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https://issues.apache.org/jira/browse/SPARK-39747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17566562#comment-17566562
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Hyukjin Kwon commented on SPARK-39747:
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the reason is that we don't support buffer for now (since that strictly assems
that the data is in local). But probably we should fallback to pandas for the
time being.
> pandas and pandas on Spark API parameter naming difference
> -----------------------------------------------------------
>
> Key: SPARK-39747
> URL: https://issues.apache.org/jira/browse/SPARK-39747
> Project: Spark
> Issue Type: Improvement
> Components: Pandas API on Spark
> Affects Versions: 3.3.0
> Reporter: Chenyang Zhang
> Priority: Major
>
> I noticed there are some parameter naming differences between pandas and
> pandas on Spark. For example, in "read_csv", the path parameter is
> "filepath_or_buffer" for pandas and "path" for pandas on Spark. I wonder why
> such a difference exists and may I ask to change it to match exactly the same
> in pandas.
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