Python | Numpy MaskedArray.__iand__() Last Updated : 23 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.__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.__iand__($self, value, /) Return: Return self&=value. Example #1 : In this example we can see that every element is anded by the value that is passed as a parameter in MaskedArray.__iand__() 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.__iand__() method print(gfg.__iand__(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.__iand__() method print(gfg.__iand__(1)) Output: [[1 0 1 0 1] [0 1 0 1 0]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__div__ S Shivam_k Follow Improve Article Tags : Python Python-pandas Python numpy-ndarray Practice Tags : python Similar Reads Python | Numpy MaskedArray.__and__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__and__ method we can get the elements that is anded by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__and__ Return: Return self 1 min read Python | Numpy MaskedArray.__add__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__add__ we can add a particular value that is provided as a parameter in the MaskedArray.__add__() method. Value will be added to each and every element i 1 min read 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.__abs__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__abs__ operator we can find the absolute value of each and every element in an array. Suppose we have a values 31.74, with the help of MaskedArray.__abs_ 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.__ixor__() 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._ 1 min read Like