Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
in range(9)] ).abs().T # Transpose to have features as rows # Sorting the loadings for each component to see the top contributing features top_features_per_pc_9 = pca_loadings_analysis_9.apply(lambda s: s.abs().nlargest(5).index.tolist(), axis=0) top_features_per_pc_9 To provide the actual loading