ehrapy.plot.pca_variance_ratio¶
- ehrapy.plot.pca_variance_ratio(adata, n_pcs=30, log=False, show=None, save=None)[source]¶
Plot the variance ratio.
- Parameters:
adata (
AnnData
) –AnnData
object object containing all observations.n_pcs (
int
, default:30
) – Number of PCs to show.log (
bool
, default:False
) – Plot on logarithmic scale..show (
bool
|None
, default:None
) – Show the plot, do not return axis.save (
bool
|str
|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’}.
- Returns:
If show==False a
Axes
or a list of it.
Examples
>>> import ehrapy as ep >>> adata = ep.dt.mimic_2(encoded=True) >>> ep.pp.knn_impute(adata) >>> ep.pp.log_norm(adata, offset=1) >>> ep.pp.neighbors(adata) >>> ep.pp.pca(adata) >>> ep.pl.pca_variance_ratio(adata, n_pcs=8)
- Preview: