Handle case of scan aggregation in groupby-transform - #15450
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When performing a groupby-transform with a scan aggregation, the intermediate result obtained from calling groupby-agg is already the correct shape and does not need to be broadcast to align with the grouping keys. To handle this, make sure that if the requested transform is a scan that we don't try and broadcast. While here, tighten up the input checking: transform only applies to a single aggregation, rather than the more general interface offered by agg. - Closes NVIDIA#12621 - Closes NVIDIA#15448
wence-
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bdice
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Apr 3, 2024
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| def test_transform_invalid(): | ||
| df = cudf.DataFrame({"key": [1, 1], "values": [4, 5]}) | ||
| with pytest.raises(ValueError): |
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Do we care to raise the same error as pandas? This ends up hitting a TypeError in pandas for a few of the "bad" inputs that I tried like {"values": "cumprod"} or the tuple ("cumprod",) or the integer 3. Only invalid function names (strings) raise ValueError from what I can tell.
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Oh probably, I didn't check exhaustively what pandas produces.
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It's been here forever, so arguably 24.06 is OK. |
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/merge |
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Description
When performing a groupby-transform with a scan aggregation, the intermediate result obtained from calling groupby-agg is already the correct shape and does not need to be broadcast to align with the grouping keys.
To handle this, make sure that if the requested transform is a scan that we don't try and broadcast.
While here, tighten up the input checking: transform only applies to a single aggregation, rather than the more general interface offered by agg.
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