How do I standardize a matrix?

Question

Basically, take a matrix and change it so that its mean is equal to 0 and variance is 1. I\'m using numpy\'s arrays so if it can already do it it\'s better, but I can implem

Answer 1

import numpy as np

A = np.array([[1,2,6], [3000,1000,2000]]).T  

A_means = np.mean(A, axis=0)
A_centr = A - A_means
A_norms = np.linalg.norm(A_centr, axis=0)

A_std = A_centr / A_norms