Python | Numpy MaskedArray.__rdivmod__ Last Updated : 02 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.__rdivmod__ we will get two arrays one is having elements that is divided by value that is provided in numpy.ma.__rdivmod__() method and second is having elements that perform mod operation with same value as provided in numpy.ma.__rdivmod__() method. Syntax: numpy.MaskedArray.__rdivmod__ Return: Return divmod( value, self). Example #1 : In this example we can see that by using MaskedArray.__rdivmod__() method we get two arrays. One is with divided with value that is passed as parameter and other with mod values. 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.__rdivmod__() method print(gfg.__rdivmod__(3)) Output: (masked_array(data = [3 1 1 0 0], mask = [False False False False False], fill_value = 999999), masked_array(data = [0 1 0 3 3], mask = [False False False False False], fill_value = 999999) ) 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.__rdivmod__() method print(gfg.__rdivmod__(3)) Output: (masked_array(data = [[3 1 1 0 0] [0 0 0 1 1]], mask = [[False False False False False] [False False False False False]], fill_value = 999999), masked_array(data = [[0 1 0 3 3] [3 3 3 0 1]], mask = [[False False False False False] [False False False False False]], fill_value = 999999) ) Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__rdivmod__ S Shivam_k Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads 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.__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.__truediv__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__truediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__truediv__() method. Syntax: numpy.MaskedArray.__truediv_ 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.__rtruediv__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rtruediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__rtruediv__() method. Syntax: numpy.MaskedArray.__rtrued 1 min read Like