import numpy as np

from? sklearn import preprocessing

data = np.array([[3, -1.5, 2, -5.4], [0, 4, -0.3, 2.1], [1, 3.3, -1.9, -4.3]])

print(data.mean(axis=0))

print(data.std(axis=0))

data_standardized = preprocessing.scale(data)

print(data_standardized)

‘’‘以第一列3，0,1為例，其均值為1.333，方差=sqrt((power(3-1.33,2)+power(0-1.33,2)+power(1-1.33,2))/3)=1.247’則標(biāo)準(zhǔn)化為(3-1.333)/1.247=1.3363，大概就是這么一回事情‘’‘