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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,083,137,230 | 61,478 | BUG: to_latex does not escape % with percent formatter | closed | 2025-05-22T12:02:17 | 2025-05-30T18:24:36 | 2025-05-30T18:24:32 | https://github.com/pandas-dev/pandas/issues/61478 | true | null | null | stertingen | 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.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO LaTeX"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Boiled it down to the implementation of `_maybe_wrap_formatter`.\nIt applies the escape function before the formatting function (adding the % sign).\nTechnically, the formatter, the decimals, the thousands and the na_rep could introduce symbols to the string which should probably be escaped.\nNot sure why the the ... |
3,082,527,781 | 61,477 | BUG: Pandas concat raises RuntimeWarning: '<' not supported between instances of 'int' and 'tuple', sort order is undefined for incomparable objects with multilevel columns | open | 2025-05-22T08:33:16 | 2025-05-22T08:33:16 | null | https://github.com/pandas-dev/pandas/issues/61477 | true | null | null | ButteryPaws | 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 | [] |
3,082,247,813 | 61,476 | DOC: Improve DateOffset docstring with constructor and examples (#52431) | closed | 2025-05-22T06:45:30 | 2025-06-30T18:18:47 | 2025-06-30T18:18:47 | https://github.com/pandas-dev/pandas/pull/61476 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61476 | https://github.com/pandas-dev/pandas/pull/61476 | ericzhihuang | 3 | Updates the docstring for the `DateOffset` class in `offsets.pyx`.
Changes:
- Added a constructor signature and parameter documentation
This addresses part of issue #52431 (documentation improvements for offset constructors). | [
"Docs",
"Frequency",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the contribution @ericzhihuang, but I don't understand the changes here. This docstring already has examples and see also sections, you are adding new ones in the middle of the description.\r\n\r\nCan you have a look, make sure that the docstring makes sense as a whole, and also check that the CI is hap... |
3,081,509,955 | 61,475 | BUG: More Indicative Error when pd.melt with duplicate columns | closed | 2025-05-21T22:01:23 | 2025-05-30T16:43:56 | 2025-05-30T16:43:56 | https://github.com/pandas-dev/pandas/issues/61475 | true | null | null | James-Lee-998 | 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",
"Reshaping",
"Error Reporting",
"good first issue"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report, confirmed on main. Agreed we should check and raise a more understandable error when there are duplicate columns. PR to fix is welcome!",
"take"
] |
3,081,300,105 | 61,474 | BUG: dataframe.to_csv calls defauly numpy to_string function, resulting in | closed | 2025-05-21T20:09:11 | 2025-05-23T17:28:19 | 2025-05-23T17:28:18 | https://github.com/pandas-dev/pandas/issues/61474 | true | null | null | mtscott321 | 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",
"IO CSV",
"Closing Candidate"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I think you're asking for pandas to change the `__str__` behavior of a Python object. I'm negative on this, it is up to the user to control.",
"take",
"Agreed, especially since `repr`/IO writer support for nested values is not well supported generally and discouraged. Closing"
] |
3,081,103,616 | 61,473 | BUG: assert_frame_equal(check_dtype=False) fails when comparing two DFs containing pd.NA that only differ in dtype (object vs Int32) | open | 2025-05-21T18:35:56 | 2025-08-11T11:45:12 | null | https://github.com/pandas-dev/pandas/issues/61473 | true | null | null | michiel-de-muynck | 14 | ### 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",
"Testing",
"good first issue",
"ExtensionArray"
] | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report, this would pass if when converting the EA to a NumPy array we cast to object dtype. I haven't looked to see if this might cause issues in other cases. Since this is aimed at tests, I'm wondering if changing to object dtype is okay here.\n\ncc @jbrockmendel @mroeschke for any thoughts.",
">... |
3,080,730,686 | 61,472 | Backport PR #61399: BUG: round on object columns no longer raises a TypeError | closed | 2025-05-21T15:56:04 | 2025-05-21T17:06:19 | 2025-05-21T17:06:16 | https://github.com/pandas-dev/pandas/pull/61472 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61472 | https://github.com/pandas-dev/pandas/pull/61472 | mroeschke | 0 | xref https://github.com/pandas-dev/pandas/pull/61399 | [
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,080,554,537 | 61,471 | DOC: Improve lookup documentation | closed | 2025-05-21T15:04:30 | 2025-06-02T16:57:16 | 2025-06-02T16:57:09 | https://github.com/pandas-dev/pandas/pull/61471 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61471 | https://github.com/pandas-dev/pandas/pull/61471 | stevenae | 2 | - [ ] closes #40140
- [ ] [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/contributing_codebase.html#pre-commit).
- [ ]... | [
"Docs",
"Indexing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Addressed your concerns! If you have time for a review.\r\n\r\nOn Wed, May 21, 2025, 4:33 PM Richard Shadrach ***@***.***>\r\nwrote:\r\n\r\n> ***@***.**** requested changes on this pull request.\r\n>\r\n> No strong opposition to having both functions, but the performance gain of\r\n> the _het version does not seem... |
3,079,915,886 | 61,470 | DOC: Restructure and expand UDF page | closed | 2025-05-21T11:34:50 | 2025-05-27T15:15:22 | 2025-05-27T15:15:22 | https://github.com/pandas-dev/pandas/pull/61470 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61470 | https://github.com/pandas-dev/pandas/pull/61470 | datapythonista | 3 | I changed the order in which the methods are presented,both in the table and in the sections, to be:
- map
- apply
- pipe
- filter
- agg
- transform
I find it easier to explain them in this order.
And I expanded the method sections with examples and a bit more of information.
I removed the most complex... | [
"Docs",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks good to me! I think the example under vectorized operations should be changed to fit with the Fahrenheit example, but that can be added in a follow-up PR.",
"Thanks @arthurlw, great feedback. I'll leave the example on the vectorized section for now, as it may make sense to also expand that section as we ma... |
3,079,474,716 | 61,469 | BUG: pandas.pivot_table margins, dropna and observed parameters not producing expected result | closed | 2025-05-21T08:58:05 | 2025-06-21T14:38:16 | 2025-06-21T14:38:09 | https://github.com/pandas-dev/pandas/issues/61469 | true | null | null | hugotomasf | 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",
"Reshaping",
"Duplicate Report"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! While the default value of `observed` is deprecated, that option is not planned for removal. It wasn't to clear to me if this was part of your concern.\n\n> I expect with the parameter's combination dropna=False, margins=False and observed=True to get all the rows with plausible combinations... |
3,078,357,968 | 61,468 | ENH: Implement PDEP-17 | closed | 2025-05-20T22:22:11 | 2025-08-12T23:10:18 | 2025-08-12T23:10:10 | https://github.com/pandas-dev/pandas/pull/61468 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61468 | https://github.com/pandas-dev/pandas/pull/61468 | rhshadrach | 11 | - [ ] 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... | [
"Enhancement",
"Warnings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Seems like the label `PDEP` can only be used for the PDEP themselves. Otherwise building the website fails, as it expects the PR to be a PDEP that needs to be rendered in the roadmap.",
"@Dr-Irv - Thanks for the review! I'm negative on the name `PandasWarning` for a class that has to do with deprecations. pandas... |
3,078,337,779 | 61,467 | ENH: Support third-party execution engines in Series.map | closed | 2025-05-20T22:07:21 | 2025-05-27T21:37:34 | 2025-05-27T21:37:34 | https://github.com/pandas-dev/pandas/pull/61467 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61467 | https://github.com/pandas-dev/pandas/pull/61467 | datapythonista | 0 | - [X] xref #61125
- [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... | [
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,078,154,773 | 61,466 | BUG: Series.str.isdigit with pyarrow dtype doesn't honor unicode superscripts | open | 2025-05-20T20:25:32 | 2025-08-21T07:19:46 | null | https://github.com/pandas-dev/pandas/issues/61466 | true | null | null | GarrettWu | 10 | ### 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",
"Needs Discussion",
"Upstream issue",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report, confirmed on main. Further investigations and PRs to fix are welcome!",
"@rhshadrach The issue stems from `pyarrow.compute.utf8_is_digit` not recognizing non-ASCII Unicode digits (e.g., `'³'`). To align with `str.isdigit()`'s behavior and pandas docs, I propose replacing the Arrow compute ... |
3,077,824,147 | 61,465 | BUG: Raise ValueError on integer indexers containing NA; skip test for unsupported EAs(#56727) | open | 2025-05-20T18:02:28 | 2025-07-26T00:09:03 | null | https://github.com/pandas-dev/pandas/pull/61465 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61465 | https://github.com/pandas-dev/pandas/pull/61465 | pelagiavlas | 2 | - [x] closes #56727
- [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",
"Testing",
"ExtensionArray",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Greetings! I’m following up on this PR.\r\nIf there’s any input or revisions required, please feel free to let me know.\r\nThank you!",
"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... |
3,075,200,403 | 61,464 | BUG: Decimal and float-to-int conversion issues with pyarrow ≥18.0.0 in parquet and Arrow dtype tests | open | 2025-05-19T23:07:27 | 2025-07-24T20:08:27 | null | https://github.com/pandas-dev/pandas/issues/61464 | true | null | null | bhavya2109sharma | 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",
"Closing Candidate",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"In newer versions of PyArrow, type identity is stricter which is why this code is now causing errors.\n\n**Issue 1:**\nHi, the issue is that `types_mapper={pa.float64(): pa.int64()}.get` is not reliable in newer versions of PyArrow. This is because each call to `pa.float64()` creates a new object, so the key in yo... |
3,075,048,545 | 61,463 | Wheels for win_arm64 | closed | 2025-05-19T21:22:13 | 2025-05-21T20:31:36 | 2025-05-21T20:25:01 | https://github.com/pandas-dev/pandas/pull/61463 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61463 | https://github.com/pandas-dev/pandas/pull/61463 | khmyznikov | 4 | - [ ] closes #61462
- [x] no new code was added to pandas | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Regular win_amd also required the `pip install delvewheel` for some reason, despite the fact I didn't touched it. Added that for all win plats to fix the build.",
"Thanks @khmyznikov ",
"@mroeschke any ETA when the new version will be available on PyPi?",
"> any ETA when the new version will be available on ... |
3,075,047,965 | 61,462 | BUILD: Provide wheel for Windows ARM64 | closed | 2025-05-19T21:21:52 | 2025-05-21T20:25:02 | 2025-05-21T20:25:02 | https://github.com/pandas-dev/pandas/issues/61462 | true | null | null | khmyznikov | 0 | ### What is the current behavior?
Installation via pip requires local build.
### What is the desired behavior?
To have [native wheel for WoA](https://blogs.windows.com/windowsdeveloper/2025/04/14/github-actions-now-supports-windows-on-arm-runners-for-all-public-repos/). GitHub Actions now supports win-arm64 for free... | [
"Build",
"Windows",
"ARM"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,074,786,808 | 61,461 | DOC: fix two mistakes in missing_data.rst | closed | 2025-05-19T19:17:16 | 2025-05-20T15:02:21 | 2025-05-19T19:45:53 | https://github.com/pandas-dev/pandas/pull/61461 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61461 | https://github.com/pandas-dev/pandas/pull/61461 | gogowitsch | 0 | Small documentation improvements on `missing_data.rst`:
- The referenced example no longer exists
- Add space after full stop. | [
"Docs",
"Missing-data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,073,889,307 | 61,460 | PERF: Slow Windows / Ubuntu Unit Tests during Status Checks | closed | 2025-05-19T13:37:43 | 2025-06-02T16:26:14 | 2025-06-02T16:26:11 | https://github.com/pandas-dev/pandas/issues/61460 | true | null | null | MartinBraquet | 3 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this issue exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this issue exists on the main branch of pandas.
### Reproducible Examp... | [
"Performance",
"CI",
"Windows",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Update: \nAfter a rerun of the checks in PR #61457, they all passed in 45 min.\nThis is a significant difference with the 90 min that it took for the precedent check that ran just an hour before it.\nIt would be interesting to determine the cause for that twofold increase in runtime.\nIt ran at the same time as an... |
3,073,813,106 | 61,459 | DOC: change `pandas.DataFrame.unstack`'s `fill_value` param to scalar | closed | 2025-05-19T13:13:36 | 2025-05-19T16:00:47 | 2025-05-19T16:00:40 | https://github.com/pandas-dev/pandas/pull/61459 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61459 | https://github.com/pandas-dev/pandas/pull/61459 | KevsterAmp | 1 | - [x] closes #61445 (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... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @KevsterAmp "
] |
3,073,785,764 | 61,458 | Use BaseExecutionEngine for Python and Numba engines | open | 2025-05-19T13:04:52 | 2025-06-15T15:25:23 | null | https://github.com/pandas-dev/pandas/issues/61458 | true | null | null | datapythonista | 6 | In #61032 we have created a new base class `BaseExecutionEngine` that engines can subclass to handle `apply` and `map` operations. The base class has been initially created to allow third-party engines to be passed to `DataFrame.apply(..., engine=third_party_engine)`. But our core engines Python and Numba can also be i... | [
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for assigning me this @datapythonista ! This looks interesting to work on and I'll start looking into it.",
"Thanks @arthurlw. A possible approach could be starting by numba only. The numba engine is only implemented for `DataFrame.apply` for now, and only for certain types of the parameters. For example,... |
3,073,461,741 | 61,457 | ENH: Added `DataFrame.nsorted` to select top ``n`` rows according to column-dependent order | open | 2025-05-19T11:11:18 | 2025-07-29T18:19:32 | null | https://github.com/pandas-dev/pandas/pull/61457 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61457 | https://github.com/pandas-dev/pandas/pull/61457 | MartinBraquet | 4 | - [x] closes #61166
- [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.",
"The PR has been waiting for re... |
3,073,419,317 | 61,456 | PERF: Setting an item of incompatible dtype | closed | 2025-05-19T10:55:32 | 2025-08-05T17:04:22 | 2025-08-05T17:04:22 | https://github.com/pandas-dev/pandas/issues/61456 | true | null | null | muhannad125 | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this issue exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this issue exists on the main branch of pandas.
### Reproducible Examp... | [
"Indexing",
"Performance",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@muhannad125 - please provide a reproducible example. Setup an example `df` with synthetic data.\n\nYou would might be interested in using [map](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.map.html) if performance is a concern.",
"Closing as needing more information"
] |
3,072,836,884 | 61,455 | fix(doc): #61432 typing | closed | 2025-05-19T07:34:54 | 2025-05-20T21:42:25 | 2025-05-20T21:40:31 | https://github.com/pandas-dev/pandas/pull/61455 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61455 | https://github.com/pandas-dev/pandas/pull/61455 | cmp0xff | 3 | - [x] closes #61432
- [ ] [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/contributing_codebase.html#pre-commit).
- [ ]... | [
"Docs",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke thank you for the approval. Wouldn't the PR fit for 2.2.4 or 2.3.0? It seems to be merely a fix to me.",
"This PR will go into 3.0. No whatsnew entry is needed for this PR.",
"Thanks @cmp0xff "
] |
3,072,117,089 | 61,454 | BUG: Raise TypeError when joining with non-DataFrame using 'on=' (GH#61434) | open | 2025-05-18T23:00:01 | 2025-06-25T01:51:32 | null | https://github.com/pandas-dev/pandas/pull/61454 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61454 | https://github.com/pandas-dev/pandas/pull/61454 | iabhi4 | 3 | Closes GH#61434
### What does this PR change?
When using `DataFrame.join()` with the `on` parameter, passing an invalid object like a `dict`, `int`, or third-party DataFrame previously resulted in unclear internal errors.
This PR adds a minimal type check that raises a clear `TypeError` when `other` is not a `... | [
"Reshaping",
"Error Reporting",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"All checks passed except the Pyodide build, which failed due to a rate-limit (HTTP 429). The failure seems unrelated to this PR. A rerun should resolve it",
"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/developm... |
3,072,076,580 | 61,453 | TYP: Update typing for 3.10 | closed | 2025-05-18T21:38:17 | 2025-05-19T16:11:30 | 2025-05-19T16:11:23 | https://github.com/pandas-dev/pandas/pull/61453 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61453 | https://github.com/pandas-dev/pandas/pull/61453 | Dr-Irv | 1 | - Ran `pyupgrade` so that typing is updated to python 3.10 - that modified files in `pandas/_libs`
- Updated `pandas/_typing.py` to have the following:
- Use `TypeAlias` to declare all types
- Change `Type` to use `builtins.type`
- Remove `Optional`
- Remove use of `Union` *except* for when it is used on a... | [
"Typing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Dr-Irv "
] |
3,071,183,637 | 61,452 | BUG: Compiler Flag Drift May Affect Pandas ABI Stability via Memory Assumptions | closed | 2025-05-18T00:17:59 | 2025-05-18T10:21:22 | 2025-05-18T10:21:00 | https://github.com/pandas-dev/pandas/issues/61452 | true | null | null | BryteLite | 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",
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"NumPy just released 2.2.6 fixes concerning types today. Might just mask the issue however.",
"https://sethmlarson.dev/slop-security-reports",
"Thanks @eli-schwartz - closing along with https://github.com/matplotlib/matplotlib/issues/30064 and https://github.com/numpy/numpy/issues/28953"
] |
3,071,115,712 | 61,451 | BUG: Fix DataFrame constructor misclassification of array-like with 'name' attribute (#61443) | closed | 2025-05-17T22:30:43 | 2025-05-19T15:54:56 | 2025-05-19T15:54:49 | https://github.com/pandas-dev/pandas/pull/61451 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61451 | https://github.com/pandas-dev/pandas/pull/61451 | iabhi4 | 3 | BUG: Fix DataFrame constructor misclassification of array-like with 'name' attribute
Previously, any object with a `.name` attribute (like some `vtkArray`-like objects) was assumed to be a `Series` or `Index`, causing the DataFrame constructor to misinterpret the input and raise errors when passed valid 2D array-lik... | [
"Bug",
"Constructors"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"**Note:** One unrelated pre-commit check failed:\r\n\r\n ```\r\nCheck for strings with misplaced spaces.................................................................Failed\r\n - hook id: unwanted-patterns-strings-with-misplaced-whitespace\r\n\r\n pandas/_libs/tslibs/offsets.pyx:5112: String has a space at the b... |
3,070,159,397 | 61,450 | BUG: Fix Dataframe handling of scalar Timestamp #61444 | closed | 2025-05-17T01:42:15 | 2025-06-30T18:26:21 | 2025-06-30T18:26:20 | https://github.com/pandas-dev/pandas/pull/61450 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61450 | https://github.com/pandas-dev/pandas/pull/61450 | Farsidetfs | 3 | closes #61444
Tests developed, but validating against test suite to ensure full compliance. Will update pull request with submission notes and unit test after validation this doesn't disrupt other functions.
TODO:
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_co... | [
"Bug",
"Stale",
"Timestamp"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Existing tests seem to be happy, what's needed is to add a test that fails now, and passes with the code changes here. As well as the release note.",
"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/con... |
3,070,072,229 | 61,449 | DOC: fix typo in merging.rst | closed | 2025-05-16T23:56:46 | 2025-05-18T17:25:15 | 2025-05-17T00:21:58 | https://github.com/pandas-dev/pandas/pull/61449 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61449 | https://github.com/pandas-dev/pandas/pull/61449 | wjandrea | 1 | "order data"
- ~~[ ] 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/panda... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
3,069,696,569 | 61,448 | DOC: Skip parallel_coordinaes, andrews_curves doctests | closed | 2025-05-16T19:00:05 | 2025-05-16T20:59:18 | 2025-05-16T20:59:16 | https://github.com/pandas-dev/pandas/pull/61448 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61448 | https://github.com/pandas-dev/pandas/pull/61448 | mroeschke | 0 | The method calls are skipped in these doctest, so we should skip the `DataFrame` setup that makes a network call
e.g where this can fail https://github.com/pandas-dev/pandas/actions/runs/15072461295/job/42371956167 | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,068,360,501 | 61,447 | BUG: read_csv silently ignores out of bounds errors when parsing date columns | closed | 2025-05-16T08:42:56 | 2025-05-17T21:06:07 | 2025-05-17T21:05:50 | https://github.com/pandas-dev/pandas/issues/61447 | true | null | null | ssuhre | 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",
"Datetime",
"IO CSV",
"Non-Nano"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"This is fixed on main. The dtype of the column is now `datetime64[s]`",
"Thanks for the report, and thanks @asishm. Closing."
] |
3,067,920,070 | 61,446 | CI: clean up wheel build workarounds now that Cython 3.1.0 is out | closed | 2025-05-16T04:44:14 | 2025-07-01T08:27:58 | 2025-05-16T15:54:59 | https://github.com/pandas-dev/pandas/pull/61446 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61446 | https://github.com/pandas-dev/pandas/pull/61446 | rgommers | 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... | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @rgommers ",
"Owee, I'm MrMeeseeks, Look at me.\n\nThere seem to be a conflict, please backport manually. Here are approximate instructions:\n\n1. Checkout backport branch and update it.\n\n```\ngit checkout 2.3.x\ngit pull\n```\n\n2. Cherry pick the first parent branch of the this PR on top of the older ... |
3,067,627,843 | 61,445 | DOC: DataFrame.unstack should accept fill_value with more types than just int/str/dict | closed | 2025-05-16T00:12:57 | 2025-05-19T16:00:41 | 2025-05-19T16:00:41 | https://github.com/pandas-dev/pandas/issues/61445 | true | null | null | loicdiridollou | 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://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.unstack.html#pandas.DataFrame.unstack
### Documenta... | [
"Docs",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Also I realized that the `dict` option is quite confusing, I am not able to make it work, the following code will fail:\n\n```python\npd.DataFrame([\n [\"a\", \"b\", pd.Timestamp(2021, 3, 2)],\n [\"a\", \"a\", pd.Timestamp(2023, 4, 2)],\n [\"b\", \"b\", pd.Timestamp(2024, 3, 2)]\n]).set_index([0, 1]).unst... |
3,065,324,221 | 61,444 | BUG: DataFrame column assignment with pd.Timestamp leads to unexpected dtype and incorrect JSON output | closed | 2025-05-15T07:58:40 | 2025-05-19T02:46:08 | 2025-05-17T21:15:26 | https://github.com/pandas-dev/pandas/issues/61444 | true | null | null | tanjt107 | 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",
"Non-Nano",
"Timestamp"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"I was able to duplicate and believe my PR will resolve this issue. If confirmed as a bug worth fixing, will update tests and change document and submit PR for approval. ",
"Thanks for the report, it seems to me the issue lies with Timestamp creation rather than assignment to a DataFrame.\n\n```python... |
3,064,367,936 | 61,443 | BUG: `DataFrame` constructor not compatible with array-like classes that have a `'name'` attribute | closed | 2025-05-14T22:02:04 | 2025-05-19T15:54:50 | 2025-05-19T15:54:50 | https://github.com/pandas-dev/pandas/issues/61443 | true | null | null | user27182 | 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.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Constructors"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi!\n\nI'm a beginner contributor and spent some time digging into this — here's what I found:\n\nWhen an array-like object (like `vtkArray` or similar) is passed to `pd.DataFrame()` and it has a `.name` attribute, the constructor currently assumes it's a `Series` or `Index` and wraps it into a `{name: data}` dict... |
3,063,692,554 | 61,442 | ENH: add option to save json without escaping forward slashes | open | 2025-05-14T16:35:35 | 2025-07-01T16:12:55 | null | https://github.com/pandas-dev/pandas/issues/61442 | true | null | null | ellisbrown | 0 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I love pandas and use it extensively. one very common use case for me is saving large json / jsonl files to describe ML training dataset... | [
"Enhancement",
"IO JSON",
"Needs Triage"
] | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,062,286,222 | 61,441 | BUG: Raise ValueError on integer indexers containing NA; skip test for unsupported EAs | closed | 2025-05-14T08:30:32 | 2025-05-20T18:02:28 | 2025-05-20T18:02:28 | https://github.com/pandas-dev/pandas/pull/61441 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61441 | https://github.com/pandas-dev/pandas/pull/61441 | pelagiavlas | 0 | - [ ] closes #56727
- [ ] [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/contributing_codebase.html#pre-commit).
- [ ]... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,062,281,472 | 61,440 | ENH: Broaden `dict` to `Mapping` as replace argument | closed | 2025-05-14T08:29:11 | 2025-05-27T15:26:34 | 2025-05-27T15:26:33 | https://github.com/pandas-dev/pandas/issues/61440 | true | null | null | DavideCanton | 9 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Currently the `replace` method of `Series` allows only `dict`, but not `Mapping` inputs, as the `DataFrame` one does.
For example:
```... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hey @DavideCanton,\n\nHave you installed the `pandas-stubs` package? It is an extension of the pandas repo for types.\nI have tried locally in an environment where pandas-stubs is installed and no warning are raised (pyright/mypy).\nCan you provide how you typecheck this code?\n\nSee below, the type is `Mapping` a... |
3,062,080,513 | 61,439 | BUG: Confusing Behavior When Assigning DataFrame Columns Using `omegaconf.ListConfig` | open | 2025-05-14T07:15:34 | 2025-05-17T21:30:20 | null | https://github.com/pandas-dev/pandas/issues/61439 | true | null | null | Trezorro | 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",
"Indexing",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Is it possible to construct a minimal class for `cfg.cols` demonstrating the issue? This isn't necessary, but would be helpful.",
"This issue stems from \n\nhttps://github.com/pandas-dev/pandas/blob/5aa78c019649a291456788bc3a808452a387884b/pandas/core/frame.py#L4172\n\nHere we have an isin... |
3,061,658,902 | 61,438 | BUG: ImportError: cannot import name 'NaN' from 'numpy' in squeeze_pro.py | closed | 2025-05-14T02:50:31 | 2025-05-14T16:19:37 | 2025-05-14T16:19:36 | https://github.com/pandas-dev/pandas/issues/61438 | true | null | null | heidongqilin | 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 | [
"Thanks for the report. `pandas_ta` is not maintained by this repository so I would suggest pinging the owners of that repository. Closing"
] |
3,061,433,244 | 61,437 | Backport PR #61423: CI: Fix test failures in 32-bit environment | closed | 2025-05-13T23:25:43 | 2025-05-13T23:57:41 | 2025-05-13T23:57:38 | https://github.com/pandas-dev/pandas/pull/61437 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61437 | https://github.com/pandas-dev/pandas/pull/61437 | mroeschke | 0 | null | [
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,059,177,316 | 61,436 | change readme | closed | 2025-05-13T08:18:06 | 2025-05-13T08:20:01 | 2025-05-13T08:20:01 | https://github.com/pandas-dev/pandas/pull/61436 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61436 | https://github.com/pandas-dev/pandas/pull/61436 | uzairahmad03 | 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 | [] |
3,057,668,111 | 61,435 | ENH: Implemented MultiIndex.searchsorted method ( GH14833) | open | 2025-05-12T17:35:52 | 2025-07-20T02:34:53 | null | https://github.com/pandas-dev/pandas/pull/61435 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61435 | https://github.com/pandas-dev/pandas/pull/61435 | GSAUC3 | 15 | - [X] closes #14833
- [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",
"MultiIndex",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @GSAUC3 for the PR. Is there and issue, or has there been any discussion about this elsewhere?",
"Hi @datapythonista, this was the issue https://github.com/pandas-dev/pandas/issues/14833 , against which i made the pull request.",
"HI, I had ran pytest and pre-commit locally, is it possible to run all t... |
3,057,649,370 | 61,434 | BUG: Joining Pandas with Polars dataframe produces fuzzy errormessage | open | 2025-05-12T17:28:02 | 2025-05-18T23:07:58 | null | https://github.com/pandas-dev/pandas/issues/61434 | true | null | null | Juan-132 | 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",
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I have confirmed the bug on pandas version 2.2.3.\nThe error message when attempting to join a pandas DataFrame with a Polars DataFrame is misleading. I intend to work on a fix to provide a more appropriate error message that clearly indicates the incompatibility between pandas and Polars for such join operations.... |
3,057,477,464 | 61,433 | BUG: Some `ExtensionArray`s can return 0-d Elements | open | 2025-05-12T16:12:18 | 2025-05-18T22:01:27 | null | https://github.com/pandas-dev/pandas/issues/61433 | true | null | null | ilan-gold | 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",
"Indexing",
"Needs Discussion",
"ExtensionArray"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report!\n\n> The reason I care is that arrow arrays do not have a 0d version, which makes it tough to develop over all ExtensionArray classes\n\nCan you give a little more detail here as to why it makes it tough? In particular, does \n\n pd.array([1, 2], dtype=\"int64[pyarrow]\")[0]\n\nalso cause... |
3,057,409,687 | 61,432 | DOC: Series.name is just Hashable, but many column arguments require str | closed | 2025-05-12T15:45:47 | 2025-05-20T21:40:33 | 2025-05-20T21:40:33 | https://github.com/pandas-dev/pandas/issues/61432 | true | null | null | cmp0xff | 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.Series.name.html
* https://pandas.pydata.org/docs/dev/refere... | [
"Docs",
"Reshaping",
"good first issue"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Hashable is correct, but the docs often use `label` instead, e.g.\n\nhttps://pandas.pydata.org/docs/reference/api/pandas.DataFrame.set_index.html\n\nI think we should use `label` for consistency."
] |
3,057,389,539 | 61,431 | BUG: documented usage of of `str.split(...).str.get` fails on dtype `large_string[pyarrow]` | open | 2025-05-12T15:38:24 | 2025-06-03T11:41:18 | null | https://github.com/pandas-dev/pandas/issues/61431 | true | null | null | SandroCasagrande | 9 | ### 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",
"Strings",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! Agreed on the inconsistency here. \n\n```python\nprint(pd.Series([\"abc\"], dtype=\"large_string[pyarrow]\").str.split(\"b\"))\n# 0 ['a' 'c']\n# dtype: list<item: large_string>[pyarrow]\nprint(pd.Series([\"abc\"], dtype=\"string[pyarrow]\").str.split(\"b\"))\n# 0 [a, c]\n# dtype: objec... |
3,055,081,134 | 61,430 | BLD: Decrease size of docker image | closed | 2025-05-11T16:25:28 | 2025-05-12T19:10:45 | 2025-05-12T19:10:38 | https://github.com/pandas-dev/pandas/pull/61430 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61430 | https://github.com/pandas-dev/pandas/pull/61430 | huisman | 1 | This PR reduces the size of the docker image by:
- combining RUN commands to minimise the number of layers
- removing the apt lists files to reduce total size
- use --no-cache-dir when installing with pip
In my tests it reduced the size of the final image with approximately 0.47GB (most of it due to the --no-ca... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @huisman "
] |
3,055,017,753 | 61,429 | DOC: Updates to documentation - io.rst | closed | 2025-05-11T14:17:41 | 2025-05-12T16:55:22 | 2025-05-12T16:55:16 | https://github.com/pandas-dev/pandas/pull/61429 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61429 | https://github.com/pandas-dev/pandas/pull/61429 | ConnorWallace15 | 1 | updating hdf5 data description link due to 404 error
- [x] closes #61428
- [ ] [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/d... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @ConnorWallace15 "
] |
3,054,604,088 | 61,428 | DOC: Broken Link in IO Tools - HDF5 Data Description | closed | 2025-05-11T00:23:23 | 2025-05-12T16:55:17 | 2025-05-12T16:55:17 | https://github.com/pandas-dev/pandas/issues/61428 | true | null | null | ConnorWallace15 | 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/user_guide/io.html
### Documentation problem
The link for HDF5 data description is br... | [
"Docs",
"IO HDF5"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Thanks for raising this! PRs are welcome."
] |
3,054,507,099 | 61,427 | ENH: access arrow-backed map as a python dictionary | open | 2025-05-10T20:29:32 | 2025-07-15T21:07:24 | null | https://github.com/pandas-dev/pandas/issues/61427 | true | null | null | mikelui | 0 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Users should be able to accessing a dataframe element–that is an Arrow-backed map–with normal python dict semantics.
Today, accessing a... | [
"Enhancement",
"Needs Triage",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,054,347,369 | 61,426 | BUG: Fix memory leak when slicing Series and assigning to self | closed | 2025-05-10T16:36:04 | 2025-06-02T16:55:00 | 2025-06-02T16:54:59 | https://github.com/pandas-dev/pandas/pull/61426 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61426 | https://github.com/pandas-dev/pandas/pull/61426 | niranjanorkat | 1 | This PR fixes a memory leak that occurs when a Series is sliced and reassigned to itself, e.g., a = a[-1:].
The underlying BlockManager retained references to the original data, preventing garbage collection. This is resolved by ensuring the sliced result copies the backing data.
Closes #60640. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but this solution would be a non-starter as it introduces extra copies.\r\n\r\nSince there's continuing discussion in the issue going to close this PR"
] |
3,054,212,451 | 61,425 | BUG(string dtype): Arithmetic operations between Series with string dtype index | open | 2025-05-10T14:43:33 | 2025-05-11T23:55:04 | null | https://github.com/pandas-dev/pandas/issues/61425 | true | null | null | rhshadrach | 2 | Similar to #61099, but concerning `lhs + rhs`. Alignment in general is heavily involved here as well. One thing to note is that unlike in comparisons operations, in arithmetic operations the `lhs.index` dtype is favored, assuming no coercion is necessary.
```python
dtypes = [
np.dtype(object),
pd.StringDtype("... | [
"Bug",
"Strings",
"Needs Discussion",
"API - Consistency"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Hi @rhshadrach \nI’ve dug into this issue on pandas 2.2.2 and here’s what I’ve confirmed:\nimport numpy as np\nimport pandas as pd\nimport pyarrow as pa\n# Check pandas version\nprint(pd.__version__)\n\ndtypes = [\n np.dtype(object),\n pd.StringDtype(\"pyarrow\"), # Remove na_value for older panda... |
3,054,181,753 | 61,424 | i want to develop one feature in pandas | closed | 2025-05-10T14:14:16 | 2025-05-10T14:31:48 | 2025-05-10T14:31:47 | https://github.com/pandas-dev/pandas/issues/61424 | true | null | null | Sunil5411 | 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
i want to develop one feature in pandas ... | [
"Usage Question",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Adds a native .explain() method to pandas DataFrames that provides an instant, human-readable summary of data — including column types, missing values, distributions, and key insights — all in a single command to accelerate EDA.",
"Thanks for the suggestion but I would be -1 to include this in pandas. This sound... |
3,053,798,669 | 61,423 | CI: Fix test failures in 32-bit environment | closed | 2025-05-10T06:43:45 | 2025-05-13T23:25:56 | 2025-05-13T23:09:01 | https://github.com/pandas-dev/pandas/pull/61423 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61423 | https://github.com/pandas-dev/pandas/pull/61423 | chilin0525 | 4 | I noticed that some CI failures are due to the same test errors appearing in several recent PRs.
After comparing multiple failed and successful CI runs, it seems that the unit tests fail when using `cython==3.1.0` in the Linux 32-bit environment.
* Faliure unittest case:
```python
FAILED pandas/tests/window... | [
"CI",
"Dependencies",
"32bit"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke Hi, this error seems to be an upstream issue. I created this MR just to evaluate whether it's caused by Cython.\r\nFor issues like this, what's the usual approach to ensure the unit tests pass?",
"Thanks for starting investigation. If this is caused by Cython then we probably need to pin it like you d... |
3,053,377,590 | 61,422 | BUG: Raise MergeError when suffixes result in duplicate column names … | closed | 2025-05-09T23:21:41 | 2025-06-06T14:12:42 | 2025-06-06T14:12:20 | https://github.com/pandas-dev/pandas/pull/61422 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61422 | https://github.com/pandas-dev/pandas/pull/61422 | Farsidetfs | 20 | closes #61402
All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
Added an entry in the la... | [
"Bug",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"Thanks for your contribution!\r\n\r\nJust a quick note: you don't need to write `GH#61402` in the PR description — simply using `#61402` in PR description, is enough, GitHub will automatically link it 😀. \r\nAlso, since this PR addresses a bug, please make sure to:\r\n* Add a unit test ... |
3,052,849,935 | 61,421 | DOC: Updated titanic.rst survived description | closed | 2025-05-09T18:01:36 | 2025-05-09T18:36:15 | 2025-05-09T18:36:07 | https://github.com/pandas-dev/pandas/pull/61421 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61421 | https://github.com/pandas-dev/pandas/pull/61421 | arthurlw | 1 | - [x] closes #61412
- [ ] ~[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 | [
"Thanks @arthurlw "
] |
3,052,183,501 | 61,420 | ENH: Add smart_groupby() method for automatic grouping by categorical columns and aggregating numerics | closed | 2025-05-09T13:27:40 | 2025-05-14T18:59:18 | 2025-05-14T18:59:15 | https://github.com/pandas-dev/pandas/issues/61420 | true | null | null | rit4rosa | 3 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Currently, pandas.DataFrame.groupby() requires users to explicitly specify both the grouping columns and the aggregation functions. This... | [
"Enhancement",
"Groupby",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I would like to work on this feature if you agree.",
"Thanks for the suggestion but I would be -1 including this in pandas. pandas is moving toward explicit and less automatic behaviors, and the snippet you posted is short enough to be wrapped in a custom helper function",
"Agreed @mroeschke. Closing."
] |
3,052,051,865 | 61,419 | BUILD: Missing Windows free-threading wheel | closed | 2025-05-09T12:40:24 | 2025-05-10T15:07:23 | 2025-05-10T14:36:30 | https://github.com/pandas-dev/pandas/issues/61419 | true | null | null | blink1073 | 2 | ### Installation check
- [x] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
Windows-2022Server-10.0.20348-SP0
### Installation Method
pip install
### pandas Version
2.2.3
### Python Version
3.13.3 free-threading
... | [
"Build",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the issue, but our 3.13t wheels will be released in pandas 3.0. Our nightly wheels have 3.13t wheels though https://anaconda.org/scientific-python-nightly-wheels/pandas/files. Closing as we won't be supporting free threading in pandas 2.2.3",
"Understood, thanks!"
] |
3,051,633,779 | 61,418 | BUG/FEATURE REQUEST: DataFrame.to_sql() tries to create table when it exists | open | 2025-05-09T09:47:10 | 2025-06-03T19:39:28 | null | https://github.com/pandas-dev/pandas/issues/61418 | true | null | null | vladidobro | 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.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO SQL",
"Needs Discussion",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the request!\n\n> Though one could argue that this is a bug in the SQLAlchemy Oracle dialect, rather than Pandas.\n\nHas this been reported to SQLAlchemy?",
"No, I believe it is not reported to SQLAlchemy, I guess I will do that.\n\nThough I feel a little bit like there should still be an escape hatch... |
3,051,556,738 | 61,417 | ENH: The prompt message in the error does not bring any valid bug prompts | open | 2025-05-09T09:16:39 | 2025-05-20T14:28:36 | null | https://github.com/pandas-dev/pandas/issues/61417 | true | null | null | pengjunfeng11 | 1 | ### Feature Type
- [ ] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
<img width="1348" alt="Image" src="https://github.com/user-attachments/assets/c4104157-1e97-4455-853b-371e9bbea1bf" />
Since the bool me... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Could you please explain what you mean by \"no prompt\"? A deprecation means that the functionality will soon be removed, not that it is already removed. So at this stage `.bool()` will execute, and either return successfully or fail (like in your example, as your dataframe is inappropriate for that method)."
] |
3,051,460,314 | 61,416 | BUG: df.rolling.{std, skew, kurt} gives unexpected value | open | 2025-05-09T08:42:24 | 2025-05-17T21:59:05 | null | https://github.com/pandas-dev/pandas/issues/61416 | true | null | null | Jie-Lei | 8 | ### 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",
"Window"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hey OP, thanks for raising this! Rolling operations include not just the current row, but also previous rows within the window. This means including or excluding the first row can impact the entire calculation, even for later rows. This is expected behavior, not a bug.\n\nLet me know if this makes sense or if you’... |
3,051,304,892 | 61,415 | BUG: ImportError: cannot import name 'NaN' from 'numpy' | closed | 2025-05-09T07:40:07 | 2025-05-09T17:37:23 | 2025-05-09T17:37:22 | https://github.com/pandas-dev/pandas/issues/61415 | true | null | null | Bl4ckVo1d | 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"ImportError: cannot import name 'NaN' from 'numpy' \n\n",
"ImportError: cannot import name 'NaN' from 'numpy' \n\n",
"Hey OP, thanks for raising this issue! Just a heads up, NaN is not a directly importable attribute from numpy. You can use np.nan instead:\n```python\nimport numpy as np\nprint(np.nan)\n```\nor... |
3,050,669,700 | 61,414 | Bug fix slow plot with datetimeindex | closed | 2025-05-09T03:55:17 | 2025-06-02T16:55:28 | 2025-06-02T16:55:28 | https://github.com/pandas-dev/pandas/pull/61414 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61414 | https://github.com/pandas-dev/pandas/pull/61414 | thehalvo | 1 | - [x] closes [#61398](https://github.com/pandas-dev/pandas/issues/61398)
- [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-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."
] |
3,050,627,050 | 61,413 | CLN: Expose arguments in DataFrame.query | closed | 2025-05-09T03:18:15 | 2025-05-20T02:35:42 | 2025-05-20T02:35:31 | https://github.com/pandas-dev/pandas/pull/61413 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61413 | https://github.com/pandas-dev/pandas/pull/61413 | loicdiridollou | 1 | - [x] closes #61405
- [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... | [
"Clean",
"expressions"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @loicdiridollou - very nice!"
] |
3,050,183,256 | 61,412 | DOC: Error in Getting started tutorials > How do I read and write tabular data? | closed | 2025-05-08T21:59:48 | 2025-05-09T18:36:09 | 2025-05-09T18:36:08 | https://github.com/pandas-dev/pandas/issues/61412 | true | null | null | paintdog | 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/getting_started/intro_tutorials/02_read_write.html
### Documentation problem
In the d... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for catching this! The correct mapping is 0 = did not survive and 1 = survived."
] |
3,049,800,285 | 61,411 | DOC: removed none from docstring | closed | 2025-05-08T18:38:30 | 2025-05-08T22:27:29 | 2025-05-08T22:27:22 | https://github.com/pandas-dev/pandas/pull/61411 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61411 | https://github.com/pandas-dev/pandas/pull/61411 | arthurlw | 1 | - [x] closes #61408
- [ ] ~[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",
"Algos"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
3,049,575,679 | 61,410 | CI: Upgrade to ubuntu-24.04, install Python free threading from conda-forge | closed | 2025-05-08T16:50:51 | 2025-05-16T00:58:56 | 2025-05-15T18:59:46 | https://github.com/pandas-dev/pandas/pull/61410 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61410 | https://github.com/pandas-dev/pandas/pull/61410 | mroeschke | 6 | null | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Seems like that the python-freethreading from conda-forge is not recognized as a valid Python, no idea why. But other than that this looks great, much cleaner.",
"Probably needs a bump of meson/meson-python.",
"submitted https://github.com/cython/cython/issues/6870 for the warning.",
"thanks @mroeschke ",
... |
3,049,397,172 | 61,409 | BUG: CVE-2020-13091 | closed | 2025-05-08T15:40:20 | 2025-05-08T15:59:46 | 2025-05-08T15:59:45 | https://github.com/pandas-dev/pandas/issues/61409 | true | null | null | mrw56410 | 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 | [
"Please see the discussion in https://github.com/pandas-dev/pandas/issues/49810, https://github.com/pandas-dev/pandas/issues/36256, https://github.com/pandas-dev/pandas/issues/48049. This is a won't fix from the pandas side"
] |
3,049,087,156 | 61,408 | DOC: axis argument for take says `None` is acceptable, but that is incorrect. | closed | 2025-05-08T13:54:54 | 2025-05-08T22:27:23 | 2025-05-08T22:27:23 | https://github.com/pandas-dev/pandas/issues/61408 | true | null | null | Dr-Irv | 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/pandas-docs/stable/reference/api/pandas.DataFrame.take.html#pandas.DataFrame.take
### Docum... | [
"Docs",
"Algos"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This was changed in https://github.com/pandas-dev/pandas/pull/20179 and seems to be erroneous, even at that time."
] |
3,049,045,130 | 61,407 | BUG: to_csv() quotechar/escapechar behavior differs from csv module | closed | 2025-05-08T13:40:42 | 2025-05-30T16:36:43 | 2025-05-30T16:36:43 | https://github.com/pandas-dev/pandas/issues/61407 | true | null | null | johnrtian | 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.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO CSV"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Confirmed on main. Agreed with the expected behavior, further investigations and PRs to fix are welcome!",
"take",
"@omarraf are you still working on this? can i take over this issue thanks",
"@KevsterAmp yes go for it ",
"Take"
] |
3,049,036,809 | 61,406 | BUG: way to include all columns within a groupby apply | open | 2025-05-08T13:37:47 | 2025-05-08T16:47:11 | null | https://github.com/pandas-dev/pandas/issues/61406 | true | null | null | madelavar12 | 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",
"Groupby",
"Apply",
"Closing Candidate"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report.\n\n1. You can do `df.groupby(...)[df.columns]`.\n2. You can access the groups from the index of the result.\n3. You can do `df.groupby(..., as_index=False)` to have the groups be columns instead of index.\n\nIn the event that none of these work for you, you can use `DataFrameGroupBy.pipe` to... |
3,047,535,649 | 61,405 | DOC/ENH: Add full list of argument for DataFrame.query | closed | 2025-05-08T01:16:47 | 2025-07-18T04:46:05 | 2025-05-20T02:35:33 | https://github.com/pandas-dev/pandas/issues/61405 | 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.query.html#pandas.DataFrame.query
### Documentation pro... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for raising! I agree that the docs could be clearer and that `**kwargs` should be replaced with the arguments you listed. ",
"Great thanks Arthur! I’ll prepare a PR to improve function signature and\r\ndocs, it is helpful for the stubs in particular.\r\n\r\nOn Thu, May 8, 2025 at 3:20 AM Arthur Laureus Wi... |
3,047,207,237 | 61,404 | BLD: allow to build with non-MSVC compilers on Windows | closed | 2025-05-07T21:25:47 | 2025-06-17T04:30:04 | 2025-06-16T19:44:46 | https://github.com/pandas-dev/pandas/pull/61404 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61404 | https://github.com/pandas-dev/pandas/pull/61404 | lazka | 5 | Always passing --vsenv to meson means pandas can't be built with gcc/clang
on Windows.
Instead add it to the cibuildwheel config so MSVC is still forced in CI
when building wheels, and in various places where it is built via pip. | [
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I understand that this is an edge case on Windows, and that mingw is not officially supported, but numpy/scipy also don't force msvc, so I though it's worth a try proposing this.\r\n\r\nFeedback welcome.",
"Thanks for the PR. This makes sense, although I think the challenge is more comprehensively how we documen... |
3,045,379,589 | 61,403 | BUG: guess_datetime_format cannot infer iso 8601 format | closed | 2025-05-07T09:41:27 | 2025-05-08T11:01:15 | 2025-05-07T17:04:01 | https://github.com/pandas-dev/pandas/issues/61403 | true | null | null | Thomath | 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",
"Warnings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. I can reproduce on 2.2.x, but this warning does not appear on main. This will be fixed in pandas 3.0. Closing."
] |
3,045,217,167 | 61,402 | BUG: Duplicate columns allowed on `merge` if originating from separate dataframes | closed | 2025-05-07T08:50:02 | 2025-06-06T14:12:22 | 2025-06-06T14:12:22 | https://github.com/pandas-dev/pandas/issues/61402 | true | null | null | nikaltipar | 8 | ### 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 | [
"Possibly related #13659",
"Thanks for the report! Agreed both should raise. PRs to fix are welcome!",
"Ok, I'll see if I can squeeze this in for this month. It should easy enough to fix. Of course, if anyone else wants to take it up, feel free to!",
"take",
"Hii I'm new to open source and pandas internals,... |
3,043,719,829 | 61,401 | ENH: access sliced dataframe from rolling.cov | open | 2025-05-06T18:51:17 | 2025-07-18T20:46:55 | null | https://github.com/pandas-dev/pandas/issues/61401 | true | null | null | srkunze | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
In a current project, I iterate over `df.rolling(window).cov(pairwise=True)`. Currently, I back-calculate from the index value of the co... | [
"Enhancement",
"Window",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"For increased clarity, could you please add a minimal and fully reproducible example of your current methodology and explain how your proposed feature would improve efficiency (in terms of time complexity)?"
] |
3,043,109,140 | 61,400 | BUG: Fix naive timestamps inheriting timezone from previous timestamps in to_datetime with ISO8601 format | closed | 2025-05-06T14:50:19 | 2025-05-06T18:29:26 | 2025-05-06T18:29:19 | https://github.com/pandas-dev/pandas/pull/61400 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61400 | https://github.com/pandas-dev/pandas/pull/61400 | myenugula | 1 | - [x] closes #61389 (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... | [
"Timezones"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @myenugula "
] |
3,042,845,468 | 61,399 | BUG: round on object columns no longer raises a TypeError | closed | 2025-05-06T13:24:43 | 2025-05-21T15:56:25 | 2025-05-21T00:33:33 | https://github.com/pandas-dev/pandas/pull/61399 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61399 | https://github.com/pandas-dev/pandas/pull/61399 | KevsterAmp | 6 | - [x] closes #61206 (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",
"Regression",
"Numeric Operations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"`pre-commit.ci` is timing out and the 2 failed unit tests are canceled operations. ",
"@KevsterAmp could you target this PR to `main`? We have a process to backport this PR to the `2.3.x` branch after it is merged to main",
"Rebased to main and forced push the branch.\r\n\r\n@mroeschke since we're targetting t... |
3,041,395,327 | 61,398 | BUG: Slower `DataFrame.plot` with `DatetimeIndex` | open | 2025-05-06T03:15:39 | 2025-06-03T04:08:25 | null | https://github.com/pandas-dev/pandas/issues/61398 | true | null | null | Abdelgha-4 | 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... | [
"Datetime",
"Visualization",
"Performance"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report, confirmed on main. Further investigations and PRs to fix are welcome!",
"take",
"For anyone interested, I've found an even faster way to produce the same plot:\n```python\n# Additional import\nfrom matplotlib.collections import LineCollection\n\n# 1. Same as above, plot a single column t... |
3,040,183,733 | 61,397 | [pre-commit.ci] pre-commit autoupdate | closed | 2025-05-05T16:29:15 | 2025-05-05T17:24:34 | 2025-05-05T17:24:05 | https://github.com/pandas-dev/pandas/pull/61397 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61397 | https://github.com/pandas-dev/pandas/pull/61397 | pre-commit-ci[bot] | 0 | <!--pre-commit.ci start-->
updates:
- [github.com/astral-sh/ruff-pre-commit: v0.11.4 → v0.11.8](https://github.com/astral-sh/ruff-pre-commit/compare/v0.11.4...v0.11.8)
- [github.com/pre-commit/mirrors-clang-format: v20.1.0 → v20.1.3](https://github.com/pre-commit/mirrors-clang-format/compare/v20.1.0...v20.1.3)
- [githu... | [
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,037,631,952 | 61,396 | Fix #60766:.map,.apply would convert element type for extension array | open | 2025-05-03T21:54:02 | 2025-08-20T17:10:45 | null | https://github.com/pandas-dev/pandas/pull/61396 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61396 | https://github.com/pandas-dev/pandas/pull/61396 | pedromfdiogo | 1 | - [x] closes #60766
- [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",
"pyarrow dtype retention"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"i suspect the correct thing to do for map involves the just-implemented EA._cast_pointwise_result"
] |
3,037,427,843 | 61,395 | BUG: pd.to_datetime failing to parse with exception error 01-Jun-2025 in sequence with 31-May-2025 | closed | 2025-05-03T14:04:02 | 2025-05-04T23:00:29 | 2025-05-03T15:12:00 | https://github.com/pandas-dev/pandas/issues/61395 | true | null | null | johndrummond | 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",
"Datetime"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report.\n\n> interestingly it's having the transition end of may. start of June. Starting with 01-Jun-2025 works, ending with 31-May-2025 works\n\nWhen given no other information, pandas needs to infer the format from the first value. Starting with `May`, the short-form and the long-form of the mont... |
3,037,228,054 | 61,394 | DOC: add `api.types.is_dtype_equal` into document | closed | 2025-05-03T07:20:19 | 2025-05-03T20:00:54 | 2025-05-03T20:00:53 | https://github.com/pandas-dev/pandas/pull/61394 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61394 | https://github.com/pandas-dev/pandas/pull/61394 | chilin0525 | 1 | - [x] closes #60905
- [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).
- [ ]... | [
"Docs",
"Dtype Conversions"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@datapythonista Thank you for the review and for pointing out how to fix the CI error! 🙏 "
] |
3,036,899,526 | 61,393 | Subplot title count fix + fix for issue introduced in earlier PR | closed | 2025-05-02T22:00:03 | 2025-05-07T16:11:38 | 2025-05-07T16:11:19 | https://github.com/pandas-dev/pandas/pull/61393 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61393 | https://github.com/pandas-dev/pandas/pull/61393 | eicchen | 1 | - [x] closes #61019
- [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/contributing_codebase.html#pre-commit).
- [... | [
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks again @eicchen "
] |
3,036,402,091 | 61,392 | DOC: Issue with the general expressiveness of the docs | closed | 2025-05-02T16:28:12 | 2025-08-05T17:09:58 | 2025-08-05T17:09:58 | https://github.com/pandas-dev/pandas/issues/61392 | true | null | null | epigramx | 4 | ### 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
Example: https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.floor.html
### Documentation problem
Througho... | [
"Docs",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report.\n\n> is often limited only to a circular sentence that repeats the verb that names the function and nothing else\n\nWhat should pandas say about `sum`? Should `sum` be explained as if the reader was unfamiliar with the mathematical operation? My answer here is no - this is okay to assume, a... |
3,035,882,425 | 61,391 | fix MultiIndex.difference not working with PyArrow timestamps (#61382) ,and some ruff formating fix | closed | 2025-05-02T12:10:52 | 2025-05-20T16:04:42 | 2025-05-20T16:04:41 | https://github.com/pandas-dev/pandas/pull/61391 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61391 | https://github.com/pandas-dev/pandas/pull/61391 | NEREUScode | 1 | ## Problem
The `MultiIndex.difference` method fails to remove entries when the index contains PyArrow-backed timestamps (`timestamp[ns][pyarrow]`). This occurs because direct tuple comparisons with PyArrow scalar types are unreliable during membership checks, causing entries to remain unexpectedly.
**Example**:
``... | [] | 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."
] |
3,035,805,085 | 61,390 | fix MultiIndex.difference not working with PyArrow timestamps (#61382) ,and some ruff formating fix | closed | 2025-05-02T11:30:06 | 2025-05-02T12:09:22 | 2025-05-02T12:09:22 | https://github.com/pandas-dev/pandas/pull/61390 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61390 | https://github.com/pandas-dev/pandas/pull/61390 | NEREUScode | 0 | ## Problem
The `MultiIndex.difference` method fails to remove entries when the index contains PyArrow-backed timestamps (`timestamp[ns][pyarrow]`). This occurs because direct tuple comparisons with PyArrow scalar types are unreliable during membership checks, causing entries to remain unexpectedly.
**Example**:
``... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,035,796,151 | 61,389 | BUG: Incorrect Parsing of Timestamps in pd.to_datetime with Series with format="ISO8601" and UTC=True | closed | 2025-05-02T11:24:44 | 2025-05-06T18:29:21 | 2025-05-06T18:29:20 | https://github.com/pandas-dev/pandas/issues/61389 | true | null | null | PaulCalot | 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",
"Datetime",
"Timezones"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the clear issue! Confirmed on main. \n\nWhen you batch‐parse `[\"2023-10-15T10:30:00-12:00\", \"2023-10-15T14:30:00\"]` with `format=\"ISO8601\", utc=True`, the second (naive) timestamp wrongly reuses the `“–12:00”` offset and becomes `2023-10-16T02:30:00+00:00` instead of `2023-10-15T14:30:00+00:00`. T... |
3,035,790,674 | 61,388 | fix MultiIndex.difference not working with PyArrow timestamps (#61382) ,and some formating fix | closed | 2025-05-02T11:21:31 | 2025-05-02T11:26:59 | 2025-05-02T11:26:59 | https://github.com/pandas-dev/pandas/pull/61388 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61388 | https://github.com/pandas-dev/pandas/pull/61388 | NEREUScode | 0 | ## Problem
The `MultiIndex.difference` method fails to remove entries when the index contains PyArrow-backed timestamps (`timestamp[ns][pyarrow]`). This occurs because direct tuple comparisons with PyArrow scalar types are unreliable during membership checks, causing entries to remain unexpectedly.
**Example**:
``... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,034,492,987 | 61,387 | TYP: `npt._ArrayLikeInt_co` does not exist | open | 2025-05-01T19:02:57 | 2025-05-01T23:10:27 | null | https://github.com/pandas-dev/pandas/issues/61387 | true | null | null | jorenham | 0 | https://github.com/pandas-dev/pandas/blob/e55d90783bac30b75e7288380b15a62ab6e43f78/pandas/_typing.py#L91
I wouldn't recommend using these private internal type-aliases at all, but if you must, then you probably should import it from `numpy._typing`, because it is not exported by `numpy.typing`. | [
"Typing"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,034,147,446 | 61,386 | ENH: read_csv with usecols shouldn't change column order | open | 2025-05-01T15:50:33 | 2025-06-24T16:39:46 | null | https://github.com/pandas-dev/pandas/issues/61386 | true | null | null | amarvin | 10 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
The documentation for `pandas.read_csv(usecols=[...])` says that it treats the iterable list of columns like an unordered set (updated i... | [
"Enhancement",
"IO CSV",
"Needs Triage"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is also an issue for `pandas.read_excel(usecols=[...])`.",
"Others are confused by the current feature too and have to do a workaround: https://stackoverflow.com/a/40024462/6068036",
"take",
"Replace \n\nif usecols:\n usecols = set(usecols)\n\nWith\n\nif usecols:\n usecols = dict.fromkeys(usecols)... |
3,034,147,251 | 61,385 | BUG: to_sql works only for strings | open | 2025-05-01T15:50:27 | 2025-05-06T02:23:31 | null | https://github.com/pandas-dev/pandas/issues/61385 | true | null | null | pranav-ds | 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",
"IO SQL",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The block in question should only be hit when pandas falls back to `sqlite3`. What kind of connection are you supplying?",
"IG, There is no problem at all you can try this solution make you will Dtype correctly \n\n`import pandas as pd\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.types import DOUBLE,... |
3,032,828,511 | 61,384 | BLD: Try using shared memory utilities in Cython to reduce wheel sizes | closed | 2025-05-01T00:01:38 | 2025-05-16T02:07:29 | 2025-05-16T01:14:44 | https://github.com/pandas-dev/pandas/pull/61384 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61384 | https://github.com/pandas-dev/pandas/pull/61384 | lithomas1 | 5 | - [ ] 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... | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"around 10% savings in both compressed/uncompressed size\r\n(1MB compressed, 4MB uncompressed)\r\n\r\nscikit-learn seems to have gotten a lot more mileage out of this optimization...\r\n(they report around 25% savings)",
"This looks pretty good as is, and will definitely be worthwhile to do - it's a major gain in... |
3,032,500,896 | 61,383 | ENH: Implement pandas.read_iceberg | closed | 2025-04-30T21:00:23 | 2025-05-14T20:29:30 | 2025-05-14T20:29:30 | https://github.com/pandas-dev/pandas/pull/61383 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61383 | https://github.com/pandas-dev/pandas/pull/61383 | datapythonista | 11 | - [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 | [
"There is a test failure, for some reason PyIceberg is able to find the namespace and the table when using:\r\n\r\n```python\r\npyiceberg.catalog.load_catalog(**{\"uri\": f\"sqlite:///{path}/catalog.sqlite\"})\r\n```\r\n\r\nbut not when using:\r\n\r\n```python\r\npyiceberg.catalog.load_catalog(\"pandas_tests_catalo... |
3,031,402,515 | 61,382 | BUG: Multindex difference not working on columns with type Timestamp[ns][pyarrow] | open | 2025-04-30T14:06:06 | 2025-08-15T14:34:22 | null | https://github.com/pandas-dev/pandas/issues/61382 | true | null | null | bmaisonn | 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",
"setops",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for raising this! Confirmed on main. \n\n`MultiIndex.difference` doesn't exclude the matching row when the index includes a `timestamp[ns][pyarrow]` column. ",
"`MultiIndex._convert_can_do_stop` creates a MultiIndex internally from the provided list which results in a DatetimeIndex. This then doesn't comp... |
3,030,977,902 | 61,381 | Fix alignment in Series subtraction with MultiIndex, Index and NaN values (#60908) | open | 2025-04-30T11:21:39 | 2025-07-27T00:10:20 | null | https://github.com/pandas-dev/pandas/pull/61381 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61381 | https://github.com/pandas-dev/pandas/pull/61381 | rit4rosa | 2 | This pull request fixes #60908 , where subtracting a Series with a MultiIndex containing NaN values from a Series with a regular Index could lead to incorrect results or unexpected behavior.
The issue was caused by the _align_for_op method not properly handling cases where the left-hand Series had a MultiIndex and t... | [
"Bug",
"Indexing",
"Missing-data",
"MultiIndex",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi, just following up on this PR. Let me know if you have any feedback or if anything is needed from my side. Thank you",
"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... |
3,030,002,590 | 61,380 | ENH: Implement translations infrastructure | open | 2025-04-30T03:24:20 | 2025-08-06T15:48:46 | null | https://github.com/pandas-dev/pandas/pull/61380 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61380 | https://github.com/pandas-dev/pandas/pull/61380 | goanpeca | 39 | Hello team!
This PR is a proposal for adding the translations infrastructure to the pandas web page.
Following the discussion in https://github.com/pandas-dev/pandas/issues/56301, we (a group of folks working on the Scientific Python grant) have been working to set up infrastructure and translate the contents of... | [
"Docs",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"/preview",
"Website preview of this PR available at: https://pandas.pydata.org/preview/pandas-dev/pandas/61380/",
"Thanks @goanpeca for this. Do you mind adding some more context here? I can't see in https://github.com/Scientific-Python-Translations/pandas-translations much information, like what languages are... |
3,029,701,921 | 61,379 | DOC: Fix dark mode text visibility in Getting Started accordion (#60024) | closed | 2025-04-29T23:01:49 | 2025-04-30T16:21:16 | 2025-04-30T16:21:09 | https://github.com/pandas-dev/pandas/pull/61379 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61379 | https://github.com/pandas-dev/pandas/pull/61379 | danielpintosalazar | 3 | - [x] closes [#61377](https://github.com/pandas-dev/pandas/issues/61377) (duplicate of [#60024](https://github.com/pandas-dev/pandas/issues/60024))
### 📄 **Description**
This pull request fixes the issue described in [#61377](https://github.com/pandas-dev/pandas/issues/61377), where the text in the accordion con... | [
"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/61379/",
"Thanks @danielpintosalazar "
] |
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