Skip to content
Related Articles

Related Articles

Improve Article

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]]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :