2-2 Numpy-矩阵

 1 # !usr/bin/env python
 2 # Author:@vilicute
 3 
 4 import numpy as np
 5 # 矩阵的创建
 6 matr1 = np.mat("4 2 3;4 5 6;7 8 9")
 7 matr2 = np.matrix([[4,5,6],[7,8,9],[1,2,3]])
 8 print("\nmatr1=\n",matr1)
 9 print("\nmatr2=\n",matr2)
10 
11 arr1 = np.eye(3)
12 arr2 = arr1*3
13 arr3 = np.random.randint(0,10,size = [3,3])
14 arr4 = np.random.randint(6,10,size = [3,3])
15 matr3 = np.bmat("arr1 arr3;arr4 arr2")
16 print("\nmatr3=\n",matr3)
17 
18 
19 # 矩阵的运算
20 matr_numul = matr1*4
21 matr_add = matr1 + matr2
22 matr_sub = matr1 - matr2
23 matr_mul = matr1 * matr2
24 matr_multiply = np.multiply(matr1, matr2)
25 print("\n数乘：\n", matr_numul)
26 print("\n相加：\n", matr_add)
27 print("\n相减：\n", matr_sub)
28 print("\n相乘：\n", matr_mul)
29 print("\n对应元素相乘：\n", matr_multiply)
30 
31 print("\n转置：\n", matr1.T)
32 print("\n共轭转置：\n", matr1.H)
33 print("\n求逆：\n", matr1.I)
34 print("\n二维数组视图：\n", matr1.A)

35 '''
36 matr1=
37  [[4 2 3]
38  [4 5 6]
39  [7 8 9]]
40 matr2=
41  [[4 5 6]
42  [7 8 9]
43  [1 2 3]]
44 matr3=
45  [[1. 0. 0. 4. 8. 1.]
46  [0. 1. 0. 5. 3. 3.]
47  [0. 0. 1. 5. 1. 1.]
48  [6. 8. 8. 3. 0. 0.]
49  [9. 8. 8. 0. 3. 0.]
50  [9. 7. 7. 0. 0. 3.]]
51 数乘：
52  [[16  8 12]
53  [16 20 24]
54  [28 32 36]]
55 相加：
56  [[ 8  7  9]
57  [11 13 15]
58  [ 8 10 12]]
59 相减：
60  [[ 0 -3 -3]
61  [-3 -3 -3]
62  [ 6  6  6]]
63 相乘：
64  [[ 33  42  51]
65  [ 57  72  87]
66  [ 93 117 141]]
67 对应元素相乘：
68  [[16 10 18]
69  [28 40 54]
70  [ 7 16 27]]
71 转置：
72  [[4 4 7]
73  [2 5 8]
74  [3 6 9]]
75 共轭转置：
76  [[4 4 7]
77  [2 5 8]
78  [3 6 9]]
79 求逆：
80  [[ 0.33333333 -0.66666667  0.33333333]
81  [-0.66666667 -1.66666667  1.33333333]
82  [ 0.33333333  2.         -1.33333333]]
83 二维数组视图：
84  [[4 2 3]
85  [4 5 6]
86  [7 8 9]]
87 '''