[英]Numpy: How to undo a transpose
A = np.arange(36).reshape(6,6)
B = A.reshape(-1,3,2,3)
C = B.transpose(0,2,1,3)
I have a matrix A
, which looks like我有一个矩阵
A
,它看起来像
[[ 0 1 2 3 4 5]
[ 6 7 8 9 10 11]
[12 13 14 15 16 17]
[18 19 20 21 22 23]
[24 25 26 27 28 29]
[30 31 32 33 34 35]]
and have transformed it into C
, which looks like并将其转换为
C
,看起来像
[[[[ 0 1 2]
[ 6 7 8]
[12 13 14]]
[[ 3 4 5]
[ 9 10 11]
[15 16 17]]]
[[[18 19 20]
[24 25 26]
[30 31 32]]
[[21 22 23]
[27 28 29]
[33 34 35]]]]
How would I transform C back into A?我如何将 C 变回 A? I have tried following this guide https://stackoverflow.com/a/32034565/5131031 , however, I was not successful.
我曾尝试遵循本指南https://stackoverflow.com/a/32034565/5131031 ,但是,我没有成功。
You can transpose on the same axes and reshape back to the original:您可以在相同的轴上转置并重塑回原始状态:
import numpy as np
A = np.arange(36).reshape(6,6)
B = A.reshape(-1,3,2,3)
C = B.transpose(0,2,1,3)
C.transpose(0,2,1,3).reshape(6,6)
result:结果:
array([[ 0, 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35]])
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