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Python | Numpy numpy.ndarray.__mod__()

  • 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 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]]

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