Python | Numpy numpy.ndarray.__and__()
With the help of Numpy numpy.ndarray.__and__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__and__() method.
Syntax: ndarray.__and__($self, value, /)
Return: self&value
Example #1 :
In this example we can see that every element is anded by the value that is passed as a parameter in ndarray.__and__() method.
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5]) # applying ndarray.__and__() method print(gfg.__and__(2)) |
chevron_right
filter_none
Output:
[0 2 2 0 0]
Example #2 :
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5], [6, 5, 4, 3, 2]]) # applying ndarray.__and__() method print(gfg.__and__(1)) |
chevron_right
filter_none
Output:
[[1 0 1 0 1] [0 1 0 1 0]]
Recommended Posts:
- Python | Numpy numpy.ndarray.__ne__()
- Python | Numpy numpy.ndarray.__neg__()
- Python | Numpy numpy.ndarray.__pos__()
- Python | Numpy numpy.ndarray.__xor__()
- Python | Numpy numpy.ndarray.__iadd__()
- Python | Numpy numpy.ndarray.__gt__()
- Python | Numpy numpy.ndarray.__le__()
- Python | Numpy numpy.ndarray.__ge__()
- Python | Numpy numpy.ndarray.__eq__()
- Python | Numpy numpy.ndarray.__or__()
- Python | Numpy numpy.ndarray.__isub__()
- Python | Numpy numpy.ndarray.__mod__()
- Python | Numpy numpy.ndarray.__mul__()
- Python | Numpy numpy.ndarray.__sub__()
- Python | Numpy numpy.ndarray.__floordiv__()
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.



