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Posted to jira@arrow.apache.org by "Alessandro Molina (Jira)" <ji...@apache.org> on 2022/01/13 15:01:00 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 ]
Alessandro Molina updated ARROW-12970:
--------------------------------------
Fix Version/s: 8.0.0
(was: 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
> Assignee: Micah Kornfield
> Priority: Minor
> Fix For: 8.0.0
>
>
> 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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