Python | Numpy MaskedArray.__gt__

Python | Numpy MaskedArray.lshift

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.__lshift__ method we can get the elements that is left shifted by the value that is provided as a parameter.

Syntax: numpy.MaskedArray.__lshift__ Return: Return self<<value.

Example #1 : In this example we can see that every element is left shifted by the value that is passed as a parameter.

Python3 1==

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

Output:

[ 4  8 12 16 20]

Example #2:

Python3 1==

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

Output:

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

Python | Numpy MaskedArray.__gt__

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