Python | Numpy MaskedArray.__rand__ Last Updated : 08 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.__rand__ method we can get the elements that is anded by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rand__ Return: Return value&self. Example #1 : In this example we can see that every element is anded by the value that is passed as a 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]) # applying MaskedArray.__rand__() method print(gfg.__rand__(2)) Output: [0 2 2 0 0] 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.__rand__() method print(gfg.__rand__(1)) Output: [[1 0 1 0 1] [0 1 0 1 0]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__radd__ S Shivam_k Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy MaskedArray.__radd__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__radd__ we can add a particular value that is provided as a parameter in the MaskedArray.__radd__() method. Value will be added to each and every element 1 min read Python | Numpy MaskedArray.__rmod__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rmod__ every element in masked array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is 1 min read Python | Numpy MaskedArray.__ror__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ror__ method we can get the elements that is OR with the value that is provided as a parameter. Syntax: numpy.MaskedArray.__ror__ Return: Return value|s 1 min read Python | Numpy MaskedArray.__xor__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__xor__ method we can get the elements that is XOR by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__xor__($self, value, /) Return 1 min read Python | Numpy MaskedArray.__rmul__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rmul__ we can multiply a particular value that is provided as a parameter in the MaskedArray.__rmul__() method. Syntax: numpy.MaskedArray.__rmul__ Retur 1 min read Python | Numpy MaskedArray.__rsub__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rsub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__rsub__() method. Value will be subtracted from each and e 1 min read Like