What are some advanced techniques for using groupby in Pandas?

What are some advanced techniques for using groupby in Pandas?

You can use advanced techniques like aggregating with custom functions, applying multiple functions, and using groupby with pivot tables.

Can you give me an example of using a custom aggregation function?

Sure! You can define a custom function, like calculating the range, and use it with groupby like this: df.groupby('column').agg(lambda x: x.max() - x.min()).

How can I apply multiple aggregation functions at once?

You can pass a list of functions to the agg() method. For example: df.groupby('column').agg(['mean', 'sum', 'count']).

What about using groupby with pivot tables?

You can combine groupby with pivot tables by first grouping your data and then using pivot_table() to reshape it for better analysis.