explained_variance_ratio_plot

ktch.plot.explained_variance_ratio_plot(pca: Any, n_components: int | None = None, ax: object | None = None, verbose: bool = False) → object

Plot explained variance ratio of PCA components.

Parameters:

pcasklearn.decomposition.PCA

Fitted PCA object.

n_componentsint, optional

Number of principal components to plot. If None, plot all components.

axmatplotlib.axes.Axes, optional

Axes object to plot on. If None, a new figure and axes are created.

verbosebool, optional

If True, print explained variance ratios and their cumulative sums.

Returns:

axmatplotlib.axes.Axes

Axes object with the plot.

Raises:

ImportError

If matplotlib or seaborn are not installed.