Python | Numpy numpy.ndarray.__iadd__()

Python | Numpy numpy.ndarray.divmod()

Last Updated : 12 Mar, 2019

With the help of Numpy numpy.ndarray.__divmod__() method, we will get two arrays one is having elements that is divided by value that is provided in numpy.ndarray.__divmod__() method and second is having elements that perform mod operation with same value as provided in numpy.ndarray.__divmod__() method.

Syntax: ndarray.__divmod__($self, value, /) Return: divmod(self, value)

Example #1 : In this example we can see that by using ndarray.__divmod__() method we get two arrays. One is with divided with value that is passed as parameter and other with mod values.

Python3 1==

# import the important module in python
import numpy as np
  
# make an array with numpy
gfg = np.array([1, 2, 3, 4, 5])
  
# applying ndarray.__divmod__() method
print(gfg.__divmod__(3))

Output:

(array([0, 0, 1, 1, 1]), array([1, 2, 0, 1, 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, 5],
                [6, 5, 4, 3, 2]])
  
# applying ndarray.__divmod__() method
print(gfg.__divmod__(3))

Output:

(array([[0, 0, 1, 1, 1],
       [2, 1, 1, 1, 0]]), 
 array([[1, 2, 0, 1, 2],
       [0, 2, 1, 0, 2]]))

Python | Numpy numpy.ndarray.__iadd__()

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