[jira] [Created] (ARROW-2706) pandas Timestamp not supported in ListArray

["Thomas Buhrmann (JIRA)" <ji...@apache.org>]

Thomas Buhrmann created ARROW-2706:
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             Summary: pandas Timestamp not supported in ListArray
                 Key: ARROW-2706
                 URL: https://issues.apache.org/jira/browse/ARROW-2706
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.9.0
            Reporter: Thomas Buhrmann


It seems pandas Timestamps are supported in some places but not others. Specifically, they work in primitive Arrays but not ListArrays:
{code:java}
import pyarrow
from datetime import datetime

ts = [pd.Timestamp(2017, 1, 1, 12), pd.Timestamp(2018, 1, 1, 12)]
dt = [datetime(2017, 1, 1, 12), datetime(2018, 1, 1, 12)]

pyarrow.Table.from_pandas(pd.DataFrame(dict(dates=dt)))       # OK   :)
pyarrow.Table.from_pandas(pd.DataFrame(dict(dates=[dt, dt]))) # OK   :)
pyarrow.Table.from_pandas(pd.DataFrame(dict(dates=ts)))       # OK   :)
pyarrow.Table.from_pandas(pd.DataFrame(dict(dates=[ts, ts]))) # Fail :(
{code}
The above code results in: 
{noformat}
ArrowInvalid: Error inferring Arrow data type for collection of Python objects. Got Python object of type Timestamp but can only handle these types: bool, float, integer, date, datetime, bytes, unicode, decimal{noformat}
 

I guess this should be supported?

 



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