How can I perform aggregation on a Dask DataFrame?

How can I perform aggregation on a Dask DataFrame?

You can use the groupby method followed by an aggregation function like sum, mean, or count. For example, df.groupby('column_name').sum().

Can I apply multiple aggregation functions at once?

Yes, you can use the agg method to apply multiple functions. For example: df.groupby('column_name').agg(['sum', 'mean']).

What if I want to aggregate on multiple columns?

You can specify multiple columns in the groupby method like this: df.groupby(['col1', 'col2']).sum().

Is there a way to reset the index after aggregation?

Yes, you can use the reset_index() method after your aggregation, like this: df.groupby('column_name').sum().reset_index().