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• 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.

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:

```[ 1  2  3  4  5  6]
```

Example #2:

 `# 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]]
```

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