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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,028,820,512 | 61,378 | DOC: update pandas cheat sheet with a third page (fixes #40680) | closed | 2025-04-29T15:47:54 | 2025-05-11T17:29:57 | 2025-05-11T17:29:57 | https://github.com/pandas-dev/pandas/pull/61378 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61378 | https://github.com/pandas-dev/pandas/pull/61378 | Shoestring42 | 4 | - [x] closes #40680
- [x] added 3rd page to the cheat sheet including more details on plotting, frequently used options, input/output formats and more.
- [x] added `.info()`, `.memory_usage()`, and `.dtypes()` to 'Summarize Data' on page 2 and rearranged the page to fill the gap left by the old plotting section.
| [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the feedback, this is my first time contributing to anything so thanks for being so constructive. I think I've addressed all the issues raised. Changes have been pushed so let me know if anything else needs updating!",
"Thanks again, I've updated the powerpoint according to the feedback, made the pdf ... |
3,028,562,270 | 61,377 | not able to see the content in the dark mode | closed | 2025-04-29T14:24:33 | 2025-04-30T16:21:59 | 2025-04-30T16:21:58 | https://github.com/pandas-dev/pandas/issues/61377 | true | null | null | preetlakra | 3 | <img width="1470" alt="Image" src="https://github.com/user-attachments/assets/1f676b75-6720-4a8a-9bc3-103ebe55e205" />
##issue in styling of the content line when turning on the dark mode. | [
"Docs",
"Duplicate Report"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Thanks for the report, this is a duplicate of https://github.com/pandas-dev/pandas/issues/60024",
"Closed by https://github.com/pandas-dev/pandas/pull/61379"
] |
3,028,532,570 | 61,376 | BUG: Series.dot for arrow and nullable dtypes returns object-dtyped series | closed | 2025-04-29T14:16:14 | 2025-04-29T16:21:11 | 2025-04-29T16:20:40 | https://github.com/pandas-dev/pandas/pull/61376 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61376 | https://github.com/pandas-dev/pandas/pull/61376 | theavey | 1 | fixes #61375 by porting DataFrame fix (from #54025 as reported in #53979)
- [x] closes #61375
- [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.... | [
"Numeric Operations",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @theavey "
] |
3,028,515,989 | 61,375 | BUG: dot on Arrow Series produces a Numpy object result | closed | 2025-04-29T14:11:39 | 2025-04-29T16:20:41 | 2025-04-29T16:20:41 | https://github.com/pandas-dev/pandas/issues/61375 | true | null | null | theavey | 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.
- [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 | [] |
3,027,960,213 | 61,374 | Percentile Scaling Data Transformation | closed | 2025-04-29T11:23:42 | 2025-04-29T16:23:41 | 2025-04-29T16:23:41 | https://github.com/pandas-dev/pandas/pull/61374 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61374 | https://github.com/pandas-dev/pandas/pull/61374 | sujan099 | 1 | This pull request adds a new data transformation utility called `percentile_scaling` to the `pandas/io/` module, which scales numerical data to a percentile-based range from 0 to 100. This transformation is useful for standardizing features in data preprocessing workflows, especially for ML pipelines or percentile-base... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but since there is no open issue associated with this PR that has also been triaged and accepted by the core team, we will not be moving forward with this feature so closing."
] |
3,027,838,985 | 61,373 | this is testing only | closed | 2025-04-29T10:35:03 | 2025-04-29T16:21:29 | 2025-04-29T16:21:29 | https://github.com/pandas-dev/pandas/pull/61373 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61373 | https://github.com/pandas-dev/pandas/pull/61373 | ManasasivaVasireedy | 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 | [] |
3,026,305,712 | 61,372 | Fix pyarrow comparison issue in array.py | closed | 2025-04-28T21:41:17 | 2025-05-19T16:17:14 | 2025-05-19T16:17:13 | https://github.com/pandas-dev/pandas/pull/61372 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61372 | https://github.com/pandas-dev/pandas/pull/61372 | AshleySonny | 1 | - [x] closes #60937
- [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... | [] | 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."
] |
3,025,592,843 | 61,371 | CI: Use Cython nightlies for Windows wheel builds again | closed | 2025-04-28T17:05:20 | 2025-04-28T18:17:52 | 2025-04-28T18:17:50 | https://github.com/pandas-dev/pandas/pull/61371 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61371 | https://github.com/pandas-dev/pandas/pull/61371 | mroeschke | 1 | Validated that the wheel tests should pass now from https://github.com/pandas-dev/pandas/pull/61354 | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The relevant wheel builds have passed again so merging"
] |
3,025,323,572 | 61,370 | ENH: Adding hint to to_sql | open | 2025-04-28T15:23:10 | 2025-07-15T21:06:30 | null | https://github.com/pandas-dev/pandas/issues/61370 | true | null | null | AliKayhanAtay | 0 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
It would be great if we able use hints with to_sql. Especially /*APPEND PARALLEL*/ hints greatly improves insert time in Oracle.
### Fe... | [
"Enhancement",
"IO SQL",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,024,500,784 | 61,369 | Bump pypa/cibuildwheel from 2.23.2 to 2.23.3 | closed | 2025-04-28T10:35:52 | 2025-04-28T17:41:39 | 2025-04-28T17:41:35 | https://github.com/pandas-dev/pandas/pull/61369 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61369 | https://github.com/pandas-dev/pandas/pull/61369 | dependabot[bot] | 0 | Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.23.2 to 2.23.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pypa/cibuildwheel/releases">pypa/cibuildwheel's releases</a>.</em></p>
<blockquote>
<h2>v2.23.3</h2>
<ul>
<li>🛠 Dependency updates, including... | [
"Build",
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,023,470,553 | 61,368 | BUG: Python 3.14 may not increment refcount | open | 2025-04-28T01:23:56 | 2025-08-16T08:38:34 | null | https://github.com/pandas-dev/pandas/issues/61368 | true | null | null | tacaswell | 17 | ### 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 Discussion",
"Warnings",
"Copy / view semantics"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! It sounds like we may need to disable these warnings for Python 3.14+ if the refcount cannot be relied upon.\n\ncc @jorisvandenbossche @phofl ",
"Since CoW is implemented using refcount, could there also be cases where we believe data is not being shared but it really is?",
">Since CoW i... |
3,023,304,057 | 61,367 | DOC: Add missing period in sample docstring | closed | 2025-04-27T20:25:31 | 2025-04-28T16:45:56 | 2025-04-28T16:45:43 | https://github.com/pandas-dev/pandas/pull/61367 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61367 | https://github.com/pandas-dev/pandas/pull/61367 | yanamis | 1 | - Minor documentation fix.
- Adds a missing period at the end of the "random_state" description in the `sample` function docstring.
- No functional changes.
- [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 | [
"Thanks @yanamis "
] |
3,023,219,572 | 61,366 | [minor edit] edit definitions of some parameters with correct idiomatic English for better legibility | closed | 2025-04-27T17:32:54 | 2025-04-28T16:39:33 | 2025-04-28T16:39:26 | https://github.com/pandas-dev/pandas/pull/61366 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61366 | https://github.com/pandas-dev/pandas/pull/61366 | kirisakow | 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/developme... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @kirisakow "
] |
3,023,173,793 | 61,365 | BUG: Constructing series with Timedelta object results in datetime series | open | 2025-04-27T16:06:33 | 2025-05-04T16:02:19 | null | https://github.com/pandas-dev/pandas/issues/61365 | true | null | null | Casper-Guo | 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",
"Timedelta",
"Constructors"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | [
"Thanks for opening this! Confirmed on main. I agree that the behavior feels a bit unintuitive. ",
"I did some investigating and found that for datetime-related types (datetime64, timedelta64, etc) with the value `pd.NaT`, pandas stores them all as `<class 'pandas._libs.tslibs.nattype.NaTType'>`. This makes it im... |
3,023,111,781 | 61,364 | BUG: groupby.groups with NA categories fails | closed | 2025-04-27T14:19:18 | 2025-04-28T20:30:58 | 2025-04-28T16:47:10 | https://github.com/pandas-dev/pandas/pull/61364 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61364 | https://github.com/pandas-dev/pandas/pull/61364 | rhshadrach | 1 | - [x] closes #61356 (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... | [
"Bug",
"Groupby",
"Missing-data",
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @rhshadrach "
] |
3,022,586,635 | 61,363 | DOC: Added constructor parameters to DateOffset docstring for API consistency #52431 | closed | 2025-04-27T02:11:58 | 2025-05-03T13:24:42 | 2025-05-03T13:24:42 | https://github.com/pandas-dev/pandas/pull/61363 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61363 | https://github.com/pandas-dev/pandas/pull/61363 | sainivas-99 | 1 | - Added the constructor signature for DateOffset.
- No functional changes were made, only documentation improvements.
- Part of the issue #52431 is addressed by this. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I'm a bit confused here, as the description of the PR doesn't match the changes. I'll be closing this, as the change here doesn't seem very useful. The issue you refer to is about documenting the parameters of the constructors of the mentioned classes, not adding an example of constructing the class. Also, the exa... |
3,022,360,085 | 61,362 | QST: best way to extend/subclass pandas.DataFrame | closed | 2025-04-26T22:17:25 | 2025-08-05T03:04:19 | 2025-08-05T03:04:18 | https://github.com/pandas-dev/pandas/issues/61362 | true | null | null | rwijtvliet | 2 | ### Research
- [x] I have searched the [[pandas] tag](https://stackoverflow.com/questions/tagged/pandas) on StackOverflow for similar questions.
- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
### Link to question on StackOverflow
https://stackoverflow.com/questions/7959... | [
"Usage Question",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> Behaves like a DataFrame... Is immutable\n\nThese two are in conflict, pandas is not designed to be immutable. At the very least, you'd have to workaround:\n\n- `__setitem__`, `.loc`, .`iloc`, `.at`, `.iat`\n- `.to_numpy()`, `.values`\n- Any method with an inplace argument\n- Any method which acts inplace (e.g. ... |
3,022,163,177 | 61,361 | REGR: Fix signature of GroupBy.expanding | closed | 2025-04-26T17:38:41 | 2025-04-27T11:29:30 | 2025-04-27T11:29:29 | https://github.com/pandas-dev/pandas/issues/61361 | true | null | null | rhshadrach | 4 | Ref: https://github.com/pandas-dev/pandas/pull/61352#discussion_r2060726723
#61352 replaced `*args` and `**kwargs` in the signature of `GroupBy.expanding`. However I believe further arguments need to be added. We could also revert the PR instead. | [
"Bug",
"Groupby",
"Regression",
"Blocker",
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for pointing this out! Just to confirm, which additional arguments do you think should be included in the signature/documentation?",
"From the old docstrings:\n\n> Arguments are the same as `:meth:DataFrame.rolling` except that ``step`` cannot be specified.\n\nI believe that's accurate, but we should conf... |
3,021,572,049 | 61,360 | ENH: magic_case() | closed | 2025-04-26T07:05:56 | 2025-04-26T18:11:40 | 2025-04-26T18:11:39 | https://github.com/pandas-dev/pandas/issues/61360 | true | null | null | VamsiAkella | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
we basically come up issue about not knowing the case of the column, we can print and view it but to make life little more easier I got ... | [
"Enhancement",
"Indexing",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the request. Your example implementation does not handle non-string columns as well as MultiIndex columns. In general, I do not think this rises to the level required for inclusion in the pandas API. Labeling as a closing candidate.",
"Agreed -1 for adding this in pandas. Thanks for the suggestion but... |
3,021,313,607 | 61,359 | BUG: Raise ValueError for non-string columns in read_json orient='table' (GH19129) | closed | 2025-04-26T01:10:10 | 2025-06-02T16:59:22 | 2025-06-02T16:59:22 | https://github.com/pandas-dev/pandas/pull/61359 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61359 | https://github.com/pandas-dev/pandas/pull/61359 | amoitra1 | 4 | - Closes #19129
- Adds validation to ensure all column names are strings when using orient='table' in read_json
- Raises a clear ValueError if invalid column names are found
- Adds a new unit test to pandas/tests/io/json/test_json_table_schema.py to cover the invalid input case
- Ran pytest and pre-commit hooks suc... | [
"Error Reporting",
"IO JSON",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"Hi, it seems there is already a PR #60945 addressing this issue.",
"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 t... |
3,021,283,667 | 61,358 | Improve documentation for MonthEnd and YearBegin offsets | closed | 2025-04-26T00:37:39 | 2025-05-03T13:20:16 | 2025-05-03T13:20:15 | https://github.com/pandas-dev/pandas/pull/61358 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61358 | https://github.com/pandas-dev/pandas/pull/61358 | SoumitAddanki | 1 | This pull request improves the documentation for two commonly used offset constructors in Pandas: MonthEnd and YearBegin.
Changes include:
Clarified the purpose and behavior of each offset class
Added runnable examples (doctest-compliant) to demonstrate usage
Improved parameter descriptions where necessary
... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks like something went wrong with this PR, it contains lots of unrelated changes. I think better to close this, as I think it'll be much simpler to open a new PR with the documentation changes than fixing this PR. Please, feel free to reopen for the intended work. I recommend using a new branch (not `main`) to ... |
3,021,192,275 | 61,357 | DOC: change `tuples` param for MultiIndex.from_tuples from sequence to iterable | open | 2025-04-25T23:07:36 | 2025-04-27T19:44:45 | null | https://github.com/pandas-dev/pandas/issues/61357 | true | null | null | yangdanny97 | 2 | ### 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/reference/api/pandas.MultiIndex.from_tuples.html#pandas.MultiIndex.from_tuples
The doc... | [
"Docs",
"MultiIndex",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> Could we loosen the type annotation in the docs to say iterable?\n\nI think no - the code raises on inputs that aren't list-like (pandas considers generators as list-like). Currently the code does not raise on sets, but I believe it should. I think the docs should be something like `list-like excluding sets` and... |
3,021,002,869 | 61,356 | BUG: `DataFrameGroupBy.groups` fails when Categorical indexer contains NaNs and `dropna=False` | closed | 2025-04-25T20:46:45 | 2025-04-28T16:47:11 | 2025-04-28T16:47:11 | https://github.com/pandas-dev/pandas/issues/61356 | true | null | null | tehunter | 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",
"Groupby",
"Missing-data",
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Confirmed on main. PR to fix is up."
] |
3,020,794,342 | 61,355 | DOC: Removed self-reference to `DataFrame.resample` in the "See also" section. | closed | 2025-04-25T18:51:16 | 2025-04-25T18:54:57 | 2025-04-25T18:54:56 | https://github.com/pandas-dev/pandas/pull/61355 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61355 | https://github.com/pandas-dev/pandas/pull/61355 | arthurlw | 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~
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Closing this. I realized that `DataFrame.resample` and `Series.resample` share the same docstring, so listing both in \"See also\" makes sense."
] |
3,020,557,314 | 61,354 | Test Cython divmod fix for Windows | closed | 2025-04-25T16:50:01 | 2025-04-25T17:16:37 | 2025-04-25T17:16:32 | https://github.com/pandas-dev/pandas/pull/61354 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61354 | https://github.com/pandas-dev/pandas/pull/61354 | mroeschke | 1 | https://github.com/cython/cython/pull/6801 should fix the issues we were seeing in https://github.com/pandas-dev/pandas/pull/61261, but this commit is not apart of the Cython nightly wheels yet. | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks like that Cython PR fixes the Windows build. Closing until we the Cython nighties are updated"
] |
3,020,552,781 | 61,353 | BUG: inserting list of strings into Series auto-infers them as datetimes with mixed formats | open | 2025-04-25T16:47:35 | 2025-05-24T10:23:40 | null | https://github.com/pandas-dev/pandas/issues/61353 | true | null | null | MarcoGorelli | 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.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Datetime"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"sorry how's that related?",
"It's not just with loc. \nsame results:\n\ndf = DataFrame({'a': ['12/01/2020', '13/01/2020']}, dtype='datetime64[ns]')\n\n0 2020-12-01\n1 2020-01-13",
"take",
"@MarcoGorelli Hey, I looked into this and the root issue seems to be that ambiguous datetime strings like `\"12/01/2020\... |
3,018,727,940 | 61,352 | DOC: Updated `groupby.expanding` arguments | closed | 2025-04-25T00:46:30 | 2025-04-27T11:30:09 | 2025-04-25T16:34:50 | https://github.com/pandas-dev/pandas/pull/61352 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61352 | https://github.com/pandas-dev/pandas/pull/61352 | arthurlw | 1 | - [ ] ~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... | [
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
3,018,442,108 | 61,351 | Add warning to `.groupby` when null keys would be dropped due to default `dropna` | closed | 2025-04-24T21:01:55 | 2025-05-27T16:18:07 | 2025-05-27T16:18:07 | https://github.com/pandas-dev/pandas/pull/61351 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61351 | https://github.com/pandas-dev/pandas/pull/61351 | tehunter | 2 | - [X] closes #61339
- [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]... | [
"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.",
"Thanks for the pull request, b... |
3,018,111,045 | 61,350 | ENH: th elements from Styler need the row scope | closed | 2025-04-24T18:23:37 | 2025-04-24T19:03:45 | 2025-04-24T19:03:21 | https://github.com/pandas-dev/pandas/issues/61350 | true | null | null | reteps | 1 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Currently, the pandas [Styler](https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.html) API can be used to crea... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Closing in favor of https://gitlab.com/html-validate/html-validate/-/issues/303."
] |
3,017,715,895 | 61,349 | TST: Testing for mixed int/str Index | closed | 2025-04-24T15:48:53 | 2025-06-30T18:20:47 | 2025-06-30T18:20:46 | https://github.com/pandas-dev/pandas/pull/61349 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61349 | https://github.com/pandas-dev/pandas/pull/61349 | xaris96 | 11 | - [x] closes #54072
- [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... | [
"Testing",
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@xaris96 Can you fix the broken tests and remove all your debug files from this PR please?",
"@datapythonista okay. no problem. i would like to ask about the pr. Do we need to fix the failed tests that already existed to pass the pr? we are new to this and need some guidance :)",
"I think the main idea of the ... |
3,017,657,606 | 61,348 | Mixed int string | closed | 2025-04-24T15:25:38 | 2025-05-04T21:04:42 | 2025-05-03T13:16:39 | https://github.com/pandas-dev/pandas/pull/61348 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61348 | https://github.com/pandas-dev/pandas/pull/61348 | xaris96 | 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 | [
"Feels like this was superseded by #61349. Please let me know if I missed something and there is a reason to reopen this PR.",
"@datapythonista yeah you are right. sorry for the mess its our first time!"
] |
3,017,123,734 | 61,347 | Request for guidance on issues for upcoming PyData Yerevan pandas sprint | closed | 2025-04-24T12:34:24 | 2025-08-24T13:12:29 | 2025-08-24T13:12:29 | https://github.com/pandas-dev/pandas/issues/61347 | true | null | null | surenpoghosian | 6 | Dear Pandas Team,
I am Suren Poghosyan, an Organizational Committee Member at PyData Yerevan. As you may already know, last summer we hosted an open-source contribution sprint focused on **pandas** library, in collaboration with Patrick Höfler, at the American University of Armenia.
We are currently planning to run ... | [
"Community"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@phofl can you take point on this?\n\nWhen is the sprint? i.e. when it is passed this becomes closable. ",
"@jbrockmendel we're aiming for August 15.",
"I've gathered the [issues](https://github.com/surenpoghosian/pydata-yerevan-sprint-2025/issues/1) in the following [repo](https://github.com/surenpoghosian/p... |
3,014,981,266 | 61,346 | BUG: assignment via loc silently fails with differing dtypes | closed | 2025-04-23T18:48:39 | 2025-04-26T16:51:19 | 2025-04-26T12:21:38 | https://github.com/pandas-dev/pandas/issues/61346 | true | null | null | zbs | 13 | ### 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",
"Dtype Conversions",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Confirmed on main. Still silently works when assigning differing dtypes to columns via `.loc` (in the example above, assigning strings to a `datetime64` column). \n\nIt seems to me that this should be raising an error, consistent with the behavior introduced for other dtype mismatches (e.g., int64 ← str, which now... |
3,014,950,760 | 61,345 | Update groupby().first() documentation to clarify behavior with missing data (#27578) | closed | 2025-04-23T18:39:31 | 2025-05-19T16:16:48 | 2025-05-19T16:16:47 | https://github.com/pandas-dev/pandas/pull/61345 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61345 | https://github.com/pandas-dev/pandas/pull/61345 | ericcht | 1 | This PR enhances the docstring for `GroupBy.first()` to clarify:
- It returns the first *non-null* value per column
- It differs from `.nth(0)` and `.head(1)` in how it treats missing values
- Includes comparative examples for better understanding
Fixes part of issue #27578
Ready for review. | [
"Docs",
"Groupby"
] | 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."
] |
3,014,914,579 | 61,344 | BUG: Series of bools with length mismatch does not raise when used with `.iloc` | closed | 2025-04-23T18:24:12 | 2025-04-24T20:20:23 | 2025-04-24T20:20:13 | https://github.com/pandas-dev/pandas/issues/61344 | true | null | null | arthurlw | 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pandas will align on the index when you provide a Series. This is expected behavior. Closing."
] |
3,013,699,081 | 61,343 | Fix #61072: inconsistent fullmatch results with regex alternation | closed | 2025-04-23T11:33:57 | 2025-06-30T18:29:35 | 2025-06-30T18:29:34 | https://github.com/pandas-dev/pandas/pull/61343 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61343 | https://github.com/pandas-dev/pandas/pull/61343 | Pedro-Santos04 | 2 | in PyArrow strings
Fixes an issue where regex patterns with alternation (|) produce different results between str dtype and string[pyarrow] dtype. When using patterns like "(as)|(as)", PyArrow implementation would incorrectly match "asdf" while Python's implementation correctly rejects it. The fix adds special handlin... | [
"Bug",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> I think this ends up using pyarrow's `match_substring_regex` function here; therefore, this would be a limitation of the pyarrow implementaiton and would need fixing there instead of pandas\r\n\r\nThanks for the feedback! I agree the issue stems from PyArrow’s match_substring_regex not enforcing full-string matc... |
3,013,322,994 | 61,342 | BUG: Concatenating data frames with `MultiIndex` with `datetime64[ms]` dtype introduces `NaT` values to the index | closed | 2025-04-23T09:29:06 | 2025-04-24T20:18:53 | 2025-04-24T20:18:43 | https://github.com/pandas-dev/pandas/issues/61342 | true | null | null | shchur | 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",
"Datetime",
"MultiIndex"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I'm seeing this is fixed on main. There are a number of improvements to datetimes coming in 3.0, so not surprising.\n\n```python\nprint(resample_each_item(\"datetime64[ms]\"))\n# target\n# timestamp \n# A 2023-01-15 42.0\n# 2023-01-16 NaN\n# 2023-01-17 3... |
3,012,466,982 | 61,341 | DOC Update link to "The Grammar of Graphics" book | closed | 2025-04-23T01:32:17 | 2025-04-23T01:47:49 | 2025-04-23T01:47:42 | https://github.com/pandas-dev/pandas/pull/61341 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61341 | https://github.com/pandas-dev/pandas/pull/61341 | star1327p | 1 | Update link to "The Grammar of Graphics" book.
https://doi.org/10.1007/0-387-28695-0
Original link does not work:
https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/d... | [
"Docs"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @star1327p "
] |
3,012,434,545 | 61,340 | BUG: Fixed issue with bar plots not stacking correctly when 'stacked' and 'subplots' are used together | closed | 2025-04-23T00:58:23 | 2025-04-28T20:10:37 | 2025-04-28T20:10:28 | https://github.com/pandas-dev/pandas/pull/61340 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61340 | https://github.com/pandas-dev/pandas/pull/61340 | eicchen | 1 | - [x] closes #61018
- [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]... | [
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @eicchen02 "
] |
3,011,459,524 | 61,339 | ENH: Add warning when `DataFrame.groupby` drops NA keys | open | 2025-04-22T15:40:59 | 2025-04-22T21:11:58 | null | https://github.com/pandas-dev/pandas/issues/61339 | true | null | null | tehunter | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Currently, pandas `DataFrame.groupby` will default to dropping NA values in any of the keys. In v1.1, a `dropna` argument was added whic... | [
"Enhancement",
"Groupby",
"Missing-data",
"Needs Discussion"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the request. I'm negative on:\n\n - Adding a warning when `dropna=True`. This is noisy, as far as pandas can tell the user is telling pandas to drop NA values, it should not warn when that happens.\n - Adding a global underride for `dropna`. That makes the behavior of pandas non-local: you can not look ... |
3,011,329,646 | 61,338 | BUG: Period datatype data gets mangled up in pivoting operation | closed | 2025-04-22T14:49:35 | 2025-04-22T16:01:10 | 2025-04-22T16:01:08 | https://github.com/pandas-dev/pandas/issues/61338 | true | null | null | RobertasA | 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 | [
"After further investigation I can see that the bug is actually in unstack and is duplicate of https://github.com/pandas-dev/pandas/issues/60980, already fixed in `main` but not released yet."
] |
3,010,682,898 | 61,337 | BUG: DataFrame.to_markdown exception when a cell has numpy.array type | open | 2025-04-22T10:40:03 | 2025-04-25T18:54:21 | null | https://github.com/pandas-dev/pandas/issues/61337 | true | null | null | omarsaad98 | 6 | ### 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 Data",
"Needs Discussion",
"Dependencies",
"Nested Data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report, confirmed on main. In general I think you will find little support in pandas for nested objects, and I do not think pandas should necessarily support such things in all operations. But if the fix here is simple, I'm positive on it. Further investigations and (simple :smile:) PRs to fix are w... |
3,010,189,907 | 61,336 | ENH: IDEA Introduce axis→0/axis→1 arrow aliases to disambiguate direction vs. label operations | closed | 2025-04-22T07:31:10 | 2025-05-18T06:21:52 | 2025-04-23T16:19:48 | https://github.com/pandas-dev/pandas/issues/61336 | true | null | null | withlionbuddha | 5 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
<ENG>
The `axis` parameter currently serves two distinct purposes:
1. *Along‑axis* operations that reduce or transform values (e.g. `ap... | [
"Enhancement",
"Needs Discussion",
"Closing Candidate"
] | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | [
"<ENG>\nSpeaking as a research developer who relies on pandas daily:\n\nMost “axis confusion” cases we see in internal code reviews stem from the dual meaning of `axis=0 / 1`.\nA symbolic alias such as `axis→0 / axis→1` instantly separates **direction** from **label**, benefitting not only experienced users but als... |
3,009,689,867 | 61,335 | ENH/TST: unset_index method #60869 | closed | 2025-04-22T02:34:40 | 2025-04-22T15:59:38 | 2025-04-22T15:59:38 | https://github.com/pandas-dev/pandas/pull/61335 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61335 | https://github.com/pandas-dev/pandas/pull/61335 | HoqueUM | 1 | - [x] closes #60869 (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/co... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but the linked issue has not been triaged yet and therefore a PR would be too early. Closing this PR, but I would suggest tackling issue that do not have the `needs triage` or `needs discussion` labels."
] |
3,009,494,674 | 61,334 | DOC: Updated `groupby.ewm` arguments | closed | 2025-04-21T23:35:26 | 2025-04-23T18:37:47 | 2025-04-22T15:56:52 | https://github.com/pandas-dev/pandas/pull/61334 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61334 | https://github.com/pandas-dev/pandas/pull/61334 | arthurlw | 1 | - [ ] ~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... | [
"Groupby",
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
3,009,380,832 | 61,333 | CI: Have dedicated Python 3.13 job instead of using Python dev | closed | 2025-04-21T21:58:26 | 2025-04-30T16:09:44 | 2025-04-30T16:09:41 | https://github.com/pandas-dev/pandas/pull/61333 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61333 | https://github.com/pandas-dev/pandas/pull/61333 | mroeschke | 1 | We've been testing Python 3.13 using the `Python dev` job. Since Python 3.13 has been available since last October, we should be able to test this version with a dedicated job with all of our optional dependencies.
Additionally, this new job caught an unclosed `sqlite3` engine, so modified some `test_sql.py` tests ... | [
"CI",
"Python 3.13"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Going to merge since green. Happy to follow up if needed"
] |
3,009,364,139 | 61,332 | CLN: Use newer numpy random Generator methods in plotting colors | closed | 2025-04-21T21:45:31 | 2025-04-30T16:08:51 | 2025-04-30T16:08:48 | https://github.com/pandas-dev/pandas/pull/61332 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61332 | https://github.com/pandas-dev/pandas/pull/61332 | mroeschke | 1 | Noticed in https://github.com/pandas-dev/pandas/pull/61330, replace a numpy legacy random method with a newer random Generator method (in addition to a cleanup) | [
"Visualization",
"Clean"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Going to merge since green. Happy to follow up if needed"
] |
3,008,950,460 | 61,331 | DEPS: Clean unused dependencies | closed | 2025-04-21T17:49:35 | 2025-05-08T16:24:30 | 2025-05-08T16:24:26 | https://github.com/pandas-dev/pandas/pull/61331 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61331 | https://github.com/pandas-dev/pandas/pull/61331 | mroeschke | 2 | * When installing pytables, it appears `blosc2` is generally a dependency now https://github.com/PyTables/PyTables/blob/9afcc380d93192460e7badd1baf568592cadad26/pyproject.toml#L78
* I don't think we use `google-auth` or `gitdb` anywhere now | [
"Build",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks good, I guess xarray was pinned to not allow the latest versions because of the test failures in the CI.\r\n\r\n@shoyer @FrancescAlted if you have any comment here...",
"Since this PR is green, going to merge. Happy to follow up if needed"
] |
3,008,889,780 | 61,330 | TYP: Remove unused mypy ignores | closed | 2025-04-21T17:15:37 | 2025-04-21T20:47:15 | 2025-04-21T20:47:12 | https://github.com/pandas-dev/pandas/pull/61330 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61330 | https://github.com/pandas-dev/pandas/pull/61330 | mroeschke | 1 | Failing on main. Maybe unneeded due to a numpy update. | [
"Typing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Seems like the timeouts are unrelated here, so going to merge to get to green"
] |
3,008,586,493 | 61,329 | Remove WillAyd from CODEOWNERS | closed | 2025-04-21T14:48:02 | 2025-04-21T15:46:38 | 2025-04-21T15:45:50 | https://github.com/pandas-dev/pandas/pull/61329 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61329 | https://github.com/pandas-dev/pandas/pull/61329 | WillAyd | 1 | This was well intentioned but I do not follow every change to _libs, and this ends up creating more notifications than I follow | [
"Admin"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @WillAyd "
] |
3,008,583,143 | 61,328 | BUG: pre-commit version 4.0.0 is required | open | 2025-04-21T14:46:27 | 2025-06-29T15:59:08 | null | https://github.com/pandas-dev/pandas/issues/61328 | true | null | null | WillAyd | 12 | ### 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... | [
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"We don't really advertise/support creating development environments from apt packages so I'm a little hesitant wanting to support that use case. Is there a reason you need to use pre-commit from apt?",
"Do you think it should be pip installed by the system installed Python instead? On Debian you are discouraged ... |
3,008,507,297 | 61,327 | ENH/TST: grep-like select columns of a DataFrame by a part of their names (fixes #61319) | closed | 2025-04-21T14:13:39 | 2025-04-21T14:50:04 | 2025-04-21T14:50:04 | https://github.com/pandas-dev/pandas/pull/61327 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61327 | https://github.com/pandas-dev/pandas/pull/61327 | HoqueUM | 0 | - [ ] closes #61319(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 | [] |
3,008,415,286 | 61,326 | ENH/TST: grep-like select columns of a DataFrame by a part of their names (fixes #61319) | closed | 2025-04-21T13:26:21 | 2025-04-21T13:29:54 | 2025-04-21T13:29:53 | https://github.com/pandas-dev/pandas/pull/61326 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61326 | https://github.com/pandas-dev/pandas/pull/61326 | HoqueUM | 0 | - [ ] closes #61319 (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... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,008,414,891 | 61,325 | add test case for mixed string and int | closed | 2025-04-21T13:26:08 | 2025-05-09T16:08:27 | 2025-05-09T16:08:27 | https://github.com/pandas-dev/pandas/pull/61325 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61325 | https://github.com/pandas-dev/pandas/pull/61325 | spd123 | 1 | - [ ] closes #54072 (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... | [] | 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."
] |
3,008,401,200 | 61,324 | ENH/TST: grep-like select columns of a DataFrame by a part of their names (fixes #61319) | closed | 2025-04-21T13:18:23 | 2025-04-21T13:24:23 | 2025-04-21T13:24:23 | https://github.com/pandas-dev/pandas/pull/61324 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61324 | https://github.com/pandas-dev/pandas/pull/61324 | HoqueUM | 0 | - [x] closes #61319(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/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,007,590,629 | 61,323 | BUG: to_dict(orient='dict') does not convert np.nan to None in Pandas 2.2.3 | open | 2025-04-21T05:21:40 | 2025-04-24T20:16:13 | null | https://github.com/pandas-dev/pandas/issues/61323 | true | null | null | uyauhkk01 | 1 | ### Pandas version checks
- [ ] I have checked that this issue has not already been reported.
- [ ] 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 Data",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Why would you expect pandas to convert `np.nan` to `None` here?"
] |
3,007,155,383 | 61,322 | BUG: memory issues with `string[pyarrow]` after sorted `pd.merge` | open | 2025-04-20T18:16:32 | 2025-04-22T21:35:01 | null | https://github.com/pandas-dev/pandas/issues/61322 | true | null | null | noahblakesmith | 5 | ### 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",
"Closing Candidate",
"Upstream issue",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"take",
"take",
"take",
"I'm seeing similar behavior as the other issue: https://github.com/pandas-dev/pandas/issues/61316#issuecomment-2822528900"
] |
3,007,129,581 | 61,321 | Fix: AttributeError when using .iloc with pyarrow-backed Series in Pandas #61311 | closed | 2025-04-20T17:15:13 | 2025-07-08T18:32:42 | 2025-05-09T16:07:23 | https://github.com/pandas-dev/pandas/pull/61321 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61321 | https://github.com/pandas-dev/pandas/pull/61321 | Shyanil | 1 | fix : #61311
### Solution:
The problem arises when the code tries to access `.max()` and `.min()` on `ArrowExtensionArray`. To fix this, we can replace `.max()` and `.min()` with `np.max()` and `np.min()`, which can handle these arrays correctly.
Here is the modification to be made:
```python
# check that the ... | [] | 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."
] |
3,007,048,652 | 61,320 | PERF: Restore old performances with .isin() on columns typed as np.ui… | closed | 2025-04-20T14:24:36 | 2025-05-19T16:14:54 | 2025-05-19T16:14:47 | https://github.com/pandas-dev/pandas/pull/61320 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61320 | https://github.com/pandas-dev/pandas/pull/61320 | pbrochart | 3 | …nt64
- [ ] closes #60098 (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/devel... | [
"Performance",
"Regression",
"isin"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"Implicit conversion to float64 happens only whith uint64/int64.\r\nI reverted the PR #46693 to provide an example based on initial issue #46485:\r\n\r\n```\r\nimport pandas as pd\r\nimport numpy as np\r\ntest_df = pd.DataFrame([{'a': 1378774140726870442}], dtype=np.uint64)\r\n\r\nprint(1... |
3,007,041,632 | 61,319 | ENH: grep-like select columns of a DataFrame by a part of their names | closed | 2025-04-20T14:10:10 | 2025-04-21T15:49:28 | 2025-04-21T15:49:27 | https://github.com/pandas-dev/pandas/issues/61319 | true | null | null | kirisakow | 3 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I wish I could grep-like select columns of a DataFrame by a part of their names, and return a subset of the original DataFrame containin... | [
"Enhancement",
"Indexing",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@kirisakow does [DataFrame.filter](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.filter.html) satisfy your use case?\n```\ndf_new = df.filter(like=substr)\n```",
"Filter is one way to do this. You could also pass a callable that takes in a dataframe, and returns the columns you care about, to `__... |
3,006,986,859 | 61,318 | ENH: inspect duplicate rows for columns that vary | closed | 2025-04-20T12:11:06 | 2025-04-21T15:50:37 | 2025-04-21T15:50:36 | https://github.com/pandas-dev/pandas/issues/61318 | true | null | null | kirisakow | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I wish I had a function that would inspect a DataFrame that has duplicate values and yield, per each group of rows that have a duplicate... | [
"Enhancement",
"Groupby",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This doesn't look like a general enough use case to add it to the pandas API. As a result, I'm -1 on this.\nYou can achieve something like this using `.groupby().apply()` and a custom lambda function.",
"Agreed, there are primitive APIs, as you demonstrate, that allows this functionality without having to mainta... |
3,006,956,714 | 61,317 | ENH: Make DataFrame.filter accept filters in new formats | open | 2025-04-20T11:05:24 | 2025-05-27T21:56:41 | null | https://github.com/pandas-dev/pandas/issues/61317 | true | null | null | datapythonista | 20 | I think it'd be very nice for users to get this working regarding [filter](https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.filter.html):
```python
df.filter(df["age"] > 18) # same as `df[df["age"] > 18`
df.filter("age > 18") # same as `df.query("age > 18")`, I think `.query` should be deprecated i... | [
"Needs Discussion",
"Filters"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Partial proposal:\n\n - Accept `items` (will maybe want to rename this argument?) of type:\n - Series (will align on index)\n - Non-Series list-likes (must be same length as df)\n - strings a la `query`\n - UDFs to be discussed.\n - Deprecate `like`, `regex`; offer no alternatives.\n - Depreca... |
3,006,803,729 | 61,316 | BUG: `.to_parquet` fails with `schema` for `string[pyarrow]` but not `string[python]` | open | 2025-04-20T04:47:56 | 2025-04-22T21:32:11 | null | https://github.com/pandas-dev/pandas/issues/61316 | true | null | null | noahblakesmith | 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",
"Closing Candidate",
"Upstream issue",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. It seems to me this might be a pyarrow issue.\n\n```python\ntxt = \"\".join(random.choices(string.printable, k=int(1e6)))\n\n# Gen dataframes\ndata = {\"c\": [txt] * int(5e3)}\ndf_v0 = pd.DataFrame(data, dtype=\"string[python]\")\ndf_v1 = pd.DataFrame(data, dtype=\"string[pyarrow]\")\n\ntype... |
3,006,767,854 | 61,315 | DOC: Add missing punctuation to merging.rst | closed | 2025-04-20T02:51:59 | 2025-04-21T15:46:38 | 2025-04-21T15:46:30 | https://github.com/pandas-dev/pandas/pull/61315 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61315 | https://github.com/pandas-dev/pandas/pull/61315 | star1327p | 3 | Add missing punctuation to ``merging.rst``.
- [ ] 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://pa... | [
"Docs",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61315/",
"Thanks @star1327p "
] |
3,006,704,163 | 61,314 | [minor edit] fix typo: psudocode -> pseudocode | closed | 2025-04-19T23:28:30 | 2025-04-21T15:47:05 | 2025-04-21T15:46:59 | https://github.com/pandas-dev/pandas/pull/61314 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61314 | https://github.com/pandas-dev/pandas/pull/61314 | kirisakow | 1 | this PR fixes this typo spotted here:
https://github.com/pandas-dev/pandas/blob/a811388727bb0640528962191b0f4e50d8235cfd/.github/ISSUE_TEMPLATE/feature_request.yaml#L34
<!--
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/de... | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @kirisakow "
] |
3,006,698,990 | 61,313 | [ canceled PR ] | closed | 2025-04-19T23:11:04 | 2025-04-19T23:22:51 | 2025-04-19T23:18:47 | https://github.com/pandas-dev/pandas/pull/61313 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61313 | https://github.com/pandas-dev/pandas/pull/61313 | kirisakow | 0 | this PR fixes this typo spotted here:
https://github.com/pandas-dev/pandas/blob/a811388727bb0640528962191b0f4e50d8235cfd/.github/ISSUE_TEMPLATE/feature_request.yaml?plain=1#L34
<!--
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-doc... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,006,638,852 | 61,312 | BUG: duplicated() is reporting rows as duplicates when they aren't upon visual inspection. | closed | 2025-04-19T20:18:24 | 2025-04-19T21:02:04 | 2025-04-19T21:02:03 | https://github.com/pandas-dev/pandas/issues/61312 | true | null | null | nvd2291 | 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",
"Needs Triage",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I think you are misunderstanding what `df.duplicated()` / `df.duplicated(keep='first')` does.\n\nIf rows 2, 3 and 4 are identical, then `df.duplicated()` will return `False` for row 2 and `True` for rows 3 and 4. So using a boolean index on the original dataframe would only contain rows 3 an... |
3,006,611,118 | 61,311 | BUG: ``'ArrowExtensionArray' object has no attribute 'max'`` when passing pyarrow-backed series to `.iloc` | closed | 2025-04-19T19:08:44 | 2025-08-05T17:21:49 | 2025-08-05T17:21:49 | https://github.com/pandas-dev/pandas/issues/61311 | true | null | null | MarcoGorelli | 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",
"Arrow"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,006,338,577 | 61,310 | BUG: no last function in window rolling | closed | 2025-04-19T10:00:37 | 2025-04-21T02:52:27 | 2025-04-21T02:52:26 | https://github.com/pandas-dev/pandas/issues/61310 | true | null | null | algonell | 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 Info",
"Window",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | [
"@algonell Are you testing this on the main branch? I can reproduce the code snippet from the documentation and obtain the correct result on the main branch.",
"@chilin0525 My bad, I am not testing main/latest.",
"@algonell The `first` and `last` methods were recently added to rolling (#60579). They will be ava... |
3,006,331,148 | 61,309 | BUG: to_latex, when escaped=True, doesn't escape columns name | closed | 2025-04-19T09:43:14 | 2025-04-19T12:37:19 | 2025-04-19T12:37:13 | https://github.com/pandas-dev/pandas/issues/61309 | true | null | null | lucian-student | 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.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Duplicate Report",
"Styler"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Providing a reproducible result on the main branch for both `escape=True` and `escape=False`:\n* `escape=True`:\n ```\n \\begin{tabular}{ll}\n \\toprule\n hello_world & hello \\\\\n \\midrule\n 0 & world \\\\\n \\bottomrule\n \\end{tabular}\n ```\n* `escape=False`:\n ```\n \\begin{tabular}{ll}\n \\topr... |
3,006,317,345 | 61,308 | ENH: Add tzdata to hard dependencies | closed | 2025-04-19T09:10:48 | 2025-04-22T16:04:29 | 2025-04-22T16:04:22 | https://github.com/pandas-dev/pandas/pull/61308 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61308 | https://github.com/pandas-dev/pandas/pull/61308 | chilin0525 | 1 | - [x] closes #61273
- [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]... | [
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @chilin0525 "
] |
3,006,307,360 | 61,307 | EHN: `df.to_latex(escape=True)` also escape index names | closed | 2025-04-19T08:50:21 | 2025-04-28T16:58:49 | 2025-04-28T16:58:41 | https://github.com/pandas-dev/pandas/pull/61307 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61307 | https://github.com/pandas-dev/pandas/pull/61307 | quangngd | 2 | - [ ] closes #57362 (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/co... | [
"Bug",
"IO LaTeX",
"Styler"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"cc @attack68 as the codeowner of styler",
"Thanks @quangngd "
] |
3,003,688,955 | 61,306 | ENH: Add read_dbf method | open | 2025-04-18T00:56:40 | 2025-07-15T20:11:01 | null | https://github.com/pandas-dev/pandas/issues/61306 | true | null | null | cgarciga | 6 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
See: https://stackoverflow.com/questions/41898561/pandas-transform-a-dbf-table-into-a-dataframe
### Feature Description
Add `read_dbf`... | [
"Enhancement",
"IO Data",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Could I be assigned to this issue? Thanks",
"@Allan0820 You can assign to yourself by leaving a `take` comment.",
"take",
"take",
"hey @sajmaru im already working on it"
] |
3,003,688,791 | 61,305 | 50000 | closed | 2025-04-18T00:56:25 | 2025-04-18T16:10:01 | 2025-04-18T16:10:01 | https://github.com/pandas-dev/pandas/issues/61305 | true | null | null | hhhh3113 | 0 | null | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,003,375,577 | 61,304 | ENH: Add Optional Schema Definitions to Enable IDE Autocompletion | closed | 2025-04-17T20:23:14 | 2025-04-17T20:56:32 | 2025-04-17T20:56:31 | https://github.com/pandas-dev/pandas/issues/61304 | true | null | null | YoniChechik | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Pandas is widely used in data-heavy workflows, and in many cases, the structure of a DataFrame is known in advance — especially when loa... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the suggestion. I think this feature request is more appropriate for pandas stubs so I would suggest opening an issue in that repo https://github.com/pandas-dev/pandas-stubs"
] |
3,003,117,809 | 61,303 | BUG: NA are coerced in to NaN by concat | open | 2025-04-17T17:51:31 | 2025-04-19T12:29:06 | null | https://github.com/pandas-dev/pandas/issues/61303 | true | null | null | davetapley | 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.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Missing-data",
"Reshaping",
"Dtype Conversions",
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I found these related, but none address this specific case:\n\n- https://github.com/pandas-dev/pandas/issues/45637\n- https://github.com/pandas-dev/pandas/issues/46922\n- https://github.com/pandas-dev/pandas/pull/47372",
"Thanks for raising this! Confirmed on main. This happens because `DataFrame.from_dict({'na'... |
3,002,720,511 | 61,302 | Fix #59772: tz_aware NaT raises exception on to_numpy | closed | 2025-04-17T14:46:13 | 2025-05-09T16:06:16 | 2025-05-09T16:06:15 | https://github.com/pandas-dev/pandas/pull/61302 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61302 | https://github.com/pandas-dev/pandas/pull/61302 | tomasmacieira | 1 | Fix error when converting tz-aware Series with NaT to NumPy array
- [x] closes #59772
- [x] [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.
- [x] Added an entry in the latest doc/source/whatsnew/vX... | [] | 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."
] |
3,001,170,908 | 61,301 | DOC: Fix documentation for DataFrameGroupBy.filter and SeriesGroupBy.filter | closed | 2025-04-17T01:57:12 | 2025-04-17T04:32:42 | 2025-04-17T04:32:42 | https://github.com/pandas-dev/pandas/pull/61301 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61301 | https://github.com/pandas-dev/pandas/pull/61301 | adamreeve | 0 | - [x] closes #61300
- [ ] ~~[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).
-... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,001,147,839 | 61,300 | DOC: DataFrameGroupBy.filter documentation is misleading | closed | 2025-04-17T01:35:00 | 2025-04-17T04:34:39 | 2025-04-17T04:34:38 | https://github.com/pandas-dev/pandas/issues/61300 | true | null | null | adamreeve | 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/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html and https://pandas.pydat... | [
"Docs",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"After looking at this again, I think the documentation does make sense but I was misinterpreting it. This does filter out rows/elements rather than whole groups, but it filters rows based on a criterion that applies to the whole group rather than to rows within the group."
] |
3,000,184,974 | 61,299 | DOC: copyedit _base.py | closed | 2025-04-16T16:37:48 | 2025-04-17T18:07:23 | 2025-04-16T20:41:28 | https://github.com/pandas-dev/pandas/pull/61299 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61299 | https://github.com/pandas-dev/pandas/pull/61299 | wjandrea | 1 | No need to restate the library name
- ~~[ ] 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://pa... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
2,998,393,374 | 61,298 | I would like to join the pandas community, but the Slack link is broken and I cannot join. | closed | 2025-04-16T05:05:35 | 2025-04-17T16:11:22 | 2025-04-17T16:11:22 | https://github.com/pandas-dev/pandas/issues/61298 | true | null | null | atsushi196323 | 3 | I would like to join the pandas community on Slack, so I would appreciate if you could provide me with a new invitation link. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @atsushi196323 for your interest.\n\nsomeone from the Contributor Community Team should be able to help with your request.\n\ncc @rhshadrach @jorisvandenbossche @noatamir ",
"@atsushi196323 The Slack link is available [here](https://join.slack.com/t/pandas-dev-community/shared_invite/zt-2blg6u9k3-K6_XvMR... |
2,998,204,470 | 61,297 | BUG: Raise clear error when assign is used with non-string column keys | closed | 2025-04-16T03:02:15 | 2025-04-16T16:08:03 | 2025-04-16T16:08:03 | https://github.com/pandas-dev/pandas/pull/61297 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61297 | https://github.com/pandas-dev/pandas/pull/61297 | AnushaUKumar | 1 | ### What does this PR do?
Fixes confusing behavior when `.assign()` is used with non-string keys like tuples. Python raises a generic `TypeError: keywords must be strings`, which confuses users.
This PR adds a more helpful message:
> assign() only supports string column names. Use df[('C', 'one')] = ... to assig... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but it appears there a lot of changes in unrelated files. Going to close this PR, but ensure that pull requests are made from the latest commit on main"
] |
2,997,926,068 | 61,296 | BUG: Underscores aren't escaped in LaTeX outputs | closed | 2025-04-15T23:52:45 | 2025-04-15T23:55:11 | 2025-04-15T23:55:10 | https://github.com/pandas-dev/pandas/issues/61296 | true | null | null | gtkacz | 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 found the `escape` bool keyword on the `to_latex` method, which fixes this. This should be enabled by default though."
] |
2,997,798,963 | 61,295 | BUG: df.assign no longer works with multilevel columns | closed | 2025-04-15T22:38:25 | 2025-04-16T13:40:52 | 2025-04-16T13:40:29 | https://github.com/pandas-dev/pandas/issues/61295 | true | null | null | Zendaug | 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.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is a python limitation. You're using tuple unpacking to pass in arguments to a function. Function argument names have to be valid variable names. https://stackoverflow.com/questions/65392503/keyword-error-generated-when-passing-a-dictionary-to-a-function-with-tuples-as-t",
"Thanks for raising this! The `ass... |
2,997,386,095 | 61,294 | BUG: join unexpectedly created extra column start with "key_" | open | 2025-04-15T19:25:06 | 2025-08-22T00:40:01 | null | https://github.com/pandas-dev/pandas/issues/61294 | true | null | null | albb318 | 13 | ### 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",
"Reshaping",
"Deprecate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This seems to be the expected behavior if you look at the [documentation examples](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html). Moreover, it seems it is why we pass lsuffix and rsuffix. Please let me know if I am missing somthing.",
"In this case the \"key_0\" columns seems redundant... |
2,997,194,301 | 61,293 | BUG: pivot_table with overlapping values | closed | 2025-04-15T17:56:43 | 2025-04-23T22:58:54 | 2025-04-23T21:47:17 | https://github.com/pandas-dev/pandas/pull/61293 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61293 | https://github.com/pandas-dev/pandas/pull/61293 | it176131 | 6 | - [x] closes #57876
- [x] closes #61292
- [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.htm... | [
"Bug",
"Reshaping"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Should I update the `doc/source/whatsnew/v2.3.0.rst` or `doc/source/whatsnew/v3.0.0.rst` file?",
"@it176131 - update v3.0.0. Also due to an erroneous commit with a large file, we've had to force-push to the main branch recently. You'll need to fix this up by removing the erroneous commit from your history as wel... |
2,996,968,254 | 61,292 | BUG: `values` argument ignored when also supplied to `index`/`columns` in `pivot_table` | closed | 2025-04-15T16:18:14 | 2025-04-23T21:47:19 | 2025-04-23T21:47:19 | https://github.com/pandas-dev/pandas/issues/61292 | true | null | null | it176131 | 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.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,995,166,299 | 61,291 | BUG: reindex (and atleast several other methods) do not respect fill_value=None | open | 2025-04-15T05:24:25 | 2025-04-16T13:27:14 | null | https://github.com/pandas-dev/pandas/issues/61291 | true | null | null | TimAllen576 | 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",
"Missing-data",
"Needs Discussion",
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I expect this to be a part of [PDEP-16](https://github.com/pandas-dev/pandas/pull/58988) when the proposal is finished. Namely, I think with switching over to `pd.NA` as the NA value across dtypes, we can then treat `None` as just the Python object it is and not an NA value for non-object dt... |
2,994,511,655 | 61,290 | ENH: read_xml() does not allow to specify huge_tree=True for the 'lxml' parser. | open | 2025-04-14T23:25:47 | 2025-07-06T15:52:30 | null | https://github.com/pandas-dev/pandas/issues/61290 | true | null | null | sergiykhan | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
`read_xml()` fails with the error message `XMLSyntaxError: xmlSAX2Characters: huge text node`.
A similar problem can be overcome when m... | [
"Enhancement",
"IO XML"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thank you for your report. My thought is that `read_xml` provides a convenience method to parse shallow, flatter XML to DataFrames. And since XML is an open-ended type that can range in dimensions and DataFrames require the two-dimension types, `read_xml` is not meant to cover exceptional cases like you point out.... |
2,993,032,883 | 61,289 | WEB: Update benchmarks page | closed | 2025-04-14T13:10:24 | 2025-04-19T12:12:34 | 2025-04-19T11:47:47 | https://github.com/pandas-dev/pandas/pull/61289 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61289 | https://github.com/pandas-dev/pandas/pull/61289 | rhshadrach | 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... | [
"Benchmark",
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@datapythonista This is ready for another look."
] |
2,992,890,289 | 61,288 | BUG: Fix #46726; wrong result with varying window size min/max rolling calc. | closed | 2025-04-14T12:15:42 | 2025-04-25T20:28:31 | 2025-04-25T20:28:19 | https://github.com/pandas-dev/pandas/pull/61288 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61288 | https://github.com/pandas-dev/pandas/pull/61288 | viable-alternative | 3 | - [x] closes #46726
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests)
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pand... | [
"Bug",
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke, all done!\r\nEdited my original comment to reflect what is actually being done. Thx!\r\n(CI is still in progress. I will fix ti up if anything fails.)",
"Thank you for the thoughtful review. Give me some time (hopefully under a week) to read up on PEP8 and address other comments. Thanks for the helpf... |
2,992,569,954 | 61,287 | PERF: Restore old performances with .isin() on columns typed as np.ui… | closed | 2025-04-14T10:07:07 | 2025-04-14T18:44:21 | 2025-04-14T18:44:21 | https://github.com/pandas-dev/pandas/pull/61287 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61287 | https://github.com/pandas-dev/pandas/pull/61287 | pbrochart | 0 | …nt64
- [ ] closes #60098 (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/devel... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,992,400,724 | 61,286 | ENH: Update DataFrame.to_stata to handle pd.NA and None values in strL columns | closed | 2025-04-14T09:08:20 | 2025-04-23T08:17:34 | 2025-04-22T16:02:29 | https://github.com/pandas-dev/pandas/pull/61286 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61286 | https://github.com/pandas-dev/pandas/pull/61286 | Danferno | 1 | - [x] closes #23633 (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... | [
"IO Stata"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Danferno "
] |
2,992,092,293 | 61,285 | DOC: Improve clarity and beginner-friendly tone in table tutorial | closed | 2025-04-14T07:04:32 | 2025-04-14T19:02:13 | 2025-04-14T16:53:24 | https://github.com/pandas-dev/pandas/pull/61285 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61285 | https://github.com/pandas-dev/pandas/pull/61285 | VenkataSiriPriya | 1 | This PR makes small improvements to the 01_table_oriented.rst tutorial in the getting_started/intro_tutorials section. The changes include:
Simplified explanations for importing pandas and creating DataFrames.
Improved grammar and sentence clarity.
Reworded the Series and describe() method descriptions to be m... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but I do not think these changes substantially improve the existing text so going to close this PR. It's best to open PRs that related to an open issue that has been triaged"
] |
2,992,070,475 | 61,284 | Doc-groupby-ewm | closed | 2025-04-14T06:53:34 | 2025-04-14T16:55:00 | 2025-04-14T16:54:59 | https://github.com/pandas-dev/pandas/pull/61284 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61284 | https://github.com/pandas-dev/pandas/pull/61284 | ShauryaDusht | 1 | - [x] closes #61268 (Adding documentation for `groupby.ewm()`)
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new a... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR but this is already being addressed in https://github.com/pandas-dev/pandas/pull/61283 so closing as already being worked on"
] |
2,991,915,085 | 61,283 | DOC: Add documentation for `groupby.ewm()` | closed | 2025-04-14T05:24:05 | 2025-04-14T20:05:42 | 2025-04-14T20:05:35 | https://github.com/pandas-dev/pandas/pull/61283 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61283 | https://github.com/pandas-dev/pandas/pull/61283 | arthurlw | 1 | - [x] closes #61268
- [ ] ~[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",
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
2,991,767,360 | 61,282 | ENH: pd.DataFrame.from_dict() should support loading columns of varying lengths | open | 2025-04-14T03:17:54 | 2025-04-15T05:56:41 | null | https://github.com/pandas-dev/pandas/issues/61282 | true | null | null | nikhilweee | 9 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Creating a dataframe from a dictionary with columns of varying lengths is not supported.
As of pandas 2.2.3, the following snippet resu... | [
"Enhancement",
"Needs Triage"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi! I’d like to work on this.\nI propose adding an optional `autopad` parameter to `from_dict()` that pads shorter columns \nwith a `fill_value` (default `np.nan`). This keeps existing behavior unchanged unless explicitly enabled.\n ```python\n df = pd.DataFrame.from_dict(\n {\"col1\": [1, 2, 3], \"col2\... |
2,991,281,653 | 61,281 | ENH: preview_csv(***.csv) for Fast First-N-Line Preview on Large Plus Size (>100GB) | closed | 2025-04-13T14:08:49 | 2025-08-18T01:05:06 | 2025-08-18T01:05:06 | https://github.com/pandas-dev/pandas/issues/61281 | true | null | null | visheshrwl | 4 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
The current `pandas.read_csv()` implementation is designed for robust and complete CSV parsing. However, even when users request only a ... | [
"Enhancement",
"IO CSV",
"Needs Discussion",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the request. Having to maintain an entirely different code path that does very similar things to `read_csv` seems to me to be a non-starter. I would like to understand why `read_csv` could not be improved to fit this purpose.",
"**Thank you for the thoughtful feedback @rhshadrach !**\n\nI completely u... |
2,990,561,056 | 61,280 | DOC: to_json for stream object | closed | 2025-04-12T16:35:16 | 2025-04-14T14:03:03 | 2025-04-14T14:03:02 | https://github.com/pandas-dev/pandas/issues/61280 | true | null | null | loicdiridollou | 2 | ### 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/reference/api/pandas.DataFrame.to_json.html
### Documentation problem
Currently the d... | [
"Docs",
"IO JSON",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"From https://docs.python.org/3/library/io.html\n\n> The [io](https://docs.python.org/3/library/io.html#module-io) module provides Python’s main facilities for dealing with various types of I/O. There are three main types of I/O: text I/O, binary I/O and raw I/O. These are generic categories, and various backing s... |
2,990,553,000 | 61,279 | WEB: Add pandas cookbook 3 to home page | closed | 2025-04-12T16:17:16 | 2025-04-12T20:13:57 | 2025-04-12T18:51:17 | https://github.com/pandas-dev/pandas/pull/61279 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61279 | https://github.com/pandas-dev/pandas/pull/61279 | datapythonista | 2 | #61271 was hard reverted, as it contained a 1.4 Mb image which we didn't want in our git history.
Same PR here, but with the image now using 9Kb.
@WillAyd, if you check in detail, you and Matt look a bit like cartoons, hahaha. This is because I'm just using 24 colors in the image, as this makes the file size much... | [
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61279/"
] |
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