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Python | Numpy MaskedArray.__add__

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  • 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 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]

 
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]]
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