Python Numpy的矩阵计算技巧

创建矩阵：

import numpy as np# 创建一个2x3的矩阵matrix = np.array([[1, 2, 3], [4, 5, 6]])print(matrix)

matrix1 = np.array([[1, 2], [3, 4]])matrix2 = np.array([[5, 6], [7, 8]])# 矩阵加法result_add = matrix1 + matrix2print(result_add)# 矩阵减法result_sub = matrix1 - matrix2print(result_sub)

matrix1 = np.array([[1, 2], [3, 4]])matrix2 = np.array([[5, 6], [7, 8]])# 矩阵乘法result_mul = np.dot(matrix1, matrix2)print(result_mul)

matrix = np.array([[1, 2, 3], [4, 5, 6]])# 矩阵转置result_transpose = matrix.Tprint(result_transpose)

matrix = np.array([[1, 2], [3, 4]])# 求矩阵的逆result_inv = np.linalg.inv(matrix)print(result_inv)

这些是一些常用的矩阵计算技巧，希望对你有帮助！