chore(deps): update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	==2.3.3 → ==3.0.5

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Release Notes

pandas-dev/pandas (pandas)

v3.0.5: pandas 3.0.5

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We are pleased to announce the release of pandas 3.0.5.
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.

v3.0.4: pandas 3.0.4

Compare Source

We are pleased to announce the release of pandas 3.0.4.
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.

v3.0.3: pandas 3.0.3

Compare Source

We are pleased to announce the release of pandas 3.0.3.
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.

v3.0.2: pandas 3.0.2

Compare Source

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

Compare Source

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

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 various 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 announcement blog post and the detailed release notes 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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[renovate]

⚠️ 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
Using CPython 3.14.6 interpreter at: /opt/containerbase/tools/python/3.14.6/bin/python3.14
  × No solution found when resolving dependencies for split (markers:
  │ python_full_version == '3.10.*'):
  ╰─▶ Because the requested Python version (>=3.10, <3.15) does not satisfy
      Python>=3.11 and pandas==3.0.5 depends on Python>=3.11, we can conclude
      that pandas==3.0.5 cannot be used.
      And because laketower:dev depends on pandas==3.0.5 and your project
      requires laketower:dev, we can conclude that your project's requirements
      are unsatisfiable.

hint: While the active Python version is 3.14, 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 (>=3.10, <3.15) includes Python versions that are not supported by your dependencies (e.g., pandas==3.0.5 only supports >=3.11). Consider using a more restrictive `requires-python` value (like >=3.11).

[rclement]

While laketower still supports Python 3.10, let's keep Pandas version 2.3.x instead of version 3.x.x (which drops support for Python 3.10). This is not critical, this is a dev dependency.