sjperkins commented on pull request #10565: URL: https://github.com/apache/arrow/pull/10565#issuecomment-999636230
Thanks for checking in @jmdeschenes. I'm still working on it, but I haven't been able to give it attention recently. IIRC there are some issues I need to work through. 1. Most standard Numpy data types are First-Class Arrow types and the existing code handles conversion between them. Complex Number Arrow Types are Extension Types so their handling is a bit trickier and I haven't found a clean solution with the existing code, or with newer code that I've written yet. 2. I was very unsure about exposing C++ Extension Types in Python mostly because working in the CPython layer is slower and more opaque. It seems you've pointed out the reverse issue, in that Python Extension Types are stripped out during conversion to the C++ layer. Any advice/help on the above 2 issues would be welcome. Note that I will likely only get another chance to look at this next year. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
