Bryan Cutler created ARROW-6652:
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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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