Web Reference: Jul 26, 2025 · In this article you'll learn how to use Pandas' groupby () and aggregation functions step by step with clear explanations and practical examples. Aggregation means applying a mathematical function to summarize data. See the user guide for more detailed usage and examples, including splitting an object into groups, iterating through groups, selecting a group, aggregation, and more. The pandas .groupby() method allows you to efficiently analyze and transform datasets when working with data in Python. With df.groupby(), you can split a DataFrame into groups based on column values, apply functions to each group, and combine the results into a new DataFrame.
YouTube Excerpt: In this video we go over how to
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