Web Reference: Jul 11, 2025 · Pandas groupby() function is a powerful tool used to split a DataFrame into groups based on one or more columns, allowing for efficient data analysis and aggregation. A groupby operation involves some combination of splitting the object, applying a function, and combining the results. This can be used to group large amounts of data and compute operations on these groups. Parameters: bymapping, function, label, pd.Grouper or list of such Used to determine the groups for the groupby. In this tutorial, you'll learn how to work adeptly with the pandas GroupBy facility while mastering ways to manipulate, transform, and summarize data. You'll work with real-world datasets and chain GroupBy methods together to get data in an output that suits your purpose.
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