Python | Numpy MaskedArray.__ge__ Last Updated : 27 Mar, 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.__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.MaskedArray.__ge__ Return: self>=value Example #1 : In this example we can see that after applying MaskedArray.__ge__(), we get the simple boolean array that can tell us which element in an array is greater than or equal that of provided 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, 6]) # applying MaskedArray.__ge__() method print(gfg.__ge__(4)) Output: [False False False True True True] 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], [6, 5, 4, 3, 2, 1]]) # applying MaskedArray.__ge__() method print(gfg.__ge__(4)) Output: [[False False False True True True] [ True True True False False False]] Comment More infoAdvertise with us Next Article Python | Numpy MaskedArray.__ge__ S Shivam_k Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads 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 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 Python | Numpy MaskedArray.__le__ numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__le__ operator we can find that which element in an array is less than or equal to the value which is provided in the parameter. Syntax: numpy.MaskedArra 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 Numpy MaskedArray.getdata() - Python numpy.ma.getdata() function is used return the data of a masked array as an ndarray. Return the data of arr as an ndarray if arr is a MaskedArray, else return arr as a ndarray or subclass if not. Syntax : numpy.ma.getdata(a, subok=True) Parameters : arr : [array_like] Input MaskedArray, alternativel 2 min read 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.__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.__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.__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 Like