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@Matt711 Matt711 commented Nov 3, 2025

Description

Contributes to #18659

Closes #20446

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  • I am familiar with the Contributing Guidelines.
  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.

@Matt711 Matt711 requested a review from a team as a code owner November 3, 2025 16:32
@Matt711 Matt711 added the bug Something isn't working label Nov 3, 2025
@Matt711 Matt711 added the non-breaking Non-breaking change label Nov 3, 2025
@github-actions github-actions bot added Python Affects Python cuDF API. cudf.pandas Issues specific to cudf.pandas labels Nov 3, 2025
@GPUtester GPUtester moved this to In Progress in cuDF Python Nov 3, 2025
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Requesting change to hold off until #20460 is merged.

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Matt711 commented Nov 3, 2025

Some more XPASS'ing tests (good). But some of the cuDF classic tests are failing because of the new raise I'm adding in this PR. I think we should only raise in Pandas compatibility mode. Not ideal, but since we're planning to rewrite the pivot/unstack code in cuDF for performance anyway, I think it's okay.

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Some more XPASS'ing tests (good). But some of the cuDF classic tests are failing because of the new raise I'm adding in this PR. I think we should only raise in Pandas compatibility mode. Not ideal, but since we're planning to rewrite the pivot/unstack code in cuDF for performance anyway, I think it's okay.

Yup, Let's do that and open an issue to re-write / GPU accelerate this API so that we don't lose track of it.

@Matt711 Matt711 requested a review from galipremsagar November 3, 2025 20:44
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Thanks @Matt711 !

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/merge

@rapids-bot rapids-bot bot merged commit d27e318 into rapidsai:main Nov 3, 2025
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@github-project-automation github-project-automation bot moved this from In Progress to Done in cuDF Python Nov 3, 2025
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Labels

bug Something isn't working cudf.pandas Issues specific to cudf.pandas non-breaking Non-breaking change Python Affects Python cuDF API.

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Status: Done

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Successfully merging this pull request may close these issues.

[BUG] cudf.unstack produces incorrect MultiIndex column order

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