Aggregating elements in lists

Aggregations are a way to summarize data. Whether your list is populated by numeric values or strings, you can aggregate elements in the list in Python Polars.

In this recipe, we’ll cover how to aggregate elements in lists using common aggregations such as min and max, as well as how to turn a list of strings into a string.

How to do it...

Here are ways to aggregate data in lists:

1. Let’s create a DataFrame with columns of the list data type, where we have YouTube video statistics per trending date:

   agg_df = (
       df
       .group_by('trending_date')
       .agg(
           'views',
           'likes',
           'dislikes',
           'comment_count'
       )...