Python | Numpy MaskedArray.__rlshift__
numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rlshift__ method we can get the elements that is right shifted by the value that is provided as a parameter.
Syntax: numpy.MaskedArray.__rlshift__
Return: Return value<<self.
Example #1 :
In this example we can see that every element is right shifted by the value that is passed 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.__rlshift__() method print(gfg.__rlshift__(2)) |
chevron_right
filter_none
Output:
[ 4 8 16 32 64]
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.__rlshift__() method print(gfg.__rlshift__(1)) |
chevron_right
filter_none
Output:
[[ 2 4 8 16 32] [64 32 16 8 4]]
Recommended Posts:
- Python | Numpy numpy.ndarray.__invert__()
- Python | Numpy numpy.ndarray.__xor__()
- Python | Numpy numpy.ndarray.__and__()
- Python | Numpy numpy.ndarray.__mod__()
- Python | Numpy numpy.ndarray.__or__()
- Python | Numpy numpy.ndarray.__iadd__()
- Python | Numpy numpy.ndarray.__add__()
- Python | Numpy numpy.ndarray.__sub__()
- Python | Numpy numpy.ndarray.__gt__()
- Python | Numpy numpy.ndarray.__imul__()
- Python | Numpy numpy.ndarray.__isub__()
- Python | Numpy numpy.ndarray.__rshift__()
- Python | Numpy numpy.ndarray.__floordiv__()
- Python | Numpy numpy.ndarray.__pow__()
- Python | Numpy numpy.ndarray.__divmod__()
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.
