Python | Numpy MaskedArray.__ilshift__() Last Updated : 29 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.__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: numpy.MaskedArray.__ilshift__(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.__ilshift__() 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.__ilshift__() method print(gfg.__ilshift__(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.ma.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying MaskedArray.__ilshift__() method print(gfg.__ilshift__(1)) Output: [[ 2 4 6 8 10] [12 10 8 6 4]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__gt__ S Shivam_k Follow Improve Article Tags : Python Python-pandas Python numpy-ndarray Practice Tags : python Similar Reads 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.__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 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.__le__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__le__ operator we can find that which element in an array is less than or equal to the value which is provided in the parameter. Syntax: numpy.MaskedArra 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 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 Like