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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2021/09/23 14:38:00 UTC

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

     [ https://issues.apache.org/jira/browse/ARROW-12970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-12970:
------------------------------------------
    Fix Version/s:     (was: 6.0.0)
                   7.0.0

> [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: 7.0.0
>
>
> 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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