numpy矩阵按行归一化 按列归一化 python程序

以下是numpy矩阵按行归一化和按列归一化的Python程序：

1. 按行归一化

import numpy as np

# 创建一个3x3的矩阵
x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 对每一行进行归一化
x_normed = x / np.linalg.norm(x, axis=1, keepdims=True)

# 输出归一化后的矩阵
print(x_normed)

输出：

[[0.26726124 0.53452248 0.80178373]
 [0.45584231 0.56980288 0.68376346]
 [0.50257071 0.57436653 0.64616235]]

2. 按列归一化

import numpy as np

# 创建一个3x3的矩阵
x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 对每一列进行归一化
x_normed = x / np.linalg.norm(x, axis=0, keepdims=True)

# 输出归一化后的矩阵
print(x_normed)

输出：

[[0.12309149 0.20739034 0.26726124]
 [0.49236596 0.51847585 0.53452248]
 [0.86164043 0.82956136 0.80178373]]