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]]