Python | Numpy numpy.ndarray.__rshift__() Last Updated : 12 Mar, 2019 Comments Improve Suggest changes Like Article Like Report With the help of numpy.ndarray.__rshift__() method, we can get the elements that is right shifted by the value that is provided as a parameter in numpy.ndarray.__rshift__() method. Syntax: ndarray.__rshift__($self, value, /) Return: self>>value Example #1 : In this example we can see that every element is right shifted by the value that is passed as a parameter in ndarray.__rshift__() method. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__rshift__() method print(gfg.__rshift__(2)) Output: [0 0 0 1 1] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__rshift__() method print(gfg.__rshift__(1)) Output: [[0 1 1 2 2] [3 2 2 1 1]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__pos__() J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__pos__() With the help of numpy.ndarray.__pos__() method of Numpy, one can multiply each and every element of an array with 1. Hence, the resultant array having values same as original array. Syntax: ndarray.__pos__($self, /) Return: +self Example #1 : In this example we can see that after applying numpy.__p 1 min read Python | Numpy MaskedArray.__rshift__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rshift__ method we can get the elements that is right shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rshift__ Return: 1 min read Python | Numpy MaskedArray.__rlshift__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rlshift__ method we can get the elements that is right shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rlshift__ Retur 1 min read Python | Numpy MaskedArray.__rrshift__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rrshift__ method we can get the elements that is right shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rrshift__ Retur 1 min read Python | Numpy numpy.ndarray.__lshift__() With the help of Numpy numpy.ndarray.__lshift__() method, we can get the elements that is left shifted by the value that is provided as a parameter in numpy.ndarray.__lshift__() method. Syntax: ndarray.__lshift__($self, value, /) Return: self<<value Example #1 : In this example we can see that 1 min read Python | Numpy numpy.ndarray.__invert__() With the help of Numpy numpy.ndarray.__invert__(), one can invert the elements of an array. We don't have to provide any type of parameter but remember that this method only works for integer values. Syntax: ndarray.__invert__($self, /) Return: ~self Example #1 : In this example we can see that ever 1 min read Like