Related Articles
numpy.sqrt() in Python
• Last Updated : 27 Sep, 2019

`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. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up