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https://issues.apache.org/jira/browse/SPARK-47997?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-47997:
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Labels: pull-request-available (was: )
> Pandas-on-Spark incompletely implements DataFrame.drop
> ------------------------------------------------------
>
> Key: SPARK-47997
> URL: https://issues.apache.org/jira/browse/SPARK-47997
> Project: Spark
> Issue Type: Bug
> Components: Pandas API on Spark
> Affects Versions: 3.4.3
> Reporter: Philip Kahn
> Priority: Minor
> Labels: pull-request-available
>
> For Pandas v1.0+, `drop` supports the `errors` kwarg:
> [https://pandas.pydata.org/pandas-docs/version/1.0/reference/api/pandas.DataFrame.drop.html]
>
> Pandas-on-Spark does not implement it. This is especially glaring since the
> pyspark drop is a no-op on absent columns, behaving like `errors='ignore'`,
> so _extra_ work needed to be done to implement the raise behaviour.
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