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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,203,022,783 | 61,779 | TST: option_context bug on Mac GH#58055 | closed | 2025-07-04T14:50:58 | 2025-07-07T16:46:15 | 2025-07-07T16:42:39 | https://github.com/pandas-dev/pandas/pull/61779 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61779 | https://github.com/pandas-dev/pandas/pull/61779 | jbrockmendel | 1 | - [x] closes #58055 (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",
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,202,114,847 | 61,778 | BUG?: creating Categorical from pandas Index/Series with "object" dtype infers string | open | 2025-07-04T10:15:04 | 2025-07-15T13:50:11 | null | https://github.com/pandas-dev/pandas/issues/61778 | true | null | null | jorisvandenbossche | 4 | When creating a pandas Series/Index/DataFrame, I think we generally differentiate between passing a pandas object with `object` dtype and a numpy array with `object` dtype:
```
>>> pd.options.future.infer_string = True
>>> pd.Index(pd.Series(["foo", "bar", "baz"], dtype="object"))
Index(['foo', 'bar', 'baz'], dtype='o... | [
"Dtype Conversions",
"Categorical"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> (@jbrockmendel that's also your understanding?)\n\nYes.\n\n> So we want to preserver the dtype for the categories here as well?\n\nMakes sense.",
"How about we modify the Categorical constructor to distinguish between:\n\n* Pandas objects (Index/Series) with object dtype → preserve object dtype\n* Numpy array... |
3,201,065,687 | 61,776 | Request For Help: unexplained ArrowInvalid overflow | closed | 2025-07-04T02:04:25 | 2025-07-04T14:10:35 | 2025-07-04T14:10:31 | https://github.com/pandas-dev/pandas/pull/61776 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61776 | https://github.com/pandas-dev/pandas/pull/61776 | jbrockmendel | 5 | Because of #61775 and to address failures in #61732 I'm trying out calling pd.to_datetime in ArrowEA._box_pa_array when we have a timestamp type. AFAICT this isn't breaking anything at construction-time (see the assertion this adds, which isn't failing in any tests). What is breaking is subsequent subtraction operati... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> So my current hypothesis is that when we get to the pc.subtract_checked call, it isn't skipping the iNaT entry despite the null bit, and the subtraction for that entry is overflowing.\r\n\r\nI assume that is indeed what is happening here, because there is in any case an (unfortunately long-standing) bug for exac... |
3,201,008,776 | 61,775 | API/BUG: different constructor behavior for numpy vs pyarrow dt64tzs | closed | 2025-07-04T01:16:30 | 2025-07-07T16:54:31 | 2025-07-07T16:54:31 | https://github.com/pandas-dev/pandas/issues/61775 | true | null | null | jbrockmendel | 1 | ```python
import pandas as pd
dtype1 = "datetime64[ns, US/Eastern]"
dtype2 = "timestamp[ns, US/Eastern][pyarrow]"
ts = pd.Timestamp("2025-07-03 18:10")
>>> pd.Series([ts], dtype=dtype1)[0]
Timestamp('2025-07-03 18:10:00-0400', tz='US/Eastern')
>>> pd.Series([ts], dtype=dtype2)[0]
Timestamp('2025-07-03 14:10:00-0400... | [
"Bug",
"API - Consistency",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I see it is not documented very well (the [array constructor docstring](https://arrow.apache.org/docs/python/generated/pyarrow.array.html#pyarrow.array) does mention something about timezones, but that is only for the case of inferring, not when a type is specified), but AFAIK he behaviour of pyarrow is indeed to ... |
3,200,840,173 | 61,774 | CI: Add NumPy 1.26 test job | closed | 2025-07-03T22:53:51 | 2025-07-08T10:19:38 | 2025-07-08T10:19:37 | https://github.com/pandas-dev/pandas/pull/61774 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61774 | https://github.com/pandas-dev/pandas/pull/61774 | Anantanand005 | 1 | This PR adds a CI job to test Pandas with NumPy 1.26 to ensure compatibility with the latest version.
- Related to issue: [#61588](https://github.com/pandas-dev/pandas/issues/61588)
- Installs NumPy 1.26.0 explicitly and runs the full test suite
- Helps identify future compatibility issues with NumPy releases
#... | [
"CI",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Anantanand005 for the PR\r\n\r\nclosing as superseded by #61806"
] |
3,200,833,112 | 61,773 | BUG: Decimal(NaN) incorrectly allowed in ArrowEA constructor with tim… | closed | 2025-07-03T22:48:01 | 2025-07-07T17:32:11 | 2025-07-07T16:54:30 | https://github.com/pandas-dev/pandas/pull/61773 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61773 | https://github.com/pandas-dev/pandas/pull/61773 | jbrockmendel | 2 | …estamp type
- [x] closes #61775
- [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... | [
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Huh. the \"ArrowInvalid: overflow\" here is weird. will look into it",
"Thanks @jbrockmendel "
] |
3,200,716,258 | 61,772 | BUG: Calling dict(df.groupby(...)) raises TypeError: 'str' object is not callable despite valid inputs | open | 2025-07-03T21:39:11 | 2025-07-07T20:55:48 | null | https://github.com/pandas-dev/pandas/issues/61772 | true | null | null | kay-ou | 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",
"Groupby",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @kay-ou for the report.\n\nhttps://docs.python.org/3/library/stdtypes.html#dict:~:text=If%20no%20positional,the%20new%20dictionary.\n\nYes, the python builtin `dict` will first look for and presumably call a `keys` method.\n\n```python\ndf.groupby(\"security\").keys()\n# TypeError: 'str' object is not calla... |
3,200,714,976 | 61,771 | BUG[string]: incorrect index downcast in DataFrame.join | closed | 2025-07-03T21:38:28 | 2025-07-07T14:47:01 | 2025-07-07T13:15:03 | https://github.com/pandas-dev/pandas/pull/61771 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61771 | https://github.com/pandas-dev/pandas/pull/61771 | jbrockmendel | 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... | [
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"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 branch:\n```\ngit cherr... |
3,200,572,306 | 61,770 | BUG: Fix unpickling of string dtypes of legacy pandas versions | closed | 2025-07-03T20:35:31 | 2025-07-07T08:50:36 | 2025-07-07T07:41:22 | https://github.com/pandas-dev/pandas/pull/61770 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61770 | https://github.com/pandas-dev/pandas/pull/61770 | Liam3851 | 1 | - [x] closes #61763
- [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",
"Strings",
"IO Pickle"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks very much for the review @jorisvandenbossche, I've added pickles for 2.0-2.2 as extra checks and a whatsnew entry."
] |
3,200,479,757 | 61,769 | Improve MultiIndex label rename checks | open | 2025-07-03T19:50:23 | 2025-08-22T00:08:13 | null | https://github.com/pandas-dev/pandas/pull/61769 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61769 | https://github.com/pandas-dev/pandas/pull/61769 | TabLand | 1 | - [x] closes #55169
- [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",
"MultiIndex",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this."
] |
3,200,138,340 | 61,768 | BUG: NA.__and__, __or__, __xor__ with np.bool_ objects | closed | 2025-07-03T17:38:42 | 2025-07-03T22:57:17 | 2025-07-03T22:49:57 | https://github.com/pandas-dev/pandas/pull/61768 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61768 | https://github.com/pandas-dev/pandas/pull/61768 | jbrockmendel | 1 | - [x] closes #58427 (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... | [
"Missing-data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jbrockmendel "
] |
3,200,054,572 | 61,767 | Revert "ENH: Allow third-party packages to register IO engines" | closed | 2025-07-03T17:07:31 | 2025-07-03T17:07:42 | 2025-07-03T17:07:39 | https://github.com/pandas-dev/pandas/pull/61767 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61767 | https://github.com/pandas-dev/pandas/pull/61767 | jbrockmendel | 0 | Reverts pandas-dev/pandas#61642 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,198,875,537 | 61,766 | BUG: ensure to_numeric down-casts to uint64 for large unsigned integers | closed | 2025-07-03T10:24:24 | 2025-07-28T17:21:37 | 2025-07-28T17:21:36 | https://github.com/pandas-dev/pandas/pull/61766 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61766 | https://github.com/pandas-dev/pandas/pull/61766 | mohiuddin-khan-shiam | 1 | [to_numeric(..., downcast="unsigned")](cci:1://file:///d:/Github/pandas/pandas/core/tools/numeric.py:48:0-315:21) failed to honour the requested
[uint64](cci:1://file:///d:/Github/pandas/pandas/tests/tools/test_to_numeric.py:580:0-586:44) dtype when values exceeded `np.iinfo(np.int64).max`, returning
`float64` instea... | [
"Dtype Conversions"
] | 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."
] |
3,198,775,065 | 61,765 | chore: testing | closed | 2025-07-03T09:50:20 | 2025-07-03T09:52:02 | 2025-07-03T09:52:02 | https://github.com/pandas-dev/pandas/pull/61765 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61765 | https://github.com/pandas-dev/pandas/pull/61765 | gherulloa | 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 | [] |
3,198,494,657 | 61,764 | ENH: speed up wide DataFrame.line plots by using a single LineCollection | open | 2025-07-03T08:16:19 | 2025-08-22T00:08:15 | null | https://github.com/pandas-dev/pandas/pull/61764 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61764 | https://github.com/pandas-dev/pandas/pull/61764 | EvMossan | 2 | <!--
Thank you for your contribution to pandas!
Please fill in the checklist below. Mark completed items with an “x”.
-->
### What does this PR change?
* **Speeds up `DataFrame.plot(kind="line")` when the frame is “wide”.**
* If the DataFrame has **> 200 columns**, a **numeric index** (e.g. `RangeIndex`
... | [
"Visualization",
"Performance",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@jbrockmendel Done in the latest commit, thanks!",
"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 i... |
3,197,252,119 | 61,763 | BUG: StringDtype objects from pandas <2.3.0 cannot be reliably unpickled in 2.3.0. | closed | 2025-07-02T21:35:45 | 2025-07-07T07:41:23 | 2025-07-07T07:41:23 | https://github.com/pandas-dev/pandas/issues/61763 | true | null | null | Liam3851 | 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",
"Strings",
"IO Pickle"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,196,664,652 | 61,762 | Update __init__.py | closed | 2025-07-02T17:28:32 | 2025-07-02T21:20:11 | 2025-07-02T21:20:11 | https://github.com/pandas-dev/pandas/pull/61762 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61762 | https://github.com/pandas-dev/pandas/pull/61762 | phanipaladugula | 1 | Added a quick explanation for Extension Arrays to better understand for new comers.
DOC: Wrap long comment lines to fix E501 error
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the PR, but I don't think this adds much to this file so closing.\r\n\r\nIf interested, you're welcome to tackle issues label `good first issue`"
] |
3,196,611,258 | 61,761 | Update __init__.py | closed | 2025-07-02T17:09:50 | 2025-07-02T17:17:06 | 2025-07-02T17:17:06 | https://github.com/pandas-dev/pandas/pull/61761 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61761 | https://github.com/pandas-dev/pandas/pull/61761 | phanipaladugula | 0 | Added a quick explanation about Extension Arrays to better understand for the new users
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,195,611,750 | 61,760 | BUG: .describe() doesn't work for EAs #61707 | closed | 2025-07-02T11:41:36 | 2025-07-20T05:48:46 | 2025-07-20T05:48:33 | https://github.com/pandas-dev/pandas/pull/61760 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61760 | https://github.com/pandas-dev/pandas/pull/61760 | kernelism | 0 | This PR fixes a bug where Series.describe() fails on certain `ExtensionArray` dtypes such as `pint[kg]`, due to attempting to cast the result to `Float64Dtype`. This is because some of the produced statistics are not castable to float, which raises errors like DimensionalityError.
We now avoid forcing a Float64Dtype... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,194,982,752 | 61,759 | chore: remove redundant words in comment | closed | 2025-07-02T08:02:05 | 2025-07-02T16:48:24 | 2025-07-02T16:48:18 | https://github.com/pandas-dev/pandas/pull/61759 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61759 | https://github.com/pandas-dev/pandas/pull/61759 | ianlv | 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... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @ianlv "
] |
3,194,484,704 | 61,758 | BUG: user expected pd.isna to be False for NaNs with Float64Dtype | open | 2025-07-02T04:19:28 | 2025-07-16T02:39:48 | null | https://github.com/pandas-dev/pandas/issues/61758 | true | null | null | abhmul | 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",
"PDEP missing values"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I confirmed on **pandas 2.3.0** + **NumPy 2.1.2** that after applying a NumPy ufunc the nullable Float64 dtype mask isn’t catching NaNs:\n\n```\ndf_plain = df.astype(float)\nprint(df_plain.isna().any().any()) # True\n```\n\nThis suggests ```Float64Dtype.isna()``` isn’t recognizing the NaN created by ```np.sqrt```... |
3,193,689,367 | 61,757 | TST (string dtype): resolve skip in misc test_memory_usage | closed | 2025-07-01T20:16:37 | 2025-07-02T09:02:49 | 2025-07-02T09:02:48 | https://github.com/pandas-dev/pandas/pull/61757 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61757 | https://github.com/pandas-dev/pandas/pull/61757 | jorisvandenbossche | 0 | Addressing one of the remaining xfail/skips for the string dtype, see https://github.com/pandas-dev/pandas/pull/61727#issuecomment-3020456375 for context | [
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,193,400,503 | 61,756 | DOC: Pass docstring validation for Index.infer_objects | closed | 2025-07-01T18:12:29 | 2025-07-01T19:14:47 | 2025-07-01T19:14:44 | https://github.com/pandas-dev/pandas/pull/61756 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61756 | https://github.com/pandas-dev/pandas/pull/61756 | mroeschke | 1 | Currently failing on main.
Missed in https://github.com/pandas-dev/pandas/pull/61736 | [
"Docs",
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Merging to get CI to green"
] |
3,193,365,754 | 61,755 | Revert "[2.3.x] DEPS: Drop Python 3.9 (#60792)" | closed | 2025-07-01T18:00:36 | 2025-07-03T15:55:55 | 2025-07-03T07:21:26 | https://github.com/pandas-dev/pandas/pull/61755 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61755 | https://github.com/pandas-dev/pandas/pull/61755 | mroeschke | 0 | This reverts commit 2e617d36af3592a371fe09a1aec8282f9db550da.
Re-enables 3.9 wheels and testing for the 2.3.x branch
xref https://github.com/pandas-dev/pandas/issues/61590
- [ ] closes #61579 (Replace xxxx with the GitHub issue number) | [
"Build",
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,193,186,405 | 61,754 | [backport 2.3.x] TST/CI: temporary upper pin for scipy in downstream tests for compat with statsmodels (#61750) | closed | 2025-07-01T16:56:26 | 2025-07-01T19:48:58 | 2025-07-01T19:48:53 | https://github.com/pandas-dev/pandas/pull/61754 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61754 | https://github.com/pandas-dev/pandas/pull/61754 | jorisvandenbossche | 0 | Backport of https://github.com/pandas-dev/pandas/pull/61750 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,192,220,348 | 61,753 | BUG: Segmentation fault when misusing `VariableWindowIndexer.get_window_bounds` | closed | 2025-07-01T12:09:36 | 2025-07-02T16:46:47 | 2025-07-02T16:46:47 | https://github.com/pandas-dev/pandas/issues/61753 | true | null | null | BergLucas | 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",
"Window",
"Segfault",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke i suspect this is a non-issue, but maybe an underscore is appropriate somewhere?",
"Yeah this is a private API (`.core`) that we call correctly internally. `get_window_bounds` is probably rightfully public since users have access to its subclass `BaseIndexer`.\n\nThanks for the issue but going to clos... |
3,191,348,254 | 61,752 | [backport 2.3.x] CI: clean up wheel build workarounds now that Cython 3.1.0 is out (#61446) | closed | 2025-07-01T08:27:22 | 2025-07-04T08:51:29 | 2025-07-03T15:56:45 | https://github.com/pandas-dev/pandas/pull/61752 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61752 | https://github.com/pandas-dev/pandas/pull/61752 | jorisvandenbossche | 1 | Backport of https://github.com/pandas-dev/pandas/pull/61446 | [
"Build"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jorisvandenbossche "
] |
3,191,300,670 | 61,751 | [backport 2.3.x] DOC: move relevant whatsnew changes from 2.3.0 to 2.3.1 file (#61698) | closed | 2025-07-01T08:16:13 | 2025-07-01T12:08:14 | 2025-07-01T12:08:10 | https://github.com/pandas-dev/pandas/pull/61751 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61751 | https://github.com/pandas-dev/pandas/pull/61751 | jorisvandenbossche | 0 | Backport of https://github.com/pandas-dev/pandas/pull/61698 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,191,232,389 | 61,750 | TST/CI: temporary upper pin for scipy in downstream tests for compat with statsmodels | closed | 2025-07-01T07:59:53 | 2025-07-01T16:57:03 | 2025-07-01T16:41:55 | https://github.com/pandas-dev/pandas/pull/61750 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61750 | https://github.com/pandas-dev/pandas/pull/61750 | jorisvandenbossche | 3 | See https://github.com/statsmodels/statsmodels/issues/9542 / https://github.com/statsmodels/statsmodels/issues/9584 | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jorisvandenbossche ",
"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 ... |
3,191,213,916 | 61,749 | TST: fix decimal cast error message for pyarrow nightly tests | closed | 2025-07-01T07:55:04 | 2025-07-01T16:46:29 | 2025-07-01T16:07:11 | https://github.com/pandas-dev/pandas/pull/61749 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61749 | https://github.com/pandas-dev/pandas/pull/61749 | jorisvandenbossche | 2 | PyArrow seems to have updated the error message, this updates our assert to catch both "Decimal" and "Decimal128" | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"thanks @jorisvandenbossche ",
"(we don't yet have this test on x, so the backport label was not necessary)"
] |
3,190,159,121 | 61,748 | BUG: Fix assert_frame_equal with check_dtype=False for pd.NA dtype differences (GH#61473) | open | 2025-06-30T23:26:04 | 2025-08-22T00:08:16 | null | https://github.com/pandas-dev/pandas/pull/61748 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61748 | https://github.com/pandas-dev/pandas/pull/61748 | gamzeozgul | 2 | - [x] closes #61473
- [x] tests added / passed
- [x] Ensure all linting tests pass
- [x] whatsnew entry
## Problem
When comparing two DataFrames containing `pd.NA` values with `check_dtype=False`, `assert_frame_equal` fails when the DataFrames only differ in dtype (object vs Int32). This happens because `pd.NA` ... | [
"Bug",
"Testing",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hello,\r\n\r\nIt seems that the \"Downstream Compat\" CI job is failing with an `ImportError` related to `statsmodels` and `scipy`. This appears to be an issue with the CI environment's dependencies (e.g., version mismatch between `statsmodels` and `scipy`), and not directly related to the changes introduced in th... |
3,189,405,433 | 61,747 | PERF: Arrow dtypes are much slower than Numpy for DataFrame.apply | open | 2025-06-30T18:04:33 | 2025-07-13T13:35:37 | null | https://github.com/pandas-dev/pandas/issues/61747 | true | null | null | ehsantn | 8 | The same code with `DataFrame.apply` is >4x slower when the data is in Arrow dtypes versus Numpy.
### 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 panda... | [
"Performance",
"Apply",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Any hotspots show up in profiling?",
"Profiler output is a bit hard to read as usual. Here are some snakeviz screenshots. The [fast_xs](https://github.com/pandas-dev/pandas/blob/dc1e367598a6b0b2c0ee700b3805f72aaccbda86/pandas/core/internals/managers.py#L1095) function has different code paths for `ExtensionDtype... |
3,189,351,137 | 61,746 | CLN: references/tests for item_cache | closed | 2025-06-30T17:44:51 | 2025-07-07T16:29:17 | 2025-07-07T16:29:17 | https://github.com/pandas-dev/pandas/issues/61746 | true | null | null | jbrockmendel | 1 | test_to_dict_of_blocks_item_cache is about _item_cache invalidation, but IIRC we got rid of that cache a while back. grepping for "item_cache" i see a bunch of comments that are no longer accurate and tests that are no longer testing anything. These can be updated/removed. | [
"Clean"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,189,341,197 | 61,745 | Backport PR #61744 on branch 2.3.x (CI: if no docstring, create error GL08 and don't validate - fix for numpydoc 1.9) | closed | 2025-06-30T17:41:40 | 2025-07-01T08:09:41 | 2025-07-01T08:09:41 | https://github.com/pandas-dev/pandas/pull/61745 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61745 | https://github.com/pandas-dev/pandas/pull/61745 | Dr-Irv | 1 | backporting the change related to `numpydoc` upgrade
Backport of #61744 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks!"
] |
3,186,831,817 | 61,744 | CI: if no docstring, create error GL08 and don't validate - fix for numpydoc 1.9 | closed | 2025-06-30T01:34:01 | 2025-07-01T08:08:39 | 2025-06-30T16:52:17 | https://github.com/pandas-dev/pandas/pull/61744 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61744 | https://github.com/pandas-dev/pandas/pull/61744 | Dr-Irv | 5 | `validate_docstrings` was failing with `numpydoc` 1.9 on cython methods that have no docstrings. When no docstring, there is nothing to validate.
Partially addresses the CI issue mentioned in #61740
| [
"CI",
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"is this an alternative to #61725?",
"> is this an alternative to #61725?\r\n\r\nYes, and it allows us to use `numpydoc` 1.9",
"Thanks @Dr-Irv ",
"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 u... |
3,186,530,460 | 61,743 | BUG: Assigning boolean series with boolean indexer | closed | 2025-06-29T20:15:55 | 2025-07-01T19:04:04 | 2025-07-01T17:47:12 | https://github.com/pandas-dev/pandas/pull/61743 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61743 | https://github.com/pandas-dev/pandas/pull/61743 | yuanx749 | 1 | Supersedes #60127
- [x] closes #57338 (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... | [
"Bug",
"Indexing",
"PDEP6-related"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @yuanx749 "
] |
3,186,492,364 | 61,742 | BUG: fillna with DataFrame input should preserve dtype when possible | open | 2025-06-29T19:26:42 | 2025-07-31T00:09:06 | null | https://github.com/pandas-dev/pandas/pull/61742 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61742 | https://github.com/pandas-dev/pandas/pull/61742 | iabhi4 | 2 | When filling a DataFrame with another DataFrame using `fillna`, columns with matching dtypes were being unnecessarily cast to `object` due to use of `np.where`.
This PR updates the logic to use pandas’ `Series.where`, which is dtype-safe and respects extension and datetime types.
- [x] Closes #61568
- [x] Adds a... | [
"Bug",
"Dtype Conversions",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Since we now operate column-wise and use `Series.where `instead of `np.where`, so it keeps dtype safety as suggested by @jbrockmendel\r\n\r\nThis also preserves extension dtypes like `string[pyarrow]`, which used to get cast to object. Because of that, `test_fillna_dataframe_preserves_dtypes_mixed_columns` is fail... |
3,186,475,467 | 61,741 | TST: Test coverage for Excel Formatter.py | closed | 2025-06-29T19:07:46 | 2025-07-01T02:34:34 | 2025-07-01T02:34:34 | https://github.com/pandas-dev/pandas/pull/61741 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61741 | https://github.com/pandas-dev/pandas/pull/61741 | lsgordon | 0 | - ✅ [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).
Added tests to the ExcelForm... | [
"Testing",
"IO Excel"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,186,432,260 | 61,740 | CI Failures due to new scipy and new numpydoc | closed | 2025-06-29T18:17:31 | 2025-08-13T18:09:34 | 2025-08-13T18:09:34 | https://github.com/pandas-dev/pandas/issues/61740 | true | null | null | Dr-Irv | 3 | The job `Downstream Compat` is failing in CI because `statsmodels` 0.14.4 is incompatible with `scipy` 1.16.0. The latter was released on June 22, so that's why we have recent failures.
Should we lock down the `scipy` version to 1.15.3 in `ci/deps/actions-311-downstream_compat.yaml` ?
The job `Docstring validation,... | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Regarding `statsmodels` and `scipy` - https://github.com/statsmodels/statsmodels/issues/9584\n",
"Opened https://github.com/pandas-dev/pandas/pull/61750 as a temporary fix for the statsmodels/scipy issue",
"closed via #61933 "
] |
3,186,142,198 | 61,739 | DOC: Fix grammar in AUTHORS.md | closed | 2025-06-29T12:56:53 | 2025-06-30T17:18:42 | 2025-06-30T17:18:36 | https://github.com/pandas-dev/pandas/pull/61739 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61739 | https://github.com/pandas-dev/pandas/pull/61739 | sangampaudel530 | 8 | This pull request fixes minor grammatical errors and improves clarity in the AUTHORS.md file to enhance the overall documentation quality. Thank you for considering this contribution! | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hello, Happy to Contribute first time in this repository ! ",
"Hi all, just a quick note , the current failing checks are due to unrelated dependency and docstring validation issues.\r\nThis PR only contains grammar fixes in author.md and does not affect the code or dependencies.\r\nI kindly suggest these extern... |
3,186,136,473 | 61,738 | ENH: Added features of issue 61691 | closed | 2025-06-29T12:48:13 | 2025-06-30T17:21:32 | 2025-06-30T17:19:19 | https://github.com/pandas-dev/pandas/pull/61738 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61738 | https://github.com/pandas-dev/pandas/pull/61738 | ishaan1234 | 4 | - [x] closes #61691
- [ ] [Tests added]
- [ ] All [code checks passed]
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@ishaan1234 generally its best to wait to implement a requested feature until there is a consensus in the issue that it is something we want to do. Requests for new top-level APIs usually get politely rejected.",
"Thanks @ishaan1234 but as mentioned, this feature needs discussion before a pull request will be c... |
3,185,975,178 | 61,737 | ENH: Parallelization support for pairwise correlation | closed | 2025-06-29T09:44:11 | 2025-07-21T17:10:01 | 2025-07-21T17:10:00 | https://github.com/pandas-dev/pandas/pull/61737 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61737 | https://github.com/pandas-dev/pandas/pull/61737 | gangula-karthik | 3 | - [X] closes #40956
- [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",
"Multithreading",
"cov/corr"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks like webAssembly/emscripten environments don't have OpenMP support. To get around this Im thinking of modifying the menson.build and setup.py files to conditionally include OpenMP compiler and linker flags only when not building for WebAssembly/Emscripten. (WIP)",
"I'm positive on adding parallelization as... |
3,185,740,721 | 61,736 | DOC: Add missing Index.infer_objects link to API reference | closed | 2025-06-29T04:30:29 | 2025-06-30T17:20:16 | 2025-06-30T17:20:11 | https://github.com/pandas-dev/pandas/pull/61736 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61736 | https://github.com/pandas-dev/pandas/pull/61736 | PreethamYerragudi | 2 | - [x] closes #61733
- [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 - NA
- [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 | [
"pre-commit.ci autofix",
"Thanks @PreethamYerragudi "
] |
3,185,706,722 | 61,735 | adding pandas.api.typing.aliases and docs | open | 2025-06-29T03:38:17 | 2025-08-17T21:22:45 | null | https://github.com/pandas-dev/pandas/pull/61735 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61735 | https://github.com/pandas-dev/pandas/pull/61735 | Dr-Irv | 24 | - [x] closes #55231
- [x] [Tests added and passed: `pandas/tests/test_api.py:TestApi.test_api_typing_aliases()`
- [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/develo... | [
"Typing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"> If we are to make these public, what is the process of making changes to them?\r\n\r\nMy suggestion would be that if someone adds an alias to `pandas._typing.py` that is used as an argument or return type of a documented pandas method, then they should update the `pandas/api/typing/aliases.py` file and `doc/sour... |
3,185,620,996 | 61,734 | Removal of members from pandas-triage team | open | 2025-06-29T00:42:58 | 2025-07-15T22:23:22 | null | https://github.com/pandas-dev/pandas/issues/61734 | true | null | null | Dr-Irv | 7 | If your Github handle is in the list below, we intend to remove you from the `pandas-triage` team due to lack of activity in the `pandas` repository since the beginning of 2024.
If you have any objection to such removal, please make a note in this issue by July 31, 2025. Otherwise, there is no need to respond.
@paul... | [
"Admin"
] | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@Dr-Irv although inactive, I would like to extend my triage role, since I plan to make some time here and there.",
"@Dr-Irv No objection here; thanks for reaching out!",
"Thank you for this @Dr-Irv, I would have loved to participate more on pandas, but truth to be told, I lack time to do so. If that's ever cha... |
3,185,343,479 | 61,733 | DOC: Index.infer_objects is missing from docs | closed | 2025-06-28T18:12:20 | 2025-06-30T17:20:12 | 2025-06-30T17:20:12 | https://github.com/pandas-dev/pandas/issues/61733 | true | null | null | Dr-Irv | 0 | ### 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.Index.html
### Documentation problem
While `infer_objects()` is ... | [
"Docs",
"good first issue",
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,185,280,323 | 61,732 | API: consistent NaN treatment for pyarrow dtypes | open | 2025-06-28T17:23:26 | 2025-08-11T15:04:31 | null | https://github.com/pandas-dev/pandas/pull/61732 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61732 | https://github.com/pandas-dev/pandas/pull/61732 | jbrockmendel | 6 | This is the third of several POCs stemming from the discussion in https://github.com/pandas-dev/pandas/issues/61618 (see #61708, #61716). The main goal is to see how invasive it would be.
Specifically, this changes the behavior of pyarrow floating dtypes to treat NaN as distinct from NA in the constructors and `__se... | [
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke when convenient id like to get your thoughts before getting this working. it looks pretty feasible.",
"Generally +1 in this direction. Glad to see the changes to make this work are fairly minimal",
"Not able to judge the implementation, but I'm +1 on the concept.",
"While I am personally in favor... |
3,185,018,405 | 61,731 | ENH: Type support for variables in `DataFrame.query()` | closed | 2025-06-28T14:29:23 | 2025-06-29T05:00:09 | 2025-06-29T05:00:09 | https://github.com/pandas-dev/pandas/issues/61731 | true | null | null | malekzada | 0 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Now using variables inside `df.query("col > @my_var")` doesn’t produce strong typing:
IDEs don’t catch type mismatches (e.g. `my_var` is... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,184,817,013 | 61,730 | BUG: `read_csv()` : inconsistent dtype and content parsing. | closed | 2025-06-28T10:24:36 | 2025-07-19T15:50:22 | 2025-07-19T15:50:19 | https://github.com/pandas-dev/pandas/issues/61730 | true | null | null | 945fc41467 | 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi, I'd like to work on this issue. I've reproduced it locally and observed the problems as described. Before starting on a fix, I wanted to propose a few possible solution directions and ask for guidance on which approach aligns best with pandas' design philosophy.\n\n# ✅Observed Problems\n## 1. Quoted values bei... |
3,184,743,016 | 61,729 | BUG: AttributeError in pandas.core.algorithms.diff when passing non-numeric types | closed | 2025-06-28T08:45:26 | 2025-08-12T17:29:46 | 2025-06-30T17:32:52 | https://github.com/pandas-dev/pandas/pull/61729 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61729 | https://github.com/pandas-dev/pandas/pull/61729 | akshat62 | 1 | …g non-numeric types
- [ ] closes #61728
- [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.... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for this PR but closing per https://github.com/pandas-dev/pandas/issues/61728#issuecomment-3020121533"
] |
3,184,738,140 | 61,728 | BUG: AttributeError in pandas.core.algorithms.diff when passing non-numeric types | closed | 2025-06-28T08:40:10 | 2025-06-30T17:32:41 | 2025-06-30T17:32:41 | https://github.com/pandas-dev/pandas/issues/61728 | true | null | null | akshat62 | 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 I don't see this error on main\n\n```python\nIn [1]: import pandas as pd\n ...: pd.Series([1, 2, 3]).diff(\"hello\")\n\nFile ~/pandas/core/series.py:2837, in Series.diff(self, periods)\n 2835 if not lib.is_integer(periods):\n 2836 if not (is_float(periods) and periods.is_integer()):\n-> 2837 ... |
3,184,264,155 | 61,727 | TST[string]: update expecteds for using_string_dtype to fix xfails | closed | 2025-06-27T22:59:38 | 2025-07-23T08:30:50 | 2025-07-10T16:47:38 | https://github.com/pandas-dev/pandas/pull/61727 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61727 | https://github.com/pandas-dev/pandas/pull/61727 | jbrockmendel | 7 | It isn't 100% obvious that the new repr for Categoricals is an improvement, but it's non-crazy. One of the remaining xfails one is for `eval(repr(categorical_index))` round-tripping that won't be fixable unless we revert back to the old repr behavior.
I'm pretty sure that the fix in test_astype_dt64_to_string is co... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The JSON issues stem back to the fact that:\r\n\r\n```python\r\n>>> pd.Series([None, '', 'c']).astype(object)\r\n```\r\n\r\nyields different behavior with/without the future string dtype. In the \"old\" world, this would preserve the value of `None` but in the new world, `None` gets cast to a missing value indicat... |
3,184,170,974 | 61,726 | CI: temporarily pin numpydoc<1.7 to unblock docstring validation (GH#61720) | closed | 2025-06-27T21:50:17 | 2025-06-27T23:37:37 | 2025-06-27T23:34:50 | https://github.com/pandas-dev/pandas/pull/61726 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61726 | https://github.com/pandas-dev/pandas/pull/61726 | EvMossan | 1 | Temporarily pin **numpydoc<1.7** to unblock the *docstring-validation* job.
`numpydoc` 1.7.0 raises
`AttributeError: 'getset_descriptor' object has no attribute '__module__'`
inside `numpydoc/validate.py`, causing pandas’ *Code Checks / Docstring validation*
step to fail before any pandas code is run (see GH ... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Superseded by #61725"
] |
3,183,578,485 | 61,725 | DOC: Pin numpydoc=1.8.0 | closed | 2025-06-27T17:24:25 | 2025-06-30T17:22:51 | 2025-06-30T16:53:34 | https://github.com/pandas-dev/pandas/pull/61725 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61725 | https://github.com/pandas-dev/pandas/pull/61725 | fangchenli | 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... | [
"Docs",
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Is there a way for us to replace our `numpydoc` usage so we could use a `numpydoc>=1.9.0` instead?",
"> Is there a way for us to replace our `numpydoc` usage so we could use a `numpydoc>=1.9.0` instead?\r\n\r\nIt probably needs to be fixed from the numpydoc side. We could pin it for now to make the CI green.",
... |
3,183,262,545 | 61,724 | DOC: add sections about big new features (CoW, string dtype) to 3.0.0 whatsnew notes | closed | 2025-06-27T15:44:00 | 2025-08-15T11:42:04 | 2025-08-15T11:41:49 | https://github.com/pandas-dev/pandas/pull/61724 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61724 | https://github.com/pandas-dev/pandas/pull/61724 | jorisvandenbossche | 2 | We don't actually yet list the bigger features (string dtype, CoW, no silent downcasting) in the 3.0.0 whatsnew page, so starting to do that here.
Already pushed a section about string dtype, will further add a section about CoW and the downcasting. | [
"Docs",
"Release"
] | 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.",
"Going to merge this to have so... |
3,183,208,045 | 61,723 | DEPS: bump pyarrow minimum version from 10.0 to 12.0 | closed | 2025-06-27T15:25:10 | 2025-07-03T08:18:47 | 2025-07-03T08:18:42 | https://github.com/pandas-dev/pandas/pull/61723 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61723 | https://github.com/pandas-dev/pandas/pull/61723 | jorisvandenbossche | 3 | For our support window of 2 years, we can bump the minimum pyarrow version to 12.0.1 (see list of release dates here: https://arrow.apache.org/release/, we could also directly bump to 13 assuming the final 3.0 release will happen in 1-2 months). | [
"Dependencies",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke this should be ready now (all tests are green)",
"> Could you also update the table under the `Increased minimum versions for dependencies` section in the `v3.0.0.rst` whatsnew?\r\n\r\nDone!",
"Going to merge this so I can update https://github.com/pandas-dev/pandas/pull/61722"
] |
3,182,892,849 | 61,722 | String dtype: turn on by default | closed | 2025-06-27T13:43:03 | 2025-07-16T22:29:00 | 2025-07-16T17:07:20 | https://github.com/pandas-dev/pandas/pull/61722 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61722 | https://github.com/pandas-dev/pandas/pull/61722 | jorisvandenbossche | 9 | Now that 2.3.0 is released, time to switch the default on main to prepare for a 3.0 release (and also such that people using nightlies get this)
I assume this might also still uncover some failing tests. And the docstrings will still fail for sure. | [
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | [
"cc @rhshadrach I remember you gave the feedback when CoW option was removed (actually removed, without ability to turn CoW off), that it might be good to keep the option working for some time? (so that if you run into issues, you can still turn it off temporarily) \r\n\r\nShall we do that here?\r\n\r\nAnd if we do... |
3,182,668,533 | 61,721 | DOC: https://pandas.pydata.org/pandas-docs/version/2.3 does not work | closed | 2025-06-27T12:29:39 | 2025-07-08T17:52:36 | 2025-07-08T07:47:11 | https://github.com/pandas-dev/pandas/issues/61721 | true | null | null | gaborbernat | 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
https://pandas.pydata.org/pandas-docs/version/2.3
### Documentation problem
https://pandas.pydata.org/pandas-docs/ve... | [
"Docs",
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"cc @mroeschke ",
"Hello maintainers! 👋\n\nI understand that these floating version URLs usually redirect to the latest patch version (like `2.3.0`, `2.3.1`, etc.). I'd love to help fix this by setting up the redirect or symlink, if possible.\n\nCould you please guide me on where the floating version redirects a... |
3,182,208,803 | 61,720 | BUG: CI docstring-validation fails with AttributeError in numpydoc validate.py | closed | 2025-06-27T10:00:20 | 2025-06-27T23:40:55 | 2025-06-27T23:40:55 | https://github.com/pandas-dev/pandas/issues/61720 | true | null | null | EvMossan | 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",
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"If maintainers confirm this as a valid issue that needs fixing, I'm happy to submit a PR with the fix.",
"Superseded by PR #61725, which pins numpydoc==1.8.0 and fixes the CI failure.\nClosing in favour of that solution.\n"
] |
3,182,128,649 | 61,719 | BUG: mapping categorical with single category to boolean returns category instead of bool dtype | open | 2025-06-27T09:37:26 | 2025-07-01T05:08:49 | null | https://github.com/pandas-dev/pandas/issues/61719 | true | null | null | kdebrab | 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",
"Categorical",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"@kdebrab \nThe issue is happening here:\n\nhttps://github.com/pandas-dev/pandas/blob/35b0d1dcadf9d60722c055ee37442dc76a29e64c/pandas/core/arrays/categorical.py#L1583-L1585\n\nIn the first case, `new_categories` would be `Index([False], dtype='bool')` and since its unique, it ends up returning a `Categori... |
3,181,825,834 | 61,718 | CI: add PyPI Trusted-Publishing “publish” job to wheels workflow (#61669) | open | 2025-06-27T08:03:45 | 2025-07-29T00:55:31 | null | https://github.com/pandas-dev/pandas/pull/61718 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61718 | https://github.com/pandas-dev/pandas/pull/61718 | EvMossan | 5 | - [x] closes #61669
- [x] all code checks passed (`pre-commit` & CI)
- [x] added an entry in `doc/source/whatsnew/v3.0.0.rst`
### Summary
This PR enables **Trusted Publishing (OIDC)** uploads to PyPI when a GitHub release is published.
#### What’s changed
* **.github/workflows/wheels.yml**
* adds a new `pu... | [
"Enhancement",
"Build",
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"CI failed in the docstring-validation step with \r\n ```\r\nAttributeError: 'getset_descriptor' object has no attribute '__module__'. Did you mean: '__reduce__'?\r\n ``` \r\nThis occurs before my code runs, so it isn’t caused by the changes in this PR. \r\nIt looks related to the latest numpydoc release. \r\nI... |
3,181,520,505 | 61,717 | BUG: Raise OutOfBoundsDatetime in DataFrame.replace when value exceeds datetime64[ns] bounds (GH#61671) | open | 2025-06-27T06:19:20 | 2025-08-14T00:08:30 | null | https://github.com/pandas-dev/pandas/pull/61717 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61717 | https://github.com/pandas-dev/pandas/pull/61717 | iabhi4 | 5 | Fixes a bug where `DataFrame.replace` would raise a generic `AssertionError` when trying to replace `np.nan` in a `datetime64[ns]` column with an out-of-bounds `datetime.datetime` object (e.g., `datetime(3000, 1, 1)`).
This PR fixes that by explicitly raising `OutOfBoundsDatetime` when the replacement datetime can'... | [
"Bug",
"Datetime",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"looking into the CI failures",
"Regarding CI failures —\r\n\r\nSo after the changes in `find_result_type`, we're now catching cases like `Timestamp('1677-09-21 00:12:43.145224193')` early and raising `OutOfBoundsDatetime` during coercion itself, which makes sense and is in line with what #56410 was aiming for (n... |
3,180,645,077 | 61,716 | POC: PDEP16 default to masked nullable dtypes | closed | 2025-06-26T22:30:58 | 2025-07-29T16:09:42 | 2025-07-29T16:09:42 | https://github.com/pandas-dev/pandas/pull/61716 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61716 | https://github.com/pandas-dev/pandas/pull/61716 | jbrockmendel | 1 | This is the second of several POCs stemming from the discussion in #61618 (see also #61708). The main goal is to see how invasive it would be.
Specifically, this implements the part of PDEP16 #58988 that changes the default numeric/bool dtypes to use numpy-nullable dtypes. So `pd.Series(foo)` will behave roughly l... | [
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This served its purpose of getting an idea how difficult getting this working would be. Closing."
] |
3,180,637,092 | 61,715 | BUG/API: floordiv by zero in Int64Dtype | closed | 2025-06-26T22:26:46 | 2025-06-27T01:50:41 | 2025-06-27T01:50:40 | https://github.com/pandas-dev/pandas/issues/61715 | true | null | null | jbrockmendel | 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Closing as duplicate of #30188"
] |
3,179,457,537 | 61,714 | BUG: doing df.to_parquet and then reading it with pd.read_parquet causes KeyError | open | 2025-06-26T15:09:33 | 2025-07-19T16:52:16 | null | https://github.com/pandas-dev/pandas/issues/61714 | true | null | null | elbg | 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",
"MultiIndex",
"IO Parquet",
"Nested Data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"replace \n```py \ndf.to_parquet(\"temp.parquet\")\n``` \nwith \n```py \ndf.reset_index().to_parquet(\"temp.parquet\")\n```\nit worked for me, maybe it works for you too.",
"Yup that's another workaround. However, I would rather have pandas handling the index, rather than resetting it when saving to parquet and s... |
3,179,319,690 | 61,713 | BUG: Inconsitent behaviour for different backends due to nullable bool values | closed | 2025-06-26T14:25:31 | 2025-07-19T17:00:10 | 2025-07-19T17:00:06 | https://github.com/pandas-dev/pandas/issues/61713 | true | null | null | SSchleehauf | 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",
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report!\n\n> Be consitant, fill the bool NA value with False\n\nI think you're asking for pandas to somehow override the behavior of just `all(...)` and not impact `bool(pd.NA)`. I do not think this is possible.\n\nOn the other hand, there are many issues and discussions about `bool(pd.NA)`, I do no... |
3,178,844,240 | 61,712 | BUG: .round causes TypeError / NaN- | open | 2025-06-26T11:46:35 | 2025-08-08T06:57:21 | null | https://github.com/pandas-dev/pandas/issues/61712 | true | null | null | SSchleehauf | 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",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@SSchleehauf anything you can do to trim down the example to focus on the relevant issue would be helpful (https://matthewrocklin.com/minimal-bug-reports.html)",
"@jorisvandenbossche i think this would be addressed by implementing `NA.__round__()` to return NA. Thoughts?",
"I added a minimal example below. Af... |
3,178,587,943 | 61,711 | Writing data to mysql database using df.to_sql method gives exception | open | 2025-06-26T10:10:16 | 2025-07-15T21:40:06 | null | https://github.com/pandas-dev/pandas/issues/61711 | true | null | null | MohammadHilal1 | 1 | In my airflow project i am trying to load data to mysql database using df.to_mysql method but it gives me exception
AttributeError: 'Connection' object has no attribute 'cursor'
The code i am trying to execute is
def load_market_data(flattened_df_json):
records = json.loads(flattened_df_json)
df = pd.... | [
"IO SQL"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hey @MohammadHilal1 \n\nThis is not a pandas issue. Pandas is only compatible with `SQLAlchemy` versions greater than 2.0.0."
] |
3,178,378,120 | 61,710 | ENH: Enabled prefix, suffix, and sep to DataFrame.shift | closed | 2025-06-26T08:59:20 | 2025-06-30T17:51:25 | 2025-06-30T17:51:24 | https://github.com/pandas-dev/pandas/pull/61710 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61710 | https://github.com/pandas-dev/pandas/pull/61710 | RUTUPARNk | 1 | …e periods (#61696)
- [X] closes #61696
(Replace 61696 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/pa... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks you for the PR, but the original issue needs to be triaged by the team and agreed upon to pursue before opening a PR so going to close until those items are done"
] |
3,177,539,488 | 61,709 | BUG: Index[Float64].insert(1, False) casts False to 0 | open | 2025-06-26T02:47:49 | 2025-07-19T16:39:57 | null | https://github.com/pandas-dev/pandas/issues/61709 | true | null | null | jbrockmendel | 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",
"Dtype Conversions",
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"On initial inspection, this seems to be because dtype compatibility checks were bypassed when dealing with `ExtensionArray`. This coerces False -> 0.0 without warning. \n\nA workaround is to do something like\n```\npd.Index([1., 2., 3], dtype=\"object\").insert(1, False)\n```\n\nIf we need a fix for this... |
3,177,097,263 | 61,708 | POC: NA-only behavior for numpy-nullable dtypes | closed | 2025-06-25T22:06:31 | 2025-08-04T15:43:31 | 2025-08-04T15:43:23 | https://github.com/pandas-dev/pandas/pull/61708 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61708 | https://github.com/pandas-dev/pandas/pull/61708 | jbrockmendel | 2 | This is the first of several POCs stemming from the discussion in #61618. The main goal is to see how invasive it would be.
Specifically, this implements the NaN behavior described in PDEP16 #58988.
Functionally this makes it so that:
1) With a Float64Dtype or Float32Dtype, you will *never* get a NaN, only a ... | [
"PDEP missing values"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Im thinking the check should be done once at dtype instantiation",
"Closing in favor of #62040"
] |
3,177,087,462 | 61,707 | BUG: .describe() doesn't work for EAs | open | 2025-06-25T22:01:01 | 2025-06-30T09:32:01 | null | https://github.com/pandas-dev/pandas/issues/61707 | true | null | null | andrewgsavage | 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",
"Needs Discussion",
"ExtensionArray"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"I suggest waiting for a maintainer response before working on this. The\r\nlogic for the dtype is not trivial. For example, taking the standard\r\ndeviation a temperature Series gives a delta temperature unit, while min,\r\nmax etc have a temperature unit. These cannot be stored in the same dtype.\r\n\r\... |
3,176,241,270 | 61,706 | WEB: add note to PDEP-10 about delayed timeline for requiring pyarrow | open | 2025-06-25T16:21:35 | 2025-08-23T00:07:50 | null | https://github.com/pandas-dev/pandas/pull/61706 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61706 | https://github.com/pandas-dev/pandas/pull/61706 | jorisvandenbossche | 15 | This is the PR that I _should_ have done a year ago after PDEP-14 got voted on (https://github.com/pandas-dev/pandas/pull/58551, voting issue at https://github.com/pandas-dev/pandas/issues/59160). With that PDEP, and at the time with the intent of releasing pandas 3.0 already somewhere last year, the plan was to add th... | [
"Web",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@datapythonista sorry for opening this PR without the proper context, I should just have waited with opening it until I had written that up.\r\n\r\n[moved the context I added here to the top post]\r\n\r\nEDIT: and with the above, I hope that I clarified that it is not my intent to apply double standards\r\n",
"N... |
3,175,897,800 | 61,705 | DOC: add pandas 3.0 migration guide for the string dtype | closed | 2025-06-25T14:32:04 | 2025-07-07T11:09:52 | 2025-07-07T11:08:56 | https://github.com/pandas-dev/pandas/pull/61705 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61705 | https://github.com/pandas-dev/pandas/pull/61705 | jorisvandenbossche | 4 | This PR starts adding a migration guide with some typical issues one might run into regarding the new string dtype when upgrading to pandas 3.0 (or when enabling it in pandas 2.3).
(for now I just added it to the user guide, which is already a long list of pages, so we might need to think about better organizing thi... | [
"Docs",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@simonjayhawkins thanks a lot for the proofreading!\r\n",
"/preview",
"Added three more sections based on the items listed in https://github.com/pandas-dev/pandas/issues/59328",
"cc @rhshadrach since you also already updated some code to work with the future string dtype, feel free to take a look and some fe... |
3,173,322,179 | 61,704 | DOC: update Slack invite link in community dos | closed | 2025-06-24T21:15:41 | 2025-06-25T11:23:02 | 2025-06-25T11:23:02 | https://github.com/pandas-dev/pandas/pull/61704 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61704 | https://github.com/pandas-dev/pandas/pull/61704 | niruta25 | 0 | - [x] closes #61690
- [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
-- tested manually
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html... | [
"Docs",
"Community"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,173,201,508 | 61,703 | TST: Refactor S3 tests | closed | 2025-06-24T20:24:49 | 2025-06-30T23:42:51 | 2025-06-30T23:40:45 | https://github.com/pandas-dev/pandas/pull/61703 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61703 | https://github.com/pandas-dev/pandas/pull/61703 | fangchenli | 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... | [
"Testing",
"IO Network"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @fangchenli "
] |
3,172,829,883 | 61,702 | DOC: simplify theme footer config (fixes #60647) | closed | 2025-06-24T17:56:34 | 2025-06-25T15:56:38 | 2025-06-25T15:55:40 | https://github.com/pandas-dev/pandas/pull/61702 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61702 | https://github.com/pandas-dev/pandas/pull/61702 | AswathyAZ | 1 | This PR removes custom footer settings in `conf.py` to use the new default footer provided by the updated `pydata-sphinx-theme`.
- Commented out: `footer_start`
Added: Contribution_plan.md file
Fixes #60647 | [
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This appears similar to https://github.com/pandas-dev/pandas/pull/61685 which is unnecessary"
] |
3,172,752,088 | 61,701 | Issue #28283, Finalize coverage for DataFrame.merge | closed | 2025-06-24T17:29:09 | 2025-06-24T19:03:05 | 2025-06-24T19:03:05 | https://github.com/pandas-dev/pandas/pull/61701 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61701 | https://github.com/pandas-dev/pandas/pull/61701 | niruta25 | 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/con... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Closing as was opened by mistake."
] |
3,172,420,709 | 61,700 | ENH: When read_csv reports an error, include the column name and row number | open | 2025-06-24T15:24:31 | 2025-07-20T07:53:11 | null | https://github.com/pandas-dev/pandas/issues/61700 | true | null | null | johann-petrak | 3 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
When reading a CSV file that has been written with pandas I get the error message:
`TypeError: 'str' object cannot be interpreted as an... | [
"Enhancement",
"Error Reporting",
"IO CSV",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Hi @johann-petrak , could you provide a reproducible example? I think pandas might not directly raise this error.",
"This happens when data is read and a converter is specified. You are right, in this case the error message was from a converter that did something unusual, but the problem really shows, ... |
3,171,030,077 | 61,699 | [backport 2.3.x] BUG: DataFrame.explode fails with str dtype (#61623) | closed | 2025-06-24T08:50:45 | 2025-06-24T13:46:52 | 2025-06-24T13:46:47 | https://github.com/pandas-dev/pandas/pull/61699 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61699 | https://github.com/pandas-dev/pandas/pull/61699 | jorisvandenbossche | 0 | Backport of https://github.com/pandas-dev/pandas/pull/61623 | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,171,013,440 | 61,698 | DOC: move relevant whatsnew changes from 2.3.0 to 2.3.1 file | closed | 2025-06-24T08:46:27 | 2025-07-01T11:47:46 | 2025-06-30T17:51:54 | https://github.com/pandas-dev/pandas/pull/61698 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61698 | https://github.com/pandas-dev/pandas/pull/61698 | jorisvandenbossche | 3 | Follow-up on https://github.com/pandas-dev/pandas/pull/61654, now moving some content from 2.3.0 to the 2.3.1 file for changes that only got backported for 2.3.1 | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @jorisvandenbossche ",
"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 ... |
3,169,779,099 | 61,697 | TST: Increase test coverage for pandas.io.formats.excel.py | closed | 2025-06-23T23:59:42 | 2025-06-25T15:58:04 | 2025-06-25T15:57:57 | https://github.com/pandas-dev/pandas/pull/61697 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61697 | https://github.com/pandas-dev/pandas/pull/61697 | lsgordon | 1 | Sorry for the appauling number of commits. Git was being unkind, and I accidentally pushed .venv/ to gitignore, which then when I tried to revert, would reinclude the venv on the commit, you get the picture. It won't happen again.
The purpose of this PR is to add some test coverage to the first class of pandas.io.... | [
"Testing",
"IO Excel"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @lsgordon "
] |
3,168,649,277 | 61,696 | ENH: Add prefix, suffix and sep arguments to shift method | open | 2025-06-23T15:42:13 | 2025-06-24T02:56:08 | null | https://github.com/pandas-dev/pandas/issues/61696 | true | null | null | ArturoSbr | 2 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
Hi all!
I'm currently working on a forecasting model and had to create multiple lags of many columns. Doing this made me realize that t... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"lags = [1, 2, 3]\ncols = ['sales', 'revenue']\n\n# Efficiently create lagged columns with suffix `_lag{n}`\ndf_lagged = pd.concat(\n [df[col].shift(lag).rename(f\"{col}_lag{lag}\") for col in cols for lag in lags],\n axis=1\n)\n\n# Optionally combine with original dataframe\ndf = pd.concat([df, df_lagged], a... |
3,167,964,670 | 61,695 | Create contribution plan_1 | closed | 2025-06-23T12:09:49 | 2025-06-23T19:26:49 | 2025-06-23T19:26:48 | https://github.com/pandas-dev/pandas/pull/61695 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61695 | https://github.com/pandas-dev/pandas/pull/61695 | harinarayananmastech | 1 | As part of use case presentation, following use case has been completed. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Not sure if this is an assignment, but you contribution plans may be for your instructor, not the pandas repo. Feel free to open a PR here once you have the intended changes to the code."
] |
3,167,776,915 | 61,694 | Raise MergeError on mismatched signed/unsigned int merge keys | open | 2025-06-23T11:08:47 | 2025-07-26T00:08:57 | null | https://github.com/pandas-dev/pandas/pull/61694 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61694 | https://github.com/pandas-dev/pandas/pull/61694 | RITAMIT2023 | 2 | This resolves issue - https://github.com/pandas-dev/pandas/issues/61688
| [
"Bug",
"Reshaping",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this."
] |
3,167,743,997 | 61,693 | 61636 | closed | 2025-06-23T10:56:48 | 2025-06-23T19:24:32 | 2025-06-23T19:24:31 | https://github.com/pandas-dev/pandas/pull/61693 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61693 | https://github.com/pandas-dev/pandas/pull/61693 | Ranjana-babu | 1 | This PR addresses [#61636](https://github.com/pandas-dev/pandas/issues/61636), which reports inconsistent dtype coercion during groupby aggregation on PyArrow-backed DataFrames. Specifically, aggregations like 'sum' or 'first' on columns with Arrow dtypes (e.g., int32, uint64) may return outputs with unexpected pandas-... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Ranjana-babu. You should submit to this repo the final changes to fix the bug. Not sure who this contribution plan is addess to, but not us. I'll close this PR, feel free to open a new one when you fixed the bug."
] |
3,167,356,484 | 61,692 | ENH: Add `excel_sep_hint` parameter to `to_csv` for Excel compatibility | open | 2025-06-23T08:56:08 | 2025-06-23T19:50:54 | null | https://github.com/pandas-dev/pandas/issues/61692 | true | null | null | EwoutH | 1 | ### Feature Type
- [x] Adding new functionality to pandas
### Problem Description
It would be great if Pandas could generate CSV files that Excel automatically opens with the correct delimiter. When using semicolons or other non-comma separators, Excel often opens CSV files with all data in one column unless a `sep=` ... | [
"Enhancement",
"IO CSV",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"def to_csv(\n self,\n path_or_buf=None,\n sep=',',\n ...,\n excel_sep_hint=False,\n):\n \"\"\"\n Parameters\n ----------\n excel_sep_hint : bool, default False\n If True, prepend a 'sep={sep}\\n' line to help Microsoft Excel detect the delimiter automatically.\n \"\"\"\n\ndf.to... |
3,167,153,125 | 61,691 | Proposal: Add pd.check(df) utility function for quick dataset diagnostics | open | 2025-06-23T07:49:28 | 2025-06-24T21:45:39 | null | https://github.com/pandas-dev/pandas/issues/61691 | true | null | null | CS-Ponkoj | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
While working with pandas DataFrames during exploratory data analysis (EDA), analysts frequently perform the same manual steps to unders... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
3,166,721,615 | 61,690 | DOC: The Slack invite link to join the Pandas Dev community is broken | closed | 2025-06-23T04:24:46 | 2025-06-25T11:23:03 | 2025-06-25T11:23:03 | https://github.com/pandas-dev/pandas/issues/61690 | true | null | null | ButteryPaws | 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/development/community.html#community-slack
### Documentation problem
This issue w... | [
"Docs",
"Needs Triage",
"Community"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for noticing! \nDoes this link work? https://join.slack.com/t/pandas-dev-community/shared_invite/zt-3813u5fme-hmp5izpbeFl9G8~smrkE~A",
"take",
"@jorisvandenbossche This link does work. Can we close the issue once @niruta25's PR is merged?\nThanks and Regards. "
] |
3,166,069,126 | 61,689 | GÜL | closed | 2025-06-22T16:00:53 | 2025-06-22T16:01:10 | 2025-06-22T16:01:10 | https://github.com/pandas-dev/pandas/pull/61689 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61689 | https://github.com/pandas-dev/pandas/pull/61689 | GulAkkoca | 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 | [] |
3,165,985,470 | 61,688 | BUG: Merge duplicates and validation failure when columns have type int64 and uint64 | open | 2025-06-22T14:00:46 | 2025-07-21T21:45:12 | null | https://github.com/pandas-dev/pandas/issues/61688 | true | null | null | mratkin0 | 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",
"Dtype Conversions",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"I'm wondering if this should be deprecated and pandas should raise when the user tries to merge on unsigned/signed. There are two different strategies I can see users desiring (they are different so count as a miss vs they are the same after converting so count as a hit) and I think we should have them r... |
3,165,826,764 | 61,687 | BUG: DataFrame.mul() corrupts data by setting values to zero | closed | 2025-06-22T10:03:03 | 2025-07-23T09:12:16 | 2025-07-23T09:12:16 | https://github.com/pandas-dev/pandas/issues/61687 | true | null | null | fheisigx | 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",
"Numeric Operations",
"Needs Info",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This bug doesn't occurs on recent versions of pandas. Our test runs perfectly fine on the last version and was related with the numexrp that is activated when the elements is more than 1M for optimizations. ",
"I also cannot reproduce on main (though on mac)",
"@MarceloVelludo: what does `recent versions of pa... |
3,165,680,751 | 61,686 | fix for building docs on Windows | closed | 2025-06-22T05:39:02 | 2025-06-22T17:35:02 | 2025-06-22T17:34:50 | https://github.com/pandas-dev/pandas/pull/61686 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61686 | https://github.com/pandas-dev/pandas/pull/61686 | Dr-Irv | 1 | - [x] closes #60149
I was having two issues with building the docs on Windows.
1. Building a single page with `--single` was very slow because it was reading in lots of files. So there is a fix in `conf.py` that changes any backslashes to `/` in the paths. Probably a better fix is to not be using `os.join` and ... | [
"Docs",
"Windows"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Dr-Irv "
] |
3,165,050,340 | 61,685 | create contribution_plan.md file | closed | 2025-06-21T12:23:44 | 2025-06-21T16:55:11 | 2025-06-21T16:55:11 | https://github.com/pandas-dev/pandas/pull/61685 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61685 | https://github.com/pandas-dev/pandas/pull/61685 | harinarayananmastech | 1 | Created contribution_plan.md file
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is already covered in our documentation, https://pandas.pydata.org/docs/development/index.html. Closing"
] |
3,164,996,398 | 61,684 | add contribution_plan.md file | closed | 2025-06-21T10:53:28 | 2025-06-21T16:55:03 | 2025-06-21T16:55:02 | https://github.com/pandas-dev/pandas/pull/61684 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61684 | https://github.com/pandas-dev/pandas/pull/61684 | Ranjana-babu | 1 | Added add contribution_plan.md file
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is already covered in our documentation, https://pandas.pydata.org/docs/development/index.html. Closing"
] |
3,164,954,736 | 61,683 | docs: Add CONTRIBUTION_PLAN.md for GitHub use case | closed | 2025-06-21T09:44:16 | 2025-06-21T16:54:54 | 2025-06-21T16:54:54 | https://github.com/pandas-dev/pandas/pull/61683 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61683 | https://github.com/pandas-dev/pandas/pull/61683 | sabari191 | 1 | This Pull Request adds a detailed CONTRIBUTION_PLAN.md that documents the process of evaluating and contributing to the pandas-dev/pandas project. The plan includes environment setup, issue identification, and a step-by-step guide to raising a PR.
This is part of a simulated GitHub use case to demonstrate contributi... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This is already covered in our documentation, https://pandas.pydata.org/docs/development/index.html. Closing"
] |
3,164,257,622 | 61,682 | BUG/TST: added TypeError if object dtypes are detected in dataframe | open | 2025-06-20T19:59:46 | 2025-08-17T19:59:49 | null | https://github.com/pandas-dev/pandas/pull/61682 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61682 | https://github.com/pandas-dev/pandas/pull/61682 | sharkipelago | 8 | - [ ] closes #55114
- [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",
"DataFrame",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The second concern of the issue #55114 was `round()` did not work for `Series` or `Dataframe` when using `decimal.Decimal` from python's default decimal module. It seems like this is because both NumPy and pandas give array-like structures of `decimal.Decimal` objects a `dtype` of `object`. When I tested `np.arra... |
3,163,336,088 | 61,681 | ENH: the error behaviour in pandas operation should be consistent rename erros are ignore by default whereas drop erros are raise | open | 2025-06-20T13:21:37 | 2025-07-18T07:19:41 | null | https://github.com/pandas-dev/pandas/issues/61681 | true | null | null | Furqan-s | 3 | ### Feature Type
- [ ] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
### Feature Description
can we make the pand... | [
"Enhancement",
"API - Consistency",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hello!! Well, I noticed that, this leads to unexpected errors for users when dropping non-existent columns or index labels, even though renaming silently skips missing keys.\n\nWe can either change the default:\n\ni.e. `errors='raise'` to `errors='ignore'` in `DataFrame.drop()`:\n\nOr we can add a warning, if this... |
3,161,255,732 | 61,680 | Backport PR #61654 on branch 2.3.x (DOC: Add release notes template for 2.3.1) | closed | 2025-06-19T20:12:55 | 2025-06-20T15:54:28 | 2025-06-20T15:54:28 | https://github.com/pandas-dev/pandas/pull/61680 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61680 | https://github.com/pandas-dev/pandas/pull/61680 | meeseeksmachine | 0 | Backport PR #61654: DOC: Add release notes template for 2.3.1 | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
3,160,847,160 | 61,679 | BUG: Fix lost precision with common type of uint64/int64 | open | 2025-06-19T16:21:50 | 2025-08-21T00:07:13 | null | https://github.com/pandas-dev/pandas/pull/61679 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61679 | https://github.com/pandas-dev/pandas/pull/61679 | pbrochart | 7 | - [x] closes #61676 (Replace xxxx with the GitHub issue number)
- [x] closes #61688 (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 chec... | [
"Bug",
"Dtype Conversions",
"Stale",
"isin"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"I think this patch is more safe and provides better performance",
"I test another fix that can be benefit for other issues (e.g #61688) without any changes\r\nBut it breaks some tests (the fix changes the behavior of np_find_common_type)",
"pre-commit.ci autofix",
"Hi,\r\n\r\nNumpy... |
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