[
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).
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
