From 0cfbcb5f87503fb46917ca797309e13526c69eb0 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 13 May 2026 01:19:29 +0000 Subject: [PATCH 1/3] chore(letsplot): add metadata for polar-bar --- .../implementations/python/letsplot.py | 62 ++--- plots/polar-bar/metadata/python/letsplot.yaml | 216 ++---------------- 2 files changed, 53 insertions(+), 225 deletions(-) diff --git a/plots/polar-bar/implementations/python/letsplot.py b/plots/polar-bar/implementations/python/letsplot.py index e78cb4afca..7dc1263972 100644 --- a/plots/polar-bar/implementations/python/letsplot.py +++ b/plots/polar-bar/implementations/python/letsplot.py @@ -1,9 +1,11 @@ -""" pyplots.ai +"""anyplot.ai polar-bar: Polar Bar Chart (Wind Rose) -Library: letsplot 4.8.2 | Python 3.13.11 -Quality: 92/100 | Created: 2025-12-30 +Library: letsplot | Python 3.13 +Quality: pending | Created: 2025-12-30 """ +import os + import numpy as np import pandas as pd from lets_plot import ( @@ -11,9 +13,11 @@ aes, coord_polar, element_line, + element_rect, element_text, geom_bar, ggplot, + ggsave, ggsize, labs, scale_fill_manual, @@ -21,45 +25,51 @@ theme, theme_minimal, ) -from lets_plot.export import ggsave LetsPlot.setup_html() -# Data - Wind direction frequency data (8 compass directions) -np.random.seed(42) -directions = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"] +# Theme-adaptive colors +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" -# Generate realistic wind frequency data -frequencies = np.array([15, 8, 12, 5, 10, 18, 22, 14]) +# Okabe-Ito palette + adaptive neutral for 8 compass directions +OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00", "#56B4E9", "#F0E442"] +NEUTRAL = "#1A1A1A" if THEME == "light" else "#E8E8E0" +DIRECTION_COLORS = OKABE_ITO + [NEUTRAL] -# Create DataFrame - direction as categorical factor +# Data - Monsoon wind pattern (SW-dominant, distinct from westerlies) +directions = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"] +frequencies = np.array([3, 5, 6, 12, 28, 35, 6, 5]) + +# Create DataFrame df = pd.DataFrame( {"direction": pd.Categorical(directions, categories=directions, ordered=True), "frequency": frequencies} ) # Create polar bar chart (wind rose) -# Use coord_polar to wrap bars in a circle plot = ( ggplot(df, aes(x="direction", y="frequency", fill="direction")) - + geom_bar(stat="identity", color="white", size=0.8, alpha=0.85, width=0.95) - + coord_polar(start=-np.pi / 8) # Rotate so N is at top - + scale_fill_manual(values=["#306998", "#4A90C2", "#FFD43B", "#F5A623", "#7B68EE", "#9B59B6", "#2ECC71", "#27AE60"]) + + geom_bar(stat="identity", color="white", size=0.5, alpha=0.85, width=0.95) + + coord_polar(start=-np.pi / 8) + + scale_fill_manual(values=DIRECTION_COLORS) + scale_y_continuous(limits=[0, None], expand=[0, 0.5]) - + labs(title="polar-bar · letsplot · pyplots.ai", x="", y="Frequency (%)") + + labs(title="polar-bar · letsplot · anyplot.ai", x="", y="Frequency (%)") + theme_minimal() + theme( - plot_title=element_text(size=24, face="bold"), - axis_title_y=element_text(size=18), - axis_text=element_text(size=14), - legend_position="none", # Hide legend (labels shown around chart) - panel_grid_major=element_line(color="#CCCCCC", size=0.3), + plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + panel_grid_major=element_line(color=INK_SOFT, size=0.3), + plot_title=element_text(size=24, color=INK, face="bold"), + axis_title_y=element_text(size=20, color=INK), + axis_text=element_text(size=16, color=INK_SOFT), + legend_position="none", ) - + ggsize(1200, 1200) # Square for polar chart + + ggsize(1200, 1200) ) -# Save as PNG (scale 3x for high resolution: 3600x3600 for square polar) -ggsave(plot, "plot.png", scale=3, path=".") - -# Save interactive HTML -ggsave(plot, "plot.html", path=".") +# Save as PNG and HTML (theme-suffixed) +ggsave(plot, f"plot-{THEME}.png", scale=3, path=".") +ggsave(plot, f"plot-{THEME}.html", path=".") diff --git a/plots/polar-bar/metadata/python/letsplot.yaml b/plots/polar-bar/metadata/python/letsplot.yaml index d161f6c133..e6dc456759 100644 --- a/plots/polar-bar/metadata/python/letsplot.yaml +++ b/plots/polar-bar/metadata/python/letsplot.yaml @@ -1,203 +1,21 @@ +# Per-library metadata for letsplot implementation of polar-bar +# Auto-generated by impl-generate.yml + library: letsplot +language: python specification_id: polar-bar created: '2025-12-30T16:36:44Z' -updated: '2025-12-30T16:45:26Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20601061239 -issue: 0 -python_version: 3.13.11 -library_version: 4.8.2 -preview_url: https://storage.googleapis.com/anyplot-images/plots/polar-bar/letsplot/plot.png -preview_html: https://storage.googleapis.com/anyplot-images/plots/polar-bar/letsplot/plot.html -quality_score: 92 -impl_tags: - dependencies: [] - techniques: - - polar-projection - patterns: - - data-generation - dataprep: [] - styling: [] +updated: '2026-05-13T01:19:29Z' +generated_by: claude-haiku +workflow_run: 25772046568 +issue: 2693 +python_version: 3.13.13 +library_version: 4.9.0 +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.png +preview_html_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-light.html +preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.html +quality_score: null review: - strengths: - - Correct polar bar/wind rose implementation using coord_polar - - Good color differentiation across 8 compass directions - - Clean KISS code structure with proper seed for reproducibility - - Appropriate use of lets-plot grammar of graphics features (geom_bar + coord_polar) - - Well-formatted title following spec-id · library · pyplots.ai convention - weaknesses: - - Y-axis label shows Frequency (%) but data appears to be absolute counts not percentages - - Direction labels (NE, SE) positioned outside the plot area - could be more integrated - - Consider adding radial gridlines for easier magnitude reading - image_description: 'The plot displays a polar bar chart (wind rose) with 8 compass - directions (N, NE, E, SE, S, SW, W, NW) arranged in a circle. Each direction has - a colored bar extending outward from the center, with bar length representing - frequency. The colors used are: N (blue), NE (light blue), E (yellow), SE (orange), - S (purple), SW (dark purple), W (green), NW (lighter green). The title "polar-bar - · letsplot · pyplots.ai" appears at the top. The y-axis is labeled "Frequency - (%)" with gridlines at intervals of 2 from 0 to 22. Direction labels are placed - around the outside of the chart. The W direction has the longest bar (~22), followed - by SW (~18), N (~15), and NW (~14). SE has the shortest bar (~5).' - criteria_checklist: - visual_quality: - score: 36 - max: 40 - items: - - id: VQ-01 - name: Text Legibility - score: 10 - max: 10 - passed: true - comment: Title is bold and prominent, axis labels and tick marks are clearly - readable at full resolution - - id: VQ-02 - name: No Overlap - score: 8 - max: 8 - passed: true - comment: No overlapping text elements, direction labels are well-spaced - - id: VQ-03 - name: Element Visibility - score: 8 - max: 8 - passed: true - comment: Bars are clearly visible with good alpha (0.85) and white borders - for separation - - id: VQ-04 - name: Color Accessibility - score: 5 - max: 5 - passed: true - comment: 8 distinct colors that are easily distinguishable; no red-green confusion - - id: VQ-05 - name: Layout Balance - score: 4 - max: 5 - passed: true - comment: Good use of square canvas for polar chart, slight issue with direction - labels being outside plot area - - id: VQ-06 - name: Axis Labels - score: 1 - max: 2 - passed: true - comment: Y-axis has "Frequency (%)" label but data values appear to be counts, - not percentages (minor inconsistency) - - id: VQ-07 - name: Grid & Legend - score: 0 - max: 2 - passed: true - comment: Grid is subtle (good), but legend is hidden - while direction labels - around chart serve this purpose, the label positioning could be better integrated - spec_compliance: - score: 25 - max: 25 - items: - - id: SC-01 - name: Plot Type - score: 8 - max: 8 - passed: true - comment: Correct polar bar chart / wind rose implementation - - id: SC-02 - name: Data Mapping - score: 5 - max: 5 - passed: true - comment: Direction correctly mapped to angle, frequency to bar height - - id: SC-03 - name: Required Features - score: 5 - max: 5 - passed: true - comment: 'All spec features present: bars radiating outward, 8 compass directions, - magnitude represented by bar length' - - id: SC-04 - name: Data Range - score: 3 - max: 3 - passed: true - comment: All data visible, y-axis extends appropriately to 22 - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: Direction labels correctly positioned around chart - - id: SC-06 - name: Title Format - score: 2 - max: 2 - passed: true - comment: 'Uses correct format: "polar-bar · letsplot · pyplots.ai"' - data_quality: - score: 18 - max: 20 - items: - - id: DQ-01 - name: Feature Coverage - score: 7 - max: 8 - passed: true - comment: Shows variation across directions with different frequencies; could - benefit from stacked categories as mentioned in spec notes - - id: DQ-02 - name: Realistic Context - score: 7 - max: 7 - passed: true - comment: Wind frequency data is a real, neutral application for wind roses - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 5 - passed: true - comment: Values 5-22 are plausible for wind frequency data, though "Frequency - (%)" label suggests percentages while data looks like counts - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: Clean imports → data → plot → save structure, no functions/classes - - id: CQ-02 - name: Reproducibility - score: 3 - max: 3 - passed: true - comment: Uses np.random.seed(42) - - 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 lets-plot API - - id: CQ-05 - name: Output Correct - score: 1 - max: 1 - passed: true - comment: Saves as plot.png and plot.html - library_features: - score: 3 - max: 5 - items: - - id: LF-01 - name: Uses distinctive library features - score: 3 - max: 5 - passed: true - comment: Good use of coord_polar() and grammar of graphics approach, but relatively - standard implementation without advanced lets-plot features - verdict: APPROVED + strengths: [] + weaknesses: [] From 31e2e2da5dea000e0186d7d15b9c5b1e5a208dff Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 13 May 2026 01:23:00 +0000 Subject: [PATCH 2/3] chore(letsplot): update quality score 85 and review feedback for polar-bar --- .../implementations/python/letsplot.py | 6 +- plots/polar-bar/metadata/python/letsplot.yaml | 247 +++++++++++++++++- 2 files changed, 243 insertions(+), 10 deletions(-) diff --git a/plots/polar-bar/implementations/python/letsplot.py b/plots/polar-bar/implementations/python/letsplot.py index 7dc1263972..b60600ca7f 100644 --- a/plots/polar-bar/implementations/python/letsplot.py +++ b/plots/polar-bar/implementations/python/letsplot.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai polar-bar: Polar Bar Chart (Wind Rose) -Library: letsplot | Python 3.13 -Quality: pending | Created: 2025-12-30 +Library: letsplot 4.9.0 | Python 3.13.13 +Quality: 85/100 | Updated: 2026-05-13 """ import os diff --git a/plots/polar-bar/metadata/python/letsplot.yaml b/plots/polar-bar/metadata/python/letsplot.yaml index e6dc456759..f00bdf360d 100644 --- a/plots/polar-bar/metadata/python/letsplot.yaml +++ b/plots/polar-bar/metadata/python/letsplot.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for letsplot implementation of polar-bar -# Auto-generated by impl-generate.yml - library: letsplot language: python specification_id: polar-bar created: '2025-12-30T16:36:44Z' -updated: '2026-05-13T01:19:29Z' +updated: '2026-05-13T01:22:59Z' generated_by: claude-haiku workflow_run: 25772046568 issue: 2693 @@ -15,7 +12,243 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.html -quality_score: null +quality_score: 85 review: - strengths: [] - weaknesses: [] + strengths: + - Perfect text legibility in both light and dark themes with theme-adaptive colors + throughout + - Correct and strict Okabe-Ito palette adherence with brand green (#009E73) as first + series + - Clean, minimal code structure with no unnecessary complexity; fully reproducible + - Proper canvas sizing for symmetric plots (3600x3600 px final) with correct export + scaling + - 'Background colors exactly match spec (#FAF8F1 light, #1A1A17 dark); no pure white/black' + - Realistic monsoon wind pattern with accurate meteorological context + - Bars have white edges and alpha=0.85 for visual definition + weaknesses: + - 'Design Excellence is low: implementation is clean but lacks distinctive aesthetic + choices beyond the minimal theme' + - 'Library Mastery limited: uses core letsplot features correctly but doesn''t showcase + library-specific capabilities or advanced customization' + - 'Visual hierarchy is functional but not intentional: plot communicates data clearly + but doesn''t emphasize key patterns (SW dominance) through color, size, or position + emphasis' + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (#FAF8F1) - matches spec exactly + Chrome: Title "polar-bar · letsplot · anyplot.ai" in dark INK color (#1A1A17); Y-axis labeled "Frequency (%)" in INK; tick labels (5, 10, 15, 20, 25, 30, 35) and direction labels (N, NE, E, SE, S, SW, W, NW) in INK_SOFT gray (#4A4A44). All text is clearly readable against light background. + Data: 8 bars radiating outward using Okabe-Ito colors in order: N (#009E73 green), NE (#D55E00 orange), E (#0072B2 blue), SE (#CC79A7 purple), S (#E69F00 gold), SW (#56B4E9 sky blue), W (#F0E442 yellow), NW (#1A1A1A dark neutral). Bars have white edges for definition. Grid circles are subtle but visible. Proportions correct: SW largest (35), S second (28), others smaller (3-12). + Legibility verdict: PASS - all elements visible, no light-on-light failures, excellent contrast + + Dark render (plot-dark.png): + Background: Warm near-black (#1A1A17) - matches spec exactly + Chrome: Title in light INK color (#F0EFE8); Y-axis label and tick labels in light INK_SOFT (#B8B7B0). All text is clearly readable against dark background with good contrast. + Data: Colors identical to light render (Okabe-Ito positions 1-7 constant). Neutral bar (NW) correctly adapts to #E8E8E0 (light off-white) for visibility. Grid circles remain subtle. No dark-on-dark failures - all text sufficiently light and all data bars sufficiently distinct. + Legibility verdict: PASS - no dark-on-dark failures, excellent theme adaptation, all elements readable + criteria_checklist: + visual_quality: + score: 30 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 8 + passed: true + comment: All text properly sized (24pt title, 20pt axis label, 16pt ticks). + Fully readable in both light and dark themes with theme-adaptive colors. + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: Direction labels positioned around circle perimeter. Data bars clearly + distinguishable. No text collisions. + - id: VQ-03 + name: Element Visibility + score: 6 + max: 6 + passed: true + comment: Even small bars (3-6 units) visible with alpha=0.85. White edges + on bars provide definition. No hidden or obscured elements. + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Okabe-Ito palette is CVD-safe (peer-reviewed). No problematic color + pairs. Colorblind-friendly throughout. + - id: VQ-05 + name: Layout & Canvas + score: 4 + max: 4 + passed: true + comment: Canvas 1200x1200 base (3600x3600 final) appropriate for symmetric + polar plot. Grid proportionate, nothing cut off, generous whitespace. + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Title correct format. Y-axis labeled with units. Directions labeled + around perimeter. All labels descriptive. + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First series (N) uses #009E73 brand green. Okabe-Ito order 0-7. + Backgrounds #FAF8F1 (light) and #1A1A17 (dark). Neutral adapts correctly. + Both renders theme-correct.' + design_excellence: + score: 10 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: false + comment: Clean minimal aesthetic with theme_minimal() foundation. Adequate + execution of basics but lacks custom design touches or distinctive refinement + beyond defaults. + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: false + comment: Theme_minimal() provides spines. Grid subtly styled (size=0.3). Some + refinement (bar edges) but mostly standard styling without extended customization. + - id: DE-03 + name: Data Storytelling + score: 3 + max: 6 + passed: false + comment: Effectively shows monsoon dominance (SW peak) but visual hierarchy + is functional rather than intentional. Color separates directions naturally + but no additional emphasis or focal-point design. + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Correct polar bar chart (wind rose). coord_polar() with appropriate + angular offset. + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: All 8 compass directions shown, frequency as bar magnitude, bars + radiate outward, appropriate for meteorological data. + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: X maps to direction (categorical), Y to frequency (numeric). Axes + show full range. All categories represented. + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title correct format. Legend hidden (appropriate for wind rose with + perimeter labels). + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: Full compass rose with 8 cardinal directions. Frequency range 3-35 + demonstrates plot-type versatility. + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Monsoon wind pattern (SW dominance, reduced N/E) is meteorologically + plausible and neutral. + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Frequency values sensible for wind distribution. Good data range, + no outliers. + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: No unnecessary functions or classes. Straightforward procedural code, + easy to read. + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Data hardcoded (deterministic), no random generation. Fully reproducible. + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: Only imports from lets_plot, numpy, pandas, os. All imports used. + No extraneous dependencies. + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: No fake UI or simulated interactivity. No AR-08 violations. Complexity + appropriate. + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves as plot-{THEME}.png and .html. Theme-suffixed filenames. Current + letsplot API. + library_mastery: + score: 5 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 4 + max: 5 + passed: true + comment: Uses idiomatic ggplot2/letsplot pattern. High-level API. coord_polar() + applied correctly. Theme customization functional but not sophisticated. + - id: LM-02 + name: Distinctive Features + score: 1 + max: 5 + passed: false + comment: Standard use of letsplot features (ggsize, ggsave, theme system). + No distinctive library-specific techniques beyond plot requirements. + verdict: APPROVED +impl_tags: + dependencies: [] + techniques: + - polar-projection + patterns: + - data-generation + dataprep: [] + styling: + - alpha-blending + - edge-highlighting + - grid-styling From 7638d3c13392ba4aa8116544f14150ce92e59b1b Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 13 May 2026 01:30:22 +0000 Subject: [PATCH 3/3] chore(letsplot): update quality score 92 and review feedback for polar-bar --- .../implementations/python/letsplot.py | 2 +- plots/polar-bar/metadata/python/letsplot.yaml | 175 +++++++++--------- 2 files changed, 86 insertions(+), 91 deletions(-) diff --git a/plots/polar-bar/implementations/python/letsplot.py b/plots/polar-bar/implementations/python/letsplot.py index b60600ca7f..a45ec00035 100644 --- a/plots/polar-bar/implementations/python/letsplot.py +++ b/plots/polar-bar/implementations/python/letsplot.py @@ -1,7 +1,7 @@ """ anyplot.ai polar-bar: Polar Bar Chart (Wind Rose) Library: letsplot 4.9.0 | Python 3.13.13 -Quality: 85/100 | Updated: 2026-05-13 +Quality: 92/100 | Updated: 2026-05-13 """ import os diff --git a/plots/polar-bar/metadata/python/letsplot.yaml b/plots/polar-bar/metadata/python/letsplot.yaml index f00bdf360d..64f52ec7e1 100644 --- a/plots/polar-bar/metadata/python/letsplot.yaml +++ b/plots/polar-bar/metadata/python/letsplot.yaml @@ -2,7 +2,7 @@ library: letsplot language: python specification_id: polar-bar created: '2025-12-30T16:36:44Z' -updated: '2026-05-13T01:22:59Z' +updated: '2026-05-13T01:30:22Z' generated_by: claude-haiku workflow_run: 25772046568 issue: 2693 @@ -12,39 +12,39 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.html -quality_score: 85 +quality_score: 92 review: strengths: - - Perfect text legibility in both light and dark themes with theme-adaptive colors - throughout - - Correct and strict Okabe-Ito palette adherence with brand green (#009E73) as first - series - - Clean, minimal code structure with no unnecessary complexity; fully reproducible - - Proper canvas sizing for symmetric plots (3600x3600 px final) with correct export - scaling - - 'Background colors exactly match spec (#FAF8F1 light, #1A1A17 dark); no pure white/black' - - Realistic monsoon wind pattern with accurate meteorological context - - Bars have white edges and alpha=0.85 for visual definition + - Proper polar coordinate system implementation showing clear directional distribution + - Theme-adaptive design correctly applies light (#FAF8F1 background, dark ink) and + dark (#1A1A17 background, light ink) tokens in both renders + - Excellent text legibility in both themes with no contrast issues—all compass directions, + title, and axis labels clearly readable + - Clean, idiomatic lets_plot code using coord_polar and ggplot grammar patterns + effectively + - Correct Okabe-Ito palette integration with 8 direction colors, maintains color + consistency across themes + - Wind rose format effectively communicates frequency distribution with SW dominance + visually apparent + - White bar edges provide subtle definition without clutter weaknesses: - - 'Design Excellence is low: implementation is clean but lacks distinctive aesthetic - choices beyond the minimal theme' - - 'Library Mastery limited: uses core letsplot features correctly but doesn''t showcase - library-specific capabilities or advanced customization' - - 'Visual hierarchy is functional but not intentional: plot communicates data clearly - but doesn''t emphasize key patterns (SW dominance) through color, size, or position - emphasis' + - 'Design Excellence could be enhanced: grid styling is functional but could use + more sophisticated visual refinement (e.g., asymmetric line weights or selective + grid emphasis)' + - Visual hierarchy of dominant direction (SW=35) could be strengthened through size + emphasis, brightness variation, or strategic color placement to guide viewer attention image_description: |- Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) - matches spec exactly - Chrome: Title "polar-bar · letsplot · anyplot.ai" in dark INK color (#1A1A17); Y-axis labeled "Frequency (%)" in INK; tick labels (5, 10, 15, 20, 25, 30, 35) and direction labels (N, NE, E, SE, S, SW, W, NW) in INK_SOFT gray (#4A4A44). All text is clearly readable against light background. - Data: 8 bars radiating outward using Okabe-Ito colors in order: N (#009E73 green), NE (#D55E00 orange), E (#0072B2 blue), SE (#CC79A7 purple), S (#E69F00 gold), SW (#56B4E9 sky blue), W (#F0E442 yellow), NW (#1A1A1A dark neutral). Bars have white edges for definition. Grid circles are subtle but visible. Proportions correct: SW largest (35), S second (28), others smaller (3-12). - Legibility verdict: PASS - all elements visible, no light-on-light failures, excellent contrast + Background: Warm off-white (#FAF8F1) with subtle grid lines, correctly theme-adapted. + Chrome: Title "polar-bar · letsplot · anyplot.ai" is bold and prominent (24pt, dark text #1A1A17). Y-axis label "Frequency (%)" (20pt, dark text). Compass directions (N, NE, E, SE, S, SW, W, NW) positioned around circle are all readable at 16pt. All text has strong contrast. + Data: Bars radiate from center with Okabe-Ito palette colors. SW bar (freq=35) is prominent blue, S (freq=28) is yellow-gold, SE (freq=12) is magenta/purple. Smaller bars (freq=3-6) use remaining palette colors. White edges on bars provide clean definition. Colors are from Okabe-Ito palette as specified. + Legibility verdict: PASS - All text and data elements clearly distinguishable against light background. No light-on-light failures. Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) - matches spec exactly - Chrome: Title in light INK color (#F0EFE8); Y-axis label and tick labels in light INK_SOFT (#B8B7B0). All text is clearly readable against dark background with good contrast. - Data: Colors identical to light render (Okabe-Ito positions 1-7 constant). Neutral bar (NW) correctly adapts to #E8E8E0 (light off-white) for visibility. Grid circles remain subtle. No dark-on-dark failures - all text sufficiently light and all data bars sufficiently distinct. - Legibility verdict: PASS - no dark-on-dark failures, excellent theme adaptation, all elements readable + Background: Warm near-black (#1A1A17) with visible grid lines, correctly theme-adapted. + Chrome: Title clearly visible in light text (#F0EFE8). Y-axis label readable in same light tone. Compass directions have excellent contrast against dark background. All chrome elements use proper dark-theme tokens. + Data: Bar colors are identical to light render (data colors should not change with theme—only chrome flips). White bar edges remain visible and effective. Grid lines visible at appropriate contrast level. + Legibility verdict: PASS - No dark-on-dark failures. All text elements have strong contrast. Data visualization quality maintained perfectly between themes. Both renders demonstrate proper theme adaptation with only chrome elements changing color. criteria_checklist: visual_quality: score: 30 @@ -55,78 +55,77 @@ review: score: 8 max: 8 passed: true - comment: All text properly sized (24pt title, 20pt axis label, 16pt ticks). - Fully readable in both light and dark themes with theme-adaptive colors. + comment: Title, axis labels, and compass directions all readable in both renders + with proper contrast and sizing (24pt title, 20pt axis labels, 16pt ticks) - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: Direction labels positioned around circle perimeter. Data bars clearly - distinguishable. No text collisions. + comment: Compass directions spaced cleanly around circle, no text collisions, + radial bar arrangement prevents overlap - id: VQ-03 name: Element Visibility score: 6 max: 6 passed: true - comment: Even small bars (3-6 units) visible with alpha=0.85. White edges - on bars provide definition. No hidden or obscured elements. + comment: All bars visible from largest (SW=35) to smallest (N=3), white edges + provide definition, alpha=0.85 appropriate for density - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Okabe-Ito palette is CVD-safe (peer-reviewed). No problematic color - pairs. Colorblind-friendly throughout. + comment: Okabe-Ito palette is CVD-safe, good contrast between colors, no red-green-only + encoding - id: VQ-05 name: Layout & Canvas score: 4 max: 4 passed: true - comment: Canvas 1200x1200 base (3600x3600 final) appropriate for symmetric - polar plot. Grid proportionate, nothing cut off, generous whitespace. + comment: Square canvas (1200x1200) appropriate for polar chart, proportions + balanced, nothing cut off - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Title correct format. Y-axis labeled with units. Directions labeled - around perimeter. All labels descriptive. + comment: Title matches spec format, Y-axis label includes units (%), compass + directions descriptive, X-axis appropriately hidden - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series (N) uses #009E73 brand green. Okabe-Ito order 0-7. - Backgrounds #FAF8F1 (light) and #1A1A17 (dark). Neutral adapts correctly. - Both renders theme-correct.' + comment: 'Okabe-Ito palette correctly applied, backgrounds #FAF8F1 (light) + and #1A1A17 (dark) correct, data colors identical across themes, only chrome + adapts' design_excellence: - score: 10 + score: 14 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 4 + score: 6 max: 8 - passed: false - comment: Clean minimal aesthetic with theme_minimal() foundation. Adequate - execution of basics but lacks custom design touches or distinctive refinement - beyond defaults. + passed: true + comment: Professional use of Okabe-Ito palette with theme-aware styling, grid + is subtle, custom sizing for clarity. Could enhance with stronger visual + emphasis on dominant direction. - id: DE-02 name: Visual Refinement - score: 3 + score: 4 max: 6 - passed: false - comment: Theme_minimal() provides spines. Grid subtly styled (size=0.3). Some - refinement (bar edges) but mostly standard styling without extended customization. + passed: true + comment: Subtle grid, white bar edges, adequate whitespace, no spines (appropriate + for polar). Could refine grid styling further. - id: DE-03 name: Data Storytelling - score: 3 + score: 4 max: 6 - passed: false - comment: Effectively shows monsoon dominance (SW peak) but visual hierarchy - is functional rather than intentional. Color separates directions naturally - but no additional emphasis or focal-point design. + passed: true + comment: Polar wind rose format clearly shows directional frequency distribution + with SW dominance apparent. Could emphasize primary direction more visually. spec_compliance: score: 15 max: 15 @@ -136,29 +135,28 @@ review: score: 5 max: 5 passed: true - comment: Correct polar bar chart (wind rose). coord_polar() with appropriate - angular offset. + comment: Correct polar bar chart implementation with proper radial arrangement - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: All 8 compass directions shown, frequency as bar magnitude, bars - radiate outward, appropriate for meteorological data. + comment: All 8 compass directions present, frequency values correctly mapped, + appropriate for wind rose - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X maps to direction (categorical), Y to frequency (numeric). Axes - show full range. All categories represented. + comment: Direction → angle mapping correct, frequency → bar height correct, + all data points visible - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title correct format. Legend hidden (appropriate for wind rose with - perimeter labels). + comment: 'Title format correct: ''polar-bar · letsplot · anyplot.ai'', legend + appropriately disabled' data_quality: score: 15 max: 15 @@ -168,22 +166,22 @@ review: score: 6 max: 6 passed: true - comment: Full compass rose with 8 cardinal directions. Frequency range 3-35 - demonstrates plot-type versatility. + comment: Complete 8-direction wind rose with frequency distribution showing + all aspects of polar bar type - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Monsoon wind pattern (SW dominance, reduced N/E) is meteorologically - plausible and neutral. + comment: Monsoon wind pattern with SW dominance is realistic meteorological + data, neutral and professional - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Frequency values sensible for wind distribution. Good data range, - no outliers. + comment: Frequency range 0-35 is sensible, Y-axis scale appropriate, no extreme + outliers code_quality: score: 10 max: 10 @@ -193,62 +191,59 @@ review: score: 3 max: 3 passed: true - comment: No unnecessary functions or classes. Straightforward procedural code, - easy to read. + comment: Simple, direct ggplot chain with no unnecessary abstractions - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: Data hardcoded (deterministic), no random generation. Fully reproducible. + comment: Hardcoded data is deterministic, no random seeding needed - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only imports from lets_plot, numpy, pandas, os. All imports used. - No extraneous dependencies. + comment: Only necessary imports from lets_plot, numpy, pandas used appropriately - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: No fake UI or simulated interactivity. No AR-08 violations. Complexity - appropriate. + comment: Appropriate complexity, no fake functionality, idiomatic lets_plot + patterns - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot-{THEME}.png and .html. Theme-suffixed filenames. Current - letsplot API. + comment: Saves as plot-{THEME}.png and plot-{THEME}.html with current API library_mastery: - score: 5 + score: 8 max: 10 items: - id: LM-01 name: Idiomatic Usage - score: 4 + score: 5 max: 5 passed: true - comment: Uses idiomatic ggplot2/letsplot pattern. High-level API. coord_polar() - applied correctly. Theme customization functional but not sophisticated. + comment: Perfect ggplot grammar usage, coord_polar transformation, geom_bar + with stat='identity', scale_fill_manual, theme system integration - id: LM-02 name: Distinctive Features - score: 1 + score: 3 max: 5 - passed: false - comment: Standard use of letsplot features (ggsize, ggsave, theme system). - No distinctive library-specific techniques beyond plot requirements. + passed: true + comment: Leverages coord_polar and interactive HTML export (lets_plot strengths). + Competent but room for more advanced feature demonstration. verdict: APPROVED impl_tags: dependencies: [] techniques: - polar-projection + - html-export patterns: - data-generation dataprep: [] styling: - - alpha-blending - edge-highlighting - - grid-styling + - alpha-blending