scanpy.pl.pca_loadings

scanpy.pl.pca_loadings(adata, components=None, include_lowest=True, n_points=None, show=None, save=None)

Rank genes according to contributions to PCs.

Parameters:

adata : AnnData: Annotated data matrix.
components : Union[str, Sequence[int], None] (default: None): For example, '1,2,3' means [1, 2, 3], first, second, third principal component.
include_lowest : bool (default: True): Whether to show the variables with both highest and lowest loadings.
show : Optional[bool] (default: None): Show the plot, do not return axis.
n_points : Optional[int] (default: None): Number of variables to plot for each component.
save : Union[str, bool, None] (default: None): If True or a str, save the figure. A string is appended to the default filename. Infer the filetype if ending on {'.pdf', '.png', '.svg'}.

Examples

import scanpy as sc
adata = sc.datasets.pbmc3k_processed()

Show first 3 components loadings

sc.pl.pca_loadings(adata, components = '1,2,3')