You are viewing a plain text version of this content. The canonical link for it is here.

Posted to dev@arrow.apache.org by "Jochen Ott (JIRA)" <ji...@apache.org> on 2016/11/08 10:20:59 UTC

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

Jochen Ott created ARROW-371:
--------------------------------

             Summary: 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
            Reporter: Jochen Ott
            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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)