msmu.pl.plot_id

Plot the number of identified features per group.

Parameters:

Name	Type	Description	Default
mdata	MuData	MuData containing the selected modality and observation metadata.	required
modality	str	Name of the modality to plot, such as "protein" or "psm".	required
layer	str | None	Quantification layer; None reads .X.	None
groupby	str | None	Grouping column in observation metadata (or feature metadata where supported). None uses the resolved obs_column.	None
colorby	str | None	Observation column used to assign sample colors when groupby resolves to obs_column; ignored for other groupings. None uses the template palette.	None
template	str	Registered plotly template name, normally "msmu".	DEFAULT_TEMPLATE
obs_column	str | None	Sample identifier in mdata.obs. If omitted, uses .uns["plotting"]["default_obs_column"], then source name/source_name/sample/filename, then the observation index.	None
kwargs	str	Additional plotly layout options, for example width=800 or title_text="QC".	{}

Returns:

Type	Description
Figure	plotly Figure. Call .show() to display or .write_html("plot.html") to export.

Notes

With quantification, counts features with a non-missing value in any sample of each group. Feature grouping or an all-zero/empty quantification matrix uses annotation counts instead. Quantification and embeddings are unchanged. Resolving an existing sample-identifier column can convert that column in mdata.obs to categorical; pass a copy to preserve its dtype.

Examples:

import msmu as mm
fig = mm.pl.plot_id(mdata, modality="protein")
fig.show()