# Python | Numpy ndarray.__abs__()

With the help of `Numpy ndarray.__abs__()`, one can find the absolute value of each and every element in an array. Suppose we have a values 1.34, with the help of `ndarray.__abs__()` it will converted into 1.

Syntax: ndarray.__abs__(self)

Return: floor(self)

Example #1 :
In this example we can see that after applying `ndarray.__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 ndarray.____() method ` `print``(gfg.__abs__()) `

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 ndarray.__abs__() method ` `print``(gfg.__abs__()) `

Output:

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

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