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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2022/10/27 14:00:00 UTC

[jira] [Updated] (ARROW-18175) [Python] Use saved pandas metadata to determine default timestamp_as_object in to_pandas()

     [ https://issues.apache.org/jira/browse/ARROW-18175?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-18175:
------------------------------------------
    Summary: [Python] Use saved pandas metadata to determine default timestamp_as_object in to_pandas()  (was: [Python] Use saved object dtype when converting with to_pandas())

> [Python] Use saved pandas metadata to determine default timestamp_as_object in to_pandas()
> ------------------------------------------------------------------------------------------
>
>                 Key: ARROW-18175
>                 URL: https://issues.apache.org/jira/browse/ARROW-18175
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Alenka Frim
>            Priority: Major
>
> If there is pandas metadata present and it indicates object dtype, we should use that to avoid conversion to {{datetime64[ns]}}, but keep {{datetime}} objects in {{to_pandas}}.



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