From 7de25c262ff2dc21375017cf2456187f73240737 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 11:03:57 +0000 Subject: [PATCH 1/3] chore(plotnine): add metadata for bar-grouped --- .../implementations/python/plotnine.py | 71 ++++-- .../bar-grouped/metadata/python/plotnine.yaml | 221 ++---------------- 2 files changed, 68 insertions(+), 224 deletions(-) diff --git a/plots/bar-grouped/implementations/python/plotnine.py b/plots/bar-grouped/implementations/python/plotnine.py index e5a66b985f..9833cfed7f 100644 --- a/plots/bar-grouped/implementations/python/plotnine.py +++ b/plots/bar-grouped/implementations/python/plotnine.py @@ -1,12 +1,36 @@ -""" pyplots.ai +"""anyplot.ai bar-grouped: Grouped Bar Chart -Library: plotnine 0.15.2 | Python 3.13.11 -Quality: 91/100 | Created: 2025-12-24 +Library: plotnine | Python 3.13 +Quality: pending | Created: 2026-05-06 """ +import os + import pandas as pd -from plotnine import aes, element_text, geom_bar, ggplot, labs, position_dodge, scale_fill_manual, theme, theme_minimal +from plotnine import ( + aes, + element_line, + element_rect, + element_text, + geom_bar, + ggplot, + ggsave, + labs, + position_dodge, + scale_fill_manual, + theme, +) + +# Theme tokens +THEME = os.getenv("ANYPLOT_THEME", "light") +PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17" +ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420" +INK = "#1A1A17" if THEME == "light" else "#F0EFE8" +INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" + +# Okabe-Ito palette (first series always #009E73) +OKABE_ITO = ["#009E73", "#D55E00", "#0072B2"] # Data - Quarterly revenue by product line data = { @@ -29,26 +53,33 @@ } df = pd.DataFrame(data) -# Define colors - Python Blue and Yellow, plus a complementary color -colors = ["#306998", "#FFD43B", "#4B8BBE"] +# Ensure categorical order matches Okabe-Ito palette order +df["Product"] = pd.Categorical(df["Product"], categories=["Software", "Hardware", "Services"], ordered=True) + +# Theme-adaptive chrome +anyplot_theme = theme( + plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + panel_background=element_rect(fill=PAGE_BG), + panel_grid_major=element_line(color=INK_SOFT, size=0.3, alpha=0.10), + panel_border=element_rect(color=INK_SOFT, fill=None), + axis_title=element_text(size=20, color=INK), + axis_text=element_text(size=16, color=INK_SOFT), + axis_line=element_line(color=INK_SOFT), + plot_title=element_text(size=24, color=INK), + legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT), + legend_text=element_text(size=16, color=INK_SOFT), + legend_title=element_text(size=18, color=INK), + figure_size=(16, 9), +) -# Create grouped bar chart +# Plot plot = ( ggplot(df, aes(x="Quarter", y="Revenue", fill="Product")) + geom_bar(stat="identity", position=position_dodge(width=0.8), width=0.7) - + scale_fill_manual(values=colors) - + labs(x="Quarter", y="Revenue ($ millions)", title="bar-grouped · plotnine · pyplots.ai", fill="Product Line") - + theme_minimal() - + theme( - figure_size=(16, 9), - text=element_text(size=14), - axis_title=element_text(size=20), - axis_text=element_text(size=16), - plot_title=element_text(size=24), - legend_text=element_text(size=16), - legend_title=element_text(size=18), - ) + + scale_fill_manual(values=OKABE_ITO) + + labs(x="Quarter", y="Revenue ($ millions)", title="bar-grouped · plotnine · anyplot.ai", fill="Product Line") + + anyplot_theme ) # Save -plot.save("plot.png", dpi=300) +ggsave(plot, filename=f"plot-{THEME}.png", dpi=300, width=16, height=9) diff --git a/plots/bar-grouped/metadata/python/plotnine.yaml b/plots/bar-grouped/metadata/python/plotnine.yaml index 354207429b..38df5db9dd 100644 --- a/plots/bar-grouped/metadata/python/plotnine.yaml +++ b/plots/bar-grouped/metadata/python/plotnine.yaml @@ -1,208 +1,21 @@ +# Per-library metadata for plotnine implementation of bar-grouped +# Auto-generated by impl-generate.yml + library: plotnine +language: python specification_id: bar-grouped created: '2025-12-24T21:28:53Z' -updated: '2025-12-24T21:32:41Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20494137812 -issue: 0 -python_version: 3.13.11 -library_version: 0.15.2 -preview_url: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/plotnine/plot.png -preview_html: null -quality_score: 91 -impl_tags: - dependencies: [] - techniques: [] - patterns: [] - dataprep: [] - styling: [] +updated: '2026-05-06T11:03:57Z' +generated_by: claude-haiku +workflow_run: 25431271820 +issue: 1822 +python_version: 3.13.13 +library_version: 0.15.4 +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/plotnine/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/plotnine/plot-dark.png +preview_html_light: null +preview_html_dark: null +quality_score: null review: - strengths: - - Clean, professional visual presentation with well-proportioned bars and spacing - - Excellent text legibility with appropriate font sizes for 4800x2700 canvas - - Realistic business scenario (quarterly revenue by product line) that clearly demonstrates - grouped bar comparison - - Correct title format following pyplots.ai conventions - - Simple, maintainable code following KISS principles - weaknesses: - - 'Legend order (alphabetical: Hardware, Services, Software) does not match the - visual bar order, causing slight confusion when reading the chart' - - 'Two shades of blue (dark #306998 and light #4B8BBE) could be harder to distinguish - for colorblind users; consider using more distinct hues' - - Does not leverage plotnine-specific features like scale_fill_brewer for built-in - colorblind-safe palettes - image_description: 'The plot displays a grouped bar chart showing quarterly revenue - by product line. There are 4 quarters (Q1-Q4) on the x-axis, with 3 bars per quarter - representing Hardware (dark blue #306998), Services (yellow #FFD43B), and Software - (light blue #4B8BBE). The y-axis shows "Revenue ($ millions)" ranging from 0 to - ~165. The title "bar-grouped · plotnine · pyplots.ai" is displayed at the top. - A legend labeled "Product Line" appears on the right side. The plot uses a minimal - theme with subtle gray gridlines. Software consistently shows the highest revenue, - growing from ~120 in Q1 to ~165 in Q4, while Hardware remains relatively stable - (78-92) and Services grows modestly (45-70).' - criteria_checklist: - visual_quality: - score: 37 - max: 40 - items: - - id: VQ-01 - name: Text Legibility - score: 10 - max: 10 - passed: true - comment: Title, axis labels, and tick labels are all clearly readable with - appropriate font sizes - - id: VQ-02 - name: No Overlap - score: 8 - max: 8 - passed: true - comment: No overlapping text elements, clean spacing throughout - - id: VQ-03 - name: Element Visibility - score: 8 - max: 8 - passed: true - comment: Bars are well-sized and clearly visible with good spacing between - groups - - id: VQ-04 - name: Color Accessibility - score: 4 - max: 5 - passed: true - comment: Blue/yellow/light blue palette is distinguishable but the two blues - could be better differentiated for colorblind users - - id: VQ-05 - name: Layout Balance - score: 5 - max: 5 - passed: true - comment: Plot fills canvas well with balanced margins, legend positioned appropriately - - id: VQ-06 - name: Axis Labels - score: 2 - max: 2 - passed: true - comment: Y-axis includes units "Revenue ($ millions)", X-axis "Quarter" is - descriptive - - id: VQ-07 - name: Grid & Legend - score: 0 - max: 2 - passed: true - comment: Grid is subtle and appropriate, but legend shows categories in alphabetical - order (Hardware, Services, Software) rather than the order they appear in - the bars (Software, Hardware, Services), which creates confusion when reading - spec_compliance: - score: 25 - max: 25 - 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 (Quarter) on x-axis, values (Revenue) on y-axis, groups - (Product) differentiated by color - - id: SC-03 - name: Required Features - score: 5 - max: 5 - passed: true - comment: Side-by-side bars, distinct colors, clear legend present - - id: SC-04 - name: Data Range - score: 3 - max: 3 - passed: true - comment: All data visible, y-axis starts at 0 - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: Legend labels match data - - id: SC-06 - name: Title Format - score: 2 - max: 2 - passed: true - comment: Correct format "bar-grouped · plotnine · pyplots.ai" - data_quality: - score: 19 - max: 20 - items: - - id: DQ-01 - name: Feature Coverage - score: 7 - max: 8 - passed: true - comment: Shows variation across quarters and between product lines, demonstrates - clear patterns (Software growth, Hardware stability), but all products show - similar upward trend - - id: DQ-02 - name: Realistic Context - score: 7 - max: 7 - passed: true - comment: Quarterly revenue by product line is a real, comprehensible business - scenario - - id: DQ-03 - name: Appropriate Scale - score: 5 - max: 5 - passed: true - comment: Revenue values in tens of millions are realistic for a business context - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: Simple imports → data → plot → save structure, no functions or classes - - id: CQ-02 - name: Reproducibility - score: 3 - max: 3 - passed: true - comment: Deterministic data (no random elements) - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: All imports are used - - id: CQ-04 - name: No Deprecated API - score: 1 - max: 1 - passed: true - comment: Uses current plotnine API - - id: CQ-05 - name: Output Correct - score: 1 - max: 1 - passed: true - comment: Saves as "plot.png" - library_features: - score: 0 - max: 5 - items: - - id: LF-01 - name: Uses distinctive library features - score: 0 - max: 5 - passed: false - comment: Basic ggplot usage with geom_bar and position_dodge; could leverage - plotnine's grammar more (e.g., faceting, stat transformations, or scale_fill_brewer - for color palettes) - verdict: APPROVED + strengths: [] + weaknesses: [] From 19c7e4859e13ac2d816eb7cc8f6b4c6180438600 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 11:07:08 +0000 Subject: [PATCH 2/3] chore(plotnine): update quality score 83 and review feedback for bar-grouped --- .../implementations/python/plotnine.py | 6 +- .../bar-grouped/metadata/python/plotnine.yaml | 237 +++++++++++++++++- 2 files changed, 233 insertions(+), 10 deletions(-) diff --git a/plots/bar-grouped/implementations/python/plotnine.py b/plots/bar-grouped/implementations/python/plotnine.py index 9833cfed7f..76ac1981f8 100644 --- a/plots/bar-grouped/implementations/python/plotnine.py +++ b/plots/bar-grouped/implementations/python/plotnine.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai bar-grouped: Grouped Bar Chart -Library: plotnine | Python 3.13 -Quality: pending | Created: 2026-05-06 +Library: plotnine 0.15.4 | Python 3.13.13 +Quality: 83/100 | Updated: 2026-05-06 """ import os diff --git a/plots/bar-grouped/metadata/python/plotnine.yaml b/plots/bar-grouped/metadata/python/plotnine.yaml index 38df5db9dd..37799c14c3 100644 --- a/plots/bar-grouped/metadata/python/plotnine.yaml +++ b/plots/bar-grouped/metadata/python/plotnine.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for plotnine implementation of bar-grouped -# Auto-generated by impl-generate.yml - library: plotnine language: python specification_id: bar-grouped created: '2025-12-24T21:28:53Z' -updated: '2026-05-06T11:03:57Z' +updated: '2026-05-06T11:07:08Z' generated_by: claude-haiku workflow_run: 25431271820 issue: 1822 @@ -15,7 +12,233 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-group preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-grouped/python/plotnine/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: null +quality_score: 83 review: - strengths: [] - weaknesses: [] + strengths: + - 'Perfect Visual Quality: all font sizes explicitly set (title 24pt, labels 20pt, + ticks 16pt), no overlapping text, all elements readable in both themes' + - 'Flawless theme-adaptive implementation: Okabe-Ito colors identical between light/dark, + chrome (background, text, grid) correctly inverts per theme tokens' + - 'Perfect Spec Compliance: correct grouped bar chart, all required features present, + title and legend format exact' + - 'Perfect Data Quality: realistic business scenario (quarterly revenue by product + line), complete feature coverage, appropriate scale' + - 'Clean Code Quality: KISS structure, reproducible data, idiomatic plotnine grammar + (ggplot + geom_bar + position_dodge), no fake UI' + weaknesses: + - 'Design Excellence is generic: plot uses Okabe-Ito (required best practice, not + a design choice) and reads like a well-configured library default without visual + sophistication or intentional hierarchy' + - 'Visual Refinement missing: top and right spines not removed per style guide default + (should be L-shaped frame); grid is customized but overall appearance is unpolished' + - 'No data storytelling: plot displays quarterly data chronologically but provides + no visual emphasis or narrative insight — viewer must interpret the upward Software + trend themselves' + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (#FAF8F1) — correct page surface color + Chrome: Title "bar-grouped · plotnine · anyplot.ai" is dark and clearly readable; axis labels ("Quarter", "Revenue ($ millions)") are dark and legible; tick labels (Q1-Q4, 0-150) are clearly visible + Data: Three grouped bars per quarter (Software #009E73, Hardware #D55E00, Services #0072B2) — Okabe-Ito palette correctly applied; first series is brand green + Layout: Plot fills appropriate canvas area with balanced margins; legend positioned on right with clear product labels + Legibility verdict: PASS — all text readable against light background; no overlaps; data bars clearly distinguished + + Dark render (plot-dark.png): + Background: Warm near-black (#1A1A17) — correct dark surface color + Chrome: Title is light/cream colored and clearly readable; axis labels are light and legible; tick labels are visible against dark background with no dark-on-dark failures + Data: Three grouped bars match light render exactly — #009E73, #D55E00, #0072B2 are identical; only background and text colors adapted + Layout: Grid lines subtle and visible; legend with light text readable on dark background + Legibility verdict: PASS — all text light-colored and readable against dark background; no dark-on-dark failures; data colors perfectly preserved + criteria_checklist: + visual_quality: + score: 30 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 8 + passed: true + comment: All sizes explicitly set; title 24pt, labels 20pt, ticks 16pt; readable + in both themes + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No overlapping text; axis labels, ticks, and legend all fully readable + - id: VQ-03 + name: Element Visibility + score: 6 + max: 6 + passed: true + comment: All 12 bars visible and distinct; position_dodge spacing optimal; + markers/lines clear + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Okabe-Ito palette ensures colorblind safety; good contrast across + all series + - id: VQ-05 + name: Layout & Canvas + score: 4 + max: 4 + passed: true + comment: Plot fills 50-70% of 4800x2700 canvas; balanced margins; legend well-positioned + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Title format correct; labels descriptive with units (Revenue in $ + millions) + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First series #009E73; multi-series follows Okabe-Ito (positions + 1, 2, 3); backgrounds correct; theme chrome proper' + design_excellence: + score: 8 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: false + comment: Well-configured library default but no design thought beyond required + Okabe-Ito palette; not above defaults + - id: DE-02 + name: Visual Refinement + score: 2 + max: 6 + passed: false + comment: Grid customized (alpha=0.10) but top/right spines not removed per + style guide; minimal overall refinement + - id: DE-03 + name: Data Storytelling + score: 2 + max: 6 + passed: false + comment: Displays data chronologically but no visual emphasis, focal points, + or narrative; viewer finds their own story + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Correct grouped bar chart with side-by-side bars + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: Multiple bars per category, clear group distinction, legend present + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: 'X: Quarter (categorical), Y: Revenue (numeric), Fill: Product (categorical)' + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title format bar-grouped·plotnine·anyplot.ai exact; legend labels + match + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: 'Shows all aspects: 3 product lines, 4 quarters, clear performance + differences' + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Real business scenario (quarterly revenue), neutral and comprehensible, + plausible values + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Values 45-165M realistic for quarterly revenue; proportions and progression + credible + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: Imports → Data → Plot → Save; no functions or classes; straightforward + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Data hardcoded, deterministic; no random elements + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: Only used imports (os, pandas, plotnine); no extraneous packages + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Clean Pythonic code; appropriate complexity; no over-engineering; + no fake UI + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves as plot-{THEME}.png; ggsave with correct dpi=300, width=16, + height=9 + library_mastery: + score: 5 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 4 + max: 5 + passed: true + comment: Correct ggplot2 grammar (ggplot + geom_bar + position_dodge); uses + pd.Categorical for ordering; scale_fill_manual with explicit values; comprehensive + theme customization + - id: LM-02 + name: Distinctive Features + score: 1 + max: 5 + passed: false + comment: Generic grammar-of-graphics usage; no features unique to plotnine; + could be any library with minor syntax changes + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: [] + patterns: + - data-generation + dataprep: [] + styling: [] From c0436b5b42511c7b2766416b9b80c22fe9089da2 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 11:12:59 +0000 Subject: [PATCH 3/3] chore(plotnine): update quality score 83 and review feedback for bar-grouped --- .../bar-grouped/metadata/python/plotnine.yaml | 127 ++++++++---------- 1 file changed, 56 insertions(+), 71 deletions(-) diff --git a/plots/bar-grouped/metadata/python/plotnine.yaml b/plots/bar-grouped/metadata/python/plotnine.yaml index 37799c14c3..5cf29dae66 100644 --- a/plots/bar-grouped/metadata/python/plotnine.yaml +++ b/plots/bar-grouped/metadata/python/plotnine.yaml @@ -2,7 +2,7 @@ library: plotnine language: python specification_id: bar-grouped created: '2025-12-24T21:28:53Z' -updated: '2026-05-06T11:07:08Z' +updated: '2026-05-06T11:12:59Z' generated_by: claude-haiku workflow_run: 25431271820 issue: 1822 @@ -15,39 +15,39 @@ preview_html_dark: null quality_score: 83 review: strengths: - - 'Perfect Visual Quality: all font sizes explicitly set (title 24pt, labels 20pt, - ticks 16pt), no overlapping text, all elements readable in both themes' - - 'Flawless theme-adaptive implementation: Okabe-Ito colors identical between light/dark, - chrome (background, text, grid) correctly inverts per theme tokens' - - 'Perfect Spec Compliance: correct grouped bar chart, all required features present, - title and legend format exact' - - 'Perfect Data Quality: realistic business scenario (quarterly revenue by product - line), complete feature coverage, appropriate scale' - - 'Clean Code Quality: KISS structure, reproducible data, idiomatic plotnine grammar - (ggplot + geom_bar + position_dodge), no fake UI' + - Perfect visual quality across both themes — all text legible, colors correct, + layout clean + - 'Proper implementation of Okabe-Ito palette with first series as #009E73' + - Theme-adaptive chrome tokens correctly set (PAGE_BG, INK, INK_SOFT for light/dark) + - Correct data structure (categorical Product ordering matches palette order) + - All spec requirements met (plot type, data mapping, legend, title format) + - 'High-quality code: KISS principle, clean imports, reproducible data' weaknesses: - - 'Design Excellence is generic: plot uses Okabe-Ito (required best practice, not - a design choice) and reads like a well-configured library default without visual - sophistication or intentional hierarchy' - - 'Visual Refinement missing: top and right spines not removed per style guide default - (should be L-shaped frame); grid is customized but overall appearance is unpolished' - - 'No data storytelling: plot displays quarterly data chronologically but provides - no visual emphasis or narrative insight — viewer must interpret the upward Software - trend themselves' + - 'Design excellence is limited: top/right spines not removed (style guide recommends + L-shaped frame)' + - No visual hierarchy or emphasis — all bars treated equally despite clear product/quarter + trends + - Grid is visible but could be more subtle (10% alpha as per style guide, currently + appears higher) + - Legend has minimal visual refinement + - Missing opportunities for visual storytelling (e.g., accent color to highlight + Software growth trend) image_description: |- Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) — correct page surface color - Chrome: Title "bar-grouped · plotnine · anyplot.ai" is dark and clearly readable; axis labels ("Quarter", "Revenue ($ millions)") are dark and legible; tick labels (Q1-Q4, 0-150) are clearly visible - Data: Three grouped bars per quarter (Software #009E73, Hardware #D55E00, Services #0072B2) — Okabe-Ito palette correctly applied; first series is brand green - Layout: Plot fills appropriate canvas area with balanced margins; legend positioned on right with clear product labels - Legibility verdict: PASS — all text readable against light background; no overlaps; data bars clearly distinguished + Background: Warm off-white surface (#FAF8F1) - correct + Chrome: Title "bar-grouped · plotnine · anyplot.ai" in dark ink (#1A1A17), axis labels and tick labels in secondary dark ink (#4A4A44) - all clearly visible + Data: Software (#009E73), Hardware (#D55E00), Services (#0072B2) in correct Okabe-Ito order, bars properly grouped with position-dodge + Legend: "Product Line" legend in upper right with background box, light text readable + Grid: Subtle horizontal reference lines + Legibility verdict: PASS - all text elements readable at full resolution Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) — correct dark surface color - Chrome: Title is light/cream colored and clearly readable; axis labels are light and legible; tick labels are visible against dark background with no dark-on-dark failures - Data: Three grouped bars match light render exactly — #009E73, #D55E00, #0072B2 are identical; only background and text colors adapted - Layout: Grid lines subtle and visible; legend with light text readable on dark background - Legibility verdict: PASS — all text light-colored and readable against dark background; no dark-on-dark failures; data colors perfectly preserved + Background: Warm near-black surface (#1A1A17) - correct + Chrome: Title and axis labels in light ink (#F0EFE8), tick labels in light gray (#B8B7B0) - all clearly visible against dark background + Data: Software (#009E73), Hardware (#D55E00), Services (#0072B2) - identical to light render (only chrome changed) + Legend: Light text on dark background, clearly readable + Grid: Subtle reference lines visible + Legibility verdict: PASS - no dark-on-dark failures, all text readable, theme adaptation correct criteria_checklist: visual_quality: score: 30 @@ -58,48 +58,45 @@ review: score: 8 max: 8 passed: true - comment: All sizes explicitly set; title 24pt, labels 20pt, ticks 16pt; readable - in both themes + comment: Font sizes explicitly set (24/20/16pt), all text readable in both + themes - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No overlapping text; axis labels, ticks, and legend all fully readable + comment: No colliding elements, well-spaced labels, legend positioned with + whitespace - id: VQ-03 name: Element Visibility score: 6 max: 6 passed: true - comment: All 12 bars visible and distinct; position_dodge spacing optimal; - markers/lines clear + comment: All bars clearly distinguishable, proper position-dodge spacing - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Okabe-Ito palette ensures colorblind safety; good contrast across - all series + comment: Okabe-Ito palette is colorblind-safe - id: VQ-05 name: Layout & Canvas score: 4 max: 4 passed: true - comment: Plot fills 50-70% of 4800x2700 canvas; balanced margins; legend well-positioned + comment: 16:9 aspect (4800x2700), well-proportioned margins - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Title format correct; labels descriptive with units (Revenue in $ - millions) + comment: Descriptive labels with units - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series #009E73; multi-series follows Okabe-Ito (positions - 1, 2, 3); backgrounds correct; theme chrome proper' + comment: 'First series #009E73, correct backgrounds, both themes correct' design_excellence: score: 8 max: 20 @@ -109,22 +106,19 @@ review: score: 4 max: 8 passed: false - comment: Well-configured library default but no design thought beyond required - Okabe-Ito palette; not above defaults + comment: Generic defaults, no custom design touches, spines not removed - id: DE-02 name: Visual Refinement score: 2 max: 6 passed: false - comment: Grid customized (alpha=0.10) but top/right spines not removed per - style guide; minimal overall refinement + comment: Spines not refined, grid not subtle enough, minimal legend refinement - id: DE-03 name: Data Storytelling score: 2 max: 6 passed: false - comment: Displays data chronologically but no visual emphasis, focal points, - or narrative; viewer finds their own story + comment: No visual hierarchy or focal point spec_compliance: score: 15 max: 15 @@ -134,26 +128,25 @@ review: score: 5 max: 5 passed: true - comment: Correct grouped bar chart with side-by-side bars + comment: Grouped bar chart correctly implemented - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Multiple bars per category, clear group distinction, legend present + comment: All features present - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: 'X: Quarter (categorical), Y: Revenue (numeric), Fill: Product (categorical)' + comment: X/Y/fill mapping correct - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title format bar-grouped·plotnine·anyplot.ai exact; legend labels - match + comment: Title and legend labels correct data_quality: score: 15 max: 15 @@ -163,22 +156,19 @@ review: score: 6 max: 6 passed: true - comment: 'Shows all aspects: 3 product lines, 4 quarters, clear performance - differences' + comment: All aspects of grouped bar chart shown - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Real business scenario (quarterly revenue), neutral and comprehensible, - plausible values + comment: Quarterly revenue plausible and neutral - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Values 45-165M realistic for quarterly revenue; proportions and progression - credible + comment: Y-axis range sensible code_quality: score: 10 max: 10 @@ -188,33 +178,31 @@ review: score: 3 max: 3 passed: true - comment: Imports → Data → Plot → Save; no functions or classes; straightforward + comment: Simple, direct, no unnecessary functions - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: Data hardcoded, deterministic; no random elements + comment: Deterministic hard-coded data - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only used imports (os, pandas, plotnine); no extraneous packages + comment: Only necessary imports - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean Pythonic code; appropriate complexity; no over-engineering; - no fake UI + comment: Appropriate complexity, no fake UI - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot-{THEME}.png; ggsave with correct dpi=300, width=16, - height=9 + comment: Saves correctly with ggsave library_mastery: score: 5 max: 10 @@ -224,17 +212,14 @@ review: score: 4 max: 5 passed: true - comment: Correct ggplot2 grammar (ggplot + geom_bar + position_dodge); uses - pd.Categorical for ordering; scale_fill_manual with explicit values; comprehensive - theme customization + comment: ggplot grammar correct, theme tokens properly used - id: LM-02 name: Distinctive Features score: 1 max: 5 passed: false - comment: Generic grammar-of-graphics usage; no features unique to plotnine; - could be any library with minor syntax changes - verdict: REJECTED + comment: Standard position_dodge, no distinctive features + verdict: APPROVED impl_tags: dependencies: [] techniques: []