Python | Numpy MaskedArray.__ixor__() Last Updated : 23 Apr, 2019 Comments Improve Suggest changes 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.__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.__ixor__($self, value, /) Return: Return self^=value. Example #1 : In this example we can see that every element is XOR by the value that is passed as a parameter in MaskedArray.__ixor__() 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.__ixor__() method print(gfg.__ixor__(2)) Output: [3 0 1 6 7] 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.__ixor__() method print(gfg.__ixor__(1)) Output: [[0 3 2 5 4] [7 4 5 2 3]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__ixor__() S Shivam_k Follow Improve Article Tags : Python Python-pandas Python numpy-ndarray Practice Tags : python Similar Reads 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.__div__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__div__ we can divide a particular value that is provided as a parameter in the MaskedArray.__div__() method. Syntax: numpy.MaskedArray.__div__ Return: Di 1 min read Python | Numpy MaskedArray.__iand__() numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__iand__we can get the elements that is anded by the value that is provided as a parameter in the MaskedArray.__iand__() method. Syntax: numpy.MaskedArray 1 min read Python | Numpy MaskedArray.__divmod__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__divmod__ we will get two arrays one is having elements that is divided by value that is provided in numpy.ma.__divmod__() method and second is having el 2 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.__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 ndarray.__ixor__() With the help of Numpy ndarray.__ixor__() method, we can get the elements that is XOR by the value that is provided as a parameter in numpy.ndarray.__ixor__() method. Syntax: ndarray.__ixor__($self, value, /) Return: self^=value Example #1 : In this example we can see that every element is xor by th 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.__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