Python | numpy.ma.ids() method Last Updated : 03 Oct, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of numpy.ma.ids() method, we can get the address of masked array having data by using numpy.ma.ids() method. Syntax : numpy.ma.ids(array, mask) Return : Return the address of masked array. Example #1 : In this example we can see that by using numpy.ma.ids() method, we are able to get the address of the targeted masked array. Python3 1=1 # import numpy.ma import numpy.ma as ma # using numpy.ma.ids() method gfg = ma.array([1, 2, 4, 8], mask =[1, 0, 0, 1]) print(gfg.ids()) Output : (2172543392448, 2172542026240) Example #2 : Python3 1=1 # import numpy.ma import numpy.ma as ma # using numpy.ma.ids() method gfg = ma.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], mask =[[1, 0, 0], [0, 1, 0], [0, 0, 1]]) print(gfg.ids()) print(gfg) Output : (2172299359856, 2172543392224) masked_array( data=[[--, 2, 3], [4, --, 6], [7, 8, --]], mask=[[ True, False, False], [False, True, False], [False, False, True]], fill_value=999999) Comment More infoAdvertise with us Next Article Python | numpy.ma.ids() method J jitender_1998 Follow Improve Article Tags : Technical Scripter Python Python-numpy Practice Tags : python Similar Reads 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.__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.__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.__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 Like