split.by-like function for the umap to compare gene expression between conditions

• Additional function parameters / changed functionality / changed defaults?
• New analysis tool: A simple analysis tool you have been using and are missing in sc.tools?
• New plotting function: A kind of plot you would like to seein sc.pl?
• External tools: Do you know an existing package that should go into sc.external.*?
• Other?

...

Currently, to compare gene expressions on the umap between different samples or conditions
I use the for loop and do something like this

for i in ['embryonic day1', 'postnatal day2']:
print(i)
sc.pl.umap(
adata[adata.obs["bulk.ident"] == i], size=20,
color=["gene"],
frameon=False,
)

but i would love to have a function for this that creates multiple umaps in parallel in one row with maybe 'ncol' fxn to decide how many in one row.

could we please add split.by-like function function in the scanpy?

+addendum
Also, simply subplotting multiple umaps per condition could be somewhat missleading as scale for particular gene expression would very per samples. We would need a comprehensive fxn that provides uniform scale of expression for multiple samples..

#1879

Start at the existing sc.pl.umap entry point and review the related discussion in issue #1879. Define how condition-based subplot layout and a uniform expression scale should work, including the ncol behavior. Done means a plotting function supports the requested comparisons without misleading per-sample scaling.