ]
     },
     {
@@ -105,14 +105,14 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Contour storage\nContour are stored to fixed size for all, contour are resample with an algorithm before to be store in object\n\n"
+        "## Contour storage\nAll contours are stored on the same number of points, and are resampled if needed with an algorithm to be stored as objects\n\n"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Tracks\nTracks add several field like:\n\n- track : ID which allow to identify path\n- observation_flag : True if it's an observation to filled a missing detection\n- observation_number : Age of eddies\n- cost_association : result of cost function which allow to associate the observation with eddy path\n\n"
+        "## Trajectories\nTracks eddies collections add several fields :\n\n- **track** : Trajectory number\n- **observation_flag** : Flag indicating if the value is interpolated between two observations or not (0: observed eddy, 1: interpolated eddy)\"\n- **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection\n- **cost_association** : result of the cost function to associate the eddy with the next observation\n\n"
       ]
     },
     {
@@ -123,14 +123,14 @@
       },
       "outputs": [],
       "source": [
-        "eddies_tracks = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n# In this example some field are removed like effective_contour_longitude, ... in order to save time for doc building\neddies_tracks.field_table()"
+        "eddies_tracks = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n# In this example some fields are removed (effective_contour_longitude,...) in order to save time for doc building\neddies_tracks.field_table()"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Network\nNetwork files use some specific field:\n\n- track :  ID of network (ID 0 are for lonely eddies/trash)\n- segment :  ID of path in network (from 0 to N)\n- previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation\n- previous_cost : Result of cost_function (1 good <> 0 bad) with previous observation\n- next_cost : Result of cost_function (1 good <> 0 bad) with next observation\n\n"
+        "## Networks\nNetwork files use some specific fields :\n\n- track :  ID of network (ID 0 correspond to lonely eddies)\n- segment :  ID of a segment within a network (from 1 to N)\n- previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation (the segment starts)\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)\n- previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation\n- next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation\n\n"
       ]
     },
     {
@@ -154,6 +154,13 @@
       "source": [
         "sl = slice(70, 100)\nTable(\n    eddies_network.network(651).obs[sl][\n        [\n            \"time\",\n            \"track\",\n            \"segment\",\n            \"previous_obs\",\n            \"previous_cost\",\n            \"next_obs\",\n            \"next_cost\",\n        ]\n    ]\n)"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Networks are ordered by increasing network number (`track`), then increasing segment number, then increasing time\n\n"
+      ]
     }
   ],
   "metadata": {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
index 540f9393..689f532b 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Eddy detection : Antartic circum polar\n\nScript will detect eddies on adt field, and compute u,v with method add_uv(which could use, only if equator is avoid)\n\nTwo ones with filtering adt and another without\n"
+        "\n# Eddy detection : Antartic Circumpolar Current\n\nThis script detect eddies on the ADT field, and compute u,v with the method add_uv (use it only if the Equator is avoided)\n\nTwo detections are provided : with a filtered ADT and without filtering\n"
       ]
     },
     {
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\n\ndef quad_axes(title):\n    fig = plt.figure(figsize=(13, 8.5))\n    fig.suptitle(title, weight=\"bold\")\n    axes = list()\n    for position in (\n        [0.05, 0.53, 0.44, 0.44],\n        [0.53, 0.53, 0.44, 0.44],\n        [0.05, 0.03, 0.44, 0.44],\n        [0.53, 0.03, 0.44, 0.44],\n    ):\n        ax = fig.add_axes(position)\n        ax.set_xlim(5, 45), ax.set_ylim(-60, -37)\n        ax.set_aspect(\"equal\"), ax.grid(True)\n        axes.append(ax)\n    return axes"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib import style\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\npos_cb = [0.1, 0.52, 0.83, 0.015]\npos_cb2 = [0.1, 0.07, 0.4, 0.015]\n\n\ndef quad_axes(title):\n    style.use(\"default\")\n    fig = plt.figure(figsize=(13, 10))\n    fig.suptitle(title, weight=\"bold\", fontsize=14)\n    axes = list()\n\n    ax_pos = dict(\n        topleft=[0.1, 0.54, 0.4, 0.38],\n        topright=[0.53, 0.54, 0.4, 0.38],\n        botleft=[0.1, 0.09, 0.4, 0.38],\n        botright=[0.53, 0.09, 0.4, 0.38],\n    )\n\n    for key, position in ax_pos.items():\n        ax = fig.add_axes(position)\n        ax.set_xlim(5, 45), ax.set_ylim(-60, -37)\n        ax.set_aspect(\"equal\"), ax.grid(True)\n        axes.append(ax)\n        if \"right\" in key:\n            ax.set_yticklabels(\"\")\n    return fig, axes\n\n\ndef set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight=\"semibold\"):\n    for ax in fig.get_axes():\n        ax.grid()\n        ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"black\")\n        if ax.get_ylabel() != \"\":\n            ax.set_ylabel(ax.get_ylabel(), fontsize=labelsize, fontweight=labelweight)\n        if ax.get_xlabel() != \"\":\n            ax.set_xlabel(ax.get_xlabel(), fontsize=labelsize, fontweight=labelweight)\n        if ax.get_title() != \"\":\n            ax.set_title(ax.get_title(), fontsize=labelsize, fontweight=labelweight)\n        ax.tick_params(labelsize=ticklabelsize)"
       ]
     },
     {
@@ -80,7 +80,14 @@
       },
       "outputs": [],
       "source": [
-        "axs = quad_axes(\"General properties field\")\nm = g_raw.display(axs[0], \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[0].set_title(\"ADT(m)\")\nm = g.display(axs[1], \"adt_low\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[1].set_title(\"ADT (m) large scale with cut at 700 km\")\nm = g.display(axs[2], \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\naxs[2].set_title(\"ADT (m) high scale with cut at 700 km\")\ncb = plt.colorbar(\n    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"ADT(m)\", labelpad=-2)"
+        "kw_adt = dict(vmin=-1.5, vmax=1.5, cmap=plt.get_cmap(\"RdBu_r\", 30))\nfig, axs = quad_axes(\"General properties field\")\nm = g_raw.display(axs[0], \"adt\", **kw_adt)\naxs[0].set_title(\"Total ADT (m)\")\nm = g.display(axs[1], \"adt_low\", **kw_adt)\naxs[1].set_title(\"ADT (m) large scale, cutoff at 700 km\")\nm2 = g.display(axs[2], \"adt\", cmap=plt.get_cmap(\"RdBu_r\", 20), vmin=-0.5, vmax=0.5)\naxs[2].set_title(\"ADT (m) high-pass filtered, a cutoff at 700 km\")\ncb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation=\"horizontal\")\ncb.set_label(\"ADT (m)\", labelpad=0)\ncb2 = plt.colorbar(m2, cax=axs[2].figure.add_axes(pos_cb2), orientation=\"horizontal\")\ncb2.set_label(\"ADT (m)\", labelpad=0)\nset_fancy_labels(fig)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The large-scale North-South gradient is removed by the filtering step.\n\n"
       ]
     },
     {
@@ -91,7 +98,14 @@
       },
       "outputs": [],
       "source": [
-        "axs = quad_axes(\"\")\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Contours used in eddies\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Closed contours but not used\")\ng_raw.contours.display(axs[0], lw=0.5, only_used=True)\ng.contours.display(axs[1], lw=0.5, only_used=True)\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True)"
+        "fig, axs = quad_axes(\"\")\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Contours used in eddies\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Closed contours but not used\")\ng_raw.contours.display(axs[0], lw=0.5, only_used=True)\ng.contours.display(axs[1], lw=0.5, only_used=True)\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True)\nset_fancy_labels(fig)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Removing the large-scale North-South gradient reveals closed contours in the\nSouth-Western corner of the ewample region.\n\n"
       ]
     },
     {
@@ -102,7 +116,14 @@
       },
       "outputs": [],
       "source": [
-        "kw = dict(ref=-10, linewidth=0.75)\nkw_a = dict(color=\"r\", label=\"Anticyclonic ({nb_obs} eddies)\")\nkw_c = dict(color=\"b\", label=\"Cyclonic ({nb_obs} eddies)\")\nkw_filled = dict(vmin=0, vmax=100, cmap=\"Spectral_r\", lut=20, intern=True, factor=100)\naxs = quad_axes(\"Comparison between two detection\")\n# Match with intern/inner contour\ni_a, j_a, s_a = a_.match(a, intern=True, cmin=0.15)\ni_c, j_c, s_c = c_.match(c, intern=True, cmin=0.15)\n\na_.index(i_a).filled(axs[0], s_a, **kw_filled)\na.index(j_a).filled(axs[1], s_a, **kw_filled)\nc_.index(i_c).filled(axs[0], s_c, **kw_filled)\nm = c.index(j_c).filled(axs[1], s_c, **kw_filled)\n\ncb = plt.colorbar(\n    m, cax=axs[0].figure.add_axes([0.03, 0.51, 0.94, 0.01]), orientation=\"horizontal\"\n)\ncb.set_label(\"Similarity index\", labelpad=-5)\na_.display(axs[0], **kw, **kw_a), c_.display(axs[0], **kw, **kw_c)\na.display(axs[1], **kw, **kw_a), c.display(axs[1], **kw, **kw_c)\n\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Detection\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Contours' rejection criteria\")\n\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True, display_criterion=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True, display_criterion=True)\n\nfor ax in axs:\n    ax.legend()"
+        "kw = dict(ref=-10, linewidth=0.75)\nkw_a = dict(color=\"r\", label=\"Anticyclonic ({nb_obs} eddies)\")\nkw_c = dict(color=\"b\", label=\"Cyclonic ({nb_obs} eddies)\")\nkw_filled = dict(vmin=0, vmax=100, cmap=\"Spectral_r\", lut=20, intern=True, factor=100)\nfig, axs = quad_axes(\"Comparison between two detections\")\n# Match with intern/inner contour\ni_a, j_a, s_a = a_.match(a, intern=True, cmin=0.15)\ni_c, j_c, s_c = c_.match(c, intern=True, cmin=0.15)\n\na_.index(i_a).filled(axs[0], s_a, **kw_filled)\na.index(j_a).filled(axs[1], s_a, **kw_filled)\nc_.index(i_c).filled(axs[0], s_c, **kw_filled)\nm = c.index(j_c).filled(axs[1], s_c, **kw_filled)\n\ncb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation=\"horizontal\")\ncb.set_label(\"Similarity index (%)\", labelpad=-5)\na_.display(axs[0], **kw, **kw_a), c_.display(axs[0], **kw, **kw_c)\na.display(axs[1], **kw, **kw_a), c.display(axs[1], **kw, **kw_c)\n\naxs[0].set_title(\"Without filter\")\naxs[0].set_ylabel(\"Detection\")\naxs[1].set_title(\"With filter\")\naxs[2].set_ylabel(\"Contours' rejection criteria\")\n\ng_raw.contours.display(axs[2], lw=0.5, only_unused=True, display_criterion=True)\ng.contours.display(axs[3], lw=0.5, only_unused=True, display_criterion=True)\n\nfor ax in axs:\n    ax.legend()\n\nset_fancy_labels(fig)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Very similar eddies have Similarity Indexes >= 40%\n\n"
       ]
     },
     {
@@ -120,7 +141,7 @@
       },
       "outputs": [],
       "source": [
-        "i_a, j_a = i_a[s_a >= 0.4], j_a[s_a >= 0.4]\ni_c, j_c = i_c[s_c >= 0.4], j_c[s_c >= 0.4]\nfig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a.shape[0]}, C : {i_c.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"speed radius (km)\", \"radius_s\", 0.001, 120),\n        (\"outter radius (km)\", \"radius_e\", 0.001, 120),\n        (\"amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Without filter\")\n    ax.set_ylabel(\"With filter\")\n\n    ax.plot(\n        a_[field][i_a] * factor,\n        a[field][j_a] * factor,\n        \"r.\",\n        label=\"Anticyclonic\",\n    )\n    ax.plot(\n        c_[field][i_c] * factor,\n        c[field][j_c] * factor,\n        \"b.\",\n        label=\"Cyclonic\",\n    )\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()"
+        "i_a, j_a = i_a[s_a >= 0.4], j_a[s_a >= 0.4]\ni_c, j_c = i_c[s_c >= 0.4], j_c[s_c >= 0.4]\nfig = plt.figure(figsize=(12, 12))\nfig.suptitle(f\"Scatter plot (A : {i_a.shape[0]}, C : {i_c.shape[0]} matches)\")\n\nfor i, (label, field, factor, stop) in enumerate(\n    (\n        (\"Speed radius (km)\", \"radius_s\", 0.001, 120),\n        (\"Effective radius (km)\", \"radius_e\", 0.001, 120),\n        (\"Amplitude (cm)\", \"amplitude\", 100, 25),\n        (\"Speed max (cm/s)\", \"speed_average\", 100, 25),\n    )\n):\n    ax = fig.add_subplot(2, 2, i + 1, title=label)\n    ax.set_xlabel(\"Without filter\")\n    ax.set_ylabel(\"With filter\")\n\n    ax.plot(\n        a_[field][i_a] * factor,\n        a[field][j_a] * factor,\n        \"r.\",\n        label=\"Anticyclonic\",\n    )\n    ax.plot(\n        c_[field][i_c] * factor,\n        c[field][j_c] * factor,\n        \"b.\",\n        label=\"Cyclonic\",\n    )\n    ax.set_aspect(\"equal\"), ax.grid()\n    ax.plot((0, 1000), (0, 1000), \"g\")\n    ax.set_xlim(0, stop), ax.set_ylim(0, stop)\n    ax.legend()\n\nset_fancy_labels(fig)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index c0c70325..06cdfac1 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -634,7 +634,6 @@ def eddy_identification(
         self.init_speed_coef(uname, vname)
 
         # Get unit of h grid
-
         h_units = (
             self.units(grid_height) if force_height_unit is None else force_height_unit
         )

From a63344ff330054a838b16d76f16601356698b74a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Thu, 11 Mar 2021 12:53:52 +0100
Subject: [PATCH 287/441] add new file for apidoc, change spliting_event,
 adding comment

change spliting_event to reflext what merging_event do
---
 doc/api.rst                                 |  1 +
 src/py_eddy_tracker/observations/groups.py  |  8 ++-----
 src/py_eddy_tracker/observations/network.py | 23 ++++++++++++++-------
 3 files changed, 19 insertions(+), 13 deletions(-)

diff --git a/doc/api.rst b/doc/api.rst
index c463c7d0..866704f8 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -14,6 +14,7 @@ API reference
    py_eddy_tracker.observations.network
    py_eddy_tracker.observations.observation
    py_eddy_tracker.observations.tracking
+   py_eddy_tracker.observations.groups
    py_eddy_tracker.eddy_feature
    py_eddy_tracker.generic
    py_eddy_tracker.gui
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index b5534964..01ff112a 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -102,6 +102,7 @@ def filled_by_interpolation(self, mask):
             )
 
     def insert_virtual(self):
+        """insert virtual observation on segments where observations were not found"""
 
         dt_theorical = median(self.time[1:] - self.time[:-1])
         indices = self.get_missing_indices(dt_theorical)
@@ -118,14 +119,9 @@ def insert_virtual(self):
         mask = zeros(size_obs_corrected, dtype=bool)
         mask[indices_corrected] = 1
 
-        # time2 = np.empty(n.time.size+indices.size, dtype=n.time.dtype)
-        # time2[mask] = -1
-        # time2[~mask] = n.time
-
-        # new_TEO = TrackEddiesObservations.new_like(n, size_obs_corrected)
         new_TEO = self.new_like(self, size_obs_corrected)
         new_TEO.obs[~mask] = self.obs
         new_TEO.filled_by_interpolation(mask)
         new_TEO.virtual[:] = mask
         new_TEO.fix_next_previous_obs()
-        return new_TEO
+        return new_TEO
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 7b76fd2e..b474eaeb 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -838,7 +838,7 @@ def merging_event(self, triplet=False, only_index=False):
             else:
                 return self.extract_event(idx_m1)
 
-    def spliting_event(self, triplet=False):
+    def spliting_event(self, triplet=False, only_index=False):
         """Return observation before a splitting event.
 
         If `triplet=True` return the eddy before a splitting event, the eddy after the splitting event,
@@ -859,14 +859,23 @@ def spliting_event(self, triplet=False):
                     idx_s1_start.append(i.start)
                     idx_s1.append(next_obs[i_p])
                 idx_s0.append(i_p)
+
         if triplet:
-            return (
-                self.extract_event(list(idx_s0)),
-                self.extract_event(list(idx_s1)),
-                self.extract_event(list(idx_s1_start)),
-            )
+            if only_index:
+                return (idx_s0, idx_s1, idx_s1_start)
+            else:
+                return (
+                    self.extract_event(list(idx_s0)),
+                    self.extract_event(list(idx_s1)),
+                    self.extract_event(list(idx_s1_start)),
+                )
+
         else:
-            return self.extract_event(list(set(idx_s0)))
+            idx_s0 = list(set(idx_s0))
+            if only_index:
+                return idx_s0
+            else:
+                return self.extract_event(idx_s0)
 
     def dissociate_network(self):
         """

From 89e6488b920787bf9a6a01a6cdce83be9294b2ac Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Thu, 11 Mar 2021 12:55:11 +0100
Subject: [PATCH 288/441] adding function keep_tracks_by_date

---
 src/py_eddy_tracker/observations/groups.py | 27 +++++++++++++++++++++-
 1 file changed, 26 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 01ff112a..68047371 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -124,4 +124,29 @@ def insert_virtual(self):
         new_TEO.filled_by_interpolation(mask)
         new_TEO.virtual[:] = mask
         new_TEO.fix_next_previous_obs()
-        return new_TEO
\ No newline at end of file
+        return new_TEO
+
+    def keep_tracks_by_date(self, date, nb_days):
+        """
+        find tracks which exist at date `date` and lasted at least `nb_days` after.
+
+        if nb_days is negative, it search a tracks which exist at the date,
+            but existed at least `nb_days` before the date
+
+
+        :param int,float date   : date where the tracks must exist
+        :param int,float nb_days: number of time where the tracks must exist. Can be negative
+
+        """
+
+        time = self.time
+
+        mask = zeros(time.shape, dtype=bool)
+
+        for i, b0, b1 in self.iter_on(self.tracks):
+            _time = time[i]
+
+            if date in _time and (date + nb_days) in _time:
+                mask[i] = True
+
+        return self.extract_with_mask(mask)

From 0930741271ade1bffe2bb94ab921f34bd117dec6 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Fri, 12 Mar 2021 18:46:11 +0100
Subject: [PATCH 289/441] - precisions on lon/lat max - full colors for contour
 rejection

---
 examples/01_general_things/pet_storage.py | 1 -
 src/py_eddy_tracker/__init__.py           | 2 ++
 src/py_eddy_tracker/eddy_feature.py       | 8 +++++++-
 3 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index facf1884..ffad7d4d 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -107,4 +107,3 @@
 
 # %%
 # Networks are ordered by increasing network number (`track`), then increasing segment number, then increasing time
-
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 44944f73..46946e77 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -229,6 +229,7 @@ def parse_args(self, *args, **kwargs):
             axis="X",
             long_name="Longitude of the SSH maximum",
             standard_name="longitude",
+            comment="Longitude of the inner contour",
         ),
     ),
     lat_max=dict(
@@ -243,6 +244,7 @@ def parse_args(self, *args, **kwargs):
             axis="Y",
             long_name="Latitude of the SSH maximum",
             standard_name="latitude",
+            comment="Latitude of the inner contour",
         ),
     ),
     amplitude=dict(
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 6d929ea0..48b6f2d7 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -651,7 +651,13 @@ def display(
             if not overide_color:
                 ax.add_collection(LineCollection(paths, **local_kwargs))
         if display_criterion:
-            colors = {0: "g", 1: "r", 2: "b", 3: "k", 4: "y"}
+            colors = {
+                0: "limegreen",
+                1: "red",
+                2: "mediumblue",
+                3: "black",
+                4: "gold",
+            }
             for k, v in paths.items():
                 local_kwargs = kwargs.copy()
                 local_kwargs.pop("label", None)

From 77ff344af82562a2de842ae397f40616369566bb Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Sat, 13 Mar 2021 14:59:13 +0100
Subject: [PATCH 290/441] coarser resolution in FSLE example

---
 examples/07_cube_manipulation/pet_fsle_med.py | 45 +++++++++++++------
 .../07_cube_manipulation/pet_fsle_med.ipynb   | 26 +++++++++--
 2 files changed, 54 insertions(+), 17 deletions(-)

diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 3a8e7dcc..59e3c8de 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -2,7 +2,7 @@
 FSLE experiment in med
 ======================
 
-Example to build FSLE, parameter values must be adapted for your case.
+Example to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.
 
 Example use a method similar to `AVISO flse`_
 
@@ -25,7 +25,7 @@
 
 # %%
 # ADT in med
-# ---------------------
+# ----------
 c = GridCollection.from_netcdf_cube(
     get_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
@@ -36,7 +36,7 @@
 
 
 # %%
-# Methods to compute fsle
+# Methods to compute FSLE
 # -----------------------
 @njit(cache=True, fastmath=True)
 def check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):
@@ -86,13 +86,33 @@ def build_triplet(x, y, step=0.02):
     return x_, y_
 
 
+# %%
+# Settings
+# --------
+
+# Step in degrees for ouput
+step_grid_out = 1 / 25.0
+# Initial separation in degrees
+dist_init = 1 / 50.0
+# Final separation in degrees
+dist_max = 1 / 5.0
+# Time of start
+t0 = 20268
+# Number of time step by days
+time_step_by_days = 5
+# Maximal time of advection
+# Here we limit because our data cube cover only 3 month
+nb_days = 85
+# Backward or forward
+backward = True
+
 # %%
 # Particles
 # ---------
-step = 0.02
-t0 = 20268
 x0_, y0_ = -5, 30
-lon_p, lat_p = arange(x0_, x0_ + 43, step), arange(y0_, y0_ + 16, step)
+lon_p, lat_p = arange(x0_, x0_ + 43, step_grid_out), arange(
+    y0_, y0_ + 16, step_grid_out
+)
 x0, y0 = meshgrid(lon_p, lat_p)
 grid_shape = x0.shape
 x0, y0 = x0.reshape(-1), y0.reshape(-1)
@@ -103,26 +123,25 @@ def build_triplet(x, y, step=0.02):
 # %%
 # FSLE
 # ----
-time_step_by_days = 5
+
 # Array to compute fsle
 fsle = zeros(x0.shape[0], dtype="f4")
-x, y = build_triplet(x0, y0)
+x, y = build_triplet(x0, y0, dist_init)
 used = zeros(x.shape[0], dtype="bool")
 
 # advection generator
-kw = dict(t_init=t0, nb_step=1, backward=True, mask_particule=used)
+kw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)
 p = c.advect(x, y, "u", "v", time_step=86400 / time_step_by_days, **kw)
 
-nb_days = 85
 # We check at each step of advection if particle distance is over `dist_max`
 for i in range(time_step_by_days * nb_days):
     t, xt, yt = p.__next__()
     dt = t / 86400.0 - t0
-    check_p(xt, yt, fsle, used, dt, dist_max=0.2, dist_init=step)
+    check_p(xt, yt, fsle, used, dt, dist_max=dist_max, dist_init=dist_init)
 
 # Get index with original_position
-i = ((x0 - x0_) / step).astype("i4")
-j = ((y0 - y0_) / step).astype("i4")
+i = ((x0 - x0_) / step_grid_out).astype("i4")
+j = ((y0 - y0_) / step_grid_out).astype("i4")
 fsle_ = empty(grid_shape, dtype="f4")
 used_ = zeros(grid_shape, dtype="bool")
 fsle_[j, i] = fsle
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index fd3aaff3..fdc67b90 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# FSLE experiment in med\n\nExample to build FSLE, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
+        "\n# FSLE experiment in med\n\nExample to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Methods to compute fsle\n\n"
+        "## Methods to compute FSLE\n\n"
       ]
     },
     {
@@ -65,6 +65,24 @@
         "@njit(cache=True, fastmath=True)\ndef check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dxe ** 2 + dxn ** 2 + dye ** 2 + dyn ** 2\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            g[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Settings\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Step in degrees for ouput\nstep_grid_out = 1/25.\n# Initial separation in degrees\ndist_init = 1/50.\n# Final separation in degrees\ndist_max = 1/5.\n# Time of start\nt0 = 20268\n# Number of time step by days\ntime_step_by_days = 5\n# Maximal time of advection\n# Here we limit because our data cube cover only 3 month\nnb_days = 85\n# Backward or forward\nbackward=True"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -80,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "step = 0.02\nt0 = 20268\nx0_, y0_ = -5, 30\nlon_p, lat_p = arange(x0_, x0_ + 43, step), arange(y0_, y0_ + 16, step)\nx0, y0 = meshgrid(lon_p, lat_p)\ngrid_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Identify all particle not on land\nm = ~isnan(c[t0].interp(\"adt\", x0, y0))\nx0, y0 = x0[m], y0[m]"
+        "x0_, y0_ = -5, 30\nlon_p, lat_p = arange(x0_, x0_ + 43, step_grid_out), arange(y0_, y0_ + 16, step_grid_out)\nx0, y0 = meshgrid(lon_p, lat_p)\ngrid_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Identify all particle not on land\nm = ~isnan(c[t0].interp(\"adt\", x0, y0))\nx0, y0 = x0[m], y0[m]"
       ]
     },
     {
@@ -98,7 +116,7 @@
       },
       "outputs": [],
       "source": [
-        "time_step_by_days = 5\n# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=True, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\nnb_days = 85\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, used, dt, dist_max=0.2, dist_init=step)\n\n# Get index with original_position\ni = ((x0 - x0_) / step).astype(\"i4\")\nj = ((y0 - y0_) / step).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\nused_ = zeros(grid_shape, dtype=\"bool\")\nfsle_[j, i] = fsle\nused_[j, i] = used[::3]\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_.T, mask=~used_.T),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
+        "# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0, dist_init)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, used, dt, dist_max=dist_max, dist_init=dist_init)\n\n# Get index with original_position\ni = ((x0 - x0_) / step_grid_out).astype(\"i4\")\nj = ((y0 - y0_) / step_grid_out).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\nused_ = zeros(grid_shape, dtype=\"bool\")\nfsle_[j, i] = fsle\nused_[j, i] = used[::3]\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_.T, mask=~used_.T),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
       ]
     },
     {

From 9f43829cb63f9678acfaa80797601429c6e6a19f Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 09:56:26 +0100
Subject: [PATCH 291/441] add theta to fsle example

---
 examples/07_cube_manipulation/pet_fsle_med.py | 48 ++++++++++++++-----
 .../07_cube_manipulation/pet_fsle_med.ipynb   | 28 +++++++++--
 2 files changed, 58 insertions(+), 18 deletions(-)

diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 59e3c8de..5ce36b85 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -14,7 +14,7 @@
 
 from matplotlib import pyplot as plt
 from numba import njit
-from numpy import arange, empty, isnan, log2, ma, meshgrid, zeros
+from numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros
 
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.data import get_path
@@ -39,7 +39,7 @@
 # Methods to compute FSLE
 # -----------------------
 @njit(cache=True, fastmath=True)
-def check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):
+def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
     """
     Check if distance between eastern or northern particle to center particle is bigger than `dist_max`
     """
@@ -60,11 +60,17 @@ def check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):
         de = dxe ** 2 + dye ** 2
 
         if dn >= delta or de >= delta:
-            s1 = dxe ** 2 + dxn ** 2 + dye ** 2 + dyn ** 2
+            s1 = dn + de
+            at1 = 2 * (dxe * dxn + dye * dyn)
+            at2 = de - dn
             s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (
                 (dxn - dye) ** 2 + (dxe + dyn) ** 2
             )
-            g[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
+            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
+            theta[i] = arctan2(at1, at2 + s2) * 180 / pi
+            # To know where value are set
+            m_set[i] = False
+            # To stop partcile advection
             m[i0], m[i_n], m[i_e] = True, True, True
 
 
@@ -110,10 +116,9 @@ def build_triplet(x, y, step=0.02):
 # Particles
 # ---------
 x0_, y0_ = -5, 30
-lon_p, lat_p = arange(x0_, x0_ + 43, step_grid_out), arange(
-    y0_, y0_ + 16, step_grid_out
-)
-x0, y0 = meshgrid(lon_p, lat_p)
+lon_p = arange(x0_, x0_ + 43, step_grid_out)
+lat_p = arange(y0_, y0_ + 16, step_grid_out)
+y0, x0 = meshgrid(lat_p, lon_p)
 grid_shape = x0.shape
 x0, y0 = x0.reshape(-1), y0.reshape(-1)
 # Identify all particle not on land
@@ -126,6 +131,8 @@ def build_triplet(x, y, step=0.02):
 
 # Array to compute fsle
 fsle = zeros(x0.shape[0], dtype="f4")
+theta = zeros(x0.shape[0], dtype="f4")
+mask = ones(x0.shape[0], dtype="f4")
 x, y = build_triplet(x0, y0, dist_init)
 used = zeros(x.shape[0], dtype="bool")
 
@@ -137,20 +144,23 @@ def build_triplet(x, y, step=0.02):
 for i in range(time_step_by_days * nb_days):
     t, xt, yt = p.__next__()
     dt = t / 86400.0 - t0
-    check_p(xt, yt, fsle, used, dt, dist_max=dist_max, dist_init=dist_init)
+    check_p(xt, yt, fsle, theta, mask, used, dt, dist_max=dist_max, dist_init=dist_init)
 
 # Get index with original_position
 i = ((x0 - x0_) / step_grid_out).astype("i4")
 j = ((y0 - y0_) / step_grid_out).astype("i4")
 fsle_ = empty(grid_shape, dtype="f4")
-used_ = zeros(grid_shape, dtype="bool")
-fsle_[j, i] = fsle
-used_[j, i] = used[::3]
+theta_ = empty(grid_shape, dtype="f4")
+mask_ = ones(grid_shape, dtype="bool")
+fsle_[i, j] = fsle
+theta_[i, j] = theta
+mask_[i, j] = mask
 # Create a grid object
 fsle_custom = RegularGridDataset.with_array(
     coordinates=("lon", "lat"),
     datas=dict(
-        fsle=ma.array(fsle_.T, mask=~used_.T),
+        fsle=ma.array(fsle_, mask=mask_),
+        theta=ma.array(theta_, mask=mask_),
         lon=lon_p,
         lat=lat_p,
     ),
@@ -169,3 +179,15 @@ def build_triplet(x, y, step=0.02):
 m = fsle_custom.display(ax, 1 / fsle_custom.grid("fsle"), **kw)
 ax.grid()
 cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
+# %%
+# Display Theta
+# -------------
+fig = plt.figure(figsize=(13, 5), dpi=150)
+ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+ax.set_aspect("equal")
+ax.set_title("Theta from finite size lyapunov exponent", weight="bold")
+kw = dict(cmap="Spectral_r", vmin=-180, vmax=180)
+m = fsle_custom.display(ax, fsle_custom.grid("theta"), **kw)
+ax.grid()
+cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index fdc67b90..2dcba12d 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, empty, isnan, log2, ma, meshgrid, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, g, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dxe ** 2 + dxn ** 2 + dye ** 2 + dyn ** 2\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            g[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
+        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop partcile advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "# Step in degrees for ouput\nstep_grid_out = 1/25.\n# Initial separation in degrees\ndist_init = 1/50.\n# Final separation in degrees\ndist_max = 1/5.\n# Time of start\nt0 = 20268\n# Number of time step by days\ntime_step_by_days = 5\n# Maximal time of advection\n# Here we limit because our data cube cover only 3 month\nnb_days = 85\n# Backward or forward\nbackward=True"
+        "# Step in degrees for ouput\nstep_grid_out = 1 / 25.0\n# Initial separation in degrees\ndist_init = 1 / 50.0\n# Final separation in degrees\ndist_max = 1 / 5.0\n# Time of start\nt0 = 20268\n# Number of time step by days\ntime_step_by_days = 5\n# Maximal time of advection\n# Here we limit because our data cube cover only 3 month\nnb_days = 85\n# Backward or forward\nbackward = True"
       ]
     },
     {
@@ -98,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "x0_, y0_ = -5, 30\nlon_p, lat_p = arange(x0_, x0_ + 43, step_grid_out), arange(y0_, y0_ + 16, step_grid_out)\nx0, y0 = meshgrid(lon_p, lat_p)\ngrid_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Identify all particle not on land\nm = ~isnan(c[t0].interp(\"adt\", x0, y0))\nx0, y0 = x0[m], y0[m]"
+        "x0_, y0_ = -5, 30\nlon_p = arange(x0_, x0_ + 43, step_grid_out)\nlat_p = arange(y0_, y0_ + 16, step_grid_out)\ny0, x0 = meshgrid(lat_p, lon_p)\ngrid_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Identify all particle not on land\nm = ~isnan(c[t0].interp(\"adt\", x0, y0))\nx0, y0 = x0[m], y0[m]"
       ]
     },
     {
@@ -116,7 +116,7 @@
       },
       "outputs": [],
       "source": [
-        "# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0, dist_init)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, used, dt, dist_max=dist_max, dist_init=dist_init)\n\n# Get index with original_position\ni = ((x0 - x0_) / step_grid_out).astype(\"i4\")\nj = ((y0 - y0_) / step_grid_out).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\nused_ = zeros(grid_shape, dtype=\"bool\")\nfsle_[j, i] = fsle\nused_[j, i] = used[::3]\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_.T, mask=~used_.T),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
+        "# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\ntheta = zeros(x0.shape[0], dtype=\"f4\")\nmask = ones(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0, dist_init)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, theta, mask, used, dt, dist_max=dist_max, dist_init=dist_init)\n\n# Get index with original_position\ni = ((x0 - x0_) / step_grid_out).astype(\"i4\")\nj = ((y0 - y0_) / step_grid_out).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\ntheta_ = empty(grid_shape, dtype=\"f4\")\nmask_ = ones(grid_shape, dtype=\"bool\")\nfsle_[i, j] = fsle\ntheta_[i, j] = theta\nmask_[i, j] = mask\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_, mask=mask_),\n        theta=ma.array(theta_, mask=mask_),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
       ]
     },
     {
@@ -136,6 +136,24 @@
       "source": [
         "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-15, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Display Theta\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Theta from finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"Spectral_r\", vmin=-180, vmax=180)\nm = fsle_custom.display(ax, fsle_custom.grid(\"theta\"), **kw)\nax.grid()\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
     }
   ],
   "metadata": {

From bdabfe618753cc8698991d4310bb7efaeb4d34c1 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 15:12:36 +0100
Subject: [PATCH 292/441] update network example to be build remotely

---
 examples/01_general_things/pet_storage.py     |  12 +-
 examples/07_cube_manipulation/pet_fsle_med.py |   2 +-
 examples/16_network/pet_atlas.py              | 140 ++---
 examples/16_network/pet_group_anim.py         |   8 +-
 examples/16_network/pet_ioannou_2017_case.py  |  42 +-
 examples/16_network/pet_relative.py           | 126 +++--
 .../16_network/pet_replay_segmentation.py     |  37 +-
 examples/16_network/pet_segmentation_anim.py  |  38 +-
 .../01_general_things/pet_storage.ipynb       |   6 +-
 .../07_cube_manipulation/pet_fsle_med.ipynb   |   2 +-
 .../python_module/16_network/pet_atlas.ipynb  | 371 +++++++++++++
 .../16_network/pet_group_anim.ipynb           | 195 +++++++
 .../16_network/pet_ioannou_2017_case.ipynb    |  30 +-
 .../16_network/pet_relative.ipynb             | 511 ++++++++++++++++++
 .../16_network/pet_replay_segmentation.ipynb  | 180 ++++++
 .../16_network/pet_segmentation_anim.ipynb    | 137 +++++
 src/py_eddy_tracker/data/network_med.nc       | Bin 0 -> 1243290 bytes
 src/py_eddy_tracker/observations/network.py   |  13 +
 18 files changed, 1585 insertions(+), 265 deletions(-)
 create mode 100644 notebooks/python_module/16_network/pet_atlas.ipynb
 create mode 100644 notebooks/python_module/16_network/pet_group_anim.ipynb
 create mode 100644 notebooks/python_module/16_network/pet_relative.ipynb
 create mode 100644 notebooks/python_module/16_network/pet_replay_segmentation.ipynb
 create mode 100644 notebooks/python_module/16_network/pet_segmentation_anim.ipynb
 create mode 100644 src/py_eddy_tracker/data/network_med.nc

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index ffad7d4d..b22981a4 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -9,8 +9,10 @@
 There are 3 class of files:
 
 - **Eddies collections** : contain a list of eddies without link between them
-- **Track eddies collections** : manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory
-- **Network eddies collections** : manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
+- **Track eddies collections** :
+   manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory
+- **Network eddies collections** :
+   manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
 """
 
 import py_eddy_tracker_sample
@@ -62,7 +64,8 @@
 # Tracks eddies collections add several fields :
 #
 # - **track** : Trajectory number
-# - **observation_flag** : Flag indicating if the value is interpolated between two observations or not (0: observed eddy, 1: interpolated eddy)"
+# - **observation_flag** : Flag indicating if the value is interpolated between two observations or not
+#                          (0: observed eddy, 1: interpolated eddy)"
 # - **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection
 # - **cost_association** : result of the cost function to associate the eddy with the next observation
 eddies_tracks = TrackEddiesObservations.load_file(
@@ -78,7 +81,8 @@
 #
 # - track :  ID of network (ID 0 correspond to lonely eddies)
 # - segment :  ID of a segment within a network (from 1 to N)
-# - previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation (the segment starts)
+# - previous_obs : Index of the previous observation in the full dataset,
+#                  if -1 there are no previous observation (the segment starts)
 # - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)
 # - previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation
 # - next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 5ce36b85..49b44144 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -70,7 +70,7 @@ def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
             theta[i] = arctan2(at1, at2 + s2) * 180 / pi
             # To know where value are set
             m_set[i] = False
-            # To stop partcile advection
+            # To stop particle advection
             m[i0], m[i_n], m[i_e] = True, True, True
 
 
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index dcb15042..f233e70f 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -6,16 +6,20 @@
 from numpy import ma
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_remote_sample
 from py_eddy_tracker.observations.network import NetworkObservations
 
-n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
+n = NetworkObservations.load_file(
+    get_remote_sample(
+        "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
+    )
+)
 # %%
 # Parameters
 step = 1 / 10.0
 bins = ((-10, 37, step), (30, 46, step))
 kw_time = dict(cmap="terrain_r", factor=100.0 / n.nb_days, name="count")
-kw_ratio = dict(cmap=plt.get_cmap("viridis", 10))
+kw_ratio = dict(cmap=plt.get_cmap("YlGnBu_r", 10))
 
 
 # %%
@@ -57,19 +61,17 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % of time")
 
 # %%
-# Display the ratio between the short and total presence.
-#
-# Light = mostly short networks
-ax = start_axes("")
-m = g_10.display(
-    ax,
-    **kw_ratio,
-    vmin=50,
-    vmax=100,
-    name=g_10.vars["count"] * 100.0 / g_all.vars["count"]
-)
+# Ratio
+# ^^^^^
+# Ratio between the longer and total presence
+ax = start_axes("")
+g_ = g_10.vars["count"] * 100.0 / g_all.vars["count"]
+m = g_10.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
+
 # %%
+# Blue = mostly short networks
+#
 # Network longer than 20 days
 # ---------------------------
 # Display the % of time each pixel (1/10°) is within an anticyclonic network
@@ -81,57 +83,34 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % of time")
 
 # %%
-# Display the ratio between the short and total presence.
-#
-# Light = mostly short networks
-ax = start_axes("")
-m = g_20.display(
-    ax,
-    **kw_ratio,
-    vmin=50,
-    vmax=100,
-    name=g_20.vars["count"] * 100.0 / g_all.vars["count"]
-)
+# Ratio
+# ^^^^^
+# Ratio between the longer and total presence
+ax = start_axes("")
+g_ = g_20.vars["count"] * 100.0 / g_all.vars["count"]
+m = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
-# Display the ratio between the short and total presence.
-#
-# Light = mostly short networks
-#
-# Networks shorter than 365 days are masked
-ax = start_axes("")
-m = g_20.display(
-    ax,
-    **kw_ratio,
-    vmin=50,
-    vmax=100,
-    name=ma.array(
-        g_20.vars["count"] * 100.0 / g_all.vars["count"], mask=g_all.vars["count"] < 365
-    )
+# Now we will hide pixel which are used less than 365 times
+g_ = ma.array(
+    g_20.vars["count"] * 100.0 / g_all.vars["count"], mask=g_all.vars["count"] < 365
 )
+ax = start_axes("")
+m = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 # %%
-# Display the ratio between the short and total presence.
-#
-# Networks longer than 365 days are masked
-#
-# # -> Coastal areas are mostly populated by short networks
-ax = start_axes("")
-m = g_20.display(
-    ax,
-    **kw_ratio,
-    vmin=50,
-    vmax=100,
-    name=ma.array(
-        g_20.vars["count"] * 100.0 / g_all.vars["count"],
-        mask=g_all.vars["count"] >= 365,
-    )
+# Now we will hide pixel which are used more than 365 times
+ax = start_axes("")
+g_ = ma.array(
+    g_20.vars["count"] * 100.0 / g_all.vars["count"], mask=g_all.vars["count"] >= 365
 )
+m = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
-
 # %%
+# Coastal areas are mostly populated by short networks
+#
 # All merging
 # -----------
 # Display the occurence of merging events
@@ -143,18 +122,13 @@ def update_axes(ax, mappable=None):
 # %%
 # Ratio merging events / eddy presence
 ax = start_axes("")
-m = g_all_merging.display(
-    ax,
-    **kw_ratio,
-    vmin=0,
-    vmax=5,
-    name=g_all_merging.vars["count"] * 100.0 / g_all.vars["count"]
-)
+g_ = g_all_merging.vars["count"] * 100.0 / g_all.vars["count"]
+m = g_all_merging.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
-# Merging in networks longer than 10 days, with dead end remove (shorter than 5 days)
-# -----------------------------------------------------------------------------------
+# Merging in networks longer than 10 days, with dead end remove (shorter than 10 observations)
+# --------------------------------------------------------------------------------------------
 ax = start_axes("")
 merger = n10.remove_dead_end(nobs=10).merging_event()
 g_10_merging = merger.grid_count(bins)
@@ -170,17 +144,13 @@ def update_axes(ax, mappable=None):
 m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
+# Ratio merging events / eddy presence
 ax = start_axes("")
-m = g_10_merging.display(
-    ax,
-    **kw_ratio,
-    vmin=0,
-    vmax=5,
-    name=ma.array(
-        g_10_merging.vars["count"] * 100.0 / g_10.vars["count"],
-        mask=g_10.vars["count"] < 365,
-    )
+g_ = ma.array(
+    g_10_merging.vars["count"] * 100.0 / g_10.vars["count"],
+    mask=g_10.vars["count"] < 365,
 )
+m = g_10_merging.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
@@ -193,15 +163,10 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % of time")
 
 # %%
-# Ratio merging events / eddy presence
+# Ratio spliting events / eddy presence
 ax = start_axes("")
-m = g_all_spliting.display(
-    ax,
-    **kw_ratio,
-    vmin=0,
-    vmax=5,
-    name=g_all_spliting.vars["count"] * 100.0 / g_all.vars["count"]
-)
+g_ = g_all_spliting.vars["count"] * 100.0 / g_all.vars["count"]
+m = g_all_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
@@ -213,14 +178,9 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
 ax = start_axes("")
-m = g_10_spliting.display(
-    ax,
-    **kw_ratio,
-    vmin=0,
-    vmax=5,
-    name=ma.array(
-        g_10_spliting.vars["count"] * 100.0 / g_10.vars["count"],
-        mask=g_10.vars["count"] < 365,
-    )
+g_ = ma.array(
+    g_10_spliting.vars["count"] * 100.0 / g_10.vars["count"],
+    mask=g_10.vars["count"] < 365,
 )
+m = g_10_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 151366c2..581898d8 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -24,7 +24,7 @@ def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
         content = self.to_html5_video()
         return re.sub(
-            'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
         )
 
     def save(self, *args, **kwargs):
@@ -93,7 +93,7 @@ def get_group_array(self, results, nb_obs):
 
 # %%
 # Get data from period and area
-e = EddiesObservations.load_file(data.get_path("Anticyclonic_seg.nc"))
+e = EddiesObservations.load_file(data.get_path("network_med.nc"))
 e = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(
     dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)
 )
@@ -134,7 +134,7 @@ def update(frame):
 # ----
 fig = plt.figure(figsize=(16, 9), dpi=50)
 ax = fig.add_axes([0, 0, 1, 1])
-ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(32, 36.5)
+ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
 groups = ax.scatter(
     e.lon,
     e.lat,
@@ -145,6 +145,6 @@ def update(frame):
 )
 current_contour = ax.plot([], [], "k", lw=2, label="Current contour")[0]
 matched_contour = ax.plot([], [], "r", lw=1, ls="--", label="Candidate contour")[0]
-txt = ax.text(31.5, 35.5, "", fontsize=25)
+txt = ax.text(29, 35, "", fontsize=25)
 ax.legend(fontsize=25)
 ani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 6ff0b173..f9ab7809 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -3,25 +3,22 @@
 ============
 Figure 10 from https://doi.org/10.1002/2017JC013158
 
+We want to find the Ierapetra Eddy described above in a network demonstration run.
 """
 
 # %%
-# We want to find the Ierapetra Eddy described above in the networks
-
 import re
-
-# %%
 from datetime import datetime, timedelta
 
-import numpy as np
 from matplotlib import colors
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
+from numpy import arange, where
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
-from py_eddy_tracker.data import get_remote_sample
+from py_eddy_tracker.data import get_path
 from py_eddy_tracker.observations.network import NetworkObservations
 
 
@@ -74,23 +71,8 @@ def update_axes(ax, mappable=None):
 
 
 # %%
-# We know the position and the time of a specific eddy
-#
-# `n.extract_with_mask` give us the corresponding network
-n = NetworkObservations.load_file(
-    get_remote_sample(
-        "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
-    )
-)
-i = np.where(
-    (n.lat > 33)
-    * (n.lat < 34)
-    * (n.lon > 22)
-    * (n.lon < 23)
-    * (n.time > 20630)
-    * (n.time < 20650)
-)[0][0]
-ioannou_case = n.extract_with_mask(n.track == n.track[i])
+# We know the network ID, we will get directly
+ioannou_case = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
 print(ioannou_case.infos())
 
 # %%
@@ -113,7 +95,7 @@ def update_axes(ax, mappable=None):
 # Sub network and new numbering
 # -----------------------------
 # Here we chose to keep only the order 3 segments relatives to our chosen eddy
-i = np.where(
+i = where(
     (ioannou_case.lat > 33)
     * (ioannou_case.lat < 34)
     * (ioannou_case.lon > 22)
@@ -128,22 +110,22 @@ def update_axes(ax, mappable=None):
 # Anim
 # ----
 # Quick movie to see better!
-cmap = colors.ListedColormap(
-    list(close_to_i3.COLORS), name="from_list", N=close_to_i3.segment.max()
-)
 a = Anim(
     close_to_i3,
     figsize=(12, 4),
-    cmap=cmap,
+    cmap=colors.ListedColormap(
+        list(close_to_i3.COLORS), name="from_list", N=close_to_i3.segment.max() + 1
+    ),
     nb_step=7,
-    dpi=80,
+    dpi=70,
     field_color="segment",
     field_txt="segment",
 )
 a.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)
 a.ax.update_env()
 a.txt.set_position((21.5, 32.7))
-kwargs = dict(frames=np.arange(*a.period), interval=100)
+# We display in video only from the 100th day to the 500th
+kwargs = dict(frames=arange(*a.period)[100:501], interval=100)
 ani = VideoAnimation(a.fig, a.func_animation, **kwargs)
 
 # %%
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 9993104c..4d62987f 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -2,31 +2,30 @@
 Network basic manipulation
 ==========================
 """
-
-import datetime
-
 from matplotlib import pyplot as plt
-from matplotlib.ticker import FuncFormatter
+from numpy import where
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import data
 from py_eddy_tracker.observations.network import NetworkObservations
-from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
 # %%
 # Load data
 # ---------
 # Load data where observations are put in same network but no segmentation
-e = TrackEddiesObservations.load_file(data.get_path("c568803.nc"))
-# FIXME : Must be rewrote
-e.lon[:] = (e.lon + 180) % 360 - 180
-e.contour_lon_e[:] = ((e.contour_lon_e.T - e.lon + 180) % 360 - 180 + e.lon).T
-e.contour_lon_s[:] = ((e.contour_lon_s.T - e.lon + 180) % 360 - 180 + e.lon).T
-# %%
-# Do segmentation
-# ---------------
-# Segmentation based on maximum overlap, temporal window for candidates = 5 days
-n = NetworkObservations.from_split_network(e, e.split_network(intern=False, window=5))
+n = NetworkObservations.load_file(data.get_path("network_med.nc")).network(651)
+i = where(
+    (n.lat > 33)
+    * (n.lat < 34)
+    * (n.lon > 22)
+    * (n.lon < 23)
+    * (n.time > 20630)
+    * (n.time < 20650)
+)[0][0]
+# For event use
+n2 = n.relative(i, order=2)
+n = n.relative(i, order=4)
+n.numbering_segment()
 
 # %%
 # Timeline
@@ -37,13 +36,13 @@
 # A segment generated by a splitting is marked with a star
 #
 # A segment merging in another is marked with an exagon
-fig = plt.figure(figsize=(15, 5))
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
 _ = n.display_timeline(ax)
 
 # %%
 # Display timeline without event
-fig = plt.figure(figsize=(15, 5))
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.04, 0.92, 0.92])
 _ = n.display_timeline(ax, event=False)
 
@@ -89,7 +88,7 @@
 #
 # Effective Radius and Amplitude
 kw = dict(s=25, cmap="Spectral_r", zorder=10)
-fig = plt.figure(figsize=(15, 8))
+fig = plt.figure(figsize=(15, 12))
 ax = fig.add_axes([0.04, 0.54, 0.90, 0.44])
 m = n.scatter_timeline(ax, "radius_e", factor=1e-3, vmin=50, vmax=150, **kw)
 cb = plt.colorbar(
@@ -106,7 +105,7 @@
 
 # %%
 # Speed
-fig = plt.figure(figsize=(15, 5))
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(ax, "speed_average", factor=100, vmin=0, vmax=40, **kw)
 cb = plt.colorbar(
@@ -116,7 +115,7 @@
 
 # %%
 # Speed Radius
-fig = plt.figure(figsize=(15, 5))
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(ax, "radius_s", factor=1e-3, vmin=20, vmax=100, **kw)
 cb = plt.colorbar(
@@ -128,12 +127,8 @@
 # Remove dead branch
 # ------------------
 # Remove all tiny segments with less than N obs which didn't join two segments
-#
-# .. warning::
-#     Must be explore, no solution to solve all cases
-
-n_clean = n.remove_dead_end(nobs=10)
-fig = plt.figure(figsize=(15, 8))
+n_clean = n.remove_dead_end(nobs=5, ndays=10)
+fig = plt.figure(figsize=(15, 12))
 ax = fig.add_axes([0.04, 0.54, 0.90, 0.40])
 ax.set_title(f"Original network ({n.infos()})")
 n.display_timeline(ax)
@@ -141,23 +136,28 @@
 ax.set_title(f"Clean network ({n_clean.infos()})")
 _ = n_clean.display_timeline(ax)
 
+# %%
+# For further figure we will use clean path
+n = n_clean
+
 # %%
 # Keep close relative
 # -------------------
 # When you want to investigate one particular observation and select only the closest segments
-#
+
 # First choose an observation in the network
-fig = plt.figure(figsize=(15, 5))
+i = 1100
+
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 n.display_timeline(ax)
-i = 1100
 obs_args = n.time[i], n.segment[i]
 obs_kw = dict(color="black", markersize=30, marker=".")
 _ = ax.plot(*obs_args, **obs_kw)
 
 # %%
 # Colors show the relative order of the segment with regards to the chosen one
-fig = plt.figure(figsize=(15, 5))
+fig = plt.figure(figsize=(15, 6))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88])
 m = n.scatter_timeline(
     ax, n.obs_relative_order(i), vmin=-1.5, vmax=6.5, cmap=plt.get_cmap("jet", 8), s=10
@@ -194,50 +194,46 @@
 # --------------------------
 # When you want to investigate one particular event and select only the closest segments
 #
-# First choose an event in the network
+# First choose a merging event in the network
 after, before, stopped = n.merging_event(triplet=True, only_index=True)
-i_event = 5
+i_event = 7
 # %%
 # then see some order of relatives
 
-
-@FuncFormatter
-def formatter(x, pos):
-    return (datetime.timedelta(x) + datetime.datetime(1950, 1, 1)).strftime("%d/%m/%Y")
-
-
-max_order = 2
+max_order = 1
 fig, axs = plt.subplots(
     max_order + 2, 1, sharex=True, figsize=(15, 5 * (max_order + 2))
 )
-
-axs[0].set_title("full network", weight="bold")
-axs[0].xaxis.set_major_formatter(formatter), axs[0].grid()
-mappables = n.display_timeline(axs[0], colors_mode="y")
-axs[0].legend()
+# Original network
+ax = axs[0]
+ax.set_title("Full network", weight="bold")
+n.display_timeline(axs[0], colors_mode="y")
+ax.grid(), ax.legend()
 
 for k in range(0, max_order + 1):
     ax = axs[k + 1]
+    ax.set_title(f"Relatives order={k}", weight="bold")
+    # Extract neighbours of event
     sub_network = n.find_segments_relative(after[i_event], stopped[i_event], order=k)
-
-    ax.set_title(f"relatives order={k}", weight="bold")
-    ax.xaxis.set_major_formatter(formatter), ax.grid()
-
-    mappables = sub_network.display_timeline(ax, colors_mode="y")
-    ax.legend()
+    sub_network.display_timeline(ax, colors_mode="y")
+    ax.legend(), ax.grid()
     _ = ax.set_ylim(axs[0].get_ylim())
 
-
 # %%
 # Display track on map
 # --------------------
+
+# Get a simplified network
+n = n2.remove_dead_end(nobs=50, recursive=1)
+n.numbering_segment()
+# %%
 # Only a map can be tricky to understand, with a timeline it's easier!
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
-close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
-ax.set_xlim(-13, 20), ax.set_ylim(-36.5, -20), ax.grid()
-ax = fig.add_axes([0.08, 0.67, 0.55, 0.3])
-_ = close_to_i2.display_timeline(ax, field="latitude")
+n.plot(ax, color_cycle=n.COLORS)
+ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
+ax = fig.add_axes([0.08, 0.7, 0.7, 0.3])
+_ = n.display_timeline(ax)
 
 
 # %%
@@ -246,8 +242,8 @@ def formatter(x, pos):
 # Display the position of the eddies after a merging
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
-m1, m0, m0_stop = close_to_i2.merging_event(triplet=True)
+n.plot(ax, color_cycle=n.COLORS)
+m1, m0, m0_stop = n.merging_event(triplet=True)
 m1.display(ax, color="violet", lw=2, label="Eddies after merging")
 m0.display(ax, color="blueviolet", lw=2, label="Eddies before merging")
 m0_stop.display(ax, color="black", lw=2, label="Eddies stopped by merging")
@@ -255,7 +251,7 @@ def formatter(x, pos):
 ax.plot(m0.lon, m0.lat, marker=".", color="blueviolet", ls="")
 ax.plot(m0_stop.lon, m0_stop.lat, marker=".", color="black", ls="")
 ax.legend()
-ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 m1
 
 
@@ -265,8 +261,8 @@ def formatter(x, pos):
 # Display the position of the eddies before a splitting
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-close_to_i2.plot(ax, color_cycle=close_to_i2.COLORS)
-s0, s1, s1_start = close_to_i2.spliting_event(triplet=True)
+n.plot(ax, color_cycle=n.COLORS)
+s0, s1, s1_start = n.spliting_event(triplet=True)
 s0.display(ax, color="violet", lw=2, label="Eddies before splitting")
 s1.display(ax, color="blueviolet", lw=2, label="Eddies after splitting")
 s1_start.display(ax, color="black", lw=2, label="Eddies starting by splitting")
@@ -274,7 +270,7 @@ def formatter(x, pos):
 ax.plot(s1.lon, s1.lat, marker=".", color="blueviolet", ls="")
 ax.plot(s1_start.lon, s1_start.lat, marker=".", color="black", ls="")
 ax.legend()
-ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 s1
 
 # %%
@@ -283,9 +279,9 @@ def formatter(x, pos):
 # Display the starting position of non-splitted eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-birth = close_to_i2.birth_event()
+birth = n.birth_event()
 birth.display(ax)
-ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 birth
 
 # %%
@@ -294,7 +290,7 @@ def formatter(x, pos):
 # Display the last position of non-merged eddies
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
-death = close_to_i2.death_event()
+death = n.death_event()
 death.display(ax)
-ax.set_xlim(-10, 20), ax.set_ylim(-37, -21), ax.grid()
+ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 death
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 92b448b4..5f5dec45 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -3,17 +3,13 @@
 ===================
 Case from figure 10 from https://doi.org/10.1002/2017JC013158
 
+Again with the Ierapetra Eddy
 """
-
-# %%
-# Again with the Ierapetra Eddy
-
 from datetime import datetime, timedelta
 
-import numpy as np
 from matplotlib import pyplot as plt
-from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
+from numpy import where
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_path
@@ -21,23 +17,6 @@
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
 
-# %%
-# Function used to do quick display
-class VideoAnimation(FuncAnimation):
-    def _repr_html_(self, *args, **kwargs):
-        """To get video in html and have a player"""
-        return self.to_html5_video()
-
-    def save(self, *args, **kwargs):
-        if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
-            # So we create an empty file, to save time
-            with open(args[0], "w") as _:
-                pass
-            return
-        return super().save(*args, **kwargs)
-
-
 @FuncFormatter
 def formatter(x, pos):
     return (timedelta(x) + datetime(1950, 1, 1)).strftime("%d/%m/%Y")
@@ -93,12 +72,6 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
             ids["next_obs"][i_next] = i_next_
             # Target was previously used
             if used[i_next_]:
-                # if ids["next_cost"][i_next] == ids["previous_cost"][i_next_]:
-                #     print(ids[i_next])
-                #     print(ids[i_next_])
-                #     m = ids["track"][i_next_:] == ids["track"][i_next_]
-                #     ids["track"][i_next_:][m] = track_id
-                #     ids["previous_obs"][i_next_] = i_next
                 i_next_ = -1
             else:
                 ids["previous_obs"][i_next_] = i_next
@@ -107,7 +80,7 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
 
 def get_obs(dataset):
     "Function to isolate a specific obs"
-    return np.where(
+    return where(
         (dataset.lat > 33)
         * (dataset.lat < 34)
         * (dataset.lon > 22)
@@ -119,9 +92,7 @@ def get_obs(dataset):
 
 # %%
 # Get original network, we will isolate only relative at order *2*
-n = NetworkObservations.load_file(get_path("Anticyclonic_seg.nc"))
-
-n = n.extract_with_mask(n.track == n.track[get_obs(n)])
+n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
 n_ = n.relative(get_obs(n), order=2)
 
 # %%
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 360ccedf..652c6b4e 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -8,10 +8,11 @@
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.colors import ListedColormap
-from numpy import ones
+from numpy import ones, where
 
 import py_eddy_tracker.gui
-from py_eddy_tracker import data
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
 
@@ -21,7 +22,7 @@ def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
         content = self.to_html5_video()
         return re.sub(
-            'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
         )
 
     def save(self, *args, **kwargs):
@@ -34,6 +35,18 @@ def save(self, *args, **kwargs):
         return super().save(*args, **kwargs)
 
 
+def get_obs(dataset):
+    "Function to isolate a specific obs"
+    return where(
+        (dataset.lat > 33)
+        * (dataset.lat < 34)
+        * (dataset.lon > 22)
+        * (dataset.lon < 23)
+        * (dataset.time > 20630)
+        * (dataset.time < 20650)
+    )[0][0]
+
+
 # %%
 # Overlaod of class to pick up
 TRACKS = list()
@@ -54,11 +67,16 @@ def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
 # Load data
 # ---------
 # Load data where observations are put in same network but no segmentation
-e = MyTrack.load_file(data.get_path("c568803.nc"))
-# FIXME : Must be rewrote
-e.lon[:] = (e.lon + 180) % 360 - 180
-e.contour_lon_e[:] = ((e.contour_lon_e.T - e.lon + 180) % 360 - 180 + e.lon).T
-e.contour_lon_s[:] = ((e.contour_lon_s.T - e.lon + 180) % 360 - 180 + e.lon).T
+
+# Get a known network for the demonstration
+n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+# We keep only some segment
+n = n.relative(get_obs(n), order=2)
+print(len(n))
+# We convert and order object like segmentation was never happen on observations
+e = n.astype(MyTrack)
+e.obs.sort(order=("track", "time"), kind="stable")
+
 # %%
 # Do segmentation
 # ---------------
@@ -85,10 +103,10 @@ def update(i_frame):
     return (mappable_tracks,)
 
 
-fig = plt.figure(figsize=(15, 8), dpi=60)
+fig = plt.figure(figsize=(16, 9), dpi=60)
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 ax.set_title(f"{len(e)} observations to segment")
-ax.set_xlim(-13, 20), ax.set_ylim(-36.5, -20), ax.grid()
+ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
 vmax = TRACKS[-1].max()
 cmap = ListedColormap(["gray", *e.COLORS[:-1]], name="from_list", N=vmax)
 mappable_tracks = ax.scatter(
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index 35a07dfd..697a8c25 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll files have the same structure, with more or less fields and possible different order.\n\nThere are 3 class of files:\n\n- **Eddies collections** : contain a list of eddies without link between them\n- **Track eddies collections** : manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory\n- **Network eddies collections** : manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations\n"
+        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll files have the same structure, with more or less fields and possible different order.\n\nThere are 3 class of files:\n\n- **Eddies collections** : contain a list of eddies without link between them\n- **Track eddies collections** :\n   manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory\n- **Network eddies collections** :\n   manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations\n"
       ]
     },
     {
@@ -112,7 +112,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Trajectories\nTracks eddies collections add several fields :\n\n- **track** : Trajectory number\n- **observation_flag** : Flag indicating if the value is interpolated between two observations or not (0: observed eddy, 1: interpolated eddy)\"\n- **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection\n- **cost_association** : result of the cost function to associate the eddy with the next observation\n\n"
+        "## Trajectories\nTracks eddies collections add several fields :\n\n- **track** : Trajectory number\n- **observation_flag** : Flag indicating if the value is interpolated between two observations or not\n                         (0: observed eddy, 1: interpolated eddy)\"\n- **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection\n- **cost_association** : result of the cost function to associate the eddy with the next observation\n\n"
       ]
     },
     {
@@ -130,7 +130,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Networks\nNetwork files use some specific fields :\n\n- track :  ID of network (ID 0 correspond to lonely eddies)\n- segment :  ID of a segment within a network (from 1 to N)\n- previous_obs : Index of the previous observation in the full dataset, if -1 there are no previous observation (the segment starts)\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)\n- previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation\n- next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation\n\n"
+        "## Networks\nNetwork files use some specific fields :\n\n- track :  ID of network (ID 0 correspond to lonely eddies)\n- segment :  ID of a segment within a network (from 1 to N)\n- previous_obs : Index of the previous observation in the full dataset,\n                 if -1 there are no previous observation (the segment starts)\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)\n- previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation\n- next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index 2dcba12d..09bb9df0 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop partcile advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
+        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop particle advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_atlas.ipynb b/notebooks/python_module/16_network/pet_atlas.ipynb
new file mode 100644
index 00000000..59a84a6f
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_atlas.ipynb
@@ -0,0 +1,371 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Network Analysis\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numpy import ma\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nn = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Parameters\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 1 / 10.0\nbins = ((-10, 37, step), (30, 46, step))\nkw_time = dict(cmap=\"terrain_r\", factor=100.0 / n.nb_days, name=\"count\")\nkw_ratio = dict(cmap=plt.get_cmap(\"YlGnBu_r\", 10))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Functions\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    ax.update_env()\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## All\nDisplay the % of time each pixel (1/10\u00b0) is within an anticyclonic network\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_all = n.grid_count(bins)\nm = g_all.display(ax, **kw_time, vmin=0, vmax=75)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Network longer than 10 days\nDisplay the % of time each pixel (1/10\u00b0) is within an anticyclonic network\nwhich total lifetime in longer than 10 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\nn10 = n.longer_than(10)\ng_10 = n10.grid_count(bins)\nm = g_10.display(ax, **kw_time, vmin=0, vmax=75)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Ratio\nRatio between the longer and total presence\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = g_10.vars[\"count\"] * 100.0 / g_all.vars[\"count\"]\nm = g_10.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Blue = mostly short networks\n\n## Network longer than 20 days\nDisplay the % of time each pixel (1/10\u00b0) is within an anticyclonic network\nwhich total lifetime is longer than 20 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\nn20 = n.longer_than(20)\ng_20 = n20.grid_count(bins)\nm = g_20.display(ax, **kw_time, vmin=0, vmax=75)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Ratio\nRatio between the longer and total presence\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = g_20.vars[\"count\"] * 100.0 / g_all.vars[\"count\"]\nm = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now we will hide pixel which are used less than 365 times\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "g_ = ma.array(\n    g_20.vars[\"count\"] * 100.0 / g_all.vars[\"count\"], mask=g_all.vars[\"count\"] < 365\n)\nax = start_axes(\"\")\nm = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now we will hide pixel which are used more than 365 times\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = ma.array(\n    g_20.vars[\"count\"] * 100.0 / g_all.vars[\"count\"], mask=g_all.vars[\"count\"] >= 365\n)\nm = g_20.display(ax, **kw_ratio, vmin=50, vmax=100, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Coastal areas are mostly populated by short networks\n\n## All merging\nDisplay the occurence of merging events\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_all_merging = n.merging_event().grid_count(bins)\nm = g_all_merging.display(ax, **kw_time, vmin=0, vmax=1)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Ratio merging events / eddy presence\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = g_all_merging.vars[\"count\"] * 100.0 / g_all.vars[\"count\"]\nm = g_all_merging.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Merging in networks longer than 10 days, with dead end remove (shorter than 10 observations)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\nmerger = n10.remove_dead_end(nobs=10).merging_event()\ng_10_merging = merger.grid_count(bins)\nm = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Merging in networks longer than 10 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\nmerger = n10.merging_event()\ng_10_merging = merger.grid_count(bins)\nm = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Ratio merging events / eddy presence\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = ma.array(\n    g_10_merging.vars[\"count\"] * 100.0 / g_10.vars[\"count\"],\n    mask=g_10.vars[\"count\"] < 365,\n)\nm = g_10_merging.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## All Spliting\nDisplay the occurence of spliting events\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_all_spliting = n.spliting_event().grid_count(bins)\nm = g_all_spliting.display(ax, **kw_time, vmin=0, vmax=1)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Ratio spliting events / eddy presence\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = g_all_spliting.vars[\"count\"] * 100.0 / g_all.vars[\"count\"]\nm = g_all_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Spliting in networks longer than 10 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_10_spliting = n10.spliting_event().grid_count(bins)\nm = g_10_spliting.display(ax, **kw_time, vmin=0, vmax=1)\nupdate_axes(ax, m).set_label(\"Pixel used in % of time\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"\")\ng_ = ma.array(\n    g_10_spliting.vars[\"count\"] * 100.0 / g_10.vars[\"count\"],\n    mask=g_10.vars[\"count\"] < 365,\n)\nm = g_10_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)\nupdate_axes(ax, m).set_label(\"Pixel used in % all atlas\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
new file mode 100644
index 00000000..1400da0e
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -0,0 +1,195 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Network group process\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "NETWORK_GROUPS = list()\n\n\n@njit(cache=True)\ndef apply_replace(x, x0, x1):\n    nb = x.shape[0]\n    for i in range(nb):\n        if x[i] == x0:\n            x[i] = x1"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Modified class to catch group process at each step in order to illustrate processing\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class MyNetwork(Network):\n    def get_group_array(self, results, nb_obs):\n        \"\"\"With a loop on all pair of index, we will label each obs with a group\n        number\n        \"\"\"\n        nb_obs = array(nb_obs, dtype=\"u4\")\n        day_start = nb_obs.cumsum() - nb_obs\n        gr = empty(nb_obs.sum(), dtype=\"u4\")\n        gr[:] = self.NOGROUP\n\n        id_free = 1\n        for i, j, ii, ij in results:\n            gr_i = gr[slice(day_start[i], day_start[i] + nb_obs[i])]\n            gr_j = gr[slice(day_start[j], day_start[j] + nb_obs[j])]\n            # obs with no groups\n            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] == self.NOGROUP)\n            nb_new = m.sum()\n            gr_i[ii[m]] = gr_j[ij[m]] = arange(id_free, id_free + nb_new)\n            id_free += nb_new\n            # associate obs with no group with obs with group\n            m = (gr_i[ii] != self.NOGROUP) * (gr_j[ij] == self.NOGROUP)\n            gr_j[ij[m]] = gr_i[ii[m]]\n            m = (gr_i[ii] == self.NOGROUP) * (gr_j[ij] != self.NOGROUP)\n            gr_i[ii[m]] = gr_j[ij[m]]\n            # case where 2 obs have a different group\n            m = gr_i[ii] != gr_j[ij]\n            if m.any():\n                # Merge of group, ref over etu\n                for i_, j_ in zip(ii[m], ij[m]):\n                    g0, g1 = gr_i[i_], gr_j[j_]\n                    apply_replace(gr, g0, g1)\n            NETWORK_GROUPS.append((i, j, gr.copy()))\n        return gr"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Movie period\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "t0 = (datetime(2005, 5, 1) - datetime(1950, 1, 1)).days\nt1 = (datetime(2005, 6, 1) - datetime(1950, 1, 1)).days"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get data from period and area\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "e = EddiesObservations.load_file(data.get_path(\"network_med.nc\"))\ne = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(\n    dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Reproduce individual daily identification(for demonstration)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "EDDIES_BY_DAYS = list()\nfor i, b0, b1 in e.iter_on(\"time\"):\n    EDDIES_BY_DAYS.append(e.index(i))\n# need for display\ne = EddiesObservations.concatenate(EDDIES_BY_DAYS)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Run network building group to intercept every step\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = MyNetwork.from_eddiesobservations(EDDIES_BY_DAYS, window=7)\n_ = n.group_observations(minimal_area=True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def update(frame):\n    i_current, i_match, gr = NETWORK_GROUPS[frame]\n    current = EDDIES_BY_DAYS[i_current]\n    x = flatten_line_matrix(current.contour_lon_e)\n    y = flatten_line_matrix(current.contour_lat_e)\n    current_contour.set_data(x, y)\n    match = EDDIES_BY_DAYS[i_match]\n    x = flatten_line_matrix(match.contour_lon_e)\n    y = flatten_line_matrix(match.contour_lat_e)\n    matched_contour.set_data(x, y)\n    groups.set_array(gr)\n    txt.set_text(f\"Day {i_current} match with day {i_match}\")\n    s = 80 * ones(gr.shape)\n    s[gr == 0] = 4\n    groups.set_sizes(s)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anim\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(16, 9), dpi=50)\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\ngroups = ax.scatter(\n    e.lon,\n    e.lat,\n    c=NETWORK_GROUPS[0][2],\n    cmap=ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=30),\n    vmin=0,\n    vmax=30,\n)\ncurrent_contour = ax.plot([], [], \"k\", lw=2, label=\"Current contour\")[0]\nmatched_contour = ax.plot([], [], \"r\", lw=1, ls=\"--\", label=\"Candidate contour\")[0]\ntxt = ax.text(29, 35, \"\", fontsize=25)\nax.legend(fontsize=25)\nani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 9855fc85..3cb3e6b6 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -15,25 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Ioannou case\nFigure 10 from https://doi.org/10.1002/2017JC013158\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We want to find the Ierapetra Eddy described above in the networks\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import re"
+        "\n# Ioannou case\nFigure 10 from https://doi.org/10.1002/2017JC013158\n\nWe want to find the Ierapetra Eddy described above in a network demonstration run.\n"
       ]
     },
     {
@@ -44,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime, timedelta\n\nimport numpy as np\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations"
       ]
     },
     {
@@ -62,7 +44,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We know the position and the time of a specific eddy\n\n`n.extract_with_mask` give us the corresponding network\n\n"
+        "We know the network ID, we will get directly\n\n"
       ]
     },
     {
@@ -73,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "n = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\ni = np.where(\n    (n.lat > 33)\n    * (n.lat < 34)\n    * (n.lon > 22)\n    * (n.lon < 23)\n    * (n.time > 20630)\n    * (n.time < 20650)\n)[0][0]\nioannou_case = n.extract_with_mask(n.track == n.track[i])\nprint(ioannou_case.infos())"
+        "ioannou_case = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nprint(ioannou_case.infos())"
       ]
     },
     {
@@ -127,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "i = np.where(\n    (ioannou_case.lat > 33)\n    * (ioannou_case.lat < 34)\n    * (ioannou_case.lon > 22)\n    * (ioannou_case.lon < 23)\n    * (ioannou_case.time > 20630)\n    * (ioannou_case.time < 20650)\n)[0][0]\nclose_to_i3 = ioannou_case.relative(i, order=3)\nclose_to_i3.numbering_segment()"
+        "i = where(\n    (ioannou_case.lat > 33)\n    * (ioannou_case.lat < 34)\n    * (ioannou_case.lon > 22)\n    * (ioannou_case.lon < 23)\n    * (ioannou_case.time > 20630)\n    * (ioannou_case.time < 20650)\n)[0][0]\nclose_to_i3 = ioannou_case.relative(i, order=3)\nclose_to_i3.numbering_segment()"
       ]
     },
     {
@@ -145,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "cmap = colors.ListedColormap(\n    list(close_to_i3.COLORS), name=\"from_list\", N=close_to_i3.segment.max()\n)\na = Anim(\n    close_to_i3,\n    figsize=(12, 4),\n    cmap=cmap,\n    nb_step=7,\n    dpi=80,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n)\na.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)\na.ax.update_env()\na.txt.set_position((21.5, 32.7))\nkwargs = dict(frames=np.arange(*a.period), interval=100)\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
+        "a = Anim(\n    close_to_i3,\n    figsize=(12, 4),\n    cmap=colors.ListedColormap(\n        list(close_to_i3.COLORS), name=\"from_list\", N=close_to_i3.segment.max() + 1\n    ),\n    nb_step=7,\n    dpi=70,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n)\na.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)\na.ax.update_env()\na.txt.set_position((21.5, 32.7))\n# We display in video only from the 100th day to the 500th\nkwargs = dict(frames=arange(*a.period)[100:501], interval=100)\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_relative.ipynb b/notebooks/python_module/16_network/pet_relative.ipynb
new file mode 100644
index 00000000..e8252900
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_relative.ipynb
@@ -0,0 +1,511 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Network basic manipulation\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Load data\nLoad data where observations are put in same network but no segmentation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = NetworkObservations.load_file(data.get_path(\"network_med.nc\")).network(651)\ni = where(\n    (n.lat > 33)\n    * (n.lat < 34)\n    * (n.lon > 22)\n    * (n.lon < 23)\n    * (n.time > 20630)\n    * (n.time < 20650)\n)[0][0]\n# For event use\nn2 = n.relative(i, order=2)\nn = n.relative(i, order=4)\nn.numbering_segment()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Timeline\n\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display timeline with events\nA segment generated by a splitting is marked with a star\n\nA segment merging in another is marked with an exagon\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.04, 0.92, 0.92])\n_ = n.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display timeline without event\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.04, 0.92, 0.92])\n_ = n.display_timeline(ax, event=False)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Timeline by mean latitude\nDisplay timeline with the mean latitude of the segments in yaxis\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.04, 0.92, 0.92])\nax.set_ylabel(\"Latitude\")\n_ = n.display_timeline(ax, field=\"latitude\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Timeline by mean Effective Radius\nThe factor argument is applied on the chosen field\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.04, 0.92, 0.92])\nax.set_ylabel(\"Effective Radius (km)\")\n_ = n.display_timeline(ax, field=\"radius_e\", factor=1e-3)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Timeline by latitude\nUse `method=\"all\"` to display the consecutive values of the field\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.05, 0.92, 0.92])\nax.set_ylabel(\"Latitude\")\n_ = n.display_timeline(ax, field=\"lat\", method=\"all\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "You can filter the data, here with a time window of 15 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.05, 0.92, 0.92])\nn_copy = n.copy()\nn_copy.median_filter(15, \"time\", \"latitude\")\n_ = n_copy.display_timeline(ax, field=\"lat\", method=\"all\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Parameters timeline\nScatter is usefull to display the parameters' temporal evolution\n\nEffective Radius and Amplitude\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw = dict(s=25, cmap=\"Spectral_r\", zorder=10)\nfig = plt.figure(figsize=(15, 12))\nax = fig.add_axes([0.04, 0.54, 0.90, 0.44])\nm = n.scatter_timeline(ax, \"radius_e\", factor=1e-3, vmin=50, vmax=150, **kw)\ncb = plt.colorbar(\n    m[\"scatter\"], cax=fig.add_axes([0.95, 0.54, 0.01, 0.44]), orientation=\"vertical\"\n)\ncb.set_label(\"Effective radius (km)\")\n\nax = fig.add_axes([0.04, 0.04, 0.90, 0.44])\nm = n.scatter_timeline(ax, \"amplitude\", factor=100, vmin=0, vmax=15, **kw)\ncb = plt.colorbar(\n    m[\"scatter\"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.44]), orientation=\"vertical\"\n)\ncb.set_label(\"Amplitude (cm)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Speed\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nm = n.scatter_timeline(ax, \"speed_average\", factor=100, vmin=0, vmax=40, **kw)\ncb = plt.colorbar(\n    m[\"scatter\"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation=\"vertical\"\n)\ncb.set_label(\"Maximum speed (cm/s)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Speed Radius\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nm = n.scatter_timeline(ax, \"radius_s\", factor=1e-3, vmin=20, vmax=100, **kw)\ncb = plt.colorbar(\n    m[\"scatter\"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation=\"vertical\"\n)\ncb.set_label(\"Speed radius (km)\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Remove dead branch\nRemove all tiny segments with less than N obs which didn't join two segments\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n_clean = n.remove_dead_end(nobs=5, ndays=10)\nfig = plt.figure(figsize=(15, 12))\nax = fig.add_axes([0.04, 0.54, 0.90, 0.40])\nax.set_title(f\"Original network ({n.infos()})\")\nn.display_timeline(ax)\nax = fig.add_axes([0.04, 0.04, 0.90, 0.40])\nax.set_title(f\"Clean network ({n_clean.infos()})\")\n_ = n_clean.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "For further figure we will use clean path\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = n_clean"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Keep close relative\nWhen you want to investigate one particular observation and select only the closest segments\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# First choose an observation in the network\ni = 1100\n\nfig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nn.display_timeline(ax)\nobs_args = n.time[i], n.segment[i]\nobs_kw = dict(color=\"black\", markersize=30, marker=\".\")\n_ = ax.plot(*obs_args, **obs_kw)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Colors show the relative order of the segment with regards to the chosen one\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 6))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nm = n.scatter_timeline(\n    ax, n.obs_relative_order(i), vmin=-1.5, vmax=6.5, cmap=plt.get_cmap(\"jet\", 8), s=10\n)\nax.plot(*obs_args, **obs_kw)\ncb = plt.colorbar(\n    m[\"scatter\"], cax=fig.add_axes([0.95, 0.04, 0.01, 0.92]), orientation=\"vertical\"\n)\ncb.set_label(\"Relative order\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "You want to keep only the segments at the order 1\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nclose_to_i1 = n.relative(i, order=1)\nax.set_title(f\"Close segments ({close_to_i1.infos()})\")\n_ = close_to_i1.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "You want to keep the segments until order 2\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nclose_to_i2 = n.relative(i, order=2)\nax.set_title(f\"Close segments ({close_to_i2.infos()})\")\n_ = close_to_i2.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "You want to keep the segments until order 3\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88])\nclose_to_i3 = n.relative(i, order=3)\nax.set_title(f\"Close segments ({close_to_i3.infos()})\")\n_ = close_to_i3.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Keep relatives to an event\nWhen you want to investigate one particular event and select only the closest segments\n\nFirst choose a merging event in the network\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "after, before, stopped = n.merging_event(triplet=True, only_index=True)\ni_event = 7"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "then see some order of relatives\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "max_order = 1\nfig, axs = plt.subplots(\n    max_order + 2, 1, sharex=True, figsize=(15, 5 * (max_order + 2))\n)\n# Original network\nax = axs[0]\nax.set_title(\"Full network\", weight=\"bold\")\nn.display_timeline(axs[0], colors_mode=\"y\")\nax.grid(), ax.legend()\n\nfor k in range(0, max_order + 1):\n    ax = axs[k + 1]\n    ax.set_title(f\"Relatives order={k}\", weight=\"bold\")\n    # Extract neighbours of event\n    sub_network = n.find_segments_relative(after[i_event], stopped[i_event], order=k)\n    sub_network.display_timeline(ax, colors_mode=\"y\")\n    ax.legend(), ax.grid()\n    _ = ax.set_ylim(axs[0].get_ylim())"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Display track on map\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Get a simplified network\nn = n2.remove_dead_end(nobs=50, recursive=1)\nn.numbering_segment()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Only a map can be tricky to understand, with a timeline it's easier!\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nax = fig.add_axes([0.08, 0.7, 0.7, 0.3])\n_ = n.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Get merging event\nDisplay the position of the eddies after a merging\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\nm1, m0, m0_stop = n.merging_event(triplet=True)\nm1.display(ax, color=\"violet\", lw=2, label=\"Eddies after merging\")\nm0.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies before merging\")\nm0_stop.display(ax, color=\"black\", lw=2, label=\"Eddies stopped by merging\")\nax.plot(m1.lon, m1.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(m0.lon, m0.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(m0_stop.lon, m0_stop.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nm1"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Get spliting event\nDisplay the position of the eddies before a splitting\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\ns0, s1, s1_start = n.spliting_event(triplet=True)\ns0.display(ax, color=\"violet\", lw=2, label=\"Eddies before splitting\")\ns1.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies after splitting\")\ns1_start.display(ax, color=\"black\", lw=2, label=\"Eddies starting by splitting\")\nax.plot(s0.lon, s0.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(s1.lon, s1.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(s1_start.lon, s1_start.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ns1"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Get birth event\nDisplay the starting position of non-splitted eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nbirth = n.birth_event()\nbirth.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nbirth"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Get death event\nDisplay the last position of non-merged eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\ndeath = n.death_event()\ndeath.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ndeath"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
new file mode 100644
index 00000000..5715f6e3
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
@@ -0,0 +1,180 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Replay segmentation\nCase from figure 10 from https://doi.org/10.1002/2017JC013158\n\nAgain with the Ierapetra Eddy\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    ax.update_env()\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Class for new_segmentation\nThe oldest win\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class MyTrackEddiesObservations(TrackEddiesObservations):\n    __slots__ = tuple()\n\n    @classmethod\n    def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):\n        \"\"\"\n        Method to overwrite behaviour in merging.\n\n        We will give the point to the older one instead of the maximum overlap ratio\n        \"\"\"\n        while i_next != -1:\n            # Flag\n            used[i_next] = True\n            # Assign id\n            ids[\"track\"][i_next] = track_id\n            # Search next\n            i_next_ = cls.get_next_obs(i_next, ids, *args, **kwargs)\n            if i_next_ == -1:\n                break\n            ids[\"next_obs\"][i_next] = i_next_\n            # Target was previously used\n            if used[i_next_]:\n                i_next_ = -1\n            else:\n                ids[\"previous_obs\"][i_next_] = i_next\n            i_next = i_next_\n\n\ndef get_obs(dataset):\n    \"Function to isolate a specific obs\"\n    return where(\n        (dataset.lat > 33)\n        * (dataset.lat < 34)\n        * (dataset.lon > 22)\n        * (dataset.lon < 23)\n        * (dataset.time > 20630)\n        * (dataset.time < 20650)\n    )[0][0]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get original network, we will isolate only relative at order *2*\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nn_ = n.relative(get_obs(n), order=2)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display the default segmentation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(n_.infos())\nn_.plot(ax, color_cycle=n.COLORS)\nupdate_axes(ax)\nfig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.05, 0.92, 0.92])\nax.xaxis.set_major_formatter(formatter), ax.grid()\n_ = n_.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Run a new segmentation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "e = n.astype(MyTrackEddiesObservations)\ne.obs.sort(order=(\"track\", \"time\"), kind=\"stable\")\nsplit_matrix = e.split_network(intern=False, window=7)\nn_ = NetworkObservations.from_split_network(e, split_matrix)\nn_ = n_.relative(get_obs(n_), order=2)\nn_.numbering_segment()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## New segmentation\n\"The oldest wins\" method produce a very long segment\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(n_.infos())\nn_.plot(ax, color_cycle=n_.COLORS)\nupdate_axes(ax)\nfig = plt.figure(figsize=(15, 5))\nax = fig.add_axes([0.04, 0.05, 0.92, 0.92])\nax.xaxis.set_major_formatter(formatter), ax.grid()\n_ = n_.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Parameters timeline\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw = dict(s=35, cmap=plt.get_cmap(\"Spectral_r\", 8), zorder=10)\nax = timeline_axes()\nn_.median_filter(15, \"time\", \"latitude\")\nm = n_.scatter_timeline(ax, \"shape_error_e\", vmin=14, vmax=70, **kw, yfield=\"lat\")\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective shape error\")\n\nax = timeline_axes()\nn_.median_filter(15, \"time\", \"latitude\")\nm = n_.scatter_timeline(\n    ax, \"shape_error_e\", vmin=14, vmax=70, **kw, yfield=\"lat\", method=\"all\"\n)\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective shape error\")\nax.set_ylabel(\"Latitude\")\n\nax = timeline_axes()\nn_.median_filter(15, \"time\", \"latitude\")\nkw[\"s\"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20\nm = n_.scatter_timeline(\n    ax,\n    \"shape_error_e\",\n    vmin=14,\n    vmax=70,\n    **kw,\n    yfield=\"lon\",\n    method=\"all\",\n)\nax.set_ylabel(\"Longitude\")\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective shape error\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Cost association plot\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n_copy = n_.copy()\nn_copy.median_filter(2, \"time\", \"next_cost\")\nfor b0, b1 in [\n    (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007, 2008)\n]:\n\n    ref, delta = datetime(1950, 1, 1), 20\n    b0_, b1_ = (b0 - ref).days, (b1 - ref).days\n    ax = timeline_axes()\n    ax.set_xlim(b0_ - delta, b1_ + delta)\n    ax.set_ylim(0, 1)\n    ax.axvline(b0_, color=\"k\", lw=1.5, ls=\"--\"), ax.axvline(\n        b1_, color=\"k\", lw=1.5, ls=\"--\"\n    )\n    n_copy.display_timeline(ax, field=\"next_cost\", method=\"all\", lw=4, markersize=8)\n\n    n_.display_timeline(ax, field=\"next_cost\", method=\"all\", lw=0.5, markersize=0)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
new file mode 100644
index 00000000..443a1a8f
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -0,0 +1,137 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Network segmentation process\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\ndef get_obs(dataset):\n    \"Function to isolate a specific obs\"\n    return where(\n        (dataset.lat > 33)\n        * (dataset.lat < 34)\n        * (dataset.lon > 22)\n        * (dataset.lon < 23)\n        * (dataset.time > 20630)\n        * (dataset.time < 20650)\n    )[0][0]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Overlaod of class to pick up\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "TRACKS = list()\nINDICES = list()\n\n\nclass MyTrack(TrackEddiesObservations):\n    @staticmethod\n    def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):\n        TRACKS.append(ids[\"track\"].copy())\n        INDICES.append(i_current)\n        return TrackEddiesObservations.get_next_obs(\n            i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs\n        )"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Load data\nLoad data where observations are put in same network but no segmentation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Get a known network for the demonstration\nn = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\n# We keep only some segment\nn = n.relative(get_obs(n), order=2)\nprint(len(n))\n# We convert and order object like segmentation was never happen on observations\ne = n.astype(MyTrack)\ne.obs.sort(order=(\"track\", \"time\"), kind=\"stable\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Do segmentation\nSegmentation based on maximum overlap, temporal window for candidates = 5 days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "matrix = e.split_network(intern=False, window=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anim\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames],\n        e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/data/network_med.nc b/src/py_eddy_tracker/data/network_med.nc
new file mode 100644
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HcmV?d00001

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index b474eaeb..0f25ace4 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -905,6 +905,12 @@ def dissociate_network(self):
     def network(self, id_network):
         return self.extract_with_mask(self.network_slice(id_network))
 
+    def networks(self, id_networks):
+        m = zeros(self.track.shape, dtype=bool)
+        for tr in id_networks:
+            m[self.network_slice(tr)] = True
+        return self.extract_with_mask(m)
+
     @classmethod
     def __tag_segment(cls, seg, tag, groups, connexions):
         """
@@ -981,6 +987,13 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
 
     def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         """
+        Remove short segment which didn't connect several segment
+
+        :param int nobs: Minimal number of observation to keep segment
+        :param int ndays: Minimal number of days to keep segment
+        :param int recursive: Run  method N times more
+        :param int mask: if one or more observation of segment are select by mask, the segment is keep
+
         .. warning::
             It will remove short segment which splits than merges with same segment
         """

From 7e6017a76716ce9a24b46e688e47738003396ebb Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 16:26:19 +0100
Subject: [PATCH 293/441] Instead of result eddyquickcompare could produce file
 for each group

---
 src/py_eddy_tracker/appli/eddies.py | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 818e825f..11442769 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -463,8 +463,6 @@ def quick_compare():
     )
     parser.contour_intern_arg()
     args = parser.parse_args()
-    if args.path_out is not None and not exists(args.path_out):
-        mkdir(args.path_out)
 
     kw = dict(
         include_vars=[
@@ -475,6 +473,9 @@ def quick_compare():
     if args.area:
         kw["include_vars"].append("speed_area" if args.intern else "effective_area")
 
+    if args.path_out is not None:
+        kw = dict()
+
     ref = EddiesObservations.load_file(args.ref, **kw)
     print(f"[ref] {args.ref} -> {len(ref)} obs")
     groups_ref, groups_other = dict(), dict()
@@ -493,6 +494,21 @@ def quick_compare():
         groups_ref[other_] = gr1
         groups_other[other_] = gr2
 
+    if args.path_out is not None:
+        if not exists(args.path_out):
+            mkdir(args.path_out)
+        for i, other_ in enumerate(args.others):
+            dirname_ = f"{args.path_out}/{other_.replace('/', '_')}/"
+            if not exists(dirname_):
+                mkdir(dirname_)
+            for k, v in groups_other[other_].items():
+                basename_ = f"other_{k}.nc"
+                others[other_].index(v).write_file(filename=f"{dirname_}/{basename_}")
+            for k, v in groups_ref[other_].items():
+                basename_ = f"ref_{k}.nc"
+                ref.index(v).write_file(filename=f"{dirname_}/{basename_}")
+        return
+
     def display(value, ref=None):
         outs = list()
         for v in value:

From 2024cdbb1282a05d0d1d8864cf5dffdd76db24c0 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 16:26:53 +0100
Subject: [PATCH 294/441] Add method to remove field from obs

---
 .../observations/observation.py               | 30 ++++++++++++++++---
 1 file changed, 26 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7d6ab314..7535a7e4 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -383,6 +383,29 @@ def obs_dimension(cls, handler):
             if candidate in handler.dimensions.keys():
                 return candidate
 
+    def remove_fields(self, *fields):
+        """
+        Copy with fields listed remove
+        """
+        nb_obs = self.obs.shape[0]
+        fields = set(fields)
+        only_variables = set(self.obs.dtype.names) - fields
+        track_extra_variables = set(self.track_extra_variables) - fields
+        array_variables = set(self.array_variables) - fields
+        new = self.__class__(
+            size=nb_obs,
+            track_extra_variables=track_extra_variables,
+            track_array_variables=self.track_array_variables,
+            array_variables=array_variables,
+            only_variables=only_variables,
+            raw_data=self.raw_data,
+        )
+        new.sign_type = self.sign_type
+        for name in new.obs.dtype.names:
+            logger.debug("Copy of field %s ...", name)
+            new.obs[name] = self.obs[name]
+        return new
+
     def add_fields(self, fields=list(), array_fields=list()):
         """
         Add a new field.
@@ -401,10 +424,9 @@ def add_fields(self, fields=list(), array_fields=list()):
             raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
-        for field in self.obs.dtype.descr:
-            logger.debug("Copy of field %s ...", field)
-            var = field[0]
-            new.obs[var] = self.obs[var]
+        for name in self.obs.dtype.names:
+            logger.debug("Copy of field %s ...", name)
+            new.obs[name] = self.obs[name]
         return new
 
     def add_rotation_type(self):

From ff30b39c0ac347cc33cd802267c0df460187b97a Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 16:34:30 +0100
Subject: [PATCH 295/441] Active network documentation

---
 examples/16_network/README.rst   |  6 ++++++
 src/py_eddy_tracker/appli/gui.py | 16 ++++++++--------
 2 files changed, 14 insertions(+), 8 deletions(-)
 create mode 100644 examples/16_network/README.rst

diff --git a/examples/16_network/README.rst b/examples/16_network/README.rst
new file mode 100644
index 00000000..49bdc3ab
--- /dev/null
+++ b/examples/16_network/README.rst
@@ -0,0 +1,6 @@
+Network
+=======
+
+.. warning::
+
+    Network is under development, API could move quickly!
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 6e989f31..427db24b 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -282,7 +282,7 @@ def anim():
     parser.add_argument(
         "--first_centered",
         action="store_true",
-        help="Longitude will be centered on first obs, if there are only one group.",
+        help="Longitude will be centered on first obs.",
     )
     parser.add_argument(
         "--field", default="time", help="Field use to color contour instead of time"
@@ -310,13 +310,13 @@ def anim():
                 "You need to specify id to display or ask explicity all with --all option"
             )
         eddies = eddies.extract_ids(args.id)
-        if args.first_centered:
-            # TODO: include observatin class
-            x0 = eddies.lon[0]
-            eddies.lon[:] = (eddies.lon - x0 + 180) % 360 + x0 - 180
-            eddies.contour_lon_e[:] = (
-                (eddies.contour_lon_e.T - eddies.lon + 180) % 360 + eddies.lon - 180
-            ).T
+    if args.first_centered:
+        # TODO: include to observation class
+        x0 = eddies.lon[0]
+        eddies.lon[:] = (eddies.lon - x0 + 180) % 360 + x0 - 180
+        eddies.contour_lon_e[:] = (
+            (eddies.contour_lon_e.T - eddies.lon + 180) % 360 + eddies.lon - 180
+        ).T
 
     kw = dict()
     if args.mp4:

From e754bcedeef82a991b3efcaa898bf469d4145cbe Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 15 Mar 2021 16:49:10 +0100
Subject: [PATCH 296/441] remove private method

---
 examples/01_general_things/pet_storage.py                 | 8 ++++----
 examples/16_network/pet_atlas.py                          | 1 -
 examples/16_network/pet_ioannou_2017_case.py              | 2 --
 examples/16_network/pet_replay_segmentation.py            | 1 -
 .../python_module/01_general_things/pet_storage.ipynb     | 6 +++---
 notebooks/python_module/16_network/pet_atlas.ipynb        | 2 +-
 .../python_module/16_network/pet_ioannou_2017_case.ipynb  | 4 ++--
 .../16_network/pet_replay_segmentation.ipynb              | 2 +-
 8 files changed, 11 insertions(+), 15 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index b22981a4..49b45627 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -10,9 +10,9 @@
 
 - **Eddies collections** : contain a list of eddies without link between them
 - **Track eddies collections** :
-   manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory
+  manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory
 - **Network eddies collections** :
-   manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
+  manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
 """
 
 import py_eddy_tracker_sample
@@ -65,7 +65,7 @@
 #
 # - **track** : Trajectory number
 # - **observation_flag** : Flag indicating if the value is interpolated between two observations or not
-#                          (0: observed eddy, 1: interpolated eddy)"
+#   (0: observed eddy, 1: interpolated eddy)"
 # - **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection
 # - **cost_association** : result of the cost function to associate the eddy with the next observation
 eddies_tracks = TrackEddiesObservations.load_file(
@@ -82,7 +82,7 @@
 # - track :  ID of network (ID 0 correspond to lonely eddies)
 # - segment :  ID of a segment within a network (from 1 to N)
 # - previous_obs : Index of the previous observation in the full dataset,
-#                  if -1 there are no previous observation (the segment starts)
+#   if -1 there are no previous observation (the segment starts)
 # - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)
 # - previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation
 # - next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index f233e70f..d25d4429 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -35,7 +35,6 @@ def start_axes(title):
 
 def update_axes(ax, mappable=None):
     ax.grid()
-    ax.update_env()
     if mappable:
         return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
 
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index f9ab7809..4ccf3501 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -52,7 +52,6 @@ def start_axes(title=""):
     ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
     ax.set_aspect("equal")
     ax.set_title(title, weight="bold")
-    ax.update_env()
     return ax
 
 
@@ -122,7 +121,6 @@ def update_axes(ax, mappable=None):
     field_txt="segment",
 )
 a.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)
-a.ax.update_env()
 a.txt.set_position((21.5, 32.7))
 # We display in video only from the 100th day to the 500th
 kwargs = dict(frames=arange(*a.period)[100:501], interval=100)
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 5f5dec45..1a296dac 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -28,7 +28,6 @@ def start_axes(title=""):
     ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
     ax.set_aspect("equal")
     ax.set_title(title, weight="bold")
-    ax.update_env()
     return ax
 
 
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index 697a8c25..b24a8a17 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll files have the same structure, with more or less fields and possible different order.\n\nThere are 3 class of files:\n\n- **Eddies collections** : contain a list of eddies without link between them\n- **Track eddies collections** :\n   manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory\n- **Network eddies collections** :\n   manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations\n"
+        "\n# How data is stored\n\nGeneral information about eddies storage.\n\nAll files have the same structure, with more or less fields and possible different order.\n\nThere are 3 class of files:\n\n- **Eddies collections** : contain a list of eddies without link between them\n- **Track eddies collections** :\n  manage eddies associated in trajectories, the ```track``` field allows to separate each trajectory\n- **Network eddies collections** :\n  manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations\n"
       ]
     },
     {
@@ -112,7 +112,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Trajectories\nTracks eddies collections add several fields :\n\n- **track** : Trajectory number\n- **observation_flag** : Flag indicating if the value is interpolated between two observations or not\n                         (0: observed eddy, 1: interpolated eddy)\"\n- **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection\n- **cost_association** : result of the cost function to associate the eddy with the next observation\n\n"
+        "## Trajectories\nTracks eddies collections add several fields :\n\n- **track** : Trajectory number\n- **observation_flag** : Flag indicating if the value is interpolated between two observations or not\n  (0: observed eddy, 1: interpolated eddy)\"\n- **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection\n- **cost_association** : result of the cost function to associate the eddy with the next observation\n\n"
       ]
     },
     {
@@ -130,7 +130,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Networks\nNetwork files use some specific fields :\n\n- track :  ID of network (ID 0 correspond to lonely eddies)\n- segment :  ID of a segment within a network (from 1 to N)\n- previous_obs : Index of the previous observation in the full dataset,\n                 if -1 there are no previous observation (the segment starts)\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)\n- previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation\n- next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation\n\n"
+        "## Networks\nNetwork files use some specific fields :\n\n- track :  ID of network (ID 0 correspond to lonely eddies)\n- segment :  ID of a segment within a network (from 1 to N)\n- previous_obs : Index of the previous observation in the full dataset,\n  if -1 there are no previous observation (the segment starts)\n- next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)\n- previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation\n- next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_atlas.ipynb b/notebooks/python_module/16_network/pet_atlas.ipynb
index 59a84a6f..c53e4b23 100644
--- a/notebooks/python_module/16_network/pet_atlas.ipynb
+++ b/notebooks/python_module/16_network/pet_atlas.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    ax.update_env()\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 3cb3e6b6..7019b1fa 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    ax.update_env()\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "a = Anim(\n    close_to_i3,\n    figsize=(12, 4),\n    cmap=colors.ListedColormap(\n        list(close_to_i3.COLORS), name=\"from_list\", N=close_to_i3.segment.max() + 1\n    ),\n    nb_step=7,\n    dpi=70,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n)\na.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)\na.ax.update_env()\na.txt.set_position((21.5, 32.7))\n# We display in video only from the 100th day to the 500th\nkwargs = dict(frames=arange(*a.period)[100:501], interval=100)\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
+        "a = Anim(\n    close_to_i3,\n    figsize=(12, 4),\n    cmap=colors.ListedColormap(\n        list(close_to_i3.COLORS), name=\"from_list\", N=close_to_i3.segment.max() + 1\n    ),\n    nb_step=7,\n    dpi=70,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n)\na.ax.set_xlim(19, 30), a.ax.set_ylim(32, 35.25)\na.txt.set_position((21.5, 32.7))\n# We display in video only from the 100th day to the 500th\nkwargs = dict(frames=arange(*a.period)[100:501], interval=100)\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
index 5715f6e3..01ddbcfc 100644
--- a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
+++ b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    ax.update_env()\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {

From 8d1b95e7e3e680043630111ea7b3ca8ad5685c08 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 16 Mar 2021 10:31:04 +0100
Subject: [PATCH 297/441] update example to get thumbnail

---
 examples/16_network/pet_group_anim.py         | 19 ++++++++++--------
 examples/16_network/pet_segmentation_anim.py  |  8 ++++++++
 .../16_network/pet_group_anim.ipynb           | 20 ++++++++++++++++++-
 .../16_network/pet_segmentation_anim.ipynb    | 18 +++++++++++++++++
 4 files changed, 56 insertions(+), 9 deletions(-)

diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 581898d8..51b2bba3 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -135,16 +135,19 @@ def update(frame):
 fig = plt.figure(figsize=(16, 9), dpi=50)
 ax = fig.add_axes([0, 0, 1, 1])
 ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
-groups = ax.scatter(
-    e.lon,
-    e.lat,
-    c=NETWORK_GROUPS[0][2],
-    cmap=ListedColormap(["gray", *e.COLORS[:-1]], name="from_list", N=30),
-    vmin=0,
-    vmax=30,
-)
+cmap = ListedColormap(["gray", *e.COLORS[:-1]], name="from_list", N=30)
+kw_s = dict(cmap=cmap, vmin=0, vmax=30)
+groups = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[0][2], **kw_s)
 current_contour = ax.plot([], [], "k", lw=2, label="Current contour")[0]
 matched_contour = ax.plot([], [], "r", lw=1, ls="--", label="Candidate contour")[0]
 txt = ax.text(29, 35, "", fontsize=25)
 ax.legend(fontsize=25)
 ani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)
+
+# %%
+# Final Result
+# -----------
+fig = plt.figure(figsize=(16, 9))
+ax = fig.add_axes([0, 0, 1, 1])
+ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
+_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 652c6b4e..15d11c63 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -116,3 +116,11 @@ def update(i_frame):
     e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]
 )[0]
 ani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)
+
+# %%
+# Final Result
+# -----------
+fig = plt.figure(figsize=(16, 9))
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
+ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
+_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index 1400da0e..a4038302 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -167,7 +167,25 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9), dpi=50)\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\ngroups = ax.scatter(\n    e.lon,\n    e.lat,\n    c=NETWORK_GROUPS[0][2],\n    cmap=ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=30),\n    vmin=0,\n    vmax=30,\n)\ncurrent_contour = ax.plot([], [], \"k\", lw=2, label=\"Current contour\")[0]\nmatched_contour = ax.plot([], [], \"r\", lw=1, ls=\"--\", label=\"Candidate contour\")[0]\ntxt = ax.text(29, 35, \"\", fontsize=25)\nax.legend(fontsize=25)\nani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)"
+        "fig = plt.figure(figsize=(16, 9), dpi=50)\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=30)\nkw_s = dict(cmap=cmap, vmin=0, vmax=30)\ngroups = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[0][2], **kw_s)\ncurrent_contour = ax.plot([], [], \"k\", lw=2, label=\"Current contour\")[0]\nmatched_contour = ax.plot([], [], \"r\", lw=1, ls=\"--\", label=\"Candidate contour\")[0]\ntxt = ax.text(29, 35, \"\", fontsize=25)\nax.legend(fontsize=25)\nani = VideoAnimation(fig, update, frames=len(NETWORK_GROUPS), interval=220)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Final Result\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
       ]
     }
   ],
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 443a1a8f..a0479a2a 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -111,6 +111,24 @@
       "source": [
         "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames],\n        e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Final Result\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
+      ]
     }
   ],
   "metadata": {

From 9e1265c539610652b1f4012e3eb94325a88e9b31 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 16 Mar 2021 14:29:41 +0100
Subject: [PATCH 298/441] change thumbnail

---
 examples/16_network/pet_group_anim.py                   | 2 +-
 notebooks/python_module/16_network/pet_group_anim.ipynb | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 51b2bba3..09ab4954 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -2,7 +2,7 @@
 Network group process
 =====================
 """
-
+# sphinx_gallery_thumbnail_number = 2
 import re
 from datetime import datetime
 
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index a4038302..6983bd21 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {

From 827fda3249c1efa77f88634255d6213987f12275 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 16 Mar 2021 15:01:02 +0100
Subject: [PATCH 299/441] Correct thumbnail

---
 examples/16_network/pet_group_anim.py                         | 3 ++-
 examples/16_network/pet_segmentation_anim.py                  | 2 ++
 notebooks/python_module/16_network/pet_group_anim.ipynb       | 4 ++--
 .../python_module/16_network/pet_segmentation_anim.ipynb      | 2 +-
 4 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 09ab4954..7ddf1bb0 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -2,7 +2,6 @@
 Network group process
 =====================
 """
-# sphinx_gallery_thumbnail_number = 2
 import re
 from datetime import datetime
 
@@ -147,6 +146,8 @@ def update(frame):
 # %%
 # Final Result
 # -----------
+
+# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0, 0, 1, 1])
 ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 15d11c63..94393435 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -120,6 +120,8 @@ def update(i_frame):
 # %%
 # Final Result
 # -----------
+
+# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index 6983bd21..1edcf5d8 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -185,7 +185,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
+        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
       ]
     }
   ],
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index a0479a2a..7a82a590 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
+        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
       ]
     }
   ],

From b85fbf3aada06481e663f5b55795a1da1b4d0c91 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 16 Mar 2021 15:39:27 +0100
Subject: [PATCH 300/441] Use video instead jshtml for eddy animation

---
 .../pet_track_anim_matplotlib_animation.py    | 32 ++++++++++++++++---
 .../pet_track_anim_matplotlib_animation.ipynb | 15 +++++++--
 2 files changed, 40 insertions(+), 7 deletions(-)

diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 3fb04450..9bf27382 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -5,6 +5,8 @@
 Run in a terminal this script, which allow to watch eddy evolution
 
 """
+import re
+
 import py_eddy_tracker_sample
 from matplotlib.animation import FuncAnimation
 from numpy import arange
@@ -12,6 +14,28 @@
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
+# sphinx_gallery_thumbnail_path = '_static/no_image.png'
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
@@ -21,14 +45,12 @@
 
 # %%
 # Run animation
-a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap="magma_r", nb_step=6)
+a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap="magma_r", nb_step=5, dpi=50)
 a.txt.set_position((17, 34.6))
 a.ax.set_xlim(16.5, 23)
 a.ax.set_ylim(34.5, 37)
 
 # arguments to get full animation
-# kwargs = dict(frames=arange(*a.period), interval=50)
-# arguments to reduce compute cost for doucmentation, we display only every 10 days
-kwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)
+kwargs = dict(frames=arange(*a.period)[300:800], interval=90)
 
-ani = FuncAnimation(a.fig, a.func_animation, **kwargs)
+ani = VideoAnimation(a.fig, a.func_animation, **kwargs)
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 259980a1..17668aed 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -26,7 +26,18 @@
       },
       "outputs": [],
       "source": [
-        "import py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "import re\n\nimport py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n# sphinx_gallery_thumbnail_path = '_static/no_image.png'"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -62,7 +73,7 @@
       },
       "outputs": [],
       "source": [
-        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=6)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\n# kwargs = dict(frames=arange(*a.period), interval=50)\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[200:800:10], save_count=60, interval=200)\n\nani = FuncAnimation(a.fig, a.func_animation, **kwargs)"
+        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=5, dpi=50)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[300:800], interval=90)\n\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
       ]
     }
   ],

From 1bc768fb2f630b2b97a45c65c2c0d4b366ab7adb Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 17 Mar 2021 10:18:00 +0100
Subject: [PATCH 301/441] Management of grid bound in advection

---
 examples/06_grid_manipulation/pet_advect.py   |  32 +-
 examples/07_cube_manipulation/pet_cube.py     | 151 ++++++++
 examples/07_cube_manipulation/pet_fsle_med.py |   1 +
 examples/16_network/pet_group_anim.py         |   3 +-
 examples/16_network/pet_segmentation_anim.py  |   4 +-
 .../06_grid_manipulation/pet_advect.ipynb     |  20 +-
 .../07_cube_manipulation/pet_cube.ipynb       | 166 +++++++++
 .../07_cube_manipulation/pet_fsle_med.ipynb   |   2 +-
 .../16_network/pet_group_anim.ipynb           |   4 +-
 .../16_network/pet_segmentation_anim.ipynb    |   4 +-
 src/py_eddy_tracker/dataset/grid.py           | 345 +++++++++++-------
 11 files changed, 562 insertions(+), 170 deletions(-)
 create mode 100644 examples/07_cube_manipulation/pet_cube.py
 create mode 100644 notebooks/python_module/07_cube_manipulation/pet_cube.ipynb

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index a1df860f..7c7f0959 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -2,7 +2,7 @@
 Grid advection
 ==============
 
-Dummy advection which use only static geostrophic current, which didn't resolve the complex circulation of the ocean.
+Dummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.
 """
 import re
 
@@ -11,22 +11,22 @@
 from numpy import arange, isnan, meshgrid, ones
 
 import py_eddy_tracker.gui
-from py_eddy_tracker import data
+from py_eddy_tracker.data import get_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.observations.observation import EddiesObservations
 
 # %%
-# Load Input grid, ADT is used to detect eddies
+# Load Input grid ADT
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 # Compute u/v from height
 g.add_uv("adt")
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20160515.nc"))
-c = EddiesObservations.load_file(data.get_path("Cyclonic_20160515.nc"))
+a = EddiesObservations.load_file(get_path("Anticyclonic_20160515.nc"))
+c = EddiesObservations.load_file(get_path("Cyclonic_20160515.nc"))
 
 
 # %%
@@ -78,15 +78,15 @@ def save(self, *args, **kwargs):
 
 
 # %%
-# Method
+# Function
 def anim_ax(**kw):
     t = 0
     fig = plt.figure(figsize=(10, 5), dpi=55)
-    ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
-    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
-    a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
-    line = ax.plot([], [], "k", **kw)[0]
-    return fig, ax.text(21, 32.1, ""), line, t
+    axes = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()
+    a.filled(axes, facecolors="r", alpha=0.1), c.filled(axes, facecolors="b", alpha=0.1)
+    line = axes.plot([], [], "k", **kw)[0]
+    return fig, axes.text(21, 32.1, ""), line, t
 
 
 def update(i_frame, t_step):
@@ -127,11 +127,10 @@ def update(i_frame, t_step):
 # %%
 # Time_step settings
 # ^^^^^^^^^^^^^^^^^^
-# Dummy experiment to test advection precision, we run particles 50 days forward and backward ad different time step
+# Dummy experiment to test advection precision, we run particles 50 days forward and backward with different time step
 # and we measure distance between new positions and original positions.
 fig = plt.figure()
 ax = fig.add_subplot(111)
-ax.grid()
 kw = dict(
     bins=arange(0, 50, 0.001),
     cumulative=True,
@@ -145,7 +144,7 @@ def update(i_frame, t_step):
     g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
     ax.hist(d, **kw, label=f"{86400. / time_step:.0f} time step by day")
-ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
 ax.set_title("Distance after 50 days forward and 50 days backward")
 ax.set_xlabel("Distance between original position and final position (in degrees)")
 _ = ax.set_ylabel("Percent of particles with distance lesser than")
@@ -156,7 +155,6 @@ def update(i_frame, t_step):
 # We keep same time_step but change time duration
 fig = plt.figure()
 ax = fig.add_subplot(111)
-ax.grid()
 time_step = 10800
 for duration in (5, 50, 100):
     x, y = x0.copy(), y0.copy()
@@ -165,7 +163,7 @@ def update(i_frame, t_step):
     g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
     ax.hist(d, **kw, label=f"Time duration {duration} days")
-ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
 ax.set_title(
     "Distance after N days forward and N days backward\nwith a time step of 1/8 days"
 )
diff --git a/examples/07_cube_manipulation/pet_cube.py b/examples/07_cube_manipulation/pet_cube.py
new file mode 100644
index 00000000..50431f58
--- /dev/null
+++ b/examples/07_cube_manipulation/pet_cube.py
@@ -0,0 +1,151 @@
+"""
+Time advection
+==============
+
+Example which use CMEMS surface current with a Runge-Kutta 4 algorithm to advect particles.
+"""
+# sphinx_gallery_thumbnail_number = 2
+import re
+from datetime import datetime, timedelta
+
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from numpy import arange, isnan, meshgrid, ones
+
+import py_eddy_tracker.gui
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import GridCollection
+
+start_logger().setLevel("ERROR")
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+# Data
+# ----
+# Load Input time grid ADT
+c = GridCollection.from_netcdf_cube(
+    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    "longitude",
+    "latitude",
+    "time",
+    # To create U/V variable
+    heigth="adt",
+)
+
+# %%
+# Anim
+# ----
+# Particles setup
+step_p = 1 / 8
+x, y = meshgrid(arange(13, 36, step_p), arange(28, 40, step_p))
+x, y = x.reshape(-1), y.reshape(-1)
+# Remove all original position that we can't advect at first place
+t0 = 20181
+m = ~isnan(c[t0].interp("u", x, y))
+x0, y0 = x[m], y[m]
+x, y = x0.copy(), y0.copy()
+
+
+# %%
+# Function
+def anim_ax(**kw):
+    fig = plt.figure(figsize=(10, 5), dpi=55)
+    axes = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()
+    line = axes.plot([], [], "k", **kw)[0]
+    return fig, axes.text(21, 32.1, ""), line
+
+
+def update(_):
+    tt, xt, yt = f.__next__()
+    mappable.set_data(xt, yt)
+    d = timedelta(tt / 86400.0) + datetime(1950, 1, 1)
+    txt.set_text(f"{d:%Y/%m/%d-%H}")
+
+
+# %%
+f = c.filament(x, y, "u", "v", t_init=t0, nb_step=2, time_step=21600, filament_size=3)
+fig, txt, mappable = anim_ax(lw=0.5)
+ani = VideoAnimation(fig, update, frames=arange(160), interval=100)
+
+
+# %%
+# Particules stat
+# ---------------
+# Time_step settings
+# ^^^^^^^^^^^^^^^^^^
+# Dummy experiment to test advection precision, we run particles 50 days forward and backward with different time step
+# and we measure distance between new positions and original positions.
+fig = plt.figure()
+ax = fig.add_subplot(111)
+kw = dict(
+    bins=arange(0, 50, 0.002),
+    cumulative=True,
+    weights=ones(x0.shape) / x0.shape[0] * 100.0,
+    histtype="step",
+)
+kw_p = dict(u_name="u", v_name="v", nb_step=1)
+for time_step in (10800, 21600, 43200, 86400):
+    x, y = x0.copy(), y0.copy()
+    nb = int(30 * 86400 / time_step)
+    # Go forward
+    p = c.advect(x, y, time_step=time_step, t_init=20181.5, **kw_p)
+    for i in range(nb):
+        t_, _, _ = p.__next__()
+    # Go backward
+    p = c.advect(x, y, time_step=time_step, backward=True, t_init=t_ / 86400.0, **kw_p)
+    for i in range(nb):
+        t_, _, _ = p.__next__()
+    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
+    ax.hist(d, **kw, label=f"{86400. / time_step:.0f} time step by day")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
+ax.set_title("Distance after 50 days forward and 50 days backward")
+ax.set_xlabel("Distance between original position and final position (in degrees)")
+_ = ax.set_ylabel("Percent of particles with distance lesser than")
+
+# %%
+# Time duration
+# ^^^^^^^^^^^^^
+# We keep same time_step but change time duration
+fig = plt.figure()
+ax = fig.add_subplot(111)
+time_step = 10800
+for duration in (10, 40, 80):
+    x, y = x0.copy(), y0.copy()
+    nb = int(duration * 86400 / time_step)
+    # Go forward
+    p = c.advect(x, y, time_step=time_step, t_init=20181.5, **kw_p)
+    for i in range(nb):
+        t_, _, _ = p.__next__()
+    # Go backward
+    p = c.advect(x, y, time_step=time_step, backward=True, t_init=t_ / 86400.0, **kw_p)
+    for i in range(nb):
+        t_, _, _ = p.__next__()
+    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
+    ax.hist(d, **kw, label=f"Time duration {duration} days")
+ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
+ax.set_title(
+    "Distance after N days forward and N days backward\nwith a time step of 1/8 days"
+)
+ax.set_xlabel("Distance between original position and final position (in degrees)")
+_ = ax.set_ylabel("Percent of particles with distance lesser than ")
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 49b44144..3857bb5a 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -31,6 +31,7 @@
     "longitude",
     "latitude",
     "time",
+    # To create U/V variable
     heigth="adt",
 )
 
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 7ddf1bb0..09ab4954 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -2,6 +2,7 @@
 Network group process
 =====================
 """
+# sphinx_gallery_thumbnail_number = 2
 import re
 from datetime import datetime
 
@@ -146,8 +147,6 @@ def update(frame):
 # %%
 # Final Result
 # -----------
-
-# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0, 0, 1, 1])
 ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 94393435..74a94e3c 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -2,7 +2,7 @@
 Network segmentation process
 ============================
 """
-
+# sphinx_gallery_thumbnail_number = 2
 import re
 
 from matplotlib import pyplot as plt
@@ -120,8 +120,6 @@ def update(i_frame):
 # %%
 # Final Result
 # -----------
-
-# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 34a72c94..5de7c46a 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Grid advection\n\nDummy advection which use only static geostrophic current, which didn't resolve the complex circulation of the ocean.\n"
+        "\n# Grid advection\n\nDummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.\n"
       ]
     },
     {
@@ -26,14 +26,14 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Load Input grid, ADT is used to detect eddies\n\n"
+        "Load Input grid ADT\n\n"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# Compute u/v from height\ng.add_uv(\"adt\")"
+        "g = RegularGridDataset(\n    get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# Compute u/v from height\ng.add_uv(\"adt\")"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))"
+        "a = EddiesObservations.load_file(get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\"))"
       ]
     },
     {
@@ -134,7 +134,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Method\n\n"
+        "Function\n\n"
       ]
     },
     {
@@ -145,7 +145,7 @@
       },
       "outputs": [],
       "source": [
-        "def anim_ax(**kw):\n    t = 0\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\n    a.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n    line = ax.plot([], [], \"k\", **kw)[0]\n    return fig, ax.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
+        "def anim_ax(**kw):\n    t = 0\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    a.filled(axes, facecolors=\"r\", alpha=0.1), c.filled(axes, facecolors=\"b\", alpha=0.1)\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
       ]
     },
     {
@@ -213,7 +213,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Time_step settings\nDummy experiment to test advection precision, we run particles 50 days forward and backward ad different time step\nand we measure distance between new positions and original positions.\n\n"
+        "### Time_step settings\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
       ]
     },
     {
@@ -224,7 +224,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax = fig.add_subplot(111)\nax.grid()\nkw = dict(\n    bins=arange(0, 50, 0.001),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\")\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
+        "fig = plt.figure()\nax = fig.add_subplot(111)\nkw = dict(\n    bins=arange(0, 50, 0.001),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
       ]
     },
     {
@@ -242,7 +242,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax = fig.add_subplot(111)\nax.grid()\ntime_step = 10800\nfor duration in (5, 50, 100):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\")\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
+        "fig = plt.figure()\nax = fig.add_subplot(111)\ntime_step = 10800\nfor duration in (5, 50, 100):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
       ]
     }
   ],
diff --git a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
new file mode 100644
index 00000000..aa9ad093
--- /dev/null
+++ b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
@@ -0,0 +1,166 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Time advection\n\nExample which use CMEMS surface current with a Runge-Kutta 4 algorithm to advect particles.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Data\nLoad Input time grid ADT\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Anim\nParticles setup\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step_p = 1 / 8\nx, y = meshgrid(arange(13, 36, step_p), arange(28, 40, step_p))\nx, y = x.reshape(-1), y.reshape(-1)\n# Remove all original position that we can't advect at first place\nt0 = 20181\nm = ~isnan(c[t0].interp(\"u\", x, y))\nx0, y0 = x[m], y[m]\nx, y = x0.copy(), y0.copy()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Function\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def anim_ax(**kw):\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line\n\n\ndef update(_):\n    tt, xt, yt = f.__next__()\n    mappable.set_data(xt, yt)\n    d = timedelta(tt / 86400.0) + datetime(1950, 1, 1)\n    txt.set_text(f\"{d:%Y/%m/%d-%H}\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "f = c.filament(x, y, \"u\", \"v\", t_init=t0, nb_step=2, time_step=21600, filament_size=3)\nfig, txt, mappable = anim_ax(lw=0.5)\nani = VideoAnimation(fig, update, frames=arange(160), interval=100)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Particules stat\nTime_step settings\n^^^^^^^^^^^^^^^^^^\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax = fig.add_subplot(111)\nkw = dict(\n    bins=arange(0, 50, 0.002),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nkw_p = dict(u_name=\"u\", v_name=\"v\", nb_step=1)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    nb = int(30 * 86400 / time_step)\n    # Go forward\n    p = c.advect(x, y, time_step=time_step, t_init=20181.5, **kw_p)\n    for i in range(nb):\n        t_, _, _ = p.__next__()\n    # Go backward\n    p = c.advect(x, y, time_step=time_step, backward=True, t_init=t_ / 86400.0, **kw_p)\n    for i in range(nb):\n        t_, _, _ = p.__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Time duration\nWe keep same time_step but change time duration\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure()\nax = fig.add_subplot(111)\ntime_step = 10800\nfor duration in (10, 40, 80):\n    x, y = x0.copy(), y0.copy()\n    nb = int(duration * 86400 / time_step)\n    # Go forward\n    p = c.advect(x, y, time_step=time_step, t_init=20181.5, **kw_p)\n    for i in range(nb):\n        t_, _, _ = p.__next__()\n    # Go backward\n    p = c.advect(x, y, time_step=time_step, backward=True, t_init=t_ / 86400.0, **kw_p)\n    for i in range(nb):\n        t_, _, _ = p.__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index 09bb9df0..00477940 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index 1edcf5d8..6983bd21 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -185,7 +185,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
+        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
       ]
     }
   ],
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 7a82a590..c7372f42 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
+        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 06cdfac1..cf20f340 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1946,7 +1946,8 @@ def advect(self, x, y, u_name, v_name, nb_step=10, rk4=True, **kw):
         :param str,array u_name: U field to advect obs
         :param str,array v_name: V field to advect obs
         :param int nb_step: Number of iteration before to release data
-        :param int time_step: Number of second for each advection
+
+        .. minigallery:: py_eddy_tracker.GridDataset.advect
         """
         u, v, m = self.uv_for_advection(u_name, v_name, **kw)
         m_p = isnan(x) + isnan(y)
@@ -1967,9 +1968,10 @@ def filament(
         :param str,array u_name: U field to advect obs
         :param str,array v_name: V field to advect obs
         :param int nb_step: Number of iteration before to release data
-        :param int time_step: Number of second for each advection
         :param int filament_size: Number of point by filament
         :return: x,y for a line
+
+        .. minigallery:: py_eddy_tracker.GridDataset.filament
         """
         u, v, m = self.uv_for_advection(u_name, v_name, **kw)
         x, y = x.copy(), y.copy()
@@ -2001,6 +2003,9 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
+    nb_x_ = x_g.size - 2
+    nb_x = nb_x_ if is_circular else 0
     # cache
     i_cache, j_cache = -1000000, -1000000
     masked = False
@@ -2015,60 +2020,76 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
         # Iterate on whole steps
         for _ in range(nb_step):
             # k1, slope at origin
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x_, y_)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x_, y_, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
-                    ii_, jj_, u_g, v_g, m_g
-                )
                 i_cache, j_cache = ii_, jj_
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    masked = True
+                else:
+                    masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                        ii_, jj_, u_g, v_g, m_g, nb_x
+                    )
             # The 3 following could be in cache operation but this one must be test in any case
             if masked:
                 x_, y_ = nan, nan
                 m[i] = True
                 break
-            xd, yd = ii - ii_, jj - jj_
             u1, v1 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k2, slope at middle with first guess position
             x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x1, y1)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x1, y1, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
-                    ii_, jj_, u_g, v_g, m_g
-                )
                 i_cache, j_cache = ii_, jj_
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    masked = True
+                else:
+                    masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                        ii_, jj_, u_g, v_g, m_g, nb_x
+                    )
                 if masked:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u2, v2 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k3, slope at middle with update guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x2, y2)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x2, y2, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
-                    ii_, jj_, u_g, v_g, m_g
-                )
                 i_cache, j_cache = ii_, jj_
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    masked = True
+                else:
+                    masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                        ii_, jj_, u_g, v_g, m_g, nb_x
+                    )
                 if masked:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u3, v3 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # k4, slope at end with update guess position
             x3, y3 = x_ + u3, y_ + v3
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x3, y3)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x3, y3, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
-                    ii_, jj_, u_g, v_g, m_g
-                )
                 i_cache, j_cache = ii_, jj_
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    masked = True
+                else:
+                    masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                        ii_, jj_, u_g, v_g, m_g, nb_x
+                    )
                 if masked:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u4, v4 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # RK4 compute
             dx = (u1 + 2 * u2 + 2 * u3 + u4) / 6
@@ -2080,30 +2101,19 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
         y[i] = y_
 
 
-@njit(cache=True)
-def get_uv(x0, y0, x_step, y_step, u, v, m, x, y):
-    i, j = (x - x0) / x_step, (y - y0) / y_step
-    i0, j0 = int(floor(i)), int(floor(j))
-    i1, j1 = i0 + 1, j0 + 1
-    if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
-        return nan, nan
-    # Extract value for u and v
-    u00, u01, u10, u11 = u[i0, j0], u[i0, j1], u[i1, j0], u[i1, j1]
-    v00, v01, v10, v11 = v[i0, j0], v[i0, j1], v[i1, j0], v[i1, j1]
-    xd, yd = i - i0, j - j0
-    xd_i, yd_i = 1 - xd, 1 - yd
-    u = (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
-    v = (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
-    return u, v
-
-
 @njit(cache=True)
 def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
+    nb_x_ = x_g.size - 2
+    nb_x = nb_x_ if is_circular else 0
     # Indices which should be never exist
     i0_old, j0_old = -100000, -100000
+    masked = False
+    u00, u01, u10, u11 = 0.0, 0.0, 0.0, 0.0
+    v00, v01, v10, v11 = 0.0, 0.0, 0.0, 0.0
     # On each particule
     for i in prange(x.size):
         # If particule are not valid => continue
@@ -2111,31 +2121,27 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
             continue
         # Iterate on whole steps
         for _ in range(nb_step):
-            # Compute coordinates in indice referentiel
-            x_, y_ = (x[i] - x_ref) / x_step, (y[i] - y_ref) / y_step
-            # corner bottom left Indice
-            i0_, j0_ = int(floor(x_)), int(floor(y_))
-            i0, j0 = i0_, j0_
-            i1 = i0 + 1
+            i0, j0, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x[i], y[i], nb_x
+            )
             # corner are the same need only a new xd and yd
             if i0 != i0_old or j0 != j0_old:
-                j1 = j0 + 1
-                # If one of nearest pixel is invalid
-                if m_g[i0, j0] or m_g[i0, j1] or m_g[i1, j0] or m_g[i1, j1]:
-                    x[i], y[i] = nan, nan
-                    m[i] = True
-                    break
-                # Extract value for u and v
-                u00, u01, u10, u11 = u_g[i0, j0], u_g[i0, j1], u_g[i1, j0], u_g[i1, j1]
-                v00, v01, v10, v11 = v_g[i0, j0], v_g[i0, j1], v_g[i1, j0], v_g[i1, j1]
                 # Need to be store only on change
                 i0_old, j0_old = i0, j0
-            # Compute distance
-            xd, yd = x_ - i0_, y_ - j0_
-            xd_i, yd_i = 1 - xd, 1 - yd
+                if not is_circular and (i0 < 0 or i0 > nb_x_):
+                    masked = True
+                else:
+                    masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
+                        i0, j0, u_g, v_g, m_g, nb_x
+                    )
+            if masked:
+                x[i], y[i] = nan, nan
+                m[i] = True
+                break
+            u, v = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
             # Compute new x,y
-            x[i] += (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
-            y[i] += (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
+            x[i] += u
+            y[i] += v
 
 
 @njit(cache=True, fastmath=True)
@@ -2311,6 +2317,8 @@ def filament(
         :param int time_step: Number of second for each advection
         :param int filament_size: Number of point by filament
         :return: x,y for a line
+
+        .. minigallery:: py_eddy_tracker.GridCollection.filament
         """
         x, y = x.copy(), y.copy()
         nb = x.shape[0]
@@ -2374,6 +2382,20 @@ def advect(
         rk4=True,
         **kw,
     ):
+        """
+        At each call it will update position in place with u & v field
+
+        :param array x: Longitude of obs to move
+        :param array y: Latitude of obs to move
+        :param str,array u_name: U field to advect obs
+        :param str,array v_name: V field to advect obs
+        :param int nb_step: Number of iteration before to release data
+        :param int time_step: Number of second for each advection
+
+        :return: x,y position
+
+        .. minigallery:: py_eddy_tracker.GridCollection.advect
+        """
         backward = kw.get("backward", False)
         if backward:
             generator = self.get_previous_time_step(t_init)
@@ -2449,51 +2471,43 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
+    nb_x_ = x_g.size - 2
+    nb_x = nb_x_ if is_circular else 0
     # Indices which should be never exist
     i0_old, j0_old = -100000, -100000
-    # On each particule
+    m0, m1 = False, False
+    u000, u001, u010, u011 = 0.0, 0.0, 0.0, 0.0
+    v000, v001, v010, v011 = 0.0, 0.0, 0.0, 0.0
+    u100, u101, u110, u111 = 0.0, 0.0, 0.0, 0.0
+    v100, v101, v110, v111 = 0.0, 0.0, 0.0, 0.0
+    # On each particle
     for i in prange(x.size):
-        # If particule are not valid => continue
+        # If particle are not valid => continue
         if m[i]:
             continue
         # Iterate on whole steps
         for w in weigths:
-            # Compute coordinates in indice referentiel
-            x_, y_ = (x[i] - x_ref) / x_step, (y[i] - y_ref) / y_step
-            # corner bottom left Indice
-            i0_, j0_ = int(floor(x_)), int(floor(y_))
-            i0, j0 = i0_, j0_
-            i1 = i0 + 1
-            # corner are the same need only a new xd and yd
+            i0, j0, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x[i], y[i], nb_x
+            )
             if i0 != i0_old or j0 != j0_old:
-                j1 = j0 + 1
-                # If one of nearest pixel is invalid
-                if (
-                    m_g0[i0, j0]
-                    or m_g0[i0, j1]
-                    or m_g0[i1, j0]
-                    or m_g0[i1, j1]
-                    or m_g1[i0, j0]
-                    or m_g1[i0, j1]
-                    or m_g1[i1, j0]
-                    or m_g1[i1, j1]
-                ):
-                    x[i], y[i] = nan, nan
-                    m[i] = True
-                    break
-                # Extract value for u and v
-                u000, u001 = u_g0[i0, j0], u_g0[i0, j1]
-                u010, u011 = u_g0[i1, j0], u_g0[i1, j1]
-                v000, v001 = v_g0[i0, j0], v_g0[i0, j1]
-                v010, v011 = v_g0[i1, j0], v_g0[i1, j1]
-                u100, u101 = u_g1[i0, j0], u_g1[i0, j1]
-                u110, u111 = u_g1[i1, j0], u_g1[i1, j1]
-                v100, v101 = v_g1[i0, j0], v_g1[i0, j1]
-                v110, v111 = v_g1[i1, j0], v_g1[i1, j1]
                 # Need to be store only on change
                 i0_old, j0_old = i0, j0
+                if not is_circular and (i0 < 0 or i0 > nb_x_):
+                    m0, m1 = True, True
+                else:
+                    (m0, u000, u001, u010, u011, v000, v001, v010, v011) = get_uv_quad(
+                        i0, j0, u_g0, v_g0, m_g0, nb_x
+                    )
+                    (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
+                        i0, j0, u_g1, v_g1, m_g1, nb_x
+                    )
+            if m0 or m1:
+                x[i], y[i] = nan, nan
+                m[i] = True
+                break
             # Compute distance
-            xd, yd = x_ - i0_, y_ - j0_
             xd_i, yd_i = 1 - xd, 1 - yd
             # Compute new x,y
             dx0 = (u000 * xd_i + u010 * xd) * yd_i + (u001 * xd_i + u011 * xd) * yd
@@ -2505,8 +2519,23 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
 
 
 @njit(cache=True, fastmath=True)
-def get_uv_quad(i0, j0, u, v, m):
+def get_uv_quad(i0, j0, u, v, m, nb_x=0):
+    """
+    Return u/v for (i0, j0), (i1, j0), (i0, j1), (i1, j1)
+
+    :param int i0: indices of longitude
+    :param int j0: indices of latitude
+    :param array[float] u: current along x axis
+    :param array[float] v: current along y axis
+    :param array[bool] m: flag to know if position is valid
+    :param int nb_x: If different of 0 we check if wrapping is needed
+
+    :return: if cell is valid 4 u, 4 v
+    :rtype: bool,float,float,float,float,float,float,float,float
+    """
     i1, j1 = i0 + 1, j0 + 1
+    if nb_x != 0:
+        i1 %= nb_x
     if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
         return True, nan, nan, nan, nan, nan, nan, nan, nan
     # Extract value for u and v
@@ -2516,14 +2545,45 @@ def get_uv_quad(i0, j0, u, v, m):
 
 
 @njit(cache=True, fastmath=True)
-def get_grid_indices(x0, y0, x_step, y_step, x, y):
+def get_grid_indices(x0, y0, x_step, y_step, x, y, nb_x=0):
+    """
+    Return grid indices and weight
+
+    :param float x0: first longitude
+    :param float y0: first latitude
+    :param float x_step: longitude grid step
+    :param float y_step: latitude grid step
+    :param float x: longitude to interpolate
+    :param float y: latitude to interpolate
+    :param int nb_x: If different of 0 we check if wrapping is needed
+
+    :return: indices and weight
+    :rtype: int,int,float,float
+    """
     i, j = (x - x0) / x_step, (y - y0) / y_step
     i0, j0 = int(floor(i)), int(floor(j))
-    return i0, j0, i, j
+    xd, yd = i - i0, j - j0
+    if nb_x != 0:
+        i0 %= nb_x
+    return i0, j0, xd, yd
 
 
 @njit(cache=True, fastmath=True)
 def interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11):
+    """
+    Return u/v interpolated in cell
+
+    :param float xd: x weight
+    :param float yd: y weight
+    :param float u00: u lower left
+    :param float u01: u upper left
+    :param float u10: u lower right
+    :param float u11: u upper right
+    :param float v00: v lower left
+    :param float v01: v upper left
+    :param float v10: v lower right
+    :param float v11: v upper right
+    """
     xd_i, yd_i = 1 - xd, 1 - yd
     u = (u00 * xd_i + u10 * xd) * yd_i + (u01 * xd_i + u11 * xd) * yd
     v = (v00 * xd_i + v10 * xd) * yd_i + (v01 * xd_i + v11 * xd) * yd
@@ -2537,9 +2597,12 @@ def advect_t_rk4(
     # Grid coordinates
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
+    is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
+    nb_x_ = x_g.size - 2
+    nb_x = nb_x_ if is_circular else 0
     # cache
     i_cache, j_cache = -1000000, -1000000
-    masked0, masked1 = False, False
+    m0, m1 = False, False
     u000, u001, u010, u011 = 0.0, 0.0, 0.0, 0.0
     v000, v001, v010, v011 = 0.0, 0.0, 0.0, 0.0
     u100, u101, u110, u111 = 0.0, 0.0, 0.0, 0.0
@@ -2553,79 +2616,95 @@ def advect_t_rk4(
         # Iterate on whole steps
         for w in weigths:
             # k1, slope at origin
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x_, y_)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x_, y_, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
-                    ii_, jj_, u_g0, v_g0, m_g0
-                )
-                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
-                    ii_, jj_, u_g1, v_g1, m_g1
-                )
                 i_cache, j_cache = ii_, jj_
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    m0, m1 = True, True
+                else:
+                    (m0, u000, u001, u010, u011, v000, v001, v010, v011) = get_uv_quad(
+                        ii_, jj_, u_g0, v_g0, m_g0, nb_x
+                    )
+                    (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
+                        ii_, jj_, u_g1, v_g1, m_g1, nb_x
+                    )
             # The 3 following could be in cache operation but this one must be test in any case
-            if masked0 or masked1:
+            if m0 or m1:
                 x_, y_ = nan, nan
                 m[i] = True
                 break
-            xd, yd = ii - ii_, jj - jj_
             u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             u1, v1 = u0_ * w + u1_ * (1 - w), v0_ * w + v1_ * (1 - w)
             # k2, slope at middle with first guess position
             x1, y1 = x_ + u1 * 0.5, y_ + v1 * 0.5
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x1, y1)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x1, y1, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
-                    ii_, jj_, u_g0, v_g0, m_g0
-                )
-                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
-                    ii_, jj_, u_g1, v_g1, m_g1
-                )
                 i_cache, j_cache = ii_, jj_
-                if masked0 or masked1:
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    m0, m1 = True, True
+                else:
+                    (m0, u000, u001, u010, u011, v000, v001, v010, v011) = get_uv_quad(
+                        ii_, jj_, u_g0, v_g0, m_g0, nb_x
+                    )
+                    (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
+                        ii_, jj_, u_g1, v_g1, m_g1, nb_x
+                    )
+                if m0 or m1:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             w_ = w - half_w
             u2, v2 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
             # k3, slope at middle with update guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x2, y2)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x2, y2, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
-                    ii_, jj_, u_g0, v_g0, m_g0
-                )
-                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
-                    ii_, jj_, u_g1, v_g1, m_g1
-                )
                 i_cache, j_cache = ii_, jj_
-                if masked0 or masked1:
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    m0, m1 = True, True
+                else:
+                    (m0, u000, u001, u010, u011, v000, v001, v010, v011) = get_uv_quad(
+                        ii_, jj_, u_g0, v_g0, m_g0, nb_x
+                    )
+                    (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
+                        ii_, jj_, u_g1, v_g1, m_g1, nb_x
+                    )
+                if m0 or m1:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             u3, v3 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
             # k4, slope at end with update guess position
             x3, y3 = x_ + u3, y_ + v3
-            ii_, jj_, ii, jj = get_grid_indices(x_ref, y_ref, x_step, y_step, x3, y3)
+            ii_, jj_, xd, yd = get_grid_indices(
+                x_ref, y_ref, x_step, y_step, x3, y3, nb_x
+            )
             if ii_ != i_cache or jj_ != j_cache:
-                masked0, u000, u001, u010, u011, v000, v001, v010, v011 = get_uv_quad(
-                    ii_, jj_, u_g0, v_g0, m_g0
-                )
-                masked1, u100, u101, u110, u111, v100, v101, v110, v111 = get_uv_quad(
-                    ii_, jj_, u_g1, v_g1, m_g1
-                )
                 i_cache, j_cache = ii_, jj_
-                if masked0 or masked1:
+                if not is_circular and (ii_ < 0 or ii_ > nb_x_):
+                    m0, m1 = True, True
+                else:
+                    (m0, u000, u001, u010, u011, v000, v001, v010, v011) = get_uv_quad(
+                        ii_, jj_, u_g0, v_g0, m_g0, nb_x
+                    )
+                    (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
+                        ii_, jj_, u_g1, v_g1, m_g1, nb_x
+                    )
+                if m0 or m1:
                     x_, y_ = nan, nan
                     m[i] = True
                     break
-            xd, yd = ii - ii_, jj - jj_
             u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             w_ -= half_w

From 1be9be7d307228f15b0f3d5c834fd39126a4615a Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 18 Mar 2021 11:53:37 +0100
Subject: [PATCH 302/441] reformat some docstring

---
 examples/02_eddy_identification/pet_contour_circle.py  |  2 +-
 .../02_eddy_identification/pet_eddy_detection_ACC.py   |  2 +-
 examples/02_eddy_identification/pet_uv_profile.py      |  0
 examples/07_cube_manipulation/pet_fsle_med.py          |  4 ++--
 notebooks/README.md                                    |  1 +
 .../02_eddy_identification/pet_contour_circle.ipynb    |  2 +-
 .../pet_eddy_detection_ACC.ipynb                       |  2 +-
 .../07_cube_manipulation/pet_fsle_med.ipynb            |  4 ++--
 .../pet_track_anim_matplotlib_animation.ipynb          |  4 ++--
 src/py_eddy_tracker/dataset/grid.py                    |  2 +-
 src/py_eddy_tracker/observations/groups.py             | 10 ++++------
 src/py_eddy_tracker/observations/observation.py        |  2 +-
 12 files changed, 17 insertions(+), 18 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_uv_profile.py

diff --git a/examples/02_eddy_identification/pet_contour_circle.py b/examples/02_eddy_identification/pet_contour_circle.py
index 197ae357..173ca4da 100644
--- a/examples/02_eddy_identification/pet_contour_circle.py
+++ b/examples/02_eddy_identification/pet_contour_circle.py
@@ -25,4 +25,4 @@
 # Replace contours by circles using center and radius (effective is dashed)
 a.circle_contour()
 a.display(ax, label="Anticyclonic circle", color="g", lw=1)
-ax.legend(loc="upper right")
+_ = ax.legend(loc="upper right")
diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index 5354b1c9..415da9dd 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -94,7 +94,7 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
 # -------
 kw_adt = dict(vmin=-1.5, vmax=1.5, cmap=plt.get_cmap("RdBu_r", 30))
 fig, axs = quad_axes("General properties field")
-m = g_raw.display(axs[0], "adt", **kw_adt)
+g_raw.display(axs[0], "adt", **kw_adt)
 axs[0].set_title("Total ADT (m)")
 m = g.display(axs[1], "adt_low", **kw_adt)
 axs[1].set_title("ADT (m) large scale, cutoff at 700 km")
diff --git a/examples/02_eddy_identification/pet_uv_profile.py b/examples/02_eddy_identification/pet_uv_profile.py
new file mode 100644
index 00000000..e69de29b
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 3857bb5a..bbeb0007 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -179,7 +179,7 @@ def build_triplet(x, y, step=0.02):
 kw = dict(cmap="viridis_r", vmin=-15, vmax=0)
 m = fsle_custom.display(ax, 1 / fsle_custom.grid("fsle"), **kw)
 ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
+_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
 # %%
 # Display Theta
 # -------------
@@ -191,4 +191,4 @@ def build_triplet(x, y, step=0.02):
 kw = dict(cmap="Spectral_r", vmin=-180, vmax=180)
 m = fsle_custom.display(ax, fsle_custom.grid("theta"), **kw)
 ax.grid()
-cb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
+_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
diff --git a/notebooks/README.md b/notebooks/README.md
index 27bee160..bbf88a8b 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,3 +1,4 @@
 # rm build/sphinx/ doc/python_module/ doc/gen_modules/ -rf
+# rm doc/_autosummary/ doc/gen_modules - rf
 python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index aab4e0f6..27bc522a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\na.display(ax, label=\"Anticyclonic contour\", color=\"r\", lw=1)\n\n# Replace contours by circles using center and radius (effective is dashed)\na.circle_contour()\na.display(ax, label=\"Anticyclonic circle\", color=\"g\", lw=1)\nax.legend(loc=\"upper right\")"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes((0.05, 0.05, 0.9, 0.9))\nax.set_aspect(\"equal\")\nax.set_xlim(10, 70)\nax.set_ylim(-50, -25)\na.display(ax, label=\"Anticyclonic contour\", color=\"r\", lw=1)\n\n# Replace contours by circles using center and radius (effective is dashed)\na.circle_contour()\na.display(ax, label=\"Anticyclonic circle\", color=\"g\", lw=1)\n_ = ax.legend(loc=\"upper right\")"
       ]
     }
   ],
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
index 689f532b..d9417d22 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "kw_adt = dict(vmin=-1.5, vmax=1.5, cmap=plt.get_cmap(\"RdBu_r\", 30))\nfig, axs = quad_axes(\"General properties field\")\nm = g_raw.display(axs[0], \"adt\", **kw_adt)\naxs[0].set_title(\"Total ADT (m)\")\nm = g.display(axs[1], \"adt_low\", **kw_adt)\naxs[1].set_title(\"ADT (m) large scale, cutoff at 700 km\")\nm2 = g.display(axs[2], \"adt\", cmap=plt.get_cmap(\"RdBu_r\", 20), vmin=-0.5, vmax=0.5)\naxs[2].set_title(\"ADT (m) high-pass filtered, a cutoff at 700 km\")\ncb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation=\"horizontal\")\ncb.set_label(\"ADT (m)\", labelpad=0)\ncb2 = plt.colorbar(m2, cax=axs[2].figure.add_axes(pos_cb2), orientation=\"horizontal\")\ncb2.set_label(\"ADT (m)\", labelpad=0)\nset_fancy_labels(fig)"
+        "kw_adt = dict(vmin=-1.5, vmax=1.5, cmap=plt.get_cmap(\"RdBu_r\", 30))\nfig, axs = quad_axes(\"General properties field\")\ng_raw.display(axs[0], \"adt\", **kw_adt)\naxs[0].set_title(\"Total ADT (m)\")\nm = g.display(axs[1], \"adt_low\", **kw_adt)\naxs[1].set_title(\"ADT (m) large scale, cutoff at 700 km\")\nm2 = g.display(axs[2], \"adt\", cmap=plt.get_cmap(\"RdBu_r\", 20), vmin=-0.5, vmax=0.5)\naxs[2].set_title(\"ADT (m) high-pass filtered, a cutoff at 700 km\")\ncb = plt.colorbar(m, cax=axs[0].figure.add_axes(pos_cb), orientation=\"horizontal\")\ncb.set_label(\"ADT (m)\", labelpad=0)\ncb2 = plt.colorbar(m2, cax=axs[2].figure.add_axes(pos_cb2), orientation=\"horizontal\")\ncb2.set_label(\"ADT (m)\", labelpad=0)\nset_fancy_labels(fig)"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index 00477940..f42b3e43 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -134,7 +134,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-15, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-15, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\n_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -152,7 +152,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Theta from finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"Spectral_r\", vmin=-180, vmax=180)\nm = fsle_custom.display(ax, fsle_custom.grid(\"theta\"), **kw)\nax.grid()\ncb = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Theta from finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"Spectral_r\", vmin=-180, vmax=180)\nm = fsle_custom.display(ax, fsle_custom.grid(\"theta\"), **kw)\nax.grid()\n_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 17668aed..4b35ba38 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nimport py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n# sphinx_gallery_thumbnail_path = '_static/no_image.png'"
+        "import re\n\nimport py_eddy_tracker_sample\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n# sphinx_gallery_thumbnail_path = '_static/no_image.png'"
       ]
     },
     {
@@ -73,7 +73,7 @@
       },
       "outputs": [],
       "source": [
-        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=5, dpi=50)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\n# arguments to reduce compute cost for doucmentation, we display only every 10 days\nkwargs = dict(frames=arange(*a.period)[300:800], interval=90)\n\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
+        "a = Anim(eddy, intern=True, figsize=(8, 3.5), cmap=\"magma_r\", nb_step=5, dpi=50)\na.txt.set_position((17, 34.6))\na.ax.set_xlim(16.5, 23)\na.ax.set_ylim(34.5, 37)\n\n# arguments to get full animation\nkwargs = dict(frames=arange(*a.period)[300:800], interval=90)\n\nani = VideoAnimation(a.fig, a.func_animation, **kwargs)"
       ]
     }
   ],
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index cf20f340..f782518e 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1963,6 +1963,7 @@ def filament(
         Produce filament with concatenation of advection
 
         It's a dummy advection which use only one layer of current
+
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
@@ -2308,7 +2309,6 @@ def filament(
         """
         Produce filament with concatenation of advection
 
-        It's a dummy advection which use only one layer of current
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 68047371..5a01d452 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -128,15 +128,13 @@ def insert_virtual(self):
 
     def keep_tracks_by_date(self, date, nb_days):
         """
-        find tracks which exist at date `date` and lasted at least `nb_days` after.
+        Find tracks which exist at date `date` and lasted at least `nb_days` after.
 
-        if nb_days is negative, it search a tracks which exist at the date,
-            but existed at least `nb_days` before the date
-
-
-        :param int,float date   : date where the tracks must exist
+        :param int,float date: date where the tracks must exist
         :param int,float nb_days: number of time where the tracks must exist. Can be negative
 
+        If nb_days is negative, it search a tracks which exist at the date,
+        but existed at least `nb_days` before the date
         """
 
         time = self.time
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7535a7e4..0c43aac3 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1666,7 +1666,7 @@ def write_file(
             filename = filename.replace(".nc", ".zarr")
         if filename.endswith(".zarr"):
             zarr_flag = True
-        logger.info("Store in %s", filename)
+        logger.info("Store in %s (%d observations)", filename, len(self))
         if zarr_flag:
             handler = zarr.open(filename, "w")
             self.to_zarr(handler, **kwargs)

From a3a47db76594e1edcda5516193a4fcce80cb0f50 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 18 Mar 2021 12:01:20 +0100
Subject: [PATCH 303/441] un index example

---
 examples/02_eddy_identification/pet_uv_profile.py | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 examples/02_eddy_identification/pet_uv_profile.py

diff --git a/examples/02_eddy_identification/pet_uv_profile.py b/examples/02_eddy_identification/pet_uv_profile.py
deleted file mode 100644
index e69de29b..00000000

From 1f0e2a004421b6274d3525df4eda99bcd8dbd327 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 18 Mar 2021 14:29:06 +0100
Subject: [PATCH 304/441] add some informations about area tracker

---
 README.md                                             |  6 ++++++
 examples/16_network/pet_group_anim.py                 |  2 +-
 examples/16_network/pet_segmentation_anim.py          |  2 +-
 src/py_eddy_tracker/featured_tracking/area_tracker.py | 10 ++++++++++
 4 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 4f466b7e..95536d1d 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,12 @@ Method is used in :
 
 ### How do I get set up? ###
 
+#### Short story ####
+```bash
+pip install pyeddytracker
+```
+#### Long story ####
+
 To avoid problems with installation, use of the virtualenv Python virtual environment is recommended.
 
 Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, ...), e.g.:
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 09ab4954..9264282a 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -146,7 +146,7 @@ def update(frame):
 
 # %%
 # Final Result
-# -----------
+# ------------
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0, 0, 1, 1])
 ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 74a94e3c..10f46b66 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -119,7 +119,7 @@ def update(i_frame):
 
 # %%
 # Final Result
-# -----------
+# ------------
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
diff --git a/src/py_eddy_tracker/featured_tracking/area_tracker.py b/src/py_eddy_tracker/featured_tracking/area_tracker.py
index 1b8a2dbb..9e676fc1 100644
--- a/src/py_eddy_tracker/featured_tracking/area_tracker.py
+++ b/src/py_eddy_tracker/featured_tracking/area_tracker.py
@@ -9,6 +9,13 @@
 
 
 class AreaTracker(Model):
+    """
+    Area Tracker will used overlap to track eddy.
+
+    This tracking will used :py:meth:`~py_eddy_tracker.observations.observation.EddiesObservations.match` method
+    to get a similarity index, which could be between [0:1].
+    You could setup this class with `cmin` option to set a minimal value to valid an association.
+    """
 
     __slots__ = ("cmin",)
 
@@ -28,6 +35,9 @@ def needed_variable(cls):
         return vars
 
     def tracking(self, other):
+        """
+        Core method to track
+        """
         shape = (self.shape[0], other.shape[0])
         i, j, c = self.match(other, intern=False)
         cost_mat = ma.array(empty(shape, dtype="f4"), mask=ones(shape, dtype="bool"))

From a7fd059a917520796506ed6c57f0b4dbd8f92d57 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 18 Mar 2021 16:47:42 +0100
Subject: [PATCH 305/441] Modification of quick compare to be called in python

---
 src/py_eddy_tracker/appli/eddies.py | 144 ++++++++++++++++------------
 1 file changed, 82 insertions(+), 62 deletions(-)

diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 11442769..d5a727f9 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -445,6 +445,79 @@ def get_twin(j2, j1):
     return group1, group2
 
 
+def run_compare(ref, others, invalid=1, low=20, high=80, intern=False, **kwargs):
+    groups_ref, groups_other = dict(), dict()
+    for i, (k, other) in enumerate(others.items()):
+        print(f"[{i}] {k} -> {len(other)} obs")
+        gr1, gr2 = get_group(
+            ref,
+            other,
+            *ref.match(other, intern=intern, **kwargs),
+            invalid=invalid,
+            low=low,
+            high=high,
+        )
+        groups_ref[k] = gr1
+        groups_other[k] = gr2
+    return groups_ref, groups_other
+
+
+def display_compare(
+    ref, others, invalid=1, low=20, high=80, area=False, intern=False, **kwargs
+):
+    gr_ref, gr_others = run_compare(
+        ref, others, invalid=invalid, low=low, high=high, intern=intern, **kwargs
+    )
+
+    def display(value, ref=None):
+        outs = list()
+        for v in value:
+            if ref:
+                if area:
+                    outs.append(f"{v / ref * 100:.1f}% ({v:.1f}Mkm²)")
+                else:
+                    outs.append(f"{v/ref * 100:.1f}% ({v})")
+            else:
+                outs.append(v)
+        if area:
+            return "".join([f"{v:^16}" for v in outs])
+        else:
+            return "".join([f"{v:^15}" for v in outs])
+
+    def get_values(v, dataset):
+        if area:
+            area_ = dataset["speed_area" if intern else "effective_area"]
+            return [area_[v_].sum() / 1e12 for v_ in v.values()]
+        else:
+            return [
+                v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()
+            ]
+
+    labels = dict(
+        high=f"{high:0.0f} <= high",
+        low=f"{invalid:0.0f} <= low < {low:0.0f}",
+    )
+
+    keys = [labels.get(key, key) for key in list(gr_ref.values())[0].keys()]
+    print("     ", display(keys))
+    if area:
+        ref_ = ref["speed_area" if intern else "effective_area"].sum() / 1e12
+    else:
+        ref_ = len(ref)
+    for i, v in enumerate(gr_ref.values()):
+        print(f"[{i:2}] ", display(get_values(v, ref), ref=ref_))
+
+    print("     Point of view of study dataset")
+    print("     ", display(keys))
+    for i, (k, v) in enumerate(gr_others.items()):
+        other = others[k]
+        if area:
+            ref_ = other["speed_area" if intern else "effective_area"].sum() / 1e12
+        else:
+            ref_ = len(other)
+        print(f"[{i:2}] ", display(get_values(v, other), ref=ref_))
+
+
 def quick_compare():
     parser = EddyParser(
         "Tool to have a quick comparison between several identification"
@@ -478,23 +551,17 @@ def quick_compare():
 
     ref = EddiesObservations.load_file(args.ref, **kw)
     print(f"[ref] {args.ref} -> {len(ref)} obs")
-    groups_ref, groups_other = dict(), dict()
     others = {other: EddiesObservations.load_file(other, **kw) for other in args.others}
-    for i, other_ in enumerate(args.others):
-        other = others[other_]
-        print(f"[{i}] {other_} -> {len(other)} obs")
-        gr1, gr2 = get_group(
-            ref,
-            other,
-            *ref.match(other, intern=args.intern, minimal_area=args.minimal_area),
-            invalid=args.invalid,
-            low=args.low,
-            high=args.high,
-        )
-        groups_ref[other_] = gr1
-        groups_other[other_] = gr2
 
+    kwargs = dict(
+        invalid=args.invalid,
+        low=args.low,
+        high=args.high,
+        intern=args.intern,
+        minimal_area=args.minimal_area,
+    )
     if args.path_out is not None:
+        groups_ref, groups_other = run_compare(ref, others, **kwargs)
         if not exists(args.path_out):
             mkdir(args.path_out)
         for i, other_ in enumerate(args.others):
@@ -508,51 +575,4 @@ def quick_compare():
                 basename_ = f"ref_{k}.nc"
                 ref.index(v).write_file(filename=f"{dirname_}/{basename_}")
         return
-
-    def display(value, ref=None):
-        outs = list()
-        for v in value:
-            if ref:
-                if args.area:
-                    outs.append(f"{v / ref * 100:.1f}% ({v:.1f}Mkm²)")
-                else:
-                    outs.append(f"{v/ref * 100:.1f}% ({v})")
-            else:
-                outs.append(v)
-        if args.area:
-            return "".join([f"{v:^16}" for v in outs])
-        else:
-            return "".join([f"{v:^15}" for v in outs])
-
-    def get_values(v, dataset):
-        if args.area:
-            area = dataset["speed_area" if args.intern else "effective_area"]
-            return [area[v_].sum() / 1e12 for v_ in v.values()]
-        else:
-            return [
-                v_.sum() if v_.dtype == "bool" else v_.shape[0] for v_ in v.values()
-            ]
-
-    labels = dict(
-        high=f"{args.high:0.0f} <= high",
-        low=f"{args.invalid:0.0f} <= low < {args.low:0.0f}",
-    )
-
-    keys = [labels.get(key, key) for key in gr1.keys()]
-    print("     ", display(keys))
-    if args.area:
-        ref_ = ref["speed_area" if args.intern else "effective_area"].sum() / 1e12
-    else:
-        ref_ = len(ref)
-    for i, v in enumerate(groups_ref.values()):
-        print(f"[{i:2}] ", display(get_values(v, ref), ref=ref_))
-
-    print("     Point of view of study dataset")
-    print("     ", display(keys))
-    for i, (k, v) in enumerate(groups_other.items()):
-        other = others[k]
-        if args.area:
-            ref_ = other["speed_area" if args.intern else "effective_area"].sum() / 1e12
-        else:
-            ref_ = len(other)
-        print(f"[{i:2}] ", display(get_values(v, other), ref=ref_))
+    display_compare(ref, others, **kwargs, area=args.area)

From 3d237a2a5756c634986014f06ec2302894813394 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 19 Mar 2021 12:31:29 +0100
Subject: [PATCH 306/441] Solve bug of interpolation around bound

---
 src/py_eddy_tracker/generic.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index d6915088..62664481 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -258,6 +258,8 @@ def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
         x_ = (x[i] - x_ref) / x_step
         y_ = (y[i] - y_ref) / y_step
         i0 = int(floor(x_))
+        # To keep original value if wrapping apply to compute xd
+        i0_ = i0
         j0 = int(floor(y_))
         # corner are the same need only a new xd and yd
         if i0 != i0_old or j0 != j0_old:
@@ -286,7 +288,7 @@ def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
         if masked:
             z[i] = nan
         else:
-            xd = x_ - i0
+            xd = x_ - i0_
             yd = y_ - j0
             z[i] = (z00 * (1 - xd) + (z10 * xd)) * (1 - yd) + (
                 z01 * (1 - xd) + z11 * xd

From c4ad072c582d6b2efb487218f7ec85950fcb4c05 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Tue, 16 Mar 2021 17:14:02 +0100
Subject: [PATCH 307/441] optimisation on time

---
 src/py_eddy_tracker/observations/network.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0f25ace4..e8e9b265 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -490,6 +490,8 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
 
         # TODO : fill mappables dict
         y_seg = dict()
+        _time = self.time
+
         if field is not None and method != "all":
             for i, b0, _ in self.iter_on("segment"):
                 y = self[field][i]
@@ -497,7 +499,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                     y_seg[b0] = y.mean() * factor
         mappables = dict()
         for i, b0, b1 in self.iter_on("segment"):
-            x = self.time[i]
+            x = _time[i]
             if x.shape[0] == 0:
                 continue
 
@@ -532,7 +534,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                         else y_seg[seg_next]
                     )
                 )
-                ax.plot((x[-1], self.time[i_n]), (y0, y1), **event_kw)[0]
+                ax.plot((x[-1], _time[i_n]), (y0, y1), **event_kw)[0]
                 events["merging"].append((x[-1], y0))
 
             if i_p != -1:
@@ -548,7 +550,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                         else y_seg[seg_previous]
                     )
                 )
-                ax.plot((x[0], self.time[i_p]), (y0, y1), **event_kw)[0]
+                ax.plot((x[0], _time[i_p]), (y0, y1), **event_kw)[0]
                 events["spliting"].append((x[0], y0))
 
             j += 1

From b2e5291922da56a0f19a3796ffbe2bdd82dfb4e5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 17 Mar 2021 09:23:51 +0100
Subject: [PATCH 308/441] add function correct_close_events

---
 src/py_eddy_tracker/observations/network.py | 53 +++++++++++++++++++++
 1 file changed, 53 insertions(+)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index e8e9b265..47c468a9 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -240,6 +240,59 @@ def from_split_network(cls, group_dataset, indexs, **kwargs):
     def infos(self, label=""):
         return f"{len(self)} obs {unique(self.segment).shape[0]} segments"
 
+    def correct_close_events(self, nb_days_max=20):
+
+        _time = self.time
+        segment = self.segment.copy()
+        segments_connexion = dict()
+
+        previous_obs, next_obs = self.previous_obs, self.next_obs
+
+        # record for every segments, the slice, indice of next obs & indice of previous obs
+        for i, seg, _ in self.iter_on(self.segment):
+            if i.start == i.stop:
+                continue
+
+            i_p, i_n = previous_obs[i.start], next_obs[i.stop - 1]
+            segments_connexion[seg] = [i, i_p, i_n]
+
+        for seg in sorted(segments_connexion.keys()):
+            seg_slice, i_seg_p, i_seg_n = segments_connexion[seg]
+            n_seg = segment[i_seg_n]
+
+            # if segment has splitting
+            if i_seg_n != -1:
+                seg2_slice, i2_seg_p, i2_seg_n = segments_connexion[n_seg]
+                p2_seg = segment[i2_seg_p]
+
+                # if it merge on the first in a certain time
+                if (p2_seg == seg) and (_time[i_seg_n] - _time[i2_seg_p] < nb_days_max):
+
+                    segment[i_seg_n : seg2_slice.stop] = seg
+                    previous_obs[i_seg_n] = seg_slice.stop - 1
+
+        self.segment[:] = segment
+        self.next_obs[:] = next_obs
+        self.previous_obs[:] = previous_obs
+
+        self.sort()
+
+    def sort(self, order=("track", "segment", "time")):
+        """
+        sort observations
+
+        :param tuple order: order or sorting. Passed to `np.argsort`
+        """
+
+        index_order = self.obs.argsort(order=order)
+        for field in self.elements:
+            self[field][:] = self[field][index_order]
+
+        translate = -ones(index_order.max() + 2, dtype="i4")
+        translate[index_order] = arange(index_order.shape[0])
+        self.next_obs[:] = translate[self.next_obs]
+        self.previous_obs[:] = translate[self.previous_obs]
+
     def obs_relative_order(self, i_obs):
         self.only_one_network()
         return self.segment_relative_order(self.segment[i_obs])

From 6824ad7aeea7d7f1a78904e5e646de9fb7bbda6b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 17 Mar 2021 13:48:38 +0100
Subject: [PATCH 309/441] correction correct_close_events, and add figure to
 python example using it

---
 examples/16_network/pet_relative.py         | 15 ++++++++++++++
 src/py_eddy_tracker/observations/network.py | 22 ++++++++++++++++++---
 2 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 4d62987f..6610b763 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -136,6 +136,21 @@
 ax.set_title(f"Clean network ({n_clean.infos()})")
 _ = n_clean.display_timeline(ax)
 
+
+# %%
+# change splittint-merging events
+# ------------------
+# change event where seg A split to B, then A merge into B, to A split to B then B merge into A
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 12), dpi=120)
+
+ax1.set_title(f"Clean network ({n_clean.infos()})")
+n_clean.display_timeline(ax1)
+
+clean_modified = n_clean.copy()
+clean_modified.correct_close_events(100)
+ax2.set_title(f"resplitted network ({clean_modified.infos()})")
+_ = clean_modified.display_timeline(ax2)
+
 # %%
 # For further figure we will use clean path
 n = n_clean
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 47c468a9..ff52c571 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -241,6 +241,15 @@ def infos(self, label=""):
         return f"{len(self)} obs {unique(self.segment).shape[0]} segments"
 
     def correct_close_events(self, nb_days_max=20):
+        """
+        transform event where
+            segment A split to B, then A merge into B
+        to
+            segment A split to B, then B merge to A
+        these events are filtered with `nb_days_max`, which the event have to take place in less than `nb_days_max`
+
+        :param float nb_days_max: maximum time to search for splitting-merging event
+        """
 
         _time = self.time
         segment = self.segment.copy()
@@ -258,6 +267,9 @@ def correct_close_events(self, nb_days_max=20):
 
         for seg in sorted(segments_connexion.keys()):
             seg_slice, i_seg_p, i_seg_n = segments_connexion[seg]
+
+            # the segment ID has to be corrected, because we may have changed it since
+            seg_corrected = segment[seg_slice.stop - 1]
             n_seg = segment[i_seg_n]
 
             # if segment has splitting
@@ -266,11 +278,15 @@ def correct_close_events(self, nb_days_max=20):
                 p2_seg = segment[i2_seg_p]
 
                 # if it merge on the first in a certain time
-                if (p2_seg == seg) and (_time[i_seg_n] - _time[i2_seg_p] < nb_days_max):
-
-                    segment[i_seg_n : seg2_slice.stop] = seg
+                if (p2_seg == seg_corrected) and (
+                    _time[i_seg_n] - _time[i2_seg_p] < nb_days_max
+                ):
+                    my_slice = slice(i_seg_n, seg2_slice.stop)
+                    segment[my_slice] = seg_corrected
                     previous_obs[i_seg_n] = seg_slice.stop - 1
 
+                    segments_connexion[seg_corrected][0] = my_slice
+
         self.segment[:] = segment
         self.next_obs[:] = next_obs
         self.previous_obs[:] = previous_obs

From 14934f25f5e059dd6c59161e3bb3bae9e9d99314 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 19 Mar 2021 10:23:23 +0100
Subject: [PATCH 310/441] correction correct_close_events and percent floating

correct_close_events used segments and could not work with multiple network.
Now it use segment_track_array and keep a track of changes, then apply changes on segments.

changed precision on masking floating percent
---
 src/py_eddy_tracker/observations/network.py | 20 +++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index ff52c571..b6d5c359 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -252,13 +252,17 @@ def correct_close_events(self, nb_days_max=20):
         """
 
         _time = self.time
-        segment = self.segment.copy()
+        # segment used to correct and track changes
+        segment = self.segment_track_array.copy()
+        # final segment used to copy into self.segment
+        segment_copy = self.segment
+
         segments_connexion = dict()
 
         previous_obs, next_obs = self.previous_obs, self.next_obs
 
         # record for every segments, the slice, indice of next obs & indice of previous obs
-        for i, seg, _ in self.iter_on(self.segment):
+        for i, seg, _ in self.iter_on(segment):
             if i.start == i.stop:
                 continue
 
@@ -270,6 +274,10 @@ def correct_close_events(self, nb_days_max=20):
 
             # the segment ID has to be corrected, because we may have changed it since
             seg_corrected = segment[seg_slice.stop - 1]
+
+            # we keep the real segment number
+            seg_corrected_copy = segment_copy[seg_slice.stop - 1]
+
             n_seg = segment[i_seg_n]
 
             # if segment has splitting
@@ -282,13 +290,15 @@ def correct_close_events(self, nb_days_max=20):
                     _time[i_seg_n] - _time[i2_seg_p] < nb_days_max
                 ):
                     my_slice = slice(i_seg_n, seg2_slice.stop)
+                    # correct the factice segment
                     segment[my_slice] = seg_corrected
+                    # correct the good segment
+                    segment_copy[my_slice] = seg_corrected_copy
                     previous_obs[i_seg_n] = seg_slice.stop - 1
 
                     segments_connexion[seg_corrected][0] = my_slice
 
-        self.segment[:] = segment
-        self.next_obs[:] = next_obs
+        self.segment[:] = segment_copy
         self.previous_obs[:] = previous_obs
 
         self.sort()
@@ -1116,7 +1126,7 @@ def extract_with_mask(self, mask):
             logger.warning("Empty dataset will be created")
         else:
             logger.info(
-                f"{nb_obs} observations will be extract ({nb_obs * 100. / self.shape[0]}%)"
+                f"{nb_obs} observations will be extract ({nb_obs / self.shape[0]:.3%})"
             )
             for field in self.obs.dtype.descr:
                 if field in ("next_obs", "previous_obs"):

From d41f06cf73ba3d257cda6e55f24c1042f9906fda Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 19 Mar 2021 10:52:02 +0100
Subject: [PATCH 311/441] add find_link

add function to search which observations is directly linked with observation choosen.
---
 examples/16_network/pet_relative.py         | 30 +++++++
 src/py_eddy_tracker/observations/network.py | 96 +++++++++++++++++++++
 2 files changed, 126 insertions(+)

diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 6610b763..ff8c353b 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -151,6 +151,36 @@
 ax2.set_title(f"resplitted network ({clean_modified.infos()})")
 _ = clean_modified.display_timeline(ax2)
 
+
+# %%
+# keep only observations where water could propagate from an observation
+# ----------------------------------------------------------------------
+
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 12), dpi=120)
+i_observation = 600
+only_linked = n_clean.find_link(i_observation)
+
+for ax, dataset in zip([ax1, ax2], [n_clean, only_linked]):
+    dataset.display_timeline(
+        ax, field="segment", marker="+", lw=2, markersize=5, colors_mode="y"
+    )
+    ax.scatter(
+        n_clean.time[i_observation],
+        n_clean.segment[i_observation],
+        marker="s",
+        s=50,
+        color="black",
+        zorder=200,
+        label="observation start",
+        alpha=0.6,
+    )
+    ax.legend()
+
+ax1.set_title(f"full example ({n_clean.infos()})")
+ax2.set_title(f"only linked observations ({only_linked.infos()})")
+ax2.set_xlim(ax1.get_xlim())
+ax2.set_ylim(ax1.get_ylim())
+
 # %%
 # For further figure we will use clean path
 n = n_clean
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index b6d5c359..0b4c2e41 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -323,6 +323,102 @@ def obs_relative_order(self, i_obs):
         self.only_one_network()
         return self.segment_relative_order(self.segment[i_obs])
 
+    def find_link(self, i_observations, forward=True, backward=False):
+        """
+        find all observations where obs `i_observation` could be
+        in future or past.
+
+        if forward=True, search all observation  where water
+        from obs "i_observation" could go
+
+        if backward=True, search all observation
+        where water from obs `i_observation` could come from
+
+        :param int, iterable(int) i_observation:
+            indices of observation. Can be
+            int, or iterable of int.
+        :param bool forward, backward:
+            if forward, search observations after obs.
+            else mode==backward search before obs
+
+        """
+
+        i_obs = (
+            [i_observations]
+            if not hasattr(i_observations, "__iter__")
+            else i_observations
+        )
+
+        segment = self.segment_track_array
+        previous_obs, next_obs = self.previous_obs, self.next_obs
+
+        segments_connexion = dict()
+
+        for i_slice, seg, _ in self.iter_on(segment):
+            if i_slice.start == i_slice.stop:
+                continue
+
+            i_p, i_n = previous_obs[i_slice.start], next_obs[i_slice.stop - 1]
+            p_seg, n_seg = segment[i_p], segment[i_n]
+
+            # dumping slice into dict
+            if seg not in segments_connexion:
+                segments_connexion[seg] = [i_slice, [], []]
+            else:
+                segments_connexion[seg][0] = i_slice
+
+            if i_p != -1:
+
+                if p_seg not in segments_connexion:
+                    segments_connexion[p_seg] = [None, [], []]
+
+                # backward
+                segments_connexion[seg][2].append((i_slice.start, i_p, p_seg))
+                # forward
+                segments_connexion[p_seg][1].append((i_p, i_slice.start, seg))
+
+            if i_n != -1:
+                if n_seg not in segments_connexion:
+                    segments_connexion[n_seg] = [None, [], []]
+
+                # forward
+                segments_connexion[seg][1].append((i_slice.stop - 1, i_n, n_seg))
+                # backward
+                segments_connexion[n_seg][2].append((i_n, i_slice.stop - 1, seg))
+
+        mask = zeros(segment.size, dtype=bool)
+
+        def func_forward(seg, indice):
+            seg_slice, _forward, _ = segments_connexion[seg]
+
+            mask[indice : seg_slice.stop] = True
+            for i_begin, i_end, seg2 in _forward:
+                if i_begin < indice:
+                    continue
+
+                if not mask[i_end]:
+                    func_forward(seg2, i_end)
+
+        def func_backward(seg, indice):
+            seg_slice, _, _backward = segments_connexion[seg]
+
+            mask[seg_slice.start : indice + 1] = True
+            for i_begin, i_end, seg2 in _backward:
+                if i_begin > indice:
+                    continue
+
+                if not mask[i_end]:
+                    func_backward(seg2, i_end)
+
+        for indice in i_obs:
+            if forward:
+                func_forward(segment[indice], indice)
+
+            if backward:
+                func_backward(segment[indice], indice)
+
+        return self.extract_with_mask(mask)
+
     def connexions(self, multi_network=False):
         """
         create dictionnary for each segments, gives the segments which interact with

From d01bb3f876f19d7c689db83f52c252d59c864e19 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 19 Mar 2021 15:20:14 +0100
Subject: [PATCH 312/441] fix typo in doc

---
 src/py_eddy_tracker/observations/network.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0b4c2e41..2caba5a0 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -243,9 +243,12 @@ def infos(self, label=""):
     def correct_close_events(self, nb_days_max=20):
         """
         transform event where
-            segment A split to B, then A merge into B
+        segment A split to B, then A merge into B
+
         to
-            segment A split to B, then B merge to A
+
+        segment A split to B, then B merge to A
+
         these events are filtered with `nb_days_max`, which the event have to take place in less than `nb_days_max`
 
         :param float nb_days_max: maximum time to search for splitting-merging event
@@ -334,7 +337,7 @@ def find_link(self, i_observations, forward=True, backward=False):
         if backward=True, search all observation
         where water from obs `i_observation` could come from
 
-        :param int, iterable(int) i_observation:
+        :param int,iterable(int) i_observation:
             indices of observation. Can be
             int, or iterable of int.
         :param bool forward, backward:

From fe26b6e6ebe6a1ffb92f17ba258c502aaaa10424 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 22 Mar 2021 15:43:56 +0100
Subject: [PATCH 313/441] Add option to subsample network

---
 notebooks/README.md                  |  2 +-
 src/py_eddy_tracker/appli/network.py | 11 ++++++++++-
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/notebooks/README.md b/notebooks/README.md
index bbf88a8b..023dd1e2 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,4 +1,4 @@
 # rm build/sphinx/ doc/python_module/ doc/gen_modules/ -rf
-# rm doc/_autosummary/ doc/gen_modules - rf
+# rm doc/_autosummary/ doc/gen_modules -rf
 python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 35c86c45..cf31506d 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -74,7 +74,16 @@ def subset_network():
         help="Nb of day which must be cover by network, first minimum number of day and last maximum number of day,"
         "if value is negative, this bound won't be used",
     )
+    parser.add_argument(
+        "--remove_dead_end",
+        nargs=2,
+        type=int,
+        help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
+    )
     args = parser.parse_args()
     n = NetworkObservations.load_file(args.input)
-    n = n.longer_than(*args.length)
+    if args.length is not None:
+        n = n.longer_than(*args.length)
+    if args.remove_dead_end is not None:
+        n = n.remove_dead_end(*args.remove_dead_end)
     n.write_file(filename=args.out)

From 3b3d4b551cfc12011f58a2d5f2d86bf9bc72f2a9 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 22 Mar 2021 15:44:50 +0100
Subject: [PATCH 314/441] simplification to get u/v

---
 src/py_eddy_tracker/dataset/grid.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index f782518e..60e6ddcf 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1923,10 +1923,10 @@ def uv_for_advection(self, u_name, v_name, time_step=600, backward=False, factor
         :param str,array v_name: V field to advect obs
         :param int time_step: Number of second for each advection
         """
-        u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy() * factor
-        v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy() * factor
+        u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy()
+        v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy()
         # N seconds / 1 degrees in m
-        coef = time_step * 180 / pi / self.EARTH_RADIUS
+        coef = time_step * 180 / pi / self.EARTH_RADIUS * factor
         u *= coef / cos(radians(self.y_c))
         v *= coef
         if backward:

From 80624d200a1636ddc7be1ae020bf0efecd837973 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 22 Mar 2021 15:45:26 +0100
Subject: [PATCH 315/441] Get obs in a list of polygons

---
 .../observations/observation.py               | 20 +++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0c43aac3..88397fc6 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1693,6 +1693,26 @@ def set_global_attr_netcdf(self, h_nc):
         for key, item in self.global_attr.items():
             h_nc.setncattr(key, item)
 
+    def mask_from_polygons(self, polygons):
+        """
+        Return mask for all observation in one of polygons list
+
+        :param list((array,array)) polygons: list of x/y array which be used to identify observations
+        """
+        x, y = polygons[0]
+        m = insidepoly(
+            self.longitude, self.latitude, x.reshape((1, -1)), y.reshape((1, -1))
+        )
+        for x, y in polygons[1:]:
+            m_ = ~m
+            m[m_] = insidepoly(
+                self.longitude[m_],
+                self.latitude[m_],
+                x.reshape((1, -1)),
+                y.reshape((1, -1)),
+            )
+        return m
+
     def extract_with_area(self, area, **kwargs):
         """
         Extract geographically with a bounding box.

From 0e0b44f678c0693ed03dc0858ce1d4d01d8c1a0d Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 22 Mar 2021 18:40:12 +0100
Subject: [PATCH 316/441] add method to remove trash (id == 0)

---
 src/py_eddy_tracker/observations/network.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 2caba5a0..a02decb6 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1135,6 +1135,9 @@ def fully_connected(self):
         self.only_one_network()
         return self.tag_segment().shape[0] == 1
 
+    def remove_trash(self):
+        return self.extract_with_mask(self.track != 0)
+
     def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         """
         This function will draw path of each trajectory
@@ -1152,7 +1155,7 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         if "label" in kwargs:
             kwargs["label"] = self.format_label(kwargs["label"])
         j = 0
-        for i, _, _ in self.iter_on("segment"):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             nb = i.stop - i.start
             if nb == 0:
                 continue

From 790cc10ecd039a11a2d23f7f28629998e2d03068 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 23 Mar 2021 15:22:52 +0100
Subject: [PATCH 317/441] Add method to normalize longitude for network

---
 src/py_eddy_tracker/observations/network.py | 27 +++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index a02decb6..1daf100b 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -542,6 +542,33 @@ def close_network(self, other, nb_obs_min=10, **kwargs):
             m[other.network_slice(i)] = True
         return other.extract_with_mask(m)
 
+    def normalize_longitude(self):
+        """Normalize all longitude
+
+        Normalize longitude field and in the same range :
+        - longitude_max
+        - contour_lon_e (how to do if in raw)
+        - contour_lon_s (how to do if in raw)
+        """
+        i_start, i_stop, _ = self.index_network
+        lon0 = (self.lon[i_start] - 180).repeat(i_stop - i_start)
+        logger.debug("Normalize longitude")
+        self.lon[:] = (self.lon - lon0) % 360 + lon0
+        if "lon_max" in self.obs.dtype.names:
+            logger.debug("Normalize longitude_max")
+            self.lon_max[:] = (self.lon_max - self.lon + 180) % 360 + self.lon - 180
+        if not self.raw_data:
+            if "contour_lon_e" in self.obs.dtype.names:
+                logger.debug("Normalize effective contour longitude")
+                self.contour_lon_e[:] = (
+                    (self.contour_lon_e.T - self.lon + 180) % 360 + self.lon - 180
+                ).T
+            if "contour_lon_s" in self.obs.dtype.names:
+                logger.debug("Normalize speed contour longitude")
+                self.contour_lon_s[:] = (
+                    (self.contour_lon_s.T - self.lon + 180) % 360 + self.lon - 180
+                ).T
+
     def numbering_segment(self, start=0):
         """
         New numbering of segment

From 9016b1177782070f52daaff97b1b91858d967656 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 23 Mar 2021 17:47:13 +0100
Subject: [PATCH 318/441] Bug correction in wrapping in advection

---
 src/py_eddy_tracker/dataset/grid.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 60e6ddcf..9bca18e6 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2005,7 +2005,7 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
-    nb_x_ = x_g.size - 2
+    nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
     # cache
     i_cache, j_cache = -1000000, -1000000
@@ -2108,7 +2108,7 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
-    nb_x_ = x_g.size - 2
+    nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
     # Indices which should be never exist
     i0_old, j0_old = -100000, -100000
@@ -2472,7 +2472,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
-    nb_x_ = x_g.size - 2
+    nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
     # Indices which should be never exist
     i0_old, j0_old = -100000, -100000
@@ -2598,7 +2598,7 @@ def advect_t_rk4(
     x_ref, y_ref = x_g[0], y_g[0]
     x_step, y_step = x_g[1] - x_ref, y_g[1] - y_ref
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
-    nb_x_ = x_g.size - 2
+    nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
     # cache
     i_cache, j_cache = -1000000, -1000000

From 930c9c6b6f8513c543408c5e6c19c6435851c72c Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 24 Mar 2021 14:23:44 +0100
Subject: [PATCH 319/441] Add another LAVD example

---
 .../pet_lavd_detection.py                     | 218 ++++++++++++++++++
 examples/16_network/pet_relative.py           |  65 +++---
 notebooks/README.md                           |   3 +-
 .../pet_lavd_detection.ipynb                  | 202 ++++++++++++++++
 .../16_network/pet_relative.ipynb             |  36 +++
 src/py_eddy_tracker/eddy_feature.py           |   1 +
 src/py_eddy_tracker/observations/network.py   |   2 +-
 7 files changed, 487 insertions(+), 40 deletions(-)
 create mode 100644 examples/07_cube_manipulation/pet_lavd_detection.py
 create mode 100644 notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb

diff --git a/examples/07_cube_manipulation/pet_lavd_detection.py b/examples/07_cube_manipulation/pet_lavd_detection.py
new file mode 100644
index 00000000..4f46b78f
--- /dev/null
+++ b/examples/07_cube_manipulation/pet_lavd_detection.py
@@ -0,0 +1,218 @@
+"""
+LAVD detection and geometric detection
+======================================
+
+Naive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation).
+In the current example we didn't remove a mean vorticity.
+
+Method are described here:
+
+    - Abernathey, Ryan, and George Haller. "Transport by Lagrangian Vortices in the Eastern Pacific",
+      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,
+      https://doi.org/10.1175/JPO-D-17-0102.1
+    - `Transport by Coherent Lagrangian Vortices`_,
+      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,
+      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop
+
+.. _Transport by Coherent Lagrangian Vortices:
+    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf
+
+"""
+from datetime import datetime
+
+from matplotlib import pyplot as plt
+from numpy import arange, isnan, ma, meshgrid, zeros
+
+import py_eddy_tracker.gui
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset
+
+start_logger().setLevel("ERROR")
+
+
+# %%
+class LAVDGrid(RegularGridDataset):
+    def init_speed_coef(self, uname="u", vname="v"):
+        """Hack to be able to identify eddy with LAVD field"""
+        self._speed_ev = self.grid("lavd")
+
+    @classmethod
+    def from_(cls, x, y, z):
+        z.mask += isnan(z.data)
+        datas = dict(lavd=z, lon=x, lat=y)
+        return cls.with_array(coordinates=("lon", "lat"), datas=datas, centered=True)
+
+
+# %%
+def start_ax(title="", dpi=90):
+    fig = plt.figure(figsize=(12, 5), dpi=dpi)
+    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection="full_axes")
+    ax.set_xlim(-6, 36), ax.set_ylim(31, 45)
+    ax.set_title(title)
+    return fig, ax, ax.text(3, 32, "", fontsize=20)
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        cb = plt.colorbar(
+            mappable,
+            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),
+            orientation="horizontal",
+        )
+        cb.set_label("LAVD at initial position")
+        return cb
+
+
+kw_lavd = dict(vmin=0, vmax=2e-5, cmap="viridis")
+
+# %%
+# Data
+# ----
+
+# Load data cube of 3 month
+c = GridCollection.from_netcdf_cube(
+    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    "longitude",
+    "latitude",
+    "time",
+    heigth="adt",
+)
+
+# Add vorticity at each time step
+for g in c:
+    u_y = g.compute_stencil(g.grid("u"), vertical=True)
+    v_x = g.compute_stencil(g.grid("v"))
+    g.vars["vort"] = v_x - u_y
+
+# %%
+# Particles
+# ---------
+
+# Time properties, for example with advection only 25 days
+nb_days, step_by_day = 25, 6
+nb_time = step_by_day * nb_days
+kw_p = dict(nb_step=1, time_step=86400 / step_by_day)
+t0 = 20236
+t0_grid = c[t0]
+# Geographic properties, we use a coarser resolution for time consuming reasons
+step = 1 / 32.0
+x_g, y_g = arange(-6, 36, step), arange(30, 46, step)
+x0, y0 = meshgrid(x_g, y_g)
+original_shape = x0.shape
+x0, y0 = x0.reshape(-1), y0.reshape(-1)
+# Get all particles in defined area
+m = ~isnan(t0_grid.interp("vort", x0, y0))
+x0, y0 = x0[m], y0[m]
+print(f"{x0.size} particles advected")
+# Gridded mask
+m = m.reshape(original_shape)
+
+# %%
+# LAVD forward (dynamic field)
+# ----------------------------
+lavd = zeros(original_shape)
+lavd_ = lavd[m]
+p = c.advect(x0.copy(), y0.copy(), "u", "v", t_init=t0, **kw_p)
+for _ in range(nb_time):
+    t, x, y = p.__next__()
+    lavd_ += abs(c.interp("vort", t / 86400.0, x, y))
+lavd[m] = lavd_ / nb_time
+# Put LAVD result in a standard py eddy tracker grid
+lavd_forward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)
+# Display
+fig, ax, _ = start_ax("LAVD with a forward advection")
+mappable = lavd_forward.display(ax, "lavd", **kw_lavd)
+_ = update_axes(ax, mappable)
+
+# %%
+# LAVD backward (dynamic field)
+# -----------------------------
+lavd = zeros(original_shape)
+lavd_ = lavd[m]
+p = c.advect(x0.copy(), y0.copy(), "u", "v", t_init=t0, backward=True, **kw_p)
+for i in range(nb_time):
+    t, x, y = p.__next__()
+    lavd_ += abs(c.interp("vort", t / 86400.0, x, y))
+lavd[m] = lavd_ / nb_time
+# Put LAVD result in a standard py eddy tracker grid
+lavd_backward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)
+# Display
+fig, ax, _ = start_ax("LAVD with a backward advection")
+mappable = lavd_backward.display(ax, "lavd", **kw_lavd)
+_ = update_axes(ax, mappable)
+
+# %%
+# LAVD forward (static field)
+# ---------------------------
+lavd = zeros(original_shape)
+lavd_ = lavd[m]
+p = t0_grid.advect(x0.copy(), y0.copy(), "u", "v", **kw_p)
+for _ in range(nb_time):
+    x, y = p.__next__()
+    lavd_ += abs(t0_grid.interp("vort", x, y))
+lavd[m] = lavd_ / nb_time
+# Put LAVD result in a standard py eddy tracker grid
+lavd_forward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)
+# Display
+fig, ax, _ = start_ax("LAVD with a forward advection on a static velocity field")
+mappable = lavd_forward_static.display(ax, "lavd", **kw_lavd)
+_ = update_axes(ax, mappable)
+
+# %%
+# LAVD backward (static field)
+# ----------------------------
+lavd = zeros(original_shape)
+lavd_ = lavd[m]
+p = t0_grid.advect(x0.copy(), y0.copy(), "u", "v", backward=True, **kw_p)
+for i in range(nb_time):
+    x, y = p.__next__()
+    lavd_ += abs(t0_grid.interp("vort", x, y))
+lavd[m] = lavd_ / nb_time
+# Put LAVD result in a standard py eddy tracker grid
+lavd_backward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)
+# Display
+fig, ax, _ = start_ax("LAVD with a backward advection on a static velocity field")
+mappable = lavd_backward_static.display(ax, "lavd", **kw_lavd)
+_ = update_axes(ax, mappable)
+
+# %%
+# Contourdetection
+# ----------------
+# To extract contour from LAVD grid, we will used method design for SSH, with some hacks and adapted options.
+# It will produce false amplitude and speed.
+kw_ident = dict(
+    force_speed_unit="m/s",
+    force_height_unit="m",
+    pixel_limit=(40, 200000),
+    date=datetime(2005, 5, 18),
+    uname=None,
+    vname=None,
+    grid_height="lavd",
+    shape_error=70,
+    step=1e-6,
+)
+fig, ax, _ = start_ax("Detection of eddies with several method")
+t0_grid.bessel_high_filter("adt", 700)
+a, c = t0_grid.eddy_identification(
+    "adt", "u", "v", kw_ident["date"], step=0.002, shape_error=70
+)
+kw_ed = dict(ax=ax, intern=True, ref=-10)
+a.filled(
+    facecolors="#FFEFCD", label="Anticyclonic SSH detection {nb_obs} eddies", **kw_ed
+)
+c.filled(facecolors="#DEDEDE", label="Cyclonic SSH detection {nb_obs} eddies", **kw_ed)
+kw_cont = dict(ax=ax, extern_only=True, ls="-", ref=-10)
+forward, _ = lavd_forward.eddy_identification(**kw_ident)
+forward.display(label="LAVD forward {nb_obs} eddies", color="g", **kw_cont)
+backward, _ = lavd_backward.eddy_identification(**kw_ident)
+backward.display(label="LAVD backward {nb_obs} eddies", color="r", **kw_cont)
+forward, _ = lavd_forward_static.eddy_identification(**kw_ident)
+forward.display(label="LAVD forward static {nb_obs} eddies", color="cyan", **kw_cont)
+backward, _ = lavd_backward_static.eddy_identification(**kw_ident)
+backward.display(
+    label="LAVD backward static {nb_obs} eddies", color="orange", **kw_cont
+)
+ax.legend()
+update_axes(ax)
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index ff8c353b..456b008d 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -136,54 +136,46 @@
 ax.set_title(f"Clean network ({n_clean.infos()})")
 _ = n_clean.display_timeline(ax)
 
+# %%
+# For further figure we will use clean path
+n = n_clean
 
 # %%
-# change splittint-merging events
-# ------------------
+# Change splitting-merging events
+# -------------------------------
 # change event where seg A split to B, then A merge into B, to A split to B then B merge into A
-fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 12), dpi=120)
-
-ax1.set_title(f"Clean network ({n_clean.infos()})")
-n_clean.display_timeline(ax1)
+fig = plt.figure(figsize=(15, 12))
+ax = fig.add_axes([0.04, 0.54, 0.90, 0.40])
+ax.set_title(f"Clean network ({n.infos()})")
+n.display_timeline(ax)
 
-clean_modified = n_clean.copy()
-clean_modified.correct_close_events(100)
-ax2.set_title(f"resplitted network ({clean_modified.infos()})")
-_ = clean_modified.display_timeline(ax2)
+clean_modified = n.copy()
+# If it's happen in less than 40 days
+clean_modified.correct_close_events(40)
 
+ax = fig.add_axes([0.04, 0.04, 0.90, 0.40])
+ax.set_title(f"resplitted network ({clean_modified.infos()})")
+_ = clean_modified.display_timeline(ax)
 
 # %%
-# keep only observations where water could propagate from an observation
+# Keep only observations where water could propagate from an observation
 # ----------------------------------------------------------------------
-
-fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 12), dpi=120)
 i_observation = 600
-only_linked = n_clean.find_link(i_observation)
-
-for ax, dataset in zip([ax1, ax2], [n_clean, only_linked]):
-    dataset.display_timeline(
-        ax, field="segment", marker="+", lw=2, markersize=5, colors_mode="y"
-    )
-    ax.scatter(
-        n_clean.time[i_observation],
-        n_clean.segment[i_observation],
-        marker="s",
-        s=50,
-        color="black",
-        zorder=200,
-        label="observation start",
-        alpha=0.6,
-    )
+only_linked = n.find_link(i_observation)
+
+fig = plt.figure(figsize=(15, 12))
+ax1 = fig.add_axes([0.04, 0.54, 0.90, 0.40])
+ax2 = fig.add_axes([0.04, 0.04, 0.90, 0.40])
+
+kw = dict(marker="s", s=300, color="black", zorder=200, label="observation start")
+for ax, dataset in zip([ax1, ax2], [n, only_linked]):
+    dataset.display_timeline(ax, field="segment", lw=2, markersize=5, colors_mode="y")
+    ax.scatter(n.time[i_observation], n.segment[i_observation], **kw)
     ax.legend()
 
-ax1.set_title(f"full example ({n_clean.infos()})")
+ax1.set_title(f"full example ({n.infos()})")
 ax2.set_title(f"only linked observations ({only_linked.infos()})")
-ax2.set_xlim(ax1.get_xlim())
-ax2.set_ylim(ax1.get_ylim())
-
-# %%
-# For further figure we will use clean path
-n = n_clean
+_ = ax2.set_xlim(ax1.get_xlim()), ax2.set_ylim(ax1.get_ylim())
 
 # %%
 # Keep close relative
@@ -299,7 +291,6 @@
 ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 m1
 
-
 # %%
 # Get spliting event
 # ------------------
diff --git a/notebooks/README.md b/notebooks/README.md
index 023dd1e2..fd8971aa 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,4 +1,3 @@
-# rm build/sphinx/ doc/python_module/ doc/gen_modules/ -rf
-# rm doc/_autosummary/ doc/gen_modules -rf
+# rm build/sphinx/ doc/python_module/ doc/gen_modules/ doc/_autosummary/ -rf
 python setup.py build_sphinx
 rsync -vrltp doc/python_module notebooks/.   --include '*/' --include '*.ipynb' --exclude '*' --prune-empty-dirs
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
new file mode 100644
index 00000000..626dcada
--- /dev/null
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -0,0 +1,202 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# LAVD detection and geometric detection\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation).\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, isnan, ma, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class LAVDGrid(RegularGridDataset):\n    def init_speed_coef(self, uname=\"u\", vname=\"v\"):\n        \"\"\"Hack to be able to identify eddy with LAVD field\"\"\"\n        self._speed_ev = self.grid(\"lavd\")\n\n    @classmethod\n    def from_(cls, x, y, z):\n        z.mask += isnan(z.data)\n        datas = dict(lavd=z, lon=x, lat=y)\n        return cls.with_array(coordinates=(\"lon\", \"lat\"), datas=datas, centered=True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(12, 5), dpi=dpi)\n    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection=\"full_axes\")\n    ax.set_xlim(-6, 36), ax.set_ylim(31, 45)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"LAVD at initial position\")\n        return cb\n\n\nkw_lavd = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Data\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Load data cube of 3 month\nc = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)\n\n# Add vorticity at each time step\nfor g in c:\n    u_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\n    v_x = g.compute_stencil(g.grid(\"v\"))\n    g.vars[\"vort\"] = v_x - u_y"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Particles\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Time properties, for example with advection only 25 days\nnb_days, step_by_day = 25, 6\nnb_time = step_by_day * nb_days\nkw_p = dict(nb_step=1, time_step=86400 / step_by_day)\nt0 = 20236\nt0_grid = c[t0]\n# Geographic properties, we use a coarser resolution for time consuming reasons\nstep = 1 / 32.0\nx_g, y_g = arange(-6, 36, step), arange(30, 46, step)\nx0, y0 = meshgrid(x_g, y_g)\noriginal_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Get all particles in defined area\nm = ~isnan(t0_grid.interp(\"vort\", x0, y0))\nx0, y0 = x0[m], y0[m]\nprint(f\"{x0.size} particles advected\")\n# Gridded mask\nm = m.reshape(original_shape)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## LAVD forward (dynamic field)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), \"u\", \"v\", t_init=t0, **kw_p)\nfor _ in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection\")\nmappable = lavd_forward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## LAVD backward (dynamic field)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), \"u\", \"v\", t_init=t0, backward=True, **kw_p)\nfor i in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection\")\nmappable = lavd_backward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## LAVD forward (static field)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), \"u\", \"v\", **kw_p)\nfor _ in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection on a static velocity field\")\nmappable = lavd_forward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## LAVD backward (static field)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), \"u\", \"v\", backward=True, **kw_p)\nfor i in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection on a static velocity field\")\nmappable = lavd_backward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Contourdetection\nTo extract contour from LAVD grid, we will used method design for SSH, with some hacks and adapted options.\nIt will produce false amplitude and speed.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw_ident = dict(\n    force_speed_unit=\"m/s\",\n    force_height_unit=\"m\",\n    pixel_limit=(40, 200000),\n    date=datetime(2005, 5, 18),\n    uname=None,\n    vname=None,\n    grid_height=\"lavd\",\n    shape_error=70,\n    step=1e-6,\n)\nfig, ax, _ = start_ax(\"Detection of eddies with several method\")\nt0_grid.bessel_high_filter(\"adt\", 700)\na, c = t0_grid.eddy_identification(\n    \"adt\", \"u\", \"v\", kw_ident[\"date\"], step=0.002, shape_error=70\n)\nkw_ed = dict(ax=ax, intern=True, ref=-10)\na.filled(\n    facecolors=\"#FFEFCD\", label=\"Anticyclonic SSH detection {nb_obs} eddies\", **kw_ed\n)\nc.filled(facecolors=\"#DEDEDE\", label=\"Cyclonic SSH detection {nb_obs} eddies\", **kw_ed)\nkw_cont = dict(ax=ax, extern_only=True, ls=\"-\", ref=-10)\nforward, _ = lavd_forward.eddy_identification(**kw_ident)\nforward.display(label=\"LAVD forward {nb_obs} eddies\", color=\"g\", **kw_cont)\nbackward, _ = lavd_backward.eddy_identification(**kw_ident)\nbackward.display(label=\"LAVD backward {nb_obs} eddies\", color=\"r\", **kw_cont)\nforward, _ = lavd_forward_static.eddy_identification(**kw_ident)\nforward.display(label=\"LAVD forward static {nb_obs} eddies\", color=\"cyan\", **kw_cont)\nbackward, _ = lavd_backward_static.eddy_identification(**kw_ident)\nbackward.display(\n    label=\"LAVD backward static {nb_obs} eddies\", color=\"orange\", **kw_cont\n)\nax.legend()\nupdate_axes(ax)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_relative.ipynb b/notebooks/python_module/16_network/pet_relative.ipynb
index e8252900..85744514 100644
--- a/notebooks/python_module/16_network/pet_relative.ipynb
+++ b/notebooks/python_module/16_network/pet_relative.ipynb
@@ -252,6 +252,42 @@
         "n = n_clean"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Change splitting-merging events\nchange event where seg A split to B, then A merge into B, to A split to B then B merge into A\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(15, 12))\nax = fig.add_axes([0.04, 0.54, 0.90, 0.40])\nax.set_title(f\"Clean network ({n.infos()})\")\nn.display_timeline(ax)\n\nclean_modified = n.copy()\n# If it's happen in less than 40 days\nclean_modified.correct_close_events(40)\n\nax = fig.add_axes([0.04, 0.04, 0.90, 0.40])\nax.set_title(f\"resplitted network ({clean_modified.infos()})\")\n_ = clean_modified.display_timeline(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Keep only observations where water could propagate from an observation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i_observation = 600\nonly_linked = n.find_link(i_observation)\n\nfig = plt.figure(figsize=(15, 12))\nax1 = fig.add_axes([0.04, 0.54, 0.90, 0.40])\nax2 = fig.add_axes([0.04, 0.04, 0.90, 0.40])\n\nkw = dict(marker=\"s\", s=300, color=\"black\", zorder=200, label=\"observation start\")\nfor ax, dataset in zip([ax1, ax2], [n, only_linked]):\n    dataset.display_timeline(ax, field=\"segment\", lw=2, markersize=5, colors_mode=\"y\")\n    ax.scatter(n.time[i_observation], n.segment[i_observation], **kw)\n    ax.legend()\n\nax1.set_title(f\"full example ({n.infos()})\")\nax2.set_title(f\"only linked observations ({only_linked.infos()})\")\n_ = ax2.set_xlim(ax1.get_xlim()), ax2.set_ylim(ax1.get_ylim())"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 48b6f2d7..3e6c86ea 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -173,6 +173,7 @@ def all_pixels_above_h0(self, level):
                 self.mle,
                 -1,
             )
+            # After we use grid.data because index are in contour and we check before than no pixel are hide
             nb = len(lmi_i)
             if nb == 0:
                 logger.warning(
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 1daf100b..1955d5fb 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -645,7 +645,7 @@ def display_timeline(
         j = 0
         line_kw = dict(
             ls="-",
-            marker=".",
+            marker="+",
             markersize=6,
             zorder=1,
             lw=3,

From a792e21e4b2e50d340ec77b76277ee7f64ed81d4 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 25 Mar 2021 15:30:44 +0100
Subject: [PATCH 320/441] Add network example with particle

---
 .../pet_lavd_detection.py                     |   4 +-
 examples/16_network/pet_follow_particle.py    | 251 ++++++++++++++++++
 examples/16_network/pet_segmentation_anim.py  |   2 +-
 .../pet_lavd_detection.ipynb                  |   2 +-
 .../16_network/pet_follow_particle.ipynb      | 177 ++++++++++++
 .../16_network/pet_segmentation_anim.ipynb    |   2 +-
 src/py_eddy_tracker/appli/network.py          |   2 +-
 src/py_eddy_tracker/dataset/grid.py           |   2 +-
 8 files changed, 435 insertions(+), 7 deletions(-)
 create mode 100644 examples/16_network/pet_follow_particle.py
 create mode 100644 notebooks/python_module/16_network/pet_follow_particle.ipynb

diff --git a/examples/07_cube_manipulation/pet_lavd_detection.py b/examples/07_cube_manipulation/pet_lavd_detection.py
index 4f46b78f..dad99498 100644
--- a/examples/07_cube_manipulation/pet_lavd_detection.py
+++ b/examples/07_cube_manipulation/pet_lavd_detection.py
@@ -178,8 +178,8 @@ def update_axes(ax, mappable=None):
 _ = update_axes(ax, mappable)
 
 # %%
-# Contourdetection
-# ----------------
+# Contour detection
+# -----------------
 # To extract contour from LAVD grid, we will used method design for SSH, with some hacks and adapted options.
 # It will produce false amplitude and speed.
 kw_ident = dict(
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
new file mode 100644
index 00000000..dee3ab84
--- /dev/null
+++ b/examples/16_network/pet_follow_particle.py
@@ -0,0 +1,251 @@
+"""
+Follow particle
+===============
+
+"""
+import re
+
+from matplotlib import colors
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from numba import njit
+from numba import types as nb_types
+from numpy import arange, meshgrid, ones, unique, where, zeros
+
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.data import get_path
+from py_eddy_tracker.dataset.grid import GridCollection
+from py_eddy_tracker.observations.network import NetworkObservations
+
+start_logger().setLevel("ERROR")
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+# %%
+n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+n = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))
+n = n.remove_dead_end(nobs=0, ndays=10)
+n.numbering_segment()
+c = GridCollection.from_netcdf_cube(
+    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    "longitude",
+    "latitude",
+    "time",
+    heigth="adt",
+)
+
+# %%
+# Schema
+# ------
+fig = plt.figure(figsize=(12, 6))
+ax = fig.add_axes([0.05, 0.05, 0.9, 0.9])
+_ = n.display_timeline(ax, field="longitude", marker="+", lw=2, markersize=5)
+
+# %%
+# Animation
+# ---------
+# Particle settings
+t_snapshot = 20200
+step = 1 / 50.0
+x, y = meshgrid(arange(20, 36, step), arange(30, 46, step))
+N = 6
+x_f, y_f = x[::N, ::N].copy(), y[::N, ::N].copy()
+x, y = x.reshape(-1), y.reshape(-1)
+x_f, y_f = x_f.reshape(-1), y_f.reshape(-1)
+n_ = n.extract_with_mask(n.time == t_snapshot)
+index = n_.contains(x, y, intern=True)
+m = index != -1
+index = n_.segment[index[m]]
+index_ = unique(index)
+x, y = x[m], y[m]
+m = ~n_.inside(x_f, y_f, intern=True)
+x_f, y_f = x_f[m], y_f[m]
+
+# %%
+# Animation
+cmap = colors.ListedColormap(list(n.COLORS), name="from_list", N=n.segment.max() + 1)
+a = Anim(
+    n,
+    intern=False,
+    figsize=(12, 6),
+    nb_step=1,
+    dpi=60,
+    field_color="segment",
+    field_txt="segment",
+    cmap=cmap,
+)
+a.fig.suptitle(""), a.ax.set_xlim(24, 36), a.ax.set_ylim(30, 36)
+a.txt.set_position((25, 31))
+
+step = 0.25
+kw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step)
+
+mappables = dict()
+particules = c.advect(x, y, "u", "v", **kw_p)
+filament = c.filament(x_f, y_f, "u", "v", **kw_p, filament_size=3)
+kw = dict(ls="", marker=".", markersize=0.25)
+for k in index_:
+    m = k == index
+    mappables[k] = a.ax.plot([], [], color=cmap(k), **kw)[0]
+m_filament = a.ax.plot([], [], lw=0.25, color="gray")[0]
+
+
+def update(frame):
+    tt, xt, yt = particules.__next__()
+    for k, mappable in mappables.items():
+        m = index == k
+        mappable.set_data(xt[m], yt[m])
+    tt, xt, yt = filament.__next__()
+    m_filament.set_data(xt, yt)
+    if frame % 1 == 0:
+        a.func_animation(frame)
+
+
+ani = VideoAnimation(a.fig, update, frames=arange(20200, 20269, step), interval=200)
+
+
+# %%
+# In which observations are the particle
+# --------------------------------------
+def advect(x, y, c, t0, delta_t):
+    """
+    Advect particle from t0 to t0 + delta_t, with data cube.
+    """
+    kw = dict(nb_step=6, time_step=86400 / 6)
+    if delta_t < 0:
+        kw["backward"] = True
+        delta_t = -delta_t
+    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
+    for _ in range(delta_t):
+        t, x, y = p.__next__()
+    return t, x, y
+
+
+def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
+    # Obs from initial time
+    m_start = eddies.time == t_start
+    e = eddies.extract_with_mask(m_start)
+    # to be able to get global index
+    translate_start = where(m_start)[0]
+    # Identify particle in eddies(only in core)
+    i_start = e.contains(x, y, intern=True)
+    m = i_start != -1
+    x, y, i_start = x[m], y[m], i_start[m]
+    # Advect
+    t_end, x, y = advect(x, y, c, t_start, **kwargs)
+    # eddies at last date
+    m_end = eddies.time == t_end / 86400
+    e_end = eddies.extract_with_mask(m_end)
+    # to be able to get global index
+    translate_end = where(m_end)[0]
+    # Id eddies for each alive particle(in core and extern)
+    i_end = e_end.contains(x, y)
+    # compute matrix and filled target array
+    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
+
+
+@njit(cache=True)
+def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
+    nb_start, nb_end = translate_start.size, translate_end.size
+    # Matrix which will store count for every couple
+    count = zeros((nb_start, nb_end), dtype=nb_types.int32)
+    # Number of particle in each origin observation
+    ref = zeros(nb_start, dtype=nb_types.int32)
+    # For each particle
+    for i in range(i_start.size):
+        i_end_ = i_end[i]
+        i_start_ = i_start[i]
+        if i_end_ != -1:
+            count[i_start_, i_end_] += 1
+        ref[i_start_] += 1
+    for i in range(nb_start):
+        for j in range(nb_end):
+            pct_ = count[i, j]
+            # If there are particle from i to j
+            if pct_ != 0:
+                # Get percent
+                pct_ = pct_ / ref[i] * 100.0
+                # Get indices in full dataset
+                i_, j_ = translate_start[i], translate_end[j]
+                pct_0 = pct[i_, 0]
+                if pct_ > pct_0:
+                    pct[i_, 1] = pct_0
+                    pct[i_, 0] = pct_
+                    i_target[i_, 1] = i_target[i_, 0]
+                    i_target[i_, 0] = j_
+                elif pct_ > pct[i_, 1]:
+                    pct[i_, 1] = pct_
+                    i_target[i_, 1] = j_
+    return i_target, pct
+
+
+# %%
+# Particle advection
+# ^^^^^^^^^^^^^^^^^^
+step = 1 / 60.0
+
+x, y = meshgrid(arange(20, 36, step), arange(30, 46, step))
+x0, y0 = x.reshape(-1), y.reshape(-1)
+t_start, t_end = n.period
+dt = 14
+
+shape = (n.obs.size, 2)
+# Forward run
+i_target_f, pct_target_f = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
+for t in range(t_start, t_end - dt):
+    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)
+
+# Backward run
+i_target_b, pct_target_b = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
+for t in range(t_start + dt, t_end):
+    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)
+
+# %%
+fig = plt.figure(figsize=(10, 10))
+ax_1st_b = fig.add_axes([0.05, 0.52, 0.45, 0.45])
+ax_2nd_b = fig.add_axes([0.05, 0.05, 0.45, 0.45])
+ax_1st_f = fig.add_axes([0.52, 0.52, 0.45, 0.45])
+ax_2nd_f = fig.add_axes([0.52, 0.05, 0.45, 0.45])
+ax_1st_b.set_title("Backward advection for each time step")
+ax_1st_f.set_title("Forward advection for each time step")
+
+
+def color_alpha(target, pct, vmin=5, vmax=80):
+    color = cmap(n.segment[target])
+    # We will hide under 5 % and from 80% to 100 % it will be 1
+    alpha = (pct - vmin) / (vmax - vmin)
+    alpha[alpha < 0] = 0
+    alpha[alpha > 1] = 1
+    color[:, 3] = alpha
+    return color
+
+
+kw = dict(
+    name=None, yfield="longitude", event=False, zorder=-100, s=(n.speed_area / 20e6)
+)
+n.scatter_timeline(ax_1st_b, c=color_alpha(i_target_b.T[0], pct_target_b.T[0]), **kw)
+n.scatter_timeline(ax_2nd_b, c=color_alpha(i_target_b.T[1], pct_target_b.T[1]), **kw)
+n.scatter_timeline(ax_1st_f, c=color_alpha(i_target_f.T[0], pct_target_f.T[0]), **kw)
+n.scatter_timeline(ax_2nd_f, c=color_alpha(i_target_f.T[1], pct_target_f.T[1]), **kw)
+for ax in (ax_1st_b, ax_2nd_b, ax_1st_f, ax_2nd_f):
+    n.display_timeline(ax, field="longitude", marker="+", lw=2, markersize=5)
+    ax.grid()
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 10f46b66..60dae443 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -48,7 +48,7 @@ def get_obs(dataset):
 
 
 # %%
-# Overlaod of class to pick up
+# Hack to pick up each step of segmentation
 TRACKS = list()
 INDICES = list()
 
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
index 626dcada..afc17825 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -163,7 +163,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Contourdetection\nTo extract contour from LAVD grid, we will used method design for SSH, with some hacks and adapted options.\nIt will produce false amplitude and speed.\n\n"
+        "## Contour detection\nTo extract contour from LAVD grid, we will used method design for SSH, with some hacks and adapted options.\nIt will produce false amplitude and speed.\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
new file mode 100644
index 00000000..69dcd438
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -0,0 +1,177 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Follow particle\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "n = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nn = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))\nn = n.remove_dead_end(nobs=0, ndays=10)\nn.numbering_segment()\nc = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Schema\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(12, 6))\nax = fig.add_axes([0.05, 0.05, 0.9, 0.9])\n_ = n.display_timeline(ax, field=\"longitude\", marker=\"+\", lw=2, markersize=5)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Animation\nParticle settings\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "t_snapshot = 20200\nstep = 1 / 50.0\nx, y = meshgrid(arange(20, 36, step), arange(30, 46, step))\nN = 6\nx_f, y_f = x[::N, ::N].copy(), y[::N, ::N].copy()\nx, y = x.reshape(-1), y.reshape(-1)\nx_f, y_f = x_f.reshape(-1), y_f.reshape(-1)\nn_ = n.extract_with_mask(n.time == t_snapshot)\nindex = n_.contains(x, y, intern=True)\nm = index != -1\nindex = n_.segment[index[m]]\nindex_ = unique(index)\nx, y = x[m], y[m]\nm = ~n_.inside(x_f, y_f, intern=True)\nx_f, y_f = x_f[m], y_f[m]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Animation\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "cmap = colors.ListedColormap(list(n.COLORS), name=\"from_list\", N=n.segment.max() + 1)\na = Anim(\n    n,\n    intern=False,\n    figsize=(12, 6),\n    nb_step=1,\n    dpi=60,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n    cmap=cmap,\n)\na.fig.suptitle(\"\"), a.ax.set_xlim(24, 36), a.ax.set_ylim(30, 36)\na.txt.set_position((25, 31))\n\nstep = 0.25\nkw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step)\n\nmappables = dict()\nparticules = c.advect(x, y, \"u\", \"v\", **kw_p)\nfilament = c.filament(x_f, y_f, \"u\", \"v\", **kw_p, filament_size=3)\nkw = dict(ls=\"\", marker=\".\", markersize=0.25)\nfor k in index_:\n    m = k == index\n    mappables[k] = a.ax.plot([], [], color=cmap(k), **kw)[0]\nm_filament = a.ax.plot([], [], lw=0.25, color=\"gray\")[0]\n\n\ndef update(frame):\n    tt, xt, yt = particules.__next__()\n    for k, mappable in mappables.items():\n        m = index == k\n        mappable.set_data(xt[m], yt[m])\n    tt, xt, yt = filament.__next__()\n    m_filament.set_data(xt, yt)\n    if frame % 1 == 0:\n        a.func_animation(frame)\n\n\nani = VideoAnimation(a.fig, update, frames=arange(20200, 20269, step), interval=200)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## In which observations are the particle\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def advect(x, y, c, t0, delta_t):\n    \"\"\"\n    Advect particle from t0 to t0 + delta_t, with data cube.\n    \"\"\"\n    kw = dict(nb_step=6, time_step=86400 / 6)\n    if delta_t < 0:\n        kw[\"backward\"] = True\n        delta_t = -delta_t\n    p = c.advect(x, y, \"u\", \"v\", t_init=t0, **kw)\n    for _ in range(delta_t):\n        t, x, y = p.__next__()\n    return t, x, y\n\n\ndef particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):\n    # Obs from initial time\n    m_start = eddies.time == t_start\n    e = eddies.extract_with_mask(m_start)\n    # to be able to get global index\n    translate_start = where(m_start)[0]\n    # Identify particle in eddies(only in core)\n    i_start = e.contains(x, y, intern=True)\n    m = i_start != -1\n    x, y, i_start = x[m], y[m], i_start[m]\n    # Advect\n    t_end, x, y = advect(x, y, c, t_start, **kwargs)\n    # eddies at last date\n    m_end = eddies.time == t_end / 86400\n    e_end = eddies.extract_with_mask(m_end)\n    # to be able to get global index\n    translate_end = where(m_end)[0]\n    # Id eddies for each alive particle(in core and extern)\n    i_end = e_end.contains(x, y)\n    # compute matrix and filled target array\n    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)\n\n\n@njit(cache=True)\ndef get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):\n    nb_start, nb_end = translate_start.size, translate_end.size\n    # Matrix which will store count for every couple\n    count = zeros((nb_start, nb_end), dtype=nb_types.int32)\n    # Number of particle in each origin observation\n    ref = zeros(nb_start, dtype=nb_types.int32)\n    # For each particle\n    for i in range(i_start.size):\n        i_end_ = i_end[i]\n        i_start_ = i_start[i]\n        if i_end_ != -1:\n            count[i_start_, i_end_] += 1\n        ref[i_start_] += 1\n    for i in range(nb_start):\n        for j in range(nb_end):\n            pct_ = count[i, j]\n            # If there are particle from i to j\n            if pct_ != 0:\n                # Get percent\n                pct_ = pct_ / ref[i] * 100.0\n                # Get indices in full dataset\n                i_, j_ = translate_start[i], translate_end[j]\n                pct_0 = pct[i_, 0]\n                if pct_ > pct_0:\n                    pct[i_, 1] = pct_0\n                    pct[i_, 0] = pct_\n                    i_target[i_, 1] = i_target[i_, 0]\n                    i_target[i_, 0] = j_\n                elif pct_ > pct[i_, 1]:\n                    pct[i_, 1] = pct_\n                    i_target[i_, 1] = j_\n    return i_target, pct"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Particle advection\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 1 / 60.0\n\nx, y = meshgrid(arange(20, 36, step), arange(30, 46, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(10, 10))\nax_1st_b = fig.add_axes([0.05, 0.52, 0.45, 0.45])\nax_2nd_b = fig.add_axes([0.05, 0.05, 0.45, 0.45])\nax_1st_f = fig.add_axes([0.52, 0.52, 0.45, 0.45])\nax_2nd_f = fig.add_axes([0.52, 0.05, 0.45, 0.45])\nax_1st_b.set_title(\"Backward advection for each time step\")\nax_1st_f.set_title(\"Forward advection for each time step\")\n\n\ndef color_alpha(target, pct, vmin=5, vmax=80):\n    color = cmap(n.segment[target])\n    # We will hide under 5 % and from 80% to 100 % it will be 1\n    alpha = (pct - vmin) / (vmax - vmin)\n    alpha[alpha < 0] = 0\n    alpha[alpha > 1] = 1\n    color[:, 3] = alpha\n    return color\n\n\nkw = dict(\n    name=None, yfield=\"longitude\", event=False, zorder=-100, s=(n.speed_area / 20e6)\n)\nn.scatter_timeline(ax_1st_b, c=color_alpha(i_target_b.T[0], pct_target_b.T[0]), **kw)\nn.scatter_timeline(ax_2nd_b, c=color_alpha(i_target_b.T[1], pct_target_b.T[1]), **kw)\nn.scatter_timeline(ax_1st_f, c=color_alpha(i_target_f.T[0], pct_target_f.T[0]), **kw)\nn.scatter_timeline(ax_2nd_f, c=color_alpha(i_target_f.T[1], pct_target_f.T[1]), **kw)\nfor ax in (ax_1st_b, ax_2nd_b, ax_1st_f, ax_2nd_f):\n    n.display_timeline(ax, field=\"longitude\", marker=\"+\", lw=2, markersize=5)\n    ax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index c7372f42..2095ad14 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -44,7 +44,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Overlaod of class to pick up\n\n"
+        "Hack to pick up each step of segmentation\n\n"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index cf31506d..34f019eb 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -37,7 +37,7 @@ def build_network():
 
 
 def divide_network():
-    parser = EddyParser("Separate path for a same group")
+    parser = EddyParser("Separate path for a same group(network)")
     parser.add_argument("input", help="input network file")
     parser.add_argument("out", help="output file")
     parser.contour_intern_arg()
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 9bca18e6..6a4624dd 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -602,7 +602,7 @@ def eddy_identification(
         **kwargs,
     ):
         """
-        Compute eddy identification on the pecified grid
+        Compute eddy identification on the specified grid
 
         :param str grid_height: Grid name of Sea Surface Height
         :param str uname: Grid name of u speed component

From ee83f00da11cb7a0f7beec1e5d45e7c8d790dbba Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 26 Mar 2021 15:21:22 +0100
Subject: [PATCH 321/441] Add method to extract period from network

---
 src/py_eddy_tracker/appli/network.py        | 22 +++++++++++++-----
 src/py_eddy_tracker/generic.py              |  7 +++++-
 src/py_eddy_tracker/observations/network.py | 25 +++++++++++++++++++++
 src/scripts/EddySubSetter                   |  2 +-
 4 files changed, 48 insertions(+), 8 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 34f019eb..90450078 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -61,11 +61,6 @@ def subset_network():
     parser = EddyParser("Subset network")
     parser.add_argument("input", help="input network file")
     parser.add_argument("out", help="output file")
-    parser.add_argument(
-        "--inverse_selection",
-        action="store_true",
-        help="Extract the inverse of selection",
-    )
     parser.add_argument(
         "-l",
         "--length",
@@ -80,10 +75,25 @@ def subset_network():
         type=int,
         help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
     )
+    parser.add_argument(
+        "--remove_trash",
+        action="store_true",
+        help="Remove trash (network id == 0)",
+    )
+    parser.add_argument(
+        "-p",
+        "--period",
+        nargs=2,
+        type=int,
+        help="Start day and end day, if it's negative value we will add to day min and add to day max,"
+        "if 0 it s not use",
+    )
     args = parser.parse_args()
-    n = NetworkObservations.load_file(args.input)
+    n = NetworkObservations.load_file(args.input, raw_data=True)
     if args.length is not None:
         n = n.longer_than(*args.length)
     if args.remove_dead_end is not None:
         n = n.remove_dead_end(*args.remove_dead_end)
+    if args.period is not None:
+        n = n.extract_with_period(args.period)
     n.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 62664481..35c23817 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -70,6 +70,11 @@ def build_index(groups):
     :param array groups: array which contain group to be separated
     :return: (first_index of each group, last_index of each group, value to shift group)
     :rtype: (array, array, int)
+
+    Examples
+    --------
+    >>> build_index(array((1, 1, 3, 4, 4)))
+    (array([0, 2, 2, 3]), array([2, 2, 3, 5]), 1)
     """
     i0, i1 = groups.min(), groups.max()
     amplitude = i1 - i0 + 1
@@ -78,7 +83,7 @@ def build_index(groups):
     for i, group in enumerate(groups[:-1]):
         # Get next value to compare
         next_group = groups[i + 1]
-        # if different we need to set index
+        # if different we need to set index for all group between the 2 values
         if group != next_group:
             first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
     last_index = zeros(amplitude, dtype=numba_types.int_)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 1955d5fb..53af9f30 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -10,6 +10,7 @@
     arange,
     array,
     bincount,
+    bool_,
     concatenate,
     empty,
     in1d,
@@ -1237,6 +1238,30 @@ def extract_segment(self, segments, absolute=False):
                 mask[i] = False
         return self.extract_with_mask(mask)
 
+    def extract_with_period(self, period):
+        """
+        Extract within a time period
+
+        :param (int,int) period: two dates to define the period, must be specify from 1/1/1950
+        :return: Return all eddy tracks which are in bounds
+        :rtype: NetworkObservations
+
+        .. minigallery:: py_eddy_tracker.NetworkObservations.extract_with_period
+        """
+        dataset_period = self.period
+        p_min, p_max = period
+        if p_min > 0:
+            mask = self.time >= p_min
+        elif p_min < 0:
+            mask = self.time >= (dataset_period[0] - p_min)
+        else:
+            mask = ones(self.time.shape, dtype=bool_)
+        if p_max > 0:
+            mask *= self.time <= p_max
+        elif p_max < 0:
+            mask *= self.time <= (dataset_period[1] + p_max)
+        return self.extract_with_mask(mask)
+
     def extract_with_mask(self, mask):
         """
         Extract a subset of observations.
diff --git a/src/scripts/EddySubSetter b/src/scripts/EddySubSetter
index 73250834..6cace388 100644
--- a/src/scripts/EddySubSetter
+++ b/src/scripts/EddySubSetter
@@ -22,7 +22,7 @@ def id_parser():
         "--period",
         nargs=2,
         type=int,
-        help="Start day and end day, if it s negative value we will add to day min and add to day max, if 0 it s not use",
+        help="Start day and end day, if it's negative value we will add to day min and add to day max, if 0 it s not use",
     )
     group.add_argument(
         "-l",

From 1f5863a2a494d5bba3e2d62e7479bb7e1dd72b0d Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 26 Mar 2021 15:23:25 +0100
Subject: [PATCH 322/441] Manage wrapping in poly_index

---
 .../observations/observation.py               |  60 +---------
 src/py_eddy_tracker/poly.py                   | 111 +++++++++++++++++-
 2 files changed, 113 insertions(+), 58 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 88397fc6..73df5734 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -65,9 +65,10 @@
     convexs,
     create_vertice,
     get_pixel_in_regular,
+    insidepoly,
+    poly_indexs,
     reduce_size,
     vertice_overlap,
-    winding_number_poly,
 )
 
 logger = logging.getLogger("pet")
@@ -2062,6 +2063,7 @@ def inside(self, x, y, intern=False):
         :rtype: array[bool]
         """
         xname, yname = self.intern(intern)
+        # FIXME: wrapping
         return insidepoly(x, y, self[xname], self[yname])
 
     def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
@@ -2330,62 +2332,6 @@ def grid_count_pixel_in(
         grid_count_(grid, i, j)
 
 
-@njit(cache=True)
-def poly_indexs(x_p, y_p, x_c, y_c):
-    """
-    index of contour for each postion inside a contour, -1 in case of no contour
-
-    :param array x_p: longitude to test
-    :param array y_p: latitude to test
-    :param array x_c: longitude of contours
-    :param array y_c: latitude of contours
-    """
-    nb_p = x_p.shape[0]
-    nb_c = x_c.shape[0]
-    indexs = -ones(nb_p, dtype=numba_types.int32)
-    for i in range(nb_c):
-        x_, y_ = reduce_size(x_c[i], y_c[i])
-        x_c_min, y_c_min = x_.min(), y_.min()
-        x_c_max, y_c_max = x_.max(), y_.max()
-        v = create_vertice(x_, y_)
-        for j in range(nb_p):
-            if indexs[j] != -1:
-                continue
-            x, y = x_p[j], y_p[j]
-            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
-                if winding_number_poly(x, y, v) != 0:
-                    indexs[j] = i
-    return indexs
-
-
-@njit(cache=True)
-def insidepoly(x_p, y_p, x_c, y_c):
-    """
-    True for each postion inside a contour
-
-    :param array x_p: longitude to test
-    :param array y_p: latitude to test
-    :param array x_c: longitude of contours
-    :param array y_c: latitude of contours
-    """
-    nb_p = x_p.shape[0]
-    nb_c = x_c.shape[0]
-    flag = zeros(nb_p, dtype=numba_types.bool_)
-    for i in range(nb_c):
-        x_, y_ = reduce_size(x_c[i], y_c[i])
-        x_c_min, y_c_min = x_.min(), y_.min()
-        x_c_max, y_c_max = x_.max(), y_.max()
-        v = create_vertice(x_, y_)
-        for j in range(nb_p):
-            if flag[j]:
-                continue
-            x, y = x_p[j], y_p[j]
-            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
-                if winding_number_poly(x, y, v) != 0:
-                    flag[j] = True
-    return flag
-
-
 @njit(cache=True)
 def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
     """
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 64eb50f8..de747f87 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -7,10 +7,12 @@
 
 from numba import njit, prange
 from numba import types as numba_types
-from numpy import arctan, array, concatenate, empty, nan, ones, pi, where
+from numpy import arctan, array, concatenate, empty, nan, ones, pi, where, zeros
 from numpy.linalg import lstsq
 from Polygon import Polygon
 
+from .generic import build_index
+
 
 @njit(cache=True)
 def is_left(
@@ -788,3 +790,110 @@ def reduce_size(x, y):
             # In case of virtual obs all value could be fill with same value, to avoid empty array
             i = max(3, i)
             return x[:i], y[:i]
+
+
+@njit(cache=True)
+def group_obs(x, y, step, nb_x):
+    """Get index k_box for each box, and indexes to sort"""
+    nb = x.size
+    i = empty(nb, dtype=numba_types.uint32)
+    for k in range(nb):
+        i[k] = box_index(x[k], y[k], step, nb_x)
+    return i, i.argsort()
+
+
+@njit(cache=True)
+def box_index(x, y, step, nb_x):
+    """Return k_box index for each value"""
+    return numba_types.uint32((x % 360) // step + nb_x * ((y + 90) // step))
+
+
+@njit(cache=True)
+def box_indexes(x, y, step):
+    """Return i_box,j_box index for each value"""
+    return numba_types.uint32((x % 360) // step), numba_types.uint32((y + 90) // step)
+
+
+@njit(cache=True)
+def poly_indexs(x_p, y_p, x_c, y_c):
+    """
+    Index of contour for each postion inside a contour, -1 in case of no contour
+
+    :param array x_p: longitude to test (must be define, no nan)
+    :param array y_p: latitude to test (must be define, no nan)
+    :param array x_c: longitude of contours
+    :param array y_c: latitude of contours
+    """
+    i, i_order = group_obs(x_p, y_p, 1, 360)
+    nb_p = x_p.shape[0]
+    nb_c = x_c.shape[0]
+    indexs = -ones(nb_p, dtype=numba_types.int32)
+    # Adress table to get particle bloc
+    start_index, end_index, i_first = build_index(i[i_order])
+    nb_bloc = end_index.size
+    for i_contour in range(nb_c):
+        # Build vertice and box included contour
+        x_, y_ = reduce_size(x_c[i_contour], y_c[i_contour])
+        x_c_min, y_c_min = x_.min(), y_.min()
+        x_c_max, y_c_max = x_.max(), y_.max()
+        v = create_vertice(x_, y_)
+        i0, j0 = box_indexes(x_c_min, y_c_min, 1)
+        i1, j1 = box_indexes(x_c_max, y_c_max, 1)
+        # i0 could be greater than i1, (x_c is always continious) so you could have a contour over bound
+        if i0 > i1:
+            i1 += 360
+        for i_x in range(i0, i1 + 1):
+            # we force i_x in 0 360 range
+            i_x %= 360
+            for i_y in range(j0, j1 + 1):
+                # Get box indices
+                i_box = i_x + 360 * i_y - i_first
+                # Indice must be in table range
+                if i_box < 0 or i_box >= nb_bloc:
+                    continue
+                for i_p_ordered in range(start_index[i_box], end_index[i_box]):
+                    i_p = i_order[i_p_ordered]
+                    if indexs[i_p] != -1:
+                        continue
+                    y = y_p[i_p]
+                    if y > y_c_max:
+                        continue
+                    if y < y_c_min:
+                        continue
+                    x = (x_p[i_p] - x_c_min + 180) % 360 + x_c_min - 180
+                    if x > x_c_max:
+                        continue
+                    if x < x_c_min:
+                        continue
+                    if winding_number_poly(x, y, v) != 0:
+                        indexs[i_p] = i_contour
+    return indexs
+
+
+@njit(cache=True)
+def insidepoly(x_p, y_p, x_c, y_c):
+    """
+    True for each postion inside a contour
+
+    :param array x_p: longitude to test
+    :param array y_p: latitude to test
+    :param array x_c: longitude of contours
+    :param array y_c: latitude of contours
+    """
+    # TODO must be optimize like poly_index
+    nb_p = x_p.shape[0]
+    nb_c = x_c.shape[0]
+    flag = zeros(nb_p, dtype=numba_types.bool_)
+    for i in range(nb_c):
+        x_, y_ = reduce_size(x_c[i], y_c[i])
+        x_c_min, y_c_min = x_.min(), y_.min()
+        x_c_max, y_c_max = x_.max(), y_.max()
+        v = create_vertice(x_, y_)
+        for j in range(nb_p):
+            if flag[j]:
+                continue
+            x, y = x_p[j], y_p[j]
+            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
+                if winding_number_poly(x, y, v) != 0:
+                    flag[j] = True
+    return flag

From 32f6b3606fc66696b924764d5ac069325df04e1e Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Sat, 27 Mar 2021 09:35:53 +0100
Subject: [PATCH 323/441] Use of mergesort to save time when array is alreay
 ordered

---
 examples/16_network/pet_follow_particle.py      |  7 ++++++-
 .../16_network/pet_follow_particle.ipynb        |  4 ++--
 src/py_eddy_tracker/poly.py                     | 17 ++++++++++-------
 3 files changed, 18 insertions(+), 10 deletions(-)

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index dee3ab84..0a57d346 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -17,6 +17,7 @@
 from py_eddy_tracker.data import get_path
 from py_eddy_tracker.dataset.grid import GridCollection
 from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.poly import group_obs
 
 start_logger().setLevel("ERROR")
 
@@ -203,8 +204,12 @@ def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
 # ^^^^^^^^^^^^^^^^^^
 step = 1 / 60.0
 
-x, y = meshgrid(arange(20, 36, step), arange(30, 46, step))
+x, y = meshgrid(arange(24, 36, step), arange(31, 36, step))
 x0, y0 = x.reshape(-1), y.reshape(-1)
+# Pre-order to speed up
+_, i = group_obs(x0, y0, 1, 360)
+x0, y0 = x0[i], y0[i]
+
 t_start, t_end = n.period
 dt = 14
 
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 69dcd438..580c848c 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nstart_logger().setLevel(\"ERROR\")"
+        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -138,7 +138,7 @@
       },
       "outputs": [],
       "source": [
-        "step = 1 / 60.0\n\nx, y = meshgrid(arange(20, 36, step), arange(30, 46, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)"
+        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index de747f87..afca0f14 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -799,7 +799,7 @@ def group_obs(x, y, step, nb_x):
     i = empty(nb, dtype=numba_types.uint32)
     for k in range(nb):
         i[k] = box_index(x[k], y[k], step, nb_x)
-    return i, i.argsort()
+    return i, i.argsort(kind="mergesort")
 
 
 @njit(cache=True)
@@ -824,7 +824,9 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     :param array x_c: longitude of contours
     :param array y_c: latitude of contours
     """
-    i, i_order = group_obs(x_p, y_p, 1, 360)
+    nb_x = 360
+    step = 1.0
+    i, i_order = group_obs(x_p, y_p, step, nb_x)
     nb_p = x_p.shape[0]
     nb_c = x_c.shape[0]
     indexs = -ones(nb_p, dtype=numba_types.int32)
@@ -837,17 +839,17 @@ def poly_indexs(x_p, y_p, x_c, y_c):
         x_c_min, y_c_min = x_.min(), y_.min()
         x_c_max, y_c_max = x_.max(), y_.max()
         v = create_vertice(x_, y_)
-        i0, j0 = box_indexes(x_c_min, y_c_min, 1)
-        i1, j1 = box_indexes(x_c_max, y_c_max, 1)
+        i0, j0 = box_indexes(x_c_min, y_c_min, step)
+        i1, j1 = box_indexes(x_c_max, y_c_max, step)
         # i0 could be greater than i1, (x_c is always continious) so you could have a contour over bound
         if i0 > i1:
-            i1 += 360
+            i1 += nb_x
         for i_x in range(i0, i1 + 1):
             # we force i_x in 0 360 range
-            i_x %= 360
+            i_x %= nb_x
             for i_y in range(j0, j1 + 1):
                 # Get box indices
-                i_box = i_x + 360 * i_y - i_first
+                i_box = i_x + nb_x * i_y - i_first
                 # Indice must be in table range
                 if i_box < 0 or i_box >= nb_bloc:
                     continue
@@ -860,6 +862,7 @@ def poly_indexs(x_p, y_p, x_c, y_c):
                         continue
                     if y < y_c_min:
                         continue
+                    # Normalize longitude at +-180° around x_c_min
                     x = (x_p[i_p] - x_c_min + 180) % 360 + x_c_min - 180
                     if x > x_c_max:
                         continue

From 896694b886cb6c5a0e0c7017fc554e9cd765f026 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Sat, 27 Mar 2021 09:56:15 +0100
Subject: [PATCH 324/441] Reset of poly_indexs due to an unknown segmentation
 fault

---
 src/py_eddy_tracker/poly.py | 30 +++++++++++++++++++++++++++++-
 1 file changed, 29 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index afca0f14..2bf34509 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -815,7 +815,7 @@ def box_indexes(x, y, step):
 
 
 @njit(cache=True)
-def poly_indexs(x_p, y_p, x_c, y_c):
+def poly_indexs_(x_p, y_p, x_c, y_c):
     """
     Index of contour for each postion inside a contour, -1 in case of no contour
 
@@ -873,6 +873,34 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     return indexs
 
 
+@njit(cache=True)
+def poly_indexs(x_p, y_p, x_c, y_c):
+    """
+    index of contour for each postion inside a contour, -1 in case of no contour
+
+    :param array x_p: longitude to test
+    :param array y_p: latitude to test
+    :param array x_c: longitude of contours
+    :param array y_c: latitude of contours
+    """
+    nb_p = x_p.shape[0]
+    nb_c = x_c.shape[0]
+    indexs = -ones(nb_p, dtype=numba_types.int32)
+    for i in range(nb_c):
+        x_, y_ = reduce_size(x_c[i], y_c[i])
+        x_c_min, y_c_min = x_.min(), y_.min()
+        x_c_max, y_c_max = x_.max(), y_.max()
+        v = create_vertice(x_, y_)
+        for j in range(nb_p):
+            if indexs[j] != -1:
+                continue
+            x, y = x_p[j], y_p[j]
+            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
+                if winding_number_poly(x, y, v) != 0:
+                    indexs[j] = i
+    return indexs
+
+
 @njit(cache=True)
 def insidepoly(x_p, y_p, x_c, y_c):
     """

From f40cecbcabcaf8230f033aef72da862aae4076d1 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Mar 2021 11:50:42 +0200
Subject: [PATCH 325/441] Change method name to get demo data, to be explicit

---
 examples/01_general_things/pet_storage.py              |  8 ++++----
 examples/02_eddy_identification/pet_contour_circle.py  |  2 +-
 examples/02_eddy_identification/pet_display_id.py      |  4 ++--
 examples/02_eddy_identification/pet_eddy_detection.py  |  4 +++-
 .../02_eddy_identification/pet_eddy_detection_ACC.py   |  2 +-
 .../pet_eddy_detection_gulf_stream.py                  |  2 +-
 .../02_eddy_identification/pet_filter_and_detection.py |  4 +++-
 .../pet_interp_grid_on_dataset.py                      |  8 +++++---
 examples/02_eddy_identification/pet_radius_vs_area.py  |  2 +-
 examples/02_eddy_identification/pet_shape_gallery.py   |  4 +++-
 examples/02_eddy_identification/pet_sla_and_adt.py     |  4 +++-
 examples/06_grid_manipulation/pet_advect.py            |  8 ++++----
 examples/06_grid_manipulation/pet_filter.py            |  4 +++-
 .../06_grid_manipulation/pet_hide_pixel_out_eddies.py  |  4 ++--
 examples/06_grid_manipulation/pet_lavd.py              | 10 ++++++----
 examples/06_grid_manipulation/pet_okubo_weiss.py       |  6 +++---
 examples/07_cube_manipulation/pet_cube.py              |  4 ++--
 examples/07_cube_manipulation/pet_fsle_med.py          |  4 ++--
 examples/07_cube_manipulation/pet_lavd_detection.py    |  4 ++--
 examples/08_tracking_manipulation/pet_display_field.py |  2 +-
 examples/08_tracking_manipulation/pet_display_track.py |  6 ++++--
 examples/08_tracking_manipulation/pet_one_track.py     |  4 +++-
 .../08_tracking_manipulation/pet_run_a_tracking.py     |  6 +++---
 .../pet_select_track_across_area.py                    |  2 +-
 examples/08_tracking_manipulation/pet_track_anim.py    |  4 +++-
 .../pet_track_anim_matplotlib_animation.py             |  4 +++-
 .../10_tracking_diagnostics/pet_birth_and_death.py     |  6 ++++--
 examples/10_tracking_diagnostics/pet_center_count.py   |  6 ++++--
 .../10_tracking_diagnostics/pet_geographic_stats.py    |  6 ++++--
 examples/10_tracking_diagnostics/pet_groups.py         |  4 +++-
 examples/10_tracking_diagnostics/pet_histo.py          |  6 ++++--
 examples/10_tracking_diagnostics/pet_lifetime.py       |  6 ++++--
 examples/10_tracking_diagnostics/pet_pixel_used.py     |  6 ++++--
 examples/10_tracking_diagnostics/pet_propagation.py    |  6 ++++--
 examples/12_external_data/pet_SST_collocation.py       |  8 +++++---
 examples/14_generic_tools/pet_fit_contour.py           |  2 +-
 examples/14_generic_tools/pet_visvalingam.py           |  2 +-
 examples/16_network/pet_atlas.py                       |  4 ++--
 examples/16_network/pet_follow_particle.py             |  6 +++---
 examples/16_network/pet_group_anim.py                  |  2 +-
 examples/16_network/pet_ioannou_2017_case.py           |  6 ++++--
 examples/16_network/pet_relative.py                    |  2 +-
 examples/16_network/pet_replay_segmentation.py         |  4 ++--
 examples/16_network/pet_segmentation_anim.py           |  4 ++--
 .../python_module/01_general_things/pet_storage.ipynb  |  8 ++++----
 .../02_eddy_identification/pet_contour_circle.ipynb    |  2 +-
 .../02_eddy_identification/pet_display_id.ipynb        |  2 +-
 .../02_eddy_identification/pet_eddy_detection.ipynb    |  2 +-
 .../pet_eddy_detection_ACC.ipynb                       |  2 +-
 .../pet_eddy_detection_gulf_stream.ipynb               |  2 +-
 .../pet_filter_and_detection.ipynb                     |  2 +-
 .../pet_interp_grid_on_dataset.ipynb                   |  2 +-
 .../02_eddy_identification/pet_radius_vs_area.ipynb    |  2 +-
 .../02_eddy_identification/pet_shape_gallery.ipynb     |  2 +-
 .../02_eddy_identification/pet_sla_and_adt.ipynb       |  2 +-
 .../06_grid_manipulation/pet_advect.ipynb              |  6 +++---
 .../06_grid_manipulation/pet_filter.ipynb              |  2 +-
 .../pet_hide_pixel_out_eddies.ipynb                    |  4 ++--
 .../python_module/06_grid_manipulation/pet_lavd.ipynb  |  6 +++---
 .../06_grid_manipulation/pet_okubo_weiss.ipynb         |  4 ++--
 .../python_module/07_cube_manipulation/pet_cube.ipynb  |  4 ++--
 .../07_cube_manipulation/pet_fsle_med.ipynb            |  4 ++--
 .../07_cube_manipulation/pet_lavd_detection.ipynb      |  4 ++--
 .../08_tracking_manipulation/pet_display_field.ipynb   |  2 +-
 .../08_tracking_manipulation/pet_display_track.ipynb   |  2 +-
 .../08_tracking_manipulation/pet_one_track.ipynb       |  2 +-
 .../08_tracking_manipulation/pet_run_a_tracking.ipynb  |  6 +++---
 .../pet_select_track_across_area.ipynb                 |  2 +-
 .../08_tracking_manipulation/pet_track_anim.ipynb      |  2 +-
 .../pet_track_anim_matplotlib_animation.ipynb          |  2 +-
 .../10_tracking_diagnostics/pet_birth_and_death.ipynb  |  2 +-
 .../10_tracking_diagnostics/pet_center_count.ipynb     |  2 +-
 .../10_tracking_diagnostics/pet_geographic_stats.ipynb |  2 +-
 .../10_tracking_diagnostics/pet_groups.ipynb           |  2 +-
 .../10_tracking_diagnostics/pet_histo.ipynb            |  2 +-
 .../10_tracking_diagnostics/pet_lifetime.ipynb         |  2 +-
 .../10_tracking_diagnostics/pet_pixel_used.ipynb       |  2 +-
 .../10_tracking_diagnostics/pet_propagation.ipynb      |  2 +-
 .../12_external_data/pet_SST_collocation.ipynb         |  4 ++--
 .../14_generic_tools/pet_fit_contour.ipynb             |  2 +-
 .../14_generic_tools/pet_visvalingam.ipynb             |  2 +-
 notebooks/python_module/16_network/pet_atlas.ipynb     |  2 +-
 .../python_module/16_network/pet_follow_particle.ipynb |  4 ++--
 .../python_module/16_network/pet_group_anim.ipynb      |  2 +-
 .../16_network/pet_ioannou_2017_case.ipynb             |  4 ++--
 notebooks/python_module/16_network/pet_relative.ipynb  |  2 +-
 .../16_network/pet_replay_segmentation.ipynb           |  4 ++--
 .../16_network/pet_segmentation_anim.ipynb             |  4 ++--
 src/py_eddy_tracker/data/__init__.py                   |  4 ++--
 tests/test_grid.py                                     |  4 ++--
 tests/test_id.py                                       |  4 ++--
 tests/test_obs.py                                      |  6 +++---
 tests/test_track.py                                    |  4 ++--
 93 files changed, 196 insertions(+), 154 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index 49b45627..28f0f76e 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -17,7 +17,7 @@
 
 import py_eddy_tracker_sample
 
-from py_eddy_tracker.data import get_path, get_remote_sample
+from py_eddy_tracker.data import get_demo_path, get_remote_demo_sample
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.observation import EddiesObservations, Table
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
@@ -33,7 +33,7 @@
 
 # %%
 # Eddies files (zarr or netcdf) could be loaded with ```load_file``` method:
-eddies_collections = EddiesObservations.load_file(get_path("Cyclonic_20160515.nc"))
+eddies_collections = EddiesObservations.load_file(get_demo_path("Cyclonic_20160515.nc"))
 eddies_collections.field_table()
 # offset and scale_factor are used only when data is stored in zarr or netCDF4
 
@@ -69,7 +69,7 @@
 # - **observation_number** : Eddy temporal index in a trajectory, days starting at the eddy first detection
 # - **cost_association** : result of the cost function to associate the eddy with the next observation
 eddies_tracks = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 # In this example some fields are removed (effective_contour_longitude,...) in order to save time for doc building
 eddies_tracks.field_table()
@@ -87,7 +87,7 @@
 # - previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation
 # - next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation
 eddies_network = NetworkObservations.load_file(
-    get_remote_sample(
+    get_remote_demo_sample(
         "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
     )
 )
diff --git a/examples/02_eddy_identification/pet_contour_circle.py b/examples/02_eddy_identification/pet_contour_circle.py
index 173ca4da..03332285 100644
--- a/examples/02_eddy_identification/pet_contour_circle.py
+++ b/examples/02_eddy_identification/pet_contour_circle.py
@@ -11,7 +11,7 @@
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
 
 # %%
 # Plot the speed and effective (dashed) contours
diff --git a/examples/02_eddy_identification/pet_display_id.py b/examples/02_eddy_identification/pet_display_id.py
index 37c2b863..57c59bc2 100644
--- a/examples/02_eddy_identification/pet_display_id.py
+++ b/examples/02_eddy_identification/pet_display_id.py
@@ -11,8 +11,8 @@
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
-c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
+c = EddiesObservations.load_file(data.get_demo_path("Cyclonic_20190223.nc"))
 
 # %%
 # Fill effective contour with amplitude
diff --git a/examples/02_eddy_identification/pet_eddy_detection.py b/examples/02_eddy_identification/pet_eddy_detection.py
index bf73bae2..b1b2c1af 100644
--- a/examples/02_eddy_identification/pet_eddy_detection.py
+++ b/examples/02_eddy_identification/pet_eddy_detection.py
@@ -35,7 +35,9 @@ def update_axes(ax, mappable=None):
 # %%
 # Load Input grid, ADT is used to detect eddies
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 
 ax = start_axes("ADT (m)")
diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index 415da9dd..c799a45e 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -60,7 +60,7 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
 margin = 30
 
 kw_data = dict(
-    filename=data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    filename=data.get_demo_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
     x_name="longitude",
     y_name="latitude",
     # Manual area subset
diff --git a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
index 27ea77ac..55267b76 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_gulf_stream.py
@@ -37,7 +37,7 @@ def update_axes(ax, mappable=None):
 # Load Input grid, ADT is used to detect eddies
 margin = 30
 g = RegularGridDataset(
-    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    data.get_demo_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
     "longitude",
     "latitude",
     # Manual area subset
diff --git a/examples/02_eddy_identification/pet_filter_and_detection.py b/examples/02_eddy_identification/pet_filter_and_detection.py
index 2feffc3e..ec02a28c 100644
--- a/examples/02_eddy_identification/pet_filter_and_detection.py
+++ b/examples/02_eddy_identification/pet_filter_and_detection.py
@@ -33,7 +33,9 @@ def update_axes(ax, mappable=None):
 # Add a new filed to store the high-pass filtered ADT
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 g.add_uv("adt")
 g.copy("adt", "adt_high")
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index 4d9a67aa..f9e5d4c3 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -30,11 +30,13 @@ def update_axes(ax, mappable=None):
 
 # %%
 # Load detection files and data to interp
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20160515.nc"))
-c = EddiesObservations.load_file(data.get_path("Cyclonic_20160515.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20160515.nc"))
+c = EddiesObservations.load_file(data.get_demo_path("Cyclonic_20160515.nc"))
 
 aviso_map = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 aviso_map.add_uv("adt")
 
diff --git a/examples/02_eddy_identification/pet_radius_vs_area.py b/examples/02_eddy_identification/pet_radius_vs_area.py
index 0239ebe7..e34ad725 100644
--- a/examples/02_eddy_identification/pet_radius_vs_area.py
+++ b/examples/02_eddy_identification/pet_radius_vs_area.py
@@ -13,7 +13,7 @@
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
 areas = list()
 # For each contour area will be compute in local reference
 for i in a:
diff --git a/examples/02_eddy_identification/pet_shape_gallery.py b/examples/02_eddy_identification/pet_shape_gallery.py
index 4e37d727..ed8df83d 100644
--- a/examples/02_eddy_identification/pet_shape_gallery.py
+++ b/examples/02_eddy_identification/pet_shape_gallery.py
@@ -25,7 +25,9 @@ def build_circle(x0, y0, r):
 # %%
 # We iterate over closed contours and sort with regards of shape error
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 c = Contours(g.x_c, g.y_c, g.grid("adt") * 100, arange(-50, 50, 0.2))
 contours = dict()
diff --git a/examples/02_eddy_identification/pet_sla_and_adt.py b/examples/02_eddy_identification/pet_sla_and_adt.py
index 307d8cca..29dcc0a7 100644
--- a/examples/02_eddy_identification/pet_sla_and_adt.py
+++ b/examples/02_eddy_identification/pet_sla_and_adt.py
@@ -31,7 +31,9 @@ def update_axes(ax, mappable=None):
 # Load Input grid, ADT will be used to detect eddies
 
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 g.add_uv("adt", "ugos", "vgos")
 g.add_uv("sla", "ugosa", "vgosa")
diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 7c7f0959..13052af5 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -11,22 +11,22 @@
 from numpy import arange, isnan, meshgrid, ones
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.observations.observation import EddiesObservations
 
 # %%
 # Load Input grid ADT
 g = RegularGridDataset(
-    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 # Compute u/v from height
 g.add_uv("adt")
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(get_path("Anticyclonic_20160515.nc"))
-c = EddiesObservations.load_file(get_path("Cyclonic_20160515.nc"))
+a = EddiesObservations.load_file(get_demo_path("Anticyclonic_20160515.nc"))
+c = EddiesObservations.load_file(get_demo_path("Cyclonic_20160515.nc"))
 
 
 # %%
diff --git a/examples/06_grid_manipulation/pet_filter.py b/examples/06_grid_manipulation/pet_filter.py
index 2975325d..ae4356d7 100644
--- a/examples/06_grid_manipulation/pet_filter.py
+++ b/examples/06_grid_manipulation/pet_filter.py
@@ -32,7 +32,9 @@ def update_axes(ax, mappable=None):
 # %%
 # All information will be for regular grid
 g = RegularGridDataset(
-    data.get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    data.get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"),
+    "longitude",
+    "latitude",
 )
 # %%
 # Kernel
diff --git a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
index 58a31374..388c9c7f 100644
--- a/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
+++ b/examples/06_grid_manipulation/pet_hide_pixel_out_eddies.py
@@ -15,12 +15,12 @@
 
 # %%
 # Load an eddy file which contains contours
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
 
 # %%
 # Load a grid where we want found pixels in eddies or out
 g = RegularGridDataset(
-    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    data.get_demo_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
     "longitude",
     "latitude",
 )
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 6e86933d..e0dbbb54 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -25,7 +25,7 @@
 from numpy import arange, meshgrid, zeros
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 from py_eddy_tracker.observations.observation import EddiesObservations
 
@@ -82,7 +82,7 @@ def save(self, *args, **kwargs):
 # .. math::
 #     \omega = \frac{\partial v}{\partial x} - \frac{\partial u}{\partial y}
 g = RegularGridDataset(
-    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 g.add_uv("adt")
 u_y = g.compute_stencil(g.grid("u"), vertical=True)
@@ -171,8 +171,10 @@ def update(i_frame):
 # Period used for LAVD integration (8 days) is too short for a real use, but choose for example efficiency.
 fig, ax, _ = start_ax()
 mappable = lavd.display(ax, "lavd", **kw_vorticity)
-EddiesObservations.load_file(get_path("Anticyclonic_20160515.nc")).display(
+EddiesObservations.load_file(get_demo_path("Anticyclonic_20160515.nc")).display(
+    ax, color="k"
+)
+EddiesObservations.load_file(get_demo_path("Cyclonic_20160515.nc")).display(
     ax, color="k"
 )
-EddiesObservations.load_file(get_path("Cyclonic_20160515.nc")).display(ax, color="k")
 _ = update_axes(ax, mappable)
diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
index 577178c5..c60a92fb 100644
--- a/examples/06_grid_manipulation/pet_okubo_weiss.py
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -40,13 +40,13 @@ def update_axes(axes, mappable=None):
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
-c = EddiesObservations.load_file(data.get_path("Cyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
+c = EddiesObservations.load_file(data.get_demo_path("Cyclonic_20190223.nc"))
 
 # %%
 # Load Input grid, ADT will be used to detect eddies
 g = RegularGridDataset(
-    data.get_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
+    data.get_demo_path("nrt_global_allsat_phy_l4_20190223_20190226.nc"),
     "longitude",
     "latitude",
 )
diff --git a/examples/07_cube_manipulation/pet_cube.py b/examples/07_cube_manipulation/pet_cube.py
index 50431f58..6c0db253 100644
--- a/examples/07_cube_manipulation/pet_cube.py
+++ b/examples/07_cube_manipulation/pet_cube.py
@@ -14,7 +14,7 @@
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import start_logger
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection
 
 start_logger().setLevel("ERROR")
@@ -44,7 +44,7 @@ def save(self, *args, **kwargs):
 # ----
 # Load Input time grid ADT
 c = GridCollection.from_netcdf_cube(
-    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
     "latitude",
     "time",
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index bbeb0007..46c5fdcc 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -17,7 +17,7 @@
 from numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros
 
 from py_eddy_tracker import start_logger
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset
 
 start_logger().setLevel("ERROR")
@@ -27,7 +27,7 @@
 # ADT in med
 # ----------
 c = GridCollection.from_netcdf_cube(
-    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
     "latitude",
     "time",
diff --git a/examples/07_cube_manipulation/pet_lavd_detection.py b/examples/07_cube_manipulation/pet_lavd_detection.py
index dad99498..dc3a83ff 100644
--- a/examples/07_cube_manipulation/pet_lavd_detection.py
+++ b/examples/07_cube_manipulation/pet_lavd_detection.py
@@ -25,7 +25,7 @@
 
 import py_eddy_tracker.gui
 from py_eddy_tracker import start_logger
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset
 
 start_logger().setLevel("ERROR")
@@ -73,7 +73,7 @@ def update_axes(ax, mappable=None):
 
 # Load data cube of 3 month
 c = GridCollection.from_netcdf_cube(
-    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
     "latitude",
     "time",
diff --git a/examples/08_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
index b1add536..30ad75a6 100644
--- a/examples/08_tracking_manipulation/pet_display_field.py
+++ b/examples/08_tracking_manipulation/pet_display_field.py
@@ -12,7 +12,7 @@
 # %%
 # Load an experimental cyclonic atlas, we keep only eddies which are follow more than 180 days
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 c = c.extract_with_length((180, -1))
 
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index 624395ac..13a8d3ad 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -12,10 +12,12 @@
 # %%
 # Load experimental atlas
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 print(a)
 
diff --git a/examples/08_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
index 710ab6cf..9f930281 100644
--- a/examples/08_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -10,7 +10,9 @@
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 eddy = a.extract_ids([9672])
 eddy_f = a.extract_ids([9672])
diff --git a/examples/08_tracking_manipulation/pet_run_a_tracking.py b/examples/08_tracking_manipulation/pet_run_a_tracking.py
index f7ac5ca9..15d8b18b 100644
--- a/examples/08_tracking_manipulation/pet_run_a_tracking.py
+++ b/examples/08_tracking_manipulation/pet_run_a_tracking.py
@@ -7,16 +7,16 @@
 
 # %%
 
-from py_eddy_tracker.data import get_remote_sample
+from py_eddy_tracker.data import get_remote_demo_sample
 from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
 from py_eddy_tracker.gui import GUI
 from py_eddy_tracker.tracking import Correspondances
 
 # %%
 # Get remote data, we will keep only 180 first days,
-# `get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename
+# `get_remote_demo_sample` function is only to get demo dataset, in your own case give a list of identification filename
 # and don't mix cyclonic and anticyclonic files.
-file_objects = get_remote_sample(
+file_objects = get_remote_demo_sample(
     "eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012"
 )[:180]
 
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index bd18585d..b88f37e1 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -11,7 +11,7 @@
 # %%
 # Load experimental atlas, we filter position to have nice display
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 c.position_filter(median_half_window=1, loess_half_window=5)
 
diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index f65ad157..0c18a0ba 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -13,7 +13,9 @@
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 # We get only 300 first step to save time of documentation builder
 eddy = a.extract_ids([9672]).index(slice(0, 300))
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 9bf27382..6776b47e 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -39,7 +39,9 @@ def save(self, *args, **kwargs):
 # %%
 # Load experimental atlas, and we select one eddy
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 eddy = a.extract_ids([9672])
 
diff --git a/examples/10_tracking_diagnostics/pet_birth_and_death.py b/examples/10_tracking_diagnostics/pet_birth_and_death.py
index 612c32f7..d917efbd 100644
--- a/examples/10_tracking_diagnostics/pet_birth_and_death.py
+++ b/examples/10_tracking_diagnostics/pet_birth_and_death.py
@@ -41,10 +41,12 @@ def update_axes(ax, mappable=None):
     )
 )
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
 # %%
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 01c27a0f..6d9fa417 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -14,10 +14,12 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
 # %%
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
index 137133b3..d2a7e90d 100644
--- a/examples/10_tracking_diagnostics/pet_geographic_stats.py
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -22,10 +22,12 @@ def start_axes(title):
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019), we merge the 2 datasets
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 a = a.merge(c)
 
diff --git a/examples/10_tracking_diagnostics/pet_groups.py b/examples/10_tracking_diagnostics/pet_groups.py
index e080310b..f6e800ae 100644
--- a/examples/10_tracking_diagnostics/pet_groups.py
+++ b/examples/10_tracking_diagnostics/pet_groups.py
@@ -12,7 +12,9 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 
 # %%
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index cd7abf49..b2eff842 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -12,10 +12,12 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 kwargs_a = dict(label="Anticyclonic", color="r", histtype="step", density=True)
 kwargs_c = dict(label="Cyclonic", color="b", histtype="step", density=True)
diff --git a/examples/10_tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
index 95f75718..9f84e790 100644
--- a/examples/10_tracking_diagnostics/pet_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_lifetime.py
@@ -12,10 +12,12 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 nb_year = (a.period[1] - a.period[0] + 1) / 365.25
 
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 63a466c9..3907ce19 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -14,10 +14,12 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 
 # %%
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index f13b03bb..6a65a212 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -13,10 +13,12 @@
 # %%
 # Load an experimental med atlas over a period of 26 years (1993-2019)
 a = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
 )
 c = TrackEddiesObservations.load_file(
-    py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
 )
 nb_year = (a.period[1] - a.period[0] + 1) / 365.25
 
diff --git a/examples/12_external_data/pet_SST_collocation.py b/examples/12_external_data/pet_SST_collocation.py
index 0855f631..defe00df 100644
--- a/examples/12_external_data/pet_SST_collocation.py
+++ b/examples/12_external_data/pet_SST_collocation.py
@@ -17,8 +17,10 @@
 
 date = datetime(2016, 7, 7)
 
-filename_alt = data.get_path(f"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc")
-filename_sst = data.get_path(
+filename_alt = data.get_demo_path(
+    f"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc"
+)
+filename_sst = data.get_demo_path(
     f"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc"
 )
 var_name_sst = "analysed_sst"
@@ -30,7 +32,7 @@
 # ------------
 sst = RegularGridDataset(filename=filename_sst, x_name="lon", y_name="lat")
 alti = RegularGridDataset(
-    data.get_path(filename_alt), x_name="longitude", y_name="latitude"
+    data.get_demo_path(filename_alt), x_name="longitude", y_name="latitude"
 )
 # We can use `Grid` tools to interpolate ADT on the sst grid
 sst.regrid(alti, "sla")
diff --git a/examples/14_generic_tools/pet_fit_contour.py b/examples/14_generic_tools/pet_fit_contour.py
index ca472e34..9c3f9183 100644
--- a/examples/14_generic_tools/pet_fit_contour.py
+++ b/examples/14_generic_tools/pet_fit_contour.py
@@ -19,7 +19,7 @@
 
 # %%
 # Load example identification file
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
 
 
 # %%
diff --git a/examples/14_generic_tools/pet_visvalingam.py b/examples/14_generic_tools/pet_visvalingam.py
index b946a9db..f7b29c10 100644
--- a/examples/14_generic_tools/pet_visvalingam.py
+++ b/examples/14_generic_tools/pet_visvalingam.py
@@ -51,7 +51,7 @@ def update_line(num):
 
 # %%
 # Load detection files
-a = EddiesObservations.load_file(data.get_path("Anticyclonic_20190223.nc"))
+a = EddiesObservations.load_file(data.get_demo_path("Anticyclonic_20190223.nc"))
 a = a.extract_with_mask((abs(a.lat) < 66) * (abs(a.radius_e) > 80e3))
 
 nb_pt = 10
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index d25d4429..540d312d 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -6,11 +6,11 @@
 from numpy import ma
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_remote_sample
+from py_eddy_tracker.data import get_remote_demo_sample
 from py_eddy_tracker.observations.network import NetworkObservations
 
 n = NetworkObservations.load_file(
-    get_remote_sample(
+    get_remote_demo_sample(
         "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
     )
 )
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 0a57d346..65746015 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -14,7 +14,7 @@
 
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.appli.gui import Anim
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.poly import group_obs
@@ -42,12 +42,12 @@ def save(self, *args, **kwargs):
 
 
 # %%
-n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+n = NetworkObservations.load_file(get_demo_path("network_med.nc")).network(651)
 n = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))
 n = n.remove_dead_end(nobs=0, ndays=10)
 n.numbering_segment()
 c = GridCollection.from_netcdf_cube(
-    get_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
     "latitude",
     "time",
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 9264282a..8ecee534 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -93,7 +93,7 @@ def get_group_array(self, results, nb_obs):
 
 # %%
 # Get data from period and area
-e = EddiesObservations.load_file(data.get_path("network_med.nc"))
+e = EddiesObservations.load_file(data.get_demo_path("network_med.nc"))
 e = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(
     dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)
 )
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 4ccf3501..7669b010 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -18,7 +18,7 @@
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
 
 
@@ -71,7 +71,9 @@ def update_axes(ax, mappable=None):
 
 # %%
 # We know the network ID, we will get directly
-ioannou_case = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+ioannou_case = NetworkObservations.load_file(get_demo_path("network_med.nc")).network(
+    651
+)
 print(ioannou_case.infos())
 
 # %%
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 456b008d..2759edb4 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -13,7 +13,7 @@
 # Load data
 # ---------
 # Load data where observations are put in same network but no segmentation
-n = NetworkObservations.load_file(data.get_path("network_med.nc")).network(651)
+n = NetworkObservations.load_file(data.get_demo_path("network_med.nc")).network(651)
 i = where(
     (n.lat > 33)
     * (n.lat < 34)
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 1a296dac..c33028fc 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -12,7 +12,7 @@
 from numpy import where
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -91,7 +91,7 @@ def get_obs(dataset):
 
 # %%
 # Get original network, we will isolate only relative at order *2*
-n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+n = NetworkObservations.load_file(get_demo_path("network_med.nc")).network(651)
 n_ = n.relative(get_obs(n), order=2)
 
 # %%
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 60dae443..b2757809 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -11,7 +11,7 @@
 from numpy import ones, where
 
 import py_eddy_tracker.gui
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -69,7 +69,7 @@ def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
 # Load data where observations are put in same network but no segmentation
 
 # Get a known network for the demonstration
-n = NetworkObservations.load_file(get_path("network_med.nc")).network(651)
+n = NetworkObservations.load_file(get_demo_path("network_med.nc")).network(651)
 # We keep only some segment
 n = n.relative(get_obs(n), order=2)
 print(len(n))
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index b24a8a17..4b4a6630 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import py_eddy_tracker_sample\n\nfrom py_eddy_tracker.data import get_path, get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.observation import EddiesObservations, Table\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "import py_eddy_tracker_sample\n\nfrom py_eddy_tracker.data import get_demo_path, get_remote_demo_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.observation import EddiesObservations, Table\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -51,7 +51,7 @@
       },
       "outputs": [],
       "source": [
-        "eddies_collections = EddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\"))\neddies_collections.field_table()\n# offset and scale_factor are used only when data is stored in zarr or netCDF4"
+        "eddies_collections = EddiesObservations.load_file(get_demo_path(\"Cyclonic_20160515.nc\"))\neddies_collections.field_table()\n# offset and scale_factor are used only when data is stored in zarr or netCDF4"
       ]
     },
     {
@@ -123,7 +123,7 @@
       },
       "outputs": [],
       "source": [
-        "eddies_tracks = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n# In this example some fields are removed (effective_contour_longitude,...) in order to save time for doc building\neddies_tracks.field_table()"
+        "eddies_tracks = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\n# In this example some fields are removed (effective_contour_longitude,...) in order to save time for doc building\neddies_tracks.field_table()"
       ]
     },
     {
@@ -141,7 +141,7 @@
       },
       "outputs": [],
       "source": [
-        "eddies_network = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\neddies_network.field_table()"
+        "eddies_network = NetworkObservations.load_file(\n    get_remote_demo_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\neddies_network.field_table()"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index 27bc522a..36989357 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 31abe783..6d40974f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_demo_path(\"Cyclonic_20190223.nc\"))"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index d63797ae..679ad2a8 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
index d9417d22..c2a3648d 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "margin = 30\n\nkw_data = dict(\n    filename=data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    x_name=\"longitude\",\n    y_name=\"latitude\",\n    # Manual area subset\n    indexs=dict(\n        latitude=slice(100 - margin, 220 + margin),\n        longitude=slice(0, 230 + margin),\n    ),\n)\ng_raw = RegularGridDataset(**kw_data)\ng_raw.add_uv(\"adt\")\ng = RegularGridDataset(**kw_data)\ng.copy(\"adt\", \"adt_low\")\ng.bessel_high_filter(\"adt\", 700)\ng.bessel_low_filter(\"adt_low\", 700)\ng.add_uv(\"adt\")"
+        "margin = 30\n\nkw_data = dict(\n    filename=data.get_demo_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    x_name=\"longitude\",\n    y_name=\"latitude\",\n    # Manual area subset\n    indexs=dict(\n        latitude=slice(100 - margin, 220 + margin),\n        longitude=slice(0, 230 + margin),\n    ),\n)\ng_raw = RegularGridDataset(**kw_data)\ng_raw.add_uv(\"adt\")\ng = RegularGridDataset(**kw_data)\ng.copy(\"adt\", \"adt_low\")\ng.bessel_high_filter(\"adt\", 700)\ng.bessel_low_filter(\"adt_low\", 700)\ng.add_uv(\"adt\")"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index cf357d7b..c39bc011 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "margin = 30\ng = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n    # Manual area subset\n    indexs=dict(\n        longitude=slice(1116 - margin, 1216 + margin),\n        latitude=slice(476 - margin, 536 + margin),\n    ),\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\n# Draw line on the gulf stream front\ngreat_current = Contours(g.x_c, g.y_c, g.grid(\"adt\"), levels=(0.35,), keep_unclose=True)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
+        "margin = 30\ng = RegularGridDataset(\n    data.get_demo_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n    # Manual area subset\n    indexs=dict(\n        longitude=slice(1116 - margin, 1216 + margin),\n        latitude=slice(476 - margin, 536 + margin),\n    ),\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-1, vmax=1, cmap=\"RdBu_r\")\n# Draw line on the gulf stream front\ngreat_current = Contours(g.x_c, g.y_c, g.grid(\"adt\"), levels=(0.35,), keep_unclose=True)\ngreat_current.display(ax, color=\"k\")\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 4dec3709..2276317a 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
index 8207f8d1..203a7362 100644
--- a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\naviso_map.add_uv(\"adt\")"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_demo_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\naviso_map.add_uv(\"adt\")"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
index 8ab39ebc..c70f7dd6 100644
--- a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nareas = list()\n# For each contour area will be compute in local reference\nfor i in a:\n    x, y = coordinates_to_local(\n        i[\"contour_lon_s\"], i[\"contour_lat_s\"], i[\"lon\"], i[\"lat\"]\n    )\n    areas.append(poly_area(x, y))\nareas = array(areas)"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))\nareas = list()\n# For each contour area will be compute in local reference\nfor i in a:\n    x, y = coordinates_to_local(\n        i[\"contour_lon_s\"], i[\"contour_lat_s\"], i[\"lon\"], i[\"lat\"]\n    )\n    areas.append(poly_area(x, y))\nareas = array(areas)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
index f367d7e2..65091120 100644
--- a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\nc = Contours(g.x_c, g.y_c, g.grid(\"adt\") * 100, arange(-50, 50, 0.2))\ncontours = dict()\nfor coll in c.iter():\n    for current_contour in coll.get_paths():\n        _, _, _, aerr = current_contour.fit_circle()\n        i = int(aerr // 4) + 1\n        if i not in contours:\n            contours[i] = list()\n        contours[i].append(current_contour)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\nc = Contours(g.x_c, g.y_c, g.grid(\"adt\") * 100, arange(-50, 50, 0.2))\ncontours = dict()\nfor coll in c.iter():\n    for current_contour in coll.get_paths():\n        _, _, _, aerr = current_contour.fit_circle()\n        i = int(aerr // 4) + 1\n        if i not in contours:\n            contours[i] = list()\n        contours[i].append(current_contour)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 083a5a5a..3c40e49f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 5de7c46a..53725a05 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# Compute u/v from height\ng.add_uv(\"adt\")"
+        "g = RegularGridDataset(\n    get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n# Compute u/v from height\ng.add_uv(\"adt\")"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(get_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\"))"
+        "a = EddiesObservations.load_file(get_demo_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(get_demo_path(\"Cyclonic_20160515.nc\"))"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index dcc9c0d3..abf4553e 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index 9ef65cb5..c9bca31e 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index be1a9c78..fdd7768c 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -66,7 +66,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    get_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\nu_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"v\"))\ng.vars[\"vort\"] = v_x - u_y"
+        "g = RegularGridDataset(\n    get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\nu_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\nv_x = g.compute_stencil(g.grid(\"v\"))\ng.vars[\"vort\"] = v_x - u_y"
       ]
     },
     {
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nEddiesObservations.load_file(get_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nEddiesObservations.load_file(get_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
+        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nEddiesObservations.load_file(get_demo_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nEddiesObservations.load_file(get_demo_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
       ]
     }
   ],
diff --git a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
index 73abbcda..b410be0a 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_path(\"Cyclonic_20190223.nc\"))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))\nc = EddiesObservations.load_file(data.get_demo_path(\"Cyclonic_20190223.nc\"))"
       ]
     },
     {
@@ -73,7 +73,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\nax = start_axes(\"ADT (cm)\")\nm = g.display(ax, \"adt\", vmin=-120, vmax=120, factor=100)\nupdate_axes(ax, m)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"nrt_global_allsat_phy_l4_20190223_20190226.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\nax = start_axes(\"ADT (cm)\")\nm = g.display(ax, \"adt\", vmin=-120, vmax=120, factor=100)\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
index aa9ad093..63cd36dc 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
+        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index f42b3e43..e821df6d 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "c = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
+        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    # To create U/V variable\n    heigth=\"adt\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
index afc17825..e123abe4 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, isnan, ma, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, isnan, ma, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -66,7 +66,7 @@
       },
       "outputs": [],
       "source": [
-        "# Load data cube of 3 month\nc = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)\n\n# Add vorticity at each time step\nfor g in c:\n    u_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\n    v_x = g.compute_stencil(g.grid(\"v\"))\n    g.vars[\"vort\"] = v_x - u_y"
+        "# Load data cube of 3 month\nc = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)\n\n# Add vorticity at each time step\nfor g in c:\n    u_y = g.compute_stencil(g.grid(\"u\"), vertical=True)\n    v_x = g.compute_stencil(g.grid(\"v\"))\n    g.vars[\"vort\"] = v_x - u_y"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
index 58e4ff06..bf924b36 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc = c.extract_with_length((180, -1))"
+        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc = c.extract_with_length((180, -1))"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index edb20deb..2d7b600d 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nprint(a)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nprint(a)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index 13d5a9a3..d1529e26 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index 3b5cc8e5..e8871283 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -26,14 +26,14 @@
       },
       "outputs": [],
       "source": [
-        "from py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom py_eddy_tracker.gui import GUI\nfrom py_eddy_tracker.tracking import Correspondances"
+        "from py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\nfrom py_eddy_tracker.gui import GUI\nfrom py_eddy_tracker.tracking import Correspondances"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Get remote data, we will keep only 180 first days,\n`get_remote_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files.\n\n"
+        "Get remote data, we will keep only 180 first days,\n`get_remote_demo_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files.\n\n"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "file_objects = get_remote_sample(\n    \"eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012\"\n)[:180]"
+        "file_objects = get_remote_demo_sample(\n    \"eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012\"\n)[:180]"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index df79f8ea..5ba0d481 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc.position_filter(median_half_window=1, loess_half_window=5)"
+        "c = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nc.position_filter(median_half_window=1, loess_half_window=5)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 9a2510b2..402eb6a4 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n# We get only 300 first step to save time of documentation builder\neddy = a.extract_ids([9672]).index(slice(0, 300))"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n# We get only 300 first step to save time of documentation builder\neddy = a.extract_ids([9672]).index(slice(0, 300))"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 4b35ba38..eb028afa 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
index 739b907a..e1824f22 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_load = dict(\n    include_vars=(\n        \"longitude\",\n        \"latitude\",\n        \"observation_number\",\n        \"track\",\n        \"time\",\n        \"speed_contour_longitude\",\n        \"speed_contour_latitude\",\n    )\n)\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "kwargs_load = dict(\n    include_vars=(\n        \"longitude\",\n        \"latitude\",\n        \"observation_number\",\n        \"track\",\n        \"time\",\n        \"speed_contour_longitude\",\n        \"speed_contour_latitude\",\n    )\n)\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 023b9178..1f2d5b6a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index 28bf4579..ff42b21d 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
index 944167fd..55d299d4 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index c28ff02a..1d8251d1 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 40cc8e73..4aa3304f 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 14141cd1..43929105 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index 3cfb6140..da8f0976 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
diff --git a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
index 025b62d0..1d22e1ef 100644
--- a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
+++ b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_demo_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_demo_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
       ]
     },
     {
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "sst = RegularGridDataset(filename=filename_sst, x_name=\"lon\", y_name=\"lat\")\nalti = RegularGridDataset(\n    data.get_path(filename_alt), x_name=\"longitude\", y_name=\"latitude\"\n)\n# We can use `Grid` tools to interpolate ADT on the sst grid\nsst.regrid(alti, \"sla\")\nsst.add_uv(\"sla\")"
+        "sst = RegularGridDataset(filename=filename_sst, x_name=\"lon\", y_name=\"lat\")\nalti = RegularGridDataset(\n    data.get_demo_path(filename_alt), x_name=\"longitude\", y_name=\"latitude\"\n)\n# We can use `Grid` tools to interpolate ADT on the sst grid\nsst.regrid(alti, \"sla\")\nsst.add_uv(\"sla\")"
       ]
     },
     {
diff --git a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
index 9f5bbc84..4cec72b2 100644
--- a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))"
       ]
     },
     {
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
index b593f21b..0183abde 100644
--- a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_path(\"Anticyclonic_20190223.nc\"))\na = a.extract_with_mask((abs(a.lat) < 66) * (abs(a.radius_e) > 80e3))\n\nnb_pt = 10\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_6 = scores_v - scores_u\nnb_pt = 18\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_12 = scores_v - scores_u\na = a.index(array((d_6.argmin(), d_6.argmax(), d_12.argmin(), d_12.argmax())))"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20190223.nc\"))\na = a.extract_with_mask((abs(a.lat) < 66) * (abs(a.radius_e) > 80e3))\n\nnb_pt = 10\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_6 = scores_v - scores_u\nnb_pt = 18\nx_v, y_v = visvalingam_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nx_u, y_u = uniform_resample_polys(a.contour_lon_e, a.contour_lat_e, nb_pt)\nscores_v = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_v, y_v) * 100.0\nscores_u = vertice_overlap(a.contour_lon_e, a.contour_lat_e, x_u, y_u) * 100.0\nd_12 = scores_v - scores_u\na = a.index(array((d_6.argmin(), d_6.argmax(), d_12.argmin(), d_12.argmax())))"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_atlas.ipynb b/notebooks/python_module/16_network/pet_atlas.ipynb
index c53e4b23..514317a6 100644
--- a/notebooks/python_module/16_network/pet_atlas.ipynb
+++ b/notebooks/python_module/16_network/pet_atlas.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numpy import ma\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_remote_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nn = NetworkObservations.load_file(\n    get_remote_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)"
+        "from matplotlib import pyplot as plt\nfrom numpy import ma\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nn = NetworkObservations.load_file(\n    get_remote_demo_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 580c848c..30c85a49 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
+        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -48,7 +48,7 @@
       },
       "outputs": [],
       "source": [
-        "n = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nn = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))\nn = n.remove_dead_end(nobs=0, ndays=10)\nn.numbering_segment()\nc = GridCollection.from_netcdf_cube(\n    get_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+        "n = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(651)\nn = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))\nn = n.remove_dead_end(nobs=0, ndays=10)\nn.numbering_segment()\nc = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index 6983bd21..ffb9dd17 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -102,7 +102,7 @@
       },
       "outputs": [],
       "source": [
-        "e = EddiesObservations.load_file(data.get_path(\"network_med.nc\"))\ne = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(\n    dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)\n)"
+        "e = EddiesObservations.load_file(data.get_demo_path(\"network_med.nc\"))\ne = e.extract_with_mask((e.time >= t0) * (e.time < t1)).extract_with_area(\n    dict(llcrnrlon=25, urcrnrlon=35, llcrnrlat=31, urcrnrlat=37.5)\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 7019b1fa..d4ef20f3 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations"
       ]
     },
     {
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "ioannou_case = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nprint(ioannou_case.infos())"
+        "ioannou_case = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(651)\nprint(ioannou_case.infos())"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_relative.ipynb b/notebooks/python_module/16_network/pet_relative.ipynb
index 85744514..23537375 100644
--- a/notebooks/python_module/16_network/pet_relative.ipynb
+++ b/notebooks/python_module/16_network/pet_relative.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "n = NetworkObservations.load_file(data.get_path(\"network_med.nc\")).network(651)\ni = where(\n    (n.lat > 33)\n    * (n.lat < 34)\n    * (n.lon > 22)\n    * (n.lon < 23)\n    * (n.time > 20630)\n    * (n.time < 20650)\n)[0][0]\n# For event use\nn2 = n.relative(i, order=2)\nn = n.relative(i, order=4)\nn.numbering_segment()"
+        "n = NetworkObservations.load_file(data.get_demo_path(\"network_med.nc\")).network(651)\ni = where(\n    (n.lat > 33)\n    * (n.lat < 34)\n    * (n.lon > 22)\n    * (n.lon < 23)\n    * (n.time > 20630)\n    * (n.time < 20650)\n)[0][0]\n# For event use\nn2 = n.relative(i, order=2)\nn = n.relative(i, order=4)\nn.numbering_segment()"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
index 01ddbcfc..7acb3f51 100644
--- a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
+++ b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "n = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\nn_ = n.relative(get_obs(n), order=2)"
+        "n = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(651)\nn_ = n.relative(get_obs(n), order=2)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 2095ad14..18da8478 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -73,7 +73,7 @@
       },
       "outputs": [],
       "source": [
-        "# Get a known network for the demonstration\nn = NetworkObservations.load_file(get_path(\"network_med.nc\")).network(651)\n# We keep only some segment\nn = n.relative(get_obs(n), order=2)\nprint(len(n))\n# We convert and order object like segmentation was never happen on observations\ne = n.astype(MyTrack)\ne.obs.sort(order=(\"track\", \"time\"), kind=\"stable\")"
+        "# Get a known network for the demonstration\nn = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(651)\n# We keep only some segment\nn = n.relative(get_obs(n), order=2)\nprint(len(n))\n# We convert and order object like segmentation was never happen on observations\ne = n.astype(MyTrack)\ne.obs.sort(order=(\"track\", \"time\"), kind=\"stable\")"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 59df8a0f..4702af8f 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -16,11 +16,11 @@
 import requests
 
 
-def get_path(name):
+def get_demo_path(name):
     return path.join(path.dirname(__file__), name)
 
 
-def get_remote_sample(path):
+def get_remote_demo_sample(path):
     if path.startswith("/") or path.startswith("."):
         content = open(path, "rb").read()
         if path.endswith(".nc"):
diff --git a/tests/test_grid.py b/tests/test_grid.py
index a7de8f8b..2c89550a 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -2,10 +2,10 @@
 from numpy import array, isnan, ma
 from pytest import approx
 
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 
-G = RegularGridDataset(get_path("mask_1_60.nc"), "lon", "lat")
+G = RegularGridDataset(get_demo_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
 contour = Path(
     (
diff --git a/tests/test_id.py b/tests/test_id.py
index cedcdff8..c69a5a26 100644
--- a/tests/test_id.py
+++ b/tests/test_id.py
@@ -1,10 +1,10 @@
 from datetime import datetime
 
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
 
 g = RegularGridDataset(
-    get_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
+    get_demo_path("dt_med_allsat_phy_l4_20160515_20190101.nc"), "longitude", "latitude"
 )
 
 
diff --git a/tests/test_obs.py b/tests/test_obs.py
index 59a1edab..a912e06b 100644
--- a/tests/test_obs.py
+++ b/tests/test_obs.py
@@ -1,11 +1,11 @@
 import zarr
 
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.observation import EddiesObservations
 
 a_filename, c_filename = (
-    get_path("Anticyclonic_20190223.nc"),
-    get_path("Cyclonic_20190223.nc"),
+    get_demo_path("Anticyclonic_20190223.nc"),
+    get_demo_path("Cyclonic_20190223.nc"),
 )
 a = EddiesObservations.load_file(a_filename)
 a_raw = EddiesObservations.load_file(a_filename, raw_data=True)
diff --git a/tests/test_track.py b/tests/test_track.py
index f1d5903e..4f362a26 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -1,12 +1,12 @@
 import zarr
 from netCDF4 import Dataset
 
-from py_eddy_tracker.data import get_path
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
 from py_eddy_tracker.observations.observation import EddiesObservations
 from py_eddy_tracker.tracking import Correspondances
 
-filename = get_path("Anticyclonic_20190223.nc")
+filename = get_demo_path("Anticyclonic_20190223.nc")
 a0 = EddiesObservations.load_file(filename)
 a1 = a0.copy()
 

From 00e2454c0458b98d7743c779e5fa0472bbfbcb7e Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Mar 2021 22:55:05 +0200
Subject: [PATCH 326/441] use of explicit get_demo_path

---
 .../02_eddy_identification/pet_eddy_detection.ipynb             | 2 +-
 .../02_eddy_identification/pet_filter_and_detection.ipynb       | 2 +-
 .../02_eddy_identification/pet_interp_grid_on_dataset.ipynb     | 2 +-
 .../02_eddy_identification/pet_shape_gallery.ipynb              | 2 +-
 .../python_module/02_eddy_identification/pet_sla_and_adt.ipynb  | 2 +-
 notebooks/python_module/06_grid_manipulation/pet_filter.ipynb   | 2 +-
 notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb     | 2 +-
 .../08_tracking_manipulation/pet_display_track.ipynb            | 2 +-
 .../python_module/08_tracking_manipulation/pet_one_track.ipynb  | 2 +-
 .../python_module/08_tracking_manipulation/pet_track_anim.ipynb | 2 +-
 .../pet_track_anim_matplotlib_animation.ipynb                   | 2 +-
 .../10_tracking_diagnostics/pet_birth_and_death.ipynb           | 2 +-
 .../10_tracking_diagnostics/pet_center_count.ipynb              | 2 +-
 .../10_tracking_diagnostics/pet_geographic_stats.ipynb          | 2 +-
 .../python_module/10_tracking_diagnostics/pet_groups.ipynb      | 2 +-
 notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb | 2 +-
 .../python_module/10_tracking_diagnostics/pet_lifetime.ipynb    | 2 +-
 .../python_module/10_tracking_diagnostics/pet_pixel_used.ipynb  | 2 +-
 .../python_module/10_tracking_diagnostics/pet_propagation.ipynb | 2 +-
 .../python_module/12_external_data/pet_SST_collocation.ipynb    | 2 +-
 notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb  | 2 +-
 21 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index 679ad2a8..fb6c17f8 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\n\nax = start_axes(\"ADT (m)\")\nm = g.display(ax, \"adt\", vmin=-0.15, vmax=0.15, cmap=\"RdBu_r\")\nupdate_axes(ax, m)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 2276317a..63e763ff 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\ng.add_uv(\"adt\")\ng.copy(\"adt\", \"adt_high\")\nwavelength = 800\ng.bessel_high_filter(\"adt_high\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
index 203a7362..94e61b30 100644
--- a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_demo_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\naviso_map.add_uv(\"adt\")"
+        "a = EddiesObservations.load_file(data.get_demo_path(\"Anticyclonic_20160515.nc\"))\nc = EddiesObservations.load_file(data.get_demo_path(\"Cyclonic_20160515.nc\"))\n\naviso_map = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\naviso_map.add_uv(\"adt\")"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
index 65091120..ffa58c1f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\nc = Contours(g.x_c, g.y_c, g.grid(\"adt\") * 100, arange(-50, 50, 0.2))\ncontours = dict()\nfor coll in c.iter():\n    for current_contour in coll.get_paths():\n        _, _, _, aerr = current_contour.fit_circle()\n        i = int(aerr // 4) + 1\n        if i not in contours:\n            contours[i] = list()\n        contours[i].append(current_contour)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\nc = Contours(g.x_c, g.y_c, g.grid(\"adt\") * 100, arange(-50, 50, 0.2))\ncontours = dict()\nfor coll in c.iter():\n    for current_contour in coll.get_paths():\n        _, _, _, aerr = current_contour.fit_circle()\n        i = int(aerr // 4) + 1\n        if i not in contours:\n            contours[i] = list()\n        contours[i].append(current_contour)"
       ]
     },
     {
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index 3c40e49f..efbfcc76 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)\ng.add_uv(\"adt\", \"ugos\", \"vgos\")\ng.add_uv(\"sla\", \"ugosa\", \"vgosa\")\nwavelength = 400\ng.copy(\"adt\", \"adt_raw\")\ng.copy(\"sla\", \"sla_raw\")\ng.bessel_high_filter(\"adt\", wavelength)\ng.bessel_high_filter(\"sla\", wavelength)\ndate = datetime(2016, 5, 15)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index abf4553e..74a266c2 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"), \"longitude\", \"latitude\"\n)"
+        "g = RegularGridDataset(\n    data.get_demo_path(\"dt_med_allsat_phy_l4_20160515_20190101.nc\"),\n    \"longitude\",\n    \"latitude\",\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index fdd7768c..6cef91bc 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nEddiesObservations.load_file(get_demo_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nEddiesObservations.load_file(get_demo_path(\"Cyclonic_20160515.nc\")).display(ax, color=\"k\")\n_ = update_axes(ax, mappable)"
+        "fig, ax, _ = start_ax()\nmappable = lavd.display(ax, \"lavd\", **kw_vorticity)\nEddiesObservations.load_file(get_demo_path(\"Anticyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\nEddiesObservations.load_file(get_demo_path(\"Cyclonic_20160515.nc\")).display(\n    ax, color=\"k\"\n)\n_ = update_axes(ax, mappable)"
       ]
     }
   ],
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index 2d7b600d..1af7b49a 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nprint(a)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nprint(a)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index d1529e26..2749f7e9 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\neddy = a.extract_ids([9672])\neddy_f = a.extract_ids([9672])\neddy_f.position_filter(median_half_window=1, loess_half_window=5)"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 402eb6a4..041c8987 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\n# We get only 300 first step to save time of documentation builder\neddy = a.extract_ids([9672]).index(slice(0, 300))"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\n# We get only 300 first step to save time of documentation builder\neddy = a.extract_ids([9672]).index(slice(0, 300))"
       ]
     },
     {
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index eb028afa..9f77dbae 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\neddy = a.extract_ids([9672])"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\neddy = a.extract_ids([9672])"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
index e1824f22..d9a2ef2b 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs_load = dict(\n    include_vars=(\n        \"longitude\",\n        \"latitude\",\n        \"observation_number\",\n        \"track\",\n        \"time\",\n        \"speed_contour_longitude\",\n        \"speed_contour_latitude\",\n    )\n)\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "kwargs_load = dict(\n    include_vars=(\n        \"longitude\",\n        \"latitude\",\n        \"observation_number\",\n        \"track\",\n        \"time\",\n        \"speed_contour_longitude\",\n        \"speed_contour_latitude\",\n    )\n)\na = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index 1f2d5b6a..b6bb15bd 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index ff42b21d..3e884552 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\na = a.merge(c)\n\nstep = 0.1"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
index 55d299d4..85e32c6a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index 1d8251d1..851c6ca4 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nkwargs_a = dict(label=\"Anticyclonic\", color=\"r\", histtype=\"step\", density=True)\nkwargs_c = dict(label=\"Cyclonic\", color=\"b\", histtype=\"step\", density=True)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 4aa3304f..4a3ff0af 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 43929105..81bed372 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)"
       ]
     },
     {
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index da8f0976..e0d1f2d2 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\")\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
+        "a = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)\nc = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nnb_year = (a.period[1] - a.period[0] + 1) / 365.25"
       ]
     },
     {
diff --git a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
index 1d22e1ef..05b0413c 100644
--- a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
+++ b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_demo_path(f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\")\nfilename_sst = data.get_demo_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\n\ndate = datetime(2016, 7, 7)\n\nfilename_alt = data.get_demo_path(\n    f\"dt_blacksea_allsat_phy_l4_{date:%Y%m%d}_20200801.nc\"\n)\nfilename_sst = data.get_demo_path(\n    f\"{date:%Y%m%d}000000-GOS-L4_GHRSST-SSTfnd-OISST_HR_REP-BLK-v02.0-fv01.0.nc\"\n)\nvar_name_sst = \"analysed_sst\"\n\nextent = [27, 42, 40.5, 47]"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index d4ef20f3..e803df5f 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -55,7 +55,7 @@
       },
       "outputs": [],
       "source": [
-        "ioannou_case = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(651)\nprint(ioannou_case.infos())"
+        "ioannou_case = NetworkObservations.load_file(get_demo_path(\"network_med.nc\")).network(\n    651\n)\nprint(ioannou_case.infos())"
       ]
     },
     {

From 8d131153bc2d8cb16eefa648f68119fb71e4acbd Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 30 Mar 2021 08:43:51 +0200
Subject: [PATCH 327/441] Add test badge

---
 .github/workflows/python-app.yml | 2 +-
 CHANGELOG.rst                    | 8 ++++++++
 README.md                        | 1 +
 3 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 7c800b33..43fd6b2d 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -1,7 +1,7 @@
 # This workflow will install Python dependencies, run tests and lint with a single version of Python
 # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 
-name: Python application
+name: Pytest & Flake8
 
 on:
   push:
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index b974e3bd..80def41c 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -8,7 +8,15 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 
 [Unreleased]
 ------------
+Changed
+^^^^^^^
+Fixed
+^^^^^
+Added
+^^^^^
 
+[3.4.0] - 2021-03-29
+--------------------
 Changed
 ^^^^^^^
 - `TrackEddiesObservations.filled_by_interpolation` method stop to normalize longitude, to continue to have same
diff --git a/README.md b/README.md
index 95536d1d..736bf9b7 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,7 @@
 [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=stable)](https://py-eddy-tracker.readthedocs.io/en/stable/?badge=stable)
 [![Gitter](https://badges.gitter.im/py-eddy-tracker/community.svg)](https://gitter.im/py-eddy-tracker/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
+[![pytest](https://github.com/AntSimi/py-eddy-tracker/actions/workflows/python-app.yml/badge.svg)](https://github.com/AntSimi/py-eddy-tracker/actions/workflows/python-app.yml)
 
 # README #
 

From 1b2a824a6a701422909df2883a46a7b283507dda Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 30 Mar 2021 15:02:26 +0200
Subject: [PATCH 328/441] Add example from Evan Mason about normalized lifetime

---
 .../pet_normalised_lifetime.py                |  78 ++++++++++++
 .../pet_normalised_lifetime.ipynb             | 119 ++++++++++++++++++
 ..._global_allsat_phy_l4_20190223_20190226.nc |   1 +
 src/py_eddy_tracker/observations/network.py   |   2 +-
 4 files changed, 199 insertions(+), 1 deletion(-)
 create mode 100644 examples/10_tracking_diagnostics/pet_normalised_lifetime.py
 create mode 100644 notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
 create mode 120000 share/nrt_global_allsat_phy_l4_20190223_20190226.nc

diff --git a/examples/10_tracking_diagnostics/pet_normalised_lifetime.py b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
new file mode 100644
index 00000000..372b66c0
--- /dev/null
+++ b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
@@ -0,0 +1,78 @@
+"""
+Normalised Eddy Lifetimes
+=========================
+
+Example from Evan Mason
+"""
+from matplotlib import pyplot as plt
+from numba import njit
+from numpy import interp, linspace, zeros
+from py_eddy_tracker_sample import get_demo_path
+
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+
+# %%
+@njit(cache=True)
+def sum_profile(x_new, y, out):
+    """Will sum all interpolated given array"""
+    out += interp(x_new, linspace(0, 1, y.size), y)
+
+
+class MyObs(TrackEddiesObservations):
+    def eddy_norm_lifetime(self, name, nb, factor=1):
+        """
+        :param str,array name: Array or field name
+        :param int nb: size of output array
+        """
+        y = self.parse_varname(name)
+        x = linspace(0, 1, nb)
+        out = zeros(nb, dtype=y.dtype)
+        nb_track = 0
+        for i, b0, b1 in self.iter_on("track"):
+            y_ = y[i]
+            size_ = y_.size
+            if size_ == 0:
+                continue
+            sum_profile(x, y_, out)
+            nb_track += 1
+        return x, out / nb_track * factor
+
+
+# %%
+# Load atlas
+# ----------
+kw = dict(include_vars=("speed_radius", "amplitude", "track"))
+a = MyObs.load_file(
+    get_demo_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"), **kw
+)
+c = MyObs.load_file(get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr"), **kw)
+
+nb_max_a = a.nb_obs_by_track.max()
+nb_max_c = c.nb_obs_by_track.max()
+
+# %%
+# Compute normalize lifetime
+# --------------------------
+
+# Radius
+AC_radius = a.eddy_norm_lifetime("speed_radius", nb=nb_max_a, factor=1e-3)
+CC_radius = c.eddy_norm_lifetime("speed_radius", nb=nb_max_c, factor=1e-3)
+# Amplitude
+AC_amplitude = a.eddy_norm_lifetime("amplitude", nb=nb_max_a, factor=1e2)
+CC_amplitude = c.eddy_norm_lifetime("amplitude", nb=nb_max_c, factor=1e2)
+
+# %%
+# Figure
+# ------
+fig, axs = plt.subplots(nrows=2, figsize=(8, 6))
+
+axs[0].set_title("Normalised Mean Radius")
+axs[0].plot(*AC_radius), axs[0].plot(*CC_radius)
+axs[0].set_ylabel("Radius (km)"), axs[0].grid()
+axs[0].set_xlim(0, 1), axs[0].set_ylim(0, None)
+
+axs[1].set_title("Normalised Mean Amplitude")
+axs[1].plot(*AC_amplitude, label="AC"), axs[1].plot(*CC_amplitude, label="CC")
+axs[1].set_ylabel("Amplitude (cm)"), axs[1].grid(), axs[1].legend()
+_ = axs[1].set_xlim(0, 1), axs[1].set_ylim(0, None)
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
new file mode 100644
index 00000000..6c98a1cf
--- /dev/null
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
@@ -0,0 +1,119 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Normalised Eddy Lifetimes\n\nExample from Evan Mason\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import interp, linspace, zeros\nfrom py_eddy_tracker_sample import get_demo_path\n\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "@njit(cache=True)\ndef sum_profile(x_new, y, out):\n    \"\"\"Will sum all interpolated given array\"\"\"\n    out += interp(x_new, linspace(0, 1, y.size), y)\n\n\nclass MyObs(TrackEddiesObservations):\n    def eddy_norm_lifetime(self, name, nb, factor=1):\n        \"\"\"\n        :param str,array name: Array or field name\n        :param int nb: size of output array\n        \"\"\"\n        y = self.parse_varname(name)\n        x = linspace(0, 1, nb)\n        out = zeros(nb, dtype=y.dtype)\n        nb_track = 0\n        for i, b0, b1 in self.iter_on(\"track\"):\n            y_ = y[i]\n            size_ = y_.size\n            if size_ == 0:\n                continue\n            sum_profile(x, y_, out)\n            nb_track += 1\n        return x, out / nb_track * factor"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Load atlas\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "kw = dict(include_vars=(\"speed_radius\", \"amplitude\", \"track\"))\na = MyObs.load_file(\n    get_demo_path(\"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"), **kw\n)\nc = MyObs.load_file(get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\"), **kw)\n\nnb_max_a = a.nb_obs_by_track.max()\nnb_max_c = c.nb_obs_by_track.max()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Compute normalize lifetime\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Radius\nAC_radius = a.eddy_norm_lifetime(\"speed_radius\", nb=nb_max_a, factor=1e-3)\nCC_radius = c.eddy_norm_lifetime(\"speed_radius\", nb=nb_max_c, factor=1e-3)\n# Amplitude\nAC_amplitude = a.eddy_norm_lifetime(\"amplitude\", nb=nb_max_a, factor=1e2)\nCC_amplitude = c.eddy_norm_lifetime(\"amplitude\", nb=nb_max_c, factor=1e2)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Figure\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig, axs = plt.subplots(nrows=2, figsize=(8, 6))\n\naxs[0].set_title(\"Normalised Mean Radius\")\naxs[0].plot(*AC_radius), axs[0].plot(*CC_radius)\naxs[0].set_ylabel(\"Radius (km)\"), axs[0].grid()\naxs[0].set_xlim(0, 1), axs[0].set_ylim(0, None)\n\naxs[1].set_title(\"Normalised Mean Amplitude\")\naxs[1].plot(*AC_amplitude, label=\"AC\"), axs[1].plot(*CC_amplitude, label=\"CC\")\naxs[1].set_ylabel(\"Amplitude (cm)\"), axs[1].grid(), axs[1].legend()\n_ = axs[1].set_xlim(0, 1), axs[1].set_ylim(0, None)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/share/nrt_global_allsat_phy_l4_20190223_20190226.nc b/share/nrt_global_allsat_phy_l4_20190223_20190226.nc
new file mode 120000
index 00000000..077ce7e6
--- /dev/null
+++ b/share/nrt_global_allsat_phy_l4_20190223_20190226.nc
@@ -0,0 +1 @@
+../src/py_eddy_tracker/data/nrt_global_allsat_phy_l4_20190223_20190226.nc
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 53af9f30..6cd18d16 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -575,7 +575,7 @@ def numbering_segment(self, start=0):
         New numbering of segment
         """
         for i, _, _ in self.iter_on("track"):
-            new_numbering(self.segment[i])
+            new_numbering(self.segment[i], start)
 
     def numbering_network(self, start=1):
         """

From 415931732bc9d1f72bef58ec6cda1c2457ece562 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 31 Mar 2021 13:39:03 +0200
Subject: [PATCH 329/441] Add minigallery for interp_grid

---
 examples/10_tracking_diagnostics/pet_normalised_lifetime.py   | 4 ++--
 .../10_tracking_diagnostics/pet_normalised_lifetime.ipynb     | 2 +-
 src/py_eddy_tracker/observations/observation.py               | 2 ++
 3 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/examples/10_tracking_diagnostics/pet_normalised_lifetime.py b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
index 372b66c0..73e5274e 100644
--- a/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
@@ -52,8 +52,8 @@ def eddy_norm_lifetime(self, name, nb, factor=1):
 nb_max_c = c.nb_obs_by_track.max()
 
 # %%
-# Compute normalize lifetime
-# --------------------------
+# Compute normalised lifetime
+# ---------------------------
 
 # Radius
 AC_radius = a.eddy_norm_lifetime("speed_radius", nb=nb_max_a, factor=1e-3)
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
index 6c98a1cf..867e081f 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Compute normalize lifetime\n\n"
+        "## Compute normalised lifetime\n\n"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 73df5734..839dbca1 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2220,6 +2220,8 @@ def interp_grid(
         :param str method: 'center', 'mean', 'max', 'min', 'nearest'
         :param str dtype: if None we use var dtype
         :param bool intern: Use extern or intern contour
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.interp_grid
         """
         if method in ("center", "nearest"):
             return grid_object.interp(varname, self.longitude, self.latitude, method)

From e5bbf954bc4b6adb3d56331dbbcbb89fa7f2653f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 31 Mar 2021 16:24:08 +0200
Subject: [PATCH 330/441] optimisation function relatives

---
 src/py_eddy_tracker/observations/network.py | 79 +++++++++++++++------
 1 file changed, 59 insertions(+), 20 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 6cd18d16..7a57bbca 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -311,7 +311,7 @@ def sort(self, order=("track", "segment", "time")):
         """
         sort observations
 
-        :param tuple order: order or sorting. Passed to `np.argsort`
+        :param tuple order: order or sorting. Passed to :func:`numpy.argsort`
         """
 
         index_order = self.obs.argsort(order=order)
@@ -485,39 +485,78 @@ def segment_relative_order(self, seg_origine):
             d[i0:i1] = v
         return d
 
-    def relative(self, i_obs, order=2, direct=True, only_past=False, only_future=False):
+    def relatives(self, obs, order=2):
         """
-        Extract the segments at a certain order from one observation.
+        Extract the segments at a certain order from multiple observations.
 
-        :param list obs: indice of observation for relative computation
+        :param iterable,int obs: indices of observation for relatives computation. Can be one observation (int) or collection of observations (iterable(int))
         :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
 
         :return: all segments relatives
         :rtype: EddiesObservations
         """
+        segment = self.segment_track_array
+        previous_obs, next_obs = self.previous_obs, self.next_obs
 
-        d = self.segment_relative_order(self.segment[i_obs])
-        m = (d <= order) * (d != -1)
-        return self.extract_with_mask(m)
+        segments_connexion = dict()
 
-    def relatives(self, obs, order=2, direct=True, only_past=False, only_future=False):
-        """
-        Extract the segments at a certain order from multiple observations.
+        for i_slice, seg, _ in self.iter_on(segment):
+            if i_slice.start == i_slice.stop:
+                continue
 
-        :param list obs: indices of observation for relatives computation
-        :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
+            i_p, i_n = previous_obs[i_slice.start], next_obs[i_slice.stop - 1]
+            p_seg, n_seg = segment[i_p], segment[i_n]
 
-        :return: all segments relatives
-        :rtype: EddiesObservations
-        """
+            # dumping slice into dict
+            if seg not in segments_connexion:
+                segments_connexion[seg] = [i_slice, []]
+            else:
+                segments_connexion[seg][0] = i_slice
 
-        mask = zeros(self.segment.shape, dtype=bool)
 
-        for i_obs in obs:
-            d = self.segment_relative_order(self.segment[i_obs])
-            mask += (d <= order) * (d != -1)
+            if i_p != -1:
 
-        return self.extract_with_mask(mask)
+                if p_seg not in segments_connexion:
+                    segments_connexion[p_seg] = [None, []]
+
+                # backward
+                segments_connexion[seg][1].append(p_seg)
+                segments_connexion[p_seg][1].append(seg)
+
+            if i_n != -1:
+                if n_seg not in segments_connexion:
+                    segments_connexion[n_seg] = [None, []]
+
+                # forward
+                segments_connexion[seg][1].append(n_seg)
+                segments_connexion[n_seg][1].append(seg)
+
+
+        i_obs = (
+            [obs]
+            if not hasattr(obs, "__iter__")
+            else obs
+        )
+        import numpy as np
+
+        distance = zeros(segment.size, dtype=np.uint16) - 1
+
+        def loop(seg, dist=1):
+            i_slice, links = segments_connexion[seg]
+            d = distance[i_slice.start]
+
+            if dist < d and dist <= order:
+                distance[i_slice] = dist
+                for _seg in links:
+                    loop(_seg, dist + 1)
+
+        for indice in i_obs:
+            loop(segment[indice], 0)
+
+        return self.extract_with_mask(distance <= order)
+
+    # keep old names, for backward compatibility
+    relative = relatives
 
     def close_network(self, other, nb_obs_min=10, **kwargs):
         """

From 74e9536003c7760732760f170b869cfd1268e717 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 31 Mar 2021 16:25:26 +0200
Subject: [PATCH 331/441] optimisation poly_indexs and bug correction with
 np.nan casting

---
 src/py_eddy_tracker/observations/observation.py | 5 ++++-
 src/py_eddy_tracker/poly.py                     | 4 ++--
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 839dbca1..f3e0ee75 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2050,7 +2050,10 @@ def contains(self, x, y, intern=False):
         :rtype: array[int32]
         """
         xname, yname = self.intern(intern)
-        return poly_indexs(x, y, self[xname], self[yname])
+        m = ~ (isnan(x) + isnan(y))
+        i = -ones(x.shape, dtype='i4')
+        i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
+        return i
 
     def inside(self, x, y, intern=False):
         """
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 2bf34509..864607ff 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -815,7 +815,7 @@ def box_indexes(x, y, step):
 
 
 @njit(cache=True)
-def poly_indexs_(x_p, y_p, x_c, y_c):
+def poly_indexs(x_p, y_p, x_c, y_c):
     """
     Index of contour for each postion inside a contour, -1 in case of no contour
 
@@ -874,7 +874,7 @@ def poly_indexs_(x_p, y_p, x_c, y_c):
 
 
 @njit(cache=True)
-def poly_indexs(x_p, y_p, x_c, y_c):
+def poly_indexs_old(x_p, y_p, x_c, y_c):
     """
     index of contour for each postion inside a contour, -1 in case of no contour
 

From 64efe1b2fd802981be7806791806240d4b8424e0 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 31 Mar 2021 22:38:22 +0200
Subject: [PATCH 332/441] Add some mini gallery

---
 src/py_eddy_tracker/observations/observation.py | 4 ++++
 src/py_eddy_tracker/poly.py                     | 1 -
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f3e0ee75..0d0f45b7 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -553,6 +553,8 @@ def iter_on(self, xname, bins=None):
         :param str,array xname:
         :param array bins: bounds of each bin ,
         :return: index or mask, bound low, bound up
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.iter_on
         """
         x = self[xname] if isinstance(xname, str) else xname
         d = x[1:] - x[:-1]
@@ -593,6 +595,8 @@ def iter_on(self, xname, bins=None):
     def align_on(self, other, var_name="time", **kwargs):
         """
         Align the time indexes of two datasets.
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.align_on
         """
         iter_self = self.iter_on(var_name, **kwargs)
         iter_other = other.iter_on(var_name, **kwargs)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 864607ff..ad8fc148 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -536,7 +536,6 @@ def fit_ellips(x, y):
     https://en.wikipedia.org/wiki/Ellipse
 
     """
-    # x,y = x[1:],y[1:]
     nb = x.shape[0]
     datas = ones((nb, 5), dtype=x.dtype)
     datas[:, 0] = x ** 2

From d81604d8bbedd833cf4a108028ea02033c6c9779 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Thu, 1 Apr 2021 17:02:01 +0200
Subject: [PATCH 333/441] - add ellipse fit - minor english modifs

---
 examples/16_network/pet_ioannou_2017_case.py | 44 ++++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py          | 13 ++++--
 src/py_eddy_tracker/eddy_feature.py          | 26 ++++++------
 src/py_eddy_tracker/poly.py                  | 10 ++---
 4 files changed, 72 insertions(+), 21 deletions(-)

diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 7669b010..54f124f7 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -188,3 +188,47 @@ def update_axes(ax, mappable=None):
 m = close_to_i3.scatter_timeline(ax, "shape_error_e", vmin=14, vmax=70, **kw)
 cb = update_axes(ax, m["scatter"])
 cb.set_label("Effective shape error")
+
+# %%
+# Rotation angle
+# --------------
+from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
+from py_eddy_tracker.poly import fit_ellips
+theta_ = list()
+a_ = list()
+b_ = list()
+for obs in close_to_i3:
+    x, y = obs['contour_lon_s'], obs['contour_lat_s']
+    x0_, y0_ = x.mean(), y.mean()
+    x_, y_ = coordinates_to_local(x, y, x0_, y0_)
+    x0, y0, a, b, theta = fit_ellips(x_, y_)
+    theta_.append(theta)
+    a_.append(a)
+    b_.append(b)
+a_=array(a_)
+b_=array(b_)
+
+# %%
+# Theta
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, theta_, vmin=-pi/2, vmax=pi/2, cmap='hsv')
+cb = update_axes(ax, m["scatter"])
+
+# %%
+# A
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, a_ * 1e-3, vmin=0, vmax=80, cmap='Spectral_r')
+cb = update_axes(ax, m["scatter"])
+
+# %%
+# B
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, b_ * 1e-3, vmin=0, vmax=80, cmap='Spectral_r')
+cb = update_axes(ax, m["scatter"])
+
+# %%
+# A/B
+ax = timeline_axes()
+m = close_to_i3.scatter_timeline(ax, a_/b_, vmin=1, vmax=2, cmap='Spectral_r')
+cb = update_axes(ax, m["scatter"])
+
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 6a4624dd..28dc8330 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -609,17 +609,17 @@ def eddy_identification(
         :param str vname: Grid name of v speed component
         :param datetime.datetime date: Date which will be stored in object to date data
         :param float,int step: Height between two layers in m
-        :param float,int shape_error: Maximal error allowed for outter contour in %
+        :param float,int shape_error: Maximal error allowed for outermost contour in %
         :param int sampling: Number of points to store contours and speed profile
         :param str sampling_method: Method to resample 'uniform' or 'visvalingam'
         :param (int,int),None pixel_limit:
-            Min and max number of pixels inside the inner and the outer contour to be considered as an eddy
+            Min and max number of pixels inside the inner and the outermost contour to be considered as an eddy
         :param float,None precision: Truncate values at the defined precision in m
         :param str force_height_unit: Unit used for height unit
         :param str force_speed_unit: Unit used for speed unit
         :param dict kwargs: Argument given to amplitude
 
-        :return: Return a list of 2 elements: Anticyclone and Cyclone
+        :return: Return a list of 2 elements: Anticyclones and Cyclones
         :rtype: py_eddy_tracker.observations.observation.EddiesObservations
 
         .. minigallery:: py_eddy_tracker.GridDataset.eddy_identification
@@ -729,7 +729,8 @@ def eddy_identification(
                 for contour in contour_paths:
                     if contour.used:
                         continue
-                    # FIXME : center could be not in contour and fit on raw sampling
+                    # FIXME : center could be outside the contour due to the fit
+                    # FIXME : warning : the fit is made on raw sampling
                     _, _, _, aerr = contour.fit_circle()
 
                     # Filter for shape
@@ -752,6 +753,7 @@ def eddy_identification(
                     ):
                         continue
 
+                    # Test the number of pixels within the outermost contour
                     # FIXME : Maybe limit max must be replace with a maximum of surface
                     if (
                         contour.nb_pixel < pixel_limit[0]
@@ -760,6 +762,9 @@ def eddy_identification(
                         contour.reject = 3
                         continue
 
+                    # Here the considered contour passed shape_error test, masked_pixels test,
+                    # values strictly above (AEs) or below (CEs) the contour, number_pixels test)
+
                     # Compute amplitude
                     reset_centroid, amp = self.get_amplitude(
                         contour,
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 3e6c86ea..037beb35 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -31,7 +31,7 @@
 class Amplitude(object):
     """
     Class to calculate *amplitude* and counts of *local maxima/minima*
-    within a closed region of a sea level anomaly field.
+    within a closed region of a sea surface height field.
     """
 
     EPSILON = 1e-8
@@ -66,8 +66,8 @@ def __init__(
         :param array data:
         :param float interval:
         :param int mle: maximum number of local maxima in contour
-        :param int nb_step_min: number of interval to consider like an eddy
-        :param int nb_step_to_be_mle: number of interval to be consider like another maxima
+        :param int nb_step_min: number of intervals to consider an eddy
+        :param int nb_step_to_be_mle: number of intervals to be considered as an another maxima
         """
 
         # Height of the contour
@@ -102,8 +102,9 @@ def __init__(
         self.nb_pixel = i_x.shape[0]
 
         # Only pixel in contour
+        # FIXME : change sla by ssh as the grid can be adt?
         self.sla = data[contour.pixels_index]
-        # Amplitude which will be provide
+        # Amplitude which will be provided
         self.amplitude = 0
         # Maximum local extrema accepted
         self.mle = mle
@@ -115,9 +116,10 @@ def within_amplitude_limits(self):
     def all_pixels_below_h0(self, level):
         """
         Check CSS11 criterion 1: The SSH values of all of the pixels
-        are below a given SSH threshold for cyclonic eddies.
+        are below (above) a given SSH threshold for cyclonic (anticyclonic)
+        eddies.
         """
-        # In some case pixel value must be very near of contour bounds
+        # In some cases pixel value may be very close to the contour bounds
         if self.sla.mask.any() or ((self.sla.data - self.h_0) > self.EPSILON).any():
             return False
         else:
@@ -293,10 +295,10 @@ class Contours(object):
 
     Attributes:
       contour:
-        A matplotlib contour object of high-pass filtered SLA
+        A matplotlib contour object of high-pass filtered SSH
 
       eddy:
-        A tracklist object holding the SLA data
+        A tracklist object holding the SSH data
 
       grd:
         A grid object
@@ -406,7 +408,7 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         fig = Figure()
         ax = fig.add_subplot(111)
         if wrap_x:
-            logger.debug("wrapping activate to compute contour")
+            logger.debug("wrapping activated to compute contour")
             x = concatenate((x, x[:1] + 360))
             z = ma.concatenate((z, z[:1]))
         logger.debug("X shape : %s", x.shape)
@@ -602,8 +604,8 @@ def display(
             Must be 'shape_error', 'x', 'y' or 'radius'.
             If define display_criterion is not use.
             bins argument must be define
-        :param array bins: bins use to colorize contour
-        :param str cmap: Name of cmap to use for field display
+        :param array bins: bins used to colorize contour
+        :param str cmap: Name of cmap for field display
         :param dict kwargs: look at :py:meth:`matplotlib.collections.LineCollection`
 
         .. minigallery:: py_eddy_tracker.Contours.display
@@ -688,7 +690,7 @@ def display(
             ax.autoscale_view()
 
     def label_contour_unused_which_contain_eddies(self, eddies):
-        """Select contour which contain several eddies"""
+        """Select contour containing several eddies"""
         if eddies.sign_type == 1:
             # anticyclonic
             sl = slice(None, -1)
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index ad8fc148..af621423 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -474,13 +474,13 @@ def polygon_overlap(p0, p1, minimal_area=False):
     return cost
 
 
-# FIXME: only one function are needed
+# FIXME: only one function is needed
 @njit(cache=True)
 def fit_circle(x, y):
     """
     From a polygon, function will fit a circle.
 
-    Must be call with local coordinates (in m, to get a radius in m).
+    Must be called with local coordinates (in m, to get a radius in m).
 
     :param array x: x of polygon
     :param array y: y of polygon
@@ -510,11 +510,11 @@ def fit_circle(x, y):
     radius **= 0.5
     x0 *= scale
     y0 *= scale
-    # radius of fitted circle
+    # radius of fit circle
     radius *= scale
-    # center X-position of fitted circle
+    # center X-position of fit circle
     x0 += x_mean
-    # center Y-position of fitted circle
+    # center Y-position of fit circle
     y0 += y_mean
 
     err = shape_error(x, y, x0, y0, radius)

From 7c8fc736ed1ee37b7f627b14b0ff80565a245293 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Sun, 4 Apr 2021 22:43:35 +0200
Subject: [PATCH 334/441] Add visvalingam test

---
 src/py_eddy_tracker/observations/network.py     | 12 +++---------
 src/py_eddy_tracker/observations/observation.py |  4 ++--
 tests/test_poly.py                              | 16 +++++++++++++++-
 3 files changed, 20 insertions(+), 12 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 7a57bbca..115197de 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -16,6 +16,7 @@
     in1d,
     ones,
     uint32,
+    uint16,
     unique,
     where,
     zeros,
@@ -513,7 +514,6 @@ def relatives(self, obs, order=2):
             else:
                 segments_connexion[seg][0] = i_slice
 
-
             if i_p != -1:
 
                 if p_seg not in segments_connexion:
@@ -531,15 +531,9 @@ def relatives(self, obs, order=2):
                 segments_connexion[seg][1].append(n_seg)
                 segments_connexion[n_seg][1].append(seg)
 
+        i_obs = [obs] if not hasattr(obs, "__iter__") else obs
 
-        i_obs = (
-            [obs]
-            if not hasattr(obs, "__iter__")
-            else obs
-        )
-        import numpy as np
-
-        distance = zeros(segment.size, dtype=np.uint16) - 1
+        distance = zeros(segment.size, dtype=uint16) - 1
 
         def loop(seg, dist=1):
             i_slice, links = segments_connexion[seg]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0d0f45b7..8decca58 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2054,8 +2054,8 @@ def contains(self, x, y, intern=False):
         :rtype: array[int32]
         """
         xname, yname = self.intern(intern)
-        m = ~ (isnan(x) + isnan(y))
-        i = -ones(x.shape, dtype='i4')
+        m = ~(isnan(x) + isnan(y))
+        i = -ones(x.shape, dtype="i4")
         i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
         return i
 
diff --git a/tests/test_poly.py b/tests/test_poly.py
index b2aacb73..1a0edb6f 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -1,7 +1,13 @@
 from numpy import array, pi
 from pytest import approx
 
-from py_eddy_tracker.poly import convex, fit_circle, get_convex_hull, poly_area_vertice
+from py_eddy_tracker.poly import (
+    convex,
+    fit_circle,
+    get_convex_hull,
+    poly_area_vertice,
+    visvalingam,
+)
 
 # Vertices for next test
 V = array(((2, 2, 3, 3, 2), (-10, -9, -9, -10, -10)))
@@ -29,3 +35,11 @@ def test_convex():
 
 def test_convex_hull():
     assert convex(*get_convex_hull(*V_concave)) is True
+
+
+def test_visvalingam():
+    x = array([1, 2, 3, 4, 5, 6.75, 6, 1])
+    y = array([-0.5, -1.5, -1, -1.75, -1, -1, -0.5, -0.5])
+    x_, y_ = visvalingam(x, y, 6)
+    assert ([1, 2, 3, 4, 6, 1] == x_).all()
+    assert ([-0.5, -1.5, -1, -1.75, -0.5, -0.5] == y_).all()

From caff46f62e80fd19bc911cae4eb4f0e51682e2cc Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Sun, 4 Apr 2021 22:47:36 +0200
Subject: [PATCH 335/441] Activate test for all branches

---
 .github/workflows/python-app.yml | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 43fd6b2d..7fc9f385 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -3,11 +3,7 @@
 
 name: Pytest & Flake8
 
-on:
-  push:
-    branches: [ master ]
-  pull_request:
-    branches: [ master ]
+on: [push, pull_request]
 
 jobs:
   build:

From 1d81bc0732b81e945111d7e5cbba5933ef684ada Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 5 Apr 2021 16:46:56 +0200
Subject: [PATCH 336/441] Modify gui import

---
 examples/06_grid_manipulation/pet_advect.py        |  6 +++---
 examples/06_grid_manipulation/pet_lavd.py          |  4 ++--
 examples/07_cube_manipulation/pet_cube.py          |  4 ++--
 .../07_cube_manipulation/pet_lavd_detection.py     |  4 ++--
 examples/16_network/pet_atlas.py                   |  4 ++--
 examples/16_network/pet_ioannou_2017_case.py       |  4 ++--
 examples/16_network/pet_relative.py                | 12 ++++++------
 examples/16_network/pet_replay_segmentation.py     |  4 ++--
 examples/16_network/pet_segmentation_anim.py       |  6 +++---
 .../06_grid_manipulation/pet_advect.ipynb          |  8 ++++----
 .../06_grid_manipulation/pet_lavd.ipynb            |  6 +++---
 .../07_cube_manipulation/pet_cube.ipynb            |  6 +++---
 .../07_cube_manipulation/pet_lavd_detection.ipynb  |  6 +++---
 notebooks/python_module/16_network/pet_atlas.ipynb |  6 +++---
 .../16_network/pet_ioannou_2017_case.ipynb         |  6 +++---
 .../python_module/16_network/pet_relative.ipynb    | 14 +++++++-------
 .../16_network/pet_replay_segmentation.ipynb       |  4 ++--
 .../16_network/pet_segmentation_anim.ipynb         |  8 ++++----
 src/py_eddy_tracker/gui.py                         |  7 +++++--
 19 files changed, 61 insertions(+), 58 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 13052af5..0e00697f 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -10,9 +10,9 @@
 from matplotlib.animation import FuncAnimation
 from numpy import arange, isnan, meshgrid, ones
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.observation import EddiesObservations
 
 # %%
@@ -32,7 +32,7 @@
 # %%
 # Quiver from u/v with eddies
 fig = plt.figure(figsize=(10, 5))
-ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+ax = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)
 ax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()
 x, y = meshgrid(g.x_c, g.y_c)
 a.filled(ax, facecolors="r", alpha=0.1), c.filled(ax, facecolors="b", alpha=0.1)
@@ -82,7 +82,7 @@ def save(self, *args, **kwargs):
 def anim_ax(**kw):
     t = 0
     fig = plt.figure(figsize=(10, 5), dpi=55)
-    axes = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    axes = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)
     axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()
     a.filled(axes, facecolors="r", alpha=0.1), c.filled(axes, facecolors="b", alpha=0.1)
     line = axes.plot([], [], "k", **kw)[0]
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index e0dbbb54..ed21738f 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -24,16 +24,16 @@
 from matplotlib.animation import FuncAnimation
 from numpy import arange, meshgrid, zeros
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import RegularGridDataset
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.observation import EddiesObservations
 
 
 # %%
 def start_ax(title="", dpi=90):
     fig = plt.figure(figsize=(16, 9), dpi=dpi)
-    ax = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    ax = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)
     ax.set_xlim(0, 32), ax.set_ylim(28, 46)
     ax.set_title(title)
     return fig, ax, ax.text(3, 32, "", fontsize=20)
diff --git a/examples/07_cube_manipulation/pet_cube.py b/examples/07_cube_manipulation/pet_cube.py
index 6c0db253..a674359d 100644
--- a/examples/07_cube_manipulation/pet_cube.py
+++ b/examples/07_cube_manipulation/pet_cube.py
@@ -12,10 +12,10 @@
 from matplotlib.animation import FuncAnimation
 from numpy import arange, isnan, meshgrid, ones
 
-import py_eddy_tracker.gui
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection
+from py_eddy_tracker.gui import GUI_AXES
 
 start_logger().setLevel("ERROR")
 
@@ -70,7 +70,7 @@ def save(self, *args, **kwargs):
 # Function
 def anim_ax(**kw):
     fig = plt.figure(figsize=(10, 5), dpi=55)
-    axes = fig.add_axes([0, 0, 1, 1], projection="full_axes")
+    axes = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)
     axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()
     line = axes.plot([], [], "k", **kw)[0]
     return fig, axes.text(21, 32.1, ""), line
diff --git a/examples/07_cube_manipulation/pet_lavd_detection.py b/examples/07_cube_manipulation/pet_lavd_detection.py
index dc3a83ff..1fa4d60b 100644
--- a/examples/07_cube_manipulation/pet_lavd_detection.py
+++ b/examples/07_cube_manipulation/pet_lavd_detection.py
@@ -23,10 +23,10 @@
 from matplotlib import pyplot as plt
 from numpy import arange, isnan, ma, meshgrid, zeros
 
-import py_eddy_tracker.gui
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset
+from py_eddy_tracker.gui import GUI_AXES
 
 start_logger().setLevel("ERROR")
 
@@ -47,7 +47,7 @@ def from_(cls, x, y, z):
 # %%
 def start_ax(title="", dpi=90):
     fig = plt.figure(figsize=(12, 5), dpi=dpi)
-    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection="full_axes")
+    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection=GUI_AXES)
     ax.set_xlim(-6, 36), ax.set_ylim(31, 45)
     ax.set_title(title)
     return fig, ax, ax.text(3, 32, "", fontsize=20)
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 540d312d..7f86790a 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -5,8 +5,8 @@
 from matplotlib import pyplot as plt
 from numpy import ma
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_remote_demo_sample
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 
 n = NetworkObservations.load_file(
@@ -26,7 +26,7 @@
 # Functions
 def start_axes(title):
     fig = plt.figure(figsize=(13, 5))
-    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)
     ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
     ax.set_aspect("equal")
     ax.set_title(title, weight="bold")
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 7669b010..781514fe 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -16,9 +16,9 @@
 from matplotlib.ticker import FuncFormatter
 from numpy import arange, where
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.data import get_demo_path
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 
 
@@ -48,7 +48,7 @@ def formatter(x, pos):
 
 def start_axes(title=""):
     fig = plt.figure(figsize=(13, 6))
-    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)
     ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
     ax.set_aspect("equal")
     ax.set_title(title, weight="bold")
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index 2759edb4..c4989edb 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -5,8 +5,8 @@
 from matplotlib import pyplot as plt
 from numpy import where
 
-import py_eddy_tracker.gui
 from py_eddy_tracker import data
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 
 # %%
@@ -266,7 +266,7 @@
 # %%
 # Only a map can be tricky to understand, with a timeline it's easier!
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)
 n.plot(ax, color_cycle=n.COLORS)
 ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
 ax = fig.add_axes([0.08, 0.7, 0.7, 0.3])
@@ -278,7 +278,7 @@
 # -----------------
 # Display the position of the eddies after a merging
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)
 n.plot(ax, color_cycle=n.COLORS)
 m1, m0, m0_stop = n.merging_event(triplet=True)
 m1.display(ax, color="violet", lw=2, label="Eddies after merging")
@@ -296,7 +296,7 @@
 # ------------------
 # Display the position of the eddies before a splitting
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)
 n.plot(ax, color_cycle=n.COLORS)
 s0, s1, s1_start = n.spliting_event(triplet=True)
 s0.display(ax, color="violet", lw=2, label="Eddies before splitting")
@@ -314,7 +314,7 @@
 # ---------------
 # Display the starting position of non-splitted eddies
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)
 birth = n.birth_event()
 birth.display(ax)
 ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
@@ -325,7 +325,7 @@
 # ---------------
 # Display the last position of non-merged eddies
 fig = plt.figure(figsize=(15, 8))
-ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)
 death = n.death_event()
 death.display(ax)
 ax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index c33028fc..757854d5 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -11,8 +11,8 @@
 from matplotlib.ticker import FuncFormatter
 from numpy import where
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_demo_path
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -24,7 +24,7 @@ def formatter(x, pos):
 
 def start_axes(title=""):
     fig = plt.figure(figsize=(13, 6))
-    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection="full_axes")
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)
     ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)
     ax.set_aspect("equal")
     ax.set_title(title, weight="bold")
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index b2757809..340163a1 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -10,8 +10,8 @@
 from matplotlib.colors import ListedColormap
 from numpy import ones, where
 
-import py_eddy_tracker.gui
 from py_eddy_tracker.data import get_demo_path
+from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -104,7 +104,7 @@ def update(i_frame):
 
 
 fig = plt.figure(figsize=(16, 9), dpi=60)
-ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)
 ax.set_title(f"{len(e)} observations to segment")
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
 vmax = TRACKS[-1].max()
@@ -121,6 +121,6 @@ def update(i_frame):
 # Final Result
 # ------------
 fig = plt.figure(figsize=(16, 9))
-ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
+ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()
 _ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 53725a05..b660df52 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(10, 5))\nax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\nax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\nx, y = meshgrid(g.x_c, g.y_c)\na.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n_ = ax.quiver(x.T, y.T, g.grid(\"u\"), g.grid(\"v\"), scale=20)"
+        "fig = plt.figure(figsize=(10, 5))\nax = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)\nax.set_xlim(19, 30), ax.set_ylim(31, 36.5), ax.grid()\nx, y = meshgrid(g.x_c, g.y_c)\na.filled(ax, facecolors=\"r\", alpha=0.1), c.filled(ax, facecolors=\"b\", alpha=0.1)\n_ = ax.quiver(x.T, y.T, g.grid(\"u\"), g.grid(\"v\"), scale=20)"
       ]
     },
     {
@@ -145,7 +145,7 @@
       },
       "outputs": [],
       "source": [
-        "def anim_ax(**kw):\n    t = 0\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    a.filled(axes, facecolors=\"r\", alpha=0.1), c.filled(axes, facecolors=\"b\", alpha=0.1)\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
+        "def anim_ax(**kw):\n    t = 0\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    a.filled(axes, facecolors=\"r\", alpha=0.1), c.filled(axes, facecolors=\"b\", alpha=0.1)\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line, t\n\n\ndef update(i_frame, t_step):\n    global t\n    x, y = p.__next__()\n    t += t_step\n    l.set_data(x, y)\n    txt.set_text(f\"T0 + {t:.1f} days\")"
       ]
     },
     {
@@ -262,7 +262,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 6cef91bc..67983cec 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, zeros\n\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import RegularGridDataset\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n        return cb\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(16, 9), dpi=dpi)\n    ax = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)\n    ax.set_xlim(0, 32), ax.set_ylim(28, 46)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"Vorticity integration along trajectory at initial position\")\n        return cb\n\n\nkw_vorticity = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
       ]
     },
     {
@@ -201,7 +201,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
index 63cd36dc..a8ed7f1b 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, isnan, meshgrid, ones\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.gui import GUI_AXES\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "def anim_ax(**kw):\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=\"full_axes\")\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line\n\n\ndef update(_):\n    tt, xt, yt = f.__next__()\n    mappable.set_data(xt, yt)\n    d = timedelta(tt / 86400.0) + datetime(1950, 1, 1)\n    txt.set_text(f\"{d:%Y/%m/%d-%H}\")"
+        "def anim_ax(**kw):\n    fig = plt.figure(figsize=(10, 5), dpi=55)\n    axes = fig.add_axes([0, 0, 1, 1], projection=GUI_AXES)\n    axes.set_xlim(19, 30), axes.set_ylim(31, 36.5), axes.grid()\n    line = axes.plot([], [], \"k\", **kw)[0]\n    return fig, axes.text(21, 32.1, \"\"), line\n\n\ndef update(_):\n    tt, xt, yt = f.__next__()\n    mappable.set_data(xt, yt)\n    d = timedelta(tt / 86400.0) + datetime(1950, 1, 1)\n    txt.set_text(f\"{d:%Y/%m/%d-%H}\")"
       ]
     },
     {
@@ -158,7 +158,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
index e123abe4..f4e5f77e 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, isnan, ma, meshgrid, zeros\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+        "from datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, isnan, ma, meshgrid, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\nfrom py_eddy_tracker.gui import GUI_AXES\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -48,7 +48,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(12, 5), dpi=dpi)\n    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection=\"full_axes\")\n    ax.set_xlim(-6, 36), ax.set_ylim(31, 45)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"LAVD at initial position\")\n        return cb\n\n\nkw_lavd = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
+        "def start_ax(title=\"\", dpi=90):\n    fig = plt.figure(figsize=(12, 5), dpi=dpi)\n    ax = fig.add_axes([0.05, 0.08, 0.9, 0.9], projection=GUI_AXES)\n    ax.set_xlim(-6, 36), ax.set_ylim(31, 45)\n    ax.set_title(title)\n    return fig, ax, ax.text(3, 32, \"\", fontsize=20)\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        cb = plt.colorbar(\n            mappable,\n            cax=ax.figure.add_axes([0.05, 0.1, 0.9, 0.01]),\n            orientation=\"horizontal\",\n        )\n        cb.set_label(\"LAVD at initial position\")\n        return cb\n\n\nkw_lavd = dict(vmin=0, vmax=2e-5, cmap=\"viridis\")"
       ]
     },
     {
@@ -194,7 +194,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_atlas.ipynb b/notebooks/python_module/16_network/pet_atlas.ipynb
index 514317a6..ee8f1934 100644
--- a/notebooks/python_module/16_network/pet_atlas.ipynb
+++ b/notebooks/python_module/16_network/pet_atlas.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numpy import ma\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nn = NetworkObservations.load_file(\n    get_remote_demo_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)"
+        "from matplotlib import pyplot as plt\nfrom numpy import ma\n\nfrom py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nn = NetworkObservations.load_file(\n    get_remote_demo_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)"
       ]
     },
     {
@@ -62,7 +62,7 @@
       },
       "outputs": [],
       "source": [
-        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -363,7 +363,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index e803df5f..743b753f 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -248,7 +248,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_relative.ipynb b/notebooks/python_module/16_network/pet_relative.ipynb
index 23537375..cee4010a 100644
--- a/notebooks/python_module/16_network/pet_relative.ipynb
+++ b/notebooks/python_module/16_network/pet_relative.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "from matplotlib import pyplot as plt\nfrom numpy import where\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations"
       ]
     },
     {
@@ -447,7 +447,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nax = fig.add_axes([0.08, 0.7, 0.7, 0.3])\n_ = n.display_timeline(ax)"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)\nn.plot(ax, color_cycle=n.COLORS)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nax = fig.add_axes([0.08, 0.7, 0.7, 0.3])\n_ = n.display_timeline(ax)"
       ]
     },
     {
@@ -465,7 +465,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\nm1, m0, m0_stop = n.merging_event(triplet=True)\nm1.display(ax, color=\"violet\", lw=2, label=\"Eddies after merging\")\nm0.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies before merging\")\nm0_stop.display(ax, color=\"black\", lw=2, label=\"Eddies stopped by merging\")\nax.plot(m1.lon, m1.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(m0.lon, m0.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(m0_stop.lon, m0_stop.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nm1"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)\nn.plot(ax, color_cycle=n.COLORS)\nm1, m0, m0_stop = n.merging_event(triplet=True)\nm1.display(ax, color=\"violet\", lw=2, label=\"Eddies after merging\")\nm0.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies before merging\")\nm0_stop.display(ax, color=\"black\", lw=2, label=\"Eddies stopped by merging\")\nax.plot(m1.lon, m1.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(m0.lon, m0.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(m0_stop.lon, m0_stop.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nm1"
       ]
     },
     {
@@ -483,7 +483,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nn.plot(ax, color_cycle=n.COLORS)\ns0, s1, s1_start = n.spliting_event(triplet=True)\ns0.display(ax, color=\"violet\", lw=2, label=\"Eddies before splitting\")\ns1.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies after splitting\")\ns1_start.display(ax, color=\"black\", lw=2, label=\"Eddies starting by splitting\")\nax.plot(s0.lon, s0.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(s1.lon, s1.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(s1_start.lon, s1_start.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ns1"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)\nn.plot(ax, color_cycle=n.COLORS)\ns0, s1, s1_start = n.spliting_event(triplet=True)\ns0.display(ax, color=\"violet\", lw=2, label=\"Eddies before splitting\")\ns1.display(ax, color=\"blueviolet\", lw=2, label=\"Eddies after splitting\")\ns1_start.display(ax, color=\"black\", lw=2, label=\"Eddies starting by splitting\")\nax.plot(s0.lon, s0.lat, marker=\".\", color=\"purple\", ls=\"\")\nax.plot(s1.lon, s1.lat, marker=\".\", color=\"blueviolet\", ls=\"\")\nax.plot(s1_start.lon, s1_start.lat, marker=\".\", color=\"black\", ls=\"\")\nax.legend()\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ns1"
       ]
     },
     {
@@ -501,7 +501,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\nbirth = n.birth_event()\nbirth.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nbirth"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)\nbirth = n.birth_event()\nbirth.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\nbirth"
       ]
     },
     {
@@ -519,7 +519,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=\"full_axes\")\ndeath = n.death_event()\ndeath.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ndeath"
+        "fig = plt.figure(figsize=(15, 8))\nax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)\ndeath = n.death_event()\ndeath.display(ax)\nax.set_xlim(17.5, 27.5), ax.set_ylim(31, 36), ax.grid()\ndeath"
       ]
     }
   ],
@@ -539,7 +539,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
index 7acb3f51..48f4955b 100644
--- a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
+++ b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=\"full_axes\")\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "from datetime import datetime, timedelta\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import where\n\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.04, 0.06, 0.89, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 18da8478..ae36381c 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nimport py_eddy_tracker.gui\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "# sphinx_gallery_thumbnail_number = 2\nimport re\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numpy import ones, where\n\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -109,7 +109,7 @@
       },
       "outputs": [],
       "source": [
-        "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames],\n        e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
+        "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames],\n        e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
+        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
       ]
     }
   ],
@@ -147,7 +147,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 423ff306..1fe236dd 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -26,12 +26,15 @@ def __init__(self, *args, **kwargs):
             self.set_aspect("equal")
 
 
+GUI_AXES = "full_axes"
+
+
 class GUIAxes(PlatCarreAxes):
     """
     Axes which will use full space available
     """
 
-    name = "full_axes"
+    name = GUI_AXES
 
     def end_pan(self, *args, **kwargs):
         (x0, x1), (y0, y1) = self.get_xlim(), self.get_ylim()
@@ -125,7 +128,7 @@ def med(self):
     def setup(self):
         self.figure = plt.figure()
         # map
-        self.map = self.figure.add_axes((0, 0.25, 1, 0.75), projection="full_axes")
+        self.map = self.figure.add_axes((0, 0.25, 1, 0.75), projection=GUI_AXES)
         self.map.grid()
         self.map.tick_params("both", pad=-22)
         # self.map.tick_params("y", pad=-22)

From 8de7284c08dbb6c4c425b40cb9b2e2d2f4dcdf0c Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 5 Apr 2021 16:47:34 +0200
Subject: [PATCH 337/441] Clean requirements

---
 requirements.txt     |  2 --
 requirements_dev.txt |  7 +++++++
 requirements_doc.txt | 16 ----------------
 3 files changed, 7 insertions(+), 18 deletions(-)
 create mode 100644 requirements_dev.txt
 delete mode 100644 requirements_doc.txt

diff --git a/requirements.txt b/requirements.txt
index eae54426..9539c555 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,5 +9,3 @@ pyyaml
 requests
 scipy
 zarr
-# for binder
-pyeddytrackersample
\ No newline at end of file
diff --git a/requirements_dev.txt b/requirements_dev.txt
new file mode 100644
index 00000000..a005c37d
--- /dev/null
+++ b/requirements_dev.txt
@@ -0,0 +1,7 @@
+-r requirements.txt
+isort
+black
+blackdoc
+flake8
+pytest
+pytest-cov
\ No newline at end of file
diff --git a/requirements_doc.txt b/requirements_doc.txt
deleted file mode 100644
index 0d926b32..00000000
--- a/requirements_doc.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-matplotlib
-netCDF4
-numba
-numpy
-opencv-python
-pint
-polygon3
-pyyaml
-requests
-scipy
-zarr
-# doc
-sphinx-gallery
-pyeddytrackersample
-sphinx_rtd_theme
-sphinx>=3.1

From 872f65ad7a0bec68848d3d7dbff4567c9141e7f8 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 5 Apr 2021 16:47:59 +0200
Subject: [PATCH 338/441] Add test for visvlingam

---
 tests/test_poly.py | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/tests/test_poly.py b/tests/test_poly.py
index 1a0edb6f..cca53635 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -1,4 +1,4 @@
-from numpy import array, pi
+from numpy import array, pi, roll
 from pytest import approx
 
 from py_eddy_tracker.poly import (
@@ -40,6 +40,14 @@ def test_convex_hull():
 def test_visvalingam():
     x = array([1, 2, 3, 4, 5, 6.75, 6, 1])
     y = array([-0.5, -1.5, -1, -1.75, -1, -1, -0.5, -0.5])
+    x_target = [1, 2, 3, 4, 6, 1]
+    y_target = [-0.5, -1.5, -1, -1.75, -0.5, -0.5]
     x_, y_ = visvalingam(x, y, 6)
-    assert ([1, 2, 3, 4, 6, 1] == x_).all()
-    assert ([-0.5, -1.5, -1, -1.75, -0.5, -0.5] == y_).all()
+    assert (x_target == x_).all()
+    assert (y_target == y_).all()
+    x_, y_ = visvalingam(x[:-1], y[:-1], 6)
+    assert (x_target == x_).all()
+    assert (y_target == y_).all()
+    x_, y_ = visvalingam(roll(x, 2), roll(y, 2), 6)
+    assert (x_target[:-1] == x_[1:]).all()
+    assert (y_target[:-1] == y_[1:]).all()

From 5ffc05adb3a160b939af4b24fda9436b19f69b99 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 5 Apr 2021 23:44:44 +0200
Subject: [PATCH 339/441] Add documentation about visvalingam and a correction
 about point removed

---
 src/py_eddy_tracker/observations/network.py |   7 +-
 src/py_eddy_tracker/poly.py                 | 105 +++++++++++---------
 2 files changed, 60 insertions(+), 52 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 115197de..0758d940 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -15,8 +15,8 @@
     empty,
     in1d,
     ones,
-    uint32,
     uint16,
+    uint32,
     unique,
     where,
     zeros,
@@ -490,7 +490,9 @@ def relatives(self, obs, order=2):
         """
         Extract the segments at a certain order from multiple observations.
 
-        :param iterable,int obs: indices of observation for relatives computation. Can be one observation (int) or collection of observations (iterable(int))
+        :param iterable,int obs:
+            indices of observation for relatives computation. Can be one observation (int)
+            or collection of observations (iterable(int))
         :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
 
         :return: all segments relatives
@@ -532,7 +534,6 @@ def relatives(self, obs, order=2):
                 segments_connexion[n_seg][1].append(seg)
 
         i_obs = [obs] if not hasattr(obs, "__iter__") else obs
-
         distance = zeros(segment.size, dtype=uint16) - 1
 
         def loop(seg, dist=1):
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index ad8fc148..1d40cc84 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -716,50 +716,85 @@ def tri_area2(x, y, i0, i1, i2):
 def visvalingam(x, y, fixed_size=18):
     """Polygon simplification with visvalingam algorithm
 
+    X, Y are considered like a polygon, the next point after the last one is the first one
     :param array x:
     :param array y:
     :param int fixed_size: array size of out
-    :return: New (x, y) array
+    :return:
+        New (x, y) array, last position will be equal to first one, if array size is 6,
+        there is only 5 point.
     :rtype: array,array
+
+    .. plot::
+
+        import matplotlib.pyplot as plt
+        import numpy as np
+        from py_eddy_tracker.poly import visvalingam
+
+        x = np.array([1, 2, 3, 4, 5, 6.75, 6, 1])
+        y = np.array([-0.5, -1.5, -1, -1.75, -1, -1, -0.5, -0.5])
+        ax = plt.subplot(111)
+        ax.set_aspect("equal")
+        ax.grid(True), ax.set_ylim(-2, -.2)
+        ax.plot(x, y, "r",  lw=5)
+        ax.plot(*visvalingam(x,y,6), "b", lw=2)
+        plt.show()
     """
+    # TODO :  in case of original size lesser than fixed size, jump at the end
     nb = x.shape[0]
-    i0, i1 = nb - 3, nb - 2
+    nb_ori = nb
+    # Get indice of first triangle
+    i0, i1 = nb - 2, nb - 1
+    # Init heap with first area and tiangle
     h = [(tri_area2(x, y, i0, i1, 0), (i0, i1, 0))]
+    # Roll index for next one
     i0 = i1
     i1 = 0
-    i_previous = empty(nb - 1, dtype=numba_types.int32)
-    i_next = empty(nb - 1, dtype=numba_types.int32)
+    # Index of previous valid point
+    i_previous = empty(nb, dtype=numba_types.int64)
+    # Index of next valid point
+    i_next = empty(nb, dtype=numba_types.int64)
+    # Mask of removed
+    removed = zeros(nb, dtype=numba_types.bool_)
     i_previous[0] = -1
     i_next[0] = -1
-    for i in range(1, nb - 1):
+    for i in range(1, nb):
         i_previous[i] = -1
         i_next[i] = -1
+        # We add triangle area for all triangle
         heapq.heappush(h, (tri_area2(x, y, i0, i1, i), (i0, i1, i)))
         i0 = i1
         i1 = i
     # we continue until we are equal to nb_pt
-    while len(h) >= fixed_size:
+    while nb >= fixed_size:
         # We pop lower area
         _, (i0, i1, i2) = heapq.heappop(h)
         # We check if triangle is valid(i0 or i2 not removed)
-        i_p, i_n = i_previous[i0], i_next[i2]
-        if i_p == -1 and i_n == -1:
-            # We store reference of delete point
-            i_previous[i1] = i0
-            i_next[i1] = i2
+        if removed[i0] or removed[i2]:
+            # In this cas nothing to do
             continue
-        elif i_p == -1:
-            i2 = i_n
-        elif i_n == -1:
-            i0 = i_p
-        else:
-            # in this case we replace two point
-            i0, i2 = i_p, i_n
-        heapq.heappush(h, (tri_area2(x, y, i0, i1, i2), (i0, i1, i2)))
+        # Flag obs like removed
+        removed[i1] = True
+        # We count point still valid
+        nb -= 1
+        # Modify index for the next and previous, we jump over i1
+        i_previous[i2] = i0
+        i_next[i0] = i2
+        # We insert 2 triangles which are modified by the deleted point
+        # Previous triangle
+        i_1 = i_previous[i0]
+        if i_1 == -1:
+            i_1 = (i0 - 1) % nb_ori
+        heapq.heappush(h, (tri_area2(x, y, i_1, i0, i2), (i_1, i0, i2)))
+        # Previous triangle
+        i3 = i_next[i2]
+        if i3 == -1:
+            i3 = (i2 + 1) % nb_ori
+        heapq.heappush(h, (tri_area2(x, y, i0, i2, i3), (i0, i2, i3)))
     x_new, y_new = empty(fixed_size, dtype=x.dtype), empty(fixed_size, dtype=y.dtype)
     j = 0
-    for i, i_n in enumerate(i_next):
-        if i_n == -1:
+    for i, flag in enumerate(removed):
+        if not flag:
             x_new[j] = x[i]
             y_new[j] = y[i]
             j += 1
@@ -872,34 +907,6 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     return indexs
 
 
-@njit(cache=True)
-def poly_indexs_old(x_p, y_p, x_c, y_c):
-    """
-    index of contour for each postion inside a contour, -1 in case of no contour
-
-    :param array x_p: longitude to test
-    :param array y_p: latitude to test
-    :param array x_c: longitude of contours
-    :param array y_c: latitude of contours
-    """
-    nb_p = x_p.shape[0]
-    nb_c = x_c.shape[0]
-    indexs = -ones(nb_p, dtype=numba_types.int32)
-    for i in range(nb_c):
-        x_, y_ = reduce_size(x_c[i], y_c[i])
-        x_c_min, y_c_min = x_.min(), y_.min()
-        x_c_max, y_c_max = x_.max(), y_.max()
-        v = create_vertice(x_, y_)
-        for j in range(nb_p):
-            if indexs[j] != -1:
-                continue
-            x, y = x_p[j], y_p[j]
-            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
-                if winding_number_poly(x, y, v) != 0:
-                    indexs[j] = i
-    return indexs
-
-
 @njit(cache=True)
 def insidepoly(x_p, y_p, x_c, y_c):
     """

From 8e6b5d47c006bc3c79a8836beb885c7db05056fd Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Tue, 6 Apr 2021 14:43:29 +0200
Subject: [PATCH 340/441] - minor english

---
 examples/01_general_things/pet_storage.py    |  2 +-
 examples/14_generic_tools/pet_fit_contour.py | 12 +++----
 examples/16_network/pet_follow_particle.py   | 12 +++----
 examples/16_network/pet_ioannou_2017_case.py | 34 +++++++++++---------
 4 files changed, 32 insertions(+), 28 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index 28f0f76e..9f0ec61e 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -32,7 +32,7 @@
 # array field like contour/profile are 2D column.
 
 # %%
-# Eddies files (zarr or netcdf) could be loaded with ```load_file``` method:
+# Eddies files (zarr or netcdf) can be loaded with ```load_file``` method:
 eddies_collections = EddiesObservations.load_file(get_demo_path("Cyclonic_20160515.nc"))
 eddies_collections.field_table()
 # offset and scale_factor are used only when data is stored in zarr or netCDF4
diff --git a/examples/14_generic_tools/pet_fit_contour.py b/examples/14_generic_tools/pet_fit_contour.py
index 9c3f9183..2d3b6dc9 100644
--- a/examples/14_generic_tools/pet_fit_contour.py
+++ b/examples/14_generic_tools/pet_fit_contour.py
@@ -15,7 +15,7 @@
 from py_eddy_tracker import data
 from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
 from py_eddy_tracker.observations.observation import EddiesObservations
-from py_eddy_tracker.poly import fit_circle_, fit_ellips
+from py_eddy_tracker.poly import fit_circle_, fit_ellipse
 
 # %%
 # Load example identification file
@@ -23,14 +23,14 @@
 
 
 # %%
-# Function to draw circle or ellips from parameter
+# Function to draw circle or ellipse from parameter
 def build_circle(x0, y0, r):
     angle = radians(linspace(0, 360, 50))
     x_norm, y_norm = cos(angle), sin(angle)
     return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)
 
 
-def build_ellips(x0, y0, a, b, theta):
+def build_ellipse(x0, y0, a, b, theta):
     angle = radians(linspace(0, 360, 50))
     x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)
     y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)
@@ -38,7 +38,7 @@ def build_ellips(x0, y0, a, b, theta):
 
 
 # %%
-# Plot fitted circle or ellips on stored contour
+# Plot fitted circle or ellipse on stored contour
 xs, ys = a.contour_lon_s, a.contour_lat_s
 
 fig = plt.figure(figsize=(15, 15))
@@ -51,9 +51,9 @@ def build_ellips(x0, y0, a, b, theta):
     ax = fig.add_subplot(4, 4, j)
     ax.grid(), ax.set_aspect("equal")
     ax.plot(x, y, label="store", color="black")
-    x0, y0, a, b, theta = fit_ellips(x_, y_)
+    x0, y0, a, b, theta = fit_ellipse(x_, y_)
     x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)
-    ax.plot(*build_ellips(x0, y0, a, b, theta), label="ellips", color="green")
+    ax.plot(*build_ellipse(x0, y0, a, b, theta), label="ellipse", color="green")
     x0, y0, radius, shape_error = fit_circle_(x_, y_)
     x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)
     ax.plot(*build_circle(x0, y0, radius), label="circle", color="red", lw=0.5)
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 65746015..0c4be55d 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -33,7 +33,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which are not used but consumes same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
@@ -147,7 +147,7 @@ def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
     e = eddies.extract_with_mask(m_start)
     # to be able to get global index
     translate_start = where(m_start)[0]
-    # Identify particle in eddies(only in core)
+    # Identify particle in eddies (only in core)
     i_start = e.contains(x, y, intern=True)
     m = i_start != -1
     x, y, i_start = x[m], y[m], i_start[m]
@@ -158,9 +158,9 @@ def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
     e_end = eddies.extract_with_mask(m_end)
     # to be able to get global index
     translate_end = where(m_end)[0]
-    # Id eddies for each alive particle(in core and extern)
+    # Id eddies for each alive particle (in core and extern)
     i_end = e_end.contains(x, y)
-    # compute matrix and filled target array
+    # compute matrix and fill target array
     get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
 
 
@@ -169,7 +169,7 @@ def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
     nb_start, nb_end = translate_start.size, translate_end.size
     # Matrix which will store count for every couple
     count = zeros((nb_start, nb_end), dtype=nb_types.int32)
-    # Number of particle in each origin observation
+    # Number of particles in each origin observation
     ref = zeros(nb_start, dtype=nb_types.int32)
     # For each particle
     for i in range(i_start.size):
@@ -181,7 +181,7 @@ def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
     for i in range(nb_start):
         for j in range(nb_end):
             pct_ = count[i, j]
-            # If there are particle from i to j
+            # If there are particles from i to j
             if pct_ != 0:
                 # Get percent
                 pct_ = pct_ / ref[i] * 100.0
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 54f124f7..237cfc57 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -14,15 +14,19 @@
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
-from numpy import arange, where
+from numpy import arange, where, array, pi
 
 import py_eddy_tracker.gui
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
 
+from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
+from py_eddy_tracker.poly import fit_ellipse
 
 # %%
+
+
 class VideoAnimation(FuncAnimation):
     def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
@@ -192,43 +196,43 @@ def update_axes(ax, mappable=None):
 # %%
 # Rotation angle
 # --------------
-from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
-from py_eddy_tracker.poly import fit_ellips
+# For each obs, fit an ellipse to the contour, with theta the angle from the x-axis,
+# a the semi ax in x direction and b the semi ax in y dimension
+
 theta_ = list()
 a_ = list()
 b_ = list()
 for obs in close_to_i3:
-    x, y = obs['contour_lon_s'], obs['contour_lat_s']
+    x, y = obs["contour_lon_s"], obs["contour_lat_s"]
     x0_, y0_ = x.mean(), y.mean()
     x_, y_ = coordinates_to_local(x, y, x0_, y0_)
-    x0, y0, a, b, theta = fit_ellips(x_, y_)
+    x0, y0, a, b, theta = fit_ellipse(x_, y_)
     theta_.append(theta)
     a_.append(a)
     b_.append(b)
-a_=array(a_)
-b_=array(b_)
+a_ = array(a_)
+b_ = array(b_)
 
 # %%
 # Theta
 ax = timeline_axes()
-m = close_to_i3.scatter_timeline(ax, theta_, vmin=-pi/2, vmax=pi/2, cmap='hsv')
+m = close_to_i3.scatter_timeline(ax, theta_, vmin=-pi / 2, vmax=pi / 2, cmap="hsv")
 cb = update_axes(ax, m["scatter"])
 
 # %%
-# A
+# a
 ax = timeline_axes()
-m = close_to_i3.scatter_timeline(ax, a_ * 1e-3, vmin=0, vmax=80, cmap='Spectral_r')
+m = close_to_i3.scatter_timeline(ax, a_ * 1e-3, vmin=0, vmax=80, cmap="Spectral_r")
 cb = update_axes(ax, m["scatter"])
 
 # %%
-# B
+# b
 ax = timeline_axes()
-m = close_to_i3.scatter_timeline(ax, b_ * 1e-3, vmin=0, vmax=80, cmap='Spectral_r')
+m = close_to_i3.scatter_timeline(ax, b_ * 1e-3, vmin=0, vmax=80, cmap="Spectral_r")
 cb = update_axes(ax, m["scatter"])
 
 # %%
-# A/B
+# a/b
 ax = timeline_axes()
-m = close_to_i3.scatter_timeline(ax, a_/b_, vmin=1, vmax=2, cmap='Spectral_r')
+m = close_to_i3.scatter_timeline(ax, a_ / b_, vmin=1, vmax=2, cmap="Spectral_r")
 cb = update_axes(ax, m["scatter"])
-

From d883b484acf7677adc04c820078f6ede07f57a71 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Tue, 6 Apr 2021 14:44:20 +0200
Subject: [PATCH 341/441] -minor english

---
 .../old_tracker_reference.py                  |  8 ++++----
 src/py_eddy_tracker/observations/network.py   |  8 +-------
 .../observations/observation.py               | 20 +++++++++----------
 src/py_eddy_tracker/poly.py                   |  4 ++--
 4 files changed, 17 insertions(+), 23 deletions(-)

diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 7baaffd3..41e02db9 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -21,13 +21,13 @@ def cost_function(records_in, records_out, distance):
         return distance
 
     def mask_function(self, other, distance):
-        """We mask link with ellips and ratio"""
-        # Compute Parameter of ellips
+        """We mask link with ellipse and ratio"""
+        # Compute Parameter of ellipse
         minor, major = 1.05, 1.5
-        y = self.basic_formula_ellips_major_axis(
+        y = self.basic_formula_ellipse_major_axis(
             self.lat, degrees=True, c0=minor, cmin=minor, cmax=major, lat1=23, lat2=5
         )
-        # mask from ellips
+        # mask from ellipse
         mask = self.shifted_ellipsoid_degrees_mask(
             other, minor=minor, major=y  # Minor can be bigger than major??
         )
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 7a57bbca..91849955 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -513,7 +513,6 @@ def relatives(self, obs, order=2):
             else:
                 segments_connexion[seg][0] = i_slice
 
-
             if i_p != -1:
 
                 if p_seg not in segments_connexion:
@@ -531,12 +530,7 @@ def relatives(self, obs, order=2):
                 segments_connexion[seg][1].append(n_seg)
                 segments_connexion[n_seg][1].append(seg)
 
-
-        i_obs = (
-            [obs]
-            if not hasattr(obs, "__iter__")
-            else obs
-        )
+        i_obs = [obs] if not hasattr(obs, "__iter__") else obs
         import numpy as np
 
         distance = zeros(segment.size, dtype=np.uint16) - 1
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0d0f45b7..5ee45a28 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -87,7 +87,7 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
     # Focal
     f_right = lon0
     f_left = f_right - (c - minor)
-    # Ellips center
+    # Ellipse center
     x_c = (f_left + f_right) * 0.5
 
     nb_0, nb_1 = lat0.shape[0], lat1.shape[0]
@@ -1248,7 +1248,7 @@ def shifted_ellipsoid_degrees_mask(self, other, minor=1.5, major=1.5):
         )
 
     def fixed_ellipsoid_mask(
-        self, other, minor=50, major=100, only_east=False, shifted_ellips=False
+        self, other, minor=50, major=100, only_east=False, shifted_ellipse=False
     ):
         dist = self.distance(other).T
         accepted = dist < minor
@@ -1272,13 +1272,13 @@ def fixed_ellipsoid_mask(
             )
 
             lon_self = self.lon[index_self]
-            if shifted_ellips:
-                x_center_ellips = lon_self - (major - minor) / 2
+            if shifted_ellipse:
+                x_center_ellipse = lon_self - (major - minor) / 2
             else:
-                x_center_ellips = lon_self
+                x_center_ellipse = lon_self
 
-            lon_left_f = x_center_ellips - f_degree
-            lon_right_f = x_center_ellips + f_degree
+            lon_left_f = x_center_ellipse - f_degree
+            lon_right_f = x_center_ellipse + f_degree
 
             dist_left_f = distance(
                 lon_left_f,
@@ -1302,7 +1302,7 @@ def fixed_ellipsoid_mask(
         return accepted.T
 
     @staticmethod
-    def basic_formula_ellips_major_axis(
+    def basic_formula_ellipse_major_axis(
         lats, cmin=1.5, cmax=10.0, c0=1.5, lat1=13.5, lat2=5.0, degrees=False
     ):
         """Give major axis in km with a given latitude"""
@@ -2054,8 +2054,8 @@ def contains(self, x, y, intern=False):
         :rtype: array[int32]
         """
         xname, yname = self.intern(intern)
-        m = ~ (isnan(x) + isnan(y))
-        i = -ones(x.shape, dtype='i4')
+        m = ~(isnan(x) + isnan(y))
+        i = -ones(x.shape, dtype="i4")
         i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
         return i
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index af621423..5e22e797 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -522,9 +522,9 @@ def fit_circle(x, y):
 
 
 @njit(cache=True)
-def fit_ellips(x, y):
+def fit_ellipse(x, y):
     r"""
-    From a polygon, function will fit an ellips.
+    From a polygon, function will fit an ellipse.
 
     Must be call with local coordinates (in m, to get a radius in m).
 

From 93709e4bd26908aef17898754246b55d50a00924 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Wed, 7 Apr 2021 13:27:19 +0200
Subject: [PATCH 342/441] documentation english corrections (#79)

documentation : english corrections
---
 src/py_eddy_tracker/appli/network.py          |   8 +-
 src/py_eddy_tracker/dataset/grid.py           | 128 ++++++++--------
 src/py_eddy_tracker/generic.py                |  48 +++---
 src/py_eddy_tracker/gui.py                    |   2 +-
 src/py_eddy_tracker/observations/groups.py    |  28 ++--
 src/py_eddy_tracker/observations/network.py   | 144 ++++++++++--------
 .../observations/observation.py               |  58 +++----
 src/py_eddy_tracker/observations/tracking.py  |  36 ++---
 8 files changed, 232 insertions(+), 220 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 90450078..5c4cdcaf 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -37,7 +37,7 @@ def build_network():
 
 
 def divide_network():
-    parser = EddyParser("Separate path for a same group(network)")
+    parser = EddyParser("Separate path for a same group (network)")
     parser.add_argument("input", help="input network file")
     parser.add_argument("out", help="output file")
     parser.contour_intern_arg()
@@ -66,7 +66,7 @@ def subset_network():
         "--length",
         nargs=2,
         type=int,
-        help="Nb of day which must be cover by network, first minimum number of day and last maximum number of day,"
+        help="Nb of days that must be covered by the network, first minimum number of day and last maximum number of day,"
         "if value is negative, this bound won't be used",
     )
     parser.add_argument(
@@ -85,8 +85,8 @@ def subset_network():
         "--period",
         nargs=2,
         type=int,
-        help="Start day and end day, if it's negative value we will add to day min and add to day max,"
-        "if 0 it s not use",
+        help="Start day and end day, if it's a negative value we will add to day min and add to day max,"
+        "if 0 it is not used",
     )
     args = parser.parse_args()
     n = NetworkObservations.load_file(args.input, raw_data=True)
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 28dc8330..14fe9ae3 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -153,7 +153,7 @@ def _circle_from_equal_area(vertice):
     # last coordinates == first
     lon0, lat0 = lons[1:].mean(), lats[1:].mean()
     c_x, c_y = coordinates_to_local(lons, lats, lon0, lat0)
-    # Some time, edge is only a dot of few coordinates
+    # Sometimes, edge is only a dot of few coordinates
     d_lon = lons.max() - lons.min()
     d_lat = lats.max() - lats.min()
     if d_lon < 1e-7 and d_lat < 1e-7:
@@ -239,7 +239,7 @@ def nb_pixel(self):
 
 class GridDataset(object):
     """
-    Class to have basic tool on NetCDF Grid
+    Class for basic tools on NetCDF Grid
     """
 
     __slots__ = (
@@ -274,7 +274,7 @@ def __init__(
         :param str x_name: Name of longitude coordinates
         :param str y_name: Name of latitude coordinates
         :param bool,None centered: Allow to know how coordinates could be used with pixel
-        :param dict indexs: A dictionary which set indexs to use for non-coordinate dimensions
+        :param dict indexs: A dictionary that sets indexes to use for non-coordinate dimensions
         :param bool unset: Set to True to create an empty grid object without file
         """
         self.dimensions = None
@@ -294,7 +294,7 @@ def __init__(
         self.indexs = dict() if indexs is None else indexs
         if centered is None:
             logger.warning(
-                "We assume pixel position of grid is center for %s", filename
+                "We assume pixel position of grid is centered for %s", filename
             )
         if not unset:
             self.load_general_features()
@@ -314,7 +314,7 @@ def is_centered(self):
             return self.centered
 
     def load_general_features(self):
-        """Load attrs to  be stored in object"""
+        """Load attrs to be stored in object"""
         logger.debug(
             "Load general feature from %(filename)s", dict(filename=self.filename)
         )
@@ -395,9 +395,9 @@ def load(self):
     @staticmethod
     def c_to_bounds(c):
         """
-        Centred coordinates to bounds coordinates
+        Centered coordinates to bounds coordinates
 
-        :param array c: centred coordinates to translate
+        :param array c: centered coordinates to translate
         :return: bounds coordinates
         """
         bounds = concatenate((c, (2 * c[-1] - c[-2],)))
@@ -558,7 +558,7 @@ def grid_tiles(self, varname, slice_x, slice_y):
         return data
 
     def high_filter(self, grid_name, w_cut, **kwargs):
-        """Return the grid high-pass filtered, by substracting to the grid the low-pass filter (default: order=1)
+        """Return the high-pass filtered grid, by substracting to the initial grid the low-pass filtered grid (default: order=1)
 
         :param grid_name: the name of the grid
         :param int, w_cut: the half-power wavelength cutoff (km)
@@ -567,7 +567,7 @@ def high_filter(self, grid_name, w_cut, **kwargs):
         self.vars[grid_name] -= result
 
     def low_filter(self, grid_name, w_cut, **kwargs):
-        """Return the grid low-pass filtered (default: order=1)
+        """Return the low-pass filtered grid (default: order=1)
 
         :param grid_name: the name of the grid
         :param int, w_cut: the half-power wavelength cutoff (km)
@@ -607,11 +607,11 @@ def eddy_identification(
         :param str grid_height: Grid name of Sea Surface Height
         :param str uname: Grid name of u speed component
         :param str vname: Grid name of v speed component
-        :param datetime.datetime date: Date which will be stored in object to date data
+        :param datetime.datetime date: Date to be stored in object to date data
         :param float,int step: Height between two layers in m
         :param float,int shape_error: Maximal error allowed for outermost contour in %
         :param int sampling: Number of points to store contours and speed profile
-        :param str sampling_method: Method to resample 'uniform' or 'visvalingam'
+        :param str sampling_method: Method to resample, 'uniform' or 'visvalingam'
         :param (int,int),None pixel_limit:
             Min and max number of pixels inside the inner and the outermost contour to be considered as an eddy
         :param float,None precision: Truncate values at the defined precision in m
@@ -625,8 +625,8 @@ def eddy_identification(
         .. minigallery:: py_eddy_tracker.GridDataset.eddy_identification
         """
         if not isinstance(date, datetime):
-            raise Exception("Date argument be a datetime object")
-        # The inf limit must be in pixel and  sup limit in surface
+            raise Exception("Date argument must be a datetime object")
+        # The inf limit must be in pixel and sup limit in surface
         if pixel_limit is None:
             pixel_limit = (4, 1000)
 
@@ -651,10 +651,10 @@ def eddy_identification(
 
         # Get ssh grid
         data = self.grid(grid_height).astype("f8")
-        # In case of a reduce mask
+        # In case of a reduced mask
         if len(data.mask.shape) == 0 and not data.mask:
             data.mask = zeros(data.shape, dtype="bool")
-        # we remove noisy information
+        # we remove noisy data
         if precision is not None:
             data = (data / precision).round() * precision
         # Compute levels for ssh
@@ -754,7 +754,7 @@ def eddy_identification(
                         continue
 
                     # Test the number of pixels within the outermost contour
-                    # FIXME : Maybe limit max must be replace with a maximum of surface
+                    # FIXME : Maybe limit max must be replaced with a maximum of surface
                     if (
                         contour.nb_pixel < pixel_limit[0]
                         or contour.nb_pixel > pixel_limit[1]
@@ -794,7 +794,7 @@ def eddy_identification(
                             centlon_e = x[centi, centj]
                             centlat_e = y[centi, centj]
 
-                    # centlat_e and centlon_e must be index of maximum, we will loose some inner contour if it's not
+                    # centlat_e and centlon_e must be indexes of maximum, we will loose some inner contour if it's not
                     (
                         max_average_speed,
                         speed_contour,
@@ -812,7 +812,7 @@ def eddy_identification(
                         pixel_min=pixel_limit[0],
                     )
 
-                    # FIXME : Instantiate new EddyObservation object (high cost need to be reviewed)
+                    # FIXME : Instantiate new EddyObservation object (high cost, need to be reviewed)
                     obs = EddiesObservations(
                         size=1,
                         track_extra_variables=track_extra_variables,
@@ -928,7 +928,7 @@ def get_uavg(
         pixel_min=3,
     ):
         """
-        Calculate geostrophic speed around successive contours
+        Compute geostrophic speed around successive contours
         Returns the average
         """
         # Init max speed to search maximum
@@ -1040,7 +1040,7 @@ def load(self):
 
     @property
     def bounds(self):
-        """Give bound"""
+        """Give bounds"""
         return self.x_c.min(), self.x_c.max(), self.y_c.min(), self.y_c.max()
 
     def bbox_indice(self, vertices):
@@ -1072,7 +1072,7 @@ def compute_pixel_path(self, x0, y0, x1, y1):
         pass
 
     def init_pos_interpolator(self):
-        logger.debug("Create a KdTree could be long ...")
+        logger.debug("Create a KdTree, could be long ...")
         self.index_interp = cKDTree(
             create_vertice(self.x_c.reshape(-1), self.y_c.reshape(-1))
         )
@@ -1202,10 +1202,10 @@ def bbox_indice(self, vertices):
 
     def get_pixels_in(self, contour):
         """
-        Get indices of pixels in contour.
+        Get indexes of pixels in contour.
 
-        :param vertice,Path contour: Contour which enclosed some pixels
-        :return: Indices of grid in contour
+        :param vertice,Path contour: Contour that encloses some pixels
+        :return: Indexes of grid in contour
         :rtype: array[int],array[int]
         """
         if isinstance(contour, BasePath):
@@ -1238,7 +1238,7 @@ def ystep(self):
         return self._y_step
 
     def compute_pixel_path(self, x0, y0, x1, y1):
-        """Give a series of indexes which describe the path between to position"""
+        """Give a series of indexes describing the path between two positions"""
         return compute_pixel_path(
             x0,
             y0,
@@ -1481,13 +1481,13 @@ def bessel_high_filter(self, grid_name, wave_length, order=1, lat_max=85, **kwar
         :param str grid_name: grid to filter, data will replace original one
         :param float wave_length: in km
         :param int order: order to use, if > 1 negative values of the cardinal sinus are present in kernel
-        :param float lat_max: absolute latitude above no filtering apply
+        :param float lat_max: absolute latitude, no filtering above
         :param dict kwargs: look at :py:meth:`RegularGridDataset.convolve_filter_with_dynamic_kernel`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.bessel_high_filter
         """
         logger.debug(
-            "Run filtering with wave of %(wave_length)s km and order of %(order)s ...",
+            "Run filtering with wavelength of %(wave_length)s km and order of %(order)s ...",
             dict(wave_length=wave_length, order=order),
         )
         data_out = self.convolve_filter_with_dynamic_kernel(
@@ -1813,7 +1813,7 @@ def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         )
 
     def speed_coef_mean(self, contour):
-        """Some nan can be computed over contour if we are near border,
+        """Some nan can be computed over contour if we are near borders,
         something to explore
         """
         return mean_on_regular_contour(
@@ -1831,10 +1831,10 @@ def init_speed_coef(self, uname="u", vname="v"):
 
     def display(self, ax, name, factor=1, ref=None, **kwargs):
         """
-        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param matplotlib.axes.Axes ax: matplotlib axes used to draw
         :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
-        :param float,None ref: if define use like west bound
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.pcolormesh`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.display
@@ -1853,10 +1853,10 @@ def display(self, ax, name, factor=1, ref=None, **kwargs):
 
     def contour(self, ax, name, factor=1, ref=None, **kwargs):
         """
-        :param matplotlib.axes.Axes ax: matplotlib axes use to draw
+        :param matplotlib.axes.Axes ax: matplotlib axes used to draw
         :param str,array name: variable to display, could be an array
         :param float factor: multiply grid by
-        :param float,None ref: if define use like west bound
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.contour`
 
         .. minigallery:: py_eddy_tracker.RegularGridDataset.contour
@@ -1944,13 +1944,13 @@ def advect(self, x, y, u_name, v_name, nb_step=10, rk4=True, **kw):
         """
         At each call it will update position in place with u & v field
 
-        It's a dummy advection which use only one layer of current
+        It's a dummy advection using only one layer of current
 
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
         :param str,array v_name: V field to advect obs
-        :param int nb_step: Number of iteration before to release data
+        :param int nb_step: Number of iterations before releasing data
 
         .. minigallery:: py_eddy_tracker.GridDataset.advect
         """
@@ -1967,13 +1967,13 @@ def filament(
         """
         Produce filament with concatenation of advection
 
-        It's a dummy advection which use only one layer of current
+        It's a dummy advection using only one layer of current
 
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
         :param str,array v_name: V field to advect obs
-        :param int nb_step: Number of iteration before to release data
+        :param int nb_step: Number of iteration before releasing data
         :param int filament_size: Number of point by filament
         :return: x,y for a line
 
@@ -2019,7 +2019,7 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     v00, v01, v10, v11 = 0.0, 0.0, 0.0, 0.0
     # On each particle
     for i in prange(x.size):
-        # If particle are not valid => continue
+        # If particle is not valid => continue
         if m[i]:
             continue
         x_, y_ = x[i], y[i]
@@ -2037,7 +2037,7 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
                     masked, u00, u01, u10, u11, v00, v01, v10, v11 = get_uv_quad(
                         ii_, jj_, u_g, v_g, m_g, nb_x
                     )
-            # The 3 following could be in cache operation but this one must be test in any case
+            # The 3 following could be in cache operation but this one must be tested in any case
             if masked:
                 x_, y_ = nan, nan
                 m[i] = True
@@ -2061,7 +2061,7 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
                     m[i] = True
                     break
             u2, v2 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
-            # k3, slope at middle with update guess position
+            # k3, slope at middle with updated guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
             ii_, jj_, xd, yd = get_grid_indices(
                 x_ref, y_ref, x_step, y_step, x2, y2, nb_x
@@ -2079,7 +2079,7 @@ def advect_rk4(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
                     m[i] = True
                     break
             u3, v3 = interp_uv(xd, yd, u00, u01, u10, u11, v00, v01, v10, v11)
-            # k4, slope at end with update guess position
+            # k4, slope at end with updated guess position
             x3, y3 = x_ + u3, y_ + v3
             ii_, jj_, xd, yd = get_grid_indices(
                 x_ref, y_ref, x_step, y_step, x3, y3, nb_x
@@ -2115,14 +2115,14 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
     nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
-    # Indices which should be never exist
+    # Indexes which should be never exist
     i0_old, j0_old = -100000, -100000
     masked = False
     u00, u01, u10, u11 = 0.0, 0.0, 0.0, 0.0
     v00, v01, v10, v11 = 0.0, 0.0, 0.0, 0.0
     # On each particule
     for i in prange(x.size):
-        # If particule are not valid => continue
+        # If particule is not valid => continue
         if m[i]:
             continue
         # Iterate on whole steps
@@ -2130,9 +2130,9 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
             i0, j0, xd, yd = get_grid_indices(
                 x_ref, y_ref, x_step, y_step, x[i], y[i], nb_x
             )
-            # corner are the same need only a new xd and yd
+            # corners are the same, need only a new xd and yd
             if i0 != i0_old or j0 != j0_old:
-                # Need to be store only on change
+                # Need to be stored only on change
                 i0_old, j0_old = i0, j0
                 if not is_circular and (i0 < 0 or i0 > nb_x_):
                     masked = True
@@ -2152,7 +2152,7 @@ def advect(x_g, y_g, u_g, v_g, m_g, x, y, m, nb_step):
 
 @njit(cache=True, fastmath=True)
 def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
-    """Give a serie of indexes describing the path between two position"""
+    """Give a serie of indexes describing the path between two positions"""
     # index
     nx = x0.shape[0]
     i_x0 = empty(nx, dtype=numba_types.int_)
@@ -2171,23 +2171,23 @@ def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
     i_x1 = i_x0 + d_x
     # Delta index of y
     d_y = i_y1 - i_y0
-    # max and abs sum doesn't work on array?
+    # max and abs sum do not work on array?
     d_max = empty(nx, dtype=numba_types.int32)
     nb_value = 0
     for i in range(nx):
         d_max[i] = max(abs(d_x[i]), abs(d_y[i]))
-        # Compute number of pixel which we go trought
+        # Compute number of pixel we go trought
         nb_value += d_max[i] + 1
 
-    # Create an empty array to store value of pixel across the travel
+    # Create an empty array to store value of pixel across the path
     i_g = empty(nb_value, dtype=numba_types.int32)
     j_g = empty(nb_value, dtype=numba_types.int32)
 
     # Index to determine the position in the global array
     ii = 0
-    # Iteration on each travel
+    # Iteration on each path
     for i, delta in enumerate(d_max):
-        # If the travel don't cross multiple pixel
+        # If the path doesn't cross multiple pixels
         if delta == 0:
             i_g[ii : ii + delta + 1] = i_x0[i]
             j_g[ii : ii + delta + 1] = i_y0[i]
@@ -2201,7 +2201,7 @@ def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
             sup = -1 if d_x[i] < 0 else 1
             i_g[ii : ii + delta + 1] = arange(i_x0[i], i_x1[i] + sup, sup)
             j_g[ii : ii + delta + 1] = i_y0[i]
-        # In case of multiple direction
+        # In case of multiple directions
         else:
             a = (i_x1[i] - i_x0[i]) / float(i_y1[i] - i_y0[i])
             if abs(d_x[i]) >= abs(d_y[i]):
@@ -2479,7 +2479,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
     nb_x_ = x_g.size
     nb_x = nb_x_ if is_circular else 0
-    # Indices which should be never exist
+    # Indexes that should never exist
     i0_old, j0_old = -100000, -100000
     m0, m1 = False, False
     u000, u001, u010, u011 = 0.0, 0.0, 0.0, 0.0
@@ -2488,7 +2488,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
     v100, v101, v110, v111 = 0.0, 0.0, 0.0, 0.0
     # On each particle
     for i in prange(x.size):
-        # If particle are not valid => continue
+        # If particle is not valid => continue
         if m[i]:
             continue
         # Iterate on whole steps
@@ -2497,7 +2497,7 @@ def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, hal
                 x_ref, y_ref, x_step, y_step, x[i], y[i], nb_x
             )
             if i0 != i0_old or j0 != j0_old:
-                # Need to be store only on change
+                # Need to be stored only on change
                 i0_old, j0_old = i0, j0
                 if not is_circular and (i0 < 0 or i0 > nb_x_):
                     m0, m1 = True, True
@@ -2528,8 +2528,8 @@ def get_uv_quad(i0, j0, u, v, m, nb_x=0):
     """
     Return u/v for (i0, j0), (i1, j0), (i0, j1), (i1, j1)
 
-    :param int i0: indices of longitude
-    :param int j0: indices of latitude
+    :param int i0: indexes of longitude
+    :param int j0: indexes of latitude
     :param array[float] u: current along x axis
     :param array[float] v: current along y axis
     :param array[bool] m: flag to know if position is valid
@@ -2552,7 +2552,7 @@ def get_uv_quad(i0, j0, u, v, m, nb_x=0):
 @njit(cache=True, fastmath=True)
 def get_grid_indices(x0, y0, x_step, y_step, x, y, nb_x=0):
     """
-    Return grid indices and weight
+    Return grid indexes and weight
 
     :param float x0: first longitude
     :param float y0: first latitude
@@ -2562,7 +2562,7 @@ def get_grid_indices(x0, y0, x_step, y_step, x, y, nb_x=0):
     :param float y: latitude to interpolate
     :param int nb_x: If different of 0 we check if wrapping is needed
 
-    :return: indices and weight
+    :return: indexes and weight
     :rtype: int,int,float,float
     """
     i, j = (x - x0) / x_step, (y - y0) / y_step
@@ -2614,7 +2614,7 @@ def advect_t_rk4(
     v100, v101, v110, v111 = 0.0, 0.0, 0.0, 0.0
     # On each particle
     for i in prange(x.size):
-        # If particle are not valid => continue
+        # If particle is not valid => continue
         if m[i]:
             continue
         x_, y_ = x[i], y[i]
@@ -2635,7 +2635,7 @@ def advect_t_rk4(
                     (m1, u100, u101, u110, u111, v100, v101, v110, v111) = get_uv_quad(
                         ii_, jj_, u_g1, v_g1, m_g1, nb_x
                     )
-            # The 3 following could be in cache operation but this one must be test in any case
+            # The 3 following could be in cache operation but this one must be tested in any case
             if m0 or m1:
                 x_, y_ = nan, nan
                 m[i] = True
@@ -2667,7 +2667,7 @@ def advect_t_rk4(
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             w_ = w - half_w
             u2, v2 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
-            # k3, slope at middle with update guess position
+            # k3, slope at middle with updated guess position
             x2, y2 = x_ + u2 * 0.5, y_ + v2 * 0.5
             ii_, jj_, xd, yd = get_grid_indices(
                 x_ref, y_ref, x_step, y_step, x2, y2, nb_x
@@ -2690,7 +2690,7 @@ def advect_t_rk4(
             u0_, v0_ = interp_uv(xd, yd, u000, u001, u010, u011, v000, v001, v010, v011)
             u1_, v1_ = interp_uv(xd, yd, u100, u101, u110, u111, v100, v101, v110, v111)
             u3, v3 = u0_ * w_ + u1_ * (1 - w_), v0_ * w_ + v1_ * (1 - w_)
-            # k4, slope at end with update guess position
+            # k4, slope at end with updated guess position
             x3, y3 = x_ + u3, y_ + v3
             ii_, jj_, xd, yd = get_grid_indices(
                 x_ref, y_ref, x_step, y_step, x3, y3, nb_x
@@ -2737,7 +2737,7 @@ def compute_stencil(x, y, h, m, earth_radius, vertical=False, stencil_halfwidth=
     :param array x: longitude coordinates
     :param array y: latitude coordinates
     :param array h: 2D array to derivate
-    :param array m: mask associate to h to know where are invalid data
+    :param array m: mask associated to h to know where are invalid data
     :param float earth_radius: Earth radius in m
     :param bool vertical: if True stencil will be vertical (along y)
     :param int stencil_halfwidth: from 1 to 4 to specify maximal kernel usable
@@ -2831,7 +2831,7 @@ def compute_stencil(x, y, h, m, earth_radius, vertical=False, stencil_halfwidth=
                 grad[i, j] = (h3 - h_3 + 9 * (h_2 - h2) + 45 * (h1 - h_1)) / 60 * d_
                 m_out[i, j] = False
                 continue
-            # If all value of buffer are available
+            # If all values of buffer are available
             grad[i, j] = (
                 (3 * (h_4 - h4) + 32 * (h3 - h_3) + 168 * (h_2 - h2) + 672 * (h1 - h_1))
                 / 840
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 35c23817..6689c8e5 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -30,7 +30,7 @@
 @njit(cache=True)
 def count_consecutive(mask):
     """
-    Count consecutive event every False flag count restart
+    Count consecutive events every False flag count restart
 
     :param array[bool] mask: event to count
     :return: count when consecutive event
@@ -50,7 +50,7 @@ def count_consecutive(mask):
 @njit(cache=True)
 def reverse_index(index, nb):
     """
-    Compute a list of index, which are not in index.
+    Compute a list of indexes, which are not in index.
 
     :param array index: index of group which will be set to False
     :param array nb: Count for each group
@@ -65,17 +65,17 @@ def reverse_index(index, nb):
 
 @njit(cache=True)
 def build_index(groups):
-    """We expected that variable is monotonous, and return index for each step change.
+    """We expect that variable is monotonous, and return index for each step change.
 
-    :param array groups: array which contain group to be separated
-    :return: (first_index of each group, last_index of each group, value to shift group)
+    :param array groups: array that contains groups to be separated
+    :return: (first_index of each group, last_index of each group, value to shift groups)
     :rtype: (array, array, int)
-
     Examples
     --------
     >>> build_index(array((1, 1, 3, 4, 4)))
     (array([0, 2, 2, 3]), array([2, 2, 3, 5]), 1)
     """
+
     i0, i1 = groups.min(), groups.max()
     amplitude = i1 - i0 + 1
     # Index of first observation for each group
@@ -83,7 +83,7 @@ def build_index(groups):
     for i, group in enumerate(groups[:-1]):
         # Get next value to compare
         next_group = groups[i + 1]
-        # if different we need to set index for all group between the 2 values
+        # if different we need to set index for all groups between the 2 values
         if group != next_group:
             first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
     last_index = zeros(amplitude, dtype=numba_types.int_)
@@ -95,21 +95,21 @@ def build_index(groups):
 
 @njit(cache=True)
 def hist_numba(x, bins):
-    """Call numba histogram  to speed up."""
+    """Call numba histogram to speed up."""
     return histogram(x, bins)
 
 
 @njit(cache=True, fastmath=True, parallel=False)
 def distance_grid(lon0, lat0, lon1, lat1):
     """
-    Get distance for every couple of point.
+    Get distance for every couple of points.
 
     :param array lon0:
     :param array lat0:
     :param array lon1:
     :param array lat1:
 
-    :return: nan value for far away point, and km for other
+    :return: nan value for far away points, and km for other
     :rtype: array
     """
     nb_0 = lon0.shape[0]
@@ -164,7 +164,7 @@ def cumsum_by_track(field, track):
     Cumsum by track.
 
     :param array field: data to sum
-    :pram array(int) track: id of track to separate data
+    :pram array(int) track: id of trajectories to separate data
     :return: cumsum with a reset at each start of track
     :rtype: array
     """
@@ -192,7 +192,7 @@ def interp2d_geo(x_g, y_g, z_g, m_g, x, y, nearest=False):
     :param array m_g: Boolean grid, True if value is masked
     :param array x: coordinate where interpolate z
     :param array y: coordinate where interpolate z
-    :param bool nearest: if true we will take nearest pixel
+    :param bool nearest: if True we will take nearest pixel
     :return: z interpolated
     :rtype: array
     """
@@ -256,17 +256,17 @@ def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
     nb_x = x_g.shape[0]
     nb_y = y_g.shape[0]
     is_circular = abs(x_g[-1] % 360 - (x_g[0] - x_step) % 360) < 1e-5
-    # Indices which should be never exist
+    # Indexes that should never exist
     i0_old, j0_old, masked = -100000000, -10000000, False
     z = empty(x.shape, dtype=z_g.dtype)
     for i in prange(x.size):
         x_ = (x[i] - x_ref) / x_step
         y_ = (y[i] - y_ref) / y_step
         i0 = int(floor(x_))
-        # To keep original value if wrapping apply to compute xd
+        # To keep original values if wrapping applied to compute xd
         i0_ = i0
         j0 = int(floor(y_))
-        # corner are the same need only a new xd and yd
+        # corners are the same need only a new xd and yd
         if i0 != i0_old or j0 != j0_old:
             i1 = i0 + 1
             j1 = j0 + 1
@@ -288,7 +288,7 @@ def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
                         z_g[i1, j1],
                     )
                     masked = False
-            # Need to be store only on change
+            # Need to be stored only on change
             i0_old, j0_old = i0, j0
         if masked:
             z[i] = nan
@@ -359,17 +359,17 @@ def flatten_line_matrix(l_matrix):
 @njit(cache=True)
 def simplify(x, y, precision=0.1):
     """
-    Will remove all middle/end point which are closer than precision.
+    Will remove all middle/end points closer than precision.
 
     :param array x:
     :param array y:
-    :param float precision: if two points have distance inferior to precision with remove next point
+    :param float precision: if two points have distance inferior to precision we remove next point
     :return: (x,y)
     :rtype: (array,array)
     """
     precision2 = precision ** 2
     nb = x.shape[0]
-    # will be True for value keep
+    # will be True for kept values
     mask = ones(nb, dtype=bool_)
     for j in range(0, nb):
         x_previous, y_previous = x[j], y[j]
@@ -423,7 +423,7 @@ def split_line(x, y, i):
     :param y: array
     :param i: array of int at each i change, we cut x, y
 
-    :return: x and y separate by nan at each i jump
+    :return: x and y separated by nan at each i jump
     """
     nb_jump = len(where(i[1:] - i[:-1] != 0)[0])
     nb_value = x.shape[0]
@@ -445,11 +445,11 @@ def split_line(x, y, i):
 @njit(cache=True)
 def wrap_longitude(x, y, ref, cut=False):
     """
-    Will wrap contiguous longitude with reference as west bound.
+    Will wrap contiguous longitude with reference as western boundary.
 
     :param array x:
     :param array y:
-    :param float ref: longitude of reference, all the new value will be between ref and ref + 360
+    :param float ref: longitude of reference, all the new values will be between ref and ref + 360
     :param bool cut: if True line will be cut at the bounds
     :return: lon,lat
     :rtype: (array,array)
@@ -557,7 +557,7 @@ def local_to_coordinates(x, y, lon0, lat0):
 @njit(cache=True, fastmath=True)
 def nearest_grd_indice(x, y, x0, y0, xstep, ystep):
     """
-    Get nearest grid indice from a position.
+    Get nearest grid index from a position.
 
     :param x: longitude
     :param y: latitude
@@ -575,7 +575,7 @@ def nearest_grd_indice(x, y, x0, y0, xstep, ystep):
 @njit(cache=True)
 def bbox_indice_regular(vertices, x0, y0, xstep, ystep, N, circular, x_size):
     """
-    Get bbox indice of a contour in a regular grid.
+    Get bbox index of a contour in a regular grid.
 
     :param vertices: vertice of contour
     :param float x0: first grid longitude
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 423ff306..a90a29a6 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -28,7 +28,7 @@ def __init__(self, *args, **kwargs):
 
 class GUIAxes(PlatCarreAxes):
     """
-    Axes which will use full space available
+    Axes that uses full space available
     """
 
     name = "full_axes"
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 5a01d452..bd8ac81d 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -13,17 +13,17 @@
 def get_missing_indices(
     array_time, array_track, dt=1, flag_untrack=True, indice_untrack=0
 ):
-    """return indices where it misses values
+    """Return indexes where values are missing
 
     :param np.array(int) array_time : array of strictly increasing int representing time
-    :param np.array(int) array_track: N° track where observation belong
-    :param int,float dt: theorical timedelta between 2 observation
+    :param np.array(int) array_track: N° track where observations belong
+    :param int,float dt: theorical timedelta between 2 observations
     :param bool flag_untrack: if True, ignore observations where n°track equal `indice_untrack`
-    :param int indice_untrack: n° representing where observations are untrack
+    :param int indice_untrack: n° representing where observations are untracked
 
 
     ex : array_time = np.array([67, 68, 70, 71, 74, 75])
-         array_track= np.array([ 1,  1,  1,  1,  1,  1])
+        array_track= np.array([ 1,  1,  1,  1,  1,  1])
         return : np.array([2, 4, 4])
     """
 
@@ -72,11 +72,11 @@ def fix_next_previous_obs(self):
 
     @abstractmethod
     def get_missing_indices(self, dt):
-        "find indices where observations is missing"
+        "Find indexes where observations are missing"
         pass
 
     def filled_by_interpolation(self, mask):
-        """Filled selected values by interpolation
+        """Fill selected values by interpolation
 
         :param array(bool) mask: True if must be filled by interpolation
 
@@ -102,20 +102,20 @@ def filled_by_interpolation(self, mask):
             )
 
     def insert_virtual(self):
-        """insert virtual observation on segments where observations were not found"""
+        """insert virtual observations on segments where observations are missing"""
 
         dt_theorical = median(self.time[1:] - self.time[:-1])
         indices = self.get_missing_indices(dt_theorical)
 
         logger.info("%d virtual observation will be added", indices.size)
 
-        # new observation size
+        # new observations size
         size_obs_corrected = self.time.size + indices.size
 
-        # correction of indices for new size
+        # correction of indexes for new size
         indices_corrected = indices + arange(indices.size)
 
-        # creating mask with indices
+        # creating mask with indexes
         mask = zeros(size_obs_corrected, dtype=bool)
         mask[indices_corrected] = 1
 
@@ -128,12 +128,12 @@ def insert_virtual(self):
 
     def keep_tracks_by_date(self, date, nb_days):
         """
-        Find tracks which exist at date `date` and lasted at least `nb_days` after.
+        Find tracks that exist at date `date` and lasted at least `nb_days` after.
 
         :param int,float date: date where the tracks must exist
-        :param int,float nb_days: number of time where the tracks must exist. Can be negative
+        :param int,float nb_days: number of times the tracks must exist. Can be negative
 
-        If nb_days is negative, it search a tracks which exist at the date,
+        If nb_days is negative, it searches a track that exists at the date,
         but existed at least `nb_days` before the date
         """
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 91849955..c21659f0 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -77,10 +77,10 @@ def load_contour(self, filename):
 
 @njit(cache=True)
 def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
-    """when an observation is virtual, we have to fix the previous and next obs
+    """When an observation is virtual, we have to fix the previous and next obs
 
-    :param np.array(int)  next_obs    : indice of next observation from network
-    :param np.array(int   previous_obs: indice of previous observation from network
+    :param np.array(int)  next_obs    : index of next observation from network
+    :param np.array(int   previous_obs: index of previous observation from network
     :param np.array(bool) flag_virtual: if observation is virtual or not
     """
 
@@ -88,8 +88,8 @@ def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
         if not flag_virtual[i_o]:
             continue
 
-        # if there is many virtual side by side, there is some values writted multiple times.
-        #   but it should not be slow
+        # if there are several consecutive virtuals, some values are written multiple times.
+        # but it should not be slow
         next_obs[i_o - 1] = i_o
         next_obs[i_o] = i_o + 1
         previous_obs[i_o] = i_o - 1
@@ -108,16 +108,18 @@ def __init__(self, *args, **kwargs):
 
     def find_segments_relative(self, obs, stopped=None, order=1):
         """
-        find all relative segments within an event from an order.
+        Find all relative segments linked with merging/splitting events at a specific order.
 
-        :param int obs: indice of event after the event
-        :param int stopped: indice of event before the event
+        :param int obs: index of event after the event
+        :param int stopped: index of event before the event
         :param int order: order of relatives accepted
 
-        :return: all segments relatives
+        :return: all relative segments
         :rtype: EddiesObservations
         """
 
+        # FIXME : double "event" in the description, please clarify (event = chosen obs?)
+
         # extraction of network where the event is
         network_id = self.tracks[obs]
         nw = self.network(network_id)
@@ -133,9 +135,9 @@ def find_segments_relative(self, obs, stopped=None, order=1):
             return nw.relatives([i_obs, i_stopped], order=order)
 
     def get_missing_indices(self, dt):
-        """find indices where observations is missing.
+        """Find indexes where observations are missing.
 
-        As network have all untrack observation in tracknumber `self.NOGROUP`,
+        As network have all untracked observation in tracknumber `self.NOGROUP`,
             we don't compute them
 
         :param int,float dt: theorical delta time between 2 observations
@@ -195,8 +197,8 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         """
         Select network on time duration
 
-        :param int nb_day_min: Minimal number of day covered by one network, if negative -> not used
-        :param int nb_day_max: Maximal number of day covered by one network, if negative -> not used
+        :param int nb_day_min: Minimal number of days covered by one network, if negative -> not used
+        :param int nb_day_max: Maximal number of days covered by one network, if negative -> not used
         """
         if nb_day_max < 0:
             nb_day_max = 1000000000000
@@ -227,7 +229,7 @@ def from_split_network(cls, group_dataset, indexs, **kwargs):
                 continue
             network[field][:] = group_dataset[field][index_order]
         network.segment[:] = indexs["track"][index_order]
-        # n & p must be re-index
+        # n & p must be re-indexed
         n, p = indexs["next_obs"][index_order], indexs["previous_obs"][index_order]
         # we add 2 for -1 index return index -1
         translate = -ones(index_order.max() + 2, dtype="i4")
@@ -243,7 +245,7 @@ def infos(self, label=""):
 
     def correct_close_events(self, nb_days_max=20):
         """
-        transform event where
+        Transform event where
         segment A split to B, then A merge into B
 
         to
@@ -255,6 +257,12 @@ def correct_close_events(self, nb_days_max=20):
         :param float nb_days_max: maximum time to search for splitting-merging event
         """
 
+        # FIXME : we want to change
+        # segment A splits from segment B, then x days after segment B merges with A
+        # to
+        # segment A splits from segment B then x days after segement A merges with B (B will be longer)
+        # comments are in the wrong way but the example works as wanted
+
         _time = self.time
         # segment used to correct and track changes
         segment = self.segment_track_array.copy()
@@ -265,7 +273,7 @@ def correct_close_events(self, nb_days_max=20):
 
         previous_obs, next_obs = self.previous_obs, self.next_obs
 
-        # record for every segments, the slice, indice of next obs & indice of previous obs
+        # record for every segment the slice, index of next obs & index of previous obs
         for i, seg, _ in self.iter_on(segment):
             if i.start == i.stop:
                 continue
@@ -284,12 +292,12 @@ def correct_close_events(self, nb_days_max=20):
 
             n_seg = segment[i_seg_n]
 
-            # if segment has splitting
+            # if segment is split
             if i_seg_n != -1:
                 seg2_slice, i2_seg_p, i2_seg_n = segments_connexion[n_seg]
                 p2_seg = segment[i2_seg_p]
 
-                # if it merge on the first in a certain time
+                # if it merges on the first in a certain time
                 if (p2_seg == seg_corrected) and (
                     _time[i_seg_n] - _time[i2_seg_p] < nb_days_max
                 ):
@@ -309,11 +317,10 @@ def correct_close_events(self, nb_days_max=20):
 
     def sort(self, order=("track", "segment", "time")):
         """
-        sort observations
+        Sort observations
 
-        :param tuple order: order or sorting. Passed to :func:`numpy.argsort`
+        :param tuple order: order or sorting. Given to :func:`numpy.argsort`
         """
-
         index_order = self.obs.argsort(order=order)
         for field in self.elements:
             self[field][:] = self[field][index_order]
@@ -329,17 +336,17 @@ def obs_relative_order(self, i_obs):
 
     def find_link(self, i_observations, forward=True, backward=False):
         """
-        find all observations where obs `i_observation` could be
+        Find all observations where obs `i_observation` could be
         in future or past.
 
-        if forward=True, search all observation  where water
+        If forward=True, search all observations where water
         from obs "i_observation" could go
 
-        if backward=True, search all observation
+        If backward=True, search all observation
         where water from obs `i_observation` could come from
 
         :param int,iterable(int) i_observation:
-            indices of observation. Can be
+            indexes of observation. Can be
             int, or iterable of int.
         :param bool forward, backward:
             if forward, search observations after obs.
@@ -425,7 +432,7 @@ def func_backward(seg, indice):
 
     def connexions(self, multi_network=False):
         """
-        create dictionnary for each segments, gives the segments which interact with
+        Create dictionnary for each segment, gives the segments in interaction with
         """
         if multi_network:
             segment = self.segment_track_array
@@ -444,7 +451,7 @@ def add_seg(father, child):
             if i.start == i.stop:
                 continue
             i_p, i_n = previous_obs[i.start], next_obs[i.stop - 1]
-            # segment of interaction
+            # segment in interaction
             p_seg, n_seg = segment[i_p], segment[i_n]
             # Where segment are called
             if i_p != -1:
@@ -489,10 +496,12 @@ def relatives(self, obs, order=2):
         """
         Extract the segments at a certain order from multiple observations.
 
-        :param iterable,int obs: indices of observation for relatives computation. Can be one observation (int) or collection of observations (iterable(int))
-        :param int order: order of relatives wanted. 0 means only observations in obs, 1 means direct relatives, ...
+        :param iterable,int obs: indexes of observation for relatives computation.
+            Can be one observation (int) or collection of observations (iterable(int))
+        :param int order: order of relatives wanted.
+            0 means only observations in obs, 1 means direct relatives (1 interaction event), ...
 
-        :return: all segments relatives
+        :return: all segments' relatives
         :rtype: EddiesObservations
         """
         segment = self.segment_track_array
@@ -559,7 +568,7 @@ def close_network(self, other, nb_obs_min=10, **kwargs):
         :param self other: Atlas to compare
         :param int nb_obs_min: Minimal number of overlap for one trajectory
         :param dict kwargs: keyword arguments for match function
-        :return: return other atlas reduce to common track with self
+        :return: return other atlas reduced to common tracks with self
 
         .. warning::
             It could be a costly operation for huge dataset
@@ -662,7 +671,7 @@ def display_timeline(
         **kwargs,
     ):
         """
-        Plot a timeline of a network.
+        Plot the timeline of a network.
         Must be called on only one network.
 
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
@@ -723,7 +732,7 @@ def display_timeline(
         return mappables
 
     def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="roll"):
-        """mark events in plot"""
+        """Mark events in plot"""
         j = 0
         events = dict(spliting=[], merging=[])
 
@@ -837,11 +846,11 @@ def map_segment(self, method, y, same=True, **kw):
 
     def map_network(self, method, y, same=True, return_dict=False, **kw):
         """
-        transform data `y` with method `method` for each track.
+        Transform data `y` with method `method` for each track.
 
-        :param Callable method: method to apply on each  tracks
+        :param Callable method: method to apply on each track
         :param np.array y: data where to apply method
-        :param bool same: if True, return array same size from y. else, return list with track edited
+        :param bool same: if True, return an array with the same size than y. Else, return a list with the edited tracks
         :param bool return_dict: if None, mean values are used
         :param float kw: to multiply field
         :return: array or dict of result from method for each network
@@ -849,7 +858,7 @@ def map_network(self, method, y, same=True, return_dict=False, **kw):
 
         if same and return_dict:
             raise NotImplementedError(
-                "both condition 'same' and 'return_dict' should no be true"
+                "both conditions 'same' and 'return_dict' should no be true"
             )
 
         if same:
@@ -893,7 +902,7 @@ def scatter_timeline(
         **kwargs,
     ):
         """
-        Must be call on only one network
+        Must be called on only one network
         """
         self.only_one_network()
         y = (self.segment if yfield is None else self.parse_varname(yfield)) * yfactor
@@ -913,7 +922,7 @@ def scatter_timeline(
         return mappables
 
     def event_map(self, ax, **kwargs):
-        """Add the merging and splitting events """
+        """Add the merging and splitting events to a map"""
         j = 0
         mappables = dict()
         symbol_kw = dict(
@@ -957,12 +966,12 @@ def scatter(
         **kwargs,
     ):
         """
-        This function will scatter the path of each network, with the merging and splitting events
+        This function scatters the path of each network, with the merging and splitting events
 
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str,array,None name:
-            variable used to fill the contour, if None all elements have the same color
-        :param float,None ref: if define use like west bound
+            variable used to fill the contours, if None all elements have the same color
+        :param float,None ref: if defined, ref is used as western boundary
         :param float factor: multiply value by
         :param list edgecolor_cycle: list of colors
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
@@ -1120,7 +1129,7 @@ def spliting_event(self, triplet=False, only_index=False):
 
     def dissociate_network(self):
         """
-        Dissociate network with no known interaction (spliting/merging)
+        Dissociate networks with no known interaction (spliting/merging)
         """
 
         tags = self.tag_segment(multi_network=True)
@@ -1134,7 +1143,7 @@ def dissociate_network(self):
         self.obs.sort(order=("track", "segment", "time"), kind="mergesort")
         self._index_network = None
 
-        # n & p must be re-index
+        # n & p must be re-indexed
         n, p = self.next_obs, self.previous_obs
         # we add 2 for -1 index return index -1
         nb_obs = len(self)
@@ -1157,17 +1166,17 @@ def __tag_segment(cls, seg, tag, groups, connexions):
         """
         Will set same temporary ID for each connected segment.
 
-        :param int seg: current ID of seg
-        :param ing tag: temporary ID to set for seg and its connexion
-        :param array[int] groups: array where tag will be stored
-        :param dict connexions: gives for one ID of seg all seg connected
+        :param int seg: current ID of segment
+        :param ing tag: temporary ID to set for segment and its connexion
+        :param array[int] groups: array where tag is stored
+        :param dict connexions: gives for one ID of segment all connected segments
         """
-        # If seg are already used we stop recursivity
+        # If segments are already used we stop recursivity
         if groups[seg] != 0:
             return
-        # We set tag for this seg
+        # We set tag for this segment
         groups[seg] = tag
-        # Get all connexions of this seg
+        # Get all connexions of this segment
         segs = connexions.get(seg, None)
         if segs is not None:
             for seg in segs:
@@ -1197,14 +1206,17 @@ def fully_connected(self):
         return self.tag_segment().shape[0] == 1
 
     def remove_trash(self):
+        """
+        Remove the lonely eddies (only 1 obs in segment, associated segment number is 0)
+        """
         return self.extract_with_mask(self.track != 0)
 
     def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         """
-        This function will draw path of each trajectory
+        This function draws the path of each trajectory
 
         :param matplotlib.axes.Axes ax: ax to draw
-        :param float,int ref: if defined, all coordinates will be wrapped with ref like west boundary
+        :param float,int ref: if defined, all coordinates are wrapped with ref as western boundary
         :param dict kwargs: keyword arguments for Axes.plot
         :return: a list of matplotlib mappables
         """
@@ -1231,15 +1243,15 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
 
     def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         """
-        Remove short segment which didn't connect several segment
+        Remove short segments that don't connect several segments
 
-        :param int nobs: Minimal number of observation to keep segment
-        :param int ndays: Minimal number of days to keep segment
-        :param int recursive: Run  method N times more
-        :param int mask: if one or more observation of segment are select by mask, the segment is keep
+        :param int nobs: Minimal number of observation to keep a segment
+        :param int ndays: Minimal number of days to keep a segment
+        :param int recursive: Run method N times more
+        :param int mask: if one or more observation of the segment are selected by mask, the segment is kept
 
         .. warning::
-            It will remove short segment which splits than merges with same segment
+            It will remove short segment that splits from then merges with the same segment
         """
         segments_keep = list()
         connexions = self.connexions(multi_network=True)
@@ -1275,8 +1287,8 @@ def extract_with_period(self, period):
         """
         Extract within a time period
 
-        :param (int,int) period: two dates to define the period, must be specify from 1/1/1950
-        :return: Return all eddy tracks which are in bounds
+        :param (int,int) period: two dates to define the period, must be specified from 1/1/1950
+        :return: Return all eddy trajectories in period
         :rtype: NetworkObservations
 
         .. minigallery:: py_eddy_tracker.NetworkObservations.extract_with_period
@@ -1313,7 +1325,7 @@ def extract_with_mask(self, mask):
             logger.warning("Empty dataset will be created")
         else:
             logger.info(
-                f"{nb_obs} observations will be extract ({nb_obs / self.shape[0]:.3%})"
+                f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
             )
             for field in self.obs.dtype.descr:
                 if field in ("next_obs", "previous_obs"):
@@ -1403,7 +1415,7 @@ def group_translator(nb, duos):
         Create a translator with all duos
 
         :param int nb: size of translator
-        :param set((int, int)) duos: set of all group which must be join
+        :param set((int, int)) duos: set of all groups that must be joined
 
         Examples
         --------
@@ -1424,7 +1436,7 @@ def group_observations(self, **kwargs):
         for i, filename in enumerate(self.filenames):
             if display_iteration:
                 print(f"{filename} compared to {self.window} next", end="\r")
-            # Load observations with function to buffered observations
+            # Load observations with function to buffer observations
             xi, yi = self.buffer.load_contour(filename)
             # Append number of observations by filename
             nb_obs.append(xi.shape[0])
@@ -1449,7 +1461,7 @@ def build_dataset(self, group, raw_data=True):
         model = TrackEddiesObservations.load_file(self.filenames[-1], raw_data=raw_data)
         eddies = TrackEddiesObservations.new_like(model, nb_obs)
         eddies.sign_type = model.sign_type
-        # Get new index to re-order observation by group
+        # Get new index to re-order observations by groups
         new_i = get_next_index(group)
         display_iteration = logger.getEffectiveLevel() == logging.INFO
         elements = eddies.elements
@@ -1477,7 +1489,7 @@ def build_dataset(self, group, raw_data=True):
 
 @njit(cache=True)
 def get_next_index(gr):
-    """Return for each obs index the new position to join all group"""
+    """Return for each obs index the new position to join all groups"""
     nb_obs_gr = bincount(gr)
     i_gr = nb_obs_gr.cumsum() - nb_obs_gr
     new_index = empty(gr.shape, dtype=uint32)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 5ee45a28..d6f3c899 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -224,7 +224,7 @@ def __eq__(self, other):
         return array_equal(self.obs, other.obs)
 
     def get_color(self, i):
-        """Return colors like a cyclic list"""
+        """Return colors as a cyclic list"""
         return self.COLORS[i % self.NB_COLORS]
 
     @property
@@ -260,7 +260,7 @@ def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
         :param str,array varname: variable to use to compute stat
         :param str,array x: variable to use to know in which bins
         :param array bins:
-        :param bool percent: normalize by sum of all bins
+        :param bool percent: normalized by sum of all bins
         :param bool mean: compute mean by bins
         :param bool nb: only count by bins
         :return: value by bins
@@ -279,7 +279,7 @@ def hist(self, varname, x, bins, percent=False, mean=False, nb=False):
 
     @staticmethod
     def box_display(value):
-        """Return value evenly spaced with few numbers"""
+        """Return values evenly spaced with few numbers"""
         return "".join([f"{v_:10.2f}" for v_ in value])
 
     def field_table(self):
@@ -437,7 +437,7 @@ def add_rotation_type(self):
 
     def circle_contour(self, only_virtual=False, factor=1):
         """
-        Set contours as a circles from radius and center data.
+        Set contours as circles from radius and center data.
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.circle_contour
         """
@@ -572,7 +572,7 @@ def iter_on(self, xname, bins=None):
             i = numba_digitize(x, bins) - 1
             # Order by bins
             i_sort = i.argsort()
-            # If in reduce mode we will translate i_sort in full array index
+            # If in reduced mode we will translate i_sort in full array index
             i_sort_ = translate[i_sort] if test else i_sort
             # Bound for each bins in sorting view
             i0, i1, _ = build_index(i[i_sort])
@@ -613,7 +613,7 @@ def align_on(self, other, var_name="time", **kwargs):
             yield indexs_self, indexs_other, b0_self, b1_self
 
     def insert_observations(self, other, index):
-        """Insert other obs in self at the index."""
+        """Insert other obs in self at the given index."""
         if not self.coherence(other):
             raise Exception("Observations with no coherence")
         insert_size = len(other.obs)
@@ -742,10 +742,10 @@ def load_from_zarr(
         """Load data from zarr.
 
         :param str,store filename: path or store to load data
-        :param bool raw_data: If true load data without apply scale_factor and add_offset
-        :param None,list(str) remove_vars: List of variable name which will be not loaded
+        :param bool raw_data: If true load data without scale_factor and add_offset
+        :param None,list(str) remove_vars: List of variable name that will be not loaded
         :param None,list(str) include_vars: If defined only this variable will be loaded
-        :param None,dict indexs: Indexs to laad only a slice of data
+        :param None,dict indexs: Indexes to load only a slice of data
         :param int buffer_size: Size of buffer used to load zarr data
         :param class_kwargs: argument to set up observations class
         :return: Obsevations selected
@@ -764,7 +764,7 @@ def load_from_zarr(
         nb_obs = getattr(h_zarr, var_list[0]).shape[0]
         dims = list(cls.zarr_dimension(filename))
         if len(dims) == 2 and nb_obs in dims:
-            # FIXME must be investigate, in zarr no dimensions name (or could be add in attr)
+            # FIXME must be investigated, in zarr no dimensions name (or could be add in attr)
             array_dim = dims[1] if nb_obs == dims[0] else dims[0]
         if indexs is not None and "obs" in indexs:
             sl = indexs["obs"]
@@ -885,7 +885,7 @@ def load_from_netcdf(
         :param bool raw_data: If true load data without apply scale_factor and add_offset
         :param None,list(str) remove_vars: List of variable name which will be not loaded
         :param None,list(str) include_vars: If defined only this variable will be loaded
-        :param None,dict indexs: Indexs to laad only a slice of data
+        :param None,dict indexs: Indexes to load only a slice of data
         :param class_kwargs: argument to set up observations class
         :return: Obsevations selected
         :return type: class
@@ -1054,7 +1054,7 @@ def propagate(
         self, previous_obs, current_obs, obs_to_extend, dead_track, nb_next, model
     ):
         """
-        Filled virtual obs (C).
+        Fill virtual obs (C).
 
         :param previous_obs: previous obs from current (A)
         :param current_obs: previous obs from virtual (B)
@@ -1166,7 +1166,7 @@ def re_reference_index(index, ref):
         :param array,int index: local index to re ref
         :param slice,array ref:
             reference could be a slice in this case we juste add start to index
-            or could be indexs and in this case we need to translate
+            or could be indexes and in this case we need to translate
         """
         if isinstance(ref, slice):
             return index + ref.start
@@ -1330,18 +1330,18 @@ def solve_conflict(cost):
     def solve_simultaneous(cost):
         """Write something (TODO)"""
         mask = ~cost.mask
-        # Count number of link by self obs and other obs
+        # Count number of links by self obs and other obs
         self_links, other_links = sum_row_column(mask)
         max_links = max(self_links.max(), other_links.max())
         if max_links > 5:
             logger.warning("One observation have %d links", max_links)
 
-        # If some obs have multiple link, we keep only one link by eddy
+        # If some obs have multiple links, we keep only one link by eddy
         eddies_separation = 1 < self_links
         eddies_merge = 1 < other_links
         test = eddies_separation.any() or eddies_merge.any()
         if test:
-            # We extract matrix which contains concflict
+            # We extract matrix that contains conflict
             obs_linking_to_self = mask[eddies_separation].any(axis=0)
             obs_linking_to_other = mask[:, eddies_merge].any(axis=1)
             i_self_keep = where(obs_linking_to_other + eddies_separation)[0]
@@ -1364,13 +1364,13 @@ def solve_simultaneous(cost):
             security_increment = 0
             while False in cost_reduce.mask:
                 if security_increment > max_iteration:
-                    # Maybe check if the size decrease if not rise an exception
+                    # Maybe check if the size decreases if not rise an exception
                     # x_i, y_i = where(-cost_reduce.mask)
                     raise Exception("To many iteration: %d" % security_increment)
                 security_increment += 1
                 i_min_value = cost_reduce.argmin()
                 i, j = floor(i_min_value / shape[1]).astype(int), i_min_value % shape[1]
-                # Set to False all link
+                # Set to False all links
                 mask[i_self_keep[i]] = False
                 mask[:, i_other_keep[j]] = False
                 cost_reduce.mask[i] = True
@@ -1384,19 +1384,19 @@ def solve_simultaneous(cost):
     @staticmethod
     def solve_first(cost, multiple_link=False):
         mask = ~cost.mask
-        # Count number of link by self obs and other obs
+        # Count number of links by self obs and other obs
         self_links = mask.sum(axis=1)
         other_links = mask.sum(axis=0)
         max_links = max(self_links.max(), other_links.max())
         if max_links > 5:
             logger.warning("One observation have %d links", max_links)
 
-        # If some obs have multiple link, we keep only one link by eddy
+        # If some obs have multiple links, we keep only one link by eddy
         eddies_separation = 1 < self_links
         eddies_merge = 1 < other_links
         test = eddies_separation.any() or eddies_merge.any()
         if test:
-            # We extract matrix which contains concflict
+            # We extract matrix that contains conflict
             obs_linking_to_self = mask[eddies_separation].any(axis=0)
             obs_linking_to_other = mask[:, eddies_merge].any(axis=1)
             i_self_keep = where(obs_linking_to_other + eddies_separation)[0]
@@ -1700,7 +1700,7 @@ def set_global_attr_netcdf(self, h_nc):
 
     def mask_from_polygons(self, polygons):
         """
-        Return mask for all observation in one of polygons list
+        Return mask for all observations in one of polygons list
 
         :param list((array,array)) polygons: list of x/y array which be used to identify observations
         """
@@ -1724,7 +1724,7 @@ def extract_with_area(self, area, **kwargs):
 
         :param dict area: 4 coordinates in a dictionary to specify bounding box (lower left corner and upper right corner)
         :param dict kwargs: look at :py:meth:`extract_with_mask`
-        :return: Return all eddy tracks which are in bounds
+        :return: Return all eddy trajetories in bounds
         :rtype: EddiesObservations
 
         .. code-block:: python
@@ -1745,7 +1745,7 @@ def time_sub_sample(self, t0, time_step):
         """
         Time sub sampling
 
-        :param int,float t0: reference time which will be keep
+        :param int,float t0: reference time that will be keep
         :param int,float time_step: keep every observation spaced by time_step
         """
         mask = (self.time - t0) % time_step == 0
@@ -1779,7 +1779,7 @@ def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str,array,None name:
             variable used to fill the contour, if None all elements have the same color
-        :param float,None ref: if define use like west bound
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param float factor: multiply value by
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.scatter`
         :return: scatter mappable
@@ -1811,7 +1811,7 @@ def filled(
         """
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str,array,None varname: variable used to fill the contours, or an array of same size than obs
-        :param float,None ref: if define use like west bound?
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param bool intern: if True draw speed contours instead of effective contours
         :param str cmap: matplotlib colormap name
         :param int,None lut: Number of colors in the colormap
@@ -2271,7 +2271,7 @@ def period(self):
 
     @property
     def nb_days(self):
-        """Return period days cover by dataset
+        """Return period in days covered by the dataset
 
         :return: Number of days
         :rtype: int
@@ -2282,7 +2282,7 @@ def nb_days(self):
 @njit(cache=True)
 def grid_count_(grid, i, j):
     """
-    Add one to each index
+    Add 1 to each index
     """
     for i_, j_ in zip(i, j):
         grid[i_, j_] += 1
@@ -2305,7 +2305,7 @@ def grid_count_pixel_in(
     y_c,
 ):
     """
-    Count how many time a pixel is used.
+    Count how many times a pixel is used.
 
     :param array grid:
     :param array x: x for all contour
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 5902462d..ad1847d2 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -77,7 +77,7 @@ def iter_track(self):
             yield self.index(slice(i0, i0 + nb))
 
     def get_missing_indices(self, dt):
-        """find indices where observations is missing.
+        """Find indexes where observations are missing.
 
         :param int,float dt: theorical delta time between 2 observations
         """
@@ -90,7 +90,7 @@ def get_missing_indices(self, dt):
         )
 
     def fix_next_previous_obs(self):
-        """function used after 'insert_virtual', to correct next_obs and
+        """Function used after 'insert_virtual', to correct next_obs and
         previous obs.
         """
 
@@ -99,7 +99,7 @@ def fix_next_previous_obs(self):
     @property
     def nb_tracks(self):
         """
-        Will count and send number of track
+        Count and return number of track
         """
         if self.__nb_track is None:
             if len(self) == 0:
@@ -150,7 +150,7 @@ def add_distance(self):
 
     def distance_to_next(self):
         """
-        :return: array of distance in m, 0 when next obs if from another track
+        :return: array of distance in m, 0 when next obs is from another track
         :rtype: array
         """
         d = distance(
@@ -166,7 +166,7 @@ def distance_to_next(self):
         return d_
 
     def normalize_longitude(self):
-        """Normalize all longitude
+        """Normalize all longitudes
 
         Normalize longitude field and in the same range :
         - longitude_max
@@ -217,7 +217,7 @@ def elements(self):
         return list(set(elements))
 
     def set_global_attr_netcdf(self, h_nc):
-        """Set global attr"""
+        """Set global attributes"""
         h_nc.title = "Cyclonic" if self.sign_type == -1 else "Anticyclonic"
         h_nc.Metadata_Conventions = "Unidata Dataset Discovery v1.0"
         h_nc.comment = "Surface product; mesoscale eddies"
@@ -239,9 +239,9 @@ def extract_with_period(self, period, **kwargs):
         """
         Extract within a time period
 
-        :param (int,int) period: two dates to define the period, must be specify from 1/1/1950
+        :param (int,int) period: two dates to define the period, must be specified from 1/1/1950
         :param dict kwargs: look at :py:meth:`extract_with_mask`
-        :return: Return all eddy tracks which are in bounds
+        :return: Return all eddy tracks in period
         :rtype: TrackEddiesObservations
 
         .. minigallery:: py_eddy_tracker.TrackEddiesObservations.extract_with_period
@@ -264,9 +264,9 @@ def get_azimuth(self, equatorward=False):
         """
         Return azimuth for each track.
 
-        Azimuth is computed with first and last observation
+        Azimuth is computed with first and last observations
 
-        :param bool equatorward: If True,  Poleward are positive and equatorward negative
+        :param bool equatorward: If True, Poleward is positive and Equatorward negative
         :rtype: array
         """
         i0, nb = self.index_from_track, self.nb_obs_by_track
@@ -427,7 +427,7 @@ def extract_with_length(self, bounds):
             track_mask = self.nb_obs_by_track >= b0
         else:
             logger.warning("No valid value for bounds")
-            raise Exception("One bounds must be positiv")
+            raise Exception("One bound must be positive")
         return self.extract_with_mask(track_mask.repeat(self.nb_obs_by_track))
 
     def empty_dataset(self):
@@ -474,7 +474,7 @@ def extract_with_mask(
         :param bool full_path: extract the full trajectory if only one part is selected
         :param bool remove_incomplete: delete trajectory if not fully selected
         :param bool compress_id: resample trajectory number to use a smaller range
-        :param bool reject_virtual: if only virtual are selected, the trajectory is removed
+        :param bool reject_virtual: if only virtuals are selected, the trajectory is removed
         :return: same object with the selected observations
         :rtype: self.__class__
         """
@@ -525,10 +525,10 @@ def shape_polygon(self, intern=False):
 
     def display_shape(self, ax, ref=None, intern=False, **kwargs):
         """
-        This function will draw the shape of each trajectory
+        This function draws the shape of each trajectory
 
         :param matplotlib.axes.Axes ax: ax to draw
-        :param float,int ref: if defined all coordinates will be wrapped with ref like west boundary
+        :param float,int ref: if defined, all coordinates are wrapped with ref as western boundary
         :param bool intern: If True use speed contour instead of effective contour
         :param dict kwargs: keyword arguments for Axes.plot
         :return: matplotlib mappable
@@ -557,7 +557,7 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
         :param self other: Atlas to compare
         :param int nb_obs_min: Minimal number of overlap for one trajectory
         :param dict kwargs: keyword arguments for match function
-        :return: return other atlas reduce to common track with self
+        :return: return other atlas reduced to common trajectories with self
 
         .. warning::
             It could be a costly operation for huge dataset
@@ -585,7 +585,7 @@ def plot(self, ax, ref=None, **kwargs):
         This function will draw path of each trajectory
 
         :param matplotlib.axes.Axes ax: ax to draw
-        :param float,int ref: if defined, all coordinates will be wrapped with ref like west boundary
+        :param float,int ref: if defined, all coordinates are wrapped with ref as western boundary
         :param dict kwargs: keyword arguments for Axes.plot
         :return: matplotlib mappable
         """
@@ -791,10 +791,10 @@ def track_loess_filter(half_window, x, y, track):
     """
     Apply a loess filter on y field
 
-    :param int,float window: parameter of smoother
+    :param int,float half_window: parameter of smoother
     :param array_like x: must be growing for each track but could be irregular
     :param array_like y: field to smooth
-    :param array_like track: field which allow to separate path
+    :param array_like track: field that allows to separate path
 
     :return: Array smoothed
     :rtype: array_like

From 08d7dc80d5b9ce4f7c1845846215d8e5bdc48fb5 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Wed, 7 Apr 2021 22:18:26 +0200
Subject: [PATCH 343/441] indexes -> indices (#80)

---
 src/py_eddy_tracker/dataset/grid.py             | 2 +-
 src/py_eddy_tracker/generic.py                  | 2 +-
 src/py_eddy_tracker/observations/network.py     | 8 ++++----
 src/py_eddy_tracker/observations/observation.py | 6 +++---
 src/py_eddy_tracker/observations/tracking.py    | 4 ++--
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 14fe9ae3..11227475 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1275,7 +1275,7 @@ def get_step_in_km(self, lat, wave_length):
         min_wave_length = max(step_x_km, step_y_km) * 2
         if wave_length < min_wave_length:
             logger.error(
-                "Wave_length too short for resolution, must be > %d km",
+                "wave_length too short for resolution, must be > %d km",
                 ceil(min_wave_length),
             )
             raise Exception()
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 6689c8e5..530c2136 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -50,7 +50,7 @@ def count_consecutive(mask):
 @njit(cache=True)
 def reverse_index(index, nb):
     """
-    Compute a list of indexes, which are not in index.
+    Compute a list of indices, which are not in index.
 
     :param array index: index of group which will be set to False
     :param array nb: Count for each group
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index c21659f0..a2fe8a0d 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -135,7 +135,7 @@ def find_segments_relative(self, obs, stopped=None, order=1):
             return nw.relatives([i_obs, i_stopped], order=order)
 
     def get_missing_indices(self, dt):
-        """Find indexes where observations are missing.
+        """Find indices where observations are missing.
 
         As network have all untracked observation in tracknumber `self.NOGROUP`,
             we don't compute them
@@ -215,7 +215,7 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
     @classmethod
     def from_split_network(cls, group_dataset, indexs, **kwargs):
         """
-        Build a NetworkObservations object with Group dataset and indexes
+        Build a NetworkObservations object with Group dataset and indices
 
         :param TrackEddiesObservations group_dataset: Group dataset
         :param indexs: result from split_network
@@ -346,7 +346,7 @@ def find_link(self, i_observations, forward=True, backward=False):
         where water from obs `i_observation` could come from
 
         :param int,iterable(int) i_observation:
-            indexes of observation. Can be
+            indices of observation. Can be
             int, or iterable of int.
         :param bool forward, backward:
             if forward, search observations after obs.
@@ -496,7 +496,7 @@ def relatives(self, obs, order=2):
         """
         Extract the segments at a certain order from multiple observations.
 
-        :param iterable,int obs: indexes of observation for relatives computation.
+        :param iterable,int obs: indices of observation for relatives computation.
             Can be one observation (int) or collection of observations (iterable(int))
         :param int order: order of relatives wanted.
             0 means only observations in obs, 1 means direct relatives (1 interaction event), ...
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d6f3c899..173f6c56 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -594,7 +594,7 @@ def iter_on(self, xname, bins=None):
 
     def align_on(self, other, var_name="time", **kwargs):
         """
-        Align the time indexes of two datasets.
+        Align the time indices of two datasets.
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.align_on
         """
@@ -1135,7 +1135,7 @@ def match(
         :param bool intern: if True, speed contour is used (default = effective contour)
         :param float cmin: 0 < cmin < 1, return only couples with score >= cmin
         :param dict kwargs: look at :py:meth:`vertice_overlap`
-        :return: return the indexes of the eddies in self coupled with eddies in
+        :return: return the indices of the eddies in self coupled with eddies in
             other and their associated score
         :rtype: (array(int), array(int), array(float))
 
@@ -1166,7 +1166,7 @@ def re_reference_index(index, ref):
         :param array,int index: local index to re ref
         :param slice,array ref:
             reference could be a slice in this case we juste add start to index
-            or could be indexes and in this case we need to translate
+            or could be indices and in this case we need to translate
         """
         if isinstance(ref, slice):
             return index + ref.start
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index ad1847d2..b632270c 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -77,7 +77,7 @@ def iter_track(self):
             yield self.index(slice(i0, i0 + nb))
 
     def get_missing_indices(self, dt):
-        """Find indexes where observations are missing.
+        """Find indices where observations are missing.
 
         :param int,float dt: theorical delta time between 2 observations
         """
@@ -618,7 +618,7 @@ def split_network(self, intern=True, **kwargs):
         # Initialisation
         # To store the id of the segments, the backward and forward cost associations
         ids["track"], ids["previous_cost"], ids["next_cost"] = 0, 0, 0
-        # To store the indexes of the backward and forward observations associated
+        # To store the indices of the backward and forward observations associated
         ids["previous_obs"], ids["next_obs"] = -1, -1
         # At the end, ids["previous_obs"] == -1 means the start of a non-split segment
         # and ids["next_obs"] == -1 means the end of a non-merged segment

From 4bf81470ee01603612f6f23063ac498a7d1877fe Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 12 Apr 2021 23:31:40 +0200
Subject: [PATCH 344/441] Add informations about speed profile in an example

---
 examples/01_general_things/pet_storage.py     | 57 +++++++++++++++++--
 .../01_general_things/pet_storage.ipynb       | 57 ++++++++++++++++++-
 2 files changed, 105 insertions(+), 9 deletions(-)

diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index 9f0ec61e..ccd01f1c 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -16,8 +16,10 @@
 """
 
 import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
+from numpy import arange, outer
 
-from py_eddy_tracker.data import get_demo_path, get_remote_demo_sample
+from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.observation import EddiesObservations, Table
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
@@ -58,6 +60,53 @@
 # ---------------
 # All contours are stored on the same number of points, and are resampled if needed with an algorithm to be stored as objects
 
+# %%
+# Speed profile storage
+# ---------------------
+# Speed profile is an interpolation of speed mean along each contour.
+# For each contour included in eddy, we compute mean of speed along the contour,
+# and after we interpolate speed mean array on a fixed size array.
+#
+# Several field are available to understand "uavg_profile" :
+#  0. - num_contours : Number of contour in eddies, must be equal to amplitude divide by isoline step
+#  1. - height_inner_contour : height of inner contour used
+#  2. - height_max_speed_contour : height of max speed contour used
+#  3. - height_external_contour : height of outter contour used
+#
+# Last value of "uavg_profile" is for inner contour and first value for outter contour.
+
+# Observations selection of "uavg_profile" with high number of contour(Eddy with high amplitude)
+e = eddies_collections.extract_with_mask(eddies_collections.num_contours > 15)
+
+# %%
+
+# Raw display of profiles with more than 15 contours
+ax = plt.subplot(111)
+_ = ax.plot(e.uavg_profile.T, lw=0.5)
+
+# %%
+
+# Profile from inner to outter
+ax = plt.subplot(111)
+ax.plot(e.uavg_profile[:, ::-1].T, lw=0.5)
+_ = ax.set_xlabel("From inner to outter contour"), ax.set_ylabel("Speed (m/s)")
+
+# %%
+
+# If we normalize indice of contour to set speed contour to 1 and inner contour to 0
+ax = plt.subplot(111)
+h_in = e.height_inner_contour
+h_s = e.height_max_speed_contour
+h_e = e.height_external_contour
+r = (h_e - h_in) / (h_s - h_in)
+nb_pt = e.uavg_profile.shape[1]
+# Create an x array for each profile
+x = outer(arange(nb_pt) / nb_pt, r)
+
+ax.plot(x, e.uavg_profile[:, ::-1].T, lw=0.5)
+_ = ax.set_xlabel("From inner to outter contour"), ax.set_ylabel("Speed (m/s)")
+
+
 # %%
 # Trajectories
 # ------------
@@ -86,11 +135,7 @@
 # - next_obs : Index of the next observation in the full dataset, if -1 there are no next observation (the segment ends)
 # - previous_cost : Result of the cost function (1 is a good association, 0 is bad) with previous observation
 # - next_cost : Result of the cost function (1 is a good association, 0 is bad) with next observation
-eddies_network = NetworkObservations.load_file(
-    get_remote_demo_sample(
-        "eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc"
-    )
-)
+eddies_network = NetworkObservations.load_file(get_demo_path("network_med.nc"))
 eddies_network.field_table()
 
 # %%
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index 4b4a6630..250591ee 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import py_eddy_tracker_sample\n\nfrom py_eddy_tracker.data import get_demo_path, get_remote_demo_sample\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.observation import EddiesObservations, Table\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+        "import py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom numpy import arange, outer\n\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.observations.observation import EddiesObservations, Table\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
       ]
     },
     {
@@ -108,6 +108,57 @@
         "## Contour storage\nAll contours are stored on the same number of points, and are resampled if needed with an algorithm to be stored as objects\n\n"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Speed profile storage\nSpeed profile is an interpolation of speed mean along each contour.\nFor each contour included in eddy, we compute mean of speed along the contour,\nand after we interpolate speed mean array on a fixed size array.\n\nSeveral field are available to understand \"uavg_profile\" :\n 0. - num_contours : Number of contour in eddies, must be equal to amplitude divide by isoline step\n 1. - height_inner_contour : height of inner contour used\n 2. - height_max_speed_contour : height of max speed contour used\n 3. - height_external_contour : height of outter contour used\n\nLast value of \"uavg_profile\" is for inner contour and first value for outter contour.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Observations selection of \"uavg_profile\" with high number of contour(Eddy with high amplitude)\ne = eddies_collections.extract_with_mask(eddies_collections.num_contours > 15)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Raw display of profiles with more than 15 contours\nax = plt.subplot(111)\n_ = ax.plot(e.uavg_profile.T, lw=0.5)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Profile from inner to outter\nax = plt.subplot(111)\nax.plot(e.uavg_profile[:, ::-1].T, lw=0.5)\n_ = ax.set_xlabel(\"From inner to outter contour\"), ax.set_ylabel(\"Speed (m/s)\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# If we normalize indice of contour to set speed contour to 1 and inner contour to 0\nax = plt.subplot(111)\nh_in = e.height_inner_contour\nh_s = e.height_max_speed_contour\nh_e = e.height_external_contour\nr = (h_e - h_in) / (h_s - h_in)\nnb_pt = e.uavg_profile.shape[1]\n# Create an x array for each profile\nx = outer(arange(nb_pt) / nb_pt, r)\n\nax.plot(x, e.uavg_profile[:, ::-1].T, lw=0.5)\n_ = ax.set_xlabel(\"From inner to outter contour\"), ax.set_ylabel(\"Speed (m/s)\")"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -141,7 +192,7 @@
       },
       "outputs": [],
       "source": [
-        "eddies_network = NetworkObservations.load_file(\n    get_remote_demo_sample(\n        \"eddies_med_adt_allsat_dt2018_err70_filt500_order1/Anticyclonic_network.nc\"\n    )\n)\neddies_network.field_table()"
+        "eddies_network = NetworkObservations.load_file(get_demo_path(\"network_med.nc\"))\neddies_network.field_table()"
       ]
     },
     {
@@ -179,7 +230,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,

From b91c786b0045018115ff6596e05bf7329ccc3cf4 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 28 Apr 2021 21:55:48 +0200
Subject: [PATCH 345/441] Add information about method

---
 examples/07_cube_manipulation/pet_fsle_med.py |  4 +
 examples/16_network/pet_ioannou_2017_case.py  | 10 +-
 .../01_general_things/pet_storage.ipynb       |  2 +-
 .../07_cube_manipulation/pet_fsle_med.ipynb   |  4 +-
 .../14_generic_tools/pet_fit_contour.ipynb    | 12 +--
 .../16_network/pet_follow_particle.ipynb      |  6 +-
 .../16_network/pet_ioannou_2017_case.ipynb    | 92 ++++++++++++++++++-
 7 files changed, 112 insertions(+), 18 deletions(-)

diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index 46c5fdcc..b4a51265 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -26,6 +26,10 @@
 # %%
 # ADT in med
 # ----------
+# :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is
+# made for data stores in time cube, you could use also 
+# :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to
+# load data-cube from multiple file.
 c = GridCollection.from_netcdf_cube(
     get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
     "longitude",
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 2bffbb31..768f0c88 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -21,7 +21,7 @@
 from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
 
-from py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates
+from py_eddy_tracker.generic import coordinates_to_local
 from py_eddy_tracker.poly import fit_ellipse
 
 # %%
@@ -217,22 +217,22 @@ def update_axes(ax, mappable=None):
 # Theta
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, theta_, vmin=-pi / 2, vmax=pi / 2, cmap="hsv")
-cb = update_axes(ax, m["scatter"])
+_ = update_axes(ax, m["scatter"])
 
 # %%
 # a
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, a_ * 1e-3, vmin=0, vmax=80, cmap="Spectral_r")
-cb = update_axes(ax, m["scatter"])
+_ = update_axes(ax, m["scatter"])
 
 # %%
 # b
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, b_ * 1e-3, vmin=0, vmax=80, cmap="Spectral_r")
-cb = update_axes(ax, m["scatter"])
+_ = update_axes(ax, m["scatter"])
 
 # %%
 # a/b
 ax = timeline_axes()
 m = close_to_i3.scatter_timeline(ax, a_ / b_, vmin=1, vmax=2, cmap="Spectral_r")
-cb = update_axes(ax, m["scatter"])
+_ = update_axes(ax, m["scatter"])
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index 250591ee..fa8d1a55 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -40,7 +40,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Eddies files (zarr or netcdf) could be loaded with ```load_file``` method:\n\n"
+        "Eddies files (zarr or netcdf) can be loaded with ```load_file``` method:\n\n"
       ]
     },
     {
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index e821df6d..4f2e1467 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## ADT in med\n\n"
+        "## ADT in med\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also \n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
       ]
     },
     {
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
index 4cec72b2..5306fa0c 100644
--- a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numpy import cos, linspace, radians, sin\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import fit_circle_, fit_ellips"
+        "from matplotlib import pyplot as plt\nfrom numpy import cos, linspace, radians, sin\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import coordinates_to_local, local_to_coordinates\nfrom py_eddy_tracker.observations.observation import EddiesObservations\nfrom py_eddy_tracker.poly import fit_circle_, fit_ellipse"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Function to draw circle or ellips from parameter\n\n"
+        "Function to draw circle or ellipse from parameter\n\n"
       ]
     },
     {
@@ -62,14 +62,14 @@
       },
       "outputs": [],
       "source": [
-        "def build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)\n\n\ndef build_ellips(x0, y0, a, b, theta):\n    angle = radians(linspace(0, 360, 50))\n    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)\n    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)\n    return local_to_coordinates(x, y, x0, y0)"
+        "def build_circle(x0, y0, r):\n    angle = radians(linspace(0, 360, 50))\n    x_norm, y_norm = cos(angle), sin(angle)\n    return local_to_coordinates(x_norm * r, y_norm * r, x0, y0)\n\n\ndef build_ellipse(x0, y0, a, b, theta):\n    angle = radians(linspace(0, 360, 50))\n    x = a * cos(theta) * cos(angle) - b * sin(theta) * sin(angle)\n    y = a * sin(theta) * cos(angle) + b * cos(theta) * sin(angle)\n    return local_to_coordinates(x, y, x0, y0)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Plot fitted circle or ellips on stored contour\n\n"
+        "Plot fitted circle or ellipse on stored contour\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "xs, ys = a.contour_lon_s, a.contour_lat_s\n\nfig = plt.figure(figsize=(15, 15))\n\nj = 1\nfor i in range(0, 800, 30):\n    x, y = xs[i], ys[i]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x, y, x0_, y0_)\n    ax = fig.add_subplot(4, 4, j)\n    ax.grid(), ax.set_aspect(\"equal\")\n    ax.plot(x, y, label=\"store\", color=\"black\")\n    x0, y0, a, b, theta = fit_ellips(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_ellips(x0, y0, a, b, theta), label=\"ellips\", color=\"green\")\n    x0, y0, radius, shape_error = fit_circle_(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_circle(x0, y0, radius), label=\"circle\", color=\"red\", lw=0.5)\n    if j == 16:\n        break\n    j += 1"
+        "xs, ys = a.contour_lon_s, a.contour_lat_s\n\nfig = plt.figure(figsize=(15, 15))\n\nj = 1\nfor i in range(0, 800, 30):\n    x, y = xs[i], ys[i]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x, y, x0_, y0_)\n    ax = fig.add_subplot(4, 4, j)\n    ax.grid(), ax.set_aspect(\"equal\")\n    ax.plot(x, y, label=\"store\", color=\"black\")\n    x0, y0, a, b, theta = fit_ellipse(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_ellipse(x0, y0, a, b, theta), label=\"ellipse\", color=\"green\")\n    x0, y0, radius, shape_error = fit_circle_(x_, y_)\n    x0, y0 = local_to_coordinates(x0, y0, x0_, y0_)\n    ax.plot(*build_circle(x0, y0, radius), label=\"circle\", color=\"red\", lw=0.5)\n    if j == 16:\n        break\n    j += 1"
       ]
     }
   ],
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 30c85a49..28d0048d 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which are not used but consumes same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -120,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "def advect(x, y, c, t0, delta_t):\n    \"\"\"\n    Advect particle from t0 to t0 + delta_t, with data cube.\n    \"\"\"\n    kw = dict(nb_step=6, time_step=86400 / 6)\n    if delta_t < 0:\n        kw[\"backward\"] = True\n        delta_t = -delta_t\n    p = c.advect(x, y, \"u\", \"v\", t_init=t0, **kw)\n    for _ in range(delta_t):\n        t, x, y = p.__next__()\n    return t, x, y\n\n\ndef particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):\n    # Obs from initial time\n    m_start = eddies.time == t_start\n    e = eddies.extract_with_mask(m_start)\n    # to be able to get global index\n    translate_start = where(m_start)[0]\n    # Identify particle in eddies(only in core)\n    i_start = e.contains(x, y, intern=True)\n    m = i_start != -1\n    x, y, i_start = x[m], y[m], i_start[m]\n    # Advect\n    t_end, x, y = advect(x, y, c, t_start, **kwargs)\n    # eddies at last date\n    m_end = eddies.time == t_end / 86400\n    e_end = eddies.extract_with_mask(m_end)\n    # to be able to get global index\n    translate_end = where(m_end)[0]\n    # Id eddies for each alive particle(in core and extern)\n    i_end = e_end.contains(x, y)\n    # compute matrix and filled target array\n    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)\n\n\n@njit(cache=True)\ndef get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):\n    nb_start, nb_end = translate_start.size, translate_end.size\n    # Matrix which will store count for every couple\n    count = zeros((nb_start, nb_end), dtype=nb_types.int32)\n    # Number of particle in each origin observation\n    ref = zeros(nb_start, dtype=nb_types.int32)\n    # For each particle\n    for i in range(i_start.size):\n        i_end_ = i_end[i]\n        i_start_ = i_start[i]\n        if i_end_ != -1:\n            count[i_start_, i_end_] += 1\n        ref[i_start_] += 1\n    for i in range(nb_start):\n        for j in range(nb_end):\n            pct_ = count[i, j]\n            # If there are particle from i to j\n            if pct_ != 0:\n                # Get percent\n                pct_ = pct_ / ref[i] * 100.0\n                # Get indices in full dataset\n                i_, j_ = translate_start[i], translate_end[j]\n                pct_0 = pct[i_, 0]\n                if pct_ > pct_0:\n                    pct[i_, 1] = pct_0\n                    pct[i_, 0] = pct_\n                    i_target[i_, 1] = i_target[i_, 0]\n                    i_target[i_, 0] = j_\n                elif pct_ > pct[i_, 1]:\n                    pct[i_, 1] = pct_\n                    i_target[i_, 1] = j_\n    return i_target, pct"
+        "def advect(x, y, c, t0, delta_t):\n    \"\"\"\n    Advect particle from t0 to t0 + delta_t, with data cube.\n    \"\"\"\n    kw = dict(nb_step=6, time_step=86400 / 6)\n    if delta_t < 0:\n        kw[\"backward\"] = True\n        delta_t = -delta_t\n    p = c.advect(x, y, \"u\", \"v\", t_init=t0, **kw)\n    for _ in range(delta_t):\n        t, x, y = p.__next__()\n    return t, x, y\n\n\ndef particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):\n    # Obs from initial time\n    m_start = eddies.time == t_start\n    e = eddies.extract_with_mask(m_start)\n    # to be able to get global index\n    translate_start = where(m_start)[0]\n    # Identify particle in eddies (only in core)\n    i_start = e.contains(x, y, intern=True)\n    m = i_start != -1\n    x, y, i_start = x[m], y[m], i_start[m]\n    # Advect\n    t_end, x, y = advect(x, y, c, t_start, **kwargs)\n    # eddies at last date\n    m_end = eddies.time == t_end / 86400\n    e_end = eddies.extract_with_mask(m_end)\n    # to be able to get global index\n    translate_end = where(m_end)[0]\n    # Id eddies for each alive particle (in core and extern)\n    i_end = e_end.contains(x, y)\n    # compute matrix and fill target array\n    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)\n\n\n@njit(cache=True)\ndef get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):\n    nb_start, nb_end = translate_start.size, translate_end.size\n    # Matrix which will store count for every couple\n    count = zeros((nb_start, nb_end), dtype=nb_types.int32)\n    # Number of particles in each origin observation\n    ref = zeros(nb_start, dtype=nb_types.int32)\n    # For each particle\n    for i in range(i_start.size):\n        i_end_ = i_end[i]\n        i_start_ = i_start[i]\n        if i_end_ != -1:\n            count[i_start_, i_end_] += 1\n        ref[i_start_] += 1\n    for i in range(nb_start):\n        for j in range(nb_end):\n            pct_ = count[i, j]\n            # If there are particles from i to j\n            if pct_ != 0:\n                # Get percent\n                pct_ = pct_ / ref[i] * 100.0\n                # Get indices in full dataset\n                i_, j_ = translate_start[i], translate_end[j]\n                pct_0 = pct[i_, 0]\n                if pct_ > pct_0:\n                    pct[i_, 1] = pct_0\n                    pct[i_, 0] = pct_\n                    i_target[i_, 1] = i_target[i_, 0]\n                    i_target[i_, 0] = j_\n                elif pct_ > pct[i_, 1]:\n                    pct[i_, 1] = pct_\n                    i_target[i_, 1] = j_\n    return i_target, pct"
       ]
     },
     {
@@ -169,7 +169,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.9.2"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 743b753f..9b3d40d6 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations"
+        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where, array, pi\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom py_eddy_tracker.poly import fit_ellipse"
       ]
     },
     {
@@ -230,6 +230,96 @@
       "source": [
         "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, \"shape_error_e\", vmin=14, vmax=70, **kw)\ncb = update_axes(ax, m[\"scatter\"])\ncb.set_label(\"Effective shape error\")"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Rotation angle\nFor each obs, fit an ellipse to the contour, with theta the angle from the x-axis,\na the semi ax in x direction and b the semi ax in y dimension\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "theta_ = list()\na_ = list()\nb_ = list()\nfor obs in close_to_i3:\n    x, y = obs[\"contour_lon_s\"], obs[\"contour_lat_s\"]\n    x0_, y0_ = x.mean(), y.mean()\n    x_, y_ = coordinates_to_local(x, y, x0_, y0_)\n    x0, y0, a, b, theta = fit_ellipse(x_, y_)\n    theta_.append(theta)\n    a_.append(a)\n    b_.append(b)\na_ = array(a_)\nb_ = array(b_)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Theta\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, theta_, vmin=-pi / 2, vmax=pi / 2, cmap=\"hsv\")\n_ = update_axes(ax, m[\"scatter\"])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "a\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, a_ * 1e-3, vmin=0, vmax=80, cmap=\"Spectral_r\")\n_ = update_axes(ax, m[\"scatter\"])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "b\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, b_ * 1e-3, vmin=0, vmax=80, cmap=\"Spectral_r\")\n_ = update_axes(ax, m[\"scatter\"])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "a/b\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = timeline_axes()\nm = close_to_i3.scatter_timeline(ax, a_ / b_, vmin=1, vmax=2, cmap=\"Spectral_r\")\n_ = update_axes(ax, m[\"scatter\"])"
+      ]
     }
   ],
   "metadata": {

From 81eaf1574cf0170527367cd21e887b3789b236c2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 12 May 2021 14:30:40 +0200
Subject: [PATCH 346/441] add coherence function, and minor corrections

add shift_files to GridCollection
change heigth to height
correct FIXME in function documentation
correct tests
---
 src/py_eddy_tracker/dataset/grid.py           |  10 +
 src/py_eddy_tracker/observations/network.py   | 311 +++++++++++++++++-
 .../observations/observation.py               |   2 +-
 3 files changed, 308 insertions(+), 15 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 11227475..ea602cfa 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2264,6 +2264,16 @@ def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None
             new.datasets.append((t, d))
         return new
 
+    def shift_files(self, t, filename, x_name, y_name, indexs, heigth):
+        """Add next file to the list and remove the oldest"""
+
+        self.datasets = self.datasets[1:]
+
+        d = RegularGridDataset(filename, x_name, y_name, indexs=indexs)
+        if heigth is not None:
+            d.add_uv(heigth)
+        self.datasets.append((t, d))
+
     def interp(self, grid_name, t, lons, lats, method="bilinear"):
         """
         Compute z over lons, lats
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 58f926a1..5fe0727a 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,6 +6,7 @@
 from glob import glob
 
 from numba import njit
+from numba import types as nb_types
 from numpy import (
     arange,
     array,
@@ -20,13 +21,16 @@
     unique,
     where,
     zeros,
+    meshgrid,
 )
+import zarr
 
 from ..generic import build_index, wrap_longitude
-from ..poly import bbox_intersection, vertice_overlap
+from ..poly import bbox_intersection, vertice_overlap, group_obs
 from .groups import GroupEddiesObservations, get_missing_indices
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
+from ..dataset.grid import GridCollection
 
 logger = logging.getLogger("pet")
 
@@ -97,6 +101,109 @@ def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
         previous_obs[i_o + 1] = i_o
 
 
+def advect(x, y, c, t0, delta_t):
+    """
+    Advect particle from t0 to t0 + delta_t, with data cube.
+
+    :param np.array(float) x: longitude of particles
+    :param np.array(float) y: latitude  of particles
+    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :param int t0: julian day of advection start
+    :param int delta_t: number of days to advect
+    """
+
+    kw = dict(nb_step=6, time_step=86400 / 6)
+    if delta_t < 0:
+        kw["backward"] = True
+        delta_t = -delta_t
+    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
+    for _ in range(delta_t):
+        t, x, y = p.__next__()
+    return t, x, y
+
+
+def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
+    """Select particles within eddies, advect them, return target observation and associated percentages
+
+    :param np.array(float) x: longitude of particles
+    :param np.array(float) y: latitude  of particles
+    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :param NetworkObservations eddies: NetworkObservations considered
+    :param int t_start: julian day of the advection
+    :param np.array(int) i_target: corresponding obs where particles are advected
+    :param np.array(int) pct: corresponding percentage of avected particles
+    :params dict kwargs: dict of params given to `advect`
+    """
+
+    # Obs from initial time
+    m_start = eddies.time == t_start
+
+    e = eddies.extract_with_mask(m_start)
+    # to be able to get global index
+    translate_start = where(m_start)[0]
+    # Identify particle in eddies (only in core)
+    i_start = e.contains(x, y, intern=True)
+    m = i_start != -1
+
+    x, y, i_start = x[m], y[m], i_start[m]
+    # Advect
+    t_end, x, y = advect(x, y, c, t_start, **kwargs)
+    # eddies at last date
+    m_end = eddies.time == t_end / 86400
+    e_end = eddies.extract_with_mask(m_end)
+    # to be able to get global index
+    translate_end = where(m_end)[0]
+    # Id eddies for each alive particle (in core and extern)
+    i_end = e_end.contains(x, y)
+    # compute matrix and fill target array
+    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
+
+
+@njit(cache=True)
+def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
+    """Compute target observation and associated percentages
+
+    :param np.array(int) i_start: indices of associated contours at starting advection day
+    :param np.array(int) i_end: indices of associated contours after advection
+    :param np.array(int) translate_start: corresponding global indices at starting advection day
+    :param np.array(int) translate_end: corresponding global indices after advection
+    :param np.array(int) i_target: corresponding obs where particles are advected
+    :param np.array(int) pct: corresponding percentage of avected particles
+    """
+
+    nb_start, nb_end = translate_start.size, translate_end.size
+    # Matrix which will store count for every couple
+    count = zeros((nb_start, nb_end), dtype=nb_types.int32)
+    # Number of particles in each origin observation
+    ref = zeros(nb_start, dtype=nb_types.int32)
+    # For each particle
+    for i in range(i_start.size):
+        i_end_ = i_end[i]
+        i_start_ = i_start[i]
+        if i_end_ != -1:
+            count[i_start_, i_end_] += 1
+        ref[i_start_] += 1
+    for i in range(nb_start):
+        for j in range(nb_end):
+            pct_ = count[i, j]
+            # If there are particles from i to j
+            if pct_ != 0:
+                # Get percent
+                pct_ = pct_ / ref[i] * 100.0
+                # Get indices in full dataset
+                i_, j_ = translate_start[i], translate_end[j]
+                pct_0 = pct[i_, 0]
+                if pct_ > pct_0:
+                    pct[i_, 1] = pct_0
+                    pct[i_, 0] = pct_
+                    i_target[i_, 1] = i_target[i_, 0]
+                    i_target[i_, 0] = j_
+                elif pct_ > pct[i_, 1]:
+                    pct[i_, 1] = pct_
+                    i_target[i_, 1] = j_
+    return i_target, pct
+
+
 class NetworkObservations(GroupEddiesObservations):
 
     __slots__ = ("_index_network",)
@@ -109,17 +216,16 @@ def __init__(self, *args, **kwargs):
 
     def find_segments_relative(self, obs, stopped=None, order=1):
         """
-        Find all relative segments linked with merging/splitting events at a specific order.
+        Find all relative segments from obs linked with merging/splitting events at a specific order.
 
-        :param int obs: index of event after the event
-        :param int stopped: index of event before the event
+        :param int obs: index of observation after the event
+        :param int stopped: index of observation before the event
         :param int order: order of relatives accepted
 
         :return: all relative segments
         :rtype: EddiesObservations
         """
 
-        # FIXME : double "event" in the description, please clarify (event = chosen obs?)
 
         # extraction of network where the event is
         network_id = self.tracks[obs]
@@ -247,23 +353,17 @@ def infos(self, label=""):
     def correct_close_events(self, nb_days_max=20):
         """
         Transform event where
-        segment A split to B, then A merge into B
+        segment A splits from segment B, then x days after segment B merges with A
 
         to
 
-        segment A split to B, then B merge to A
+        segment A splits from segment B then x days after segment A merges with B (B will be longer)
 
-        these events are filtered with `nb_days_max`, which the event have to take place in less than `nb_days_max`
+        These events have to last less than `nb_days_max` to be changed.
 
         :param float nb_days_max: maximum time to search for splitting-merging event
         """
 
-        # FIXME : we want to change
-        # segment A splits from segment B, then x days after segment B merges with A
-        # to
-        # segment A splits from segment B then x days after segement A merges with B (B will be longer)
-        # comments are in the wrong way but the example works as wanted
-
         _time = self.time
         # segment used to correct and track changes
         segment = self.segment_track_array.copy()
@@ -1340,6 +1440,189 @@ def extract_with_mask(self, mask):
             new.previous_obs[:] = translate[p]
         return new
 
+    def analysis_coherence(
+        self,
+        date_function,
+        uv_params,
+        advection_mode="both",
+        dt_advect=14,
+        step_mesh=1.0 / 50,
+        output_name=None,
+        dissociate_network=False,
+        correct_close_events=0,
+        remove_dead_end=0,
+    ):
+
+        """Global function to analyse segments coherence, with network preprocessing"""
+
+        if dissociate_network:
+            self.dissociate_network()
+
+        if correct_close_events > 0:
+            self.correct_close_events(nb_days_max=correct_close_events)
+
+        if remove_dead_end > 0:
+            network_clean = self.remove_dead_end(nobs=0, ndays=remove_dead_end)
+        else:
+            network_clean = self
+
+        res = network_clean.segment_coherence(
+            date_function=date_function,
+            uv_params=uv_params,
+            advection_mode=advection_mode,
+            output_name=output_name,
+            dt_advect=dt_advect,
+            step_mesh=step_mesh,
+        )
+
+        return network_clean, res
+
+    def segment_coherence(
+        self,
+        date_function,
+        uv_params,
+        advection_mode="both",
+        dt_advect=14,
+        step_mesh=1.0 / 50,
+        output_name=None,
+    ):
+
+        """
+        Percentage of particules and their targets after forward or/and backward advection from a specific eddy.
+
+        :param callable date_function: python function, takes as param `int` (julian day) and return
+            data filename associated to the date
+            ex:
+                def date2file(julian_day):
+                    date = datetime.timedelta(days=julian_day) + datetime.datetime(1950, 1, 1)
+
+                    return f"/tmp/dt_global_allsat_phy_l4_{date.strftime('%Y%m%d')}.nc"
+
+        :param dict uv_params: dict of parameters used by
+            :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list`
+        :param str advection_mode: "backward", "forward" or "both"
+        :param int dt_advect: days for advection
+        :param float step_mesh: step for particule mesh in degrees
+        :param str output_name: if not None, name of file saved in zarr. Else, data will not be saved
+        """
+
+        if advection_mode in ["both", "forward"]:
+            itf_final = -ones((self.obs.size, 2), dtype="i4")
+            ptf_final = zeros((self.obs.size, 2), dtype="i1")
+
+        if advection_mode in ["both", "backward"]:
+            itb_final = -ones((self.obs.size, 2), dtype="i4")
+            ptb_final = zeros((self.obs.size, 2), dtype="i1")
+
+        for slice_track, b0, _ in self.iter_on(self.track):
+            if b0 == 0:
+                continue
+
+            sub_networks = self.network(b0)
+
+            # find extremum to create a mesh of particles
+            lon = sub_networks.contour_lon_s
+            lonMin = lon.min() - 0.1
+            lonMax = lon.max() + 0.1
+
+            lat = sub_networks.contour_lat_s
+            latMin = lat.min() - 0.1
+            latMax = lat.max() + 0.1
+
+            x0, y0 = meshgrid(
+                arange(lonMin, lonMax, step_mesh), arange(latMin, latMax, step_mesh)
+            )
+            x0, y0 = x0.reshape(-1), y0.reshape(-1)
+            _, i = group_obs(x0, y0, 1, 360)
+            x0, y0 = x0[i], y0[i]
+
+            t_start, t_end = sub_networks.period
+            shape = (sub_networks.obs.size, 2)
+
+            if advection_mode in ["both", "forward"]:
+
+                # first dates to load.
+                dates = arange(t_start - 1, t_start + dt_advect + 2)
+                # files associated with dates
+                first_files = [date_function(x) for x in dates]
+
+                c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
+
+                i_target_f = -ones(shape, dtype="i4")
+                pct_target_f = zeros(shape, dtype="i1")
+
+                for _t in range(t_start, t_end - dt_advect + 1):
+                    t_shift = _t + dt_advect + 2
+
+                    # add next date to GridCollection and delete last date
+                    c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
+                    particle_candidate(
+                        x0,
+                        y0,
+                        c,
+                        sub_networks,
+                        _t,
+                        i_target_f,
+                        pct_target_f,
+                        delta_t=dt_advect,
+                    )
+
+                itf_final[slice_track] = i_target_f
+                ptf_final[slice_track] = pct_target_f
+
+            if advection_mode in ["both", "backward"]:
+
+                # first dates to load.
+                dates = arange(t_start - 1, t_start + dt_advect + 2)
+                # files associated with dates
+                first_files = [date_function(x) for x in dates]
+
+                c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
+
+                i_target_b = -ones(shape, dtype="i4")
+                pct_target_b = zeros(shape, dtype="i1")
+
+                for _t in range(t_start + dt_advect + 1, t_end + 1):
+                    t_shift = _t + 1
+
+                    # add next date to GridCollection and delete last date
+                    c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
+                    particle_candidate(
+                        x0,
+                        y0,
+                        c,
+                        self,
+                        _t,
+                        i_target_b,
+                        pct_target_b,
+                        delta_t=-dt_advect,
+                    )
+
+                itb_final[slice_track] = i_target_b
+                ptb_final[slice_track] = pct_target_b
+
+        if output_name is not None:
+            zg = zarr.open(output_name, "w")
+
+        # zarr compression parameters
+        params_seg = dict()
+        params_pct = dict()
+
+        res = []
+        if advection_mode in ["forward", "both"]:
+            res = res + [itf_final, ptf_final]
+            if output_name is not None:
+                zg.array("i_target_forward", itf_final, **params_seg)
+                zg.array("pct_target_forward", ptf_final, **params_pct)
+
+        if advection_mode in ["backward", "both"]:
+            res = res + [itb_final, ptb_final]
+            if output_name is not None:
+                zg.array("i_target_backward", itb_final, **params_seg)
+                zg.array("pct_target_backward", ptb_final, **params_pct)
+
+        return res
+
 
 class Network:
     __slots__ = (
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 173f6c56..3d91ad42 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2045,7 +2045,7 @@ def is_convex(self, intern=False):
 
     def contains(self, x, y, intern=False):
         """
-        Return index of contour which contain (x,y)
+        Return index of contour containing (x,y)
 
         :param array x: longitude
         :param array y: latitude

From 13177b657e3f37b88e734a0aac1c8254d5547fca Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Wed, 12 May 2021 14:31:29 +0200
Subject: [PATCH 347/441] correction bug

problem when indices is on edge of datas
---
 src/py_eddy_tracker/dataset/grid.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index ea602cfa..6337e136 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2551,6 +2551,11 @@ def get_uv_quad(i0, j0, u, v, m, nb_x=0):
     i1, j1 = i0 + 1, j0 + 1
     if nb_x != 0:
         i1 %= nb_x
+    i_max, j_max = m.shape
+
+    # if i1 >= i_max or j1 >= j_max:
+    #     return True, nan, nan, nan, nan, nan, nan, nan, nan
+
     if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
         return True, nan, nan, nan, nan, nan, nan, nan, nan
     # Extract value for u and v

From b5c31016a085bd47c7e281cdff5c2a7e0bc7e392 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 14 May 2021 13:48:26 +0200
Subject: [PATCH 348/441] corrections for merge request

move particle_candidate in groups
add default values for shift_files
mistake with get_uv_quad correction still in comments
change delta_t to n_days
correct whitespaces
---
 examples/16_network/pet_follow_particle.py  |  80 +-----------
 src/py_eddy_tracker/dataset/grid.py         |   6 +-
 src/py_eddy_tracker/observations/groups.py  | 109 ++++++++++++++++-
 src/py_eddy_tracker/observations/network.py | 128 +++-----------------
 4 files changed, 127 insertions(+), 196 deletions(-)

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 0c4be55d..b4dfe343 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -17,6 +17,7 @@
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection
 from py_eddy_tracker.observations.network import NetworkObservations
+from py_eddy_tracker.observations.groups import particle_candidate
 from py_eddy_tracker.poly import group_obs
 
 start_logger().setLevel("ERROR")
@@ -124,81 +125,6 @@ def update(frame):
 ani = VideoAnimation(a.fig, update, frames=arange(20200, 20269, step), interval=200)
 
 
-# %%
-# In which observations are the particle
-# --------------------------------------
-def advect(x, y, c, t0, delta_t):
-    """
-    Advect particle from t0 to t0 + delta_t, with data cube.
-    """
-    kw = dict(nb_step=6, time_step=86400 / 6)
-    if delta_t < 0:
-        kw["backward"] = True
-        delta_t = -delta_t
-    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
-    for _ in range(delta_t):
-        t, x, y = p.__next__()
-    return t, x, y
-
-
-def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
-    # Obs from initial time
-    m_start = eddies.time == t_start
-    e = eddies.extract_with_mask(m_start)
-    # to be able to get global index
-    translate_start = where(m_start)[0]
-    # Identify particle in eddies (only in core)
-    i_start = e.contains(x, y, intern=True)
-    m = i_start != -1
-    x, y, i_start = x[m], y[m], i_start[m]
-    # Advect
-    t_end, x, y = advect(x, y, c, t_start, **kwargs)
-    # eddies at last date
-    m_end = eddies.time == t_end / 86400
-    e_end = eddies.extract_with_mask(m_end)
-    # to be able to get global index
-    translate_end = where(m_end)[0]
-    # Id eddies for each alive particle (in core and extern)
-    i_end = e_end.contains(x, y)
-    # compute matrix and fill target array
-    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
-
-
-@njit(cache=True)
-def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
-    nb_start, nb_end = translate_start.size, translate_end.size
-    # Matrix which will store count for every couple
-    count = zeros((nb_start, nb_end), dtype=nb_types.int32)
-    # Number of particles in each origin observation
-    ref = zeros(nb_start, dtype=nb_types.int32)
-    # For each particle
-    for i in range(i_start.size):
-        i_end_ = i_end[i]
-        i_start_ = i_start[i]
-        if i_end_ != -1:
-            count[i_start_, i_end_] += 1
-        ref[i_start_] += 1
-    for i in range(nb_start):
-        for j in range(nb_end):
-            pct_ = count[i, j]
-            # If there are particles from i to j
-            if pct_ != 0:
-                # Get percent
-                pct_ = pct_ / ref[i] * 100.0
-                # Get indices in full dataset
-                i_, j_ = translate_start[i], translate_end[j]
-                pct_0 = pct[i_, 0]
-                if pct_ > pct_0:
-                    pct[i_, 1] = pct_0
-                    pct[i_, 0] = pct_
-                    i_target[i_, 1] = i_target[i_, 0]
-                    i_target[i_, 0] = j_
-                elif pct_ > pct[i_, 1]:
-                    pct[i_, 1] = pct_
-                    i_target[i_, 1] = j_
-    return i_target, pct
-
-
 # %%
 # Particle advection
 # ^^^^^^^^^^^^^^^^^^
@@ -217,12 +143,12 @@ def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
 # Forward run
 i_target_f, pct_target_f = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
 for t in range(t_start, t_end - dt):
-    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)
+    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)
 
 # Backward run
 i_target_b, pct_target_b = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
 for t in range(t_start + dt, t_end):
-    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)
+    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)
 
 # %%
 fig = plt.figure(figsize=(10, 10))
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 6337e136..28fa8526 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2264,7 +2264,7 @@ def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None
             new.datasets.append((t, d))
         return new
 
-    def shift_files(self, t, filename, x_name, y_name, indexs, heigth):
+    def shift_files(self, t, filename, x_name, y_name, indexs=None, heigth=None):
         """Add next file to the list and remove the oldest"""
 
         self.datasets = self.datasets[1:]
@@ -2553,8 +2553,8 @@ def get_uv_quad(i0, j0, u, v, m, nb_x=0):
         i1 %= nb_x
     i_max, j_max = m.shape
 
-    # if i1 >= i_max or j1 >= j_max:
-    #     return True, nan, nan, nan, nan, nan, nan, nan, nan
+    if i1 >= i_max or j1 >= j_max:
+        return True, nan, nan, nan, nan, nan, nan, nan, nan
 
     if m[i0, j0] or m[i0, j1] or m[i1, j0] or m[i1, j1]:
         return True, nan, nan, nan, nan, nan, nan, nan, nan
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index bd8ac81d..835101ff 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -1,8 +1,8 @@
 import logging
 from abc import ABC, abstractmethod
 
-from numba import njit
-from numpy import arange, int32, interp, median, zeros
+from numba import njit, types as nb_types
+from numpy import arange, int32, interp, median, zeros, where
 
 from .observation import EddiesObservations
 
@@ -65,6 +65,111 @@ def get_missing_indices(
     return indices
 
 
+
+def advect(x, y, c, t0, n_days):
+    """
+    Advect particle from t0 to t0 + n_days, with data cube.
+
+    :param np.array(float) x: longitude of particles
+    :param np.array(float) y: latitude  of particles
+    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :param int t0: julian day of advection start
+    :param int n_days: number of days to advect
+    """
+
+    kw = dict(nb_step=6, time_step=86400 / 6)
+    if n_days < 0:
+        kw["backward"] = True
+        n_days = -n_days
+    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
+    for _ in range(n_days):
+        t, x, y = p.__next__()
+    return t, x, y
+
+
+def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
+    """Select particles within eddies, advect them, return target observation and associated percentages
+
+    :param np.array(float) x: longitude of particles
+    :param np.array(float) y: latitude  of particles
+    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :param GroupEddiesObservations eddies: GroupEddiesObservations considered
+    :param int t_start: julian day of the advection
+    :param np.array(int) i_target: corresponding obs where particles are advected
+    :param np.array(int) pct: corresponding percentage of avected particles
+    :params dict kwargs: dict of params given to `advect`
+
+    """
+
+    # Obs from initial time
+    m_start = eddies.time == t_start
+
+    e = eddies.extract_with_mask(m_start)
+    # to be able to get global index
+    translate_start = where(m_start)[0]
+    # Identify particle in eddies (only in core)
+    i_start = e.contains(x, y, intern=True)
+    m = i_start != -1
+
+    x, y, i_start = x[m], y[m], i_start[m]
+    # Advect
+    t_end, x, y = advect(x, y, c, t_start, **kwargs)
+    # eddies at last date
+    m_end = eddies.time == t_end / 86400
+    e_end = eddies.extract_with_mask(m_end)
+    # to be able to get global index
+    translate_end = where(m_end)[0]
+    # Id eddies for each alive particle (in core and extern)
+    i_end = e_end.contains(x, y)
+    # compute matrix and fill target array
+    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
+
+
+@njit(cache=True)
+def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
+    """Compute target observation and associated percentages
+
+    :param np.array(int) i_start: indices of associated contours at starting advection day
+    :param np.array(int) i_end: indices of associated contours after advection
+    :param np.array(int) translate_start: corresponding global indices at starting advection day
+    :param np.array(int) translate_end: corresponding global indices after advection
+    :param np.array(int) i_target: corresponding obs where particles are advected
+    :param np.array(int) pct: corresponding percentage of avected particles
+    """
+
+    nb_start, nb_end = translate_start.size, translate_end.size
+    # Matrix which will store count for every couple
+    count = zeros((nb_start, nb_end), dtype=nb_types.int32)
+    # Number of particles in each origin observation
+    ref = zeros(nb_start, dtype=nb_types.int32)
+    # For each particle
+    for i in range(i_start.size):
+        i_end_ = i_end[i]
+        i_start_ = i_start[i]
+        if i_end_ != -1:
+            count[i_start_, i_end_] += 1
+        ref[i_start_] += 1
+    for i in range(nb_start):
+        for j in range(nb_end):
+            pct_ = count[i, j]
+            # If there are particles from i to j
+            if pct_ != 0:
+                # Get percent
+                pct_ = pct_ / ref[i] * 100.0
+                # Get indices in full dataset
+                i_, j_ = translate_start[i], translate_end[j]
+                pct_0 = pct[i_, 0]
+                if pct_ > pct_0:
+                    pct[i_, 1] = pct_0
+                    pct[i_, 0] = pct_
+                    i_target[i_, 1] = i_target[i_, 0]
+                    i_target[i_, 0] = j_
+                elif pct_ > pct[i_, 1]:
+                    pct[i_, 1] = pct_
+                    i_target[i_, 1] = j_
+    return i_target, pct
+
+
 class GroupEddiesObservations(EddiesObservations, ABC):
     @abstractmethod
     def fix_next_previous_obs(self):
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 5fe0727a..7292e7c2 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -27,7 +27,7 @@
 
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap, group_obs
-from .groups import GroupEddiesObservations, get_missing_indices
+from .groups import GroupEddiesObservations, get_missing_indices, particle_candidate
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
 from ..dataset.grid import GridCollection
@@ -101,109 +101,6 @@ def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
         previous_obs[i_o + 1] = i_o
 
 
-def advect(x, y, c, t0, delta_t):
-    """
-    Advect particle from t0 to t0 + delta_t, with data cube.
-
-    :param np.array(float) x: longitude of particles
-    :param np.array(float) y: latitude  of particles
-    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
-    :param int t0: julian day of advection start
-    :param int delta_t: number of days to advect
-    """
-
-    kw = dict(nb_step=6, time_step=86400 / 6)
-    if delta_t < 0:
-        kw["backward"] = True
-        delta_t = -delta_t
-    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
-    for _ in range(delta_t):
-        t, x, y = p.__next__()
-    return t, x, y
-
-
-def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
-    """Select particles within eddies, advect them, return target observation and associated percentages
-
-    :param np.array(float) x: longitude of particles
-    :param np.array(float) y: latitude  of particles
-    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
-    :param NetworkObservations eddies: NetworkObservations considered
-    :param int t_start: julian day of the advection
-    :param np.array(int) i_target: corresponding obs where particles are advected
-    :param np.array(int) pct: corresponding percentage of avected particles
-    :params dict kwargs: dict of params given to `advect`
-    """
-
-    # Obs from initial time
-    m_start = eddies.time == t_start
-
-    e = eddies.extract_with_mask(m_start)
-    # to be able to get global index
-    translate_start = where(m_start)[0]
-    # Identify particle in eddies (only in core)
-    i_start = e.contains(x, y, intern=True)
-    m = i_start != -1
-
-    x, y, i_start = x[m], y[m], i_start[m]
-    # Advect
-    t_end, x, y = advect(x, y, c, t_start, **kwargs)
-    # eddies at last date
-    m_end = eddies.time == t_end / 86400
-    e_end = eddies.extract_with_mask(m_end)
-    # to be able to get global index
-    translate_end = where(m_end)[0]
-    # Id eddies for each alive particle (in core and extern)
-    i_end = e_end.contains(x, y)
-    # compute matrix and fill target array
-    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
-
-
-@njit(cache=True)
-def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
-    """Compute target observation and associated percentages
-
-    :param np.array(int) i_start: indices of associated contours at starting advection day
-    :param np.array(int) i_end: indices of associated contours after advection
-    :param np.array(int) translate_start: corresponding global indices at starting advection day
-    :param np.array(int) translate_end: corresponding global indices after advection
-    :param np.array(int) i_target: corresponding obs where particles are advected
-    :param np.array(int) pct: corresponding percentage of avected particles
-    """
-
-    nb_start, nb_end = translate_start.size, translate_end.size
-    # Matrix which will store count for every couple
-    count = zeros((nb_start, nb_end), dtype=nb_types.int32)
-    # Number of particles in each origin observation
-    ref = zeros(nb_start, dtype=nb_types.int32)
-    # For each particle
-    for i in range(i_start.size):
-        i_end_ = i_end[i]
-        i_start_ = i_start[i]
-        if i_end_ != -1:
-            count[i_start_, i_end_] += 1
-        ref[i_start_] += 1
-    for i in range(nb_start):
-        for j in range(nb_end):
-            pct_ = count[i, j]
-            # If there are particles from i to j
-            if pct_ != 0:
-                # Get percent
-                pct_ = pct_ / ref[i] * 100.0
-                # Get indices in full dataset
-                i_, j_ = translate_start[i], translate_end[j]
-                pct_0 = pct[i_, 0]
-                if pct_ > pct_0:
-                    pct[i_, 1] = pct_0
-                    pct[i_, 0] = pct_
-                    i_target[i_, 1] = i_target[i_, 0]
-                    i_target[i_, 0] = j_
-                elif pct_ > pct[i_, 1]:
-                    pct[i_, 1] = pct_
-                    i_target[i_, 1] = j_
-    return i_target, pct
-
-
 class NetworkObservations(GroupEddiesObservations):
 
     __slots__ = ("_index_network",)
@@ -221,12 +118,10 @@ def find_segments_relative(self, obs, stopped=None, order=1):
         :param int obs: index of observation after the event
         :param int stopped: index of observation before the event
         :param int order: order of relatives accepted
-
         :return: all relative segments
         :rtype: EddiesObservations
         """
 
-
         # extraction of network where the event is
         network_id = self.tracks[obs]
         nw = self.network(network_id)
@@ -1491,19 +1386,24 @@ def segment_coherence(
         Percentage of particules and their targets after forward or/and backward advection from a specific eddy.
 
         :param callable date_function: python function, takes as param `int` (julian day) and return
-            data filename associated to the date
-            ex:
-                def date2file(julian_day):
-                    date = datetime.timedelta(days=julian_day) + datetime.datetime(1950, 1, 1)
-
-                    return f"/tmp/dt_global_allsat_phy_l4_{date.strftime('%Y%m%d')}.nc"
-
+            data filename associated to the date (see note)
         :param dict uv_params: dict of parameters used by
             :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list`
         :param str advection_mode: "backward", "forward" or "both"
         :param int dt_advect: days for advection
         :param float step_mesh: step for particule mesh in degrees
         :param str output_name: if not None, name of file saved in zarr. Else, data will not be saved
+        :return: list of 2 or 4 array (depending if forward, backward or both) with segment matchs, and percents
+
+        .. note:: the param `date_function` should be something like :
+
+            .. code-block:: python
+
+                def date2file(julian_day):
+                    date = datetime.timedelta(days=julian_day) + datetime.datetime(1950, 1, 1)
+
+                    return f"/tmp/dt_global_allsat_phy_l4_{date.strftime('%Y%m%d')}.nc"
+
         """
 
         if advection_mode in ["both", "forward"]:
@@ -1591,7 +1491,7 @@ def date2file(julian_day):
                         x0,
                         y0,
                         c,
-                        self,
+                        sub_networks,
                         _t,
                         i_target_b,
                         pct_target_b,

From 006adc5f0b300e93a84333198945f91d4fb2cb0a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 14 May 2021 13:48:53 +0200
Subject: [PATCH 349/441] correction for documentation

---
 src/py_eddy_tracker/generic.py              | 5 +++--
 src/py_eddy_tracker/observations/network.py | 6 +++---
 src/py_eddy_tracker/poly.py                 | 1 +
 3 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 530c2136..283b4b9e 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -70,8 +70,9 @@ def build_index(groups):
     :param array groups: array that contains groups to be separated
     :return: (first_index of each group, last_index of each group, value to shift groups)
     :rtype: (array, array, int)
-    Examples
-    --------
+
+    :Example:
+
     >>> build_index(array((1, 1, 3, 4, 4)))
     (array([0, 2, 2, 3]), array([2, 2, 3, 5]), 1)
     """
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 7292e7c2..685b3e42 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -221,7 +221,7 @@ def from_split_network(cls, group_dataset, indexs, **kwargs):
 
         :param TrackEddiesObservations group_dataset: Group dataset
         :param indexs: result from split_network
-        return NetworkObservations
+        :return: NetworkObservations
         """
         index_order = indexs.argsort(order=("group", "track", "time"))
         network = cls.new_like(group_dataset, len(group_dataset), **kwargs)
@@ -1598,8 +1598,8 @@ def group_translator(nb, duos):
         :param int nb: size of translator
         :param set((int, int)) duos: set of all groups that must be joined
 
-        Examples
-        --------
+        :Example:
+
         >>> NetworkObservations.group_translator(5, ((0, 1), (0, 2), (1, 3)))
         [3, 3, 3, 3, 5]
         """
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index fd4ae9c4..fc36185b 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -717,6 +717,7 @@ def visvalingam(x, y, fixed_size=18):
     """Polygon simplification with visvalingam algorithm
 
     X, Y are considered like a polygon, the next point after the last one is the first one
+
     :param array x:
     :param array y:
     :param int fixed_size: array size of out

From b3f66bcf5faf2379e62c72cdfb5e07a62ddbf56e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Sun, 16 May 2021 15:34:43 +0200
Subject: [PATCH 350/441] minor corrections

sorting imports
adding notebooks for binder
adding kwargs to shift_files
correction of new warnings done
---
 examples/16_network/pet_follow_particle.py    |  6 +-
 examples/16_network/pet_ioannou_2017_case.py  |  5 +-
 .../01_general_things/pet_storage.ipynb       |  2 +-
 .../pet_contour_circle.ipynb                  |  2 +-
 .../pet_display_id.ipynb                      |  2 +-
 .../pet_eddy_detection.ipynb                  |  2 +-
 .../pet_eddy_detection_ACC.ipynb              |  2 +-
 .../pet_eddy_detection_gulf_stream.ipynb      |  2 +-
 .../pet_filter_and_detection.ipynb            |  2 +-
 .../pet_interp_grid_on_dataset.ipynb          |  2 +-
 .../pet_radius_vs_area.ipynb                  |  2 +-
 .../pet_shape_gallery.ipynb                   |  2 +-
 .../pet_sla_and_adt.ipynb                     |  2 +-
 .../06_grid_manipulation/pet_advect.ipynb     |  2 +-
 .../06_grid_manipulation/pet_filter.ipynb     |  2 +-
 .../pet_hide_pixel_out_eddies.ipynb           |  2 +-
 .../06_grid_manipulation/pet_lavd.ipynb       |  2 +-
 .../pet_okubo_weiss.ipynb                     |  2 +-
 .../07_cube_manipulation/pet_cube.ipynb       |  2 +-
 .../07_cube_manipulation/pet_fsle_med.ipynb   |  4 +-
 .../pet_lavd_detection.ipynb                  |  2 +-
 .../pet_display_field.ipynb                   |  2 +-
 .../pet_display_track.ipynb                   |  2 +-
 .../pet_one_track.ipynb                       |  2 +-
 .../pet_run_a_tracking.ipynb                  |  2 +-
 .../pet_select_track_across_area.ipynb        |  2 +-
 .../pet_track_anim.ipynb                      |  2 +-
 .../pet_track_anim_matplotlib_animation.ipynb |  2 +-
 .../pet_birth_and_death.ipynb                 |  2 +-
 .../pet_center_count.ipynb                    |  2 +-
 .../pet_geographic_stats.ipynb                |  2 +-
 .../10_tracking_diagnostics/pet_groups.ipynb  |  2 +-
 .../10_tracking_diagnostics/pet_histo.ipynb   |  2 +-
 .../pet_lifetime.ipynb                        |  2 +-
 .../pet_normalised_lifetime.ipynb             |  2 +-
 .../pet_pixel_used.ipynb                      |  2 +-
 .../pet_propagation.ipynb                     |  2 +-
 .../pet_SST_collocation.ipynb                 |  2 +-
 .../14_generic_tools/pet_fit_contour.ipynb    |  2 +-
 .../14_generic_tools/pet_visvalingam.ipynb    |  2 +-
 .../python_module/16_network/pet_atlas.ipynb  |  2 +-
 .../16_network/pet_follow_particle.ipynb      | 24 +------
 .../16_network/pet_group_anim.ipynb           |  2 +-
 .../16_network/pet_ioannou_2017_case.ipynb    |  4 +-
 .../16_network/pet_relative.ipynb             |  2 +-
 .../16_network/pet_replay_segmentation.ipynb  |  2 +-
 .../16_network/pet_segmentation_anim.ipynb    |  2 +-
 .../16_network/pet_something_cool.ipynb       | 65 +++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  4 +-
 src/py_eddy_tracker/observations/groups.py    |  6 +-
 src/py_eddy_tracker/observations/network.py   |  8 +--
 51 files changed, 127 insertions(+), 83 deletions(-)
 create mode 100644 notebooks/python_module/16_network/pet_something_cool.ipynb

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index b4dfe343..e5451daa 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -8,16 +8,14 @@
 from matplotlib import colors
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
-from numba import njit
-from numba import types as nb_types
-from numpy import arange, meshgrid, ones, unique, where, zeros
+from numpy import arange, meshgrid, ones, unique, zeros
 
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.dataset.grid import GridCollection
-from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.observations.groups import particle_candidate
+from py_eddy_tracker.observations.network import NetworkObservations
 from py_eddy_tracker.poly import group_obs
 
 start_logger().setLevel("ERROR")
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index 768f0c88..bbe26e3f 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -14,14 +14,13 @@
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
-from numpy import arange, where, array, pi
+from numpy import arange, array, pi, where
 
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.data import get_demo_path
+from py_eddy_tracker.generic import coordinates_to_local
 from py_eddy_tracker.gui import GUI_AXES
 from py_eddy_tracker.observations.network import NetworkObservations
-
-from py_eddy_tracker.generic import coordinates_to_local
 from py_eddy_tracker.poly import fit_ellipse
 
 # %%
diff --git a/notebooks/python_module/01_general_things/pet_storage.ipynb b/notebooks/python_module/01_general_things/pet_storage.ipynb
index fa8d1a55..a56e4def 100644
--- a/notebooks/python_module/01_general_things/pet_storage.ipynb
+++ b/notebooks/python_module/01_general_things/pet_storage.ipynb
@@ -230,7 +230,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
index 36989357..2d924387 100644
--- a/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_contour_circle.ipynb
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
index 6d40974f..d59f9e15 100644
--- a/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_display_id.ipynb
@@ -129,7 +129,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
index fb6c17f8..7469b034 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection.ipynb
@@ -291,7 +291,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
index c2a3648d..6ac75cee 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_ACC.ipynb
@@ -161,7 +161,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
index c39bc011..49024327 100644
--- a/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_eddy_detection_gulf_stream.ipynb
@@ -273,7 +273,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
index 63e763ff..381aa8f6 100644
--- a/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_filter_and_detection.ipynb
@@ -176,7 +176,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
index 94e61b30..0cfdc9a8 100644
--- a/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_interp_grid_on_dataset.ipynb
@@ -111,7 +111,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
index c70f7dd6..03eba8bf 100644
--- a/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_radius_vs_area.ipynb
@@ -107,7 +107,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
index ffa58c1f..0ef03f6f 100644
--- a/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_shape_gallery.ipynb
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
index efbfcc76..9b8b3951 100644
--- a/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
+++ b/notebooks/python_module/02_eddy_identification/pet_sla_and_adt.ipynb
@@ -223,7 +223,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index b660df52..bceed074 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -262,7 +262,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
index 74a266c2..2d6a7d3a 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_filter.ipynb
@@ -215,7 +215,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
index c9bca31e..f30076fa 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_hide_pixel_out_eddies.ipynb
@@ -111,7 +111,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index 67983cec..a5ca088c 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -201,7 +201,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
index b410be0a..ca4998ee 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_okubo_weiss.ipynb
@@ -201,7 +201,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
index a8ed7f1b..22cf3158 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
@@ -158,7 +158,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index 4f2e1467..a90c3b9f 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## ADT in med\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also \n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
+        "## ADT in med\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
       ]
     },
     {
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
index f4e5f77e..bd197c57 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -194,7 +194,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
index bf924b36..6e43e9a4 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_field.ipynb
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
index 1af7b49a..c98e53f0 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_display_track.ipynb
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
index 2749f7e9..95595a7a 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_one_track.ipynb
@@ -93,7 +93,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
index e8871283..d0a2e5b0 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_run_a_tracking.ipynb
@@ -154,7 +154,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
index 5ba0d481..8e64b680 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_select_track_across_area.ipynb
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 041c8987..65768145 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 9f77dbae..6d7fcc2e 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -93,7 +93,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
index d9a2ef2b..635c6b5a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_birth_and_death.ipynb
@@ -144,7 +144,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
index b6bb15bd..753cd625 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_center_count.ipynb
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
index 3e884552..df495703 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_geographic_stats.ipynb
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
index 85e32c6a..9f06e010 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_groups.ipynb
@@ -136,7 +136,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
index 851c6ca4..81809d8b 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_histo.ipynb
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
index 4a3ff0af..ed8c0295 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_lifetime.ipynb
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
index 867e081f..a53f2d3a 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
@@ -111,7 +111,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
index 81bed372..23f830d6 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_pixel_used.ipynb
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
index e0d1f2d2..9792f8f4 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_propagation.ipynb
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
index 05b0413c..b30682a1 100644
--- a/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
+++ b/notebooks/python_module/12_external_data/pet_SST_collocation.ipynb
@@ -226,7 +226,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
index 5306fa0c..a46a7e22 100644
--- a/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_fit_contour.ipynb
@@ -100,7 +100,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
index 0183abde..69e49b57 100644
--- a/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
+++ b/notebooks/python_module/14_generic_tools/pet_visvalingam.ipynb
@@ -75,7 +75,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_atlas.ipynb b/notebooks/python_module/16_network/pet_atlas.ipynb
index ee8f1934..31e3580f 100644
--- a/notebooks/python_module/16_network/pet_atlas.ipynb
+++ b/notebooks/python_module/16_network/pet_atlas.ipynb
@@ -363,7 +363,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 28d0048d..6be13adf 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numba import njit\nfrom numba import types as nb_types\nfrom numpy import arange, meshgrid, ones, unique, where, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
+        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, ones, unique, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.groups import particle_candidate\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -105,24 +105,6 @@
         "cmap = colors.ListedColormap(list(n.COLORS), name=\"from_list\", N=n.segment.max() + 1)\na = Anim(\n    n,\n    intern=False,\n    figsize=(12, 6),\n    nb_step=1,\n    dpi=60,\n    field_color=\"segment\",\n    field_txt=\"segment\",\n    cmap=cmap,\n)\na.fig.suptitle(\"\"), a.ax.set_xlim(24, 36), a.ax.set_ylim(30, 36)\na.txt.set_position((25, 31))\n\nstep = 0.25\nkw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step)\n\nmappables = dict()\nparticules = c.advect(x, y, \"u\", \"v\", **kw_p)\nfilament = c.filament(x_f, y_f, \"u\", \"v\", **kw_p, filament_size=3)\nkw = dict(ls=\"\", marker=\".\", markersize=0.25)\nfor k in index_:\n    m = k == index\n    mappables[k] = a.ax.plot([], [], color=cmap(k), **kw)[0]\nm_filament = a.ax.plot([], [], lw=0.25, color=\"gray\")[0]\n\n\ndef update(frame):\n    tt, xt, yt = particules.__next__()\n    for k, mappable in mappables.items():\n        m = index == k\n        mappable.set_data(xt[m], yt[m])\n    tt, xt, yt = filament.__next__()\n    m_filament.set_data(xt, yt)\n    if frame % 1 == 0:\n        a.func_animation(frame)\n\n\nani = VideoAnimation(a.fig, update, frames=arange(20200, 20269, step), interval=200)"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## In which observations are the particle\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "def advect(x, y, c, t0, delta_t):\n    \"\"\"\n    Advect particle from t0 to t0 + delta_t, with data cube.\n    \"\"\"\n    kw = dict(nb_step=6, time_step=86400 / 6)\n    if delta_t < 0:\n        kw[\"backward\"] = True\n        delta_t = -delta_t\n    p = c.advect(x, y, \"u\", \"v\", t_init=t0, **kw)\n    for _ in range(delta_t):\n        t, x, y = p.__next__()\n    return t, x, y\n\n\ndef particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):\n    # Obs from initial time\n    m_start = eddies.time == t_start\n    e = eddies.extract_with_mask(m_start)\n    # to be able to get global index\n    translate_start = where(m_start)[0]\n    # Identify particle in eddies (only in core)\n    i_start = e.contains(x, y, intern=True)\n    m = i_start != -1\n    x, y, i_start = x[m], y[m], i_start[m]\n    # Advect\n    t_end, x, y = advect(x, y, c, t_start, **kwargs)\n    # eddies at last date\n    m_end = eddies.time == t_end / 86400\n    e_end = eddies.extract_with_mask(m_end)\n    # to be able to get global index\n    translate_end = where(m_end)[0]\n    # Id eddies for each alive particle (in core and extern)\n    i_end = e_end.contains(x, y)\n    # compute matrix and fill target array\n    get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)\n\n\n@njit(cache=True)\ndef get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):\n    nb_start, nb_end = translate_start.size, translate_end.size\n    # Matrix which will store count for every couple\n    count = zeros((nb_start, nb_end), dtype=nb_types.int32)\n    # Number of particles in each origin observation\n    ref = zeros(nb_start, dtype=nb_types.int32)\n    # For each particle\n    for i in range(i_start.size):\n        i_end_ = i_end[i]\n        i_start_ = i_start[i]\n        if i_end_ != -1:\n            count[i_start_, i_end_] += 1\n        ref[i_start_] += 1\n    for i in range(nb_start):\n        for j in range(nb_end):\n            pct_ = count[i, j]\n            # If there are particles from i to j\n            if pct_ != 0:\n                # Get percent\n                pct_ = pct_ / ref[i] * 100.0\n                # Get indices in full dataset\n                i_, j_ = translate_start[i], translate_end[j]\n                pct_0 = pct[i_, 0]\n                if pct_ > pct_0:\n                    pct[i_, 1] = pct_0\n                    pct[i_, 0] = pct_\n                    i_target[i_, 1] = i_target[i_, 0]\n                    i_target[i_, 0] = j_\n                elif pct_ > pct[i_, 1]:\n                    pct[i_, 1] = pct_\n                    i_target[i_, 1] = j_\n    return i_target, pct"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -138,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, delta_t=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, delta_t=-dt)"
+        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)"
       ]
     },
     {
@@ -169,7 +151,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index ffb9dd17..7129259c 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -205,7 +205,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 9b3d40d6..788e94ca 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, where, array, pi\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom py_eddy_tracker.poly import fit_ellipse"
+        "import re\nfrom datetime import datetime, timedelta\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.ticker import FuncFormatter\nfrom numpy import arange, array, pi, where\n\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.generic import coordinates_to_local\nfrom py_eddy_tracker.gui import GUI_AXES\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import fit_ellipse"
       ]
     },
     {
@@ -338,7 +338,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_relative.ipynb b/notebooks/python_module/16_network/pet_relative.ipynb
index cee4010a..9f3fd3d9 100644
--- a/notebooks/python_module/16_network/pet_relative.ipynb
+++ b/notebooks/python_module/16_network/pet_relative.ipynb
@@ -539,7 +539,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
index 48f4955b..7c632138 100644
--- a/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
+++ b/notebooks/python_module/16_network/pet_replay_segmentation.ipynb
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index ae36381c..05c68873 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -147,7 +147,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.2"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_something_cool.ipynb b/notebooks/python_module/16_network/pet_something_cool.ipynb
new file mode 100644
index 00000000..158852f9
--- /dev/null
+++ b/notebooks/python_module/16_network/pet_something_cool.ipynb
@@ -0,0 +1,65 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# essai\n\non tente des trucs\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import cartopy.crs as ccrs\nimport cartopy.feature as cfeature\nimport numpy as np\nfrom matplotlib import pyplot as plt\n\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\n\ndef rect_from_extent(extent):\n    rect_lon = [extent[0], extent[1], extent[1], extent[0], extent[0]]\n    rect_lat = [extent[2], extent[2], extent[3], extent[3], extent[2]]\n    return rect_lon, rect_lat\n\n\ndef indice_from_extent(lon, lat, extent):\n    mask = (lon > extent[0]) * (lon < extent[1]) * (lat > extent[2]) * (lat < extent[3])\n    return np.where(mask)[0]\n\n\nfichier = \"/data/adelepoulle/work/Eddies/20201217_network_build/big_network.nc\"\nnetwork = NetworkObservations.load_file(fichier)\nsub_network = network.network(1078566)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# extent_begin = [0, 2, -50, -15]\n# extent_end = [-42, -35, -40, -10]\n\nextent_begin = [2, 22, -50, -30]\ni_obs_begin = indice_from_extent(\n    sub_network.longitude, sub_network.latitude, extent_begin\n)\nnetwork_begin = sub_network.find_link(i_obs_begin)\ntime_mini = network_begin.time.min()\ntime_maxi = network_begin.time.max()\n\nextent_end = [-52, -45, -37, -33]\ni_obs_end = indice_from_extent(\n    (network_begin.longitude + 180) % 360 - 180, network_begin.latitude, extent_end\n)\nnetwork_end = network_begin.find_link(i_obs_end, forward=False, backward=True)\n\n\ndatasets = [network_begin, network_end]\nextents = [extent_begin, extent_end]\nfig, (ax1, ax2) = plt.subplots(\n    2, 1, figsize=(10, 9), dpi=140, subplot_kw={\"projection\": ccrs.PlateCarree()}\n)\n\nfor ax, dataset, extent in zip([ax1, ax2], datasets, extents):\n    sca = dataset.scatter(\n        ax,\n        name=\"time\",\n        cmap=\"Spectral_r\",\n        label=\"observation dans le temps\",\n        vmin=time_mini,\n        vmax=time_maxi,\n    )\n\n    x, y = rect_from_extent(extent)\n    ax.fill(x, y, color=\"grey\", alpha=0.3, label=\"observations choisies\")\n    # ax.plot(x, y, marker='o')\n\n    ax.legend()\n\n    gridlines = ax.gridlines(\n        alpha=0.2, color=\"black\", linestyle=\"dotted\", draw_labels=True, dms=True\n    )\n\n    gridlines.left_labels = False\n    gridlines.top_labels = False\n\n    ax.coastlines()\n    ax.add_feature(cfeature.LAND)\n    ax.add_feature(cfeature.LAKES, zorder=10)\n    ax.add_feature(cfeature.BORDERS, lw=0.25)\n    ax.add_feature(cfeature.OCEAN, alpha=0.2)\n\n\nax1.set_title(\n    \"Recherche du d\u00e9placement de l'eau dans les eddies \u00e0 travers les observations choisies\"\n)\nax2.set_title(\"Recherche de la provenance de l'eau \u00e0 travers les observations choisies\")\nax2.set_extent(ax1.get_extent(), ccrs.PlateCarree())\n\nfig.subplots_adjust(right=0.87, left=0.02)\ncbar_ax = fig.add_axes([0.90, 0.1, 0.02, 0.8])\ncbar = fig.colorbar(sca[\"scatter\"], cax=cbar_ax, orientation=\"vertical\")\n_ = cbar.set_label(\"time (jj)\", rotation=270, labelpad=-65)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 28fa8526..bd9e70d3 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2264,12 +2264,12 @@ def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None
             new.datasets.append((t, d))
         return new
 
-    def shift_files(self, t, filename, x_name, y_name, indexs=None, heigth=None):
+    def shift_files(self, t, filename, heigth=None, **rgd_kwargs):
         """Add next file to the list and remove the oldest"""
 
         self.datasets = self.datasets[1:]
 
-        d = RegularGridDataset(filename, x_name, y_name, indexs=indexs)
+        d = RegularGridDataset(filename, **rgd_kwargs)
         if heigth is not None:
             d.add_uv(heigth)
         self.datasets.append((t, d))
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 835101ff..c0924cb3 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -1,8 +1,9 @@
 import logging
 from abc import ABC, abstractmethod
 
-from numba import njit, types as nb_types
-from numpy import arange, int32, interp, median, zeros, where
+from numba import njit
+from numba import types as nb_types
+from numpy import arange, int32, interp, median, where, zeros
 
 from .observation import EddiesObservations
 
@@ -65,7 +66,6 @@ def get_missing_indices(
     return indices
 
 
-
 def advect(x, y, c, t0, n_days):
     """
     Advect particle from t0 to t0 + n_days, with data cube.
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 685b3e42..0e5b9576 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -5,6 +5,7 @@
 import logging
 from glob import glob
 
+import zarr
 from numba import njit
 from numba import types as nb_types
 from numpy import (
@@ -15,22 +16,21 @@
     concatenate,
     empty,
     in1d,
+    meshgrid,
     ones,
     uint16,
     uint32,
     unique,
     where,
     zeros,
-    meshgrid,
 )
-import zarr
 
+from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
-from ..poly import bbox_intersection, vertice_overlap, group_obs
+from ..poly import bbox_intersection, group_obs, vertice_overlap
 from .groups import GroupEddiesObservations, get_missing_indices, particle_candidate
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
-from ..dataset.grid import GridCollection
 
 logger = logging.getLogger("pet")
 

From d76da6ac1af0a0d5ab37d9d2c11c5ebba2dfc71e Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 17 May 2021 21:20:17 +0200
Subject: [PATCH 351/441] Add test to solve one problem of #88

---
 src/py_eddy_tracker/observations/observation.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3d91ad42..0dc4ed69 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2056,7 +2056,8 @@ def contains(self, x, y, intern=False):
         xname, yname = self.intern(intern)
         m = ~(isnan(x) + isnan(y))
         i = -ones(x.shape, dtype="i4")
-        i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
+        if x.size != 0:
+            i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
         return i
 
     def inside(self, x, y, intern=False):

From efb8faa9b6157b60f0017c4502f41de75e38a992 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 20 May 2021 15:35:12 +0200
Subject: [PATCH 352/441] Solve issue #88

---
 src/py_eddy_tracker/generic.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 283b4b9e..a48c0e2f 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -89,8 +89,7 @@ def build_index(groups):
             first_index[group - i0 + 1 : next_group - i0 + 1] = i + 1
     last_index = zeros(amplitude, dtype=numba_types.int_)
     last_index[:-1] = first_index[1:]
-    # + 2 because we iterate only until -2 and we want upper bound ( 1 + 1)
-    last_index[-1] = i + 2
+    last_index[-1] = len(groups)
     return first_index, last_index, i0
 
 

From 3d705bec3cc46969c62f6416b1ae64061d9b6da3 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Wed, 26 May 2021 10:16:42 +0200
Subject: [PATCH 353/441] - change parameter in particle_candidate - add test
 for mask in contains - minor english

---
 src/py_eddy_tracker/observations/network.py     | 4 ++--
 src/py_eddy_tracker/observations/observation.py | 3 ++-
 src/py_eddy_tracker/poly.py                     | 4 ++--
 3 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0e5b9576..4f9af0b3 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1464,7 +1464,7 @@ def date2file(julian_day):
                         _t,
                         i_target_f,
                         pct_target_f,
-                        delta_t=dt_advect,
+                        n_days=dt_advect,
                     )
 
                 itf_final[slice_track] = i_target_f
@@ -1495,7 +1495,7 @@ def date2file(julian_day):
                         _t,
                         i_target_b,
                         pct_target_b,
-                        delta_t=-dt_advect,
+                        n_days=-dt_advect,
                     )
 
                 itb_final[slice_track] = i_target_b
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 0dc4ed69..054ba81a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2056,7 +2056,8 @@ def contains(self, x, y, intern=False):
         xname, yname = self.intern(intern)
         m = ~(isnan(x) + isnan(y))
         i = -ones(x.shape, dtype="i4")
-        if x.size != 0:
+
+        if x.size != 0 and True in m:
             i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
         return i
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index fc36185b..0f0271ee 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -854,8 +854,8 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     """
     Index of contour for each postion inside a contour, -1 in case of no contour
 
-    :param array x_p: longitude to test (must be define, no nan)
-    :param array y_p: latitude to test (must be define, no nan)
+    :param array x_p: longitude to test (must be defined, no nan)
+    :param array y_p: latitude to test (must be defined, no nan)
     :param array x_c: longitude of contours
     :param array y_c: latitude of contours
     """

From 918fbf2529e2aa87e6d68fce95745b4add3e6a42 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Wed, 26 May 2021 11:17:41 +0200
Subject: [PATCH 354/441] correction pull request

---
 src/py_eddy_tracker/observations/observation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 054ba81a..557c0279 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2057,7 +2057,7 @@ def contains(self, x, y, intern=False):
         m = ~(isnan(x) + isnan(y))
         i = -ones(x.shape, dtype="i4")
 
-        if x.size != 0 and True in m:
+        if x.size != 0 and m.any():
             i[m] = poly_indexs(x[m], y[m], self[xname], self[yname])
         return i
 

From 0d9980802a6e995284d4dc65608a8fc908a16988 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 31 May 2021 22:01:28 +0200
Subject: [PATCH 355/441] replace log2 by log in fsle

---
 examples/07_cube_manipulation/pet_fsle_med.py |  6 ++---
 .../07_cube_manipulation/pet_fsle_med.ipynb   | 24 +++++++++----------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index b4a51265..cc221cf7 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -14,7 +14,7 @@
 
 from matplotlib import pyplot as plt
 from numba import njit
-from numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros
+from numpy import arange, arctan2, empty, isnan, log, ma, meshgrid, ones, pi, zeros
 
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.data import get_demo_path
@@ -71,7 +71,7 @@ def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
             s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (
                 (dxn - dye) ** 2 + (dxe + dyn) ** 2
             )
-            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
+            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
             theta[i] = arctan2(at1, at2 + s2) * 180 / pi
             # To know where value are set
             m_set[i] = False
@@ -180,7 +180,7 @@ def build_triplet(x, y, step=0.02):
 ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
 ax.set_aspect("equal")
 ax.set_title("Finite size lyapunov exponent", weight="bold")
-kw = dict(cmap="viridis_r", vmin=-15, vmax=0)
+kw = dict(cmap="viridis_r", vmin=-20, vmax=0)
 m = fsle_custom.display(ax, 1 / fsle_custom.grid("fsle"), **kw)
 ax.grid()
 _ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index a90c3b9f..8ee136b3 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# FSLE experiment in med\n\nExample to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
+        "\nFSLE experiment in med\n======================\n\nExample to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
       ]
     },
     {
@@ -26,14 +26,14 @@
       },
       "outputs": [],
       "source": [
-        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, arctan2, empty, isnan, log2, ma, meshgrid, ones, pi, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
+        "from matplotlib import pyplot as plt\nfrom numba import njit\nfrom numpy import arange, arctan2, empty, isnan, log, ma, meshgrid, ones, pi, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection, RegularGridDataset\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## ADT in med\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
+        "ADT in med\n----------\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also \n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Methods to compute FSLE\n\n"
+        "Methods to compute FSLE\n-----------------------\n\n"
       ]
     },
     {
@@ -62,14 +62,14 @@
       },
       "outputs": [],
       "source": [
-        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log2(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop particle advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
+        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop particle advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Settings\n\n"
+        "Settings\n--------\n\n"
       ]
     },
     {
@@ -87,7 +87,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Particles\n\n"
+        "Particles\n---------\n\n"
       ]
     },
     {
@@ -105,7 +105,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## FSLE\n\n"
+        "FSLE\n----\n\n"
       ]
     },
     {
@@ -123,7 +123,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Display FSLE\n\n"
+        "Display FSLE\n------------\n\n"
       ]
     },
     {
@@ -134,14 +134,14 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-15, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\n_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "fig = plt.figure(figsize=(13, 5), dpi=150)\nax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\nax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\nax.set_aspect(\"equal\")\nax.set_title(\"Finite size lyapunov exponent\", weight=\"bold\")\nkw = dict(cmap=\"viridis_r\", vmin=-20, vmax=0)\nm = fsle_custom.display(ax, 1 / fsle_custom.grid(\"fsle\"), **kw)\nax.grid()\n_ = plt.colorbar(m, cax=fig.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Display Theta\n\n"
+        "Display Theta\n-------------\n\n"
       ]
     },
     {
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,

From 92c326230f7a9ca8c53147f78890a8c7321de8f5 Mon Sep 17 00:00:00 2001
From: CoriPegliasco <66008544+CoriPegliasco@users.noreply.github.com>
Date: Thu, 17 Jun 2021 21:36:41 +0200
Subject: [PATCH 356/441] - add comments + english (#93)

---
 share/tracking.yaml                 | 6 +++---
 src/py_eddy_tracker/dataset/grid.py | 5 ++++-
 src/py_eddy_tracker/eddy_feature.py | 2 +-
 src/py_eddy_tracker/generic.py      | 2 +-
 4 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/share/tracking.yaml b/share/tracking.yaml
index 0f8766b8..b9c98488 100644
--- a/share/tracking.yaml
+++ b/share/tracking.yaml
@@ -8,6 +8,6 @@ PATHS:
 TRACK_DURATION_MIN: 4
 VIRTUAL_LENGTH_MAX: 0
 
-#CLASS:
-#    MODULE: py_eddy_tracker.featured_tracking.old_tracker_reference
-#    CLASS: CheltonTracker
+CLASS:
+   MODULE: py_eddy_tracker.featured_tracking.area_tracker
+   CLASS: AreaTracker
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index bd9e70d3..a2237c61 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -617,7 +617,10 @@ def eddy_identification(
         :param float,None precision: Truncate values at the defined precision in m
         :param str force_height_unit: Unit used for height unit
         :param str force_speed_unit: Unit used for speed unit
-        :param dict kwargs: Argument given to amplitude
+        :param dict kwargs: Arguments given to amplitude (mle, nb_step_min, nb_step_to_be_mle).
+            Look at :py:meth:`py_eddy_tracker.eddy_feature.Amplitude`
+            The amplitude threshold is given by `step*nb_step_min`
+
 
         :return: Return a list of 2 elements: Anticyclones and Cyclones
         :rtype: py_eddy_tracker.observations.observation.EddiesObservations
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 037beb35..f6db848b 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -65,7 +65,7 @@ def __init__(
         :param float contour_height:
         :param array data:
         :param float interval:
-        :param int mle: maximum number of local maxima in contour
+        :param int mle: maximum number of local extrema in contour
         :param int nb_step_min: number of intervals to consider an eddy
         :param int nb_step_to_be_mle: number of intervals to be considered as an another maxima
         """
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index a48c0e2f..94cf321f 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -309,7 +309,7 @@ def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     :param array_like x_val: input x contour coordinates
     :param array_like y_val: input y contour coordinates
     :param int num_fac: factor to increase lengths of output coordinates
-    :param int,None fixed_size: if define, it will used to set sampling
+    :param int,None fixed_size: if defined, will be used to set sampling
     """
     nb = x_val.shape[0]
     # Get distances

From 6bce49abe40204aa5628e490bf288d66880e9dd6 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 18 Jun 2021 09:12:13 +0200
Subject: [PATCH 357/441] typo and allow to choose netcdf format at output

---
 .../pet_eddy_detection_ACC.py                 | 13 +++-------
 examples/06_grid_manipulation/pet_lavd.py     | 11 +++-----
 examples/07_cube_manipulation/pet_fsle_med.py |  2 +-
 .../16_network/pet_replay_segmentation.py     |  8 +-----
 examples/16_network/pet_segmentation_anim.py  |  3 +--
 src/py_eddy_tracker/__init__.py               | 13 +++-------
 src/py_eddy_tracker/appli/eddies.py           | 15 +++--------
 src/py_eddy_tracker/appli/network.py          |  4 +--
 src/py_eddy_tracker/observations/groups.py    |  1 -
 src/py_eddy_tracker/observations/network.py   | 25 +++++--------------
 .../observations/observation.py               | 24 ++++--------------
 src/py_eddy_tracker/observations/tracking.py  |  5 +---
 tests/test_grid.py                            | 10 +-------
 13 files changed, 30 insertions(+), 104 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index c799a45e..e6c5e381 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -65,8 +65,7 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     y_name="latitude",
     # Manual area subset
     indexs=dict(
-        latitude=slice(100 - margin, 220 + margin),
-        longitude=slice(0, 230 + margin),
+        latitude=slice(100 - margin, 220 + margin), longitude=slice(0, 230 + margin),
     ),
 )
 g_raw = RegularGridDataset(**kw_data)
@@ -188,16 +187,10 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     ax.set_ylabel("With filter")
 
     ax.plot(
-        a_[field][i_a] * factor,
-        a[field][j_a] * factor,
-        "r.",
-        label="Anticyclonic",
+        a_[field][i_a] * factor, a[field][j_a] * factor, "r.", label="Anticyclonic",
     )
     ax.plot(
-        c_[field][i_c] * factor,
-        c[field][j_c] * factor,
-        "b.",
-        label="Cyclonic",
+        c_[field][i_c] * factor, c[field][j_c] * factor, "b.", label="Cyclonic",
     )
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index ed21738f..d96c0b06 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -142,8 +142,9 @@ def update(i_frame):
 
 kw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)
 fig, ax, txt = start_ax(dpi=60)
-x_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(
-    28 - step / 2, 46 + step / 2, step
+x_g_, y_g_ = (
+    arange(0 - step / 2, 36 + step / 2, step),
+    arange(28 - step / 2, 46 + step / 2, step),
 )
 # pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular
 pcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)
@@ -158,11 +159,7 @@ def update(i_frame):
 # Format LAVD data
 lavd = RegularGridDataset.with_array(
     coordinates=("lon", "lat"),
-    datas=dict(
-        lavd=lavd.T,
-        lon=x_g,
-        lat=y_g,
-    ),
+    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),
     centered=True,
 )
 
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index cc221cf7..b128286a 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -27,7 +27,7 @@
 # ADT in med
 # ----------
 # :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is
-# made for data stores in time cube, you could use also 
+# made for data stores in time cube, you could use also
 # :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to
 # load data-cube from multiple file.
 c = GridCollection.from_netcdf_cube(
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 757854d5..d6b4568b 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -149,13 +149,7 @@ def get_obs(dataset):
 n_.median_filter(15, "time", "latitude")
 kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20
 m = n_.scatter_timeline(
-    ax,
-    "shape_error_e",
-    vmin=14,
-    vmax=70,
-    **kw,
-    yfield="lon",
-    method="all",
+    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lon", method="all",
 )
 ax.set_ylabel("Longitude")
 cb = update_axes(ax, m["scatter"])
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 340163a1..503229e7 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -96,8 +96,7 @@ def update(i_frame):
 
     indices_frames = INDICES[i_frame]
     mappable_CONTOUR.set_data(
-        e.contour_lon_e[indices_frames],
-        e.contour_lat_e[indices_frames],
+        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames],
     )
     mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])
     return (mappable_tracks,)
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 46946e77..d5db40f6 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -409,20 +409,14 @@ def parse_args(self, *args, **kwargs):
         nc_name="previous_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Previous cost for previous observation",
-            comment="",
-        ),
+        nc_attr=dict(long_name="Previous cost for previous observation", comment="",),
     ),
     next_cost=dict(
         attr_name=None,
         nc_name="next_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Next cost for next observation",
-            comment="",
-        ),
+        nc_attr=dict(long_name="Next cost for next observation", comment="",),
     ),
     n=dict(
         attr_name=None,
@@ -633,8 +627,7 @@ def parse_args(self, *args, **kwargs):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll",
-            units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index d5a727f9..d30ef259 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -367,8 +367,7 @@ def track(
 
     logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
     logger.info(
-        "The mean length is %d observations for long track",
-        c.nb_obs_by_tracks.mean(),
+        "The mean length is %d observations for long track", c.nb_obs_by_tracks.mean(),
     )
 
     long_track.write_file(**kw_write)
@@ -378,14 +377,7 @@ def track(
 
 
 def get_group(
-    dataset1,
-    dataset2,
-    index1,
-    index2,
-    score,
-    invalid=2,
-    low=10,
-    high=60,
+    dataset1, dataset2, index1, index2, score, invalid=2, low=10, high=60,
 ):
     group1, group2 = dict(), dict()
     m_valid = (score * 100) >= invalid
@@ -494,8 +486,7 @@ def get_values(v, dataset):
             ]
 
     labels = dict(
-        high=f"{high:0.0f} <= high",
-        low=f"{invalid:0.0f} <= low < {low:0.0f}",
+        high=f"{high:0.0f} <= high", low=f"{invalid:0.0f} <= low < {low:0.0f}",
     )
 
     keys = [labels.get(key, key) for key in list(gr_ref.values())[0].keys()]
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 5c4cdcaf..c1a752ee 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -76,9 +76,7 @@ def subset_network():
         help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
     )
     parser.add_argument(
-        "--remove_trash",
-        action="store_true",
-        help="Remove trash (network id == 0)",
+        "--remove_trash", action="store_true", help="Remove trash (network id == 0)",
     )
     parser.add_argument(
         "-p",
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index c0924cb3..e77c81fe 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -100,7 +100,6 @@ def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
     :params dict kwargs: dict of params given to `advect`
 
     """
-
     # Obs from initial time
     m_start = eddies.time == t_start
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 4f9af0b3..a8b1ebc0 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -679,13 +679,7 @@ def display_timeline(
         """
         self.only_one_network()
         j = 0
-        line_kw = dict(
-            ls="-",
-            marker="+",
-            markersize=6,
-            zorder=1,
-            lw=3,
-        )
+        line_kw = dict(ls="-", marker="+", markersize=6, zorder=1, lw=3,)
         line_kw.update(kwargs)
         mappables = dict(lines=list())
 
@@ -918,10 +912,7 @@ def event_map(self, ax, **kwargs):
         """Add the merging and splitting events to a map"""
         j = 0
         mappables = dict()
-        symbol_kw = dict(
-            markersize=10,
-            color="k",
-        )
+        symbol_kw = dict(markersize=10, color="k",)
         symbol_kw.update(kwargs)
         symbol_kw_split = symbol_kw.copy()
         symbol_kw_split["markersize"] += 4
@@ -950,13 +941,7 @@ def event_map(self, ax, **kwargs):
         return mappables
 
     def scatter(
-        self,
-        ax,
-        name="time",
-        factor=1,
-        ref=None,
-        edgecolor_cycle=None,
-        **kwargs,
+        self, ax, name="time", factor=1, ref=None, edgecolor_cycle=None, **kwargs,
     ):
         """
         This function scatters the path of each network, with the merging and splitting events
@@ -1400,7 +1385,9 @@ def segment_coherence(
             .. code-block:: python
 
                 def date2file(julian_day):
-                    date = datetime.timedelta(days=julian_day) + datetime.datetime(1950, 1, 1)
+                    date = datetime.timedelta(days=julian_day) + datetime.datetime(
+                        1950, 1, 1
+                    )
 
                     return f"/tmp/dt_global_allsat_phy_l4_{date.strftime('%Y%m%d')}.nc"
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 557c0279..0be29fe7 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -701,11 +701,7 @@ def load_file(cls, filename, **kwargs):
         .. code-block:: python
 
             kwargs_latlon_300 = dict(
-                include_vars=[
-                    "longitude",
-                    "latitude",
-                ],
-                indexs=dict(obs=slice(0, 300)),
+                include_vars=["longitude", "latitude",], indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(
                 filename, **kwargs_latlon_300
@@ -1676,7 +1672,8 @@ def write_file(
             handler = zarr.open(filename, "w")
             self.to_zarr(handler, **kwargs)
         else:
-            with Dataset(filename, "w", format="NETCDF4") as handler:
+            nc_format = kwargs.pop("format", "NETCDF4")
+            with Dataset(filename, "w", format=nc_format) as handler:
                 self.to_netcdf(handler, **kwargs)
 
     @property
@@ -1967,11 +1964,7 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
 
     def format_label(self, label):
         t0, t1 = self.period
-        return label.format(
-            t0=t0,
-            t1=t1,
-            nb_obs=len(self),
-        )
+        return label.format(t0=t0, t1=t1, nb_obs=len(self),)
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
@@ -2330,14 +2323,7 @@ def grid_count_pixel_in(
         x_, y_ = reduce_size(x_, y_)
         v = create_vertice(x_, y_)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
-            v,
-            x_bounds,
-            y_bounds,
-            xstep,
-            ystep,
-            N,
-            is_circular,
-            x_size,
+            v, x_bounds, y_bounds, xstep, ystep, N, is_circular, x_size,
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
         grid_count_(grid, i, j)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index b632270c..58514eb2 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -574,10 +574,7 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(
-            t0=t0,
-            t1=t1,
-            nb_obs=len(self),
-            nb_tracks=(self.nb_obs_by_track != 0).sum(),
+            t0=t0, t1=t1, nb_obs=len(self), nb_tracks=(self.nb_obs_by_track != 0).sum(),
         )
 
     def plot(self, ax, ref=None, **kwargs):
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 2c89550a..34187357 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -7,15 +7,7 @@
 
 G = RegularGridDataset(get_demo_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
-contour = Path(
-    (
-        (-X, 0),
-        (X, 0),
-        (X, X),
-        (-X, X),
-        (-X, 0),
-    )
-)
+contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
 
 
 # contour

From 0834ed25301e0672957a0277f3e3f30e69fd6352 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 18 Jun 2021 09:45:36 +0200
Subject: [PATCH 358/441] - changed log format, too many tabs - adding more
 logs - change generator time step on GridCollection, to work it needed more
 files than necessary. - added coherence computation

---
 CHANGELOG.rst                                 |   3 +
 src/py_eddy_tracker/__init__.py               |   4 +-
 src/py_eddy_tracker/dataset/grid.py           |  22 +-
 src/py_eddy_tracker/observations/groups.py    |  66 ++++-
 src/py_eddy_tracker/observations/network.py   | 263 ++++++++++--------
 .../observations/observation.py               |   1 +
 6 files changed, 213 insertions(+), 146 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 80def41c..87b5d870 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -12,9 +12,12 @@ Changed
 ^^^^^^^
 Fixed
 ^^^^^
+- GridCollection get_next_time_step & get_previous_time_step needed more files to work in the dataset list.
+  The loop needed explicitly self.dataset[i+-1] even when i==0, therefore indice went out of range
 Added
 ^^^^^
 
+
 [3.4.0] - 2021-03-29
 --------------------
 Changed
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 46946e77..e17d0e2f 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -32,9 +32,7 @@
 
 
 def start_logger():
-    FORMAT_LOG = (
-        "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t\t\t\t\t%(message)s"
-    )
+    FORMAT_LOG = "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t%(message)s"
     logger = logging.getLogger("pet")
     if len(logger.handlers) == 0:
         # set up logging to CONSOLE
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index bd9e70d3..41522d14 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2257,11 +2257,13 @@ def from_netcdf_cube(cls, filename, x_name, y_name, t_name, heigth=None):
     @classmethod
     def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None):
         new = cls()
-        for i, t in enumerate(t):
-            d = RegularGridDataset(filenames[i], x_name, y_name, indexs=indexs)
+        for i, _t in enumerate(t):
+            filename = filenames[i]
+            logger.debug(f"load file {i:02d}/{len(t)} t={_t} : {filename}")
+            d = RegularGridDataset(filename, x_name, y_name, indexs=indexs)
             if heigth is not None:
                 d.add_uv(heigth)
-            new.datasets.append((t, d))
+            new.datasets.append((_t, d))
         return new
 
     def shift_files(self, t, filename, heigth=None, **rgd_kwargs):
@@ -2273,6 +2275,7 @@ def shift_files(self, t, filename, heigth=None, **rgd_kwargs):
         if heigth is not None:
             d.add_uv(heigth)
         self.datasets.append((t, d))
+        logger.debug(f"shift and adding i={len(self.datasets)} t={t} : {filename}")
 
     def interp(self, grid_name, t, lons, lats, method="bilinear"):
         """
@@ -2433,6 +2436,7 @@ def advect(
         else:
             mask_particule += isnan(x) + isnan(y)
         while True:
+            logger.debug(f"advect : t={t}")
             if (backward and t <= t1) or (not backward and t >= t1):
                 t0, u0, v0, m0 = t1, u1, v1, m1
                 t1, d1 = generator.__next__()
@@ -2459,25 +2463,21 @@ def advect(
             yield t, x, y
 
     def get_next_time_step(self, t_init):
-        first = True
         for i, (t, dataset) in enumerate(self.datasets):
             if t < t_init:
                 continue
-            if first:
-                first = False
-                yield self.datasets[i - 1]
+
+            logger.debug(f"i={i}, t={t}, dataset={dataset}")
             yield t, dataset
 
     def get_previous_time_step(self, t_init):
-        first = True
         i = len(self.datasets)
         for t, dataset in reversed(self.datasets):
             i -= 1
             if t > t_init:
                 continue
-            if first:
-                first = False
-                yield self.datasets[i + 1]
+
+            logger.debug(f"i={i}, t={t}, dataset={dataset}")
             yield t, dataset
 
 
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index c0924cb3..98e085c0 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -3,9 +3,10 @@
 
 from numba import njit
 from numba import types as nb_types
-from numpy import arange, int32, interp, median, where, zeros
+from numpy import arange, int32, interp, median, where, zeros, meshgrid, concatenate
 
 from .observation import EddiesObservations
+from ..poly import group_obs
 
 logger = logging.getLogger("pet")
 
@@ -87,7 +88,53 @@ def advect(x, y, c, t0, n_days):
     return t, x, y
 
 
-def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
+def create_particles(eddies, step):
+    """create particles only inside speed contour. Avoir creating too large numpy arrays, only to me masked
+
+    :param eddies: network where eddies are
+    :type eddies: network
+    :param step: step for particles
+    :type step: float
+    :return: lon, lat and indices of particles in contour speed
+    :rtype: tuple(np.array)
+    """
+
+    lon = eddies.contour_lon_s
+    lat = eddies.contour_lat_s
+
+    # compute bounding boxes of each eddies
+    lonMins = lon.min(axis=1)
+    lonMins = lonMins - (lonMins % step)
+    lonMaxs = lon.max(axis=1)
+    lonMaxs = lonMaxs - (lonMaxs % step) + step * 2
+
+    latMins = lat.min(axis=1)
+    latMins = latMins - (latMins % step)
+    latMaxs = lat.max(axis=1)
+    latMaxs = latMaxs - (latMaxs % step) + step * 2
+
+    lon = []
+    lat = []
+    # for each eddies, create mesh with particles then concatenate
+    for lonMin, lonMax, latMin, latMax in zip(lonMins, lonMaxs, latMins, latMaxs):
+        x0, y0 = meshgrid(arange(lonMin, lonMax, step), arange(latMin, latMax, step))
+
+        x0, y0 = x0.reshape(-1), y0.reshape(-1)
+        lon.append(x0)
+        lat.append(y0)
+
+    x = concatenate(lon)
+    y = concatenate(lat)
+
+    _, i = group_obs(x, y, 1, 360)
+    x, y = x[i], y[i]
+
+    i_start = eddies.contains(x, y, intern=True)
+    m = i_start != -1
+    return x[m], y[m], i_start[m]
+
+
+def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     """Select particles within eddies, advect them, return target observation and associated percentages
 
     :param np.array(float) x: longitude of particles
@@ -100,27 +147,28 @@ def particle_candidate(x, y, c, eddies, t_start, i_target, pct, **kwargs):
     :params dict kwargs: dict of params given to `advect`
 
     """
-
     # Obs from initial time
     m_start = eddies.time == t_start
-
     e = eddies.extract_with_mask(m_start)
+
     # to be able to get global index
     translate_start = where(m_start)[0]
-    # Identify particle in eddies (only in core)
-    i_start = e.contains(x, y, intern=True)
-    m = i_start != -1
 
-    x, y, i_start = x[m], y[m], i_start[m]
-    # Advect
+    x, y, i_start = create_particles(e, step_mesh)
+
+    # Advection
     t_end, x, y = advect(x, y, c, t_start, **kwargs)
+
     # eddies at last date
     m_end = eddies.time == t_end / 86400
     e_end = eddies.extract_with_mask(m_end)
+
     # to be able to get global index
     translate_end = where(m_end)[0]
+
     # Id eddies for each alive particle (in core and extern)
     i_end = e_end.contains(x, y)
+
     # compute matrix and fill target array
     get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0e5b9576..747bd976 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -3,11 +3,10 @@
 Class to create network of observations
 """
 import logging
+import time
 from glob import glob
 
-import zarr
 from numba import njit
-from numba import types as nb_types
 from numpy import (
     arange,
     array,
@@ -16,7 +15,6 @@
     concatenate,
     empty,
     in1d,
-    meshgrid,
     ones,
     uint16,
     uint32,
@@ -27,7 +25,7 @@
 
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
-from ..poly import bbox_intersection, group_obs, vertice_overlap
+from ..poly import bbox_intersection, vertice_overlap
 from .groups import GroupEddiesObservations, get_missing_indices, particle_candidate
 from .observation import EddiesObservations
 from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
@@ -1276,15 +1274,14 @@ def extract_segment(self, segments, absolute=False):
                 mask[i] = False
         return self.extract_with_mask(mask)
 
-    def extract_with_period(self, period):
+    def get_mask_with_period(self, period):
         """
-        Extract within a time period
+        obtain mask within a time period
 
         :param (int,int) period: two dates to define the period, must be specified from 1/1/1950
-        :return: Return all eddy trajectories in period
-        :rtype: NetworkObservations
+        :return: mask where period is defined
+        :rtype: np.array(bool)
 
-        .. minigallery:: py_eddy_tracker.NetworkObservations.extract_with_period
         """
         dataset_period = self.period
         p_min, p_max = period
@@ -1298,7 +1295,57 @@ def extract_with_period(self, period):
             mask *= self.time <= p_max
         elif p_max < 0:
             mask *= self.time <= (dataset_period[1] + p_max)
-        return self.extract_with_mask(mask)
+        return mask
+
+    def extract_with_period(self, period):
+        """
+        Extract within a time period
+
+        :param (int,int) period: two dates to define the period, must be specified from 1/1/1950
+        :return: Return all eddy trajectories in period
+        :rtype: NetworkObservations
+
+        .. minigallery:: py_eddy_tracker.NetworkObservations.extract_with_period
+        """
+
+        return self.extract_with_mask(self.get_mask_with_period(period))
+
+    def extract_light_with_mask(self, mask):
+        """extract data with mask, but only with variables used for coherence, aka self.array_variables
+
+        :param mask: mask used to extract
+        :type mask: np.array(bool)
+        :return: new EddiesObservation with data wanted
+        :rtype: self
+        """
+
+        if isinstance(mask, slice):
+            nb_obs = mask.stop - mask.start
+        else:
+            nb_obs = mask.sum()
+
+        # only time & contour_lon/lat_e/s
+        variables = ["time"] + self.array_variables
+        new = self.__class__(
+            size=nb_obs,
+            track_extra_variables=[],
+            track_array_variables=self.track_array_variables,
+            array_variables=self.array_variables,
+            only_variables=variables,
+            raw_data=self.raw_data,
+        )
+        new.sign_type = self.sign_type
+        if nb_obs == 0:
+            logger.warning("Empty dataset will be created")
+        else:
+            logger.info(
+                f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
+            )
+
+        for field in variables:
+            logger.debug("Copy of field %s ...", field)
+            new.obs[field] = self.obs[field][mask]
+        return new
 
     def extract_with_mask(self, mask):
         """
@@ -1317,7 +1364,7 @@ def extract_with_mask(self, mask):
         if nb_obs == 0:
             logger.warning("Empty dataset will be created")
         else:
-            logger.info(
+            logger.debug(
                 f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
             )
             for field in self.obs.dtype.descr:
@@ -1372,156 +1419,126 @@ def analysis_coherence(
 
         return network_clean, res
 
-    def segment_coherence(
-        self,
-        date_function,
-        uv_params,
-        advection_mode="both",
-        dt_advect=14,
-        step_mesh=1.0 / 50,
-        output_name=None,
+    def segment_coherence_backward(
+        self, date_function, uv_params, n_days=14, step_mesh=1.0 / 50, output_name=None,
     ):
 
         """
-        Percentage of particules and their targets after forward or/and backward advection from a specific eddy.
+        Percentage of particules and their targets after backward advection from a specific eddy.
 
         :param callable date_function: python function, takes as param `int` (julian day) and return
             data filename associated to the date (see note)
         :param dict uv_params: dict of parameters used by
             :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list`
-        :param str advection_mode: "backward", "forward" or "both"
-        :param int dt_advect: days for advection
+        :param int n_days: days for advection
         :param float step_mesh: step for particule mesh in degrees
-        :param str output_name: if not None, name of file saved in zarr. Else, data will not be saved
-        :return: list of 2 or 4 array (depending if forward, backward or both) with segment matchs, and percents
+        :return: observations matchs, and percents
 
         .. note:: the param `date_function` should be something like :
 
             .. code-block:: python
 
                 def date2file(julian_day):
-                    date = datetime.timedelta(days=julian_day) + datetime.datetime(1950, 1, 1)
-
-                    return f"/tmp/dt_global_allsat_phy_l4_{date.strftime('%Y%m%d')}.nc"
+                    date = datetime.timedelta(days=julian_day) + datetime.datetime(
+                        1950, 1, 1
+                    )
 
+                    return f"/tmp/dt_global_{date.strftime('%Y%m%d')}.nc"
         """
 
-        if advection_mode in ["both", "forward"]:
-            itf_final = -ones((self.obs.size, 2), dtype="i4")
-            ptf_final = zeros((self.obs.size, 2), dtype="i1")
+        itb_final = -ones((self.obs.size, 2), dtype="i4")
+        ptb_final = zeros((self.obs.size, 2), dtype="i1")
 
-        if advection_mode in ["both", "backward"]:
-            itb_final = -ones((self.obs.size, 2), dtype="i4")
-            ptb_final = zeros((self.obs.size, 2), dtype="i1")
+        t_start, t_end = self.period
 
-        for slice_track, b0, _ in self.iter_on(self.track):
-            if b0 == 0:
-                continue
-
-            sub_networks = self.network(b0)
+        dates = arange(t_start, t_start + n_days + 1)
+        first_files = [date_function(x) for x in dates]
 
-            # find extremum to create a mesh of particles
-            lon = sub_networks.contour_lon_s
-            lonMin = lon.min() - 0.1
-            lonMax = lon.max() + 0.1
+        c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
+        first = True
+        range_start = t_start + n_days
+        range_end = t_end + 1
 
-            lat = sub_networks.contour_lat_s
-            latMin = lat.min() - 0.1
-            latMax = lat.max() + 0.1
+        for _t in range(t_start + n_days, t_end + 1):
+            _timestamp = time.time()
+            t_shift = _t
 
-            x0, y0 = meshgrid(
-                arange(lonMin, lonMax, step_mesh), arange(latMin, latMax, step_mesh)
+            # skip first shift, because already included
+            if first:
+                first = False
+            else:
+                # add next date to GridCollection and delete last date
+                c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
+            particle_candidate(
+                c, self, step_mesh, _t, itb_final, ptb_final, n_days=-n_days
+            )
+            logger.info(
+                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%}) : {time.time()-_timestamp:5.2f}s"
             )
-            x0, y0 = x0.reshape(-1), y0.reshape(-1)
-            _, i = group_obs(x0, y0, 1, 360)
-            x0, y0 = x0[i], y0[i]
-
-            t_start, t_end = sub_networks.period
-            shape = (sub_networks.obs.size, 2)
-
-            if advection_mode in ["both", "forward"]:
-
-                # first dates to load.
-                dates = arange(t_start - 1, t_start + dt_advect + 2)
-                # files associated with dates
-                first_files = [date_function(x) for x in dates]
-
-                c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
-
-                i_target_f = -ones(shape, dtype="i4")
-                pct_target_f = zeros(shape, dtype="i1")
-
-                for _t in range(t_start, t_end - dt_advect + 1):
-                    t_shift = _t + dt_advect + 2
-
-                    # add next date to GridCollection and delete last date
-                    c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
-                    particle_candidate(
-                        x0,
-                        y0,
-                        c,
-                        sub_networks,
-                        _t,
-                        i_target_f,
-                        pct_target_f,
-                        delta_t=dt_advect,
-                    )
 
-                itf_final[slice_track] = i_target_f
-                ptf_final[slice_track] = pct_target_f
+        return itb_final, ptb_final
 
-            if advection_mode in ["both", "backward"]:
+    def segment_coherence_forward(
+        self, date_function, uv_params, n_days=14, step_mesh=1.0 / 50,
+    ):
 
-                # first dates to load.
-                dates = arange(t_start - 1, t_start + dt_advect + 2)
-                # files associated with dates
-                first_files = [date_function(x) for x in dates]
+        """
+        Percentage of particules and their targets after forward advection from a specific eddy.
 
-                c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
+        :param callable date_function: python function, takes as param `int` (julian day) and return
+            data filename associated to the date (see note)
+        :param dict uv_params: dict of parameters used by
+            :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list`
+        :param int n_days: days for advection
+        :param float step_mesh: step for particule mesh in degrees
+        :return: observations matchs, and percents
 
-                i_target_b = -ones(shape, dtype="i4")
-                pct_target_b = zeros(shape, dtype="i1")
+        .. note:: the param `date_function` should be something like :
 
-                for _t in range(t_start + dt_advect + 1, t_end + 1):
-                    t_shift = _t + 1
+            .. code-block:: python
 
-                    # add next date to GridCollection and delete last date
-                    c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
-                    particle_candidate(
-                        x0,
-                        y0,
-                        c,
-                        sub_networks,
-                        _t,
-                        i_target_b,
-                        pct_target_b,
-                        delta_t=-dt_advect,
+                def date2file(julian_day):
+                    date = datetime.timedelta(days=julian_day) + datetime.datetime(
+                        1950, 1, 1
                     )
 
-                itb_final[slice_track] = i_target_b
-                ptb_final[slice_track] = pct_target_b
+                    return f"/tmp/dt_global_{date.strftime('%Y%m%d')}.nc"
+        """
+
+        itf_final = -ones((self.obs.size, 2), dtype="i4")
+        ptf_final = zeros((self.obs.size, 2), dtype="i1")
 
-        if output_name is not None:
-            zg = zarr.open(output_name, "w")
+        t_start, t_end = self.period
+        # if begin is not None and begin > t_start:
+        #     t_start = begin
+        # if end is not None and end < t_end:
+        #     t_end = end
 
-        # zarr compression parameters
-        params_seg = dict()
-        params_pct = dict()
+        dates = arange(t_start, t_start + n_days + 1)
+        first_files = [date_function(x) for x in dates]
 
-        res = []
-        if advection_mode in ["forward", "both"]:
-            res = res + [itf_final, ptf_final]
-            if output_name is not None:
-                zg.array("i_target_forward", itf_final, **params_seg)
-                zg.array("pct_target_forward", ptf_final, **params_pct)
+        c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
+        first = True
+        range_start = t_start
+        range_end = t_end - n_days + 1
 
-        if advection_mode in ["backward", "both"]:
-            res = res + [itb_final, ptb_final]
-            if output_name is not None:
-                zg.array("i_target_backward", itb_final, **params_seg)
-                zg.array("pct_target_backward", ptb_final, **params_pct)
+        for _t in range(range_start, range_end):
+            _timestamp = time.time()
+            t_shift = _t + n_days
 
-        return res
+            # skip first shift, because already included
+            if first:
+                first = False
+            else:
+                # add next date to GridCollection and delete last date
+                c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
+            particle_candidate(
+                c, self, step_mesh, _t, itf_final, ptf_final, n_days=n_days
+            )
+            logger.info(
+                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%}) : {time.time()-_timestamp:5.2f}s"
+            )
+        return itf_final, ptf_final
 
 
 class Network:
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3d91ad42..e8998dd6 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -723,6 +723,7 @@ def load_file(cls, filename, **kwargs):
             zarr_file = filename_.endswith(end)
         else:
             zarr_file = False
+        logger.info(f"loading file '{filename}'")
         if zarr_file:
             return cls.load_from_zarr(filename, **kwargs)
         else:

From fe79f1bad737e17aa4c5c5f5715c041dec91d4a2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Fri, 18 Jun 2021 14:32:03 +0200
Subject: [PATCH 359/441] correction of example

---
 examples/16_network/pet_follow_particle.py | 10 ++--------
 src/py_eddy_tracker/observations/groups.py |  2 --
 2 files changed, 2 insertions(+), 10 deletions(-)

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index e5451daa..36639d3f 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -128,12 +128,6 @@ def update(frame):
 # ^^^^^^^^^^^^^^^^^^
 step = 1 / 60.0
 
-x, y = meshgrid(arange(24, 36, step), arange(31, 36, step))
-x0, y0 = x.reshape(-1), y.reshape(-1)
-# Pre-order to speed up
-_, i = group_obs(x0, y0, 1, 360)
-x0, y0 = x0[i], y0[i]
-
 t_start, t_end = n.period
 dt = 14
 
@@ -141,12 +135,12 @@ def update(frame):
 # Forward run
 i_target_f, pct_target_f = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
 for t in range(t_start, t_end - dt):
-    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)
+    particle_candidate(c, n, step, t, i_target_f, pct_target_f, n_days=dt)
 
 # Backward run
 i_target_b, pct_target_b = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
 for t in range(t_start + dt, t_end):
-    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)
+    particle_candidate(c, n, step, t, i_target_b, pct_target_b, n_days=-dt)
 
 # %%
 fig = plt.figure(figsize=(10, 10))
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 98e085c0..08053331 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -137,8 +137,6 @@ def create_particles(eddies, step):
 def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     """Select particles within eddies, advect them, return target observation and associated percentages
 
-    :param np.array(float) x: longitude of particles
-    :param np.array(float) y: latitude  of particles
     :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
     :param GroupEddiesObservations eddies: GroupEddiesObservations considered
     :param int t_start: julian day of the advection

From 57408b8f1cee5832e6a40c1ac77c7790de0220ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Mon, 21 Jun 2021 12:35:24 +0200
Subject: [PATCH 360/441] flake8 corrections

---
 src/py_eddy_tracker/observations/groups.py  |  2 +-
 src/py_eddy_tracker/observations/network.py | 14 ++++++++------
 2 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 08053331..0ecfd515 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -89,7 +89,7 @@ def advect(x, y, c, t0, n_days):
 
 
 def create_particles(eddies, step):
-    """create particles only inside speed contour. Avoir creating too large numpy arrays, only to me masked
+    """create particles only inside speed contour. Avoid creating too large numpy arrays, only to me masked
 
     :param eddies: network where eddies are
     :type eddies: network
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 747bd976..8d9b40b9 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1472,9 +1472,10 @@ def date2file(julian_day):
             particle_candidate(
                 c, self, step_mesh, _t, itb_final, ptb_final, n_days=-n_days
             )
-            logger.info(
-                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%}) : {time.time()-_timestamp:5.2f}s"
-            )
+            logger.info((
+                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
+                f" : {time.time()-_timestamp:5.2f}s"
+            ))
 
         return itb_final, ptb_final
 
@@ -1535,9 +1536,10 @@ def date2file(julian_day):
             particle_candidate(
                 c, self, step_mesh, _t, itf_final, ptf_final, n_days=n_days
             )
-            logger.info(
-                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%}) : {time.time()-_timestamp:5.2f}s"
-            )
+            logger.info((
+                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
+                f" : {time.time()-_timestamp:5.2f}s"
+            ))
         return itf_final, ptf_final
 
 

From 7b4aba66a4477bad9788844fddc2b29e4e6faa46 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Mon, 21 Jun 2021 12:38:38 +0200
Subject: [PATCH 361/441] flake correction

---
 examples/16_network/pet_follow_particle.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 36639d3f..a2e72d5a 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -16,7 +16,6 @@
 from py_eddy_tracker.dataset.grid import GridCollection
 from py_eddy_tracker.observations.groups import particle_candidate
 from py_eddy_tracker.observations.network import NetworkObservations
-from py_eddy_tracker.poly import group_obs
 
 start_logger().setLevel("ERROR")
 

From 3a75c0157bc895f16dd8bfdb1a3af17b1e9a2c4e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Mon, 21 Jun 2021 21:34:18 +0200
Subject: [PATCH 362/441] better create_particles

---
 requirements.txt                           |  2 +-
 src/py_eddy_tracker/observations/groups.py | 53 +++++++++-------------
 2 files changed, 22 insertions(+), 33 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 9539c555..097e786a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 matplotlib
 netCDF4
-numba
+numba>=0.53
 numpy
 opencv-python
 pint
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 0ecfd515..3d028e12 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -3,10 +3,10 @@
 
 from numba import njit
 from numba import types as nb_types
-from numpy import arange, int32, interp, median, where, zeros, meshgrid, concatenate
+from numpy import arange, array, int32, interp, median, where, zeros
 
+from ..poly import create_vertice, reduce_size, winding_number_poly
 from .observation import EddiesObservations
-from ..poly import group_obs
 
 logger = logging.getLogger("pet")
 
@@ -88,6 +88,24 @@ def advect(x, y, c, t0, n_days):
     return t, x, y
 
 
+@njit(cache=True)
+def _create_meshed_particles(lons, lats, step):
+    x_out, y_out, i_out = list(), list(), list()
+    for i, (lon, lat) in enumerate(zip(lons, lats)):
+        lon_min, lon_max = lon.min(), lon.max()
+        lat_min, lat_max = lat.min(), lat.max()
+        lon_min -= lon_min % step
+        lon_max -= lon_max % step - step * 2
+        lat_min -= lat_min % step
+        lat_max -= lat_max % step - step * 2
+
+        for x in arange(lon_min, lon_max, step):
+            for y in arange(lat_min, lat_max, step):
+                if winding_number_poly(x, y, create_vertice(*reduce_size(lon, lat))):
+                    x_out.append(x), y_out.append(y), i_out.append(i)
+    return array(x_out), array(y_out), array(i_out)
+
+
 def create_particles(eddies, step):
     """create particles only inside speed contour. Avoid creating too large numpy arrays, only to me masked
 
@@ -102,36 +120,7 @@ def create_particles(eddies, step):
     lon = eddies.contour_lon_s
     lat = eddies.contour_lat_s
 
-    # compute bounding boxes of each eddies
-    lonMins = lon.min(axis=1)
-    lonMins = lonMins - (lonMins % step)
-    lonMaxs = lon.max(axis=1)
-    lonMaxs = lonMaxs - (lonMaxs % step) + step * 2
-
-    latMins = lat.min(axis=1)
-    latMins = latMins - (latMins % step)
-    latMaxs = lat.max(axis=1)
-    latMaxs = latMaxs - (latMaxs % step) + step * 2
-
-    lon = []
-    lat = []
-    # for each eddies, create mesh with particles then concatenate
-    for lonMin, lonMax, latMin, latMax in zip(lonMins, lonMaxs, latMins, latMaxs):
-        x0, y0 = meshgrid(arange(lonMin, lonMax, step), arange(latMin, latMax, step))
-
-        x0, y0 = x0.reshape(-1), y0.reshape(-1)
-        lon.append(x0)
-        lat.append(y0)
-
-    x = concatenate(lon)
-    y = concatenate(lat)
-
-    _, i = group_obs(x, y, 1, 360)
-    x, y = x[i], y[i]
-
-    i_start = eddies.contains(x, y, intern=True)
-    m = i_start != -1
-    return x[m], y[m], i_start[m]
+    return _create_meshed_particles(lon, lat, step)
 
 
 def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):

From 2f20ca6b6774a9983afbb9e542dee3f5c5c97b93 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Mon, 21 Jun 2021 22:04:59 +0200
Subject: [PATCH 363/441] create particles in class method

---
 src/py_eddy_tracker/observations/groups.py    | 40 +------------------
 .../observations/observation.py               | 32 +++++++++++++++
 2 files changed, 34 insertions(+), 38 deletions(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 3d028e12..64a81a36 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -3,9 +3,8 @@
 
 from numba import njit
 from numba import types as nb_types
-from numpy import arange, array, int32, interp, median, where, zeros
+from numpy import arange, int32, interp, median, where, zeros
 
-from ..poly import create_vertice, reduce_size, winding_number_poly
 from .observation import EddiesObservations
 
 logger = logging.getLogger("pet")
@@ -88,41 +87,6 @@ def advect(x, y, c, t0, n_days):
     return t, x, y
 
 
-@njit(cache=True)
-def _create_meshed_particles(lons, lats, step):
-    x_out, y_out, i_out = list(), list(), list()
-    for i, (lon, lat) in enumerate(zip(lons, lats)):
-        lon_min, lon_max = lon.min(), lon.max()
-        lat_min, lat_max = lat.min(), lat.max()
-        lon_min -= lon_min % step
-        lon_max -= lon_max % step - step * 2
-        lat_min -= lat_min % step
-        lat_max -= lat_max % step - step * 2
-
-        for x in arange(lon_min, lon_max, step):
-            for y in arange(lat_min, lat_max, step):
-                if winding_number_poly(x, y, create_vertice(*reduce_size(lon, lat))):
-                    x_out.append(x), y_out.append(y), i_out.append(i)
-    return array(x_out), array(y_out), array(i_out)
-
-
-def create_particles(eddies, step):
-    """create particles only inside speed contour. Avoid creating too large numpy arrays, only to me masked
-
-    :param eddies: network where eddies are
-    :type eddies: network
-    :param step: step for particles
-    :type step: float
-    :return: lon, lat and indices of particles in contour speed
-    :rtype: tuple(np.array)
-    """
-
-    lon = eddies.contour_lon_s
-    lat = eddies.contour_lat_s
-
-    return _create_meshed_particles(lon, lat, step)
-
-
 def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     """Select particles within eddies, advect them, return target observation and associated percentages
 
@@ -141,7 +105,7 @@ def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     # to be able to get global index
     translate_start = where(m_start)[0]
 
-    x, y, i_start = create_particles(e, step_mesh)
+    x, y, i_start = e.create_particles(step_mesh)
 
     # Advection
     t_end, x, y = advect(x, y, c, t_start, **kwargs)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index aa73b28d..d969f800 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -69,6 +69,7 @@
     poly_indexs,
     reduce_size,
     vertice_overlap,
+    winding_number_poly
 )
 
 logger = logging.getLogger("pet")
@@ -2274,6 +2275,19 @@ def nb_days(self):
         """
         return self.period[1] - self.period[0] + 1
 
+    def create_particles(self, step, intern=True):
+        """create particles only inside speed contour. Avoid creating too large numpy arrays, only to me masked
+
+        :param step: step for particles
+        :type step: float
+        :param bool intern: If true use speed contour instead of effective contour
+        :return: lon, lat and indices of particles
+        :rtype: tuple(np.array)
+        """
+
+        xname, yname = self.intern(intern)
+        return _create_meshed_particles(self[xname], self[yname], step)
+
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
@@ -2430,6 +2444,24 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
             result[elt] = v_max
 
 
+@njit(cache=True)
+def _create_meshed_particles(lons, lats, step):
+    x_out, y_out, i_out = list(), list(), list()
+    for i, (lon, lat) in enumerate(zip(lons, lats)):
+        lon_min, lon_max = lon.min(), lon.max()
+        lat_min, lat_max = lat.min(), lat.max()
+        lon_min -= lon_min % step
+        lon_max -= lon_max % step - step * 2
+        lat_min -= lat_min % step
+        lat_max -= lat_max % step - step * 2
+
+        for x in arange(lon_min, lon_max, step):
+            for y in arange(lat_min, lat_max, step):
+                if winding_number_poly(x, y, create_vertice(*reduce_size(lon, lat))):
+                    x_out.append(x), y_out.append(y), i_out.append(i)
+    return array(x_out), array(y_out), array(i_out)
+
+
 class VirtualEddiesObservations(EddiesObservations):
     """Class to work with virtual obs"""
 

From 1f21d33d49b5aea6f2c6a45852a406fe37fadf29 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 16 Jun 2021 23:51:33 +0200
Subject: [PATCH 364/441] management of floating time

---
 CHANGELOG.rst                                 |   4 ++
 doc/run_tracking.rst                          |   4 +-
 .../06_grid_manipulation/pet_okubo_weiss.py   |   2 +-
 examples/16_network/pet_follow_particle.py    |   5 +++
 .../16_network/pet_follow_particle.ipynb      |  12 +++---
 src/py_eddy_tracker/__init__.py               |   7 ++-
 src/py_eddy_tracker/appli/eddies.py           |  40 +++++++++++-------
 src/py_eddy_tracker/appli/grid.py             |  15 +++++--
 .../data/Anticyclonic_20190223.nc             | Bin 907023 -> 908188 bytes
 src/py_eddy_tracker/gui.py                    |   4 +-
 src/py_eddy_tracker/observations/groups.py    |   4 +-
 .../observations/observation.py               |   2 +
 src/py_eddy_tracker/observations/tracking.py  |  15 ++++---
 src/py_eddy_tracker/tracking.py               |   9 ++--
 src/scripts/EddyTranslate                     |   9 ++--
 15 files changed, 86 insertions(+), 46 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 87b5d870..d7da20d3 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -10,6 +10,10 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 ------------
 Changed
 ^^^^^^^
+- Now time will be allow second precision in storage on uint32 from 01/01/1950 to 01/01/2086
+  new identification will be produce with this type, old file could be still loaded.
+  If you use old identification to track use `--unraw` option to unpack old time and store in new format.
+
 Fixed
 ^^^^^
 - GridCollection get_next_time_step & get_previous_time_step needed more files to work in the dataset list.
diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 0a03848d..1c4b851c 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -26,7 +26,7 @@ Example of conf.yaml
 
     # Number of timestep for missing detection
     VIRTUAL_LENGTH_MAX: 3
-    # Minimal time to consider as a full track
+    # Minimal number of timesteps to consider as a long track
     TRACK_DURATION_MIN: 10
 
 To run:
@@ -69,7 +69,7 @@ With yaml you could also select another tracker:
 
     # Number of timesteps for missing detection
     VIRTUAL_LENGTH_MAX: 3
-    # Minimal time to consider as a full track
+    # Minimal number of timesteps to consider as a long track
     TRACK_DURATION_MIN: 10
 
     CLASS:
diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
index c60a92fb..818a6742 100644
--- a/examples/06_grid_manipulation/pet_okubo_weiss.py
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -1,6 +1,6 @@
 r"""
 Get Okubo Weis
-=====================
+==============
 
 .. math:: OW = S_n^2 + S_s^2 + \omega^2
 
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index a2e72d5a..078d6fbf 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -149,6 +149,11 @@ def update(frame):
 ax_2nd_f = fig.add_axes([0.52, 0.05, 0.45, 0.45])
 ax_1st_b.set_title("Backward advection for each time step")
 ax_1st_f.set_title("Forward advection for each time step")
+ax_1st_b.set_ylabel("Color -> First target\nLatitude")
+ax_2nd_b.set_ylabel("Color -> Secondary target\nLatitude")
+ax_2nd_b.set_xlabel("Julian days"), ax_2nd_f.set_xlabel("Julian days")
+ax_1st_f.set_yticks([]), ax_2nd_f.set_yticks([])
+ax_1st_f.set_xticks([]), ax_1st_b.set_xticks([])
 
 
 def color_alpha(target, pct, vmin=5, vmax=80):
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 6be13adf..b6723a97 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Follow particle\n"
+        "\nFollow particle\n===============\n"
       ]
     },
     {
@@ -55,7 +55,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Schema\n\n"
+        "Schema\n------\n\n"
       ]
     },
     {
@@ -73,7 +73,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Animation\nParticle settings\n\n"
+        "Animation\n---------\nParticle settings\n\n"
       ]
     },
     {
@@ -109,7 +109,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Particle advection\n\n"
+        "Particle advection\n^^^^^^^^^^^^^^^^^^\n\n"
       ]
     },
     {
@@ -131,7 +131,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(10, 10))\nax_1st_b = fig.add_axes([0.05, 0.52, 0.45, 0.45])\nax_2nd_b = fig.add_axes([0.05, 0.05, 0.45, 0.45])\nax_1st_f = fig.add_axes([0.52, 0.52, 0.45, 0.45])\nax_2nd_f = fig.add_axes([0.52, 0.05, 0.45, 0.45])\nax_1st_b.set_title(\"Backward advection for each time step\")\nax_1st_f.set_title(\"Forward advection for each time step\")\n\n\ndef color_alpha(target, pct, vmin=5, vmax=80):\n    color = cmap(n.segment[target])\n    # We will hide under 5 % and from 80% to 100 % it will be 1\n    alpha = (pct - vmin) / (vmax - vmin)\n    alpha[alpha < 0] = 0\n    alpha[alpha > 1] = 1\n    color[:, 3] = alpha\n    return color\n\n\nkw = dict(\n    name=None, yfield=\"longitude\", event=False, zorder=-100, s=(n.speed_area / 20e6)\n)\nn.scatter_timeline(ax_1st_b, c=color_alpha(i_target_b.T[0], pct_target_b.T[0]), **kw)\nn.scatter_timeline(ax_2nd_b, c=color_alpha(i_target_b.T[1], pct_target_b.T[1]), **kw)\nn.scatter_timeline(ax_1st_f, c=color_alpha(i_target_f.T[0], pct_target_f.T[0]), **kw)\nn.scatter_timeline(ax_2nd_f, c=color_alpha(i_target_f.T[1], pct_target_f.T[1]), **kw)\nfor ax in (ax_1st_b, ax_2nd_b, ax_1st_f, ax_2nd_f):\n    n.display_timeline(ax, field=\"longitude\", marker=\"+\", lw=2, markersize=5)\n    ax.grid()"
+        "fig = plt.figure(figsize=(10, 10))\nax_1st_b = fig.add_axes([0.05, 0.52, 0.45, 0.45])\nax_2nd_b = fig.add_axes([0.05, 0.05, 0.45, 0.45])\nax_1st_f = fig.add_axes([0.52, 0.52, 0.45, 0.45])\nax_2nd_f = fig.add_axes([0.52, 0.05, 0.45, 0.45])\nax_1st_b.set_title(\"Backward advection for each time step\")\nax_1st_f.set_title(\"Forward advection for each time step\")\nax_1st_b.set_ylabel(\"Color -> First target\\nLatitude\")\nax_2nd_b.set_ylabel(\"Color -> Secondary target\\nLatitude\")\nax_2nd_b.set_xlabel(\"Julian days\"), ax_2nd_f.set_xlabel(\"Julian days\")\nax_1st_f.set_yticks([]), ax_2nd_f.set_yticks([])\nax_1st_f.set_xticks([]), ax_1st_b.set_xticks([])\n\n\ndef color_alpha(target, pct, vmin=5, vmax=80):\n    color = cmap(n.segment[target])\n    # We will hide under 5 % and from 80% to 100 % it will be 1\n    alpha = (pct - vmin) / (vmax - vmin)\n    alpha[alpha < 0] = 0\n    alpha[alpha > 1] = 1\n    color[:, 3] = alpha\n    return color\n\n\nkw = dict(\n    name=None, yfield=\"longitude\", event=False, zorder=-100, s=(n.speed_area / 20e6)\n)\nn.scatter_timeline(ax_1st_b, c=color_alpha(i_target_b.T[0], pct_target_b.T[0]), **kw)\nn.scatter_timeline(ax_2nd_b, c=color_alpha(i_target_b.T[1], pct_target_b.T[1]), **kw)\nn.scatter_timeline(ax_1st_f, c=color_alpha(i_target_f.T[0], pct_target_f.T[0]), **kw)\nn.scatter_timeline(ax_2nd_f, c=color_alpha(i_target_f.T[1], pct_target_f.T[1]), **kw)\nfor ax in (ax_1st_b, ax_2nd_b, ax_1st_f, ax_2nd_f):\n    n.display_timeline(ax, field=\"longitude\", marker=\"+\", lw=2, markersize=5)\n    ax.grid()"
       ]
     }
   ],
@@ -151,7 +151,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 5cf0d59a..971914f8 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -106,12 +106,17 @@ def parse_args(self, *args, **kwargs):
         return opts
 
 
+TIME_MODELS = ["%Y%m%d", "%Y%m%d%H%M%S", "%Y%m%dT%H%M%S"]
+
+
 VAR_DESCR = dict(
     time=dict(
         attr_name="time",
         nc_name="time",
         old_nc_name=["j1"],
-        nc_type="int32",
+        nc_type="float64",
+        output_type="uint32",
+        scale_factor=1 / 86400.0,
         nc_dims=("obs",),
         nc_attr=dict(
             standard_name="time",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index d30ef259..9c57d818 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -15,7 +15,7 @@
 from numpy import bincount, bytes_, empty, in1d, unique
 from yaml import safe_load
 
-from .. import EddyParser
+from .. import TIME_MODELS, EddyParser
 from ..observations.observation import EddiesObservations, reverse_index
 from ..observations.tracking import TrackEddiesObservations
 from ..tracking import Correspondances
@@ -223,7 +223,7 @@ def browse_dataset_in(
     data_dir,
     files_model,
     date_regexp,
-    date_model,
+    date_model=None,
     start_date=None,
     end_date=None,
     sub_sampling_step=1,
@@ -238,11 +238,7 @@ def browse_dataset_in(
         filenames = bytes_(glob(full_path))
 
     dataset_list = empty(
-        len(filenames),
-        dtype=[
-            ("filename", "S500"),
-            ("date", "datetime64[D]"),
-        ],
+        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[s]")],
     )
     dataset_list["filename"] = filenames
 
@@ -268,10 +264,21 @@ def browse_dataset_in(
                 str_date = result.groups()[0]
 
         if str_date is not None:
-            item["date"] = datetime.strptime(str_date, date_model).date()
+            if date_model is None:
+                model_found = False
+                for model in TIME_MODELS:
+                    try:
+                        item["date"] = datetime.strptime(str_date, model)
+                        model_found = True
+                        break
+                    except ValueError:
+                        pass
+                if not model_found:
+                    raise Exception("No time model found")
+            else:
+                item["date"] = datetime.strptime(str_date, date_model)
 
     dataset_list.sort(order=["date", "filename"])
-
     steps = unique(dataset_list["date"][1:] - dataset_list["date"][:-1])
     if len(steps) > 1:
         raise Exception("Several days steps in grid dataset %s" % steps)
@@ -304,7 +311,7 @@ def track(
     correspondances_only=False,
     **kw_c,
 ):
-    kw = dict(date_regexp=".*_([0-9]*?).[nz].*", date_model="%Y%m%d")
+    kw = dict(date_regexp=".*_([0-9]*?).[nz].*")
     if isinstance(pattern, list):
         kw.update(dict(data_dir=None, files_model=None, files=pattern))
     else:
@@ -323,10 +330,9 @@ def track(
     c = Correspondances(datasets=datasets["filename"], **kw_c)
     c.track()
     logger.info("Track finish")
-    t0, t1 = c.period
     kw_save = dict(
-        date_start=t0,
-        date_stop=t1,
+        date_start=datasets["date"][0],
+        date_stop=datasets["date"][-1],
         date_prod=datetime.now(),
         path=output_dir,
         sign_type=c.current_obs.sign_legend,
@@ -351,11 +357,13 @@ def track(
 
     short_c = c._copy()
     short_c.shorter_than(size_max=nb_obs_min)
-    c.longer_than(size_min=nb_obs_min)
-
-    long_track = c.merge(raw_data=raw)
     short_track = short_c.merge(raw_data=raw)
 
+    if c.longer_than(size_min=nb_obs_min) is False:
+        long_track = short_track.empty_dataset()
+    else:
+        long_track = c.merge(raw_data=raw)
+
     # We flag obs
     if c.virtual:
         long_track["virtual"][:] = long_track["time"] == 0
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 7f2b9610..7a746a8f 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -5,7 +5,7 @@
 from argparse import Action
 from datetime import datetime
 
-from .. import EddyParser
+from .. import TIME_MODELS, EddyParser
 from ..dataset.grid import RegularGridDataset, UnRegularGridDataset
 
 
@@ -121,7 +121,16 @@ def eddy_id(args=None):
         cut_wavelength = [0, *cut_wavelength]
     inf_bnds, upper_bnds = cut_wavelength
 
-    date = datetime.strptime(args.datetime, "%Y%m%d")
+    model_found = False
+    for model in TIME_MODELS:
+        try:
+            date = datetime.strptime(args.datetime, model)
+            model_found = True
+            break
+        except ValueError:
+            pass
+    if not model_found:
+        raise Exception("No time model found")
     kwargs = dict(
         step=args.isoline_step,
         shape_error=args.fit_errmax,
@@ -150,7 +159,7 @@ def eddy_id(args=None):
         sampling_method=args.sampling_method,
         **kwargs,
     )
-    out_name = date.strftime("%(path)s/%(sign_type)s_%Y%m%d.nc")
+    out_name = date.strftime("%(path)s/%(sign_type)s_%Y%m%dT%H%M%S.nc")
     a.write_file(path=args.path_out, filename=out_name, zarr_flag=args.zarr)
     c.write_file(path=args.path_out, filename=out_name, zarr_flag=args.zarr)
 
diff --git a/src/py_eddy_tracker/data/Anticyclonic_20190223.nc b/src/py_eddy_tracker/data/Anticyclonic_20190223.nc
index ce48c8d60a4779176855f1c3108911b2f2d50c91..dc5fe0d3693f42f6165c4138e2e6ee8f30f74bf5 100644
GIT binary patch
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diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index fadd4947..deeb6660 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -291,8 +291,8 @@ def get_infos(self, name, index):
         i_first = d.index_from_track[tr]
         track = d.obs[i_first : i_first + nb]
         nb -= 1
-        t0 = timedelta(days=int(track[0]["time"])) + datetime(1950, 1, 1)
-        t1 = timedelta(days=int(track[-1]["time"])) + datetime(1950, 1, 1)
+        t0 = timedelta(days=track[0]["time"]) + datetime(1950, 1, 1)
+        t1 = timedelta(days=track[-1]["time"]) + datetime(1950, 1, 1)
         txt = f"--{name}--\n"
         txt += f"    {t0} -> {t1}\n"
         txt += f"    Tracks : {tr}  {now['n']}/{nb} ({now['n'] / nb * 100:.2f} %)\n"
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 64a81a36..544fd5f5 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -186,7 +186,8 @@ def filled_by_interpolation(self, mask):
 
         .. minigallery:: py_eddy_tracker.TrackEddiesObservations.filled_by_interpolation
         """
-
+        if self.track.size == 0:
+            return
         nb_filled = mask.sum()
         logger.info("%d obs will be filled (unobserved)", nb_filled)
 
@@ -194,7 +195,6 @@ def filled_by_interpolation(self, mask):
         index = arange(nb_obs)
 
         for field in self.obs.dtype.descr:
-            # print(f"field : {field}")
             var = field[0]
             if (
                 var in ["n", "virtual", "track", "cost_association"]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index d969f800..907c2417 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1328,6 +1328,8 @@ def solve_conflict(cost):
     def solve_simultaneous(cost):
         """Write something (TODO)"""
         mask = ~cost.mask
+        if mask.size == 0:
+            return mask
         # Count number of links by self obs and other obs
         self_links, other_links = sum_row_column(mask)
         max_links = max(self_links.max(), other_links.max())
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 58514eb2..6d302c96 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -173,6 +173,8 @@ def normalize_longitude(self):
         - contour_lon_e (how to do if in raw)
         - contour_lon_s (how to do if in raw)
         """
+        if self.lon.size == 0:
+            return
         lon0 = (self.lon[self.index_from_track] - 180).repeat(self.nb_obs_by_track)
         logger.debug("Normalize longitude")
         self.lon[:] = (self.lon - lon0) % 360 + lon0
@@ -228,12 +230,13 @@ def set_global_attr_netcdf(self, h_nc):
         )
         h_nc.date_created = datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
         t = h_nc.variables[VAR_DESCR_inv["j1"]]
-        delta = t.max - t.min + 1
-        h_nc.time_coverage_duration = "P%dD" % delta
-        d_start = datetime(1950, 1, 1) + timedelta(int(t.min))
-        d_end = datetime(1950, 1, 1) + timedelta(int(t.max))
-        h_nc.time_coverage_start = d_start.strftime("%Y-%m-%dT00:00:00Z")
-        h_nc.time_coverage_end = d_end.strftime("%Y-%m-%dT00:00:00Z")
+        if t.size:
+            delta = t.max - t.min + 1
+            h_nc.time_coverage_duration = "P%dD" % delta
+            d_start = datetime(1950, 1, 1) + timedelta(int(t.min))
+            d_end = datetime(1950, 1, 1) + timedelta(int(t.max))
+            h_nc.time_coverage_start = d_start.strftime("%Y-%m-%dT00:00:00Z")
+            h_nc.time_coverage_end = d_end.strftime("%Y-%m-%dT00:00:00Z")
 
     def extract_with_period(self, period, **kwargs):
         """
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index cba9985e..577496ff 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -161,10 +161,10 @@ def period(self):
 
         """
         date_start = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[0]).time[0])
+            self.class_method.load_file(self.datasets[0]).time[0]
         )
         date_stop = datetime(1950, 1, 1) + timedelta(
-            int(self.class_method.load_file(self.datasets[-1]).time[0])
+            self.class_method.load_file(self.datasets[-1]).time[0]
         )
         return date_start, date_stop
 
@@ -584,7 +584,10 @@ def prepare_merging(self):
     def longer_than(self, size_min):
         """Remove from correspondance table all association for shorter eddies than size_min"""
         # Identify eddies longer than
-        i_keep_track = where(self.nb_obs_by_tracks >= size_min)[0]
+        mask = self.nb_obs_by_tracks >= size_min
+        if not mask.any():
+            return False
+        i_keep_track = where(mask)[0]
         # Reduce array
         self.nb_obs_by_tracks = self.nb_obs_by_tracks[i_keep_track]
         self.i_current_by_tracks = (
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index 94142132..a710db0d 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -16,6 +16,7 @@ def id_parser():
     )
     parser.add_argument("filename_in")
     parser.add_argument("filename_out")
+    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
     return parser
 
 
@@ -32,10 +33,10 @@ def get_variable_name(filename):
         return list(h.keys())
 
 
-def get_variable(filename, varname):
+def get_variable(filename, varname, raw=True):
     if is_nc(filename):
         dataset = EddiesObservations.load_from_netcdf(
-            filename, raw_data=True, include_vars=(varname,)
+            filename, raw_data=raw, include_vars=(varname,)
         )
     else:
         dataset = EddiesObservations.load_from_zarr(filename, include_vars=(varname,))
@@ -49,8 +50,8 @@ if __name__ == "__main__":
     if not is_nc(args.filename_out):
         h = zarr.open(args.filename_out, "w")
         for varname in variables:
-            get_variable(args.filename_in, varname).to_zarr(h)
+            get_variable(args.filename_in, varname, raw=not args.unraw).to_zarr(h)
     else:
         with Dataset(args.filename_out, "w") as h:
             for varname in variables:
-                get_variable(args.filename_in, varname).to_netcdf(h)
+                get_variable(args.filename_in, varname, raw=not args.unraw).to_netcdf(h)

From 7e72eff64f9a801de882f177d074b85ed32ce937 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 18 Jun 2021 09:02:54 +0200
Subject: [PATCH 365/441] modify amplitude storage

---
 CHANGELOG.rst                                 |   1 +
 share/tracking.yaml                           |   3 ++-
 src/py_eddy_tracker/__init__.py               |   2 +-
 .../data/Anticyclonic_20190223.nc             | Bin 908188 -> 909431 bytes
 4 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index d7da20d3..1555c223 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -13,6 +13,7 @@ Changed
 - Now time will be allow second precision in storage on uint32 from 01/01/1950 to 01/01/2086
   new identification will be produce with this type, old file could be still loaded.
   If you use old identification to track use `--unraw` option to unpack old time and store in new format.
+- Now amplitude is stored with .1 mm of precision, same advice than time.
 
 Fixed
 ^^^^^
diff --git a/share/tracking.yaml b/share/tracking.yaml
index b9c98488..a77e9893 100644
--- a/share/tracking.yaml
+++ b/share/tracking.yaml
@@ -4,8 +4,9 @@ PATHS:
   # Path for saving of outputs
   SAVE_DIR: '/home/emason/toto/'
 
-# Minimum number of observations to store eddy
+# Minimal number of timesteps to consider as a long track
 TRACK_DURATION_MIN: 4
+# Number of timesteps for missing detection
 VIRTUAL_LENGTH_MAX: 0
 
 CLASS:
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 971914f8..e8e3c590 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -256,7 +256,7 @@ def parse_args(self, *args, **kwargs):
         old_nc_name=["A"],
         nc_type="float32",
         output_type="uint16",
-        scale_factor=0.001,
+        scale_factor=0.0001,
         nc_dims=("obs",),
         nc_attr=dict(
             long_name="Amplitude",
diff --git a/src/py_eddy_tracker/data/Anticyclonic_20190223.nc b/src/py_eddy_tracker/data/Anticyclonic_20190223.nc
index dc5fe0d3693f42f6165c4138e2e6ee8f30f74bf5..4ab8f2261e9e0a80f1f9825babf234cb3097f44e 100644
GIT binary patch
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From 700f91c57bef429f0af99a8eec448b3e8a7c48cf Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 21 Jun 2021 22:33:42 +0200
Subject: [PATCH 366/441] manage time in network

---
 examples/16_network/pet_follow_particle.py     |  4 ++--
 .../16_network/pet_follow_particle.ipynb       |  2 +-
 .../16_network/pet_segmentation_anim.ipynb     | 14 +++++++-------
 src/py_eddy_tracker/observations/tracking.py   | 18 ++++++++++++------
 4 files changed, 22 insertions(+), 16 deletions(-)

diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 078d6fbf..a5a252e2 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -133,12 +133,12 @@ def update(frame):
 shape = (n.obs.size, 2)
 # Forward run
 i_target_f, pct_target_f = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
-for t in range(t_start, t_end - dt):
+for t in arange(t_start, t_end - dt):
     particle_candidate(c, n, step, t, i_target_f, pct_target_f, n_days=dt)
 
 # Backward run
 i_target_b, pct_target_b = -ones(shape, dtype="i4"), zeros(shape, dtype="i1")
-for t in range(t_start + dt, t_end):
+for t in arange(t_start + dt, t_end):
     particle_candidate(c, n, step, t, i_target_b, pct_target_b, n_days=-dt)
 
 # %%
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index b6723a97..15820ad3 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -120,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in range(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)"
+        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 05c68873..34047da4 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Network segmentation process\n"
+        "\nNetwork segmentation process\n============================\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Load data\nLoad data where observations are put in same network but no segmentation\n\n"
+        "Load data\n---------\nLoad data where observations are put in same network but no segmentation\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Do segmentation\nSegmentation based on maximum overlap, temporal window for candidates = 5 days\n\n"
+        "Do segmentation\n---------------\nSegmentation based on maximum overlap, temporal window for candidates = 5 days\n\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\n\n"
+        "Anim\n----\n\n"
       ]
     },
     {
@@ -109,14 +109,14 @@
       },
       "outputs": [],
       "source": [
-        "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames],\n        e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
+        "def update(i_frame):\n    tr = TRACKS[i_frame]\n    mappable_tracks.set_array(tr)\n    s = 40 * ones(tr.shape)\n    s[tr == 0] = 4\n    mappable_tracks.set_sizes(s)\n\n    indices_frames = INDICES[i_frame]\n    mappable_CONTOUR.set_data(\n        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames],\n    )\n    mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])\n    return (mappable_tracks,)\n\n\nfig = plt.figure(figsize=(16, 9), dpi=60)\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=GUI_AXES)\nax.set_title(f\"{len(e)} observations to segment\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\nvmax = TRACKS[-1].max()\ncmap = ListedColormap([\"gray\", *e.COLORS[:-1]], name=\"from_list\", N=vmax)\nmappable_tracks = ax.scatter(\n    e.lon, e.lat, c=TRACKS[0], cmap=cmap, vmin=0, vmax=vmax, s=20\n)\nmappable_CONTOUR = ax.plot(\n    e.contour_lon_e[INDICES[0]], e.contour_lat_e[INDICES[0]], color=cmap.colors[0]\n)[0]\nani = VideoAnimation(fig, update, frames=range(1, len(TRACKS), 4), interval=125)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Final Result\n\n"
+        "Final Result\n------------\n\n"
       ]
     },
     {
@@ -147,7 +147,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 6d302c96..492842c7 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -16,6 +16,7 @@
     degrees,
     empty,
     histogram,
+    int_,
     median,
     nan,
     ones,
@@ -601,6 +602,12 @@ def plot(self, ax, ref=None, **kwargs):
 
     def split_network(self, intern=True, **kwargs):
         """Return each group (network) divided in segments"""
+        # Find timestep of dataset
+        # FIXME : how to know exact time sampling
+        t = unique(self.time)
+        dts = t[1:] - t[:-1]
+        timestep = median(dts)
+
         track_s, track_e, track_ref = build_index(self.tracks)
         ids = empty(
             len(self),
@@ -614,7 +621,7 @@ def split_network(self, intern=True, **kwargs):
                 ("next_obs", "i4"),
             ],
         )
-        ids["group"], ids["time"] = self.tracks, self.time
+        ids["group"], ids["time"] = self.tracks, int_(self.time / timestep)
         # Initialisation
         # To store the id of the segments, the backward and forward cost associations
         ids["track"], ids["previous_cost"], ids["next_cost"] = 0, 0, 0
@@ -641,6 +648,7 @@ def split_network(self, intern=True, **kwargs):
             local_ids["next_obs"][m] += i_s
         if display_iteration:
             print()
+        ids["time"] *= timestep
         return ids
 
     def set_tracks(self, x, y, ids, window, **kwargs):
@@ -652,8 +660,7 @@ def set_tracks(self, x, y, ids, window, **kwargs):
         :param ndarray ids: several fields like time, group, ...
         :param int windows: number of days where observations could missed
         """
-
-        time_index = build_index(ids["time"])
+        time_index = build_index((ids["time"]).astype("i4"))
         nb = x.shape[0]
         used = zeros(nb, dtype="bool")
         track_id = 1
@@ -698,8 +705,7 @@ def get_previous_obs(
         i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs
     ):
         """Backward association of observations to the segments"""
-
-        time_cur = ids["time"][i_current]
+        time_cur = int_(ids["time"][i_current])
         t0, t1 = time_cur - 1 - time_ref, max(time_cur - window - time_ref, 0)
         for t_step in range(t0, t1 - 1, -1):
             i0, i1 = time_s[t_step], time_e[t_step]
@@ -729,7 +735,7 @@ def get_previous_obs(
     def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
-        time_cur = ids["time"][i_current]
+        time_cur = int_(ids["time"][i_current])
         t0, t1 = time_cur + 1 - time_ref, min(time_cur + window - time_ref, time_max)
         if t0 > time_max:
             return -1

From 2b1eb7fb447e8b8216f7115165540e7a631d7587 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 25 Jun 2021 21:42:55 +0200
Subject: [PATCH 367/441] English corrections & missing changelog version

---
 CHANGELOG.rst                       | 19 +++++++++++++------
 doc/run_tracking.rst                | 14 +++++++-------
 share/tracking.yaml                 | 10 +++++-----
 src/py_eddy_tracker/appli/eddies.py |  2 +-
 4 files changed, 26 insertions(+), 19 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 1555c223..f33f15dd 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -10,18 +10,25 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 ------------
 Changed
 ^^^^^^^
-- Now time will be allow second precision in storage on uint32 from 01/01/1950 to 01/01/2086
-  new identification will be produce with this type, old file could be still loaded.
-  If you use old identification to track use `--unraw` option to unpack old time and store in new format.
-- Now amplitude is stored with .1 mm of precision, same advice than time.
+
+- Now time allows second precision (instead of daily precision) in storage on uint32 from 01/01/1950 to 01/01/2086
+  New identifications are produced with this type, old files could still be loaded.
+  If you use old identifications for tracking use the `--unraw` option to unpack old times and store data with the new format.
+- Now amplitude is stored with .1 mm of precision (instead of 1 mm), same advice as for time.
 
 Fixed
 ^^^^^
-- GridCollection get_next_time_step & get_previous_time_step needed more files to work in the dataset list.
-  The loop needed explicitly self.dataset[i+-1] even when i==0, therefore indice went out of range
+
 Added
 ^^^^^
 
+[3.5.0] - 2021-06-22
+--------------------
+
+Fixed
+^^^^^
+- GridCollection get_next_time_step & get_previous_time_step needed more files to work in the dataset list.
+  The loop needed explicitly self.dataset[i+-1] even when i==0, therefore indice went out of range
 
 [3.4.0] - 2021-03-29
 --------------------
diff --git a/doc/run_tracking.rst b/doc/run_tracking.rst
index 1c4b851c..36290339 100644
--- a/doc/run_tracking.rst
+++ b/doc/run_tracking.rst
@@ -5,9 +5,9 @@ Tracking
 Requirements
 ************
 
-Before to run tracking, you will need to run identification on every time step of the period (period of your study).
+Before tracking, you will need to run identification on every time step of the period (period of your study).
 
-**Advice** : Before to run tracking, displaying some identification file allows to learn a lot
+**Advice** : Before tracking, displaying some identification files. You will learn a lot
 
 Default method
 **************
@@ -24,9 +24,9 @@ Example of conf.yaml
       FILES_PATTERN: MY_IDENTIFICATION_PATH/Anticyclonic*.nc
       SAVE_DIR: MY_OUTPUT_PATH
 
-    # Number of timestep for missing detection
+    # Number of consecutive timesteps with missing detection allowed
     VIRTUAL_LENGTH_MAX: 3
-    # Minimal number of timesteps to consider as a long track
+    # Minimal number of timesteps to considered as a long trajectory
     TRACK_DURATION_MIN: 10
 
 To run:
@@ -63,13 +63,13 @@ With yaml you could also select another tracker:
 .. code-block:: yaml
 
     PATHS:
-      # Files produces with EddyIdentification
+      # Files produced with EddyIdentification
       FILES_PATTERN: MY/IDENTIFICATION_PATH/Anticyclonic*.nc
       SAVE_DIR: MY_OUTPUT_PATH
 
-    # Number of timesteps for missing detection
+    # Number of consecutive timesteps with missing detection allowed
     VIRTUAL_LENGTH_MAX: 3
-    # Minimal number of timesteps to consider as a long track
+    # Minimal number of timesteps to considered as a long trajectory
     TRACK_DURATION_MIN: 10
 
     CLASS:
diff --git a/share/tracking.yaml b/share/tracking.yaml
index a77e9893..d6264104 100644
--- a/share/tracking.yaml
+++ b/share/tracking.yaml
@@ -1,13 +1,13 @@
 PATHS:
-  # Files produces with EddyIdentification
+  # Files produced with EddyIdentification
   FILES_PATTERN: /home/emason/toto/Anticyclonic_*.nc
-  # Path for saving of outputs
+  # Path to save outputs
   SAVE_DIR: '/home/emason/toto/'
 
-# Minimal number of timesteps to consider as a long track
-TRACK_DURATION_MIN: 4
-# Number of timesteps for missing detection
+# Number of consecutive timesteps with missing detection allowed
 VIRTUAL_LENGTH_MAX: 0
+# Minimal number of timesteps to considered as a long trajectory
+TRACK_DURATION_MIN: 4
 
 CLASS:
    MODULE: py_eddy_tracker.featured_tracking.area_tracker
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 9c57d818..701162a4 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -281,7 +281,7 @@ def browse_dataset_in(
     dataset_list.sort(order=["date", "filename"])
     steps = unique(dataset_list["date"][1:] - dataset_list["date"][:-1])
     if len(steps) > 1:
-        raise Exception("Several days steps in grid dataset %s" % steps)
+        raise Exception("Several timesteps in grid dataset %s" % steps)
 
     if sub_sampling_step != 1:
         logger.info("Grid subsampling %d", sub_sampling_step)

From 8e262304ba8be2d0b91136f8294be0aaafc2519a Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 28 Jun 2021 21:48:57 +0200
Subject: [PATCH 368/441] create specific environement.yml for binder (#97)

---
 environment.yml | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 environment.yml

diff --git a/environment.yml b/environment.yml
new file mode 100644
index 00000000..941bb7aa
--- /dev/null
+++ b/environment.yml
@@ -0,0 +1,11 @@
+name: binder-pyeddytracker
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.7
+  - ffmpeg
+  - pip:
+    - -r file:requirements.txt
+    - pyeddytrackersample
+    - .

From 43c2616bdc5f267bed21dc334de49631a5dda20b Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 28 Jun 2021 22:39:06 +0200
Subject: [PATCH 369/441] Add documentation and create method to detect time
 format

---
 src/py_eddy_tracker/__init__.py               | 10 ++++++++++
 src/py_eddy_tracker/appli/eddies.py           | 20 ++++++++-----------
 src/py_eddy_tracker/appli/grid.py             | 14 ++-----------
 .../observations/observation.py               |  9 +++++++--
 src/scripts/EddyTranslate                     |  3 ++-
 5 files changed, 29 insertions(+), 27 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index e8e3c590..fbeb1450 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -22,6 +22,7 @@
 
 import logging
 from argparse import ArgumentParser
+from datetime import datetime
 
 import zarr
 
@@ -109,6 +110,15 @@ def parse_args(self, *args, **kwargs):
 TIME_MODELS = ["%Y%m%d", "%Y%m%d%H%M%S", "%Y%m%dT%H%M%S"]
 
 
+def identify_time(str_date):
+    for model in TIME_MODELS:
+        try:
+            return datetime.strptime(str_date, model)
+        except ValueError:
+            pass
+    raise Exception("No time model found")
+
+
 VAR_DESCR = dict(
     time=dict(
         attr_name="time",
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 701162a4..4809fddf 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -15,7 +15,7 @@
 from numpy import bincount, bytes_, empty, in1d, unique
 from yaml import safe_load
 
-from .. import TIME_MODELS, EddyParser
+from .. import EddyParser, identify_time
 from ..observations.observation import EddiesObservations, reverse_index
 from ..observations.tracking import TrackEddiesObservations
 from ..tracking import Correspondances
@@ -163,7 +163,12 @@ def eddies_tracking():
     parser.add_argument(
         "--zarr", action="store_true", help="Output will be wrote in zarr"
     )
-    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
+    parser.add_argument(
+        "--unraw",
+        action="store_true",
+        help="Load unraw data, use only for netcdf."
+        "If unraw is active, netcdf is loaded without apply scalefactor and add_offset.",
+    )
     parser.add_argument(
         "--blank_period",
         type=int,
@@ -265,16 +270,7 @@ def browse_dataset_in(
 
         if str_date is not None:
             if date_model is None:
-                model_found = False
-                for model in TIME_MODELS:
-                    try:
-                        item["date"] = datetime.strptime(str_date, model)
-                        model_found = True
-                        break
-                    except ValueError:
-                        pass
-                if not model_found:
-                    raise Exception("No time model found")
+                item["date"] = identify_time(str_date)
             else:
                 item["date"] = datetime.strptime(str_date, date_model)
 
diff --git a/src/py_eddy_tracker/appli/grid.py b/src/py_eddy_tracker/appli/grid.py
index 7a746a8f..099465ee 100644
--- a/src/py_eddy_tracker/appli/grid.py
+++ b/src/py_eddy_tracker/appli/grid.py
@@ -3,9 +3,8 @@
 All entry point to manipulate grid
 """
 from argparse import Action
-from datetime import datetime
 
-from .. import TIME_MODELS, EddyParser
+from .. import EddyParser, identify_time
 from ..dataset.grid import RegularGridDataset, UnRegularGridDataset
 
 
@@ -121,16 +120,7 @@ def eddy_id(args=None):
         cut_wavelength = [0, *cut_wavelength]
     inf_bnds, upper_bnds = cut_wavelength
 
-    model_found = False
-    for model in TIME_MODELS:
-        try:
-            date = datetime.strptime(args.datetime, model)
-            model_found = True
-            break
-        except ValueError:
-            pass
-    if not model_found:
-        raise Exception("No time model found")
+    date = identify_time(args.datetime)
     kwargs = dict(
         step=args.isoline_step,
         shape_error=args.fit_errmax,
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 907c2417..db0c2a45 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -69,7 +69,7 @@
     poly_indexs,
     reduce_size,
     vertice_overlap,
-    winding_number_poly
+    winding_number_poly,
 )
 
 logger = logging.getLogger("pet")
@@ -1326,7 +1326,12 @@ def solve_conflict(cost):
 
     @staticmethod
     def solve_simultaneous(cost):
-        """Write something (TODO)"""
+        """Deduce link from cost matrix.
+
+        :param array(float) cost: Cost for each available link
+        :return: return a boolean mask array, True for each valid couple
+        :rtype: array(bool)
+        """
         mask = ~cost.mask
         if mask.size == 0:
             return mask
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index a710db0d..26ab3a7b 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -16,7 +16,8 @@ def id_parser():
     )
     parser.add_argument("filename_in")
     parser.add_argument("filename_out")
-    parser.add_argument("--unraw", action="store_true", help="Load unraw data")
+    parser.add_argument("--unraw", action="store_true", help="Load unraw data, use only for netcdf."
+    "If unraw is active, netcdf is loaded without apply scalefactor and add_offset.")
     return parser
 
 

From 08c2393a053ee9bffcf77957fd369ddc120a0d1a Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Tue, 17 Aug 2021 12:14:07 +0200
Subject: [PATCH 370/441] - Majuscules + orthographe - n.period in int for
 particle advection - mise en page

---
 .../pet_eddy_detection_ACC.py                 |  13 +-
 examples/06_grid_manipulation/pet_lavd.py     |   6 +-
 examples/16_network/pet_atlas.py              |  28 +--
 examples/16_network/pet_follow_particle.py    |   4 +-
 examples/16_network/pet_relative.py           |   6 +-
 .../16_network/pet_replay_segmentation.py     |   8 +-
 examples/16_network/pet_segmentation_anim.py  |   3 +-
 src/py_eddy_tracker/__init__.py               |  15 +-
 src/py_eddy_tracker/appli/eddies.py           |  18 +-
 src/py_eddy_tracker/appli/network.py          |   4 +-
 src/py_eddy_tracker/eddy_feature.py           |  19 +-
 src/py_eddy_tracker/observations/groups.py    |  37 +++-
 src/py_eddy_tracker/observations/network.py   | 175 ++++++++++++++----
 .../observations/observation.py               |  23 ++-
 src/py_eddy_tracker/observations/tracking.py  |  33 +++-
 tests/test_grid.py                            |  10 +-
 16 files changed, 306 insertions(+), 96 deletions(-)

diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index e6c5e381..c799a45e 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -65,7 +65,8 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     y_name="latitude",
     # Manual area subset
     indexs=dict(
-        latitude=slice(100 - margin, 220 + margin), longitude=slice(0, 230 + margin),
+        latitude=slice(100 - margin, 220 + margin),
+        longitude=slice(0, 230 + margin),
     ),
 )
 g_raw = RegularGridDataset(**kw_data)
@@ -187,10 +188,16 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     ax.set_ylabel("With filter")
 
     ax.plot(
-        a_[field][i_a] * factor, a[field][j_a] * factor, "r.", label="Anticyclonic",
+        a_[field][i_a] * factor,
+        a[field][j_a] * factor,
+        "r.",
+        label="Anticyclonic",
     )
     ax.plot(
-        c_[field][i_c] * factor, c[field][j_c] * factor, "b.", label="Cyclonic",
+        c_[field][i_c] * factor,
+        c[field][j_c] * factor,
+        "b.",
+        label="Cyclonic",
     )
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index d96c0b06..e597821c 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -159,7 +159,11 @@ def update(i_frame):
 # Format LAVD data
 lavd = RegularGridDataset.with_array(
     coordinates=("lon", "lat"),
-    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),
+    datas=dict(
+        lavd=lavd.T,
+        lon=x_g,
+        lat=y_g,
+    ),
     centered=True,
 )
 
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 7f86790a..6927f169 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -153,33 +153,33 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
-# All Spliting
-# ------------
-# Display the occurence of spliting events
+# All splitting
+# -------------
+# Display the occurence of splitting events
 ax = start_axes("")
-g_all_spliting = n.spliting_event().grid_count(bins)
-m = g_all_spliting.display(ax, **kw_time, vmin=0, vmax=1)
+g_all_splitting = n.splitting_event().grid_count(bins)
+m = g_all_splitting.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
 
 # %%
-# Ratio spliting events / eddy presence
+# Ratio splitting events / eddy presence
 ax = start_axes("")
-g_ = g_all_spliting.vars["count"] * 100.0 / g_all.vars["count"]
-m = g_all_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
+g_ = g_all_splitting.vars["count"] * 100.0 / g_all.vars["count"]
+m = g_all_splitting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
 
 # %%
-# Spliting in networks longer than 10 days
-# ----------------------------------------
+# splitting in networks longer than 10 days
+# -----------------------------------------
 ax = start_axes("")
-g_10_spliting = n10.spliting_event().grid_count(bins)
-m = g_10_spliting.display(ax, **kw_time, vmin=0, vmax=1)
+g_10_splitting = n10.splitting_event().grid_count(bins)
+m = g_10_splitting.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
 # %%
 ax = start_axes("")
 g_ = ma.array(
-    g_10_spliting.vars["count"] * 100.0 / g_10.vars["count"],
+    g_10_splitting.vars["count"] * 100.0 / g_10.vars["count"],
     mask=g_10.vars["count"] < 365,
 )
-m = g_10_spliting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
+m = g_10_splitting.display(ax, **kw_ratio, vmin=0, vmax=5, name=g_)
 update_axes(ax, m).set_label("Pixel used in % all atlas")
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index a5a252e2..1c858879 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -125,9 +125,11 @@ def update(frame):
 # %%
 # Particle advection
 # ^^^^^^^^^^^^^^^^^^
+# Advection from speed contour to speed contour (default)
+
 step = 1 / 60.0
 
-t_start, t_end = n.period
+t_start, t_end = int(n.period[0]), int(n.period[1])
 dt = 14
 
 shape = (n.obs.size, 2)
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index c4989edb..f5e8bc92 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -292,13 +292,13 @@
 m1
 
 # %%
-# Get spliting event
-# ------------------
+# Get splitting event
+# -------------------
 # Display the position of the eddies before a splitting
 fig = plt.figure(figsize=(15, 8))
 ax = fig.add_axes([0.04, 0.06, 0.90, 0.88], projection=GUI_AXES)
 n.plot(ax, color_cycle=n.COLORS)
-s0, s1, s1_start = n.spliting_event(triplet=True)
+s0, s1, s1_start = n.splitting_event(triplet=True)
 s0.display(ax, color="violet", lw=2, label="Eddies before splitting")
 s1.display(ax, color="blueviolet", lw=2, label="Eddies after splitting")
 s1_start.display(ax, color="black", lw=2, label="Eddies starting by splitting")
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index d6b4568b..757854d5 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -149,7 +149,13 @@ def get_obs(dataset):
 n_.median_filter(15, "time", "latitude")
 kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20
 m = n_.scatter_timeline(
-    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lon", method="all",
+    ax,
+    "shape_error_e",
+    vmin=14,
+    vmax=70,
+    **kw,
+    yfield="lon",
+    method="all",
 )
 ax.set_ylabel("Longitude")
 cb = update_axes(ax, m["scatter"])
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 503229e7..340163a1 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -96,7 +96,8 @@ def update(i_frame):
 
     indices_frames = INDICES[i_frame]
     mappable_CONTOUR.set_data(
-        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames],
+        e.contour_lon_e[indices_frames],
+        e.contour_lat_e[indices_frames],
     )
     mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])
     return (mappable_tracks,)
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index fbeb1450..f3ecec84 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -404,7 +404,7 @@ def identify_time(str_date):
         nc_dims=("obs",),
         nc_attr=dict(
             long_name="Previous observation index",
-            comment="Index of previous observation in a spliting case",
+            comment="Index of previous observation in a splitting case",
         ),
     ),
     next_obs=dict(
@@ -422,14 +422,20 @@ def identify_time(str_date):
         nc_name="previous_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Previous cost for previous observation", comment="",),
+        nc_attr=dict(
+            long_name="Previous cost for previous observation",
+            comment="",
+        ),
     ),
     next_cost=dict(
         attr_name=None,
         nc_name="next_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Next cost for next observation", comment="",),
+        nc_attr=dict(
+            long_name="Next cost for next observation",
+            comment="",
+        ),
     ),
     n=dict(
         attr_name=None,
@@ -640,7 +646,8 @@ def identify_time(str_date):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll",
+            units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 4809fddf..df4e7d43 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -243,7 +243,8 @@ def browse_dataset_in(
         filenames = bytes_(glob(full_path))
 
     dataset_list = empty(
-        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[s]")],
+        len(filenames),
+        dtype=[("filename", "S500"), ("date", "datetime64[s]")],
     )
     dataset_list["filename"] = filenames
 
@@ -371,7 +372,8 @@ def track(
 
     logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
     logger.info(
-        "The mean length is %d observations for long track", c.nb_obs_by_tracks.mean(),
+        "The mean length is %d observations for long track",
+        c.nb_obs_by_tracks.mean(),
     )
 
     long_track.write_file(**kw_write)
@@ -381,7 +383,14 @@ def track(
 
 
 def get_group(
-    dataset1, dataset2, index1, index2, score, invalid=2, low=10, high=60,
+    dataset1,
+    dataset2,
+    index1,
+    index2,
+    score,
+    invalid=2,
+    low=10,
+    high=60,
 ):
     group1, group2 = dict(), dict()
     m_valid = (score * 100) >= invalid
@@ -490,7 +499,8 @@ def get_values(v, dataset):
             ]
 
     labels = dict(
-        high=f"{high:0.0f} <= high", low=f"{invalid:0.0f} <= low < {low:0.0f}",
+        high=f"{high:0.0f} <= high",
+        low=f"{invalid:0.0f} <= low < {low:0.0f}",
     )
 
     keys = [labels.get(key, key) for key in list(gr_ref.values())[0].keys()]
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index c1a752ee..5c4cdcaf 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -76,7 +76,9 @@ def subset_network():
         help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
     )
     parser.add_argument(
-        "--remove_trash", action="store_true", help="Remove trash (network id == 0)",
+        "--remove_trash",
+        action="store_true",
+        help="Remove trash (network id == 0)",
     )
     parser.add_argument(
         "-p",
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index f6db848b..59a042fe 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -61,13 +61,13 @@ def __init__(
         """
         Create amplitude object
 
-        :param Contours contour:
-        :param float contour_height:
-        :param array data:
-        :param float interval:
+        :param Contours contour: usefull class defined below
+        :param float contour_height: field value of the contour
+        :param array data: grid
+        :param float interval: step between two contours
         :param int mle: maximum number of local extrema in contour
-        :param int nb_step_min: number of intervals to consider an eddy
-        :param int nb_step_to_be_mle: number of intervals to be considered as an another maxima
+        :param int nb_step_min: minimum number of intervals to consider the contour as an eddy
+        :param int nb_step_to_be_mle: number of intervals to be considered as another extrema
         """
 
         # Height of the contour
@@ -116,8 +116,7 @@ def within_amplitude_limits(self):
     def all_pixels_below_h0(self, level):
         """
         Check CSS11 criterion 1: The SSH values of all of the pixels
-        are below (above) a given SSH threshold for cyclonic (anticyclonic)
-        eddies.
+        are below a given SSH threshold for cyclonic eddies.
         """
         # In some cases pixel value may be very close to the contour bounds
         if self.sla.mask.any() or ((self.sla.data - self.h_0) > self.EPSILON).any():
@@ -602,8 +601,8 @@ def display(
             4. - Amplitude criterion (yellow)
         :param str field:
             Must be 'shape_error', 'x', 'y' or 'radius'.
-            If define display_criterion is not use.
-            bins argument must be define
+            If defined display_criterion is not use.
+            bins argument must be defined
         :param array bins: bins used to colorize contour
         :param str cmap: Name of cmap for field display
         :param dict kwargs: look at :py:meth:`matplotlib.collections.LineCollection`
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 544fd5f5..6fea0ace 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -68,7 +68,7 @@ def get_missing_indices(
 
 def advect(x, y, c, t0, n_days):
     """
-    Advect particle from t0 to t0 + n_days, with data cube.
+    Advect particles from t0 to t0 + n_days, with data cube.
 
     :param np.array(float) x: longitude of particles
     :param np.array(float) y: latitude  of particles
@@ -87,7 +87,17 @@ def advect(x, y, c, t0, n_days):
     return t, x, y
 
 
-def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
+def particle_candidate(
+    c,
+    eddies,
+    step_mesh,
+    t_start,
+    i_target,
+    pct,
+    contour_start="speed",
+    contour_end="effective",
+    **kwargs
+):
     """Select particles within eddies, advect them, return target observation and associated percentages
 
     :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
@@ -95,6 +105,8 @@ def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     :param int t_start: julian day of the advection
     :param np.array(int) i_target: corresponding obs where particles are advected
     :param np.array(int) pct: corresponding percentage of avected particles
+    :param str contour_start: contour where particles are injected
+    :param str contour_end: contour where particles are counted after advection
     :params dict kwargs: dict of params given to `advect`
 
     """
@@ -105,7 +117,14 @@ def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     # to be able to get global index
     translate_start = where(m_start)[0]
 
-    x, y, i_start = e.create_particles(step_mesh)
+    # Create particles in specified contour
+    if contour_start == "speed":
+        x, y, i_start = e.create_particles(step_mesh, intern=True)
+    elif contour_start == "effective":
+        x, y, i_start = e.create_particles(step_mesh, intern=False)
+    else:
+        x, y, i_start = e.create_particles(step_mesh, intern=True)
+        print("The contour_start was not correct, speed contour is used")
 
     # Advection
     t_end, x, y = advect(x, y, c, t_start, **kwargs)
@@ -117,8 +136,14 @@ def particle_candidate(c, eddies, step_mesh, t_start, i_target, pct, **kwargs):
     # to be able to get global index
     translate_end = where(m_end)[0]
 
-    # Id eddies for each alive particle (in core and extern)
-    i_end = e_end.contains(x, y)
+    # Id eddies for each alive particle in specified contour
+    if contour_end == "speed":
+        i_end = e_end.contains(x, y, intern=True)
+    elif contour_end == "effective":
+        i_end = e_end.contains(x, y, intern=False)
+    else:
+        i_end = e_end.contains(x, y, intern=True)
+        print("The contour_end was not correct, speed contour is used")
 
     # compute matrix and fill target array
     get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
@@ -206,7 +231,7 @@ def filled_by_interpolation(self, mask):
             )
 
     def insert_virtual(self):
-        """insert virtual observations on segments where observations are missing"""
+        """Insert virtual observations on segments where observations are missing"""
 
         dt_theorical = median(self.time[1:] - self.time[:-1])
         indices = self.get_missing_indices(dt_theorical)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index cb6d3986..0ae80634 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -23,6 +23,9 @@
     zeros,
 )
 
+import netCDF4
+import zarr
+
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
@@ -147,7 +150,7 @@ def get_missing_indices(self, dt):
         )
 
     def fix_next_previous_obs(self):
-        """function used after 'insert_virtual', to correct next_obs and
+        """Function used after 'insert_virtual', to correct next_obs and
         previous obs.
         """
 
@@ -577,7 +580,7 @@ def close_network(self, other, nb_obs_min=10, **kwargs):
         return other.extract_with_mask(m)
 
     def normalize_longitude(self):
-        """Normalize all longitude
+        """Normalize all longitudes
 
         Normalize longitude field and in the same range :
         - longitude_max
@@ -677,7 +680,13 @@ def display_timeline(
         """
         self.only_one_network()
         j = 0
-        line_kw = dict(ls="-", marker="+", markersize=6, zorder=1, lw=3,)
+        line_kw = dict(
+            ls="-",
+            marker="+",
+            markersize=6,
+            zorder=1,
+            lw=3,
+        )
         line_kw.update(kwargs)
         mappables = dict(lines=list())
 
@@ -719,7 +728,7 @@ def display_timeline(
     def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="roll"):
         """Mark events in plot"""
         j = 0
-        events = dict(spliting=[], merging=[])
+        events = dict(splitting=[], merging=[])
 
         # TODO : fill mappables dict
         y_seg = dict()
@@ -784,15 +793,15 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                     )
                 )
                 ax.plot((x[0], _time[i_p]), (y0, y1), **event_kw)[0]
-                events["spliting"].append((x[0], y0))
+                events["splitting"].append((x[0], y0))
 
             j += 1
 
         kwargs = dict(color="k", zorder=-1, linestyle=" ")
-        if len(events["spliting"]) > 0:
-            X, Y = list(zip(*events["spliting"]))
+        if len(events["splitting"]) > 0:
+            X, Y = list(zip(*events["splitting"]))
             ref = ax.plot(
-                X, Y, marker="*", markersize=12, label="spliting events", **kwargs
+                X, Y, marker="*", markersize=12, label="splitting events", **kwargs
             )[0]
             mappables.setdefault("events", []).append(ref)
 
@@ -910,7 +919,10 @@ def event_map(self, ax, **kwargs):
         """Add the merging and splitting events to a map"""
         j = 0
         mappables = dict()
-        symbol_kw = dict(markersize=10, color="k",)
+        symbol_kw = dict(
+            markersize=10,
+            color="k",
+        )
         symbol_kw.update(kwargs)
         symbol_kw_split = symbol_kw.copy()
         symbol_kw_split["markersize"] += 4
@@ -939,7 +951,13 @@ def event_map(self, ax, **kwargs):
         return mappables
 
     def scatter(
-        self, ax, name="time", factor=1, ref=None, edgecolor_cycle=None, **kwargs,
+        self,
+        ax,
+        name="time",
+        factor=1,
+        ref=None,
+        edgecolor_cycle=None,
+        **kwargs,
     ):
         """
         This function scatters the path of each network, with the merging and splitting events
@@ -1001,6 +1019,8 @@ def segment_track_array(self):
         return build_unique_array(self.segment, self.track)
 
     def birth_event(self):
+        """Extract birth events.
+        Advice : individual eddies (self.track == 0) should be removed before -> apply remove_trash."""
         # FIXME how to manage group 0
         indices = list()
         previous_obs = self.previous_obs
@@ -1014,6 +1034,8 @@ def birth_event(self):
         return self.extract_event(list(set(indices)))
 
     def death_event(self):
+        """Extract death events.
+        Advice : individual eddies (self.track == 0) should be removed before -> apply remove_trash."""
         # FIXME how to manage group 0
         indices = list()
         next_obs = self.next_obs
@@ -1064,7 +1086,7 @@ def merging_event(self, triplet=False, only_index=False):
             else:
                 return self.extract_event(idx_m1)
 
-    def spliting_event(self, triplet=False, only_index=False):
+    def splitting_event(self, triplet=False, only_index=False):
         """Return observation before a splitting event.
 
         If `triplet=True` return the eddy before a splitting event, the eddy after the splitting event,
@@ -1105,7 +1127,7 @@ def spliting_event(self, triplet=False, only_index=False):
 
     def dissociate_network(self):
         """
-        Dissociate networks with no known interaction (spliting/merging)
+        Dissociate networks with no known interaction (splitting/merging)
         """
 
         tags = self.tag_segment(multi_network=True)
@@ -1183,7 +1205,7 @@ def fully_connected(self):
 
     def remove_trash(self):
         """
-        Remove the lonely eddies (only 1 obs in segment, associated segment number is 0)
+        Remove the lonely eddies (only 1 obs in segment, associated network number is 0)
         """
         return self.extract_with_mask(self.track != 0)
 
@@ -1372,7 +1394,7 @@ def analysis_coherence(
         date_function,
         uv_params,
         advection_mode="both",
-        dt_advect=14,
+        n_days=14,
         step_mesh=1.0 / 50,
         output_name=None,
         dissociate_network=False,
@@ -1380,7 +1402,26 @@ def analysis_coherence(
         remove_dead_end=0,
     ):
 
-        """Global function to analyse segments coherence, with network preprocessing"""
+        """Global function to analyse segments coherence, with network preprocessing.
+        :param callable date_function: python function, takes as param `int` (julian day) and return
+            data filename associated to the date
+        :param dict uv_params: dict of parameters used by
+            :py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list`
+        :param int n_days: nuber of days for advection
+        :param float step_mesh: step for particule mesh in degrees
+        :param str output_name: path/name for the output (without extension) to store the clean
+            network in .nc and the coherence results in .zarr. Works only for advection_mode = "both"
+        :param bool dissociate_network: If True apply
+            :py:meth:`~py_eddy_tracker.observation.network.NetworkObservations.dissociate_network`
+        :param int correct_close_events: Number of days in
+            :py:meth:`~py_eddy_tracker.observation.network.NetworkObservations.correct_close_events`
+        :param int remove_dead_end: Number of days in
+            :py:meth:`~py_eddy_tracker.observation.network.NetworkObservations.remove_dead_end`
+        :return target_forward, target_bakward: 2D numpy.array with the eddy observation the
+            particles ended in after advection
+        :return target_forward, target_bakward: percentage of ending particles within the
+            eddy observation with regards to the starting number
+        """
 
         if dissociate_network:
             self.dissociate_network()
@@ -1393,19 +1434,53 @@ def analysis_coherence(
         else:
             network_clean = self
 
-        res = network_clean.segment_coherence(
-            date_function=date_function,
-            uv_params=uv_params,
-            advection_mode=advection_mode,
-            output_name=output_name,
-            dt_advect=dt_advect,
-            step_mesh=step_mesh,
-        )
+        network_clean.numbering_segment()
+
+        res = []
+        if (advection_mode == "both") | (advection_mode == "forward"):
+            target_forward, pct_forward = network_clean.segment_coherence_forward(
+                date_function=date_function,
+                uv_params=uv_params,
+                n_days=n_days,
+                step_mesh=step_mesh,
+            )
+            res = res + [target_forward, pct_forward]
+
+        if (advection_mode == "both") | (advection_mode == "backward"):
+            target_backward, pct_backward = network_clean.segment_coherence_backward(
+                date_function=date_function,
+                uv_params=uv_params,
+                n_days=n_days,
+                step_mesh=step_mesh,
+            )
+            res = res + [target_backward, pct_backward]
+
+        if (output_name is not None) & (advection_mode == "both"):
+            # TODO : put some path verification?
+            # Save the clean network in netcdf
+            with netCDF4.Dataset(output_name + ".nc", "w") as fh:
+                network_clean.to_netcdf(fh)
+            # Save the results of particles advection in zarr
+            # zarr compression parameters
+            # TODO : check size? compression?
+            params_seg = dict()
+            params_pct = dict()
+            zg = zarr.open(output_name + ".zarr", mode="w")
+            zg.array("target_forward", target_forward, **params_seg)
+            zg.array("pct_forward", pct_forward, **params_pct)
+            zg.array("target_backward", target_backward, **params_seg)
+            zg.array("pct_backward", pct_backward, **params_pct)
 
         return network_clean, res
 
     def segment_coherence_backward(
-        self, date_function, uv_params, n_days=14, step_mesh=1.0 / 50, output_name=None,
+        self,
+        date_function,
+        uv_params,
+        n_days=14,
+        step_mesh=1.0 / 50,
+        contour_start="speed",
+        contour_end="speed",
     ):
 
         """
@@ -1434,7 +1509,7 @@ def date2file(julian_day):
         itb_final = -ones((self.obs.size, 2), dtype="i4")
         ptb_final = zeros((self.obs.size, 2), dtype="i1")
 
-        t_start, t_end = self.period
+        t_start, t_end = int(self.period[0]), int(self.period[1])
 
         dates = arange(t_start, t_start + n_days + 1)
         first_files = [date_function(x) for x in dates]
@@ -1455,17 +1530,33 @@ def date2file(julian_day):
                 # add next date to GridCollection and delete last date
                 c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
             particle_candidate(
-                c, self, step_mesh, _t, itb_final, ptb_final, n_days=-n_days
+                c,
+                self,
+                step_mesh,
+                _t,
+                itb_final,
+                ptb_final,
+                n_days=-n_days,
+                contour_start=contour_start,
+                contour_end=contour_end,
+            )
+            logger.info(
+                (
+                    f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
+                    f" : {time.time()-_timestamp:5.2f}s"
+                )
             )
-            logger.info((
-                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
-                f" : {time.time()-_timestamp:5.2f}s"
-            ))
 
         return itb_final, ptb_final
 
     def segment_coherence_forward(
-        self, date_function, uv_params, n_days=14, step_mesh=1.0 / 50,
+        self,
+        date_function,
+        uv_params,
+        n_days=14,
+        step_mesh=1.0 / 50,
+        contour_start="speed",
+        contour_end="speed",
     ):
 
         """
@@ -1494,7 +1585,7 @@ def date2file(julian_day):
         itf_final = -ones((self.obs.size, 2), dtype="i4")
         ptf_final = zeros((self.obs.size, 2), dtype="i1")
 
-        t_start, t_end = self.period
+        t_start, t_end = int(self.period[0]), int(self.period[1])
         # if begin is not None and begin > t_start:
         #     t_start = begin
         # if end is not None and end < t_end:
@@ -1519,12 +1610,22 @@ def date2file(julian_day):
                 # add next date to GridCollection and delete last date
                 c.shift_files(t_shift, date_function(int(t_shift)), **uv_params)
             particle_candidate(
-                c, self, step_mesh, _t, itf_final, ptf_final, n_days=n_days
+                c,
+                self,
+                step_mesh,
+                _t,
+                itf_final,
+                ptf_final,
+                n_days=n_days,
+                contour_start=contour_start,
+                contour_end=contour_end,
+            )
+            logger.info(
+                (
+                    f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
+                    f" : {time.time()-_timestamp:5.2f}s"
+                )
             )
-            logger.info((
-                f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
-                f" : {time.time()-_timestamp:5.2f}s"
-            ))
         return itf_final, ptf_final
 
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index db0c2a45..dec9a6b0 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -702,7 +702,11 @@ def load_file(cls, filename, **kwargs):
         .. code-block:: python
 
             kwargs_latlon_300 = dict(
-                include_vars=["longitude", "latitude",], indexs=dict(obs=slice(0, 300)),
+                include_vars=[
+                    "longitude",
+                    "latitude",
+                ],
+                indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(
                 filename, **kwargs_latlon_300
@@ -1973,7 +1977,11 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
 
     def format_label(self, label):
         t0, t1 = self.period
-        return label.format(t0=t0, t1=t1, nb_obs=len(self),)
+        return label.format(
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+        )
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
@@ -2283,7 +2291,7 @@ def nb_days(self):
         return self.period[1] - self.period[0] + 1
 
     def create_particles(self, step, intern=True):
-        """create particles only inside speed contour. Avoid creating too large numpy arrays, only to me masked
+        """Create particles inside contour (Default : speed contour). Avoid creating too large numpy arrays, only to be masked
 
         :param step: step for particles
         :type step: float
@@ -2345,7 +2353,14 @@ def grid_count_pixel_in(
         x_, y_ = reduce_size(x_, y_)
         v = create_vertice(x_, y_)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
-            v, x_bounds, y_bounds, xstep, ystep, N, is_circular, x_size,
+            v,
+            x_bounds,
+            y_bounds,
+            xstep,
+            ystep,
+            N,
+            is_circular,
+            x_size,
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
         grid_count_(grid, i, j)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 492842c7..3aa43387 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -578,7 +578,10 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(
-            t0=t0, t1=t1, nb_obs=len(self), nb_tracks=(self.nb_obs_by_track != 0).sum(),
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+            nb_tracks=(self.nb_obs_by_track != 0).sum(),
         )
 
     def plot(self, ax, ref=None, **kwargs):
@@ -702,7 +705,16 @@ def follow_obs(cls, i_next, track_id, used, ids, *args, **kwargs):
 
     @staticmethod
     def get_previous_obs(
-        i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs
+        i_current,
+        ids,
+        x,
+        y,
+        time_s,
+        time_e,
+        time_ref,
+        window,
+        min_overlap=0.01,
+        **kwargs,
     ):
         """Backward association of observations to the segments"""
         time_cur = int_(ids["time"][i_current])
@@ -720,7 +732,7 @@ def get_previous_obs(
             c = zeros(len(xj))
             c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
             # We remove low overlap
-            c[c < 0.01] = 0
+            c[c < min_overlap] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]
@@ -732,7 +744,18 @@ def get_previous_obs(
             break
 
     @staticmethod
-    def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwargs):
+    def get_next_obs(
+        i_current,
+        ids,
+        x,
+        y,
+        time_s,
+        time_e,
+        time_ref,
+        window,
+        min_overlap=0.01,
+        **kwargs,
+    ):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
         time_cur = int_(ids["time"][i_current])
@@ -752,7 +775,7 @@ def get_next_obs(i_current, ids, x, y, time_s, time_e, time_ref, window, **kwarg
             c = zeros(len(xj))
             c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
             # We remove low overlap
-            c[c < 0.01] = 0
+            c[c < min_overlap] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 34187357..2c89550a 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -7,7 +7,15 @@
 
 G = RegularGridDataset(get_demo_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
-contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
+contour = Path(
+    (
+        (-X, 0),
+        (X, 0),
+        (X, X),
+        (-X, X),
+        (-X, 0),
+    )
+)
 
 
 # contour

From 80c529a0981d3e56bc5efd4eddf0f165aa7c6a61 Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Tue, 17 Aug 2021 14:00:51 +0200
Subject: [PATCH 371/441] numba requires specific numpy version

because doc compil finds
error: numpy 1.21.2 is installed but numpy<1.21,>=1.17 is required by {'numba'}
---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 097e786a..477cf32d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,7 @@
 matplotlib
 netCDF4
 numba>=0.53
-numpy
+numpy<1.21
 opencv-python
 pint
 polygon3

From c63fea2adb614410dd0db4f969eac7ce0731fdec Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 16 Sep 2021 13:18:39 +0200
Subject: [PATCH 372/441] remove argument for conda setup

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index 941bb7aa..cf1de6f6 100644
--- a/environment.yml
+++ b/environment.yml
@@ -6,6 +6,6 @@ dependencies:
   - python=3.7
   - ffmpeg
   - pip:
-    - -r file:requirements.txt
+    - -r requirements.txt
     - pyeddytrackersample
     - .

From 3afb70969397e9f8b25e4fe95a81c10bd1e73915 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Sun, 26 Sep 2021 18:27:08 +0200
Subject: [PATCH 373/441] add changelog infos

---
 CHANGELOG.rst | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index f33f15dd..6c37a82f 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -19,6 +19,9 @@ Changed
 Fixed
 ^^^^^
 
+- Fix bug in convolution(filter), lowest rows was replace by zeros in convolution computation.
+  Important impact for tiny kernel
+
 Added
 ^^^^^
 

From a7ef56e6ec60012e6bf6d036e1d5b3c01a35bede Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 17 Sep 2021 20:52:04 +0200
Subject: [PATCH 374/441] Github : Apply test on Ubuntu & Windows for python
 37,38,39

---
 .github/workflows/python-app.yml | 20 ++++++++++++++------
 README.md                        |  2 ++
 2 files changed, 16 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 7fc9f385..286d9d6c 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -7,19 +7,27 @@ on: [push, pull_request]
 
 jobs:
   build:
-
-    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        # os: [ubuntu-latest, macos-latest, windows-latest]
+        os: [ubuntu-latest, windows-latest]
+        python_version: [3.7, 3.8, 3.9]
+    name: Run py eddy tracker build tests
+    runs-on: ${{ matrix.os }}
+    defaults:
+      run:
+        shell: bash -l {0}
 
     steps:
     - uses: actions/checkout@v2
-    - name: Set up Python 3.7
+    - name: Set up Python ${{ matrix.python_version }}
       uses: actions/setup-python@v2
       with:
-        python-version: 3.7
+        python-version: ${{ matrix.python_version }}
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install flake8 pytest
+        pip install flake8 pytest pytest-cov
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
     - name: Install package
       run: |
@@ -32,4 +40,4 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test with pytest
       run: |
-        pytest
+        pytest --cov src/py_eddy_tracker
diff --git a/README.md b/README.md
index 736bf9b7..e26e15ac 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,8 @@
 
 Method was described in :
 
+[Pegliasco, C., Delepoulle, A., Morrow, R., Faugère, Y., and Dibarboure, G.: META3.1exp : A new Global Mesoscale Eddy Trajectories Atlas derived from altimetry, Earth Syst. Sci. Data Discuss.](https://doi.org/10.5194/essd-2021-300)
+
 [Mason, E., A. Pascual, and J. C. McWilliams, 2014: A new sea surface height–based code for oceanic mesoscale eddy tracking.](https://doi.org/10.1175/JTECH-D-14-00019.1)
 
 ### Use case ###

From 98161f3f531c23879b6394e07bbbe015c9732de0 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Sat, 25 Sep 2021 16:14:49 +0200
Subject: [PATCH 375/441] Add dummy test on convolution => which detect an
 index error in original code(corrected)

---
 requirements.txt                            |  2 +-
 src/py_eddy_tracker/dataset/grid.py         |  4 +-
 src/py_eddy_tracker/observations/network.py | 26 +++---------
 tests/test_grid.py                          | 45 ++++++++++++++++-----
 4 files changed, 44 insertions(+), 33 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 477cf32d..c4ff9c41 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-matplotlib
+matplotlib<3.5
 netCDF4
 numba>=0.53
 numpy<1.21
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 6c8e332f..59cda040 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -680,6 +680,7 @@ def eddy_identification(
             )
             z_min, z_max = z_min_p, z_max_p
 
+        logger.debug("Levels from %f to %f", z_min, z_max)
         levels = arange(z_min - z_min % step, z_max - z_max % step + 2 * step, step)
 
         # Get x and y values
@@ -1404,7 +1405,8 @@ def convolve_filter_with_dynamic_kernel(
             tmp_matrix = ma.zeros((2 * d_lon + data.shape[0], k_shape[1]))
             tmp_matrix.mask = ones(tmp_matrix.shape, dtype=bool)
             # Slice to apply on input data
-            sl_lat_data = slice(max(0, i - d_lat), min(i + d_lat, data.shape[1]))
+            # +1 for upper bound, to take in acount this column
+            sl_lat_data = slice(max(0, i - d_lat), min(i + d_lat + 1, data.shape[1]))
             # slice to apply on temporary matrix to store input data
             sl_lat_in = slice(
                 d_lat - (i - sl_lat_data.start), d_lat + (sl_lat_data.stop - i)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0ae80634..90bf6b70 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -6,6 +6,8 @@
 import time
 from glob import glob
 
+import netCDF4
+import zarr
 from numba import njit
 from numpy import (
     arange,
@@ -23,9 +25,6 @@
     zeros,
 )
 
-import netCDF4
-import zarr
-
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
@@ -680,13 +679,7 @@ def display_timeline(
         """
         self.only_one_network()
         j = 0
-        line_kw = dict(
-            ls="-",
-            marker="+",
-            markersize=6,
-            zorder=1,
-            lw=3,
-        )
+        line_kw = dict(ls="-", marker="+", markersize=6, zorder=1, lw=3,)
         line_kw.update(kwargs)
         mappables = dict(lines=list())
 
@@ -919,10 +912,7 @@ def event_map(self, ax, **kwargs):
         """Add the merging and splitting events to a map"""
         j = 0
         mappables = dict()
-        symbol_kw = dict(
-            markersize=10,
-            color="k",
-        )
+        symbol_kw = dict(markersize=10, color="k",)
         symbol_kw.update(kwargs)
         symbol_kw_split = symbol_kw.copy()
         symbol_kw_split["markersize"] += 4
@@ -951,13 +941,7 @@ def event_map(self, ax, **kwargs):
         return mappables
 
     def scatter(
-        self,
-        ax,
-        name="time",
-        factor=1,
-        ref=None,
-        edgecolor_cycle=None,
-        **kwargs,
+        self, ax, name="time", factor=1, ref=None, edgecolor_cycle=None, **kwargs,
     ):
         """
         This function scatters the path of each network, with the merging and splitting events
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 2c89550a..759a40e1 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -1,5 +1,5 @@
 from matplotlib.path import Path
-from numpy import array, isnan, ma
+from numpy import arange, array, isnan, ma, nan, ones, zeros
 from pytest import approx
 
 from py_eddy_tracker.data import get_demo_path
@@ -7,15 +7,7 @@
 
 G = RegularGridDataset(get_demo_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
-contour = Path(
-    (
-        (-X, 0),
-        (X, 0),
-        (X, X),
-        (-X, X),
-        (-X, 0),
-    )
-)
+contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
 
 
 # contour
@@ -85,3 +77,36 @@ def test_interp():
     assert g.interp("z", x0, y0) == 1.5
     assert g.interp("z", x1, y1) == 2
     assert isnan(g.interp("z", x2, y2))
+
+
+def test_convolution():
+    """
+    Add some dummy check on convolution filter
+    """
+    # Fake grid
+    z = ma.array(
+        arange(12).reshape((-1, 1)) * arange(10).reshape((1, -1)),
+        mask=zeros((12, 10), dtype="bool"),
+        dtype="f4",
+    )
+    g = RegularGridDataset.with_array(
+        coordinates=("x", "y"),
+        datas=dict(z=z, x=arange(0, 6, 0.5), y=arange(0, 5, 0.5),),
+        centered=True,
+    )
+
+    def kernel_func(lat):
+        return ones((3, 3))
+
+    # After transpose we must get same result
+    d = g.convolve_filter_with_dynamic_kernel("z", kernel_func)
+    assert (d.T[:9, :9] == d[:9, :9]).all()
+    # We mask one value and check convolution result
+    z.mask[2, 2] = True
+    d = g.convolve_filter_with_dynamic_kernel("z", kernel_func)
+    assert d[1, 1] == z[:3, :3].sum() / 8
+    # Add nan and check only nearest value is contaminate
+    z[2, 2] = nan
+    d = g.convolve_filter_with_dynamic_kernel("z", kernel_func)
+    assert not isnan(d[0, 0])
+    assert isnan(d[1:4, 1:4]).all()

From e49e1232bf5979791b341386d6dddc9d0b771043 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Mon, 11 Oct 2021 15:53:44 +0200
Subject: [PATCH 376/441] change get_color() to get_edgecolor

---
 requirements.txt                    | 2 +-
 src/py_eddy_tracker/eddy_feature.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index c4ff9c41..477cf32d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-matplotlib<3.5
+matplotlib
 netCDF4
 numba>=0.53
 numpy<1.21
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 59a042fe..d2616957 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -646,7 +646,7 @@ def display(
                     paths.append(i.vertices)
             local_kwargs = kwargs.copy()
             if "color" not in kwargs:
-                local_kwargs["color"] = collection.get_color()
+                local_kwargs["color"] = collection.get_edgecolor()
                 local_kwargs.pop("label", None)
             elif j != 0:
                 local_kwargs.pop("label", None)

From 25bf0ee2f6287ddc68aa704e1d1f6343e03d3c1d Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 19 Oct 2021 22:13:12 +0200
Subject: [PATCH 377/441] Add option to manage issue #111

---
 CHANGELOG.rst                       |  2 ++
 src/py_eddy_tracker/dataset/grid.py | 16 +++++++++++++++-
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 6c37a82f..75cc2dd0 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -25,6 +25,8 @@ Fixed
 Added
 ^^^^^
 
+- Allow to replace mask by isnan method to manage nan data instead of masked data
+
 [3.5.0] - 2021-06-22
 --------------------
 
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 59cda040..2bb5b70d 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -258,6 +258,7 @@ class GridDataset(object):
         "global_attrs",
         "vars",
         "contours",
+        "nan_mask",
     )
 
     GRAVITY = 9.807
@@ -267,7 +268,14 @@ class GridDataset(object):
     N = 1
 
     def __init__(
-        self, filename, x_name, y_name, centered=None, indexs=None, unset=False
+        self,
+        filename,
+        x_name,
+        y_name,
+        centered=None,
+        indexs=None,
+        unset=False,
+        nan_masking=False,
     ):
         """
         :param str filename: Filename to load
@@ -276,6 +284,7 @@ def __init__(
         :param bool,None centered: Allow to know how coordinates could be used with pixel
         :param dict indexs: A dictionary that sets indexes to use for non-coordinate dimensions
         :param bool unset: Set to True to create an empty grid object without file
+        :param bool nan_masking: Set to True to replace data.mask with isnan method result
         """
         self.dimensions = None
         self.variables_description = None
@@ -286,6 +295,7 @@ def __init__(
         self.y_bounds = None
         self.x_dim = None
         self.y_dim = None
+        self.nan_mask = nan_masking
         self.centered = centered
         self.contours = None
         self.filename = filename
@@ -519,6 +529,10 @@ def grid(self, varname, indexs=None):
                     if i_x > i_y:
                         self.variables_description[varname]["infos"]["transpose"] = True
                         self.vars[varname] = self.vars[varname].T
+            if self.nan_mask:
+                self.vars[varname] = ma.array(
+                    self.vars[varname], mask=isnan(self.vars[varname]),
+                )
             if not hasattr(self.vars[varname], "mask"):
                 self.vars[varname] = ma.array(
                     self.vars[varname],

From c7255e40ec96861c62635f7cc72f72ca7ff98554 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 26 Oct 2021 12:08:04 +0200
Subject: [PATCH 378/441] remove coverage

---
 .github/workflows/python-app.yml | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 286d9d6c..a6fcceed 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -38,6 +38,3 @@ jobs:
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    - name: Test with pytest
-      run: |
-        pytest --cov src/py_eddy_tracker

From c434372c3f8a05155eb4fdbe4b9996969f3b661e Mon Sep 17 00:00:00 2001
From: Cori Pegliasco <cpegliasco@groupcls.com>
Date: Tue, 23 Nov 2021 14:18:27 +0100
Subject: [PATCH 379/441] Resample contours in output form after fitting
 circles

- add parameter presampling_multiplier to evenly over-resample before fitting circles
- fit circles to get eddy parameters (radius, area, etc)
- resample the contours with the output sampling
---
 src/py_eddy_tracker/dataset/grid.py | 66 +++++++++++++++++++----------
 src/py_eddy_tracker/poly.py         |  2 +-
 2 files changed, 44 insertions(+), 24 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 2bb5b70d..5b884b68 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -607,6 +607,7 @@ def eddy_identification(
         date,
         step=0.005,
         shape_error=55,
+        presampling_multiplier=10,
         sampling=50,
         sampling_method="visvalingam",
         pixel_limit=None,
@@ -624,8 +625,10 @@ def eddy_identification(
         :param datetime.datetime date: Date to be stored in object to date data
         :param float,int step: Height between two layers in m
         :param float,int shape_error: Maximal error allowed for outermost contour in %
+        :param int presampling_multiplier:
+            Evenly oversample the initial number of points in the contour by nb_pts x presampling_multiplier to fit circles
         :param int sampling: Number of points to store contours and speed profile
-        :param str sampling_method: Method to resample, 'uniform' or 'visvalingam'
+        :param str sampling_method: Method to resample the stored contours, 'uniform' or 'visvalingam'
         :param (int,int),None pixel_limit:
             Min and max number of pixels inside the inner and the outermost contour to be considered as an eddy
         :param float,None precision: Truncate values at the defined precision in m
@@ -849,42 +852,59 @@ def eddy_identification(
                     obs.amplitude[:] = amp.amplitude
                     obs.speed_average[:] = max_average_speed
                     obs.num_point_e[:] = contour.lon.shape[0]
-                    xy_e = resample(contour.lon, contour.lat, **out_sampling)
-                    obs.contour_lon_e[:], obs.contour_lat_e[:] = xy_e
                     obs.num_point_s[:] = speed_contour.lon.shape[0]
-                    xy_s = resample(
-                        speed_contour.lon, speed_contour.lat, **out_sampling
-                    )
-                    obs.contour_lon_s[:], obs.contour_lat_s[:] = xy_s
 
-                    # FIXME : we use a contour without resampling
-                    # First, get position based on innermost contour
-                    centlon_i, centlat_i, _, _ = _fit_circle_path(
-                        create_vertice(inner_contour.lon, inner_contour.lat)
+                    # Evenly resample contours with nb_pts = nb_pts_original x presampling_multiplier
+                    xy_i = uniform_resample(
+                        inner_contour.lon,
+                        inner_contour.lat,
+                        num_fac=presampling_multiplier
+                        )
+                    xy_e = uniform_resample(
+                        contour.lon,
+                        contour.lat,
+                        num_fac=presampling_multiplier,
                     )
-                    # Second, get speed-based radius based on contour of max uavg
+                    xy_s = uniform_resample(
+                        speed_contour.lon,
+                        speed_contour.lat,
+                        num_fac=presampling_multiplier,
+                    )
+
+                    # First, get position of max SSH based on best fit circle with resampled innermost contour
+                    centlon_i, centlat_i, _, _ = _fit_circle_path(create_vertice(*xy_i))
+                    obs.lon_max[:] = centlon_i
+                    obs.lat_max[:] = centlat_i
+
+                    # Second, get speed-based radius, shape error, eddy center, area based on resampled contour of max uavg
                     centlon_s, centlat_s, eddy_radius_s, aerr_s = _fit_circle_path(
                         create_vertice(*xy_s)
                     )
-                    # Compute again to use resampled contour
-                    _, _, eddy_radius_e, aerr_e = _fit_circle_path(
-                        create_vertice(*xy_e)
-                    )
-
                     obs.radius_s[:] = eddy_radius_s
-                    obs.radius_e[:] = eddy_radius_e
-                    obs.shape_error_e[:] = aerr_e
                     obs.shape_error_s[:] = aerr_s
                     obs.speed_area[:] = poly_area(
                         *coordinates_to_local(*xy_s, lon0=centlon_s, lat0=centlat_s)
                     )
+                    obs.lon[:] = centlon_s
+                    obs.lat[:] = centlat_s
+
+                    # Third, compute effective radius, shape error, area from resampled effective contour
+                    _, _, eddy_radius_e, aerr_e = _fit_circle_path(
+                        create_vertice(*xy_e)
+                    )
+                    obs.radius_e[:] = eddy_radius_e
+                    obs.shape_error_e[:] = aerr_e
                     obs.effective_area[:] = poly_area(
                         *coordinates_to_local(*xy_e, lon0=centlon_s, lat0=centlat_s)
                     )
-                    obs.lon[:] = centlon_s
-                    obs.lat[:] = centlat_s
-                    obs.lon_max[:] = centlon_i
-                    obs.lat_max[:] = centlat_i
+
+                    # Finally, resample contours with output parameters
+                    xy_e_f = resample(*xy_e, **out_sampling)
+                    xy_s_f = resample(*xy_s, **out_sampling)
+
+                    obs.contour_lon_s[:], obs.contour_lat_s[:] = xy_s_f
+                    obs.contour_lon_e[:], obs.contour_lat_e[:] = xy_e_f
+
                     if aerr > 99.9 or aerr_s > 99.9:
                         logger.warning(
                             "Strange shape at this step! shape_error : %f, %f",
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 0f0271ee..56fb55e7 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -86,7 +86,7 @@ def poly_area_vertice(v):
 @njit(cache=True)
 def poly_area(x, y):
     """
-    Must be call with local coordinates (in m, to get an area in m²).
+    Must be called with local coordinates (in m, to get an area in m²).
 
     :param array x:
     :param array y:

From 573c4f5e6991a41004fd9bcbaa72d04fe5c0cbfa Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 2 Sep 2021 13:30:02 +0200
Subject: [PATCH 380/441] Add information about animation #102

---
 examples/08_tracking_manipulation/pet_track_anim.py           | 4 +++-
 .../pet_track_anim_matplotlib_animation.py                    | 4 +++-
 .../08_tracking_manipulation/pet_track_anim.ipynb             | 4 ++--
 .../pet_track_anim_matplotlib_animation.ipynb                 | 4 ++--
 4 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/examples/08_tracking_manipulation/pet_track_anim.py b/examples/08_tracking_manipulation/pet_track_anim.py
index 0c18a0ba..94e09ad3 100644
--- a/examples/08_tracking_manipulation/pet_track_anim.py
+++ b/examples/08_tracking_manipulation/pet_track_anim.py
@@ -2,7 +2,9 @@
 Track animation
 ===============
 
-Run in a terminal this script, which allow to watch eddy evolution
+Run in a terminal this script, which allow to watch eddy evolution.
+
+You could use also *EddyAnim* script to display/save animation.
 
 """
 import py_eddy_tracker_sample
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 6776b47e..59b21527 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -2,7 +2,9 @@
 Track animation with standard matplotlib
 ========================================
 
-Run in a terminal this script, which allow to watch eddy evolution
+Run in a terminal this script, which allow to watch eddy evolution.
+
+You could use also *EddyAnim* script to display/save animation.
 
 """
 import re
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
index 65768145..08364d16 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Track animation\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+        "\nTrack animation\n===============\n\nRun in a terminal this script, which allow to watch eddy evolution.\n\nYou could use also *EddyAnim* script to display/save animation.\n"
       ]
     },
     {
@@ -82,7 +82,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index 6d7fcc2e..bcd4ba74 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Track animation with standard matplotlib\n\nRun in a terminal this script, which allow to watch eddy evolution\n"
+        "\nTrack animation with standard matplotlib\n========================================\n\nRun in a terminal this script, which allow to watch eddy evolution.\n\nYou could use also *EddyAnim* script to display/save animation.\n"
       ]
     },
     {
@@ -93,7 +93,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,

From b357421817442f3e8637dc2736c27365e344c4bf Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 13 Dec 2021 11:11:30 +0100
Subject: [PATCH 381/441] Loopers (#118)

* Add short example about loopers and eddies
---
 CHANGELOG.rst                                 |   2 +
 examples/06_grid_manipulation/pet_advect.py   |   2 +-
 examples/06_grid_manipulation/pet_lavd.py     |   8 +-
 examples/07_cube_manipulation/pet_cube.py     |   2 +-
 .../pet_track_anim_matplotlib_animation.py    |   2 +-
 .../pet_normalised_lifetime.py                |  18 +-
 .../12_external_data/pet_drifter_loopers.py   | 153 ++++++++++++++
 examples/16_network/pet_follow_particle.py    |   2 +-
 examples/16_network/pet_group_anim.py         |   2 +-
 examples/16_network/pet_ioannou_2017_case.py  |   2 +-
 examples/16_network/pet_segmentation_anim.py  |   5 +-
 .../06_grid_manipulation/pet_advect.ipynb     |  18 +-
 .../06_grid_manipulation/pet_lavd.ipynb       |  20 +-
 .../07_cube_manipulation/pet_cube.ipynb       |  14 +-
 .../pet_track_anim_matplotlib_animation.ipynb |   4 +-
 .../pet_normalised_lifetime.ipynb             |  12 +-
 .../pet_drifter_loopers.ipynb                 | 191 ++++++++++++++++++
 .../16_network/pet_follow_particle.ipynb      |   8 +-
 .../16_network/pet_group_anim.ipynb           |  10 +-
 .../16_network/pet_ioannou_2017_case.ipynb    |  22 +-
 .../16_network/pet_segmentation_anim.ipynb    |   2 +-
 .../data/loopers_lumpkin_med.nc               | Bin 0 -> 244130 bytes
 src/py_eddy_tracker/observations/network.py   |   4 +-
 .../observations/observation.py               |   3 +-
 src/py_eddy_tracker/observations/tracking.py  |  13 +-
 src/py_eddy_tracker/poly.py                   |  20 +-
 26 files changed, 432 insertions(+), 107 deletions(-)
 create mode 100644 examples/12_external_data/pet_drifter_loopers.py
 create mode 100644 notebooks/python_module/12_external_data/pet_drifter_loopers.ipynb
 create mode 100644 src/py_eddy_tracker/data/loopers_lumpkin_med.nc

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 75cc2dd0..c6ab4cac 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -21,11 +21,13 @@ Fixed
 
 - Fix bug in convolution(filter), lowest rows was replace by zeros in convolution computation.
   Important impact for tiny kernel
+- Fix method of sampling before contour fitting
 
 Added
 ^^^^^
 
 - Allow to replace mask by isnan method to manage nan data instead of masked data
+- Add drifter colocation example
 
 [3.5.0] - 2021-06-22
 --------------------
diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 0e00697f..1a98536a 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -50,7 +50,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index e597821c..89d64108 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -65,7 +65,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
@@ -159,11 +159,7 @@ def update(i_frame):
 # Format LAVD data
 lavd = RegularGridDataset.with_array(
     coordinates=("lon", "lat"),
-    datas=dict(
-        lavd=lavd.T,
-        lon=x_g,
-        lat=y_g,
-    ),
+    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),
     centered=True,
 )
 
diff --git a/examples/07_cube_manipulation/pet_cube.py b/examples/07_cube_manipulation/pet_cube.py
index a674359d..7f30c4e1 100644
--- a/examples/07_cube_manipulation/pet_cube.py
+++ b/examples/07_cube_manipulation/pet_cube.py
@@ -31,7 +31,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 59b21527..81e57e59 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -30,7 +30,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/10_tracking_diagnostics/pet_normalised_lifetime.py b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
index 73e5274e..1c84a8cc 100644
--- a/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_normalised_lifetime.py
@@ -65,14 +65,14 @@ def eddy_norm_lifetime(self, name, nb, factor=1):
 # %%
 # Figure
 # ------
-fig, axs = plt.subplots(nrows=2, figsize=(8, 6))
+fig, (ax0, ax1) = plt.subplots(nrows=2, figsize=(8, 6))
 
-axs[0].set_title("Normalised Mean Radius")
-axs[0].plot(*AC_radius), axs[0].plot(*CC_radius)
-axs[0].set_ylabel("Radius (km)"), axs[0].grid()
-axs[0].set_xlim(0, 1), axs[0].set_ylim(0, None)
+ax0.set_title("Normalised Mean Radius")
+ax0.plot(*AC_radius), ax0.plot(*CC_radius)
+ax0.set_ylabel("Radius (km)"), ax0.grid()
+ax0.set_xlim(0, 1), ax0.set_ylim(0, None)
 
-axs[1].set_title("Normalised Mean Amplitude")
-axs[1].plot(*AC_amplitude, label="AC"), axs[1].plot(*CC_amplitude, label="CC")
-axs[1].set_ylabel("Amplitude (cm)"), axs[1].grid(), axs[1].legend()
-_ = axs[1].set_xlim(0, 1), axs[1].set_ylim(0, None)
+ax1.set_title("Normalised Mean Amplitude")
+ax1.plot(*AC_amplitude, label="AC"), ax1.plot(*CC_amplitude, label="CC")
+ax1.set_ylabel("Amplitude (cm)"), ax1.grid(), ax1.legend()
+_ = ax1.set_xlim(0, 1), ax1.set_ylim(0, None)
diff --git a/examples/12_external_data/pet_drifter_loopers.py b/examples/12_external_data/pet_drifter_loopers.py
new file mode 100644
index 00000000..92707906
--- /dev/null
+++ b/examples/12_external_data/pet_drifter_loopers.py
@@ -0,0 +1,153 @@
+"""
+Colocate looper with eddy from altimetry
+========================================
+
+All loopers data used in this example are a subset from the dataset described in this article
+[Lumpkin, R. : Global characteristics of coherent vortices from surface drifter trajectories](https://doi.org/10.1002/2015JC011435)
+"""
+
+import re
+
+import numpy as np
+import py_eddy_tracker_sample
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+
+from py_eddy_tracker import data
+from py_eddy_tracker.appli.gui import Anim
+from py_eddy_tracker.observations.tracking import TrackEddiesObservations
+
+
+# %%
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
+
+
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], aspect="equal")
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_title(title, weight="bold")
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))
+
+
+# %%
+# Load eddies dataset
+cyclonic_eddies = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
+)
+anticyclonic_eddies = TrackEddiesObservations.load_file(
+    py_eddy_tracker_sample.get_demo_path(
+        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
+    )
+)
+
+# %%
+# Load loopers dataset
+loopers_med = TrackEddiesObservations.load_file(
+    data.get_demo_path("loopers_lumpkin_med.nc")
+)
+
+# %%
+# Global view
+# ===========
+ax = start_axes("All drifters available in Med from Lumpkin dataset")
+loopers_med.plot(ax, lw=0.5, color="r", ref=-10)
+update_axes(ax)
+
+# %%
+# One segment of drifter
+# ======================
+#
+# Get a drifter segment (the indexes used have no correspondance with the original dataset).
+looper = loopers_med.extract_ids((3588,))
+fig = plt.figure(figsize=(16, 6))
+ax = fig.add_subplot(111, aspect="equal")
+looper.plot(ax, lw=0.5, label="Original position of drifter")
+looper_filtered = looper.copy()
+looper_filtered.position_filter(1, 13)
+s = looper_filtered.scatter(
+    ax,
+    "time",
+    cmap=plt.get_cmap("Spectral_r", 20),
+    label="Filtered position of drifter",
+)
+plt.colorbar(s).set_label("time (days from 1/1/1950)")
+ax.legend()
+ax.grid()
+
+# %%
+# Try to find a detected eddies with adt at same place. We used filtered track to simulate an eddy center
+match = looper_filtered.close_tracks(
+    anticyclonic_eddies, method="close_center", delta=0.1, nb_obs_min=50
+)
+fig = plt.figure(figsize=(16, 6))
+ax = fig.add_subplot(111, aspect="equal")
+looper.plot(ax, lw=0.5, label="Original position of drifter")
+looper_filtered.plot(ax, lw=1.5, label="Filtered position of drifter")
+match.plot(ax, lw=1.5, label="Matched eddy")
+ax.legend()
+ax.grid()
+
+# %%
+# Display radius of this 2 datasets.
+fig = plt.figure(figsize=(20, 8))
+ax = fig.add_subplot(111)
+ax.plot(looper.time, looper.radius_s / 1e3, label="loopers")
+looper_radius = looper.copy()
+looper_radius.median_filter(1, "time", "radius_s", inplace=True)
+looper_radius.loess_filter(13, "time", "radius_s", inplace=True)
+ax.plot(
+    looper_radius.time,
+    looper_radius.radius_s / 1e3,
+    label="loopers (filtered half window 13 days)",
+)
+ax.plot(match.time, match.radius_s / 1e3, label="altimetry")
+match_radius = match.copy()
+match_radius.median_filter(1, "time", "radius_s", inplace=True)
+match_radius.loess_filter(13, "time", "radius_s", inplace=True)
+ax.plot(
+    match_radius.time,
+    match_radius.radius_s / 1e3,
+    label="altimetry (filtered half window 13 days)",
+)
+ax.set_ylabel("radius(km)"), ax.set_ylim(0, 100)
+ax.legend()
+ax.set_title("Radius from loopers and altimeter")
+ax.grid()
+
+
+# %%
+# Animation of a drifter and its colocated eddy
+def update(frame):
+    # We display last 5 days of loopers trajectory
+    m = (looper.time < frame) * (looper.time > (frame - 5))
+    anim.func_animation(frame)
+    line.set_data(looper.lon[m], looper.lat[m])
+
+
+anim = Anim(match, intern=True, figsize=(8, 8), cmap="magma_r", nb_step=10, dpi=75)
+# mappable to show drifter in red
+line = anim.ax.plot([], [], "r", lw=4, zorder=100)[0]
+anim.fig.suptitle("")
+_ = VideoAnimation(anim.fig, update, frames=np.arange(*anim.period, 1), interval=125)
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 1c858879..dbe0753e 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -31,7 +31,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is used to create thumbnail which are not used but consumes same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 8ecee534..047f5820 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -29,7 +29,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index bbe26e3f..b02b846a 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -36,7 +36,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 340163a1..58f71188 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -27,7 +27,7 @@ def _repr_html_(self, *args, **kwargs):
 
     def save(self, *args, **kwargs):
         if args[0].endswith("gif"):
-            # In this case gif is use to create thumbnail which are not use but consume same time than video
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
             # So we create an empty file, to save time
             with open(args[0], "w") as _:
                 pass
@@ -96,8 +96,7 @@ def update(i_frame):
 
     indices_frames = INDICES[i_frame]
     mappable_CONTOUR.set_data(
-        e.contour_lon_e[indices_frames],
-        e.contour_lat_e[indices_frames],
+        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames],
     )
     mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])
     return (mappable_tracks,)
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index bceed074..79d69b0d 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Grid advection\n\nDummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.\n"
+        "\nGrid advection\n==============\n\nDummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.\n"
       ]
     },
     {
@@ -91,14 +91,14 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\nParticles setup\n\n"
+        "Anim\n----\nParticles setup\n\n"
       ]
     },
     {
@@ -152,7 +152,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Filament forward\nDraw 3 last position in one path for each particles.,\nit could be run backward with `backward=True` option in filament method\n\n"
+        "Filament forward\n^^^^^^^^^^^^^^^^\nDraw 3 last position in one path for each particles.,\nit could be run backward with `backward=True` option in filament method\n\n"
       ]
     },
     {
@@ -170,7 +170,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Particle forward\nForward advection of particles\n\n"
+        "Particle forward\n^^^^^^^^^^^^^^^^^\nForward advection of particles\n\n"
       ]
     },
     {
@@ -206,14 +206,14 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Particles stat\n\n"
+        "Particles stat\n--------------\n\n"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Time_step settings\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
+        "Time_step settings\n^^^^^^^^^^^^^^^^^^\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
       ]
     },
     {
@@ -231,7 +231,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Time duration\nWe keep same time_step but change time duration\n\n"
+        "Time duration\n^^^^^^^^^^^^^\nWe keep same time_step but change time duration\n\n"
       ]
     },
     {
@@ -262,7 +262,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index a5ca088c..c4a4da84 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+        "\nLAVD experiment\n===============\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
       ]
     },
     {
@@ -48,14 +48,14 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Data\nTo compute vorticity ($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
+        "Data\n----\nTo compute vorticity ($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
       ]
     },
     {
@@ -91,7 +91,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Particles\nParticles specification\n\n"
+        "Particles\n---------\nParticles specification\n\n"
       ]
     },
     {
@@ -109,7 +109,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## LAVD\n\n"
+        "LAVD\n----\n\n"
       ]
     },
     {
@@ -127,7 +127,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Anim\nMovie of LAVD integration at each integration time step.\n\n"
+        "Anim\n^^^^\nMovie of LAVD integration at each integration time step.\n\n"
       ]
     },
     {
@@ -138,14 +138,14 @@
       },
       "outputs": [],
       "source": [
-        "def update(i_frame):\n    global lavd, i\n    i += 1\n    x, y = particule.__next__()\n    # Interp vorticity on new_position\n    lavd += abs(g.interp(\"vort\", x, y).reshape(original_shape) * 1 / nb_time)\n    txt.set_text(f\"T0 + {i / step_by_day:.2f} days of advection\")\n    pcolormesh.set_array(lavd / i * nb_time)\n    return pcolormesh, txt\n\n\nkw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)\nfig, ax, txt = start_ax(dpi=60)\nx_g_, y_g_ = arange(0 - step / 2, 36 + step / 2, step), arange(\n    28 - step / 2, 46 + step / 2, step\n)\n# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular\npcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)\nupdate_axes(ax, pcolormesh)\n_ = VideoAnimation(ax.figure, update, **kw_video)"
+        "def update(i_frame):\n    global lavd, i\n    i += 1\n    x, y = particule.__next__()\n    # Interp vorticity on new_position\n    lavd += abs(g.interp(\"vort\", x, y).reshape(original_shape) * 1 / nb_time)\n    txt.set_text(f\"T0 + {i / step_by_day:.2f} days of advection\")\n    pcolormesh.set_array(lavd / i * nb_time)\n    return pcolormesh, txt\n\n\nkw_video = dict(frames=arange(nb_time), interval=1000.0 / step_by_day / 2, blit=True)\nfig, ax, txt = start_ax(dpi=60)\nx_g_, y_g_ = (\n    arange(0 - step / 2, 36 + step / 2, step),\n    arange(28 - step / 2, 46 + step / 2, step),\n)\n# pcolorfast will be faster than pcolormesh, we could use pcolorfast due to x and y are regular\npcolormesh = ax.pcolorfast(x_g_, y_g_, lavd, **kw_vorticity)\nupdate_axes(ax, pcolormesh)\n_ = VideoAnimation(ax.figure, update, **kw_video)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Final LAVD\n\n"
+        "Final LAVD\n^^^^^^^^^^\n\n"
       ]
     },
     {
@@ -163,7 +163,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        lavd=lavd.T,\n        lon=x_g,\n        lat=y_g,\n    ),\n    centered=True,\n)"
+        "lavd = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),\n    centered=True,\n)"
       ]
     },
     {
@@ -201,7 +201,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
index 22cf3158..d4cdb187 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_cube.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Time advection\n\nExample which use CMEMS surface current with a Runge-Kutta 4 algorithm to advect particles.\n"
+        "\nTime advection\n==============\n\nExample which use CMEMS surface current with a Runge-Kutta 4 algorithm to advect particles.\n"
       ]
     },
     {
@@ -37,14 +37,14 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Data\nLoad Input time grid ADT\n\n"
+        "Data\n----\nLoad Input time grid ADT\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\nParticles setup\n\n"
+        "Anim\n----\nParticles setup\n\n"
       ]
     },
     {
@@ -109,7 +109,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Particules stat\nTime_step settings\n^^^^^^^^^^^^^^^^^^\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
+        "Particules stat\n---------------\nTime_step settings\n^^^^^^^^^^^^^^^^^^\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
       ]
     },
     {
@@ -127,7 +127,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "### Time duration\nWe keep same time_step but change time duration\n\n"
+        "Time duration\n^^^^^^^^^^^^^\nWe keep same time_step but change time duration\n\n"
       ]
     },
     {
@@ -158,7 +158,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
index bcd4ba74..1fc4d082 100644
--- a/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
+++ b/notebooks/python_module/08_tracking_manipulation/pet_track_anim_matplotlib_animation.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -98,4 +98,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
index a53f2d3a..f9fb474f 100644
--- a/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
+++ b/notebooks/python_module/10_tracking_diagnostics/pet_normalised_lifetime.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Normalised Eddy Lifetimes\n\nExample from Evan Mason\n"
+        "\nNormalised Eddy Lifetimes\n=========================\n\nExample from Evan Mason\n"
       ]
     },
     {
@@ -44,7 +44,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Load atlas\n\n"
+        "Load atlas\n----------\n\n"
       ]
     },
     {
@@ -62,7 +62,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Compute normalised lifetime\n\n"
+        "Compute normalised lifetime\n---------------------------\n\n"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Figure\n\n"
+        "Figure\n------\n\n"
       ]
     },
     {
@@ -91,7 +91,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, axs = plt.subplots(nrows=2, figsize=(8, 6))\n\naxs[0].set_title(\"Normalised Mean Radius\")\naxs[0].plot(*AC_radius), axs[0].plot(*CC_radius)\naxs[0].set_ylabel(\"Radius (km)\"), axs[0].grid()\naxs[0].set_xlim(0, 1), axs[0].set_ylim(0, None)\n\naxs[1].set_title(\"Normalised Mean Amplitude\")\naxs[1].plot(*AC_amplitude, label=\"AC\"), axs[1].plot(*CC_amplitude, label=\"CC\")\naxs[1].set_ylabel(\"Amplitude (cm)\"), axs[1].grid(), axs[1].legend()\n_ = axs[1].set_xlim(0, 1), axs[1].set_ylim(0, None)"
+        "fig, (ax0, ax1) = plt.subplots(nrows=2, figsize=(8, 6))\n\nax0.set_title(\"Normalised Mean Radius\")\nax0.plot(*AC_radius), ax0.plot(*CC_radius)\nax0.set_ylabel(\"Radius (km)\"), ax0.grid()\nax0.set_xlim(0, 1), ax0.set_ylim(0, None)\n\nax1.set_title(\"Normalised Mean Amplitude\")\nax1.plot(*AC_amplitude, label=\"AC\"), ax1.plot(*CC_amplitude, label=\"CC\")\nax1.set_ylabel(\"Amplitude (cm)\"), ax1.grid(), ax1.legend()\n_ = ax1.set_xlim(0, 1), ax1.set_ylim(0, None)"
       ]
     }
   ],
@@ -111,7 +111,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/12_external_data/pet_drifter_loopers.ipynb b/notebooks/python_module/12_external_data/pet_drifter_loopers.ipynb
new file mode 100644
index 00000000..7ba30914
--- /dev/null
+++ b/notebooks/python_module/12_external_data/pet_drifter_loopers.ipynb
@@ -0,0 +1,191 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nColocate looper with eddy from altimetry\n========================================\n\nAll loopers data used in this example are a subset from the dataset described in this article\n[Lumpkin, R. : Global characteristics of coherent vortices from surface drifter trajectories](https://doi.org/10.1002/2015JC011435)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import re\n\nimport numpy as np\nimport py_eddy_tracker_sample\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.observations.tracking import TrackEddiesObservations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\ndef start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], aspect=\"equal\")\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load eddies dataset\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "cyclonic_eddies = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\"eddies_med_adt_allsat_dt2018/Cyclonic.zarr\")\n)\nanticyclonic_eddies = TrackEddiesObservations.load_file(\n    py_eddy_tracker_sample.get_demo_path(\n        \"eddies_med_adt_allsat_dt2018/Anticyclonic.zarr\"\n    )\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load loopers dataset\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "loopers_med = TrackEddiesObservations.load_file(\n    data.get_demo_path(\"loopers_lumpkin_med.nc\")\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Global view\n===========\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = start_axes(\"All drifters available in Med from Lumpkin dataset\")\nloopers_med.plot(ax, lw=0.5, color=\"r\", ref=-10)\nupdate_axes(ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "One segment of drifter\n======================\n\nGet a drifter segment (the indexes used have no correspondance with the original dataset).\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "looper = loopers_med.extract_ids((3588,))\nfig = plt.figure(figsize=(16, 6))\nax = fig.add_subplot(111, aspect=\"equal\")\nlooper.plot(ax, lw=0.5, label=\"Original position of drifter\")\nlooper_filtered = looper.copy()\nlooper_filtered.position_filter(1, 13)\ns = looper_filtered.scatter(\n    ax,\n    \"time\",\n    cmap=plt.get_cmap(\"Spectral_r\", 20),\n    label=\"Filtered position of drifter\",\n)\nplt.colorbar(s).set_label(\"time (days from 1/1/1950)\")\nax.legend()\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Try to find a detected eddies with adt at same place. We used filtered track to simulate an eddy center\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "match = looper_filtered.close_tracks(\n    anticyclonic_eddies, method=\"close_center\", delta=0.1, nb_obs_min=50\n)\nfig = plt.figure(figsize=(16, 6))\nax = fig.add_subplot(111, aspect=\"equal\")\nlooper.plot(ax, lw=0.5, label=\"Original position of drifter\")\nlooper_filtered.plot(ax, lw=1.5, label=\"Filtered position of drifter\")\nmatch.plot(ax, lw=1.5, label=\"Matched eddy\")\nax.legend()\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Display radius of this 2 datasets.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig = plt.figure(figsize=(20, 8))\nax = fig.add_subplot(111)\nax.plot(looper.time, looper.radius_s / 1e3, label=\"loopers\")\nlooper_radius = looper.copy()\nlooper_radius.median_filter(1, \"time\", \"radius_s\", inplace=True)\nlooper_radius.loess_filter(13, \"time\", \"radius_s\", inplace=True)\nax.plot(\n    looper_radius.time,\n    looper_radius.radius_s / 1e3,\n    label=\"loopers (filtered half window 13 days)\",\n)\nax.plot(match.time, match.radius_s / 1e3, label=\"altimetry\")\nmatch_radius = match.copy()\nmatch_radius.median_filter(1, \"time\", \"radius_s\", inplace=True)\nmatch_radius.loess_filter(13, \"time\", \"radius_s\", inplace=True)\nax.plot(\n    match_radius.time,\n    match_radius.radius_s / 1e3,\n    label=\"altimetry (filtered half window 13 days)\",\n)\nax.set_ylabel(\"radius(km)\"), ax.set_ylim(0, 100)\nax.legend()\nax.set_title(\"Radius from loopers and altimeter\")\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Animation of a drifter and its colocated eddy\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def update(frame):\n    # We display last 5 days of loopers trajectory\n    m = (looper.time < frame) * (looper.time > (frame - 5))\n    anim.func_animation(frame)\n    line.set_data(looper.lon[m], looper.lat[m])\n\n\nanim = Anim(match, intern=True, figsize=(8, 8), cmap=\"magma_r\", nb_step=10, dpi=75)\n# mappable to show drifter in red\nline = anim.ax.plot([], [], \"r\", lw=4, zorder=100)[0]\nanim.fig.suptitle(\"\")\n_ = VideoAnimation(anim.fig, update, frames=np.arange(*anim.period, 1), interval=125)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/notebooks/python_module/16_network/pet_follow_particle.ipynb b/notebooks/python_module/16_network/pet_follow_particle.ipynb
index 15820ad3..a2a97944 100644
--- a/notebooks/python_module/16_network/pet_follow_particle.ipynb
+++ b/notebooks/python_module/16_network/pet_follow_particle.ipynb
@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, ones, unique, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.groups import particle_candidate\nfrom py_eddy_tracker.observations.network import NetworkObservations\nfrom py_eddy_tracker.poly import group_obs\n\nstart_logger().setLevel(\"ERROR\")"
+        "import re\n\nfrom matplotlib import colors\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom numpy import arange, meshgrid, ones, unique, zeros\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.appli.gui import Anim\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\nfrom py_eddy_tracker.observations.groups import particle_candidate\nfrom py_eddy_tracker.observations.network import NetworkObservations\n\nstart_logger().setLevel(\"ERROR\")"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which are not used but consumes same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -109,7 +109,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Particle advection\n^^^^^^^^^^^^^^^^^^\n\n"
+        "Particle advection\n^^^^^^^^^^^^^^^^^^\nAdvection from speed contour to speed contour (default)\n\n"
       ]
     },
     {
@@ -120,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "step = 1 / 60.0\n\nx, y = meshgrid(arange(24, 36, step), arange(31, 36, step))\nx0, y0 = x.reshape(-1), y.reshape(-1)\n# Pre-order to speed up\n_, i = group_obs(x0, y0, 1, 360)\nx0, y0 = x0[i], y0[i]\n\nt_start, t_end = n.period\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start, t_end - dt):\n    particle_candidate(x0, y0, c, n, t, i_target_f, pct_target_f, n_days=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start + dt, t_end):\n    particle_candidate(x0, y0, c, n, t, i_target_b, pct_target_b, n_days=-dt)"
+        "step = 1 / 60.0\n\nt_start, t_end = int(n.period[0]), int(n.period[1])\ndt = 14\n\nshape = (n.obs.size, 2)\n# Forward run\ni_target_f, pct_target_f = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start, t_end - dt):\n    particle_candidate(c, n, step, t, i_target_f, pct_target_f, n_days=dt)\n\n# Backward run\ni_target_b, pct_target_b = -ones(shape, dtype=\"i4\"), zeros(shape, dtype=\"i1\")\nfor t in arange(t_start + dt, t_end):\n    particle_candidate(c, n, step, t, i_target_b, pct_target_b, n_days=-dt)"
       ]
     },
     {
diff --git a/notebooks/python_module/16_network/pet_group_anim.ipynb b/notebooks/python_module/16_network/pet_group_anim.ipynb
index 7129259c..090170ff 100644
--- a/notebooks/python_module/16_network/pet_group_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_group_anim.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Network group process\n"
+        "\nNetwork group process\n=====================\n"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)"
       ]
     },
     {
@@ -156,7 +156,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\n\n"
+        "Anim\n----\n\n"
       ]
     },
     {
@@ -174,7 +174,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Final Result\n\n"
+        "Final Result\n------------\n\n"
       ]
     },
     {
@@ -205,7 +205,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
index 788e94ca..9d659597 100644
--- a/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
+++ b/notebooks/python_module/16_network/pet_ioannou_2017_case.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Ioannou case\nFigure 10 from https://doi.org/10.1002/2017JC013158\n\nWe want to find the Ierapetra Eddy described above in a network demonstration run.\n"
+        "\nIoannou case\n============\nFigure 10 from https://doi.org/10.1002/2017JC013158\n\nWe want to find the Ierapetra Eddy described above in a network demonstration run.\n"
       ]
     },
     {
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\n@FuncFormatter\ndef formatter(x, pos):\n    return (timedelta(x) + datetime(1950, 1, 1)).strftime(\"%d/%m/%Y\")\n\n\ndef start_axes(title=\"\"):\n    fig = plt.figure(figsize=(13, 6))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94], projection=GUI_AXES)\n    ax.set_xlim(19, 29), ax.set_ylim(31, 35.5)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title, weight=\"bold\")\n    return ax\n\n\ndef timeline_axes(title=\"\"):\n    fig = plt.figure(figsize=(15, 5))\n    ax = fig.add_axes([0.03, 0.06, 0.90, 0.88])\n    ax.set_title(title, weight=\"bold\")\n    ax.xaxis.set_major_formatter(formatter), ax.grid()\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid(True)\n    if mappable:\n        return plt.colorbar(mappable, cax=ax.figure.add_axes([0.94, 0.05, 0.01, 0.9]))"
       ]
     },
     {
@@ -80,7 +80,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Full Timeline\nThe network span for many years... How to cut the interesting part?\n\n"
+        "Full Timeline\n-------------\nThe network span for many years... How to cut the interesting part?\n\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Sub network and new numbering\nHere we chose to keep only the order 3 segments relatives to our chosen eddy\n\n"
+        "Sub network and new numbering\n-----------------------------\nHere we chose to keep only the order 3 segments relatives to our chosen eddy\n\n"
       ]
     },
     {
@@ -116,7 +116,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Anim\nQuick movie to see better!\n\n"
+        "Anim\n----\nQuick movie to see better!\n\n"
       ]
     },
     {
@@ -134,7 +134,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Classic display\n\n"
+        "Classic display\n---------------\n\n"
       ]
     },
     {
@@ -163,7 +163,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Latitude Timeline\n\n"
+        "Latitude Timeline\n-----------------\n\n"
       ]
     },
     {
@@ -181,7 +181,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Local radius timeline\nEffective (bold) and Speed (thin) Radius together\n\n"
+        "Local radius timeline\n---------------------\nEffective (bold) and Speed (thin) Radius together\n\n"
       ]
     },
     {
@@ -199,7 +199,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Parameters timeline\nEffective Radius\n\n"
+        "Parameters timeline\n-------------------\nEffective Radius\n\n"
       ]
     },
     {
@@ -235,7 +235,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Rotation angle\nFor each obs, fit an ellipse to the contour, with theta the angle from the x-axis,\na the semi ax in x direction and b the semi ax in y dimension\n\n"
+        "Rotation angle\n--------------\nFor each obs, fit an ellipse to the contour, with theta the angle from the x-axis,\na the semi ax in x direction and b the semi ax in y dimension\n\n"
       ]
     },
     {
@@ -338,7 +338,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.7.7"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
index 34047da4..0a546832 100644
--- a/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
+++ b/notebooks/python_module/16_network/pet_segmentation_anim.ipynb
@@ -37,7 +37,7 @@
       },
       "outputs": [],
       "source": [
-        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is use to create thumbnail which are not use but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\ndef get_obs(dataset):\n    \"Function to isolate a specific obs\"\n    return where(\n        (dataset.lat > 33)\n        * (dataset.lat < 34)\n        * (dataset.lon > 22)\n        * (dataset.lon < 23)\n        * (dataset.time > 20630)\n        * (dataset.time < 20650)\n    )[0][0]"
+        "class VideoAnimation(FuncAnimation):\n    def _repr_html_(self, *args, **kwargs):\n        \"\"\"To get video in html and have a player\"\"\"\n        content = self.to_html5_video()\n        return re.sub(\n            r'width=\"[0-9]*\"\\sheight=\"[0-9]*\"', 'width=\"100%\" height=\"100%\"', content\n        )\n\n    def save(self, *args, **kwargs):\n        if args[0].endswith(\"gif\"):\n            # In this case gif is used to create thumbnail which is not used but consume same time than video\n            # So we create an empty file, to save time\n            with open(args[0], \"w\") as _:\n                pass\n            return\n        return super().save(*args, **kwargs)\n\n\ndef get_obs(dataset):\n    \"Function to isolate a specific obs\"\n    return where(\n        (dataset.lat > 33)\n        * (dataset.lat < 34)\n        * (dataset.lon > 22)\n        * (dataset.lon < 23)\n        * (dataset.time > 20630)\n        * (dataset.time < 20650)\n    )[0][0]"
       ]
     },
     {
diff --git a/src/py_eddy_tracker/data/loopers_lumpkin_med.nc b/src/py_eddy_tracker/data/loopers_lumpkin_med.nc
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zlhU1omHq$3KBxL)J{oS$0O1=<2@u!K+)P~sDeb^64!?-tlwdP6U=6TGj<D&NI|ITr
z9uCenhHfrkv)|KT{KJu@tE;1n02`Zym8+$j2`iw8!v^4^VP$8<=IF@+`0`}=1uEDX
z9uD_Ec>D_#*y?}+Bd`BSkay=|<zZ!K;^1Yq;4|muF*W93H3I_W2@fdTz-D%bAaCgI
zU}|jQW^3&1`ODc~{($d<e}zpM>?$ECO(|h(We20)1MGTAX$NPpsj-VICB1|+1Lfby
zQ~n!yN{zo*_>{^343wI%9R#Dz!^Q{D2OF9?gMkx(%kTN)|1lmXJ0}MV2L}r$za|H_
z00)l%CnxY7L-flQM&3946)s~7u%Vfo^DpZEZyzv;n!mT2>Qi=peo1(Mb`Bfyt`)F;
z=ifpWFy#ImnS-DIDU9pS$*1`@*B==9H~M#d0HOwfEv)=UAHeJZy#Ov2F7|)>_}%lr
H)A4@+r%wR=

literal 0
HcmV?d00001

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 90bf6b70..8f592056 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1327,7 +1327,7 @@ def extract_light_with_mask(self, mask):
         )
         new.sign_type = self.sign_type
         if nb_obs == 0:
-            logger.warning("Empty dataset will be created")
+            logger.info("Empty dataset will be created")
         else:
             logger.info(
                 f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
@@ -1353,7 +1353,7 @@ def extract_with_mask(self, mask):
         new = self.__class__.new_like(self, nb_obs)
         new.sign_type = self.sign_type
         if nb_obs == 0:
-            logger.warning("Empty dataset will be created")
+            logger.info("Empty dataset will be created")
         else:
             logger.debug(
                 f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index dec9a6b0..56e0f67d 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1987,7 +1987,7 @@ def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
 
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
-        :param float,None ref: western longitude reference used
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param bool extern_only: if True, draw only the effective contour
         :param bool intern_only: if True, draw only the speed contour
         :param dict kwargs: look at :py:meth:`matplotlib.axes.Axes.plot`
@@ -2082,7 +2082,6 @@ def inside(self, x, y, intern=False):
         :rtype: array[bool]
         """
         xname, yname = self.intern(intern)
-        # FIXME: wrapping
         return insidepoly(x, y, self[xname], self[yname])
 
     def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 3aa43387..2914df6b 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -445,6 +445,7 @@ def loess_filter(self, half_window, xfield, yfield, inplace=True):
         if inplace:
             self.obs[yfield] = result
             return self
+        return result
 
     def median_filter(self, half_window, xfield, yfield, inplace=True):
         result = track_median_filter(
@@ -501,7 +502,7 @@ def extract_with_mask(
         new = self.__class__.new_like(self, nb_obs)
         new.sign_type = self.sign_type
         if nb_obs == 0:
-            logger.warning("Empty dataset will be created")
+            logger.info("Empty dataset will be created")
         else:
             for field in self.obs.dtype.descr:
                 logger.debug("Copy of field %s ...", field)
@@ -567,8 +568,11 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
             It could be a costly operation for huge dataset
         """
         p0, p1 = self.period
+        p0_other, p1_other = other.period
+        if p1_other < p0 or p1 < p0_other:
+            return other.__class__.new_like(other, 0)
         indexs = list()
-        for i_self, i_other, t0, t1 in self.align_on(other, bins=range(p0, p1 + 2)):
+        for i_self, i_other, t0, t1 in self.align_on(other, bins=arange(p0, p1 + 2)):
             i, j, s = self.match(other, i_self=i_self, i_other=i_other, **kwargs)
             indexs.append(other.re_reference_index(j, i_other))
         indexs = concatenate(indexs)
@@ -578,10 +582,7 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(
-            t0=t0,
-            t1=t1,
-            nb_obs=len(self),
-            nb_tracks=(self.nb_obs_by_track != 0).sum(),
+            t0=t0, t1=t1, nb_obs=len(self), nb_tracks=(self.nb_obs_by_track != 0).sum(),
         )
 
     def plot(self, ax, ref=None, **kwargs):
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 56fb55e7..abe8becb 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -865,7 +865,7 @@ def poly_indexs(x_p, y_p, x_c, y_c):
     nb_p = x_p.shape[0]
     nb_c = x_c.shape[0]
     indexs = -ones(nb_p, dtype=numba_types.int32)
-    # Adress table to get particle bloc
+    # Adress table to get test bloc
     start_index, end_index, i_first = build_index(i[i_order])
     nb_bloc = end_index.size
     for i_contour in range(nb_c):
@@ -918,20 +918,4 @@ def insidepoly(x_p, y_p, x_c, y_c):
     :param array x_c: longitude of contours
     :param array y_c: latitude of contours
     """
-    # TODO must be optimize like poly_index
-    nb_p = x_p.shape[0]
-    nb_c = x_c.shape[0]
-    flag = zeros(nb_p, dtype=numba_types.bool_)
-    for i in range(nb_c):
-        x_, y_ = reduce_size(x_c[i], y_c[i])
-        x_c_min, y_c_min = x_.min(), y_.min()
-        x_c_max, y_c_max = x_.max(), y_.max()
-        v = create_vertice(x_, y_)
-        for j in range(nb_p):
-            if flag[j]:
-                continue
-            x, y = x_p[j], y_p[j]
-            if x > x_c_min and x < x_c_max and y > y_c_min and y < y_c_max:
-                if winding_number_poly(x, y, v) != 0:
-                    flag[j] = True
-    return flag
+    return poly_indexs(x_p, y_p, x_c, y_c) != -1

From 5f01ee9198568914d815ebef851fdf8e04cfee09 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 13 Dec 2021 16:17:58 +0100
Subject: [PATCH 382/441] update python version for doc

---
 doc/environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index db50b528..7dcb504d 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -2,7 +2,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python=3.7
+  - python=3.8
   - ffmpeg
   - pip:
     - sphinx-gallery

From 4ffad53976d4ab4d54d256994da23dff1bb74b32 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 13 Dec 2021 16:20:15 +0100
Subject: [PATCH 383/441] env for binder minimal 3.8

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index cf1de6f6..4ea8f840 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python=3.7
+  - python=3.8
   - ffmpeg
   - pip:
     - -r requirements.txt

From af8e44363d9e166b8ef4e8dcd2c458654cb289e5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Thu, 16 Dec 2021 09:42:05 +0100
Subject: [PATCH 384/441] Fixs (#121)

- correction coherence forward & backward, when time needed is shorted than time available
- bug when extracting zarr network which have same number of observation and number of contour
- expose underlying parameters to users (min_overlapp, minimal_area)
- correction of bug in zarr nb_obs & track_array_variables, if no vars with 2 dimensions was selected
- bug when loading EddiesObservation, rotation_type was not loaded
- bug in tracking, previous_virtual_obs was not loaded from VirtualEddiesObservations
- warning when loading data with different py-eddy-tracker versions
- changes of extract_light_with_mask
- possibility to select extra variables to extract
---
 CHANGELOG.rst                                 |  7 ++
 .../pet_eddy_detection_ACC.py                 | 13 +--
 .../16_network/pet_replay_segmentation.py     |  8 +-
 src/py_eddy_tracker/__init__.py               | 13 +--
 src/py_eddy_tracker/appli/eddies.py           | 18 +---
 src/py_eddy_tracker/appli/network.py          | 41 +++++++-
 src/py_eddy_tracker/dataset/grid.py           |  8 +-
 src/py_eddy_tracker/eddy_feature.py           |  4 +-
 src/py_eddy_tracker/observations/network.py   | 53 +++++++---
 .../observations/observation.py               | 96 ++++++++++++-------
 src/py_eddy_tracker/observations/tracking.py  | 20 ++--
 src/py_eddy_tracker/tracking.py               |  3 +
 12 files changed, 175 insertions(+), 109 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index c6ab4cac..110c6081 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -15,6 +15,10 @@ Changed
   New identifications are produced with this type, old files could still be loaded.
   If you use old identifications for tracking use the `--unraw` option to unpack old times and store data with the new format.
 - Now amplitude is stored with .1 mm of precision (instead of 1 mm), same advice as for time.
+- expose more parameters to users for bash tools build_network & divide_network
+- add warning when loading a file created from a previous version of py-eddy-tracker.
+
+
 
 Fixed
 ^^^^^
@@ -22,6 +26,9 @@ Fixed
 - Fix bug in convolution(filter), lowest rows was replace by zeros in convolution computation.
   Important impact for tiny kernel
 - Fix method of sampling before contour fitting
+- Fix bug when loading dataset in zarr format, not all variables were correctly loaded
+- Fix bug when zarr dataset has same size for number of observations and contour size
+- Fix bug when tracking, previous_virtual_obs was not always loaded
 
 Added
 ^^^^^
diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index c799a45e..e6c5e381 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -65,8 +65,7 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     y_name="latitude",
     # Manual area subset
     indexs=dict(
-        latitude=slice(100 - margin, 220 + margin),
-        longitude=slice(0, 230 + margin),
+        latitude=slice(100 - margin, 220 + margin), longitude=slice(0, 230 + margin),
     ),
 )
 g_raw = RegularGridDataset(**kw_data)
@@ -188,16 +187,10 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     ax.set_ylabel("With filter")
 
     ax.plot(
-        a_[field][i_a] * factor,
-        a[field][j_a] * factor,
-        "r.",
-        label="Anticyclonic",
+        a_[field][i_a] * factor, a[field][j_a] * factor, "r.", label="Anticyclonic",
     )
     ax.plot(
-        c_[field][i_c] * factor,
-        c[field][j_c] * factor,
-        "b.",
-        label="Cyclonic",
+        c_[field][i_c] * factor, c[field][j_c] * factor, "b.", label="Cyclonic",
     )
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index 757854d5..d6b4568b 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -149,13 +149,7 @@ def get_obs(dataset):
 n_.median_filter(15, "time", "latitude")
 kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20
 m = n_.scatter_timeline(
-    ax,
-    "shape_error_e",
-    vmin=14,
-    vmax=70,
-    **kw,
-    yfield="lon",
-    method="all",
+    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lon", method="all",
 )
 ax.set_ylabel("Longitude")
 cb = update_axes(ax, m["scatter"])
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index f3ecec84..275bb795 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -422,20 +422,14 @@ def identify_time(str_date):
         nc_name="previous_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Previous cost for previous observation",
-            comment="",
-        ),
+        nc_attr=dict(long_name="Previous cost for previous observation", comment="",),
     ),
     next_cost=dict(
         attr_name=None,
         nc_name="next_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(
-            long_name="Next cost for next observation",
-            comment="",
-        ),
+        nc_attr=dict(long_name="Next cost for next observation", comment="",),
     ),
     n=dict(
         attr_name=None,
@@ -646,8 +640,7 @@ def identify_time(str_date):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll",
-            units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index df4e7d43..4809fddf 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -243,8 +243,7 @@ def browse_dataset_in(
         filenames = bytes_(glob(full_path))
 
     dataset_list = empty(
-        len(filenames),
-        dtype=[("filename", "S500"), ("date", "datetime64[s]")],
+        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[s]")],
     )
     dataset_list["filename"] = filenames
 
@@ -372,8 +371,7 @@ def track(
 
     logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
     logger.info(
-        "The mean length is %d observations for long track",
-        c.nb_obs_by_tracks.mean(),
+        "The mean length is %d observations for long track", c.nb_obs_by_tracks.mean(),
     )
 
     long_track.write_file(**kw_write)
@@ -383,14 +381,7 @@ def track(
 
 
 def get_group(
-    dataset1,
-    dataset2,
-    index1,
-    index2,
-    score,
-    invalid=2,
-    low=10,
-    high=60,
+    dataset1, dataset2, index1, index2, score, invalid=2, low=10, high=60,
 ):
     group1, group2 = dict(), dict()
     m_valid = (score * 100) >= invalid
@@ -499,8 +490,7 @@ def get_values(v, dataset):
             ]
 
     labels = dict(
-        high=f"{high:0.0f} <= high",
-        low=f"{invalid:0.0f} <= low < {low:0.0f}",
+        high=f"{high:0.0f} <= high", low=f"{invalid:0.0f} <= low < {low:0.0f}",
     )
 
     keys = [labels.get(key, key) for key in list(gr_ref.values())[0].keys()]
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 5c4cdcaf..e9baa7be 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -21,6 +21,20 @@ def build_network():
     parser.add_argument(
         "--window", "-w", type=int, help="Half time window to search eddy", default=1
     )
+
+    parser.add_argument(
+        "--min-overlap",
+        "-p",
+        type=float,
+        help="minimum overlap area to associate observations",
+        default=0.2,
+    )
+    parser.add_argument(
+        "--minimal-area",
+        action="store_true",
+        help="If True, use intersection/little polygon, else intersection/union",
+    )
+
     parser.contour_intern_arg()
 
     parser.memory_arg()
@@ -32,7 +46,9 @@ def build_network():
         intern=args.intern,
         memory=args.memory,
     )
-    group = n.group_observations(minimal_area=True)
+    group = n.group_observations(
+        min_overlap=args.min_overlap, minimal_area=args.minimal_area
+    )
     n.build_dataset(group).write_file(filename=args.out)
 
 
@@ -44,6 +60,18 @@ def divide_network():
     parser.add_argument(
         "--window", "-w", type=int, help="Half time window to search eddy", default=1
     )
+    parser.add_argument(
+        "--min-overlap",
+        "-p",
+        type=float,
+        help="minimum overlap area to associate observations",
+        default=0.2,
+    )
+    parser.add_argument(
+        "--minimal-area",
+        action="store_true",
+        help="If True, use intersection/little polygon, else intersection/union",
+    )
     args = parser.parse_args()
     contour_name = TrackEddiesObservations.intern(args.intern, public_label=True)
     e = TrackEddiesObservations.load_file(
@@ -52,7 +80,12 @@ def divide_network():
     )
     n = NetworkObservations.from_split_network(
         TrackEddiesObservations.load_file(args.input, raw_data=True),
-        e.split_network(intern=args.intern, window=args.window),
+        e.split_network(
+            intern=args.intern,
+            window=args.window,
+            min_overlap=args.min_overlap,
+            minimal_area=args.minimal_area,
+        ),
     )
     n.write_file(filename=args.out)
 
@@ -76,9 +109,7 @@ def subset_network():
         help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
     )
     parser.add_argument(
-        "--remove_trash",
-        action="store_true",
-        help="Remove trash (network id == 0)",
+        "--remove_trash", action="store_true", help="Remove trash (network id == 0)",
     )
     parser.add_argument(
         "-p",
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 5b884b68..091d2016 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -858,13 +858,11 @@ def eddy_identification(
                     xy_i = uniform_resample(
                         inner_contour.lon,
                         inner_contour.lat,
-                        num_fac=presampling_multiplier
-                        )
-                    xy_e = uniform_resample(
-                        contour.lon,
-                        contour.lat,
                         num_fac=presampling_multiplier,
                     )
+                    xy_e = uniform_resample(
+                        contour.lon, contour.lat, num_fac=presampling_multiplier,
+                    )
                     xy_s = uniform_resample(
                         speed_contour.lon,
                         speed_contour.lat,
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index d2616957..3640b306 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -433,8 +433,8 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = (
-                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
+            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
+                i, x, y
             )
             nb_level += 1
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 8f592056..1c078bf8 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1301,7 +1301,7 @@ def extract_with_period(self, period):
 
         return self.extract_with_mask(self.get_mask_with_period(period))
 
-    def extract_light_with_mask(self, mask):
+    def extract_light_with_mask(self, mask, track_extra_variables=[]):
         """extract data with mask, but only with variables used for coherence, aka self.array_variables
 
         :param mask: mask used to extract
@@ -1319,7 +1319,7 @@ def extract_light_with_mask(self, mask):
         variables = ["time"] + self.array_variables
         new = self.__class__(
             size=nb_obs,
-            track_extra_variables=[],
+            track_extra_variables=track_extra_variables,
             track_array_variables=self.track_array_variables,
             array_variables=self.array_variables,
             only_variables=variables,
@@ -1333,9 +1333,22 @@ def extract_light_with_mask(self, mask):
                 f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
             )
 
-        for field in variables:
+        for field in variables + track_extra_variables:
             logger.debug("Copy of field %s ...", field)
             new.obs[field] = self.obs[field][mask]
+
+        if (
+            "previous_obs" in track_extra_variables
+            and "next_obs" in track_extra_variables
+        ):
+            # n & p must be re-index
+            n, p = self.next_obs[mask], self.previous_obs[mask]
+            # we add 2 for -1 index return index -1
+            translate = -ones(len(self) + 1, dtype="i4")
+            translate[:-1][mask] = arange(nb_obs)
+            new.next_obs[:] = translate[n]
+            new.previous_obs[:] = translate[p]
+
         return new
 
     def extract_with_mask(self, mask):
@@ -1495,7 +1508,8 @@ def date2file(julian_day):
 
         t_start, t_end = int(self.period[0]), int(self.period[1])
 
-        dates = arange(t_start, t_start + n_days + 1)
+        # dates = arange(t_start, t_start + n_days + 1)
+        dates = arange(t_start, min(t_start + n_days + 1, t_end + 1))
         first_files = [date_function(x) for x in dates]
 
         c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
@@ -1570,12 +1584,8 @@ def date2file(julian_day):
         ptf_final = zeros((self.obs.size, 2), dtype="i1")
 
         t_start, t_end = int(self.period[0]), int(self.period[1])
-        # if begin is not None and begin > t_start:
-        #     t_start = begin
-        # if end is not None and end < t_end:
-        #     t_end = end
 
-        dates = arange(t_start, t_start + n_days + 1)
+        dates = arange(t_start, min(t_start + n_days + 1, t_end + 1))
         first_files = [date_function(x) for x in dates]
 
         c = GridCollection.from_netcdf_list(first_files, dates, **uv_params)
@@ -1699,7 +1709,23 @@ def group_translator(nb, duos):
                 apply_replace(translate, gr_i, gr_j)
         return translate
 
-    def group_observations(self, **kwargs):
+    def group_observations(self, min_overlap=0.2, minimal_area=False):
+        """Store every interaction between identifications
+
+        Parameters
+        ----------
+        minimal_area : bool, optional
+            If True, function will compute intersection/little polygon, else intersection/union, by default False
+
+        min_overlap : float, optional
+            minimum overlap area to associate observations, by default 0.2
+
+        Returns
+        -------
+        TrackEddiesObservations
+            netcdf with interactions
+        """
+
         results, nb_obs = list(), list()
         # To display print only in INFO
         display_iteration = logger.getEffectiveLevel() == logging.INFO
@@ -1713,7 +1739,12 @@ def group_observations(self, **kwargs):
             for j in range(i + 1, min(self.window + i + 1, self.nb_input)):
                 xj, yj = self.buffer.load_contour(self.filenames[j])
                 ii, ij = bbox_intersection(xi, yi, xj, yj)
-                m = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs) > 0.2
+                m = (
+                    vertice_overlap(
+                        xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+                    )
+                    > min_overlap
+                )
                 results.append((i, j, ii[m], ij[m]))
         if display_iteration:
             print()
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 56e0f67d..3543caa7 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -8,6 +8,7 @@
 from tarfile import ExFileObject
 from tokenize import TokenError
 
+import packaging
 import zarr
 from matplotlib.cm import get_cmap
 from matplotlib.collections import PolyCollection
@@ -74,6 +75,29 @@
 
 logger = logging.getLogger("pet")
 
+# keep only major and minor version number
+_software_version_reduced = packaging.version.Version(
+    "{v.major}.{v.minor}".format(v=packaging.version.parse(__version__))
+)
+
+
+def _check_versions(version):
+    """Check if version of py_eddy_tracker used to create the file is compatible with software version
+
+    if not, warn user with both versions
+
+    :param version: string version of software used to create the file. If None, version was not provided
+    :type version: str, None
+    """
+
+    file_version = packaging.version.parse(version) if version is not None else None
+    if file_version is None or file_version < _software_version_reduced:
+        logger.warning(
+            "File was created with py-eddy-tracker version '%s' but software version is '%s'",
+            file_version,
+            _software_version_reduced,
+        )
+
 
 @njit(cache=True, fastmath=True)
 def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5):
@@ -687,10 +711,13 @@ def zarr_dimension(filename):
             h = filename
         else:
             h = zarr.open(filename)
+
         dims = list()
         for varname in h:
-            dims.extend(list(getattr(h, varname).shape))
-        return set(dims)
+            shape = getattr(h, varname).shape
+            if len(shape) > len(dims):
+                dims = shape
+        return dims
 
     @classmethod
     def load_file(cls, filename, **kwargs):
@@ -702,11 +729,7 @@ def load_file(cls, filename, **kwargs):
         .. code-block:: python
 
             kwargs_latlon_300 = dict(
-                include_vars=[
-                    "longitude",
-                    "latitude",
-                ],
-                indexs=dict(obs=slice(0, 300)),
+                include_vars=["longitude", "latitude",], indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(
                 filename, **kwargs_latlon_300
@@ -754,20 +777,19 @@ def load_from_zarr(
         :return type: class
         """
         # FIXME
-        array_dim = -1
         if isinstance(filename, zarr.storage.MutableMapping):
             h_zarr = filename
         else:
             if not isinstance(filename, str):
                 filename = filename.astype(str)
             h_zarr = zarr.open(filename)
+
+        _check_versions(h_zarr.attrs.get("framework_version", None))
         var_list = cls.build_var_list(list(h_zarr.keys()), remove_vars, include_vars)
 
         nb_obs = getattr(h_zarr, var_list[0]).shape[0]
-        dims = list(cls.zarr_dimension(filename))
-        if len(dims) == 2 and nb_obs in dims:
-            # FIXME must be investigated, in zarr no dimensions name (or could be add in attr)
-            array_dim = dims[1] if nb_obs == dims[0] else dims[0]
+        track_array_variables = h_zarr.attrs["track_array_variables"]
+
         if indexs is not None and "obs" in indexs:
             sl = indexs["obs"]
             sl = slice(sl.start, min(sl.stop, nb_obs))
@@ -781,28 +803,33 @@ def load_from_zarr(
         logger.debug("%d observations will be load", nb_obs)
         kwargs = dict()
 
-        if array_dim in dims:
-            kwargs["track_array_variables"] = array_dim
-            kwargs["array_variables"] = list()
-            for variable in var_list:
-                if array_dim in h_zarr[variable].shape:
-                    var_inv = VAR_DESCR_inv[variable]
-                    kwargs["array_variables"].append(var_inv)
-        array_variables = kwargs.get("array_variables", list())
-        kwargs["track_extra_variables"] = []
+        kwargs["track_array_variables"] = h_zarr.attrs.get(
+            "track_array_variables", track_array_variables
+        )
+
+        array_variables = list()
+        for variable in var_list:
+            if len(h_zarr[variable].shape) > 1:
+                var_inv = VAR_DESCR_inv[variable]
+                array_variables.append(var_inv)
+        kwargs["array_variables"] = array_variables
+        track_extra_variables = []
+
         for variable in var_list:
             var_inv = VAR_DESCR_inv[variable]
             if var_inv not in cls.ELEMENTS and var_inv not in array_variables:
-                kwargs["track_extra_variables"].append(var_inv)
+                track_extra_variables.append(var_inv)
+        kwargs["track_extra_variables"] = track_extra_variables
         kwargs["raw_data"] = raw_data
         kwargs["only_variables"] = (
             None if include_vars is None else [VAR_DESCR_inv[i] for i in include_vars]
         )
         kwargs.update(class_kwargs)
         eddies = cls(size=nb_obs, **kwargs)
-        for variable in var_list:
+
+        for i_var, variable in enumerate(var_list):
             var_inv = VAR_DESCR_inv[variable]
-            logger.debug("%s will be loaded", variable)
+            logger.debug("%s will be loaded (%d/%d)", variable, i_var, len(var_list))
             # find unit factor
             input_unit = h_zarr[variable].attrs.get("unit", None)
             if input_unit is None:
@@ -858,6 +885,7 @@ def copy_data_to_zarr(
             i_start = 0
         if i_stop is None:
             i_stop = handler_zarr.shape[0]
+
         for i in range(i_start, i_stop, buffer_size):
             sl_in = slice(i, min(i + buffer_size, i_stop))
             data = handler_zarr[sl_in]
@@ -868,6 +896,7 @@ def copy_data_to_zarr(
                     data -= add_offset
                 if scale_factor is not None:
                     data /= scale_factor
+
             sl_out = slice(i - i_start, i - i_start + buffer_size)
             handler_eddies[sl_out] = data
 
@@ -901,6 +930,8 @@ def load_from_netcdf(
         else:
             args, kwargs = (filename,), dict()
         with Dataset(*args, **kwargs) as h_nc:
+            _check_versions(getattr(h_nc, "framework_version", None))
+
             var_list = cls.build_var_list(
                 list(h_nc.variables.keys()), remove_vars, include_vars
             )
@@ -1032,6 +1063,7 @@ def from_zarr(cls, handler):
                 eddies.obs[variable] = handler.variables[variable][:]
             else:
                 eddies.obs[VAR_DESCR_inv[variable]] = handler.variables[variable][:]
+        eddies.sign_type = handler.rotation_type
         return eddies
 
     @classmethod
@@ -1050,6 +1082,7 @@ def from_netcdf(cls, handler):
                 eddies.obs[variable] = handler.variables[variable][:]
             else:
                 eddies.obs[VAR_DESCR_inv[variable]] = handler.variables[variable][:]
+        eddies.sign_type = handler.rotation_type
         return eddies
 
     def propagate(
@@ -1977,11 +2010,7 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
 
     def format_label(self, label):
         t0, t1 = self.period
-        return label.format(
-            t0=t0,
-            t1=t1,
-            nb_obs=len(self),
-        )
+        return label.format(t0=t0, t1=t1, nb_obs=len(self),)
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
@@ -2352,14 +2381,7 @@ def grid_count_pixel_in(
         x_, y_ = reduce_size(x_, y_)
         v = create_vertice(x_, y_)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
-            v,
-            x_bounds,
-            y_bounds,
-            xstep,
-            ystep,
-            N,
-            is_circular,
-            x_size,
+            v, x_bounds, y_bounds, xstep, ystep, N, is_circular, x_size,
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
         grid_count_(grid, i, j)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 2914df6b..6612c6d5 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -657,12 +657,12 @@ def split_network(self, intern=True, **kwargs):
 
     def set_tracks(self, x, y, ids, window, **kwargs):
         """
-        Will split one group (network) in segments
+        Split one group (network) in segments
 
         :param array x: coordinates of group
         :param array y: coordinates of group
         :param ndarray ids: several fields like time, group, ...
-        :param int windows: number of days where observations could missed
+        :param int window: number of days where observations could missed
         """
         time_index = build_index((ids["time"]).astype("i4"))
         nb = x.shape[0]
@@ -714,8 +714,8 @@ def get_previous_obs(
         time_e,
         time_ref,
         window,
-        min_overlap=0.01,
-        **kwargs,
+        min_overlap=0.2,
+        minimal_area=False,
     ):
         """Backward association of observations to the segments"""
         time_cur = int_(ids["time"][i_current])
@@ -731,7 +731,9 @@ def get_previous_obs(
             if len(ii) == 0:
                 continue
             c = zeros(len(xj))
-            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
+            c[ij] = vertice_overlap(
+                xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+            )
             # We remove low overlap
             c[c < min_overlap] = 0
             # We get index of maximal overlap
@@ -754,8 +756,8 @@ def get_next_obs(
         time_e,
         time_ref,
         window,
-        min_overlap=0.01,
-        **kwargs,
+        min_overlap=0.2,
+        minimal_area=False,
     ):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
@@ -774,7 +776,9 @@ def get_next_obs(
             if len(ii) == 0:
                 continue
             c = zeros(len(xj))
-            c[ij] = vertice_overlap(xi[ii], yi[ii], xj[ij], yj[ij], **kwargs)
+            c[ij] = vertice_overlap(
+                xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+            )
             # We remove low overlap
             c[c < min_overlap] = 0
             # We get index of maximal overlap
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 577496ff..7543a4d3 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -350,6 +350,9 @@ def load_state(self):
                     self.virtual_obs = VirtualEddiesObservations.from_netcdf(
                         general_handler.groups["LastVirtualObs"]
                     )
+                    self.previous_virtual_obs = VirtualEddiesObservations.from_netcdf(
+                        general_handler.groups["LastPreviousVirtualObs"]
+                    )
                     # Load and last previous virtual obs to be merge with current => will be previous2_obs
                     # TODO : Need to rethink this line ??
                     self.current_obs = self.current_obs.merge(

From 7a9baf42d85dbc91c012f81992f85ae6d0f3a154 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Sun, 9 Jan 2022 22:17:18 +0100
Subject: [PATCH 385/441] example to compute statistics on raw identification

---
 README.md                                     |  14 +-
 .../pet_statistics_on_identification.py       | 105 +++++++++
 .../pet_statistics_on_identification.ipynb    | 202 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |   2 +-
 .../observations/observation.py               |   2 +-
 src/py_eddy_tracker/poly.py                   |  10 +-
 6 files changed, 330 insertions(+), 5 deletions(-)
 create mode 100644 examples/02_eddy_identification/pet_statistics_on_identification.py
 create mode 100644 notebooks/python_module/02_eddy_identification/pet_statistics_on_identification.ipynb

diff --git a/README.md b/README.md
index e26e15ac..c9e7690f 100644
--- a/README.md
+++ b/README.md
@@ -17,15 +17,17 @@ Method was described in :
 ### Use case ###
 
 Method is used in :
- 
+
 [Mason, E., A. Pascual, P. Gaube, S.Ruiz, J. Pelegrí, A. Delepoulle, 2017: Subregional characterization of mesoscale eddies across the Brazil-Malvinas Confluence](https://doi.org/10.1002/2016JC012611)
 
 ### How do I get set up? ###
 
 #### Short story ####
+
 ```bash
 pip install pyeddytracker
 ```
+
 #### Long story ####
 
 To avoid problems with installation, use of the virtualenv Python virtual environment is recommended.
@@ -36,12 +38,20 @@ Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, ...
 pip install numpy scipy netCDF4 matplotlib opencv-python pyyaml pint polygon3
 ```
 
-Then run the following to install the eddy tracker:
+Clone :
+
+```bash
+git clone https://github.com/AntSimi/py-eddy-tracker
+```
+
+Then run the following to install the eddy tracker :
 
 ```bash
 python setup.py install
 ```
+
 ### Tools gallery ###
+
 Several examples based on py eddy tracker module are [here](https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html).
 
 [![](https://py-eddy-tracker.readthedocs.io/en/latest/_static/logo.png)](https://py-eddy-tracker.readthedocs.io/en/latest/python_module/index.html)
diff --git a/examples/02_eddy_identification/pet_statistics_on_identification.py b/examples/02_eddy_identification/pet_statistics_on_identification.py
new file mode 100644
index 00000000..0e4d9b34
--- /dev/null
+++ b/examples/02_eddy_identification/pet_statistics_on_identification.py
@@ -0,0 +1,105 @@
+"""
+Stastics on identification files
+================================
+
+Some statistics on raw identification without any tracking
+"""
+import numpy as np
+from matplotlib import pyplot as plt
+from matplotlib.dates import date2num
+
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_remote_demo_sample
+from py_eddy_tracker.observations.observation import EddiesObservations
+
+start_logger().setLevel("ERROR")
+
+
+# %%
+def start_axes(title):
+    fig = plt.figure(figsize=(13, 5))
+    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])
+    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)
+    ax.set_aspect("equal")
+    ax.set_title(title)
+    return ax
+
+
+def update_axes(ax, mappable=None):
+    ax.grid()
+    if mappable:
+        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))
+
+
+# %%
+# We load demo sample and take only first year.
+#
+# Replace by a list of filename to apply on your own dataset.
+file_objects = get_remote_demo_sample(
+    "eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012"
+)[:365]
+
+# %%
+# Merge all identification dataset in one object
+all_a = EddiesObservations.concatenate(
+    [EddiesObservations.load_file(i) for i in file_objects]
+)
+
+# %%
+# We define polygon bound
+x0, x1, y0, y1 = 15, 20, 33, 38
+xs = np.array([[x0, x1, x1, x0, x0]], dtype="f8")
+ys = np.array([[y0, y0, y1, y1, y0]], dtype="f8")
+# Polygon object is create to be usable by match function.
+polygon = dict(contour_lon_e=xs, contour_lat_e=ys, contour_lon_s=xs, contour_lat_s=ys)
+
+# %%
+# Geographic frequency of eddies
+step = 0.125
+ax = start_axes("")
+# Count pixel used for each contour
+g_a = all_a.grid_count(bins=((-10, 37, step), (30, 46, step)), intern=True)
+m = g_a.display(
+    ax, cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / all_a.nb_days, name="count"
+)
+ax.plot(polygon["contour_lon_e"][0], polygon["contour_lat_e"][0], "r")
+update_axes(ax, m)
+
+# %%
+# We use match function to count number of eddies which intersect the polygon defined previously.
+# `p1_area` option allow to get in c_e/c_s output, precentage of area occupy by eddies in the polygon.
+i_e, j_e, c_e = all_a.match(polygon, p1_area=True, intern=False)
+i_s, j_s, c_s = all_a.match(polygon, p1_area=True, intern=True)
+
+# %%
+dt = np.datetime64("1970-01-01") - np.datetime64("1950-01-01")
+kw_hist = dict(
+    bins=date2num(np.arange(21900, 22300).astype("datetime64") - dt), histtype="step"
+)
+# translate julian day in datetime64
+t = all_a.time.astype("datetime64") - dt
+# %%
+# Count how many are in polygon
+ax = plt.figure(figsize=(12, 6)).add_subplot(111)
+ax.set_title("Different way to count eddies presence in a polygon")
+ax.set_ylabel("Count")
+m = all_a.mask_from_polygons(((xs, ys),))
+ax.hist(t[m], label="center in polygon", **kw_hist)
+ax.hist(t[i_s[c_s > 0]], label="intersect speed contour with polygon", **kw_hist)
+ax.hist(t[i_e[c_e > 0]], label="intersect extern contour with polygon", **kw_hist)
+ax.legend()
+ax.set_xlim(np.datetime64("2010"), np.datetime64("2011"))
+ax.grid()
+
+# %%
+# Percent of are of interest occupy by eddies
+ax = plt.figure(figsize=(12, 6)).add_subplot(111)
+ax.set_title("Percent of polygon occupy by an anticyclonic eddy")
+ax.set_ylabel("Percent of polygon")
+ax.hist(t[i_s[c_s > 0]], weights=c_s[c_s > 0] * 100.0, label="speed contour", **kw_hist)
+ax.hist(
+    t[i_e[c_e > 0]], weights=c_e[c_e > 0] * 100.0, label="effective contour", **kw_hist
+)
+ax.legend(), ax.set_ylim(0, 25)
+ax.set_xlim(np.datetime64("2010"), np.datetime64("2011"))
+ax.grid()
diff --git a/notebooks/python_module/02_eddy_identification/pet_statistics_on_identification.ipynb b/notebooks/python_module/02_eddy_identification/pet_statistics_on_identification.ipynb
new file mode 100644
index 00000000..7fa04435
--- /dev/null
+++ b/notebooks/python_module/02_eddy_identification/pet_statistics_on_identification.ipynb
@@ -0,0 +1,202 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Stastics on identification files\n\nSome statistics on raw identification without any tracking\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom matplotlib.dates import date2num\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.observations.observation import EddiesObservations\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def start_axes(title):\n    fig = plt.figure(figsize=(13, 5))\n    ax = fig.add_axes([0.03, 0.03, 0.90, 0.94])\n    ax.set_xlim(-6, 36.5), ax.set_ylim(30, 46)\n    ax.set_aspect(\"equal\")\n    ax.set_title(title)\n    return ax\n\n\ndef update_axes(ax, mappable=None):\n    ax.grid()\n    if mappable:\n        plt.colorbar(mappable, cax=ax.figure.add_axes([0.95, 0.05, 0.01, 0.9]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We load demo sample and take only first year.\n\nReplace by a list of filename to apply on your own dataset.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "file_objects = get_remote_demo_sample(\n    \"eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012\"\n)[:365]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Merge all identification dataset in one object\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "all_a = EddiesObservations.concatenate(\n    [EddiesObservations.load_file(i) for i in file_objects]\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We define polygon bound\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "x0, x1, y0, y1 = 15, 20, 33, 38\nxs = np.array([[x0, x1, x1, x0, x0]], dtype=\"f8\")\nys = np.array([[y0, y0, y1, y1, y0]], dtype=\"f8\")\n# Polygon object is create to be usable by match function.\npolygon = dict(contour_lon_e=xs, contour_lat_e=ys, contour_lon_s=xs, contour_lat_s=ys)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Geographic frequency of eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "step = 0.125\nax = start_axes(\"\")\n# Count pixel used for each contour\ng_a = all_a.grid_count(bins=((-10, 37, step), (30, 46, step)), intern=True)\nm = g_a.display(\n    ax, cmap=\"terrain_r\", vmin=0, vmax=0.75, factor=1 / all_a.nb_days, name=\"count\"\n)\nax.plot(polygon[\"contour_lon_e\"][0], polygon[\"contour_lat_e\"][0], \"r\")\nupdate_axes(ax, m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We use match function to count number of eddies which intersect the polygon defined previously.\n`p1_area` option allow to get in c_e/c_s output, precentage of area occupy by eddies in the polygon.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "i_e, j_e, c_e = all_a.match(polygon, p1_area=True, intern=False)\ni_s, j_s, c_s = all_a.match(polygon, p1_area=True, intern=True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "dt = np.datetime64(\"1970-01-01\") - np.datetime64(\"1950-01-01\")\nkw_hist = dict(\n    bins=date2num(np.arange(21900, 22300).astype(\"datetime64\") - dt), histtype=\"step\"\n)\n# translate julian day in datetime64\nt = all_a.time.astype(\"datetime64\") - dt"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Count how many are in polygon\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = plt.figure(figsize=(12, 6)).add_subplot(111)\nax.set_title(\"Different way to count eddies presence in a polygon\")\nax.set_ylabel(\"Count\")\nm = all_a.mask_from_polygons(((xs, ys),))\nax.hist(t[m], label=\"center in polygon\", **kw_hist)\nax.hist(t[i_s[c_s > 0]], label=\"intersect speed contour with polygon\", **kw_hist)\nax.hist(t[i_e[c_e > 0]], label=\"intersect extern contour with polygon\", **kw_hist)\nax.legend()\nax.set_xlim(np.datetime64(\"2010\"), np.datetime64(\"2011\"))\nax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Percent of are of interest occupy by eddies\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = plt.figure(figsize=(12, 6)).add_subplot(111)\nax.set_title(\"Percent of polygon occupy by an anticyclonic eddy\")\nax.set_ylabel(\"Percent of polygon\")\nax.hist(t[i_s[c_s > 0]], weights=c_s[c_s > 0] * 100.0, label=\"speed contour\", **kw_hist)\nax.hist(t[i_e[c_e > 0]], weights=c_e[c_e > 0] * 100.0, label=\"effective contour\", **kw_hist)\nax.legend(), ax.set_ylim(0, 25)\nax.set_xlim(np.datetime64(\"2010\"), np.datetime64(\"2011\"))\nax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 091d2016..237577a4 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -807,7 +807,7 @@ def eddy_identification(
                         else:
                             centi = reset_centroid[0]
                         centj = reset_centroid[1]
-                        # To move in regular and unregular grid
+                        # FIXME : To move in regular and unregular grid
                         if len(x.shape) == 1:
                             centlon_e = x[centi]
                             centlat_e = y[centj]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3543caa7..3c8e1938 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -8,7 +8,7 @@
 from tarfile import ExFileObject
 from tokenize import TokenError
 
-import packaging
+import packaging.version
 import zarr
 from matplotlib.cm import get_cmap
 from matplotlib.collections import PolyCollection
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index abe8becb..bb9ac79e 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -411,7 +411,7 @@ def merge(x, y):
     return concatenate(x), concatenate(y)
 
 
-def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
+def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False):
     r"""
     Return percent of overlap for each item.
 
@@ -420,6 +420,7 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     :param array x1: x for polygon list 1
     :param array y1: y for polygon list 1
     :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
+    :param bool p1_area: If True, function will compute intersection/p1 polygon, else intersection/union
     :return: Result of cost function
     :rtype: array
 
@@ -430,6 +431,10 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
     If minimal area:
 
         .. math:: Score = \frac{Intersection(P_0,P_1)_{area}}{min(P_{0 area},P_{1 area})}
+
+    If P1 area:
+
+        .. math:: Score = \frac{Intersection(P_0,P_1)_{area}}{P_{1 area}}
     """
     nb = x0.shape[0]
     cost = empty(nb)
@@ -443,6 +448,9 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False):
         # we divide intersection with the little one result from 0 to 1
         if minimal_area:
             cost[i] = intersection / min(p0.area(), p1.area())
+        # we divide intersection with p1
+        elif p1_area:
+            cost[i] = intersection / p1.area()
         # we divide intersection with polygon merging result from 0 to 1
         else:
             cost[i] = intersection / (p0 + p1).area()

From cc540c03c27ac40194d049e547b9ca1cc2307572 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 11 Jan 2022 13:45:49 +0100
Subject: [PATCH 386/441] english correction

---
 .../pet_statistics_on_identification.py       | 22 +++++++++----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/examples/02_eddy_identification/pet_statistics_on_identification.py b/examples/02_eddy_identification/pet_statistics_on_identification.py
index 0e4d9b34..0c72262f 100644
--- a/examples/02_eddy_identification/pet_statistics_on_identification.py
+++ b/examples/02_eddy_identification/pet_statistics_on_identification.py
@@ -40,7 +40,7 @@ def update_axes(ax, mappable=None):
 )[:365]
 
 # %%
-# Merge all identification dataset in one object
+# Merge all identification datasets in one object
 all_a = EddiesObservations.concatenate(
     [EddiesObservations.load_file(i) for i in file_objects]
 )
@@ -50,14 +50,14 @@ def update_axes(ax, mappable=None):
 x0, x1, y0, y1 = 15, 20, 33, 38
 xs = np.array([[x0, x1, x1, x0, x0]], dtype="f8")
 ys = np.array([[y0, y0, y1, y1, y0]], dtype="f8")
-# Polygon object is create to be usable by match function.
+# Polygon object created for the match function use.
 polygon = dict(contour_lon_e=xs, contour_lat_e=ys, contour_lon_s=xs, contour_lat_s=ys)
 
 # %%
 # Geographic frequency of eddies
 step = 0.125
 ax = start_axes("")
-# Count pixel used for each contour
+# Count pixel encompassed in each contour
 g_a = all_a.grid_count(bins=((-10, 37, step), (30, 46, step)), intern=True)
 m = g_a.display(
     ax, cmap="terrain_r", vmin=0, vmax=0.75, factor=1 / all_a.nb_days, name="count"
@@ -66,7 +66,7 @@ def update_axes(ax, mappable=None):
 update_axes(ax, m)
 
 # %%
-# We use match function to count number of eddies which intersect the polygon defined previously.
+# We use the match function to count the number of eddies that intersect the polygon defined previously
 # `p1_area` option allow to get in c_e/c_s output, precentage of area occupy by eddies in the polygon.
 i_e, j_e, c_e = all_a.match(polygon, p1_area=True, intern=False)
 i_s, j_s, c_s = all_a.match(polygon, p1_area=True, intern=True)
@@ -79,22 +79,22 @@ def update_axes(ax, mappable=None):
 # translate julian day in datetime64
 t = all_a.time.astype("datetime64") - dt
 # %%
-# Count how many are in polygon
+# Number of eddies within a polygon
 ax = plt.figure(figsize=(12, 6)).add_subplot(111)
-ax.set_title("Different way to count eddies presence in a polygon")
+ax.set_title("Different ways to count eddies within a polygon")
 ax.set_ylabel("Count")
 m = all_a.mask_from_polygons(((xs, ys),))
-ax.hist(t[m], label="center in polygon", **kw_hist)
-ax.hist(t[i_s[c_s > 0]], label="intersect speed contour with polygon", **kw_hist)
-ax.hist(t[i_e[c_e > 0]], label="intersect extern contour with polygon", **kw_hist)
+ax.hist(t[m], label="Eddy Center in polygon", **kw_hist)
+ax.hist(t[i_s[c_s > 0]], label="Intersection Speed contour and polygon", **kw_hist)
+ax.hist(t[i_e[c_e > 0]], label="Intersection Effective contour and polygon", **kw_hist)
 ax.legend()
 ax.set_xlim(np.datetime64("2010"), np.datetime64("2011"))
 ax.grid()
 
 # %%
-# Percent of are of interest occupy by eddies
+# Percent of the area of interest occupied by eddies.
 ax = plt.figure(figsize=(12, 6)).add_subplot(111)
-ax.set_title("Percent of polygon occupy by an anticyclonic eddy")
+ax.set_title("Percent of polygon occupied by an anticyclonic eddy")
 ax.set_ylabel("Percent of polygon")
 ax.hist(t[i_s[c_s > 0]], weights=c_s[c_s > 0] * 100.0, label="speed contour", **kw_hist)
 ax.hist(

From 574a5e4016c86ebe29badb85082582472e26262a Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 11 Jan 2022 15:57:14 +0100
Subject: [PATCH 387/441] Add example to get path of particle with velocity
 field

---
 examples/07_cube_manipulation/README.rst      |   4 -
 .../pet_particles_drift.py                    |  46 +++++++
 .../pet_particles_drift.ipynb                 | 126 ++++++++++++++++++
 src/py_eddy_tracker/dataset/grid.py           |  22 +++
 4 files changed, 194 insertions(+), 4 deletions(-)
 create mode 100644 examples/07_cube_manipulation/pet_particles_drift.py
 create mode 100644 notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb

diff --git a/examples/07_cube_manipulation/README.rst b/examples/07_cube_manipulation/README.rst
index 147ce3f3..7cecfbd4 100644
--- a/examples/07_cube_manipulation/README.rst
+++ b/examples/07_cube_manipulation/README.rst
@@ -1,6 +1,2 @@
 Time grid computation
 =====================
-
-.. warning::
-
-    Time grid is under development, API could move quickly!
diff --git a/examples/07_cube_manipulation/pet_particles_drift.py b/examples/07_cube_manipulation/pet_particles_drift.py
new file mode 100644
index 00000000..f73216fc
--- /dev/null
+++ b/examples/07_cube_manipulation/pet_particles_drift.py
@@ -0,0 +1,46 @@
+"""
+Build path of particle drifting
+===============================
+
+"""
+
+from matplotlib import pyplot as plt
+from numpy import arange, meshgrid
+
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_demo_path
+from py_eddy_tracker.dataset.grid import GridCollection
+
+start_logger().setLevel("ERROR")
+
+# %%
+# Load data cube
+c = GridCollection.from_netcdf_cube(
+    get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
+    "longitude",
+    "latitude",
+    "time",
+    heigth="adt",
+)
+
+# %%
+# Advection properties
+nb_days, step_by_day = 10, 6
+nb_time = step_by_day * nb_days
+kw_p = dict(nb_step=1, time_step=86400 / step_by_day)
+t0 = 20210
+
+# %%
+# Get paths
+x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))
+x0, y0 = x0.reshape(-1), y0.reshape(-1)
+t, x, y = c.path(x0, y0, "u", "v", t_init=t0, **kw_p, nb_time=nb_time)
+
+# %%
+# Plot paths
+ax = plt.figure(figsize=(9, 6)).add_subplot(111, aspect="equal")
+ax.plot(x0, y0, "k.", ms=20)
+ax.plot(x, y, lw=3)
+ax.set_title("10 days particle paths")
+ax.set_xlim(31, 35), ax.set_ylim(32, 34.5)
+ax.grid()
diff --git a/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb b/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb
new file mode 100644
index 00000000..53365ac7
--- /dev/null
+++ b/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb
@@ -0,0 +1,126 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Build path of particle drifting\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom numpy import arange, meshgrid\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load data cube\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Advection properties\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "nb_days, step_by_day = 10, 6\nnb_time = step_by_day * nb_days\nkw_p = dict(nb_step=1, time_step=86400 / step_by_day)\nt0 = 20210"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get paths\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\nt, x, y = c.path(x0, y0, \"u\", \"v\", t_init=t0, **kw_p, nb_time=nb_time)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot paths\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "ax = plt.figure(figsize=(9, 6)).add_subplot(111, aspect=\"equal\")\nax.plot(x0, y0, \"k.\", ms=20)\nax.plot(x, y, lw=3)\nax.set_title(\"10 days particle paths\")\nax.set_xlim(31, 35), ax.set_ylim(32, 34.5)\nax.grid()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 237577a4..8e9b0ac3 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2517,6 +2517,28 @@ def get_previous_time_step(self, t_init):
             logger.debug(f"i={i}, t={t}, dataset={dataset}")
             yield t, dataset
 
+    def path(self, x0, y0, *args, nb_time=2, **kwargs):
+        """
+        At each call it will update position in place with u & v field
+
+        :param array x0: Longitude of obs to move
+        :param array y0: Latitude of obs to move
+        :param int nb_time: Number of iteration for particle
+        :param dict kwargs: look at :py:meth:`GridCollection.advect`
+
+        :return: t,x,y
+
+        .. minigallery:: py_eddy_tracker.GridCollection.path
+        """
+        particles = self.advect(x0.copy(), y0.copy(), *args, **kwargs)
+        t = empty(nb_time + 1, dtype="f8")
+        x = empty((nb_time + 1, x0.size), dtype=x0.dtype)
+        y = empty(x.shape, dtype=y0.dtype)
+        t[0], x[0], y[0] = kwargs.get("t_init"), x0, y0
+        for i in range(nb_time):
+            t[i + 1], x[i + 1], y[i + 1] = particles.__next__()
+        return t, x, y
+
 
 @njit(cache=True)
 def advect_t(x_g, y_g, u_g0, v_g0, m_g0, u_g1, v_g1, m_g1, x, y, m, weigths, half_w=0):

From ab67c557040055976887275b96a01e62abdc5827 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cl=C3=A9ment?=
 <49512274+ludwigVonKoopa@users.noreply.github.com>
Date: Tue, 11 Jan 2022 16:11:49 +0100
Subject: [PATCH 388/441] update changelog for v3.6.0 (#129)

---
 CHANGELOG.rst | 18 +++++++++++++++---
 1 file changed, 15 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 110c6081..2ec35e4b 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -7,7 +7,19 @@ The format is based on `Keep a Changelog <https://keepachangelog.com/en>`_
 and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`_.
 
 [Unreleased]
-------------
+-------------
+Changed
+^^^^^^^
+
+Fixed
+^^^^^
+
+Added
+^^^^^
+
+
+[3.6.0] - 2022-01-12
+--------------------
 Changed
 ^^^^^^^
 
@@ -15,8 +27,8 @@ Changed
   New identifications are produced with this type, old files could still be loaded.
   If you use old identifications for tracking use the `--unraw` option to unpack old times and store data with the new format.
 - Now amplitude is stored with .1 mm of precision (instead of 1 mm), same advice as for time.
-- expose more parameters to users for bash tools build_network & divide_network
-- add warning when loading a file created from a previous version of py-eddy-tracker.
+- Expose more parameters to users for bash tools build_network & divide_network
+- Add warning when loading a file created from a previous version of py-eddy-tracker.
 
 
 

From 2d982d5515ec487c0c850c29a2676b81959288c7 Mon Sep 17 00:00:00 2001
From: Antoine <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 8 Feb 2022 12:32:08 +0100
Subject: [PATCH 389/441] Create codeql-analysis.yml

---
 .github/workflows/codeql-analysis.yml | 70 +++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 .github/workflows/codeql-analysis.yml

diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
new file mode 100644
index 00000000..d9437d16
--- /dev/null
+++ b/.github/workflows/codeql-analysis.yml
@@ -0,0 +1,70 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ master ]
+  schedule:
+    - cron: '41 16 * * 4'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'python' ]
+        # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
+        # Learn more about CodeQL language support at https://git.io/codeql-language-support
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v2
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v1
+      with:
+        languages: ${{ matrix.language }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+        # queries: ./path/to/local/query, your-org/your-repo/queries@main
+
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v1
+
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 https://git.io/JvXDl
+
+    # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
+    #    and modify them (or add more) to build your code if your project
+    #    uses a compiled language
+
+    #- run: |
+    #   make bootstrap
+    #   make release
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v1

From 334d4c124fd998010757479d527fcd72153dcea8 Mon Sep 17 00:00:00 2001
From: AntSimi <36040805+AntSimi@users.noreply.github.com>
Date: Sun, 27 Feb 2022 21:54:49 +0100
Subject: [PATCH 390/441] check coordinates in regular grid #138

---
 CHANGELOG.rst                       | 2 ++
 src/py_eddy_tracker/dataset/grid.py | 4 ++++
 2 files changed, 6 insertions(+)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 2ec35e4b..57fd7551 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -14,6 +14,8 @@ Changed
 Fixed
 ^^^^^
 
+- Check strictly increasing coordinates for RegularGridDataset.
+
 Added
 ^^^^^
 
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 8e9b0ac3..797e0482 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1193,6 +1193,10 @@ def setup_coordinates(self):
             raise Exception(
                 "Coordinates in RegularGridDataset must be 1D array, or think to use UnRegularGridDataset"
             )
+        dx = self.x_bounds[1:] - self.x_bounds[:-1]
+        dy = self.y_bounds[1:] - self.y_bounds[:-1]
+        if (dx < 0).any() or (dy < 0).any():
+            raise Exception("Coordinates in RegularGridDataset must be strictly increasing")
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 

From 5b2f6ff84e4f545a37099061091aba9e1e80e5f0 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 7 Jul 2022 12:11:05 +0200
Subject: [PATCH 391/441] check mask #145 (#150)

* check mask #145
* update python version for doc
* switch order in requirement
* fix pint version
---
 .github/workflows/python-app.yml    |  2 +-
 doc/environment.yml                 |  2 +-
 requirements.txt                    |  8 ++++----
 src/py_eddy_tracker/dataset/grid.py | 18 +++++++++---------
 4 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index a6fcceed..bbc0662c 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -11,7 +11,7 @@ jobs:
       matrix:
         # os: [ubuntu-latest, macos-latest, windows-latest]
         os: [ubuntu-latest, windows-latest]
-        python_version: [3.7, 3.8, 3.9]
+        python_version: [3.7, 3.8, 3.9, '3.10']
     name: Run py eddy tracker build tests
     runs-on: ${{ matrix.os }}
     defaults:
diff --git a/doc/environment.yml b/doc/environment.yml
index 7dcb504d..9d882911 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -2,7 +2,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python=3.8
+  - python=3.10
   - ffmpeg
   - pip:
     - sphinx-gallery
diff --git a/requirements.txt b/requirements.txt
index 477cf32d..497344e6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,11 @@
 matplotlib
-netCDF4
-numba>=0.53
-numpy<1.21
 opencv-python
-pint
+pint==0.18
 polygon3
 pyyaml
 requests
 scipy
 zarr
+netCDF4<1.6
+numpy<1.23
+numba<0.56
\ No newline at end of file
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 797e0482..30cdd863 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -402,6 +402,14 @@ def load(self):
 
         self.setup_coordinates()
 
+    @staticmethod
+    def get_mask(a):
+        if len(a.mask.shape):
+            m = a.mask
+        else:
+            m = ones(a.shape, dtype='bool') if a.mask else zeros(a.shape, dtype='bool')
+        return m
+
     @staticmethod
     def c_to_bounds(c):
         """
@@ -1126,7 +1134,7 @@ def _low_filter(self, grid_name, w_cut, factor=8.0):
         bins = (x_array, y_array)
 
         x_flat, y_flat, z_flat = x.reshape((-1,)), y.reshape((-1,)), data.reshape((-1,))
-        m = ~z_flat.mask
+        m = ~self.get_mask(z_flat)
         x_flat, y_flat, z_flat = x_flat[m], y_flat[m], z_flat[m]
 
         nb_value, _, _ = histogram2d(x_flat, y_flat, bins=bins)
@@ -1936,14 +1944,6 @@ def regrid(self, other, grid_name, new_name=None):
         # self.variables_description[new_name]['infos'] = False
         # self.variables_description[new_name]['kwargs']['dimensions'] = ...
 
-    @staticmethod
-    def get_mask(a):
-        if len(a.mask.shape):
-            m = a.mask
-        else:
-            m = ones(a.shape) if a.mask else zeros(a.shape)
-        return m
-
     def interp(self, grid_name, lons, lats, method="bilinear"):
         """
         Compute z over lons, lats

From e43c5692f48bab7c242722391cb0cd654423664a Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 7 Sep 2022 17:40:28 +0200
Subject: [PATCH 392/441] Add method to create obs from array Nb obs by network
 get track slice

---
 README.md                                     |  2 +-
 src/py_eddy_tracker/observations/groups.py    |  7 ++--
 src/py_eddy_tracker/observations/network.py   | 31 +++++++++++++--
 .../observations/observation.py               | 38 ++++++++++++++++---
 src/py_eddy_tracker/observations/tracking.py  |  9 ++++-
 5 files changed, 74 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md
index c9e7690f..98a16b62 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@
 
 Method was described in :
 
-[Pegliasco, C., Delepoulle, A., Morrow, R., Faugère, Y., and Dibarboure, G.: META3.1exp : A new Global Mesoscale Eddy Trajectories Atlas derived from altimetry, Earth Syst. Sci. Data Discuss.](https://doi.org/10.5194/essd-2021-300)
+[Pegliasco, C., Delepoulle, A., Morrow, R., Faugère, Y., and Dibarboure, G.: META3.1exp : A new Global Mesoscale Eddy Trajectories Atlas derived from altimetry, Earth Syst. Sci. Data Discuss.](https://doi.org/10.5194/essd-14-1087-2022)
 
 [Mason, E., A. Pascual, and J. C. McWilliams, 2014: A new sea surface height–based code for oceanic mesoscale eddy tracking.](https://doi.org/10.1175/JTECH-D-14-00019.1)
 
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 6fea0ace..fcb6733b 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -66,7 +66,7 @@ def get_missing_indices(
     return indices
 
 
-def advect(x, y, c, t0, n_days):
+def advect(x, y, c, t0, n_days, u_name='u', v_name='v'):
     """
     Advect particles from t0 to t0 + n_days, with data cube.
 
@@ -75,13 +75,15 @@ def advect(x, y, c, t0, n_days):
     :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
     :param int t0: julian day of advection start
     :param int n_days: number of days to advect
+    :param str u_name: variable name for u component
+    :param str v_name: variable name for v component
     """
 
     kw = dict(nb_step=6, time_step=86400 / 6)
     if n_days < 0:
         kw["backward"] = True
         n_days = -n_days
-    p = c.advect(x, y, "u", "v", t_init=t0, **kw)
+    p = c.advect(x, y, u_name, v_name, t_init=t0, **kw)
     for _ in range(n_days):
         t, x, y = p.__next__()
     return t, x, y
@@ -125,7 +127,6 @@ def particle_candidate(
     else:
         x, y, i_start = e.create_particles(step_mesh, intern=True)
         print("The contour_start was not correct, speed contour is used")
-
     # Advection
     t_end, x, y = advect(x, y, c, t_start, **kwargs)
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 1c078bf8..4a884705 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -161,6 +161,16 @@ def index_network(self):
             self._index_network = build_index(self.track)
         return self._index_network
 
+    def network_size(self, id_networks):
+        """
+        Return size for specified network
+
+        :param list,array id_networks: ids to identify network
+        """
+        i = id_networks - self.index_network[2]
+        i_start, i_stop = self.index_network[0][i], self.index_network[1][i]
+        return i_stop - i_start
+    
     def network_slice(self, id_network):
         """
         Return slice for one network
@@ -679,7 +689,13 @@ def display_timeline(
         """
         self.only_one_network()
         j = 0
-        line_kw = dict(ls="-", marker="+", markersize=6, zorder=1, lw=3,)
+        line_kw = dict(
+            ls="-",
+            marker="+",
+            markersize=6,
+            zorder=1,
+            lw=3,
+        )
         line_kw.update(kwargs)
         mappables = dict(lines=list())
 
@@ -912,7 +928,10 @@ def event_map(self, ax, **kwargs):
         """Add the merging and splitting events to a map"""
         j = 0
         mappables = dict()
-        symbol_kw = dict(markersize=10, color="k",)
+        symbol_kw = dict(
+            markersize=10,
+            color="k",
+        )
         symbol_kw.update(kwargs)
         symbol_kw_split = symbol_kw.copy()
         symbol_kw_split["markersize"] += 4
@@ -941,7 +960,13 @@ def event_map(self, ax, **kwargs):
         return mappables
 
     def scatter(
-        self, ax, name="time", factor=1, ref=None, edgecolor_cycle=None, **kwargs,
+        self,
+        ax,
+        name="time",
+        factor=1,
+        ref=None,
+        edgecolor_cycle=None,
+        **kwargs,
     ):
         """
         This function scatters the path of each network, with the merging and splitting events
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 3c8e1938..043b504d 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -130,7 +130,7 @@ def shifted_ellipsoid_degrees_mask2(lon0, lat0, lon1, lat1, minor=1.5, major=1.5
             if dx > major[j]:
                 m[j, i] = False
                 continue
-            d_normalize = dx ** 2 / major[j] ** 2 + dy ** 2 / minor ** 2
+            d_normalize = dx**2 / major[j] ** 2 + dy**2 / minor**2
             m[j, i] = d_normalize < 1.0
     return m
 
@@ -729,7 +729,11 @@ def load_file(cls, filename, **kwargs):
         .. code-block:: python
 
             kwargs_latlon_300 = dict(
-                include_vars=["longitude", "latitude",], indexs=dict(obs=slice(0, 300)),
+                include_vars=[
+                    "longitude",
+                    "latitude",
+                ],
+                indexs=dict(obs=slice(0, 300)),
             )
             small_dataset = TrackEddiesObservations.load_file(
                 filename, **kwargs_latlon_300
@@ -1047,6 +1051,19 @@ def compare_units(input_unit, output_unit, name):
                     output_unit,
                 )
 
+    @classmethod
+    def from_array(cls, arrays, **kwargs):
+        nb = arrays["time"].size
+        # if hasattr(handler, "track_array_variables"):
+        #     kwargs["track_array_variables"] = handler.track_array_variables
+        #     kwargs["array_variables"] = handler.array_variables.split(",")
+        # if len(handler.track_extra_variables) > 1:
+        #     kwargs["track_extra_variables"] = handler.track_extra_variables.split(",")
+        eddies = cls(size=nb, **kwargs)
+        for k, v in arrays.items():
+            eddies.obs[k] = v
+        return eddies
+
     @classmethod
     def from_zarr(cls, handler):
         nb_obs = len(handler.dimensions[cls.obs_dimension(handler)])
@@ -1302,7 +1319,7 @@ def fixed_ellipsoid_mask(
             if isinstance(minor, ndarray):
                 minor = minor[index_self]
             # focal distance
-            f_degree = ((major ** 2 - minor ** 2) ** 0.5) / (
+            f_degree = ((major**2 - minor**2) ** 0.5) / (
                 111.2 * cos(radians(self.lat[index_self]))
             )
 
@@ -2010,7 +2027,11 @@ def bins_stat(self, xname, bins=None, yname=None, method=None, mask=None):
 
     def format_label(self, label):
         t0, t1 = self.period
-        return label.format(t0=t0, t1=t1, nb_obs=len(self),)
+        return label.format(
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+        )
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
@@ -2381,7 +2402,14 @@ def grid_count_pixel_in(
         x_, y_ = reduce_size(x_, y_)
         v = create_vertice(x_, y_)
         (x_start, x_stop), (y_start, y_stop) = bbox_indice_regular(
-            v, x_bounds, y_bounds, xstep, ystep, N, is_circular, x_size,
+            v,
+            x_bounds,
+            y_bounds,
+            xstep,
+            ystep,
+            N,
+            is_circular,
+            x_size,
         )
         i, j = get_pixel_in_regular(v, x_c, y_c, x_start, x_stop, y_start, y_stop)
         grid_count_(grid, i, j)
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 6612c6d5..7680961c 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -68,6 +68,10 @@ def __init__(self, *args, **kwargs):
         self.__obs_by_track = None
         self.__nb_track = None
 
+    def track_slice(self, track):
+        i0 = self.index_from_track[track]
+        return slice(i0, i0 + self.nb_obs_by_track[track])
+
     def iter_track(self):
         """
         Yield track
@@ -582,7 +586,10 @@ def close_tracks(self, other, nb_obs_min=10, **kwargs):
     def format_label(self, label):
         t0, t1 = self.period
         return label.format(
-            t0=t0, t1=t1, nb_obs=len(self), nb_tracks=(self.nb_obs_by_track != 0).sum(),
+            t0=t0,
+            t1=t1,
+            nb_obs=len(self),
+            nb_tracks=(self.nb_obs_by_track != 0).sum(),
         )
 
     def plot(self, ax, ref=None, **kwargs):

From 6dcbbc43812ac2f1a51983253ff779ae8020741b Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 13 Sep 2022 12:20:31 +0200
Subject: [PATCH 393/441] Add log in GUI (#155)

Give a factor in all case of unit
---
 check.sh                                        | 2 +-
 src/py_eddy_tracker/dataset/grid.py             | 2 +-
 src/py_eddy_tracker/gui.py                      | 5 ++++-
 src/py_eddy_tracker/observations/observation.py | 3 +++
 4 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/check.sh b/check.sh
index ddafab69..b158028a 100644
--- a/check.sh
+++ b/check.sh
@@ -4,4 +4,4 @@ blackdoc src tests examples
 flake8 tests examples src --count --select=E9,F63,F7,F82 --show-source --statistics
 # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
 flake8 tests examples src --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-pytest -vv --cov py_eddy_tracker --cov-report html
+python -m pytest -vv --cov py_eddy_tracker --cov-report html
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 30cdd863..bf02a1b0 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -407,7 +407,7 @@ def get_mask(a):
         if len(a.mask.shape):
             m = a.mask
         else:
-            m = ones(a.shape, dtype='bool') if a.mask else zeros(a.shape, dtype='bool')
+            m = ones(a.shape, dtype="bool") if a.mask else zeros(a.shape, dtype="bool")
         return m
 
     @staticmethod
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index deeb6660..0f310467 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -3,6 +3,7 @@
 GUI class
 """
 
+import logging
 from datetime import datetime, timedelta
 
 import matplotlib.pyplot as plt
@@ -11,6 +12,8 @@
 
 from .generic import flatten_line_matrix, split_line
 
+logger = logging.getLogger("pet")
+
 try:
     from pylook.axes import PlatCarreAxes
 except ImportError:
@@ -91,7 +94,7 @@ def set_initial_values(self):
         for dataset in self.datasets.values():
             t0_, t1_ = dataset.period
             t0, t1 = min(t0, t0_), max(t1, t1_)
-
+        logger.debug("period detected %f -> %f", t0, t1)
         self.settings = dict(period=(t0, t1), now=t1)
 
     @property
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 043b504d..651aaa9a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1050,6 +1050,9 @@ def compare_units(input_unit, output_unit, name):
                     input_unit,
                     output_unit,
                 )
+            return factor
+        else:
+            return 1
 
     @classmethod
     def from_array(cls, arrays, **kwargs):

From 9e04d815e3120c55d4b6b2c82b130236373978a4 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 19 Sep 2022 10:11:51 +0200
Subject: [PATCH 394/441] - Add method to colorize contour with a field - Add
 option to force align on to return all step for reference dataset - Add
 method and property to network to easily select segment and network - Add
 method to found same track/segment/network in  dataset - Rewrite particle
 candidate to be easily parallelize

---
 setup.cfg                                     |  14 +
 setup.py                                      |   1 +
 src/py_eddy_tracker/__init__.py               |  13 +-
 src/py_eddy_tracker/appli/eddies.py           |  18 +-
 src/py_eddy_tracker/appli/network.py          | 133 +++++++++
 src/py_eddy_tracker/dataset/grid.py           |  38 ++-
 src/py_eddy_tracker/eddy_feature.py           |   6 +-
 src/py_eddy_tracker/generic.py                |  59 +++-
 src/py_eddy_tracker/misc.py                   |  19 ++
 src/py_eddy_tracker/observations/groups.py    | 136 ++++++++-
 src/py_eddy_tracker/observations/network.py   | 277 ++++++++++++++++--
 .../observations/observation.py               |  73 +++--
 src/py_eddy_tracker/poly.py                   |  41 ++-
 tests/test_grid.py                            |  16 +-
 tests/test_poly.py                            |   2 +-
 15 files changed, 738 insertions(+), 108 deletions(-)
 create mode 100644 src/py_eddy_tracker/misc.py

diff --git a/setup.cfg b/setup.cfg
index dfed5c3b..66f3f495 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,8 +1,22 @@
 [flake8]
+max-line-length = 140
 ignore =
     E203, # whitespace before ':'
     W503,  # line break before binary operator
 
+[isort]
+combine_as_imports=True
+force_grid_wrap=0
+force_sort_within_sections=True
+force_to_top=typing
+include_trailing_comma=True
+line_length=140
+multi_line_output=3
+skip=
+    build
+    docs/source/conf.py
+
+
 [versioneer]
 VCS = git
 style = pep440
diff --git a/setup.py b/setup.py
index 06432bd1..e0767c10 100644
--- a/setup.py
+++ b/setup.py
@@ -48,6 +48,7 @@
             "EddyNetworkGroup = py_eddy_tracker.appli.network:build_network",
             "EddyNetworkBuildPath = py_eddy_tracker.appli.network:divide_network",
             "EddyNetworkSubSetter = py_eddy_tracker.appli.network:subset_network",
+            "EddyNetworkQuickCompare = py_eddy_tracker.appli.network:quick_compare",
             # anim/gui
             "EddyAnim = py_eddy_tracker.appli.gui:anim",
             "GUIEddy = py_eddy_tracker.appli.gui:guieddy",
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 275bb795..f3ecec84 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -422,14 +422,20 @@ def identify_time(str_date):
         nc_name="previous_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Previous cost for previous observation", comment="",),
+        nc_attr=dict(
+            long_name="Previous cost for previous observation",
+            comment="",
+        ),
     ),
     next_cost=dict(
         attr_name=None,
         nc_name="next_cost",
         nc_type="float32",
         nc_dims=("obs",),
-        nc_attr=dict(long_name="Next cost for next observation", comment="",),
+        nc_attr=dict(
+            long_name="Next cost for next observation",
+            comment="",
+        ),
     ),
     n=dict(
         attr_name=None,
@@ -640,7 +646,8 @@ def identify_time(str_date):
         nc_type="f4",
         nc_dims=("obs",),
         nc_attr=dict(
-            long_name="Log base 10 background chlorophyll", units="Log(Chl/[mg/m^3])",
+            long_name="Log base 10 background chlorophyll",
+            units="Log(Chl/[mg/m^3])",
         ),
     ),
     year=dict(
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index 4809fddf..df4e7d43 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -243,7 +243,8 @@ def browse_dataset_in(
         filenames = bytes_(glob(full_path))
 
     dataset_list = empty(
-        len(filenames), dtype=[("filename", "S500"), ("date", "datetime64[s]")],
+        len(filenames),
+        dtype=[("filename", "S500"), ("date", "datetime64[s]")],
     )
     dataset_list["filename"] = filenames
 
@@ -371,7 +372,8 @@ def track(
 
     logger.info("Longer track saved have %d obs", c.nb_obs_by_tracks.max())
     logger.info(
-        "The mean length is %d observations for long track", c.nb_obs_by_tracks.mean(),
+        "The mean length is %d observations for long track",
+        c.nb_obs_by_tracks.mean(),
     )
 
     long_track.write_file(**kw_write)
@@ -381,7 +383,14 @@ def track(
 
 
 def get_group(
-    dataset1, dataset2, index1, index2, score, invalid=2, low=10, high=60,
+    dataset1,
+    dataset2,
+    index1,
+    index2,
+    score,
+    invalid=2,
+    low=10,
+    high=60,
 ):
     group1, group2 = dict(), dict()
     m_valid = (score * 100) >= invalid
@@ -490,7 +499,8 @@ def get_values(v, dataset):
             ]
 
     labels = dict(
-        high=f"{high:0.0f} <= high", low=f"{invalid:0.0f} <= low < {low:0.0f}",
+        high=f"{high:0.0f} <= high",
+        low=f"{invalid:0.0f} <= low < {low:0.0f}",
     )
 
     keys = [labels.get(key, key) for key in list(gr_ref.values())[0].keys()]
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index e9baa7be..bfe226cc 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -8,6 +8,7 @@
 from .. import EddyParser
 from ..observations.network import Network, NetworkObservations
 from ..observations.tracking import TrackEddiesObservations
+from numpy import in1d, zeros
 
 logger = logging.getLogger("pet")
 
@@ -128,3 +129,135 @@ def subset_network():
     if args.period is not None:
         n = n.extract_with_period(args.period)
     n.write_file(filename=args.out)
+
+
+def quick_compare():
+    parser = EddyParser(
+        """Tool to have a quick comparison between several network:
+        - N : network
+        - S : segment
+        - Obs : observations
+        """
+        
+    )
+    parser.add_argument("ref", help="Identification file of reference")
+    parser.add_argument("others", nargs="+", help="Identifications files to compare")
+    parser.add_argument(
+        "--path_out", default=None, help="Save each group in separate file"
+    )
+    args = parser.parse_args()
+
+    kw = dict(
+        include_vars=['longitude', 'latitude', 'time', 'track', 'segment', 'next_obs', 'previous_obs']
+    )
+
+    if args.path_out is not None:
+        kw = dict()
+
+    ref = NetworkObservations.load_file(args.ref, **kw)
+    print(
+        f"[ref] {args.ref} -> {ref.nb_network} network / {ref.nb_segment} segment / {len(ref)} obs "
+        f"-> {ref.network_size(0)} trash obs, "
+        f"{len(ref.merging_event())} merging, {len(ref.splitting_event())} spliting"
+        )
+    others = {other: NetworkObservations.load_file(other, **kw) for other in args.others}
+
+    if args.path_out is not None:
+        groups_ref, groups_other = run_compare(ref, others, **kwargs)
+        if not exists(args.path_out):
+            mkdir(args.path_out)
+        for i, other_ in enumerate(args.others):
+            dirname_ = f"{args.path_out}/{other_.replace('/', '_')}/"
+            if not exists(dirname_):
+                mkdir(dirname_)
+            for k, v in groups_other[other_].items():
+                basename_ = f"other_{k}.nc"
+                others[other_].index(v).write_file(filename=f"{dirname_}/{basename_}")
+            for k, v in groups_ref[other_].items():
+                basename_ = f"ref_{k}.nc"
+                ref.index(v).write_file(filename=f"{dirname_}/{basename_}")
+        return
+    display_compare(ref, others)
+
+
+def run_compare(ref, others):
+    outs = dict()
+    for i, (k, other) in enumerate(others.items()):
+        out = dict()
+        print(
+            f"[{i}]   {k} -> {other.nb_network} network / {other.nb_segment} segment / {len(other)} obs "
+            f"-> {other.network_size(0)} trash obs, "
+            f"{len(other.merging_event())} merging, {len(other.splitting_event())} spliting"
+            )
+        ref_id, other_id = ref.identify_in(other, size_min=2)
+        m = other_id != -1
+        ref_id, other_id = ref_id[m], other_id[m]
+        out['same N(N)'] = m.sum()
+        out['same N(Obs)'] = ref.network_size(ref_id).sum()
+
+        # For network which have same obs
+        ref_, other_ = ref.networks(ref_id), other.networks(other_id)
+        ref_segu, other_segu = ref_.identify_in(other_, segment=True)
+        m = other_segu==-1
+        ref_track_no_match, _ = ref_.unique_segment_to_id(ref_segu[m])
+        ref_segu, other_segu = ref_segu[~m], other_segu[~m]
+        m = ~in1d(ref_id, ref_track_no_match)
+        out['same NS(N)'] = m.sum()
+        out['same NS(Obs)'] = ref.network_size(ref_id[m]).sum()
+
+        # Check merge/split
+        def follow_obs(d, i_follow):
+            m = i_follow != -1
+            i_follow = i_follow[m]
+            t, x, y = zeros(m.size, d.time.dtype), zeros(m.size, d.longitude.dtype), zeros(m.size, d.latitude.dtype)
+            t[m], x[m], y[m] = d.time[i_follow], d.longitude[i_follow], d.latitude[i_follow]
+            return t, x, y
+        def next_obs(d, i_seg):
+            last_i = d.index_segment_track[1][i_seg] - 1
+            return follow_obs(d, d.next_obs[last_i])
+        def previous_obs(d, i_seg):
+            first_i = d.index_segment_track[0][i_seg]
+            return follow_obs(d, d.previous_obs[first_i])
+
+        tref, xref, yref = next_obs(ref_, ref_segu)
+        tother, xother, yother = next_obs(other_, other_segu)
+
+        m = (tref == tother) & (xref == xother) & (yref == yother) 
+        print(m.sum(), m.size, ref_segu.size, ref_track_no_match.size)
+
+        tref, xref, yref = previous_obs(ref_, ref_segu)
+        tother, xother, yother = previous_obs(other_, other_segu)
+
+        m = (tref == tother) & (xref == xother) & (yref == yother) 
+        print(m.sum(), m.size, ref_segu.size, ref_track_no_match.size)
+
+
+
+        ref_segu, other_segu = ref.identify_in(other, segment=True)
+        m = other_segu != -1
+        out['same S(S)'] = m.sum()
+        out['same S(Obs)'] = ref.segment_size()[ref_segu[m]].sum()
+
+        outs[k] = out
+    return outs
+
+def display_compare(ref, others):
+    def display(value, ref=None):
+        if ref:
+            outs = [f"{v/ref[k] * 100:.1f}% ({v})" for k, v in value.items()]
+        else:
+            outs = value
+        return "".join([f"{v:^18}" for v in outs])
+    
+    datas = run_compare(ref, others)
+    ref_ = {
+        'same N(N)' : ref.nb_network,
+        "same N(Obs)": len(ref),
+        'same NS(N)' : ref.nb_network,
+        'same NS(Obs)' : len(ref),
+        'same S(S)' : ref.nb_segment,
+        'same S(Obs)' : len(ref),
+        }
+    print("     ", display(ref_.keys()))
+    for i, (_, v) in enumerate(datas.items()):
+        print(f"[{i:2}] ", display(v, ref=ref_))
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index bf02a1b0..24b1e25b 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -310,6 +310,11 @@ def __init__(
             self.load_general_features()
             self.load()
 
+    def populate(self):
+        if self.dimensions is None:
+            self.load_general_features()
+            self.load()
+
     @property
     def is_centered(self):
         """Give True if pixel is described with its center's position or
@@ -539,7 +544,8 @@ def grid(self, varname, indexs=None):
                         self.vars[varname] = self.vars[varname].T
             if self.nan_mask:
                 self.vars[varname] = ma.array(
-                    self.vars[varname], mask=isnan(self.vars[varname]),
+                    self.vars[varname],
+                    mask=isnan(self.vars[varname]),
                 )
             if not hasattr(self.vars[varname], "mask"):
                 self.vars[varname] = ma.array(
@@ -869,7 +875,9 @@ def eddy_identification(
                         num_fac=presampling_multiplier,
                     )
                     xy_e = uniform_resample(
-                        contour.lon, contour.lat, num_fac=presampling_multiplier,
+                        contour.lon,
+                        contour.lat,
+                        num_fac=presampling_multiplier,
                     )
                     xy_s = uniform_resample(
                         speed_contour.lon,
@@ -1204,7 +1212,9 @@ def setup_coordinates(self):
         dx = self.x_bounds[1:] - self.x_bounds[:-1]
         dy = self.y_bounds[1:] - self.y_bounds[:-1]
         if (dx < 0).any() or (dy < 0).any():
-            raise Exception("Coordinates in RegularGridDataset must be strictly increasing")
+            raise Exception(
+                "Coordinates in RegularGridDataset must be strictly increasing"
+            )
         self._x_step = (self.x_c[1:] - self.x_c[:-1]).mean()
         self._y_step = (self.y_c[1:] - self.y_c[:-1]).mean()
 
@@ -1736,7 +1746,7 @@ def compute_stencil(
             self.x_c,
             self.y_c,
             data.data,
-            data.mask,
+            self.get_mask(data),
             self.EARTH_RADIUS,
             vertical=vertical,
             stencil_halfwidth=stencil_halfwidth,
@@ -2285,23 +2295,23 @@ def __init__(self):
         self.datasets = list()
 
     @classmethod
-    def from_netcdf_cube(cls, filename, x_name, y_name, t_name, heigth=None):
+    def from_netcdf_cube(cls, filename, x_name, y_name, t_name, heigth=None, **kwargs):
         new = cls()
         with Dataset(filename) as h:
             for i, t in enumerate(h.variables[t_name][:]):
-                d = RegularGridDataset(filename, x_name, y_name, indexs={t_name: i})
+                d = RegularGridDataset(filename, x_name, y_name, indexs={t_name: i}, **kwargs)
                 if heigth is not None:
                     d.add_uv(heigth)
                 new.datasets.append((t, d))
         return new
 
     @classmethod
-    def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None):
+    def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None, **kwargs):
         new = cls()
         for i, _t in enumerate(t):
             filename = filenames[i]
             logger.debug(f"load file {i:02d}/{len(t)} t={_t} : {filename}")
-            d = RegularGridDataset(filename, x_name, y_name, indexs=indexs)
+            d = RegularGridDataset(filename, x_name, y_name, indexs=indexs, **kwargs)
             if heigth is not None:
                 d.add_uv(heigth)
             new.datasets.append((_t, d))
@@ -2349,6 +2359,7 @@ def __iter__(self):
     def __getitem__(self, item):
         for t, d in self.datasets:
             if t == item:
+                d.populate()
                 return d
         raise KeyError(item)
 
@@ -2448,10 +2459,13 @@ def advect(
         :param array y: Latitude of obs to move
         :param str,array u_name: U field to advect obs
         :param str,array v_name: V field to advect obs
+        :param float t_init: time to start advection
+        :param array,None mask_particule: advect only i mask is True
         :param int nb_step: Number of iteration before to release data
         :param int time_step: Number of second for each advection
+        :param bool rk4: Use rk4 algorithm instead of finite difference
 
-        :return: x,y position
+        :return: t,x,y position
 
         .. minigallery:: py_eddy_tracker.GridCollection.advect
         """
@@ -2477,7 +2491,7 @@ def advect(
         else:
             mask_particule += isnan(x) + isnan(y)
         while True:
-            logger.debug(f"advect : t={t}")
+            logger.debug(f"advect : t={t/86400}")
             if (backward and t <= t1) or (not backward and t >= t1):
                 t0, u0, v0, m0 = t1, u1, v1, m1
                 t1, d1 = generator.__next__()
@@ -2507,7 +2521,7 @@ def get_next_time_step(self, t_init):
         for i, (t, dataset) in enumerate(self.datasets):
             if t < t_init:
                 continue
-
+            dataset.populate()
             logger.debug(f"i={i}, t={t}, dataset={dataset}")
             yield t, dataset
 
@@ -2517,7 +2531,7 @@ def get_previous_time_step(self, t_init):
             i -= 1
             if t > t_init:
                 continue
-
+            dataset.populate()
             logger.debug(f"i={i}, t={t}, dataset={dataset}")
             yield t, dataset
 
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 3640b306..0f13eb2a 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -433,8 +433,8 @@ def __init__(self, x, y, z, levels, wrap_x=False, keep_unclose=False):
         closed_contours = 0
         # Count level and contour
         for i, collection in enumerate(self.contours.collections):
-            collection.get_nearest_path_bbox_contain_pt = lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(
-                i, x, y
+            collection.get_nearest_path_bbox_contain_pt = (
+                lambda x, y, i=i: self.get_index_nearest_path_bbox_contain_pt(i, x, y)
             )
             nb_level += 1
 
@@ -784,7 +784,7 @@ def index_from_nearest_path_with_pt_in_bbox_(
             d_x = x_value[i_elt_pt] - xpt_
             if abs(d_x) > 180:
                 d_x = (d_x + 180) % 360 - 180
-            dist = d_x ** 2 + (y_value[i_elt_pt] - ypt) ** 2
+            dist = d_x**2 + (y_value[i_elt_pt] - ypt) ** 2
             if dist < dist_ref:
                 dist_ref = dist
                 i_ref = i_elt_c
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 94cf321f..c2d7de8a 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -132,8 +132,8 @@ def distance_grid(lon0, lat0, lon1, lat1):
             sin_dlon = sin((dlon) * 0.5 * D2R)
             cos_lat1 = cos(lat0[i] * D2R)
             cos_lat2 = cos(lat1[j] * D2R)
-            a_val = sin_dlon ** 2 * cos_lat1 * cos_lat2 + sin_dlat ** 2
-            dist[i, j] = 6370.997 * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
+            a_val = sin_dlon**2 * cos_lat1 * cos_lat2 + sin_dlat**2
+            dist[i, j] = 6370.997 * 2 * arctan2(a_val**0.5, (1 - a_val) ** 0.5)
     return dist
 
 
@@ -154,8 +154,8 @@ def distance(lon0, lat0, lon1, lat1):
     sin_dlon = sin((lon1 - lon0) * 0.5 * D2R)
     cos_lat1 = cos(lat0 * D2R)
     cos_lat2 = cos(lat1 * D2R)
-    a_val = sin_dlon ** 2 * cos_lat1 * cos_lat2 + sin_dlat ** 2
-    return 6370997.0 * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
+    a_val = sin_dlon**2 * cos_lat1 * cos_lat2 + sin_dlat**2
+    return 6370997.0 * 2 * arctan2(a_val**0.5, (1 - a_val) ** 0.5)
 
 
 @njit(cache=True)
@@ -367,7 +367,7 @@ def simplify(x, y, precision=0.1):
     :return: (x,y)
     :rtype: (array,array)
     """
-    precision2 = precision ** 2
+    precision2 = precision**2
     nb = x.shape[0]
     # will be True for kept values
     mask = ones(nb, dtype=bool_)
@@ -399,7 +399,7 @@ def simplify(x, y, precision=0.1):
         if d_y > precision:
             x_previous, y_previous = x_, y_
             continue
-        d2 = d_x ** 2 + d_y ** 2
+        d2 = d_x**2 + d_y**2
         if d2 > precision2:
             x_previous, y_previous = x_, y_
             continue
@@ -517,8 +517,8 @@ def coordinates_to_local(lon, lat, lon0, lat0):
     sin_dlon = sin(dlon * 0.5)
     cos_lat0 = cos(lat0 * D2R)
     cos_lat = cos(lat * D2R)
-    a_val = sin_dlon ** 2 * cos_lat0 * cos_lat + sin_dlat ** 2
-    module = R * 2 * arctan2(a_val ** 0.5, (1 - a_val) ** 0.5)
+    a_val = sin_dlon**2 * cos_lat0 * cos_lat + sin_dlat**2
+    module = R * 2 * arctan2(a_val**0.5, (1 - a_val) ** 0.5)
 
     azimuth = pi / 2 - arctan2(
         cos_lat * sin(dlon),
@@ -541,7 +541,7 @@ def local_to_coordinates(x, y, lon0, lat0):
     """
     D2R = pi / 180.0
     R = 6370997
-    d = (x ** 2 + y ** 2) ** 0.5 / R
+    d = (x**2 + y**2) ** 0.5 / R
     a = -(arctan2(y, x) - pi / 2)
     lat = arcsin(sin(lat0 * D2R) * cos(d) + cos(lat0 * D2R) * sin(d) * cos(a))
     lon = (
@@ -612,3 +612,44 @@ def build_circle(x0, y0, r):
     angle = radians(linspace(0, 360, 50))
     x_norm, y_norm = cos(angle), sin(angle)
     return x_norm * r + x0, y_norm * r + y0
+
+
+@njit(cache=True)
+def window_index(x, x0, half_window=1):
+    """
+    Give for a fixed half_window each start and end index for each x0, in
+    an unsorted array.
+
+    :param array x: array of value
+    :param array x0: array of window center
+    :param float half_window: half window
+    """
+    # Sort array, bounds will be sort also
+    i_ordered = x.argsort()
+    nb_x, nb_pt = x.size, x0.size
+    first_index = empty(nb_pt, dtype=i_ordered.dtype)
+    last_index = empty(nb_pt, dtype=i_ordered.dtype)
+    # First bound to find
+    j_min, j_max = 0, 0
+    x_min = x0[j_min] - half_window
+    x_max = x0[j_max] + half_window
+    # We iterate on ordered x
+    for i, i_x in enumerate(i_ordered):
+        x_ = x[i_x]
+        # if x bigger than x_min , we found bound and search next one
+        while x_ > x_min and j_min < nb_pt:
+            first_index[j_min] = i
+            j_min += 1
+            x_min = x0[j_min] - half_window
+        # if x bigger than x_max , we found bound and search next one
+        while x_ > x_max and j_max < nb_pt:
+            last_index[j_max] = i
+            j_max += 1
+            x_max = x0[j_max] + half_window
+        if j_max == nb_pt:
+            break
+    for i in range(j_min, nb_pt):
+        first_index[i] = nb_x
+    for i in range(j_max, nb_pt):
+        last_index[i] = nb_x
+    return i_ordered, first_index, last_index
diff --git a/src/py_eddy_tracker/misc.py b/src/py_eddy_tracker/misc.py
new file mode 100644
index 00000000..eb0dc5d1
--- /dev/null
+++ b/src/py_eddy_tracker/misc.py
@@ -0,0 +1,19 @@
+import re
+from matplotlib.animation import FuncAnimation
+
+class VideoAnimation(FuncAnimation):
+    def _repr_html_(self, *args, **kwargs):
+        """To get video in html and have a player"""
+        content = self.to_html5_video()
+        return re.sub(
+            r'width="[0-9]*"\sheight="[0-9]*"', 'width="100%" height="100%"', content
+        )
+
+    def save(self, *args, **kwargs):
+        if args[0].endswith("gif"):
+            # In this case gif is used to create thumbnail which is not used but consume same time than video
+            # So we create an empty file, to save time
+            with open(args[0], "w") as _:
+                pass
+            return
+        return super().save(*args, **kwargs)
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index fcb6733b..66574407 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -3,10 +3,13 @@
 
 from numba import njit
 from numba import types as nb_types
-from numpy import arange, int32, interp, median, where, zeros
+from numpy import arange, int32, interp, median, where, zeros, full, isnan
 
 from .observation import EddiesObservations
 
+from ..generic import window_index
+from ..poly import create_meshed_particles, poly_indexs
+
 logger = logging.getLogger("pet")
 
 
@@ -89,6 +92,39 @@ def advect(x, y, c, t0, n_days, u_name='u', v_name='v'):
     return t, x, y
 
 
+def particle_candidate_step(t_start, contours_start, contours_end, space_step, dt, c, **kwargs):
+    """Select particles within eddies, advect them, return target observation and associated percentages.
+    For one time step.
+
+    :param int t_start: julian day of the advection
+    :param (np.array(float),np.array(float)) contours_start: origin contour
+    :param (np.array(float),np.array(float)) contours_end: destination contour
+    :param float space_step: step between 2 particles
+    :param int dt: duration of advection
+    :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :params dict kwargs: dict of params given to advection
+    :return (np.array,np.array): return target index and percent associate
+    """
+    # Create particles in start contour
+    x, y, i_start = create_meshed_particles(*contours_start, space_step)
+    # Advect particles
+    kw = dict(nb_step=6, time_step=86400 / 6)
+    p = c.advect(x, y, t_init=t_start, **kwargs, **kw)
+    for _ in range(dt):
+        _, x, y = p.__next__()
+    m = ~(isnan(x) + isnan(y))
+    i_end = full(x.shape, -1, dtype="i4")
+    if m.any():
+        # Id eddies for each alive particle in start contour
+        i_end[m] = poly_indexs(x[m], y[m], *contours_end)
+    shape = (contours_start[0].shape[0], 2)
+    # Get target for each contour
+    i_target, pct_target = full(shape, -1, dtype="i4"), zeros(shape, dtype="f8")
+    nb_end = contours_end[0].shape[0]
+    get_targets(i_start, i_end, i_target, pct_target, nb_end)
+    return i_target, pct_target.astype('i1')
+
+
 def particle_candidate(
     c,
     eddies,
@@ -120,13 +156,8 @@ def particle_candidate(
     translate_start = where(m_start)[0]
 
     # Create particles in specified contour
-    if contour_start == "speed":
-        x, y, i_start = e.create_particles(step_mesh, intern=True)
-    elif contour_start == "effective":
-        x, y, i_start = e.create_particles(step_mesh, intern=False)
-    else:
-        x, y, i_start = e.create_particles(step_mesh, intern=True)
-        print("The contour_start was not correct, speed contour is used")
+    intern = False if contour_start == "effective" else True
+    x, y, i_start = e.create_particles(step_mesh, intern=intern)
     # Advection
     t_end, x, y = advect(x, y, c, t_start, **kwargs)
 
@@ -138,18 +169,54 @@ def particle_candidate(
     translate_end = where(m_end)[0]
 
     # Id eddies for each alive particle in specified contour
-    if contour_end == "speed":
-        i_end = e_end.contains(x, y, intern=True)
-    elif contour_end == "effective":
-        i_end = e_end.contains(x, y, intern=False)
-    else:
-        i_end = e_end.contains(x, y, intern=True)
-        print("The contour_end was not correct, speed contour is used")
+    intern = False if contour_end == "effective" else True
+    i_end = e_end.contains(x, y, intern=intern)
 
     # compute matrix and fill target array
     get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct)
 
 
+@njit(cache=True)
+def get_targets(i_start, i_end, i_target, pct, nb_end):
+    """Compute target observation and associated percentages
+
+    :param array(int) i_start: indices in time 0
+    :param array(int) i_end: indices in time N
+    :param array(int) i_target: corresponding obs where particles are advected
+    :param array(int) pct: corresponding percentage of avected particles
+    :param int nb_end: number of contour at time N
+    """
+    nb_start = i_target.shape[0]
+    # Matrix which will store count for every couple
+    counts = zeros((nb_start, nb_end), dtype=nb_types.int32)
+    # Number of particles in each origin observation
+    ref = zeros(nb_start, dtype=nb_types.int32)
+    # For each particle
+    for i in range(i_start.size):
+        i_end_ = i_end[i]
+        i_start_ = i_start[i]
+        ref[i_start_] += 1
+        if i_end_ != -1:
+            counts[i_start_, i_end_] += 1
+    # From i to j
+    for i in range(nb_start):
+        for j in range(nb_end):
+            count = counts[i, j]
+            if count == 0:
+                continue
+            pct_ = count / ref[i] * 100
+            pct_0 = pct[i, 0]
+            # If percent is higher than previous stored in rank 0
+            if pct_ > pct_0:
+                pct[i, 1] = pct_0
+                pct[i, 0] = pct_
+                i_target[i, 1] = i_target[i, 0]
+                i_target[i, 0] = j
+            # If percent is higher than previous stored in rank 1
+            elif pct_ > pct[i, 1]:
+                pct[i, 1] = pct_
+                i_target[i, 1] = j
+
 @njit(cache=True)
 def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
     """Compute target observation and associated percentages
@@ -278,3 +345,42 @@ def keep_tracks_by_date(self, date, nb_days):
                 mask[i] = True
 
         return self.extract_with_mask(mask)
+
+    def particle_candidate_atlas(self, cube, space_step, dt, start_intern=False, end_intern=False, **kwargs):
+        """Select particles within eddies, advect them, return target observation and associated percentages
+
+        :param `~py_eddy_tracker.dataset.grid.GridCollection` cube: GridCollection with speed for particles
+        :param float space_step: step between 2 particles
+        :param int dt: duration of advection
+        :param bool start_intern: Use intern or extern contour at injection, defaults to False
+        :param bool end_intern: Use intern or extern contour at end of advection, defaults to False
+        :params dict kwargs: dict of params given to advection
+        :return (np.array,np.array): return target index and percent associate
+        """
+        t_start, t_end = int(self.period[0]), int(self.period[1])
+        # Pre-compute to get time index
+        i_sort, i_start, i_end = window_index(self.time, arange(t_start, t_end + 1), .5)
+        # Out shape
+        shape = (len(self), 2)
+        i_target, pct = full(shape, -1, dtype="i4"), zeros(shape, dtype="i1")
+        # Backward or forward
+        times = arange(t_start, t_end - dt) if dt > 0 else arange(t_start + dt, t_end)
+        for t in times:
+            # Get index for origin
+            i = t - t_start
+            indexs0 = i_sort[i_start[i]:i_end[i]]
+            # Get index for end
+            i = t + dt - t_start
+            indexs1 = i_sort[i_start[i]:i_end[i]]
+            # Get contour data
+            contours0 = [self[label][indexs0] for label in self.intern(start_intern)]
+            contours1 = [self[label][indexs1] for label in self.intern(end_intern)]
+            # Get local result
+            i_target_, pct_ = particle_candidate_step(t, contours0, contours1, space_step, dt, cube, **kwargs)
+            # Merge result
+            m = i_target_ != -1
+            i_target_[m] = indexs1[i_target_[m]]
+            i_target[indexs0] =  i_target_
+            pct[indexs0] =  pct_
+        return i_target, pct
+        
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 4a884705..b633fc40 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -8,6 +8,7 @@
 
 import netCDF4
 import zarr
+from numba.typed import List
 from numba import njit
 from numpy import (
     arange,
@@ -110,6 +111,8 @@ class NetworkObservations(GroupEddiesObservations):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self._index_network = None
+        self._index_segment_track = None
+        self._segment_track_array = None
 
     def find_segments_relative(self, obs, stopped=None, order=1):
         """
@@ -161,16 +164,64 @@ def index_network(self):
             self._index_network = build_index(self.track)
         return self._index_network
 
-    def network_size(self, id_networks):
+    @property
+    def index_segment_track(self):
+        if self._index_segment_track is None:
+            self._index_segment_track = build_index(self.segment_track_array)
+        return self._index_segment_track
+
+    def segment_size(self):
+        return self.index_segment_track[1] - self.index_segment_track[0]
+
+    @property
+    def ref_segment_track_index(self):
+        return self.index_segment_track[2]
+
+    @property
+    def ref_index(self):
+        return self.index_network[2]
+
+    def network_segment_size(self, id_networks=None):
+        """Get number of segment by network
+
+        :return array:
+        """
+        i0, i1, ref = build_index(self.track[self.index_segment_track[0]])
+        if id_networks is None:
+            return i1-i0
+        else:
+            i = id_networks - ref
+            return i1[i] - i0[i]
+
+    def network_size(self, id_networks=None):
         """
         Return size for specified network
 
-        :param list,array id_networks: ids to identify network
+        :param list,array, None id_networks: ids to identify network
         """
-        i = id_networks - self.index_network[2]
-        i_start, i_stop = self.index_network[0][i], self.index_network[1][i]
-        return i_stop - i_start
+        if id_networks is None:
+            return self.index_network[1] - self.index_network[0]
+        else:
+            i = id_networks - self.index_network[2]
+            return self.index_network[1][i] - self.index_network[0][i]
     
+    def unique_segment_to_id(self, id_unique):
+        """Return id network and id segment for a unique id
+
+        :param array id_unique:
+        """
+        i = self.index_segment_track[0][id_unique] - self.ref_segment_track_index
+        return self.track[i], self.segment[i]
+
+    def segment_slice(self, id_network, id_segment):
+        """
+        Return slice for one segment
+
+        :param int id_network: id to identify network
+        :param int id_segment: id to identify segment
+        """
+        raise Exception('need to be implemented')
+
     def network_slice(self, id_network):
         """
         Return slice for one network
@@ -487,6 +538,7 @@ def segment_relative_order(self, seg_origine):
         """
         Compute the relative order of each segment to the chosen segment
         """
+        self.only_one_network()
         i_s, i_e, i_ref = build_index(self.segment)
         segment_connexions = self.connexions()
         relative_tr = -ones(i_s.shape, dtype="i4")
@@ -634,7 +686,7 @@ def only_one_network(self):
         if there are more than one network
         """
         _, i_start, _ = self.index_network
-        if len(i_start) > 1:
+        if i_start.size > 1:
             raise Exception("Several networks")
 
     def position_filter(self, median_half_window, loess_half_window):
@@ -832,7 +884,7 @@ def map_segment(self, method, y, same=True, **kw):
             out = empty(y.shape, **kw)
         else:
             out = list()
-        for i, b0, b1 in self.iter_on(self.segment_track_array):
+        for i, _, _ in self.iter_on(self.segment_track_array):
             res = method(y[i])
             if same:
                 out[i] = res
@@ -1025,7 +1077,9 @@ def extract_event(self, indices):
     @property
     def segment_track_array(self):
         """Return a unique segment id when multiple networks are considered"""
-        return build_unique_array(self.segment, self.track)
+        if self._segment_track_array is None:
+            self._segment_track_array = build_unique_array(self.segment, self.track)
+        return self._segment_track_array
 
     def birth_event(self):
         """Extract birth events.
@@ -1081,7 +1135,7 @@ def merging_event(self, triplet=False, only_index=False):
 
         if triplet:
             if only_index:
-                return (idx_m1, idx_m0, idx_m0_stop)
+                return array(idx_m1), array(idx_m0), array(idx_m0_stop)
             else:
                 return (
                     self.extract_event(idx_m1),
@@ -1119,12 +1173,12 @@ def splitting_event(self, triplet=False, only_index=False):
 
         if triplet:
             if only_index:
-                return (idx_s0, idx_s1, idx_s1_start)
+                return array(idx_s0), array(idx_s1), array(idx_s1_start)
             else:
                 return (
-                    self.extract_event(list(idx_s0)),
-                    self.extract_event(list(idx_s1)),
-                    self.extract_event(list(idx_s1_start)),
+                    self.extract_event(idx_s0),
+                    self.extract_event(idx_s1),
+                    self.extract_event(idx_s1_start),
                 )
 
         else:
@@ -1159,14 +1213,108 @@ def dissociate_network(self):
         self.next_obs[:] = translate[n]
         self.previous_obs[:] = translate[p]
 
+    def network_segment(self, id_network, id_segment):
+        return self.extract_with_mask(self.segment_slice(id_network, id_segment))
+
     def network(self, id_network):
         return self.extract_with_mask(self.network_slice(id_network))
 
+    def networks_mask(self, id_networks, segment=False):
+        if segment:
+            return generate_mask_from_ids(id_networks, self.track.size, *self.index_segment_track)
+        else:
+            return generate_mask_from_ids(id_networks, self.track.size, *self.index_network)
+
     def networks(self, id_networks):
-        m = zeros(self.track.shape, dtype=bool)
-        for tr in id_networks:
-            m[self.network_slice(tr)] = True
-        return self.extract_with_mask(m)
+        return self.extract_with_mask(generate_mask_from_ids(id_networks, self.track.size, *self.index_network))
+
+    @property
+    def nb_network(self):
+        """
+        Count and return number of network
+        """
+        return (self.network_size() != 0).sum()
+    
+    @property
+    def nb_segment(self):
+        """
+        Count and return number of segment in all network
+        """
+        return self.index_segment_track[0].size
+
+    def identify_in(self, other, size_min=1, segment=False):
+        """
+        Return couple of segment or network which are equal
+
+        :param other: other atlas to compare
+        :param int size_min: number of observation in network/segment
+        :param bool segment: segment mode
+        """
+        if segment:
+            counts = self.segment_size(), other.segment_size()
+            i_self_ref, i_other_ref = self.ref_segment_track_index, other.ref_segment_track_index
+            var_id = 'segment'
+        else:
+            counts = self.network_size(), other.network_size()
+            i_self_ref, i_other_ref = self.ref_index, other.ref_index
+            var_id = 'track'
+        # object to contain index of couple
+        in_self, in_other = list(), list() 
+        # We iterate on item of same size       
+        for i_self, i_other, i0, _ in self.align_on(other, counts, all_ref=True):
+            if i0 < size_min:
+                continue
+            if isinstance(i_other, slice):
+                i_other = arange(i_other.start, i_other.stop)
+            # All_ref will give all item of self, sometime there is no things to compare with other
+            if i_other.size == 0:
+                id_self = i_self + i_self_ref
+                in_self.append(id_self)
+                in_other.append(-ones(id_self.shape, dtype=id_self.dtype))
+                continue
+            if isinstance(i_self, slice):
+                i_self = arange(i_self.start, i_self.stop)
+            # We get absolute id
+            id_self, id_other = i_self + i_self_ref, i_other + i_other_ref
+            # We compute mask to select data
+            m_self, m_other = self.networks_mask(id_self, segment), other.networks_mask(id_other, segment)
+
+            # We extract obs
+            obs_self, obs_other = self.obs[m_self], other.obs[m_other]
+            x1, y1, t1 = obs_self['lon'], obs_self['lat'], obs_self['time']
+            x2, y2, t2 = obs_other['lon'], obs_other['lat'], obs_other['time']
+
+            if segment:
+                ids1 = build_unique_array(obs_self['segment'], obs_self['track'])
+                ids2 = build_unique_array(obs_other['segment'], obs_other['track'])
+                label1 = self.segment_track_array[m_self]
+                label2 = other.segment_track_array[m_other]
+            else:
+                label1, label2 = ids1, ids2 = obs_self[var_id], obs_other[var_id]
+            # For each item we get index to sort
+            i01, indexs1, id1 = list(), List(), list()
+            for sl_self, id_, _ in self.iter_on(ids1):
+                i01.append(sl_self.start)
+                indexs1.append(obs_self[sl_self].argsort(order=['time', 'lon', 'lat']))
+                id1.append(label1[sl_self.start])
+            i02, indexs2, id2 = list(), List(), list()
+            for sl_other, _, _ in other.iter_on(ids2):
+                i02.append(sl_other.start)
+                indexs2.append(obs_other[sl_other].argsort(order=['time', 'lon', 'lat']))
+                id2.append(label2[sl_other.start])
+
+            id1, id2 = array(id1), array(id2)
+            # We search item from self in item of others
+            i_local_target = same_position(x1, y1, t1, x2, y2, t2, array(i01), array(i02), indexs1, indexs2)
+
+            # -1 => no item found in other dataset
+            m = i_local_target != -1
+            in_self.append(id1)
+            track2_ = -ones(id1.shape, dtype='i4')
+            track2_[m] = id2[i_local_target[m]]
+            in_other.append(track2_)
+
+        return concatenate(in_self), concatenate(in_other)
 
     @classmethod
     def __tag_segment(cls, seg, tag, groups, connexions):
@@ -1647,6 +1795,27 @@ def date2file(julian_day):
             )
         return itf_final, ptf_final
 
+    def mask_obs_close_event(self, merging=True, spliting=True, dt=3):
+        """Build a mask of close observation from event
+
+        :param n: Network
+        :param bool merging: select merging event, defaults to True
+        :param bool spliting: select splitting event, defaults to True
+        :param int dt: delta of time max , defaults to 3
+        :return array: mask
+        """
+        m = zeros(len(self), dtype='bool')
+        if merging:
+            i_target, ip1, ip2 = self.merging_event(triplet=True, only_index=True)
+            mask_follow_obs(m, self.previous_obs, self.time, ip1, dt)
+            mask_follow_obs(m, self.previous_obs, self.time, ip2, dt)
+            mask_follow_obs(m, self.next_obs, self.time, i_target, dt)
+        if spliting:
+            i_target, in1, in2 = self.splitting_event(triplet=True, only_index=True)
+            mask_follow_obs(m, self.next_obs, self.time, in1, dt)
+            mask_follow_obs(m, self.next_obs, self.time, in2, dt)
+            mask_follow_obs(m, self.previous_obs, self.time, i_target, dt)
+        return m
 
 class Network:
     __slots__ = (
@@ -1864,3 +2033,77 @@ def new_numbering(segs, start=0):
 @njit(cache=True)
 def ptp(values):
     return values.max() - values.min()
+
+@njit(cache=True)
+def generate_mask_from_ids(id_networks, nb, istart, iend, i0):
+    """From list of id, we generate a mask
+
+    :param array id_networks: list of ids
+    :param int nb: size of mask
+    :param array istart: first index for each id from :py:meth:`~py_eddy_tracker.generic.build_index`
+    :param array iend: last index for each id from :py:meth:`~py_eddy_tracker.generic.build_index`
+    :param int i0: ref index from :py:meth:`~py_eddy_tracker.generic.build_index`
+    :return array: return a mask
+    """
+    m = zeros(nb, dtype='bool')
+    for i in id_networks:
+        for j in range(istart[i-i0], iend[i-i0]):
+            m[j] = True
+    return m
+
+@njit(cache=True)
+def same_position(x0, y0, t0, x1, y1, t1, i00, i01, i0, i1):
+    """Return index of track/segment found in other dataset
+
+    :param array x0: 
+    :param array y0: 
+    :param array t0: 
+    :param array x1: 
+    :param array y1: 
+    :param array t1: 
+    :param array i00: First index of track/segment/network in dataset0
+    :param array i01: First index of track/segment/network in dataset1
+    :param List(array) i0: list of array which contain index to order dataset0
+    :param List(array) i1: list of array which contain index to order dataset1
+    :return array: index of dataset1 which match with dataset0, -1 => no match
+    """
+    nb0, nb1 = i00.size, i01.size
+    i_target = -ones(nb0, dtype='i4')
+    # To avoid to compare multiple time, if already match
+    used1 = zeros(nb1, dtype='bool')
+    for j0 in range(nb0):
+        for j1 in range(nb1):
+            if used1[j1]:
+                continue
+            test = True
+            for i0_, i1_ in zip(i0[j0], i1[j1]):
+                i0_ += i00[j0]
+                i1_ += i01[j1]
+                if t0[i0_] != t1[i1_] or x0[i0_] != x1[i1_] or y0[i0_] != y1[i1_]:
+                    test = False
+                    break
+            if test:
+                i_target[j0] = j1
+                used1[j1] = True
+                break     
+    return i_target
+
+@njit(cache=True)
+def mask_follow_obs(m, next_obs, time, indexs, dt=3):
+    """Generate a mask to select close obs in time from index
+
+    :param array m: mask to fill with True
+    :param array next_obs: index of the next observation
+    :param array time: time of each obs
+    :param array indexs: index to start follow
+    :param int dt: delta of time max from index, defaults to 3
+    """
+    for i in indexs:
+        t0 = time[i]
+        m[i] = True
+        i_next = next_obs[i]
+        dt_ = abs(time[i_next] - t0)
+        while dt_ < dt and i_next != -1:
+            m[i_next] = True
+            i_next = next_obs[i_next]
+            dt_ = abs(time[i_next] - t0)
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 651aaa9a..384f537f 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -11,6 +11,7 @@
 import packaging.version
 import zarr
 from matplotlib.cm import get_cmap
+from matplotlib.collections import LineCollection
 from matplotlib.collections import PolyCollection
 from matplotlib.colors import Normalize
 from netCDF4 import Dataset
@@ -70,7 +71,7 @@
     poly_indexs,
     reduce_size,
     vertice_overlap,
-    winding_number_poly,
+    create_meshed_particles,
 )
 
 logger = logging.getLogger("pet")
@@ -576,12 +577,12 @@ def iter_on(self, xname, bins=None):
         Yield observation group for each bin.
 
         :param str,array xname:
-        :param array bins: bounds of each bin ,
-        :return: index or mask, bound low, bound up
+        :param array bins: bounds of each bin
+        :yield array,float,float: index in self, lower bound, upper bound
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.iter_on
         """
-        x = self[xname] if isinstance(xname, str) else xname
+        x = self.parse_varname(xname)
         d = x[1:] - x[:-1]
         if bins is None:
             bins = arange(x.min(), x.max() + 2)
@@ -617,14 +618,23 @@ def iter_on(self, xname, bins=None):
                 i_bins = i[i0_]
                 yield slice(i0_, i1_), bins[i_bins], bins[i_bins + 1]
 
-    def align_on(self, other, var_name="time", **kwargs):
+    def align_on(self, other, var_name="time", all_ref=False, **kwargs):
         """
-        Align the time indices of two datasets.
+        Align the variable indices of two datasets.
+
+        :param other: other compare with self
+        :param str,tuple var_name: variable name to align or two array, defaults to "time"
+        :param bool all_ref: yield all value of ref, if false only common value, defaults to False
+        :yield array,array,float,float: index in self, index in other, lower bound, upper bound
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.align_on
         """
-        iter_self = self.iter_on(var_name, **kwargs)
-        iter_other = other.iter_on(var_name, **kwargs)
+        if isinstance(var_name, str):
+            iter_self = self.iter_on(var_name, **kwargs)
+            iter_other = other.iter_on(var_name, **kwargs)
+        else:
+            iter_self = self.iter_on(var_name[0], **kwargs)
+            iter_other = other.iter_on(var_name[1], **kwargs)
         indexs_other, b0_other, b1_other = iter_other.__next__()
         for indexs_self, b0_self, b1_self in iter_self:
             if b0_self > b0_other:
@@ -634,6 +644,8 @@ def align_on(self, other, var_name="time", **kwargs):
                 except StopIteration:
                     break
             if b0_self < b0_other:
+                if all_ref:
+                    yield indexs_self, empty(0, dtype=indexs_self.dtype), b0_self, b1_self
                 continue
             yield indexs_self, indexs_other, b0_self, b1_self
 
@@ -1057,11 +1069,6 @@ def compare_units(input_unit, output_unit, name):
     @classmethod
     def from_array(cls, arrays, **kwargs):
         nb = arrays["time"].size
-        # if hasattr(handler, "track_array_variables"):
-        #     kwargs["track_array_variables"] = handler.track_array_variables
-        #     kwargs["array_variables"] = handler.array_variables.split(",")
-        # if len(handler.track_extra_variables) > 1:
-        #     kwargs["track_extra_variables"] = handler.track_extra_variables.split(",")
         eddies = cls(size=nb, **kwargs)
         for k, v in arrays.items():
             eddies.obs[k] = v
@@ -2036,6 +2043,26 @@ def format_label(self, label):
             nb_obs=len(self),
         )
 
+    def display_color(self, ax, field, intern=False, **kwargs):
+        """Plot colored contour of eddies
+
+        :param matplotlib.axes.Axes ax: matplotlib axe used to draw
+        :param str,array field: color field
+        :param bool intern: if True, draw the speed contour
+        :param dict kwargs: look at :py:meth:`matplotlib.collections.LineCollection`
+
+        .. minigallery:: py_eddy_tracker.EddiesObservations.display_color
+        """
+        xname, yname = self.intern(intern)
+        x, y = self[xname], self[yname]
+        c = self.parse_varname(field)
+        cmap = get_cmap(kwargs.pop('cmap', 'Spectral_r'))
+        cmin, cmax = kwargs.pop('vmin', c.min()), kwargs.pop('vmax', c.max())
+        colors = cmap((c - cmin) / (cmax - cmin))
+        lines = LineCollection([create_vertice(i,j) for i,j in zip(x,y)], colors=colors, **kwargs)
+        ax.add_collection(lines)
+        return lines
+
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):
         """Plot the speed and effective (dashed) contour of the eddies
 
@@ -2353,7 +2380,7 @@ def create_particles(self, step, intern=True):
         """
 
         xname, yname = self.intern(intern)
-        return _create_meshed_particles(self[xname], self[yname], step)
+        return create_meshed_particles(self[xname], self[yname], step)
 
 
 @njit(cache=True)
@@ -2518,24 +2545,6 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
             result[elt] = v_max
 
 
-@njit(cache=True)
-def _create_meshed_particles(lons, lats, step):
-    x_out, y_out, i_out = list(), list(), list()
-    for i, (lon, lat) in enumerate(zip(lons, lats)):
-        lon_min, lon_max = lon.min(), lon.max()
-        lat_min, lat_max = lat.min(), lat.max()
-        lon_min -= lon_min % step
-        lon_max -= lon_max % step - step * 2
-        lat_min -= lat_min % step
-        lat_max -= lat_max % step - step * 2
-
-        for x in arange(lon_min, lon_max, step):
-            for y in arange(lat_min, lat_max, step):
-                if winding_number_poly(x, y, create_vertice(*reduce_size(lon, lat))):
-                    x_out.append(x), y_out.append(y), i_out.append(i)
-    return array(x_out), array(y_out), array(i_out)
-
-
 class VirtualEddiesObservations(EddiesObservations):
     """Class to work with virtual obs"""
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index bb9ac79e..6baf5ad8 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -287,6 +287,27 @@ def close_center(x0, y0, x1, y1, delta=0.1):
     return array(i), array(j), array(c)
 
 
+@njit(cache=True)
+def create_meshed_particles(lons, lats, step):
+    x_out, y_out, i_out = list(), list(), list()
+    nb = lons.shape[0]
+    for i in range(nb):
+        lon, lat = lons[i], lats[i]
+        vertice = create_vertice(*reduce_size(lon, lat))
+        lon_min, lon_max = lon.min(), lon.max()
+        lat_min, lat_max = lat.min(), lat.max()
+        y0 = lat_min - lat_min % step
+        x = lon_min - lon_min % step
+        while x <= lon_max:
+            y = y0
+            while y <= lat_max:
+                if winding_number_poly(x, y, vertice):
+                    x_out.append(x), y_out.append(y), i_out.append(i)
+                y += step
+            x += step
+    return array(x_out), array(y_out), array(i_out)
+
+
 @njit(cache=True, fastmath=True)
 def bbox_intersection(x0, y0, x1, y1):
     """
@@ -503,7 +524,7 @@ def fit_circle(x, y):
 
     norme = (x[1:] - x_mean) ** 2 + (y[1:] - y_mean) ** 2
     norme_max = norme.max()
-    scale = norme_max ** 0.5
+    scale = norme_max**0.5
 
     # Form matrix equation and solve it
     # Maybe put f4
@@ -514,7 +535,7 @@ def fit_circle(x, y):
     (x0, y0, radius), _, _, _ = lstsq(datas, norme / norme_max)
 
     # Unscale data and get circle variables
-    radius += x0 ** 2 + y0 ** 2
+    radius += x0**2 + y0**2
     radius **= 0.5
     x0 *= scale
     y0 *= scale
@@ -546,21 +567,21 @@ def fit_ellipse(x, y):
     """
     nb = x.shape[0]
     datas = ones((nb, 5), dtype=x.dtype)
-    datas[:, 0] = x ** 2
+    datas[:, 0] = x**2
     datas[:, 1] = x * y
-    datas[:, 2] = y ** 2
+    datas[:, 2] = y**2
     datas[:, 3] = x
     datas[:, 4] = y
     (a, b, c, d, e), _, _, _ = lstsq(datas, ones(nb, dtype=x.dtype))
-    det = b ** 2 - 4 * a * c
+    det = b**2 - 4 * a * c
     if det > 0:
         print(det)
     x0 = (2 * c * d - b * e) / det
     y0 = (2 * a * e - b * d) / det
 
-    AB1 = 2 * (a * e ** 2 + c * d ** 2 - b * d * e - det)
+    AB1 = 2 * (a * e**2 + c * d**2 - b * d * e - det)
     AB2 = a + c
-    AB3 = ((a - c) ** 2 + b ** 2) ** 0.5
+    AB3 = ((a - c) ** 2 + b**2) ** 0.5
     A = -((AB1 * (AB2 + AB3)) ** 0.5) / det
     B = -((AB1 * (AB2 - AB3)) ** 0.5) / det
     theta = arctan((c - a - AB3) / b)
@@ -621,7 +642,7 @@ def fit_circle_(x, y):
     # Linear regression
     (a, b, c), _, _, _ = lstsq(datas, x[1:] ** 2 + y[1:] ** 2)
     x0, y0 = a / 2.0, b / 2.0
-    radius = (c + x0 ** 2 + y0 ** 2) ** 0.5
+    radius = (c + x0**2 + y0**2) ** 0.5
     err = shape_error(x, y, x0, y0, radius)
     return x0, y0, radius, err
 
@@ -646,14 +667,14 @@ def shape_error(x, y, x0, y0, r):
     :rtype: float
     """
     # circle area
-    c_area = (r ** 2) * pi
+    c_area = (r**2) * pi
     p_area = poly_area(x, y)
     nb = x.shape[0]
     x, y = x.copy(), y.copy()
     # Find distance between circle center and polygon
     for i in range(nb):
         dx, dy = x[i] - x0, y[i] - y0
-        rd = r / (dx ** 2 + dy ** 2) ** 0.5
+        rd = r / (dx**2 + dy**2) ** 0.5
         if rd < 1:
             x[i] = x0 + dx * rd
             y[i] = y0 + dy * rd
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 759a40e1..0e6dd586 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -7,7 +7,15 @@
 
 G = RegularGridDataset(get_demo_path("mask_1_60.nc"), "lon", "lat")
 X = 0.025
-contour = Path(((-X, 0), (X, 0), (X, X), (-X, X), (-X, 0),))
+contour = Path(
+    (
+        (-X, 0),
+        (X, 0),
+        (X, X),
+        (-X, X),
+        (-X, 0),
+    )
+)
 
 
 # contour
@@ -91,7 +99,11 @@ def test_convolution():
     )
     g = RegularGridDataset.with_array(
         coordinates=("x", "y"),
-        datas=dict(z=z, x=arange(0, 6, 0.5), y=arange(0, 5, 0.5),),
+        datas=dict(
+            z=z,
+            x=arange(0, 6, 0.5),
+            y=arange(0, 5, 0.5),
+        ),
         centered=True,
     )
 
diff --git a/tests/test_poly.py b/tests/test_poly.py
index cca53635..a780f64d 100644
--- a/tests/test_poly.py
+++ b/tests/test_poly.py
@@ -22,7 +22,7 @@ def test_fit_circle():
     x0, y0, r, err = fit_circle(*V)
     assert x0 == approx(2.5, rel=1e-10)
     assert y0 == approx(-9.5, rel=1e-10)
-    assert r == approx(2 ** 0.5 / 2, rel=1e-10)
+    assert r == approx(2**0.5 / 2, rel=1e-10)
     assert err == approx((1 - 2 / pi) * 100, rel=1e-10)
 
 

From 1e6d4f4b28b81afd6bc159b496df7853f7b6f445 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 19 Sep 2022 10:15:47 +0200
Subject: [PATCH 395/441] update changelog

---
 CHANGELOG.rst | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 57fd7551..b8cad2f4 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -11,6 +11,8 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 Changed
 ^^^^^^^
 
+- Rewrite particle candidate to be easily parallelize
+
 Fixed
 ^^^^^
 
@@ -19,6 +21,10 @@ Fixed
 Added
 ^^^^^
 
+- Add method to colorize contour with a field
+- Add option to force align on to return all step for reference dataset
+- Add method and property to network to easily select segment and network
+- Add method to found same track/segment/network in dataset
 
 [3.6.0] - 2022-01-12
 --------------------

From 3acf1aba98666a432e48b8acb4a4f3896fd9f5ac Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 19 Sep 2022 10:15:47 +0200
Subject: [PATCH 396/441] isort/black

---
 check.sh                                      |  10 +-
 doc/grid_identification.rst                   |  43 +++----
 doc/grid_load_display.rst                     |  34 +++---
 doc/spectrum.rst                              |  61 ++++++----
 examples/01_general_things/pet_storage.py     |   2 +-
 .../pet_eddy_detection_ACC.py                 |  16 ++-
 .../pet_interp_grid_on_dataset.py             |   2 +-
 .../pet_statistics_on_identification.py       |   2 +-
 examples/06_grid_manipulation/pet_lavd.py     |   4 +-
 examples/07_cube_manipulation/pet_cube.py     |   3 +-
 examples/07_cube_manipulation/pet_fsle_med.py |   8 +-
 .../pet_display_field.py                      |   2 +-
 .../pet_display_track.py                      |   2 +-
 .../08_tracking_manipulation/pet_one_track.py |   2 +-
 .../pet_select_track_across_area.py           |   2 +-
 .../pet_track_anim_matplotlib_animation.py    |   2 +-
 .../pet_birth_and_death.py                    |   2 +-
 .../pet_center_count.py                       |   4 +-
 .../pet_geographic_stats.py                   |   2 +-
 .../10_tracking_diagnostics/pet_groups.py     |   2 +-
 examples/10_tracking_diagnostics/pet_histo.py |   2 +-
 .../10_tracking_diagnostics/pet_lifetime.py   |   2 +-
 .../10_tracking_diagnostics/pet_pixel_used.py |   2 +-
 .../pet_propagation.py                        |   2 +-
 .../12_external_data/pet_drifter_loopers.py   |   4 +-
 examples/14_generic_tools/pet_visvalingam.py  |   2 +-
 examples/16_network/pet_follow_particle.py    |   3 +-
 examples/16_network/pet_group_anim.py         |   3 +-
 examples/16_network/pet_ioannou_2017_case.py  |   6 +-
 .../16_network/pet_replay_segmentation.py     |   4 +-
 examples/16_network/pet_segmentation_anim.py  |   2 +-
 setup.cfg                                     |  15 ++-
 setup.py                                      |   3 +-
 share/fig.py                                  |   6 +-
 src/py_eddy_tracker/__init__.py               |   2 +-
 src/py_eddy_tracker/appli/eddies.py           |   5 +-
 src/py_eddy_tracker/appli/gui.py              |   2 +-
 src/py_eddy_tracker/appli/network.py          | 107 +++++++++++-------
 src/py_eddy_tracker/data/__init__.py          |   2 +-
 src/py_eddy_tracker/dataset/grid.py           |  17 +--
 src/py_eddy_tracker/eddy_feature.py           |   3 +-
 src/py_eddy_tracker/generic.py                |   3 +-
 src/py_eddy_tracker/gui.py                    |   4 +-
 src/py_eddy_tracker/misc.py                   |   4 +-
 src/py_eddy_tracker/observations/groups.py    |  40 ++++---
 src/py_eddy_tracker/observations/network.py   |  91 +++++++++------
 .../observations/observation.py               |  28 ++---
 src/py_eddy_tracker/observations/tracking.py  |   2 +-
 src/py_eddy_tracker/poly.py                   |   5 +-
 src/py_eddy_tracker/tracking.py               |   5 +-
 src/scripts/EddyTranslate                     |   2 +-
 tests/test_track.py                           |   2 +-
 52 files changed, 336 insertions(+), 249 deletions(-)

diff --git a/check.sh b/check.sh
index b158028a..a402bf52 100644
--- a/check.sh
+++ b/check.sh
@@ -1,7 +1,5 @@
-isort src tests examples
-black src tests examples
-blackdoc src tests examples
-flake8 tests examples src --count --select=E9,F63,F7,F82 --show-source --statistics
-# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-flake8 tests examples src --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+isort .
+black .
+blackdoc .
+flake8 .
 python -m pytest -vv --cov py_eddy_tracker --cov-report html
diff --git a/doc/grid_identification.rst b/doc/grid_identification.rst
index c645f80c..2cc3fb52 100644
--- a/doc/grid_identification.rst
+++ b/doc/grid_identification.rst
@@ -47,38 +47,42 @@ Activate verbose
 .. code-block:: python
 
     from py_eddy_tracker import start_logger
-    start_logger().setLevel('DEBUG') # Available options: ERROR, WARNING, INFO, DEBUG
+
+    start_logger().setLevel("DEBUG")  # Available options: ERROR, WARNING, INFO, DEBUG
 
 Run identification
 
 .. code-block:: python
 
     from datetime import datetime
+
     h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter('adt', 500, order=3)
+    h.bessel_high_filter("adt", 500, order=3)
     date = datetime(2019, 2, 23)
     a, c = h.eddy_identification(
-        'adt', 'ugos', 'vgos', # Variables used for identification
-        date, # Date of identification
-        0.002, # step between two isolines of detection (m)
-        pixel_limit=(5, 2000), # Min and max pixel count for valid contour
-        shape_error=55, # Error max (%) between ratio of circle fit and contour
-        )
+        "adt",
+        "ugos",
+        "vgos",  # Variables used for identification
+        date,  # Date of identification
+        0.002,  # step between two isolines of detection (m)
+        pixel_limit=(5, 2000),  # Min and max pixel count for valid contour
+        shape_error=55,  # Error max (%) between ratio of circle fit and contour
+    )
 
 Plot the resulting identification
 
 .. code-block:: python
 
-    fig = plt.figure(figsize=(15,7))
-    ax = fig.add_axes([.03,.03,.94,.94])
-    ax.set_title('Eddies detected -- Cyclonic(red) and Anticyclonic(blue)')
-    ax.set_ylim(-75,75)
-    ax.set_xlim(0,360)
-    ax.set_aspect('equal')
-    a.display(ax, color='b', linewidth=.5)
-    c.display(ax, color='r', linewidth=.5)
+    fig = plt.figure(figsize=(15, 7))
+    ax = fig.add_axes([0.03, 0.03, 0.94, 0.94])
+    ax.set_title("Eddies detected -- Cyclonic(red) and Anticyclonic(blue)")
+    ax.set_ylim(-75, 75)
+    ax.set_xlim(0, 360)
+    ax.set_aspect("equal")
+    a.display(ax, color="b", linewidth=0.5)
+    c.display(ax, color="r", linewidth=0.5)
     ax.grid()
-    fig.savefig('share/png/eddies.png')
+    fig.savefig("share/png/eddies.png")
 
 .. image:: ../share/png/eddies.png
 
@@ -87,7 +91,8 @@ Save identification data
 .. code-block:: python
 
     from netCDF import Dataset
-    with Dataset(date.strftime('share/Anticyclonic_%Y%m%d.nc'), 'w') as h:
+
+    with Dataset(date.strftime("share/Anticyclonic_%Y%m%d.nc"), "w") as h:
         a.to_netcdf(h)
-    with Dataset(date.strftime('share/Cyclonic_%Y%m%d.nc'), 'w') as h:
+    with Dataset(date.strftime("share/Cyclonic_%Y%m%d.nc"), "w") as h:
         c.to_netcdf(h)
diff --git a/doc/grid_load_display.rst b/doc/grid_load_display.rst
index 2e570274..2f0e3765 100644
--- a/doc/grid_load_display.rst
+++ b/doc/grid_load_display.rst
@@ -7,7 +7,12 @@ Loading grid
 .. code-block:: python
 
     from py_eddy_tracker.dataset.grid import RegularGridDataset
-    grid_name, lon_name, lat_name = 'share/nrt_global_allsat_phy_l4_20190223_20190226.nc', 'longitude', 'latitude'
+
+    grid_name, lon_name, lat_name = (
+        "share/nrt_global_allsat_phy_l4_20190223_20190226.nc",
+        "longitude",
+        "latitude",
+    )
     h = RegularGridDataset(grid_name, lon_name, lat_name)
 
 Plotting grid
@@ -15,14 +20,15 @@ Plotting grid
 .. code-block:: python
 
     from matplotlib import pyplot as plt
+
     fig = plt.figure(figsize=(14, 12))
-    ax = fig.add_axes([.02, .51, .9, .45])
-    ax.set_title('ADT (m)')
+    ax = fig.add_axes([0.02, 0.51, 0.9, 0.45])
+    ax.set_title("ADT (m)")
     ax.set_ylim(-75, 75)
-    ax.set_aspect('equal')
-    m = h.display(ax, name='adt', vmin=-1, vmax=1)
+    ax.set_aspect("equal")
+    m = h.display(ax, name="adt", vmin=-1, vmax=1)
     ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([.94, .51, .01, .45]))
+    plt.colorbar(m, cax=fig.add_axes([0.94, 0.51, 0.01, 0.45]))
 
 
 Filtering
@@ -30,27 +36,27 @@ Filtering
 .. code-block:: python
 
     h = RegularGridDataset(grid_name, lon_name, lat_name)
-    h.bessel_high_filter('adt', 500, order=3)
+    h.bessel_high_filter("adt", 500, order=3)
 
 
 Save grid
 
 .. code-block:: python
 
-    h.write('/tmp/grid.nc')
+    h.write("/tmp/grid.nc")
 
 
 Add second plot
 
 .. code-block:: python
 
-    ax = fig.add_axes([.02, .02, .9, .45])
-    ax.set_title('ADT Filtered (m)')
-    ax.set_aspect('equal')
+    ax = fig.add_axes([0.02, 0.02, 0.9, 0.45])
+    ax.set_title("ADT Filtered (m)")
+    ax.set_aspect("equal")
     ax.set_ylim(-75, 75)
-    m = h.display(ax, name='adt', vmin=-.1, vmax=.1)
+    m = h.display(ax, name="adt", vmin=-0.1, vmax=0.1)
     ax.grid(True)
-    plt.colorbar(m, cax=fig.add_axes([.94, .02, .01, .45]))
-    fig.savefig('share/png/filter.png')
+    plt.colorbar(m, cax=fig.add_axes([0.94, 0.02, 0.01, 0.45]))
+    fig.savefig("share/png/filter.png")
 
 .. image:: ../share/png/filter.png
\ No newline at end of file
diff --git a/doc/spectrum.rst b/doc/spectrum.rst
index d751b909..5a42cbec 100644
--- a/doc/spectrum.rst
+++ b/doc/spectrum.rst
@@ -11,7 +11,7 @@ Load data
 
     raw = RegularGridDataset(grid_name, lon_name, lat_name)
     filtered = RegularGridDataset(grid_name, lon_name, lat_name)
-    filtered.bessel_low_filter('adt', 150, order=3)
+    filtered.bessel_low_filter("adt", 150, order=3)
 
     areas = dict(
         sud_pacific=dict(llcrnrlon=188, urcrnrlon=280, llcrnrlat=-64, urcrnrlat=-7),
@@ -23,24 +23,34 @@ Compute and display spectrum
 
 .. code-block:: python
 
-    fig = plt.figure(figsize=(10,6))
+    fig = plt.figure(figsize=(10, 6))
     ax = fig.add_subplot(111)
-    ax.set_title('Spectrum')
-    ax.set_xlabel('km')
+    ax.set_title("Spectrum")
+    ax.set_xlabel("km")
     for name_area, area in areas.items():
 
-        lon_spec, lat_spec = raw.spectrum_lonlat('adt', area=area)
-        mappable = ax.loglog(*lat_spec, label='lat %s raw' % name_area)[0]
-        ax.loglog(*lon_spec, label='lon %s raw' % name_area, color=mappable.get_color(), linestyle='--')
-
-        lon_spec, lat_spec = filtered.spectrum_lonlat('adt', area=area)
-        mappable = ax.loglog(*lat_spec, label='lat %s high' % name_area)[0]
-        ax.loglog(*lon_spec, label='lon %s high' % name_area, color=mappable.get_color(), linestyle='--')
-
-    ax.set_xscale('log')
+        lon_spec, lat_spec = raw.spectrum_lonlat("adt", area=area)
+        mappable = ax.loglog(*lat_spec, label="lat %s raw" % name_area)[0]
+        ax.loglog(
+            *lon_spec,
+            label="lon %s raw" % name_area,
+            color=mappable.get_color(),
+            linestyle="--"
+        )
+
+        lon_spec, lat_spec = filtered.spectrum_lonlat("adt", area=area)
+        mappable = ax.loglog(*lat_spec, label="lat %s high" % name_area)[0]
+        ax.loglog(
+            *lon_spec,
+            label="lon %s high" % name_area,
+            color=mappable.get_color(),
+            linestyle="--"
+        )
+
+    ax.set_xscale("log")
     ax.legend()
     ax.grid()
-    fig.savefig('share/png/spectrum.png')
+    fig.savefig("share/png/spectrum.png")
 
 
 .. image:: ../share/png/spectrum.png
@@ -49,18 +59,23 @@ Compute and display spectrum ratio
 
 .. code-block:: python
 
-    fig = plt.figure(figsize=(10,6))
+    fig = plt.figure(figsize=(10, 6))
     ax = fig.add_subplot(111)
-    ax.set_title('Spectrum ratio')
-    ax.set_xlabel('km')
+    ax.set_title("Spectrum ratio")
+    ax.set_xlabel("km")
     for name_area, area in areas.items():
-        lon_spec, lat_spec = filtered.spectrum_lonlat('adt', area=area, ref=raw)
-        mappable = ax.plot(*lat_spec, label='lat %s high' % name_area)[0]
-        ax.plot(*lon_spec, label='lon %s high' % name_area, color=mappable.get_color(), linestyle='--')
-
-    ax.set_xscale('log')
+        lon_spec, lat_spec = filtered.spectrum_lonlat("adt", area=area, ref=raw)
+        mappable = ax.plot(*lat_spec, label="lat %s high" % name_area)[0]
+        ax.plot(
+            *lon_spec,
+            label="lon %s high" % name_area,
+            color=mappable.get_color(),
+            linestyle="--"
+        )
+
+    ax.set_xscale("log")
     ax.legend()
     ax.grid()
-    fig.savefig('share/png/spectrum_ratio.png')
+    fig.savefig("share/png/spectrum_ratio.png")
 
 .. image:: ../share/png/spectrum_ratio.png
diff --git a/examples/01_general_things/pet_storage.py b/examples/01_general_things/pet_storage.py
index ccd01f1c..918ebbee 100644
--- a/examples/01_general_things/pet_storage.py
+++ b/examples/01_general_things/pet_storage.py
@@ -15,9 +15,9 @@
   manage eddies associated in networks, the ```track``` and ```segment``` fields allow to separate observations
 """
 
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from numpy import arange, outer
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.observations.network import NetworkObservations
diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index e6c5e381..3d3d4ac1 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -9,8 +9,7 @@
 """
 from datetime import datetime
 
-from matplotlib import pyplot as plt
-from matplotlib import style
+from matplotlib import pyplot as plt, style
 
 from py_eddy_tracker import data
 from py_eddy_tracker.dataset.grid import RegularGridDataset
@@ -65,7 +64,8 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     y_name="latitude",
     # Manual area subset
     indexs=dict(
-        latitude=slice(100 - margin, 220 + margin), longitude=slice(0, 230 + margin),
+        latitude=slice(100 - margin, 220 + margin),
+        longitude=slice(0, 230 + margin),
     ),
 )
 g_raw = RegularGridDataset(**kw_data)
@@ -187,10 +187,16 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
     ax.set_ylabel("With filter")
 
     ax.plot(
-        a_[field][i_a] * factor, a[field][j_a] * factor, "r.", label="Anticyclonic",
+        a_[field][i_a] * factor,
+        a[field][j_a] * factor,
+        "r.",
+        label="Anticyclonic",
     )
     ax.plot(
-        c_[field][i_c] * factor, c[field][j_c] * factor, "b.", label="Cyclonic",
+        c_[field][i_c] * factor,
+        c[field][j_c] * factor,
+        "b.",
+        label="Cyclonic",
     )
     ax.set_aspect("equal"), ax.grid()
     ax.plot((0, 1000), (0, 1000), "g")
diff --git a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
index f9e5d4c3..fa27a3d1 100644
--- a/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
+++ b/examples/02_eddy_identification/pet_interp_grid_on_dataset.py
@@ -43,7 +43,7 @@ def update_axes(ax, mappable=None):
 # %%
 # Compute and store eke in cm²/s²
 aviso_map.add_grid(
-    "eke", (aviso_map.grid("u") ** 2 + aviso_map.grid("v") ** 2) * 0.5 * (100 ** 2)
+    "eke", (aviso_map.grid("u") ** 2 + aviso_map.grid("v") ** 2) * 0.5 * (100**2)
 )
 
 eke_kwargs = dict(vmin=1, vmax=1000, cmap="magma_r")
diff --git a/examples/02_eddy_identification/pet_statistics_on_identification.py b/examples/02_eddy_identification/pet_statistics_on_identification.py
index 0c72262f..dbd73c61 100644
--- a/examples/02_eddy_identification/pet_statistics_on_identification.py
+++ b/examples/02_eddy_identification/pet_statistics_on_identification.py
@@ -4,9 +4,9 @@
 
 Some statistics on raw identification without any tracking
 """
-import numpy as np
 from matplotlib import pyplot as plt
 from matplotlib.dates import date2num
+import numpy as np
 
 from py_eddy_tracker import start_logger
 from py_eddy_tracker.data import get_remote_demo_sample
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 89d64108..331ace8a 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -158,9 +158,7 @@ def update(i_frame):
 # %%
 # Format LAVD data
 lavd = RegularGridDataset.with_array(
-    coordinates=("lon", "lat"),
-    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),
-    centered=True,
+    coordinates=("lon", "lat"), datas=dict(lavd=lavd.T, lon=x_g, lat=y_g), centered=True
 )
 
 # %%
diff --git a/examples/07_cube_manipulation/pet_cube.py b/examples/07_cube_manipulation/pet_cube.py
index 7f30c4e1..cba6c85b 100644
--- a/examples/07_cube_manipulation/pet_cube.py
+++ b/examples/07_cube_manipulation/pet_cube.py
@@ -4,9 +4,10 @@
 
 Example which use CMEMS surface current with a Runge-Kutta 4 algorithm to advect particles.
 """
+from datetime import datetime, timedelta
+
 # sphinx_gallery_thumbnail_number = 2
 import re
-from datetime import datetime, timedelta
 
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index b128286a..ef777639 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -49,7 +49,7 @@ def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
     Check if distance between eastern or northern particle to center particle is bigger than `dist_max`
     """
     nb_p = x.shape[0] // 3
-    delta = dist_max ** 2
+    delta = dist_max**2
     for i in range(nb_p):
         i0 = i * 3
         i_n = i0 + 1
@@ -59,10 +59,10 @@ def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
             continue
         # Distance with north
         dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]
-        dn = dxn ** 2 + dyn ** 2
+        dn = dxn**2 + dyn**2
         # Distance with east
         dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]
-        de = dxe ** 2 + dye ** 2
+        de = dxe**2 + dye**2
 
         if dn >= delta or de >= delta:
             s1 = dn + de
@@ -71,7 +71,7 @@ def check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):
             s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (
                 (dxn - dye) ** 2 + (dxe + dyn) ** 2
             )
-            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))
+            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init**2) * (s1 + s2**0.5))
             theta[i] = arctan2(at1, at2 + s2) * 180 / pi
             # To know where value are set
             m_set[i] = False
diff --git a/examples/08_tracking_manipulation/pet_display_field.py b/examples/08_tracking_manipulation/pet_display_field.py
index 30ad75a6..b943a2ba 100644
--- a/examples/08_tracking_manipulation/pet_display_field.py
+++ b/examples/08_tracking_manipulation/pet_display_field.py
@@ -4,8 +4,8 @@
 
 """
 
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/08_tracking_manipulation/pet_display_track.py b/examples/08_tracking_manipulation/pet_display_track.py
index 13a8d3ad..b15d51d7 100644
--- a/examples/08_tracking_manipulation/pet_display_track.py
+++ b/examples/08_tracking_manipulation/pet_display_track.py
@@ -4,8 +4,8 @@
 
 """
 
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/08_tracking_manipulation/pet_one_track.py b/examples/08_tracking_manipulation/pet_one_track.py
index 9f930281..a2536c34 100644
--- a/examples/08_tracking_manipulation/pet_one_track.py
+++ b/examples/08_tracking_manipulation/pet_one_track.py
@@ -2,8 +2,8 @@
 One Track
 ===================
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/08_tracking_manipulation/pet_select_track_across_area.py b/examples/08_tracking_manipulation/pet_select_track_across_area.py
index b88f37e1..58184e1f 100644
--- a/examples/08_tracking_manipulation/pet_select_track_across_area.py
+++ b/examples/08_tracking_manipulation/pet_select_track_across_area.py
@@ -3,8 +3,8 @@
 ============================
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
index 81e57e59..b686fd67 100644
--- a/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
+++ b/examples/08_tracking_manipulation/pet_track_anim_matplotlib_animation.py
@@ -9,9 +9,9 @@
 """
 import re
 
-import py_eddy_tracker_sample
 from matplotlib.animation import FuncAnimation
 from numpy import arange
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.appli.gui import Anim
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
diff --git a/examples/10_tracking_diagnostics/pet_birth_and_death.py b/examples/10_tracking_diagnostics/pet_birth_and_death.py
index d917efbd..b67993a2 100644
--- a/examples/10_tracking_diagnostics/pet_birth_and_death.py
+++ b/examples/10_tracking_diagnostics/pet_birth_and_death.py
@@ -5,8 +5,8 @@
 Following figures are based on https://doi.org/10.1016/j.pocean.2011.01.002
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_center_count.py b/examples/10_tracking_diagnostics/pet_center_count.py
index 6d9fa417..77a4dcda 100644
--- a/examples/10_tracking_diagnostics/pet_center_count.py
+++ b/examples/10_tracking_diagnostics/pet_center_count.py
@@ -5,9 +5,9 @@
 Do Geo stat with center and compare with frequency method
 show: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_pixel_used.py`
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from matplotlib.colors import LogNorm
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
@@ -27,7 +27,7 @@
 step = 0.125
 bins = ((-10, 37, step), (30, 46, step))
 kwargs_pcolormesh = dict(
-    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (a.nb_days * step ** 2), name="count"
+    cmap="terrain_r", vmin=0, vmax=2, factor=1 / (a.nb_days * step**2), name="count"
 )
 
 
diff --git a/examples/10_tracking_diagnostics/pet_geographic_stats.py b/examples/10_tracking_diagnostics/pet_geographic_stats.py
index d2a7e90d..a2e3f6b5 100644
--- a/examples/10_tracking_diagnostics/pet_geographic_stats.py
+++ b/examples/10_tracking_diagnostics/pet_geographic_stats.py
@@ -4,8 +4,8 @@
 
 """
 
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_groups.py b/examples/10_tracking_diagnostics/pet_groups.py
index f6e800ae..deedcc3f 100644
--- a/examples/10_tracking_diagnostics/pet_groups.py
+++ b/examples/10_tracking_diagnostics/pet_groups.py
@@ -3,9 +3,9 @@
 ===================
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from numpy import arange, ones, percentile
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_histo.py b/examples/10_tracking_diagnostics/pet_histo.py
index b2eff842..abf97c38 100644
--- a/examples/10_tracking_diagnostics/pet_histo.py
+++ b/examples/10_tracking_diagnostics/pet_histo.py
@@ -3,9 +3,9 @@
 ===================
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from numpy import arange
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_lifetime.py b/examples/10_tracking_diagnostics/pet_lifetime.py
index 9f84e790..4e2500fd 100644
--- a/examples/10_tracking_diagnostics/pet_lifetime.py
+++ b/examples/10_tracking_diagnostics/pet_lifetime.py
@@ -3,9 +3,9 @@
 ===================
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from numpy import arange, ones
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_pixel_used.py b/examples/10_tracking_diagnostics/pet_pixel_used.py
index 3907ce19..75a826d6 100644
--- a/examples/10_tracking_diagnostics/pet_pixel_used.py
+++ b/examples/10_tracking_diagnostics/pet_pixel_used.py
@@ -5,9 +5,9 @@
 Do Geo stat with frequency and compare with center count
 method: :ref:`sphx_glr_python_module_10_tracking_diagnostics_pet_center_count.py`
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from matplotlib.colors import LogNorm
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
 
diff --git a/examples/10_tracking_diagnostics/pet_propagation.py b/examples/10_tracking_diagnostics/pet_propagation.py
index 6a65a212..e6bc6c1b 100644
--- a/examples/10_tracking_diagnostics/pet_propagation.py
+++ b/examples/10_tracking_diagnostics/pet_propagation.py
@@ -3,9 +3,9 @@
 =====================
 
 """
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from numpy import arange, ones
+import py_eddy_tracker_sample
 
 from py_eddy_tracker.generic import cumsum_by_track
 from py_eddy_tracker.observations.tracking import TrackEddiesObservations
diff --git a/examples/12_external_data/pet_drifter_loopers.py b/examples/12_external_data/pet_drifter_loopers.py
index 92707906..5266db7b 100644
--- a/examples/12_external_data/pet_drifter_loopers.py
+++ b/examples/12_external_data/pet_drifter_loopers.py
@@ -8,10 +8,10 @@
 
 import re
 
-import numpy as np
-import py_eddy_tracker_sample
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
+import numpy as np
+import py_eddy_tracker_sample
 
 from py_eddy_tracker import data
 from py_eddy_tracker.appli.gui import Anim
diff --git a/examples/14_generic_tools/pet_visvalingam.py b/examples/14_generic_tools/pet_visvalingam.py
index f7b29c10..736e8852 100644
--- a/examples/14_generic_tools/pet_visvalingam.py
+++ b/examples/14_generic_tools/pet_visvalingam.py
@@ -2,8 +2,8 @@
 Visvalingam algorithm
 =====================
 """
-import matplotlib.animation as animation
 from matplotlib import pyplot as plt
+import matplotlib.animation as animation
 from numba import njit
 from numpy import array, empty
 
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index dbe0753e..21592558 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -5,8 +5,7 @@
 """
 import re
 
-from matplotlib import colors
-from matplotlib import pyplot as plt
+from matplotlib import colors, pyplot as plt
 from matplotlib.animation import FuncAnimation
 from numpy import arange, meshgrid, ones, unique, zeros
 
diff --git a/examples/16_network/pet_group_anim.py b/examples/16_network/pet_group_anim.py
index 047f5820..f2d439ed 100644
--- a/examples/16_network/pet_group_anim.py
+++ b/examples/16_network/pet_group_anim.py
@@ -2,9 +2,10 @@
 Network group process
 =====================
 """
+from datetime import datetime
+
 # sphinx_gallery_thumbnail_number = 2
 import re
-from datetime import datetime
 
 from matplotlib import pyplot as plt
 from matplotlib.animation import FuncAnimation
diff --git a/examples/16_network/pet_ioannou_2017_case.py b/examples/16_network/pet_ioannou_2017_case.py
index b02b846a..56bec82e 100644
--- a/examples/16_network/pet_ioannou_2017_case.py
+++ b/examples/16_network/pet_ioannou_2017_case.py
@@ -6,12 +6,12 @@
 We want to find the Ierapetra Eddy described above in a network demonstration run.
 """
 
+from datetime import datetime, timedelta
+
 # %%
 import re
-from datetime import datetime, timedelta
 
-from matplotlib import colors
-from matplotlib import pyplot as plt
+from matplotlib import colors, pyplot as plt
 from matplotlib.animation import FuncAnimation
 from matplotlib.ticker import FuncFormatter
 from numpy import arange, array, pi, where
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index d6b4568b..ecb0970d 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -147,9 +147,9 @@ def get_obs(dataset):
 
 ax = timeline_axes()
 n_.median_filter(15, "time", "latitude")
-kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30 ** 2 * 20
+kw["s"] = (n_.radius_e * 1e-3) ** 2 / 30**2 * 20
 m = n_.scatter_timeline(
-    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lon", method="all",
+    ax, "shape_error_e", vmin=14, vmax=70, **kw, yfield="lon", method="all"
 )
 ax.set_ylabel("Longitude")
 cb = update_axes(ax, m["scatter"])
diff --git a/examples/16_network/pet_segmentation_anim.py b/examples/16_network/pet_segmentation_anim.py
index 58f71188..1fcb9ae1 100644
--- a/examples/16_network/pet_segmentation_anim.py
+++ b/examples/16_network/pet_segmentation_anim.py
@@ -96,7 +96,7 @@ def update(i_frame):
 
     indices_frames = INDICES[i_frame]
     mappable_CONTOUR.set_data(
-        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames],
+        e.contour_lon_e[indices_frames], e.contour_lat_e[indices_frames]
     )
     mappable_CONTOUR.set_color(cmap.colors[tr[indices_frames] % len(cmap.colors)])
     return (mappable_tracks,)
diff --git a/setup.cfg b/setup.cfg
index 66f3f495..eb88b6f9 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,8 +1,16 @@
+
+[yapf]
+column_limit = 100
+
 [flake8]
 max-line-length = 140
 ignore =
     E203, # whitespace before ':'
-    W503,  # line break before binary operator
+    W503, # line break before binary operator
+exclude=
+    build
+    doc
+    versioneer.py
 
 [isort]
 combine_as_imports=True
@@ -14,7 +22,7 @@ line_length=140
 multi_line_output=3
 skip=
     build
-    docs/source/conf.py
+    doc/conf.py
 
 
 [versioneer]
@@ -27,4 +35,5 @@ parentdir_prefix =
 
 [tool:pytest]
 filterwarnings=
-	ignore:tostring.*is deprecated
\ No newline at end of file
+	ignore:tostring.*is deprecated
+
diff --git a/setup.py b/setup.py
index e0767c10..6b18bcbb 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
+from setuptools import find_packages, setup
+
 import versioneer
-from setuptools import setup, find_packages
 
 with open("README.md", "r") as fh:
     long_description = fh.read()
diff --git a/share/fig.py b/share/fig.py
index 8640abcb..80c7f12b 100644
--- a/share/fig.py
+++ b/share/fig.py
@@ -1,8 +1,10 @@
-from matplotlib import pyplot as plt
-from py_eddy_tracker.dataset.grid import RegularGridDataset
 from datetime import datetime
 import logging
 
+from matplotlib import pyplot as plt
+
+from py_eddy_tracker.dataset.grid import RegularGridDataset
+
 grid_name, lon_name, lat_name = (
     "nrt_global_allsat_phy_l4_20190223_20190226.nc",
     "longitude",
diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index f3ecec84..0a98892d 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -20,9 +20,9 @@
 
 """
 
-import logging
 from argparse import ArgumentParser
 from datetime import datetime
+import logging
 
 import zarr
 
diff --git a/src/py_eddy_tracker/appli/eddies.py b/src/py_eddy_tracker/appli/eddies.py
index df4e7d43..c1c7a90d 100644
--- a/src/py_eddy_tracker/appli/eddies.py
+++ b/src/py_eddy_tracker/appli/eddies.py
@@ -3,12 +3,11 @@
 Applications on detection and tracking files
 """
 import argparse
-import logging
 from datetime import datetime
 from glob import glob
+import logging
 from os import mkdir
-from os.path import basename, dirname, exists
-from os.path import join as join_path
+from os.path import basename, dirname, exists, join as join_path
 from re import compile as re_compile
 
 from netCDF4 import Dataset
diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 427db24b..4a8cdeb0 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -3,9 +3,9 @@
 Entry point of graphic user interface
 """
 
-import logging
 from datetime import datetime, timedelta
 from itertools import chain
+import logging
 
 from matplotlib import pyplot
 from matplotlib.animation import FuncAnimation
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index bfe226cc..03c5eb35 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -5,10 +5,11 @@
 
 import logging
 
+from numpy import in1d, zeros
+
 from .. import EddyParser
 from ..observations.network import Network, NetworkObservations
 from ..observations.tracking import TrackEddiesObservations
-from numpy import in1d, zeros
 
 logger = logging.getLogger("pet")
 
@@ -110,7 +111,9 @@ def subset_network():
         help="Remove short dead end, first is for minimal obs number and second for minimal segment time to keep",
     )
     parser.add_argument(
-        "--remove_trash", action="store_true", help="Remove trash (network id == 0)",
+        "--remove_trash",
+        action="store_true",
+        help="Remove trash (network id == 0)",
     )
     parser.add_argument(
         "-p",
@@ -138,7 +141,6 @@ def quick_compare():
         - S : segment
         - Obs : observations
         """
-        
     )
     parser.add_argument("ref", help="Identification file of reference")
     parser.add_argument("others", nargs="+", help="Identifications files to compare")
@@ -148,7 +150,15 @@ def quick_compare():
     args = parser.parse_args()
 
     kw = dict(
-        include_vars=['longitude', 'latitude', 'time', 'track', 'segment', 'next_obs', 'previous_obs']
+        include_vars=[
+            "longitude",
+            "latitude",
+            "time",
+            "track",
+            "segment",
+            "next_obs",
+            "previous_obs",
+        ]
     )
 
     if args.path_out is not None:
@@ -159,24 +169,26 @@ def quick_compare():
         f"[ref] {args.ref} -> {ref.nb_network} network / {ref.nb_segment} segment / {len(ref)} obs "
         f"-> {ref.network_size(0)} trash obs, "
         f"{len(ref.merging_event())} merging, {len(ref.splitting_event())} spliting"
-        )
-    others = {other: NetworkObservations.load_file(other, **kw) for other in args.others}
-
-    if args.path_out is not None:
-        groups_ref, groups_other = run_compare(ref, others, **kwargs)
-        if not exists(args.path_out):
-            mkdir(args.path_out)
-        for i, other_ in enumerate(args.others):
-            dirname_ = f"{args.path_out}/{other_.replace('/', '_')}/"
-            if not exists(dirname_):
-                mkdir(dirname_)
-            for k, v in groups_other[other_].items():
-                basename_ = f"other_{k}.nc"
-                others[other_].index(v).write_file(filename=f"{dirname_}/{basename_}")
-            for k, v in groups_ref[other_].items():
-                basename_ = f"ref_{k}.nc"
-                ref.index(v).write_file(filename=f"{dirname_}/{basename_}")
-        return
+    )
+    others = {
+        other: NetworkObservations.load_file(other, **kw) for other in args.others
+    }
+
+    # if args.path_out is not None:
+    #     groups_ref, groups_other = run_compare(ref, others, **kwargs)
+    #     if not exists(args.path_out):
+    #         mkdir(args.path_out)
+    #     for i, other_ in enumerate(args.others):
+    #         dirname_ = f"{args.path_out}/{other_.replace('/', '_')}/"
+    #         if not exists(dirname_):
+    #             mkdir(dirname_)
+    #         for k, v in groups_other[other_].items():
+    #             basename_ = f"other_{k}.nc"
+    #             others[other_].index(v).write_file(filename=f"{dirname_}/{basename_}")
+    #         for k, v in groups_ref[other_].items():
+    #             basename_ = f"ref_{k}.nc"
+    #             ref.index(v).write_file(filename=f"{dirname_}/{basename_}")
+    #     return
     display_compare(ref, others)
 
 
@@ -188,33 +200,43 @@ def run_compare(ref, others):
             f"[{i}]   {k} -> {other.nb_network} network / {other.nb_segment} segment / {len(other)} obs "
             f"-> {other.network_size(0)} trash obs, "
             f"{len(other.merging_event())} merging, {len(other.splitting_event())} spliting"
-            )
+        )
         ref_id, other_id = ref.identify_in(other, size_min=2)
         m = other_id != -1
         ref_id, other_id = ref_id[m], other_id[m]
-        out['same N(N)'] = m.sum()
-        out['same N(Obs)'] = ref.network_size(ref_id).sum()
+        out["same N(N)"] = m.sum()
+        out["same N(Obs)"] = ref.network_size(ref_id).sum()
 
         # For network which have same obs
         ref_, other_ = ref.networks(ref_id), other.networks(other_id)
         ref_segu, other_segu = ref_.identify_in(other_, segment=True)
-        m = other_segu==-1
+        m = other_segu == -1
         ref_track_no_match, _ = ref_.unique_segment_to_id(ref_segu[m])
         ref_segu, other_segu = ref_segu[~m], other_segu[~m]
         m = ~in1d(ref_id, ref_track_no_match)
-        out['same NS(N)'] = m.sum()
-        out['same NS(Obs)'] = ref.network_size(ref_id[m]).sum()
+        out["same NS(N)"] = m.sum()
+        out["same NS(Obs)"] = ref.network_size(ref_id[m]).sum()
 
         # Check merge/split
         def follow_obs(d, i_follow):
             m = i_follow != -1
             i_follow = i_follow[m]
-            t, x, y = zeros(m.size, d.time.dtype), zeros(m.size, d.longitude.dtype), zeros(m.size, d.latitude.dtype)
-            t[m], x[m], y[m] = d.time[i_follow], d.longitude[i_follow], d.latitude[i_follow]
+            t, x, y = (
+                zeros(m.size, d.time.dtype),
+                zeros(m.size, d.longitude.dtype),
+                zeros(m.size, d.latitude.dtype),
+            )
+            t[m], x[m], y[m] = (
+                d.time[i_follow],
+                d.longitude[i_follow],
+                d.latitude[i_follow],
+            )
             return t, x, y
+
         def next_obs(d, i_seg):
             last_i = d.index_segment_track[1][i_seg] - 1
             return follow_obs(d, d.next_obs[last_i])
+
         def previous_obs(d, i_seg):
             first_i = d.index_segment_track[0][i_seg]
             return follow_obs(d, d.previous_obs[first_i])
@@ -222,25 +244,24 @@ def previous_obs(d, i_seg):
         tref, xref, yref = next_obs(ref_, ref_segu)
         tother, xother, yother = next_obs(other_, other_segu)
 
-        m = (tref == tother) & (xref == xother) & (yref == yother) 
+        m = (tref == tother) & (xref == xother) & (yref == yother)
         print(m.sum(), m.size, ref_segu.size, ref_track_no_match.size)
 
         tref, xref, yref = previous_obs(ref_, ref_segu)
         tother, xother, yother = previous_obs(other_, other_segu)
 
-        m = (tref == tother) & (xref == xother) & (yref == yother) 
+        m = (tref == tother) & (xref == xother) & (yref == yother)
         print(m.sum(), m.size, ref_segu.size, ref_track_no_match.size)
 
-
-
         ref_segu, other_segu = ref.identify_in(other, segment=True)
         m = other_segu != -1
-        out['same S(S)'] = m.sum()
-        out['same S(Obs)'] = ref.segment_size()[ref_segu[m]].sum()
+        out["same S(S)"] = m.sum()
+        out["same S(Obs)"] = ref.segment_size()[ref_segu[m]].sum()
 
         outs[k] = out
     return outs
 
+
 def display_compare(ref, others):
     def display(value, ref=None):
         if ref:
@@ -248,16 +269,16 @@ def display(value, ref=None):
         else:
             outs = value
         return "".join([f"{v:^18}" for v in outs])
-    
+
     datas = run_compare(ref, others)
     ref_ = {
-        'same N(N)' : ref.nb_network,
+        "same N(N)": ref.nb_network,
         "same N(Obs)": len(ref),
-        'same NS(N)' : ref.nb_network,
-        'same NS(Obs)' : len(ref),
-        'same S(S)' : ref.nb_segment,
-        'same S(Obs)' : len(ref),
-        }
+        "same NS(N)": ref.nb_network,
+        "same NS(Obs)": len(ref),
+        "same S(S)": ref.nb_segment,
+        "same S(Obs)": len(ref),
+    }
     print("     ", display(ref_.keys()))
     for i, (_, v) in enumerate(datas.items()):
         print(f"[{i:2}] ", display(v, ref=ref_))
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index 4702af8f..f14fee87 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -10,8 +10,8 @@
 """
 import io
 import lzma
-import tarfile
 from os import path
+import tarfile
 
 import requests
 
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 24b1e25b..1cf871a7 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2,14 +2,13 @@
 """
 Class to load and manipulate RegularGrid and UnRegularGrid
 """
-import logging
 from datetime import datetime
+import logging
 
 from cv2 import filter2D
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
-from numba import njit, prange
-from numba import types as numba_types
+from numba import njit, prange, types as numba_types
 from numpy import (
     arange,
     array,
@@ -28,9 +27,7 @@
     isnan,
     linspace,
     ma,
-)
-from numpy import mean as np_mean
-from numpy import (
+    mean as np_mean,
     meshgrid,
     nan,
     nanmean,
@@ -2299,14 +2296,18 @@ def from_netcdf_cube(cls, filename, x_name, y_name, t_name, heigth=None, **kwarg
         new = cls()
         with Dataset(filename) as h:
             for i, t in enumerate(h.variables[t_name][:]):
-                d = RegularGridDataset(filename, x_name, y_name, indexs={t_name: i}, **kwargs)
+                d = RegularGridDataset(
+                    filename, x_name, y_name, indexs={t_name: i}, **kwargs
+                )
                 if heigth is not None:
                     d.add_uv(heigth)
                 new.datasets.append((t, d))
         return new
 
     @classmethod
-    def from_netcdf_list(cls, filenames, t, x_name, y_name, indexs=None, heigth=None, **kwargs):
+    def from_netcdf_list(
+        cls, filenames, t, x_name, y_name, indexs=None, heigth=None, **kwargs
+    ):
         new = cls()
         for i, _t in enumerate(t):
             filename = filenames[i]
diff --git a/src/py_eddy_tracker/eddy_feature.py b/src/py_eddy_tracker/eddy_feature.py
index 0f13eb2a..8bc139ab 100644
--- a/src/py_eddy_tracker/eddy_feature.py
+++ b/src/py_eddy_tracker/eddy_feature.py
@@ -8,8 +8,7 @@
 from matplotlib.cm import get_cmap
 from matplotlib.colors import Normalize
 from matplotlib.figure import Figure
-from numba import njit
-from numba import types as numba_types
+from numba import njit, types as numba_types
 from numpy import (
     array,
     concatenate,
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index c2d7de8a..7dbbf3c3 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -3,8 +3,7 @@
 Tool method which use mostly numba
 """
 
-from numba import njit, prange
-from numba import types as numba_types
+from numba import njit, prange, types as numba_types
 from numpy import (
     absolute,
     arcsin,
diff --git a/src/py_eddy_tracker/gui.py b/src/py_eddy_tracker/gui.py
index 0f310467..a85e9c18 100644
--- a/src/py_eddy_tracker/gui.py
+++ b/src/py_eddy_tracker/gui.py
@@ -3,12 +3,12 @@
 GUI class
 """
 
-import logging
 from datetime import datetime, timedelta
+import logging
 
+from matplotlib.projections import register_projection
 import matplotlib.pyplot as plt
 import numpy as np
-from matplotlib.projections import register_projection
 
 from .generic import flatten_line_matrix, split_line
 
diff --git a/src/py_eddy_tracker/misc.py b/src/py_eddy_tracker/misc.py
index eb0dc5d1..647bfba3 100644
--- a/src/py_eddy_tracker/misc.py
+++ b/src/py_eddy_tracker/misc.py
@@ -1,6 +1,8 @@
 import re
+
 from matplotlib.animation import FuncAnimation
 
+
 class VideoAnimation(FuncAnimation):
     def _repr_html_(self, *args, **kwargs):
         """To get video in html and have a player"""
@@ -16,4 +18,4 @@ def save(self, *args, **kwargs):
             with open(args[0], "w") as _:
                 pass
             return
-        return super().save(*args, **kwargs)
\ No newline at end of file
+        return super().save(*args, **kwargs)
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 66574407..121ffa29 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -1,14 +1,12 @@
-import logging
 from abc import ABC, abstractmethod
+import logging
 
-from numba import njit
-from numba import types as nb_types
-from numpy import arange, int32, interp, median, where, zeros, full, isnan
-
-from .observation import EddiesObservations
+from numba import njit, types as nb_types
+from numpy import arange, full, int32, interp, isnan, median, where, zeros
 
 from ..generic import window_index
 from ..poly import create_meshed_particles, poly_indexs
+from .observation import EddiesObservations
 
 logger = logging.getLogger("pet")
 
@@ -69,7 +67,7 @@ def get_missing_indices(
     return indices
 
 
-def advect(x, y, c, t0, n_days, u_name='u', v_name='v'):
+def advect(x, y, c, t0, n_days, u_name="u", v_name="v"):
     """
     Advect particles from t0 to t0 + n_days, with data cube.
 
@@ -92,7 +90,9 @@ def advect(x, y, c, t0, n_days, u_name='u', v_name='v'):
     return t, x, y
 
 
-def particle_candidate_step(t_start, contours_start, contours_end, space_step, dt, c, **kwargs):
+def particle_candidate_step(
+    t_start, contours_start, contours_end, space_step, dt, c, **kwargs
+):
     """Select particles within eddies, advect them, return target observation and associated percentages.
     For one time step.
 
@@ -122,7 +122,7 @@ def particle_candidate_step(t_start, contours_start, contours_end, space_step, d
     i_target, pct_target = full(shape, -1, dtype="i4"), zeros(shape, dtype="f8")
     nb_end = contours_end[0].shape[0]
     get_targets(i_start, i_end, i_target, pct_target, nb_end)
-    return i_target, pct_target.astype('i1')
+    return i_target, pct_target.astype("i1")
 
 
 def particle_candidate(
@@ -217,6 +217,7 @@ def get_targets(i_start, i_end, i_target, pct, nb_end):
                 pct[i, 1] = pct_
                 i_target[i, 1] = j
 
+
 @njit(cache=True)
 def get_matrix(i_start, i_end, translate_start, translate_end, i_target, pct):
     """Compute target observation and associated percentages
@@ -346,7 +347,9 @@ def keep_tracks_by_date(self, date, nb_days):
 
         return self.extract_with_mask(mask)
 
-    def particle_candidate_atlas(self, cube, space_step, dt, start_intern=False, end_intern=False, **kwargs):
+    def particle_candidate_atlas(
+        self, cube, space_step, dt, start_intern=False, end_intern=False, **kwargs
+    ):
         """Select particles within eddies, advect them, return target observation and associated percentages
 
         :param `~py_eddy_tracker.dataset.grid.GridCollection` cube: GridCollection with speed for particles
@@ -359,7 +362,9 @@ def particle_candidate_atlas(self, cube, space_step, dt, start_intern=False, end
         """
         t_start, t_end = int(self.period[0]), int(self.period[1])
         # Pre-compute to get time index
-        i_sort, i_start, i_end = window_index(self.time, arange(t_start, t_end + 1), .5)
+        i_sort, i_start, i_end = window_index(
+            self.time, arange(t_start, t_end + 1), 0.5
+        )
         # Out shape
         shape = (len(self), 2)
         i_target, pct = full(shape, -1, dtype="i4"), zeros(shape, dtype="i1")
@@ -368,19 +373,20 @@ def particle_candidate_atlas(self, cube, space_step, dt, start_intern=False, end
         for t in times:
             # Get index for origin
             i = t - t_start
-            indexs0 = i_sort[i_start[i]:i_end[i]]
+            indexs0 = i_sort[i_start[i] : i_end[i]]
             # Get index for end
             i = t + dt - t_start
-            indexs1 = i_sort[i_start[i]:i_end[i]]
+            indexs1 = i_sort[i_start[i] : i_end[i]]
             # Get contour data
             contours0 = [self[label][indexs0] for label in self.intern(start_intern)]
             contours1 = [self[label][indexs1] for label in self.intern(end_intern)]
             # Get local result
-            i_target_, pct_ = particle_candidate_step(t, contours0, contours1, space_step, dt, cube, **kwargs)
+            i_target_, pct_ = particle_candidate_step(
+                t, contours0, contours1, space_step, dt, cube, **kwargs
+            )
             # Merge result
             m = i_target_ != -1
             i_target_[m] = indexs1[i_target_[m]]
-            i_target[indexs0] =  i_target_
-            pct[indexs0] =  pct_
+            i_target[indexs0] = i_target_
+            pct[indexs0] = pct_
         return i_target, pct
-        
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index b633fc40..661144e7 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -2,14 +2,13 @@
 """
 Class to create network of observations
 """
+from glob import glob
 import logging
 import time
-from glob import glob
 
 import netCDF4
-import zarr
-from numba.typed import List
 from numba import njit
+from numba.typed import List
 from numpy import (
     arange,
     array,
@@ -25,6 +24,7 @@
     where,
     zeros,
 )
+import zarr
 
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
@@ -188,7 +188,7 @@ def network_segment_size(self, id_networks=None):
         """
         i0, i1, ref = build_index(self.track[self.index_segment_track[0]])
         if id_networks is None:
-            return i1-i0
+            return i1 - i0
         else:
             i = id_networks - ref
             return i1[i] - i0[i]
@@ -204,7 +204,7 @@ def network_size(self, id_networks=None):
         else:
             i = id_networks - self.index_network[2]
             return self.index_network[1][i] - self.index_network[0][i]
-    
+
     def unique_segment_to_id(self, id_unique):
         """Return id network and id segment for a unique id
 
@@ -220,7 +220,7 @@ def segment_slice(self, id_network, id_segment):
         :param int id_network: id to identify network
         :param int id_segment: id to identify segment
         """
-        raise Exception('need to be implemented')
+        raise Exception("need to be implemented")
 
     def network_slice(self, id_network):
         """
@@ -1221,12 +1221,18 @@ def network(self, id_network):
 
     def networks_mask(self, id_networks, segment=False):
         if segment:
-            return generate_mask_from_ids(id_networks, self.track.size, *self.index_segment_track)
+            return generate_mask_from_ids(
+                id_networks, self.track.size, *self.index_segment_track
+            )
         else:
-            return generate_mask_from_ids(id_networks, self.track.size, *self.index_network)
+            return generate_mask_from_ids(
+                id_networks, self.track.size, *self.index_network
+            )
 
     def networks(self, id_networks):
-        return self.extract_with_mask(generate_mask_from_ids(id_networks, self.track.size, *self.index_network))
+        return self.extract_with_mask(
+            generate_mask_from_ids(id_networks, self.track.size, *self.index_network)
+        )
 
     @property
     def nb_network(self):
@@ -1234,7 +1240,7 @@ def nb_network(self):
         Count and return number of network
         """
         return (self.network_size() != 0).sum()
-    
+
     @property
     def nb_segment(self):
         """
@@ -1252,15 +1258,18 @@ def identify_in(self, other, size_min=1, segment=False):
         """
         if segment:
             counts = self.segment_size(), other.segment_size()
-            i_self_ref, i_other_ref = self.ref_segment_track_index, other.ref_segment_track_index
-            var_id = 'segment'
+            i_self_ref, i_other_ref = (
+                self.ref_segment_track_index,
+                other.ref_segment_track_index,
+            )
+            var_id = "segment"
         else:
             counts = self.network_size(), other.network_size()
             i_self_ref, i_other_ref = self.ref_index, other.ref_index
-            var_id = 'track'
+            var_id = "track"
         # object to contain index of couple
-        in_self, in_other = list(), list() 
-        # We iterate on item of same size       
+        in_self, in_other = list(), list()
+        # We iterate on item of same size
         for i_self, i_other, i0, _ in self.align_on(other, counts, all_ref=True):
             if i0 < size_min:
                 continue
@@ -1277,16 +1286,18 @@ def identify_in(self, other, size_min=1, segment=False):
             # We get absolute id
             id_self, id_other = i_self + i_self_ref, i_other + i_other_ref
             # We compute mask to select data
-            m_self, m_other = self.networks_mask(id_self, segment), other.networks_mask(id_other, segment)
+            m_self, m_other = self.networks_mask(id_self, segment), other.networks_mask(
+                id_other, segment
+            )
 
             # We extract obs
             obs_self, obs_other = self.obs[m_self], other.obs[m_other]
-            x1, y1, t1 = obs_self['lon'], obs_self['lat'], obs_self['time']
-            x2, y2, t2 = obs_other['lon'], obs_other['lat'], obs_other['time']
+            x1, y1, t1 = obs_self["lon"], obs_self["lat"], obs_self["time"]
+            x2, y2, t2 = obs_other["lon"], obs_other["lat"], obs_other["time"]
 
             if segment:
-                ids1 = build_unique_array(obs_self['segment'], obs_self['track'])
-                ids2 = build_unique_array(obs_other['segment'], obs_other['track'])
+                ids1 = build_unique_array(obs_self["segment"], obs_self["track"])
+                ids2 = build_unique_array(obs_other["segment"], obs_other["track"])
                 label1 = self.segment_track_array[m_self]
                 label2 = other.segment_track_array[m_other]
             else:
@@ -1295,22 +1306,26 @@ def identify_in(self, other, size_min=1, segment=False):
             i01, indexs1, id1 = list(), List(), list()
             for sl_self, id_, _ in self.iter_on(ids1):
                 i01.append(sl_self.start)
-                indexs1.append(obs_self[sl_self].argsort(order=['time', 'lon', 'lat']))
+                indexs1.append(obs_self[sl_self].argsort(order=["time", "lon", "lat"]))
                 id1.append(label1[sl_self.start])
             i02, indexs2, id2 = list(), List(), list()
             for sl_other, _, _ in other.iter_on(ids2):
                 i02.append(sl_other.start)
-                indexs2.append(obs_other[sl_other].argsort(order=['time', 'lon', 'lat']))
+                indexs2.append(
+                    obs_other[sl_other].argsort(order=["time", "lon", "lat"])
+                )
                 id2.append(label2[sl_other.start])
 
             id1, id2 = array(id1), array(id2)
             # We search item from self in item of others
-            i_local_target = same_position(x1, y1, t1, x2, y2, t2, array(i01), array(i02), indexs1, indexs2)
+            i_local_target = same_position(
+                x1, y1, t1, x2, y2, t2, array(i01), array(i02), indexs1, indexs2
+            )
 
             # -1 => no item found in other dataset
             m = i_local_target != -1
             in_self.append(id1)
-            track2_ = -ones(id1.shape, dtype='i4')
+            track2_ = -ones(id1.shape, dtype="i4")
             track2_[m] = id2[i_local_target[m]]
             in_other.append(track2_)
 
@@ -1804,7 +1819,7 @@ def mask_obs_close_event(self, merging=True, spliting=True, dt=3):
         :param int dt: delta of time max , defaults to 3
         :return array: mask
         """
-        m = zeros(len(self), dtype='bool')
+        m = zeros(len(self), dtype="bool")
         if merging:
             i_target, ip1, ip2 = self.merging_event(triplet=True, only_index=True)
             mask_follow_obs(m, self.previous_obs, self.time, ip1, dt)
@@ -1817,6 +1832,7 @@ def mask_obs_close_event(self, merging=True, spliting=True, dt=3):
             mask_follow_obs(m, self.previous_obs, self.time, i_target, dt)
         return m
 
+
 class Network:
     __slots__ = (
         "window",
@@ -2034,6 +2050,7 @@ def new_numbering(segs, start=0):
 def ptp(values):
     return values.max() - values.min()
 
+
 @njit(cache=True)
 def generate_mask_from_ids(id_networks, nb, istart, iend, i0):
     """From list of id, we generate a mask
@@ -2045,22 +2062,23 @@ def generate_mask_from_ids(id_networks, nb, istart, iend, i0):
     :param int i0: ref index from :py:meth:`~py_eddy_tracker.generic.build_index`
     :return array: return a mask
     """
-    m = zeros(nb, dtype='bool')
+    m = zeros(nb, dtype="bool")
     for i in id_networks:
-        for j in range(istart[i-i0], iend[i-i0]):
+        for j in range(istart[i - i0], iend[i - i0]):
             m[j] = True
     return m
 
+
 @njit(cache=True)
 def same_position(x0, y0, t0, x1, y1, t1, i00, i01, i0, i1):
     """Return index of track/segment found in other dataset
 
-    :param array x0: 
-    :param array y0: 
-    :param array t0: 
-    :param array x1: 
-    :param array y1: 
-    :param array t1: 
+    :param array x0:
+    :param array y0:
+    :param array t0:
+    :param array x1:
+    :param array y1:
+    :param array t1:
     :param array i00: First index of track/segment/network in dataset0
     :param array i01: First index of track/segment/network in dataset1
     :param List(array) i0: list of array which contain index to order dataset0
@@ -2068,9 +2086,9 @@ def same_position(x0, y0, t0, x1, y1, t1, i00, i01, i0, i1):
     :return array: index of dataset1 which match with dataset0, -1 => no match
     """
     nb0, nb1 = i00.size, i01.size
-    i_target = -ones(nb0, dtype='i4')
+    i_target = -ones(nb0, dtype="i4")
     # To avoid to compare multiple time, if already match
-    used1 = zeros(nb1, dtype='bool')
+    used1 = zeros(nb1, dtype="bool")
     for j0 in range(nb0):
         for j1 in range(nb1):
             if used1[j1]:
@@ -2085,9 +2103,10 @@ def same_position(x0, y0, t0, x1, y1, t1, i00, i01, i0, i1):
             if test:
                 i_target[j0] = j1
                 used1[j1] = True
-                break     
+                break
     return i_target
 
+
 @njit(cache=True)
 def mask_follow_obs(m, next_obs, time, indexs, dt=3):
     """Generate a mask to select close obs in time from index
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 384f537f..c2ff4fdb 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2,21 +2,18 @@
 """
 Base class to manage eddy observation
 """
-import logging
 from datetime import datetime
 from io import BufferedReader, BytesIO
+import logging
 from tarfile import ExFileObject
 from tokenize import TokenError
 
-import packaging.version
-import zarr
+from Polygon import Polygon
 from matplotlib.cm import get_cmap
-from matplotlib.collections import LineCollection
-from matplotlib.collections import PolyCollection
+from matplotlib.collections import LineCollection, PolyCollection
 from matplotlib.colors import Normalize
 from netCDF4 import Dataset
-from numba import njit
-from numba import types as numba_types
+from numba import njit, types as numba_types
 from numpy import (
     absolute,
     arange,
@@ -45,9 +42,10 @@
     where,
     zeros,
 )
+import packaging.version
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
-from Polygon import Polygon
+import zarr
 
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
 from ..generic import (
@@ -65,13 +63,13 @@
     bbox_intersection,
     close_center,
     convexs,
+    create_meshed_particles,
     create_vertice,
     get_pixel_in_regular,
     insidepoly,
     poly_indexs,
     reduce_size,
     vertice_overlap,
-    create_meshed_particles,
 )
 
 logger = logging.getLogger("pet")
@@ -645,7 +643,9 @@ def align_on(self, other, var_name="time", all_ref=False, **kwargs):
                     break
             if b0_self < b0_other:
                 if all_ref:
-                    yield indexs_self, empty(0, dtype=indexs_self.dtype), b0_self, b1_self
+                    yield indexs_self, empty(
+                        0, dtype=indexs_self.dtype
+                    ), b0_self, b1_self
                 continue
             yield indexs_self, indexs_other, b0_self, b1_self
 
@@ -2056,10 +2056,12 @@ def display_color(self, ax, field, intern=False, **kwargs):
         xname, yname = self.intern(intern)
         x, y = self[xname], self[yname]
         c = self.parse_varname(field)
-        cmap = get_cmap(kwargs.pop('cmap', 'Spectral_r'))
-        cmin, cmax = kwargs.pop('vmin', c.min()), kwargs.pop('vmax', c.max())
+        cmap = get_cmap(kwargs.pop("cmap", "Spectral_r"))
+        cmin, cmax = kwargs.pop("vmin", c.min()), kwargs.pop("vmax", c.max())
         colors = cmap((c - cmin) / (cmax - cmin))
-        lines = LineCollection([create_vertice(i,j) for i,j in zip(x,y)], colors=colors, **kwargs)
+        lines = LineCollection(
+            [create_vertice(i, j) for i, j in zip(x, y)], colors=colors, **kwargs
+        )
         ax.add_collection(lines)
         return lines
 
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 7680961c..993e30f9 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -2,8 +2,8 @@
 """
 Class to manage observations gathered in trajectories
 """
-import logging
 from datetime import datetime, timedelta
+import logging
 
 from numba import njit
 from numpy import (
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 6baf5ad8..6adb02c1 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -5,11 +5,10 @@
 
 import heapq
 
-from numba import njit, prange
-from numba import types as numba_types
+from Polygon import Polygon
+from numba import njit, prange, types as numba_types
 from numpy import arctan, array, concatenate, empty, nan, ones, pi, where, zeros
 from numpy.linalg import lstsq
-from Polygon import Polygon
 
 from .generic import build_index
 
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 7543a4d3..02068962 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -3,14 +3,13 @@
 Class to store link between observations
 """
 
+from datetime import datetime, timedelta
 import json
 import logging
 import platform
-from datetime import datetime, timedelta
 
 from netCDF4 import Dataset, default_fillvals
-from numba import njit
-from numba import types as numba_types
+from numba import njit, types as numba_types
 from numpy import (
     arange,
     array,
diff --git a/src/scripts/EddyTranslate b/src/scripts/EddyTranslate
index 26ab3a7b..a0060e9b 100644
--- a/src/scripts/EddyTranslate
+++ b/src/scripts/EddyTranslate
@@ -3,8 +3,8 @@
 """
 Translate eddy Dataset
 """
-import zarr
 from netCDF4 import Dataset
+import zarr
 
 from py_eddy_tracker import EddyParser
 from py_eddy_tracker.observations.observation import EddiesObservations
diff --git a/tests/test_track.py b/tests/test_track.py
index 4f362a26..f7e83786 100644
--- a/tests/test_track.py
+++ b/tests/test_track.py
@@ -1,5 +1,5 @@
-import zarr
 from netCDF4 import Dataset
+import zarr
 
 from py_eddy_tracker.data import get_demo_path
 from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker

From e31d0a73b56438df9c7fd990db91c1e930f392ca Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 26 Sep 2022 17:42:29 +0200
Subject: [PATCH 397/441] add  option to choose time step in particle candidate

---
 src/py_eddy_tracker/observations/groups.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 121ffa29..710557f7 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -91,7 +91,7 @@ def advect(x, y, c, t0, n_days, u_name="u", v_name="v"):
 
 
 def particle_candidate_step(
-    t_start, contours_start, contours_end, space_step, dt, c, **kwargs
+    t_start, contours_start, contours_end, space_step, dt, c, day_fraction=6, **kwargs
 ):
     """Select particles within eddies, advect them, return target observation and associated percentages.
     For one time step.
@@ -102,13 +102,17 @@ def particle_candidate_step(
     :param float space_step: step between 2 particles
     :param int dt: duration of advection
     :param `~py_eddy_tracker.dataset.grid.GridCollection` c: GridCollection with speed for particles
+    :param int day_fraction: fraction of day
     :params dict kwargs: dict of params given to advection
     :return (np.array,np.array): return target index and percent associate
     """
+    # In case of zarr array
+    contours_start = [i[:] for i in contours_start]
+    contours_end = [i[:] for i in contours_end]
     # Create particles in start contour
     x, y, i_start = create_meshed_particles(*contours_start, space_step)
     # Advect particles
-    kw = dict(nb_step=6, time_step=86400 / 6)
+    kw = dict(nb_step=day_fraction, time_step=86400 / day_fraction)
     p = c.advect(x, y, t_init=t_start, **kwargs, **kw)
     for _ in range(dt):
         _, x, y = p.__next__()

From abd4433c895ec2aa712c8b41e996785bfc41ffa1 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 27 Sep 2022 10:32:17 +0200
Subject: [PATCH 398/441] -lazy cube management -event statistics

---
 src/py_eddy_tracker/dataset/grid.py           | 59 +++++++++++----
 src/py_eddy_tracker/observations/groups.py    | 71 +++++++++++++++----
 src/py_eddy_tracker/observations/network.py   | 68 +++++++++++++++++-
 .../observations/observation.py               | 25 +++++++
 4 files changed, 194 insertions(+), 29 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 1cf871a7..c73f99d9 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -304,14 +304,26 @@ def __init__(
                 "We assume pixel position of grid is centered for %s", filename
             )
         if not unset:
-            self.load_general_features()
-            self.load()
+            self.populate()
 
     def populate(self):
         if self.dimensions is None:
             self.load_general_features()
             self.load()
 
+    def clean(self):
+        self.dimensions = None
+        self.variables_description = None
+        self.global_attrs = None
+        self.x_c = None
+        self.y_c = None
+        self.x_bounds = None
+        self.y_bounds = None
+        self.x_dim = None
+        self.y_dim = None
+        self.contours = None
+        self.vars = dict()
+
     @property
     def is_centered(self):
         """Give True if pixel is described with its center's position or
@@ -429,7 +441,7 @@ def c_to_bounds(c):
     def setup_coordinates(self):
         x_name, y_name = self.coordinates
         if self.is_centered:
-            logger.info("Grid center")
+            # logger.info("Grid center")
             self.x_c = self.vars[x_name].astype("float64")
             self.y_c = self.vars[y_name].astype("float64")
 
@@ -1968,14 +1980,21 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
             self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
         )
 
-    def uv_for_advection(self, u_name, v_name, time_step=600, backward=False, factor=1):
+    def uv_for_advection(self, u_name=None, v_name=None, time_step=600, h_name=None, backward=False, factor=1):
         """
         Get U,V to be used in degrees with precomputed time step
 
-        :param str,array u_name: U field to advect obs
-        :param str,array v_name: V field to advect obs
+        :param None,str,array u_name: U field to advect obs, if h_name is None
+        :param None,str,array v_name: V field to advect obs, if h_name is None
+        :param None,str,array h_name: H field to compute UV to advect obs, if u_name and v_name are None
         :param int time_step: Number of second for each advection
         """
+        if h_name is not None:
+            u_name, v_name = 'u', 'v'
+            if u_name not in self.vars:
+                self.add_uv(h_name)
+                self.vars.pop(h_name, None)
+
         u = (self.grid(u_name) if isinstance(u_name, str) else u_name).copy()
         v = (self.grid(v_name) if isinstance(v_name, str) else v_name).copy()
         # N seconds / 1 degrees in m
@@ -2318,6 +2337,14 @@ def from_netcdf_list(
             new.datasets.append((_t, d))
         return new
 
+    @property
+    def are_loaded(self):
+        return ~array([d.dimensions is None for _, d in self.datasets])
+
+    def __repr__(self):
+        nb_dataset = len(self.datasets)
+        return f"{self.are_loaded.sum()}/{nb_dataset} datasets loaded"
+
     def shift_files(self, t, filename, heigth=None, **rgd_kwargs):
         """Add next file to the list and remove the oldest"""
 
@@ -2440,17 +2467,23 @@ def filament(
             t += dt
             yield t, f_x, f_y
 
+    def reset_grids(self, N=None):
+        if N is not None:
+            m = self.are_loaded
+            if m.sum() > N:
+                for i in where(m)[0]:
+                    self.datasets[i][1].clean()
+
     def advect(
         self,
         x,
         y,
-        u_name,
-        v_name,
         t_init,
         mask_particule=None,
         nb_step=10,
         time_step=600,
         rk4=True,
+        reset_grid=None,
         **kw,
     ):
         """
@@ -2458,18 +2491,18 @@ def advect(
 
         :param array x: Longitude of obs to move
         :param array y: Latitude of obs to move
-        :param str,array u_name: U field to advect obs
-        :param str,array v_name: V field to advect obs
         :param float t_init: time to start advection
         :param array,None mask_particule: advect only i mask is True
         :param int nb_step: Number of iteration before to release data
         :param int time_step: Number of second for each advection
         :param bool rk4: Use rk4 algorithm instead of finite difference
+        :param int reset_grid: Delete all loaded data in cube if there are more than N grid loaded
 
         :return: t,x,y position
 
         .. minigallery:: py_eddy_tracker.GridCollection.advect
         """
+        self.reset_grids(reset_grid)
         backward = kw.get("backward", False)
         if backward:
             generator = self.get_previous_time_step(t_init)
@@ -2480,9 +2513,9 @@ def advect(
             dt = nb_step * time_step
             t_step = time_step
         t0, d0 = generator.__next__()
-        u0, v0, m0 = d0.uv_for_advection(u_name, v_name, time_step, **kw)
+        u0, v0, m0 = d0.uv_for_advection(time_step=time_step, **kw)
         t1, d1 = generator.__next__()
-        u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+        u1, v1, m1 = d1.uv_for_advection(time_step=time_step, **kw)
         t0 = t0 * 86400
         t1 = t1 * 86400
         t = t_init * 86400
@@ -2497,7 +2530,7 @@ def advect(
                 t0, u0, v0, m0 = t1, u1, v1, m1
                 t1, d1 = generator.__next__()
                 t1 = t1 * 86400
-                u1, v1, m1 = d1.uv_for_advection(u_name, v_name, time_step, **kw)
+                u1, v1, m1 = d1.uv_for_advection(time_step=time_step, **kw)
             w = 1 - (arange(t, t + dt, t_step) - t0) / (t1 - t0)
             half_w = t_step / 2.0 / (t1 - t0)
             advect_(
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 710557f7..ace889f7 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -114,7 +114,7 @@ def particle_candidate_step(
     # Advect particles
     kw = dict(nb_step=day_fraction, time_step=86400 / day_fraction)
     p = c.advect(x, y, t_init=t_start, **kwargs, **kw)
-    for _ in range(dt):
+    for _ in range(abs(dt)):
         _, x, y = p.__next__()
     m = ~(isnan(x) + isnan(y))
     i_end = full(x.shape, -1, dtype="i4")
@@ -352,7 +352,7 @@ def keep_tracks_by_date(self, date, nb_days):
         return self.extract_with_mask(mask)
 
     def particle_candidate_atlas(
-        self, cube, space_step, dt, start_intern=False, end_intern=False, **kwargs
+        self, cube, space_step, dt, start_intern=False, end_intern=False, callback_coherence=None, finalize_coherence=None, **kwargs
     ):
         """Select particles within eddies, advect them, return target observation and associated percentages
 
@@ -361,7 +361,9 @@ def particle_candidate_atlas(
         :param int dt: duration of advection
         :param bool start_intern: Use intern or extern contour at injection, defaults to False
         :param bool end_intern: Use intern or extern contour at end of advection, defaults to False
-        :params dict kwargs: dict of params given to advection
+        :param dict kwargs: dict of params given to advection
+        :param func callback_coherence: if None we will use cls.fill_coherence
+        :param func finalize_coherence: to apply on results of callback_coherence
         :return (np.array,np.array): return target index and percent associate
         """
         t_start, t_end = int(self.period[0]), int(self.period[1])
@@ -374,23 +376,62 @@ def particle_candidate_atlas(
         i_target, pct = full(shape, -1, dtype="i4"), zeros(shape, dtype="i1")
         # Backward or forward
         times = arange(t_start, t_end - dt) if dt > 0 else arange(t_start + dt, t_end)
+
+        if callback_coherence is None:
+            callback_coherence = self.fill_coherence
+        indexs = dict()
+        results = list()
+        kw_coherence = dict(space_step=space_step, dt=dt, c=cube)
+        kw_coherence.update(kwargs)
         for t in times:
+            logger.info("Coherence for time step : %s in [%s:%s]", t, times[0], times[-1])
             # Get index for origin
             i = t - t_start
             indexs0 = i_sort[i_start[i] : i_end[i]]
             # Get index for end
             i = t + dt - t_start
             indexs1 = i_sort[i_start[i] : i_end[i]]
-            # Get contour data
-            contours0 = [self[label][indexs0] for label in self.intern(start_intern)]
-            contours1 = [self[label][indexs1] for label in self.intern(end_intern)]
-            # Get local result
-            i_target_, pct_ = particle_candidate_step(
-                t, contours0, contours1, space_step, dt, cube, **kwargs
-            )
-            # Merge result
-            m = i_target_ != -1
-            i_target_[m] = indexs1[i_target_[m]]
-            i_target[indexs0] = i_target_
-            pct[indexs0] = pct_
+            if indexs0.size == 0 or indexs1.size == 0:
+                continue
+
+            results.append(callback_coherence(self, i_target, pct, indexs0, indexs1, start_intern, end_intern, t_start=t, **kw_coherence))
+            indexs[results[-1]] = indexs0, indexs1
+
+        if finalize_coherence is not None:
+            finalize_coherence(results, indexs, i_target, pct)
         return i_target, pct
+
+    @classmethod
+    def fill_coherence(cls, network, i_targets, percents, i_origin, i_end, start_intern, end_intern, **kwargs):
+        """_summary_
+
+        :param array i_targets: global target
+        :param array percents:
+        :param array i_origin: indices of origins
+        :param array i_end: indices of ends
+        :param bool start_intern: Use intern or extern contour at injection
+        :param bool end_intern: Use intern or extern contour at end of advection
+        """
+        # Get contour data
+        contours_start = [network[label][i_origin] for label in cls.intern(start_intern)]
+        contours_end = [network[label][i_end] for label in cls.intern(end_intern)]
+        # Compute local coherence
+        i_local_targets, local_percents = particle_candidate_step(contours_start=contours_start, contours_end=contours_end,**kwargs)
+        # Store
+        cls.merge_particle_result(i_targets, percents, i_local_targets, local_percents, i_origin, i_end)
+    
+    @staticmethod
+    def merge_particle_result(i_targets, percents, i_local_targets, local_percents, i_origin, i_end):
+        """Copy local result in merged result with global indexation
+
+        :param array i_targets: global target
+        :param array percents: 
+        :param array i_local_targets: local index target
+        :param array local_percents: 
+        :param array i_origin: indices of origins
+        :param array i_end: indices of ends
+        """
+        m = i_local_targets != -1
+        i_local_targets[m] = i_end[i_local_targets[m]]
+        i_targets[i_origin] = i_local_targets
+        percents[i_origin] = local_percents
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 661144e7..146a87cc 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -7,7 +7,7 @@
 import time
 
 import netCDF4
-from numba import njit
+from numba import njit, types as nb_types
 from numba.typed import List
 from numpy import (
     arange,
@@ -23,6 +23,8 @@
     unique,
     where,
     zeros,
+    percentile,
+    nan
 )
 import zarr
 
@@ -1743,6 +1745,7 @@ def segment_coherence_forward(
         step_mesh=1.0 / 50,
         contour_start="speed",
         contour_end="speed",
+        **kwargs,
     ):
 
         """
@@ -1801,6 +1804,7 @@ def date2file(julian_day):
                 n_days=n_days,
                 contour_start=contour_start,
                 contour_end=contour_end,
+                **kwargs
             )
             logger.info(
                 (
@@ -1996,7 +2000,69 @@ def build_dataset(self, group, raw_data=True):
             print()
         eddies.track[new_i] = group
         return eddies
+    
+@njit(cache=True)
+def get_percentile_on_following_obs(i, indexs, percents, follow_obs, t, segment, i_target, window, q=50, nb_min=1):
+    """Get stat on a part of segment close of an event
+
+    :param int i: index to follow
+    :param array indexs: indexs from coherence
+    :param array percents: percent from coherence
+    :param array[int] follow_obs: give index for the following observation
+    :param array t: time for each observation
+    :param array segment: segment for each observation
+    :param int i_target: index of target
+    :param int window: time window of search
+    :param int q: Percentile from 0 to 100, defaults to 50
+    :param int nb_min: Number minimal of observation to provide statistics, defaults to 1
+    :return float : return statistic
+    """
+    last_t, segment_follow = t[i], segment[i]
+    segment_target = segment[i_target]
+    percent_target = empty(window, dtype=percents.dtype)
+    j = 0
+    while abs(last_t - t[i]) < window and i != -1 and segment_follow == segment[i]:
+        # Iter on primary & secondary
+        for index, percent in zip(indexs[i], percents[i]):
+            if index != -1 and segment[index] == segment_target:
+                percent_target[j] = percent
+                j += 1
+        i = follow_obs[i]
+    if j < nb_min:
+        return nan
+    return percentile(percent_target[:j], q)
 
+@njit(cache=True)
+def get_percentile_around_event(i, i1, i2, ind, pct, follow_obs, t, segment, window=10, follow_parent=False, q=50, nb_min=1):
+    """Get stat around event
+
+    :param array[int] i: Indexs of target
+    :param array[int] i1: Indexs of primary origin
+    :param array[int] i2: Indexs of secondary origin
+    :param array ind: indexs from coherence
+    :param array pct: percent from coherence
+    :param array[int] follow_obs: give index for the following observation
+    :param array t: time for each observation
+    :param array segment: segment for each observation
+    :param int window: time window of search, defaults to 10
+    :param bool follow_parent: Follow parent instead of child, defaults to False
+    :param int q: Percentile from 0 to 100, defaults to 50
+    :param int nb_min: Number minimal of observation to provide statistics, defaults to 1
+    :return (array,array) : statistic for each event
+    """
+    stat1 = empty(i.size, dtype=nb_types.float32)
+    stat2 = empty(i.size, dtype=nb_types.float32)
+    # iter on event
+    for j, (i_, i1_, i2_) in enumerate(zip(i, i1, i2)):
+        if follow_parent:
+            # We follow parent
+            stat1[j] = get_percentile_on_following_obs(i_, ind, pct, follow_obs, t, segment, i1_, window, q, nb_min)
+            stat2[j] = get_percentile_on_following_obs(i_, ind, pct, follow_obs, t, segment, i2_, window, q, nb_min)
+        else:
+            # We follow child
+            stat1[j] = get_percentile_on_following_obs(i1_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min)
+            stat2[j] = get_percentile_on_following_obs(i2_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min)
+    return stat1, stat2
 
 @njit(cache=True)
 def get_next_index(gr):
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index c2ff4fdb..7b1e0e45 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -1656,6 +1656,31 @@ def create_variable(
         except ValueError:
             logger.warning("Data is empty")
 
+    @staticmethod
+    def get_filters_zarr(name):
+        """Get filters to store in zarr for known variable
+
+        :param str name: private variable name
+        :return list: filters list
+        """
+        content = VAR_DESCR.get(name)
+        filters = list()
+        store_dtype = content["output_type"]
+        scale_factor, add_offset = content.get("scale_factor", None), content.get("add_offset", None)
+        if scale_factor is not None or add_offset is not None:
+            if add_offset is None:
+                add_offset = 0
+            filters.append(
+                zarr.FixedScaleOffset(
+                    offset=add_offset,
+                    scale=1 / scale_factor,
+                    dtype=content["nc_type"],
+                    astype=store_dtype,
+                )
+            )
+        filters.extend(content.get("filters", []))
+        return filters
+
     def create_variable_zarr(
         self,
         handler_zarr,

From 38b223a4b2dc07411c30dea71b6704f609fa3643 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 27 Sep 2022 14:59:00 +0200
Subject: [PATCH 399/441] dissociate return table to transfer old indice in new

---
 src/py_eddy_tracker/observations/groups.py  | 2 +-
 src/py_eddy_tracker/observations/network.py | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index ace889f7..d363a5dd 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -375,7 +375,7 @@ def particle_candidate_atlas(
         shape = (len(self), 2)
         i_target, pct = full(shape, -1, dtype="i4"), zeros(shape, dtype="i1")
         # Backward or forward
-        times = arange(t_start, t_end - dt) if dt > 0 else arange(t_start + dt, t_end)
+        times = arange(t_start, t_end - dt) if dt > 0 else arange(t_start - dt, t_end)
 
         if callback_coherence is None:
             callback_coherence = self.fill_coherence
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 146a87cc..0285936f 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1214,6 +1214,7 @@ def dissociate_network(self):
         translate[:-1][i_sort] = arange(nb_obs)
         self.next_obs[:] = translate[n]
         self.previous_obs[:] = translate[p]
+        return translate
 
     def network_segment(self, id_network, id_segment):
         return self.extract_with_mask(self.segment_slice(id_network, id_segment))

From f1260a09692958479a165cae0a636704ff9df649 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 28 Sep 2022 14:19:47 +0200
Subject: [PATCH 400/441] modify advect option

---
 examples/06_grid_manipulation/pet_advect.py   | 20 +++++++++----------
 examples/06_grid_manipulation/pet_lavd.py     |  4 ++--
 examples/07_cube_manipulation/pet_fsle_med.py |  4 ++--
 .../pet_lavd_detection.py                     | 10 +++++-----
 examples/16_network/pet_follow_particle.py    |  6 +++---
 5 files changed, 22 insertions(+), 22 deletions(-)

diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index 1a98536a..ab2a0e14 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -73,7 +73,7 @@ def save(self, *args, **kwargs):
 # %%
 # Movie properties
 kwargs = dict(frames=arange(51), interval=100)
-kw_p = dict(nb_step=2, time_step=21600)
+kw_p = dict(u_name="u", v_name="v", nb_step=2, time_step=21600)
 frame_t = kw_p["nb_step"] * kw_p["time_step"] / 86400.0
 
 
@@ -102,7 +102,7 @@ def update(i_frame, t_step):
 # ^^^^^^^^^^^^^^^^
 # Draw 3 last position in one path for each particles.,
 # it could be run backward with `backward=True` option in filament method
-p = g.filament(x, y, "u", "v", **kw_p, filament_size=3)
+p = g.filament(x, y, **kw_p, filament_size=3)
 fig, txt, l, t = anim_ax(lw=0.5)
 _ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
 
@@ -110,13 +110,13 @@ def update(i_frame, t_step):
 # Particle forward
 # ^^^^^^^^^^^^^^^^^
 # Forward advection of particles
-p = g.advect(x, y, "u", "v", **kw_p)
+p = g.advect(x, y, **kw_p)
 fig, txt, l, t = anim_ax(ls="", marker=".", markersize=1)
 _ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))
 
 # %%
 # We get last position and run backward until original position
-p = g.advect(x, y, "u", "v", **kw_p, backward=True)
+p = g.advect(x, y, **kw_p, backward=True)
 fig, txt, l, _ = anim_ax(ls="", marker=".", markersize=1)
 _ = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))
 
@@ -139,9 +139,9 @@ def update(i_frame, t_step):
 )
 for time_step in (10800, 21600, 43200, 86400):
     x, y = x0.copy(), y0.copy()
-    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)
-    g.advect(x, y, "u", "v", **kw_advect).__next__()
-    g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
+    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step, u_name="u", v_name="v")
+    g.advect(x, y, **kw_advect).__next__()
+    g.advect(x, y, **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
     ax.hist(d, **kw, label=f"{86400. / time_step:.0f} time step by day")
 ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
@@ -158,9 +158,9 @@ def update(i_frame, t_step):
 time_step = 10800
 for duration in (5, 50, 100):
     x, y = x0.copy(), y0.copy()
-    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)
-    g.advect(x, y, "u", "v", **kw_advect).__next__()
-    g.advect(x, y, "u", "v", **kw_advect, backward=True).__next__()
+    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step, u_name="u", v_name="v")
+    g.advect(x, y, **kw_advect).__next__()
+    g.advect(x, y, **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
     ax.hist(d, **kw, label=f"Time duration {duration} days")
 ax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc="lower right"), ax.grid()
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 331ace8a..639db99e 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -110,9 +110,9 @@ def save(self, *args, **kwargs):
 step_by_day = 3
 # Compute step of advection every 4h
 nb_step = 2
-kw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step)
+kw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step, u_name="u", v_name="v")
 # Start a generator which at each iteration return new position at next time step
-particule = g.advect(x, y, "u", "v", **kw_p, rk4=True)
+particule = g.advect(x, y, **kw_p, rk4=True)
 
 # %%
 # LAVD
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index ef777639..a949ec77 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -142,8 +142,8 @@ def build_triplet(x, y, step=0.02):
 used = zeros(x.shape[0], dtype="bool")
 
 # advection generator
-kw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)
-p = c.advect(x, y, "u", "v", time_step=86400 / time_step_by_days, **kw)
+kw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used, u_name="u", v_name="v")
+p = c.advect(x, y, time_step=86400 / time_step_by_days, **kw)
 
 # We check at each step of advection if particle distance is over `dist_max`
 for i in range(time_step_by_days * nb_days):
diff --git a/examples/07_cube_manipulation/pet_lavd_detection.py b/examples/07_cube_manipulation/pet_lavd_detection.py
index 1fa4d60b..4dace120 100644
--- a/examples/07_cube_manipulation/pet_lavd_detection.py
+++ b/examples/07_cube_manipulation/pet_lavd_detection.py
@@ -93,7 +93,7 @@ def update_axes(ax, mappable=None):
 # Time properties, for example with advection only 25 days
 nb_days, step_by_day = 25, 6
 nb_time = step_by_day * nb_days
-kw_p = dict(nb_step=1, time_step=86400 / step_by_day)
+kw_p = dict(nb_step=1, time_step=86400 / step_by_day, u_name="u", v_name="v")
 t0 = 20236
 t0_grid = c[t0]
 # Geographic properties, we use a coarser resolution for time consuming reasons
@@ -114,7 +114,7 @@ def update_axes(ax, mappable=None):
 # ----------------------------
 lavd = zeros(original_shape)
 lavd_ = lavd[m]
-p = c.advect(x0.copy(), y0.copy(), "u", "v", t_init=t0, **kw_p)
+p = c.advect(x0.copy(), y0.copy(), t_init=t0, **kw_p)
 for _ in range(nb_time):
     t, x, y = p.__next__()
     lavd_ += abs(c.interp("vort", t / 86400.0, x, y))
@@ -131,7 +131,7 @@ def update_axes(ax, mappable=None):
 # -----------------------------
 lavd = zeros(original_shape)
 lavd_ = lavd[m]
-p = c.advect(x0.copy(), y0.copy(), "u", "v", t_init=t0, backward=True, **kw_p)
+p = c.advect(x0.copy(), y0.copy(), t_init=t0, backward=True, **kw_p)
 for i in range(nb_time):
     t, x, y = p.__next__()
     lavd_ += abs(c.interp("vort", t / 86400.0, x, y))
@@ -148,7 +148,7 @@ def update_axes(ax, mappable=None):
 # ---------------------------
 lavd = zeros(original_shape)
 lavd_ = lavd[m]
-p = t0_grid.advect(x0.copy(), y0.copy(), "u", "v", **kw_p)
+p = t0_grid.advect(x0.copy(), y0.copy(), **kw_p)
 for _ in range(nb_time):
     x, y = p.__next__()
     lavd_ += abs(t0_grid.interp("vort", x, y))
@@ -165,7 +165,7 @@ def update_axes(ax, mappable=None):
 # ----------------------------
 lavd = zeros(original_shape)
 lavd_ = lavd[m]
-p = t0_grid.advect(x0.copy(), y0.copy(), "u", "v", backward=True, **kw_p)
+p = t0_grid.advect(x0.copy(), y0.copy(), backward=True, **kw_p)
 for i in range(nb_time):
     x, y = p.__next__()
     lavd_ += abs(t0_grid.interp("vort", x, y))
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 21592558..356c7da4 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -95,11 +95,11 @@ def save(self, *args, **kwargs):
 a.txt.set_position((25, 31))
 
 step = 0.25
-kw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step)
+kw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step, u_name="u", v_name="v")
 
 mappables = dict()
-particules = c.advect(x, y, "u", "v", **kw_p)
-filament = c.filament(x_f, y_f, "u", "v", **kw_p, filament_size=3)
+particules = c.advect(x, y, **kw_p)
+filament = c.filament(x_f, y_f, **kw_p, filament_size=3)
 kw = dict(ls="", marker=".", markersize=0.25)
 for k in index_:
     m = k == index

From d54a743e61891ddbe913da7f2a25f5a389b09540 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 28 Sep 2022 14:24:03 +0200
Subject: [PATCH 401/441] return sorting argument

---
 src/py_eddy_tracker/observations/network.py   | 53 ++++++++-----------
 .../observations/observation.py               | 20 ++++---
 src/py_eddy_tracker/observations/tracking.py  |  6 +--
 src/py_eddy_tracker/tracking.py               |  4 +-
 4 files changed, 38 insertions(+), 45 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 0285936f..604035e4 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -106,12 +106,14 @@ def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
 
 class NetworkObservations(GroupEddiesObservations):
 
-    __slots__ = ("_index_network",)
-
+    __slots__ = ("_index_network", "_index_segment_track", "_segment_track_array")
     NOGROUP = 0
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
+        self.reset_index()
+    
+    def reset_index(self):
         self._index_network = None
         self._index_segment_track = None
         self._segment_track_array = None
@@ -251,9 +253,8 @@ def elements(self):
 
     def astype(self, cls):
         new = cls.new_like(self, self.shape)
-        print()
-        for k in new.obs.dtype.names:
-            if k in self.obs.dtype.names:
+        for k in new.fields:
+            if k in self.fields:
                 new[k][:] = self[k][:]
         new.sign_type = self.sign_type
         return new
@@ -371,8 +372,7 @@ def correct_close_events(self, nb_days_max=20):
 
         self.segment[:] = segment_copy
         self.previous_obs[:] = previous_obs
-
-        self.sort()
+        return self.sort()
 
     def sort(self, order=("track", "segment", "time")):
         """
@@ -380,14 +380,19 @@ def sort(self, order=("track", "segment", "time")):
 
         :param tuple order: order or sorting. Given to :func:`numpy.argsort`
         """
-        index_order = self.obs.argsort(order=order)
-        for field in self.elements:
+        index_order = self.obs.argsort(order=order, kind="mergesort")
+        self.reset_index()
+        for field in self.fields:
             self[field][:] = self[field][index_order]
 
-        translate = -ones(index_order.max() + 2, dtype="i4")
-        translate[index_order] = arange(index_order.shape[0])
+        nb_obs = len(self)
+        # we add 1 for -1 index return index -1
+        translate = -ones(nb_obs + 1, dtype="i4")
+        translate[index_order] = arange(nb_obs)
+        # next & previous must be re-indexed
         self.next_obs[:] = translate[self.next_obs]
         self.previous_obs[:] = translate[self.previous_obs]
+        return index_order, translate
 
     def obs_relative_order(self, i_obs):
         self.only_one_network()
@@ -654,16 +659,16 @@ def normalize_longitude(self):
         lon0 = (self.lon[i_start] - 180).repeat(i_stop - i_start)
         logger.debug("Normalize longitude")
         self.lon[:] = (self.lon - lon0) % 360 + lon0
-        if "lon_max" in self.obs.dtype.names:
+        if "lon_max" in self.fields:
             logger.debug("Normalize longitude_max")
             self.lon_max[:] = (self.lon_max - self.lon + 180) % 360 + self.lon - 180
         if not self.raw_data:
-            if "contour_lon_e" in self.obs.dtype.names:
+            if "contour_lon_e" in self.fields:
                 logger.debug("Normalize effective contour longitude")
                 self.contour_lon_e[:] = (
                     (self.contour_lon_e.T - self.lon + 180) % 360 + self.lon - 180
                 ).T
-            if "contour_lon_s" in self.obs.dtype.names:
+            if "contour_lon_s" in self.fields:
                 logger.debug("Normalize speed contour longitude")
                 self.contour_lon_s[:] = (
                     (self.contour_lon_s.T - self.lon + 180) % 360 + self.lon - 180
@@ -1071,7 +1076,7 @@ def extract_event(self, indices):
             raw_data=self.raw_data,
         )
 
-        for k in new.obs.dtype.names:
+        for k in new.fields:
             new[k][:] = self[k][indices]
         new.sign_type = self.sign_type
         return new
@@ -1194,27 +1199,11 @@ def dissociate_network(self):
         """
         Dissociate networks with no known interaction (splitting/merging)
         """
-
         tags = self.tag_segment(multi_network=True)
         if self.track[0] == 0:
             tags -= 1
-
         self.track[:] = tags[self.segment_track_array]
-
-        i_sort = self.obs.argsort(order=("track", "segment", "time"), kind="mergesort")
-        # Sort directly obs, with hope to save memory
-        self.obs.sort(order=("track", "segment", "time"), kind="mergesort")
-        self._index_network = None
-
-        # n & p must be re-indexed
-        n, p = self.next_obs, self.previous_obs
-        # we add 2 for -1 index return index -1
-        nb_obs = len(self)
-        translate = -ones(nb_obs + 1, dtype="i4")
-        translate[:-1][i_sort] = arange(nb_obs)
-        self.next_obs[:] = translate[n]
-        self.previous_obs[:] = translate[p]
-        return translate
+        return self.sort()
 
     def network_segment(self, id_network, id_segment):
         return self.extract_with_mask(self.segment_slice(id_network, id_segment))
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 7b1e0e45..ae95315e 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -306,12 +306,16 @@ def box_display(value):
         """Return values evenly spaced with few numbers"""
         return "".join([f"{v_:10.2f}" for v_ in value])
 
+    @property
+    def fields(self):
+        return list(self.obs.dtype.names)
+
     def field_table(self):
         """
         Produce description table of the fields available in this object
         """
         rows = [("Name (Unit)", "Long name", "Scale factor", "Offset")]
-        names = list(self.obs.dtype.names)
+        names = self.fields
         names.sort()
         for field in names:
             infos = VAR_DESCR[field]
@@ -414,7 +418,7 @@ def remove_fields(self, *fields):
         """
         nb_obs = self.obs.shape[0]
         fields = set(fields)
-        only_variables = set(self.obs.dtype.names) - fields
+        only_variables = set(self.fields) - fields
         track_extra_variables = set(self.track_extra_variables) - fields
         array_variables = set(self.array_variables) - fields
         new = self.__class__(
@@ -426,7 +430,7 @@ def remove_fields(self, *fields):
             raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
-        for name in new.obs.dtype.names:
+        for name in new.fields:
             logger.debug("Copy of field %s ...", name)
             new.obs[name] = self.obs[name]
         return new
@@ -444,12 +448,12 @@ def add_fields(self, fields=list(), array_fields=list()):
             track_array_variables=self.track_array_variables,
             array_variables=list(concatenate((self.array_variables, array_fields))),
             only_variables=list(
-                concatenate((self.obs.dtype.names, fields, array_fields))
+                concatenate((self.fields, fields, array_fields))
             ),
             raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
-        for name in self.obs.dtype.names:
+        for name in self.fields:
             logger.debug("Copy of field %s ...", name)
             new.obs[name] = self.obs[name]
         return new
@@ -467,8 +471,8 @@ def circle_contour(self, only_virtual=False, factor=1):
         """
         angle = radians(linspace(0, 360, self.track_array_variables))
         x_norm, y_norm = cos(angle), sin(angle)
-        radius_s = "contour_lon_s" in self.obs.dtype.names
-        radius_e = "contour_lon_e" in self.obs.dtype.names
+        radius_s = "contour_lon_s" in self.fields
+        radius_e = "contour_lon_e" in self.fields
         for i, obs in enumerate(self):
             if only_virtual and not obs["virtual"]:
                 continue
@@ -684,7 +688,7 @@ def distance(self, other):
 
     def __copy__(self):
         eddies = self.new_like(self, len(self))
-        for k in self.obs.dtype.names:
+        for k in self.fields:
             eddies[k][:] = self[k][:]
         eddies.sign_type = self.sign_type
         return eddies
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 993e30f9..f1d2399b 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -183,16 +183,16 @@ def normalize_longitude(self):
         lon0 = (self.lon[self.index_from_track] - 180).repeat(self.nb_obs_by_track)
         logger.debug("Normalize longitude")
         self.lon[:] = (self.lon - lon0) % 360 + lon0
-        if "lon_max" in self.obs.dtype.names:
+        if "lon_max" in self.fields:
             logger.debug("Normalize longitude_max")
             self.lon_max[:] = (self.lon_max - self.lon + 180) % 360 + self.lon - 180
         if not self.raw_data:
-            if "contour_lon_e" in self.obs.dtype.names:
+            if "contour_lon_e" in self.fields:
                 logger.debug("Normalize effective contour longitude")
                 self.contour_lon_e[:] = (
                     (self.contour_lon_e.T - self.lon + 180) % 360 + self.lon - 180
                 ).T
-            if "contour_lon_s" in self.obs.dtype.names:
+            if "contour_lon_s" in self.fields:
                 logger.debug("Normalize speed contour longitude")
                 self.contour_lon_s[:] = (
                     (self.contour_lon_s.T - self.lon + 180) % 360 + self.lon - 180
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 02068962..16616d5a 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -658,7 +658,7 @@ def merge(self, until=-1, raw_data=True):
         # Set type of eddy with first file
         eddies.sign_type = self.current_obs.sign_type
         # Fields to copy
-        fields = self.current_obs.obs.dtype.names
+        fields = self.current_obs.fields
 
         # To know if the track start
         first_obs_save_in_tracks = zeros(self.i_current_by_tracks.shape, dtype=bool_)
@@ -707,7 +707,7 @@ def merge(self, until=-1, raw_data=True):
             # Index in the current file
             index_current = self[i]["out"]
 
-            if "cost_association" in eddies.obs.dtype.names:
+            if "cost_association" in eddies.fields:
                 eddies["cost_association"][index_final - 1] = self[i]["cost_value"]
             # Copy all variable
             for field in fields:

From 2ba0d2af02d59dff8c6ed811ffcd5c5ff04e8189 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 28 Sep 2022 15:08:37 +0200
Subject: [PATCH 402/441] update example

---
 .../pet_particles_drift.py                    |  6 ++--
 .../06_grid_manipulation/pet_advect.ipynb     | 28 +++++++++----------
 .../06_grid_manipulation/pet_lavd.ipynb       | 18 ++++++------
 .../07_cube_manipulation/pet_fsle_med.ipynb   | 22 +++++++--------
 .../pet_lavd_detection.ipynb                  | 12 ++++----
 .../pet_particles_drift.ipynb                 |  6 ++--
 src/py_eddy_tracker/observations/groups.py    |  2 +-
 7 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/examples/07_cube_manipulation/pet_particles_drift.py b/examples/07_cube_manipulation/pet_particles_drift.py
index f73216fc..c61ced5b 100644
--- a/examples/07_cube_manipulation/pet_particles_drift.py
+++ b/examples/07_cube_manipulation/pet_particles_drift.py
@@ -20,7 +20,7 @@
     "longitude",
     "latitude",
     "time",
-    heigth="adt",
+    unset=True
 )
 
 # %%
@@ -34,7 +34,7 @@
 # Get paths
 x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))
 x0, y0 = x0.reshape(-1), y0.reshape(-1)
-t, x, y = c.path(x0, y0, "u", "v", t_init=t0, **kw_p, nb_time=nb_time)
+t, x, y = c.path(x0, y0, h_name="adt", t_init=t0, **kw_p, nb_time=nb_time)
 
 # %%
 # Plot paths
@@ -43,4 +43,4 @@
 ax.plot(x, y, lw=3)
 ax.set_title("10 days particle paths")
 ax.set_xlim(31, 35), ax.set_ylim(32, 34.5)
-ax.grid()
+ax.grid()
\ No newline at end of file
diff --git a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
index 79d69b0d..90ee1722 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_advect.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nGrid advection\n==============\n\nDummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.\n"
+        "\n# Grid advection\n\nDummy advection which use only static geostrophic current, which didn't solve the complex circulation of the ocean.\n"
       ]
     },
     {
@@ -98,7 +98,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Anim\n----\nParticles setup\n\n"
+        "## Anim\nParticles setup\n\n"
       ]
     },
     {
@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "kwargs = dict(frames=arange(51), interval=100)\nkw_p = dict(nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0"
+        "kwargs = dict(frames=arange(51), interval=100)\nkw_p = dict(u_name=\"u\", v_name=\"v\", nb_step=2, time_step=21600)\nframe_t = kw_p[\"nb_step\"] * kw_p[\"time_step\"] / 86400.0"
       ]
     },
     {
@@ -152,7 +152,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Filament forward\n^^^^^^^^^^^^^^^^\nDraw 3 last position in one path for each particles.,\nit could be run backward with `backward=True` option in filament method\n\n"
+        "### Filament forward\nDraw 3 last position in one path for each particles.,\nit could be run backward with `backward=True` option in filament method\n\n"
       ]
     },
     {
@@ -163,14 +163,14 @@
       },
       "outputs": [],
       "source": [
-        "p = g.filament(x, y, \"u\", \"v\", **kw_p, filament_size=3)\nfig, txt, l, t = anim_ax(lw=0.5)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "p = g.filament(x, y, **kw_p, filament_size=3)\nfig, txt, l, t = anim_ax(lw=0.5)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Particle forward\n^^^^^^^^^^^^^^^^^\nForward advection of particles\n\n"
+        "### Particle forward\nForward advection of particles\n\n"
       ]
     },
     {
@@ -181,7 +181,7 @@
       },
       "outputs": [],
       "source": [
-        "p = g.advect(x, y, \"u\", \"v\", **kw_p)\nfig, txt, l, t = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
+        "p = g.advect(x, y, **kw_p)\nfig, txt, l, t = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(frame_t,))"
       ]
     },
     {
@@ -199,21 +199,21 @@
       },
       "outputs": [],
       "source": [
-        "p = g.advect(x, y, \"u\", \"v\", **kw_p, backward=True)\nfig, txt, l, _ = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
+        "p = g.advect(x, y, **kw_p, backward=True)\nfig, txt, l, _ = anim_ax(ls=\"\", marker=\".\", markersize=1)\n_ = VideoAnimation(fig, update, **kwargs, fargs=(-frame_t,))"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Particles stat\n--------------\n\n"
+        "## Particles stat\n\n"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Time_step settings\n^^^^^^^^^^^^^^^^^^\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
+        "### Time_step settings\nDummy experiment to test advection precision, we run particles 50 days forward and backward with different time step\nand we measure distance between new positions and original positions.\n\n"
       ]
     },
     {
@@ -224,14 +224,14 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax = fig.add_subplot(111)\nkw = dict(\n    bins=arange(0, 50, 0.001),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
+        "fig = plt.figure()\nax = fig.add_subplot(111)\nkw = dict(\n    bins=arange(0, 50, 0.001),\n    cumulative=True,\n    weights=ones(x0.shape) / x0.shape[0] * 100.0,\n    histtype=\"step\",\n)\nfor time_step in (10800, 21600, 43200, 86400):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step, u_name=\"u\", v_name=\"v\")\n    g.advect(x, y, **kw_advect).__next__()\n    g.advect(x, y, **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"{86400. / time_step:.0f} time step by day\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\"Distance after 50 days forward and 50 days backward\")\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than\")"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Time duration\n^^^^^^^^^^^^^\nWe keep same time_step but change time duration\n\n"
+        "### Time duration\nWe keep same time_step but change time duration\n\n"
       ]
     },
     {
@@ -242,7 +242,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure()\nax = fig.add_subplot(111)\ntime_step = 10800\nfor duration in (5, 50, 100):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step)\n    g.advect(x, y, \"u\", \"v\", **kw_advect).__next__()\n    g.advect(x, y, \"u\", \"v\", **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
+        "fig = plt.figure()\nax = fig.add_subplot(111)\ntime_step = 10800\nfor duration in (5, 50, 100):\n    x, y = x0.copy(), y0.copy()\n    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step, u_name=\"u\", v_name=\"v\")\n    g.advect(x, y, **kw_advect).__next__()\n    g.advect(x, y, **kw_advect, backward=True).__next__()\n    d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5\n    ax.hist(d, **kw, label=f\"Time duration {duration} days\")\nax.set_xlim(0, 0.25), ax.set_ylim(0, 100), ax.legend(loc=\"lower right\"), ax.grid()\nax.set_title(\n    \"Distance after N days forward and N days backward\\nwith a time step of 1/8 days\"\n)\nax.set_xlabel(\"Distance between original position and final position (in degrees)\")\n_ = ax.set_ylabel(\"Percent of particles with distance lesser than \")"
       ]
     }
   ],
@@ -262,7 +262,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
index c4a4da84..cbe6de64 100644
--- a/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
+++ b/notebooks/python_module/06_grid_manipulation/pet_lavd.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nLAVD experiment\n===============\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
+        "\n# LAVD experiment\n\nNaive method to reproduce LAVD(Lagrangian-Averaged Vorticity deviation) method with a static velocity field.\nIn the current example we didn't remove a mean vorticity.\n\nMethod are described here:\n\n    - Abernathey, Ryan, and George Haller. \"Transport by Lagrangian Vortices in the Eastern Pacific\",\n      Journal of Physical Oceanography 48, 3 (2018): 667-685, accessed Feb 16, 2021,\n      https://doi.org/10.1175/JPO-D-17-0102.1\n    - `Transport by Coherent Lagrangian Vortices`_,\n      R. Abernathey, Sinha A., Tarshish N., Liu T., Zhang C., Haller G., 2019,\n      Talk a t the Sources and Sinks of Ocean Mesoscale Eddy Energy CLIVAR Workshop\n\n    https://usclivar.org/sites/default/files/meetings/2019/presentations/Aberernathey_CLIVAR.pdf\n"
       ]
     },
     {
@@ -55,7 +55,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Data\n----\nTo compute vorticity ($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
+        "## Data\nTo compute vorticity ($\\omega$) we compute u/v field with a stencil and apply the following equation with stencil\nmethod :\n\n\\begin{align}\\omega = \\frac{\\partial v}{\\partial x} - \\frac{\\partial u}{\\partial y}\\end{align}\n\n"
       ]
     },
     {
@@ -91,7 +91,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Particles\n---------\nParticles specification\n\n"
+        "## Particles\nParticles specification\n\n"
       ]
     },
     {
@@ -102,14 +102,14 @@
       },
       "outputs": [],
       "source": [
-        "step = 1 / 32\nx_g, y_g = arange(0, 36, step), arange(28, 46, step)\nx, y = meshgrid(x_g, y_g)\noriginal_shape = x.shape\nx, y = x.reshape(-1), y.reshape(-1)\nprint(f\"{len(x)} particles advected\")\n# A frame every 8h\nstep_by_day = 3\n# Compute step of advection every 4h\nnb_step = 2\nkw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step)\n# Start a generator which at each iteration return new position at next time step\nparticule = g.advect(x, y, \"u\", \"v\", **kw_p, rk4=True)"
+        "step = 1 / 32\nx_g, y_g = arange(0, 36, step), arange(28, 46, step)\nx, y = meshgrid(x_g, y_g)\noriginal_shape = x.shape\nx, y = x.reshape(-1), y.reshape(-1)\nprint(f\"{len(x)} particles advected\")\n# A frame every 8h\nstep_by_day = 3\n# Compute step of advection every 4h\nnb_step = 2\nkw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step, u_name=\"u\", v_name=\"v\")\n# Start a generator which at each iteration return new position at next time step\nparticule = g.advect(x, y, **kw_p, rk4=True)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "LAVD\n----\n\n"
+        "## LAVD\n\n"
       ]
     },
     {
@@ -127,7 +127,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Anim\n^^^^\nMovie of LAVD integration at each integration time step.\n\n"
+        "### Anim\nMovie of LAVD integration at each integration time step.\n\n"
       ]
     },
     {
@@ -145,7 +145,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Final LAVD\n^^^^^^^^^^\n\n"
+        "### Final LAVD\n\n"
       ]
     },
     {
@@ -163,7 +163,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(lavd=lavd.T, lon=x_g, lat=y_g,),\n    centered=True,\n)"
+        "lavd = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"), datas=dict(lavd=lavd.T, lon=x_g, lat=y_g), centered=True\n)"
       ]
     },
     {
@@ -201,7 +201,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
index 8ee136b3..6f52e750 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_fsle_med.ipynb
@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\nFSLE experiment in med\n======================\n\nExample to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
+        "\n# FSLE experiment in med\n\nExample to build Finite Size Lyapunov Exponents, parameter values must be adapted for your case.\n\nExample use a method similar to `AVISO flse`_\n\n    https://www.aviso.altimetry.fr/en/data/products/value-added-products/\n    fsle-finite-size-lyapunov-exponents/fsle-description.html\n"
       ]
     },
     {
@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "ADT in med\n----------\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also \n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
+        "## ADT in med\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_cube` method is\nmade for data stores in time cube, you could use also\n:py:meth:`~py_eddy_tracker.dataset.grid.GridCollection.from_netcdf_list` method to\nload data-cube from multiple file.\n\n"
       ]
     },
     {
@@ -51,7 +51,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Methods to compute FSLE\n-----------------------\n\n"
+        "## Methods to compute FSLE\n\n"
       ]
     },
     {
@@ -62,14 +62,14 @@
       },
       "outputs": [],
       "source": [
-        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max ** 2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn ** 2 + dyn ** 2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe ** 2 + dye ** 2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init ** 2) * (s1 + s2 ** 0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop particle advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
+        "@njit(cache=True, fastmath=True)\ndef check_p(x, y, flse, theta, m_set, m, dt, dist_init=0.02, dist_max=0.6):\n    \"\"\"\n    Check if distance between eastern or northern particle to center particle is bigger than `dist_max`\n    \"\"\"\n    nb_p = x.shape[0] // 3\n    delta = dist_max**2\n    for i in range(nb_p):\n        i0 = i * 3\n        i_n = i0 + 1\n        i_e = i0 + 2\n        # If particle already set, we skip\n        if m[i0] or m[i_n] or m[i_e]:\n            continue\n        # Distance with north\n        dxn, dyn = x[i0] - x[i_n], y[i0] - y[i_n]\n        dn = dxn**2 + dyn**2\n        # Distance with east\n        dxe, dye = x[i0] - x[i_e], y[i0] - y[i_e]\n        de = dxe**2 + dye**2\n\n        if dn >= delta or de >= delta:\n            s1 = dn + de\n            at1 = 2 * (dxe * dxn + dye * dyn)\n            at2 = de - dn\n            s2 = ((dxn + dye) ** 2 + (dxe - dyn) ** 2) * (\n                (dxn - dye) ** 2 + (dxe + dyn) ** 2\n            )\n            flse[i] = 1 / (2 * dt) * log(1 / (2 * dist_init**2) * (s1 + s2**0.5))\n            theta[i] = arctan2(at1, at2 + s2) * 180 / pi\n            # To know where value are set\n            m_set[i] = False\n            # To stop particle advection\n            m[i0], m[i_n], m[i_e] = True, True, True\n\n\n@njit(cache=True)\ndef build_triplet(x, y, step=0.02):\n    \"\"\"\n    Triplet building for each position we add east and north point with defined step\n    \"\"\"\n    nb_x = x.shape[0]\n    x_ = empty(nb_x * 3, dtype=x.dtype)\n    y_ = empty(nb_x * 3, dtype=y.dtype)\n    for i in range(nb_x):\n        i0 = i * 3\n        i_n, i_e = i0 + 1, i0 + 2\n        x__, y__ = x[i], y[i]\n        x_[i0], y_[i0] = x__, y__\n        x_[i_n], y_[i_n] = x__, y__ + step\n        x_[i_e], y_[i_e] = x__ + step, y__\n    return x_, y_"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Settings\n--------\n\n"
+        "## Settings\n\n"
       ]
     },
     {
@@ -87,7 +87,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Particles\n---------\n\n"
+        "## Particles\n\n"
       ]
     },
     {
@@ -105,7 +105,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "FSLE\n----\n\n"
+        "## FSLE\n\n"
       ]
     },
     {
@@ -116,14 +116,14 @@
       },
       "outputs": [],
       "source": [
-        "# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\ntheta = zeros(x0.shape[0], dtype=\"f4\")\nmask = ones(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0, dist_init)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used)\np = c.advect(x, y, \"u\", \"v\", time_step=86400 / time_step_by_days, **kw)\n\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, theta, mask, used, dt, dist_max=dist_max, dist_init=dist_init)\n\n# Get index with original_position\ni = ((x0 - x0_) / step_grid_out).astype(\"i4\")\nj = ((y0 - y0_) / step_grid_out).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\ntheta_ = empty(grid_shape, dtype=\"f4\")\nmask_ = ones(grid_shape, dtype=\"bool\")\nfsle_[i, j] = fsle\ntheta_[i, j] = theta\nmask_[i, j] = mask\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_, mask=mask_),\n        theta=ma.array(theta_, mask=mask_),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
+        "# Array to compute fsle\nfsle = zeros(x0.shape[0], dtype=\"f4\")\ntheta = zeros(x0.shape[0], dtype=\"f4\")\nmask = ones(x0.shape[0], dtype=\"f4\")\nx, y = build_triplet(x0, y0, dist_init)\nused = zeros(x.shape[0], dtype=\"bool\")\n\n# advection generator\nkw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used, u_name=\"u\", v_name=\"v\")\np = c.advect(x, y, time_step=86400 / time_step_by_days, **kw)\n\n# We check at each step of advection if particle distance is over `dist_max`\nfor i in range(time_step_by_days * nb_days):\n    t, xt, yt = p.__next__()\n    dt = t / 86400.0 - t0\n    check_p(xt, yt, fsle, theta, mask, used, dt, dist_max=dist_max, dist_init=dist_init)\n\n# Get index with original_position\ni = ((x0 - x0_) / step_grid_out).astype(\"i4\")\nj = ((y0 - y0_) / step_grid_out).astype(\"i4\")\nfsle_ = empty(grid_shape, dtype=\"f4\")\ntheta_ = empty(grid_shape, dtype=\"f4\")\nmask_ = ones(grid_shape, dtype=\"bool\")\nfsle_[i, j] = fsle\ntheta_[i, j] = theta\nmask_[i, j] = mask\n# Create a grid object\nfsle_custom = RegularGridDataset.with_array(\n    coordinates=(\"lon\", \"lat\"),\n    datas=dict(\n        fsle=ma.array(fsle_, mask=mask_),\n        theta=ma.array(theta_, mask=mask_),\n        lon=lon_p,\n        lat=lat_p,\n    ),\n    centered=True,\n)"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display FSLE\n------------\n\n"
+        "## Display FSLE\n\n"
       ]
     },
     {
@@ -141,7 +141,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Display Theta\n-------------\n\n"
+        "## Display Theta\n\n"
       ]
     },
     {
@@ -172,7 +172,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
index bd197c57..708d7024 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_lavd_detection.ipynb
@@ -84,7 +84,7 @@
       },
       "outputs": [],
       "source": [
-        "# Time properties, for example with advection only 25 days\nnb_days, step_by_day = 25, 6\nnb_time = step_by_day * nb_days\nkw_p = dict(nb_step=1, time_step=86400 / step_by_day)\nt0 = 20236\nt0_grid = c[t0]\n# Geographic properties, we use a coarser resolution for time consuming reasons\nstep = 1 / 32.0\nx_g, y_g = arange(-6, 36, step), arange(30, 46, step)\nx0, y0 = meshgrid(x_g, y_g)\noriginal_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Get all particles in defined area\nm = ~isnan(t0_grid.interp(\"vort\", x0, y0))\nx0, y0 = x0[m], y0[m]\nprint(f\"{x0.size} particles advected\")\n# Gridded mask\nm = m.reshape(original_shape)"
+        "# Time properties, for example with advection only 25 days\nnb_days, step_by_day = 25, 6\nnb_time = step_by_day * nb_days\nkw_p = dict(nb_step=1, time_step=86400 / step_by_day, u_name=\"u\", v_name=\"v\")\nt0 = 20236\nt0_grid = c[t0]\n# Geographic properties, we use a coarser resolution for time consuming reasons\nstep = 1 / 32.0\nx_g, y_g = arange(-6, 36, step), arange(30, 46, step)\nx0, y0 = meshgrid(x_g, y_g)\noriginal_shape = x0.shape\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\n# Get all particles in defined area\nm = ~isnan(t0_grid.interp(\"vort\", x0, y0))\nx0, y0 = x0[m], y0[m]\nprint(f\"{x0.size} particles advected\")\n# Gridded mask\nm = m.reshape(original_shape)"
       ]
     },
     {
@@ -102,7 +102,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), \"u\", \"v\", t_init=t0, **kw_p)\nfor _ in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection\")\nmappable = lavd_forward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), t_init=t0, **kw_p)\nfor _ in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection\")\nmappable = lavd_forward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
       ]
     },
     {
@@ -120,7 +120,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), \"u\", \"v\", t_init=t0, backward=True, **kw_p)\nfor i in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection\")\nmappable = lavd_backward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = c.advect(x0.copy(), y0.copy(), t_init=t0, backward=True, **kw_p)\nfor i in range(nb_time):\n    t, x, y = p.__next__()\n    lavd_ += abs(c.interp(\"vort\", t / 86400.0, x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection\")\nmappable = lavd_backward.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
       ]
     },
     {
@@ -138,7 +138,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), \"u\", \"v\", **kw_p)\nfor _ in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection on a static velocity field\")\nmappable = lavd_forward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), **kw_p)\nfor _ in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_forward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a forward advection on a static velocity field\")\nmappable = lavd_forward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
       ]
     },
     {
@@ -156,7 +156,7 @@
       },
       "outputs": [],
       "source": [
-        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), \"u\", \"v\", backward=True, **kw_p)\nfor i in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection on a static velocity field\")\nmappable = lavd_backward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
+        "lavd = zeros(original_shape)\nlavd_ = lavd[m]\np = t0_grid.advect(x0.copy(), y0.copy(), backward=True, **kw_p)\nfor i in range(nb_time):\n    x, y = p.__next__()\n    lavd_ += abs(t0_grid.interp(\"vort\", x, y))\nlavd[m] = lavd_ / nb_time\n# Put LAVD result in a standard py eddy tracker grid\nlavd_backward_static = LAVDGrid.from_(x_g, y_g, ma.array(lavd, mask=~m).T)\n# Display\nfig, ax, _ = start_ax(\"LAVD with a backward advection on a static velocity field\")\nmappable = lavd_backward_static.display(ax, \"lavd\", **kw_lavd)\n_ = update_axes(ax, mappable)"
       ]
     },
     {
@@ -194,7 +194,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.9"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,
diff --git a/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb b/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb
index 53365ac7..b92c4d21 100644
--- a/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb
+++ b/notebooks/python_module/07_cube_manipulation/pet_particles_drift.ipynb
@@ -44,7 +44,7 @@
       },
       "outputs": [],
       "source": [
-        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    heigth=\"adt\",\n)"
+        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    unset=True\n)"
       ]
     },
     {
@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\nt, x, y = c.path(x0, y0, \"u\", \"v\", t_init=t0, **kw_p, nb_time=nb_time)"
+        "x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\nt, x, y = c.path(x0, y0, h_name=\"adt\", t_init=t0, **kw_p, nb_time=nb_time)"
       ]
     },
     {
@@ -118,7 +118,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.7"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index d363a5dd..b0bb7bbf 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -84,7 +84,7 @@ def advect(x, y, c, t0, n_days, u_name="u", v_name="v"):
     if n_days < 0:
         kw["backward"] = True
         n_days = -n_days
-    p = c.advect(x, y, u_name, v_name, t_init=t0, **kw)
+    p = c.advect(x, y, u_name=u_name, v_name=v_name, t_init=t0, **kw)
     for _ in range(n_days):
         t, x, y = p.__next__()
     return t, x, y

From 1b2c4c78c572384042a16ddd86791e331727a8e2 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 10:47:53 +0200
Subject: [PATCH 403/441] Add wrapping longitude test

---
 tests/test_generic.py | 21 ++++++++++++++++++++-
 1 file changed, 20 insertions(+), 1 deletion(-)

diff --git a/tests/test_generic.py b/tests/test_generic.py
index ab3832cc..29cb64b7 100644
--- a/tests/test_generic.py
+++ b/tests/test_generic.py
@@ -1,6 +1,6 @@
 from numpy import arange, array, nan, ones, zeros
 
-from py_eddy_tracker.generic import cumsum_by_track, simplify
+from py_eddy_tracker.generic import cumsum_by_track, simplify, wrap_longitude
 
 
 def test_simplify():
@@ -30,3 +30,22 @@ def test_cumsum_by_track():
     a = ones(10, dtype="i4") * 2
     track = array([1, 1, 2, 2, 2, 2, 44, 44, 44, 48])
     assert (cumsum_by_track(a, track) == [2, 4, 2, 4, 6, 8, 2, 4, 6, 2]).all()
+
+
+def test_wrapping():
+    y = x = arange(-5,5, dtype='f4')
+    x_, _ = wrap_longitude(x, y, ref=-10)
+    assert (x_ == x).all()
+    x_, _ = wrap_longitude(x, y, ref=1)
+    assert x.size == x_.size
+    assert (x_[6:] == x[6:]).all()
+    assert (x_[:6] == x[:6] + 360).all()
+    x_, _ = wrap_longitude(x, y, ref=1, cut=True)
+    assert x.size + 3 == x_.size
+    assert (x_[6 + 3:] == x[6:]).all()
+    assert (x_[:7] == x[:7] + 360).all()
+
+    # FIXME Need evolution in wrap_longitude
+    # x %= 360
+    # x_, _ = wrap_longitude(x, y, ref=-10, cut=True)
+    # assert x.size == x_.size

From c7fbbd7636650fcc1dc57077c8b9e988a34e9f69 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 10:48:25 +0200
Subject: [PATCH 404/441] Add hybrid method and speed up union method

---
 src/py_eddy_tracker/poly.py | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 6adb02c1..deabd3ea 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -431,7 +431,7 @@ def merge(x, y):
     return concatenate(x), concatenate(y)
 
 
-def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False):
+def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False, hybrid_area=False, min_overlap=0):
     r"""
     Return percent of overlap for each item.
 
@@ -441,6 +441,9 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False):
     :param array y1: y for polygon list 1
     :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union
     :param bool p1_area: If True, function will compute intersection/p1 polygon, else intersection/union
+    :param bool hybrid_area: If True, function will compute like union,
+                             but if cost is under min_overlap, obs is kept in case of fully included
+    :param float min_overlap: under this value cost is set to zero
     :return: Result of cost function
     :rtype: array
 
@@ -466,14 +469,25 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False):
         # Area of intersection
         intersection = (p0 & p1).area()
         # we divide intersection with the little one result from 0 to 1
+        if intersection == 0:
+            cost[i] = 0
+            continue
+        p0_area_, p1_area_ = p0.area(), p1.area()
         if minimal_area:
-            cost[i] = intersection / min(p0.area(), p1.area())
+            cost_ = intersection / min(p0_area_, p1_area_)
         # we divide intersection with p1
         elif p1_area:
-            cost[i] = intersection / p1.area()
+            cost_ = intersection / p1_area_
         # we divide intersection with polygon merging result from 0 to 1
         else:
-            cost[i] = intersection / (p0 + p1).area()
+            cost_ = intersection / (p0_area_ + p1_area_ - intersection)
+        if cost_ >= min_overlap:
+            cost[i] = cost_
+        else:
+            if hybrid_area and cost_ != 0 and (intersection / min(p0_area_, p1_area_)) > .99:
+                cost[i] = cost_
+            else:
+                cost[i] = 0
     return cost
 
 

From 66f9905f2894b191a1bb9e05e3071c1adc508db3 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 10:51:43 +0200
Subject: [PATCH 405/441] Remove reference to obs or observation to be easily
 replace by store later

---
 src/py_eddy_tracker/observations/groups.py    | 11 +++----
 .../observations/observation.py               | 31 +++++++++----------
 src/py_eddy_tracker/observations/tracking.py  | 18 +++++------
 3 files changed, 27 insertions(+), 33 deletions(-)

diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index b0bb7bbf..54ae013c 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -292,15 +292,14 @@ def filled_by_interpolation(self, mask):
         nb_obs = len(self)
         index = arange(nb_obs)
 
-        for field in self.obs.dtype.descr:
-            var = field[0]
+        for field in self.fields:
             if (
-                var in ["n", "virtual", "track", "cost_association"]
-                or var in self.array_variables
+                field in ["n", "virtual", "track", "cost_association"]
+                or field in self.array_variables
             ):
                 continue
-            self.obs[var][mask] = interp(
-                index[mask], index[~mask], self.obs[var][~mask]
+            self.obs[field][mask] = interp(
+                index[mask], index[~mask], self.obs[field][~mask]
             )
 
     def insert_virtual(self):
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index ae95315e..29fcf434 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -264,7 +264,7 @@ def get_infos(self):
             bins_lat=(-90, -60, -15, 15, 60, 90),
             bins_amplitude=array((0, 1, 2, 3, 4, 5, 10, 500)),
             bins_radius=array((0, 15, 30, 45, 60, 75, 100, 200, 2000)),
-            nb_obs=self.observations.shape[0],
+            nb_obs=len(self),
         )
         t0, t1 = self.period
         infos["t0"], infos["t1"] = t0, t1
@@ -341,7 +341,7 @@ def __repr__(self):
         bins_lat = (-90, -60, -15, 15, 60, 90)
         bins_amplitude = array((0, 1, 2, 3, 4, 5, 10, 500))
         bins_radius = array((0, 15, 30, 45, 60, 75, 100, 200, 2000))
-        nb_obs = self.observations.shape[0]
+        nb_obs = len(self)
 
         return f"""    | {nb_obs} observations from {t0} to {t1} ({period} days, ~{nb_obs / period:.0f} obs/day)
     |   Speed area      : {self.speed_area.sum() / period / 1e12:.2f} Mkm²/day
@@ -416,7 +416,7 @@ def remove_fields(self, *fields):
         """
         Copy with fields listed remove
         """
-        nb_obs = self.obs.shape[0]
+        nb_obs = len(self)
         fields = set(fields)
         only_variables = set(self.fields) - fields
         track_extra_variables = set(self.track_extra_variables) - fields
@@ -439,7 +439,7 @@ def add_fields(self, fields=list(), array_fields=list()):
         """
         Add a new field.
         """
-        nb_obs = self.obs.shape[0]
+        nb_obs = len(self)
         new = self.__class__(
             size=nb_obs,
             track_extra_variables=list(
@@ -547,9 +547,9 @@ def merge(self, other):
         nb_obs_self = len(self)
         nb_obs = nb_obs_self + len(other)
         eddies = self.new_like(self, nb_obs)
-        other_keys = other.obs.dtype.fields.keys()
-        self_keys = self.obs.dtype.fields.keys()
-        for key in eddies.obs.dtype.fields.keys():
+        other_keys = other.fields
+        self_keys = self.fields
+        for key in eddies.fields:
             eddies.obs[key][:nb_obs_self] = self.obs[key][:]
             if key in other_keys:
                 eddies.obs[key][nb_obs_self:] = other.obs[key][:]
@@ -657,8 +657,8 @@ def insert_observations(self, other, index):
         """Insert other obs in self at the given index."""
         if not self.coherence(other):
             raise Exception("Observations with no coherence")
-        insert_size = len(other.obs)
-        self_size = len(self.obs)
+        insert_size = len(other)
+        self_size = len(self)
         new_size = self_size + insert_size
         if self_size == 0:
             self.observations = other.obs
@@ -1542,8 +1542,7 @@ def to_zarr(self, handler, **kwargs):
             handler.attrs["track_array_variables"] = self.track_array_variables
             handler.attrs["array_variables"] = ",".join(self.array_variables)
         # Iter on variables to create:
-        fields = [field[0] for field in self.observations.dtype.descr]
-        for ori_name in fields:
+        for ori_name in self.fields:
             # Patch for a transition
             name = ori_name
             #
@@ -1588,12 +1587,11 @@ def to_netcdf(self, handler, **kwargs):
             handler.track_array_variables = self.track_array_variables
             handler.array_variables = ",".join(self.array_variables)
         # Iter on variables to create:
-        fields = [field[0] for field in self.observations.dtype.descr]
         fields_ = array(
-            [VAR_DESCR[field[0]]["nc_name"] for field in self.observations.dtype.descr]
+            [VAR_DESCR[field]["nc_name"] for field in self.fields]
         )
         i = fields_.argsort()
-        for ori_name in array(fields)[i]:
+        for ori_name in array(self.fields)[i]:
             # Patch for a transition
             name = ori_name
             #
@@ -1865,10 +1863,9 @@ def extract_with_mask(self, mask):
         if nb_obs == 0:
             logger.warning("Empty dataset will be created")
         else:
-            for field in self.obs.dtype.descr:
+            for field in self.fields:
                 logger.debug("Copy of field %s ...", field)
-                var = field[0]
-                new.obs[var] = self.obs[var][mask]
+                new.obs[field] = self.obs[field][mask]
         return new
 
     def scatter(self, ax, name=None, ref=None, factor=1, **kwargs):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index f1d2399b..4e0f9bcd 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -118,7 +118,7 @@ def __repr__(self):
         t0, t1 = self.period
         period = t1 - t0 + 1
         nb = self.nb_obs_by_track
-        nb_obs = self.observations.shape[0]
+        nb_obs = len(self)
         m = self.virtual.astype("bool")
         nb_m = m.sum()
         bins_t = (1, 30, 90, 180, 270, 365, 1000, 10000)
@@ -147,7 +147,7 @@ def __repr__(self):
 
     def add_distance(self):
         """Add a field of distance (m) between two consecutive observations, 0 for the last observation of each track"""
-        if "distance_next" in self.observations.dtype.descr:
+        if "distance_next" in self.fields:
             return self
         new = self.add_fields(("distance_next",))
         new["distance_next"][:1] = self.distance_to_next()
@@ -205,10 +205,9 @@ def extract_longer_eddies(self, nb_min, nb_obs, compress_id=True):
         logger.info("Selection of %d observations", nb_obs_select)
         eddies = self.__class__.new_like(self, nb_obs_select)
         eddies.sign_type = self.sign_type
-        for field in self.obs.dtype.descr:
+        for field in self.fields:
             logger.debug("Copy of field %s ...", field)
-            var = field[0]
-            eddies.obs[var] = self.obs[var][mask]
+            eddies.obs[field] = self.obs[field][mask]
         if compress_id:
             list_id = unique(eddies.obs.track)
             list_id.sort()
@@ -387,13 +386,13 @@ def extract_toward_direction(self, west=True, delta_lon=None):
 
     def extract_first_obs_in_box(self, res):
         data = empty(
-            self.obs.shape, dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")]
+            len(self), dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")]
         )
         data["lon"] = self.longitude - self.longitude % res
         data["lat"] = self.latitude - self.latitude % res
         data["track"] = self.track
         _, indexs = unique(data, return_index=True)
-        mask = zeros(self.obs.shape, dtype="bool")
+        mask = zeros(len(self), dtype="bool")
         mask[indexs] = True
         return self.extract_with_mask(mask)
 
@@ -508,10 +507,9 @@ def extract_with_mask(
         if nb_obs == 0:
             logger.info("Empty dataset will be created")
         else:
-            for field in self.obs.dtype.descr:
+            for field in self.fields:
                 logger.debug("Copy of field %s ...", field)
-                var = field[0]
-                new.obs[var] = self.obs[var][mask]
+                new.obs[field] = self.obs[field][mask]
             if compress_id:
                 list_id = unique(new.track)
                 list_id.sort()

From 3e73e63adc6c71e3f040bfbb3d9f4e7e234eb05e Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 10:56:18 +0200
Subject: [PATCH 406/441] Add hybrid method in appli

---
 src/py_eddy_tracker/appli/network.py         | 13 +++++++++++-
 src/py_eddy_tracker/observations/network.py  | 21 +++++++-------------
 src/py_eddy_tracker/observations/tracking.py | 12 ++++-------
 3 files changed, 23 insertions(+), 23 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 03c5eb35..f488168e 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -36,6 +36,11 @@ def build_network():
         action="store_true",
         help="If True, use intersection/little polygon, else intersection/union",
     )
+    parser.add_argument(
+        "--hybrid-area",
+        action="store_true",
+        help="If True, use minimal-area method if overlap is under min overlap, else intersection/union",
+    )
 
     parser.contour_intern_arg()
 
@@ -49,7 +54,7 @@ def build_network():
         memory=args.memory,
     )
     group = n.group_observations(
-        min_overlap=args.min_overlap, minimal_area=args.minimal_area
+        min_overlap=args.min_overlap, minimal_area=args.minimal_area, hybrid_area=args.hybrid_area
     )
     n.build_dataset(group).write_file(filename=args.out)
 
@@ -74,6 +79,11 @@ def divide_network():
         action="store_true",
         help="If True, use intersection/little polygon, else intersection/union",
     )
+    parser.add_argument(
+        "--hybrid-area",
+        action="store_true",
+        help="If True, use minimal-area method if overlap is under min overlap, else intersection/union",
+    )
     args = parser.parse_args()
     contour_name = TrackEddiesObservations.intern(args.intern, public_label=True)
     e = TrackEddiesObservations.load_file(
@@ -87,6 +97,7 @@ def divide_network():
             window=args.window,
             min_overlap=args.min_overlap,
             minimal_area=args.minimal_area,
+            hybrid_area=args.hybrid_area
         ),
     )
     n.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 604035e4..c395bd8d 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -1913,21 +1913,14 @@ def group_translator(nb, duos):
                 apply_replace(translate, gr_i, gr_j)
         return translate
 
-    def group_observations(self, min_overlap=0.2, minimal_area=False):
+    def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
         """Store every interaction between identifications
 
-        Parameters
-        ----------
-        minimal_area : bool, optional
-            If True, function will compute intersection/little polygon, else intersection/union, by default False
+        :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union, by default False
+        :param float min_overlap: minimum overlap area to associate observations, by default 0.2
 
-        min_overlap : float, optional
-            minimum overlap area to associate observations, by default 0.2
-
-        Returns
-        -------
-        TrackEddiesObservations
-            netcdf with interactions
+        :return: 
+        :rtype: TrackEddiesObservations
         """
 
         results, nb_obs = list(), list()
@@ -1945,9 +1938,9 @@ def group_observations(self, min_overlap=0.2, minimal_area=False):
                 ii, ij = bbox_intersection(xi, yi, xj, yj)
                 m = (
                     vertice_overlap(
-                        xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+                        xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area, min_overlap=min_overlap, **kwargs
                     )
-                    > min_overlap
+                    != 0
                 )
                 results.append((i, j, ii[m], ij[m]))
         if display_iteration:
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 4e0f9bcd..4d155605 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -720,7 +720,7 @@ def get_previous_obs(
         time_ref,
         window,
         min_overlap=0.2,
-        minimal_area=False,
+        **kwargs,
     ):
         """Backward association of observations to the segments"""
         time_cur = int_(ids["time"][i_current])
@@ -737,10 +737,8 @@ def get_previous_obs(
                 continue
             c = zeros(len(xj))
             c[ij] = vertice_overlap(
-                xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+                xi[ii], yi[ii], xj[ij], yj[ij], min_overlap=min_overlap, **kwargs
             )
-            # We remove low overlap
-            c[c < min_overlap] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]
@@ -762,7 +760,7 @@ def get_next_obs(
         time_ref,
         window,
         min_overlap=0.2,
-        minimal_area=False,
+        **kwargs
     ):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
@@ -782,10 +780,8 @@ def get_next_obs(
                 continue
             c = zeros(len(xj))
             c[ij] = vertice_overlap(
-                xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area
+                xi[ii], yi[ii], xj[ij], yj[ij], min_overlap=min_overlap, **kwargs
             )
-            # We remove low overlap
-            c[c < min_overlap] = 0
             # We get index of maximal overlap
             i = c.argmax()
             c_i = c[i]

From 943bbf3730b6192a3aa3c3f9106e5c94adc94269 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 11:01:44 +0200
Subject: [PATCH 407/441] Rewrite method to extract event for speed up

---
 src/py_eddy_tracker/observations/network.py | 236 +++++++++++---------
 1 file changed, 133 insertions(+), 103 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index c395bd8d..65b9e636 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -113,6 +113,20 @@ def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.reset_index()
     
+    def __repr__(self):
+        m_event, s_event = self.merging_event(only_index=True, triplet=True)[0], self.splitting_event(only_index=True, triplet=True)[0]
+        period = (self.period[1] - self.period[0]) / 365.25
+        nb_by_network = self.network_size()
+        big = 50_000
+        infos = [
+            f"Atlas with {self.nb_network} networks ({self.nb_network / period:0.0f} networks/year),"
+            f" {self.nb_segment} segments ({self.nb_segment / period:0.0f} segments/year), {len(self)} observations ({len(self) / period:0.0f} observations/year)",
+            f"    {m_event.size} merging ({m_event.size / period:0.0f} merging/year), {s_event.size} splitting ({s_event.size / period:0.0f} splitting/year)",
+            f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network> big].sum()} observations cumulate)",
+            f"    {nb_by_network[0]} observations in trash"
+        ]
+        return "\n".join(infos)
+
     def reset_index(self):
         self._index_network = None
         self._index_segment_track = None
@@ -313,13 +327,19 @@ def correct_close_events(self, nb_days_max=20):
         """
         Transform event where
         segment A splits from segment B, then x days after segment B merges with A
-
         to
-
         segment A splits from segment B then x days after segment A merges with B (B will be longer)
-
         These events have to last less than `nb_days_max` to be changed.
 
+ 
+                         ------------------- A
+                        /     /
+        B --------------------
+        to
+                         --A--
+                        /     \
+        B -----------------------------------
+
         :param float nb_days_max: maximum time to search for splitting-merging event
         """
 
@@ -342,7 +362,7 @@ def correct_close_events(self, nb_days_max=20):
             segments_connexion[seg] = [i, i_p, i_n]
 
         for seg in sorted(segments_connexion.keys()):
-            seg_slice, i_seg_p, i_seg_n = segments_connexion[seg]
+            seg_slice, _, i_seg_n = segments_connexion[seg]
 
             # the segment ID has to be corrected, because we may have changed it since
             seg_corrected = segment[seg_slice.stop - 1]
@@ -370,8 +390,6 @@ def correct_close_events(self, nb_days_max=20):
 
                     segments_connexion[seg_corrected][0] = my_slice
 
-        self.segment[:] = segment_copy
-        self.previous_obs[:] = previous_obs
         return self.sort()
 
     def sort(self, order=("track", "segment", "time")):
@@ -495,8 +513,10 @@ def func_backward(seg, indice):
         return self.extract_with_mask(mask)
 
     def connexions(self, multi_network=False):
-        """
-        Create dictionnary for each segment, gives the segments in interaction with
+        """Create dictionnary for each segment, gives the segments in interaction with
+
+        :param bool multi_network: use segment_track_array instead of segment, defaults to False
+        :return dict: Return dict of set, for each seg id we get set of segment which have event with him
         """
         if multi_network:
             segment = self.segment_track_array
@@ -504,26 +524,27 @@ def connexions(self, multi_network=False):
             self.only_one_network()
             segment = self.segment
         segments_connexion = dict()
-
-        def add_seg(father, child):
-            if father not in segments_connexion:
-                segments_connexion[father] = set()
-            segments_connexion[father].add(child)
-
-        previous_obs, next_obs = self.previous_obs, self.next_obs
-        for i, seg, _ in self.iter_on(segment):
-            if i.start == i.stop:
-                continue
-            i_p, i_n = previous_obs[i.start], next_obs[i.stop - 1]
-            # segment in interaction
-            p_seg, n_seg = segment[i_p], segment[i_n]
-            # Where segment are called
-            if i_p != -1:
-                add_seg(p_seg, seg)
-                add_seg(seg, p_seg)
-            if i_n != -1:
-                add_seg(n_seg, seg)
-                add_seg(seg, n_seg)
+        def add_seg(s1, s2):
+            if s1 not in segments_connexion:
+                segments_connexion[s1] = set()
+            if s2 not in segments_connexion:
+                segments_connexion[s2] = set()
+            segments_connexion[s1].add(s2), segments_connexion[s2].add(s1)
+        # Get index for each segment
+        i0, i1, _ = self.index_segment_track
+        i1 = i1 - 1
+        # Check if segment merge
+        i_next = self.next_obs[i1]
+        m_n = i_next != -1
+        # Check if segment come from splitting
+        i_previous = self.previous_obs[i0]
+        m_p = i_previous != -1
+        # For each split
+        for s1, s2 in zip(segment[i_previous[m_p]], segment[i0[m_p]]):
+            add_seg(s1, s2)
+        # For each merge
+        for s1, s2 in zip(segment[i_next[m_n]], segment[i1[m_n]]):
+            add_seg(s1, s2)
         return segments_connexion
 
     @classmethod
@@ -1089,34 +1110,22 @@ def segment_track_array(self):
         return self._segment_track_array
 
     def birth_event(self):
-        """Extract birth events.
-        Advice : individual eddies (self.track == 0) should be removed before -> apply remove_trash."""
-        # FIXME how to manage group 0
-        indices = list()
-        previous_obs = self.previous_obs
-        for i, _, _ in self.iter_on(self.segment_track_array):
-            nb = i.stop - i.start
-            if nb == 0:
-                continue
-            i_p = previous_obs[i.start]
-            if i_p == -1:
-                indices.append(i.start)
-        return self.extract_event(list(set(indices)))
+        """Extract birth events."""
+        i_start, _, _ = self.index_segment_track
+        indices = i_start[self.previous_obs[i_start] == -1]
+        if self.first_is_trash():
+            indices = indices[1:]
+        return self.extract_event(indices)
+    generation_event = birth_event
 
     def death_event(self):
-        """Extract death events.
-        Advice : individual eddies (self.track == 0) should be removed before -> apply remove_trash."""
-        # FIXME how to manage group 0
-        indices = list()
-        next_obs = self.next_obs
-        for i, _, _ in self.iter_on(self.segment_track_array):
-            nb = i.stop - i.start
-            if nb == 0:
-                continue
-            i_n = next_obs[i.stop - 1]
-            if i_n == -1:
-                indices.append(i.stop - 1)
-        return self.extract_event(list(set(indices)))
+        """Extract death events."""
+        _, i_stop, _ = self.index_segment_track
+        indices = i_stop[self.next_obs[i_stop - 1] == -1] - 1
+        if self.first_is_trash():
+            indices = indices[1:]
+        return self.extract_event(indices)
+    dissipation_event = death_event
 
     def merging_event(self, triplet=False, only_index=False):
         """Return observation after a merging event.
@@ -1124,25 +1133,26 @@ def merging_event(self, triplet=False, only_index=False):
         If `triplet=True` return the eddy after a merging event, the eddy before the merging event,
         and the eddy stopped due to merging.
         """
-        idx_m1 = list()
+        # Get start and stop for each segment, there is no empty segment
+        _, i1, _ = self.index_segment_track
+        # Get last index for each segment
+        i_stop = i1 - 1
+        # Get target index
+        idx_m1 = self.next_obs[i_stop]
+        # Get mask and valid target
+        m = idx_m1 != -1
+        idx_m1 = idx_m1[m]
+        # Sort by time event
+        i = self.time[idx_m1].argsort()
+        idx_m1 = idx_m1[i]
         if triplet:
-            idx_m0_stop = list()
-            idx_m0 = list()
-        next_obs, previous_obs = self.next_obs, self.previous_obs
-        for i, _, _ in self.iter_on(self.segment_track_array):
-            nb = i.stop - i.start
-            if nb == 0:
-                continue
-            i_n = next_obs[i.stop - 1]
-            if i_n != -1:
-                if triplet:
-                    idx_m0_stop.append(i.stop - 1)
-                    idx_m0.append(previous_obs[i_n])
-                idx_m1.append(i_n)
+            # Get obs before target
+            idx_m0_stop = i_stop[m][i]
+            idx_m0 = self.previous_obs[idx_m1].copy()
 
         if triplet:
             if only_index:
-                return array(idx_m1), array(idx_m0), array(idx_m0_stop)
+                return idx_m1, idx_m0, idx_m0_stop
             else:
                 return (
                     self.extract_event(idx_m1),
@@ -1150,7 +1160,7 @@ def merging_event(self, triplet=False, only_index=False):
                     self.extract_event(idx_m0_stop),
                 )
         else:
-            idx_m1 = list(set(idx_m1))
+            idx_m1 = unique(idx_m1)
             if only_index:
                 return idx_m1
             else:
@@ -1162,25 +1172,24 @@ def splitting_event(self, triplet=False, only_index=False):
         If `triplet=True` return the eddy before a splitting event, the eddy after the splitting event,
         and the eddy starting due to splitting.
         """
-        idx_s0 = list()
+        # Get start and stop for each segment, there is no empty segment
+        i_start, _, _ = self.index_segment_track
+        # Get target index
+        idx_s0 = self.previous_obs[i_start]
+        # Get mask and valid target
+        m = idx_s0 != -1
+        idx_s0 = idx_s0[m]
+        # Sort by time event
+        i = self.time[idx_s0].argsort()
+        idx_s0 = idx_s0[i]
         if triplet:
-            idx_s1_start = list()
-            idx_s1 = list()
-        next_obs, previous_obs = self.next_obs, self.previous_obs
-        for i, _, _ in self.iter_on(self.segment_track_array):
-            nb = i.stop - i.start
-            if nb == 0:
-                continue
-            i_p = previous_obs[i.start]
-            if i_p != -1:
-                if triplet:
-                    idx_s1_start.append(i.start)
-                    idx_s1.append(next_obs[i_p])
-                idx_s0.append(i_p)
+            # Get obs after target
+            idx_s1_start = i_start[m][i]
+            idx_s1 = self.next_obs[idx_s0].copy()
 
         if triplet:
             if only_index:
-                return array(idx_s0), array(idx_s1), array(idx_s1_start)
+                return idx_s0, idx_s1, idx_s1_start
             else:
                 return (
                     self.extract_event(idx_s0),
@@ -1189,7 +1198,7 @@ def splitting_event(self, triplet=False, only_index=False):
                 )
 
         else:
-            idx_s0 = list(set(idx_s0))
+            idx_s0 = unique(idx_s0)
             if only_index:
                 return idx_s0
             else:
@@ -1199,7 +1208,7 @@ def dissociate_network(self):
         """
         Dissociate networks with no known interaction (splitting/merging)
         """
-        tags = self.tag_segment(multi_network=True)
+        tags = self.tag_segment()
         if self.track[0] == 0:
             tags -= 1
         self.track[:] = tags[self.segment_track_array]
@@ -1345,16 +1354,22 @@ def __tag_segment(cls, seg, tag, groups, connexions):
                 # For each connexion we apply same function
                 cls.__tag_segment(seg, tag, groups, connexions)
 
-    def tag_segment(self, multi_network=False):
-        if multi_network:
-            nb = self.segment_track_array[-1] + 1
-        else:
-            nb = self.segment.max() + 1
+    def tag_segment(self):
+        """For each segment, method give a new network id, and all segment are connected
+
+        :return array: for each unique seg id, it return new network id
+        """
+        nb = self.segment_track_array[-1] + 1
         sub_group = zeros(nb, dtype="u4")
-        c = self.connexions(multi_network=multi_network)
+        c = self.connexions(multi_network=True)
         j = 1
         # for each available id
         for i in range(nb):
+            # No connexions, no need to explore
+            if i not in c:
+                sub_group[i] = j
+                j+= 1
+                continue
             # Skip if already set
             if sub_group[i] != 0:
                 continue
@@ -1363,15 +1378,31 @@ def tag_segment(self, multi_network=False):
             j += 1
         return sub_group
 
+
     def fully_connected(self):
+        """Suspicious
+        """
+        raise Exception("Must be check")
         self.only_one_network()
         return self.tag_segment().shape[0] == 1
 
+    def first_is_trash(self):
+        """Check if first network is Trash
+
+        :return bool: True if first network is trash
+        """
+        i_start, i_stop, _ = self.index_segment_track
+        sl = slice(i_start[0], i_stop[0])
+        return (self.previous_obs[sl] == -1).all() and (self.next_obs[sl] == -1).all()
+
     def remove_trash(self):
         """
         Remove the lonely eddies (only 1 obs in segment, associated network number is 0)
         """
-        return self.extract_with_mask(self.track != 0)
+        if self.first_is_trash():
+            return self.extract_with_mask(self.track != 0)
+        else:
+            return self
 
     def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         """
@@ -1551,12 +1582,11 @@ def extract_with_mask(self, mask):
             logger.debug(
                 f"{nb_obs} observations will be extracted ({nb_obs / self.shape[0]:.3%})"
             )
-            for field in self.obs.dtype.descr:
+            for field in self.fields:
                 if field in ("next_obs", "previous_obs"):
                     continue
                 logger.debug("Copy of field %s ...", field)
-                var = field[0]
-                new.obs[var] = self.obs[var][mask]
+                new.obs[field] = self.obs[field][mask]
             # n & p must be re-index
             n, p = self.next_obs[mask], self.previous_obs[mask]
             # we add 2 for -1 index return index -1
@@ -1682,9 +1712,9 @@ def date2file(julian_day):
 
                     return f"/tmp/dt_global_{date.strftime('%Y%m%d')}.nc"
         """
-
-        itb_final = -ones((self.obs.size, 2), dtype="i4")
-        ptb_final = zeros((self.obs.size, 2), dtype="i1")
+        shape = len(self), 2
+        itb_final = -ones(shape, dtype="i4")
+        ptb_final = zeros(shape, dtype="i1")
 
         t_start, t_end = int(self.period[0]), int(self.period[1])
 
@@ -1760,9 +1790,9 @@ def date2file(julian_day):
 
                     return f"/tmp/dt_global_{date.strftime('%Y%m%d')}.nc"
         """
-
-        itf_final = -ones((self.obs.size, 2), dtype="i4")
-        ptf_final = zeros((self.obs.size, 2), dtype="i1")
+        shape = len(self), 2
+        itf_final = -ones(shape, dtype="i4")
+        ptf_final = zeros(shape, dtype="i1")
 
         t_start, t_end = int(self.period[0]), int(self.period[1])
 

From 3359edaf1b2df21ab61d16297560cd9e42406629 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 13 Oct 2022 11:02:25 +0200
Subject: [PATCH 408/441] Add ref in display_color

---
 src/py_eddy_tracker/generic.py                  | 10 ++++++----
 src/py_eddy_tracker/observations/observation.py | 12 +++++++++++-
 2 files changed, 17 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 7dbbf3c3..fbc17d07 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -456,17 +456,18 @@ def wrap_longitude(x, y, ref, cut=False):
     if cut:
         indexs = list()
         nb = x.shape[0]
-        new_previous = (x[0] - ref) % 360
+
+        new_x_previous = (x[0] - ref) % 360 + ref
         x_previous = x[0]
         for i in range(1, nb):
             x_ = x[i]
-            new_x = (x_ - ref) % 360
+            new_x = (x_ - ref) % 360 + ref
             if not isnan(x_) and not isnan(x_previous):
-                d_new = new_x - new_previous
+                d_new = new_x - new_x_previous
                 d = x_ - x_previous
                 if abs(d - d_new) > 1e-5:
                     indexs.append(i)
-            x_previous, new_previous = x_, new_x
+            x_previous, new_x_previous = x_, new_x
 
         nb_indexs = len(indexs)
         new_size = nb + nb_indexs * 3
@@ -477,6 +478,7 @@ def wrap_longitude(x, y, ref, cut=False):
         for i in range(nb):
             if j < nb_indexs and i == indexs[j]:
                 j += 1
+                # FIXME need check
                 cor = 360 if x[i - 1] > x[i] else -360
                 out_x[i + i_] = (x[i] - ref) % 360 + ref - cor
                 out_y[i + i_] = y[i]
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 29fcf434..2e4abef3 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2069,11 +2069,12 @@ def format_label(self, label):
             nb_obs=len(self),
         )
 
-    def display_color(self, ax, field, intern=False, **kwargs):
+    def display_color(self, ax, field, ref=None, intern=False, **kwargs):
         """Plot colored contour of eddies
 
         :param matplotlib.axes.Axes ax: matplotlib axe used to draw
         :param str,array field: color field
+        :param float,None ref: if defined, all coordinates are wrapped with ref as western boundary
         :param bool intern: if True, draw the speed contour
         :param dict kwargs: look at :py:meth:`matplotlib.collections.LineCollection`
 
@@ -2081,6 +2082,13 @@ def display_color(self, ax, field, intern=False, **kwargs):
         """
         xname, yname = self.intern(intern)
         x, y = self[xname], self[yname]
+
+        if ref is not None:
+            # TODO : maybe buggy with global display
+            shape_out = x.shape
+            x, y = wrap_longitude(x.reshape(-1), y.reshape(-1), ref)
+            x, y = x.reshape(shape_out), y.reshape(shape_out)
+
         c = self.parse_varname(field)
         cmap = get_cmap(kwargs.pop("cmap", "Spectral_r"))
         cmin, cmax = kwargs.pop("vmin", c.min()), kwargs.pop("vmax", c.max())
@@ -2089,6 +2097,8 @@ def display_color(self, ax, field, intern=False, **kwargs):
             [create_vertice(i, j) for i, j in zip(x, y)], colors=colors, **kwargs
         )
         ax.add_collection(lines)
+        lines.cmap = cmap
+        lines.norm = Normalize(vmin=cmin, vmax=cmax)
         return lines
 
     def display(self, ax, ref=None, extern_only=False, intern_only=False, **kwargs):

From 9d408e55d5e44a874cff8774d8f26c2b98163664 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 14 Oct 2022 09:36:40 +0200
Subject: [PATCH 409/441] Add moving window in iter_on, prepare tag 3.6.1

---
 CHANGELOG.rst                                 | 13 +++
 src/py_eddy_tracker/observations/network.py   |  4 +-
 .../observations/observation.py               | 79 +++++++++++--------
 src/py_eddy_tracker/observations/tracking.py  |  3 -
 4 files changed, 60 insertions(+), 39 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index b8cad2f4..76ec911d 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -11,12 +11,25 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 Changed
 ^^^^^^^
 
+Fixed
+^^^^^
+
+Added
+^^^^^
+
+
+[3.6.1] - 2022-10-14
+--------------------
+Changed
+^^^^^^^
+
 - Rewrite particle candidate to be easily parallelize
 
 Fixed
 ^^^^^
 
 - Check strictly increasing coordinates for RegularGridDataset.
+- Grid mask is check to replace mask monovalue by 2D mask with fixed value
 
 Added
 ^^^^^
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 65b9e636..66ee362e 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -284,11 +284,11 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
             nb_day_max = 1000000000000
         mask = zeros(self.shape, dtype="bool")
         t = self.time
-        for i, b0, b1 in self.iter_on(self.track):
+        for i, _, _ in self.iter_on(self.track):
             nb = i.stop - i.start
             if nb == 0:
                 continue
-            if nb_day_min <= ptp(t[i]) <= nb_day_max:
+            if nb_day_min <= (ptp(t[i]) + 1) <= nb_day_max:
                 mask[i] = True
         return self.extract_with_mask(mask)
 
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 2e4abef3..a7663345 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -58,6 +58,7 @@
     local_to_coordinates,
     reverse_index,
     wrap_longitude,
+    window_index,
 )
 from ..poly import (
     bbox_intersection,
@@ -574,51 +575,58 @@ def __iter__(self):
         for obs in self.obs:
             yield obs
 
-    def iter_on(self, xname, bins=None):
+    def iter_on(self, xname, window=None, bins=None):
         """
         Yield observation group for each bin.
 
         :param str,array xname:
+        :param float,None window: if defined we use a moving window with value like half window
         :param array bins: bounds of each bin
         :yield array,float,float: index in self, lower bound, upper bound
 
         .. minigallery:: py_eddy_tracker.EddiesObservations.iter_on
         """
         x = self.parse_varname(xname)
-        d = x[1:] - x[:-1]
-        if bins is None:
-            bins = arange(x.min(), x.max() + 2)
-        elif not isinstance(bins, ndarray):
-            bins = array(bins)
-        nb_bins = len(bins) - 1
-
-        # Not monotonous
-        if (d < 0).any():
-            # If bins cover a small part of value
-            test, translate, x = iter_mode_reduce(x, bins)
-            # convert value in bins number
-            i = numba_digitize(x, bins) - 1
-            # Order by bins
-            i_sort = i.argsort()
-            # If in reduced mode we will translate i_sort in full array index
-            i_sort_ = translate[i_sort] if test else i_sort
-            # Bound for each bins in sorting view
-            i0, i1, _ = build_index(i[i_sort])
-            m = ~(i0 == i1)
-            i0, i1 = i0[m], i1[m]
-            for i0_, i1_ in zip(i0, i1):
-                i_bins = i[i_sort[i0_]]
-                if i_bins == -1 or i_bins == nb_bins:
-                    continue
-                yield i_sort_[i0_:i1_], bins[i_bins], bins[i_bins + 1]
+        if window is not None:
+            x0 = arange(x.min(), x.max()) if bins is None else array(bins)
+            i_ordered, first_index, last_index = window_index(x, x0, window)
+            for x_, i0, i1 in zip(x0, first_index, last_index):
+                yield i_ordered[i0: i1], x_ - window, x_ + window
         else:
-            i = numba_digitize(x, bins) - 1
-            i0, i1, _ = build_index(i)
-            m = ~(i0 == i1)
-            i0, i1 = i0[m], i1[m]
-            for i0_, i1_ in zip(i0, i1):
-                i_bins = i[i0_]
-                yield slice(i0_, i1_), bins[i_bins], bins[i_bins + 1]
+            d = x[1:] - x[:-1]
+            if bins is None:
+                bins = arange(x.min(), x.max() + 2)
+            elif not isinstance(bins, ndarray):
+                bins = array(bins)
+            nb_bins = len(bins) - 1
+
+            # Not monotonous
+            if (d < 0).any():
+                # If bins cover a small part of value
+                test, translate, x = iter_mode_reduce(x, bins)
+                # convert value in bins number
+                i = numba_digitize(x, bins) - 1
+                # Order by bins
+                i_sort = i.argsort()
+                # If in reduced mode we will translate i_sort in full array index
+                i_sort_ = translate[i_sort] if test else i_sort
+                # Bound for each bins in sorting view
+                i0, i1, _ = build_index(i[i_sort])
+                m = ~(i0 == i1)
+                i0, i1 = i0[m], i1[m]
+                for i0_, i1_ in zip(i0, i1):
+                    i_bins = i[i_sort[i0_]]
+                    if i_bins == -1 or i_bins == nb_bins:
+                        continue
+                    yield i_sort_[i0_:i1_], bins[i_bins], bins[i_bins + 1]
+            else:
+                i = numba_digitize(x, bins) - 1
+                i0, i1, _ = build_index(i)
+                m = ~(i0 == i1)
+                i0, i1 = i0[m], i1[m]
+                for i0_, i1_ in zip(i0, i1):
+                    i_bins = i[i0_]
+                    yield slice(i0_, i1_), bins[i_bins], bins[i_bins + 1]
 
     def align_on(self, other, var_name="time", all_ref=False, **kwargs):
         """
@@ -2420,6 +2428,9 @@ def create_particles(self, step, intern=True):
         xname, yname = self.intern(intern)
         return create_meshed_particles(self[xname], self[yname], step)
 
+    def empty_dataset(self):
+        return self.new_like(self, 0)
+
 
 @njit(cache=True)
 def grid_count_(grid, i, j):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 4d155605..152239cf 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -437,9 +437,6 @@ def extract_with_length(self, bounds):
             raise Exception("One bound must be positive")
         return self.extract_with_mask(track_mask.repeat(self.nb_obs_by_track))
 
-    def empty_dataset(self):
-        return self.new_like(self, 0)
-
     def loess_filter(self, half_window, xfield, yfield, inplace=True):
         track = self.track
         x = self.obs[xfield]

From f52783d4227a775af27c7611624a7a1ce341c98c Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 18 Oct 2022 14:57:26 +0200
Subject: [PATCH 410/441] Modify remove dead end speed up extract_segment

---
 CHANGELOG.rst                               |   2 +
 src/py_eddy_tracker/observations/network.py | 123 ++++++++++++--------
 2 files changed, 76 insertions(+), 49 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 76ec911d..f8eee72f 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -11,6 +11,8 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 Changed
 ^^^^^^^
 
+- Remove dead end method for network will move dead end to the trash and not remove observations
+
 Fixed
 ^^^^^
 
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 66ee362e..f11a180b 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -117,13 +117,14 @@ def __repr__(self):
         m_event, s_event = self.merging_event(only_index=True, triplet=True)[0], self.splitting_event(only_index=True, triplet=True)[0]
         period = (self.period[1] - self.period[0]) / 365.25
         nb_by_network = self.network_size()
+        nb_trash = 0 if self.ref_index != 0 else nb_by_network[0]
         big = 50_000
         infos = [
             f"Atlas with {self.nb_network} networks ({self.nb_network / period:0.0f} networks/year),"
             f" {self.nb_segment} segments ({self.nb_segment / period:0.0f} segments/year), {len(self)} observations ({len(self) / period:0.0f} observations/year)",
             f"    {m_event.size} merging ({m_event.size / period:0.0f} merging/year), {s_event.size} splitting ({s_event.size / period:0.0f} splitting/year)",
             f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network> big].sum()} observations cumulate)",
-            f"    {nb_by_network[0]} observations in trash"
+            f"    {nb_trash} observations in trash"
         ]
         return "\n".join(infos)
 
@@ -369,26 +370,29 @@ def correct_close_events(self, nb_days_max=20):
 
             # we keep the real segment number
             seg_corrected_copy = segment_copy[seg_slice.stop - 1]
+            if i_seg_n == -1:
+                continue
 
+            # if segment is split
             n_seg = segment[i_seg_n]
 
-            # if segment is split
-            if i_seg_n != -1:
-                seg2_slice, i2_seg_p, i2_seg_n = segments_connexion[n_seg]
-                p2_seg = segment[i2_seg_p]
-
-                # if it merges on the first in a certain time
-                if (p2_seg == seg_corrected) and (
-                    _time[i_seg_n] - _time[i2_seg_p] < nb_days_max
-                ):
-                    my_slice = slice(i_seg_n, seg2_slice.stop)
-                    # correct the factice segment
-                    segment[my_slice] = seg_corrected
-                    # correct the good segment
-                    segment_copy[my_slice] = seg_corrected_copy
-                    previous_obs[i_seg_n] = seg_slice.stop - 1
-
-                    segments_connexion[seg_corrected][0] = my_slice
+            seg2_slice, i2_seg_p, _ = segments_connexion[n_seg]
+            if i2_seg_p == -1:
+                continue
+            p2_seg = segment[i2_seg_p]
+
+            # if it merges on the first in a certain time
+            if (p2_seg == seg_corrected) and (
+                _time[i_seg_n] - _time[i2_seg_p] < nb_days_max
+            ):
+                my_slice = slice(i_seg_n, seg2_slice.stop)
+                # correct the factice segment
+                segment[my_slice] = seg_corrected
+                # correct the good segment
+                segment_copy[my_slice] = seg_corrected_copy
+                previous_obs[i_seg_n] = seg_slice.stop - 1
+
+                segments_connexion[seg_corrected][0] = my_slice
 
         return self.sort()
 
@@ -789,6 +793,8 @@ def display_timeline(
                     colors_mode=colors_mode,
                 )
             )
+        if field is not None:
+            field = self.parse_varname(field)
         for i, b0, b1 in self.iter_on("segment"):
             x = self.time[i]
             if x.shape[0] == 0:
@@ -797,9 +803,9 @@ def display_timeline(
                 y = b0 * ones(x.shape)
             else:
                 if method == "all":
-                    y = self[field][i] * factor
+                    y = field[i] * factor
                 else:
-                    y = self[field][i].mean() * ones(x.shape) * factor
+                    y = field[i].mean() * ones(x.shape) * factor
 
             if colors_mode == "roll":
                 _color = self.get_color(j)
@@ -825,7 +831,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
 
         if field is not None and method != "all":
             for i, b0, _ in self.iter_on("segment"):
-                y = self[field][i]
+                y = self.parse_varname(field)[i]
                 if y.shape[0] != 0:
                     y_seg[b0] = y.mean() * factor
         mappables = dict()
@@ -851,7 +857,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                 y0 = b0
             else:
                 if method == "all":
-                    y0 = self[field][i.stop - 1] * factor
+                    y0 = self.parse_varname(field)[i.stop - 1] * factor
                 else:
                     y0 = y_seg[b0]
             if i_n != -1:
@@ -860,7 +866,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                     seg_next
                     if field is None
                     else (
-                        self[field][i_n] * factor
+                        self.parse_varname(field)[i_n] * factor
                         if method == "all"
                         else y_seg[seg_next]
                     )
@@ -876,7 +882,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
                     seg_previous
                     if field is None
                     else (
-                        self[field][i_p] * factor
+                        self.parse_varname(field)[i_p] * factor
                         if method == "all"
                         else y_seg[seg_previous]
                     )
@@ -1446,35 +1452,54 @@ def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         .. warning::
             It will remove short segment that splits from then merges with the same segment
         """
-        segments_keep = list()
         connexions = self.connexions(multi_network=True)
-        t = self.time
-        for i, b0, _ in self.iter_on(self.segment_track_array):
-            if mask and mask[i].any():
-                segments_keep.append(b0)
-                continue
-            nb = i.stop - i.start
-            dt = t[i.stop - 1] - t[i.start]
-            if (nb < nobs or dt < ndays) and len(connexions.get(b0, tuple())) < 2:
-                continue
-            segments_keep.append(b0)
+        i0, i1, _ = self.index_segment_track
+        dt = self.time[i1 -1] - self.time[i0] + 1
+        nb = i1 - i0
+        m = (dt >= ndays) * (nb >= nobs)
+        nb_connexions = array([len(connexions.get(i, tuple())) for i in where(~m)[0]])
+        m[~m] = nb_connexions >= 2
+        segments_keep = where(m)[0]
+        if mask is not None:
+            segments_keep = unique(concatenate((segments_keep, self.segment_track_array[mask])))
+        # get mask for selected obs
+        m = ~self.segment_mask(segments_keep)
+        self.track[m] = 0
+        self.segment[m] = 0
+        self.previous_obs[m] = -1
+        self.previous_cost[m] = 0
+        self.next_obs[m] = -1
+        self.next_cost[m] = 0
+        
+        m_previous = m[self.previous_obs]
+        self.previous_obs[m_previous] = -1
+        self.previous_cost[m_previous] = 0
+        m_next = m[self.next_obs]
+        self.next_obs[m_next] = -1
+        self.next_cost[m_next] = 0
+        
+        self.sort()
         if recursive > 0:
-            return self.extract_segment(segments_keep, absolute=True).remove_dead_end(
-                nobs, ndays, recursive - 1
-            )
-        return self.extract_segment(segments_keep, absolute=True)
+            self.remove_dead_end(nobs, ndays, recursive - 1)
 
     def extract_segment(self, segments, absolute=False):
-        mask = ones(self.shape, dtype="bool")
-        segments = array(segments)
-        values = self.segment_track_array if absolute else "segment"
-        keep = ones(values.max() + 1, dtype="bool")
-        v = unique(values)
-        keep[v] = in1d(v, segments)
-        for i, b0, b1 in self.iter_on(values):
-            if not keep[b0]:
-                mask[i] = False
-        return self.extract_with_mask(mask)
+        """Extract given segments
+
+        :param array,tuple,list segments: list of segment to extract
+        :param bool absolute: keep for compatibility, defaults to False
+        :return NetworkObservations: Return observations from selected segment
+        """
+        if not absolute:
+            raise Exception("Not implemented")
+        return self.extract_with_mask(self.segment_mask(segments))
+
+    def segment_mask(self, segments):
+        """Get mask from list of segment
+
+        :param list,array segments: absolute id of segment
+        """
+        return generate_mask_from_ids(array(segments), len(self), *self.index_segment_track)
+
 
     def get_mask_with_period(self, period):
         """

From c455bc6e68a73cb4745eac157481bcb77760b012 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 18 Oct 2022 15:04:34 +0200
Subject: [PATCH 411/441] black & isort

---
 doc/conf.py                                   | 14 +--
 examples/06_grid_manipulation/pet_advect.py   | 11 ++-
 examples/06_grid_manipulation/pet_lavd.py     |  4 +-
 examples/07_cube_manipulation/pet_fsle_med.py |  4 +-
 .../pet_particles_drift.py                    |  4 +-
 examples/16_network/pet_follow_particle.py    |  8 +-
 src/py_eddy_tracker/appli/network.py          |  6 +-
 src/py_eddy_tracker/dataset/grid.py           | 12 ++-
 src/py_eddy_tracker/observations/groups.py    | 62 ++++++++++---
 src/py_eddy_tracker/observations/network.py   | 93 +++++++++++++------
 .../observations/observation.py               | 16 ++--
 src/py_eddy_tracker/observations/tracking.py  |  6 +-
 src/py_eddy_tracker/poly.py                   | 10 +-
 tests/test_generic.py                         |  4 +-
 14 files changed, 181 insertions(+), 73 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index ccf26e4e..0844d585 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -96,9 +96,9 @@
 master_doc = "index"
 
 # General information about the project.
-project = u"py-eddy-tracker"
-copyright = u"2019, A. Delepoulle & E. Mason"
-author = u"A. Delepoulle & E. Mason"
+project = "py-eddy-tracker"
+copyright = "2019, A. Delepoulle & E. Mason"
+author = "A. Delepoulle & E. Mason"
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -272,8 +272,8 @@
     (
         master_doc,
         "py-eddy-tracker.tex",
-        u"py-eddy-tracker Documentation",
-        u"A. Delepoulle \\& E. Mason",
+        "py-eddy-tracker Documentation",
+        "A. Delepoulle \\& E. Mason",
         "manual",
     ),
 ]
@@ -304,7 +304,7 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, "py-eddy-tracker", u"py-eddy-tracker Documentation", [author], 1)
+    (master_doc, "py-eddy-tracker", "py-eddy-tracker Documentation", [author], 1)
 ]
 
 # If true, show URL addresses after external links.
@@ -320,7 +320,7 @@
     (
         master_doc,
         "py-eddy-tracker",
-        u"py-eddy-tracker Documentation",
+        "py-eddy-tracker Documentation",
         author,
         "py-eddy-tracker",
         "One line description of project.",
diff --git a/examples/06_grid_manipulation/pet_advect.py b/examples/06_grid_manipulation/pet_advect.py
index ab2a0e14..d7cc67e9 100644
--- a/examples/06_grid_manipulation/pet_advect.py
+++ b/examples/06_grid_manipulation/pet_advect.py
@@ -139,7 +139,9 @@ def update(i_frame, t_step):
 )
 for time_step in (10800, 21600, 43200, 86400):
     x, y = x0.copy(), y0.copy()
-    kw_advect = dict(nb_step=int(50 * 86400 / time_step), time_step=time_step, u_name="u", v_name="v")
+    kw_advect = dict(
+        nb_step=int(50 * 86400 / time_step), time_step=time_step, u_name="u", v_name="v"
+    )
     g.advect(x, y, **kw_advect).__next__()
     g.advect(x, y, **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
@@ -158,7 +160,12 @@ def update(i_frame, t_step):
 time_step = 10800
 for duration in (5, 50, 100):
     x, y = x0.copy(), y0.copy()
-    kw_advect = dict(nb_step=int(duration * 86400 / time_step), time_step=time_step, u_name="u", v_name="v")
+    kw_advect = dict(
+        nb_step=int(duration * 86400 / time_step),
+        time_step=time_step,
+        u_name="u",
+        v_name="v",
+    )
     g.advect(x, y, **kw_advect).__next__()
     g.advect(x, y, **kw_advect, backward=True).__next__()
     d = ((x - x0) ** 2 + (y - y0) ** 2) ** 0.5
diff --git a/examples/06_grid_manipulation/pet_lavd.py b/examples/06_grid_manipulation/pet_lavd.py
index 639db99e..a3ea846e 100644
--- a/examples/06_grid_manipulation/pet_lavd.py
+++ b/examples/06_grid_manipulation/pet_lavd.py
@@ -110,7 +110,9 @@ def save(self, *args, **kwargs):
 step_by_day = 3
 # Compute step of advection every 4h
 nb_step = 2
-kw_p = dict(nb_step=nb_step, time_step=86400 / step_by_day / nb_step, u_name="u", v_name="v")
+kw_p = dict(
+    nb_step=nb_step, time_step=86400 / step_by_day / nb_step, u_name="u", v_name="v"
+)
 # Start a generator which at each iteration return new position at next time step
 particule = g.advect(x, y, **kw_p, rk4=True)
 
diff --git a/examples/07_cube_manipulation/pet_fsle_med.py b/examples/07_cube_manipulation/pet_fsle_med.py
index a949ec77..9d78ea02 100644
--- a/examples/07_cube_manipulation/pet_fsle_med.py
+++ b/examples/07_cube_manipulation/pet_fsle_med.py
@@ -142,7 +142,9 @@ def build_triplet(x, y, step=0.02):
 used = zeros(x.shape[0], dtype="bool")
 
 # advection generator
-kw = dict(t_init=t0, nb_step=1, backward=backward, mask_particule=used, u_name="u", v_name="v")
+kw = dict(
+    t_init=t0, nb_step=1, backward=backward, mask_particule=used, u_name="u", v_name="v"
+)
 p = c.advect(x, y, time_step=86400 / time_step_by_days, **kw)
 
 # We check at each step of advection if particle distance is over `dist_max`
diff --git a/examples/07_cube_manipulation/pet_particles_drift.py b/examples/07_cube_manipulation/pet_particles_drift.py
index c61ced5b..3d7aa1a4 100644
--- a/examples/07_cube_manipulation/pet_particles_drift.py
+++ b/examples/07_cube_manipulation/pet_particles_drift.py
@@ -20,7 +20,7 @@
     "longitude",
     "latitude",
     "time",
-    unset=True
+    unset=True,
 )
 
 # %%
@@ -43,4 +43,4 @@
 ax.plot(x, y, lw=3)
 ax.set_title("10 days particle paths")
 ax.set_xlim(31, 35), ax.set_ylim(32, 34.5)
-ax.grid()
\ No newline at end of file
+ax.grid()
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 356c7da4..9f5458eb 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -95,7 +95,13 @@ def save(self, *args, **kwargs):
 a.txt.set_position((25, 31))
 
 step = 0.25
-kw_p = dict(nb_step=2, time_step=86400 * step * 0.5, t_init=t_snapshot - 2 * step, u_name="u", v_name="v")
+kw_p = dict(
+    nb_step=2,
+    time_step=86400 * step * 0.5,
+    t_init=t_snapshot - 2 * step,
+    u_name="u",
+    v_name="v",
+)
 
 mappables = dict()
 particules = c.advect(x, y, **kw_p)
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index f488168e..33d50b2a 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -54,7 +54,9 @@ def build_network():
         memory=args.memory,
     )
     group = n.group_observations(
-        min_overlap=args.min_overlap, minimal_area=args.minimal_area, hybrid_area=args.hybrid_area
+        min_overlap=args.min_overlap,
+        minimal_area=args.minimal_area,
+        hybrid_area=args.hybrid_area,
     )
     n.build_dataset(group).write_file(filename=args.out)
 
@@ -97,7 +99,7 @@ def divide_network():
             window=args.window,
             min_overlap=args.min_overlap,
             minimal_area=args.minimal_area,
-            hybrid_area=args.hybrid_area
+            hybrid_area=args.hybrid_area,
         ),
     )
     n.write_file(filename=args.out)
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index c73f99d9..9345bf45 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1980,7 +1980,15 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
             self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
         )
 
-    def uv_for_advection(self, u_name=None, v_name=None, time_step=600, h_name=None, backward=False, factor=1):
+    def uv_for_advection(
+        self,
+        u_name=None,
+        v_name=None,
+        time_step=600,
+        h_name=None,
+        backward=False,
+        factor=1,
+    ):
         """
         Get U,V to be used in degrees with precomputed time step
 
@@ -1990,7 +1998,7 @@ def uv_for_advection(self, u_name=None, v_name=None, time_step=600, h_name=None,
         :param int time_step: Number of second for each advection
         """
         if h_name is not None:
-            u_name, v_name = 'u', 'v'
+            u_name, v_name = "u", "v"
             if u_name not in self.vars:
                 self.add_uv(h_name)
                 self.vars.pop(h_name, None)
diff --git a/src/py_eddy_tracker/observations/groups.py b/src/py_eddy_tracker/observations/groups.py
index 54ae013c..81929e1e 100644
--- a/src/py_eddy_tracker/observations/groups.py
+++ b/src/py_eddy_tracker/observations/groups.py
@@ -351,7 +351,15 @@ def keep_tracks_by_date(self, date, nb_days):
         return self.extract_with_mask(mask)
 
     def particle_candidate_atlas(
-        self, cube, space_step, dt, start_intern=False, end_intern=False, callback_coherence=None, finalize_coherence=None, **kwargs
+        self,
+        cube,
+        space_step,
+        dt,
+        start_intern=False,
+        end_intern=False,
+        callback_coherence=None,
+        finalize_coherence=None,
+        **kwargs
     ):
         """Select particles within eddies, advect them, return target observation and associated percentages
 
@@ -383,7 +391,9 @@ def particle_candidate_atlas(
         kw_coherence = dict(space_step=space_step, dt=dt, c=cube)
         kw_coherence.update(kwargs)
         for t in times:
-            logger.info("Coherence for time step : %s in [%s:%s]", t, times[0], times[-1])
+            logger.info(
+                "Coherence for time step : %s in [%s:%s]", t, times[0], times[-1]
+            )
             # Get index for origin
             i = t - t_start
             indexs0 = i_sort[i_start[i] : i_end[i]]
@@ -393,7 +403,19 @@ def particle_candidate_atlas(
             if indexs0.size == 0 or indexs1.size == 0:
                 continue
 
-            results.append(callback_coherence(self, i_target, pct, indexs0, indexs1, start_intern, end_intern, t_start=t, **kw_coherence))
+            results.append(
+                callback_coherence(
+                    self,
+                    i_target,
+                    pct,
+                    indexs0,
+                    indexs1,
+                    start_intern,
+                    end_intern,
+                    t_start=t,
+                    **kw_coherence
+                )
+            )
             indexs[results[-1]] = indexs0, indexs1
 
         if finalize_coherence is not None:
@@ -401,7 +423,17 @@ def particle_candidate_atlas(
         return i_target, pct
 
     @classmethod
-    def fill_coherence(cls, network, i_targets, percents, i_origin, i_end, start_intern, end_intern, **kwargs):
+    def fill_coherence(
+        cls,
+        network,
+        i_targets,
+        percents,
+        i_origin,
+        i_end,
+        start_intern,
+        end_intern,
+        **kwargs
+    ):
         """_summary_
 
         :param array i_targets: global target
@@ -412,21 +444,29 @@ def fill_coherence(cls, network, i_targets, percents, i_origin, i_end, start_int
         :param bool end_intern: Use intern or extern contour at end of advection
         """
         # Get contour data
-        contours_start = [network[label][i_origin] for label in cls.intern(start_intern)]
+        contours_start = [
+            network[label][i_origin] for label in cls.intern(start_intern)
+        ]
         contours_end = [network[label][i_end] for label in cls.intern(end_intern)]
         # Compute local coherence
-        i_local_targets, local_percents = particle_candidate_step(contours_start=contours_start, contours_end=contours_end,**kwargs)
+        i_local_targets, local_percents = particle_candidate_step(
+            contours_start=contours_start, contours_end=contours_end, **kwargs
+        )
         # Store
-        cls.merge_particle_result(i_targets, percents, i_local_targets, local_percents, i_origin, i_end)
-    
+        cls.merge_particle_result(
+            i_targets, percents, i_local_targets, local_percents, i_origin, i_end
+        )
+
     @staticmethod
-    def merge_particle_result(i_targets, percents, i_local_targets, local_percents, i_origin, i_end):
+    def merge_particle_result(
+        i_targets, percents, i_local_targets, local_percents, i_origin, i_end
+    ):
         """Copy local result in merged result with global indexation
 
         :param array i_targets: global target
-        :param array percents: 
+        :param array percents:
         :param array i_local_targets: local index target
-        :param array local_percents: 
+        :param array local_percents:
         :param array i_origin: indices of origins
         :param array i_end: indices of ends
         """
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index f11a180b..6b3102ed 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -16,15 +16,14 @@
     bool_,
     concatenate,
     empty,
-    in1d,
+    nan,
     ones,
+    percentile,
     uint16,
     uint32,
     unique,
     where,
     zeros,
-    percentile,
-    nan
 )
 import zarr
 
@@ -112,9 +111,12 @@ class NetworkObservations(GroupEddiesObservations):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.reset_index()
-    
+
     def __repr__(self):
-        m_event, s_event = self.merging_event(only_index=True, triplet=True)[0], self.splitting_event(only_index=True, triplet=True)[0]
+        m_event, s_event = (
+            self.merging_event(only_index=True, triplet=True)[0],
+            self.splitting_event(only_index=True, triplet=True)[0],
+        )
         period = (self.period[1] - self.period[0]) / 365.25
         nb_by_network = self.network_size()
         nb_trash = 0 if self.ref_index != 0 else nb_by_network[0]
@@ -124,7 +126,7 @@ def __repr__(self):
             f" {self.nb_segment} segments ({self.nb_segment / period:0.0f} segments/year), {len(self)} observations ({len(self) / period:0.0f} observations/year)",
             f"    {m_event.size} merging ({m_event.size / period:0.0f} merging/year), {s_event.size} splitting ({s_event.size / period:0.0f} splitting/year)",
             f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network> big].sum()} observations cumulate)",
-            f"    {nb_trash} observations in trash"
+            f"    {nb_trash} observations in trash",
         ]
         return "\n".join(infos)
 
@@ -332,7 +334,7 @@ def correct_close_events(self, nb_days_max=20):
         segment A splits from segment B then x days after segment A merges with B (B will be longer)
         These events have to last less than `nb_days_max` to be changed.
 
- 
+
                          ------------------- A
                         /     /
         B --------------------
@@ -528,12 +530,14 @@ def connexions(self, multi_network=False):
             self.only_one_network()
             segment = self.segment
         segments_connexion = dict()
+
         def add_seg(s1, s2):
             if s1 not in segments_connexion:
                 segments_connexion[s1] = set()
             if s2 not in segments_connexion:
                 segments_connexion[s2] = set()
             segments_connexion[s1].add(s2), segments_connexion[s2].add(s1)
+
         # Get index for each segment
         i0, i1, _ = self.index_segment_track
         i1 = i1 - 1
@@ -1122,6 +1126,7 @@ def birth_event(self):
         if self.first_is_trash():
             indices = indices[1:]
         return self.extract_event(indices)
+
     generation_event = birth_event
 
     def death_event(self):
@@ -1131,6 +1136,7 @@ def death_event(self):
         if self.first_is_trash():
             indices = indices[1:]
         return self.extract_event(indices)
+
     dissipation_event = death_event
 
     def merging_event(self, triplet=False, only_index=False):
@@ -1374,7 +1380,7 @@ def tag_segment(self):
             # No connexions, no need to explore
             if i not in c:
                 sub_group[i] = j
-                j+= 1
+                j += 1
                 continue
             # Skip if already set
             if sub_group[i] != 0:
@@ -1384,10 +1390,8 @@ def tag_segment(self):
             j += 1
         return sub_group
 
-
     def fully_connected(self):
-        """Suspicious
-        """
+        """Suspicious"""
         raise Exception("Must be check")
         self.only_one_network()
         return self.tag_segment().shape[0] == 1
@@ -1454,14 +1458,16 @@ def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         """
         connexions = self.connexions(multi_network=True)
         i0, i1, _ = self.index_segment_track
-        dt = self.time[i1 -1] - self.time[i0] + 1
+        dt = self.time[i1 - 1] - self.time[i0] + 1
         nb = i1 - i0
         m = (dt >= ndays) * (nb >= nobs)
         nb_connexions = array([len(connexions.get(i, tuple())) for i in where(~m)[0]])
         m[~m] = nb_connexions >= 2
         segments_keep = where(m)[0]
         if mask is not None:
-            segments_keep = unique(concatenate((segments_keep, self.segment_track_array[mask])))
+            segments_keep = unique(
+                concatenate((segments_keep, self.segment_track_array[mask]))
+            )
         # get mask for selected obs
         m = ~self.segment_mask(segments_keep)
         self.track[m] = 0
@@ -1470,14 +1476,14 @@ def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         self.previous_cost[m] = 0
         self.next_obs[m] = -1
         self.next_cost[m] = 0
-        
+
         m_previous = m[self.previous_obs]
         self.previous_obs[m_previous] = -1
         self.previous_cost[m_previous] = 0
         m_next = m[self.next_obs]
         self.next_obs[m_next] = -1
         self.next_cost[m_next] = 0
-        
+
         self.sort()
         if recursive > 0:
             self.remove_dead_end(nobs, ndays, recursive - 1)
@@ -1498,8 +1504,9 @@ def segment_mask(self, segments):
 
         :param list,array segments: absolute id of segment
         """
-        return generate_mask_from_ids(array(segments), len(self), *self.index_segment_track)
-
+        return generate_mask_from_ids(
+            array(segments), len(self), *self.index_segment_track
+        )
 
     def get_mask_with_period(self, period):
         """
@@ -1849,7 +1856,7 @@ def date2file(julian_day):
                 n_days=n_days,
                 contour_start=contour_start,
                 contour_end=contour_end,
-                **kwargs
+                **kwargs,
             )
             logger.info(
                 (
@@ -1974,7 +1981,7 @@ def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
         :param bool minimal_area: If True, function will compute intersection/little polygon, else intersection/union, by default False
         :param float min_overlap: minimum overlap area to associate observations, by default 0.2
 
-        :return: 
+        :return:
         :rtype: TrackEddiesObservations
         """
 
@@ -1993,7 +2000,13 @@ def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
                 ii, ij = bbox_intersection(xi, yi, xj, yj)
                 m = (
                     vertice_overlap(
-                        xi[ii], yi[ii], xj[ij], yj[ij], minimal_area=minimal_area, min_overlap=min_overlap, **kwargs
+                        xi[ii],
+                        yi[ii],
+                        xj[ij],
+                        yj[ij],
+                        minimal_area=minimal_area,
+                        min_overlap=min_overlap,
+                        **kwargs,
                     )
                     != 0
                 )
@@ -2038,9 +2051,12 @@ def build_dataset(self, group, raw_data=True):
             print()
         eddies.track[new_i] = group
         return eddies
-    
+
+
 @njit(cache=True)
-def get_percentile_on_following_obs(i, indexs, percents, follow_obs, t, segment, i_target, window, q=50, nb_min=1):
+def get_percentile_on_following_obs(
+    i, indexs, percents, follow_obs, t, segment, i_target, window, q=50, nb_min=1
+):
     """Get stat on a part of segment close of an event
 
     :param int i: index to follow
@@ -2070,8 +2086,22 @@ def get_percentile_on_following_obs(i, indexs, percents, follow_obs, t, segment,
         return nan
     return percentile(percent_target[:j], q)
 
+
 @njit(cache=True)
-def get_percentile_around_event(i, i1, i2, ind, pct, follow_obs, t, segment, window=10, follow_parent=False, q=50, nb_min=1):
+def get_percentile_around_event(
+    i,
+    i1,
+    i2,
+    ind,
+    pct,
+    follow_obs,
+    t,
+    segment,
+    window=10,
+    follow_parent=False,
+    q=50,
+    nb_min=1,
+):
     """Get stat around event
 
     :param array[int] i: Indexs of target
@@ -2094,14 +2124,23 @@ def get_percentile_around_event(i, i1, i2, ind, pct, follow_obs, t, segment, win
     for j, (i_, i1_, i2_) in enumerate(zip(i, i1, i2)):
         if follow_parent:
             # We follow parent
-            stat1[j] = get_percentile_on_following_obs(i_, ind, pct, follow_obs, t, segment, i1_, window, q, nb_min)
-            stat2[j] = get_percentile_on_following_obs(i_, ind, pct, follow_obs, t, segment, i2_, window, q, nb_min)
+            stat1[j] = get_percentile_on_following_obs(
+                i_, ind, pct, follow_obs, t, segment, i1_, window, q, nb_min
+            )
+            stat2[j] = get_percentile_on_following_obs(
+                i_, ind, pct, follow_obs, t, segment, i2_, window, q, nb_min
+            )
         else:
             # We follow child
-            stat1[j] = get_percentile_on_following_obs(i1_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min)
-            stat2[j] = get_percentile_on_following_obs(i2_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min)
+            stat1[j] = get_percentile_on_following_obs(
+                i1_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min
+            )
+            stat2[j] = get_percentile_on_following_obs(
+                i2_, ind, pct, follow_obs, t, segment, i_, window, q, nb_min
+            )
     return stat1, stat2
 
+
 @njit(cache=True)
 def get_next_index(gr):
     """Return for each obs index the new position to join all groups"""
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index a7663345..df60474c 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -57,8 +57,8 @@
     hist_numba,
     local_to_coordinates,
     reverse_index,
-    wrap_longitude,
     window_index,
+    wrap_longitude,
 )
 from ..poly import (
     bbox_intersection,
@@ -448,9 +448,7 @@ def add_fields(self, fields=list(), array_fields=list()):
             ),
             track_array_variables=self.track_array_variables,
             array_variables=list(concatenate((self.array_variables, array_fields))),
-            only_variables=list(
-                concatenate((self.fields, fields, array_fields))
-            ),
+            only_variables=list(concatenate((self.fields, fields, array_fields))),
             raw_data=self.raw_data,
         )
         new.sign_type = self.sign_type
@@ -591,7 +589,7 @@ def iter_on(self, xname, window=None, bins=None):
             x0 = arange(x.min(), x.max()) if bins is None else array(bins)
             i_ordered, first_index, last_index = window_index(x, x0, window)
             for x_, i0, i1 in zip(x0, first_index, last_index):
-                yield i_ordered[i0: i1], x_ - window, x_ + window
+                yield i_ordered[i0:i1], x_ - window, x_ + window
         else:
             d = x[1:] - x[:-1]
             if bins is None:
@@ -1595,9 +1593,7 @@ def to_netcdf(self, handler, **kwargs):
             handler.track_array_variables = self.track_array_variables
             handler.array_variables = ",".join(self.array_variables)
         # Iter on variables to create:
-        fields_ = array(
-            [VAR_DESCR[field]["nc_name"] for field in self.fields]
-        )
+        fields_ = array([VAR_DESCR[field]["nc_name"] for field in self.fields])
         i = fields_.argsort()
         for ori_name in array(self.fields)[i]:
             # Patch for a transition
@@ -1676,7 +1672,9 @@ def get_filters_zarr(name):
         content = VAR_DESCR.get(name)
         filters = list()
         store_dtype = content["output_type"]
-        scale_factor, add_offset = content.get("scale_factor", None), content.get("add_offset", None)
+        scale_factor, add_offset = content.get("scale_factor", None), content.get(
+            "add_offset", None
+        )
         if scale_factor is not None or add_offset is not None:
             if add_offset is None:
                 add_offset = 0
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 152239cf..164f9724 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -385,9 +385,7 @@ def extract_toward_direction(self, west=True, delta_lon=None):
         return self.extract_with_mask(m)
 
     def extract_first_obs_in_box(self, res):
-        data = empty(
-            len(self), dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")]
-        )
+        data = empty(len(self), dtype=[("lon", "f4"), ("lat", "f4"), ("track", "i4")])
         data["lon"] = self.longitude - self.longitude % res
         data["lat"] = self.latitude - self.latitude % res
         data["track"] = self.track
@@ -757,7 +755,7 @@ def get_next_obs(
         time_ref,
         window,
         min_overlap=0.2,
-        **kwargs
+        **kwargs,
     ):
         """Forward association of observations to the segments"""
         time_max = time_e.shape[0] - 1
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index deabd3ea..99d701db 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -431,7 +431,9 @@ def merge(x, y):
     return concatenate(x), concatenate(y)
 
 
-def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False, hybrid_area=False, min_overlap=0):
+def vertice_overlap(
+    x0, y0, x1, y1, minimal_area=False, p1_area=False, hybrid_area=False, min_overlap=0
+):
     r"""
     Return percent of overlap for each item.
 
@@ -484,7 +486,11 @@ def vertice_overlap(x0, y0, x1, y1, minimal_area=False, p1_area=False, hybrid_ar
         if cost_ >= min_overlap:
             cost[i] = cost_
         else:
-            if hybrid_area and cost_ != 0 and (intersection / min(p0_area_, p1_area_)) > .99:
+            if (
+                hybrid_area
+                and cost_ != 0
+                and (intersection / min(p0_area_, p1_area_)) > 0.99
+            ):
                 cost[i] = cost_
             else:
                 cost[i] = 0
diff --git a/tests/test_generic.py b/tests/test_generic.py
index 29cb64b7..ee2d7881 100644
--- a/tests/test_generic.py
+++ b/tests/test_generic.py
@@ -33,7 +33,7 @@ def test_cumsum_by_track():
 
 
 def test_wrapping():
-    y = x = arange(-5,5, dtype='f4')
+    y = x = arange(-5, 5, dtype="f4")
     x_, _ = wrap_longitude(x, y, ref=-10)
     assert (x_ == x).all()
     x_, _ = wrap_longitude(x, y, ref=1)
@@ -42,7 +42,7 @@ def test_wrapping():
     assert (x_[:6] == x[:6] + 360).all()
     x_, _ = wrap_longitude(x, y, ref=1, cut=True)
     assert x.size + 3 == x_.size
-    assert (x_[6 + 3:] == x[6:]).all()
+    assert (x_[6 + 3 :] == x[6:]).all()
     assert (x_[:7] == x[:7] + 360).all()
 
     # FIXME Need evolution in wrap_longitude

From 7fc19dfb1c439bd5ff19a544c6cf1aa2f0a6548d Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 18 Jan 2023 16:48:12 +0100
Subject: [PATCH 412/441] test python 3.10 binder (#186)

Update setup.cfg
---
 environment.yml | 2 +-
 setup.cfg       | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/environment.yml b/environment.yml
index 4ea8f840..fcf7c4b2 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,7 +3,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python=3.8
+  - python=3.10
   - ffmpeg
   - pip:
     - -r requirements.txt
diff --git a/setup.cfg b/setup.cfg
index eb88b6f9..7e773ae8 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -5,8 +5,8 @@ column_limit = 100
 [flake8]
 max-line-length = 140
 ignore =
-    E203, # whitespace before ':'
-    W503, # line break before binary operator
+    E203,
+    W503,
 exclude=
     build
     doc

From 9085eacbbddb178025b456fe1e2137c64b1dacf0 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 8 Feb 2023 10:07:09 +0100
Subject: [PATCH 413/441] - Add period to cube - Add some methods for display -
 Speed up overlap

---
 README.md                                     |   5 +
 src/py_eddy_tracker/appli/network.py          |   5 +
 src/py_eddy_tracker/dataset/grid.py           |  85 +++++---------
 src/py_eddy_tracker/generic.py                |  28 +----
 src/py_eddy_tracker/observations/network.py   |  58 +++++-----
 .../observations/observation.py               | 107 +++++++-----------
 src/py_eddy_tracker/poly.py                   |  23 ++--
 7 files changed, 133 insertions(+), 178 deletions(-)

diff --git a/README.md b/README.md
index 98a16b62..0cc34894 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,5 @@
 [![PyPI version](https://badge.fury.io/py/pyEddyTracker.svg)](https://badge.fury.io/py/pyEddyTracker)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6333988.svg)](https://doi.org/10.5281/zenodo.6333988)
 [![Documentation Status](https://readthedocs.org/projects/py-eddy-tracker/badge/?version=stable)](https://py-eddy-tracker.readthedocs.io/en/stable/?badge=stable)
 [![Gitter](https://badges.gitter.im/py-eddy-tracker/community.svg)](https://gitter.im/py-eddy-tracker/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AntSimi/py-eddy-tracker/master?urlpath=lab/tree/notebooks/python_module/)
@@ -6,6 +7,10 @@
 
 # README #
 
+### How to cite code? ###
+
+Zenodo provide DOI for each tagged version, [all DOI are available here](https://doi.org/10.5281/zenodo.6333988)
+
 ### Method ###
 
 Method was described in :
diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index 33d50b2a..b8c2da51 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -128,6 +128,9 @@ def subset_network():
         action="store_true",
         help="Remove trash (network id == 0)",
     )
+    parser.add_argument(
+        "-i", "--ids", nargs="+", type=int, help="List of network which will be extract"
+    )
     parser.add_argument(
         "-p",
         "--period",
@@ -138,6 +141,8 @@ def subset_network():
     )
     args = parser.parse_args()
     n = NetworkObservations.load_file(args.input, raw_data=True)
+    if args.ids is not None:
+        n = n.networks(args.ids)
     if args.length is not None:
         n = n.longer_than(*args.length)
     if args.remove_dead_end is not None:
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 9345bf45..043a5244 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2,45 +2,20 @@
 """
 Class to load and manipulate RegularGrid and UnRegularGrid
 """
-from datetime import datetime
 import logging
+from datetime import datetime
 
 from cv2 import filter2D
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
-from numba import njit, prange, types as numba_types
-from numpy import (
-    arange,
-    array,
-    ceil,
-    concatenate,
-    cos,
-    deg2rad,
-    empty,
-    errstate,
-    exp,
-    float_,
-    floor,
-    histogram2d,
-    int_,
-    interp,
-    isnan,
-    linspace,
-    ma,
-    mean as np_mean,
-    meshgrid,
-    nan,
-    nanmean,
-    ones,
-    percentile,
-    pi,
-    radians,
-    round_,
-    sin,
-    sinc,
-    where,
-    zeros,
-)
+from numba import njit, prange
+from numba import types as numba_types
+from numpy import (arange, array, ceil, concatenate, cos, deg2rad, empty,
+                   errstate, exp, float_, floor, histogram2d, int_, interp,
+                   isnan, linspace, ma)
+from numpy import mean as np_mean
+from numpy import (meshgrid, nan, nanmean, ones, percentile, pi, radians,
+                   round_, sin, sinc, where, zeros)
 from pint import UnitRegistry
 from scipy.interpolate import RectBivariateSpline, interp1d
 from scipy.ndimage import gaussian_filter
@@ -49,26 +24,15 @@
 from scipy.special import j1
 
 from .. import VAR_DESCR
+from ..data import get_demo_path
 from ..eddy_feature import Amplitude, Contours
-from ..generic import (
-    bbox_indice_regular,
-    coordinates_to_local,
-    distance,
-    interp2d_geo,
-    local_to_coordinates,
-    nearest_grd_indice,
-    uniform_resample,
-)
+from ..generic import (bbox_indice_regular, coordinates_to_local, distance,
+                       interp2d_geo, local_to_coordinates, nearest_grd_indice,
+                       uniform_resample)
 from ..observations.observation import EddiesObservations
-from ..poly import (
-    create_vertice,
-    fit_circle,
-    get_pixel_in_regular,
-    poly_area,
-    poly_contain_poly,
-    visvalingam,
-    winding_number_poly,
-)
+from ..poly import (create_vertice, fit_circle, get_pixel_in_regular,
+                    poly_area, poly_contain_poly, visvalingam,
+                    winding_number_poly)
 
 logger = logging.getLogger("pet")
 
@@ -1318,9 +1282,13 @@ def compute_pixel_path(self, x0, y0, x1, y1):
             self.x_size,
         )
 
-    def clean_land(self):
+    def clean_land(self, name):
         """Function to remove all land pixel"""
-        pass
+        mask_land = self.__class__(get_demo_path("mask_1_60.nc"), "lon", "lat")
+        x,y = meshgrid(self.x_c, self.y_c)
+        m = mask_land.interp('mask', x.reshape(-1), y.reshape(-1), 'nearest')
+        data = self.grid(name)
+        self.vars[name] = ma.array(data, mask=m.reshape(x.shape).T)
 
     def is_circular(self):
         """Check if the grid is circular"""
@@ -2392,6 +2360,15 @@ def __iter__(self):
         for _, d in self.datasets:
             yield d
 
+    @property
+    def time(self):
+        return array([t for t, _ in self.datasets])
+
+    @property
+    def period(self):
+        t = self.time
+        return t.min(), t.max()
+
     def __getitem__(self, item):
         for t, d in self.datasets:
             if t == item:
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index fbc17d07..29815acd 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -3,27 +3,11 @@
 Tool method which use mostly numba
 """
 
-from numba import njit, prange, types as numba_types
-from numpy import (
-    absolute,
-    arcsin,
-    arctan2,
-    bool_,
-    cos,
-    empty,
-    floor,
-    histogram,
-    interp,
-    isnan,
-    linspace,
-    nan,
-    ones,
-    pi,
-    radians,
-    sin,
-    where,
-    zeros,
-)
+from numba import njit, prange
+from numba import types as numba_types
+from numpy import (absolute, arcsin, arctan2, bool_, cos, empty, floor,
+                   histogram, interp, isnan, linspace, nan, ones, pi, radians,
+                   sin, where, zeros)
 
 
 @njit(cache=True)
@@ -426,7 +410,7 @@ def split_line(x, y, i):
     """
     nb_jump = len(where(i[1:] - i[:-1] != 0)[0])
     nb_value = x.shape[0]
-    final_size = (nb_jump - 1) + nb_value
+    final_size = nb_jump + nb_value
     new_x = empty(final_size, dtype=x.dtype)
     new_y = empty(final_size, dtype=y.dtype)
     new_j = 0
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 6b3102ed..4ffed94c 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -2,37 +2,26 @@
 """
 Class to create network of observations
 """
-from glob import glob
 import logging
 import time
+from glob import glob
 
 import netCDF4
-from numba import njit, types as nb_types
-from numba.typed import List
-from numpy import (
-    arange,
-    array,
-    bincount,
-    bool_,
-    concatenate,
-    empty,
-    nan,
-    ones,
-    percentile,
-    uint16,
-    uint32,
-    unique,
-    where,
-    zeros,
-)
 import zarr
+from numba import njit
+from numba import types as nb_types
+from numba.typed import List
+from numpy import (arange, array, bincount, bool_, concatenate, empty, nan,
+                   ones, percentile, uint16, uint32, unique, where, zeros)
 
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
-from .groups import GroupEddiesObservations, get_missing_indices, particle_candidate
+from .groups import (GroupEddiesObservations, get_missing_indices,
+                     particle_candidate)
 from .observation import EddiesObservations
-from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
+from .tracking import (TrackEddiesObservations, track_loess_filter,
+                       track_median_filter)
 
 logger = logging.getLogger("pet")
 
@@ -280,6 +269,15 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         """
         Select network on time duration
 
+        :param int nb_day_min: Minimal number of days covered by one network, if negative -> not used
+        :param int nb_day_max: Maximal number of days covered by one network, if negative -> not used
+        """
+        return self.extract_with_mask(self.mask_longer_than(nb_day_min, nb_day_max))
+
+    def mask_longer_than(self, nb_day_min=-1, nb_day_max=-1):
+        """
+        Select network on time duration
+
         :param int nb_day_min: Minimal number of days covered by one network, if negative -> not used
         :param int nb_day_max: Maximal number of days covered by one network, if negative -> not used
         """
@@ -293,7 +291,7 @@ def longer_than(self, nb_day_min=-1, nb_day_max=-1):
                 continue
             if nb_day_min <= (ptp(t[i]) + 1) <= nb_day_max:
                 mask[i] = True
-        return self.extract_with_mask(mask)
+        return mask
 
     @classmethod
     def from_split_network(cls, group_dataset, indexs, **kwargs):
@@ -800,7 +798,7 @@ def display_timeline(
         if field is not None:
             field = self.parse_varname(field)
         for i, b0, b1 in self.iter_on("segment"):
-            x = self.time[i]
+            x = self.time_datetime64[i]
             if x.shape[0] == 0:
                 continue
             if field is None:
@@ -831,7 +829,7 @@ def event_timeline(self, ax, field=None, method=None, factor=1, colors_mode="rol
 
         # TODO : fill mappables dict
         y_seg = dict()
-        _time = self.time
+        _time = self.time_datetime64
 
         if field is not None and method != "all":
             for i, b0, _ in self.iter_on("segment"):
@@ -1011,7 +1009,7 @@ def scatter_timeline(
         if "c" not in kwargs:
             v = self.parse_varname(name)
             kwargs["c"] = v * factor
-        mappables["scatter"] = ax.scatter(self.time, y, **kwargs)
+        mappables["scatter"] = ax.scatter(self.time_datetime64, y, **kwargs)
         return mappables
 
     def event_map(self, ax, **kwargs):
@@ -1244,7 +1242,7 @@ def networks_mask(self, id_networks, segment=False):
 
     def networks(self, id_networks):
         return self.extract_with_mask(
-            generate_mask_from_ids(id_networks, self.track.size, *self.index_network)
+            generate_mask_from_ids(array(id_networks), self.track.size, *self.index_network)
         )
 
     @property
@@ -1423,10 +1421,10 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
         :param dict kwargs: keyword arguments for Axes.plot
         :return: a list of matplotlib mappables
         """
-        nb_colors = 0
-        if color_cycle is not None:
-            kwargs = kwargs.copy()
-            nb_colors = len(color_cycle)
+        kwargs = kwargs.copy()
+        if color_cycle is None:
+            color_cycle = self.COLORS
+        nb_colors = len(color_cycle)
         mappables = list()
         if "label" in kwargs:
             kwargs["label"] = self.format_label(kwargs["label"])
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index df60474c..72031608 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2,76 +2,38 @@
 """
 Base class to manage eddy observation
 """
+import logging
 from datetime import datetime
 from io import BufferedReader, BytesIO
-import logging
 from tarfile import ExFileObject
 from tokenize import TokenError
 
-from Polygon import Polygon
+import packaging.version
+import zarr
 from matplotlib.cm import get_cmap
 from matplotlib.collections import LineCollection, PolyCollection
 from matplotlib.colors import Normalize
 from netCDF4 import Dataset
-from numba import njit, types as numba_types
-from numpy import (
-    absolute,
-    arange,
-    array,
-    array_equal,
-    ceil,
-    concatenate,
-    cos,
-    digitize,
-    empty,
-    errstate,
-    floor,
-    histogram,
-    histogram2d,
-    in1d,
-    isnan,
-    linspace,
-    ma,
-    nan,
-    ndarray,
-    ones,
-    percentile,
-    radians,
-    sin,
-    unique,
-    where,
-    zeros,
-)
-import packaging.version
+from numba import njit
+from numba import types as numba_types
+from numpy import (absolute, arange, array, array_equal, ceil, concatenate,
+                   cos, datetime64, digitize, empty, errstate, floor,
+                   histogram, histogram2d, in1d, isnan, linspace, ma, nan,
+                   ndarray, ones, percentile, radians, sin, unique, where,
+                   zeros)
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
-import zarr
+from Polygon import Polygon
 
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
-from ..generic import (
-    bbox_indice_regular,
-    build_index,
-    distance,
-    distance_grid,
-    flatten_line_matrix,
-    hist_numba,
-    local_to_coordinates,
-    reverse_index,
-    window_index,
-    wrap_longitude,
-)
-from ..poly import (
-    bbox_intersection,
-    close_center,
-    convexs,
-    create_meshed_particles,
-    create_vertice,
-    get_pixel_in_regular,
-    insidepoly,
-    poly_indexs,
-    reduce_size,
-    vertice_overlap,
-)
+from ..generic import (bbox_indice_regular, build_index, distance,
+                       distance_grid, flatten_line_matrix, hist_numba,
+                       local_to_coordinates, reverse_index, window_index,
+                       wrap_longitude)
+from ..poly import (bbox_intersection, close_center, convexs,
+                    create_meshed_particles, create_vertice,
+                    get_pixel_in_regular, insidepoly, poly_indexs, reduce_size,
+                    vertice_overlap)
 
 logger = logging.getLogger("pet")
 
@@ -1844,6 +1806,11 @@ def extract_with_area(self, area, **kwargs):
         mask *= (lon > lon0) * (lon < area["urcrnrlon"])
         return self.extract_with_mask(mask, **kwargs)
 
+    @property
+    def time_datetime64(self):
+        dt = (datetime64('1970-01-01') - datetime64('1950-01-01')).astype('i8')
+        return (self.time - dt).astype('datetime64[D]')
+
     def time_sub_sample(self, t0, time_step):
         """
         Time sub sampling
@@ -2351,7 +2318,7 @@ def grid_stat(self, bins, varname, data=None):
         return regular_grid
 
     def interp_grid(
-        self, grid_object, varname, method="center", dtype=None, intern=None
+        self, grid_object, varname, i=None, method="center", dtype=None, intern=None
     ):
         """
         Interpolate a grid on a center or contour with mean, min or max method
@@ -2359,6 +2326,8 @@ def interp_grid(
         :param grid_object: Handler of grid to interp
         :type grid_object: py_eddy_tracker.dataset.grid.RegularGridDataset
         :param str varname: Name of variable to use
+        :param array[bool,int],None i:
+            Index or mask to subset observations, it could avoid to build a specific dataset.
         :param str method: 'center', 'mean', 'max', 'min', 'nearest'
         :param str dtype: if None we use var dtype
         :param bool intern: Use extern or intern contour
@@ -2366,19 +2335,25 @@ def interp_grid(
         .. minigallery:: py_eddy_tracker.EddiesObservations.interp_grid
         """
         if method in ("center", "nearest"):
-            return grid_object.interp(varname, self.longitude, self.latitude, method)
+            x, y = self.longitude, self.latitude
+            if i is not None:
+                x, y = x[i], y[i]
+            return grid_object.interp(varname, x,y , method)
         elif method in ("min", "max", "mean", "count"):
             x0 = grid_object.x_bounds[0]
             x_name, y_name = self.intern(False if intern is None else intern)
             x_ref = ((self.longitude - x0) % 360 + x0 - 180).reshape(-1, 1)
             x, y = (self[x_name] - x_ref) % 360 + x_ref, self[y_name]
+            if i is not None:
+                x, y = x[i], y[i]
             grid = grid_object.grid(varname)
-            result = empty(self.shape, dtype=grid.dtype if dtype is None else dtype)
+            result = empty(x.shape[0], dtype=grid.dtype if dtype is None else dtype)
             min_method = method == "min"
             grid_stat(
                 grid_object.x_c,
                 grid_object.y_c,
                 -grid if min_method else grid,
+                grid.mask,
                 x,
                 y,
                 result,
@@ -2545,13 +2520,14 @@ def grid_box_stat(x_c, y_c, grid, mask, x, y, value, circular=False, method=50):
 
 
 @njit(cache=True)
-def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
+def grid_stat(x_c, y_c, grid, mask, x, y, result, circular=False, method="mean"):
     """
     Compute the mean or the max of the grid for each contour
 
     :param array_like x_c: the grid longitude coordinates
     :param array_like y_c: the grid latitude coordinates
     :param array_like grid: grid value
+    :param array[bool] mask: mask for invalid value
     :param array_like x: longitude of contours
     :param array_like y: latitude of contours
     :param array_like result: return values
@@ -2577,9 +2553,12 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
             result[elt] = i.shape[0]
         elif mean_method:
             v_sum = 0
+            nb_ = 0
             for i_, j_ in zip(i, j):
+                if mask[i_, j_]:
+                    continue
                 v_sum += grid[i_, j_]
-            nb_ = i.shape[0]
+                nb_ += 1
             # FIXME : how does it work on grid bound,
             if nb_ == 0:
                 result[elt] = nan
@@ -2588,7 +2567,9 @@ def grid_stat(x_c, y_c, grid, x, y, result, circular=False, method="mean"):
         elif max_method:
             v_max = -1e40
             for i_, j_ in zip(i, j):
-                v_max = max(v_max, grid[i_, j_])
+                values = grid[i_, j_]
+                # FIXME must use mask
+                v_max = max(v_max, values)
             result[elt] = v_max
 
 
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 99d701db..217b1d18 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -5,10 +5,12 @@
 
 import heapq
 
-from Polygon import Polygon
-from numba import njit, prange, types as numba_types
-from numpy import arctan, array, concatenate, empty, nan, ones, pi, where, zeros
+from numba import njit, prange
+from numba import types as numba_types
+from numpy import (arctan, array, concatenate, empty, nan, ones, pi, where,
+                   zeros)
 from numpy.linalg import lstsq
+from Polygon import Polygon
 
 from .generic import build_index
 
@@ -278,7 +280,10 @@ def close_center(x0, y0, x1, y1, delta=0.1):
     for i0 in range(nb0):
         xi0, yi0 = x0[i0], y0[i0]
         for i1 in range(nb1):
-            if abs(x1[i1] - xi0) > delta:
+            d_x = x1[i1] - xi0
+            if abs(d_x) > 180:
+                d_x = (d_x + 180) % 360 - 180
+            if abs(d_x) > delta:
                 continue
             if abs(y1[i1] - yi0) > delta:
                 continue
@@ -474,22 +479,22 @@ def vertice_overlap(
         if intersection == 0:
             cost[i] = 0
             continue
-        p0_area_, p1_area_ = p0.area(), p1.area()
+        p0_area, p1_area = p0.area(), p1.area()
         if minimal_area:
-            cost_ = intersection / min(p0_area_, p1_area_)
+            cost_ = intersection / min(p0_area, p1_area)
         # we divide intersection with p1
         elif p1_area:
-            cost_ = intersection / p1_area_
+            cost_ = intersection / p1_area
         # we divide intersection with polygon merging result from 0 to 1
         else:
-            cost_ = intersection / (p0_area_ + p1_area_ - intersection)
+            cost_ = intersection / (p0_area + p1_area - intersection)
         if cost_ >= min_overlap:
             cost[i] = cost_
         else:
             if (
                 hybrid_area
                 and cost_ != 0
-                and (intersection / min(p0_area_, p1_area_)) > 0.99
+                and (intersection / min(p0_area, p1_area)) > 0.99
             ):
                 cost[i] = cost_
             else:

From e7d138de2f2e6718c4cd4d461c31a58a5b169271 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 May 2023 10:52:06 +0200
Subject: [PATCH 414/441] change version for module

---
 doc/environment.yml | 1 +
 environment.yml     | 1 +
 requirements.txt    | 8 ++++----
 3 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index 9d882911..89fcbe9c 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -4,6 +4,7 @@ channels:
 dependencies:
   - python=3.10
   - ffmpeg
+  - pip
   - pip:
     - sphinx-gallery
     - sphinx_rtd_theme
diff --git a/environment.yml b/environment.yml
index fcf7c4b2..12ce70e7 100644
--- a/environment.yml
+++ b/environment.yml
@@ -4,6 +4,7 @@ channels:
   - defaults
 dependencies:
   - python=3.10
+  - pip
   - ffmpeg
   - pip:
     - -r requirements.txt
diff --git a/requirements.txt b/requirements.txt
index 497344e6..4c8af099 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,11 @@
 matplotlib
 opencv-python
-pint==0.18
+pint
 polygon3
 pyyaml
 requests
 scipy
 zarr
-netCDF4<1.6
-numpy<1.23
-numba<0.56
\ No newline at end of file
+netCDF4
+numpy
+numba
\ No newline at end of file

From 17288159048ffbb599ca1287cb53bbc29f94f272 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 May 2023 11:10:51 +0200
Subject: [PATCH 415/441] minimal version of python : 3.10

---
 .github/workflows/python-app.yml | 2 +-
 setup.py                         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index bbc0662c..00dbcc95 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -11,7 +11,7 @@ jobs:
       matrix:
         # os: [ubuntu-latest, macos-latest, windows-latest]
         os: [ubuntu-latest, windows-latest]
-        python_version: [3.7, 3.8, 3.9, '3.10']
+        python_version: ['3.10']
     name: Run py eddy tracker build tests
     runs-on: ${{ matrix.os }}
     defaults:
diff --git a/setup.py b/setup.py
index 6b18bcbb..7b836763 100644
--- a/setup.py
+++ b/setup.py
@@ -10,7 +10,7 @@
 
 setup(
     name="pyEddyTracker",
-    python_requires=">=3.7",
+    python_requires=">=3.10",
     version=versioneer.get_version(),
     cmdclass=versioneer.get_cmdclass(),
     description="Py-Eddy-Tracker libraries",

From 1b9ab25576a5e96b9987374687dd5436f93b7ed9 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 May 2023 12:25:47 +0200
Subject: [PATCH 416/441] numba correction with masked array

---
 doc/spectrum.rst                              |   1 -
 examples/16_network/pet_atlas.py              |   4 +-
 examples/16_network/pet_follow_particle.py    |   3 +-
 examples/16_network/pet_relative.py           |   8 +-
 .../16_network/pet_replay_segmentation.py     |   1 -
 src/py_eddy_tracker/dataset/grid.py           | 118 +++++++++++++-----
 .../old_tracker_reference.py                  |   1 -
 src/py_eddy_tracker/generic.py                |  32 +++--
 src/py_eddy_tracker/observations/network.py   |  83 +++++++++---
 .../observations/observation.py               |  87 +++++++++----
 src/py_eddy_tracker/poly.py                   |   8 +-
 src/py_eddy_tracker/tracking.py               |   4 +-
 12 files changed, 256 insertions(+), 94 deletions(-)

diff --git a/doc/spectrum.rst b/doc/spectrum.rst
index 5a42cbec..f96e30a0 100644
--- a/doc/spectrum.rst
+++ b/doc/spectrum.rst
@@ -28,7 +28,6 @@ Compute and display spectrum
     ax.set_title("Spectrum")
     ax.set_xlabel("km")
     for name_area, area in areas.items():
-
         lon_spec, lat_spec = raw.spectrum_lonlat("adt", area=area)
         mappable = ax.loglog(*lat_spec, label="lat %s raw" % name_area)[0]
         ax.loglog(
diff --git a/examples/16_network/pet_atlas.py b/examples/16_network/pet_atlas.py
index 6927f169..48b374e2 100644
--- a/examples/16_network/pet_atlas.py
+++ b/examples/16_network/pet_atlas.py
@@ -129,7 +129,9 @@ def update_axes(ax, mappable=None):
 # Merging in networks longer than 10 days, with dead end remove (shorter than 10 observations)
 # --------------------------------------------------------------------------------------------
 ax = start_axes("")
-merger = n10.remove_dead_end(nobs=10).merging_event()
+n10_ = n10.copy()
+n10_.remove_dead_end(nobs=10)
+merger = n10_.merging_event()
 g_10_merging = merger.grid_count(bins)
 m = g_10_merging.display(ax, **kw_time, vmin=0, vmax=1)
 update_axes(ax, m).set_label("Pixel used in % of time")
diff --git a/examples/16_network/pet_follow_particle.py b/examples/16_network/pet_follow_particle.py
index 9f5458eb..6815fb6e 100644
--- a/examples/16_network/pet_follow_particle.py
+++ b/examples/16_network/pet_follow_particle.py
@@ -41,7 +41,8 @@ def save(self, *args, **kwargs):
 # %%
 n = NetworkObservations.load_file(get_demo_path("network_med.nc")).network(651)
 n = n.extract_with_mask((n.time >= 20180) * (n.time <= 20269))
-n = n.remove_dead_end(nobs=0, ndays=10)
+n.remove_dead_end(nobs=0, ndays=10)
+n = n.remove_trash()
 n.numbering_segment()
 c = GridCollection.from_netcdf_cube(
     get_demo_path("dt_med_allsat_phy_l4_2005T2.nc"),
diff --git a/examples/16_network/pet_relative.py b/examples/16_network/pet_relative.py
index f5e8bc92..dd97b538 100644
--- a/examples/16_network/pet_relative.py
+++ b/examples/16_network/pet_relative.py
@@ -127,7 +127,9 @@
 # Remove dead branch
 # ------------------
 # Remove all tiny segments with less than N obs which didn't join two segments
-n_clean = n.remove_dead_end(nobs=5, ndays=10)
+n_clean = n.copy()
+n_clean.remove_dead_end(nobs=5, ndays=10)
+n_clean = n_clean.remove_trash()
 fig = plt.figure(figsize=(15, 12))
 ax = fig.add_axes([0.04, 0.54, 0.90, 0.40])
 ax.set_title(f"Original network ({n.infos()})")
@@ -261,7 +263,9 @@
 # --------------------
 
 # Get a simplified network
-n = n2.remove_dead_end(nobs=50, recursive=1)
+n = n2.copy()
+n.remove_dead_end(nobs=50, recursive=1)
+n = n.remove_trash()
 n.numbering_segment()
 # %%
 # Only a map can be tricky to understand, with a timeline it's easier!
diff --git a/examples/16_network/pet_replay_segmentation.py b/examples/16_network/pet_replay_segmentation.py
index ecb0970d..d909af7f 100644
--- a/examples/16_network/pet_replay_segmentation.py
+++ b/examples/16_network/pet_replay_segmentation.py
@@ -163,7 +163,6 @@ def get_obs(dataset):
 for b0, b1 in [
     (datetime(i, 1, 1), datetime(i, 12, 31)) for i in (2004, 2005, 2006, 2007, 2008)
 ]:
-
     ref, delta = datetime(1950, 1, 1), 20
     b0_, b1_ = (b0 - ref).days, (b1 - ref).days
     ax = timeline_axes()
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 043a5244..7e9a04be 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -2,20 +2,45 @@
 """
 Class to load and manipulate RegularGrid and UnRegularGrid
 """
-import logging
 from datetime import datetime
+import logging
 
 from cv2 import filter2D
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
-from numba import njit, prange
-from numba import types as numba_types
-from numpy import (arange, array, ceil, concatenate, cos, deg2rad, empty,
-                   errstate, exp, float_, floor, histogram2d, int_, interp,
-                   isnan, linspace, ma)
-from numpy import mean as np_mean
-from numpy import (meshgrid, nan, nanmean, ones, percentile, pi, radians,
-                   round_, sin, sinc, where, zeros)
+from numba import njit, prange, types as numba_types
+from numpy import (
+    arange,
+    array,
+    ceil,
+    concatenate,
+    cos,
+    deg2rad,
+    empty,
+    errstate,
+    exp,
+    float_,
+    floor,
+    histogram2d,
+    int_,
+    interp,
+    isnan,
+    linspace,
+    ma,
+    mean as np_mean,
+    meshgrid,
+    nan,
+    nanmean,
+    ones,
+    percentile,
+    pi,
+    radians,
+    round_,
+    sin,
+    sinc,
+    where,
+    zeros,
+)
 from pint import UnitRegistry
 from scipy.interpolate import RectBivariateSpline, interp1d
 from scipy.ndimage import gaussian_filter
@@ -26,13 +51,25 @@
 from .. import VAR_DESCR
 from ..data import get_demo_path
 from ..eddy_feature import Amplitude, Contours
-from ..generic import (bbox_indice_regular, coordinates_to_local, distance,
-                       interp2d_geo, local_to_coordinates, nearest_grd_indice,
-                       uniform_resample)
+from ..generic import (
+    bbox_indice_regular,
+    coordinates_to_local,
+    distance,
+    interp2d_geo,
+    local_to_coordinates,
+    nearest_grd_indice,
+    uniform_resample,
+)
 from ..observations.observation import EddiesObservations
-from ..poly import (create_vertice, fit_circle, get_pixel_in_regular,
-                    poly_area, poly_contain_poly, visvalingam,
-                    winding_number_poly)
+from ..poly import (
+    create_vertice,
+    fit_circle,
+    get_pixel_in_regular,
+    poly_area,
+    poly_contain_poly,
+    visvalingam,
+    winding_number_poly,
+)
 
 logger = logging.getLogger("pet")
 
@@ -86,7 +123,7 @@ def value_on_regular_contour(x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size
 
 @njit(cache=True)
 def mean_on_regular_contour(
-    x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size=None, nan_remove=False
+    x_g, y_g, z_g, m_g, vertices, num_fac=2, fixed_size=-1, nan_remove=False
 ):
     x_val, y_val = vertices[:, 0], vertices[:, 1]
     x_new, y_new = uniform_resample(x_val, y_val, num_fac, fixed_size)
@@ -406,8 +443,8 @@ def setup_coordinates(self):
         x_name, y_name = self.coordinates
         if self.is_centered:
             # logger.info("Grid center")
-            self.x_c = self.vars[x_name].astype("float64")
-            self.y_c = self.vars[y_name].astype("float64")
+            self.x_c = array(self.vars[x_name].astype("float64"))
+            self.y_c = array(self.vars[y_name].astype("float64"))
 
             self.x_bounds = concatenate((self.x_c, (2 * self.x_c[-1] - self.x_c[-2],)))
             self.y_bounds = concatenate((self.y_c, (2 * self.y_c[-1] - self.y_c[-2],)))
@@ -419,8 +456,8 @@ def setup_coordinates(self):
             self.y_bounds[-1] -= d_y[-1] / 2
 
         else:
-            self.x_bounds = self.vars[x_name].astype("float64")
-            self.y_bounds = self.vars[y_name].astype("float64")
+            self.x_bounds = array(self.vars[x_name].astype("float64"))
+            self.y_bounds = array(self.vars[y_name].astype("float64"))
 
             if len(self.x_dim) == 1:
                 self.x_c = self.x_bounds.copy()
@@ -757,7 +794,7 @@ def eddy_identification(
 
                     # Test of the rotating sense: cyclone or anticyclone
                     if has_value(
-                        data, i_x_in, i_y_in, cvalues, below=anticyclonic_search
+                        data.data, i_x_in, i_y_in, cvalues, below=anticyclonic_search
                     ):
                         continue
 
@@ -788,7 +825,6 @@ def eddy_identification(
                         contour.reject = 4
                         continue
                     if reset_centroid:
-
                         if self.is_circular():
                             centi = self.normalize_x_indice(reset_centroid[0])
                         else:
@@ -1285,8 +1321,8 @@ def compute_pixel_path(self, x0, y0, x1, y1):
     def clean_land(self, name):
         """Function to remove all land pixel"""
         mask_land = self.__class__(get_demo_path("mask_1_60.nc"), "lon", "lat")
-        x,y = meshgrid(self.x_c, self.y_c)
-        m = mask_land.interp('mask', x.reshape(-1), y.reshape(-1), 'nearest')
+        x, y = meshgrid(self.x_c, self.y_c)
+        m = mask_land.interp("mask", x.reshape(-1), y.reshape(-1), "nearest")
         data = self.grid(name)
         self.vars[name] = ma.array(data, mask=m.reshape(x.shape).T)
 
@@ -1310,7 +1346,7 @@ def get_step_in_km(self, lat, wave_length):
         min_wave_length = max(step_x_km, step_y_km) * 2
         if wave_length < min_wave_length:
             logger.error(
-                "wave_length too short for resolution, must be > %d km",
+                "Wave_length too short for resolution, must be > %d km",
                 ceil(min_wave_length),
             )
             raise Exception()
@@ -1361,6 +1397,24 @@ def kernel_lanczos(self, lat, wave_length, order=1):
         kernel[dist_norm > order] = 0
         return self.finalize_kernel(kernel, order, half_x_pt, half_y_pt)
 
+    def kernel_loess(self, lat, wave_length, order=1):
+        """
+        https://fr.wikipedia.org/wiki/R%C3%A9gression_locale
+        """
+        order = self.check_order(order)
+        half_x_pt, half_y_pt, dist_norm = self.estimate_kernel_shape(
+            lat, wave_length, order
+        )
+
+        def inc_func(xdist):
+            f = zeros(xdist.size)
+            f[abs(xdist) < 1] = 1
+            return f
+
+        kernel = (1 - abs(dist_norm) ** 3) ** 3
+        kernel[abs(dist_norm) > order] = 0
+        return self.finalize_kernel(kernel, order, half_x_pt, half_y_pt)
+
     def kernel_bessel(self, lat, wave_length, order=1):
         """wave_length in km
         order must be int
@@ -1638,11 +1692,13 @@ def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=Fal
                 data1[-schema:] = nan
                 data2[:schema] = nan
 
-        d = self.EARTH_RADIUS * 2 * pi / 360 * 2 * schema
+        # Distance for one degree
+        d = self.EARTH_RADIUS * 2 * pi / 360
+        # Mulitply by 2 step
         if vertical:
-            d *= self.ystep
+            d *= self.ystep * 2 * schema
         else:
-            d *= self.xstep * cos(deg2rad(self.y_c))
+            d *= self.xstep * cos(deg2rad(self.y_c)) * 2 * schema
         return (data1 - data2) / d
 
     def compute_stencil(
@@ -1855,7 +1911,7 @@ def speed_coef_mean(self, contour):
         return mean_on_regular_contour(
             self.x_c,
             self.y_c,
-            self._speed_ev,
+            self._speed_ev.data,
             self._speed_ev.mask,
             contour.vertices,
             nan_remove=True,
@@ -1945,7 +2001,7 @@ def interp(self, grid_name, lons, lats, method="bilinear"):
         g = self.grid(grid_name)
         m = self.get_mask(g)
         return interp2d_geo(
-            self.x_c, self.y_c, g, m, lons, lats, nearest=method == "nearest"
+            self.x_c, self.y_c, g.data, m, lons, lats, nearest=method == "nearest"
         )
 
     def uv_for_advection(
@@ -1981,7 +2037,7 @@ def uv_for_advection(
             u = -u
             v = -v
         m = u.mask + v.mask
-        return u, v, m
+        return u.data, v.data, m
 
     def advect(self, x, y, u_name, v_name, nb_step=10, rk4=True, **kw):
         """
diff --git a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
index 41e02db9..b0d4abfa 100644
--- a/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
+++ b/src/py_eddy_tracker/featured_tracking/old_tracker_reference.py
@@ -8,7 +8,6 @@
 
 
 class CheltonTracker(Model):
-
     __slots__ = tuple()
 
     GROUND = RegularGridDataset(
diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 29815acd..612def68 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -3,11 +3,27 @@
 Tool method which use mostly numba
 """
 
-from numba import njit, prange
-from numba import types as numba_types
-from numpy import (absolute, arcsin, arctan2, bool_, cos, empty, floor,
-                   histogram, interp, isnan, linspace, nan, ones, pi, radians,
-                   sin, where, zeros)
+from numba import njit, prange, types as numba_types
+from numpy import (
+    absolute,
+    arcsin,
+    arctan2,
+    bool_,
+    cos,
+    empty,
+    floor,
+    histogram,
+    interp,
+    isnan,
+    linspace,
+    nan,
+    ones,
+    pi,
+    radians,
+    sin,
+    where,
+    zeros,
+)
 
 
 @njit(cache=True)
@@ -285,14 +301,14 @@ def interp2d_bilinear(x_g, y_g, z_g, m_g, x, y):
 
 
 @njit(cache=True, fastmath=True)
-def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
+def uniform_resample(x_val, y_val, num_fac=2, fixed_size=-1):
     """
     Resample contours to have (nearly) equal spacing.
 
     :param array_like x_val: input x contour coordinates
     :param array_like y_val: input y contour coordinates
     :param int num_fac: factor to increase lengths of output coordinates
-    :param int,None fixed_size: if defined, will be used to set sampling
+    :param int fixed_size: if > -1, will be used to set sampling
     """
     nb = x_val.shape[0]
     # Get distances
@@ -303,7 +319,7 @@ def uniform_resample(x_val, y_val, num_fac=2, fixed_size=None):
     dist[1:][dist[1:] < 1e-3] = 1e-3
     dist = dist.cumsum()
     # Get uniform distances
-    if fixed_size is None:
+    if fixed_size == -1:
         fixed_size = dist.size * num_fac
     d_uniform = linspace(0, dist[-1], fixed_size)
     x_new = interp(d_uniform, dist, x_val)
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 4ffed94c..a2e2daed 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -2,26 +2,37 @@
 """
 Class to create network of observations
 """
+from glob import glob
 import logging
 import time
-from glob import glob
 
 import netCDF4
-import zarr
-from numba import njit
-from numba import types as nb_types
+from numba import njit, types as nb_types
 from numba.typed import List
-from numpy import (arange, array, bincount, bool_, concatenate, empty, nan,
-                   ones, percentile, uint16, uint32, unique, where, zeros)
+from numpy import (
+    arange,
+    array,
+    bincount,
+    bool_,
+    concatenate,
+    empty,
+    nan,
+    ones,
+    percentile,
+    uint16,
+    uint32,
+    unique,
+    where,
+    zeros,
+)
+import zarr
 
 from ..dataset.grid import GridCollection
 from ..generic import build_index, wrap_longitude
 from ..poly import bbox_intersection, vertice_overlap
-from .groups import (GroupEddiesObservations, get_missing_indices,
-                     particle_candidate)
+from .groups import GroupEddiesObservations, get_missing_indices, particle_candidate
 from .observation import EddiesObservations
-from .tracking import (TrackEddiesObservations, track_loess_filter,
-                       track_median_filter)
+from .tracking import TrackEddiesObservations, track_loess_filter, track_median_filter
 
 logger = logging.getLogger("pet")
 
@@ -93,7 +104,6 @@ def fix_next_previous_obs(next_obs, previous_obs, flag_virtual):
 
 
 class NetworkObservations(GroupEddiesObservations):
-
     __slots__ = ("_index_network", "_index_segment_track", "_segment_track_array")
     NOGROUP = 0
 
@@ -465,7 +475,6 @@ def find_link(self, i_observations, forward=True, backward=False):
                 segments_connexion[seg][0] = i_slice
 
             if i_p != -1:
-
                 if p_seg not in segments_connexion:
                     segments_connexion[p_seg] = [None, [], []]
 
@@ -614,7 +623,6 @@ def relatives(self, obs, order=2):
                 segments_connexion[seg][0] = i_slice
 
             if i_p != -1:
-
                 if p_seg not in segments_connexion:
                     segments_connexion[p_seg] = [None, []]
 
@@ -1242,7 +1250,9 @@ def networks_mask(self, id_networks, segment=False):
 
     def networks(self, id_networks):
         return self.extract_with_mask(
-            generate_mask_from_ids(array(id_networks), self.track.size, *self.index_network)
+            generate_mask_from_ids(
+                array(id_networks), self.track.size, *self.index_network
+            )
         )
 
     @property
@@ -1638,7 +1648,6 @@ def analysis_coherence(
         correct_close_events=0,
         remove_dead_end=0,
     ):
-
         """Global function to analyse segments coherence, with network preprocessing.
         :param callable date_function: python function, takes as param `int` (julian day) and return
             data filename associated to the date
@@ -1719,7 +1728,6 @@ def segment_coherence_backward(
         contour_start="speed",
         contour_end="speed",
     ):
-
         """
         Percentage of particules and their targets after backward advection from a specific eddy.
 
@@ -1797,7 +1805,6 @@ def segment_coherence_forward(
         contour_end="speed",
         **kwargs,
     ):
-
         """
         Percentage of particules and their targets after forward advection from a specific eddy.
 
@@ -1886,6 +1893,48 @@ def mask_obs_close_event(self, merging=True, spliting=True, dt=3):
             mask_follow_obs(m, self.previous_obs, self.time, i_target, dt)
         return m
 
+    def swap_track(
+        self,
+        length_main_max_after_event=2,
+        length_secondary_min_after_event=10,
+        delta_pct_max=-0.2,
+    ):
+        events = self.splitting_event(triplet=True, only_index=True)
+        count = 0
+        for i_main, i1, i2 in zip(*events):
+            seg_main, _, seg2 = (
+                self.segment_track_array[i_main],
+                self.segment_track_array[i1],
+                self.segment_track_array[i2],
+            )
+            i_start, i_end, i0 = self.index_segment_track
+            # For splitting
+            last_index_main = i_end[seg_main - i0] - 1
+            last_index_secondary = i_end[seg2 - i0] - 1
+            last_main_next_obs = self.next_obs[last_index_main]
+            t_event, t_main_end, t_secondary_start, t_secondary_end = (
+                self.time[i_main],
+                self.time[last_index_main],
+                self.time[i2],
+                self.time[last_index_secondary],
+            )
+            dt_main, dt_secondary = (
+                t_main_end - t_event,
+                t_secondary_end - t_secondary_start,
+            )
+            delta_cost = self.previous_cost[i2] - self.previous_cost[i1]
+            if (
+                dt_main <= length_main_max_after_event
+                and dt_secondary >= length_secondary_min_after_event
+                and last_main_next_obs == -1
+                and delta_cost > delta_pct_max
+            ):
+                self.segment[i1 : last_index_main + 1] = self.segment[i2]
+                self.segment[i2 : last_index_secondary + 1] = self.segment[i_main]
+                count += 1
+        logger.info("%d segmnent swap on %d", count, len(events[0]))
+        return self.sort()
+
 
 class Network:
     __slots__ = (
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index 72031608..f710cf0a 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -2,38 +2,77 @@
 """
 Base class to manage eddy observation
 """
-import logging
 from datetime import datetime
 from io import BufferedReader, BytesIO
+import logging
 from tarfile import ExFileObject
 from tokenize import TokenError
 
-import packaging.version
-import zarr
+from Polygon import Polygon
 from matplotlib.cm import get_cmap
 from matplotlib.collections import LineCollection, PolyCollection
 from matplotlib.colors import Normalize
 from netCDF4 import Dataset
-from numba import njit
-from numba import types as numba_types
-from numpy import (absolute, arange, array, array_equal, ceil, concatenate,
-                   cos, datetime64, digitize, empty, errstate, floor,
-                   histogram, histogram2d, in1d, isnan, linspace, ma, nan,
-                   ndarray, ones, percentile, radians, sin, unique, where,
-                   zeros)
+from numba import njit, types as numba_types
+from numpy import (
+    absolute,
+    arange,
+    array,
+    array_equal,
+    ceil,
+    concatenate,
+    cos,
+    datetime64,
+    digitize,
+    empty,
+    errstate,
+    floor,
+    histogram,
+    histogram2d,
+    in1d,
+    isnan,
+    linspace,
+    ma,
+    nan,
+    ndarray,
+    ones,
+    percentile,
+    radians,
+    sin,
+    unique,
+    where,
+    zeros,
+)
+import packaging.version
 from pint import UnitRegistry
 from pint.errors import UndefinedUnitError
-from Polygon import Polygon
+import zarr
 
 from .. import VAR_DESCR, VAR_DESCR_inv, __version__
-from ..generic import (bbox_indice_regular, build_index, distance,
-                       distance_grid, flatten_line_matrix, hist_numba,
-                       local_to_coordinates, reverse_index, window_index,
-                       wrap_longitude)
-from ..poly import (bbox_intersection, close_center, convexs,
-                    create_meshed_particles, create_vertice,
-                    get_pixel_in_regular, insidepoly, poly_indexs, reduce_size,
-                    vertice_overlap)
+from ..generic import (
+    bbox_indice_regular,
+    build_index,
+    distance,
+    distance_grid,
+    flatten_line_matrix,
+    hist_numba,
+    local_to_coordinates,
+    reverse_index,
+    window_index,
+    wrap_longitude,
+)
+from ..poly import (
+    bbox_intersection,
+    close_center,
+    convexs,
+    create_meshed_particles,
+    create_vertice,
+    get_pixel_in_regular,
+    insidepoly,
+    poly_indexs,
+    reduce_size,
+    vertice_overlap,
+)
 
 logger = logging.getLogger("pet")
 
@@ -1808,8 +1847,8 @@ def extract_with_area(self, area, **kwargs):
 
     @property
     def time_datetime64(self):
-        dt = (datetime64('1970-01-01') - datetime64('1950-01-01')).astype('i8')
-        return (self.time - dt).astype('datetime64[D]')
+        dt = (datetime64("1970-01-01") - datetime64("1950-01-01")).astype("i8")
+        return (self.time - dt).astype("datetime64[D]")
 
     def time_sub_sample(self, t0, time_step):
         """
@@ -2215,7 +2254,7 @@ def grid_count(self, bins, intern=False, center=False, filter=slice(None)):
             x_ref = ((self.longitude[filter] - x0) % 360 + x0 - 180).reshape(-1, 1)
             x_contour, y_contour = self[x_name][filter], self[y_name][filter]
             grid_count_pixel_in(
-                grid,
+                grid.data,
                 x_contour,
                 y_contour,
                 x_ref,
@@ -2338,7 +2377,7 @@ def interp_grid(
             x, y = self.longitude, self.latitude
             if i is not None:
                 x, y = x[i], y[i]
-            return grid_object.interp(varname, x,y , method)
+            return grid_object.interp(varname, x, y, method)
         elif method in ("min", "max", "mean", "count"):
             x0 = grid_object.x_bounds[0]
             x_name, y_name = self.intern(False if intern is None else intern)
@@ -2352,7 +2391,7 @@ def interp_grid(
             grid_stat(
                 grid_object.x_c,
                 grid_object.y_c,
-                -grid if min_method else grid,
+                -grid.data if min_method else grid.data,
                 grid.mask,
                 x,
                 y,
diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 217b1d18..491b0c3a 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -5,12 +5,10 @@
 
 import heapq
 
-from numba import njit, prange
-from numba import types as numba_types
-from numpy import (arctan, array, concatenate, empty, nan, ones, pi, where,
-                   zeros)
-from numpy.linalg import lstsq
 from Polygon import Polygon
+from numba import njit, prange, types as numba_types
+from numpy import arctan, array, concatenate, empty, nan, ones, pi, where, zeros
+from numpy.linalg import lstsq
 
 from .generic import build_index
 
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 16616d5a..9329e3bd 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -409,14 +409,14 @@ def to_netcdf(self, handler):
         logger.debug('Create Dimensions "Nstep" : %d', nb_step)
         handler.createDimension("Nstep", nb_step)
         var_file_in = handler.createVariable(
-            zlib=True,
+            zlib=False,
             complevel=1,
             varname="FileIn",
             datatype="S1024",
             dimensions="Nstep",
         )
         var_file_out = handler.createVariable(
-            zlib=True,
+            zlib=False,
             complevel=1,
             varname="FileOut",
             datatype="S1024",

From b93850af1331b5bd0428ccd8832b8c479f0d019f Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 4 May 2023 16:20:39 +0200
Subject: [PATCH 417/441] Add example with correspondance

---
 .../pet_how_to_use_correspondances.py         |  94 +++++++++++
 .../pet_how_to_use_correspondances.ipynb      | 155 ++++++++++++++++++
 .../observations/observation.py               |   6 +-
 src/py_eddy_tracker/tracking.py               |   7 +-
 4 files changed, 258 insertions(+), 4 deletions(-)
 create mode 100644 examples/08_tracking_manipulation/pet_how_to_use_correspondances.py
 create mode 100644 notebooks/python_module/08_tracking_manipulation/pet_how_to_use_correspondances.ipynb

diff --git a/examples/08_tracking_manipulation/pet_how_to_use_correspondances.py b/examples/08_tracking_manipulation/pet_how_to_use_correspondances.py
new file mode 100644
index 00000000..8161ad81
--- /dev/null
+++ b/examples/08_tracking_manipulation/pet_how_to_use_correspondances.py
@@ -0,0 +1,94 @@
+"""
+Correspondances
+===============
+
+Correspondances is a mechanism to intend to continue tracking with new detection
+
+"""
+
+import logging
+
+# %%
+from matplotlib import pyplot as plt
+from netCDF4 import Dataset
+
+from py_eddy_tracker import start_logger
+from py_eddy_tracker.data import get_remote_demo_sample
+from py_eddy_tracker.featured_tracking.area_tracker import AreaTracker
+
+# In order to hide some warning
+import py_eddy_tracker.observations.observation
+from py_eddy_tracker.tracking import Correspondances
+
+py_eddy_tracker.observations.observation._display_check_warning = False
+
+
+# %%
+def plot_eddy(ed):
+    fig = plt.figure(figsize=(10, 5))
+    ax = fig.add_axes([0.05, 0.03, 0.90, 0.94])
+    ed.plot(ax, ref=-10, marker="x")
+    lc = ed.display_color(ax, field=ed.time, ref=-10, intern=True)
+    plt.colorbar(lc).set_label("Time in Julian days (from 1950/01/01)")
+    ax.set_xlim(4.5, 8), ax.set_ylim(36.8, 38.3)
+    ax.set_aspect("equal")
+    ax.grid()
+
+
+# %%
+# Get remote data, we will keep only 20 first days,
+# `get_remote_demo_sample` function is only to get demo dataset, in your own case give a list of identification filename
+# and don't mix cyclonic and anticyclonic files.
+file_objects = get_remote_demo_sample(
+    "eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012"
+)[:20]
+
+# %%
+# We run a traking with a tracker which use contour overlap, on 10 first time step
+c_first_run = Correspondances(
+    datasets=file_objects[:10], class_method=AreaTracker, virtual=4
+)
+start_logger().setLevel("INFO")
+c_first_run.track()
+start_logger().setLevel("WARNING")
+with Dataset("correspondances.nc", "w") as h:
+    c_first_run.to_netcdf(h)
+# Next step are done only to build atlas and display it
+c_first_run.prepare_merging()
+
+# We have now an eddy object
+eddies_area_tracker = c_first_run.merge(raw_data=False)
+eddies_area_tracker.virtual[:] = eddies_area_tracker.time == 0
+eddies_area_tracker.filled_by_interpolation(eddies_area_tracker.virtual == 1)
+
+# %%
+# Plot from first ten days
+plot_eddy(eddies_area_tracker)
+
+# %%
+# Restart from previous run
+# -------------------------
+# We give all filenames, the new one and filename from previous run
+c_second_run = Correspondances(
+    datasets=file_objects[:20],
+    # This parameter must be identical in each run
+    class_method=AreaTracker,
+    virtual=4,
+    # Previous saved correspondancs
+    previous_correspondance="correspondances.nc",
+)
+start_logger().setLevel("INFO")
+c_second_run.track()
+start_logger().setLevel("WARNING")
+c_second_run.prepare_merging()
+# We have now another eddy object
+eddies_area_tracker_extend = c_second_run.merge(raw_data=False)
+eddies_area_tracker_extend.virtual[:] = eddies_area_tracker_extend.time == 0
+eddies_area_tracker_extend.filled_by_interpolation(
+    eddies_area_tracker_extend.virtual == 1
+)
+
+
+# %%
+# Plot with time extension
+plot_eddy(eddies_area_tracker_extend)
diff --git a/notebooks/python_module/08_tracking_manipulation/pet_how_to_use_correspondances.ipynb b/notebooks/python_module/08_tracking_manipulation/pet_how_to_use_correspondances.ipynb
new file mode 100644
index 00000000..0681c0fc
--- /dev/null
+++ b/notebooks/python_module/08_tracking_manipulation/pet_how_to_use_correspondances.ipynb
@@ -0,0 +1,155 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Correspondances\n\nCorrespondances is a mechanism to intend to continue tracking with new detection\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import logging"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from matplotlib import pyplot as plt\nfrom netCDF4 import Dataset\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_remote_demo_sample\nfrom py_eddy_tracker.featured_tracking.area_tracker import AreaTracker\n\n# In order to hide some warning\nimport py_eddy_tracker.observations.observation\nfrom py_eddy_tracker.tracking import Correspondances\n\npy_eddy_tracker.observations.observation._display_check_warning = False"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "def plot_eddy(ed):\n    fig = plt.figure(figsize=(10, 5))\n    ax = fig.add_axes([0.05, 0.03, 0.90, 0.94])\n    ed.plot(ax, ref=-10, marker=\"x\")\n    lc = ed.display_color(ax, field=ed.time, ref=-10, intern=True)\n    plt.colorbar(lc).set_label(\"Time in Julian days (from 1950/01/01)\")\n    ax.set_xlim(4.5, 8), ax.set_ylim(36.8, 38.3)\n    ax.set_aspect(\"equal\")\n    ax.grid()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Get remote data, we will keep only 20 first days,\n`get_remote_demo_sample` function is only to get demo dataset, in your own case give a list of identification filename\nand don't mix cyclonic and anticyclonic files.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "file_objects = get_remote_demo_sample(\n    \"eddies_med_adt_allsat_dt2018/Anticyclonic_2010_2011_2012\"\n)[:20]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We run a traking with a tracker which use contour overlap, on 10 first time step\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c_first_run = Correspondances(\n    datasets=file_objects[:10], class_method=AreaTracker, virtual=4\n)\nstart_logger().setLevel(\"INFO\")\nc_first_run.track()\nstart_logger().setLevel(\"WARNING\")\nwith Dataset(\"correspondances.nc\", \"w\") as h:\n    c_first_run.to_netcdf(h)\n# Next step are done only to build atlas and display it\nc_first_run.prepare_merging()\n\n# We have now an eddy object\neddies_area_tracker = c_first_run.merge(raw_data=False)\neddies_area_tracker.virtual[:] = eddies_area_tracker.time == 0\neddies_area_tracker.filled_by_interpolation(eddies_area_tracker.virtual == 1)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot from first ten days\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "plot_eddy(eddies_area_tracker)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Restart from previous run\nWe give all filenames, the new one and filename from previous run\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "c_second_run = Correspondances(\n    datasets=file_objects[:20],\n    # This parameter must be identical in each run\n    class_method=AreaTracker,\n    virtual=4,\n    # Previous saved correspondancs\n    previous_correspondance=\"correspondances.nc\",\n)\nstart_logger().setLevel(\"INFO\")\nc_second_run.track()\nstart_logger().setLevel(\"WARNING\")\nc_second_run.prepare_merging()\n# We have now another eddy object\neddies_area_tracker_extend = c_second_run.merge(raw_data=False)\neddies_area_tracker_extend.virtual[:] = eddies_area_tracker_extend.time == 0\neddies_area_tracker_extend.filled_by_interpolation(\n    eddies_area_tracker_extend.virtual == 1\n)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Plot with time extension\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "plot_eddy(eddies_area_tracker_extend)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.10"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/src/py_eddy_tracker/observations/observation.py b/src/py_eddy_tracker/observations/observation.py
index f710cf0a..b39f7f83 100644
--- a/src/py_eddy_tracker/observations/observation.py
+++ b/src/py_eddy_tracker/observations/observation.py
@@ -80,6 +80,7 @@
 _software_version_reduced = packaging.version.Version(
     "{v.major}.{v.minor}".format(v=packaging.version.parse(__version__))
 )
+_display_check_warning = True
 
 
 def _check_versions(version):
@@ -90,7 +91,8 @@ def _check_versions(version):
     :param version: string version of software used to create the file. If None, version was not provided
     :type version: str, None
     """
-
+    if not _display_check_warning:
+        return
     file_version = packaging.version.parse(version) if version is not None else None
     if file_version is None or file_version < _software_version_reduced:
         logger.warning(
@@ -774,7 +776,7 @@ def load_file(cls, filename, **kwargs):
             zarr_file = filename_.endswith(end)
         else:
             zarr_file = False
-        logger.info(f"loading file '{filename}'")
+        logger.info(f"loading file '{filename_}'")
         if zarr_file:
             return cls.load_from_zarr(filename, **kwargs)
         else:
diff --git a/src/py_eddy_tracker/tracking.py b/src/py_eddy_tracker/tracking.py
index 9329e3bd..b64b6fcc 100644
--- a/src/py_eddy_tracker/tracking.py
+++ b/src/py_eddy_tracker/tracking.py
@@ -2,11 +2,11 @@
 """
 Class to store link between observations
 """
-
 from datetime import datetime, timedelta
 import json
 import logging
 import platform
+from tarfile import ExFileObject
 
 from netCDF4 import Dataset, default_fillvals
 from numba import njit, types as numba_types
@@ -375,7 +375,10 @@ def track(self):
         # We begin with second file, first one is in previous
         for file_name in self.datasets[first_dataset:]:
             self.swap_dataset(file_name, **kwargs)
-            logger.info("%s match with previous state", file_name)
+            filename_ = (
+                file_name.filename if isinstance(file_name, ExFileObject) else file_name
+            )
+            logger.info("%s match with previous state", filename_)
             logger.debug("%d obs to match", len(self.current_obs))
 
             nb_real_obs = len(self.previous_obs)

From 65971875c9aa530a4038bbc6b2b9321cc6c4374d Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 10 May 2023 16:53:13 +0200
Subject: [PATCH 418/441] Correction on vertice overlap which use same variable
 for two things ...

---
 src/py_eddy_tracker/poly.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/py_eddy_tracker/poly.py b/src/py_eddy_tracker/poly.py
index 491b0c3a..b5849610 100644
--- a/src/py_eddy_tracker/poly.py
+++ b/src/py_eddy_tracker/poly.py
@@ -477,22 +477,22 @@ def vertice_overlap(
         if intersection == 0:
             cost[i] = 0
             continue
-        p0_area, p1_area = p0.area(), p1.area()
+        p0_area_, p1_area_ = p0.area(), p1.area()
         if minimal_area:
-            cost_ = intersection / min(p0_area, p1_area)
+            cost_ = intersection / min(p0_area_, p1_area_)
         # we divide intersection with p1
         elif p1_area:
-            cost_ = intersection / p1_area
+            cost_ = intersection / p1_area_
         # we divide intersection with polygon merging result from 0 to 1
         else:
-            cost_ = intersection / (p0_area + p1_area - intersection)
+            cost_ = intersection / (p0_area_ + p1_area_ - intersection)
         if cost_ >= min_overlap:
             cost[i] = cost_
         else:
             if (
                 hybrid_area
                 and cost_ != 0
-                and (intersection / min(p0_area, p1_area)) > 0.99
+                and (intersection / min(p0_area_, p1_area_)) > 0.99
             ):
                 cost[i] = cost_
             else:

From e659c503f62e02f511f4a151f122756b90e22522 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 20 Sep 2023 09:50:59 +0200
Subject: [PATCH 419/441] Update pet_okubo_weiss.py

change sign in formula
---
 examples/06_grid_manipulation/pet_okubo_weiss.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/06_grid_manipulation/pet_okubo_weiss.py b/examples/06_grid_manipulation/pet_okubo_weiss.py
index 818a6742..aa8a063e 100644
--- a/examples/06_grid_manipulation/pet_okubo_weiss.py
+++ b/examples/06_grid_manipulation/pet_okubo_weiss.py
@@ -2,7 +2,7 @@
 Get Okubo Weis
 ==============
 
-.. math:: OW = S_n^2 + S_s^2 + \omega^2
+.. math:: OW = S_n^2 + S_s^2 - \omega^2
 
 with normal strain (:math:`S_n`), shear strain (:math:`S_s`) and vorticity (:math:`\omega`)
 

From 73b017c9e4c7a60c33ad339eb82248bc3bda9237 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 27 Sep 2023 15:34:01 +0200
Subject: [PATCH 420/441] issue #207 change speed compute formula to avoid mask
 shrinking

---
 src/py_eddy_tracker/dataset/grid.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index 7e9a04be..edb96bac 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -38,6 +38,7 @@
     round_,
     sin,
     sinc,
+    sqrt,
     where,
     zeros,
 )
@@ -1919,7 +1920,8 @@ def speed_coef_mean(self, contour):
 
     def init_speed_coef(self, uname="u", vname="v"):
         """Draft"""
-        self._speed_ev = (self.grid(uname) ** 2 + self.grid(vname) ** 2) ** 0.5
+        u, v = self.grid(uname), self.grid(vname)
+        self._speed_ev = sqrt(u * u + v * v)
 
     def display(self, ax, name, factor=1, ref=None, **kwargs):
         """

From c7430cef0f9f133296db0ef144ebd15a73d73300 Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 21 Dec 2023 10:49:48 +0100
Subject: [PATCH 421/441] Update python-app.yml python version

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 00dbcc95..f2f4753e 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -11,7 +11,7 @@ jobs:
       matrix:
         # os: [ubuntu-latest, macos-latest, windows-latest]
         os: [ubuntu-latest, windows-latest]
-        python_version: ['3.10']
+        python_version: ['3.10', '3.11', '3.12']
     name: Run py eddy tracker build tests
     runs-on: ${{ matrix.os }}
     defaults:

From 62e283be6558e9abec374d153bfbbaa3ffb8415a Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 14:50:11 +0200
Subject: [PATCH 422/441] specify ubuntu lts

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index f2f4753e..7c93faae 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -10,7 +10,7 @@ jobs:
     strategy:
       matrix:
         # os: [ubuntu-latest, macos-latest, windows-latest]
-        os: [ubuntu-latest, windows-latest]
+        os: [ubuntu-lts-latest, windows-latest]
         python_version: ['3.10', '3.11', '3.12']
     name: Run py eddy tracker build tests
     runs-on: ${{ matrix.os }}

From e6d4ada203bfe29b2a7231428948fcba7bbbcc74 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 14:56:25 +0200
Subject: [PATCH 423/441] Specify os for readthedocs

---
 .readthedocs.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 1299f38e..ec749526 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,6 +1,8 @@
 version: 2
 conda:
   environment: doc/environment.yml
+build:
+  os: ubuntu-lts-latest
 python:
    install:
      - method: setuptools

From 80f8e143adf5ae992286cbe42336730e88a06c9e Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 14:58:56 +0200
Subject: [PATCH 424/441] Add python spec for readthedocs

---
 .readthedocs.yml | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index ec749526..a04495b6 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -3,7 +3,9 @@ conda:
   environment: doc/environment.yml
 build:
   os: ubuntu-lts-latest
+  tools:
+    python: "3.10"
 python:
-   install:
-     - method: setuptools
-       path: .
+  install:
+    - method: setuptools
+      path: .

From 27bafc6d7bb21b02e2ceada0d048a906b4616609 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 15:08:35 +0200
Subject: [PATCH 425/441] update versionner

---
 src/py_eddy_tracker/__init__.py |  12 +-
 src/py_eddy_tracker/_version.py | 449 ++++++++++++++++++++------------
 2 files changed, 296 insertions(+), 165 deletions(-)

diff --git a/src/py_eddy_tracker/__init__.py b/src/py_eddy_tracker/__init__.py
index 0a98892d..7115bf67 100644
--- a/src/py_eddy_tracker/__init__.py
+++ b/src/py_eddy_tracker/__init__.py
@@ -32,13 +32,13 @@
 del get_versions
 
 
-def start_logger():
+def start_logger(color=True):
     FORMAT_LOG = "%(levelname)-8s %(asctime)s %(module)s.%(funcName)s :\n\t%(message)s"
     logger = logging.getLogger("pet")
     if len(logger.handlers) == 0:
         # set up logging to CONSOLE
         console = logging.StreamHandler()
-        console.setFormatter(ColoredFormatter(FORMAT_LOG))
+        console.setFormatter(ColoredFormatter(FORMAT_LOG, color=color))
         # add the handler to the root logger
         logger.addHandler(console)
     return logger
@@ -53,13 +53,14 @@ class ColoredFormatter(logging.Formatter):
         DEBUG="\033[34m\t",
     )
 
-    def __init__(self, message):
+    def __init__(self, message, color=True):
         super().__init__(message)
+        self.with_color = color
 
     def format(self, record):
         color = self.COLOR_LEVEL.get(record.levelname, "")
         color_reset = "\033[0m"
-        model = color + "%s" + color_reset
+        model = (color + "%s" + color_reset) if self.with_color else "%s"
         record.msg = model % record.msg
         record.funcName = model % record.funcName
         record.module = model % record.module
@@ -696,3 +697,6 @@ def identify_time(str_date):
     VAR_DESCR_inv[VAR_DESCR[key]["nc_name"]] = key
     for key_old in VAR_DESCR[key].get("old_nc_name", list()):
         VAR_DESCR_inv[key_old] = key
+
+from . import _version
+__version__ = _version.get_versions()['version']
diff --git a/src/py_eddy_tracker/_version.py b/src/py_eddy_tracker/_version.py
index 44367e3a..589e706f 100644
--- a/src/py_eddy_tracker/_version.py
+++ b/src/py_eddy_tracker/_version.py
@@ -1,11 +1,13 @@
+
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -14,9 +16,11 @@
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -32,8 +36,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
 
-def get_config():
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -51,41 +62,50 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
-
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
 
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
         HANDLERS[vcs][method] = f
         return f
-
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen(
-                [c] + args,
-                cwd=cwd,
-                env=env,
-                stdout=subprocess.PIPE,
-                stderr=(subprocess.PIPE if hide_stderr else None),
-            )
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -96,18 +116,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -116,64 +138,64 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
-            return {
-                "version": dirname[len(parentdir_prefix) :],
-                "full-revisionid": None,
-                "dirty": False,
-                "error": None,
-                "date": None,
-            }
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
-        print(
-            "Tried directories %s but none started with prefix %s"
-            % (str(rootdirs), parentdir_prefix)
-        )
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
     raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -186,11 +208,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -199,7 +221,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r"\d", r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -207,30 +229,33 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     for ref in sorted(tags):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix) :]
+            r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
-            return {
-                "version": r,
-                "full-revisionid": keywords["full"].strip(),
-                "dirty": False,
-                "error": None,
-                "date": date,
-            }
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
     # no suitable tags, so version is "0+unknown", but full hex is still there
     if verbose:
         print("no suitable tags, using unknown + full revision id")
-    return {
-        "version": "0+unknown",
-        "full-revisionid": keywords["full"].strip(),
-        "dirty": False,
-        "error": "no suitable tags",
-        "date": None,
-    }
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -241,7 +266,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -249,33 +282,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(
-        GITS,
-        [
-            "describe",
-            "--tags",
-            "--dirty",
-            "--always",
-            "--long",
-            "--match",
-            "%s*" % tag_prefix,
-        ],
-        cwd=root,
-    )
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -284,16 +341,17 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     dirty = git_describe.endswith("-dirty")
     pieces["dirty"] = dirty
     if dirty:
-        git_describe = git_describe[: git_describe.rindex("-dirty")]
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
 
     # now we have TAG-NUM-gHEX or HEX
 
     if "-" in git_describe:
         # TAG-NUM-gHEX
-        mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe)
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
-            pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out
+            # unparsable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
             return pieces
 
         # tag
@@ -302,12 +360,10 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
             if verbose:
                 fmt = "tag '%s' doesn't start with prefix '%s'"
                 print(fmt % (full_tag, tag_prefix))
-            pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % (
-                full_tag,
-                tag_prefix,
-            )
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
             return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix) :]
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
 
         # distance: number of commits since tag
         pieces["distance"] = int(mo.group(2))
@@ -318,26 +374,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[
-        0
-    ].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -355,29 +412,78 @@ def render_pep440(pieces):
                 rendered += ".dirty"
     else:
         # exception #1
-        rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"])
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
         if pieces["dirty"]:
             rendered += ".dirty"
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -404,12 +510,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -426,7 +561,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -446,7 +581,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -466,26 +601,28 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
-        return {
-            "version": "unknown",
-            "full-revisionid": pieces.get("long"),
-            "dirty": None,
-            "error": pieces["error"],
-            "date": None,
-        }
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
 
     if not style or style == "default":
         style = "pep440"  # the default
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -495,16 +632,12 @@ def render(pieces, style):
     else:
         raise ValueError("unknown style '%s'" % style)
 
-    return {
-        "version": rendered,
-        "full-revisionid": pieces["long"],
-        "dirty": pieces["dirty"],
-        "error": None,
-        "date": pieces.get("date"),
-    }
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -515,7 +648,8 @@ def get_versions():
     verbose = cfg.verbose
 
     try:
-        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose)
+        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix,
+                                          verbose)
     except NotThisMethod:
         pass
 
@@ -524,16 +658,13 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split("/"):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
-        return {
-            "version": "0+unknown",
-            "full-revisionid": None,
-            "dirty": None,
-            "error": "unable to find root of source tree",
-            "date": None,
-        }
+        return {"version": "0+unknown", "full-revisionid": None,
+                "dirty": None,
+                "error": "unable to find root of source tree",
+                "date": None}
 
     try:
         pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose)
@@ -547,10 +678,6 @@ def get_versions():
     except NotThisMethod:
         pass
 
-    return {
-        "version": "0+unknown",
-        "full-revisionid": None,
-        "dirty": None,
-        "error": "unable to compute version",
-        "date": None,
-    }
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None,
+            "error": "unable to compute version", "date": None}

From 0cb3230e8a97731e25d8e8d65df1e405c1d6406c Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 15:13:00 +0200
Subject: [PATCH 426/441] versionner file

---
 versioneer.py | 1354 +++++++++++++++++++++++++++++++------------------
 1 file changed, 873 insertions(+), 481 deletions(-)

diff --git a/versioneer.py b/versioneer.py
index 2b545405..1e3753e6 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -1,4 +1,5 @@
-# Version: 0.18
+
+# Version: 0.29
 
 """The Versioneer - like a rocketeer, but for versions.
 
@@ -6,18 +7,14 @@
 ==============
 
 * like a rocketeer, but for versions!
-* https://github.com/warner/python-versioneer
+* https://github.com/python-versioneer/python-versioneer
 * Brian Warner
-* License: Public Domain
-* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
-* [![Latest Version]
-(https://pypip.in/version/versioneer/badge.svg?style=flat)
-](https://pypi.python.org/pypi/versioneer/)
-* [![Build Status]
-(https://travis-ci.org/warner/python-versioneer.png?branch=master)
-](https://travis-ci.org/warner/python-versioneer)
-
-This is a tool for managing a recorded version number in distutils-based
+* License: Public Domain (Unlicense)
+* Compatible with: Python 3.7, 3.8, 3.9, 3.10, 3.11 and pypy3
+* [![Latest Version][pypi-image]][pypi-url]
+* [![Build Status][travis-image]][travis-url]
+
+This is a tool for managing a recorded version number in setuptools-based
 python projects. The goal is to remove the tedious and error-prone "update
 the embedded version string" step from your release process. Making a new
 release should be as easy as recording a new tag in your version-control
@@ -26,9 +23,38 @@
 
 ## Quick Install
 
-* `pip install versioneer` to somewhere to your $PATH
-* add a `[versioneer]` section to your setup.cfg (see below)
-* run `versioneer install` in your source tree, commit the results
+Versioneer provides two installation modes. The "classic" vendored mode installs
+a copy of versioneer into your repository. The experimental build-time dependency mode
+is intended to allow you to skip this step and simplify the process of upgrading.
+
+### Vendored mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+   * Note that you will need to add `tomli; python_version < "3.11"` to your
+     build-time dependencies if you use `pyproject.toml`
+* run `versioneer install --vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
+
+### Build-time dependency mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+* add `versioneer` (with `[toml]` extra, if configuring in `pyproject.toml`)
+  to the `requires` key of the `build-system` table in `pyproject.toml`:
+  ```toml
+  [build-system]
+  requires = ["setuptools", "versioneer[toml]"]
+  build-backend = "setuptools.build_meta"
+  ```
+* run `versioneer install --no-vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
 
 ## Version Identifiers
 
@@ -60,7 +86,7 @@
 for example `git describe --tags --dirty --always` reports things like
 "0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
 0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
-uncommitted changes.
+uncommitted changes).
 
 The version identifier is used for multiple purposes:
 
@@ -165,7 +191,7 @@
 
 Some situations are known to cause problems for Versioneer. This details the
 most significant ones. More can be found on Github
-[issues page](https://github.com/warner/python-versioneer/issues).
+[issues page](https://github.com/python-versioneer/python-versioneer/issues).
 
 ### Subprojects
 
@@ -179,7 +205,7 @@
   `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
   distributions (and upload multiple independently-installable tarballs).
 * Source trees whose main purpose is to contain a C library, but which also
-  provide bindings to Python (and perhaps other langauges) in subdirectories.
+  provide bindings to Python (and perhaps other languages) in subdirectories.
 
 Versioneer will look for `.git` in parent directories, and most operations
 should get the right version string. However `pip` and `setuptools` have bugs
@@ -193,9 +219,9 @@
 Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
 some later version.
 
-[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+[Bug #38](https://github.com/python-versioneer/python-versioneer/issues/38) is tracking
 this issue. The discussion in
-[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+[PR #61](https://github.com/python-versioneer/python-versioneer/pull/61) describes the
 issue from the Versioneer side in more detail.
 [pip PR#3176](https://github.com/pypa/pip/pull/3176) and
 [pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
@@ -223,31 +249,20 @@
 cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
 a different virtualenv), so this can be surprising.
 
-[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+[Bug #83](https://github.com/python-versioneer/python-versioneer/issues/83) describes
 this one, but upgrading to a newer version of setuptools should probably
 resolve it.
 
-### Unicode version strings
-
-While Versioneer works (and is continually tested) with both Python 2 and
-Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
-Newer releases probably generate unicode version strings on py2. It's not
-clear that this is wrong, but it may be surprising for applications when then
-write these strings to a network connection or include them in bytes-oriented
-APIs like cryptographic checksums.
-
-[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
-this question.
-
 
 ## Updating Versioneer
 
 To upgrade your project to a new release of Versioneer, do the following:
 
 * install the new Versioneer (`pip install -U versioneer` or equivalent)
-* edit `setup.cfg`, if necessary, to include any new configuration settings
-  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
-* re-run `versioneer install` in your source tree, to replace
+* edit `setup.cfg` and `pyproject.toml`, if necessary,
+  to include any new configuration settings indicated by the release notes.
+  See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install --[no-]vendor` in your source tree, to replace
   `SRC/_version.py`
 * commit any changed files
 
@@ -264,36 +279,70 @@
 direction and include code from all supported VCS systems, reducing the
 number of intermediate scripts.
 
+## Similar projects
+
+* [setuptools_scm](https://github.com/pypa/setuptools_scm/) - a non-vendored build-time
+  dependency
+* [minver](https://github.com/jbweston/miniver) - a lightweight reimplementation of
+  versioneer
+* [versioningit](https://github.com/jwodder/versioningit) - a PEP 518-based setuptools
+  plugin
 
 ## License
 
 To make Versioneer easier to embed, all its code is dedicated to the public
 domain. The `_version.py` that it creates is also in the public domain.
-Specifically, both are released under the Creative Commons "Public Domain
-Dedication" license (CC0-1.0), as described in
-https://creativecommons.org/publicdomain/zero/1.0/ .
+Specifically, both are released under the "Unlicense", as described in
+https://unlicense.org/.
 
-"""
+[pypi-image]: https://img.shields.io/pypi/v/versioneer.svg
+[pypi-url]: https://pypi.python.org/pypi/versioneer/
+[travis-image]:
+https://img.shields.io/travis/com/python-versioneer/python-versioneer.svg
+[travis-url]: https://travis-ci.com/github/python-versioneer/python-versioneer
 
-from __future__ import print_function
+"""
+# pylint:disable=invalid-name,import-outside-toplevel,missing-function-docstring
+# pylint:disable=missing-class-docstring,too-many-branches,too-many-statements
+# pylint:disable=raise-missing-from,too-many-lines,too-many-locals,import-error
+# pylint:disable=too-few-public-methods,redefined-outer-name,consider-using-with
+# pylint:disable=attribute-defined-outside-init,too-many-arguments
 
-try:
-    import configparser
-except ImportError:
-    import ConfigParser as configparser
+import configparser
 import errno
 import json
 import os
 import re
 import subprocess
 import sys
+from pathlib import Path
+from typing import Any, Callable, cast, Dict, List, Optional, Tuple, Union
+from typing import NoReturn
+import functools
+
+have_tomllib = True
+if sys.version_info >= (3, 11):
+    import tomllib
+else:
+    try:
+        import tomli as tomllib
+    except ImportError:
+        have_tomllib = False
 
 
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    versionfile_source: str
+    versionfile_build: Optional[str]
+    parentdir_prefix: Optional[str]
+    verbose: Optional[bool]
 
-def get_root():
+
+def get_root() -> str:
     """Get the project root directory.
 
     We require that all commands are run from the project root, i.e. the
@@ -301,20 +350,28 @@ def get_root():
     """
     root = os.path.realpath(os.path.abspath(os.getcwd()))
     setup_py = os.path.join(root, "setup.py")
+    pyproject_toml = os.path.join(root, "pyproject.toml")
     versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
         # allow 'python path/to/setup.py COMMAND'
         root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
         setup_py = os.path.join(root, "setup.py")
+        pyproject_toml = os.path.join(root, "pyproject.toml")
         versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
-        err = (
-            "Versioneer was unable to run the project root directory. "
-            "Versioneer requires setup.py to be executed from "
-            "its immediate directory (like 'python setup.py COMMAND'), "
-            "or in a way that lets it use sys.argv[0] to find the root "
-            "(like 'python path/to/setup.py COMMAND')."
-        )
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
+        err = ("Versioneer was unable to run the project root directory. "
+               "Versioneer requires setup.py to be executed from "
+               "its immediate directory (like 'python setup.py COMMAND'), "
+               "or in a way that lets it use sys.argv[0] to find the root "
+               "(like 'python path/to/setup.py COMMAND').")
         raise VersioneerBadRootError(err)
     try:
         # Certain runtime workflows (setup.py install/develop in a setuptools
@@ -323,46 +380,62 @@ def get_root():
         # module-import table will cache the first one. So we can't use
         # os.path.dirname(__file__), as that will find whichever
         # versioneer.py was first imported, even in later projects.
-        me = os.path.realpath(os.path.abspath(__file__))
-        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        my_path = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(my_path)[0])
         vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
-        if me_dir != vsr_dir:
-            print(
-                "Warning: build in %s is using versioneer.py from %s"
-                % (os.path.dirname(me), versioneer_py)
-            )
+        if me_dir != vsr_dir and "VERSIONEER_PEP518" not in globals():
+            print("Warning: build in %s is using versioneer.py from %s"
+                  % (os.path.dirname(my_path), versioneer_py))
     except NameError:
         pass
     return root
 
 
-def get_config_from_root(root):
+def get_config_from_root(root: str) -> VersioneerConfig:
     """Read the project setup.cfg file to determine Versioneer config."""
-    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # This might raise OSError (if setup.cfg is missing), or
     # configparser.NoSectionError (if it lacks a [versioneer] section), or
     # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
     # the top of versioneer.py for instructions on writing your setup.cfg .
-    setup_cfg = os.path.join(root, "setup.cfg")
-    parser = configparser.SafeConfigParser()
-    with open(setup_cfg, "r") as f:
-        parser.readfp(f)
-    VCS = parser.get("versioneer", "VCS")  # mandatory
-
-    def get(parser, name):
-        if parser.has_option("versioneer", name):
-            return parser.get("versioneer", name)
-        return None
+    root_pth = Path(root)
+    pyproject_toml = root_pth / "pyproject.toml"
+    setup_cfg = root_pth / "setup.cfg"
+    section: Union[Dict[str, Any], configparser.SectionProxy, None] = None
+    if pyproject_toml.exists() and have_tomllib:
+        try:
+            with open(pyproject_toml, 'rb') as fobj:
+                pp = tomllib.load(fobj)
+            section = pp['tool']['versioneer']
+        except (tomllib.TOMLDecodeError, KeyError) as e:
+            print(f"Failed to load config from {pyproject_toml}: {e}")
+            print("Try to load it from setup.cfg")
+    if not section:
+        parser = configparser.ConfigParser()
+        with open(setup_cfg) as cfg_file:
+            parser.read_file(cfg_file)
+        parser.get("versioneer", "VCS")  # raise error if missing
+
+        section = parser["versioneer"]
+
+    # `cast`` really shouldn't be used, but its simplest for the
+    # common VersioneerConfig users at the moment. We verify against
+    # `None` values elsewhere where it matters
 
     cfg = VersioneerConfig()
-    cfg.VCS = VCS
-    cfg.style = get(parser, "style") or ""
-    cfg.versionfile_source = get(parser, "versionfile_source")
-    cfg.versionfile_build = get(parser, "versionfile_build")
-    cfg.tag_prefix = get(parser, "tag_prefix")
-    if cfg.tag_prefix in ("''", '""'):
+    cfg.VCS = section['VCS']
+    cfg.style = section.get("style", "")
+    cfg.versionfile_source = cast(str, section.get("versionfile_source"))
+    cfg.versionfile_build = section.get("versionfile_build")
+    cfg.tag_prefix = cast(str, section.get("tag_prefix"))
+    if cfg.tag_prefix in ("''", '""', None):
         cfg.tag_prefix = ""
-    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
-    cfg.verbose = get(parser, "verbose")
+    cfg.parentdir_prefix = section.get("parentdir_prefix")
+    if isinstance(section, configparser.SectionProxy):
+        # Make sure configparser translates to bool
+        cfg.verbose = section.getboolean("verbose")
+    else:
+        cfg.verbose = section.get("verbose")
+
     return cfg
 
 
@@ -371,41 +444,48 @@ class NotThisMethod(Exception):
 
 
 # these dictionaries contain VCS-specific tools
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
-        if vcs not in HANDLERS:
-            HANDLERS[vcs] = {}
-        HANDLERS[vcs][method] = f
+        HANDLERS.setdefault(vcs, {})[method] = f
         return f
-
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen(
-                [c] + args,
-                cwd=cwd,
-                env=env,
-                stdout=subprocess.PIPE,
-                stderr=(subprocess.PIPE if hide_stderr else None),
-            )
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -416,28 +496,25 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-LONG_VERSION_PY[
-    "git"
-] = '''
+LONG_VERSION_PY['git'] = r'''
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -446,9 +523,11 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -464,8 +543,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
 
-def get_config():
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -483,13 +569,13 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
@@ -498,22 +584,35 @@ def decorate(f):
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -524,18 +623,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %%s" %% (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %%s (error)" %% dispcmd)
             print("stdout was %%s" %% stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -544,15 +645,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %%s but none started with prefix %%s" %%
@@ -561,41 +661,48 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -608,11 +715,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %%d
@@ -621,7 +728,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%%s', no digits" %% ",".join(refs - tags))
     if verbose:
@@ -630,6 +737,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %%s" %% r)
             return {"version": r,
@@ -645,7 +757,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -656,8 +773,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %%s not under git control" %% root)
@@ -665,24 +789,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%%s*" %% tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -699,7 +856,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%%s'"
                                %% describe_out)
             return pieces
@@ -724,26 +881,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -768,23 +926,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%%d" %% pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%%d.dev%%d" %% (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%%d" %% (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%%d" %% pieces["distance"]
+        rendered = "0.post0.dev%%d" %% pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -811,12 +1017,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -833,7 +1068,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -853,7 +1088,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -873,7 +1108,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -887,10 +1122,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -905,7 +1144,7 @@ def render(pieces, style):
             "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -926,7 +1165,7 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
         return {"version": "0+unknown", "full-revisionid": None,
@@ -953,41 +1192,48 @@ def get_versions():
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -1000,11 +1246,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG) :] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -1013,7 +1259,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r"\d", r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -1021,30 +1267,33 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
     for ref in sorted(tags):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
-            r = ref[len(tag_prefix) :]
+            r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
-            return {
-                "version": r,
-                "full-revisionid": keywords["full"].strip(),
-                "dirty": False,
-                "error": None,
-                "date": date,
-            }
+            return {"version": r,
+                    "full-revisionid": keywords["full"].strip(),
+                    "dirty": False, "error": None,
+                    "date": date}
     # no suitable tags, so version is "0+unknown", but full hex is still there
     if verbose:
         print("no suitable tags, using unknown + full revision id")
-    return {
-        "version": "0+unknown",
-        "full-revisionid": keywords["full"].strip(),
-        "dirty": False,
-        "error": "no suitable tags",
-        "date": None,
-    }
+    return {"version": "0+unknown",
+            "full-revisionid": keywords["full"].strip(),
+            "dirty": False, "error": "no suitable tags", "date": None}
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -1055,7 +1304,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -1063,33 +1320,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(
-        GITS,
-        [
-            "describe",
-            "--tags",
-            "--dirty",
-            "--always",
-            "--long",
-            "--match",
-            "%s*" % tag_prefix,
-        ],
-        cwd=root,
-    )
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -1098,16 +1379,17 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     dirty = git_describe.endswith("-dirty")
     pieces["dirty"] = dirty
     if dirty:
-        git_describe = git_describe[: git_describe.rindex("-dirty")]
+        git_describe = git_describe[:git_describe.rindex("-dirty")]
 
     # now we have TAG-NUM-gHEX or HEX
 
     if "-" in git_describe:
         # TAG-NUM-gHEX
-        mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe)
+        mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
-            pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out
+            # unparsable. Maybe git-describe is misbehaving?
+            pieces["error"] = ("unable to parse git-describe output: '%s'"
+                               % describe_out)
             return pieces
 
         # tag
@@ -1116,12 +1398,10 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
             if verbose:
                 fmt = "tag '%s' doesn't start with prefix '%s'"
                 print(fmt % (full_tag, tag_prefix))
-            pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % (
-                full_tag,
-                tag_prefix,
-            )
+            pieces["error"] = ("tag '%s' doesn't start with prefix '%s'"
+                               % (full_tag, tag_prefix))
             return pieces
-        pieces["closest-tag"] = full_tag[len(tag_prefix) :]
+        pieces["closest-tag"] = full_tag[len(tag_prefix):]
 
         # distance: number of commits since tag
         pieces["distance"] = int(mo.group(2))
@@ -1132,19 +1412,20 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"], cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[
-        0
-    ].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def do_vcs_install(manifest_in, versionfile_source, ipy):
+def do_vcs_install(versionfile_source: str, ipy: Optional[str]) -> None:
     """Git-specific installation logic for Versioneer.
 
     For Git, this means creating/changing .gitattributes to mark _version.py
@@ -1153,36 +1434,40 @@ def do_vcs_install(manifest_in, versionfile_source, ipy):
     GITS = ["git"]
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
-    files = [manifest_in, versionfile_source]
+    files = [versionfile_source]
     if ipy:
         files.append(ipy)
-    try:
-        me = __file__
-        if me.endswith(".pyc") or me.endswith(".pyo"):
-            me = os.path.splitext(me)[0] + ".py"
-        versioneer_file = os.path.relpath(me)
-    except NameError:
-        versioneer_file = "versioneer.py"
-    files.append(versioneer_file)
+    if "VERSIONEER_PEP518" not in globals():
+        try:
+            my_path = __file__
+            if my_path.endswith((".pyc", ".pyo")):
+                my_path = os.path.splitext(my_path)[0] + ".py"
+            versioneer_file = os.path.relpath(my_path)
+        except NameError:
+            versioneer_file = "versioneer.py"
+        files.append(versioneer_file)
     present = False
     try:
-        f = open(".gitattributes", "r")
-        for line in f.readlines():
-            if line.strip().startswith(versionfile_source):
-                if "export-subst" in line.strip().split()[1:]:
-                    present = True
-        f.close()
-    except EnvironmentError:
+        with open(".gitattributes", "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith(versionfile_source):
+                    if "export-subst" in line.strip().split()[1:]:
+                        present = True
+                        break
+    except OSError:
         pass
     if not present:
-        f = open(".gitattributes", "a+")
-        f.write("%s export-subst\n" % versionfile_source)
-        f.close()
+        with open(".gitattributes", "a+") as fobj:
+            fobj.write(f"{versionfile_source} export-subst\n")
         files.append(".gitattributes")
     run_command(GITS, ["add", "--"] + files)
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -1191,30 +1476,23 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
-            return {
-                "version": dirname[len(parentdir_prefix) :],
-                "full-revisionid": None,
-                "dirty": False,
-                "error": None,
-                "date": None,
-            }
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+            return {"version": dirname[len(parentdir_prefix):],
+                    "full-revisionid": None,
+                    "dirty": False, "error": None, "date": None}
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
-        print(
-            "Tried directories %s but none started with prefix %s"
-            % (str(rootdirs), parentdir_prefix)
-        )
+        print("Tried directories %s but none started with prefix %s" %
+              (str(rootdirs), parentdir_prefix))
     raise NotThisMethod("rootdir doesn't start with parentdir_prefix")
 
 
 SHORT_VERSION_PY = """
-# This file was generated by 'versioneer.py' (0.18) from
+# This file was generated by 'versioneer.py' (0.29) from
 # revision-control system data, or from the parent directory name of an
 # unpacked source archive. Distribution tarballs contain a pre-generated copy
 # of this file.
@@ -1231,43 +1509,41 @@ def get_versions():
 """
 
 
-def versions_from_file(filename):
+def versions_from_file(filename: str) -> Dict[str, Any]:
     """Try to determine the version from _version.py if present."""
     try:
         with open(filename) as f:
             contents = f.read()
-    except EnvironmentError:
+    except OSError:
         raise NotThisMethod("unable to read _version.py")
-    mo = re.search(
-        r"version_json = '''\n(.*)'''  # END VERSION_JSON", contents, re.M | re.S
-    )
+    mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
+                   contents, re.M | re.S)
     if not mo:
-        mo = re.search(
-            r"version_json = '''\r\n(.*)'''  # END VERSION_JSON", contents, re.M | re.S
-        )
+        mo = re.search(r"version_json = '''\r\n(.*)'''  # END VERSION_JSON",
+                       contents, re.M | re.S)
     if not mo:
         raise NotThisMethod("no version_json in _version.py")
     return json.loads(mo.group(1))
 
 
-def write_to_version_file(filename, versions):
+def write_to_version_file(filename: str, versions: Dict[str, Any]) -> None:
     """Write the given version number to the given _version.py file."""
-    os.unlink(filename)
-    contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": "))
+    contents = json.dumps(versions, sort_keys=True,
+                          indent=1, separators=(",", ": "))
     with open(filename, "w") as f:
         f.write(SHORT_VERSION_PY % contents)
 
     print("set %s to '%s'" % (filename, versions["version"]))
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -1285,29 +1561,78 @@ def render_pep440(pieces):
                 rendered += ".dirty"
     else:
         # exception #1
-        rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"])
+        rendered = "0+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
         if pieces["dirty"]:
             rendered += ".dirty"
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -1334,12 +1659,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -1356,7 +1710,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -1376,7 +1730,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -1396,26 +1750,28 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
-        return {
-            "version": "unknown",
-            "full-revisionid": pieces.get("long"),
-            "dirty": None,
-            "error": pieces["error"],
-            "date": None,
-        }
+        return {"version": "unknown",
+                "full-revisionid": pieces.get("long"),
+                "dirty": None,
+                "error": pieces["error"],
+                "date": None}
 
     if not style or style == "default":
         style = "pep440"  # the default
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -1425,20 +1781,16 @@ def render(pieces, style):
     else:
         raise ValueError("unknown style '%s'" % style)
 
-    return {
-        "version": rendered,
-        "full-revisionid": pieces["long"],
-        "dirty": pieces["dirty"],
-        "error": None,
-        "date": pieces.get("date"),
-    }
+    return {"version": rendered, "full-revisionid": pieces["long"],
+            "dirty": pieces["dirty"], "error": None,
+            "date": pieces.get("date")}
 
 
 class VersioneerBadRootError(Exception):
     """The project root directory is unknown or missing key files."""
 
 
-def get_versions(verbose=False):
+def get_versions(verbose: bool = False) -> Dict[str, Any]:
     """Get the project version from whatever source is available.
 
     Returns dict with two keys: 'version' and 'full'.
@@ -1453,10 +1805,9 @@ def get_versions(verbose=False):
     assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
     handlers = HANDLERS.get(cfg.VCS)
     assert handlers, "unrecognized VCS '%s'" % cfg.VCS
-    verbose = verbose or cfg.verbose
-    assert (
-        cfg.versionfile_source is not None
-    ), "please set versioneer.versionfile_source"
+    verbose = verbose or bool(cfg.verbose)  # `bool()` used to avoid `None`
+    assert cfg.versionfile_source is not None, \
+        "please set versioneer.versionfile_source"
     assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
 
     versionfile_abs = os.path.join(root, cfg.versionfile_source)
@@ -1510,22 +1861,22 @@ def get_versions(verbose=False):
     if verbose:
         print("unable to compute version")
 
-    return {
-        "version": "0+unknown",
-        "full-revisionid": None,
-        "dirty": None,
-        "error": "unable to compute version",
-        "date": None,
-    }
+    return {"version": "0+unknown", "full-revisionid": None,
+            "dirty": None, "error": "unable to compute version",
+            "date": None}
 
 
-def get_version():
+def get_version() -> str:
     """Get the short version string for this project."""
     return get_versions()["version"]
 
 
-def get_cmdclass():
-    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+def get_cmdclass(cmdclass: Optional[Dict[str, Any]] = None):
+    """Get the custom setuptools subclasses used by Versioneer.
+
+    If the package uses a different cmdclass (e.g. one from numpy), it
+    should be provide as an argument.
+    """
     if "versioneer" in sys.modules:
         del sys.modules["versioneer"]
         # this fixes the "python setup.py develop" case (also 'install' and
@@ -1539,25 +1890,25 @@ def get_cmdclass():
         # parent is protected against the child's "import versioneer". By
         # removing ourselves from sys.modules here, before the child build
         # happens, we protect the child from the parent's versioneer too.
-        # Also see https://github.com/warner/python-versioneer/issues/52
+        # Also see https://github.com/python-versioneer/python-versioneer/issues/52
 
-    cmds = {}
+    cmds = {} if cmdclass is None else cmdclass.copy()
 
-    # we add "version" to both distutils and setuptools
-    from distutils.core import Command
+    # we add "version" to setuptools
+    from setuptools import Command
 
     class cmd_version(Command):
         description = "report generated version string"
-        user_options = []
-        boolean_options = []
+        user_options: List[Tuple[str, str, str]] = []
+        boolean_options: List[str] = []
 
-        def initialize_options(self):
+        def initialize_options(self) -> None:
             pass
 
-        def finalize_options(self):
+        def finalize_options(self) -> None:
             pass
 
-        def run(self):
+        def run(self) -> None:
             vers = get_versions(verbose=True)
             print("Version: %s" % vers["version"])
             print(" full-revisionid: %s" % vers.get("full-revisionid"))
@@ -1565,10 +1916,9 @@ def run(self):
             print(" date: %s" % vers.get("date"))
             if vers["error"]:
                 print(" error: %s" % vers["error"])
-
     cmds["version"] = cmd_version
 
-    # we override "build_py" in both distutils and setuptools
+    # we override "build_py" in setuptools
     #
     # most invocation pathways end up running build_py:
     #  distutils/build -> build_py
@@ -1583,30 +1933,68 @@ def run(self):
     #   then does setup.py bdist_wheel, or sometimes setup.py install
     #  setup.py egg_info -> ?
 
+    # pip install -e . and setuptool/editable_wheel will invoke build_py
+    # but the build_py command is not expected to copy any files.
+
     # we override different "build_py" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.build_py import build_py as _build_py
+    if 'build_py' in cmds:
+        _build_py: Any = cmds['build_py']
     else:
-        from distutils.command.build_py import build_py as _build_py
+        from setuptools.command.build_py import build_py as _build_py
 
     class cmd_build_py(_build_py):
-        def run(self):
+        def run(self) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             versions = get_versions()
             _build_py.run(self)
+            if getattr(self, "editable_mode", False):
+                # During editable installs `.py` and data files are
+                # not copied to build_lib
+                return
             # now locate _version.py in the new build/ directory and replace
             # it with an updated value
             if cfg.versionfile_build:
-                target_versionfile = os.path.join(self.build_lib, cfg.versionfile_build)
+                target_versionfile = os.path.join(self.build_lib,
+                                                  cfg.versionfile_build)
                 print("UPDATING %s" % target_versionfile)
                 write_to_version_file(target_versionfile, versions)
-
     cmds["build_py"] = cmd_build_py
 
-    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
-        from cx_Freeze.dist import build_exe as _build_exe
+    if 'build_ext' in cmds:
+        _build_ext: Any = cmds['build_ext']
+    else:
+        from setuptools.command.build_ext import build_ext as _build_ext
+
+    class cmd_build_ext(_build_ext):
+        def run(self) -> None:
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_ext.run(self)
+            if self.inplace:
+                # build_ext --inplace will only build extensions in
+                # build/lib<..> dir with no _version.py to write to.
+                # As in place builds will already have a _version.py
+                # in the module dir, we do not need to write one.
+                return
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if not cfg.versionfile_build:
+                return
+            target_versionfile = os.path.join(self.build_lib,
+                                              cfg.versionfile_build)
+            if not os.path.exists(target_versionfile):
+                print(f"Warning: {target_versionfile} does not exist, skipping "
+                      "version update. This can happen if you are running build_ext "
+                      "without first running build_py.")
+                return
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile, versions)
+    cmds["build_ext"] = cmd_build_ext
 
+    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
+        from cx_Freeze.dist import build_exe as _build_exe  # type: ignore
         # nczeczulin reports that py2exe won't like the pep440-style string
         # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
         # setup(console=[{
@@ -1615,7 +2003,7 @@ def run(self):
         #   ...
 
         class cmd_build_exe(_build_exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1627,28 +2015,24 @@ def run(self):
                 os.unlink(target_versionfile)
                 with open(cfg.versionfile_source, "w") as f:
                     LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(
-                        LONG
-                        % {
-                            "DOLLAR": "$",
-                            "STYLE": cfg.style,
-                            "TAG_PREFIX": cfg.tag_prefix,
-                            "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                            "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                        }
-                    )
-
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
         cmds["build_exe"] = cmd_build_exe
         del cmds["build_py"]
 
-    if "py2exe" in sys.modules:  # py2exe enabled?
+    if 'py2exe' in sys.modules:  # py2exe enabled?
         try:
-            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+            from py2exe.setuptools_buildexe import py2exe as _py2exe  # type: ignore
         except ImportError:
-            from py2exe.build_exe import py2exe as _py2exe  # py2
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # type: ignore
 
         class cmd_py2exe(_py2exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1660,27 +2044,60 @@ def run(self):
                 os.unlink(target_versionfile)
                 with open(cfg.versionfile_source, "w") as f:
                     LONG = LONG_VERSION_PY[cfg.VCS]
-                    f.write(
-                        LONG
-                        % {
-                            "DOLLAR": "$",
-                            "STYLE": cfg.style,
-                            "TAG_PREFIX": cfg.tag_prefix,
-                            "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                            "VERSIONFILE_SOURCE": cfg.versionfile_source,
-                        }
-                    )
-
+                    f.write(LONG %
+                            {"DOLLAR": "$",
+                             "STYLE": cfg.style,
+                             "TAG_PREFIX": cfg.tag_prefix,
+                             "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                             "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                             })
         cmds["py2exe"] = cmd_py2exe
 
+    # sdist farms its file list building out to egg_info
+    if 'egg_info' in cmds:
+        _egg_info: Any = cmds['egg_info']
+    else:
+        from setuptools.command.egg_info import egg_info as _egg_info
+
+    class cmd_egg_info(_egg_info):
+        def find_sources(self) -> None:
+            # egg_info.find_sources builds the manifest list and writes it
+            # in one shot
+            super().find_sources()
+
+            # Modify the filelist and normalize it
+            root = get_root()
+            cfg = get_config_from_root(root)
+            self.filelist.append('versioneer.py')
+            if cfg.versionfile_source:
+                # There are rare cases where versionfile_source might not be
+                # included by default, so we must be explicit
+                self.filelist.append(cfg.versionfile_source)
+            self.filelist.sort()
+            self.filelist.remove_duplicates()
+
+            # The write method is hidden in the manifest_maker instance that
+            # generated the filelist and was thrown away
+            # We will instead replicate their final normalization (to unicode,
+            # and POSIX-style paths)
+            from setuptools import unicode_utils
+            normalized = [unicode_utils.filesys_decode(f).replace(os.sep, '/')
+                          for f in self.filelist.files]
+
+            manifest_filename = os.path.join(self.egg_info, 'SOURCES.txt')
+            with open(manifest_filename, 'w') as fobj:
+                fobj.write('\n'.join(normalized))
+
+    cmds['egg_info'] = cmd_egg_info
+
     # we override different "sdist" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.sdist import sdist as _sdist
+    if 'sdist' in cmds:
+        _sdist: Any = cmds['sdist']
     else:
-        from distutils.command.sdist import sdist as _sdist
+        from setuptools.command.sdist import sdist as _sdist
 
     class cmd_sdist(_sdist):
-        def run(self):
+        def run(self) -> None:
             versions = get_versions()
             self._versioneer_generated_versions = versions
             # unless we update this, the command will keep using the old
@@ -1688,7 +2105,7 @@ def run(self):
             self.distribution.metadata.version = versions["version"]
             return _sdist.run(self)
 
-        def make_release_tree(self, base_dir, files):
+        def make_release_tree(self, base_dir: str, files: List[str]) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             _sdist.make_release_tree(self, base_dir, files)
@@ -1697,10 +2114,8 @@ def make_release_tree(self, base_dir, files):
             # updated value
             target_versionfile = os.path.join(base_dir, cfg.versionfile_source)
             print("UPDATING %s" % target_versionfile)
-            write_to_version_file(
-                target_versionfile, self._versioneer_generated_versions
-            )
-
+            write_to_version_file(target_versionfile,
+                                  self._versioneer_generated_versions)
     cmds["sdist"] = cmd_sdist
 
     return cmds
@@ -1743,25 +2158,28 @@ def make_release_tree(self, base_dir, files):
 
 """
 
-INIT_PY_SNIPPET = """
+OLD_SNIPPET = """
 from ._version import get_versions
 __version__ = get_versions()['version']
 del get_versions
 """
 
+INIT_PY_SNIPPET = """
+from . import {0}
+__version__ = {0}.get_versions()['version']
+"""
+
 
-def do_setup():
-    """Main VCS-independent setup function for installing Versioneer."""
+def do_setup() -> int:
+    """Do main VCS-independent setup function for installing Versioneer."""
     root = get_root()
     try:
         cfg = get_config_from_root(root)
-    except (
-        EnvironmentError,
-        configparser.NoSectionError,
-        configparser.NoOptionError,
-    ) as e:
-        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
-            print("Adding sample versioneer config to setup.cfg", file=sys.stderr)
+    except (OSError, configparser.NoSectionError,
+            configparser.NoOptionError) as e:
+        if isinstance(e, (OSError, configparser.NoSectionError)):
+            print("Adding sample versioneer config to setup.cfg",
+                  file=sys.stderr)
             with open(os.path.join(root, "setup.cfg"), "a") as f:
                 f.write(SAMPLE_CONFIG)
         print(CONFIG_ERROR, file=sys.stderr)
@@ -1770,76 +2188,46 @@ def do_setup():
     print(" creating %s" % cfg.versionfile_source)
     with open(cfg.versionfile_source, "w") as f:
         LONG = LONG_VERSION_PY[cfg.VCS]
-        f.write(
-            LONG
-            % {
-                "DOLLAR": "$",
-                "STYLE": cfg.style,
-                "TAG_PREFIX": cfg.tag_prefix,
-                "PARENTDIR_PREFIX": cfg.parentdir_prefix,
-                "VERSIONFILE_SOURCE": cfg.versionfile_source,
-            }
-        )
-
-    ipy = os.path.join(os.path.dirname(cfg.versionfile_source), "__init__.py")
+        f.write(LONG % {"DOLLAR": "$",
+                        "STYLE": cfg.style,
+                        "TAG_PREFIX": cfg.tag_prefix,
+                        "PARENTDIR_PREFIX": cfg.parentdir_prefix,
+                        "VERSIONFILE_SOURCE": cfg.versionfile_source,
+                        })
+
+    ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
+                       "__init__.py")
+    maybe_ipy: Optional[str] = ipy
     if os.path.exists(ipy):
         try:
             with open(ipy, "r") as f:
                 old = f.read()
-        except EnvironmentError:
+        except OSError:
             old = ""
-        if INIT_PY_SNIPPET not in old:
+        module = os.path.splitext(os.path.basename(cfg.versionfile_source))[0]
+        snippet = INIT_PY_SNIPPET.format(module)
+        if OLD_SNIPPET in old:
+            print(" replacing boilerplate in %s" % ipy)
+            with open(ipy, "w") as f:
+                f.write(old.replace(OLD_SNIPPET, snippet))
+        elif snippet not in old:
             print(" appending to %s" % ipy)
             with open(ipy, "a") as f:
-                f.write(INIT_PY_SNIPPET)
+                f.write(snippet)
         else:
             print(" %s unmodified" % ipy)
     else:
         print(" %s doesn't exist, ok" % ipy)
-        ipy = None
-
-    # Make sure both the top-level "versioneer.py" and versionfile_source
-    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
-    # they'll be copied into source distributions. Pip won't be able to
-    # install the package without this.
-    manifest_in = os.path.join(root, "MANIFEST.in")
-    simple_includes = set()
-    try:
-        with open(manifest_in, "r") as f:
-            for line in f:
-                if line.startswith("include "):
-                    for include in line.split()[1:]:
-                        simple_includes.add(include)
-    except EnvironmentError:
-        pass
-    # That doesn't cover everything MANIFEST.in can do
-    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
-    # it might give some false negatives. Appending redundant 'include'
-    # lines is safe, though.
-    if "versioneer.py" not in simple_includes:
-        print(" appending 'versioneer.py' to MANIFEST.in")
-        with open(manifest_in, "a") as f:
-            f.write("include versioneer.py\n")
-    else:
-        print(" 'versioneer.py' already in MANIFEST.in")
-    if cfg.versionfile_source not in simple_includes:
-        print(
-            " appending versionfile_source ('%s') to MANIFEST.in"
-            % cfg.versionfile_source
-        )
-        with open(manifest_in, "a") as f:
-            f.write("include %s\n" % cfg.versionfile_source)
-    else:
-        print(" versionfile_source already in MANIFEST.in")
+        maybe_ipy = None
 
     # Make VCS-specific changes. For git, this means creating/changing
     # .gitattributes to mark _version.py for export-subst keyword
     # substitution.
-    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    do_vcs_install(cfg.versionfile_source, maybe_ipy)
     return 0
 
 
-def scan_setup_py():
+def scan_setup_py() -> int:
     """Validate the contents of setup.py against Versioneer's expectations."""
     found = set()
     setters = False
@@ -1876,10 +2264,14 @@ def scan_setup_py():
     return errors
 
 
+def setup_command() -> NoReturn:
+    """Set up Versioneer and exit with appropriate error code."""
+    errors = do_setup()
+    errors += scan_setup_py()
+    sys.exit(1 if errors else 0)
+
+
 if __name__ == "__main__":
     cmd = sys.argv[1]
     if cmd == "setup":
-        errors = do_setup()
-        errors += scan_setup_py()
-        if errors:
-            sys.exit(1)
+        setup_command()

From 4afa5f14b082b5faebce21feb4abe7b246286fb0 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 15:22:27 +0200
Subject: [PATCH 427/441] update for documentation

---
 .github/workflows/python-app.yml | 2 +-
 .readthedocs.yml                 | 4 +++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 7c93faae..f2f4753e 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -10,7 +10,7 @@ jobs:
     strategy:
       matrix:
         # os: [ubuntu-latest, macos-latest, windows-latest]
-        os: [ubuntu-lts-latest, windows-latest]
+        os: [ubuntu-latest, windows-latest]
         python_version: ['3.10', '3.11', '3.12']
     name: Run py eddy tracker build tests
     runs-on: ${{ matrix.os }}
diff --git a/.readthedocs.yml b/.readthedocs.yml
index a04495b6..4b698a62 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -4,8 +4,10 @@ conda:
 build:
   os: ubuntu-lts-latest
   tools:
-    python: "3.10"
+    python: "mambaforge-latest"
 python:
   install:
     - method: setuptools
       path: .
+sphinx:
+  configuration: docs/conf.py
\ No newline at end of file

From 3a54bbb6e50ebc38dcb334539dcb5b456a408127 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 29 Jul 2024 15:24:56 +0200
Subject: [PATCH 428/441] again doc

---
 .readthedocs.yml | 2 --
 1 file changed, 2 deletions(-)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 4b698a62..ddfbb747 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -9,5 +9,3 @@ python:
   install:
     - method: setuptools
       path: .
-sphinx:
-  configuration: docs/conf.py
\ No newline at end of file

From d5d3aed5f4ac51b361697638144fc19410f04093 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 12 Nov 2024 17:02:22 +0100
Subject: [PATCH 429/441] correction on lagerloef uv

---
 src/py_eddy_tracker/dataset/grid.py | 67 +++++++++++++----------------
 1 file changed, 29 insertions(+), 38 deletions(-)

diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index edb96bac..d8a48f69 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -1670,7 +1670,7 @@ def spectrum_lonlat(self, grid_name, area=None, ref=None, **kwargs):
                 (lat_content[0], lat_content[1] / ref_lat_content[1]),
             )
 
-    def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=False):
+    def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=False, second=False):
         if not isinstance(schema, int) and schema < 1:
             raise Exception("schema must be a positive int")
 
@@ -1694,13 +1694,16 @@ def compute_finite_difference(self, data, schema=1, mode="reflect", vertical=Fal
                 data2[:schema] = nan
 
         # Distance for one degree
-        d = self.EARTH_RADIUS * 2 * pi / 360
+        d = self.EARTH_RADIUS * 2 * pi / 360 * 2 * schema
         # Mulitply by 2 step
         if vertical:
-            d *= self.ystep * 2 * schema
+            d *= self.ystep 
         else:
-            d *= self.xstep * cos(deg2rad(self.y_c)) * 2 * schema
-        return (data1 - data2) / d
+            d *= self.xstep * cos(deg2rad(self.y_c))
+        if second:
+            return (data1 + data2 - 2 * data) / (d ** 2 / 4)
+        else:
+            return (data1 - data2) / d
 
     def compute_stencil(
         self, data, stencil_halfwidth=4, mode="reflect", vertical=False
@@ -1787,13 +1790,14 @@ def compute_stencil(
         )
         return ma.array(g, mask=m)
 
-    def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
-        self.add_uv(grid_height, uname, vname)
+    def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15, **kwargs):
+        self.add_uv(grid_height, uname, vname, **kwargs)
         latmax = 5
-        _, (i_start, i_end) = self.nearest_grd_indice((0, 0), (-latmax, latmax))
+        _, i_start = self.nearest_grd_indice(0, -latmax)
+        _, i_end = self.nearest_grd_indice(0, latmax)
         sl = slice(i_start, i_end)
         # Divide by sideral day
-        lat = self.y_c[sl]
+        lat = self.y_c
         gob = (
             cos(deg2rad(lat))
             * ones((self.x_c.shape[0], 1))
@@ -1807,39 +1811,26 @@ def add_uv_lagerloef(self, grid_height, uname="u", vname="v", schema=15):
         mode = "wrap" if self.is_circular() else "reflect"
 
         # fill data to compute a finite difference on all point
-        data = self.convolve_filter_with_dynamic_kernel(
-            grid_height,
-            self.kernel_bessel,
-            lat_max=10,
-            wave_length=500,
-            order=1,
-            extend=0.1,
-        )
-        data = self.convolve_filter_with_dynamic_kernel(
-            data, self.kernel_bessel, lat_max=10, wave_length=500, order=1, extend=0.1
-        )
-        data = self.convolve_filter_with_dynamic_kernel(
-            data, self.kernel_bessel, lat_max=10, wave_length=500, order=1, extend=0.1
-        )
+        kw_filter = dict(kernel_func=self.kernel_bessel, order=1, extend=.1)
+        data = self.convolve_filter_with_dynamic_kernel(grid_height, wave_length=500, **kw_filter, lat_max=6+5+2+3)
         v_lagerloef = (
             self.compute_finite_difference(
-                self.compute_finite_difference(data, mode=mode, schema=schema),
-                mode=mode,
-                schema=schema,
-            )[:, sl]
-            * gob
-        )
-        u_lagerloef = (
-            -self.compute_finite_difference(
-                self.compute_finite_difference(data, vertical=True, schema=schema),
-                vertical=True,
-                schema=schema,
-            )[:, sl]
+                self.compute_finite_difference(data, mode=mode, schema=1),
+                vertical=True, schema=1
+            )
             * gob
         )
-        w = 1 - exp(-((lat / 2.2) ** 2))
-        self.vars[vname][:, sl] = self.vars[vname][:, sl] * w + v_lagerloef * (1 - w)
-        self.vars[uname][:, sl] = self.vars[uname][:, sl] * w + u_lagerloef * (1 - w)
+        u_lagerloef = -self.compute_finite_difference(data, vertical=True, schema=schema, second=True) * gob
+
+        v_lagerloef = self.convolve_filter_with_dynamic_kernel(v_lagerloef, wave_length=195, **kw_filter, lat_max=6 + 5 +2)
+        v_lagerloef = self.convolve_filter_with_dynamic_kernel(v_lagerloef, wave_length=416, **kw_filter, lat_max=6 + 5)
+        v_lagerloef = self.convolve_filter_with_dynamic_kernel(v_lagerloef, wave_length=416, **kw_filter, lat_max=6)
+        u_lagerloef = self.convolve_filter_with_dynamic_kernel(u_lagerloef, wave_length=195, **kw_filter, lat_max=6 + 5 +2)
+        u_lagerloef = self.convolve_filter_with_dynamic_kernel(u_lagerloef, wave_length=416, **kw_filter, lat_max=6 + 5)
+        u_lagerloef = self.convolve_filter_with_dynamic_kernel(u_lagerloef, wave_length=416, **kw_filter, lat_max=6)
+        w = 1 - exp(-((lat[sl] / 2.2) ** 2))
+        self.vars[vname][:, sl] = self.vars[vname][:, sl] * w + v_lagerloef[:, sl] * (1 - w)
+        self.vars[uname][:, sl] = self.vars[uname][:, sl] * w + u_lagerloef[:, sl] * (1 - w)
 
     def add_uv(self, grid_height, uname="u", vname="v", stencil_halfwidth=4):
         r"""Compute a u and v grid

From f6ae4ee6d6d21e70dd75344e85617978b6306637 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 15 Nov 2024 16:14:20 +0100
Subject: [PATCH 430/441] fix matplotlib and zarr version

---
 environment.yml  | 1 -
 requirements.txt | 4 ++--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/environment.yml b/environment.yml
index 12ce70e7..e9a05ac0 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,7 +1,6 @@
 name: binder-pyeddytracker
 channels:
   - conda-forge
-  - defaults
 dependencies:
   - python=3.10
   - pip
diff --git a/requirements.txt b/requirements.txt
index 4c8af099..556cabbf 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,11 @@
-matplotlib
+matplotlib < 3.8 # need an update of contour management
 opencv-python
 pint
 polygon3
 pyyaml
 requests
 scipy
-zarr
+zarr < 3.0
 netCDF4
 numpy
 numba
\ No newline at end of file

From 66f2f313187dd30920db8d80a0444aff04259443 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 15 Nov 2024 16:18:09 +0100
Subject: [PATCH 431/441] add requirement on environement doc

---
 doc/environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index 89fcbe9c..065c1027 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -1,11 +1,11 @@
 channels:
   - conda-forge
-  - defaults
 dependencies:
   - python=3.10
   - ffmpeg
   - pip
   - pip:
+    - -r ../requirements.txt
     - sphinx-gallery
     - sphinx_rtd_theme
     - sphinx>=3.1

From 449b7f87292adbcbd9fb4c2b71a4890176282066 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 19 Nov 2024 10:09:53 +0100
Subject: [PATCH 432/441] update python version condition

---
 doc/environment.yml | 2 +-
 environment.yml     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index 065c1027..7cf02b76 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -1,7 +1,7 @@
 channels:
   - conda-forge
 dependencies:
-  - python=3.10
+  - python>=3.10
   - ffmpeg
   - pip
   - pip:
diff --git a/environment.yml b/environment.yml
index e9a05ac0..819d28d7 100644
--- a/environment.yml
+++ b/environment.yml
@@ -2,7 +2,7 @@ name: binder-pyeddytracker
 channels:
   - conda-forge
 dependencies:
-  - python=3.10
+  - python>=3.10
   - pip
   - ffmpeg
   - pip:

From 99a848fa0cd38693ee5d62ac6a2e6a2324996cdb Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 20 Nov 2024 15:24:34 +0100
Subject: [PATCH 433/441] solve doc problem (#255)

* reject python 3.13
* use pip instead of setuptools
* add sample id to install
---
 .readthedocs.yml                              |  2 +-
 doc/environment.yml                           |  3 ++-
 environment.yml                               |  2 +-
 .../pet_eddy_detection_ACC.py                 |  3 ++-
 src/py_eddy_tracker/data/__init__.py          | 19 +++++++++++++------
 5 files changed, 19 insertions(+), 10 deletions(-)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index ddfbb747..5ac02e12 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -7,5 +7,5 @@ build:
     python: "mambaforge-latest"
 python:
   install:
-    - method: setuptools
+    - method: pip
       path: .
diff --git a/doc/environment.yml b/doc/environment.yml
index 7cf02b76..063a60de 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -1,11 +1,12 @@
 channels:
   - conda-forge
 dependencies:
-  - python>=3.10
+  - python>=3.10, <3.13
   - ffmpeg
   - pip
   - pip:
     - -r ../requirements.txt
+    - git+https://github.com/AntSimi/py-eddy-tracker-sample-id.git
     - sphinx-gallery
     - sphinx_rtd_theme
     - sphinx>=3.1
diff --git a/environment.yml b/environment.yml
index 819d28d7..e94c7bc1 100644
--- a/environment.yml
+++ b/environment.yml
@@ -2,7 +2,7 @@ name: binder-pyeddytracker
 channels:
   - conda-forge
 dependencies:
-  - python>=3.10
+  - python>=3.10, <3.13
   - pip
   - ffmpeg
   - pip:
diff --git a/examples/02_eddy_identification/pet_eddy_detection_ACC.py b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
index 3d3d4ac1..d12c62f3 100644
--- a/examples/02_eddy_identification/pet_eddy_detection_ACC.py
+++ b/examples/02_eddy_identification/pet_eddy_detection_ACC.py
@@ -7,6 +7,7 @@
 Two detections are provided : with a filtered ADT and without filtering
 
 """
+
 from datetime import datetime
 
 from matplotlib import pyplot as plt, style
@@ -80,7 +81,7 @@ def set_fancy_labels(fig, ticklabelsize=14, labelsize=14, labelweight="semibold"
 # Identification
 # ^^^^^^^^^^^^^^
 # Run the identification step with slices of 2 mm
-date = datetime(2016, 5, 15)
+date = datetime(2019, 2, 23)
 kw_ident = dict(
     date=date, step=0.002, shape_error=70, sampling=30, uname="u", vname="v"
 )
diff --git a/src/py_eddy_tracker/data/__init__.py b/src/py_eddy_tracker/data/__init__.py
index f14fee87..bf062983 100644
--- a/src/py_eddy_tracker/data/__init__.py
+++ b/src/py_eddy_tracker/data/__init__.py
@@ -8,6 +8,7 @@
     20160515 adt None None longitude latitude . \
     --cut 800 --fil 1
 """
+
 import io
 import lzma
 from os import path
@@ -26,14 +27,20 @@ def get_remote_demo_sample(path):
         if path.endswith(".nc"):
             return io.BytesIO(content)
     else:
-        if path.endswith(".nc"):
+        try:
+            import py_eddy_tracker_sample_id
+            if path.endswith(".nc"):
+                return py_eddy_tracker_sample_id.get_remote_demo_sample(path)
+            content = open(py_eddy_tracker_sample_id.get_remote_demo_sample(f"{path}.tar.xz"), "rb").read()
+        except:
+            if path.endswith(".nc"):
+                content = requests.get(
+                    f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}"
+                ).content
+                return io.BytesIO(content)
             content = requests.get(
-                f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}"
+                f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
             ).content
-            return io.BytesIO(content)
-        content = requests.get(
-            f"https://github.com/AntSimi/py-eddy-tracker-sample-id/raw/master/{path}.tar.xz"
-        ).content
 
     # Tar module could manage lzma tar, but it will apply uncompress for each extractfile
     tar = tarfile.open(mode="r", fileobj=io.BytesIO(lzma.decompress(content)))

From 0a4ed708d87cc4073634beac8fb88a4b16747f0e Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Mon, 6 Jan 2025 16:18:47 +0100
Subject: [PATCH 434/441] bug correction toward direction #252

---
 src/py_eddy_tracker/appli/network.py         |  2 +-
 src/py_eddy_tracker/dataset/grid.py          | 13 ++++++-------
 src/py_eddy_tracker/observations/tracking.py |  2 +-
 3 files changed, 8 insertions(+), 9 deletions(-)

diff --git a/src/py_eddy_tracker/appli/network.py b/src/py_eddy_tracker/appli/network.py
index b8c2da51..0a3d06ca 100644
--- a/src/py_eddy_tracker/appli/network.py
+++ b/src/py_eddy_tracker/appli/network.py
@@ -283,7 +283,7 @@ def previous_obs(d, i_seg):
 def display_compare(ref, others):
     def display(value, ref=None):
         if ref:
-            outs = [f"{v/ref[k] * 100:.1f}% ({v})" for k, v in value.items()]
+            outs = [f"{v / ref[k] * 100:.1f}% ({v})" for k, v in value.items()]
         else:
             outs = value
         return "".join([f"{v:^18}" for v in outs])
diff --git a/src/py_eddy_tracker/dataset/grid.py b/src/py_eddy_tracker/dataset/grid.py
index d8a48f69..f15503b2 100644
--- a/src/py_eddy_tracker/dataset/grid.py
+++ b/src/py_eddy_tracker/dataset/grid.py
@@ -9,6 +9,7 @@
 from matplotlib.path import Path as BasePath
 from netCDF4 import Dataset
 from numba import njit, prange, types as numba_types
+import numpy as np
 from numpy import (
     arange,
     array,
@@ -35,7 +36,6 @@
     percentile,
     pi,
     radians,
-    round_,
     sin,
     sinc,
     sqrt,
@@ -2251,12 +2251,11 @@ def compute_pixel_path(x0, y0, x1, y1, x_ori, y_ori, x_step, y_step, nb_x):
     i_x1 = empty(nx, dtype=numba_types.int_)
     i_y0 = empty(nx, dtype=numba_types.int_)
     i_y1 = empty(nx, dtype=numba_types.int_)
-    # Because round_ is not accepted with array in numba
     for i in range(nx):
-        i_x0[i] = round_(((x0[i] - x_ori) % 360) / x_step)
-        i_x1[i] = round_(((x1[i] - x_ori) % 360) / x_step)
-        i_y0[i] = round_((y0[i] - y_ori) / y_step)
-        i_y1[i] = round_((y1[i] - y_ori) / y_step)
+        i_x0[i] = np.round(((x0[i] - x_ori) % 360) / x_step)
+        i_x1[i] = np.round(((x1[i] - x_ori) % 360) / x_step)
+        i_y0[i] = np.round((y0[i] - y_ori) / y_step)
+        i_y1[i] = np.round((y1[i] - y_ori) / y_step)
     # Delta index of x
     d_x = i_x1 - i_x0
     d_x = (d_x + nb_x // 2) % nb_x - (nb_x // 2)
@@ -2941,7 +2940,7 @@ def compute_stencil(x, y, h, m, earth_radius, vertical=False, stencil_halfwidth=
             h_3, h_2, h_1, h0 = h[-4, j], h[-3, j], h[-2, j], h[-1, j]
             m_3, m_2, m_1, m0 = m[-4, j], m[-3, j], m[-2, j], m[-1, j]
         else:
-            m_3, m_2, m_1, m0 = False, False, False, False
+            m_3, m_2, m_1, m0 = True, True, True, True
         h1, h2, h3, h4 = h[0, j], h[1, j], h[2, j], h[3, j]
         m1, m2, m3, m4 = m[0, j], m[1, j], m[2, j], m[3, j]
         for i in range(nb_x):
diff --git a/src/py_eddy_tracker/observations/tracking.py b/src/py_eddy_tracker/observations/tracking.py
index 164f9724..fa1c1f93 100644
--- a/src/py_eddy_tracker/observations/tracking.py
+++ b/src/py_eddy_tracker/observations/tracking.py
@@ -380,7 +380,7 @@ def extract_toward_direction(self, west=True, delta_lon=None):
         d_lon = lon[i1] - lon[i0]
         m = d_lon < 0 if west else d_lon > 0
         if delta_lon is not None:
-            m *= delta_lon < d_lon
+            m *= delta_lon < abs(d_lon)
         m = m.repeat(nb)
         return self.extract_with_mask(m)
 

From c069878e3f69cd908c8bef6906f05ca4f015ef0e Mon Sep 17 00:00:00 2001
From: Antoine Delepoulle <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 20 Nov 2024 15:24:34 +0100
Subject: [PATCH 435/441] Add method to get period information for each network

---
 src/py_eddy_tracker/observations/network.py | 34 +++++++++++++++++----
 1 file changed, 28 insertions(+), 6 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index a2e2daed..87ef4a78 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -9,6 +9,7 @@
 import netCDF4
 from numba import njit, types as nb_types
 from numba.typed import List
+import numpy as np
 from numpy import (
     arange,
     array,
@@ -124,7 +125,7 @@ def __repr__(self):
             f"Atlas with {self.nb_network} networks ({self.nb_network / period:0.0f} networks/year),"
             f" {self.nb_segment} segments ({self.nb_segment / period:0.0f} segments/year), {len(self)} observations ({len(self) / period:0.0f} observations/year)",
             f"    {m_event.size} merging ({m_event.size / period:0.0f} merging/year), {s_event.size} splitting ({s_event.size / period:0.0f} splitting/year)",
-            f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network> big].sum()} observations cumulate)",
+            f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network > big].sum()} observations cumulate)",
             f"    {nb_trash} observations in trash",
         ]
         return "\n".join(infos)
@@ -225,6 +226,12 @@ def network_size(self, id_networks=None):
             i = id_networks - self.index_network[2]
             return self.index_network[1][i] - self.index_network[0][i]
 
+    def networks_period(self):
+        """
+        Return period for each network
+        """
+        return get_period_with_index(self.time, *self.index_network[:2])
+
     def unique_segment_to_id(self, id_unique):
         """Return id network and id segment for a unique id
 
@@ -1788,8 +1795,8 @@ def date2file(julian_day):
             )
             logger.info(
                 (
-                    f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
-                    f" : {time.time()-_timestamp:5.2f}s"
+                    f"coherence {_t} / {range_end - 1} ({(_t - range_start) / (range_end - range_start - 1):.1%})"
+                    f" : {time.time() - _timestamp:5.2f}s"
                 )
             )
 
@@ -1865,8 +1872,8 @@ def date2file(julian_day):
             )
             logger.info(
                 (
-                    f"coherence {_t} / {range_end-1} ({(_t - range_start) / (range_end - range_start-1):.1%})"
-                    f" : {time.time()-_timestamp:5.2f}s"
+                    f"coherence {_t} / {range_end - 1} ({(_t - range_start) / (range_end - range_start - 1):.1%})"
+                    f" : {time.time() - _timestamp:5.2f}s"
                 )
             )
         return itf_final, ptf_final
@@ -2065,7 +2072,7 @@ def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
         nb_alone, nb_obs, nb_gr = (gr == self.NOGROUP).sum(), len(gr), len(unique(gr))
         logger.info(
             f"{nb_alone} alone / {nb_obs} obs, {nb_gr} groups, "
-            f"{nb_alone *100./nb_obs:.2f} % alone, {(nb_obs - nb_alone) / (nb_gr - 1):.1f} obs/group"
+            f"{nb_alone * 100. / nb_obs:.2f} % alone, {(nb_obs - nb_alone) / (nb_gr - 1):.1f} obs/group"
         )
         return gr
 
@@ -2316,3 +2323,18 @@ def mask_follow_obs(m, next_obs, time, indexs, dt=3):
             m[i_next] = True
             i_next = next_obs[i_next]
             dt_ = abs(time[i_next] - t0)
+
+
+@njit(cache=True)
+def get_period_with_index(t, i0, i1):
+    """Return peek to peek cover by each slice define by i0 and i1
+
+    :param array t: array which contain values to estimate spread
+    :param array i0: index which determine start of slice
+    :param array i1: index which determine end of slice
+    :return array: Peek to peek of t
+    """
+    periods = np.empty(i0.size, t.dtype)
+    for i in range(i0.size):
+        periods[i] = t[i0[i] : i1[i]].ptp()
+    return periods

From 7ad635def9c26d02f2b00cf4f8c71ff4af449e98 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 10 Jan 2025 15:46:10 +0100
Subject: [PATCH 436/441] In cas of empty slice continue and set period to 0

---
 src/py_eddy_tracker/observations/network.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 87ef4a78..393dae78 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -2336,5 +2336,8 @@ def get_period_with_index(t, i0, i1):
     """
     periods = np.empty(i0.size, t.dtype)
     for i in range(i0.size):
+        if i1[i] == i0[i]:
+            periods[i] = 0
+            continue
         periods[i] = t[i0[i] : i1[i]].ptp()
     return periods

From 1c42ae3358e62055646c11df1d2916de8c3dd941 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Tue, 28 Jan 2025 15:52:09 +0100
Subject: [PATCH 437/441] add docs conf.py

---
 .readthedocs.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.readthedocs.yml b/.readthedocs.yml
index 5ac02e12..ba36f8ea 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -9,3 +9,5 @@ python:
   install:
     - method: pip
       path: .
+sphinx:
+  configuration: doc/conf.py
\ No newline at end of file

From a39435dd2a02b0f313765452bdaebe39203769cf Mon Sep 17 00:00:00 2001
From: "J. Gamot" <jgamot@groupcls.com>
Date: Thu, 16 Jan 2025 17:07:06 +0100
Subject: [PATCH 438/441] modifications network file

---
 src/py_eddy_tracker/appli/gui.py            |  7 ++-
 src/py_eddy_tracker/observations/network.py | 63 ++++++++++++++++++---
 2 files changed, 60 insertions(+), 10 deletions(-)

diff --git a/src/py_eddy_tracker/appli/gui.py b/src/py_eddy_tracker/appli/gui.py
index 4a8cdeb0..c3d7619b 100644
--- a/src/py_eddy_tracker/appli/gui.py
+++ b/src/py_eddy_tracker/appli/gui.py
@@ -11,7 +11,7 @@
 from matplotlib.animation import FuncAnimation
 from matplotlib.axes import Axes
 from matplotlib.collections import LineCollection
-from numpy import arange, where
+from numpy import arange, where, nan
 
 from .. import EddyParser
 from ..gui import GUI
@@ -58,7 +58,10 @@ def setup(
         self.kw_label["fontweight"] = kwargs.pop("fontweight", "demibold")
         # To text each visible eddy
         if field_txt:
-            self.field_txt = self.eddy[field_txt]
+            if isinstance(field_txt,str):
+                self.field_txt = self.eddy[field_txt]
+            else :
+                self.field_txt=field_txt
         if field_color:
             # To color each visible eddy
             self.field_color = self.eddy[field_color].astype("f4")
diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index 393dae78..ef0b02b4 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -5,7 +5,8 @@
 from glob import glob
 import logging
 import time
-
+from datetime import timedelta, datetime
+import os
 import netCDF4
 from numba import njit, types as nb_types
 from numba.typed import List
@@ -16,6 +17,7 @@
     bincount,
     bool_,
     concatenate,
+
     empty,
     nan,
     ones,
@@ -120,6 +122,7 @@ def __repr__(self):
         period = (self.period[1] - self.period[0]) / 365.25
         nb_by_network = self.network_size()
         nb_trash = 0 if self.ref_index != 0 else nb_by_network[0]
+        lifetime=self.lifetime
         big = 50_000
         infos = [
             f"Atlas with {self.nb_network} networks ({self.nb_network / period:0.0f} networks/year),"
@@ -127,6 +130,7 @@ def __repr__(self):
             f"    {m_event.size} merging ({m_event.size / period:0.0f} merging/year), {s_event.size} splitting ({s_event.size / period:0.0f} splitting/year)",
             f"    with {(nb_by_network > big).sum()} network with more than {big} obs and the biggest have {nb_by_network.max()} observations ({nb_by_network[nb_by_network > big].sum()} observations cumulate)",
             f"    {nb_trash} observations in trash",
+            f" {lifetime.max()} days max of lifetime",
         ]
         return "\n".join(infos)
 
@@ -201,6 +205,13 @@ def ref_segment_track_index(self):
     @property
     def ref_index(self):
         return self.index_network[2]
+    
+    @property
+    def lifetime(self):
+        """Return lifetime for each observation"""
+        lt=self.networks_period.astype("int")
+        nb_by_network=self.network_size()
+        return lt.repeat(nb_by_network)
 
     def network_segment_size(self, id_networks=None):
         """Get number of segment by network
@@ -226,12 +237,15 @@ def network_size(self, id_networks=None):
             i = id_networks - self.index_network[2]
             return self.index_network[1][i] - self.index_network[0][i]
 
+    @property
     def networks_period(self):
         """
         Return period for each network
         """
         return get_period_with_index(self.time, *self.index_network[:2])
 
+    
+    
     def unique_segment_to_id(self, id_unique):
         """Return id network and id segment for a unique id
 
@@ -281,7 +295,7 @@ def astype(self, cls):
                 new[k][:] = self[k][:]
         new.sign_type = self.sign_type
         return new
-
+    
     def longer_than(self, nb_day_min=-1, nb_day_max=-1):
         """
         Select network on time duration
@@ -1132,23 +1146,29 @@ def segment_track_array(self):
             self._segment_track_array = build_unique_array(self.segment, self.track)
         return self._segment_track_array
 
-    def birth_event(self):
+    def birth_event(self, only_index=False):
         """Extract birth events."""
         i_start, _, _ = self.index_segment_track
         indices = i_start[self.previous_obs[i_start] == -1]
         if self.first_is_trash():
             indices = indices[1:]
-        return self.extract_event(indices)
-
+        if only_index: 
+            return indices
+        else : 
+            return self.extract_event(indices)
+        
     generation_event = birth_event
 
-    def death_event(self):
+    def death_event(self, only_index=False):
         """Extract death events."""
         _, i_stop, _ = self.index_segment_track
         indices = i_stop[self.next_obs[i_stop - 1] == -1] - 1
         if self.first_is_trash():
             indices = indices[1:]
-        return self.extract_event(indices)
+        if only_index: 
+            return indices
+        else : 
+            return self.extract_event(indices)
 
     dissipation_event = death_event
 
@@ -1459,7 +1479,7 @@ def plot(self, ax, ref=None, color_cycle=None, **kwargs):
             j += 1
         return mappables
 
-    def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
+    def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None, return_mask=False):
         """
         Remove short segments that don't connect several segments
 
@@ -1485,6 +1505,8 @@ def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
             )
         # get mask for selected obs
         m = ~self.segment_mask(segments_keep)
+        if return_mask:
+            return ~m
         self.track[m] = 0
         self.segment[m] = 0
         self.previous_obs[m] = -1
@@ -1502,6 +1524,8 @@ def remove_dead_end(self, nobs=3, ndays=0, recursive=0, mask=None):
         self.sort()
         if recursive > 0:
             self.remove_dead_end(nobs, ndays, recursive - 1)
+        
+        
 
     def extract_segment(self, segments, absolute=False):
         """Extract given segments
@@ -2042,6 +2066,29 @@ def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
         results, nb_obs = list(), list()
         # To display print only in INFO
         display_iteration = logger.getEffectiveLevel() == logging.INFO
+        
+        
+        # Trier les fichiers par date
+        def extract_date(file):
+            filename = os.path.basename(file)
+            date_str = filename.split('_')[-1].split('.')[0]  # Extraire la partie date (ex : "20180101")
+            return datetime.strptime(date_str, "%Y%m%d")  # Convertir en objet datetime
+        self.filenames = sorted(self.filenames, key=extract_date)
+
+        # Detect missing date and print them to inform the user which files are missing
+        missing_dates = []
+        dates_list = [extract_date(self.filenames[i]) for i in range(len(self.filenames))]
+        for i in range(len(dates_list) - 1):
+            expected_date = dates_list[i] + timedelta(days=1)
+            while expected_date < dates_list[i + 1]:  
+                missing_dates.append(expected_date)
+                expected_date += timedelta(days=1)
+        if missing_dates:
+            missing_str = ', '.join(date.strftime("%Y-%m-%d") for date in missing_dates)
+            raise Exception(f"Following files missing : {missing_str}")
+        else:
+            print("No missing files")
+
         for i, filename in enumerate(self.filenames):
             if display_iteration:
                 print(f"{filename} compared to {self.window} next", end="\r")

From f7f820d3746cc137f14ccb5853599c26dd80cf93 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Wed, 29 Jan 2025 16:17:44 +0100
Subject: [PATCH 439/441] Move out argsort from numba to speed up

---
 src/py_eddy_tracker/generic.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/py_eddy_tracker/generic.py b/src/py_eddy_tracker/generic.py
index 612def68..2fdb737a 100644
--- a/src/py_eddy_tracker/generic.py
+++ b/src/py_eddy_tracker/generic.py
@@ -615,7 +615,6 @@ def build_circle(x0, y0, r):
     return x_norm * r + x0, y_norm * r + y0
 
 
-@njit(cache=True)
 def window_index(x, x0, half_window=1):
     """
     Give for a fixed half_window each start and end index for each x0, in
@@ -626,7 +625,12 @@ def window_index(x, x0, half_window=1):
     :param float half_window: half window
     """
     # Sort array, bounds will be sort also
-    i_ordered = x.argsort()
+    i_ordered = x.argsort(kind="mergesort")
+    return window_index_(x, i_ordered, x0, half_window)
+
+
+@njit(cache=True)
+def window_index_(x, i_ordered, x0, half_window=1):
     nb_x, nb_pt = x.size, x0.size
     first_index = empty(nb_pt, dtype=i_ordered.dtype)
     last_index = empty(nb_pt, dtype=i_ordered.dtype)

From 8fe5bf10e1bc973c83dd114b12e19c37b2f27edc Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Thu, 30 Jan 2025 11:59:41 +0100
Subject: [PATCH 440/441] Remove  check on missing file, code was build with
 bad hypothesis

---
 src/py_eddy_tracker/observations/network.py | 22 ---------------------
 1 file changed, 22 deletions(-)

diff --git a/src/py_eddy_tracker/observations/network.py b/src/py_eddy_tracker/observations/network.py
index ef0b02b4..f0b9d7cc 100644
--- a/src/py_eddy_tracker/observations/network.py
+++ b/src/py_eddy_tracker/observations/network.py
@@ -2067,28 +2067,6 @@ def group_observations(self, min_overlap=0.2, minimal_area=False, **kwargs):
         # To display print only in INFO
         display_iteration = logger.getEffectiveLevel() == logging.INFO
         
-        
-        # Trier les fichiers par date
-        def extract_date(file):
-            filename = os.path.basename(file)
-            date_str = filename.split('_')[-1].split('.')[0]  # Extraire la partie date (ex : "20180101")
-            return datetime.strptime(date_str, "%Y%m%d")  # Convertir en objet datetime
-        self.filenames = sorted(self.filenames, key=extract_date)
-
-        # Detect missing date and print them to inform the user which files are missing
-        missing_dates = []
-        dates_list = [extract_date(self.filenames[i]) for i in range(len(self.filenames))]
-        for i in range(len(dates_list) - 1):
-            expected_date = dates_list[i] + timedelta(days=1)
-            while expected_date < dates_list[i + 1]:  
-                missing_dates.append(expected_date)
-                expected_date += timedelta(days=1)
-        if missing_dates:
-            missing_str = ', '.join(date.strftime("%Y-%m-%d") for date in missing_dates)
-            raise Exception(f"Following files missing : {missing_str}")
-        else:
-            print("No missing files")
-
         for i, filename in enumerate(self.filenames):
             if display_iteration:
                 print(f"{filename} compared to {self.window} next", end="\r")

From 229543fdf7d0a8a3e1de6c40d769185cd85ca1b7 Mon Sep 17 00:00:00 2001
From: "A. Delepoulle" <36040805+AntSimi@users.noreply.github.com>
Date: Fri, 6 Jun 2025 10:33:16 +0200
Subject: [PATCH 441/441] update changelog

---
 CHANGELOG.rst | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index f8eee72f..6d6d6a30 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -11,14 +11,23 @@ and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0
 Changed
 ^^^^^^^
 
-- Remove dead end method for network will move dead end to the trash and not remove observations
-
 Fixed
 ^^^^^
 
 Added
 ^^^^^
 
+[3.6.2] - 2025-06-06
+--------------------
+Changed
+^^^^^^^
+
+- Remove dead end method for network will move dead end to the trash and not remove observations
+
+Fixed
+^^^^^
+
+- Fix matplotlib version
 
 [3.6.1] - 2022-10-14
 --------------------