# mean() Function of statistics Module in Python (Example)

In this Python programming tutorial youâ€™ll learn how to apply the statistics.mean function.

The post looks as follows:

Letâ€™s start right away!

## Creation of Example Data

First, letâ€™s create some example data.

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

The previous output of the Python console shows the structure of our example data: We have constructed a list object containing nine integer values.

## Example: Apply mean() Function of statistics Module to List

The Python programming code below illustrates how to apply the mean function of the statistics module to get the average of a list of values.

If we want to use the functions of the statistics library, we also have to load statistics:

`import statistics           # Import statistics`

In the next step, we can apply the mean function of the statistics module to return the arithmetic mean of our data:

```print(statistics.mean(my_list))          # Apply statistics.mean function
# 4.888888888888889```

As you can see, the mean of our data is 4.889.

## Video, Further Resources & Summary

Do you need further explanations on the Python code of this article? Then you might have a look at the following video on my YouTube channel. In the video, I show the Python programming codes of this tutorial:

Besides the video, you may read the related posts that I have published on this website:

In this tutorial, I have illustrated how to use the statistics.mean function to compute and find the arithmetic mean in Python. If you have further questions, donâ€™t hesitate to let me know in the comments.

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