feat(seaborn): implement ohlc-bar

[github-actions]

Implementation: ohlc-bar - python/seaborn

Implements the python/seaborn version of ohlc-bar.

File: plots/ohlc-bar/implementations/python/seaborn.py

Parent Issue: #3293

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot displays on a warm off-white surface (#FAF8F1) with an OHLC bar chart showing 45 trading days of stock price data. The title "ohlc-bar · seaborn · anyplot.ai" is rendered in dark text (24pt), clearly readable. Axis labels "Date" and "Price ($)" are in dark text at 20pt. Tick labels (dates and prices) are in secondary dark text at 16pt, all highly readable. The OHLC bars use blue (#306998) for up movements and red (#C44E52) for down movements, with vertical lines representing the high-low range and horizontal left/right ticks for open/close prices. The y-axis grid is subtle (15% alpha). All text is perfectly readable with strong contrast. Legibility verdict: PASS.

Dark render (plot-dark.png): The plot displays on a warm near-black surface (#1A1A17) with identical OHLC visualization. Title, axis labels, and tick labels are in light theme colors, all clearly visible and well-contrasted. The data colors are identical to the light render: blue and red bars unchanged between themes, confirming proper theme adaptation. Legibility verdict: PASS — no dark-on-dark failures, all elements clear and readable.

Score: 90/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	15	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	6	10
Total	90	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) — All text explicitly sized and perfectly readable in both themes
• VQ-02: No Overlap (6/6) — Zero overlapping elements; date labels rotated 45° for clarity
• VQ-03: Element Visibility (6/6) — All 45 bars clearly visible with appropriate line width
• VQ-04: Color Accessibility (2/2) — Good contrast; blue/red distinction is CVD-safe
• VQ-05: Layout & Canvas (4/4) — Perfect 16:9 landscape layout at 4800×2700px
• VQ-06: Axis Labels & Title (2/2) — Title format correct; labels descriptive with units
• VQ-07: Palette Compliance (2/2) — Perfect theme chrome; data colors identical across themes

Design Excellence (15/20)

• DE-01: Aesthetic Sophistication (6/8) — Professional theme-adaptive design with clear hierarchy
• DE-02: Visual Refinement (5/6) — Spines removed; custom grid styling; generous whitespace
• DE-03: Data Storytelling (4/6) — Clear color encoding; natural price trend progression

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Perfect OHLC implementation
• SC-02: Required Features (4/4) — All features present and working
• SC-03: Data Mapping (3/3) — Axes correctly assigned; all data visible
• SC-04: Title & Legend (3/3) — Correct format and labels

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Shows all OHLC aspects
• DQ-02: Realistic Context (5/5) — Realistic stock scenario with appropriate volatility
• DQ-03: Appropriate Scale (4/4) — All proportions sensible and correct

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Clean procedural code
• CQ-02: Reproducibility (2/2) — Seeded randomness; fully deterministic
• CQ-03: Clean Imports (2/2) — Only necessary imports; all used
• CQ-04: Code Elegance (2/2) — Pythonic and clean; no fake UI
• CQ-05: Output & API (1/1) — Correct output format and DPI

Library Mastery (6/10)

• LM-01: Idiomatic Usage (4/5) — Good seaborn patterns; appropriate matplotlib mix
• LM-02: Distinctive Features (2/5) — Uses matplotlib primitives (appropriate for OHLC)

Strengths

• Excellent theme adaptation with perfect legibility in both light and dark modes
• Correct OHLC implementation with proper data mapping
• Perfect visual quality with no overlaps or legibility issues
• Clean, reproducible code with proper theme tokens
• All specification requirements met

Weaknesses

• Design Excellence functional but not exceptional
• seaborn-specific features not leveraged (appropriate for this plot type, though)

Verdict: APPROVED ✓