You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Jongbin Park (Jira)" <ji...@apache.org> on 2021/02/01 02:02:00 UTC
[jira] [Created] (ARROW-11450) [Python] pyarrow<3 incompatible with
numpy>=1.20.0
Jongbin Park created ARROW-11450:
------------------------------------
Summary: [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
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|[https://numpy.org/doc/1.20/release/1.20.0-notes.html#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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)