From 67119d1ba74919db263ea9e5e34b4fef81b7cf5c Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 19 May 2026 02:01:30 +0000 Subject: [PATCH 1/5] chore(letsplot): add metadata for bar-race-animated --- .../metadata/python/letsplot.yaml | 224 ++---------------- 1 file changed, 16 insertions(+), 208 deletions(-) diff --git a/plots/bar-race-animated/metadata/python/letsplot.yaml b/plots/bar-race-animated/metadata/python/letsplot.yaml index 2d0b130aaf..6e509ff646 100644 --- a/plots/bar-race-animated/metadata/python/letsplot.yaml +++ b/plots/bar-race-animated/metadata/python/letsplot.yaml @@ -1,213 +1,21 @@ +# Per-library metadata for letsplot implementation of bar-race-animated +# Auto-generated by impl-generate.yml + library: letsplot +language: python specification_id: bar-race-animated created: '2026-01-11T00:21:50Z' -updated: '2026-01-11T00:29:22Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20886564666 +updated: '2026-05-19T02:01:30Z' +generated_by: claude-sonnet +workflow_run: 26071447018 issue: 3653 -python_version: 3.13.11 -library_version: 4.8.2 -preview_url: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/letsplot/plot.png -preview_html: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/letsplot/plot.html -quality_score: 91 +language_version: 3.13.13 +library_version: 4.9.0 +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.png +preview_html_light: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-light.html +preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.html +quality_score: null review: - strengths: - - Excellent interpretation of spec for a static library - small multiples effectively - show the race over time - - Clean, professional visual design with consistent entity colors across all panels - - Realistic streaming platform data that tells a compelling story (CineCloud rise, - FlixNet stagnation) - - Good use of lets-plot gggrid for the 2x2 layout - - Proper sorting within each panel shows ranking changes clearly - weaknesses: - - X-axis scale differs across panels (0-140, 0-140, 0-300, 0-700) which can make - visual comparison harder - - Could benefit from value labels on bars to show exact subscriber counts - image_description: 'The plot displays a 2x2 small multiples grid showing streaming - platform subscriber counts across 4 time snapshots (2016, 2018, 2021, 2023). Each - panel contains horizontal bar charts with 6 platforms (FlixNet, ViewHub, StreamMax, - MediaFlow, WatchNow, CineCloud) sorted by subscriber count within each year. Colors - are consistent across all panels: FlixNet (red), ViewHub (yellow/gold), StreamMax - (blue), MediaFlow (orange), WatchNow (green), CineCloud (purple). The overall - title "bar-race-animated · letsplot · pyplots.ai" appears at the top center. Rankings - clearly shift over time - FlixNet leads in 2016-2018, but CineCloud surges to - first place by 2023. X-axis shows "Subscribers (millions)" with scales adjusting - per panel. The layout is clean with minimal grid styling and no legend (colors - are self-explanatory via consistent entity coloring).' - criteria_checklist: - visual_quality: - score: 36 - max: 40 - items: - - id: VQ-01 - name: Text Legibility - score: 9 - max: 10 - passed: true - comment: Title is large and bold, year labels prominent, axis text readable. - Slightly smaller than ideal for axis labels. - - id: VQ-02 - name: No Overlap - score: 8 - max: 8 - passed: true - comment: No overlapping text elements, clean separation between bars and labels - - id: VQ-03 - name: Element Visibility - score: 7 - max: 8 - passed: true - comment: Bars are well-sized with good alpha (0.9), spacing is appropriate - - id: VQ-04 - name: Color Accessibility - score: 4 - max: 5 - passed: true - comment: 6 distinct colors, reasonably colorblind-friendly but green/yellow - could be closer for some viewers - - id: VQ-05 - name: Layout Balance - score: 5 - max: 5 - passed: true - comment: Excellent 2x2 grid layout, good use of canvas space, balanced margins - - id: VQ-06 - name: Axis Labels - score: 1 - max: 2 - passed: true - comment: Y-axis is blank (appropriate), X-axis has Subscribers (millions) - - has units but only on x-axis - - id: VQ-07 - name: Grid & Legend - score: 2 - max: 2 - passed: true - comment: Subtle grid, legend hidden (appropriate since colors are consistent - per entity) - spec_compliance: - score: 23 - max: 25 - items: - - id: SC-01 - name: Plot Type - score: 8 - max: 8 - passed: true - comment: 'Correct: horizontal bar chart race shown as small multiples (spec - allows this for libraries without animation)' - - id: SC-02 - name: Data Mapping - score: 5 - max: 5 - passed: true - comment: Entity on Y-axis, value on X-axis, time drives the panels - - id: SC-03 - name: Required Features - score: 4 - max: 5 - passed: true - comment: 'Bars sorted by value, consistent colors, time indicator visible. - Missing: no animation controls (acceptable for static alternative)' - - id: SC-04 - name: Data Range - score: 3 - max: 3 - passed: true - comment: All data visible, axes scale appropriately per panel - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: No legend needed; consistent color coding works well - - id: SC-06 - name: Title Format - score: 1 - max: 2 - passed: true - comment: Uses correct format but title positioning could be more prominent - data_quality: - score: 19 - max: 20 - items: - - id: DQ-01 - name: Feature Coverage - score: 8 - max: 8 - passed: true - comment: Shows ranking changes over time, growth patterns, overtakes (CineCloud - rise, FlixNet decline) - - id: DQ-02 - name: Realistic Context - score: 7 - max: 7 - passed: true - comment: Streaming platform subscribers is a highly relevant, neutral, real-world - scenario - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 5 - passed: true - comment: Values in millions are realistic; some growth rates are aggressive - but plausible for tech industry - code_quality: - score: 9 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: 'Clean linear flow: imports, data, plot, save' - - id: CQ-02 - name: Reproducibility - score: 3 - max: 3 - passed: true - comment: np.random.seed(42) is set - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: Only numpy, pandas, lets_plot used - all necessary - - id: CQ-04 - name: No Deprecated API - score: 1 - max: 1 - passed: true - comment: Uses current lets-plot API - - id: CQ-05 - name: Output Correct - score: 0 - max: 1 - passed: false - comment: Saves as plot.png but also saves plot.html (fine, but primary output - is correct) - library_features: - score: 4 - max: 5 - items: - - id: LF-01 - name: Distinctive Features - score: 4 - max: 5 - passed: true - comment: Uses gggrid for faceting, ggsize for sizing, scale_fill_manual, theme - customization, coord_flip - good lets-plot idioms - verdict: APPROVED -impl_tags: - dependencies: [] - techniques: - - subplots - - faceting - patterns: - - data-generation - - iteration-over-groups - dataprep: [] - styling: - - alpha-blending - - grid-styling + strengths: [] + weaknesses: [] From 225938b5b55e46bc3567e1430337ae5c042e2a4f Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 19 May 2026 02:09:52 +0000 Subject: [PATCH 2/5] chore(letsplot): update quality score 75 and review feedback for bar-race-animated --- .../implementations/python/letsplot.py | 6 +- .../metadata/python/letsplot.yaml | 244 +++++++++++++++++- 2 files changed, 240 insertions(+), 10 deletions(-) diff --git a/plots/bar-race-animated/implementations/python/letsplot.py b/plots/bar-race-animated/implementations/python/letsplot.py index 2bd721abeb..574fe74aff 100644 --- a/plots/bar-race-animated/implementations/python/letsplot.py +++ b/plots/bar-race-animated/implementations/python/letsplot.py @@ -1,7 +1,7 @@ -""" pyplots.ai +""" anyplot.ai bar-race-animated: Animated Bar Chart Race -Library: letsplot 4.8.2 | Python 3.13.11 -Quality: 91/100 | Created: 2026-01-11 +Library: letsplot 4.9.0 | Python 3.13.13 +Quality: 75/100 | Updated: 2026-05-19 """ import numpy as np diff --git a/plots/bar-race-animated/metadata/python/letsplot.yaml b/plots/bar-race-animated/metadata/python/letsplot.yaml index 6e509ff646..5bfbc0c750 100644 --- a/plots/bar-race-animated/metadata/python/letsplot.yaml +++ b/plots/bar-race-animated/metadata/python/letsplot.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for letsplot implementation of bar-race-animated -# Auto-generated by impl-generate.yml - library: letsplot language: python specification_id: bar-race-animated created: '2026-01-11T00:21:50Z' -updated: '2026-05-19T02:01:30Z' +updated: '2026-05-19T02:09:51Z' generated_by: claude-sonnet workflow_run: 26071447018 issue: 3653 @@ -15,7 +12,240 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-race- preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.html -quality_score: null +quality_score: 75 review: - strengths: [] - weaknesses: [] + strengths: + - Small multiples approach correctly chosen per spec for non-animated output; 2x2 + grid effectively shows rank changes over time + - 'Strong data storytelling: CineCloud''s rise from last to first and FlixNet''s + decline from first to last is immediately apparent across 4 panels' + - gggrid() used correctly and idiomatically for lets-plot to combine independent + plots into a grid + - 'Clean KISS code structure: seeded RNG, flat script, no fake functionality, pd.Categorical + for bar ordering' + weaknesses: + - 'Non-Okabe-Ito palette: #306998 (Python blue), #FFD43B, #DC2626 etc. violate the + mandatory palette rule; must use [''#009E73'', ''#D55E00'', ''#0072B2'', ''#CC79A7'', + ''#E69F00'', ''#56B4E9'']' + - 'No ANYPLOT_THEME handling: code ignores ANYPLOT_THEME env var; both renders will + be identical (light-only); must add os.getenv() and set PAGE_BG/INK/INK_SOFT tokens + for plot_background, panel_background, axis_text, axis_title, plot_title' + - 'Wrong output filenames: saves as ''plot.png'' and ''plot.html'' instead of f''plot-{THEME}.png'' + and f''plot-{THEME}.html''' + - 'Wrong title in code: ''bar-race-animated · letsplot · pyplots.ai'' must be ''bar-race-animated + · python · letsplot · anyplot.ai''' + - 'Missing value labels: geom_text with subscriber values beside bars makes the + chart much more readable' + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (~#FAF8F1), not pure white — PASS + Chrome: Title "bar-race-animated · python · letsplot · anyplot.ai" in dark text, clearly readable. Year panel labels (2016, 2018, 2021, 2023) bold and prominent. Platform labels, x-axis tick labels, and "Subscribers (millions)" axis title all readable in dark ink. + Data: 6 platforms colored distinctively — FlixNet blue (#306998, non-Okabe-Ito), ViewHub orange, StreamMax teal (~#059669), MediaFlow light blue, WatchNow pink, CineCloud gold. Value labels (124M, 94M, etc.) shown beside each bar. Bars clearly sized and sorted by value. + Legibility verdict: PASS + + Dark render (plot-dark.png): + Background: Near-black dark background — PASS (appears to originate from a previous code version with ANYPLOT_THEME handling; current code lacks this) + Chrome: Title and all labels use white/light text, clearly readable against dark surface. Year labels, platform names, tick labels all visible. No dark-on-dark failures observed. + Data: Bar colors are identical to the light render — correct per spec. Value labels visible in white. + Legibility verdict: PASS + + NOTE: Significant discrepancy between current code and rendered images. Code saves as 'plot.png' (not plot-{THEME}.png), has title 'bar-race-animated · letsplot · pyplots.ai' (not correct format), lacks ANYPLOT_THEME handling, and lacks geom_text for value labels. Images appear to originate from an earlier, more complete version of the code. + criteria_checklist: + visual_quality: + score: 22 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 6 + max: 8 + passed: true + comment: Sizes explicitly set (28pt year labels, 18pt axis title, 16-18pt + ticks); readable in both renders + - id: VQ-02 + name: No Overlap + score: 5 + max: 6 + passed: true + comment: No overlapping text or bars; well-spaced 2x2 layout + - id: VQ-03 + name: Element Visibility + score: 5 + max: 6 + passed: true + comment: Bars clearly sized and distinguishable; good color contrast + - id: VQ-04 + name: Color Accessibility + score: 1 + max: 2 + passed: true + comment: Custom colors are distinguishable but not Okabe-Ito; adequate contrast + - id: VQ-05 + name: Layout & Canvas + score: 3 + max: 4 + passed: true + comment: 2x2 grid uses canvas well; slight wasted space in panels where x-axis + extends past longest bar + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Subscribers (millions) with unit; clear year panel titles + - id: VQ-07 + name: Palette Compliance + score: 0 + max: 2 + passed: false + comment: 'FAIL: #306998 (Python blue) explicitly non-compliant; custom palette + not Okabe-Ito; code lacks ANYPLOT_THEME handling' + design_excellence: + score: 12 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: true + comment: Clean small-multiples approach; palette is wrong but layout shows + intent; standard configured-defaults level + - id: DE-02 + name: Visual Refinement + score: 4 + max: 6 + passed: true + comment: Y-grid and minor grid removed; legend hidden; theme_minimal base; + no explicit spine removal or ANYPLOT_THEME adaptive panel background + - id: DE-03 + name: Data Storytelling + score: 4 + max: 6 + passed: true + comment: Sorted bars across 4 time snapshots clearly tell the story of CineCloud's + rise and FlixNet's fall + spec_compliance: + score: 12 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 4 + max: 5 + passed: true + comment: Small multiples of ranked horizontal bars is the spec-prescribed + fallback for non-animated static output + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: Bars sorted per snapshot; entity labels on y-axis; year titles as + time indicators; consistent color per entity + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: X=subscriber value, Y=platform, coord_flip applied; all 6 entities + shown + - id: SC-04 + name: Title & Legend + score: 1 + max: 3 + passed: false + comment: Code title is 'bar-race-animated · letsplot · pyplots.ai' — missing + 'python' language token and wrong domain 'pyplots.ai' + data_quality: + score: 14 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 5 + max: 6 + passed: true + comment: 6 entities over 4 time points; rank reversals clearly visible; slightly + missing entity that holds steady to contrast + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: 'Streaming platform subscriber counts: plausible, neutral, business + domain' + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Starting values 28-120M, final values 179-696M over 8 years; growth + rates credible + code_quality: + score: 9 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Flat script: imports, data, plot loop, gggrid, save; no functions + or classes' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: np.random.seed(42) + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: Only numpy, pandas, lets_plot — all used + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Loop over snapshot years is clean; pd.Categorical for ordering is + idiomatic; no fake UI + - id: CQ-05 + name: Output & API + score: 0 + max: 1 + passed: false + comment: Saves as 'plot.png' and 'plot.html' — must be f'plot-{THEME}.png' + and f'plot-{THEME}.html' + library_mastery: + score: 6 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 3 + max: 5 + passed: true + comment: Correct ggplot grammar; gggrid for multi-panel; but missing canonical + ANYPLOT_THEME pattern required for all lets-plot implementations + - id: LM-02 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: gggrid() is distinctive to lets-plot; HTML export leverages interactive + output capability + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: + - subplots + - html-export + patterns: + - data-generation + - iteration-over-groups + dataprep: [] + styling: + - minimal-chrome From 300219dbd1cdb5612652f433b0adbe54d63bc4fd Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 19 May 2026 02:25:29 +0000 Subject: [PATCH 3/5] chore(letsplot): update quality score 78 and review feedback for bar-race-animated --- .../implementations/python/letsplot.py | 2 +- .../metadata/python/letsplot.yaml | 168 ++++++++---------- 2 files changed, 80 insertions(+), 90 deletions(-) diff --git a/plots/bar-race-animated/implementations/python/letsplot.py b/plots/bar-race-animated/implementations/python/letsplot.py index 574fe74aff..a4a15d1eed 100644 --- a/plots/bar-race-animated/implementations/python/letsplot.py +++ b/plots/bar-race-animated/implementations/python/letsplot.py @@ -1,7 +1,7 @@ """ anyplot.ai bar-race-animated: Animated Bar Chart Race Library: letsplot 4.9.0 | Python 3.13.13 -Quality: 75/100 | Updated: 2026-05-19 +Quality: 78/100 | Updated: 2026-05-19 """ import numpy as np diff --git a/plots/bar-race-animated/metadata/python/letsplot.yaml b/plots/bar-race-animated/metadata/python/letsplot.yaml index 5bfbc0c750..31a0da57e5 100644 --- a/plots/bar-race-animated/metadata/python/letsplot.yaml +++ b/plots/bar-race-animated/metadata/python/letsplot.yaml @@ -2,7 +2,7 @@ library: letsplot language: python specification_id: bar-race-animated created: '2026-01-11T00:21:50Z' -updated: '2026-05-19T02:09:51Z' +updated: '2026-05-19T02:25:29Z' generated_by: claude-sonnet workflow_run: 26071447018 issue: 3653 @@ -12,94 +12,89 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-race- preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.html -quality_score: 75 +quality_score: 78 review: strengths: - - Small multiples approach correctly chosen per spec for non-animated output; 2x2 - grid effectively shows rank changes over time - - 'Strong data storytelling: CineCloud''s rise from last to first and FlixNet''s - decline from first to last is immediately apparent across 4 panels' - - gggrid() used correctly and idiomatically for lets-plot to combine independent - plots into a grid - - 'Clean KISS code structure: seeded RNG, flat script, no fake functionality, pd.Categorical - for bar ordering' + - Small multiples grid with sorted bars at each snapshot cleanly satisfies the animated + spec for a static library + - Consistent entity colors across all panels enable visual tracking of platform + trajectories + - Good use of letsplot gggrid() for panel composition — idiomatic and distinctive + - Value labels at bar ends add quantitative readability + - Grid lines removed, legend omitted — clean visual refinement weaknesses: - - 'Non-Okabe-Ito palette: #306998 (Python blue), #FFD43B, #DC2626 etc. violate the - mandatory palette rule; must use [''#009E73'', ''#D55E00'', ''#0072B2'', ''#CC79A7'', - ''#E69F00'', ''#56B4E9'']' - - 'No ANYPLOT_THEME handling: code ignores ANYPLOT_THEME env var; both renders will - be identical (light-only); must add os.getenv() and set PAGE_BG/INK/INK_SOFT tokens - for plot_background, panel_background, axis_text, axis_title, plot_title' - - 'Wrong output filenames: saves as ''plot.png'' and ''plot.html'' instead of f''plot-{THEME}.png'' - and f''plot-{THEME}.html''' - - 'Wrong title in code: ''bar-race-animated · letsplot · pyplots.ai'' must be ''bar-race-animated - · python · letsplot · anyplot.ai''' - - 'Missing value labels: geom_text with subscriber values beside bars makes the - chart much more readable' + - 'Palette is non-compliant: custom hexes including #306998 (Python Blue) must be + replaced with Okabe-Ito (#009E73, #D55E00, #0072B2, #CC79A7, #E69F00, #56B4E9) + — first platform must get #009E73' + - 'Title string in code is wrong: bar-race-animated · letsplot · pyplots.ai must + be bar-race-animated · python · letsplot · anyplot.ai' + - No ANYPLOT_THEME detection; output filenames must be plot-{THEME}.png and plot-{THEME}.html + - 2023 subscriber values are unrealistically high (696M peak); reduce max to ~300M + to stay plausible image_description: |- Light render (plot-light.png): - Background: Warm off-white (~#FAF8F1), not pure white — PASS - Chrome: Title "bar-race-animated · python · letsplot · anyplot.ai" in dark text, clearly readable. Year panel labels (2016, 2018, 2021, 2023) bold and prominent. Platform labels, x-axis tick labels, and "Subscribers (millions)" axis title all readable in dark ink. - Data: 6 platforms colored distinctively — FlixNet blue (#306998, non-Okabe-Ito), ViewHub orange, StreamMax teal (~#059669), MediaFlow light blue, WatchNow pink, CineCloud gold. Value labels (124M, 94M, etc.) shown beside each bar. Bars clearly sized and sorted by value. - Legibility verdict: PASS + Background: Light near-white (appears white/off-white from theme_minimal); 2x2 grid of horizontal bar chart panels + Chrome: Title "bar-race-animated · python · letsplot · anyplot.ai" at top (dark, bold, readable); panel year headings (2016, 2018, 2021, 2023) bold and large; platform labels on Y-axis dark and readable; axis tick labels dark and readable; X-axis label "Subscribers (millions)" clearly visible + Data: Six platforms colored with custom hexes (#306998 blue, orange-red, red, teal, purple, orange) consistently across all panels; value labels (e.g. 124M, 94M) visible at bar ends; bars sorted by descending subscriber count; dramatic ranking changes visible across panels + Legibility verdict: PASS — all text clearly readable against light background; no light-on-light issues Dark render (plot-dark.png): - Background: Near-black dark background — PASS (appears to originate from a previous code version with ANYPLOT_THEME handling; current code lacks this) - Chrome: Title and all labels use white/light text, clearly readable against dark surface. Year labels, platform names, tick labels all visible. No dark-on-dark failures observed. - Data: Bar colors are identical to the light render — correct per spec. Value labels visible in white. - Legibility verdict: PASS - - NOTE: Significant discrepancy between current code and rendered images. Code saves as 'plot.png' (not plot-{THEME}.png), has title 'bar-race-animated · letsplot · pyplots.ai' (not correct format), lacks ANYPLOT_THEME handling, and lacks geom_text for value labels. Images appear to originate from an earlier, more complete version of the code. + Background: Dark near-black; same 2x2 grid layout + Chrome: All text flips to light/white — title, panel year headings, platform labels, tick labels, axis label all readable against dark surface; no dark-on-dark failures observed + Data: Bar colors are visually identical to light render (Okabe-Ito data colors should be constant — but here custom hexes are constant, which is at least internally consistent); value labels remain visible + Legibility verdict: PASS — all text clearly readable against dark background; theme adaptation appears functional despite missing explicit ANYPLOT_THEME code criteria_checklist: visual_quality: - score: 22 + score: 25 max: 30 items: - id: VQ-01 name: Text Legibility - score: 6 + score: 7 max: 8 passed: true - comment: Sizes explicitly set (28pt year labels, 18pt axis title, 16-18pt - ticks); readable in both renders + comment: All sizes explicitly set (title 32pt, panel years 28pt, axis_title + 18pt, ticks 16-18pt); axis_title slightly below 20pt guideline - id: VQ-02 name: No Overlap - score: 5 + score: 6 max: 6 passed: true - comment: No overlapping text or bars; well-spaced 2x2 layout + comment: No collisions across all four panels - id: VQ-03 name: Element Visibility - score: 5 + score: 6 max: 6 passed: true - comment: Bars clearly sized and distinguishable; good color contrast + comment: Bars clear (width=0.7, alpha=0.9); value labels at bar ends add clarity - id: VQ-04 name: Color Accessibility score: 1 max: 2 - passed: true - comment: Custom colors are distinguishable but not Okabe-Ito; adequate contrast + passed: false + comment: Colors visually distinct but custom palette not CVD-safe (Okabe-Ito + would be) - id: VQ-05 name: Layout & Canvas score: 3 max: 4 passed: true - comment: 2x2 grid uses canvas well; slight wasted space in panels where x-axis - extends past longest bar + comment: 2x2 grid fills 4800x2700 canvas well; minor excess whitespace between + panels - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Subscribers (millions) with unit; clear year panel titles + comment: X-axis 'Subscribers (millions)' with units; Y-axis blank (appropriate) - id: VQ-07 name: Palette Compliance score: 0 max: 2 passed: false - comment: 'FAIL: #306998 (Python blue) explicitly non-compliant; custom palette - not Okabe-Ito; code lacks ANYPLOT_THEME handling' + comment: 'Non-compliant: custom hexes [#306998, #FFD43B, #DC2626, #059669, + #7C3AED, #EA580C]; #306998 is explicitly prohibited; first color must be + #009E73' design_excellence: score: 12 max: 20 @@ -108,80 +103,76 @@ review: name: Aesthetic Sophistication score: 4 max: 8 - passed: true - comment: Clean small-multiples approach; palette is wrong but layout shows - intent; standard configured-defaults level + passed: false + comment: Well-configured defaults; non-compliant palette prevents higher score - id: DE-02 name: Visual Refinement score: 4 max: 6 passed: true - comment: Y-grid and minor grid removed; legend hidden; theme_minimal base; - no explicit spine removal or ANYPLOT_THEME adaptive panel background + comment: Grid mostly removed, legend removed, theme_minimal base — good refinement - id: DE-03 name: Data Storytelling score: 4 max: 6 passed: true - comment: Sorted bars across 4 time snapshots clearly tell the story of CineCloud's - rise and FlixNet's fall + comment: Sorted bars with consistent colors tell clear story of competitive + dynamics; value labels quantify changes spec_compliance: - score: 12 + score: 13 max: 15 items: - id: SC-01 name: Plot Type - score: 4 + score: 5 max: 5 passed: true - comment: Small multiples of ranked horizontal bars is the spec-prescribed - fallback for non-animated static output + comment: Small multiples grid is correct static alternative for animated spec - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Bars sorted per snapshot; entity labels on y-axis; year titles as - time indicators; consistent color per entity + comment: Sorted bars, entity labels, time indicator, consistent entity colors + all present - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=subscriber value, Y=platform, coord_flip applied; all 6 entities - shown + comment: Horizontal bars correct; all 6 platforms in all 4 panels - id: SC-04 name: Title & Legend score: 1 max: 3 passed: false - comment: Code title is 'bar-race-animated · letsplot · pyplots.ai' — missing - 'python' language token and wrong domain 'pyplots.ai' + comment: Code has 'bar-race-animated · letsplot · pyplots.ai' — missing python, + wrong domain pyplots.ai data_quality: - score: 14 + score: 12 max: 15 items: - id: DQ-01 name: Feature Coverage - score: 5 + score: 6 max: 6 passed: true - comment: 6 entities over 4 time points; rank reversals clearly visible; slightly - missing entity that holds steady to contrast + comment: 'Full ranking dynamics shown: dramatic position changes, diverse + growth rates, all 6 entities in all frames' - id: DQ-02 name: Realistic Context - score: 5 + score: 4 max: 5 passed: true - comment: 'Streaming platform subscriber counts: plausible, neutral, business - domain' + comment: Fictional streaming platforms with plausible names; neutral business + scenario - id: DQ-03 name: Appropriate Scale - score: 4 + score: 2 max: 4 - passed: true - comment: Starting values 28-120M, final values 179-696M over 8 years; growth - rates credible + passed: false + comment: 2016 values realistic (28M-124M); 2023 peak of 696M implausibly high + — no streaming service reaches this; cap at ~300M code_quality: score: 9 max: 10 @@ -191,8 +182,7 @@ review: score: 3 max: 3 passed: true - comment: 'Flat script: imports, data, plot loop, gggrid, save; no functions - or classes' + comment: 'Clean procedural flow: imports -> data -> loop -> gggrid -> save' - id: CQ-02 name: Reproducibility score: 2 @@ -204,48 +194,48 @@ review: score: 2 max: 2 passed: true - comment: Only numpy, pandas, lets_plot — all used + comment: Only used imports - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Loop over snapshot years is clean; pd.Categorical for ordering is - idiomatic; no fake UI + comment: Clean, appropriate complexity; pd.Categorical for ordering is idiomatic - id: CQ-05 name: Output & API score: 0 max: 1 passed: false - comment: Saves as 'plot.png' and 'plot.html' — must be f'plot-{THEME}.png' - and f'plot-{THEME}.html' + comment: Saves to plot.png/plot.html instead of plot-{THEME}.png/html; no + os.getenv('ANYPLOT_THEME') detection library_mastery: - score: 6 + score: 7 max: 10 items: - id: LM-01 name: Idiomatic Usage - score: 3 + score: 4 max: 5 passed: true - comment: Correct ggplot grammar; gggrid for multi-panel; but missing canonical - ANYPLOT_THEME pattern required for all lets-plot implementations + comment: 'Strong ggplot2-grammar: coord_flip, scale_fill_manual, pd.Categorical + sorted axis, theme customization' - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: gggrid() is distinctive to lets-plot; HTML export leverages interactive - output capability + comment: gggrid() is a distinctive letsplot-native feature for composing multi-panel + figures verdict: REJECTED impl_tags: dependencies: [] techniques: - - subplots + - faceting - html-export patterns: - data-generation - iteration-over-groups dataprep: [] styling: + - alpha-blending - minimal-chrome From 751ce855628c4e16d69b6d8692c718171956c37e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 19 May 2026 02:34:17 +0000 Subject: [PATCH 4/5] fix(letsplot): fix palette, theme, title, and scale for bar-race-animated --- .../implementations/python/letsplot.py | 67 +++++++++++-------- 1 file changed, 38 insertions(+), 29 deletions(-) diff --git a/plots/bar-race-animated/implementations/python/letsplot.py b/plots/bar-race-animated/implementations/python/letsplot.py index a4a15d1eed..2b413def73 100644 --- a/plots/bar-race-animated/implementations/python/letsplot.py +++ b/plots/bar-race-animated/implementations/python/letsplot.py @@ -1,9 +1,10 @@ -""" anyplot.ai +"""anyplot.ai bar-race-animated: Animated Bar Chart Race Library: letsplot 4.9.0 | Python 3.13.13 -Quality: 78/100 | Updated: 2026-05-19 """ +import os + import numpy as np import pandas as pd from lets_plot import * @@ -11,40 +12,51 @@ LetsPlot.setup_html() -# Data: Simulated streaming platform subscriber counts (millions) over 8 years +THEME = os.getenv("ANYPLOT_THEME", "light") +PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17" +INK = "#1A1A17" if THEME == "light" else "#F0EFE8" +INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" + +OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00", "#56B4E9"] + np.random.seed(42) platforms = ["StreamMax", "ViewHub", "FlixNet", "WatchNow", "CineCloud", "MediaFlow"] years = list(range(2016, 2024)) -colors = ["#306998", "#FFD43B", "#DC2626", "#059669", "#7C3AED", "#EA580C"] -# Generate realistic growth patterns for each platform -data_rows = [] -base_values = [50, 80, 120, 30, 20, 40] # Starting subscribers in millions -growth_rates = [1.35, 1.15, 1.08, 1.45, 1.55, 1.25] # Annual growth multipliers +# Plausible growth: FlixNet dominates early, WatchNow/CineCloud surge to overtake +base_values = [60, 100, 155, 28, 18, 65] +growth_rates = [1.16, 1.08, 1.03, 1.26, 1.30, 1.10] +data_rows = [] for i, platform in enumerate(platforms): value = base_values[i] for year in years: - # Add some randomness to growth noise = np.random.uniform(0.9, 1.1) value = value * growth_rates[i] * noise data_rows.append({"platform": platform, "year": year, "subscribers": round(value, 1)}) df = pd.DataFrame(data_rows) -# Select 4 key time snapshots for the small multiples grid +platform_colors = dict(zip(platforms, OKABE_ITO)) snapshot_years = [2016, 2018, 2021, 2023] -# Assign consistent colors to each platform (dictionary for named mapping) -platform_colors = dict(zip(platforms, colors)) +anyplot_theme = theme( + plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + panel_background=element_rect(fill=PAGE_BG), + panel_grid_major=element_blank(), + panel_grid_minor=element_blank(), + axis_title=element_text(color=INK), + axis_text=element_text(color=INK_SOFT), + axis_line=element_line(color=INK_SOFT), + plot_title=element_text(color=INK), + legend_position="none", +) -# Build individual plots for each snapshot year plots = [] for year in snapshot_years: year_data = df[df["year"] == year].copy() year_data = year_data.sort_values("subscribers", ascending=True) - # Create ordered factor for proper bar ordering (sorted by value) year_data["platform"] = pd.Categorical( year_data["platform"], categories=year_data["platform"].tolist(), ordered=True ) @@ -56,29 +68,26 @@ + scale_fill_manual(values=platform_colors) + labs(title=str(year), x="", y="Subscribers (millions)") + theme_minimal() + + anyplot_theme + theme( - plot_title=element_text(size=28, face="bold"), - axis_title_x=element_text(size=18), + plot_title=element_text(size=28, face="bold", color=INK), + axis_title_x=element_text(size=18, color=INK), axis_title_y=element_blank(), - axis_text_x=element_text(size=16), - axis_text_y=element_text(size=18), - legend_position="none", - panel_grid_major_y=element_blank(), - panel_grid_minor=element_blank(), + axis_text_x=element_text(size=16, color=INK_SOFT), + axis_text_y=element_text(size=18, color=INK_SOFT), ) ) plots.append(plot) -# Use gggrid for 2x2 layout with overall title grid = ( gggrid(plots, ncol=2) - + labs(title="bar-race-animated · letsplot · pyplots.ai") - + theme(plot_title=element_text(size=32, face="bold", hjust=0.5)) + + labs(title="bar-race-animated · python · letsplot · anyplot.ai") + + theme( + plot_title=element_text(size=32, face="bold", hjust=0.5, color=INK), + plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + ) + ggsize(1600, 900) ) -# Save as PNG (scale=3 for 4800x2700 px output) -ggsave(grid, "plot.png", path=".", scale=3) - -# Save interactive HTML version -ggsave(grid, "plot.html", path=".") +ggsave(grid, f"plot-{THEME}.png", path=".", scale=3) +ggsave(grid, f"plot-{THEME}.html", path=".") From 6489854c34b6b545553012863865e909b122afd7 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 19 May 2026 02:40:52 +0000 Subject: [PATCH 5/5] chore(letsplot): update quality score 86 and review feedback for bar-race-animated --- .../implementations/python/letsplot.py | 3 +- .../metadata/python/letsplot.yaml | 186 +++++++++--------- 2 files changed, 98 insertions(+), 91 deletions(-) diff --git a/plots/bar-race-animated/implementations/python/letsplot.py b/plots/bar-race-animated/implementations/python/letsplot.py index 2b413def73..0b6855a1b7 100644 --- a/plots/bar-race-animated/implementations/python/letsplot.py +++ b/plots/bar-race-animated/implementations/python/letsplot.py @@ -1,6 +1,7 @@ -"""anyplot.ai +""" anyplot.ai bar-race-animated: Animated Bar Chart Race Library: letsplot 4.9.0 | Python 3.13.13 +Quality: 86/100 | Updated: 2026-05-19 """ import os diff --git a/plots/bar-race-animated/metadata/python/letsplot.yaml b/plots/bar-race-animated/metadata/python/letsplot.yaml index 31a0da57e5..bb9adc0aed 100644 --- a/plots/bar-race-animated/metadata/python/letsplot.yaml +++ b/plots/bar-race-animated/metadata/python/letsplot.yaml @@ -2,7 +2,7 @@ library: letsplot language: python specification_id: bar-race-animated created: '2026-01-11T00:21:50Z' -updated: '2026-05-19T02:25:29Z' +updated: '2026-05-19T02:40:51Z' generated_by: claude-sonnet workflow_run: 26071447018 issue: 3653 @@ -12,40 +12,44 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/bar-race- preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/bar-race-animated/python/letsplot/plot-dark.html -quality_score: 78 +quality_score: 86 review: strengths: - - Small multiples grid with sorted bars at each snapshot cleanly satisfies the animated - spec for a static library - - Consistent entity colors across all panels enable visual tracking of platform - trajectories - - Good use of letsplot gggrid() for panel composition — idiomatic and distinctive - - Value labels at bar ends add quantitative readability - - Grid lines removed, legend omitted — clean visual refinement + - Correct small-multiples approach for a static library; spec explicitly permits + this and the implementation executes it cleanly + - 'Okabe-Ito palette perfectly applied: StreamMax mapped to #009E73 first, remaining + entries follow canonical order with consistent entity coloring across all panels' + - 'Full theme-adaptive chrome in both renders: correct backgrounds, INK/INK_SOFT + tokens threaded through all text elements' + - np.random.seed(42) ensures reproducibility; plausible streaming data with meaningful + ranking reversals + - gggrid() used idiomatically with proper per-subplot pd.Categorical ordering to + maintain sorted bars weaknesses: - - 'Palette is non-compliant: custom hexes including #306998 (Python Blue) must be - replaced with Okabe-Ito (#009E73, #D55E00, #0072B2, #CC79A7, #E69F00, #56B4E9) - — first platform must get #009E73' - - 'Title string in code is wrong: bar-race-animated · letsplot · pyplots.ai must - be bar-race-animated · python · letsplot · anyplot.ai' - - No ANYPLOT_THEME detection; output filenames must be plot-{THEME}.png and plot-{THEME}.html - - 2023 subscriber values are unrealistically high (696M peak); reduce max to ~300M - to stay plausible + - No subtle X-axis grid lines on bar charts — readers cannot easily compare bar + lengths across panels without reference lines; adding panel_grid_major_x would + help + - gggrid panel borders render as bright white outlines in dark mode; consider panel_border=element_blank() + or styling to match the dark surface + - No value labels on bars (geom_text) — would enhance readability of exact subscriber + counts without needing grid lines + - 'Design storytelling is minimal: no visual emphasis on the leading bar per panel, + no annotations marking key competitive moments' image_description: |- Light render (plot-light.png): - Background: Light near-white (appears white/off-white from theme_minimal); 2x2 grid of horizontal bar chart panels - Chrome: Title "bar-race-animated · python · letsplot · anyplot.ai" at top (dark, bold, readable); panel year headings (2016, 2018, 2021, 2023) bold and large; platform labels on Y-axis dark and readable; axis tick labels dark and readable; X-axis label "Subscribers (millions)" clearly visible - Data: Six platforms colored with custom hexes (#306998 blue, orange-red, red, teal, purple, orange) consistently across all panels; value labels (e.g. 124M, 94M) visible at bar ends; bars sorted by descending subscriber count; dramatic ranking changes visible across panels - Legibility verdict: PASS — all text clearly readable against light background; no light-on-light issues + Background: Warm off-white #FAF8F1 — correct + Chrome: Main title "bar-race-animated · python · letsplot · anyplot.ai" bold dark text; year labels (2016/2018/2021/2023) bold dark size-28; X-axis label "Subscribers (millions)" visible; Y-axis platform names readable + Data: StreamMax=#009E73 (green), ViewHub=#D55E00 (orange), FlixNet=#0072B2 (blue), WatchNow=#CC79A7 (pink), CineCloud=#E69F00 (gold), MediaFlow=#56B4E9 (sky blue) — full Okabe-Ito order; first entity correctly green + Legibility verdict: PASS Dark render (plot-dark.png): - Background: Dark near-black; same 2x2 grid layout - Chrome: All text flips to light/white — title, panel year headings, platform labels, tick labels, axis label all readable against dark surface; no dark-on-dark failures observed - Data: Bar colors are visually identical to light render (Okabe-Ito data colors should be constant — but here custom hexes are constant, which is at least internally consistent); value labels remain visible - Legibility verdict: PASS — all text clearly readable against dark background; theme adaptation appears functional despite missing explicit ANYPLOT_THEME code + Background: Near-black #1A1A17 — correct + Chrome: Title and year labels rendered in light #F0EFE8; tick labels in muted #B8B7B0; all text readable against dark surface. Minor: gggrid panel borders appear as slightly bright white outlines around each subplot panel but do not obscure data + Data: Colors visually identical to light render — all six Okabe-Ito bars maintain their identity; no color shift between themes + Legibility verdict: PASS criteria_checklist: visual_quality: - score: 25 + score: 29 max: 30 items: - id: VQ-01 @@ -53,73 +57,76 @@ review: score: 7 max: 8 passed: true - comment: All sizes explicitly set (title 32pt, panel years 28pt, axis_title - 18pt, ticks 16-18pt); axis_title slightly below 20pt guideline + comment: Title and year labels bold and well-sized; axis tick labels at size + 16 slightly compressed within 2x2 panel layout - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No collisions across all four panels + comment: No text or element collisions across any of the four panels - id: VQ-03 name: Element Visibility score: 6 max: 6 passed: true - comment: Bars clear (width=0.7, alpha=0.9); value labels at bar ends add clarity + comment: All bars and labels clearly visible in both themes - id: VQ-04 name: Color Accessibility - score: 1 + score: 2 max: 2 - passed: false - comment: Colors visually distinct but custom palette not CVD-safe (Okabe-Ito - would be) + passed: true + comment: Okabe-Ito palette used throughout; CVD-safe - id: VQ-05 name: Layout & Canvas - score: 3 + score: 4 max: 4 passed: true - comment: 2x2 grid fills 4800x2700 canvas well; minor excess whitespace between - panels + comment: 2x2 grid at 1600x900 scaled 3x = 4800x2700; nothing clipped - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: X-axis 'Subscribers (millions)' with units; Y-axis blank (appropriate) + comment: Subscribers (millions) on X-axis; year as subplot title; required + title format correct - id: VQ-07 name: Palette Compliance - score: 0 + score: 2 max: 2 - passed: false - comment: 'Non-compliant: custom hexes [#306998, #FFD43B, #DC2626, #059669, - #7C3AED, #EA580C]; #306998 is explicitly prohibited; first color must be - #009E73' + passed: true + comment: 'StreamMax correctly maps to #009E73; full Okabe-Ito order; backgrounds + #FAF8F1/#1A1A17 correct' design_excellence: - score: 12 + score: 11 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 4 + score: 5 max: 8 - passed: false - comment: Well-configured defaults; non-compliant palette prevents higher score + passed: true + comment: Clean Okabe-Ito palette, proper theme adaptation, bold year labels + create focal points. Functional and professional but no standout design + choices - id: DE-02 name: Visual Refinement - score: 4 + score: 3 max: 6 - passed: true - comment: Grid mostly removed, legend removed, theme_minimal base — good refinement + passed: false + comment: Grid completely removed and legend omitted. For a horizontal bar + chart, subtle X-axis grid lines would help compare bar lengths. Panel borders + slightly intrusive in dark mode - id: DE-03 name: Data Storytelling - score: 4 + score: 3 max: 6 - passed: true - comment: Sorted bars with consistent colors tell clear story of competitive - dynamics; value labels quantify changes + passed: false + comment: Temporal sequence tells the streaming race story. Rankings shift + visibly. But no annotations, no emphasis on winner per panel, no visual + cues guiding reader spec_compliance: - score: 13 + score: 15 max: 15 items: - id: SC-01 @@ -127,54 +134,55 @@ review: score: 5 max: 5 passed: true - comment: Small multiples grid is correct static alternative for animated spec + comment: Horizontal bar chart race implemented as small multiples (explicitly + sanctioned by spec for static libraries) - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Sorted bars, entity labels, time indicator, consistent entity colors - all present + comment: Bars sorted by value per panel; entity labels on Y-axis; year as + time indicator; consistent entity colors across all panels - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: Horizontal bars correct; all 6 platforms in all 4 panels + comment: X = subscribers (value), Y = platform (entity); all data ranges displayed + correctly - id: SC-04 name: Title & Legend - score: 1 + score: 3 max: 3 - passed: false - comment: Code has 'bar-race-animated · letsplot · pyplots.ai' — missing python, - wrong domain pyplots.ai + passed: true + comment: Title matches required format; no legend needed with platform names + on Y-axis data_quality: - score: 12 + score: 14 max: 15 items: - id: DQ-01 name: Feature Coverage - score: 6 + score: 5 max: 6 passed: true - comment: 'Full ranking dynamics shown: dramatic position changes, diverse - growth rates, all 6 entities in all frames' + comment: Six platforms across four meaningful time points with ranking changes + visible. Slightly reduced for only 4 snapshots from 8 years of data - id: DQ-02 name: Realistic Context - score: 4 + score: 5 max: 5 passed: true - comment: Fictional streaming platforms with plausible names; neutral business - scenario + comment: Streaming platform subscribers in millions is neutral and real-world-plausible - id: DQ-03 name: Appropriate Scale - score: 2 + score: 4 max: 4 - passed: false - comment: 2016 values realistic (28M-124M); 2023 peak of 696M implausibly high - — no streaming service reaches this; cap at ~300M + passed: true + comment: Values range ~15M to ~190M with realistic growth trajectories and + noise code_quality: - score: 9 + score: 10 max: 10 items: - id: CQ-01 @@ -182,32 +190,31 @@ review: score: 3 max: 3 passed: true - comment: 'Clean procedural flow: imports -> data -> loop -> gggrid -> save' + comment: No functions or classes; flat procedural script - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: np.random.seed(42) + comment: np.random.seed(42) set - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only used imports + comment: Only os, numpy, pandas, lets_plot imported; all used - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean, appropriate complexity; pd.Categorical for ordering is idiomatic + comment: Clean iteration; pd.Categorical used correctly for axis ordering - id: CQ-05 name: Output & API - score: 0 + score: 1 max: 1 - passed: false - comment: Saves to plot.png/plot.html instead of plot-{THEME}.png/html; no - os.getenv('ANYPLOT_THEME') detection + passed: true + comment: Saves plot-{THEME}.png (scale=3) and plot-{THEME}.html library_mastery: score: 7 max: 10 @@ -217,20 +224,20 @@ review: score: 4 max: 5 passed: true - comment: 'Strong ggplot2-grammar: coord_flip, scale_fill_manual, pd.Categorical - sorted axis, theme customization' + comment: Correct ggplot grammar; gggrid() for multi-panel, coord_flip(), scale_fill_manual(), + proper theme layering - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: gggrid() is a distinctive letsplot-native feature for composing multi-panel - figures - verdict: REJECTED + comment: gggrid() is distinctive to letsplot; HTML export generated; could + further leverage geom_text for value labels + verdict: APPROVED impl_tags: dependencies: [] techniques: - - faceting + - subplots - html-export patterns: - data-generation @@ -238,4 +245,3 @@ impl_tags: dataprep: [] styling: - alpha-blending - - minimal-chrome