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Python | Numpy MaskedArray.__isub__

Last Updated : 12 Apr, 2019
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numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__isub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__isub__() method. Value will be subtracted to each and every element in a numpy array.

Syntax: numpy.MaskedArray.__isub__(other)

Return: Subtract other to self in-place.

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.__isub__(). 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, 4.7, 5.2]) 
  
# applying MaskedArray.__isub__() method 
print(gfg.__isub__(5)) 


Output:

[-4.  -3.  -2.  -0.3  0.2]

 
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.__isub__() method 
print(gfg.__isub__(5)) 


Output:

[[-4 -3 -2 -1  0]
 [ 1  0 -1 -2 -3]]

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