elphick.sklearn_viz.features.principal_components

Developed from the example here: https://plotly.com/python/pca-visualization/

Functions

plot_correlation_circle	type x: DataFrame
plot_explained_variance	Plot the cumulative explained variance by principal component.
plot_loading_vectors	type x: DataFrame
plot_principal_components	type x: DataFrame
plot_scatter_matrix	Plot a scatter matrix

Classes

PCResults(data, explained_variance, loadings)	Class to hold Principal Component results
PrincipalComponents(x[, color])