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Python | Numpy MaskedArray.__sub__

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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.__sub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__sub__() method. Value will be subtracted from each and every element in a numpy array.

Syntax: numpy.MaskedArray.__sub__

Return: Subtract others from self, and return a new masked array.

Example #1 :
In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method MaskedArray.__sub__(). 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([11, 22, 23, 24, 25]) 
  
# applying MaskedArray.__sub__() method 
print(gfg.__sub__(5)) 
Output:
[ 6 17 18 19 20]

 
Example #2:




# import the important module in python 
import numpy as np 
  
# make an array with numpy 
gfg = np.ma.array([[21, 22, 23, 24, 25], 
                [26, 25, 24, 23, 22]]) 
  
# applying MaskedArray.__sub__() method 
print(gfg.__sub__(5)) 
Output:
[[16 17 18 19 20]
 [21 20 19 18 17]]
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