# NumPy ndarray.__abs__() | Find Absolute Value of Elements in NumPy Array

Last Updated : 05 Feb, 2024

The ndarray.__abs__() method returns the absolute value of every element in the NumPy array.

It is automatically invoked when we use Python’s built-in method abs() on a NumPy array.

## Python3

 `import` `numpy as np ` `gfg ``=` `np.array([``1.45``, ``2.32``, ``3.98``, ``4.41``, ``5.55``, ``6.12``]) ` `print``(gfg.__abs__())`

Output

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

## Syntax

Syntax: ndarray.__abs__()

Return: Returns an array with absolute values.

## How to find Absolute Values of the NumPy Array

To find absolute values of the elements of NumPy array we use ndarray.__abs__() method of the NumPy library in Python.

Let’s understand it better with an example:

## Python3

 `# 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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