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: Divide other into self, and return a new masked array.
Example #1 :
In this example we can see that each and every element in an array is divided with the value given as a parameter in method MaskedArray.__div__().
# import the important module in python import numpy as np   # make an array with numpy gfg = np.ma.array([22, 33, 44, 55, 77])   # applying MaskedArray.__div__() method print(gfg.__div__(11)) |
Output:
[2.0 3.0 4.0 5.0 7.0]
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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([[10, 20, 30, 40, 50],                 [11, 22, 33, 44, 55]])   # applying MaskedArray.__div__() method print(gfg.__div__(5)) |
Output:
[[2.0 4.0 6.0 8.0 10.0] [2.2 4.4 6.6 8.8 11.0]]
