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.
# 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)) |
Output:
[ 4 8 12 16 20]
Â
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.__ilshift__() method print(gfg.__ilshift__(1)) |
Output:
[[ 2 4 6 8 10] [12 10 8 6 4]]
