campmc.pl.sizes

campmc.pl.sizes(adata, *, partition_key='camp', bins=None, title='Distribution of Metacell Sizes', figsize=(5.0, 5.0), show=False)

Plot the distribution of cells per metacell.

Parameters:

adata AnnData

AnnData with partition labels in obs.

partition_key str (default: 'camp')

Column in adata.obs with metacell labels.

bins int | None (default: None)

Number of histogram bins; None uses seaborn defaults.

title str (default: 'Distribution of Metacell Sizes')

Figure title.

figsize tuple[float, float] (default: (5.0, 5.0))

Figure size in inches.

show bool (default: False)

If True, display via plt.show() and return None for the figure.

Return type:

tuple[Figure | None, DataFrame]

Returns:

Tuple of (figure, sizes) where sizes is from {func}`campmc.mt.metacell_sizes`. figure is None when show displays the plot.

Examples

import campmc as cp
import scanpy as sc
adata = sc.datasets.pbmc68k_reduced()
cp.partition(adata, method="camp3", gamma=50, random_state=0)
cp.pl.sizes(adata, show=True)

(None,
                    size
 camp                   
 seed0-50-__all__     65
 seed1-50-__all__     34
 seed10-50-__all__     3
 seed11-50-__all__   158
 seed12-50-__all__    42
 seed13-50-__all__   140
 seed2-50-__all__     10
 seed3-50-__all__     30
 seed4-50-__all__      4
 seed5-50-__all__    192
 seed6-50-__all__      3
 seed7-50-__all__      5
 seed8-50-__all__      8
 seed9-50-__all__      6)