jorisvandenbossche opened a new pull request, #36242: URL: https://github.com/apache/arrow/pull/36242
### Rationale for this change Currently, calling `np.asarray(table)` gives the wrong result (transpose of the expected result), because we don't implement an explicit `__array__` to numpy conversion, and then numpy falls back to iterate the object (but this iterates the columns, giving a transposed result). To fix this unexpected result, I added an actual `__array__` (currently with a naive implementation in python, potentially this could be optimized in our C++ conversion layer) ### Are there any user-facing changes? This changes the behaviour of `np.asarray(table/record_batch)` -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
