feat(highcharts): implement manhattan-gwas

[github-actions]

Implementation: manhattan-gwas - python/highcharts

Implements the python/highcharts version of manhattan-gwas.

File: plots/manhattan-gwas/implementations/python/highcharts.py

Parent Issue: #2925

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The Manhattan plot displays simulated GWAS results on a warm off-white background (#FAF8F1). The title "manhattan-gwas · highcharts · anyplot.ai" and subtitle "Simulated GWAS Results Across Human Chromosomes" are rendered in dark text at the top. The x-axis shows chromosome numbers 1-22 with clear labeling, centered below their respective regions. The y-axis displays "-log₁₀(p-value)" ranging from 0 to 16. Two horizontal reference lines are prominent: a dashed green line at 7.3 (genome-wide significance, p = 5×10⁻⁸) and a dotted gray line at 5 (suggestive, p = 10⁻⁵). Data points are colored with alternating Okabe-Ito palette colors, creating a distinctive "band" pattern where most points cluster near the bottom with scattered peaks above the threshold lines. All text elements are clearly readable against the light background.

Dark render (plot-dark.png): The same plot renders identically on a warm near-black background (#1A1A17), with all chrome elements switching to light colors. Critically, the data point colors remain identical to the light render—each chromosome maintains its exact Okabe-Ito color, proving proper theme implementation. The title, axis labels, tick labels, and reference line text all render in light colors and are fully readable against the dark background with no "dark-on-dark" issues. Grid lines appear subtle and appropriately visible in both renders.

Score: 93/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	9	10
Total	93	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) — All font sizes explicitly set; perfectly readable in both themes
• VQ-02: No Overlap (6/6) — No overlapping text; well-spaced labels
• VQ-03: Element Visibility (6/6) — Marker radius 8px optimal; points clearly visible
• VQ-04: Color Accessibility (2/2) — Okabe-Ito palette CVD-safe; good contrast
• VQ-05: Layout & Canvas (4/4) — Perfect layout with generous margins; 60-70% canvas utilization
• VQ-06: Axis Labels & Title (2/2) — Descriptive labels with clear meaning
• VQ-07: Palette Compliance (2/2) — Okabe-Ito compliant; theme-correct chrome; data colors identical across renders

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (6/8) — Strong design with intentional hierarchy; professional polish
• DE-02: Visual Refinement (4/6) — Subtle grid; L-shaped frame; generous whitespace
• DE-03: Data Storytelling (4/6) — Visual hierarchy guides through significance tiers; threshold lines create focal points

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct scatter plot for Manhattan plot
• SC-02: Required Features (4/4) — All features present
• SC-03: Data Mapping (3/3) — X/Y correctly mapped; all data visible
• SC-04: Title & Legend (3/3) — Title format correct; reference lines properly labeled

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Shows all aspects: significant peaks, suggestive signals, background noise
• DQ-02: Realistic Context (5/5) — Realistic GWAS with human chromosome structure; scientifically plausible
• DQ-03: Appropriate Scale (4/4) — Realistic chromosome sizes and p-value distribution

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Linear flow; no unnecessary functions
• CQ-02: Reproducibility (2/2) — np.random.seed(42) ensures deterministic output
• CQ-03: Clean Imports (2/2) — All imports used; no unused dependencies
• CQ-04: Code Elegance (2/2) — Clean, Pythonic, appropriate complexity
• CQ-05: Output & API (1/1) — Correct output files; current API

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5) — Expert Highcharts usage with proper series config and theme adaptation
• LM-02: Distinctive Features (4/5) — Uses plotLines for thresholds, custom label formatter, marker styling

Score Caps Applied

• None

Strengths

• Perfect text legibility and visual hierarchy across both light and dark themes
• Excellent palette compliance with Okabe-Ito colors properly applied and theme-aware chrome
• Comprehensive GWAS data with realistic chromosome structure and simulated significant peaks
• Strong library mastery with idiomatic Highcharts usage and custom label formatters
• Clean code structure with explicit font sizing for all text elements
• Proper handling of reference thresholds with clear labels and visual distinction

Weaknesses

• Design Excellence could improve with additional visual emphasis on significant peaks through annotation or visual hierarchy
• Library Mastery could leverage more Highcharts-specific interactive features for enhanced user engagement

Verdict: ✅ APPROVED