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.
   # 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]
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Example #2:
# 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]]
