To plot data into features, e.g. color each country according to data, it would be very helpful if FeatureArtist would implement the ScalarMappable interface: https://matplotlib.org/stable/api/cm_api.html#matplotlib.cm.ScalarMappable

So having set_array, set_clim, set_cmap etc, so one can directly add the data and a colormap.

As a current workaround, one has to construct a colormap, norm and set the facecolors manually like this:

norm = Normalize(vmin=data.min(), vmax=data.max())
cmap = plt.get_cmap('inferno')
sm = ScalarMappable(cmap=cmap, norm=norm)

ax.add_feature(
    feature,
    facecolor=[cmap(norm(v)) for v in data],
)
fig.colorbar(sm, ax=ax)

when FeatureArtist would be a ScalarMappable, this should become a lot easiery, e.g. this should work:

artist = ax.add_feature(feature,  array=data,  cmap='inferno')
fig.colorbar(artist, ax=ax)