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e-alizadeh/mlxtend_plot_pca_correlation_circle.py

Created December 29, 2020 03:55
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Plot a PCA correlation circle
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mlxtend_plot_pca_correlation_circle.py
from mlxtend.plotting import plot_pca_correlation_graph
from sklearn.preprocessing import StandardScaler
X_norm = StandardScaler().fit_transform(X) # Normalizing the feature columns is recommended (X - mean) / std
fig, correlation_matrix = plot_pca_correlation_graph(
X_norm,
attribute_names,
dimensions=(1, 2),
figure_axis_size=6
)
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