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Posted to issues@spark.apache.org by "Kanthi Subramanian (Jira)" <ji...@apache.org> on 2022/01/03 16:56:00 UTC
[jira] [Commented] (SPARK-37723) Support tuple for non-MultiIndex column name.
[ https://issues.apache.org/jira/browse/SPARK-37723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17468096#comment-17468096 ]
Kanthi Subramanian commented on SPARK-37723:
--------------------------------------------
Hi [~itholic] , is someone working on this, I can take on this, some direction would be extremely helpful. Thanks.
> Support tuple for non-MultiIndex column name.
> ---------------------------------------------
>
> Key: SPARK-37723
> URL: https://issues.apache.org/jira/browse/SPARK-37723
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Haejoon Lee
> Priority: Major
>
> pandas API on Spark doesn't support tuple as column name for non-MultiIndex column.
> {code:java}
> >>> psdf = ps.DataFrame({"A": [1, 2, 3]})
> >>> psdf
> A
> 0 1
> 1 2
> 2 3
> >>> psdf[('a', 'b')] = [4, 5, 6]
> Traceback (most recent call last):
> ...
> KeyError: 'Key length (2) exceeds index depth (1)'
> {code}
> As pandas support this, we should follow the behavior.
> {code:java}
> >>> pdf = pd.DataFrame({"A": [1, 2, 3]})
> >>> pdf[('a', 'b')] = [4, 5, 6]
> >>> pdf
> A (a, b)
> 0 1 4
> 1 2 5
> 2 3 6{code}
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