You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Krisztian Szucs (Jira)" <ji...@apache.org> on 2021/10/13 21:00:00 UTC
[jira] [Commented] (ARROW-14004) [Python] to_pandas() converts to
float instead of using pandas nullable types
[ https://issues.apache.org/jira/browse/ARROW-14004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17428489#comment-17428489 ]
Krisztian Szucs commented on ARROW-14004:
-----------------------------------------
[~jorisvandenbossche] postponing it to 7.0, feel free if it can be fixed until the first release candidate of 6.0
> [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)`).
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)