feat: plot featureCollections on static plots

[12rambau]

related to #303

Earthengine has been designed with a big focus on the interactive mapping of the code editor. None the less, people still need to perform presentation and report where a reproducible static image is much more meaningful than a screenshot of the Google interface. This issue is still very real even when using geemap. To simplify the interface I propose in this PR a plot() method for the FeatureCollection object.

Few technical choices:

• I only support the object based implementation of matplotlib, i.e. you need to provide an ax. (can be modified in a follow-up PR)
• I only support images and not imageCollection as I want to leave the user to filter and composite from GEE side
• I only support named colormap for now (can be cahnged in a follow-up PR
• It's currently a very thin wrapper around geopandas plotting capabilities let's make it evolves with user requests

demo:

Using the following code you can build a ee.FeatureCollection of all the hydroshed in the South americas:

import ee
import geetools

region = ee.Geometry.BBox(-80, -60, -20, 20);
fc = ee.FeatureCollection('WWF/HydroATLAS/v1/Basins/level04').filterBounds(region)

You can display the UP are property using very few lines of code

from matplotlib import pyplot as plt

fig, ax = plt.subplots()
fc.geetools.plot(ax=ax)

# you can then customize the figure as you would for any other matplotlib object
fig.colorbar(ax.collections[0], label="Upstream area (km²)")
ax.set_title("HydroATLAS basins of level4")
ax.set_xlabel("Longitude (°)")
ax.set_ylabel("Latitude (°)")

else you can display only the boundaries of the geometries:

from matplotlib import pyplot as plt

fig, ax = plt.subplots()
fc.geetools.plot(ax=ax, boundaries=True)

# you can then customize the figure as you would for any other matplotlib object
ax.set_title("Borders of the HydroATLAS basins of level4")
ax.set_xlabel("Longitude (°)")
ax.set_ylabel("Latitude (°)")

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 76.33%. Comparing base (820827c) to head (417df0f).
Report is 18 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #312      +/-   ##
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+ Coverage   76.18%   76.33%   +0.14%     
==========================================
  Files          30       30              
  Lines        1579     1589      +10     
  Branches      193      194       +1     
==========================================
+ Hits         1203     1213      +10     
  Misses        356      356              
  Partials       20       20              

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