Normalize data using sklearn in python machine learning and data science

 

import numpy as np
from sklearn import preprocessing

#We imported a couple of packages. Let's create some sample data and add the line to this file:

input_data = np.array([[3, -1.5, 3, -6.4], [0, 3, -1.3, 4.1], [1, 2.3, -2.9, -4.3]])

data_normalized = preprocessing.normalize(input_data, norm  = 'l1')
print "\nL1 normalized data = ", data_normalized