fig.py

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",
    "longitude",
    "latitude",
)

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")


logging.getLogger().setLevel("DEBUG")  # Values: ERROR, WARNING, INFO, DEBUG

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")