How do I use the aggregate function in Pandas?

How do I use the aggregate function in Pandas?

The aggregate function in Pandas allows you to apply one or more functions to your data. You can use it with DataFrames to summarize data.

Can you give me an example of how to use it?

Sure! If you have a DataFrame df, you can use df.agg({'column_name': 'function'}) to apply a function like 'mean' or 'sum'.

What if I want to apply multiple functions at once?

You can pass a list of functions to the agg method. For example, df.agg({'column_name': ['mean', 'sum']}) will give you both the mean and sum.

Is it possible to apply different functions to different columns?

Yes, you can specify a dictionary where the keys are column names and the values are lists of functions. For example: df.agg({'col1': ['mean'], 'col2': ['sum', 'max']}).