slatebit created ARROW-10935:
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Summary: [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
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}
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