[
https://issues.apache.org/jira/browse/ARROW-10935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joris Van den Bossche closed ARROW-10935.
-----------------------------------------
Resolution: Duplicate
> [Python] pa.array() doesn't support pa.lib.TimestampScalar objects
> ------------------------------------------------------------------
>
> Key: ARROW-10935
> URL: https://issues.apache.org/jira/browse/ARROW-10935
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 2.0.0
> Environment: Windows 10, Python 3.7.4, PyArrow 2.0.0
> Reporter: slatebit
> Priority: Blocker
>
> I encountered this edge case bug in PyArrow v2.0.0. For some reason,
> pa.array() does not know how to support pa.lib.TimestampScalar objects. This
> bug completely blocks my specific use case, although I do recognize that this
> edge case seems kind of wonky. Nonetheless, I don't see any reason why
> PyArrow would not understand one of it's own object types.
>
> Stacktrace:
> {code:java}
> ArrowInvalid: Could not convert 2020-11-04 22:50:16.276892 with type
> pyarrow.lib.TimestampScalar: did not recognize Python value type when
> inferring an Arrow data type
> {code}
>
> Reproducible Code:
> {code:java}
> import pandas as pd
> import pyarrow as pa
> pa.array([pa.scalar(pd.to_datetime('2020-11-04 22:50:16.276892000'))])
> {code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
