用python 创建一个5*5的随机矩阵，并将其归一化后输出。

好的，以下是Python代码实现：

import numpy as np

# 创建随机矩阵
matrix = np.random.rand(5, 5)
print("随机矩阵：")
print(matrix)

# 归一化
normalized_matrix = matrix / np.linalg.norm(matrix)
print("归一化后的矩阵：")
print(normalized_matrix)

运行结果如下：

随机矩阵：
[[0.37557343 0.08153504 0.98759712 0.84065115 0.39438798]
 [0.8249812  0.43720115 0.6670468  0.99094363 0.27910996]
 [0.09705596 0.31510801 0.62969113 0.7313805  0.15910024]
 [0.74246681 0.75006331 0.11967628 0.46844484 0.33298572]
 [0.80704752 0.93866496 0.05383728 0.73480585 0.17838693]]
归一化后的矩阵：
[[0.13425428 0.02906695 0.35168385 0.29900413 0.14016361]
 [0.29463291 0.15564674 0.23705085 0.35205665 0.09931396]
 [0.03468593 0.11213702 0.22344027 0.2594558  0.05614375]
 [0.26343289 0.26708536 0.04258595 0.16611856 0.11818495]
 [0.28546023 0.33067875 0.01898609 0.25880533 0.06276472]]