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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2021/02/01 08:28:00 UTC

[jira] [Commented] (ARROW-11450) [Python] pyarrow<3 incompatible with numpy>=1.20.0

    [ https://issues.apache.org/jira/browse/ARROW-11450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17276135#comment-17276135 ] 

Joris Van den Bossche commented on ARROW-11450:
-----------------------------------------------

This is known issue with wheels of older versions, see the linked issue and https://github.com/numpy/numpy/issues/17913. This is fixed in the latest {{pyarrow}} 3.0.0 release, so please update your {{pyarrow}} version if you want to use the latest NumPy release.

> [Python] pyarrow<3 incompatible with numpy>=1.20.0
> --------------------------------------------------
>
>                 Key: ARROW-11450
>                 URL: https://issues.apache.org/jira/browse/ARROW-11450
>             Project: Apache Arrow
>          Issue Type: Bug
>         Environment: python>=3.7
> Debian 5.7 x86_64
>            Reporter: Jongbin Park
>            Priority: Major
>
> pyarrow 1.0 and 2.0 is not compatible with numpy 1.20.0
> Running the following command would fail:
> {{pa.array(np.arange(10))}}
> with error
> {{pyarrow.lib.ArrowTypeError: Did not pass numpy.dtype object}}
> Numpy release note [[link|#compatibility-notes]]] mentions about the np.dtype related compatibility breaks. Also there is a C API change, which implies numpy dependency constraints should be tighter (whether <=1.20 or >1.20) depending on the compiled numpy version (if pyarrow is depending on it; I'm not aware of the pyarrow internal).



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