Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Upgrade pandas pinnings & make style fixes #13599

Closed

Conversation

galipremsagar
Copy link
Contributor

@galipremsagar galipremsagar commented Jun 21, 2023

Description

This PR upgrades pandas pinning & fixes style issues in the feature branch.

Checklist

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

@github-actions github-actions bot added Python Affects Python cuDF API. conda labels Jun 21, 2023
@galipremsagar galipremsagar added improvement Improvement / enhancement to an existing function non-breaking Non-breaking change and removed Python Affects Python cuDF API. conda labels Jun 21, 2023
@github-actions github-actions bot added Python Affects Python cuDF API. conda labels Jun 21, 2023
@galipremsagar galipremsagar marked this pull request as ready for review June 21, 2023 14:37
@galipremsagar galipremsagar requested review from a team as code owners June 21, 2023 14:37
@galipremsagar galipremsagar requested review from vyasr and isVoid and removed request for a team June 21, 2023 14:37
Copy link
Contributor

@vyasr vyasr left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Looks fine to me. As usual not expecting tests to pass on this feature branch.

Copy link
Member

@charlesbluca charlesbluca left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Approving dask-cudf changes

@@ -2891,7 +2891,7 @@ def test_rangeindex_join_user_option(default_integer_bitwidth):
actual = idx1.join(idx2, how="inner", sort=True)
expected = idx1.to_pandas().join(idx2.to_pandas(), how="inner", sort=True)
assert actual.dtype == cudf.dtype(f"int{default_integer_bitwidth}")
assert_eq(expected, actual)
assert_eq(expected, actual, exact=False)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Is the exactness not possible because the bitwidth might be different?

@@ -183,7 +183,9 @@ def test_dataframe_join_suffix():
assert_eq(expect.index.values, got.index.values)

got_sorted = got.sort_values(by=list(got.columns), axis=0)
expect.index.name = None
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Is this an API-mismatch in sort_values for us?

@vyasr
Copy link
Contributor

vyasr commented Jan 19, 2024

@galipremsagar do we need to move this PR forward? It looks like #13624 was created just to test this against the latest main branch?

@galipremsagar
Copy link
Contributor Author

#14918 solves this issues being addressed in this PR

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
improvement Improvement / enhancement to an existing function non-breaking Non-breaking change Python Affects Python cuDF API.
Projects
Archived in project
Development

Successfully merging this pull request may close these issues.

5 participants