plot classified image

[12rambau]

The plot method from the ImageAccessor is plotting continuous images and has lots of difficulties to plot classified images. I tried to play with the cmap of the following graph but never managed to make it work:

landcover = ee.Image(
    ee.ImageCollection("USGS/NLCD_RELEASES/2019_REL/NLCD")
    .filter(ee.Filter.eq('system:index', '2016'))
    .first()
    .select('landcover')
)

roi = ee.Geometry.Polygon([[
    [-121.214213, 39.102459],
    [-121.214213, 39.109467],
    [-121.199295, 39.109467],
    [-121.199295, 39.102459],
    [-121.214213, 39.102459]
]])

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

landcover.geetools.plot(bands = ["landcover"], ax=ax, region=roi)

ax.set_xlabel("Longitude")
ax.set_ylabel("Latitude")
ax.tick_params(axis='both', which='both', length=0, labelbottom=False, labelleft=False)
ax.set_title("Landcover over a random AOI")
fig.colorbar(ax.images[0], label="landcover")

plt.show()

If someone finds a way to create a class clolorbar then it should be added to the documentation else a PR will be welcomed in the source code.