Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Python | Numpy MaskedArray.__rand__

  • Last Updated : 08 Apr, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rand__ method we can get the elements that is anded by the value that is provided as a parameter.

Syntax: numpy.MaskedArray.__rand__

Return: Return value&self.

Example #1 :
In this example we can see that every element is anded by the value that is passed as a parameter.




   
# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([1, 2, 3, 4, 5]) 
      
# applying MaskedArray.__rand__() method 
print(gfg.__rand__(2)) 
Output:
[0 2 2 0 0]

 
Example #2:




# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([[1, 2, 3, 4, 5], 
                [6, 5, 4, 3, 2]]) 
      
# applying MaskedArray.__rand__() method 
print(gfg.__rand__(1)) 
Output:
[[1 0 1 0 1]
 [0 1 0 1 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 :

Start Your Coding Journey Now!