Python | Numpy MaskedArray.__ne__ Last Updated : 27 Mar, 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.__ne__ operator we can find that which element in an array is not equal to the value which is provided in the parameter. Syntax: numpy.MaskedArray.__ne__ Return: self!=value Example #1 ,: In this example we can see that after applying MaskedArray.__ne__(), we get the simple boolean array that can tell us which element in an array is not equal that of provided parameter. 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]) # applying MaskedArray.__ne__() method print(gfg.__ne__(4)) Output: [ True True True False True True] 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], [6, 5, 4, 3, 2, 1]]) # applying MaskedArray.__ne__() method print(gfg.__ne__(4)) Output: [[ True True True False True True] [ True True False True True True]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__lt__ S Shivam_k Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy MaskedArray.__mod__ What is a mask? A boolean array, used to select only certain elements for an operation Python3 # A mask example import numpy as np x = np.arange(5) print(x) mask = (x > 2) print(mask) x[mask] = -1 print(x) Output: [0 1 2 3 4] [False False False True True] [ 0 1 2 -1 -1] numpy.ma.MaskedArray class 2 min read Python | Numpy MaskedArray.__mul__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__mul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__mul__() method. Syntax: numpy.MaskedArray.__mul__ Return: 1 min read Python | Numpy MaskedArray.__or__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__or__ method we can get the elements that is OR by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__or__ Return: Return self|value. 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.__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.__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 Like