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https://issues.apache.org/jira/browse/ARROW-371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-371.
--------------------------------
Resolution: Fixed
Issue resolved by pull request 205
[https://github.com/apache/arrow/pull/205]
> 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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