⏭️ Plot Tests Skipped

No plot files changed

Compatibility:

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

AI Review - Attempt 1/3

Quality Evaluation

Criteria Checklist

• VQ-001: Axes labeled correctly (Temperature (°C), Month)
• VQ-002: Visual clarity with theme_minimal(), clean grid
• VQ-003: Elements clear with alpha=0.7, scale=1.5, white edge color
• VQ-004: No overlap issues, legend hidden (not needed)
• VQ-005: Legend not required (single dataset, colors by category)
• VQ-006: Colorblind safe - gradient palette without pure red-green
• VQ-007: Image size correct (1600x900 * scale=3 = 4800x2700)
• VQ-008: Title present and centered
• CR-001: Data accurate - temperature/month data correctly used
• CR-002: Spec compliance - uses geom_area_ridges, proper overlap, alpha, colors
• CR-003: Edge cases N/A (generated sample data)

Code Quality (KISS Style)

Per project guidelines, plot implementations follow simplified KISS style:

• Module docstring with spec-id, title, library
• Simple sequential code structure
• Proper imports and data generation
• Correct file output handling for lets-plot

Strengths

1. Correct ridgeline implementation using geom_area_ridges - the proper lets-plot function
2. Spec-compliant visuals: alpha=0.7 (within 0.6-0.8 range), scale=1.5 for overlap
3. Seasonal gradient colors: Cool blues for winter → warm yellows/reds for summer
4. Proper file handling: Correctly moves files from lets-plot's default output directory
5. Both PNG and HTML output as required for interactive libraries

Minor Observations

1. The color palette uses Python branding colors (#306998, #FFD43B) which is a nice touch but not strictly required
2. File handling with shutil.move is necessary due to lets-plot's default behavior

Issues Found

None - implementation meets all quality criteria.

AI Feedback for Next Attempt

N/A - Implementation approved.

Verdict: APPROVED