Re: [I] [Python] support for complex64 and complex128 as primitive types for zero-copy interop with numpy [arrow]

["bkietz (via GitHub)" <gi...@apache.org>]

bkietz commented on issue #39753:
URL: https://github.com/apache/arrow/issues/39753#issuecomment-1924249433

   FixedShapeTensor is a canonical extension type which [also uses `fixed_size_list` in its storage type](https://github.com/apache/arrow/blob/8bff1000e3c093a4b162c17cc04ca03949bb9e4b/cpp/src/arrow/extension/fixed_shape_tensor.h#L57). It was added in #8510, and mailing list [discussion](https://lists.apache.org/thread/oxvx0z0no2yyqsffzdc6nyjh6j4o6krs) and [vote](https://lists.apache.org/thread/f303yscj8gq4oggvvcbvf5zpo972l1kk) is archived.
   
   As for numpy zero copy: we don't currently have a canonical extension type which maps to a numpy type like this one would. In order to support this, it'd be necessary to modify functions like [NumPyDtypeToArrow](https://github.com/apache/arrow/blob/8bff1000e3c093a4b162c17cc04ca03949bb9e4b/python/pyarrow/src/arrow/python/numpy_convert.cc#L133) which maps from a numpy type to an arrow DataType. That might be sufficient for `NumPyConverter::ConvertData` to [recognize zero-copy compatibility](https://github.com/apache/arrow/blob/8bff1000e3c093a4b162c17cc04ca03949bb9e4b/python/pyarrow/src/arrow/python/numpy_to_arrow.cc#L465-L470)


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