numpy.transpose对三维数组的转置方法

import numpy as np 

arr1 = np.arange(16).reshape((2, 2, 4)) 
#[[[ 0 1 2 3] 
# [ 4 5 6 7]] 
 
# [[ 8 9 10 11] 
# [12 13 14 15]]] 
 
arr2=arr1.transpose((1,0,2)) 
#[[[ 0 1 2 3] 
# [ 8 9 10 11]] 
# 
# [[ 4 5 6 7] 
# [12 13 14 15]]] 

#[[[ 0 1 2 3] 
# [ 4 5 6 7]] 
 
# [[ 8 9 10 11] 
# [12 13 14 15]]] 

#[[[ 0 1 2 3] 
# [ 8 9 10 11]] 
# 
# [[ 4 5 6 7] 
# [12 13 14 15]]] 

arr3=arr1.transpose((0,2,1)) 
 
# [[[ 0 4] 
# [ 1 5] 
# [ 2 6] 
# [ 3 7]] 
# 
# [[ 8 12] 
# [ 9 13] 
# [10 14] 
# [11 15]]] 
 
arr4=arr1.transpose((2,0,1)) 
#[[[ 0 4] 
# [ 8 12]] 
# 
# [[ 1 5] 
# [ 9 13]] 
# 
# [[ 2 6] 
# [10 14]] 
# 
# [[ 3 7] 
# [11 15]]] 

arr5=arr1.transpose((2,1,0)) 
#[[[ 0 8] 
# [ 4 12]] 
# 
# [[ 1 9] 
# [ 5 13]] 
# 
# [[ 2 10] 
# [ 6 14]] 
# 
# [[ 3 11] 
# [ 7 15]]] 
 
arr6=arr1.transpose((1,2,0)) 
#[[[ 0 8] 
# [ 1 9] 
# [ 2 10] 
# [ 3 11]] 
# 
# [[ 4 12] 
# [ 5 13] 
# [ 6 14] 
# [ 7 15]]] 

arr4=arr1.transpose(0,2,1).transpose(1,0,2) 

#[[[ 0 4]
# [ 8 12]]
#
# [[ 1 5]
# [ 9 13]]
#
# [[ 2 6]
# [10 14]]
#
# [[ 3 7]
# [11 15]]]