Python | Numpy MaskedArray.__abs__
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.__abs__ operator we can find the absolute value of each and every element in an array. Suppose we have a values 31.74, with the help of MaskedArray.__abs__() it will be converted into 31.
Syntax: numpy.MaskedArray.__abs__
Return: floor(self)
Example #1 :
In this example we can see that after applying MaskedArray.__abs__(), we get the simple array that can contain the absolute values of all the elements of an array.
import numpy as np
gfg = np.array([ 1.45 , 2.32 , 3.98 , 4.41 , 5.55 , 6.12 ])
print (np.ma.MaskedArray.__abs__(gfg))
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Example #2:
import numpy as np
gfg = np.array([[ 1.22 , 2.25 , - 3.21 , 4.45 , 5.56 , 6 ],
[ - 6.65 , 5.55 , 4.32 , 3.33 , 2.12 , - 1.05 ]])
print (np.ma.MaskedArray.__abs__(gfg))
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Output:
[[ 1 2 3 4 5 6 ]
[ 6 5 4 3 2 1]]
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