How to normalize an array in NumPy?

The numpy normalize of data is important for the fast and smooth training of our machine learning models. Scikit learn, a library of python has sklearn.preprocessing.normalize, that helps to normalize the data easily.

For example:

import numpy as np

from sklearn.preprocessing import normalize

  x = np.random.rand(1000)*10norm1 = x / np.linalg.norm(x)norm2 = normalize(x[:,np.newaxis], axis=0).ravel()print(np.all(norm1 == norm2))# TrueHope this answer helps