Python | Numpy numpy.ndarray.__sub__() Last Updated : 06 Mar, 2019 Comments Improve Suggest changes Like Article Like Report With the help of Numpy numpy.ndarray.__sub__(), We can subtract a particular value that is provided as a parameter in the ndarray.__sub__() method. Value will be subtracted to each and every element in a numpy array. Syntax: ndarray.__sub__($self, value, /) Return: self-value Example #1 : In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method ndarray.__sub__(). Remember one thing it wouldn't work for double type values. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__sub__() method print(gfg.__sub__(5)) Output: [-4 -3 -2 -1 0] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__sub__() method print(gfg.__sub__(5)) Output: [[-4 -3 -2 -1 0] [ 1 0 -1 -2 -3]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__sub__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__add__() With the help of Numpy numpy.ndarray.__add__(), we can add a particular value that is provided as a parameter in the ndarray.__add__() method. Value will be added to each and every element in a numpy array. Syntax: ndarray.__add__($self, value, /) Return: self+value Example #1 : In this example we c 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__($self, value, /) Return: self%value Exam 1 min read Python | Numpy numpy.ndarray.__and__() With the help of Numpy numpy.ndarray.__and__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__and__() method. Syntax: ndarray.__and__($self, value, /) Return: self&value Example #1 : In this example we can see that every element is a 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__($self, value, /) Return: self-=value Example #1 : In this exampl 1 min read Python | Numpy numpy.ndarray.__imul__() With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array. Syntax: ndarray.__imul__($self, value, /)Return: self*=value Example #1 : In this example 1 min read Like