Skip to content

Conversation

Koookadooo
Copy link

  • Added tests in pandas/tests/dtypes/test_dtypes.py to ensure numpy_dtype preserves timezone information for ArrowDtype.
  • Type annotations are already present in the modified numpy_dtype function.
  • Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.
  • Added a note in the bug fixes section: - Fixed an issue where .convert_dtypes(dtype_backend="pyarrow") would strip timezone information from timezone-aware PyArrow timestamps. [GH#60237](https://github.com/pandas-dev/pandas/issues/60237)

@Koookadooo
Copy link
Author

pre-commit.ci autofix

@Koookadooo
Copy link
Author

pre-commit.ci autofix

@Koookadooo
Copy link
Author

pre-commit.ci autofix

@Koookadooo
Copy link
Author

pre-commit.ci autofix

@Koookadooo
Copy link
Author

pre-commit.ci autofix

@Koookadooo
Copy link
Author

pre-commit.ci autofix

Copy link
Contributor

This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this.

@github-actions github-actions bot added the Stale label Jan 11, 2025
@mroeschke
Copy link
Member

Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen.

@mroeschke mroeschke closed this Jan 13, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Projects

None yet

Development

Successfully merging this pull request may close these issues.

BUG: .convert_dtypes(dtype_backend="pyarrow") strips timezone from tz-aware pyarrow timestamp Series

2 participants