如何从多个矩阵列表生成矩阵？

import numpy as np

# 假设有两个矩阵列表
matrix_list1 = [np.array([[1, 2], [3, 4]]), np.array([[5, 6], [7, 8]])]
matrix_list2 = [np.array([[9, 10], [11, 12]]), np.array([[13, 14], [15, 16]])]

# 水平拼接
horizontal_concatenated = np.concatenate(matrix_list1 + matrix_list2, axis=1)
print("水平拼接结果:\n", horizontal_concatenated)

# 垂直拼接
vertical_concatenated = np.concatenate(matrix_list1 + matrix_list2, axis=0)
print("垂直拼接结果:\n", vertical_concatenated)

def pad_matrices(matrices, max_rows, max_cols):
    padded_matrices = []
    for matrix in matrices:
        rows, cols = matrix.shape
        if rows < max_rows or cols < max_cols:
            padding = ((0, max_rows - rows), (0, max_cols - cols))
            padded_matrix = np.pad(matrix, padding, mode='constant')
            padded_matrices.append(padded_matrix)
        else:
            padded_matrices.append(matrix)
    return padded_matrices

# 示例使用
max_rows = max([m.shape[0] for m in matrix_list1 + matrix_list2])
max_cols = max([m.shape[1] for m in matrix_list1 + matrix_list2])
padded_matrices = pad_matrices(matrix_list1 + matrix_list2, max_rows, max_cols)
vertical_concatenated_padded = np.concatenate(padded_matrices, axis=0)
print("填充后垂直拼接结果:\n", vertical_concatenated_padded)