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https://issues.apache.org/jira/browse/ARROW-14004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche reassigned ARROW-14004:
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Assignee: Joris Van den Bossche
> [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
> Fix For: 6.0.0
>
> Attachments: image.png
>
>
> 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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