Details
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Improvement
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Status: Closed
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Major
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Resolution: Duplicate
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Description
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).
Attachments
Issue Links
- is superceded by
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ARROW-6749 [Python] Conversion of non-ns timestamp array to numpy gives wrong values
- Resolved
- relates to
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ARROW-564 [Python] Add methods to return vanilla NumPy arrays (plus boolean mask array if there are nulls)
- Resolved