From 08d17097b5a40a257ddcd9257738608edcce6e4b Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 15 May 2026 09:29:33 +0000 Subject: [PATCH 1/2] chore(plotnine): add metadata for circos-basic --- .../implementations/python/plotnine.py | 118 +++++---- .../metadata/python/plotnine.yaml | 230 ++---------------- 2 files changed, 72 insertions(+), 276 deletions(-) diff --git a/plots/circos-basic/implementations/python/plotnine.py b/plots/circos-basic/implementations/python/plotnine.py index a74690599f..7ba2073cbe 100644 --- a/plots/circos-basic/implementations/python/plotnine.py +++ b/plots/circos-basic/implementations/python/plotnine.py @@ -1,15 +1,18 @@ -""" pyplots.ai +"""anyplot.ai circos-basic: Circos Plot -Library: plotnine 0.15.2 | Python 3.13.11 -Quality: 91/100 | Created: 2025-12-31 +Library: plotnine | Python 3.13 +Quality: pending | Created: 2025-12-31 """ +import os + import numpy as np import pandas as pd from plotnine import ( aes, coord_fixed, element_blank, + element_rect, element_text, geom_path, geom_polygon, @@ -23,8 +26,23 @@ ) -# Data - Trade flows between world regions (bidirectional connections) -# Represents export relationships between major economic regions +# Theme tokens +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 palette (first series is always #009E73) +OKABE_ITO = [ + "#009E73", # bluish green (brand) + "#D55E00", # vermillion + "#0072B2", # blue + "#CC79A7", # reddish purple + "#E69F00", # orange + "#56B4E9", # sky blue +] + +# Data - Trade flows between world regions flows = [ ("Asia", "Europe", 85), ("Asia", "North America", 72), @@ -46,18 +64,13 @@ ("Africa", "Asia", 22), ] -# Get unique segments and assign colors +# Unique segments segments = list(dict.fromkeys([f[0] for f in flows] + [f[1] for f in flows])) -colors = { - "Asia": "#306998", # Python Blue - "Europe": "#FFD43B", # Python Yellow - "North America": "#2ECC71", # Green (more distinct from South America) - "South America": "#E67E22", # Orange (clearly different from North America) - "Middle East": "#E74C3C", # Red - "Africa": "#9B59B6", # Purple -} - -# Calculate total flow for each segment (incoming + outgoing) + +# Map segments to Okabe-Ito colors +colors = {seg: OKABE_ITO[i % len(OKABE_ITO)] for i, seg in enumerate(segments)} + +# Calculate total flow for each segment segment_totals = dict.fromkeys(segments, 0) for src, tgt, val in flows: segment_totals[src] += val @@ -65,14 +78,13 @@ total_flow = sum(segment_totals.values()) -# Calculate arc positions around the circle -gap_angle = 0.08 # Gap between segments in radians +# Calculate arc positions +gap_angle = 0.08 total_gap = gap_angle * len(segments) available_angle = 2 * np.pi - total_gap -# Assign angular positions to each segment (start at top) segment_arcs = {} -current_angle = -np.pi / 2 # Start at top +current_angle = -np.pi / 2 for segment in segments: arc_size = (segment_totals[segment] / total_flow) * available_angle segment_arcs[segment] = { @@ -86,10 +98,10 @@ outer_radius = 1.0 inner_radius = 0.92 chord_radius = 0.88 -track_outer = 0.82 # Inner track for additional data +track_outer = 0.82 track_inner = 0.72 -# Build outer arc segments (the ring around the circle) +# Build outer arc segments arc_data = [] n_arc_points = 80 arc_id = 0 @@ -97,7 +109,6 @@ arc = segment_arcs[segment] angles = np.linspace(arc["start"], arc["end"], n_arc_points) - # Outer edge for angle in angles: arc_data.append( { @@ -107,7 +118,6 @@ "arc_id": f"arc_{arc_id}", } ) - # Inner edge (reversed to close polygon) for angle in reversed(angles): arc_data.append( { @@ -121,8 +131,7 @@ arc_df = pd.DataFrame(arc_data) -# Build inner data track (concentric ring showing segment "weight") -# This represents additional data layer as mentioned in spec +# Build inner data track track_data = [] track_id = 0 for segment in segments: @@ -151,40 +160,36 @@ track_df = pd.DataFrame(track_data) -# Track offsets within each segment for chord placement +# Track segment offsets for chord placement segment_offsets = {s: segment_arcs[s]["start"] for s in segments} -# Build ribbon/chord polygons connecting segments +# Build ribbon/chord polygons chord_data = [] chord_id = 0 n_bezier = 50 for src, tgt, val in flows: - # Calculate angular width for this connection src_width = (val / total_flow) * available_angle * 0.5 tgt_width = (val / total_flow) * available_angle * 0.5 - # Source arc segment position src_start = segment_offsets[src] src_end = src_start + src_width segment_offsets[src] = src_end + 0.005 - # Target arc segment position tgt_start = segment_offsets[tgt] tgt_end = tgt_start + tgt_width segment_offsets[tgt] = tgt_end + 0.005 - # Build chord polygon with bezier curves polygon_x = [] polygon_y = [] - # Source arc (at chord_radius) + # Source arc src_angles = np.linspace(src_start, src_end, 15) for angle in src_angles: polygon_x.append(chord_radius * np.cos(angle)) polygon_y.append(chord_radius * np.sin(angle)) - # Bezier curve from source end to target start + # Bezier from source to target src_end_x = chord_radius * np.cos(src_end) src_end_y = chord_radius * np.sin(src_end) tgt_start_x = chord_radius * np.cos(tgt_start) @@ -192,19 +197,18 @@ for i in range(1, n_bezier): t = i / n_bezier - # Quadratic bezier through origin for smooth ribbon x = (1 - t) ** 2 * src_end_x + 2 * (1 - t) * t * 0 + t**2 * tgt_start_x y = (1 - t) ** 2 * src_end_y + 2 * (1 - t) * t * 0 + t**2 * tgt_start_y polygon_x.append(x) polygon_y.append(y) - # Target arc (at chord_radius) + # Target arc tgt_angles = np.linspace(tgt_start, tgt_end, 15) for angle in tgt_angles: polygon_x.append(chord_radius * np.cos(angle)) polygon_y.append(chord_radius * np.sin(angle)) - # Bezier curve back from target end to source start + # Bezier back from target to source tgt_end_x = chord_radius * np.cos(tgt_end) tgt_end_y = chord_radius * np.sin(tgt_end) src_start_x = chord_radius * np.cos(src_start) @@ -217,7 +221,6 @@ polygon_x.append(x) polygon_y.append(y) - # Add to dataframe for x, y in zip(polygon_x, polygon_y, strict=False): chord_data.append({"x": x, "y": y, "chord_id": f"chord_{chord_id}", "source": src, "target": tgt, "value": val}) @@ -225,7 +228,7 @@ chord_df = pd.DataFrame(chord_data) -# Create segment labels positioned outside the ring +# Segment labels label_data = [] label_radius = 1.15 for segment in segments: @@ -242,7 +245,7 @@ label_df = pd.DataFrame(label_data) -# Create circular gridlines for visual reference +# Circular gridlines grid_rows = [] for radius in [0.5, 0.7]: grid_angles = np.linspace(0, 2 * np.pi, 100) @@ -254,32 +257,25 @@ # Build the circos plot plot = ( ggplot() - # Background gridlines (subtle circular references) - + geom_path(aes(x="x", y="y", group="radius"), data=grid_df, color="#EEEEEE", size=0.3, alpha=0.5) - # Ribbons/chords connecting segments (drawn first, behind arcs) + + geom_path(aes(x="x", y="y", group="radius"), data=grid_df, color=INK_SOFT, size=0.3, alpha=0.15) + geom_polygon( - aes(x="x", y="y", group="chord_id", fill="source"), data=chord_df, alpha=0.5, color="white", size=0.15 + aes(x="x", y="y", group="chord_id", fill="source"), data=chord_df, alpha=0.5, color=PAGE_BG, size=0.15 ) - # Inner data track (concentric ring) + geom_polygon( - aes(x="x", y="y", group="track_id", fill="segment"), data=track_df, alpha=0.4, color="white", size=0.3 + aes(x="x", y="y", group="track_id", fill="segment"), data=track_df, alpha=0.4, color=PAGE_BG, size=0.3 ) - # Outer arc segments (the main circular ring) - + geom_polygon(aes(x="x", y="y", group="arc_id", fill="segment"), data=arc_df, alpha=0.95, color="white", size=0.8) - # Segment labels - + geom_text(aes(x="x", y="y", label="label"), data=label_df, size=14, color="#2C3E50", fontweight="bold") - # Color scale + + geom_polygon(aes(x="x", y="y", group="arc_id", fill="segment"), data=arc_df, alpha=0.95, color=PAGE_BG, size=0.8) + + geom_text(aes(x="x", y="y", label="label"), data=label_df, size=14, color=INK, fontweight="bold") + scale_fill_manual(values=colors, name="Region") - # Equal aspect ratio for proper circles + coord_fixed(ratio=1) + scale_x_continuous(limits=(-1.6, 1.6), expand=(0, 0)) + scale_y_continuous(limits=(-1.5, 1.6), expand=(0, 0)) - # Title - + labs(title="circos-basic · plotnine · pyplots.ai") - # Clean theme for circular plot + + labs(title="circos-basic · plotnine · anyplot.ai") + theme( figure_size=(12, 12), - plot_title=element_text(size=24, ha="center", fontweight="bold", margin={"b": 20}), + plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG), + plot_title=element_text(size=24, ha="center", fontweight="bold", margin={"b": 20}, color=INK), plot_margin=0.08, axis_title=element_blank(), axis_text=element_blank(), @@ -287,13 +283,11 @@ axis_line=element_blank(), panel_grid_major=element_blank(), panel_grid_minor=element_blank(), - panel_background=element_blank(), - plot_background=element_blank(), - legend_title=element_text(size=16), - legend_text=element_text(size=14), + legend_title=element_text(size=16, color=INK), + legend_text=element_text(size=14, color=INK_SOFT), legend_position="right", ) ) -# Save as PNG (3600x3600 px at 300 dpi = 12x12 inches) -plot.save("plot.png", dpi=300) +# Save +plot.save(f"plot-{THEME}.png", dpi=300) diff --git a/plots/circos-basic/metadata/python/plotnine.yaml b/plots/circos-basic/metadata/python/plotnine.yaml index 7e7986ba68..b8d7992ff4 100644 --- a/plots/circos-basic/metadata/python/plotnine.yaml +++ b/plots/circos-basic/metadata/python/plotnine.yaml @@ -1,219 +1,21 @@ +# Per-library metadata for plotnine implementation of circos-basic +# Auto-generated by impl-generate.yml + library: plotnine +language: python specification_id: circos-basic created: '2025-12-31T21:36:00Z' -updated: '2025-12-31T21:44:46Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20627531900 +updated: '2026-05-15T09:29:33Z' +generated_by: claude-haiku +workflow_run: 25910522709 issue: 3005 -python_version: 3.13.11 -library_version: 0.15.2 -preview_url: https://storage.googleapis.com/anyplot-images/plots/circos-basic/plotnine/plot.png -preview_html: null -quality_score: 91 -impl_tags: - dependencies: [] - techniques: - - bezier-curves - patterns: - - matrix-construction - - iteration-over-groups - dataprep: [] - styling: - - alpha-blending +python_version: 3.13.13 +library_version: 0.15.4 +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/circos-basic/python/plotnine/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/circos-basic/python/plotnine/plot-dark.png +preview_html_light: null +preview_html_dark: null +quality_score: null review: - strengths: - - Excellent implementation of a complex circos plot using only plotnine native grammar - of graphics, without falling back to matplotlib - - Beautiful color palette with 6 distinct, colorblind-accessible colors for regions - - Proper chord/ribbon geometry with Bezier curves connecting segments through center - - Clean, well-organized code with clear data structures for segments, arcs, chords, - and tracks - - Realistic trade flow scenario with meaningful bidirectional connections between - world regions - - Includes inner data track as specified, adding visual depth - weaknesses: - - Inner data track shows the same data as outer ring (segment totals) rather than - different attribute data - - Some chord ribbons are quite thin and could be more visible - - Slight layout imbalance with more empty space at bottom of canvas - image_description: 'The plot shows a circos/chord diagram visualizing trade flows - between 6 world regions: Europe (yellow), North America (green), South America - (orange), Middle East (red), Africa (purple), and Asia (blue). The circular layout - has an outer ring showing each region as a colored arc segment, with segment sizes - proportional to total trade volume. An inner concentric track (lighter shading) - provides an additional data layer. Ribbons/chords connect regions through the - center, with ribbon width proportional to trade flow values. The title "circos-basic - · plotnine · pyplots.ai" appears at the top. Region labels are positioned outside - the ring in bold dark text. A legend on the right shows the color mapping for - each region.' - 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 clear (24pt), region labels are bold and readable, - legend text is appropriately sized. Slightly deducted as some labels could - be slightly larger. - - id: VQ-02 - name: No Overlap - score: 8 - max: 8 - passed: true - comment: No overlapping text elements; labels are well-positioned outside - the ring - - id: VQ-03 - name: Element Visibility - score: 7 - max: 8 - passed: true - comment: Ribbons are visible with good alpha (0.5), arcs are clear. Some thinner - ribbons could be slightly more prominent. - - id: VQ-04 - name: Color Accessibility - score: 5 - max: 5 - passed: true - comment: Six distinct colors (blue, yellow, green, orange, red, purple) with - good contrast, avoiding problematic red-green only distinctions - - id: VQ-05 - name: Layout Balance - score: 4 - max: 5 - passed: true - comment: Good use of canvas, plot is centered with legend on right. Slight - imbalance with more whitespace on bottom. - - id: VQ-06 - name: Axis Labels - score: 2 - max: 2 - passed: true - comment: N/A for circular plot (no axes), but region labels serve this purpose - well - - id: VQ-07 - name: Grid & Legend - score: 1 - max: 2 - passed: true - comment: Legend is well-placed; subtle grid circles present but minimal - spec_compliance: - score: 24 - max: 25 - items: - - id: SC-01 - name: Plot Type - score: 8 - max: 8 - passed: true - comment: Correct circos/chord diagram with circular layout, segments, and - connecting ribbons - - id: SC-02 - name: Data Mapping - score: 5 - max: 5 - passed: true - comment: Source/target correctly mapped to chord connections, values determine - ribbon width - - id: SC-03 - name: Required Features - score: 4 - max: 5 - passed: true - comment: 'Has outer ring, ribbons/chords, distinct segment colors, and inner - data track. Gap separation present. Minor: segment_size shown via flow totals - rather than explicit sizing.' - - id: SC-04 - name: Data Range - score: 3 - max: 3 - passed: true - comment: All 6 regions displayed, all 18 connections visible - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: Legend correctly shows all 6 regions with accurate color mapping - - id: SC-06 - name: Title Format - score: 2 - max: 2 - passed: true - comment: 'Correct format: "circos-basic · plotnine · pyplots.ai"' - data_quality: - score: 18 - max: 20 - items: - - id: DQ-01 - name: Feature Coverage - score: 7 - max: 8 - passed: true - comment: Shows bidirectional flows, varying connection strengths, multiple - regions. Could show more variation in inner track data. - - id: DQ-02 - name: Realistic Context - score: 7 - max: 7 - passed: true - comment: Trade flows between world regions is an excellent, realistic, neutral - scenario - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 5 - passed: true - comment: Trade values (18-85) represent plausible relative magnitudes, though - units not specified - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: 'Linear flow: imports → data → calculations → plot → save' - - id: CQ-02 - name: Reproducibility - score: 3 - max: 3 - passed: true - comment: Deterministic data (hardcoded flow values, no random generation) - - 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: 3 - max: 5 - items: - - id: LF-01 - name: Uses distinctive library features - score: 3 - max: 5 - passed: true - comment: Good use of ggplot grammar with geom_polygon, geom_path, geom_text, - scale_fill_manual, and comprehensive theming. However, this is a creative - workaround since plotnine doesn't have native circos support - the implementation - builds the circular geometry manually using standard geoms. - verdict: APPROVED + strengths: [] + weaknesses: [] From 0312f258b23169f21ad31191563d075db7a381b2 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 15 May 2026 09:33:13 +0000 Subject: [PATCH 2/2] chore(plotnine): update quality score 90 and review feedback for circos-basic --- .../implementations/python/plotnine.py | 6 +- .../metadata/python/plotnine.yaml | 255 +++++++++++++++++- 2 files changed, 251 insertions(+), 10 deletions(-) diff --git a/plots/circos-basic/implementations/python/plotnine.py b/plots/circos-basic/implementations/python/plotnine.py index 7ba2073cbe..ed53988522 100644 --- a/plots/circos-basic/implementations/python/plotnine.py +++ b/plots/circos-basic/implementations/python/plotnine.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai circos-basic: Circos Plot -Library: plotnine | Python 3.13 -Quality: pending | Created: 2025-12-31 +Library: plotnine 0.15.4 | Python 3.13.13 +Quality: 90/100 | Updated: 2026-05-15 """ import os diff --git a/plots/circos-basic/metadata/python/plotnine.yaml b/plots/circos-basic/metadata/python/plotnine.yaml index b8d7992ff4..fd22a626e0 100644 --- a/plots/circos-basic/metadata/python/plotnine.yaml +++ b/plots/circos-basic/metadata/python/plotnine.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for plotnine implementation of circos-basic -# Auto-generated by impl-generate.yml - library: plotnine language: python specification_id: circos-basic created: '2025-12-31T21:36:00Z' -updated: '2026-05-15T09:29:33Z' +updated: '2026-05-15T09:33:12Z' generated_by: claude-haiku workflow_run: 25910522709 issue: 3005 @@ -15,7 +12,251 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/circos-ba preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/circos-basic/python/plotnine/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: null +quality_score: 90 review: - strengths: [] - weaknesses: [] + strengths: + - 'Perfect visual quality: all text explicitly sized (title 24pt, labels 14pt, legend + 16pt/14pt) and readable in both light and dark themes' + - 'Excellent theme-adaptive implementation: proper chrome flipping between themes + while maintaining identical data colors (#009E73 brand green and Okabe-Ito palette + consistent across renders)' + - 'Clean code structure following KISS principle: linear flow from imports to data + construction to plot creation to save with no over-engineering' + - 'Proper palette compliance: first segment correctly uses brand green (#009E73), + all colors follow Okabe-Ito order, backgrounds correct (#FAF8F1 light, #1A1A17 + dark)' + - 'Realistic and neutral data context: world trade flows between recognizable regions + with plausible proportions and values' + - 'All specification requirements met: correct circos plot type with segments, ribbons, + tracks, and proper legend' + - 'Strong visual hierarchy and clear data storytelling: ribbon width encodes magnitude, + color by source aids identification, visual relationships guide viewer' + weaknesses: + - 'Library mastery: Implementation uses generic plotnine geoms (polygon, path, text) + rather than distinctive library features; most sophistication is in manual data + geometry construction, not plotnine-specific patterns' + - 'Design excellence moderate: While functional and professional, lacks exceptional + aesthetic polish or custom visual refinements beyond well-configured defaults' + - 'Data storytelling could be strengthened: No additional emphasis techniques to + highlight key trade corridors or regional clusters; viewer sees relationships + but no guided insight interpretation' + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (#FAF8F1) - correct for light theme + Chrome: Title "circos-basic · plotnine · anyplot.ai" in dark text (24pt, bold); region labels around circle (14pt, bold); legend on right (16pt title, 14pt text) - all clearly readable against light background + Data: Outer ring segments colored by region using Okabe-Ito palette (green/orange/blue/purple/yellow/sky-blue); semi-transparent ribbons show trade flows with proportional widths (alpha 0.5); inner tracks visible (alpha 0.4); subtle circular gridlines (alpha 0.15) + Color check: First segment (Asia) uses #009E73 (brand green); remaining colors follow Okabe-Ito order + Legibility verdict: PASS - all text readable, no legibility issues + + Dark render (plot-dark.png): + Background: Warm near-black (#1A1A17) - correct for dark theme + Chrome: Title and region labels in light text (#F0EFE8); legend box has elevated background (#242420) with light text - all clearly readable against dark background; no dark-on-dark failures + Data: Identical data colors to light render (only chrome adapted) - confirms proper theme implementation; segments, ribbons, tracks, gridlines all clearly visible + Color check: Segment colors identical to light render; only background, text, and legend box colors have flipped to dark theme + Legibility verdict: PASS - all text readable, theme adaptation perfect, no contrast issues + criteria_checklist: + visual_quality: + score: 30 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 8 + passed: true + comment: 'All fonts explicitly sized: title 24pt bold, region labels 14pt + bold, legend title 16pt, legend text 14pt; perfectly readable in both light + and dark themes' + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No overlapping text; region labels well-spaced around circle; legend + isolated on right side + - id: VQ-03 + name: Element Visibility + score: 6 + max: 6 + passed: true + comment: Ribbons clearly visible with widths proportional to values; segments + distinct and well-sized; inner tracks visible with appropriate alpha + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Okabe-Ito palette is colorblind-safe; alpha blending (0.5 ribbons, + 0.4 tracks, 0.15 grid) maintains good contrast; no red-green as sole signal + - id: VQ-05 + name: Layout & Canvas + score: 4 + max: 4 + passed: true + comment: Figure size 12×12 appropriate for circular plot; plot fills 50-70% + of canvas; well-balanced margins; no cut-off or wasted space + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: 'Title format correct: ''circos-basic · plotnine · anyplot.ai''; + region labels serve as descriptive positioning labels' + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First segment uses #009E73 brand green; all colors follow Okabe-Ito + order; background correct (#FAF8F1 light, #1A1A17 dark); chrome properly + theme-adapted; data colors identical across themes' + design_excellence: + score: 13 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 5 + max: 8 + passed: false + comment: Professional layout with thoughtful alpha transparency values (0.5, + 0.4, 0.15); intentional visual hierarchy; elegant but relatively standard + for circos plot type + - id: DE-02 + name: Visual Refinement + score: 4 + max: 6 + passed: false + comment: Subtle grid (alpha 0.15), clean spacing, generous whitespace, no + axis clutter; good refinement but without exceptional polish + - id: DE-03 + name: Data Storytelling + score: 4 + max: 6 + passed: false + comment: Circos effectively conveys trade flows; ribbon width encodes magnitude; + color by source aids identification; visual relationships and hierarchy + guide viewer + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Correct circos plot type with all expected components + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: 'All present: segments with gaps, proportional ribbon widths, distinct + colors, concentric tracks' + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: Source/target map to ribbon endpoints; value maps to width; segment + size maps to arc size + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title format correct; legend properly labeled with all region names + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: Shows full range of trade flows from weak to strong; all regions + represented; inner track demonstrates multi-layer capability + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Real-world trade flows between recognizable regions; plausible values; + neutral, non-controversial + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Trade values appropriate (85, 72, 45, etc.); proportions realistic; + no impossibilities + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Linear flow: imports → data → geometry construction → plot → save; + no functions or classes' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Hardcoded deterministic data; fully reproducible + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: 'Only used imports: os, numpy, pandas, plotnine components' + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Clean and well-structured; appropriate complexity; no fake functionality + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: 'Correct format: plot-{THEME}.png; DPI 300; current API' + library_mastery: + score: 7 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 5 + max: 5 + passed: true + comment: 'Expert ggplot grammar: ggplot() + geom_*() + theme(); proper aes() + mapping; coord_fixed() for aspect; scale_fill_manual() for colors' + - id: LM-02 + name: Distinctive Features + score: 2 + max: 5 + passed: false + comment: Uses Bezier curves and manual geometry construction, but this is + custom data work rather than library-specific features; geoms are generic + (polygon, path, text) + verdict: APPROVED +impl_tags: + dependencies: [] + techniques: + - bezier-curves + - layer-composition + patterns: + - data-generation + - matrix-construction + - iteration-over-groups + dataprep: [] + styling: + - alpha-blending + - minimal-chrome