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#对3维数组中间一维进行操示例

import numpy as np a=np.random.normal(1,9,(3,2)) print(type(a)) #b = a[:,-1,:] a1 = np.arange(30).reshape(3,5,2) print(type(a1)) print(a1) print("a1[-1,:,:]-------------------") print(a1[-1,:,:]) print("a1[:,-1,:]-------------------") print(a1[:,-1,:]) print("a1[:,：,-1]-------------------") print(a1[:,:,-1])  

   
    
     [[[ 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]]]a1[-1,:,:]-------------------[[20 21] [22 23] [24 25] [26 27] [28 29]]a1[:,-1,:]-------------------[[ 8  9] [18 19] [28 29]]a1[:,：,-1]-------------------[[ 1  3  5  7  9] [11 13 15 17 19] [21 23 25 27 29]]
    
   

 

用法二

#对3维数组中间一维进行::-1操示例 ,其中-1表示步长，也就是倒序

import numpy as np

a=np.random.normal(1,9,(3,2))

print(type(a))

#b = a[:,-1,:]

a1 = np.arange(30).reshape(3,5,2)

print(type(a1))

print(a1)

print("a1[::-1,:,:]-------------------")

print(a1[::-1,:,:])

print("a1[:,::-1,:]-------------------")

print(a1[:,::-1,:])

print("a1[:,:,::-1]-------------------")

print(a1[:,:,::-1])

   
    
     [[[ 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]]]a1[::-1,:,:]-------------------[[[20 21]  [22 23]  [24 25]  [26 27]  [28 29]] [[10 11]  [12 13]  [14 15]  [16 17]  [18 19]] [[ 0  1]  [ 2  3]  [ 4  5]  [ 6  7]  [ 8  9]]]a1[:,::-1,:]-------------------[[[ 8  9]  [ 6  7]  [ 4  5]  [ 2  3]  [ 0  1]] [[18 19]  [16 17]  [14 15]  [12 13]  [10 11]] [[28 29]  [26 27]  [24 25]  [22 23]  [20 21]]]a1[:,:,::-1]-------------------[[[ 1  0]  [ 3  2]  [ 5  4]  [ 7  6]  [ 9  8]] [[11 10]  [13 12]  [15 14]  [17 16]  [19 18]] [[21 20]  [23 22]  [25 24]  [27 26]  [29 28]]]
    
   

 

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