如何在python中对一个矩阵进行整形，然后将其与另一个矩阵相乘，然后再次对其进行整形。

pip install numpy

import numpy as np

A = np.array([[1, 2, 3], [4, 5, 6]])  # 矩阵A
B = np.array([[7, 8], [9, 10], [11, 12]])  # 矩阵B

A_reshaped = np.reshape(A, (3, 2))  # 将矩阵A整形为3行2列的矩阵

result = np.dot(A_reshaped, B)  # 矩阵A_reshaped与矩阵B相乘

result_reshaped = np.reshape(result, (2, 2))  # 将结果矩阵整形为2行2列的矩阵

import numpy as np

A = np.array([[1, 2, 3], [4, 5, 6]])  # 矩阵A
B = np.array([[7, 8], [9, 10], [11, 12]])  # 矩阵B

A_reshaped = np.reshape(A, (3, 2))  # 将矩阵A整形为3行2列的矩阵

result = np.dot(A_reshaped, B)  # 矩阵A_reshaped与矩阵B相乘

result_reshaped = np.reshape(result, (2, 2))  # 将结果矩阵整形为2行2列的矩阵

print(result_reshaped)