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Jun 19th, 2019
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  1. fig_2 = plt.figure(figsize=(18,6))
  2.  
  3. sns.regplot(x=pca_vectors[:,209],y=df_y, label='Principal Component 210',x_bins=10)
  4. sns.regplot(x=pca_vectors[:,210],y=df_y, label='Principal Component 211',x_bins=10)
  5. sns.regplot(x=pca_vectors[:,211],y=df_y, label='Principal Component 212',x_bins=10)
  6.  
  7. plt.title('Least Important Principal Components vs Reference Value')
  8. plt.xlabel('Principal Component Value')
  9. plt.ylabel('Reference Value')
  10. plt.legend()
  11. plt.show()
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