You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Florian Rathgeber (JIRA)" <ji...@apache.org> on 2018/07/16 22:04:00 UTC

[jira] [Comment Edited] (ARROW-2853) Implementing support for zero copy NumPy arrays in libarrow_python

    [ https://issues.apache.org/jira/browse/ARROW-2853?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16545791#comment-16545791 ] 

Florian Rathgeber edited comment on ARROW-2853 at 7/16/18 10:03 PM:
--------------------------------------------------------------------

Wes, in your review of [PR #1931|https://github.com/apache/arrow/pull/1931] you requested creating a separate issue for the C++ implementation of ARROW-564.


was (Author: frg):
Wes, in your review of [PR #1931|#1931] you requested creating a separate issue for the C++ implementation of ARROW-564.

> Implementing support for zero copy NumPy arrays in libarrow_python
> ------------------------------------------------------------------
>
>                 Key: ARROW-2853
>                 URL: https://issues.apache.org/jira/browse/ARROW-2853
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++, Python
>            Reporter: Florian Rathgeber
>            Priority: Major
>
> Implementing support for zero copy NumPy arrays in libarrow_python (i.e. in C++). We can utilize common code paths with `{{to_pandas`}} and toggle between NumPy-for-pandas and NumPy-for-NumPy behavior (and use the `zero_copy_only` flag where needed).



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)