[jira] [Commented] (ARROW-12970) [Python] Efficient "row accessor" for a pyarrow RecordBatch / Table

["Apache Arrow JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-12970?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17613092#comment-17613092 ] 

Apache Arrow JIRA Bot commented on ARROW-12970:
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This issue was last updated over 90 days ago, which may be an indication it is no longer being actively worked. To better reflect the current state, the issue is being unassigned per [project policy|https://arrow.apache.org/docs/dev/developers/bug_reports.html#issue-assignment]. Please feel free to re-take assignment of the issue if it is being actively worked, or if you plan to start that work soon.

> [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
>            Assignee: Micah Kornfield
>            Priority: Minor
>             Fix For: 10.0.0
>
>
> 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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