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 pythonimport numpy as np # make an array with numpygfg = np.array([1, 2.5, 3, 4.8, 5]) # applying ndarray.__mod__() methodprint(gfg.__mod__(2)) |
[ 1. 0.5 1. 0.8 1. ]
Example #2 :
# import the important module in pythonimport numpy as np # make an array with numpygfg = np.array([[1, 2, 3, 4.45, 5], [6, 5.5, 4, 3, 2.62]]) # applying ndarray.__mod__() methodprint(gfg.__mod__(3)) |
[[ 1. 2. 0. 1.45 2. ] [ 0. 2.5 1. 0. 2.62]]
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
