Python | Numpy numpy.ndarray.__floordiv__() Last Updated : 06 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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.__floordiv__($self, value, /) Return: self//value Example #1 : In this example, we can see that each element in an array is divided with the value given as a parameter in method ndarray.__floordiv__() and gives the floor value of every element that is divided in an array. This method will work fine for positive, negative and floating point values of an array. Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2.5, 3, 4.8, 5]) # applying ndarray.__floordiv__() method print(gfg.__floordiv__(2)) Output: [ 0. 1. 1. 2. 2.] Example #2 : Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4.45, 5], [6, 5.5, 4, 3, 2.62]]) # applying ndarray.__floordiv__() method print(gfg.__floordiv__(3)) Output: [[ 0. 0. 1. 1. 1.] [ 2. 1. 1. 1. 0.]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__floordiv__() J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy ndarray.__ifloordiv__() With the help of Numpy ndarray.__ifloordiv__(), we can divide a particular value that is provided as a parameter in the ndarray.__ifloordiv__() method. Value will be divided to each and every element in a numpy array and remember it always gives the floor value after division. Syntax: ndarray.__iflo 1 min read Python | Numpy numpy.ndarray.__mod__() With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__(). Syntax: ndarray.__mod__($self, value, /) Return: self%value Exam 1 min read Python | Numpy numpy.ndarray.__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__() me 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__($self, value, /) Return: self-=value Example #1 : In this exampl 1 min read Python | Numpy numpy.ndarray.__iadd__() With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array. Syntax: ndarray.__iadd__($self, value, /) Return: self+=value Example #1 : In this example we can s 1 min read Like