数组的转置

 1 #导入numpy模块
 2 import numpy as np 
 3 a = np.arange(1,25).reshape(8,3)
 4 print(a)
 5 print(‘transpose函数进行数组转置a[i][j]---a[j][i]‘)
 6 b = a.transpose()
 7 print(b,b.shape)
 8 
 9 #可以使用.T
10 print(a.T)
11 
12 #numpy中transpose()
13 c = np.transpose(a)
14 print(c,c.shape)
15 
16 #多维数组进行转置
17 a = a.reshape(2,3,4)
18 print(a,a.shape)
19 print(‘对于三维a[i][j][k]进行转置 默认的将i和k交换‘)
20 b = np.transpose(a)
21 print(b,b.shape)
22 #指定维度转置：(2,3,4)---->(3,4,2)
23 c = np.transpose(a,(1,2,0))
24 print(c,c.shape)

 1 [[ 1  2  3]
 2  [ 4  5  6]
 3  [ 7  8  9]
 4  [10 11 12]
 5  [13 14 15]
 6  [16 17 18]
 7  [19 20 21]
 8  [22 23 24]]
 9 transpose函数进行数组转置a[i][j]---a[j][i]
10 [[ 1  4  7 10 13 16 19 22]
11  [ 2  5  8 11 14 17 20 23]
12  [ 3  6  9 12 15 18 21 24]] (3, 8)
13 [[ 1  4  7 10 13 16 19 22]
14  [ 2  5  8 11 14 17 20 23]
15  [ 3  6  9 12 15 18 21 24]]
16 [[ 1  4  7 10 13 16 19 22]
17  [ 2  5  8 11 14 17 20 23]
18  [ 3  6  9 12 15 18 21 24]] (3, 8)
19 [[[ 1  2  3  4]
20   [ 5  6  7  8]
21   [ 9 10 11 12]]
22 
23  [[13 14 15 16]
24   [17 18 19 20]
25   [21 22 23 24]]] (2, 3, 4)
26 对于三维a[i][j][k]进行转置 默认的将i和k交换
27 [[[ 1 13]
28   [ 5 17]
29   [ 9 21]]
30 
31  [[ 2 14]
32   [ 6 18]
33   [10 22]]
34 
35  [[ 3 15]
36   [ 7 19]
37   [11 23]]
38 
39  [[ 4 16]
40   [ 8 20]
41   [12 24]]] (4, 3, 2)
42 [[[ 1 13]
43   [ 2 14]
44   [ 3 15]
45   [ 4 16]]
46 
47  [[ 5 17]
48   [ 6 18]
49   [ 7 19]
50   [ 8 20]]
51 
52  [[ 9 21]
53   [10 22]
54   [11 23]
55   [12 24]]] (3, 4, 2)