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.
# 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 :
# 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]]))
