Python | Numpy MaskedArray .__ add__

Arrays | NumPy | Python Methods and Functions

numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. With Numpy MaskedArray .__ add__ we can add a specific value that is provided as a parameter in the MaskedArray .__ add __ () method. A value will be appended to each item in the NumPy array.

Syntax: numpy.MaskedArray .__ add__

Return: Add self to other, and return a new masked array.

Example # 1:
In this example, we see that each element of the array is added with the value specified as a parameter in the MaskedArray .__ add __ () method. Remember one thing, this will not work for double type values.

# import important module into 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 )) 

Exit:

 [6 7 8 9 10] 

Example # 2:

# import important module into 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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