[
https://issues.apache.org/jira/browse/BEAM-11777?focusedWorklogId=579660&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-579660
]
ASF GitHub Bot logged work on BEAM-11777:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Apr/21 00:25
Start Date: 09/Apr/21 00:25
Worklog Time Spent: 10m
Work Description: TheNeuralBit opened a new pull request #14487:
URL: https://github.com/apache/beam/pull/14487
The current implementation of `groupby(level=)` doesn't properly handle
arguments other than 0. This PR fixes that logic and adds test cases for other
values of `level`.
Post-Commit Tests Status (on master branch)
------------------------------------------------------------------------------------------------
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<th>Lang</th>
<th>SDK</th>
<th>ULR</th>
<th>Dataflow</th>
<th>Flink</th>
<th>Samza</th>
<th>Spark</th>
<th>Twister2</th>
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<td>XLang</td>
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<td>---</td>
</tr>
</tbody>
</table>
Pre-Commit Tests Status (on master branch)
------------------------------------------------------------------------------------------------
<table>
<thead>
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<th>---</th>
<th>Java</th>
<th>Python</th>
<th>Go</th>
<th>Website</th>
<th>Whitespace</th>
<th>Typescript</th>
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<td>---</td>
<td>---</td>
<td>---</td>
</tr>
</tbody>
</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 579660)
Time Spent: 6h 40m (was: 6.5h)
> Support correct kwargs in aggregation methods on DataFrame, Series
> ------------------------------------------------------------------
>
> Key: BEAM-11777
> URL: https://issues.apache.org/jira/browse/BEAM-11777
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Priority: P2
> Labels: dataframe-api
> Time Spent: 6h 40m
> Remaining Estimate: 0h
>
> {DataFrame,Series}.{all, any, max, min, prod, mean, median, sum} are all
> implemented via frame_base._agg_method, which just re-uses
> {DataFrame,Series}.agg}. However the pandas operations have some different
> kwargs that are not supported by agg. Some are universal (level=, skip_na=),
> others are unique to each operation (numeric_only= or bool_only=).
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