示例
import numpy as np
a=np.arange(24).reshape((2,3,4))
print("origin:\n",a,"\nsize:",a.shape)
print("\na.transpose((0,1,2)):\n",a.transpose((0,1,2)),"\nsize:",a.transpose((0,1,2)).shape)
print("\na.transpose((0,2,1)):\n",a.transpose((0,2,1)),"\nsize:",a.transpose((0,2,1)).shape)
print("\na.transpose((1,0,2)):\n",a.transpose((1,0,2)),"\nsize:",a.transpose((1,0,2)).shape)
print("\na.transpose((1,2,0)):\n",a.transpose((1,2,0)),"\nsize:",a.transpose((1,2,0)).shape)
print("\na.transpose((2,0,1)):\n",a.transpose((2,0,1)),"\nsize:",a.transpose((2,0,1)).shape)
print("\na.transpose((2,1,0)):\n",a.transpose((2,1,0)),"\nsize:",a.transpose((2,1,0)).shape)
输出:
origin:
[[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]]
[[12 13 14 15]
[16 17 18 19]
[20 21 22 23]]]
size: (2, 3, 4)
a.transpose((0,1,2)):
[[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]]
[[12 13 14 15]
[16 17 18 19]
[20 21 22 23]]]
size: (2, 3, 4)
a.transpose((0,

本文介绍了Python中transpose函数的使用方法,通过实例解析了如何对矩阵或数组进行转置操作,适用于数据处理和矩阵运算场景。
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