# numpy.sqrt() in Python

`numpy.sqrt(array[, out])` function is used to determine the positive square-root of an array, element-wise.

Syntax: numpy.sqrt()

Parameters:
array : [array_like] Input values whose square-roots have to be determined.
out : [ndarray, optional] Alternate array object in which to put the result; if provided, it must have the same shape as arr.

Returns : [ndarray] Returns the square root of the number in an array.

Code #1 :

 `# Python program explaining ` `# numpy.sqrt() method  ` ` `  `# importing numpy ` `import` `numpy as geek  ` ` `  `# applying sqrt() method on integer numbers  ` `arr1 ``=` `geek.sqrt([``1``, ``4``, ``9``, ``16``]) ` `arr2 ``=` `geek.sqrt([``6``, ``10``, ``18``]) ` ` `  `print``(``"square-root of an array1  : "``, arr1) ` `print``(``"square-root of an array2  : "``, arr2) `

Output:

```square-root of an array1  :  [ 1.  2.  3.  4.]
square-root of an array2  :  [ 2.44948974  3.16227766  4.24264069]
```

Code #2 :

 `# Python program explaining ` `# numpy.sqrt() method  ` ` `  `# importing numpy ` `import` `numpy as geek  ` ` `  `# applying sqrt() method on complex numbers ` `arr ``=` `geek.sqrt([``4``, ``-``1``, ``-``5` `+` `9J``]) ` ` `  `print``(``"square-root of an array  : "``, arr) `

Output:

```square-root of an array  :  [ 2.00000000+0.j  0.00000000+1.j  1.62721083+2.76546833j]
```

Code #3 :

 `# Python program explaining ` `# numpy.sqrt() method  ` ` `  `# importing numpy ` `import` `numpy as geek  ` ` `  `# applying sqrt() method on negative element of real numbers  ` `arr ``=` `geek.sqrt([``-``4``, ``5``, ``-``6``]) ` ` `  `print``(``"square-root of an array  : "``, arr) `

Output:

```RuntimeWarning: invalid value encountered in sqrt
square-root of an array  :  [ nan  2.23606798  nan]
```

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.