add missing requirements

Author: AntSimi

requirements.txt

@@ -7,6 +7,7 @@ pint
 polygon3
 pyproj
 pyyaml
+requests
 scipy
 zarr
 # for binder

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,
 )

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")