standardscaling.py

import numpy as np
from sklearn import preprocessing
features = np.array([[-500, 5], 
                    [2, 10],
                    [4, 100],
                    [9, 10]])
# Create the Standard Scaler
standard_scaler = preprocessing.StandardScaler()
# Apply the Standard Rescaling on our feature maps 
scaled_feature = standard_scaler.fit_transform(features)
print(scaled_feature)