[jira] [Resolved] (ARROW-14004) [Python] to_pandas() converts to float instead of using pandas nullable types

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-14004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche resolved ARROW-14004.
-------------------------------------------
    Fix Version/s:     (was: 7.0.0)
                   6.0.0
       Resolution: Fixed

Issue resolved by pull request 11434
[https://github.com/apache/arrow/pull/11434]

> [Python] to_pandas() converts to float instead of using pandas nullable types
> -----------------------------------------------------------------------------
>
>                 Key: ARROW-14004
>                 URL: https://issues.apache.org/jira/browse/ARROW-14004
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Documentation, Python
>            Reporter: Miguel Cantón Cortés
>            Assignee: Joris Van den Bossche
>            Priority: Major
>              Labels: pandas, pull-request-available
>             Fix For: 6.0.0
>
>         Attachments: image.png
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> We've noticed that when converting an Arrow Table to pandas using `.to_pandas()` integer columns with null values get converted to float instead of using pandas nullable types.
> If the column was created with pandas first it is correctly preserved (I guess it's using stored metadata for this).
> I've attached a screenshot showing this behavior.
> As currently there is support for nullable types in pandas, just as in Arrow, it would be great to use these types when dealing with columns with null values.
> If you are reticent to change this behavior, a param would be nice too (e.g. `to_pandas(use_nullable_types: True)`).
>  



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