I am plotting an image and no colorbar is display, even if `colorbar` should default to `True` in `pl.show()`. I am currently using the workaround shown in the code to fix this. ```python ## from spatialdata.datasets import blobs import spatialdata_plot import matplotlib.colors import matplotlib.pyplot as plt sdata = blobs() sdata['single_channel'] = sdata['blobs_image'].sel(c=slice(0, 0)) sdata.pl.render_images('single_channel').pl.show() # workaround ax = plt.gca() data = sdata['single_channel'].values norm = matplotlib.colors.Normalize(vmin=data.min(), vmax=data.max()) mappable = plt.cm.ScalarMappable(cmap='viridis', norm=norm) plt.colorbar(mappable, ax=ax) plt.show() ```
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timtreis commentedon Jul 14, 2024
Why would we plot a colorbar by default for an image? <- leaving this because it's more of a design choice.
I think the actual issue is that there is none, even if colorbar is manually set to
True, right?LucaMarconato commentedon Jul 15, 2024
Exactly!
Yes, here I would let the user choose.
melonora commentedon Jul 15, 2024
will have a look, btw just FYI, you can just specify
channel=0if you want to plot a single channel.