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Posted to issues@arrow.apache.org by "Bryan Cutler (Jira)" <ji...@apache.org> on 2019/09/21 16:59:00 UTC

[jira] [Created] (ARROW-6652) [Python] to_pandas conversion removes timezone from type

Bryan Cutler created ARROW-6652:
-----------------------------------

             Summary: [Python] to_pandas conversion removes timezone from type
                 Key: ARROW-6652
                 URL: https://issues.apache.org/jira/browse/ARROW-6652
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
            Reporter: Bryan Cutler
             Fix For: 0.15.0


Calling {{to_pandas}} on a {{pyarrow.Array}} with a timezone aware timestamp type, removes the timezone in the resulting {{pandas.Series}}.

{code}
>>> import pyarrow as pa
>>> a = pa.array([1], type=pa.timestamp('us', tz='America/Los_Angeles'))
>>> a.to_pandas()
0   1970-01-01 00:00:00.000001
dtype: datetime64[ns]
{code}

Previous behavior from 0.14.1 of converting a {{pyarrow.Column}} {{to_pandas}} retained the timezone.
{code}
In [4]: import pyarrow as pa 
   ...: a = pa.array([1], type=pa.timestamp('us', tz='America/Los_Angeles'))  
   ...: c = pa.Column.from_array('ts', a) 

In [5]: c.to_pandas()                                                                                                        
Out[5]: 
0   1969-12-31 16:00:00.000001-08:00
Name: ts, dtype: datetime64[ns, America/Los_Angeles]
{code}



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