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https://issues.apache.org/jira/browse/BEAM-13605?focusedWorklogId=719113&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-719113
]
ASF GitHub Bot logged work on BEAM-13605:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Feb/22 00:45
Start Date: 02/Feb/22 00:45
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#16590:
URL: https://github.com/apache/beam/pull/16590#discussion_r797186975
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -4120,6 +4127,23 @@ def dtypes(self):
grouping_columns = self._grouping_columns
return self.apply(lambda df: df.drop(grouping_columns, axis=1).dtypes)
+ if hasattr(DataFrameGroupBy, 'value_counts'):
+ @frame_base.with_docs_from(DataFrameGroupBy)
+ def value_counts(self, subset=None, sort=False, normalize=False,
+ ascending=False, dropna=True):
+ return frame_base.DeferredFrame.wrap(
+ expressions.ComputedExpression(
+ 'value_counts',
+ lambda df: df.value_counts(
+ subset=subset,
+ sort=sort,
+ normalize=normalize,
+ ascending=ascending,
+ dropna=True), [self._expr],
+ preserves_partition_by=partitionings.Arbitrary(),
+ requires_partition_by=partitionings.Arbitrary())
+ )
Review comment:
Thanks for trying this out and for the detailed write up! I think it
makes sense to just stick with your current solution. Let's not bother adding
`self._parent` until we need it.
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Issue Time Tracking
-------------------
Worklog Id: (was: 719113)
Time Spent: 4h 10m (was: 4h)
> Support pandas 1.4.0 in the DataFrame API
> -----------------------------------------
>
> Key: BEAM-13605
> URL: https://issues.apache.org/jira/browse/BEAM-13605
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Assignee: Andy Ye
> Priority: P2
> Time Spent: 4h 10m
> Remaining Estimate: 0h
>
> 1.4.0rc1 is out now, we should verify it works with the DataFrame API, then
> increase the version range to allow it.
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