Update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	^2.3.3 → ^3.0.0

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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

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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

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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

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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 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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⚠️ Artifact update problem

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

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

• any of the package files in this branch needs updating, or
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The artifact failure details are included below:

File name: jupyter-notebook/poetry.lock

Updating dependencies
Resolving dependencies...

Creating virtualenv jupyter-notebook-o73ccpea-py3.14 in /home/ubuntu/.cache/pypoetry/virtualenvs

The current project's supported Python range (>=3.10.8,<3.14) is not compatible with some of the required packages Python requirement:
  - pandas requires Python >=3.11, so it will not be installable for Python >=3.10.8,<3.11
  - pandas requires Python >=3.11, so it will not be installable for Python >=3.10.8,<3.11
  - pandas requires Python >=3.11, so it will not be installable for Python >=3.10.8,<3.11
  - pandas requires Python >=3.11, so it will not be installable for Python >=3.10.8,<3.11
  - pandas requires Python >=3.11, so it will not be installable for Python >=3.10.8,<3.11

Because no versions of pandas match >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0.2,<3.0.3 || >3.0.3,<3.0.5 || >3.0.5,<4.0.0
 and pandas (3.0.0) requires Python >=3.11, pandas is forbidden.
And because pandas (3.0.1) requires Python >=3.11, pandas is forbidden.
And because pandas (3.0.2) requires Python >=3.11
 and pandas (3.0.3) requires Python >=3.11, pandas is forbidden.
So, because pandas (3.0.5) requires Python >=3.11
 and jupyter-notebook depends on pandas (^3.0.0), version solving failed.

  * Check your dependencies Python requirement: The Python requirement can be specified via the `python` or `markers` properties

    For pandas, a possible solution would be to set the `python` property to ">=3.11,<3.14"
For pandas, a possible solution would be to set the `python` property to ">=3.11,<3.14"
For pandas, a possible solution would be to set the `python` property to ">=3.11,<3.14"
For pandas, a possible solution would be to set the `python` property to ">=3.11,<3.14"
For pandas, a possible solution would be to set the `python` property to ">=3.11,<3.14"

    https://python-poetry.org/docs/dependency-specification/#python-restricted-dependencies,
    https://python-poetry.org/docs/dependency-specification/#using-environment-markers

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