Python | Numpy numpy.ndarray.__lshift__() Last Updated : 12 Mar, 2019 Comments Improve Suggest changes Like Article Like Report 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__($self, value, /) Return: self<<value Example #1 : In this example we can see that every element is left shifted by the value that is passed as a parameter in ndarray.__lshift__() method. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__lshift__() method print(gfg.__lshift__(2)) Output: [ 4 8 12 16 20] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__lshift__() method print(gfg.__lshift__(1)) Output: [[ 2 4 6 8 10] [12 10 8 6 4]] Comment More infoAdvertise with us Next Article Python | Numpy numpy.ndarray.__lshift__() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__invert__() With the help of Numpy numpy.ndarray.__invert__(), one can invert the elements of an array. We don't have to provide any type of parameter but remember that this method only works for integer values. Syntax: ndarray.__invert__($self, /) Return: ~self Example #1 : In this example we can see that ever 1 min read Python | Numpy numpy.ndarray.__sub__() 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__($self, value, /) Return: self-value Example #1 : In this ex 1 min read Python | Numpy MaskedArray.__lshift__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__lshift__ method we can get the elements that is left shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__lshift__ Return: 1 min read Python | Numpy MaskedArray.__ilshift__() numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ilshift__we can get the elements that is left shifted by the value that is provided as a parameter in the MaskedArray.__ilshift__() method. Syntax: nump 1 min read Python | Numpy numpy.ndarray.__rshift__() With the help of numpy.ndarray.__rshift__() method, we can get the elements that is right shifted by the value that is provided as a parameter in numpy.ndarray.__rshift__() method. Syntax: ndarray.__rshift__($self, value, /) Return: self>>value Example #1 : In this example we can see that ever 1 min read Like