Scaling, Normalization, Min Max.
np.random.seed(1) df = pd.DataFrame({ 'x1': np.random.normal(0, 2, 10000), 'x2': np.random.normal(5, 3, 10000), 'x3': np.random.normal(-5, 5, 10000) }) scaler = preprocessing.StandardScaler() scaled_df = scaler.fit_transform(df) scaled_df = pd.DataFrame(scaled_df, columns=['x1', 'x2', 'x3']) fig,