chore(deps): update dependency pandas to v3

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Confidence
pandas	==2.3.3 → ==3.0.6

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Release Notes

pandas-dev/pandas (pandas)

v3.0.6: pandas 3.0.6

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We are pleased to announce the release of pandas 3.0.6.
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. This is also the first release to support Python 3.15.

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.

v3.0.5: 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

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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 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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[gemini-code-assist]

Code Review

This pull request updates the pandas dependency to version 3.0.6 across several sample requirements files. However, a critical issue was identified in packages/google-cloud-bigquery-storage/samples/to_dataframe/requirements.txt, where upgrading to pandas==3.0.6 for Python versions below 3.11 (3.7, 3.8, 3.9, and 3.10) will cause installation failures because Pandas 3.0+ requires Python 3.11 or newer. It is recommended to retain older pandas versions for these legacy Python environments.

[gemini-code-assist]

Pandas 3.0.0 and higher requires Python 3.11 or newer. Specifying pandas==3.0.6 for Python 3.7, 3.8, 3.9, and 3.10 will result in installation failures. Please retain the older pandas versions for Python versions below 3.11.

pandas==1.3.5; python_version == '3.7'
pandas==2.0.3; python_version == '3.8'
pandas==2.3.3; python_version >= '3.9' and python_version < '3.11'
pandas==3.0.6; python_version >= '3.11'