build(deps): bump pandas from 2.3.2 to 2.3.3

[dependabot]

Bumps pandas from 2.3.2 to 2.3.3.

Release notes

Sourced from pandas's releases.

Pandas 2.3.3

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.

Commits

• 9c8bc3e RLS: 2.3.3
• 6aa788a [backport 2.3.x] DOC: prepare 2.3.3 whatsnew notes for release (#62499) (#62508)
• b64f0df [backport 2.3.x] BUG: avoid validation error for ufunc with string[python] ar...
• 058eb2b [backport 2.3.x] BUG: String[pyarrow] comparison with mixed object (#62424) (...
• 2ca088d [backport 2.3.x] DEPR: remove the Period resampling deprecation (#62480) (#62...
• 92bf98f [backport 2.3.x] BUG: fix .str.isdigit to honor unicode superscript for older...
• e57c7d6 Backport PR #62452 on branch 2.3.x (TST: Adjust tests for numexpr 2.13) (#62454)
• e0fe9a0 Backport to 2.3.x: REGR: from_records not initializing subclasses properly (#...
• 23a1085 BUG: improve future warning for boolean operations with missaligned indexes (...
• 6113696 Backport PR #62396 on branch 2.3.x (PKG/DOC: indicate Python 3.14 support in ...
• Additional commits viewable in compare view

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[claude]

Pull Request Review: Pandas 2.3.2 → 2.3.3

Summary

This is a straightforward dependency update from Dependabot that bumps pandas from 2.3.2 to 2.3.3 (patch version update).

Code Quality ✅

• Change scope: Minimal - single line change in requirements.txt
• Style: Follows existing format and conventions
• Best practices: Patch version updates are low-risk and recommended

Functionality Analysis ✅

Pandas usage in codebase: Limited to a single file (mel/cmd/timelog.py:8)

The timelog command uses basic pandas operations:

• pd.read_csv() with dtype and date parsing
• String operations (.str.removeprefix(), .str.split(), .str.startswith())
• DataFrame filtering with .loc[]
• Groupby and aggregation operations

Pandas 2.3.3 changes (from release notes):

• Improvements and fixes to future string data type (preview feature for pandas 3.0)
• Bug fixes for string operations and ufunc handling
• Python 3.14 support added
• Deprecation adjustments for Period resampling

Compatibility Assessment ✅

The operations used in mel/cmd/timelog.py are all stable, core pandas functionality:

• No use of experimental string dtypes
• No Period resampling that was deprecated
• Standard CSV reading, string operations, and groupby aggregations

Risk level: Very low - patch releases maintain backward compatibility

Potential Issues 🟢

None identified. The changes in pandas 2.3.3 are:

1. Bug fixes (improvements to existing functionality)
2. Features unrelated to the code's usage patterns
3. Backward compatible within the 2.3.x series

Test Coverage 📝

• No dedicated tests found for timelog functionality
• Recommend: Manual verification by running mel timelog command with an existing timelog CSV file (if available)
• The update should not break existing functionality given the conservative usage patterns

Security Concerns ✅

No security concerns - this is an official pandas release addressing bug fixes.

Performance Considerations ✅

Patch releases typically include performance improvements or maintain existing performance. No performance regressions expected.

Recommendations

1. ✅ Approve and merge - This is a safe patch update
2. 🔍 Optional: Run ./meta/unit_tests.sh to verify no regressions (if CI hasn't already)
3. 📋 Optional: Consider adding basic tests for timelog command functionality for future confidence

Verdict: APPROVED ✅

This is a standard, low-risk dependency patch update that should be merged.