2-2 Numpy-矩阵

 # !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]]
 '''