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 in a numpy array.
Syntax: numpy.MaskedArray.__add__
Return: Add self to other, and return a new masked array.
Example #1 :
In this example we can see that each and every element in an array is added with the value given as a parameter in method MaskedArray.__add__(). Remember one thing it wouldn’t work for double type values.
# 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.__add__() method print(gfg.__add__(5)) |
Output:
[ 6 7 8 9 10]
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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.__add__() method print(gfg.__add__(5)) |
Output:
[[ 6 7 8 9 10] [11 10 9 8 7]]
