pandas: A Powerful Python Data Analysis Toolkit


Testing
Package
Meta

What is it?

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open-source data analysis/manipulation tool available in any language. It is already well on its way towards this goal.

Main Features
Where to get it
Dependencies
Installation from sources
License
Documentation
Background
Getting Help
Discussion and Development
Contributing to pandas

Main Features

Here are just a few of the things that pandas does well:

Easy handling of missing data (represented as NaN, NA, or NaT) in floating point as well as non-floating point data
Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let Series, DataFrame, etc. automatically align the data for you in computations
Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
Make it easy to convert ragged, differently-indexed data in other Python and NumPy data structures into DataFrame objects
Intelligent label-based slicing, fancy indexing, and subsetting of large data sets
Intuitive merging and joining data sets
Flexible reshaping and pivoting of data sets
Hierarchical labeling of axes (possible to have multiple labels per tick)
Robust I/O tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format
Time series-specific functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging

Where to get it

The source code is currently hosted on GitHub at: https://github.com/pandas-dev/pandas

Binary installers for the latest released version are available at the Python Package Index (PyPI) and on Conda.

# conda
conda install -c conda-forge pandas

# or PyPI
pip install pandas

The list of changes to pandas between each release can be found here. For full details, see the commit logs at https://github.com/pandas-dev/pandas.

Dependencies

See the full installation instructions for minimum supported versions of required, recommended and optional dependencies.

Installation from sources

To install pandas from source you need Cython in addition to the normal dependencies above. Cython can be installed from PyPI:

pip install cython

In the pandas directory (same one where you found this file after cloning the git repo), execute:

pip install .

or for installing in development mode:

python -m pip install -ve . --no-build-isolation --config-settings editable-verbose=true

See the full instructions for installing from source.

License

BSD 3

Documentation

The official documentation is hosted on PyData.org.

Background

Work on pandas started at AQR (a quantitative hedge fund) in 2008 and has been under active development since then.

Getting Help

For usage questions, the best place to go to is Stack Overflow. Further, general questions and discussions can also take place on the pydata mailing list.

Discussion and Development

Most development discussions take place on GitHub in this repo, via the GitHub issue tracker.

Further, the pandas-dev mailing list can also be used for specialized discussions or design issues, and a Slack channel is available for quick development related questions.

There are also frequent community meetings for project maintainers open to the community as well as monthly new contributor meetings to help support new contributors.

Additional information on the communication channels can be found on the contributor community page.

Contributing to pandas

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.

A detailed overview on how to contribute can be found in the contributing guide.

You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to subscribe to pandas on CodeTriage.

Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’... you can do something about it!

Feel free to ask questions on the mailing list or on Slack.

As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: Contributor Code of Conduct

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Metadata

Release files for pandas 3.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pandas 3.1.0
File	Size	Uploaded	Provenance
pandas-3.1.0.tar.gz	5.9 MB	Oct 22, 2026	With provenance	Details

Built distributions (wheels)

Table of built distributions (wheels) for pandas 3.1.0
File	Interpreter	ABI	Platform	Reset
pandas-3.1.0-cp315-cp315t-win_arm64.whl 10.6 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Windows ARM64	Details
pandas-3.1.0-cp315-cp315t-win_amd64.whl 11.3 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Windows x86-64	Details
pandas-3.1.0-cp315-cp315t-musllinux_1_2_x86_64.whl 12.9 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp315-cp315t-musllinux_1_2_aarch64.whl 12.4 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp315-cp315t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 11.9 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp315-cp315t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.4 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64	Details
pandas-3.1.0-cp315-cp315t-macosx_11_0_arm64.whl 11.7 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp315-cp315t-macosx_10_15_x86_64.whl 12.1 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15 free-threading	macOS 10.15+ x86-64	Details
pandas-3.1.0-cp315-cp315-win_arm64.whl 10.3 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Windows ARM64	Details
pandas-3.1.0-cp315-cp315-win_amd64.whl 10.9 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Windows x86-64	Details
pandas-3.1.0-cp315-cp315-musllinux_1_2_x86_64.whl 13.1 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp315-cp315-musllinux_1_2_aarch64.whl 12.6 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp315-cp315-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 12.0 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp315-cp315-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.5 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
pandas-3.1.0-cp315-cp315-macosx_11_0_arm64.whl 11.3 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp315-cp315-macosx_10_15_x86_64.whl 11.7 MB Oct 22, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 10.15+ x86-64	Details
pandas-3.1.0-cp314-cp314t-win_arm64.whl 10.6 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Windows ARM64	Details
pandas-3.1.0-cp314-cp314t-win_amd64.whl 11.3 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Windows x86-64	Details
pandas-3.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl 12.9 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl 12.4 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 11.9 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.4 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64	Details
pandas-3.1.0-cp314-cp314t-macosx_11_0_arm64.whl 11.7 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp314-cp314t-macosx_10_15_x86_64.whl 12.1 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14 free-threading	macOS 10.15+ x86-64	Details
pandas-3.1.0-cp314-cp314-win_arm64.whl 10.3 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Windows ARM64	Details
pandas-3.1.0-cp314-cp314-win_amd64.whl 10.9 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-64	Details
pandas-3.1.0-cp314-cp314-musllinux_1_2_x86_64.whl 13.1 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp314-cp314-musllinux_1_2_aarch64.whl 12.6 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 12.0 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.5 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64	Details
pandas-3.1.0-cp314-cp314-macosx_11_0_arm64.whl 11.3 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp314-cp314-macosx_10_15_x86_64.whl 11.7 MB Oct 22, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
pandas-3.1.0-cp313-cp313-win_arm64.whl 10.1 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Windows ARM64	Details
pandas-3.1.0-cp313-cp313-win_amd64.whl 10.7 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-64	Details
pandas-3.1.0-cp313-cp313-musllinux_1_2_x86_64.whl 13.0 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp313-cp313-musllinux_1_2_aarch64.whl 12.5 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 12.0 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.4 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
pandas-3.1.0-cp313-cp313-macosx_11_0_arm64.whl 11.2 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp313-cp313-macosx_10_13_x86_64.whl 11.6 MB Oct 22, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
pandas-3.1.0-cp312-cp312-win_arm64.whl 10.1 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Windows ARM64	Details
pandas-3.1.0-cp312-cp312-win_amd64.whl 10.7 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-64	Details
pandas-3.1.0-cp312-cp312-pyemscripten_2024_0_wasm32.whl 8.1 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	PyEmscripten 2024.0+ WebAssembly	Details
pandas-3.1.0-cp312-cp312-musllinux_1_2_x86_64.whl 13.1 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp312-cp312-musllinux_1_2_aarch64.whl 12.5 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 12.0 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.5 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
pandas-3.1.0-cp312-cp312-macosx_11_0_arm64.whl 11.2 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp312-cp312-macosx_10_13_x86_64.whl 11.6 MB Oct 22, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
pandas-3.1.0-cp311-cp311-win_arm64.whl 10.3 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Windows ARM64	Details
pandas-3.1.0-cp311-cp311-win_amd64.whl 11.0 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-64	Details
pandas-3.1.0-cp311-cp311-musllinux_1_2_x86_64.whl 13.4 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
pandas-3.1.0-cp311-cp311-musllinux_1_2_aarch64.whl 12.8 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
pandas-3.1.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 12.3 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
pandas-3.1.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 11.8 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64	Details
pandas-3.1.0-cp311-cp311-macosx_11_0_arm64.whl 11.2 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
pandas-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl 11.6 MB Oct 22, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details

Total release size: 668.9 MB

Release files / pandas-3.1.0.tar.gz

Download URL	pandas-3.1.0.tar.gz
Size	5.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`ecb9b2d8a817b1e1ba1fdb90c0abe9eab31b4fdf2562b7a56b86ac66ace17e49`
BLAKE2b-256 checksum How to use checksums	`55b1a10c0d1a7e3ce44eb42635771004aa503e3b9ddde0bd39c524dda65f7eff`
Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0.tar.gz
SHA-256 checksum: ecb9b2d8a817b1e1ba1fdb90c0abe9eab31b4fdf2562b7a56b86ac66ace17e49 Verifying attestations

Release files / pandas-3.1.0-cp315-cp315t-win_arm64.whl

Download URL	pandas-3.1.0-cp315-cp315t-win_arm64.whl
Size	10.6 MB
Tags	CPython 3.15 CPython 3.15 free-threading Windows ARM64
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp315-cp315t-win_arm64.whl
SHA-256 checksum: f1a93c24175129bfc9922ef748ddae1d8137c743ed835e2615be329f606fed4d Verifying attestations

Release files / pandas-3.1.0-cp315-cp315t-win_amd64.whl

Download URL	pandas-3.1.0-cp315-cp315t-win_amd64.whl
Size	11.3 MB
Tags	CPython 3.15 CPython 3.15 free-threading Windows x86-64
SHA-256 checksum How to use checksums	`3fe234bfb9999552dc54c45851752e56e163218d7663897dca950b4a7c32af39`
BLAKE2b-256 checksum How to use checksums	`e6f94a6965677477dbbb19f8881befb01b67eb6009809db73f7f1b7a0132faf1`
Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp315-cp315t-win_amd64.whl
SHA-256 checksum: 3fe234bfb9999552dc54c45851752e56e163218d7663897dca950b4a7c32af39 Verifying attestations

Release files / pandas-3.1.0-cp315-cp315t-musllinux_1_2_x86_64.whl

Download URL	pandas-3.1.0-cp315-cp315t-musllinux_1_2_x86_64.whl
Size	12.9 MB
Tags	CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`dde9a55ecd3c4f9100ac50ab15e852e4c54fcf372d800e4495e0b2159a0122ab`
BLAKE2b-256 checksum How to use checksums	`92f59d753d85c4ea85b6d1c3735496ae5b416d7ef6905f1845c70e9521d124d9`
Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp315-cp315t-musllinux_1_2_x86_64.whl
SHA-256 checksum: dde9a55ecd3c4f9100ac50ab15e852e4c54fcf372d800e4495e0b2159a0122ab Verifying attestations

Release files / pandas-3.1.0-cp315-cp315t-musllinux_1_2_aarch64.whl

Download URL	pandas-3.1.0-cp315-cp315t-musllinux_1_2_aarch64.whl
Size	12.4 MB
Tags	CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`684ef3add5a92abb99c1622f2bd04b54b8843075a266e8240106ca94ce1d1237`
BLAKE2b-256 checksum How to use checksums	`14898c820bd6fb6ad8f0edb2877639bc7e164bfb4b8e4cdf7a2202f54959ea1b`
Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp315-cp315t-musllinux_1_2_aarch64.whl
SHA-256 checksum: 684ef3add5a92abb99c1622f2bd04b54b8843075a266e8240106ca94ce1d1237 Verifying attestations

Release files / pandas-3.1.0-cp315-cp315t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

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Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Release files / pandas-3.1.0-cp315-cp315t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Identity

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Release files / pandas-3.1.0-cp315-cp315-macosx_11_0_arm64.whl

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Release files / pandas-3.1.0-cp315-cp315-macosx_10_15_x86_64.whl

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Identity

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Identity

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Provenance

Identity

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Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

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Release files / pandas-3.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl

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Publishing repository: github.com/pandas-dev/pandas
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

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Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-win_amd64.whl
SHA-256 checksum: a7704e3d7367cfae71d3f8c95ee81e178c7a90bef8d6eac30df9815010722259 Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-musllinux_1_2_x86_64.whl

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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-musllinux_1_2_x86_64.whl
SHA-256 checksum: ebbc0e652844e52e06d1525e5084ec1609158c086c8646aa6ccb34802102e533 Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-musllinux_1_2_aarch64.whl

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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

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Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

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SHA-256 checksum: e6f83e44846f9386e3593965bac017a54a5b5c611ea7b836ceab7f465bb4cb24 Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	pandas-3.1.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
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Tags	CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 0a28602573f50453b57802d282f9f8cb7663aa10201127ecbbe95ed4a41c64ce Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL	pandas-3.1.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size	11.8 MB
Tags	CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
SHA-256 checksum: 388fad0c683ad061baabe23a76f43bf43c1d2c2fd46572b687082cfa195b7275 Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-macosx_11_0_arm64.whl

Download URL	pandas-3.1.0-cp311-cp311-macosx_11_0_arm64.whl
Size	11.2 MB
Tags	CPython 3.11 macOS 11.0+ ARM64
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: 0d2ca3b380f0f6cc788780430eb23762619730c11d53989f3982ec96835bfb9e Verifying attestations

Release files / pandas-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl

Download URL	pandas-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl
Size	11.6 MB
Tags	CPython 3.11 macOS 10.9+ x86-64
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Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pandas-dev/pandas
Publishing commit: github.com/pandas-dev/pandas/tree/c6f46769b808eb60218189d089dd67841b44f1b9

Workflow

Publishing configuration: github.com/pandas-dev/pandas/blob/c6f46769b808eb60218189d089dd67841b44f1b9/.github/workflows/wheels.yml
Publishing logs: github.com/pandas-dev/pandas/actions/runs/39770113882/attempts/1

Artifact

Subject: pandas-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl
SHA-256 checksum: d53387f8bbff4e7aa567619d4034ffdb1836db1e768a482851b904bbeeed8ef9 Verifying attestations