Python | Numpy MaskedArray.__eq__
Last Updated :
27 Mar, 2019
numpy.ma.MaskedArray class
is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__eq__ operator we can find that which element in an array is equal to the value which is provided in the parameter.
Syntax: numpy.MaskedArray.__eq__
Return: self==value
Example #1 :
In this example we can see that after applying MaskedArray.__eq__(), we get the simple boolean array that can tell us which element in an array is equal that of provided parameter.
import numpy as np
gfg = np.ma.array([ 1 , 2 , 3 , 4 , 5 , 6 ])
print (gfg.__eq__( 4 ))
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Output:
[False False False True False False]
Example #2:
import numpy as np
gfg = np.ma.array([[ 1 , 2 , 3 , 4 , 5 , 6 ],
[ 6 , 5 , 4 , 3 , 2 , 1 ]])
print (gfg.__eq__( 4 ))
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Output:
[[False False False True False False]
[False False True False False False]]
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