Python | Numpy numpy.ndarray.__mod__()

With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__().

Syntax: ndarray.__mod__($self, value, /)

Return: self%value

Example #1 :
In this example we can see that value that we have passed through ndarray.__mod__() method is used to perform the mod operation with every element of an array.

# import the important module in python 
import numpy as np 
    
# make an array with numpy 
gfg = np.array([1, 2.5, 3, 4.8, 5]) 
    
# applying ndarray.__mod__() method 
print(gfg.__mod__(2)) 

Output:

[ 1.   0.5  1.   0.8  1. ]

Example #2 :

# import the important module in python 
import numpy as np 
    
# make an array with numpy 
gfg = np.array([[1, 2, 3, 4.45, 5], 
                [6, 5.5, 4, 3, 2.62]]) 
    
# applying ndarray.__mod__() method 
print(gfg.__mod__(3)) 

Output:

[[ 1.    2.    0.    1.45  2.  ]
 [ 0.    2.5   1.    0.    2.62]]

My Personal Notes

Recommended Posts:

Jitender_1998

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Jul	AUG	Sep
	20
2018	2019	2020

Suggest a Topic

Recommended Posts: