Details
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New Feature
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Status: Open
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Major
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Resolution: Unresolved
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None
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None
Description
Numpy and Pandas both have `argmin` and `argmax`, for the common use case of finding values in parallel arrays which correspond to min or max values. Proposals:
- `min_max_index` for arrays
- `hash_min_max_index` for aggregations
- some ability to break ties:
- `min_max_index` for tables with multiple sort keys, similar to `sort_indices`
- `min_max_indices` for arrays to match all equal values