Bryan Cutler created ARROW-7723:
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Summary: [Python] StructArray timestamp type with timezone
to_pandas convert error
Key: ARROW-7723
URL: https://issues.apache.org/jira/browse/ARROW-7723
Project: Apache Arrow
Issue Type: Bug
Components: Python
Reporter: Bryan Cutler
When a {{StructArray}} has a child that is a timestamp with a timezone, the
{{to_pandas}} conversion outputs an int64 instead of a timestamp
{code:java}
In [1]: import pyarrow as pa
...: import pandas as pd
...: arr = pa.array([{'start': pd.Timestamp.now(), 'end':
pd.Timestamp.now()}])
...:
In [2]: arr.to_pandas()
Out[2]:
0 {'end': 2020-01-29 11:38:02.792681, 'start': 2...
dtype: object
In [3]: ts = pd.Timestamp.now()
In [4]: arr2 = pa.array([ts], type=pa.timestamp('us', tz='America/New_York'))
In [5]: arr2.to_pandas()
Out[5]:
0 2020-01-29 06:38:47.848944-05:00
dtype: datetime64[ns, America/New_York]
In [6]: arr = pa.StructArray.from_arrays([arr2, arr2], ['start', 'stop'])
In [7]: arr.to_pandas()
Out[7]:
0 {'start': 1580297927848944000, 'stop': 1580297...
dtype: object
{code}
from https://github.com/apache/arrow/pull/6312
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