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https://issues.apache.org/jira/browse/BEAM-12593?focusedWorklogId=623825&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-623825
]
ASF GitHub Bot logged work on BEAM-12593:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Jul/21 19:28
Start Date: 16/Jul/21 19:28
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on a change in pull request
#15165:
URL: https://github.com/apache/beam/pull/15165#discussion_r671480585
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -3403,10 +3406,16 @@ def value_counts(self, subset=None, sort=False,
normalize=False,
"ordering on the dataset which likely will not be preserved.",
reason="order-sensitive")
columns = subset or list(self.columns)
- result = self.groupby(columns).size()
+
+ if dropna:
+ dropped = self.dropna()
+ else:
+ dropped = self
+
+ result = dropped.groupby(columns, dropna=dropna).size()
if normalize:
- return result/self.dropna().length()
+ return result/dropped.length()
Review comment:
Yes, the pandas value_counts it defined for both dropna=False and True.
I added a combinatorial test for dropna and normalize to verify this
implementation and the pandas implementation.
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Issue Time Tracking
-------------------
Worklog Id: (was: 623825)
Time Spent: 2h (was: 1h 50m)
> DataFrame API: Support pandas 1.3.x
> -----------------------------------
>
> Key: BEAM-12593
> URL: https://issues.apache.org/jira/browse/BEAM-12593
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Priority: P2
> Time Spent: 2h
> Remaining Estimate: 0h
>
> Started a WIP PR here: https://github.com/apache/beam/pull/15008 that used
> rc1. Now the official 1.3.0 is out.
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