# median Function of statistics Module in Python (Example)

In this article, I’ll illustrate how to apply the statistics.median function in Python programming.

Let’s do this…

## Example Data

The first step is to create some example data:

```my_list = [4, 3, 8, 2, 7, 3, 8, 4, 7, 1, 5] # Create example list print(my_list) # Print example list # [4, 3, 8, 2, 7, 3, 8, 4, 7, 1, 5]```

The previous output of the Python console visualizes the structure of our example data – We have created a list object containing 11 integer values.

## Example: Get Median Using median() Function of statistics Module

In this example, I’ll show how to get the median of a list using the median function of the statistics module.

We first have to load the statistics module:

`import statistics # Import statistics`

Next, we can apply the statistics.median function to return the median of our list:

```print(statistics.median(my_list)) # Apply median() function # 4```

As you can see, the median of our list is equal to 4.

Note that we have calculated the middle value of a data set using the standard median function of the statistics module.

However, the statistics module also provides alternative mode functions such as median_low() to get the low median, median_high() to find the high median, and median_grouped() to compute the 50th percentile of grouped data. More info can be found here.

## Video & Further Resources

Have a look at the following video on my YouTube channel. In the video, I show how to get the middle value of data using the Python codes of this tutorial:

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In addition, you might read the related tutorials on statisticsglobe.com. You can find some tutorials below:

This tutorial has shown how to apply the statistics.median function to calculate the median of a list in Python programming. If you have any additional comments and/or questions, please let me know in the comments section.

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