Naveen Michaud-Agrawal created ARROW-2106:
---------------------------------------------
Summary: 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
> 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: 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
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
