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https://issues.apache.org/jira/browse/BEAM-10720?focusedWorklogId=497493&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-497493
]
ASF GitHub Bot logged work on BEAM-10720:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 08/Oct/20 18:26
Start Date: 08/Oct/20 18:26
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#12705:
URL: https://github.com/apache/beam/pull/12705#discussion_r501926434
##########
File path: sdks/python/apache_beam/dataframe/transforms_test.py
##########
@@ -266,6 +266,17 @@ def check(actual):
lambda x: {'res': 3 * x}, proxy)
assert_that(res['res'], equal_to_series(three_series), 'CheckDictOut')
+ def test_cat(self):
+ # verify that cat works with a List[Series] sicne this is missing from
doctests
+ df = pd.DataFrame({
+ 'one': ['A', 'B', 'C'],
+ 'two': ['BB', 'CC', 'A'],
+ 'three': ['CCC', 'AA', 'B'],
+ })
+ self.run_scenario(df, lambda df: df.two.str.cat([df.three], join='outer'))
+ self.run_scenario(
+ df, lambda df: df.one.str.cat([df.two, df.three], join='outer'))
+
Review comment:
Thank you!
In order to avoid refactoring the elementwise methods I made
DeferredStringMethods store two expressions, one that accesses Series.str, and
one for the underlying Series. This seems to get things passing, but I'm not
100% sure this is safe. I'll look at extending `elementwise_method` for this
use-case instead.
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Issue Time Tracking
-------------------
Worklog Id: (was: 497493)
Time Spent: 7h 20m (was: 7h 10m)
> Implement pandas StringMethods
> ------------------------------
>
> Key: BEAM-10720
> URL: https://issues.apache.org/jira/browse/BEAM-10720
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Priority: P2
> Time Spent: 7h 20m
> Remaining Estimate: 0h
>
> We need to add stubs for pd.Series.str:
> https://pandas.pydata.org/pandas-docs/version/0.25/reference/series.html#string-handling
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