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https://issues.apache.org/jira/browse/ARROW-2554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659580#comment-17659580
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Rok Mihevc commented on ARROW-2554:
-----------------------------------
This issue has been migrated to [issue
#18896|https://github.com/apache/arrow/issues/18896] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> pa.array type inference bug when using NS-timestamp
> ---------------------------------------------------
>
> Key: ARROW-2554
> URL: https://issues.apache.org/jira/browse/ARROW-2554
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.9.0
> Reporter: Marco Neumann
> Assignee: Marco Neumann
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> The following fails:
> {noformat}
> import pandas as pd
> import pyarrow as pa
> pa.array([pd.Timestamp('now').to_datetime64()])
> {noformat}
> with {{ArrowNotImplementedError: Cannot convert NumPy datetime64 objects with
> differing unit}}, but when you provide the correct type information directly,
> it works:
> {noformat}
> import pandas as pd
> import pyarrow as pa
> pa.array([pd.Timestamp('now').to_datetime64()], type=pa.timestamp('ns'))
> {noformat}
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