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Python | Numpy MaskedArray.__ilshift__()
  • Last Updated : 29 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.__ilshift__we can get the elements that is left shifted by the value that is provided as a parameter in the MaskedArray.__ilshift__() method.

Syntax: numpy.MaskedArray.__ilshift__(other)

Return: Return self <<= value.

Example #1 :
In this example we can see that every element is right shifted by the value that is passed as a parameter in MaskedArray.__ilshift__() method.

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# 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.__ilshift__() method 
print(gfg.__ilshift__(2)) 

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Output:



[ 4  8 12 16 20]

 
Example #2:

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# 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.__ilshift__() method 
print(gfg.__ilshift__(1)) 

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Output:

[[ 2  4  6  8 10]
 [12 10  8  6  4]]

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