episcanpy.api.pl.rank_feat_groups_stacked_violin¶
- episcanpy.api.pl.rank_feat_groups_stacked_violin(adata, groups=None, n_features=10, groupby=None, key='rank_features_groups', show=None, save=None)¶
Plot ranking of features using stacked_violin plot (see
stacked_violin()
)- Parameters
- adata
Annotated data matrix.
- groups : str or list of str
The groups for which to show the feature ranking.
- n_features : int, optional (default: 10)
Number of features to show.
- groupby : str or None, optional (default: None)
The key of the observation grouping to consider. By default, the groupby is chosen from the rank features groups parameter but other groupby options can be used. It is expected that groupby is a categorical. If groupby is not a categorical observation, it would be subdivided into num_categories (see
stacked_violin()
).- key
Key used to store the ranking results in adata.uns.
- {show_save_ax}
- **kwds
Are passed to
stacked_violin()
.