Python | Numpy MaskedArray.__lt__ Last Updated : 13 May, 2022 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.__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__ Return: self<value. Example #1 : In this example we can see that after applying MaskedArray.__lt__(), we get the simple boolean array that can tell us which element in an array is less than that of provided parameter. Python3 # 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]) # applying MaskedArray.__lt__() method print(gfg.__lt__(4)) Output:[ True True True False False False] Example #2: Python3 # 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], [6, 5, 4, 3, 2, 1]]) # applying MaskedArray.__lt__() method print(gfg.__lt__(4)) Output:[[ True True True False False False] [False False False True True True]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__gt__ S Shivam_k Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads 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.__ge__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ge__ operator we can find that which element in an array is greater than or equal to the value which is provided in the parameter. Syntax: numpy.MaskedA 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.__eq__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__eq__ operator we can find that which element in an array is equal to the value which is provided in the parameter. Syntax: numpy.MaskedArray.__eq__ Retu 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 Like