Scaling, Normalization, Min Max.
pd.DataFrame({ # positive skew 'x1': np.random.chisquare(8, 1000), # negative skew 'x2': np.random.beta(8, 2, 1000) * 40, # no skew 'x3': np.random.normal(50, 3, 1000) }) scaler = preprocessing.MinMaxScaler() scaled_df = scaler.fit_transform(df) scaled_df = pd.DataFrame(scaled_df, columns=['x1',