将3D矩阵转换为级联2D矩阵 [英] Converting 3D matrix to cascaded 2D Matrices

问题描述

我在python中有一个3D矩阵，如下所示:

I have a 3D matrix in python as the following:

import numpy as np

a = np.ones((2,2,3))
a[0,0,0] = 2
a[0,0,1] = 3
a[0,0,2] = 4

我想将此3D矩阵转换为一组2D矩阵.我已经尝试过np.reshape，但是它不能解决我的问题.我感兴趣的最终形状是以下级联的容器:

I want to convert this 3D matrix to a set of 2D matrices. I have tried np.reshape but it did not solve my problem. The final shape I am interested in is the following cascaded vesrsion:

 [[ 2.  1.  3.  1.  4.  1.]
  [ 1.  1.  1.  1.  1.  1.]]

但是，np.reshape给了我以下内容

 [[ 2.  3.  4.  1.  1.  1.]
  [ 1.  1.  1.  1.  1.  1.]]

我该如何解决?

推荐答案

使用 reshape -

a.transpose([0,2,1]).reshape(a.shape[0],-1)

或使用 swapaxes 与transpose和reshape-

a.swapaxes(2,1).reshape(a.shape[0],-1)

样品运行-

In [66]: a
Out[66]: 
array([[[ 2.,  3.,  4.],
        [ 1.,  1.,  1.]],

       [[ 1.,  1.,  1.],
        [ 1.,  1.,  1.]]])

In [67]: a.transpose([0,2,1]).reshape(a.shape[0],-1)
Out[67]: 
array([[ 2.,  1.,  3.,  1.,  4.,  1.],
       [ 1.,  1.,  1.,  1.,  1.,  1.]])

In [68]: a.swapaxes(2,1).reshape(a.shape[0],-1)
Out[68]: 
array([[ 2.,  1.,  3.,  1.,  4.,  1.],
       [ 1.,  1.,  1.,  1.,  1.,  1.]])

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