Update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	>=2.0.0,<3 → >=3.0.2,<4

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Release Notes

pandas-dev/pandas (pandas)

v3.0.2: pandas 3.0.2

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We are pleased to announce the release of pandas 3.0.2.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

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

Pandas 3.0 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.

v3.0.1: pandas 3.0.1

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We are pleased to announce the release of pandas 3.0.1.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

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.

v3.0.0: pandas 3.0.0

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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.

v2.3.3: Pandas 2.3.3

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We are pleased to announce the release of pandas 2.3.3.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.3 supports Python 3.9 and higher, and is the first release to support Python 3.14.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

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

Thanks to all the contributors who made this release possible.

v2.3.2: Pandas 2.3.2

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We are pleased to announce the release of pandas 2.3.2.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.2 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

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

Thanks to all the contributors who made this release possible.

v2.3.1: Pandas 2.3.1

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We are pleased to announce the release of pandas 2.3.1.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.1 supports Python 3.9 and higher.

The release will be available on the conda-forge channel:

conda install pandas --channel conda-forge

Or via PyPI:

python3 -m pip install --upgrade pandas

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

Thanks to all the contributors who made this release possible.

v2.3.0: Pandas 2.3.0

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We are pleased to announce the release of pandas 2.3.0.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.
Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

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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⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

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The artifact failure details are included below:

File name: uv.lock

Command failed: uv lock --upgrade-package pandas
warning: The `requires-python` specifier (`~=3.9`) in `devops-deployment-metrics` uses the tilde specifier (`~=`) without a patch version. This will be interpreted as `>=3.9, <4`. Did you mean `~=3.9.0` to constrain the version as `>=3.9.0, <3.10`? We recommend only using the tilde specifier with a patch version to avoid ambiguity.
Using CPython 3.9.25 interpreter at: /opt/containerbase/tools/python/3.9.25/bin/python3
  × No solution found when resolving dependencies for split (markers:
  │ python_full_version == '3.10.*'):
  ╰─▶ Because the requested Python version (>=3.9, <4) does not satisfy
      Python>=3.11 and pandas==3.0.2 depends on Python>=3.11, we can conclude
      that pandas==3.0.2 cannot be used.
      And because only pandas<=3.0.2 is available and your project depends
      on pandas>=3.0.2, we can conclude that your project's requirements are
      unsatisfiable.

      hint: While the active Python version is 3.9, the resolution failed for
      other Python versions supported by your project. Consider limiting your
      project's supported Python versions using `requires-python`.

      hint: The `requires-python` value (>=3.9, <4) includes Python versions
      that are not supported by your dependencies (e.g., pandas==3.0.2 only
      supports >=3.11). Consider using a more restrictive `requires-python`
      value (like >=3.11).