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@vyasr vyasr commented Oct 28, 2025

Description

This change is made in preparation for pandas 3.0. We already have some discrepancies with being a perfect pandas replacement, but as we work to close that gap in #18659 we're OK with switching this default behavior so that we can run to where the puck will soon be as far as aiming for pandas 3.0 compatibility.

Closes #19946

Checklist

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

@vyasr vyasr self-assigned this Oct 28, 2025
@vyasr vyasr requested a review from a team as a code owner October 28, 2025 18:03
@vyasr vyasr added feature request New feature or request breaking Breaking change labels Oct 28, 2025
@github-actions github-actions bot added Python Affects Python cuDF API. cudf.pandas Issues specific to cudf.pandas labels Oct 28, 2025
@GPUtester GPUtester moved this to In Progress in cuDF Python Oct 28, 2025
@galipremsagar galipremsagar added the DO NOT MERGE Hold off on merging; see PR for details label Oct 28, 2025
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Just added DONOT MERGE to see how the tests perform before we merge. Anticipating failures.

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600 failures, not bad. Out of which are 100 XPasses, so net we can just add the 500 failures and merge it 👍 https://github.com/rapidsai/cudf/actions/runs/18889651109/job/53916342647?pr=20401#step:11:7172

@galipremsagar galipremsagar removed the DO NOT MERGE Hold off on merging; see PR for details label Oct 29, 2025
@vyasr vyasr force-pushed the feat/pandas_copy_on_write branch from f662947 to d6498b1 Compare November 3, 2025 20:32
@vyasr vyasr force-pushed the feat/pandas_copy_on_write branch from 291a35f to e856ba2 Compare November 4, 2025 17:52
@vyasr vyasr force-pushed the feat/pandas_copy_on_write branch from d64f715 to 8f0de17 Compare November 4, 2025 20:01
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breaking Breaking change cudf.pandas Issues specific to cudf.pandas feature request New feature or request Python Affects Python cuDF API.

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Status: In Progress

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cudf should start testing pandas with copy-on-write enabled

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