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https://issues.apache.org/jira/browse/SPARK-37668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17462452#comment-17462452
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Apache Spark commented on SPARK-37668:
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User 'itholic' has created a pull request for this issue:
https://github.com/apache/spark/pull/34957
> 'Index' object has no attribute 'levels' in
> pyspark.pandas.frame.DataFrame.insert
> ----------------------------------------------------------------------------------
>
> Key: SPARK-37668
> URL: https://issues.apache.org/jira/browse/SPARK-37668
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Maciej Szymkiewicz
> Priority: Major
>
> [This piece of
> code|https://github.com/apache/spark/blob/6e45b04db48008fa033b09df983d3bd1c4f790ea/python/pyspark/pandas/frame.py#L3991-L3993]
> in {{pyspark.pandas.frame}} is going to fail on runtime, when
> {{is_name_like_tuple}} evaluates to {{True}}
> {code:python}
> if is_name_like_tuple(column):
> if len(column) != len(self.columns.levels):
> {code}
> with
> {code}
> 'Index' object has no attribute 'levels'
> {code}
> To be honest, I am not sure what is intended behavior (initially, I suspected
> that we should have
> {code:python}
> if len(column) != self.columns.nlevels
> {code}
> but {{nlevels}} is hard-coded to one, and wouldn't be consistent with Pandas
> at all.
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