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Posted to dev@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2016/11/11 12:24:59 UTC

[jira] [Assigned] (ARROW-371) Python: Table with null timestamp becomes float in pandas

     [ https://issues.apache.org/jira/browse/ARROW-371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Uwe L. Korn reassigned ARROW-371:
---------------------------------

    Assignee: Uwe L. Korn

> Python: Table with null timestamp becomes float in pandas
> ---------------------------------------------------------
>
>                 Key: ARROW-371
>                 URL: https://issues.apache.org/jira/browse/ARROW-371
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.1.0
>            Reporter: Jochen Ott
>            Assignee: Uwe L. Korn
>            Priority: Minor
>
> I'm testing round-trip of pandas DataFrame to arrow Table and back.
> Converting a pandas DataFrame with pd.Timestamp columns and NaT entries to a Table seems to work fine (null count and data type of the column match expectations). However, converting the Table back to a DataFrame represents the column as float64, not as pandas.Timestamp/numpy.datetime64[ns] as expected.



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