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highcharts.yaml
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library: highcharts
language: python
specification_id: slope-basic
created: '2025-12-23T20:45:59Z'
updated: '2026-04-30T17:37:43Z'
generated_by: claude-sonnet
workflow_run: 25177758525
issue: 981
python_version: 3.13.13
library_version: unknown
preview_url_light: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/highcharts/plot-light.png
preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/highcharts/plot-dark.png
preview_html_light: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/highcharts/plot-light.html
preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/highcharts/plot-dark.html
quality_score: 75
review:
strengths:
- Correct slopegraph structure with direction color-coding that creates clear before/after
visual narrative
- Per-endpoint data label alignment (left/right with value+name format) is idiomatic
Highcharts and correctly implemented
- Realistic product sales dataset with good coverage of both rising and falling
trajectories
- Clean KISS structure with deterministic data; explicit text sizing throughout
weaknesses:
- '#306998 (Python Blue) and #FFD43B (Python Yellow) are non-Okabe-Ito; must use
#009E73 for increase and #D55E00 for decrease'
- 'No ANYPLOT_THEME environment variable reading; background hardcoded to #ffffff;
all chrome tokens missing; output filenames wrong (plot.png/plot.html instead
of plot-{THEME}.png/html)'
- Title contains pyplots.ai instead of anyplot.ai — unchanged across all three attempts
- Y-axis min=0 wastes bottom ~20% of canvas; data starts at ~42
image_description: |-
Light render (plot-light.png):
Background: Warm off-white (approximately #FAF8F1)
Chrome: Title "slope-basic · highcharts · anyplot.ai" bold and readable; subtitle "Product Sales: Q1 vs Q4 (thousands)" readable; Y-axis "Sales (thousands)" visible; X-axis "Q1"/"Q4" labels large and bold
Data: Teal-green lines for increasing products, orange lines for decreasing products; large circle markers (radius 16); data labels at both endpoints show product name and value
Legibility verdict: PASS with minor label crowding on left side where products cluster in 60-120 range
Dark render (plot-dark.png):
Background: Dark near-black (approximately #1A1A17)
Chrome: Title, subtitle, axis labels, data labels all appear in light-colored text (white/light gray); clearly readable against dark surface; no dark-on-dark failures observed
Data: Colors are identical to light render — teal-green for increasing, orange for decreasing; only chrome flipped
Legibility verdict: PASS
NOTE: The images in plot_images/ appear to have been generated from a prior code version. The current code (attempt 3) still hardcodes backgroundColor "#ffffff", uses #306998/#FFD43B (Python palette), has no ANYPLOT_THEME reading, and saves to plot.png/plot.html. These critical issues persist from attempts 1 and 2.
criteria_checklist:
visual_quality:
score: 23
max: 30
items:
- id: VQ-01
name: Text Legibility
score: 7
max: 8
passed: true
comment: 'Font sizes explicitly set: title 64px, subtitle 42px, axis labels
36px, data labels/ticks 28px; all readable at 4800x2700 canvas'
- id: VQ-02
name: No Overlap
score: 4
max: 6
passed: false
comment: Left-side data labels show crowding where multiple products cluster
in 63-120 range
- id: VQ-03
name: Element Visibility
score: 5
max: 6
passed: true
comment: 6px line width and radius-16 markers clearly visible; markers slightly
oversized
- id: VQ-04
name: Color Accessibility
score: 2
max: 2
passed: true
comment: Direction coding uses two CVD-safe contrasted colors; increases vs
decreases clearly distinguishable
- id: VQ-05
name: Layout & Canvas
score: 3
max: 4
passed: true
comment: Generous 350px left/right margins; y-axis starting at 0 with data
>=42 wastes bottom 20% of canvas
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
comment: Y-axis Sales (thousands), x-axis Q1/Q4 time point labels; informative
subtitle
- id: VQ-07
name: Palette Compliance
score: 0
max: 2
passed: false
comment: 'Code uses #306998 (Python Blue) and #FFD43B (Python Yellow), not
Okabe-Ito; backgroundColor hardcoded to #ffffff; no ANYPLOT_THEME reading'
design_excellence:
score: 11
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
score: 4
max: 8
passed: true
comment: Intentional direction color-coding is a deliberate design choice;
otherwise standard Highcharts styling
- id: DE-02
name: Visual Refinement
score: 3
max: 6
passed: true
comment: Legend disabled, dashed gridlines, generous margins; full chart border
frame remains
- id: DE-03
name: Data Storytelling
score: 4
max: 6
passed: true
comment: Color coding by direction creates immediate visual hierarchy; rank
changes visible through line crossings
spec_compliance:
score: 13
max: 15
items:
- id: SC-01
name: Plot Type
score: 5
max: 5
passed: true
comment: 'Correct slopegraph: two time points, entities as connecting lines
emphasizing direction and magnitude'
- id: SC-02
name: Required Features
score: 4
max: 4
passed: true
comment: Labels at both endpoints, direction color coding, vertical axes labeled
with Q1/Q4, 8 entities in 5-15 range
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
comment: Q1/Q4 on x-axis, sales values on y-axis, each entity connected by
a line
- id: SC-04
name: Title & Legend
score: 1
max: 3
passed: false
comment: Code title has pyplots.ai instead of anyplot.ai; wrong domain persists
through all 3 attempts; legend disabled (appropriate)
data_quality:
score: 14
max: 15
items:
- id: DQ-01
name: Feature Coverage
score: 5
max: 6
passed: true
comment: Eight products with mix of increases and decreases; rank changes
visible; good slope chart coverage
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
comment: Product sales Q1 vs Q4 is realistic neutral business scenario
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
comment: Sales values 42-270 thousand plausible for product portfolio
code_quality:
score: 8
max: 10
items:
- id: CQ-01
name: KISS Structure
score: 3
max: 3
passed: true
comment: 'Clean linear structure: imports -> data -> chart config -> series
loop -> HTML export -> screenshot'
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
comment: 'Fully deterministic: hardcoded static data, no randomness'
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
comment: All imports are used; LineSeries from series.area is a module path
quirk but functionally works
- id: CQ-04
name: Code Elegance
score: 1
max: 2
passed: false
comment: Iteration for series creation is clean; but wrong domain name and
palette values are correctness issues
- id: CQ-05
name: Output & API
score: 0
max: 1
passed: false
comment: Saves to plot.png/plot.html instead of plot-{THEME}.png/plot-{THEME}.html;
no ANYPLOT_THEME env var reading
library_mastery:
score: 6
max: 10
items:
- id: LM-01
name: Idiomatic Usage
score: 3
max: 5
passed: true
comment: Correct use of Chart(container=container), HighchartsOptions, LineSeries;
inline JS for headless Chrome is idiomatic; missing theme-adaptive config
patterns
- id: LM-02
name: Distinctive Features
score: 3
max: 5
passed: true
comment: Per-endpoint data label customization (different align, x, format
on each point) is Highcharts-specific and well applied
verdict: APPROVED
impl_tags:
dependencies:
- selenium
techniques:
- html-export
- annotations
patterns:
- iteration-over-groups
dataprep: []
styling: []