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Python | Numpy MaskedArray.__pow__

  • Last Updated : 08 Apr, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__pow__ method we can get the elements powered with the value that is provided as a parameter.

Syntax: numpy.MaskedArray.__pow__

Return: Raise self to the power other, masking the potential NaNs.

Example #1 :
In this example we can see that after applying MaskedArray.__pow__(), we can see that every element get powered with the value that is provided as a parameter.




   
# 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.__pow__() method 
print(gfg.__pow__(3)) 
Output:
[  1   8  27  64 125]

 
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.__pow__() method 
print(gfg.__pow__(2)) 
Output:
[[ 1  4  9 16 25]
 [36 25 16  9  4]]

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