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fix: dask group by with kwargs #1676
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def var( | ||
ddof: int = 1, | ||
) -> Callable[ | ||
[pd.core.groupby.generic.SeriesGroupBy], pd.core.groupby.generic.SeriesGroupBy |
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I need to double check the return type
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import dask_expr as dx | ||
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return partial(dx._groupby.GroupBy.var, ddof=ddof) |
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The minimum version we support for dask is "dask[dataframe]==2024.7"
, which installs dask-expr==1.1.8
, and dx._groupby.GroupBy
is already available.
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@phofl is there a public variant of this?
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awesome, thanks a lot @FBruzzesi !
if we can use a public variant for dask expr's groupby, then that'd probably be better, else i think this is ok (we test against their nightlies anyway)
Thanks for reviewing @MarcoGorelli π
It's definitly not exposed in dask-expr. As mentioned in the discourse thread we could use |
Just caught up with Patrick from Dask, and he's said that they plan to merge dask-expr into dask and then they'll expose some public apis, and that we can merge as-is for now |
What type of PR is this? (check all applicable)
Related issues
group_by
context ignores expr argumentsΒ #1606 by implementing var/std with custom ddof for dask as explained in the dask discourse threadChecklist
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