Python | Numpy MaskedArray.__irshift__() Last Updated : 23 Apr, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report 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: numpy.MaskedArray.__irshift__(other) Return: 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 MaskedArray.__irshift__() method. Python3 1== # import the important module in python import numpy as np # make an array with numpy gfg = np.ma.array([1, 2, 3, 4, 5]) # applying MaskedArray.__irshift__() method print(gfg.__irshift__(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.ma.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying MaskedArray.__irshift__() method print(gfg.__irshift__(1)) Output: [[0 1 1 2 2] [3 2 2 1 1]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__ior__() S Shivam_k Follow Improve Article Tags : Python Python-pandas Python numpy-ndarray Practice Tags : python Similar Reads 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 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.__ior__() numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ior__we can get the elements that is OR by the value that is provided as a parameter in the MaskedArray.__ior__() method. Syntax: numpy.MaskedArray.__io 1 min read Python | Numpy MaskedArray.__ixor__() numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ixor__we can get the elements that is XOR by the value that is provided as a parameter in the MaskedArray.__ixor__() method. Syntax: numpy.MaskedArray._ 1 min read Python | Numpy MaskedArray.__lt__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__lt__ operator we can find that which element in an array is less than the value which is provided in the parameter. Syntax: numpy.MaskedArray.__lt__ Ret 1 min read Python | Numpy MaskedArray.__gt__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__gt__ operator we can find that which element in an array is greater than the value which is provided in the parameter. Syntax: numpy.MaskedArray.__gt__ 1 min read Like