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https://issues.apache.org/jira/browse/ARROW-11120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17260962#comment-17260962
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Laurent commented on ARROW-11120:
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[~apitrou]: I am happy to contribute it back if you think it will be a good
home for it.
[~jorisvandenbossche] This is definitely going to require `rpy2`, but from I am
seeing the current APIs for `pyarrow` and the R package `arrow` are sufficient.
[~wesm] The current module `sexpextptr.py` is a building block for this. What I
have in mind and started experimenting with will offer high-level utilities to
share seamlessly Arrow objects between Python and R. On the R side the objects
are "R6" objects (one of the too many OOP in R), for which I already have an
extension to rpy2 (https://github.com/rpy2/rpy2-R6). All this still very much
work-in-progress though. I probably need up to few weeks to get that completed;
once it stabilizes I am happy to see with you if there is a part that should
live under the arrow project.
> [Python][R] Prove out plumbing to pass data between Python and R using rpy2
> ---------------------------------------------------------------------------
>
> Key: ARROW-11120
> URL: https://issues.apache.org/jira/browse/ARROW-11120
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python, R
> Reporter: Wes McKinney
> Priority: Major
>
> Per discussion on the mailing list, we should see what is required (if
> anything) to be able to pass data structures using the C interface between
> Python and R from the perspective of the Python user using rpy2. rpy2 is sort
> of the Python version of reticulate. Unit tests will then validate that it's
> working
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