[jira] [Updated] (BEAM-12560) Implement idxmin and idxmax for DataFrame, Series, and GroupBy

["Mike Hernandez (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mike Hernandez updated BEAM-12560:
----------------------------------
    Resolution: Fixed
        Status: Resolved  (was: Open)

> Implement idxmin and idxmax for DataFrame, Series, and GroupBy
> --------------------------------------------------------------
>
>                 Key: BEAM-12560
>                 URL: https://issues.apache.org/jira/browse/BEAM-12560
>             Project: Beam
>          Issue Type: Improvement
>          Components: dsl-dataframe
>            Reporter: Brian Hulette
>            Assignee: Mike Hernandez
>            Priority: P3
>          Time Spent: 9h
>  Remaining Estimate: 0h
>
> Add an implementation of [idxmin|https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.idxmin.html] and [idxmax|https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.idxmax.html] for DeferredDataFrame, DeferredSeries, and DeferredGroupBy. It should be fully unit tested with some combination of pandas_doctests_test.py and frames_test.py.
> https://github.com/apache/beam/pull/14274 is an example of a typical PR that adds new operations. See https://lists.apache.org/thread.html/r8ffe96d756054610dfdb4e849ffc6a741e826d15ba7e5bdeee1b4266%40%3Cdev.beam.apache.org%3E for background on the DataFrame API.



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