Feature Engineering, Machine Learning, Data Science, Data, Python.
# Create loadings loadings = pd.DataFrame( pca.components_.T, # transpose the matrix of loadings columns=component_names, # so the columns are the principal components index=X.columns, # and the rows are the original features ) return pca, X_pca, loadings def plot_variance(pca, width=8, dpi=100): #