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__($self, value, /) Return: self<<value Example #1 : In this example we can see that every element is left shifted by the value that is passed as a parameter in ndarray.__lshift__() method. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__lshift__() method print(gfg.__lshift__(2)) Output: [ 4 8 12 16 20] Example #2 : Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__lshift__() method print(gfg.__lshift__(1)) Output: [[ 2 4 6 8 10] [12 10 8 6 4]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__ilshift__() J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy numpy.ndarray.__invert__() With the help of Numpy numpy.ndarray.__invert__(), one can invert the elements of an array. We don't have to provide any type of parameter but remember that this method only works for integer values. Syntax: ndarray.__invert__($self, /) Return: ~self Example #1 : In this example we can see that ever 1 min read Python | Numpy 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 Python | Numpy MaskedArray.__irshift__() numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__irshift__we can get the elements that is right shifted by the value that is provided as a parameter in the MaskedArray.__irshift__() method. Syntax: num 1 min read numpy.asarray() in Python numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and arrays. Syntax : numpy.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a 2 min read Like