chore(deps): update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	>=1.4.3,<3 → >=3,<4

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Release Notes

pandas-dev/pandas (pandas)

v3.0.0: pandas 3.0.0

Compare Source

We are pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes.

The pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.

Highlights include:

• Dedicated string data type by default
• Consistent copy/view behaviour with Copy-on-Write (CoW) (a.k.a. getting rid of the SettingWithCopyWarning)
• New default resolution for datetime-like data
• Initial support for the new pd.col syntax

See the full whatsnew for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher.
The release can be installed from PyPI

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

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[chatgpt-codex-connector]

Restore a Python-3.10-compatible pandas constraint

The new marker pandas>=3,<4; python_version < '3.11' makes dependency resolution fail for all supported Python 3.10 installs, because pandas 3.0 declares support for Python 3.11+ only. This is a regression introduced by this commit: the package still advertises python_requires=">=3.10,<3.14" in setup.py, and the MyPy workflow matrix includes 3.10 (.github/workflows/mypy.yaml), so pip install -r requirements.txt on 3.10 will become unsatisfiable.

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[renovate]

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