Custom aggregations on GroupBy dataframes

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
stream-processing

Research direction

Start at the GroupBy dataframe API and compare it with the referenced streamz DataFrame aggregations documentation. Determine how a custom aggregation such as Mean() should work with grouping keys, then identify the relevant implementation and tests needed to define and verify the expected behavior.

Written by the indexing model from the issue text.

Description

Hello,

I just started using your package and I find it really great!

However I cannot find a direct way of computing a custom aggregation on a GroupBy dataframe, something like:

sdf.groupby('name').aggregate(Mean())

in the spirit of https://streamz.readthedocs.io/en/latest/dataframes.html#dataframe-aggregations
Am I missing something?

Of course I can do the groupby operation inside the aggregation and keep all the keys inside the state but it would be very convenient if the framework could handle this for me

Thanks

Dominant language
Python
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