The Numpy library in Python comes with a number of built-in functions to perform common mathematical operations on arrays. In this tutorial, we will look at one such function that helps us get the element-wise square root of a Numpy array with the help of some examples.

## How to get the square root in Numpy?

You can use the `numpy.sqrt()`

function to get the square root of each element in a Numpy array. Pass the array as an argument.

The following is the syntax –

numpy.sqrt(ar)

It returns an array containing the square root value of each element in the passed array.

Let’s now look at a step-by-step example of using the `numpy.sqrt()`

function.

### Step 1 – Create a Numpy array

First, we will create a Numpy array that we will use throughout this tutorial.

import numpy as np # create numpy array ar = np.array([1, 0, 4, 9]) # display the array print(ar)

Output:

[1 0 4 9]

Here, we used the `numpy.array()`

function to create a Numpy array containing some numbers.

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### Step 2 – Get the square root using `numpy.sqrt()`

To get the square root of each element in a Numpy array, pass the array as an argument to the `numpy.sqrt()`

function.

Let’s get the square root for the array created above.

# get the square root of each element np.sqrt(ar)

Output:

array([1., 0., 2., 3.])

We get a Numpy array with the square root value of each element in the array `ar`

.

The `numpy.sqrt()`

function works similarly on higher-dimensional arrays. For example, let’s apply this function to a 2D array of some numbers.

# create 2D numpy array ar = np.array([[4, 9, 4], [0, 16, 0], [1, 25, 4]]) # get the square root of each element np.sqrt(ar)

Output:

array([[2., 3., 2.], [0., 4., 0.], [1., 5., 2.]])

You can see that we get the square root value of each element in the 2D array.

For more on the `numpy.sqrt()`

function, refer to its documentation.

You might also be interested in –

- Numpy – Get the Sign of Each Element in Array
- Get the Median of Numpy Array – (With Examples)
- Numpy – Get Standard Deviation of Array Values
- Numpy – Get Min Value in Array

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