Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
783 B
783 B
Groupby & Aggregation
groupby() splits a DataFrame into groups based on one or more columns, applies a function to each group, and combines the results. Common aggregation functions include sum(), mean(), count(), min(), max(), and custom functions via agg(). This split-apply-combine pattern is one of the most powerful features of Pandas.
Visit the following resources to learn more: