Python | Numpy MaskedArray.__add__
Last Updated :
27 Mar, 2019
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 numpy as np
gfg = np.ma.array([ 1 , 2 , 3 , 4 , 5 ])
print (gfg.__add__( 5 ))
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Example #2:
import numpy as np
gfg = np.ma.array([[ 1 , 2 , 3 , 4 , 5 ],
[ 6 , 5 , 4 , 3 , 2 ]])
print (gfg.__add__( 5 ))
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Output:
[[ 6 7 8 9 10]
[11 10 9 8 7]]
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