Python | Numpy numpy.ndarray.__mod__()
Last Updated :
08 Mar, 2019
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Python3 1==
Python3 1==
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%valueExample #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:
Example #2 :
[ 1. 0.5 1. 0.8 1. ]
# 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]]
