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. Python3 1==

# 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))

Example #2 : Python3 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))