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https://issues.apache.org/jira/browse/ARROW-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney resolved ARROW-2106.
---------------------------------
Resolution: Fixed
Issue resolved by pull request 1585
[https://github.com/apache/arrow/pull/1585]
> [Python] pyarrow.array can't take a pandas Series of python datetime objects.
> -----------------------------------------------------------------------------
>
> Key: ARROW-2106
> URL: https://issues.apache.org/jira/browse/ARROW-2106
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.8.0
> Reporter: Naveen Michaud-Agrawal
> Assignee: Uwe L. Korn
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> {{> import pyarrow}}
> > from datetime import datetime
> > import pandas
> > dt = pandas.Series([datetime(2017, 12, 1), datetime(2017, 12, 3),
> datetime(2017, 12, 15)], dtype=object)
> > pyarrow.array(dt, from_pandas=True)
> Raises following:
> ---------------------------------------------------------------------------
> ArrowInvalid Traceback (most recent call last)
> <ipython-input-8-0d49f7fc5c49> in <module>()
> ----> 1 pyarrow.array(dt, from_pandas=True)
> array.pxi in pyarrow.lib.array()
> array.pxi in pyarrow.lib._ndarray_to_array()
> error.pxi in pyarrow.lib.check_status()
> ArrowInvalid: Error inferring Arrow type for Python object array. Got Python
> object of type datetime but can only handle these types: string, bool, float,
> int, date, time, decimal, list, array
> As far as I can tell, the issue seems to be the call to PyDate_CheckExact
> here (instead of using PyDate_Check):
> [https://github.com/apache/arrow/blob/3098c1411930259070efb571fb350304b18ddc70/cpp/src/arrow/python/numpy_to_arrow.cc#L1005]
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