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https://issues.apache.org/jira/browse/BEAM-12560?focusedWorklogId=691303&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-691303
]
ASF GitHub Bot logged work on BEAM-12560:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 06/Dec/21 19:16
Start Date: 06/Dec/21 19:16
Worklog Time Spent: 10m
Work Description: roger-mike commented on a change in pull request #15827:
URL: https://github.com/apache/beam/pull/15827#discussion_r763307180
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -1277,6 +1277,74 @@ def align(self, other, join, axis, level, method,
**kwargs):
requires_partition_by=partitionings.Arbitrary(),
preserves_partition_by=partitionings.Singleton())
+ @frame_base.with_docs_from(pd.Series)
+ @frame_base.args_to_kwargs(pd.Series)
+ @frame_base.populate_defaults(pd.Series)
+ def idxmin(self, **kwargs):
+ def compute_idxmin(s):
+ min_index = s.idxmin(**kwargs)
+ if pd.isna(min_index):
+ return s
+ else:
+ return s.loc[[min_index]]
+
+ # Avoids empty Series error when evaluating proxy
+ index_dtype = self._expr.proxy().index.dtype
+ index = pd.Index([], dtype=index_dtype)
+ proxy = self._expr.proxy().copy()
+ proxy.index = index
+ proxy = proxy.append(
+ pd.Series([np.inf], index=np.asarray(['0']).astype(proxy.index.dtype)))
+
+ idx_min = expressions.ComputedExpression(
+ 'idx_min',
+ compute_idxmin, [self._expr],
+ proxy=proxy,
+ requires_partition_by=partitionings.Index(),
+ preserves_partition_by=partitionings.Singleton())
Review comment:
Done, you will notice I didn't change the required partition to
arbitrary in the Series because I was getting an wrong answer in a test in
`pandas_doctests_test`, So I let it as `Index`.
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Issue Time Tracking
-------------------
Worklog Id: (was: 691303)
Time Spent: 7h 20m (was: 7h 10m)
> 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: 7h 20m
> 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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