Python | Numpy MaskedArray.__abs__
Last Updated :
27 Mar, 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.__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 the important module in python
import numpy as np
# make an array with numpy
gfg = np.array([1.45, 2.32, 3.98, 4.41, 5.55, 6.12])
# applying MaskedArray.____() method
print(np.ma.MaskedArray.__abs__(gfg))
Output:
Example #2:
[ 1 2 3 4 5 6]
# import the important module in python
import numpy as np
# make an array with numpy
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]])
# applying MaskedArray.__abs__() method
print(np.ma.MaskedArray.__abs__(gfg))
Output:
[[ 1 2 3 4 5 6 ] [ 6 5 4 3 2 1]]
