ehrapy.plot.pca_variance_ratio

ehrapy.plot.pca_variance_ratio#

ehrapy.plot.pca_variance_ratio(edata, n_pcs=30, log=False, show=None, save=None)[source]#

Plot the variance ratio.

Parameters:

  • edata (EHRData) – Central data object.

  • 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’}.

Return type:

Axes | list[Axes] | None

Examples

>>> import ehrdata as ed
>>> import ehrapy as ep
>>> edata = ed.dt.mimic_2()
>>> ep.pp.knn_impute(edata)
>>> ep.pp.log_norm(edata, offset=1)
>>> ep.pp.neighbors(edata)
>>> ep.pp.pca(edata)
>>> ep.pl.pca_variance_ratio(edata, n_pcs=8)
Preview:
../../_images/pca_variance_ratio.png