Python | Numpy numpy.ndarray.mod() (original) (raw)

Last Updated : 08 Mar, 2019

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 numpy as np

gfg = np.array([ 1 , 2.5 , 3 , 4.8 , 5 ])

print (gfg.__mod__( 2 ))

Output:

[ 1. 0.5 1. 0.8 1. ]

Example #2 :

import numpy as np

gfg = np.array([[ 1 , 2 , 3 , 4.45 , 5 ],

`` [ 6 , 5.5 , 4 , 3 , 2.62 ]])

print (gfg.__mod__( 3 ))

Output:

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

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