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 |
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2,903,241,026 | 61,078 | Doc for backend-specific arguments for df.plot() | closed | 2025-03-07T15:04:30 | 2025-04-07T16:35:55 | 2025-04-07T16:35:54 | https://github.com/pandas-dev/pandas/pull/61078 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61078 | https://github.com/pandas-dev/pandas/pull/61078 | ethandavidlee | 3 | Updated DataFrame.plot documentation and visualization guide for back end-specific arguments.
- [x] closes #61020
- [ ] [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](ht... | [
"Docs",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The doc build appears to be failing the check because of my use of double backticks in the line 1813: \"Pandas provides a consistent ``plot`` API...\", but this is the same use of backticks a few lines earlier and is how the documentation is treating methods. Please advise if this is incorrect.",
"This pull req... |
2,903,220,565 | 61,077 | BUG: PeriodIndex.to_datetime inconsistent with its docstring | closed | 2025-03-07T14:55:38 | 2025-04-07T17:04:10 | 2025-04-07T17:04:09 | https://github.com/pandas-dev/pandas/pull/61077 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61077 | https://github.com/pandas-dev/pandas/pull/61077 | aram-cedarwood | 2 | - [x] closes #59371
- [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).
- [ ]... | [
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this.",
"Thanks for the pull request, b... |
2,903,158,807 | 61,076 | PERF: why nlargest is so slower? | closed | 2025-03-07T14:31:23 | 2025-08-05T17:07:45 | 2025-08-05T17:07:45 | https://github.com/pandas-dev/pandas/issues/61076 | true | null | null | ZGarry | 6 | ### 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",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"You haven't provided your data or a benchmark-- does your index have duplicates? I wonder if this is related to #55767.",
"Until this gets more information -- I'd like to give #55767 a shot. Looks simple enough.\n\nAre there are performance benchmarks anywhere in case of regressions?",
"@Jeffrharr - it looks l... |
2,902,191,342 | 61,075 | ENH: use the option framework to opt-out of auto-alignment | open | 2025-03-07T07:01:10 | 2025-04-02T19:41:59 | null | https://github.com/pandas-dev/pandas/issues/61075 | true | null | null | jxrossel | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
As far as I know, auto-alignment of DataFrames and Series (e.g. with arithmetic operations) cannot be disabled. To work in "strict" mode... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I’d like to propose a feature for pandas that allows users to customize alignment checks during arithmetic operations on DataFrames and Series. The idea is to introduce the mode.on_misaligned option with the following modes:\n\ncoerce (default): Retains current behavior with auto-alignment.\n\nraise: Raises an err... |
2,901,785,759 | 61,074 | DEPR: Make `dtype="category"` always imply ordered=False | open | 2025-03-07T01:38:04 | 2025-03-13T20:41:30 | null | https://github.com/pandas-dev/pandas/issues/61074 | true | null | null | mroeschke | 2 | Currently one can specify `dtype="category"` to specify data as `CategoricalDtype`, and since it does not convey ordered information, we treat it as `ordered=None` internally in order to no-op data that is already categorical. Therefore internally, there are scenarios where we need to be mindful if we have `ordered=Non... | [
"Categorical",
"Deprecate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi! I would love to take this!\n\nJust to clarify, the goal is to make `dtype=\"category\"` always mean `CategoricalDtype(ordered=False)`, with a deprecation warning when applied to `CategoricalDtype(ordered=True)`.\n\nSo for example:\n```\ncat_ordered = pd.Categorical([\"low\", \"medium\", \"high\"], ordered=True... |
2,901,711,169 | 61,073 | BUG: Addressing #61072 | closed | 2025-03-07T00:25:43 | 2025-03-24T16:44:53 | 2025-03-24T16:44:53 | https://github.com/pandas-dev/pandas/pull/61073 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61073 | https://github.com/pandas-dev/pandas/pull/61073 | ptth222 | 1 | Trying to address #61072 since I created the issue. I've never contributed to pandas, but I have tried to follow what is in the guide. | [] | 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."
] |
2,901,703,465 | 61,072 | BUG: str.fullmatch behavior is not the same for object dtype and string[pyarrow] dtype | open | 2025-03-07T00:19:21 | 2025-03-20T21:26:16 | null | https://github.com/pandas-dev/pandas/issues/61072 | true | null | null | ptth222 | 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",
"Strings",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"take "
] |
2,901,335,576 | 61,071 | BUG: Potentially incorrect result of `df.rolling(window=...).mean()` | closed | 2025-03-06T20:12:51 | 2025-03-07T09:23:59 | 2025-03-07T09:23:57 | https://github.com/pandas-dev/pandas/issues/61071 | true | null | null | lazyniv | 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",
"Window",
"Closing Candidate"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Here are the internal number of observations and summations along with the result within pandas.\n\n<details>\n\n```\n# rolling_mean_1\n1 -0.3333333 nan\n2 -0.3333333 nan\n3 999999999999999.6 nan\n4 512541199999999.6 nan\n5 512541199999999.6 nan\n6 512541199999999.6 nan\n7 512541200000000.75... |
2,901,258,430 | 61,070 | DOC: Outdated example of DataFrame.mean | closed | 2025-03-06T19:36:06 | 2025-03-06T19:40:52 | 2025-03-06T19:39:50 | https://github.com/pandas-dev/pandas/issues/61070 | true | null | null | rafael-patronilo | 1 | ### Pandas version checks
- [x] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.mean.html#pandas.DataFrame.mean
### Documentation p... | [
"Docs",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I think I misunderstood the docs; I think it is only if you specify `df.mean(axis=None)` that it aggregates over both axes."
] |
2,901,145,470 | 61,069 | DOC: Update warning in `Index.values` docstring to clarify index modification which causes segmentation fault | closed | 2025-03-06T18:35:17 | 2025-03-11T16:49:38 | 2025-03-11T16:49:34 | https://github.com/pandas-dev/pandas/pull/61069 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61069 | https://github.com/pandas-dev/pandas/pull/61069 | Manju080 | 2 | Index Modification issues (#60954)
- [x] Added [docstring](pandas/core/indexes/base.py) under existing function.
This PR updates the docstring for Index.values to clearly warn users that modifying it directly is not supported and may lead to memory corruption or segmentation faults. It also recommends safe altern... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke Thanks, that was helpful. I made the changes and all the checks are successful.\r\nLet me if any there is any changes required.",
"Thanks @Manju080 "
] |
2,899,429,508 | 61,068 | BUG: Sorting fails in specific cases with pandas==2.1.1 | closed | 2025-03-06T05:56:49 | 2025-03-27T01:22:18 | 2025-03-27T01:22:18 | https://github.com/pandas-dev/pandas/issues/61068 | true | null | null | nancy-pm | 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",
"Needs Info",
"Sorting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Currently, the output appears correct, but I’d like to ensure there are no edge cases or hidden issues.\n\nEnvironment:\n\nPython version: [e.g., 3.9.12]\nPandas version: 2.1.1\nOperating System: [e.g., Windows 10, macOS, Linux]\nAdditional Context:\n\nThis request is prompted by reports of sorting-related issues ... |
2,899,036,193 | 61,067 | DOC: Fix typo in Timestamp.isoformat | closed | 2025-03-06T01:26:18 | 2025-03-06T19:39:58 | 2025-03-06T16:18:44 | https://github.com/pandas-dev/pandas/pull/61067 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61067 | https://github.com/pandas-dev/pandas/pull/61067 | wjandrea | 1 | repeated word
- ~~[ ] 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
2,899,032,378 | 61,066 | DOC: Fix syntax highlighting in overview | closed | 2025-03-06T01:22:35 | 2025-03-06T19:40:29 | 2025-03-06T16:19:17 | https://github.com/pandas-dev/pandas/pull/61066 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61066 | https://github.com/pandas-dev/pandas/pull/61066 | wjandrea | 1 | Remove bogus syntax highlighting on LICENSE in overview.rst
- ~~[ ] closes #xxxx (Replace xxxx with the GitHub issue number)~~
- ~~[ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature~~
- [ ] All [code c... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @wjandrea "
] |
2,899,005,973 | 61,065 | DOC: Add inference type information to Dataframe Apply | closed | 2025-03-06T01:05:49 | 2025-03-06T16:20:53 | 2025-03-06T16:20:40 | https://github.com/pandas-dev/pandas/pull/61065 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61065 | https://github.com/pandas-dev/pandas/pull/61065 | PenguinPen | 1 | - [#61057] (Replace xxxx with the GitHub issue number)
-~~[ ] [Tests added and passed] if fixing a bug or adding a new feature~~
- [ ] All [code checks passed]
-~~[ ] Added [type annotations] to new arguments/methods/functions.~~
-~~[ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a ... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @PenguinPen "
] |
2,898,944,165 | 61,064 | DOC: Add inference type information to Dataframe Apply | closed | 2025-03-06T00:39:25 | 2025-03-06T00:52:58 | 2025-03-06T00:52:58 | https://github.com/pandas-dev/pandas/pull/61064 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61064 | https://github.com/pandas-dev/pandas/pull/61064 | PenguinPen | 0 | - [#61057 ] (Replace xxxx with the GitHub issue number)
- ~~[ ] [Tests added and passed] if fixing a bug or adding a new feature~~
- [ ] All [code checks passed].
- ~~[ ] Added [type annotations] to new arguments/methods/functions.~~
- ~~[ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixi... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,898,810,016 | 61,063 | DOC: Add link description | closed | 2025-03-05T23:30:33 | 2025-03-06T19:41:32 | 2025-03-06T16:21:41 | https://github.com/pandas-dev/pandas/pull/61063 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61063 | https://github.com/pandas-dev/pandas/pull/61063 | wjandrea | 2 | - ~~[ ] closes #xxxx (Replace xxxx with the GitHub issue number)~~
- ~~[ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature~~
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/develop... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I initially made another small change by removing a space, but it turns out it didn't work so I undid it. Do you want me to squash or will you?",
"Thanks @wjandrea "
] |
2,898,545,702 | 61,062 | BUG: Fix na_position type in IndexEngine | closed | 2025-03-05T21:23:12 | 2025-03-07T00:58:03 | 2025-03-07T00:57:57 | https://github.com/pandas-dev/pandas/pull/61062 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61062 | https://github.com/pandas-dev/pandas/pull/61062 | avm19 | 2 | - [x] closes #58924
- [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
(I modified an existing test to cover the problematic case)
- [x] All [code checks passed](https://pandas.pydata.org/pandas-d... | [
"Index"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Perhaps I should not have rebased. The changes suggested above by @mroeschke are the only changes, I promise.",
"Thanks @avm19 "
] |
2,898,210,897 | 61,061 | ENH, DOC: Add JupyterLite-powered interactive examples for the `pandas` documentation | open | 2025-03-05T19:08:25 | 2025-07-07T00:09:20 | null | https://github.com/pandas-dev/pandas/pull/61061 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61061 | https://github.com/pandas-dev/pandas/pull/61061 | agriyakhetarpal | 10 | - [x] follow-up for #60758 and #57896; closes #61060
- [ ] [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_... | [
"Web",
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The remaining CI failures here look unrelated; I merged `main` to see if that makes a difference.",
"> Also, seeems like you're adding the terminal to the getting started page. If I'm not missing something, this means that anyone visiting that page will download all the wasm stuff, which I don't think it's great... |
2,897,573,826 | 61,060 | DOC: Add link to the "try pandas online" in the regular documentation | open | 2025-03-05T14:59:43 | 2025-08-06T07:58:43 | null | https://github.com/pandas-dev/pandas/issues/61060 | true | null | null | Dr-Irv | 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/docs/getting_started/index.html#getting-started
### Documentation problem
In #60758, @agri... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks, @Dr-Irv. I did add a link to the Getting Started page for the pandas website (see https://arc.net/l/quote/jdacyseq), but not for the corresponding Getting Started page in the documentation. I'm actually working on a branch that aims to build one JupyterLite deployment and consolidate it for both the docume... |
2,896,884,302 | 61,059 | DOC: Correct a typo in ecosystem.md | closed | 2025-03-05T10:15:53 | 2025-03-05T18:15:31 | 2025-03-05T18:15:20 | https://github.com/pandas-dev/pandas/pull/61059 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61059 | https://github.com/pandas-dev/pandas/pull/61059 | m-ahmadi | 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 @m-ahmadi "
] |
2,896,124,948 | 61,058 | DOC: Pivot() example call incorrectly used and would give "error: duplicate index" | closed | 2025-03-05T04:39:53 | 2025-08-05T17:06:52 | 2025-08-05T17:06:52 | https://github.com/pandas-dev/pandas/issues/61058 | true | null | null | mheskett | 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
doc/source/user_guide/reshaping.rst
### Documentation problem
the table given as an example for pivot() is wrong a... | [
"Reshaping",
"Error Reporting",
"Needs Info"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mheskett It will not throw `ValueError: Index contains duplicate entries, cannot reshape` , because the `index` (`fool`) and `columns` (`bar`) have unique combinations: \n\n```\nimport pandas as pd\n\ndata = {\"foo\": ['one', 'one', 'one', 'two', 'two', 'two'],\n \"bar\": ['A', 'B', 'C', 'A', 'B', 'C'],\n ... |
2,895,712,928 | 61,057 | BUG: Inconsistent behaviour of apply with result_type='expand' for functions that can return NaN type values | open | 2025-03-04T23:41:30 | 2025-06-04T05:07:18 | null | https://github.com/pandas-dev/pandas/issues/61057 | true | null | null | finnhacks42 | 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... | [
"Docs",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! `apply` performs inference from the first value it gets. If this is not list-like, the result is inferred to not be list-like and therefore `expand` has no effect. You can instead do:\n\n```python\ndef split_string(s):\n if pd.isnull(s):\n return {}\n parts = s.split(',')\n r... |
2,895,631,682 | 61,056 | ENH: json_normalize accepts JSON with str and bytes input | closed | 2025-03-04T22:52:21 | 2025-03-05T18:59:31 | 2025-03-05T18:56:44 | https://github.com/pandas-dev/pandas/pull/61056 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61056 | https://github.com/pandas-dev/pandas/pull/61056 | arthurlw | 1 | - [x] closes #61006
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x]... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the review! I was unaware of the deprecation, but I understand the concern about API consistency. Will be closing this for now"
] |
2,895,066,357 | 61,055 | BUG: invalid result of reindex on columns after unstack with Period data #60980 | closed | 2025-03-04T18:11:53 | 2025-03-05T00:13:34 | 2025-03-05T00:13:34 | https://github.com/pandas-dev/pandas/issues/61055 | true | null | null | Pranav970 | 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",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! Confirmed on main. There has to be some internal state that gets set wrong. Constructing the unstacked result directly:\n\n```python\nseries1 = pd.DataFrame(\n [(0, \"s2\", pd.Period(2022)), (0, \"s1\", pd.Period(2021))],\n columns=[\"A\", \"B\", \"C\"]\n).set_index([\"A\", \"B\"])[\"C\"... |
2,894,543,586 | 61,054 | BUG: Fix return type of loc/iloc | closed | 2025-03-04T14:52:06 | 2025-06-30T18:25:49 | 2025-06-30T18:25:43 | https://github.com/pandas-dev/pandas/pull/61054 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61054 | https://github.com/pandas-dev/pandas/pull/61054 | sanggon6107 | 17 | - [X] closes #60600
- [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",
"Indexing",
"Dtype Conversions"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I think the way to do it would be by changing getitem_lowerdim to reverse the order in which we do the indexing (i think the loop on L1069). Would need to try it to see if that breaks anything. Best guess would be MultiIndex cases (possibly their perf?)\r\n\r\nI think a bunch of getitem_lowerdim dates back to wh... |
2,894,072,519 | 61,053 | DOC Fix Styler.to_latex to be in Writer column | closed | 2025-03-04T12:19:51 | 2025-03-04T18:03:25 | 2025-03-04T18:03:15 | https://github.com/pandas-dev/pandas/pull/61053 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61053 | https://github.com/pandas-dev/pandas/pull/61053 | rutrum | 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 @rutrum "
] |
2,894,053,329 | 61,052 | BUG: sometimes when using ~ and & operators for indexing it evaluated incorrectly | closed | 2025-03-04T12:14:16 | 2025-03-07T23:49:49 | 2025-03-07T23:49:47 | https://github.com/pandas-dev/pandas/issues/61052 | true | null | null | adamszelestey-se | 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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I'm unable to reproduce this behavior both on 2.2.3 as well as dev. @adamszelestey-se do you have any stats on how often this line prints 10?\n```\nprint(len(bool_df[(~bool_df[\"first\"]) & (~bool_df[\"second\"])])) # Sometimes prints 10\n```",
"- How are you running this? A Python script, a notebook like Jupyte... |
2,893,423,020 | 61,051 | Renamed "normalise" to "normalize" | closed | 2025-03-04T08:43:25 | 2025-03-04T18:04:20 | 2025-03-04T18:04:13 | https://github.com/pandas-dev/pandas/pull/61051 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61051 | https://github.com/pandas-dev/pandas/pull/61051 | arthurlw | 1 | - [x] closes #61047
- [ ] [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).
- [ ... | [
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
2,893,418,621 | 61,050 | Adjust Docker File Key Value Format | closed | 2025-03-04T08:41:29 | 2025-03-05T18:58:02 | 2025-03-05T18:47:19 | https://github.com/pandas-dev/pandas/pull/61050 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61050 | https://github.com/pandas-dev/pandas/pull/61050 | arthurlw | 1 | - [x] closes #61036
- [ ] [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 | [
"Thanks @arthurlw "
] |
2,893,188,482 | 61,049 | BUG: Ghost Column Generation Bug in .loc[] with Series Column Selector (Pandas 2.2.2) | closed | 2025-03-04T07:06:45 | 2025-03-04T23:52:43 | 2025-03-04T23:52:31 | https://github.com/pandas-dev/pandas/issues/61049 | true | null | null | Jeevacse07 | 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",
"Indexing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hello @Jeevacse07 this is not really a bug, in your code instead of passing `df['LoanAmount']` as column_selector argument you need to pass just the string(name) of the column. e.g: \n```\ndf.loc[(df['AccountType'] == \"Current\") & (df['CreditScore'] > 700), ['LoanAmount']] = 90000\nprint(df)\n```\n\n#### Output... |
2,893,064,447 | 61,048 | Renamed "normalise" to "normalize" | closed | 2025-03-04T06:06:57 | 2025-03-04T08:37:19 | 2025-03-04T08:37:18 | https://github.com/pandas-dev/pandas/pull/61048 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61048 | https://github.com/pandas-dev/pandas/pull/61048 | arthurlw | 0 | - [x] closes #61047
- [ ] [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 | [] |
2,893,023,471 | 61,047 | Correction: Standardize spelling of "normalize" in codebase | closed | 2025-03-04T05:45:56 | 2025-03-04T18:04:14 | 2025-03-04T18:04:14 | https://github.com/pandas-dev/pandas/issues/61047 | true | null | null | arthurlw | 0 | Some functions in `_normalize.py` use British spelling ("normalise") and some use American spelling ("normalize"). To maintain consistency with standard American spelling used in Pandas, "normalise" should be replaced with "normalize".
<img width="683" alt="Image" src="https://github.com/user-attachments/assets/eac39b... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,892,709,453 | 61,046 | perf: improve membership check performance in column filtering | closed | 2025-03-04T01:52:00 | 2025-04-26T18:10:47 | 2025-04-26T18:10:39 | https://github.com/pandas-dev/pandas/pull/61046 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61046 | https://github.com/pandas-dev/pandas/pull/61046 | allrob23 | 7 | - [x] closes #61045
- [ ] [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).
- [ ... | [
"Performance",
"IO CSV"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"pre-commit.ci autofix",
"Do you have an example benchmark where this PR improves the performance of `read_csv`?",
"This optimization was flagged by a tool I’m developing, which performs code inspection to identify potential performance improvements. However, it doesn’t measure execution times, so I haven’t ben... |
2,892,708,700 | 61,045 | PERF: Optimize membership check in column filtering for better performance | closed | 2025-03-04T01:51:13 | 2025-04-26T18:10:41 | 2025-04-26T18:10:40 | https://github.com/pandas-dev/pandas/issues/61045 | true | null | null | allrob23 | 0 | ### 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",
"IO CSV"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,892,521,458 | 61,044 | Backport PR #61042: CI/TST: Fix xfail in test_columns_dtypes_not_invalid for pyarrow nightly | closed | 2025-03-03T23:08:05 | 2025-03-04T02:56:42 | 2025-03-04T02:56:39 | https://github.com/pandas-dev/pandas/pull/61044 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61044 | https://github.com/pandas-dev/pandas/pull/61044 | mroeschke | 0 | null | [
"Testing",
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,892,419,619 | 61,043 | BUG: `.str.replace()` with capture groups does not play nice with string methods | closed | 2025-03-03T22:00:55 | 2025-03-03T22:57:07 | 2025-03-03T22:56:12 | https://github.com/pandas-dev/pandas/issues/61043 | true | null | null | noahblakesmith | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. You're calling `lower` on a string. There is no way for pandas to tell the difference between the following two lines.\n\n```python\nprint(c.str.replace(x, \"\\\\1_ABC_\".lower(), regex=True))\nprint(c.str.replace(x, \"\\\\1_abc_\", regex=True))\n```\n\nClosing for now. If you believe I've m... |
2,892,366,016 | 61,042 | CI/TST: Fix xfail in test_columns_dtypes_not_invalid for pyarrow nightly | closed | 2025-03-03T21:34:28 | 2025-03-03T23:08:26 | 2025-03-03T22:56:22 | https://github.com/pandas-dev/pandas/pull/61042 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61042 | https://github.com/pandas-dev/pandas/pull/61042 | mroeschke | 2 | e.g. https://github.com/pandas-dev/pandas/actions/runs/13639721895/job/38126633833 | [
"Testing",
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Merging to get the CI to green",
"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 ... |
2,892,280,842 | 61,041 | BUG: Recognize chained fsspec URLs | closed | 2025-03-03T20:50:16 | 2025-07-14T18:21:48 | 2025-03-05T22:12:10 | https://github.com/pandas-dev/pandas/pull/61041 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61041 | https://github.com/pandas-dev/pandas/pull/61041 | snitish | 7 | - [ ] closes #48978
- [ ] [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).
- [ ]... | [
"IO Network"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Just confirming that there isn't a solution alluded to in https://github.com/pandas-dev/pandas/issues/48978#issuecomment-1813692546 where `fsspec` provides an API already to validate fsspec URLs?",
"> Just confirming that there isn't a solution alluded to in [#48978 (comment)](https://github.com/pandas-dev/panda... |
2,892,049,817 | 61,040 | Adjust Docker File Key Value Format | closed | 2025-03-03T18:57:10 | 2025-03-04T05:47:10 | 2025-03-04T05:47:10 | https://github.com/pandas-dev/pandas/pull/61040 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61040 | https://github.com/pandas-dev/pandas/pull/61040 | arthurlw | 0 | - [x] closes #61036
- [ ] [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 | [] |
2,891,997,131 | 61,039 | CI: Bump GHA uses versions | closed | 2025-03-03T18:33:23 | 2025-03-03T20:22:48 | 2025-03-03T20:22:45 | https://github.com/pandas-dev/pandas/pull/61039 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61039 | https://github.com/pandas-dev/pandas/pull/61039 | mroeschke | 1 | null | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Merging as CI is passing"
] |
2,891,723,615 | 61,038 | [pre-commit.ci] pre-commit autoupdate | closed | 2025-03-03T16:30:46 | 2025-03-03T18:12:48 | 2025-03-03T18:12:44 | https://github.com/pandas-dev/pandas/pull/61038 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61038 | https://github.com/pandas-dev/pandas/pull/61038 | pre-commit-ci[bot] | 0 | <!--pre-commit.ci start-->
updates:
- [github.com/astral-sh/ruff-pre-commit: v0.9.4 → v0.9.9](https://github.com/astral-sh/ruff-pre-commit/compare/v0.9.4...v0.9.9)
- [github.com/PyCQA/isort: 6.0.0 → 6.0.1](https://github.com/PyCQA/isort/compare/6.0.0...6.0.1)
<!--pre-commit.ci end--> | [
"Code Style"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,891,437,299 | 61,037 | Metadata generation failed when installing PyQt5 | open | 2025-03-03T14:38:15 | 2025-08-23T12:18:55 | null | https://github.com/pandas-dev/pandas/issues/61037 | true | null | null | PenguinPen | 8 | This error comes from running the dockerfile and reaches the PyQt5 in the requirements-dev.txt. From stackoverflow, this problem occur when installing PyQt5 with version after 5.15.6 in virtual environment.
Not labeling bug as it's bug from PyQt5, but since this could affect dockerfile building I'll create this issue.... | [
"Build",
"OS X"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report!\n\n> Not labeling bug as it's bug from PyQt5, but since this could affect dockerfile building I'll create this issue.\n\nCould or does affect the Dockerfile? The issue you linked to seems to all refer to Mac OS and Windows, but our Dockerfile is based on Ubuntu.",
"> Could or does affect t... |
2,891,360,984 | 61,036 | Correction: Adjust Dockerfile key value format | closed | 2025-03-03T14:09:36 | 2025-03-05T18:47:20 | 2025-03-05T18:47:20 | https://github.com/pandas-dev/pandas/issues/61036 | true | null | null | PenguinPen | 1 | Suggest to add "=" for assigning variable in Dockerfile.
 | [
"Build",
"Clean"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
2,890,396,999 | 61,035 | BUG: fix DataFrame.__setitem__ throwing a ValueError when setting a column with a 2D object array | closed | 2025-03-03T07:25:34 | 2025-04-04T17:08:59 | 2025-04-04T17:08:59 | https://github.com/pandas-dev/pandas/pull/61035 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61035 | https://github.com/pandas-dev/pandas/pull/61035 | tonyyuyiding | 2 | - [x] closes #61026
- [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).
- [ ]... | [
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this.",
"Thanks for the pull request, b... |
2,890,133,855 | 61,034 | DOC: Correct typos in Working with text data | closed | 2025-03-03T04:30:19 | 2025-03-03T18:13:33 | 2025-03-03T18:13:26 | https://github.com/pandas-dev/pandas/pull/61034 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61034 | https://github.com/pandas-dev/pandas/pull/61034 | star1327p | 1 | Correct typos in Working with text data.
https://pandas.pydata.org/docs/dev/user_guide/text.html
- [ ] 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 ... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @star1327p "
] |
2,890,020,939 | 61,033 | ENH: Add `coalesce_keys` option to join | open | 2025-03-03T02:44:12 | 2025-06-25T09:30:12 | null | https://github.com/pandas-dev/pandas/issues/61033 | true | null | null | tylerriccio33 | 1 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
It would be useful to retain keys used in a join instead of automatically coalescing them. This is most useful in full outer joins. I am... | [
"Enhancement",
"Reshaping",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take"
] |
2,889,679,473 | 61,032 | ENH: Allow JIT compilation with an internal API | closed | 2025-03-02T17:28:30 | 2025-04-14T08:42:37 | 2025-03-14T15:03:10 | https://github.com/pandas-dev/pandas/pull/61032 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61032 | https://github.com/pandas-dev/pandas/pull/61032 | datapythonista | 17 | - [X] closes #60668, supersedes #60622
I've been exploring what @MarcoGorelli proposed in https://github.com/pandas-dev/pandas/pull/60622#pullrequestreview-2584711239 regarding allowing JIT compilers to implement their own apply engine. I think it is a much better approach than the current implementation. I've been ... | [
"Enhancement",
"Apply"
] | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This looks great to me!\r\n\r\n> The exact internal API (the `__pandas_udf__` function in this PR) can probably be improved. To make it looks simple and reasonable, but happy to know other points of view.\r\n\r\nI think it would be good to include `result_dtype` (can be `None` for current behavior), but that may b... |
2,889,644,085 | 61,031 | BUG: `ValueError: ndarray is not C-contiguous` for `cummax` on nullable dtypes | open | 2025-03-02T16:21:03 | 2025-03-05T01:44:09 | null | https://github.com/pandas-dev/pandas/issues/61031 | true | null | null | MarcoGorelli | 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",
"Groupby",
"NA - MaskedArrays",
"Transformations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The `error` is caused by the slice and it actually is not an error. When you use slicing operations like `[::-1]` in pandas/NumPy, it creates a view of the original data rather than a new array. This view has the following characteristics:\n\n- It references the same memory as the original array\n- It uses a nega... |
2,889,452,672 | 61,030 | BUG: Dependency check custom error loses information | closed | 2025-03-02T10:07:09 | 2025-04-14T16:39:19 | 2025-04-14T16:39:19 | https://github.com/pandas-dev/pandas/issues/61030 | true | null | null | Noratrieb | 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",
"Error Reporting"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report! Can you paste the full error that was useful in debugging here.\n\nThe current method was implemented due to https://github.com/pandas-dev/pandas/issues/12176. I don't think we should just remove it. Perhaps we could say \"Run `import ...` to view the full error\".\n",
"I have pasted the f... |
2,889,181,785 | 61,029 | BUG: Printing float16 with NumPy>=2.0 gives overflow warning | closed | 2025-03-01T22:07:17 | 2025-03-07T23:43:08 | 2025-03-07T23:43:08 | https://github.com/pandas-dev/pandas/issues/61029 | true | null | null | rhshadrach | 3 | print(pd.Series([1.0], dtype="float16"))
# RuntimeWarning: overflow encountered in cast np.array([1.0], dtype="float16") > 1e6
# 0 1.0
# dtype: float16
This occurs here:
https://github.com/pandas-dev/pandas/blob/bc34e2497f1471409f144fde89330a71bb8ba892/pandas/io/formats/format.py#L1446
Perhaps we ... | [
"Bug",
"Output-Formatting",
"Warnings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"I know we disallow float16 in `Index` and in many places upcast float16 inputs to float32/float64. I think eventually we should deprecate float16 supports everywhere",
"Thanks @mroeschke - searching through the issues I see now that it was never really supported in pandas. I'll remove it from the docs ... |
2,888,921,052 | 61,028 | Bump to `pypa/cibuildwheel@v2.23.0`; build WASM wheels against Pyodide 0.27 | closed | 2025-03-01T13:53:00 | 2025-03-01T18:12:23 | 2025-03-01T18:08:29 | https://github.com/pandas-dev/pandas/pull/61028 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61028 | https://github.com/pandas-dev/pandas/pull/61028 | agriyakhetarpal | 1 | - [x] follow-up of https://github.com/pandas-dev/pandas/pull/60756#issuecomment-2607902892
- [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/pan... | [
"CI"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @agriyakhetarpal "
] |
2,888,885,373 | 61,027 | Added documentation with current and future project plans | closed | 2025-03-01T13:00:32 | 2025-03-01T13:01:03 | 2025-03-01T13:01:03 | https://github.com/pandas-dev/pandas/pull/61027 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61027 | https://github.com/pandas-dev/pandas/pull/61027 | AhmedESamy | 0 | Added documentation with current and future project plans. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,888,828,558 | 61,026 | BUG: setting column with 2D object array raises | open | 2025-03-01T11:17:40 | 2025-07-15T20:13:02 | null | https://github.com/pandas-dev/pandas/issues/61026 | true | null | null | tonyyuyiding | 8 | ### Research
- [x] I have searched the [[pandas] tag](https://stackoverflow.com/questions/tagged/pandas) on StackOverflow for similar questions.
- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
### Link to question on StackOverflow
https://stackoverflow.com/questions/7945... | [
"Bug",
"Indexing",
"Nested Data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hey @tonyyuyiding ,\n\nActually if you see the default behavior of numpy, Numpy detects that all elements are strings and assigns dtype='<U1', meaning Unicode strings of length 1.\n\n\n\n of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Clean",
"Closing Candidate",
"Interchange"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Thanks for the report. As mentioned in the linked PR, it is not to be removed for 3.0.\n\nhttps://github.com/pandas-dev/pandas/pull/54846#issuecomment-1816780890\n\nAlso, I think it should not be removed until the upstream issue is closed.\n\nhttps://github.com/data-apis/dataframe-api/issues/125#issuecom... |
2,888,677,993 | 61,024 | Fixed describe.py | closed | 2025-03-01T07:07:02 | 2025-03-09T01:26:52 | 2025-03-09T01:26:41 | https://github.com/pandas-dev/pandas/pull/61024 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61024 | https://github.com/pandas-dev/pandas/pull/61024 | Abhibhav2003 | 0 |
Issue-60550-Fixed
Removed the condition that included 50th percentile. i.e.
if 0.5 not in percentiles :
percentiles.append(0.5)
Added the condition, that 50th percentile should only be ap... | [
"Enhancement"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,888,602,316 | 61,023 | Issue 60550 fix | closed | 2025-03-01T05:33:18 | 2025-03-01T06:59:41 | 2025-03-01T06:58:23 | https://github.com/pandas-dev/pandas/pull/61023 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61023 | https://github.com/pandas-dev/pandas/pull/61023 | Abhibhav2003 | 1 | # Fix-#60550
#Removed this condition as a fix for issue #60550 :
#Added this condition
if percentiles == []:
percentiles.append(0.5) # By default, if percentiles is empty then appending 50th percentile.
![ima... | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@Abhibhav2003 The number of files changed in the PR looks incorrect. Please fix it."
] |
2,888,482,040 | 61,022 | BUG: Fix bug in to_datetime that occasionally throws FloatingPointErr… | closed | 2025-03-01T03:21:19 | 2025-04-10T03:34:19 | 2025-03-02T00:31:06 | https://github.com/pandas-dev/pandas/pull/61022 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61022 | https://github.com/pandas-dev/pandas/pull/61022 | snitish | 6 | …or when called on a float array with missing values
- [ ] closes #58419
- [ ] [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/de... | [
"Datetime",
"Missing-data"
] | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @snitish ",
"Pandas v.2.2.3, the bug is still there. I am processing a pd.Series filled with float timestamps. Overflows while `to_datetime` conversion with following `dt.round` to `ms`:\r\n` time = pd.to_datetime(time, unit='ms', errors='coerce').dt.round(freq='ms')`\r\nThe error is related to `pd.to_dat... |
2,888,038,311 | 61,021 | TST: Add test for groupby with datetime and NaT values | closed | 2025-02-28T20:50:09 | 2025-03-03T19:04:15 | 2025-02-28T21:50:49 | https://github.com/pandas-dev/pandas/pull/61021 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61021 | https://github.com/pandas-dev/pandas/pull/61021 | asharmalik19 | 1 | - [x] closes #35202
- [x] [Tests added and passed]
- [x] All [code checks passed]
- [ ] Added [type annotations]
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| [
"Testing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @asharmalik19 "
] |
2,886,270,471 | 61,020 | DOC: df.plot() is missing color parameter on documentation | open | 2025-02-28T05:54:38 | 2025-05-02T16:40:04 | null | https://github.com/pandas-dev/pandas/issues/61020 | true | null | null | eicchen | 5 | ### 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.plot.html
### Documentation problem
The documentaion o... | [
"Docs",
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Thanks for the report! Related: #11042\n\nSince pandas can interact with multiple backends, and these can have different arguments, we'd need to add a compatibility layer and some backends could take some arguments but not others. As such, I think it's better to document arguments for each backend.\n\nI'... |
2,886,265,840 | 61,019 | BUG: df.plot() multi-column subplots & title interaction | closed | 2025-02-28T05:50:48 | 2025-05-07T16:11:20 | 2025-05-07T16:11:20 | https://github.com/pandas-dev/pandas/issues/61019 | true | null | null | eicchen | 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",
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I can take this and #61018 if other people can confirm the issue",
"take",
"Thanks for the report! Agreed this should be fixed."
] |
2,886,254,623 | 61,018 | BUG: df.plot() "Subplots" changes behavior of how values are stacked using the "Stacked" property | closed | 2025-02-28T05:41:34 | 2025-04-29T16:18:14 | 2025-04-28T20:10:29 | https://github.com/pandas-dev/pandas/issues/61018 | true | null | null | eicchen | 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",
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I can take this and #61019 if other people can confirm the issue",
"take",
"Thanks for the report. Agreed this should be fixed.",
"Question regarding implementation, when stacking subplots, is there a desire for the order of the subplots called to effect the graph? (ex: ('A', 'B') would return B stacked on A... |
2,886,182,938 | 61,017 | BUG: Fix MultiIndex alignment issue in Dataframe-Series binary operat… | closed | 2025-02-28T04:45:01 | 2025-02-28T18:31:41 | 2025-02-28T18:27:00 | https://github.com/pandas-dev/pandas/pull/61017 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61017 | https://github.com/pandas-dev/pandas/pull/61017 | snitish | 1 | …ion in case of different levels
- [ ] closes #61009
- [ ] [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/contributi... | [
"Bug",
"MultiIndex"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @snitish "
] |
2,884,157,876 | 61,016 | BUG: Cannot cast float to int using map function | closed | 2025-02-27T10:54:58 | 2025-03-03T23:14:00 | 2025-03-03T23:13:09 | https://github.com/pandas-dev/pandas/issues/61016 | true | null | null | nic9lif3 | 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",
"Dtype Conversions",
"Apply"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Take",
"Thanks for the report! Please provide a reproducible example. Also when providing examples, it'd be appreciated if you can make them as minimal as possible.\n\nI'd hazard a guess that when reading from the file, the values in `LYM3` are not floats even though they appear to be. Can you check this with:\n... |
2,883,489,124 | 61,015 | Update describe.py | closed | 2025-02-27T05:40:16 | 2025-02-27T16:19:29 | 2025-02-27T16:19:28 | https://github.com/pandas-dev/pandas/pull/61015 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61015 | https://github.com/pandas-dev/pandas/pull/61015 | mdjaved24 | 1 | Updated the code to exclude 0.5 percentile
Excluded the 0.5 percentile from the code where a value is passed.
Added a test case to validate if 0.5 percentile is excluded or not
| [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"As mentioned before, you have an open pull request in https://github.com/pandas-dev/pandas/pull/60986 and we prefer you update that pull request with updates.\r\n\r\nIf you need guidance on how to do that see https://pandas.pydata.org/docs/development/contributing.html#updating-your-pull-request. Closing this PR i... |
2,883,253,756 | 61,014 | PERF: use `blk.dtype` in `where()` & `_setitem_frame()` | closed | 2025-02-27T02:35:03 | 2025-02-28T18:23:09 | 2025-02-28T18:22:59 | https://github.com/pandas-dev/pandas/pull/61014 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61014 | https://github.com/pandas-dev/pandas/pull/61014 | auderson | 4 | - [ ] closes #61010 (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... | [
"Performance"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke \r\nHi, do I need to add this in whatsnew? 2.3.0 or 3.0.0?",
"This pattern is also found in `_setitem_frame`:\r\n\r\nhttps://github.com/pandas-dev/pandas/blob/5da9eb726c915412928ee44a0631a74bda614556/pandas/core/frame.py#L4276-L4289\r\n\r\n#### Before\r\n docstring | closed | 2025-02-26T20:23:33 | 2025-02-26T21:45:46 | 2025-02-26T21:09:26 | https://github.com/pandas-dev/pandas/pull/61013 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61013 | https://github.com/pandas-dev/pandas/pull/61013 | carsfox | 1 | Updated to reflect existing behavior of allowing any iterable
- [x] closes #59890
- [ ] [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-d... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @carsfox "
] |
2,882,403,244 | 61,012 | removed "if we" typo in is_dtype() doc | closed | 2025-02-26T17:53:54 | 2025-02-26T19:15:21 | 2025-02-26T19:15:13 | https://github.com/pandas-dev/pandas/pull/61012 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61012 | https://github.com/pandas-dev/pandas/pull/61012 | arthurlw | 1 | - [x] closes #61011
- [ ] [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"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @arthurlw "
] |
2,882,018,074 | 61,011 | DOC: fix docstring typo | closed | 2025-02-26T15:33:08 | 2025-02-26T19:15:14 | 2025-02-26T19:15:14 | https://github.com/pandas-dev/pandas/issues/61011 | true | null | null | mgyist | 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://github.com/pandas-dev/pandas/blob/main/pandas/core/dtypes/dtypes.py
### Documentation problem
There seem to ... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Take"
] |
2,880,934,608 | 61,010 | PERF: bottleneck in `where()` | closed | 2025-02-26T09:47:27 | 2025-02-28T18:23:02 | 2025-02-28T18:23:01 | https://github.com/pandas-dev/pandas/issues/61010 | true | null | null | auderson | 5 | ### 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",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi @auderson do U have a benchmark U r comparing against?",
"@samukweku No, but I do find the % of time spent by `is_bool_dtype` increases with the num of columns.",
"a crude benchmark, comparing against numpy: \n\n```\nnp.random.seed(3)\ndf = pd.DataFrame(np.random.randn(1, 1_000_000))\nmask = df > 0.5\n\n%ti... |
2,879,874,462 | 61,009 | BUG: `.mul` on multi index columns doesnt work. | closed | 2025-02-26T01:07:36 | 2025-02-28T18:27:02 | 2025-02-28T18:27:02 | https://github.com/pandas-dev/pandas/issues/61009 | true | null | null | Andre-Medina | 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 | [
"I'm able to reproduce this bug on main. The issue seems to be in this line -\nhttps://github.com/pandas-dev/pandas/blob/5da9eb726c915412928ee44a0631a74bda614556/pandas/core/generic.py#L9642\n\n`.reindex(join_index, level=level)` is unable to reindex if `join_index` is a `MultiIndex` with partially different levels... |
2,879,632,052 | 61,008 | docs: include option 'delete_rows' into `DataFrame.to_sql` | closed | 2025-02-25T21:48:04 | 2025-02-26T00:53:28 | 2025-02-26T00:53:21 | https://github.com/pandas-dev/pandas/pull/61008 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61008 | https://github.com/pandas-dev/pandas/pull/61008 | gmcrocetti | 1 | - [x] 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... | [
"Docs",
"IO SQL"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @gmcrocetti "
] |
2,879,602,978 | 61,007 | TST: parametrize test_common | closed | 2025-02-25T21:30:37 | 2025-02-25T22:39:49 | 2025-02-25T22:39:43 | https://github.com/pandas-dev/pandas/pull/61007 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61007 | https://github.com/pandas-dev/pandas/pull/61007 | 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",
"Clean"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @fangchenli "
] |
2,878,892,638 | 61,006 | ENH: json_normalize should work with JSON | closed | 2025-02-25T16:09:43 | 2025-03-05T19:00:09 | 2025-03-05T19:00:08 | https://github.com/pandas-dev/pandas/issues/61006 | true | null | null | jessekv | 3 | ### Feature Type
- [x] Adding new functionality to pandas
- [x] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I wish `pd.json_normalize` accepted JSON (as str or bytes), and not just `dict`.
Or, as a joke, there could be a `pd.dict_normalize` th... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Can you please clarify @vdwees \n\nIs this what you are expecting ?\n\n```\ndf = pd.json_normalize([\n '{\"value\": 0.0}',\n '{\"value\": 0.005787037}',\n '{\"value\": 0.0115740741}',\n '{\"value\": 0.0173611111}'\n])\n\nprint(df)\n```\n\nOutput :\n```\nvalue\n0.0\n0.005787037\n0.0115740741\n... |
2,878,882,671 | 61,005 | BUG: scatter and line matplotlib plots not compatible for sharex=True datetime plots | closed | 2025-02-25T16:06:08 | 2025-04-09T16:28:52 | 2025-04-09T16:28:52 | https://github.com/pandas-dev/pandas/issues/61005 | true | null | null | jonbanks87 | 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",
"Visualization"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"I was able to reproduce the bug on main. This seems to be due to the two plots (scatter and line) having different xaxis types. The scatter plot keeps the 'datetime' column as is, but the line plot converts it to a `PeriodIndex` due to\nhttps://github.com/pandas-dev/pandas/blob/d1ec1a4c9b58a9ebff482af2b918094e39d8... |
2,878,752,276 | 61,004 | DOC: Fix missing a closing bracket in contributing codebase | closed | 2025-02-25T15:23:49 | 2025-02-25T17:52:00 | 2025-02-25T17:51:53 | https://github.com/pandas-dev/pandas/pull/61004 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61004 | https://github.com/pandas-dev/pandas/pull/61004 | chilin0525 | 1 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @chilin0525 "
] |
2,878,449,388 | 61,003 | DOC: Updates to documentation | closed | 2025-02-25T13:44:49 | 2025-02-26T00:51:35 | 2025-02-26T00:51:28 | https://github.com/pandas-dev/pandas/pull/61003 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61003 | https://github.com/pandas-dev/pandas/pull/61003 | PenguinPen | 1 | Updated the doc to make iloc assignment visible on webpage. | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @PenguinPen "
] |
2,876,900,016 | 61,002 | DOC: fix ES01 for pandas.DataFrame.astype | closed | 2025-02-25T04:29:12 | 2025-02-25T17:44:36 | 2025-02-25T17:44:28 | https://github.com/pandas-dev/pandas/pull/61002 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61002 | https://github.com/pandas-dev/pandas/pull/61002 | tuhinsharma121 | 2 | fixes
```
pandas.DataFrame.astype ES01
``` | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"cc @mroeschke ",
"Thanks @tuhinsharma121 "
] |
2,876,216,476 | 61,001 | Backport PR #61000 on branch 2.3.x (TST: Change sqlite test query string values to single quotes) | closed | 2025-02-24T21:40:02 | 2025-02-24T23:21:05 | 2025-02-24T23:21:05 | https://github.com/pandas-dev/pandas/pull/61001 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61001 | https://github.com/pandas-dev/pandas/pull/61001 | meeseeksmachine | 0 | Backport PR #61000: TST: Change sqlite test query string values to single quotes | [
"Testing",
"IO SQL"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,876,109,240 | 61,000 | TST: Change sqlite test query string values to single quotes | closed | 2025-02-24T20:44:36 | 2025-02-24T21:39:37 | 2025-02-24T21:39:27 | https://github.com/pandas-dev/pandas/pull/61000 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/61000 | https://github.com/pandas-dev/pandas/pull/61000 | mroeschke | 1 | xref https://github.com/pandas-dev/pandas/actions/runs/13505086719/job/37732738398
Might be a new failure interaction with `sqlite3` and sqlite 3.49 being released recently https://www.sqlite.org/changes.html, but if this query is backward compatible we might as well use this form.
closes https://github.com/panda... | [
"Testing",
"IO SQL"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Since this is passing on sqlite 3.48 (tested on ubuntu-arm) and 3.49 (tested on ubuntu-(x86)), going to merge to get to green"
] |
2,875,724,190 | 60,999 | ENH: Pass col_len to on_bad_lines callable | open | 2025-02-24T17:43:02 | 2025-03-01T22:35:20 | null | https://github.com/pandas-dev/pandas/issues/60999 | true | null | null | ansalls | 9 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I have a third-party component that I process the results from. It appends an undefined number of additional fields to a line in a CSV f... | [
"Enhancement",
"IO CSV",
"Needs Discussion"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. Can you give an example CSV (just a sample - a few lines) that demonstrates the issue.",
"colA, colB, colC\nval1, val2, val3\nval4, val5, val6, val7\nval8, val9, val10, val11, val12\nval13, val14, val15\n\nI'd like to just drop val7, val11, and val12 without a parser warning via something ... |
2,875,308,571 | 60,998 | ENH: Add `to_numeric_br()` function to convert Brazilian-formatted numbers | open | 2025-02-24T15:12:41 | 2025-02-25T17:04:23 | null | https://github.com/pandas-dev/pandas/issues/60998 | true | null | null | Veras-D | 6 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I wish I could use Pandas to easily convert numbers formatted in the Brazilian style (`1.234,56`) into numeric types.
Currently, `pd.to... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"See also #4674, and #56934 which would have added this support. ",
"I've encountered a similar need to handle Brazilian number formatting and created a function that might be helpful. It addresses the different `errors` parameter options as well.\n\n```python\nimport pandas as pd\nimport numpy as np\n\ndef to_n... |
2,874,780,199 | 60,997 | BUG: fix read_json ignoring the dtype with the pyarrow engine | closed | 2025-02-24T12:17:40 | 2025-03-19T18:12:59 | 2025-03-19T18:12:52 | https://github.com/pandas-dev/pandas/pull/60997 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60997 | https://github.com/pandas-dev/pandas/pull/60997 | will-larkin | 4 | - Added code to check if dtypes have been passed in, if they are, read the JSON with the schema built from those dtypes
- Split read JSON function up for the respective engines
- [X] closes #59516 (Replace xxxx with the GitHub issue number)
- [X] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/... | [
"IO JSON",
"Arrow"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Could any reviewers point me in the right direction with the failing test? Can't seem to figure out what is causing it",
"I believe that issue appears in pyarrow < 16. In your test you can check that pyarrow version and filter the warning if that is detected",
"> I believe that issue appears in pyarrow < 16. I... |
2,873,893,999 | 60,995 | WEB: Fix donation page | closed | 2025-02-24T05:30:01 | 2025-02-24T07:42:19 | 2025-02-24T07:42:06 | https://github.com/pandas-dev/pandas/pull/60995 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60995 | https://github.com/pandas-dev/pandas/pull/60995 | koushik-rout-samsung | 1 | Closes #60360
| [
"Web"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @koushik-rout-samsung, very nice"
] |
2,873,312,154 | 60,994 | BUG: `iloc` with `Series` as indexer fails for `__getitem__` but works with `__setitem__` | closed | 2025-02-23T16:29:36 | 2025-04-09T16:27:06 | 2025-04-09T16:27:06 | https://github.com/pandas-dev/pandas/issues/60994 | true | null | null | luxedo | 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",
"Indexing"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"take",
"Thanks for the report. This was discussed in https://github.com/pandas-dev/pandas/issues/3631, I think the conclusion from that was we'd be okay supporting Boolean masks in `.iloc`. I believe this is why it was closed by raising a `NotImplemented` (yet) error.\n\nhttps://github.com/pandas-dev/pandas/issu... |
2,873,254,054 | 60,993 | ENH(string dtype): fallback for HDF5 with UTF-8 surrogates | closed | 2025-02-23T15:04:04 | 2025-06-12T19:19:10 | 2025-04-16T14:25:08 | https://github.com/pandas-dev/pandas/pull/60993 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60993 | https://github.com/pandas-dev/pandas/pull/60993 | rhshadrach | 8 | - [ ] 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... | [
"IO HDF5",
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Looks good to me!\r\n\r\n> Another option here is to fallback to `object` instead of `StringDtype(storage=\"python\")`, but it seems with `infer_string=True` the latter is more appropriate.\r\n\r\nI think there is also something to say for using `object` dtype here, to make it clearer to the user that something is... |
2,873,224,597 | 60,992 | BUG: fix PeriodIndex.difference producing incorrect results | closed | 2025-02-23T14:15:17 | 2025-04-04T17:08:46 | 2025-04-04T17:08:46 | https://github.com/pandas-dev/pandas/pull/60992 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60992 | https://github.com/pandas-dev/pandas/pull/60992 | chilin0525 | 2 | - [x] closes #58971
- [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).
- [x... | [
"Stale"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this.",
"Thanks for the pull request, b... |
2,873,186,217 | 60,991 | Update test_describe.py | closed | 2025-02-23T13:15:15 | 2025-02-25T02:18:46 | 2025-02-25T02:18:46 | https://github.com/pandas-dev/pandas/pull/60991 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60991 | https://github.com/pandas-dev/pandas/pull/60991 | mdjaved24 | 2 | Added test case
Modified the .describe() method to avoid adding the 50th percentile by default when a custom percentiles list is provided.
Added a test case to verify the behavior when a single percentile is passed. | [] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mdjaved24 Hi, I noticed you already open a PR (https://github.com/pandas-dev/pandas/pull/60986) related to same issue, you should commit and push to same PR instead of creating two separate PRs.",
"Agreed. Please continue working on this feature in https://github.com/pandas-dev/pandas/pull/60986 so closing this... |
2,873,079,963 | 60,990 | DOC: Updated set_index doc with a warning | closed | 2025-02-23T10:21:48 | 2025-03-05T00:39:15 | 2025-03-05T00:39:08 | https://github.com/pandas-dev/pandas/pull/60990 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60990 | https://github.com/pandas-dev/pandas/pull/60990 | SaraInCode | 1 | - [x] closes #60973
- [ ] [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 @SaraInCode "
] |
2,872,891,102 | 60,989 | BUG: `Urgent` - All PR's are getting deployment errors in git pipeline | closed | 2025-02-23T03:31:35 | 2025-02-24T23:21:18 | 2025-02-24T21:39:28 | https://github.com/pandas-dev/pandas/issues/60989 | true | null | null | Anurag-Varma | 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",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"The deployment is not working and failing in few cases.\n\nAttached the logs above and the run [link](https://github.com/pandas-dev/pandas/actions/runs/13478588009)",
"Which version of Pandas are you using, @Anurag-Varma?",
"INSTALLED VERSIONS\n------------------\ncommit : 6bcd30397d67c3887288c7... |
2,872,775,972 | 60,988 | BUG: The Series `.map()` function frequently fails when using dictionaries with tuple keys in various cases. | closed | 2025-02-22T22:56:33 | 2025-03-07T23:51:47 | 2025-03-07T23:51:47 | https://github.com/pandas-dev/pandas/issues/60988 | true | null | null | Anurag-Varma | 2 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"IO Data"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"When I was trying to fix the issue #60695 \n\nThe below test case was failing:\n`pandas/tests/series/methods/test_map.py::test_map_dict_with_tuple_keys`\n\nWhen i further tried to fix it, then found that `Series.map()` was failing for multiple examples as mentioned above.",
"take"
] |
2,871,530,232 | 60,987 | MNT: Bump dev pin on NumPy | closed | 2025-02-22T21:22:35 | 2025-04-03T20:42:25 | 2025-04-03T15:30:25 | https://github.com/pandas-dev/pandas/pull/60987 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60987 | https://github.com/pandas-dev/pandas/pull/60987 | rhshadrach | 8 | - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/con... | [
"Dependencies"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke @WillAyd - it will be a significant change to start returning Python objects instead of NumPy across the board. Do we want to make that (in separate PRs) before merging this?",
"If it is a significant effort then I would say as long as we don't introduce new NumPy scalars in return values then we are... |
2,871,044,808 | 60,986 | Update describe.py | closed | 2025-02-22T17:14:56 | 2025-03-24T16:46:26 | 2025-03-24T16:46:26 | https://github.com/pandas-dev/pandas/pull/60986 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60986 | https://github.com/pandas-dev/pandas/pull/60986 | mdjaved24 | 1 | This PR fixes an issue where passing a single value to .describe(percentiles=[...]) would incorrectly include the 50th percentile (median) in the output. The fix ensures that only the explicitly requested percentiles are returned.
Changes:
Modified the .describe() method to avoid adding the 50th percentile by defau... | [
"Enhancement"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | [
"Thanks for the PR, but https://github.com/pandas-dev/pandas/pull/61158 has addressed and closed the original issue so closing this PR. Happy to have your contributions towards other PRs"
] |
2,870,876,731 | 60,985 | BUG(string dtype): groupby/resampler.min/max returns float on all NA strings | closed | 2025-02-22T15:30:08 | 2025-06-11T13:59:45 | 2025-04-19T15:22:37 | https://github.com/pandas-dev/pandas/pull/60985 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60985 | https://github.com/pandas-dev/pandas/pull/60985 | rhshadrach | 4 | - [x] closes #60810 (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/co... | [
"Bug",
"Groupby",
"Missing-data",
"Strings",
"Reduction Operations"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"@mroeschke I think this is ready.",
"Thanks @rhshadrach ",
"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 b... |
2,870,742,000 | 60,984 | Backport PR #60938: ENH(string dtype): Implement cumsum for Python-backed strings | closed | 2025-02-22T13:28:24 | 2025-02-22T20:48:53 | 2025-02-22T18:51:17 | https://github.com/pandas-dev/pandas/pull/60984 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60984 | https://github.com/pandas-dev/pandas/pull/60984 | rhshadrach | 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... | [
"Strings"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] |
2,870,559,445 | 60,983 | BUG: Fix concat DataFrame and Series with ignore_index=True | closed | 2025-02-22T06:57:33 | 2025-03-07T01:04:25 | 2025-03-07T01:04:18 | https://github.com/pandas-dev/pandas/pull/60983 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60983 | https://github.com/pandas-dev/pandas/pull/60983 | Anurag-Varma | 3 | - [x] closes #60723
- [x] closes #56257
- [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.h... | [
"Bug",
"Reshaping"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Hi @rhshadrach\r\n\r\nRequesting a review as no reviewer is assigned to the PR\r\n\r\nThanks",
"Hi @rhshadrach I have done the requested changes from the review",
"Thanks @Anurag-Varma "
] |
2,870,491,369 | 60,982 | DOC: Add missing punctuation to pandas documentation | closed | 2025-02-22T04:44:32 | 2025-02-24T18:25:42 | 2025-02-24T18:25:34 | https://github.com/pandas-dev/pandas/pull/60982 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60982 | https://github.com/pandas-dev/pandas/pull/60982 | star1327p | 1 | Add missing punctuation to pandas documentation:
1. `doc/source/user_guide/text.rst`
2. `doc/source/reference/arrays.rst`
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) ... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @star1327p "
] |
2,870,025,992 | 60,981 | ENH: Skip costly `is_unique` call while creating `Categorical` arrays | open | 2025-02-21T21:17:56 | 2025-03-07T02:54:20 | null | https://github.com/pandas-dev/pandas/issues/60981 | true | null | null | boxblox | 6 | ### Feature Type
- [x] Adding new functionality to pandas
- [ ] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
I often create `Categorical` data structures. In certain circumstances the number of unique categories can be quite large -- the overal... | [
"Enhancement",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"the `_simple_new` `classmethod` seems to be the culprit in `categorical.py`. Specifically, this `is_unique` call comes in with the `update_dtype` call.\n\n```\n@classmethod\n# error: Argument 2 of \"_simple_new\" is incompatible with supertype\n# \"NDArrayBacked\"; supertype defines the argument type as\n# \"Unio... |
2,869,697,658 | 60,980 | BUG: invalid result of reindex on columns after unstack with Period data | closed | 2025-02-21T18:07:08 | 2025-03-17T16:55:32 | 2025-03-17T16:55:32 | https://github.com/pandas-dev/pandas/issues/60980 | true | null | null | a-rvn | 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 | [
"take",
"Thanks for the report! Confirmed on main. There has to be some internal state that gets set wrong. Constructing the unstacked result directly:\n\n```python\nseries1 = pd.DataFrame(\n [(0, \"s2\", pd.Period(2022)), (0, \"s1\", pd.Period(2021))],\n columns=[\"A\", \"B\", \"C\"]\n).set_index([\"A\", \"B... |
2,869,577,269 | 60,979 | DOC: Add missing attributes to Styler class | closed | 2025-02-21T17:05:11 | 2025-02-21T18:07:01 | 2025-02-21T18:06:52 | https://github.com/pandas-dev/pandas/pull/60979 | true | https://api.github.com/repos/pandas-dev/pandas/pulls/60979 | https://github.com/pandas-dev/pandas/pull/60979 | Rishab260 | 1 | - [x] closes #60815
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Validated changes using `python scripts/validate_docstrings.py pandas.io.formats.style.Styler`
### Tasks performed
- Added documentation for `index` and `columns... | [
"Docs"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks @Rishab260 "
] |
2,868,955,562 | 60,978 | BUG: Unexpected datetime dtype change on assignments | closed | 2025-02-21T12:52:59 | 2025-02-21T18:02:43 | 2025-02-21T18:02:40 | https://github.com/pandas-dev/pandas/issues/60978 | true | null | null | szev77 | 1 | ### Pandas version checks
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/ge... | [
"Bug",
"Needs Triage"
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
"Thanks for the report. \n\nOn main (reflecting the future pandas 3.0), I get the correct behavior where all these assignments return `us` resolution, the original resolution of `ts`, so closing\n\n```python\nIn [5]: ts = pd.Timestamp.today()\n ...: df = pd.DataFrame({\"A\": [ts]})\n\nIn [6]: df[\"B\"] = ts\n .... |
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