id int64 | number int64 | title string | state string | created_at timestamp[s] | updated_at timestamp[s] | closed_at timestamp[s] | html_url string | is_pull_request bool | pull_request_url string | pull_request_html_url string | user_login string | comments_count int64 | body string | labels list | reactions_plus1 int64 | reactions_minus1 int64 | reactions_laugh int64 | reactions_hooray int64 | reactions_confused int64 | reactions_heart int64 | reactions_rocket int64 | reactions_eyes int64 | comments list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,122,782,208 | 61,578 | DOC: Validate versions.json before building docs #61573 | closed | 2025-06-05T21:48:19 | 2025-06-07T10:00:46 | 2025-06-07T10:00:46 | https://github.com/pandas-dev/pandas/pull/61578 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61578 | https://github.com/pandas-dev/pandas/pull/61578 | iabhi4 | 5 | Adds a JSON validity check for `versions.json` directly inside `pandas_web` during context generation. This ensures malformed JSON (e.g., trailing commas) is caught early, preventing issues like the broken version dropdown in #61572
- [x] Closes #61573 | [
"CI",
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> Can you move this check to main, and just open the file and load it as json, with a comment about what's for.\r\n\r\nThanks for the review @datapythonista, just to confirm: when you say \"move this check to main\", do you mean the `main()` function itself, or the` __main__` block. My assumption is the `__main__`... |
3,122,680,868 | 61,577 | TST: Remove match= in test_setitem_invalid to avoid PytestWarning | closed | 2025-06-05T21:09:39 | 2025-06-13T17:44:38 | 2025-06-13T17:44:31 | https://github.com/pandas-dev/pandas/pull/61577 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61577 | https://github.com/pandas-dev/pandas/pull/61577 | iabhi4 | 3 | test only change - This PR removes the use of `match=""` in `test_setitem_invalid` within `base/setitem.py`.
Using an empty string as a match pattern triggers a `PytestWarning` in newer versions of pytest, so the `match` argument has been removed since the message was not being validated
- [x] closes #61557
- ... | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> Personally I'd just remove the match parameter (unless we have a check to make sure it exists).\r\n> \r\n> But either way this looks good, thanks for taking care of it @iabhi4.\r\n\r\nI tend to agree with @datapythonista, unless there is a specific check that we are looking for and in this case it does not appea... |
3,122,405,296 | 61,576 | DataFrames Class update | closed | 2025-06-05T19:32:17 | 2025-06-13T09:55:40 | 2025-06-13T09:55:40 | https://github.com/pandas-dev/pandas/pull/61576 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61576 | https://github.com/pandas-dev/pandas/pull/61576 | SaraTammame | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @SaraTammame for the contribution, but this seems to be some personal tests, so I guess we can close this.\r\n\r\nIf there is a contribution you want to make, please try to link an issue or provide a description, so we have more context when reviewing."
] |
3,122,398,272 | 61,575 | DataFrame class update | closed | 2025-06-05T19:30:08 | 2025-06-05T19:31:04 | 2025-06-05T19:31:04 | https://github.com/pandas-dev/pandas/pull/61575 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61575 | https://github.com/pandas-dev/pandas/pull/61575 | SaraTammame | 0 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,122,363,438 | 61,574 | BUG: 2.3.0 didn't publish wheels for musl-aarch64 (arm) | closed | 2025-06-05T19:18:15 | 2025-06-06T16:39:30 | 2025-06-06T16:36:53 | https://github.com/pandas-dev/pandas/issues/61574 | true | null | null | virajmehta | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I just uploaded musl-aarch64 wheels for pandas 2.3 https://pypi.org/project/pandas/2.3.0/#files",
"Closing as these wheels are on PyPI now",
"Thank you!"
] |
3,122,306,508 | 61,573 | WEB: Test that our versions JSON is valid | closed | 2025-06-05T18:59:22 | 2025-06-07T10:00:47 | 2025-06-07T10:00:47 | https://github.com/pandas-dev/pandas/issues/61573 | true | null | null | datapythonista | 0 | See #61572
I think this can be as simple as loading the file with `json.load` when calling `pandas_web.py`. This way, if the file is not valid JSON the CI should break. But we need to double check that `json.load` fails if an extra comma is present. | [
"good first issue",
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,122,295,987 | 61,572 | BUG: Fix JSON typo that breaks javascript in the docs | closed | 2025-06-05T18:55:44 | 2025-06-05T19:36:34 | 2025-06-05T19:25:19 | https://github.com/pandas-dev/pandas/pull/61572 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61572 | https://github.com/pandas-dev/pandas/pull/61572 | datapythonista | 4 | Closes #61571
As opposed to Python, JSON doesn't accept commas after the last element of a dict, and it's strict about it. We added this as a typo (I think I did the same during a release, I'll create an issue to validate this JSON in the CI) when updating the JSON that provides the versions for the documentation d... | [
"Bug",
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Is this failure related? https://github.com/pandas-dev/pandas/actions/runs/15474985199/job/43567905639?pr=61572\r\n\r\n```bash\r\nWriting evaluated template result to /home/runner/work/pandas/pandas/doc/build/html/_static/nbsphinx-code-cells.css\r\n\r\nExtension error (pydata_sphinx_theme):\r\nHandler <function up... |
3,122,246,064 | 61,571 | DOC: Version dropdown not working | closed | 2025-06-05T18:40:11 | 2025-06-05T19:25:20 | 2025-06-05T19:25:20 | https://github.com/pandas-dev/pandas/issues/61571 | true | null | null | datapythonista | 0 | Seems like the version dropdown is not working, at least for me, after the release: https://pandas.pydata.org/docs/
Can others confirm please?
Edit: Also the search. I guess there is a javascript error making all javascript code to not run | [
"Docs",
"good first issue"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,122,126,379 | 61,570 | BUG: comparing strings of different dtypes errors in 2.3 | closed | 2025-06-05T17:57:17 | 2025-07-02T16:35:31 | 2025-07-02T16:35:31 | https://github.com/pandas-dev/pandas/issues/61570 | true | null | null | a-reich | 4 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I’m also fine with re-opening #60639 if that’s better.",
"@a-reich Thanks for raising the issue — it has been resolved on the main branch:\n\n```python\n>>> import pandas as pd, numpy as np\n>>> import pandas as pd, numpy as np\n>>> arr1 = pd.array([],pd.StringDtype(\"pyarrow\", na_value=pd.NA))\n>>> arr2 = pd.a... |
3,122,042,354 | 61,569 | BLD: Build wheels for 3.9 and musllinux-aarch64 for pandas 2.3 | closed | 2025-06-05T17:29:26 | 2025-07-03T15:55:37 | 2025-07-02T17:08:01 | https://github.com/pandas-dev/pandas/pull/61569 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61569 | https://github.com/pandas-dev/pandas/pull/61569 | mroeschke | 6 | @lithomas1 would I need to re-tag the 2.3.x branch if/when we merge this?
xref https://github.com/pandas-dev/pandas/issues/61563 https://github.com/pandas-dev/pandas/issues/61574 | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I guess the issue is the tag would have to be named something else (at this point, I don't think it's a good idea to delete and re-tag), and that point it's probably better to make a new version.\r\n\r\nIt might be easier to download wheel artifacts from this PR and upload them by hand using twine, though.",
"Th... |
3,121,700,295 | 61,568 | BUG: Inconsistent behavior surrounding pd.fillna | open | 2025-06-05T15:33:32 | 2025-08-18T21:27:25 | null | https://github.com/pandas-dev/pandas/issues/61568 | true | null | null | anna-intellegens | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Missing-data",
"Dtype Conversions"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for raising this, I investigated the dtype inconsistency and traced it to how `fillna(DataFrame)` calls `where(self.notna(), other)`. When one column is `object`, it triggers coercion of all columns to `object`, even if others are `float64`. Replacing this with a column-wise `np.where(notna, lhs, rhs)` pres... |
3,121,077,669 | 61,567 | BUILD: Add wheels for musllinux_aarch64 | closed | 2025-06-05T12:41:27 | 2025-06-06T16:43:58 | 2025-06-06T16:43:24 | https://github.com/pandas-dev/pandas/pull/61567 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61567 | https://github.com/pandas-dev/pandas/pull/61567 | cdce8p | 5 | It seems the `musllinux_aarch64` wheels got accidentally removed in the transition from circleci to GHA.
Would be great if this could be backported to `2.3.x` as well.
- [x] closes https://github.com/pandas-dev/pandas/issues/55645#issuecomment-2943818815
- [ ] [Tests added and passed](https://pandas.pydata.org/pan... | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR. I'll incorporate this into https://github.com/pandas-dev/pandas/pull/61569 so I can upload 3.9 musllinux-aarch wheels as well",
"Going to close this PR (since the wheel building might be different than in the 2.3.x branch).\r\n\r\nI will update https://github.com/pandas-dev/pandas/issues/61574... |
3,120,672,132 | 61,566 | BUILD: Installation issue on Mac with M1 Pro arm64 processor. pandas_parser.cpython-311-darwin.so is using x86_64 arch | closed | 2025-06-05T10:26:33 | 2025-08-14T02:02:00 | 2025-08-14T02:02:00 | https://github.com/pandas-dev/pandas/issues/61566 | true | null | null | Leviann | 2 | ### Installation check
- [x] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
macOS-15.5-arm64-arm-64bit
### Installation Method
Built from source
### pandas Version
pandas-3.0.0.dev0+2147.g1f6f42ac55
### Python Vers... | [
"Build",
"Needs Info",
"OS X"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Can you include the build command you are using to build from source along with the full log.",
"Closing for lack of info. If you’d like to answer @rhshadrach question we can reopen and try to help"
] |
3,120,501,218 | 61,565 | BUG: RecursionError when apply generic alias as a func | closed | 2025-06-05T09:30:30 | 2025-06-16T23:13:26 | 2025-06-16T23:13:26 | https://github.com/pandas-dev/pandas/issues/61565 | true | null | null | MacroBull | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,119,816,321 | 61,564 | Failed to install pandas BUILD: 2.3.0 Windows | closed | 2025-06-05T04:41:38 | 2025-06-06T09:12:02 | 2025-06-05T16:58:11 | https://github.com/pandas-dev/pandas/issues/61564 | true | null | null | tanishqv | 5 | ### Installation check
- [x] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
Windows-10-10.0.22631-SP0
### Installation Method
pip install
### pandas Version
2.3.0
### Python Version
3.9.13
### Installation Logs
... | [
"Build",
"Needs Triage"
] | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Ran into the same issue. `requires-python` is still `>= 3.9`.\n\nhttps://github.com/pandas-dev/pandas/blob/2cc37625532045f4ac55b27176454bbbc9baf213/pyproject.toml#L28\n\nhttps://github.com/pandas-dev/pandas/releases/tag/v2.3.0 says 2.3.0 only supports >= 3.10.",
"Ran into the same issue in **Mac OSX (Sillicon),*... |
3,119,772,338 | 61,563 | Failed to install pandas==2.3.0 with Python 3.9 | closed | 2025-06-05T04:11:02 | 2025-06-06T16:18:28 | 2025-06-06T12:10:15 | https://github.com/pandas-dev/pandas/issues/61563 | true | null | null | ryanchao2012 | 22 | ### Installation check
- [x] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
Linux-5.10.195-1.20230921.el7.x86_64-x86_64-with-glibc2.17
### Installation Method
pip install
### pandas Version
2.3.0
### Python Version... | [
"Build",
"Needs Triage"
] | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | [
"Ran into the same issue in **Mac OSX (Sillicon),** using uv pip install. Error is in Cython there is a missing \"ios\" file.\n(didn't want to open another issue, but I can do it if it is different)\n\nPython: 3.12.7\nEnv: virtualenv (uv)\nPlatform: Mac OSX (sillicon)\n\nMost relevant log:\n```\n pandas/_libs/... |
3,119,734,585 | 61,562 | WEB: Update versions.json for 2.3 | closed | 2025-06-05T03:41:48 | 2025-06-05T17:31:53 | 2025-06-05T17:31:50 | https://github.com/pandas-dev/pandas/pull/61562 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61562 | https://github.com/pandas-dev/pandas/pull/61562 | mroeschke | 0 | null | [
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,119,292,227 | 61,561 | Backport PR #61560: DOC: Set date for v2.3.0.rst whatsnew | closed | 2025-06-04T22:32:29 | 2025-06-04T23:05:57 | 2025-06-04T23:05:43 | https://github.com/pandas-dev/pandas/pull/61561 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61561 | https://github.com/pandas-dev/pandas/pull/61561 | mroeschke | 0 | null | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,119,110,834 | 61,560 | DOC: Set date for v2.3.0.rst whatsnew | closed | 2025-06-04T21:03:56 | 2025-06-04T22:33:07 | 2025-06-04T22:28:13 | https://github.com/pandas-dev/pandas/pull/61560 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61560 | https://github.com/pandas-dev/pandas/pull/61560 | mroeschke | 5 | null | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61560/",
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61560/",
"Owee, I'm MrMeeseeks, Look at me.\n\nThere seem to be a conflict, please back... |
3,118,769,967 | 61,559 | Pandas DataFrame.query Code Injection (Unpatched) | closed | 2025-06-04T18:45:13 | 2025-06-05T00:53:47 | 2025-06-05T00:53:43 | https://github.com/pandas-dev/pandas/issues/61559 | true | null | null | clyormz | 2 | Python pandas version 2.2.3 has a vulnerability on Pandas DataFrame.query
In order to fix the function query on DataFrame python class what are the elements to review to resolve the vulnerability CVE-2024-9880.
Regards | [
"expressions",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi, this CVE is rejected. Also discussed at #60602",
"Agreed @asishm, closing."
] |
3,118,724,429 | 61,558 | Backport PR #61519: BUILD: Bump Cython to 3.1 | closed | 2025-06-04T18:28:57 | 2025-06-04T20:45:50 | 2025-06-04T20:45:43 | https://github.com/pandas-dev/pandas/pull/61558 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61558 | https://github.com/pandas-dev/pandas/pull/61558 | mroeschke | 0 | https://github.com/pandas-dev/pandas/pull/61519 | [
"Build",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,118,522,709 | 61,557 | BUG: regex match in compliance tests no longer match pytest expected inputs | closed | 2025-06-04T17:11:35 | 2025-06-13T17:44:32 | 2025-06-13T17:44:32 | https://github.com/pandas-dev/pandas/issues/61557 | true | null | null | chalmerlowe | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Testing",
"Error Reporting",
"good first issue"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report.\n\n> pandas release 2.2.3\n\nTo be sure, we'd only fix these on main. So it's not too important for us if this is in the 2.2.3 release. Does that cause you any issues?\n\nFor `test_take_pandas_style_negative_raises`, this is now fixed on main, but at least some of the others you listed are n... |
3,117,730,207 | 61,556 | Backport PR #61549 on branch 2.3.x (TST: Add error message for test_groupby_raises_category_on_category for quantile) | closed | 2025-06-04T12:52:13 | 2025-06-04T16:31:56 | 2025-06-04T16:31:56 | https://github.com/pandas-dev/pandas/pull/61556 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61556 | https://github.com/pandas-dev/pandas/pull/61556 | meeseeksmachine | 0 | Backport PR #61549: TST: Add error message for test_groupby_raises_category_on_category for quantile | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,117,071,656 | 61,555 | DOC: Fix typo in to_html and to_string docs | closed | 2025-06-04T09:04:21 | 2025-06-06T14:54:00 | 2025-06-06T14:53:59 | https://github.com/pandas-dev/pandas/pull/61555 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61555 | https://github.com/pandas-dev/pandas/pull/61555 | datapythonista | 5 | **UPDATE:** This started as an upgrade of Python in environment.yml, now it's just about fixing an issue with a period is duplicated in both the template and the variables.
I guess the only reason we require Python 3.10 for the development environments and run the docs is because it wasn't updated for a long time.... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"+1 to unpin Python here",
"Just FYI, I think there are some configurations like pre-commit/mypy/etc. that have a \"Python version\" configuration that may be useful to (un)sync since they are dependent on the Python version installed by `environment.yml`",
"I'll leave this PR just for the typo in the docs (whi... |
3,117,048,901 | 61,554 | BUG: duplicated() raises error with singlton set as subset | closed | 2025-06-04T08:57:11 | 2025-06-11T17:52:35 | 2025-06-11T17:52:35 | https://github.com/pandas-dev/pandas/issues/61554 | true | null | null | camold | 7 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take\n",
"I verified it in the release build but not on the main branch, try running it on the main branch, the root issue might have been fixed already",
"I think this issue should be able to be closed",
"I have tried to set up a clone of the main branch but it does not build on my machine locally. So I can... |
3,116,984,839 | 61,553 | DOC: Move PyCapsule whatsnew note from v3.0.0 to v2.3.0 | closed | 2025-06-04T08:36:01 | 2025-06-04T11:31:48 | 2025-06-04T11:31:38 | https://github.com/pandas-dev/pandas/pull/61553 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61553 | https://github.com/pandas-dev/pandas/pull/61553 | MarcoGorelli | 1 | follow-up from https://github.com/pandas-dev/pandas/pull/61488#pullrequestreview-2871730860
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new fe... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @MarcoGorelli "
] |
3,116,474,516 | 61,552 | DOC: Add note on inference behavior of apply with result_type='expand' | closed | 2025-06-04T05:20:11 | 2025-07-15T17:17:59 | 2025-07-15T17:17:59 | https://github.com/pandas-dev/pandas/pull/61552 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61552 | https://github.com/pandas-dev/pandas/pull/61552 | pinkgradient | 5 | Closes #61057
- This PR adds a docstring note about the inference behavior of apply with result_type='expand' when function returns NaN-like values, as discussed in issue #61057.
- Added docstring to distinguish behavior for 'apply' method. | [
"Docs",
"Apply",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"pre-commit.ci autofix",
"Personally I think we should deprecate that parameter. Since I guess you're using it, do you mind sharing an example of how you are using it?\r\n\r\nYou'll have to remove the blank lines for the PR. Also, did you check if what you are detailing is only affected... |
3,116,401,342 | 61,551 | Parallelize test_sql.py - Issue #60378 | open | 2025-06-04T04:47:40 | 2025-08-10T00:10:06 | null | https://github.com/pandas-dev/pandas/pull/61551 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61551 | https://github.com/pandas-dev/pandas/pull/61551 | dShcherbakov1 | 5 | - [ ] Closes #60378
- [ ] Builds off of https://github.com/pandas-dev/pandas/pull/60595
- [ ] Extends @UmbertoFasci's per-table UUID work
- [ ] Solves https://github.com/pandas-dev/pandas/pull/60595 concurrency issue
~~- [x] Parallelizes test_sql.py via per-worker_DBs (approach superseded due to complexity)~~
| [
"Testing",
"IO SQL",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the feedback @mroeschke!\r\n\r\nHaving now run this through CI, I agree! I come from a production-oriented environment, so I initially underestimated the architecture/OS complexity. \r\n\r\nI looked into per-table UUIDs as per @UmbertoFasci's PR, and was concerned it might impact future test writing, an... |
3,116,382,404 | 61,550 | DOC: Remove and Update out of date Docker Image issue with #61511 | closed | 2025-06-04T04:40:39 | 2025-07-28T17:20:48 | 2025-07-28T17:20:48 | https://github.com/pandas-dev/pandas/pull/61550 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61550 | https://github.com/pandas-dev/pandas/pull/61550 | jacksnnn | 3 | - [ ] Addresses & closes [DOC: Docker image provided on "Debugging C extensions" is out of date #61511](https://github.com/pandas-dev/pandas/issues/61511)
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
| [
"Docs",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@WillAyd do you mind having a look?\r\n\r\nI think we should also remove the container if it's not maintained, not only the docs.",
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#upd... |
3,115,932,756 | 61,549 | TST: Add error message for test_groupby_raises_category_on_category for quantile | closed | 2025-06-04T01:25:16 | 2025-06-04T16:24:09 | 2025-06-04T12:51:50 | https://github.com/pandas-dev/pandas/pull/61549 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61549 | https://github.com/pandas-dev/pandas/pull/61549 | mroeschke | 0 | e.g. https://github.com/pandas-dev/pandas/actions/runs/15426735055/job/43415431095?pr=61519 | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,115,932,737 | 61,548 | changed the pydata-sphinx-theme dependency to the git version | closed | 2025-06-04T01:25:15 | 2025-06-06T14:48:33 | 2025-06-04T11:43:25 | https://github.com/pandas-dev/pandas/pull/61548 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61548 | https://github.com/pandas-dev/pandas/pull/61548 | louisjh14 | 3 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This seems a bad idea. And if you think we should be doing this, please open an issue with the motivation, or at least write a description in the PR, so this can be discussed. But we don't want changes to a sphinx theme breaking our CI, so I don't think we'll get this merged.",
"This was related to issue #51536.... |
3,115,882,897 | 61,547 | CLN: Format comments in frame.py to comply with PEP8 line width | closed | 2025-06-04T00:53:34 | 2025-06-04T11:46:55 | 2025-06-04T11:46:55 | https://github.com/pandas-dev/pandas/pull/61547 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61547 | https://github.com/pandas-dev/pandas/pull/61547 | TheCheerfulCoder | 1 | Hello! While becoming acquainted with the code, I noticed that the frame.py file had a lot of comments with a length over PEP8's 79 character limit.
I reformatted all comments to the 79 character limit, unless they involve command-line related code examples.
Let me know if there is anything I can do to help.
T... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for working on the proposed changes @TheCheerfulCoder. We validate in our CI that all rules from PEP-8 we care about are enforced. You can check the code checks jobs to get an idea all the things we validate.\r\n\r\nWe're happy with these longer lines, and merging this PR means we lose the value that `git b... |
3,115,813,278 | 61,546 | ENH: Adding DataFrame plotting benchmarks for large datasets | closed | 2025-06-04T00:21:17 | 2025-07-16T16:36:23 | 2025-07-16T16:36:22 | https://github.com/pandas-dev/pandas/pull/61546 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61546 | https://github.com/pandas-dev/pandas/pull/61546 | shadnikn | 3 | - [ ] related to #61532 - Adding in performance benchmarks for DataFrame plotting with large datasets.
- [ ] Description: Added 'DataFramePlottingLarge' benchmark class to track performance issues related to bottlenecks in #61398 and #61532. Tests multiple DataFrame sizes with/w/o DatetimeIndex & provides a baseline ... | [
"Benchmark"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@rhshadrach do you have an opinion about this?",
"@shadnikn - what is the runtime of these benchmarks on your machine?",
"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 re... |
3,115,629,990 | 61,545 | Fix WeekOfMonth offset constructor offsets.pyx | closed | 2025-06-03T22:40:30 | 2025-06-04T14:52:42 | 2025-06-04T14:52:42 | https://github.com/pandas-dev/pandas/pull/61545 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61545 | https://github.com/pandas-dev/pandas/pull/61545 | Cadensmith1123 | 1 | Related to issue #52431, went and scanned the checklist commented previously by a user on Aug 4th, 2024. Noticed WeekOfMonth has incorrect offset constructors, and updated according to an earlier comment by @Dr-Irv
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is not the right way to do this. Will close this, because we need to figure out what is the right way."
] |
3,115,609,052 | 61,544 | DOC: Fix WeekOfMonth offset constructor offsets.pyx | closed | 2025-06-03T22:30:19 | 2025-06-03T22:36:06 | 2025-06-03T22:36:06 | https://github.com/pandas-dev/pandas/pull/61544 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61544 | https://github.com/pandas-dev/pandas/pull/61544 | Cadensmith1123 | 0 | Related to #52431 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,115,248,818 | 61,543 | DOC: Fix docs for BusinessDay constructor #52431 | closed | 2025-06-03T19:50:59 | 2025-07-16T16:35:50 | 2025-07-16T16:35:50 | https://github.com/pandas-dev/pandas/pull/61543 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61543 | https://github.com/pandas-dev/pandas/pull/61543 | camacluc | 1 | fix constructor for offset BusinessDay
- [ ] addresses #52431
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
| [
"Docs",
"Frequency"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"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."
] |
3,114,631,618 | 61,542 | CI: Debug slow environment solve times | closed | 2025-06-03T16:19:34 | 2025-07-28T19:22:25 | 2025-06-06T16:45:18 | https://github.com/pandas-dev/pandas/pull/61542 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61542 | https://github.com/pandas-dev/pandas/pull/61542 | mroeschke | 2 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Not sure if you've seen the discussion in #61531",
"Ah yes thanks. Yeah I suspect this is a mamba solver issue. Closing this PR out"
] |
3,114,329,620 | 61,541 | BUG: Fix Index.equals between object and string | closed | 2025-06-03T14:54:11 | 2025-07-10T20:58:51 | 2025-07-10T20:58:43 | https://github.com/pandas-dev/pandas/pull/61541 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61541 | https://github.com/pandas-dev/pandas/pull/61541 | sanggon6107 | 1 | - [X] closes #61099
- [X] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [X] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [
"Bug",
"Strings",
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @sanggon6107!"
] |
3,113,693,938 | 61,540 | ENH pandas-dev#60693: shift operations for Series and DataFrames | closed | 2025-06-03T12:06:30 | 2025-06-30T18:17:58 | 2025-06-30T18:17:58 | https://github.com/pandas-dev/pandas/pull/61540 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61540 | https://github.com/pandas-dev/pandas/pull/61540 | David-msggc | 2 | This commit introduces the rshift and lshift method for both Series and DataFrames in pandas. It also adds the corresponding in-place methods.
These methdos don't work between a Series and a Dataframe, or if the two Series or DataFrames differ in size.
- [x] closes #60693
- [x] [Tests added and passed](https://pan... | [
"Enhancement",
"Numeric Operations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke Any chance this would be worth adding to pandas?",
"Going to close this PR until a decision has been made on the original issue"
] |
3,113,587,665 | 61,539 | ENH: Columns formatted as "Text" in Excel are read as numbers | open | 2025-06-03T11:31:43 | 2025-06-23T16:00:42 | null | https://github.com/pandas-dev/pandas/issues/61539 | true | null | null | pranay-sa | 0 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
When reading Excel files, pandas ignores Excel's "Text" cell formatting and converts text-formatted numbers (e.g., IDs, codes) to numeri... | [
"Enhancement",
"IO Excel",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,111,502,879 | 61,538 | usecols investigation for various I/O functions | closed | 2025-06-02T20:16:32 | 2025-06-03T16:04:25 | 2025-06-03T16:04:24 | https://github.com/pandas-dev/pandas/issues/61538 | true | null | null | eicchen | 1 | pasting my comment from #61386 for visibility with relevant decisionmakers
> As promised during the sync meeting today, I went and compiled how various read functions handle columns being specified. Functions that take usecols (read_csv, read_clipboard, read_excel, and read_hdf(undocumented)) don't take into account i... | [
"IO CSV",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks, but let's centralize discussion in the original issue (https://github.com/pandas-dev/pandas/issues/61386) so closing this one"
] |
3,111,287,144 | 61,537 | BUG: use of iloc with heterogeneous DataFrame sometimes performs undocumented conversions | open | 2025-06-02T18:59:10 | 2025-06-23T16:03:56 | null | https://github.com/pandas-dev/pandas/issues/61537 | true | null | null | illbebach | 0 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Indexing",
"Dtype Conversions",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,110,854,668 | 61,536 | [pre-commit.ci] pre-commit autoupdate | closed | 2025-06-02T16:29:49 | 2025-06-02T17:02:26 | 2025-06-02T17:02:23 | https://github.com/pandas-dev/pandas/pull/61536 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61536 | https://github.com/pandas-dev/pandas/pull/61536 | pre-commit-ci[bot] | 0 | <!--pre-commit.ci start-->
updates:
- [github.com/astral-sh/ruff-pre-commit: v0.11.8 → v0.11.12](https://github.com/astral-sh/ruff-pre-commit/compare/v0.11.8...v0.11.12)
- [github.com/asottile/pyupgrade: v3.19.1 → v3.20.0](https://github.com/asottile/pyupgrade/compare/v3.19.1...v3.20.0)
- [github.com/pre-commit/mirrors... | [
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,108,703,108 | 61,535 | ENH: read_csv tz option | closed | 2025-06-02T05:57:05 | 2025-08-05T16:29:10 | 2025-08-05T16:29:10 | https://github.com/pandas-dev/pandas/issues/61535 | true | null | null | hasandiwan | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I use pd.read_csv to grab a series of timestamp'd links interactively from a remote website.
### Feature Description
I would like it ... | [
"Enhancement",
"IO CSV",
"Needs Triage",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I don't think we'll implement this. `read_csv` has too way many parameters already, and this can be done after the CSV is read, if I'm not missing anything. But let's see what others think.",
"Agreed, closing"
] |
3,108,065,455 | 61,534 | Add version constraints to reduce micromamba CI environment resolution time | closed | 2025-06-01T23:59:29 | 2025-06-02T08:33:13 | 2025-06-02T08:32:55 | https://github.com/pandas-dev/pandas/pull/61534 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61534 | https://github.com/pandas-dev/pandas/pull/61534 | Ishubhammohole | 2 | This PR updates the `environment.yml` file to add version constraints to several frequently resolved dependencies. These changes help reduce environment resolution time in CI workflows using micromamba, which was previously leading to timeouts (see #61531).
Updated packages:
- ipywidgets>=8.1.2
- nbformat>=5.9.2
... | [
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"Closing, as discussed in https://github.com/pandas-dev/pandas/issues/61531#issuecomment-2929429803"
] |
3,107,929,504 | 61,533 | BUG: Fix Series.str.zfill for ArrowDtype string arrays #61485 | open | 2025-06-01T22:09:25 | 2025-07-17T00:09:10 | null | https://github.com/pandas-dev/pandas/pull/61533 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61533 | https://github.com/pandas-dev/pandas/pull/61533 | iabhi4 | 1 | Implemented `_str_zfill` for `ArrowExtensionArray` to support `Series.str.zfill` on Arrow-backed string arrays (`ArrowDtype(pa.string())`). This fixes an AttributeError due to the method relying on `_str_map`, which wasn't implemented. Used `_apply_elementwise` to match the approach of other string methods. Added tests... | [
"Strings",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this."
] |
3,107,872,632 | 61,532 | ENH: speed up `DataFrame.plot` using `LineCollection` | open | 2025-06-01T21:25:38 | 2025-06-04T00:23:14 | null | https://github.com/pandas-dev/pandas/issues/61532 | true | null | null | Abdelgha-4 | 5 | **Description:**
When plotting line charts with many columns or rows, DataFrame.plot() currently adds one Line2D object per column. This incurs significant overhead in large datasets.
Replacing this with a single LineCollection (from matplotlib.collections) can yield substantial speedups. In my benchmarks, plotting v... | [
"Visualization",
"Performance"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hello, I'd like to take an opportunity to resolve this issue. Could I get assigned to it?",
"take",
"Confirmed on main and in my testing as well. I am aware that this is relatively linked to #61398, but I do think that this should be kept open as a separate issue since they tackle different performance bottlen... |
3,107,305,231 | 61,531 | CI: Micromamba taking too long to resolve the environments in the CI | closed | 2025-06-01T14:08:04 | 2025-06-13T14:34:13 | 2025-06-13T14:34:13 | https://github.com/pandas-dev/pandas/issues/61531 | true | null | null | datapythonista | 6 | Our CI jobs are frequently failing now as they timeout after 90 minutes of execution. Of those 90 minutes, 25 are spent on micromamba resolving the environment.
In the past we have fixed this by limiting the number of packages to be considered. For example, if the environment just says `numpy`, maybe there are 200 ver... | [
"CI",
"Dependencies",
"good first issue"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"The failing CI jobs is exactly what we are trying to fix. I'll close the PR for now, as it doesn't really help as it is. The dependencies that need to be fixed are not our development environment (not sure how long it takes, but not 25 minutes the last time I installed it). It's the dependencies for the ... |
3,107,129,953 | 61,530 | API: Replace na_action parameter in Series/DataFrame/Index.map by the standard skipna | open | 2025-06-01T11:47:23 | 2025-07-25T00:09:11 | null | https://github.com/pandas-dev/pandas/pull/61530 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61530 | https://github.com/pandas-dev/pandas/pull/61530 | datapythonista | 2 | - [X] xref #61128
- [X] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [X] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [X] A... | [
"API Design",
"Apply",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Updated this so the `na_action` parameter is also not removed from the extension arrays, and it warns. The base array since as you said @mroeschke is technically public. `map_array` since it's used by pandas-pint, even if it's not supposed to be public, but better not break their code. And the specific implementat... |
3,106,434,267 | 61,529 | raise TypeError when function returns object-like results | open | 2025-06-01T02:41:40 | 2025-06-23T16:06:20 | null | https://github.com/pandas-dev/pandas/issues/61529 | true | null | null | michael2015tse | 0 | This roll_apply raises `TypeError: must be real number, not str` when my customized function returns str / list or other object-like results. Because here it is: `ndarray[float64_t] output`
https://github.com/pandas-dev/pandas/blob/0691c5cf90477d3503834d983f69350f250a6ff7/pandas/_libs/window/aggregations.pyx#L1396 | [
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,105,890,881 | 61,528 | DOC: Typo fix for .astype() in cheatsheet | closed | 2025-05-31T18:35:29 | 2025-06-02T16:29:02 | 2025-06-02T16:28:55 | https://github.com/pandas-dev/pandas/pull/61528 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61528 | https://github.com/pandas-dev/pandas/pull/61528 | brchristian | 3 | - [x] Closes #61523
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ]... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@datapythonista You're very welcome! I noticed that too about the PDF size. I'm not too familiar with the MS Office suite and how PowerPoint exports exactly; I just saved it directly from PowerPoint Version 16.97.2 (25052611) for Mac by following what looked like the standard flow through either \"Save\" or \"Expo... |
3,105,461,098 | 61,527 | ENH: Implement DataFrame.select | closed | 2025-05-31T13:10:03 | 2025-06-20T21:15:00 | 2025-06-20T20:20:32 | https://github.com/pandas-dev/pandas/pull/61527 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61527 | https://github.com/pandas-dev/pandas/pull/61527 | datapythonista | 22 | - [X] closes #61522
- [X] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [X] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [X]... | [
"Enhancement",
"Indexing",
"API Design"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Slight preference for (arg) over (*arg), strong preference for supporting one, not both.",
"For reference, [PySpark](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.select.html) uses `*cols`, and [Polars](https://docs.pola.rs/api/python/stable/reference/dataframe/a... |
3,105,055,505 | 61,526 | DOC: fix ES01 for pandas.plotting.autocorrelation_plot | closed | 2025-05-31T07:08:00 | 2025-06-08T09:07:28 | 2025-06-02T16:37:15 | https://github.com/pandas-dev/pandas/pull/61526 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61526 | https://github.com/pandas-dev/pandas/pull/61526 | tuhinsharma121 | 2 | fixes
```
pandas.plotting.autocorrelation_plot ES01
```
This includes a crisp extended summary of the method which talks about what it does, how it does it and whats the value of it.
| [
"Docs",
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @tuhinsharma121 ",
"> lgtm, but I'm not so familiar with autocorrelation plots, I'll let someone else merge. @Dr-Irv maybe you know about this more?\r\n\r\nNot my area at all!"
] |
3,104,977,346 | 61,525 | BUG: Fix assert_frame_equal dtype handling when check_dtype=False (#61473) | open | 2025-05-31T06:09:26 | 2025-07-04T23:17:54 | null | https://github.com/pandas-dev/pandas/pull/61525 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61525 | https://github.com/pandas-dev/pandas/pull/61525 | iabhi4 | 2 | Fixes a bug in `assert_frame_equal` where `DataFrames` with logically equal values but different dtypes (nullable vs non-nullable) would raise errors even with check_dtype=False. Now, when `check_dtype=False`, dtype mismatches won’t cause failures.
- [x] closes #61473
- [x] Tests added and passing
- [x] Pre-... | [
"Testing",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this.",
"hey @mroeschke, addressed the ... |
3,104,716,590 | 61,524 | BUG: Fix pivot_table margins to include NaN groups when dropna=False | closed | 2025-05-31T02:52:43 | 2025-07-13T12:13:46 | 2025-07-13T12:10:06 | https://github.com/pandas-dev/pandas/pull/61524 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61524 | https://github.com/pandas-dev/pandas/pull/61524 | iabhi4 | 5 | Fix incorrect margin computation in `pivot_table` when index or columns contain NA values
This PR fixes an issue where the `"All"` row or column (i.e., `margins=True`) in `pd.pivot_table` does not account for rows that contain `NA` values in the index or column dimensions. These rows were incorrectly excluded from t... | [
"Bug",
"Missing-data",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This change fixes the margin behavior in `pivot_table` when `dropna=False`, but as expected, it also affects related logic, a few tests are now failing, especially in `test_crosstab`, where the old margin behavior is still being asserted.\r\n\r\nBefore I go ahead and update those tests to match the new behavior, I... |
3,104,347,859 | 61,523 | DOC: Official "Cheat Sheet" shows `as_type()` method, correct signature is `astype()` | closed | 2025-05-30T21:51:59 | 2025-06-02T16:28:56 | 2025-06-02T16:28:56 | https://github.com/pandas-dev/pandas/issues/61523 | true | null | null | brchristian | 3 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
### Documentation problem
The ... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I’m very happy to take this and submit a PR that updates the PPTX/PDF. 👍",
"Thanks for the report. Agreed we should have `astype`. PR to fix is welcome - when doing so, please update all files in the `cheatsheet` directory.",
"PR #61528 submitted!\n\nNote that the cheatsheets offered in Farsi and Japanese are... |
3,104,104,614 | 61,522 | ENH: Implement DataFrame.select to select columns | open | 2025-05-30T19:40:31 | 2025-06-03T18:25:57 | null | https://github.com/pandas-dev/pandas/issues/61522 | true | null | null | datapythonista | 3 | Add a new method `DataFrame.select` to select columns from a DataFrame. The exact specs are still open to discussion, here I write a draft of what the method could look like.
Basic case, select columns. Personally both as a list, or as multiple parameters with `*args` should be supported for convenience:
```python
df... | [
"Enhancement",
"Indexing",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Related issues\n\nhttps://github.com/pandas-dev/pandas/issues/40322\nhttps://github.com/pandas-dev/pandas/issues/55289\nhttps://github.com/pandas-dev/pandas/issues/61317\n\n> What if...\n\nWhen just `*args` are provided, this should have the same behavior as `__getitem__` when a row is not provided. Doing anything... |
3,104,037,445 | 61,521 | Misleading error message when PyTables is not installed | closed | 2025-05-30T19:08:09 | 2025-06-30T18:16:15 | 2025-06-30T18:16:15 | https://github.com/pandas-dev/pandas/issues/61521 | true | null | null | user27182 | 7 | I tried reading an hd5 file with the latest pandas and got this import error:
`ImportError: Missing optional dependency 'pytables'. Use pip or conda to install pytables.`
So I tried `pip install pytables` and got this error:
```
ERROR: Could not find a version that satisfies the requirement pytables (from versions:... | [
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Replacing these lines:\nhttps://github.com/pandas-dev/pandas/blob/c708e152c42f81b17cf6e47f7939a86e4c3fc77f/pandas/compat/_optional.py#L151-L157\nwith:\n``` python\n package_name = INSTALL_MAPPING.get(name, name)\n\n msg = (\n f\"Missing optional dependency {package_name}. {extra} \"\n f\"Use pi... |
3,103,956,084 | 61,520 | Backport PR #61518 on branch 2.3.x (TST: Use external_error_raised for numpy-raised test_error_invalid_values) | closed | 2025-05-30T18:34:23 | 2025-05-30T21:06:07 | 2025-05-30T21:06:07 | https://github.com/pandas-dev/pandas/pull/61520 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61520 | https://github.com/pandas-dev/pandas/pull/61520 | meeseeksmachine | 0 | Backport PR #61518: TST: Use external_error_raised for numpy-raised test_error_invalid_values | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,103,936,508 | 61,519 | BUILD: Bump Cython to 3.1 | closed | 2025-05-30T18:26:12 | 2025-06-05T18:50:32 | 2025-06-04T18:16:55 | https://github.com/pandas-dev/pandas/pull/61519 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61519 | https://github.com/pandas-dev/pandas/pull/61519 | rhshadrach | 8 | - [x] closes #60972 (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"Build",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> Could you also bump cython in the ci/deps files?\r\n\r\nBumped. The pin there was `cython>=0.29.33` (except freethreading which doesn't have any pin), but I do think having some upper bound is preferable. \r\n\r\nFrom the 2 to 3 transition, I was cautious about accepting new versions and I think now overly so. W... |
3,103,699,390 | 61,518 | TST: Use external_error_raised for numpy-raised test_error_invalid_values | closed | 2025-05-30T16:34:21 | 2025-05-30T18:33:52 | 2025-05-30T18:33:49 | https://github.com/pandas-dev/pandas/pull/61518 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61518 | https://github.com/pandas-dev/pandas/pull/61518 | mroeschke | 1 | Looks like numpy extended an error message that is failing `test_error_invalid_values` e.g https://github.com/pandas-dev/pandas/actions/runs/15331067593/job/43137707952 | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Merging to fix the failure on main"
] |
3,101,810,788 | 61,517 | BUG: Fix sorting by column named None in DataFrame.sort_values (GH#61512) | closed | 2025-05-30T00:57:45 | 2025-06-02T16:45:50 | 2025-06-02T16:45:44 | https://github.com/pandas-dev/pandas/pull/61517 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61517 | https://github.com/pandas-dev/pandas/pull/61517 | iabhi4 | 1 | Fixes a bug in `DataFrame.sort_values` where sorting by a column explicitly named None raised a `KeyError`. Added a conditional check to correctly retrieve and sort the column when `None` is used as a label.
- [x] closes #61512
- [x] Tests added and passed
- [x] All code checks passed via pre-commit
- [x] Added a... | [
"Algos"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @iabhi4 "
] |
3,101,600,757 | 61,516 | BUG: DataFrame.sample weights not required to sum to less than 1 | closed | 2025-05-29T22:14:58 | 2025-07-11T02:27:17 | 2025-07-11T02:27:16 | https://github.com/pandas-dev/pandas/issues/61516 | true | null | null | dougj892 | 16 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Algos"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. As named and documented, these are weights and not probabilities. pandas will normalize the sum to 1 so that they are used a probabilities. E.g. in your example, the corresponding probabilities are:\n\n 100 / (100 + 1 + 1), 1 / (100 + 1 + 1), 1 / (100 + 1 + 1)\n\nMarking as a closing cand... |
3,100,485,724 | 61,515 | ENH: Ability to name columns/index levels when using `.str.split(..., expand=True)` on `Index`/`Series` | open | 2025-05-29T14:11:53 | 2025-05-30T09:23:05 | null | https://github.com/pandas-dev/pandas/issues/61515 | true | null | null | nachomaiz | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
When using `.str.split(..., expand=True)`:
- On a `Series` the resulting dataframe columns are labeled with numbers by default
- On an `... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"What about `series.str.split(\"_\", expand=True).set_axis([\"A\", \"B\"], axis=1)`?",
"Ah, good point! Yes that would work as well and is less cumbersome than the `rename` method.\n\nI'd still think it would be worth having this functionality in `str.split`, but I agree the need-gap isn't as large as I thought.\... |
3,100,115,943 | 61,514 | BUGFIX: escape `quotechar` when `escapechar` is not None (even if quoting=csv.QUOTE_NONE) | closed | 2025-05-29T11:53:41 | 2025-05-30T16:36:50 | 2025-05-30T16:36:42 | https://github.com/pandas-dev/pandas/pull/61514 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61514 | https://github.com/pandas-dev/pandas/pull/61514 | KevsterAmp | 2 | - [x] closes #61407 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"IO CSV"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"CI errors looks unrelated",
"Thanks @KevsterAmp "
] |
3,099,904,854 | 61,513 | ENH: Adding pd.from_pydantic | open | 2025-05-29T10:34:29 | 2025-07-15T21:07:14 | null | https://github.com/pandas-dev/pandas/issues/61513 | true | null | null | JavierLopezT | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
There are a few methods to get a pandas DataFrame from a Pydantic model, but it will be just easier and more readable to not have any in... | [
"Enhancement",
"IO Data",
"Needs Triage"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,098,361,410 | 61,512 | BUG: Cannot sort by columns named None | closed | 2025-05-28T19:30:52 | 2025-06-02T16:45:45 | 2025-06-02T16:45:45 | https://github.com/pandas-dev/pandas/issues/61512 | true | null | null | zvun | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Indexing",
"Sorting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. In general I suspect you will have a bad time trying to use `None` in an index or columns. However as long as pandas allows it, we should strive to improve this behavior. Further investigations and PRs to fix are welcome.\n\nWith `future.infer_string = True`, this can now at least work. As p... |
3,098,321,760 | 61,511 | DOC: Docker image provided on "Debugging C extensions" is out of date | open | 2025-05-28T19:12:36 | 2025-06-02T22:26:24 | null | https://github.com/pandas-dev/pandas/issues/61511 | true | null | null | eicchen | 6 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/development/debugging_extensions.html
### Documentation problem
Docker image provided... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"cc @WillAyd ",
"I think we get very little usage of the docker containers, so unless someone cares to maintain we can just remove that documentation",
"I definitely think if we don't use the docker we should streamline/link to instructions for locally instaling cygdb, I think the article that @WillAyd wrote al... |
3,097,701,978 | 61,510 | BUG: VSCode go to definition doesn't work with pandas.api.extensions.register_dataframe_accessor | closed | 2025-05-28T15:04:19 | 2025-06-06T20:40:04 | 2025-06-02T16:27:31 | https://github.com/pandas-dev/pandas/issues/61510 | true | null | null | arnoldjames98 | 4 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Closing Candidate",
"Accessors"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Further investigations are certainly welcome. If there is an adjustment pandas can make to improve this functionality and it isn't a heavy code change, then a PR is welcome as well. However I do not think we should leave issues for supporting various IDEs on the queue for the long term if th... |
3,097,395,248 | 61,509 | BUG: margin for pivot_table is incorrect with NA column/index values | closed | 2025-05-28T13:26:06 | 2025-07-13T12:10:07 | 2025-07-13T12:10:06 | https://github.com/pandas-dev/pandas/issues/61509 | true | null | null | vtraag | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Missing-data",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Confirmed on main, further investigations and a PR to fix is welcome!\n\n Related: #53521 ",
"> Thanks for the report. Confirmed on main, further investigations and a PR to fix is welcome!\n\nHi @rhshadrach just raised a PR for this\n\nIt ensures `pivot_table(..., margins=True, dropna=Fals... |
3,096,897,913 | 61,508 | BUG: Fix inconsistent returned objects when applying groupby aggregations | closed | 2025-05-28T10:42:19 | 2025-06-25T12:02:17 | 2025-05-30T16:40:42 | https://github.com/pandas-dev/pandas/pull/61508 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61508 | https://github.com/pandas-dev/pandas/pull/61508 | arthurlw | 3 | - [x] closes #61503
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [
"Bug",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw, can you add a test that checks that the bug is indeed fixed. And a release note as well. Thank you! ",
"Thanks @arthurlw ",
"Thanks @arthurlw\r\n@mroeschke : is there any chance this could be added to an earlier release?\r\nI see there is a 2.3.1 milestone for example."
] |
3,095,297,276 | 61,507 | ENH: Implement to_iceberg | closed | 2025-05-27T21:35:59 | 2025-06-30T15:00:39 | 2025-06-09T18:18:25 | https://github.com/pandas-dev/pandas/pull/61507 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61507 | https://github.com/pandas-dev/pandas/pull/61507 | datapythonista | 1 | - [X] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [X] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [X] Added [type annotati... | [
"IO Data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Added the `append` parameter. I think it's a great addition, thanks for the feedback @IsaacWarren.\r\n\r\nI was thinking that for the parameters that receive PyIceberg objects, one option is to use a generic `**kwargs` like `to_parquet` does, that are sent to the engine (only PyIceberg so far). This wouldn't direc... |
3,095,115,520 | 61,506 | CLN Replace direct import of closing with qualified contextlib usage | closed | 2025-05-27T20:25:03 | 2025-05-28T00:22:44 | 2025-05-27T21:24:33 | https://github.com/pandas-dev/pandas/pull/61506 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61506 | https://github.com/pandas-dev/pandas/pull/61506 | mheguy | 1 | There were 4 uses of `contextlib.closing` and 2 of `closing`.
This PR converts the use of `closing` to `contextlib.closing` and removes the extra import statement. | [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @mheguy "
] |
3,094,496,975 | 61,505 | BUG: Mask changing value despite of no True return | closed | 2025-05-27T16:19:19 | 2025-05-27T16:42:12 | 2025-05-27T16:42:11 | https://github.com/pandas-dev/pandas/issues/61505 | true | null | null | frbelotto | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I think that my issue is similar to the [Issue 60729](https://github.com/pandas-dev/pandas/issues/60729)"
] |
3,094,178,259 | 61,504 | Use `TypeAlias` in code where types are declared | closed | 2025-05-27T14:36:54 | 2025-07-01T10:36:35 | 2025-07-01T10:35:58 | https://github.com/pandas-dev/pandas/pull/61504 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61504 | https://github.com/pandas-dev/pandas/pull/61504 | Dr-Irv | 2 | After introducing `TypeAlias` in `_typing.py`, goal of this PR is to use it in any other source files that are creating types in this way. ~~Also, make all of those types private.~~
I believe that I caught them all via some searching, but may have missed a few. Couldn't find a rule that enforces use of `TypeAlias`... | [
"Clean",
"Typing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@rhshadrach are we good to merge this?",
"Thanks @Dr-Irv "
] |
3,093,692,853 | 61,503 | BUG: Inconsistent returned objects when applying groupby aggregations | closed | 2025-05-27T12:05:42 | 2025-05-30T16:40:43 | 2025-05-30T16:40:43 | https://github.com/pandas-dev/pandas/issues/61503 | true | null | null | sylvainmouretfico | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I have explored the code a bit, and from what I can see, it would look like it would be required to update the following code in pandas/core/groupby/generic.py/SeriesGroupBy/aggregate:\n> if self.ngroups == 0:\n> # e.g. test_evaluate_with_empty_groups without any groups to\n> ... |
3,092,205,641 | 61,502 | BUG: Print alignement problem with some unicode characters | open | 2025-05-26T23:38:32 | 2025-05-29T00:08:58 | null | https://github.com/pandas-dev/pandas/issues/61502 | true | null | null | mhooreman | 4 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Unicode",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The misalignment seems to be happening because pandas calculates column widths using `len()` or `east_asian_width()`, which doesn’t really work well for emojis or other wide Unicode characters, they take up more space visually than you'd expect.\n\nI tried patching this locally by using [`wcwidth.wcswidth()`](http... |
3,092,028,044 | 61,501 | DOC: Fixes dangling parenthesis in `.rst` files | closed | 2025-05-26T20:42:44 | 2025-05-27T15:23:45 | 2025-05-27T15:23:03 | https://github.com/pandas-dev/pandas/pull/61501 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61501 | https://github.com/pandas-dev/pandas/pull/61501 | mattpopovich | 0 | - [ ] ~closes #xxxx (Replace xxxx with the GitHub issue number)~
- [ ] ~[Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature~
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,092,014,708 | 61,500 | DOC: use Hashable instead of label | closed | 2025-05-26T20:31:45 | 2025-05-27T17:35:07 | 2025-05-27T15:59:46 | https://github.com/pandas-dev/pandas/pull/61500 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61500 | https://github.com/pandas-dev/pandas/pull/61500 | cmp0xff | 1 | In https://github.com/pandas-dev/pandas/pull/61455#discussion_r2096069007:
> we should actually be using `Hashable` everywhere as since it's an actual Python type unlike `label`.
- <del>[ ] closes #xxxx (Replace xxxx with the GitHub issue number)</del>
- <del>[ ] [Tests added and passed](https://pandas.pydata.org/... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @cmp0xff "
] |
3,091,911,733 | 61,499 | ENH: Support Plugin Accessors Via Entry Points | open | 2025-05-26T19:12:20 | 2025-08-20T09:42:09 | null | https://github.com/pandas-dev/pandas/pull/61499 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61499 | https://github.com/pandas-dev/pandas/pull/61499 | PedroM4rques | 18 | TLDR: Allows external libraries to register accessors for pandas objects (DataFrame, Series, Index) using the 'pandas.<pd_objs>.accessor' entry point group. This enables plugins to be automatically used without explicit import.
I'm working on this PR collaboratively with @afonso-antunes .
- [X] closes #29076
- ... | [
"API Design"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Most of the errors are from:\r\n```from importlib_metadata import entry_points```",
"I'm personally happy to add this, but it's kind of a big change in terms of the code users can write. @pandas-dev/pandas-core, thoughts here?\r\n\r\nIf this moves forward, you'll want to fix the CI and add documentation for this... |
3,091,789,032 | 61,498 | ENH: Add `force_suffixes` boolean argument to `pd.merge` | open | 2025-05-26T17:59:35 | 2025-08-02T00:09:10 | null | https://github.com/pandas-dev/pandas/pull/61498 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61498 | https://github.com/pandas-dev/pandas/pull/61498 | kopytjuk | 13 | ## Motivation
Often, when working with wide (i.e. multiple columns) dataframes in exploratory, merging them leads to an even wider dataframe. Currently, the `suffixes` mechanism is only applied on *equally named* columns from both dataframes.
However, often developers alter the column names beforehand, or use sol... | [
"Enhancement",
"Reshaping",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hey @mroeschke, can you please take a look at my if the direction is right for you (i.e. you are OK with an additional argument) before I will fix the failing tests, linting errors and adjust the documentation. Ty in advance!",
"`merge` already has a quite complex signature, and what you are trying to solve here... |
3,091,724,576 | 61,497 | DOC: Typo in shared_docs | closed | 2025-05-26T17:15:34 | 2025-05-27T17:11:12 | 2025-05-27T16:00:16 | https://github.com/pandas-dev/pandas/pull/61497 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61497 | https://github.com/pandas-dev/pandas/pull/61497 | wjandrea | 1 | "regexs" → "regexes" | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
3,091,373,898 | 61,496 | BUG: Passing string[pyarrow] to the dtype parameter of e.g. csv_read() does produce a string type Series | open | 2025-05-26T14:21:07 | 2025-06-04T01:18:19 | null | https://github.com/pandas-dev/pandas/issues/61496 | true | null | null | ClauPet | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Dtype Conversions",
"IO CSV",
"Strings",
"Needs Discussion",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Looking at this again, I am sure this is not a bug. Sorry for causing confusion. What I got confused about boils down this example:\n\n```\nser = pd.Series([\"a\", \"b\"], dtype = \"string[pyarrow]\")\n\nser.dtypes\n# string[pyarrow]\n\nser\n# 0 a\n# 1 b\n# dtype: string\n```\n\nI had expected the ... |
3,090,615,206 | 61,495 | DOC: Fix sparse and dense array memory usage comparison. | closed | 2025-05-26T09:48:10 | 2025-05-26T17:03:31 | 2025-05-26T17:03:31 | https://github.com/pandas-dev/pandas/pull/61495 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61495 | https://github.com/pandas-dev/pandas/pull/61495 | JMRaczynski | 2 | This MR fixes misleading part of sparse user guide, which suggests that dataframes consume far less memory than they really do, due to wrong units calculation.
Also changed usage of `str.format()` to more modern f-string syntax in part of guide which was mentioned above. | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61495/"
] |
3,089,517,701 | 61,494 | DOC: kwargs naming in pd.Series.interpolate | closed | 2025-05-25T19:20:56 | 2025-05-25T19:23:36 | 2025-05-25T19:23:35 | https://github.com/pandas-dev/pandas/issues/61494 | true | null | null | loicdiridollou | 1 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.interpolate.html
### Documentation problem
Display... | [
"Docs",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Sorry looked at the wrong tag and not `main`. "
] |
3,089,252,154 | 61,493 | ENH: Supporting a `mapper` function as the 1st argument in `DataFrame.set_axis` | closed | 2025-05-25T12:02:15 | 2025-05-27T06:37:45 | 2025-05-27T06:37:44 | https://github.com/pandas-dev/pandas/issues/61493 | true | null | null | aallahyar | 3 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
At the moment, `DataFrame.set_axis()` only accepts `labels`:
```python
df = (
pd.DataFrame({'A': range(3), 'B': range(10, 13)})
... | [
"Enhancement",
"Needs Triage",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi @pandas-dev, I’d like to work on this enhancement to support a mapper in DataFrame.set_axis. Could you please assign #61493 to me?",
"@aallahyar Thanks for the request. This functionality already exists in [`df.rename`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename.html) if I understand... |
3,088,895,131 | 61,492 | DOC: Fix incorrect reST markups in What's new | closed | 2025-05-24T23:38:01 | 2025-05-26T23:46:43 | 2025-05-26T16:53:01 | https://github.com/pandas-dev/pandas/pull/61492 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61492 | https://github.com/pandas-dev/pandas/pull/61492 | koyuki7w | 4 | Fixed some markups so as to render HTML correctly. | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61492/",
"@datapythonista Thanks, I checked the document now renders correctly.",
"Thanks for the fixes @koyuki7w "
] |
3,088,592,217 | 61,491 | BUG: If you add _metadata to a custom subclass of Series, the sequence name is lost when indexing | open | 2025-05-24T16:39:14 | 2025-08-14T02:02:14 | null | https://github.com/pandas-dev/pandas/issues/61491 | true | null | null | vitalizzare | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"metadata",
"Needs Triage",
"Subclassing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I've found that a `Series` object has `_metadata = ['_name']` by default. This means that when manually defining `_metadata` in a custom `Series` subclass, we need to explicitly add `'_name'` to it as well. I couldn't find this information in the documentation. Maybe it should be mentioned here: https://pandas.pyd... |
3,088,468,341 | 61,490 | Fix GH-61477: Prevent spurious sort warning in concat with unorderable MultiIndex | closed | 2025-05-24T13:36:24 | 2025-06-02T16:53:43 | 2025-06-02T16:53:43 | https://github.com/pandas-dev/pandas/pull/61490 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61490 | https://github.com/pandas-dev/pandas/pull/61490 | Neer-Pathak | 1 | # Fix GH-61477: Stop Spurious Warning When `concat(..., sort=False)` on Mixed-Type `MultiIndex`
## Overview
When you do something like:
```python
pd.concat([df1, df2], axis=1, sort=False)
```
and your two DataFrames have MultiIndex columns that mix tuples and integers, pandas used to try to sort those label... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"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."
] |
3,088,304,844 | 61,489 | BUG: Raise on coercion of ambiguous datetime strings to datetime64 | closed | 2025-05-24T09:28:07 | 2025-05-25T06:46:11 | 2025-05-25T06:43:54 | https://github.com/pandas-dev/pandas/pull/61489 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61489 | https://github.com/pandas-dev/pandas/pull/61489 | iabhi4 | 2 | This PR addresses a bug where object-dtype arrays containing ambiguous datetime strings (e.g., `"12/01/2020"`, `"13/01/2020"`) were being silently coerced to `datetime64[ns]`, potentially resulting in inconsistent or unintended parsing.
- Introduced stricter input validation during coercion to detect and raise a `Va... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The `pre-commit` is currently failing due to the `unwanted-patterns-private-import-across-module` hook\r\n\r\nThis PR imports `_guess_datetime_format_for_array` from `pandas.core.tools.datetimes`, which is a private function.\r\nThere’s currently no public alternative that offers this functionality. specifically, ... |
3,088,219,656 | 61,488 | Backport PR #60739 on branch 2.3.x (ENH: pandas.api.interchange.from_dataframe now uses the Arrow PyCapsule Interface if available, only falling back to the Dataframe Interchange Protocol if that fails) | closed | 2025-05-24T07:37:43 | 2025-05-27T16:14:11 | 2025-05-27T16:10:36 | https://github.com/pandas-dev/pandas/pull/61488 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61488 | https://github.com/pandas-dev/pandas/pull/61488 | MarcoGorelli | 2 | OK to backport https://github.com/pandas-dev/pandas/pull/60739/files?
One thing to check is:
- #60739 has the release note in 3.0
- but if it gets backported, then the change will have happened in 2.3
So, not sure how to do this. Is it OK to backport, and then change the whatsnew note on `main`? | [
"Interchange"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @MarcoGorelli ",
"thanks! yup, will do soon"
] |
3,087,737,413 | 61,487 | Implemented NumbaExecutionEngine | open | 2025-05-23T23:51:56 | 2025-07-31T03:31:07 | null | https://github.com/pandas-dev/pandas/pull/61487 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61487 | https://github.com/pandas-dev/pandas/pull/61487 | arthurlw | 12 | - [ ] ~closes #xxxx (Replace xxxx with the GitHub issue number)~
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/c... | [
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi @datapythonista, I was seeing a CI error because Numba isn’t installed in the test environment, so I tried to guard against it using a try and catch method, but it seems not to work. Do you have any advice on how to move forward?",
"This is what we use for optional dependencies in tests: https://github.com/pa... |
3,087,635,011 | 61,486 | pandas logo license question | open | 2025-05-23T22:08:56 | 2025-05-26T18:01:58 | null | https://github.com/pandas-dev/pandas/issues/61486 | true | null | null | JoOkuma | 1 | Hi pandas developers,
I'm the process of the publishing a [paper](https://www.biorxiv.org/content/10.1101/2024.09.02.610652v1.full.pdf) which displays the pandas logo (Fig 1)
The journal requires a permission from the copyright owners or a permissive license to use the logo.
Is there anyone who could help us with tha... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I'm not a member of the project or a licensing expert, but FWIW, the project license is [BSD 3-Clause](https://github.com/pandas-dev/pandas/blob/main/LICENSE) and the logo is included in the project at [web/pandas/static/img](https://github.com/pandas-dev/pandas/tree/main/web/pandas/static/img) under `pandas.svg` ... |
3,087,447,487 | 61,485 | BUG: zfill with pyarrow string | open | 2025-05-23T20:18:19 | 2025-06-03T00:39:19 | null | https://github.com/pandas-dev/pandas/issues/61485 | true | null | null | williambdean | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Confirmed on main. `ArrowExtensionArray` doesn’t implement `_str_map`, so `.str.zfill` fails. PRs to add this support are welcome.\n\nThanks for raising this!",
"take",
"Just raised an upstream feature request in Arrow to support `utf8_zfill`, which would allow us to use a native compute kernel instead of fall... |
3,087,240,792 | 61,484 | BUG: Raise clear error for duplicate id_vars in melt (GH61475) | closed | 2025-05-23T18:46:55 | 2025-05-30T16:49:22 | 2025-05-30T16:43:55 | https://github.com/pandas-dev/pandas/pull/61484 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61484 | https://github.com/pandas-dev/pandas/pull/61484 | ZanirP | 1 | - [x] closes #61475
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ... | [
"Reshaping",
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @ZanirP "
] |
3,086,991,137 | 61,483 | BUG: date_range behaviour is inconsistent when using inclusive=right | open | 2025-05-23T17:03:09 | 2025-05-28T10:20:51 | null | https://github.com/pandas-dev/pandas/issues/61483 | true | null | null | sebastian-east | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Datetime",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"For your expected behavior regarding\n\n```python\nprint(pd.date_range(\"2025-01-01 00:05:00\", \"2025-01-01 00:10:00\", freq=\"10min\", inclusive=\"right\")) # 5min gap\n```\n\nIt should not return `DatetimeIndex(['2025-01-01 00:10:00'], dtype='datetime64[ns]', freq='10min')` because `00:10:00` is not generated (... |
3,086,721,221 | 61,482 | BUG: Raise error when filtering HDF5 with tz-aware index (GH#61479) | closed | 2025-05-23T15:13:54 | 2025-06-16T19:44:05 | 2025-06-16T19:44:04 | https://github.com/pandas-dev/pandas/pull/61482 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61482 | https://github.com/pandas-dev/pandas/pull/61482 | AnushaUKumar | 2 | This PR addresses a bug where applying a .select(where=...) query on an HDF5 store with a timezone-aware DatetimeIndex raised a confusing or incorrect error. Since tz-aware filtering isn't currently supported, we now raise a clear ValueError when such filtering is attempted.
What’s included:
-Adds a specific check ... | [
"IO HDF5",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@AnushaUKumar - the linked issue is not about timezones, did you perhaps get the number wrong?",
"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."
] |
3,084,708,724 | 61,481 | BUG: Fixed issue where rolling.kurt() calculations would be effected by values outside of scope | open | 2025-05-22T22:45:46 | 2025-07-26T00:09:01 | null | https://github.com/pandas-dev/pandas/pull/61481 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61481 | https://github.com/pandas-dev/pandas/pull/61481 | eicchen | 2 | - [x] closes #61416
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x]... | [
"Bug",
"Window",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke my PR hasn't been reviewed for a while now, just checking if it will be reviewed or if I should just close it.\r\n\r\n(sorry if it's a bother, I know you guys probably all have a lot on your plates and I didn't know who to ping)",
"This pull request is stale because it has been open for thirty days wi... |
3,083,980,753 | 61,480 | DOC: Fix formatting in indexing.rst | closed | 2025-05-22T16:45:47 | 2025-05-23T20:22:58 | 2025-05-22T17:40:26 | https://github.com/pandas-dev/pandas/pull/61480 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61480 | https://github.com/pandas-dev/pandas/pull/61480 | wjandrea | 1 | Don't use code formatting for non-code. To mention a term, use italics. | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
3,083,228,094 | 61,479 | BUG: read_hdf() doesn't handle datetime64[ms] properly | closed | 2025-05-22T12:34:28 | 2025-05-23T17:26:53 | 2025-05-23T17:26:53 | https://github.com/pandas-dev/pandas/issues/61479 | true | null | null | a-ma72 | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO HDF5",
"Needs Info",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. On main, I'm seeing that the correct output.\n\n```python\ndf = pd.DataFrame(\n {\n \"dates\": [\n pd.to_datetime(\"2025-05-21 18:44:22\"),\n pd.to_datetime(\"2025-05-21 19:12:42\"),\n ],\n \"tags\": [\n 12,\n 45,\n ]... |
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