diff --git a/plots/bar-grouped/implementations/python/pygal.py b/plots/bar-grouped/implementations/python/pygal.py index 6233694ff1..7881dbebd6 100644 --- a/plots/bar-grouped/implementations/python/pygal.py +++ b/plots/bar-grouped/implementations/python/pygal.py @@ -1,7 +1,7 @@ -""" pyplots.ai +""" anyplot.ai bar-grouped: Grouped Bar Chart -Library: pygal 3.1.0 | Python 3.13.11 -Quality: 92/100 | Created: 2025-12-24 +Library: pygal 3.1.0 | Python 3.13.13 +Quality: 85/100 | Updated: 2026-05-06 """ import pygal diff --git a/plots/bar-grouped/metadata/python/pygal.yaml b/plots/bar-grouped/metadata/python/pygal.yaml index 00c93a01f0..575c4a8ef7 100644 --- a/plots/bar-grouped/metadata/python/pygal.yaml +++ b/plots/bar-grouped/metadata/python/pygal.yaml @@ -1,158 +1,197 @@ library: pygal +language: python specification_id: bar-grouped created: '2025-12-24T21:28:20Z' -updated: '2025-12-24T21:30:30Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20494139035 -issue: 0 -python_version: 3.13.11 +updated: '2026-05-06T11:15:39Z' +generated_by: claude-haiku +workflow_run: 25431367665 +issue: 1822 +python_version: 3.13.13 library_version: 3.1.0 -preview_url: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/pygal/plot.png -preview_html: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/pygal/plot.html -quality_score: 92 -impl_tags: - dependencies: [] - techniques: - - html-export - patterns: [] - dataprep: [] - styling: [] +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/pygal/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/pygal/plot-dark.png +preview_html_light: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/pygal/plot-light.html +preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/pygal/plot-dark.html +quality_score: 85 review: strengths: - - Excellent use of pygal Style class for comprehensive visual customization - - Clean data structure with meaningful business context (quarterly revenue by product) - - Value labels with currency formatting ($X.XM) enhance readability - - Good color palette that is both visually appealing and accessible - - Proper dual output (PNG and HTML) leveraging pygal interactive capabilities + - Perfect visual legibility in both light and dark themes with no contrast or readability + issues + - Correct Okabe-Ito palette implementation with brand green (#009E73) as first series; + theme-adaptive backgrounds and chrome working properly + - Proper grouped bar chart structure with clear visual separation between category + groups and excellent use of the 4800×2700 canvas + - Value labels on bars provide precise data interpretation without clutter + - Clean, deterministic, reproducible code with no unnecessary complexity + - Correct mapping of data to x-axis (quarters), y-axis (revenue), and groups (product + lines) weaknesses: - - Legend placement in top-left could be moved to a less intrusive position - - Font sizes deviate from library style guide recommendations - image_description: 'The plot displays a grouped bar chart showing quarterly revenue - data for three product lines. Four quarters (Q1-Q4) are shown on the x-axis with - three bars per quarter representing Software (blue #306998), Hardware (yellow - #FFD43B), and Services (coral/pink #FF6B6B). The y-axis shows Revenue in millions - of dollars ranging from $0.0M to $6.0M. Each bar has a value label on top (e.g., - $4.2M, $5.1M, $6.3M). The legend is positioned in the top-left corner. The title - "bar-grouped · pygal · pyplots.ai" appears at the top. The background is white - with subtle horizontal grid lines, and the overall layout is clean and well-proportioned.' + - Design lacks visual hierarchy or emphasis - plot displays data clearly but doesn't + guide viewer to key insights + - Four-sided spines present; removing top/right spines would improve visual refinement + per style guide + - Legend labels and axis annotations could be larger and more descriptive + - No distinctive pygal features leveraged (interactive tooltips remain absent in + static output) + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (#FAF8F1), clean and professional + Chrome: Title "bar-grouped · pygal · anyplot.ai" at top in dark text, clearly visible + Y-axis labeled "Revenue ($M)" with dark tick labels + X-axis labeled "Quarter" with Q1-Q4 category labels + Legend in top-left corner showing Software, Hardware, Services + Grid lines subtle and non-competing with data + Data: Three series shown as grouped bars: + - Green (#009E73) = Software (first series, brand green - correct) + - Orange (#D55E00) = Hardware (second series) + - Blue (#0072B2) = Services (third series) + Value labels on top of bars (e.g., "$4.2M") + Legibility verdict: PASS - All text clearly readable, excellent contrast, professional appearance + + Dark render (plot-dark.png): + Background: Warm near-black (#1A1A17), matching light theme color scheme + Chrome: Title in light text, clearly visible against dark background + Y-axis labeled "Revenue ($M)" with light tick labels + X-axis labeled "Quarter" with Q1-Q4 category labels + Legend in top-left corner with light text on dark background + Grid lines subtle against dark surface + Data: Identical colors to light render: + - Green (#009E73) = Software (IDENTICAL to light render) + - Orange (#D55E00) = Hardware (IDENTICAL to light render) + - Blue (#0072B2) = Services (IDENTICAL to light render) + Value labels readable on bars + Legibility verdict: PASS - No dark-on-dark failures, all text readable, proper theme adaptation with identical data colors between light/dark + + Both renders successfully demonstrate theme-adaptive implementation with correct Okabe-Ito palette and theme-appropriate chrome. criteria_checklist: visual_quality: - score: 36 - max: 40 + score: 30 + max: 30 items: - id: VQ-01 name: Text Legibility - score: 9 - max: 10 + score: 8 + max: 8 passed: true - comment: Title, axis labels, and value labels are all clearly readable. Font - sizes are well-scaled for the 4800x2700 canvas. + comment: All text perfectly readable in both light and dark themes with explicit + font sizing for large canvas - id: VQ-02 name: No Overlap - score: 8 - max: 8 + score: 6 + max: 6 passed: true - comment: No overlapping text elements; all labels are cleanly separated. + comment: Bars perfectly spaced with no overlapping elements or text collisions - id: VQ-03 name: Element Visibility - score: 8 - max: 8 + score: 6 + max: 6 passed: true - comment: Bars are well-sized with good spacing between groups and within groups. + comment: All bars, grid lines, and labels clearly visible and appropriately + sized - id: VQ-04 name: Color Accessibility - score: 5 - max: 5 + score: 2 + max: 2 passed: true - comment: Blue, yellow, and coral provide excellent contrast and are colorblind-friendly - (no red-green only distinction). + comment: Okabe-Ito palette with high contrast between series; colorblind-safe - id: VQ-05 - name: Layout Balance + name: Layout & Canvas score: 4 - max: 5 + max: 4 passed: true - comment: Good canvas utilization; plot fills majority of space. Legend placement - in top-left is functional but slightly crowds the first data point area. + comment: Excellent canvas utilization with balanced margins and whitespace - id: VQ-06 - name: Axis Labels + name: Axis Labels & Title score: 2 max: 2 passed: true - comment: 'Both axes have descriptive labels with units: "Revenue ($M)" and - "Quarter".' + comment: Title and axis labels present and descriptive; format follows spec - id: VQ-07 - name: Grid & Legend - score: 0 + name: Palette Compliance + score: 2 max: 2 passed: true - comment: Grid is subtle and appropriate. However, legend position overlaps - with the plot area margin and could be better placed. + comment: 'Okabe-Ito palette correct with first series as #009E73; backgrounds + match theme tokens; chrome properly adapted' + design_excellence: + score: 11 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 5 + max: 8 + passed: false + comment: Professional styling with custom Style object; functional but lacks + distinctive design elements + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: false + comment: Grid subtly styled but all four spines retained; could be refined + by removing top/right spines + - id: DE-03 + name: Data Storytelling + score: 3 + max: 6 + passed: false + comment: Data clearly presented but lacks visual hierarchy or emphasis to + guide viewer attention spec_compliance: - score: 25 - max: 25 + score: 15 + max: 15 items: - id: SC-01 name: Plot Type - score: 8 - max: 8 - passed: true - comment: Correct grouped bar chart implementation. - - id: SC-02 - name: Data Mapping score: 5 max: 5 passed: true - comment: Categories on x-axis, groups as separate series, values as bar heights. - - id: SC-03 + comment: Correct grouped bar chart implementation + - id: SC-02 name: Required Features - score: 5 - max: 5 + score: 4 + max: 4 passed: true - comment: 'All spec features present: distinct colors, clear legend, consistent - bar widths, value labels on bars.' - - id: SC-04 - name: Data Range + comment: 'All required elements present: multiple series, categories, groups, + distinct colors, legend' + - id: SC-03 + name: Data Mapping score: 3 max: 3 passed: true - comment: Y-axis shows full range from 0 to above maximum value. - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: Legend correctly identifies all three product lines. - - id: SC-06 - name: Title Format - score: 2 - max: 2 + comment: Categories on x-axis, values on y-axis, groups properly mapped as + side-by-side bars + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 passed: true - comment: Correctly uses "{spec-id} · {library} · pyplots.ai" format. + comment: Title follows format spec; legend labels match series names data_quality: - score: 19 - max: 20 + score: 14 + max: 15 items: - id: DQ-01 name: Feature Coverage - score: 7 - max: 8 + score: 5 + max: 6 passed: true - comment: Shows variation across quarters and between product lines. Software - shows growth trend, all series show different patterns. + comment: Shows multiple product lines across four quarters demonstrating grouped + bar capability effectively - id: DQ-02 name: Realistic Context - score: 7 - max: 7 + score: 5 + max: 5 passed: true - comment: Quarterly revenue by product line is a real, comprehensible business - scenario. + comment: Quarterly revenue data is realistic and neutral; values plausible + for business context - id: DQ-03 name: Appropriate Scale - score: 5 - max: 5 + score: 4 + max: 4 passed: true - comment: Revenue values in $2.5M-$6.3M range are realistic for product line - quarterly revenue. + comment: Y-axis range (0-6.0M) appropriate for data with sensible increments code_quality: score: 9 max: 10 @@ -162,43 +201,55 @@ review: score: 3 max: 3 passed: true - comment: 'Simple linear flow: imports → data → style → chart → save.' + comment: 'Clean linear code: imports → data → style → chart → save' - id: CQ-02 name: Reproducibility score: 2 - max: 3 + max: 2 passed: true - comment: Data is deterministic (hardcoded values), but no random seed needed - since no random data is used. Minor deduction for not using numpy/random - at all. + comment: Hardcoded deterministic data ensures reproducibility - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only pygal and Style are imported, both are used. + comment: Only necessary imports for pygal and Style - id: CQ-04 - name: No Deprecated API + name: Code Elegance score: 1 - max: 1 - passed: true - comment: Uses current pygal API. + max: 2 + passed: false + comment: Clean code but environment-variable-based theme adaptation could + be more explicit - id: CQ-05 - name: Output Correct + name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png and plot.html. - library_features: - score: 3 - max: 5 + comment: Renders produce plot-light.png, plot-dark.png, and HTML files correctly + library_mastery: + score: 6 + max: 10 items: - - id: LF-01 - name: Uses distinctive library features - score: 3 + - id: LM-01 + name: Idiomatic Usage + score: 4 max: 5 passed: true - comment: Uses pygal's Style customization, print_values with custom formatter, - SVG/PNG dual output. Could leverage more advanced features like tooltips - configuration or animation settings. + comment: Correct use of pygal.Bar(), .add(), Style object following standard + patterns; theme adaptation working + - id: LM-02 + name: Distinctive Features + score: 2 + max: 5 + passed: false + comment: Uses custom Style for theming but doesn't leverage pygal-specific + features like interactive tooltips verdict: APPROVED +impl_tags: + dependencies: [] + techniques: [] + patterns: + - data-generation + dataprep: [] + styling: []