Create a Numpy array with random values | Python

Last Updated : 24 Oct, 2019

In this article, we will learn how to create a Numpy array filled with random values, given the shape and type of array.

We can use Numpy.empty() method to do this task. This method takes three parameters, discussed below –

-> shape : Number of rows
-> order : C_contiguous or F_contiguous
-> dtype : [optional, float(by Default)] Data type of returned array.

Example #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) 

Output:

Matrix b : 
 [140489599921032        21301024]

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

Example #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)
   

Output:

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]]

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