 # Python | Numpy ndarray .__ abs __ ()

` Numpy ndarray .__ abs __ () ` can be used to find the absolute value of each element in the array. Assuming we have 1.34 values, ` ndarray .__ abs __ () ` will convert it to 1 .

Syntax: ndarray .__ abs __ (self)

Return: floor (self)

Example # 1:
In this example, we see that after applying ` ndarray .__ abs __ () ` we get a simple array that can contain the absolute values ​​of all elements of the array .

 ` # import an important module into 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 the ndarray .____ () method ` ` print ` ` (gfg .__ abs __ ()) `

Exit :

` [1 2 3 4 5 6] `

Example # 2:

 ` # import important module in python ` ` import ` ` numpy as np `   ` # make an array with N umPy ` ` 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 the ndarray method .__ abs __ () print (gfg .__ abs __ ()) ```

Exit:

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

```