[jira] [Assigned] (BEAM-12495) DataFrame API: groupby(dropna=False) still drops NAs when grouping on multiple columns or indexes

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beam JIRA Bot reassigned BEAM-12495:
------------------------------------

    Assignee:     (was: Brian Hulette)

> DataFrame API: groupby(dropna=False) still drops NAs when grouping on multiple columns or indexes
> -------------------------------------------------------------------------------------------------
>
>                 Key: BEAM-12495
>                 URL: https://issues.apache.org/jira/browse/BEAM-12495
>             Project: Beam
>          Issue Type: Bug
>          Components: dsl-dataframe, sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api, stale-assigned
>          Time Spent: 2h 10m
>  Remaining Estimate: 0h
>
> {code}
> df.groupby(['foo', 'bar'], dropna=False).sum()
> {code}
> This will still drop NAs in the output.
> This is due to pandas bug [36470|https://github.com/pandas-dev/pandas/issues/36470] "BUG: groupby(..., dropna=False) excludes NA values when grouping on MultiIndex levels".
> We implement groupby by moving all grouped data into the index and requiring Index() partitioning, so we will always run into this issue, even when the user is grouping on columns, not indexes.



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