将2D阵列合并为3D阵列 [英] combining 2D arrays to 3D arrays

问题描述

你好，我有3个numpy数组，如下所示.

Hello I have 3 numpy arrays as given below.

>>> print A
[[ 1.  0.  0.]
 [ 3.  0.  0.]
 [ 5.  2.  0.]
 [ 2.  0.  0.]
 [ 1.  2.  1.]]
>>> print B
[[  5.   9.   9.]
 [ 37.   8.   9.]
 [ 49.   8.   3.]
 [  3.   3.   1.]
 [  4.   4.   5.]]
>>> 
>>> print C
[[ 0.  0.  0.]
 [ 0.  6.  0.]
 [ 1.  4.  6.]
 [ 6.  2.  0.]
 [ 0.  5.  4.]]

我想将它们合并为

[[[  1.   0.   0.]
  [  5.   9.   9.]
  [  0.   0.   0.]]

 [[  3.   0.   0.]
  [ 37.   8.   9.]
  [  0.   6.   0.]]

 [[  5.   2.   0.]
  [ 49.   8.   3.]
  [  1.   4.   6.]]

 [[  2.   0.   0.]
  [  3.   3.   1.]
  [  6.   2.   0.]]

 [[  1.   2.   1.]
  [  4.   4.   5.]
  [  0.   5.   4.]]]

那是我想从每个数组中取一行. 有人可以告诉我一种简单的方法吗? 我已经尝试过hstack，vstack.但是他们没有给出理想的结果.

That is I would like to take one row from each array. Could anyone tell me a simple way to do it? I already tried hstack, vstack. But they are not giving the desired result.

谢谢！

推荐答案

使用numpy的解决方案 dstack :

A solution using numpy dstack:

>>> import numpy as np
>>> np.dstack((a,b,c)).swapaxes(1,2)
array([[[ 1,  0,  0],
        [ 5,  9,  9],
        [ 0,  0,  0]],

       [[ 3,  0,  0],
        [37,  8,  9],
        [ 0,  6,  0]],

       [[ 5,  2,  0],
        [49,  8,  3],
        [ 1,  4,  6]],

       [[ 2,  0,  0],
        [ 3,  3,  1],
        [ 6,  2,  0]],

       [[ 1,  2,  1],
        [ 4,  4,  5],
        [ 0,  5,  4]]])

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