Missing tests for norm=Normalize(...)

[Sonja-Stockhaus]

Currently, we don't have enough tests including the norm=Normalize(...) argument. It should work for matplotlib and also datshader (after #309), but I think we need some more tests and maybe also a bit more documentation.

Also, I noted that both seem to give the same result, not sure if that's a bug

from spatialdata.datasets import blobs
from matplotlib.colors import Normalize
blob=blobs()

blob.pl.render_points(color="instance_id", size=40, norm=Normalize(4, 7, clip=True)).pl.show()
blob.pl.render_points(color="instance_id", size=40, norm=Normalize(4, 7, clip=False)).pl.show()

[LucaMarconato]

Thanks for reporting. The instance_id column has values in [0, 1, ..., 9]. With clip=True one would expect the values [0, 1, 2, 3, 4] to have the same color, and the values [7, 8, 9] to have the same color. So it seems like that there is a bug.

Did you notice this only for matplotlib or also for datashader?

[Sonja-Stockhaus]

When using datashader, both plots look identical as well.