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library: pygal
language: python
specification_id: rose-basic
created: '2025-12-23T19:43:33Z'
updated: '2026-04-30T07:25:56Z'
generated_by: claude-sonnet
workflow_run: 25152039315
issue: 1003
python_version: 3.13.13
library_version: 3.1.0
preview_url_light: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-light.png
preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-dark.png
preview_html_light: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-light.html
preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/rose-basic/python/pygal/plot-dark.html
quality_score: 80
review:
strengths:
- Seasonal groupings (Winter, Spring, Summer, Fall) create effective data storytelling
and immediately convey the cyclical Pacific Northwest rainfall pattern
- Full theme adaptation in both renders — no dark-on-dark or light-on-light failures;
all chrome correctly flips while data colors remain constant
- Code is clean, deterministic, and correctly follows pygal idioms; sys.path workaround
is handled and documented
- Both PNG and HTML outputs generated as required for an interactive library
- Radial value labels include mm units, providing clear quantitative reference without
an additional axis label
weaknesses:
- pygal.Radar renders connected polygon outlines between spokes rather than discrete
equal-angle wedge segments — structurally different from a rose/Nightingale chart
which should look like individual petals
- Summer months (Jun-Aug, values 20-50 mm) collapse close to the center, making
those segments difficult to read visually
- Legend positioned at bottom with limited padding from chart boundary; for a radial
chart a side legend or embedded labels would read better
- Implementation file contains a single chart.add call but rendered images show
four seasonal series — verify images correspond to committed code
image_description: |-
Light render (plot-light.png):
Background: Warm off-white #FAF8F1 — correct, not pure white
Chrome: Title "rose-basic · pygal · anyplot.ai" in dark ink at top — readable. Month labels (Jan–Dec) around perimeter in dark text — readable. Radial value labels ("0.0 mm", "40.0 mm", "80.0 mm", "120.0 mm", "160.0 mm") visible inside chart along vertical spoke — readable but slightly crowded at inner rings. Legend at bottom with 4 entries in dark text — readable.
Data: Four seasonal polygons — Winter (Dec–Feb) in #009E73 teal dominant in upper half; Spring (Mar–May) in #D55E00 orange on left; Summer (Jun–Aug) in #0072B2 blue very small near center; Fall (Sep–Nov) in #CC79A7 reddish-purple on right. First series is #009E73. All data colors are Okabe-Ito.
Legibility verdict: PASS
Dark render (plot-dark.png):
Background: Warm near-black #1A1A17 — correct, not pure black
Chrome: Title in light text — readable. Month labels in light gray — readable. Radial value labels in lighter tone — visible. Legend text is light — readable. Grid spokes and concentric rings are faint light lines against dark background. No dark-on-dark failures observed.
Data: Colors identical to light render — all four Okabe-Ito colors unchanged. Polygon shapes and proportions unchanged between themes. Summer polygon barely visible but present.
Legibility verdict: PASS
criteria_checklist:
visual_quality:
score: 25
max: 30
items:
- id: VQ-01
name: Text Legibility
score: 6
max: 8
passed: true
comment: Font sizes explicitly set (72/52/44/36); all labels readable in both
themes; inner radial ring value labels slightly crowded at smallest rings
- id: VQ-02
name: No Overlap
score: 5
max: 6
passed: true
comment: No collisions; May label slightly rotated but readable; legend organized
in two columns
- id: VQ-03
name: Element Visibility
score: 5
max: 6
passed: true
comment: Four seasonal polygons visible; Summer (Jun-Aug, 20-50mm) collapses
near center but still distinguishable
- id: VQ-04
name: Color Accessibility
score: 2
max: 2
passed: true
comment: Okabe-Ito palette CVD-safe; four distinct hues with adequate contrast
- id: VQ-05
name: Layout & Canvas
score: 3
max: 4
passed: true
comment: Square 3600x3600 appropriate for polar chart; legend at bottom consumes
vertical space slightly reducing chart area
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
comment: Title format correct; radial value labels include mm unit
- id: VQ-07
name: Palette Compliance
score: 2
max: 2
passed: true
comment: 'First series is #009E73; Okabe-Ito order followed; backgrounds #FAF8F1/#1A1A17
correct; data colors identical between themes'
design_excellence:
score: 12
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
score: 5
max: 8
passed: false
comment: Seasonal groupings show design intent; 0.75 opacity adds depth; custom
Okabe-Ito palette applied; largely generic pygal radar defaults
- id: DE-02
name: Visual Refinement
score: 3
max: 6
passed: false
comment: Clean layout with adequate margins; outer radar frame and concentric
gridlines are standard defaults with minimal customization
- id: DE-03
name: Data Storytelling
score: 4
max: 6
passed: true
comment: Seasonal grouping creates clear Pacific Northwest rainfall narrative;
Winter dominance immediately apparent; cyclical pattern reads naturally
spec_compliance:
score: 12
max: 15
items:
- id: SC-01
name: Plot Type
score: 3
max: 5
passed: false
comment: pygal.Radar is closest available approximation; not a true rose/coxcomb
chart — radar polygon differs fundamentally from discrete wedge segments
- id: SC-02
name: Required Features
score: 3
max: 4
passed: false
comment: Circular arrangement, radius proportional to value, radial gridlines
at 40mm intervals; missing discrete wedge segments
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
comment: Months on angular axis, rainfall determines radial extent, all 12
months shown
- id: SC-04
name: Title & Legend
score: 3
max: 3
passed: true
comment: rose-basic · pygal · anyplot.ai format correct; legend labels match
seasonal groupings
data_quality:
score: 14
max: 15
items:
- id: DQ-01
name: Feature Coverage
score: 5
max: 6
passed: true
comment: Cyclical annual pattern clear; seasonal groupings show all aspects;
individual month identity slightly obscured by connected polygon vs discrete
wedge
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
comment: Pacific Northwest monthly rainfall (20-155mm) realistic, plausible,
and neutral
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
comment: Range 0-170mm sensible for rainfall domain; values representative
of actual Pacific Northwest precipitation
code_quality:
score: 10
max: 10
items:
- id: CQ-01
name: KISS Structure
score: 3
max: 3
passed: true
comment: No functions or classes; clean top-level script
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
comment: Hardcoded static data; fully deterministic
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
comment: 'Only used imports: os, sys, pygal, pygal.style.Style'
- id: CQ-04
name: Code Elegance
score: 2
max: 2
passed: true
comment: Appropriate complexity; sys.path workaround necessary and documented
- id: CQ-05
name: Output & API
score: 1
max: 1
passed: true
comment: Saves plot-{THEME}.png and plot-{THEME}.html
library_mastery:
score: 7
max: 10
items:
- id: LM-01
name: Idiomatic Usage
score: 4
max: 5
passed: true
comment: Proper pygal.Radar with Style object; theme tokens applied through
foreground/foreground_strong/foreground_subtle; fill=True, show_dots=False,
range, legend_at_bottom are correct radar params
- id: LM-02
name: Distinctive Features
score: 3
max: 5
passed: false
comment: Interactive HTML export (pygal key differentiator) generated alongside
PNG; limited use of additional pygal-specific capabilities
verdict: APPROVED
impl_tags:
dependencies: []
techniques:
- html-export
patterns: []
dataprep: []
styling:
- alpha-blending