Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
(if n_components=2) plt.scatter(pca_result[:, 0], pca_result[:, 1]) plt.xlabel('Principal Component 1') plt.ylabel('Principal Component 2') plt.title('PCA Results') plt.show() # For a 3D plot (if n_components=3) from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111,