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

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-2706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney closed ARROW-2706.
-------------------------------
    Resolution: Duplicate

Duplicate of ARROW-2130

> [Python] 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
>            Priority: Major
>
> 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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