如何在 python 中追加多个矩阵

Question

我已阅读以下相关讨论 What's the simplest way to extend a numpy array in 2 dimensions?

但是，如果我想扩展多个矩阵，例如

A = np.matrix([[1,2],[3,4]])
B = np.matrix([[3,4],[5,6]])
C = np.matrix([[7,8],[5,6]])
F = np.append(A,[[B]],0)

然而，python 表示

ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 4 dimension(s)

我想把 B 放在矩阵 A 的“下面”，把 C 放在矩阵 B 的“下面”。
所以，F应该是一个6X2的矩阵。

如何做到这一点？谢谢！

Answer 1

我相信 np.concatenate 应该可以解决问题

    A = np.matrix([[1,2],[3,4]])
    B = np.matrix([[3,4],[5,6]])
    C = np.matrix([[7,8],[5,6]])
    ABC = np.concatenate([A,B,C],axis = 0) # axis 0 stacks it one above the other
    
    print("Shape : ",ABC.shape)
    print(ABC)

输出：

    Shape : (6, 2)
    matrix(
    [[1, 2],
    [3, 4],
    [3, 4],
    [5, 6],
    [7, 8],
    [5, 6]])

Answer 2

尝试使用 numpy.concatenate (https://numpy.org/doc/stable/reference/generated/numpy.concatenate.html):

A = np.matrix([[1,2],[3,4]])
B = np.matrix([[3,4],[5,6]])
C = np.matrix([[7,8],[5,6]])
# F = np.append(A,[[B]],0)
F = np.concatenate((A, B, C), axis=1)

将轴参数更改为 0 以组合矩阵 'vertically':

print(np.concatenate((A, B, C), axis=1))

[[1 2 3 4 7 8]
[3 4 5 6 5 6]]

print(np.concatenate((A, B, C), axis=0))

[[1 2]
[3 4]
[3 4]
[5 6]
[7 8]
[5 6]]

如何在 python 中追加多个矩阵

How to append multiple matrices in python

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