# !usr/bin/env python

 # Author:@vilicute

 import numpy as np

 # 矩阵的创建

 matr1 = np.mat("4 2 3;4 5 6;7 8 9")

 matr2 = np.matrix([[4,5,6],[7,8,9],[1,2,3]])

 print("\nmatr1=\n",matr1)

 print("\nmatr2=\n",matr2)

 arr1 = np.eye(3)

 arr2 = arr1*3

 arr3 = np.random.randint(0,10,size = [3,3])

 arr4 = np.random.randint(6,10,size = [3,3])

 matr3 = np.bmat("arr1 arr3;arr4 arr2")

 print("\nmatr3=\n",matr3)

 # 矩阵的运算

 matr_numul = matr1*4

 matr_add = matr1 + matr2

 matr_sub = matr1 - matr2

 matr_mul = matr1 * matr2

 matr_multiply = np.multiply(matr1, matr2)

 print("\n数乘：\n", matr_numul)

 print("\n相加：\n", matr_add)

 print("\n相减：\n", matr_sub)

 print("\n相乘：\n", matr_mul)

 print("\n对应元素相乘：\n", matr_multiply)

 print("\n转置：\n", matr1.T)

 print("\n共轭转置：\n", matr1.H)

 print("\n求逆：\n", matr1.I)

 print("\n二维数组视图：\n", matr1.A)

 '''

 matr1=

  [[4 2 3]

  [4 5 6]

  [7 8 9]]

 matr2=

  [[4 5 6]

  [7 8 9]

  [1 2 3]]

 matr3=

  [[1. 0. 0. 4. 8. 1.]

  [0. 1. 0. 5. 3. 3.]

  [0. 0. 1. 5. 1. 1.]

  [6. 8. 8. 3. 0. 0.]

  [9. 8. 8. 0. 3. 0.]

  [9. 7. 7. 0. 0. 3.]]

 数乘：

  [[16  8 12]

  [16 20 24]

  [28 32 36]]

 相加：

  [[ 8  7  9]

  [11 13 15]

  [ 8 10 12]]

 相减：

  [[ 0 -3 -3]

  [-3 -3 -3]

  [ 6  6  6]]

 相乘：

  [[ 33  42  51]

  [ 57  72  87]

  [ 93 117 141]]

 对应元素相乘：

  [[16 10 18]

  [28 40 54]

  [ 7 16 27]]

 转置：

  [[4 4 7]

  [2 5 8]

  [3 6 9]]

 共轭转置：

  [[4 4 7]

  [2 5 8]

  [3 6 9]]

 求逆：

  [[ 0.33333333 -0.66666667  0.33333333]

  [-0.66666667 -1.66666667  1.33333333]

  [ 0.33333333  2.         -1.33333333]]

 二维数组视图：

  [[4 2 3]

  [4 5 6]

  [7 8 9]]

 '''