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https://issues.apache.org/jira/browse/SPARK-42194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-42194:
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Component/s: Pandas API on Spark
(was: ps)
> Allow `columns` parameter when creating DataFrame with Series.
> --------------------------------------------------------------
>
> Key: SPARK-42194
> URL: https://issues.apache.org/jira/browse/SPARK-42194
> Project: Spark
> Issue Type: Sub-task
> Components: Pandas API on Spark
> Affects Versions: 3.5.0
> Reporter: Haejoon Lee
> Assignee: Haejoon Lee
> Priority: Major
> Fix For: 3.4.1
>
>
> pandas API on Spark doesn't allow creating DataFrame with Series by
> specifying the `columns` parameter as below:
> {code:java}
> >>> ps.DataFrame(psser, columns=["labels"])
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File ".../spark/python/pyspark/pandas/frame.py", line 539, in __init__
> assert columns is None
> AssertionError {code}
> We should make it available.
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