Skip to content

Commit 9a90fa0

Browse files
datapythonistadatapythonista
authored
Merge branch 'main' into scott/bodo_udf_engine
2 parents cd94be9 + 5c9b671 commit 9a90fa0

File tree

100 files changed

+1477
-473
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

100 files changed

+1477
-473
lines changed

‎.github/workflows/wheels.yml‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -94,7 +94,7 @@ jobs:
9494
buildplat:
9595
- [ubuntu-22.04, manylinux_x86_64]
9696
- [ubuntu-22.04, musllinux_x86_64]
97-
- [macos-12, macosx_x86_64]
97+
- [macos-13, macosx_x86_64]
9898
# Note: M1 images on Github Actions start from macOS 14
9999
- [macos-14, macosx_arm64]
100100
- [windows-2022, win_amd64]

‎.pre-commit-config.yaml‎

Lines changed: 9 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,7 @@ ci:
1919
skip: [pyright, mypy]
2020
repos:
2121
- repo: https://github.com/astral-sh/ruff-pre-commit
22-
rev: v0.8.1
22+
rev: v0.8.6
2323
hooks:
2424
- id: ruff
2525
args: [--exit-non-zero-on-fix]
@@ -34,7 +34,7 @@ repos:
3434
- id: ruff-format
3535
exclude: ^scripts|^pandas/tests/frame/test_query_eval.py
3636
- repo: https://github.com/jendrikseipp/vulture
37-
rev: 'v2.13'
37+
rev: 'v2.14'
3838
hooks:
3939
- id: vulture
4040
entry: python scripts/run_vulture.py
@@ -74,7 +74,7 @@ repos:
7474
hooks:
7575
- id: isort
7676
- repo: https://github.com/asottile/pyupgrade
77-
rev: v3.19.0
77+
rev: v3.19.1
7878
hooks:
7979
- id: pyupgrade
8080
args: [--py310-plus]
@@ -95,12 +95,17 @@ repos:
9595
- id: sphinx-lint
9696
args: ["--enable", "all", "--disable", "line-too-long"]
9797
- repo: https://github.com/pre-commit/mirrors-clang-format
98-
rev: v19.1.4
98+
rev: v19.1.6
9999
hooks:
100100
- id: clang-format
101101
files: ^pandas/_libs/src|^pandas/_libs/include
102102
args: [-i]
103103
types_or: [c, c++]
104+
- repo: https://github.com/trim21/pre-commit-mirror-meson
105+
rev: v1.6.1
106+
hooks:
107+
- id: meson-fmt
108+
args: ['--inplace']
104109
- repo: local
105110
hooks:
106111
- id: pyright

‎LICENSE‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -3,7 +3,7 @@ BSD 3-Clause License
33
Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
44
All rights reserved.
55

6-
Copyright (c) 2011-2024, Open source contributors.
6+
Copyright (c) 2011-2025, Open source contributors.
77

88
Redistribution and use in source and binary forms, with or without
99
modification, are permitted provided that the following conditions are met:

‎asv_bench/benchmarks/io/csv.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -594,7 +594,7 @@ def setup(self):
594594
self.StringIO_input = StringIO(data)
595595

596596
def time_read_csv_index_col(self):
597-
read_csv(self.StringIO_input, index_col="a")
597+
read_csv(self.data(self.StringIO_input), index_col="a")
598598

599599

600600
class ReadCSVDatePyarrowEngine(StringIORewind):
@@ -605,7 +605,7 @@ def setup(self):
605605

606606
def time_read_csv_index_col(self):
607607
read_csv(
608-
self.StringIO_input,
608+
self.data(self.StringIO_input),
609609
parse_dates=["a"],
610610
engine="pyarrow",
611611
dtype_backend="pyarrow",

‎ci/code_checks.sh‎

Lines changed: 0 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -81,19 +81,11 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
8181
-i "pandas.Timestamp.resolution PR02" \
8282
-i "pandas.Timestamp.tzinfo GL08" \
8383
-i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
84-
-i "pandas.arrays.NumpyExtensionArray SA01" \
8584
-i "pandas.arrays.TimedeltaArray PR07,SA01" \
8685
-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
8786
-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
88-
-i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
89-
-i "pandas.core.resample.Resampler.mean SA01" \
90-
-i "pandas.core.resample.Resampler.min PR01,RT03,SA01" \
91-
-i "pandas.core.resample.Resampler.prod SA01" \
9287
-i "pandas.core.resample.Resampler.quantile PR01,PR07" \
93-
-i "pandas.core.resample.Resampler.std SA01" \
9488
-i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
95-
-i "pandas.core.resample.Resampler.var SA01" \
96-
-i "pandas.errors.ValueLabelTypeMismatch SA01" \
9789
-i "pandas.plotting.andrews_curves RT03,SA01" \
9890
-i "pandas.tseries.offsets.BDay PR02,SA01" \
9991
-i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \

‎doc/cheatsheet/Pandas_Cheat_Sheet_FA.pdf‎

507 KB
Binary file not shown.

‎doc/cheatsheet/Pandas_Cheat_Sheet_FA.pptx‎

119 KB
Binary file not shown.

‎doc/cheatsheet/README.md‎

Lines changed: 6 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -6,10 +6,12 @@ and pick "PDF" as the format.
66

77
This cheat sheet, originally written by Irv Lustig, [Princeton Consultants](https://www.princetonoptimization.com/), was inspired by the [RStudio Data Wrangling Cheatsheet](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf).
88

9-
| Topic | PDF | PPT |
10-
|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
11-
| Pandas_Cheat_Sheet | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet.pptx" target="_parent"><img src="https://img.shields.io/badge/Open in PPT-B7472A?style=flat-square&logo=microsoft-powerpoint&logoColor=white"/></a> |
12-
| Pandas_Cheat_Sheet_JA | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_JA.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_JA.pptx" target="_parent"><img src="https://img.shields.io/badge/Open in PPT-B7472A?style=flat-square&logo=microsoft-powerpoint&logoColor=white"/></a> |
9+
| Topic | Language | PDF | PPT |
10+
|------------------------|-------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
11+
| Pandas_Cheat_Sheet | English | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet.pptx" target="_parent"><img src="https://img.shields.io/badge/Open in PPT-B7472A?style=flat-square&logo=microsoft-powerpoint&logoColor=white"/></a> |
12+
| Pandas_Cheat_Sheet_JA | Japanese | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_JA.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_JA.pptx" target="_parent"><img src="https://img.shields.io/badge/Open in PPT-B7472A?style=flat-square&logo=microsoft-powerpoint&logoColor=white"/></a> |
13+
| Pandas_Cheat_Sheet_FA | Persian | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_FA.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/pandas-dev/pandas/blob/main/doc/cheatsheet/Pandas_Cheat_Sheet_FA.pptx" target="_parent"><img src="https://img.shields.io/badge/Open in PPT-B7472A?style=flat-square&logo=microsoft-powerpoint&logoColor=white"/></a> |
14+
1315

1416

1517
**Alternative**

‎doc/source/reference/window.rst‎

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -35,6 +35,7 @@ Rolling window functions
3535
Rolling.skew
3636
Rolling.kurt
3737
Rolling.apply
38+
Rolling.pipe
3839
Rolling.aggregate
3940
Rolling.quantile
4041
Rolling.sem
@@ -76,6 +77,7 @@ Expanding window functions
7677
Expanding.skew
7778
Expanding.kurt
7879
Expanding.apply
80+
Expanding.pipe
7981
Expanding.aggregate
8082
Expanding.quantile
8183
Expanding.sem

‎doc/source/user_guide/indexing.rst‎

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -858,9 +858,10 @@ and :ref:`Advanced Indexing <advanced>` you may select along more than one axis
858858
859859
.. warning::
860860

861-
``iloc`` supports two kinds of boolean indexing. If the indexer is a boolean ``Series``,
862-
an error will be raised. For instance, in the following example, ``df.iloc[s.values, 1]`` is ok.
863-
The boolean indexer is an array. But ``df.iloc[s, 1]`` would raise ``ValueError``.
861+
While ``loc`` supports two kinds of boolean indexing, ``iloc`` only supports indexing with a
862+
boolean array. If the indexer is a boolean ``Series``, an error will be raised. For instance,
863+
in the following example, ``df.iloc[s.values, 1]`` is ok. The boolean indexer is an array.
864+
But ``df.iloc[s, 1]`` would raise ``ValueError``.
864865

865866
.. ipython:: python
866867

0 commit comments

Comments
 (0)