python - Dask rolling function by group syntax

Question

I struggled for a while with the syntax to work for calculating a rolling function by group for a dask dataframe. The documentation is excellent, but in this case does not have an example.

The working version I have is as follows, from a csv that contains a text field with User ids and and x, y, and z column:

ddf = read_csv('./*.csv')
ddf.groupby(ddf.User).x.apply(lambda x: x.rolling(5).mean(), meta=('x', 'f8')).compute()

Is this the recommended syntax for rolling functions applied by group within dask DataFrames, or is there a recommended alternative?

Answer 1

In order to retain the groups in the result:

ddf.groupby(by=User).apply(lambda df_g: df_g['x'].rolling(5).mean(), meta=('x', 'f8')).compute()