Let’s learn about how to normalize an array in Numpy Python library. We will use linalg norm function for that purpose.
Steps to normalize an array in Numpy
To normalize an array in Numpy you need to divide your array by np.linalg.norm of your array. Just take a look at below example or normalization.
import numpy as np my_array = np.array([[1, 3, 5], [7, 9, 11], [13, 15, 17]]) print(f"My array: \n{my_array}") my_normalized_array = my_array / np.linalg.norm(my_array) print(f"My normalized array: \n{my_normalized_array}")
Python returned normalized array as an output.