Python | Numpy numpy.ndarray.__divmod__()
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 pythonimport numpy as np # make an array with numpygfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__divmod__() methodprint(gfg.__divmod__(3)) |
(array([0, 0, 1, 1, 1]), array([1, 2, 0, 1, 2]))
Example #2 :
# import the important module in pythonimport numpy as np # make an array with numpygfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__divmod__() methodprint(gfg.__divmod__(3)) |
(array([[0, 0, 1, 1, 1],
[2, 1, 1, 1, 0]]),
array([[1, 2, 0, 1, 2],
[0, 2, 1, 0, 2]]))
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course
