numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rtruediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__rtruediv__() method.
Syntax: numpy.MaskedArray.__rtruediv__
Return: Divide self into others, 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.__rtruediv__().
# 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.__rtruediv__() method print(gfg.__rtruediv__(11)) |
Output:
[0.5 0.3333333333333333 0.25 0.2 0.14285714285714285]
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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],                 [110, 220, 330, 440, 550]])   # applying MaskedArray.__rtruediv__() method print(gfg.__rtruediv__(10)) |
Output:
[[1.0 0.5 0.3333333333333333 0.25 0.2] [0.09090909090909091 0.045454545454545456 0.030303030303030304 0.022727272727272728 0.01818181818181818]]
