使用循环将多个矩阵相乘的Python Numpy矩阵乘法

import numpy as np

# 定义两个矩阵
matrix1 = np.array([[1, 2], [3, 4]])
matrix2 = np.array([[5, 6], [7, 8]])

# 获取矩阵的行数和列数
rows1, cols1 = matrix1.shape
rows2, cols2 = matrix2.shape

# 判断两个矩阵是否可以相乘
if cols1 != rows2:
    print("矩阵无法相乘")
else:
    # 创建结果矩阵
    result = np.zeros((rows1, cols2))

    # 循环计算矩阵乘法
    for i in range(rows1):
        for j in range(cols2):
            for k in range(cols1):
                result[i][j] += matrix1[i][k] * matrix2[k][j]

    print("矩阵相乘的结果：")
    print(result)