Enhancing the groupby Function
Explore how to use the groupby function in Pandas more effectively by applying named aggregations, sorting aggregated results, and grouping by multiple columns. Understand techniques to generate descriptive aggregated outputs and manage group indices for clearer data analysis.
We'll cover the following...
We'll cover the following...
Named aggregations
In the previous lesson, we selected the product_group and price columns before applying the groupby and mean functions so that the output only shows the product groups and average prices. We do not have to select the columns beforehand if we use named aggregations. We can simply specify the name of the column and the type of aggregate function. Another advantage of using named aggregations is that we can assign a more descriptive name to ...