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https://issues.apache.org/jira/browse/ARROW-12970?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17375727#comment-17375727
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Krisztian Szucs commented on ARROW-12970:
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When we refactored/cleaned up the scalar handling it has occurred to me that
libarrow_python should be responsible for arrow=>python conversions as well but
we deferred that work. This is something we should definitely work on.
> [Python] Efficient "row accessor" for a pyarrow RecordBatch / Table
> -------------------------------------------------------------------
>
> Key: ARROW-12970
> URL: https://issues.apache.org/jira/browse/ARROW-12970
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Luke Higgins
> Priority: Minor
> Fix For: 6.0.0
>
>
> It would be nice to have a nice row accessor for a Table akin to
> pandas.DataFrame.itertuples.
> I have a lot of code where I am converting a parquet file to pandas just to
> have access to the rows through iterating with itertuples. Having this
> ability in pyarrow natively would be a nice feature and would avoid memory
> copy in the pandas conversion.
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