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The pandas "groupby" method allows you to split a DataFrame into groups, apply a function to each group independently, and then combine the results back together. This is called the "split-apply-combine" pattern, and is a powerful tool for analyzing data across different categories. In this video, I'll explain when you should use a groupby and then demonstrate its flexibility using four different examples.
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== RESOURCES ==
GitHub repository for the series: github.com/jus...
"groupby" documentation: pandas.pydata.o...
"agg" documentation: pandas.pydata.o...
"plot" documentation: pandas.pydata.o...
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