[jira] [Resolved] (ARROW-2554) pa.array type inference bug when using NS-timestamp

["Uwe L. Korn (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-2554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Uwe L. Korn resolved ARROW-2554.
--------------------------------
    Resolution: Fixed

Issue resolved by pull request 2118
[https://github.com/apache/arrow/pull/2118]

> 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 10m
>  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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