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Include explained variance in PCA component plot #1239

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Include explained variance in PCA component plot #1239

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Include explained variance in PCA component plot
gregparkes Apr 22, 2022
f1e43ea
Merge branch 'develop' into develop
bbengfort May 22, 2022
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10 changes: 6 additions & 4 deletions yellowbrick/features/pca.py
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Original file line number Diff line number Diff line change
Expand Up @@ -439,12 +439,14 @@ def finalize(self, **kwargs):
keyword arguments.
"""
super(PCA, self).finalize()

# get explained variance percentage
explained_var_perc = self.pca_transformer.named_steps['pca'].explained_variance_ratio_
# plot labels.
self.ax.set_title("Principal Component Plot")
self.ax.set_xlabel("$PC_1$")
self.ax.set_ylabel("$PC_2$")
self.ax.set_xlabel("$PC_1$ ({:0.2f}%)".format(explained_var_perc[0] * 100.))
self.ax.set_ylabel("$PC_2$ ({:0.2f}%)".format(explained_var_perc[1] * 100.))
if self.projection == 3:
self.ax.set_zlabel("$PC_3$")
self.ax.set_zlabel("$PC_3$ ({:0.2f}%)".format(explained_var_perc[2] * 100.))
if self.heatmap == True:
self.lax.set_xticks(np.arange(-0.5, len(self.features_)))
self.lax.set_xticklabels([])
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