Python | Numpy numpy.ndarray.__divmod__() Last Updated : 12 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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__($self, value, /) Return: divmod(self, value) Example #1 : In this example we can see that by using ndarray.__divmod__() method we get two arrays. One is with divided with value that is passed as parameter and other with mod values. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__divmod__() method print(gfg.__divmod__(3)) Output: (array([0, 0, 1, 1, 1]), array([1, 2, 0, 1, 2])) Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__divmod__() method print(gfg.__divmod__(3)) Output: (array([[0, 0, 1, 1, 1], [2, 1, 1, 1, 0]]), array([[1, 2, 0, 1, 2], [0, 2, 1, 0, 2]])) Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__divmod__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__mod__() With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__(). Syntax: ndarray.__mod__($self, value, /) Return: self%value Exam 1 min read Python | Numpy numpy.ndarray.__imul__() With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array. Syntax: ndarray.__imul__($self, value, /)Return: self*=value Example #1 : In this example 1 min read Python | Numpy numpy.ndarray.__iadd__() With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array. Syntax: ndarray.__iadd__($self, value, /) Return: self+=value Example #1 : In this example we can s 1 min read Python | Numpy numpy.ndarray.__floordiv__() With the help of Numpy numpy.ndarray.__floordiv__(), one can divide a particular value that is provided as a parameter in the ndarray.__floordiv__() method. Value will be divided to each and every element in a numpy array and remember it always gives the floor value after division. Syntax: ndarray._ 1 min read Python | Numpy numpy.ndarray.__isub__() With the help of numpy.ndarray.__isub__() method, we can subtract a particular value that is provided as a parameter in the ndarray.__isub__() method. Value will be subtracted to every element in a numpy array. Syntax: ndarray.__isub__($self, value, /) Return: self-=value Example #1 : In this exampl 1 min read Like