feat(seaborn): implement ridgeline-basic

[claude]

Summary

Implements ridgeline-basic for seaborn.

Parent Issue: #539
Base Branch: plot/ridgeline-basic

Files

• plots/ridgeline-basic/implementations/seaborn.py

Preview

Preview will be uploaded to GCS staging after this workflow completes.

[github-actions]

⏭️ Plot Tests Skipped

No plot files changed

Compatibility:

Note: Only Python 3.13 is required to pass. Python 3.12 is tested for compatibility.

[claude]

AI Review - Attempt 1/3

Quality Evaluation

Evaluator	Score	Verdict
Claude	88/100	approve

Criteria Checklist

• VQ-001: X-axis labeled correctly ("Temperature (°C)"), Y-axis uses month labels as row identifiers
• VQ-002: Visual clarity excellent - clean white background, no distracting grid
• VQ-003: Elements clear - density curves visible with alpha=0.7, linewidth=1.5
• VQ-004: No overlap issues - month labels positioned cleanly on left side
• VQ-005: Legend N/A - color gradient serves as implicit legend (cool=winter, warm=summer)
• VQ-006: Colorblind safe - coolwarm palette is distinguishable
• VQ-007: Image size correct (16x9, dpi=300)
• VQ-008: Title present and centered ("Monthly Temperature Distribution")
• CQ-001: Type hints not present (N/A for plot scripts per KISS style)
• CQ-002: Docstring minimal (N/A for plot scripts per KISS style)
• CQ-003: Input validation not present (N/A for plot scripts - uses generated data)
• CQ-004: Clear error messages N/A
• CQ-005: Magic numbers present but acceptable for plot scripts
• CR-001: Data accurate - temperature distributions match seasonal pattern
• CR-002: Spec compliance - all requirements met:
  • ✓ Overlapping density distributions (hspace=-0.3)
  • ✓ Semi-transparent fills (alpha=0.7)
  • ✓ KDE smoothing (bw_adjust=0.8)
  • ✓ Gradient coloring (coolwarm palette)
  • ✓ 12 categories (months), 150 observations each
• CR-003: Edge cases N/A for generated data

Issues Found

None significant. The implementation follows the KISS style guidelines for plot scripts (no functions, no classes, no type hints required).

Spec Compliance Notes

✓ Distributions overlap slightly (~30%) for visual appeal - achieved via hspace=-0.3
✓ Semi-transparent fills (alpha 0.7) maintain visibility of overlapping areas
✓ Gradient coloring from cool (blue/winter) to warm (red/summer) adds visual interest
✓ KDE smoothing applied via seaborn's kdeplot with bw_adjust=0.8
✓ 12 categories with 150 observations each (within spec range of 5-20 categories, 50-500+ obs)

AI Feedback for Next Attempt

No changes needed - implementation meets all requirements.

Verdict: APPROVED