> import numpy as np
> data = np.array([[2,2,5],[2,1,3],[1,2,3],[3,1,4]])
 data
array([[2, 2, 5],
  [2, 1, 3],
  [1, 2, 3],
  [3, 1, 4]])

> idex=np.lexsort([data[:,2], data[:,1], data[:,0]])
> sorted_data = data[idex, :]
> sorted_data
array([[1, 2, 3],
  [2, 1, 3],
  [2, 2, 5],
  [3, 1, 4]])

> idex=np.lexsort([data[:,2], data[:,1], -1*data[:,0]])
> sorted_data = data[idex, :]
> sorted_data
array([[3, 1, 4],
  [2, 1, 3],
  [2, 2, 5],
  [1, 2, 3]])

# Author: Right.Q
# 实现多维矩阵的逆序排列
 
def descend_sort(array):
 '''对三维数组倒序排列'''
 [height, width, channel] = array.shape
 sortArray = np.zeros([height, width, channel])
 for h in range(height):
  for w in range(width):
   sortArray[h, w, :] = sorted(array[h, w, :], reverse=True)
 
 return sortArray