[Xander-AJ]

• closes BUG: read_csv fails with TypeError: open() argument 'mode' must be str, not int (with LocalPath) #71769
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.
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#64986 dropped the __iter__ requirement from is_file_like, so stringify_path now treats any os.PathLike with read/write as an open buffer. py.path.local (pytest's tmpdir) has read()/write() helpers but isn't iterable, so it goes through as a buffer instead of through __fspath__. read_csv raises a TypeError (the C parser calls LocalPath.read(262144), whose first argument is mode), and to_csv silently keeps only the last chunk because LocalPath.write() rewrites the file each call.

I changed stringify_path so the GH 38125 shortcut doesn't apply to an os.PathLike that isn't iterable. Non-path-like objects without __iter__ are still accepted as buffers, which is what #64986 was for. The fsspec case from GH 38125 is unaffected; test_stringify_file_and_path_like still passes. Same condition @hamarshehmhmd suggested in the issue.

Added a stringify_path test and a to_csv/read_csv round trip with a small path-like class that has read/write and no __iter__. Both fail on main and pass with the fix. Also checked the original repro with _pytest._py.path.LocalPath.

I used Claude Code with Claude Opus 5.5 () to write the fix, tests and whatsnew entry and to run the tests and pre-commit. I reviewed every change myself.

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[github-actions]

Thanks for the pull request, @Xander-AJ! It's linked to #71769, which is currently assigned to @thergupta2001, who's already working on it. We keep one contributor per issue to avoid duplicated effort. If @thergupta2001 has had no activity for 7 days, the issue is released automatically and you'll then be able to claim it with /take on #71769 — for now, please coordinate with them on the issue. See the contributing guide for details.

I've closed this pull request for now — none of your work is lost. Once #71769 is assigned to you, ask a maintainer to reopen it.