Numpy用随机值创建一个数组

在这篇文章中，我们将学习如何创建一个充满随机值的Numpy数组，给出数组的形状和类型。

我们可以使用Numpy.empty()方法来完成这一任务。这个方法需要三个参数，讨论如下

-> shape : 行数
-> order : C_contiguous 或 F_contiguous
-> dtype : [optional, float(by Default)] 返回阵列的数据类型。

示例 #1:

# Python Program to create numpy array 
# filled with random values
import numpy as geek 
    
b = geek.empty(2, dtype = int) 
print("Matrix b : \n", b) 
    
a = geek.empty([2, 2], dtype = int) 
print("\nMatrix a : \n", a)

输出:

Matrix b : 
 [140489599921032        21301024]

Matrix a : 
 [[140489599921048        18650592]
 [       10738656 140489568798064]]

示例 #2:

# Python Program to create numpy array 
# filled with random values
import numpy as geek 
  
# Python Program to create numpy array 
# filled with random values
import numpy as geek 
  
c = geek.empty([3, 3]) 
print("\nMatrix c : \n", c)
  
d = geek.empty([5, 3], dtype = int) 
print("\nMatrix d : \n", d)

输出:

Matrix c : 
 [[  1.37596097e-316   5.39314154e-317   5.39307830e-317]
 [  5.39345774e-317   5.39345774e-317   6.93325440e-310]
 [  5.39481741e-317   6.93325440e-310   8.69555537e-322]]

Matrix d : 
 [[140330665569272        23735792               0]
 [       10739936 140330589556496               0]
 [              0               0        10739904]
 [140330587337872               0        10915968]
 [              0        10739904               0]]