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@tswast tswast commented Dec 8, 2025

Needs testing with the prerelease.

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@tswast tswast requested review from a team as code owners December 8, 2025 19:09
@tswast tswast requested review from PhongChuong and sycai December 8, 2025 19:09
@product-auto-label product-auto-label bot added size: xs Pull request size is extra small. api: bigquery Issues related to the googleapis/python-bigquery-pandas API. labels Dec 8, 2025
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Summary of Changes

Hello @tswast, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a known incompatibility between the pandas-gbq library and the upcoming pandas 3.0.0 release. By introducing an upper version constraint for pandas in the project's dependencies, it ensures that installations will continue to use compatible pandas versions, preventing potential breakage until pandas-gbq is updated to support the new pandas major version.

Highlights

  • Dependency Management: The pandas dependency in setup.py has been updated to explicitly exclude versions 3.0.0 and above. This is a temporary measure to address an incompatibility with pandas-gbq and pandas 3.0.0.
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Code Review

This pull request correctly pins the maximum pandas version to <3.0.0 in setup.py to prevent installation with the incompatible pandas 3.0.0 release. This is a good and necessary change. I have added one suggestion to also include a runtime check for the pandas version. This would improve robustness by providing a clear error message to users who might bypass pip's dependency checks, following a pattern already established in this repository for other dependencies.

"db-dtypes >=1.0.4,<2.0.0",
"numpy >=1.18.1",
"pandas >=1.1.4",
"pandas >=1.1.4, <3.0.0",
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medium

While pinning the dependency here is correct, for added robustness it's good practice to also add a runtime check. This prevents issues if dependency constraints are bypassed during installation (e.g., with pip install --no-deps).

This project already has a pattern for this for the google-cloud-bigquery dependency (see lines 37-39 and the implementation in pandas_gbq/features.py).

I recommend adding a similar check for the pandas version. You could add a check in pandas_gbq/features.py to raise an ImportError if pandas>=3.0.0 is detected.

For example, you could add something like this to pandas_gbq/features.py and call it on package import:

PANDAS_MAXIMUM_VERSION = "3.0.0"

# ... in Features class ...
def pandas_check_version_is_compatible(self):
    import packaging.version
    
    max_version = packaging.version.parse(PANDAS_MAXIMUM_VERSION)
    if self.pandas_installed_version >= max_version:
        raise ImportError(
            f"pandas-gbq is not compatible with pandas>={PANDAS_MAXIMUM_VERSION}. "
            f"Installed version: {self.pandas_installed_version}"
        )

A corresponding unit test in tests/unit/test_features.py would also be needed.

@tswast tswast merged commit d383d0b into main Dec 8, 2025
26 checks passed
@tswast tswast deleted the tswast-patch-1 branch December 8, 2025 20:36
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