API: ensure IntervalIndex.left/right are 64bit if numeric #50130
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Dec 11, 2022
pandas/core/indexes/interval.py
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| def _maybe_convert_numeric_to_64bit(self, idx: Index) -> Index: | ||
| # IntervalTree only supports 64 bit numpy array | ||
| dtype = idx.dtype | ||
| if np.issubclass_(idx.dtype.type, np.number): |
Not for me personally, it was more of a question I had when I wrote the code, and we now will support non-64-bit indexes. IMO this can come later, if someone sees a need for it. |
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Sounds good to me. What we have to keep in mind a bit: If we compile IntervalTree for all possible dtypes, this will further increase the size of pandas for end users. So as long as there is no use case, I would keep as is. But open to revisit if there is a situation where this would be helpful |
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Yeah, I agree. I’ve updated the PR. |
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Dec 11, 2022
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Thx @topper-123 |
This was referenced Dec 11, 2022
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Extracted part for #49560, slightly altered.
IntervalIndexdepends onIntervalTreewhich only accepts 64-bit int/uint/floats. This ensures that numpy numeric arrays inIntervalTreewill always be 64-bit.A question is if we should have non-64bit
IntervalTrees. I've considered that that is maybe a different question than #49650, and I could write an issue about it and someone could take it in a follow-up, possibly before 2.0?This PR changes nothing functionality-wise, but is needed when
Indexcan have non-64bit indexes after #49650.