python numpy学习3_python numpy归一化0到1

归一化，将矩阵规格化到0～1，即最小的变成0，最大的变成1，最小与最大之间的等比缩放。Z = np.random.random((5,5))

import numpy as np

Z = np.random.random((5,5))

print(Z)

max=Z.max()

min=Z.min()

print(max,min)

Z=(Z-min)/(max-min)

print(Z)

输出结果：

[[0.25303525 0.99681094 0.36594609 0.04002044 0.54792824]

 [0.06921534 0.406925850.1957492  0.07253186 0.86404351]

 [0.40006867 0.15025097 0.443783820.03820552 0.80692884]

 [0.7702267  0.99836316 0.26948848 0.39156013 0.49678772]

 [0.73695705 0.25479203 0.954615450.03215094 0.1828546 ]]

0.9983631554021115 0.03215093610347419

[[0.22860849 0.99839351 0.34546774 0.00814469 0.53381368]

 [0.03836052 0.38788054 0.169319180.04179302 0.86098328]

 [0.38078357 0.12222992 0.426027410.0062663  0.80187136]

 [0.76388577 1.         0.24563707 0.37197748 0.48088482]

 [0.72945271 0.2304267  0.95472247 0.         0.15597367]]

代码实现：