常见的数组翻转等方法

np.transpose()，numpy.array.T

import numpy as np


arr0 = np.arange(12).reshape(3, 4)
arr2 = np.transpose(arr0)
arr3 = arr0.T

print('arr0 原数组：\n', arr0,'\n')
print('arr2 维度对换之后：\n', arr2,'\n')
print('arr3 数组转置：\n', arr3,'\n')
'''
arr0 原数组：
 [[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]] 

arr2 维度对换之后：(显然与转置效果arr3相同)
 [[ 0  4  8]
  [ 1  5  9]
  [ 2  6 10]
  [ 3  7 11]] 

arr3 数组转置：
 [[ 0  4  8]
  [ 1  5  9]
  [ 2  6 10]
  [ 3  7 11]] 

'''
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np.rollaxis(),np.swapaxes() 数组滚动与维度交换

arr1 = np.arange(18).reshape(2,3,3)
arr4_0 = np.rollaxis(arr1,0,2)
arr4_1 = np.rollaxis(arr1,2,1)

print('arr1 原数组：\n', arr1,'\n')
print('arr4_0 向后滚动特定的轴到一个特定位置：\n', arr4_0,'\n')
print('arr4_1 向后滚动特定的轴到一个特定位置：\n', arr4_1,'\n')

arr5_0 = np.swapaxes(arr1, 0, 1)
arr5_1 = np.swapaxes(arr1, 1, 2)
print('arr5_0交换数组的两个轴：\n', arr5_0,'\n')
print('arr5_1交换数组的两个轴：\n', arr5_1,'\n')
'''
arr1 原数组：
 [[[ 0  1  2]
   [ 3  4  5]
   [ 6  7  8]]

  [[ 9 10 11]
   [12 13 14]
   [15 16 17]]] 

arr4_0 向后滚动特定的轴到一个特定位置：(与arr5_0 效果相同)
 [[[ 0  1  2]
   [ 9 10 11]]

  [[ 3  4  5]
   [12 13 14]]

  [[ 6  7  8]
   [15 16 17]]] 

arr4_1 向后滚动特定的轴到一个特定位置：(与arr5_1 效果相同)
 [[[ 0  3  6]
  [ 1  4  7]
  [ 2  5  8]]

  [[ 9 12 15]
   [10 13 16]
   [11 14 17]]] 

arr5_0交换数组的两个轴：
 [[[ 0  1  2]
  [ 9 10 11]]

  [[ 3  4  5]
   [12 13 14]]

  [[ 6  7  8]
   [15 16 17]]] 

arr5_1交换数组的两个轴：
 [[[ 0  3  6]
  [ 1  4  7]
  [ 2  5  8]]

  [[ 9 12 15]
   [10 13 16]
   [11 14 17]]]
'''
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数组旋转（psf2otf 卷积核用的）

import numpy as np


def flip180(arr):
    new_arr = arr.reshape(arr.size)
    new_arr = new_arr[::-1]
    new_arr = new_arr.reshape(arr.shape)
    return new_arr

def flip90_left(arr):
    new_arr = np.transpose(arr)
    new_arr = new_arr[::-1]
    return new_arr

def flip90_right(arr):
    new_arr = arr.reshape(arr.size)
    new_arr = new_arr[::-1]
    new_arr = new_arr.reshape(arr.shape)
    new_arr = np.transpose(new_arr)[::-1]
    return new_arr

arr0 = np.array([[1,2,3],
                 [4,5,6],
                 [7,8,9]])

flip_180 = flip180(arr0)
left_90 = flip90_left(arr0)
right_90 = flip90_right(arr0)

print('===== flip_180 ====\n',flip_180,'\n')
print('===== left_90 =====\n',left_90,'\n')
print('===== right_90 =====\n',right_90,'\n')
'''
===== flip_180 ====
 [[9 8 7]
 [6 5 4]
 [3 2 1]] 

===== left_90 =====
 [[3 6 9]
 [2 5 8]
 [1 4 7]] 

===== right_90 =====
 [[7 4 1]
 [8 5 2]
 [9 6 3]] 
'''
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特别鸣谢：
https://blog.csdn.net/kane7csdn/article/details/83928848