Update dependency pandas to v3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	~=2.0 → ~=3.0

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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

Compare Source

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.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 86.47%. Comparing base (5211db6) to head (2ad2c59).

Additional details and impacted files

@@           Coverage Diff           @@
##              dev     #208   +/-   ##
=======================================
  Coverage   86.47%   86.47%           
=======================================
  Files          12       12           
  Lines         621      621           
=======================================
  Hits          537      537           
  Misses         84       84           

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