Python | Numpy MaskedArray.__and__
Last Updated :
08 Apr, 2019
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numpy.ma.MaskedArray class
is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__and__ method we can get the elements that is anded by the value that is provided as a parameter.
Syntax: numpy.MaskedArray.__and__ Return: 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.
# 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.__and__() method
print(gfg.__and__(2))
Output:
Example #2:
[0 2 2 0 0]
# 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.__and__() method
print(gfg.__and__(1))
Output:
[[1 0 1 0 1] [0 1 0 1 0]]