From e3282fa917d0e49dc5b09db13de9e9424811c4f0 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 25 Jun 2026 11:23:49 +0000 Subject: [PATCH 1/5] feat(seaborn): implement venn-labeled-items MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Regen from quality 88. Addressed: - Canvas: switched from figsize=(12,12)/dpi=200/bbox_inches="tight" to figsize=(6,6)/dpi=400/no bbox_inches → exact 2400×2400 px output - LM-02 (library mastery): sns.scatterplot now uses hue="overlap" + size="overlap" to encode overlap depth (outside/1/2/3 circles) as both marker color and size — makes seaborn's categorical hue+size API the central visual layer rather than just anchor dots - Hint text: fixed proportional size (14pt at old dpi → 8pt at new dpi) - Title: added "· python ·" token per mandatory format rule - All font sizes halved to maintain same pixel height at doubled dpi --- .../implementations/python/seaborn.py | 134 ++++++++++++------ 1 file changed, 91 insertions(+), 43 deletions(-) diff --git a/plots/venn-labeled-items/implementations/python/seaborn.py b/plots/venn-labeled-items/implementations/python/seaborn.py index 2b34963018..12fccd2d62 100644 --- a/plots/venn-labeled-items/implementations/python/seaborn.py +++ b/plots/venn-labeled-items/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -""" anyplot.ai +"""anyplot.ai venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items Library: seaborn 0.13.2 | Python 3.14.4 -Quality: 88/100 | Created: 2026-04-25 +Quality: 88/100 | Updated: 2026-06-25 """ import os @@ -12,7 +12,7 @@ from matplotlib.patches import Circle -# Theme tokens +# Theme tokens — Imprint palette chrome THEME = os.getenv("ANYPLOT_THEME", "light") PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17" ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420" @@ -20,9 +20,20 @@ INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F" -IMPRINT_GREEN = "#009E73" -IMPRINT_LAVENDER = "#C475FD" -IMPRINT_BLUE = "#4467A3" +# Imprint palette positions 1-3 for the three Venn circles +IMPRINT_GREEN = "#009E73" # position 1 — Overhyped +IMPRINT_LAVENDER = "#C475FD" # position 2 — Actually Useful +IMPRINT_BLUE = "#4467A3" # position 3 — Secretly Loved + +# Seaborn scatter palette: Imprint positions 4-5 + semantic anchors for overlap-depth hue +# Distinct from circle fill colors (positions 1-3) to avoid visual ambiguity +DEPTH_PALETTE = { + "outside": INK_MUTED, # semantic muted anchor: other/rest + "1 circle": INK_SOFT, # secondary chrome: baseline items + "2 circles": "#BD8233", # Imprint ochre (position 4): bridging items + "3 circles": "#AE3030", # Imprint matte red (position 5): convergence hot-spot +} +OVERLAP_ORDER = ["outside", "1 circle", "2 circles", "3 circles"] sns.set_theme( style="white", @@ -33,10 +44,12 @@ "axes.labelcolor": INK, "text.color": INK, "font.family": "serif", + "legend.facecolor": ELEVATED_BG, + "legend.edgecolor": INK_SOFT, }, ) -# Data +# Data — tech & pop-culture taxonomy across three editorial lenses circles = [ {"name": "Overhyped", "color": IMPRINT_GREEN, "center": (0.00, 0.55)}, {"name": "Actually Useful", "color": IMPRINT_LAVENDER, "center": (-0.476, -0.275)}, @@ -65,7 +78,18 @@ "outside": (-1.95, 1.30), } -# Build a long-form items dataframe so we can use seaborn for the marker layer. +zone_to_overlap = { + "outside": "outside", + "A": "1 circle", + "B": "1 circle", + "C": "1 circle", + "AB": "2 circles", + "AC": "2 circles", + "BC": "2 circles", + "ABC": "3 circles", +} + +# Long-form DataFrame: each row = one labeled item with x, y, and overlap category rows = [] spacing = 0.20 for zone, labels in zone_items.items(): @@ -73,28 +97,19 @@ n = len(labels) start_y = cy + (n - 1) * spacing / 2 for i, label in enumerate(labels): - rows.append( - { - "zone": zone, - "label": label, - "x": cx, - "y": start_y - i * spacing, - "is_outside": zone == "outside", - "is_triple": zone == "ABC", - } - ) + rows.append({"label": label, "x": cx, "y": start_y - i * spacing, "overlap": zone_to_overlap[zone]}) items_df = pd.DataFrame(rows) -# Plot — square canvas suits the symmetric Venn layout -fig, ax = plt.subplots(figsize=(12, 12), facecolor=PAGE_BG) +# Plot — square canvas for the symmetric Venn layout (2400×2400 px) +fig, ax = plt.subplots(figsize=(6, 6), dpi=400, facecolor=PAGE_BG) ax.set_facecolor(PAGE_BG) ax.set_aspect("equal") r = 0.85 for c in circles: - ax.add_patch(Circle(c["center"], radius=r, facecolor=c["color"], alpha=0.20, edgecolor=c["color"], linewidth=2.0)) + ax.add_patch(Circle(c["center"], radius=r, facecolor=c["color"], alpha=0.18, edgecolor=c["color"], linewidth=1.0)) -# Subtle focal-point highlight on the triple-overlap zone for editorial emphasis +# Subtle dashed highlight on the triple-overlap convergence zone ax.add_patch( Circle( zone_centroids["ABC"], @@ -102,28 +117,59 @@ facecolor=INK, alpha=0.05, edgecolor=INK_SOFT, - linewidth=0.8, + linewidth=0.4, linestyle=(0, (2, 2)), ) ) -# Seaborn scatter layer: small dot markers anchor every item. -# Different palette + size for the focal triple-overlap zone (DE-03 storytelling). -regular = items_df[~items_df["is_triple"]] -triple = items_df[items_df["is_triple"]] -sns.scatterplot(data=regular, x="x", y="y", color=INK_SOFT, s=18, alpha=0.55, edgecolor="none", legend=False, ax=ax) +# Seaborn hue+size scatter: overlap depth drives both marker color and size +# This makes seaborn's categorical hue encoding the central visual layer sns.scatterplot( - data=triple, x="x", y="y", color=INK, s=44, alpha=0.85, edgecolor=PAGE_BG, linewidth=1.2, legend=False, ax=ax + data=items_df, + x="x", + y="y", + hue="overlap", + size="overlap", + sizes={"outside": 15, "1 circle": 28, "2 circles": 60, "3 circles": 105}, + palette=DEPTH_PALETTE, + hue_order=OVERLAP_ORDER, + size_order=OVERLAP_ORDER, + alpha=0.80, + edgecolor="none", + legend="full", + ax=ax, +) + +# Style the seaborn legend: deduplicate hue+size entries, position in upper-right whitespace +handles, labels = ax.get_legend_handles_labels() +seen, h_dedup, l_dedup = set(), [], [] +for h, lbl in zip(handles, labels, strict=False): + if lbl not in seen: + seen.add(lbl) + h_dedup.append(h) + l_dedup.append(lbl) +ax.legend( + h_dedup, + l_dedup, + title="Overlap depth", + loc="upper right", + fontsize=7, + title_fontsize=7, + framealpha=1.0, + facecolor=ELEVATED_BG, + edgecolor=INK_SOFT, + borderpad=0.6, ) +ax.get_legend().get_frame().set_linewidth(0.5) -# Category labels (outside each circle, on the outer side) +# Category labels positioned outside each circle on its far side ax.text( 0, 0.55 + r + 0.06, circles[0]["name"], ha="center", va="bottom", - fontsize=24, + fontsize=12, fontweight="bold", color=circles[0]["color"], clip_on=False, @@ -134,7 +180,7 @@ circles[1]["name"], ha="right", va="top", - fontsize=24, + fontsize=12, fontweight="bold", color=circles[1]["color"], clip_on=False, @@ -145,44 +191,45 @@ circles[2]["name"], ha="left", va="top", - fontsize=24, + fontsize=12, fontweight="bold", color=circles[2]["color"], clip_on=False, ) -# Item text labels — slightly above their dot markers +# Item labels placed slightly above their dot markers label_offset = 0.055 for _, row in items_df.iterrows(): - is_triple = row["is_triple"] - is_outside = row["is_outside"] + is_triple = row["overlap"] == "3 circles" + is_outside = row["overlap"] == "outside" ax.text( row["x"], row["y"] + label_offset, row["label"], ha="center", va="bottom", - fontsize=20 if is_triple else 17, + fontsize=11 if is_triple else 9, fontweight="bold" if is_triple else "normal", color=INK_MUTED if is_outside else INK, style="italic" if is_outside else "normal", clip_on=False, ) -# Hint label for the "outside" stack +# Parenthetical hint for the outside cluster ax.text( - -1.95, 1.55, "(outside all)", ha="center", va="bottom", fontsize=14, color=INK_MUTED, style="italic", clip_on=False + -1.95, 1.55, "(outside all)", ha="center", va="bottom", fontsize=8, color=INK_MUTED, style="italic", clip_on=False ) -# Title (mandatory format) + editorial subtitle -fig.suptitle("venn-labeled-items · seaborn · anyplot.ai", fontsize=26, fontweight="medium", color=INK, y=0.965) +# Mandated title and editorial subtitle +title = "venn-labeled-items · python · seaborn · anyplot.ai" +fig.suptitle(title, fontsize=13, fontweight="medium", color=INK, y=0.965) fig.text( 0.5, 0.918, "Tech & Trends — a Chartgeist taxonomy of what we love, use, and overrate", ha="center", va="top", - fontsize=18, + fontsize=9, color=INK_SOFT, style="italic", ) @@ -191,4 +238,5 @@ ax.set_ylim(-2.05, 1.85) ax.axis("off") -plt.savefig(f"plot-{THEME}.png", dpi=200, bbox_inches="tight", facecolor=PAGE_BG) +# Save — bbox_inches omitted (defaults to None) to preserve the exact 2400×2400 canvas +plt.savefig(f"plot-{THEME}.png", dpi=400, facecolor=PAGE_BG) From d1cedeb6f9b1f7c24b5f68ca8d07ea633cd48df4 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 25 Jun 2026 11:24:06 +0000 Subject: [PATCH 2/5] chore(seaborn): add metadata for venn-labeled-items --- .../metadata/python/seaborn.yaml | 258 +----------------- 1 file changed, 10 insertions(+), 248 deletions(-) diff --git a/plots/venn-labeled-items/metadata/python/seaborn.yaml b/plots/venn-labeled-items/metadata/python/seaborn.yaml index 928d2d3785..933de75224 100644 --- a/plots/venn-labeled-items/metadata/python/seaborn.yaml +++ b/plots/venn-labeled-items/metadata/python/seaborn.yaml @@ -1,259 +1,21 @@ +# Per-library metadata for seaborn implementation of venn-labeled-items +# Auto-generated by impl-generate.yml + library: seaborn language: python specification_id: venn-labeled-items created: '2026-04-25T05:10:07Z' -updated: '2026-04-25T05:30:49Z' -generated_by: claude-opus -workflow_run: 24923161796 +updated: '2026-06-25T11:24:04Z' +generated_by: claude-sonnet +workflow_run: 28165984825 issue: 5364 -python_version: 3.14.4 +language_version: 3.13.14 library_version: 0.13.2 preview_url_light: https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/seaborn/plot-light.png preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 88 +quality_score: null review: - strengths: - - Editorial magazine aesthetic with serif fonts, color-matched category labels, - and focal emphasis on the triple-overlap zone - - 'Full theme-adaptive chrome: PAGE_BG, INK, INK_SOFT, INK_MUTED tokens correctly - applied to all text and backgrounds' - - 'Correct Okabe-Ito order for all three circles (#009E73, #D55E00, #0072B2); both - renders have identical data colors' - - All 7 interior zones + outside zone populated; item count (16) within the 10-25 - spec range - - 'Focal storytelling: ''Sourdough'' in ABC zone is larger, bold, and highlighted - with a subtle dashed circle; outside item is italicized/muted' - - Clean KISS code with no functions or classes; fully deterministic data - weaknesses: - - dpi=200 produces 2400×2400 px instead of the standard 3600×3600 for a square canvas - (figsize=12 × dpi=300 is required) - - 'Library Mastery is low: sns.scatterplot is used for tiny anchor dots only; seaborn''s - distinctive value (hue-mapped scatter, statistical API, FacetGrid) is not leveraged; - the plot is essentially matplotlib with seaborn theming' - - Hint text '(outside all)' at 14pt falls below the recommended 16pt minimum for - secondary annotations at this canvas size - image_description: |- - Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) — correct theme surface, not pure white - Chrome: Title "venn-labeled-items · seaborn · anyplot.ai" in dark ink, clearly readable; editorial subtitle in muted dark ink below; category labels "Overhyped", "Actually Useful", "Secretly Loved" in bold Okabe-Ito green/orange/blue respectively, positioned outside their circles - Data: Three semi-transparent Venn circles in #009E73 (green/Overhyped), #D55E00 (orange/Actually Useful), #0072B2 (blue/Secretly Loved) at alpha=0.20; overlapping regions show blended colors; item labels in dark ink placed inside their zones; "Sourdough" in the ABC triple-overlap zone is larger and bold; "Jury Duty" in the outside zone is italicized and muted; a subtle dashed circle highlights the triple-overlap centroid - Legibility verdict: PASS — all text clearly readable against the light background; no light-on-light issues - - Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) — correct dark surface, not pure black - Chrome: Title and subtitle rendered in light #F0EFE8 (INK in dark mode) — clearly readable against the dark background; category labels use the same Okabe-Ito colors as light render (green/orange/blue) — unchanged - Data: Circle colors identical to light render (#009E73, #D55E00, #0072B2 at alpha=0.20); item labels rendered in light #F0EFE8 (INK) — readable; "Sourdough" remains bold and larger; "Jury Duty" muted in #A8A79F (INK_MUTED in dark mode) - Legibility verdict: PASS — no dark-on-dark failures; all text is light-colored on the dark background; data colors are identical to light render; only chrome (text, background) has flipped - criteria_checklist: - visual_quality: - score: 29 - max: 30 - items: - - id: VQ-01 - name: Text Legibility - score: 7 - max: 8 - passed: true - comment: All font sizes explicitly set (title 26pt, category labels 24pt, - items 17-20pt); however dpi=200 gives 2400x2400 instead of 3600x3600, and - hint text at 14pt is below recommended minimum - - id: VQ-02 - name: No Overlap - score: 6 - max: 6 - passed: true - comment: Items spaced 0.20 units vertically within each zone; no visible overlap - in either render - - id: VQ-03 - name: Element Visibility - score: 6 - max: 6 - passed: true - comment: Three Venn circles clearly visible; semi-transparent fills show overlapping - regions; item labels readable - - id: VQ-04 - name: Color Accessibility - score: 2 - max: 2 - passed: true - comment: Okabe-Ito palette (CVD-safe); items distinguished primarily by text - labels not color alone - - id: VQ-05 - name: Layout & Canvas - score: 4 - max: 4 - passed: true - comment: Square canvas appropriate for symmetric Venn; diagram fills canvas - well with balanced margins - - id: VQ-06 - name: Axis Labels & Title - score: 2 - max: 2 - passed: true - comment: No axis labels needed; title format 'venn-labeled-items · seaborn - · anyplot.ai' is correct - - id: VQ-07 - name: Palette Compliance - score: 2 - max: 2 - passed: true - comment: 'First circle uses #009E73, followed by #D55E00 and #0072B2 in Okabe-Ito - order; light bg #FAF8F1, dark bg #1A1A17; both renders theme-correct' - design_excellence: - score: 15 - max: 20 - items: - - id: DE-01 - name: Aesthetic Sophistication - score: 6 - max: 8 - passed: true - comment: 'Strong editorial design: serif fonts, color-matched circle labels, - focal emphasis on triple overlap, muted/italic outside items, editorial - subtitle — clearly above library defaults' - - id: DE-02 - name: Visual Refinement - score: 5 - max: 6 - passed: true - comment: Axes completely hidden; no grid; semi-transparent circle fills (alpha=0.20); - subtle dashed highlight circle around ABC zone; careful ha/va text alignment - - id: DE-03 - name: Data Storytelling - score: 4 - max: 6 - passed: true - comment: Visual hierarchy via focal 'Sourdough' (larger, bolder) in triple - overlap, dashed circle highlight; muted/italic outside items create clear - secondary tier; viewer is guided to the convergence zone - spec_compliance: - score: 15 - max: 15 - items: - - id: SC-01 - name: Plot Type - score: 5 - max: 5 - passed: true - comment: Three-circle Venn diagram with labeled items in each zone — exactly - as specified - - id: SC-02 - name: Required Features - score: 4 - max: 4 - passed: true - comment: Semi-transparent fills, labeled items in zones, category names outside - circles, all 7 interior zones + outside used - - id: SC-03 - name: Data Mapping - score: 3 - max: 3 - passed: true - comment: Items correctly placed in their specified zones (A=NFTs/Metaverse/Web3, - B=Spreadsheets/Calculators, etc.) - - id: SC-04 - name: Title & Legend - score: 3 - max: 3 - passed: true - comment: Title is exactly 'venn-labeled-items · seaborn · anyplot.ai'; category - labels serve as legend; no formal legend needed - data_quality: - score: 15 - max: 15 - items: - - id: DQ-01 - name: Feature Coverage - score: 6 - max: 6 - passed: true - comment: All 7 interior zones (A, B, C, AB, AC, BC, ABC) plus outside zone - populated; shows all aspects of labeled Venn diagram - - id: DQ-02 - name: Realistic Context - score: 5 - max: 5 - passed: true - comment: Tech and pop culture items (NFTs, Google Maps, Dolly Parton, Sourdough, - etc.) — relatable, neutral, and appropriate for editorial commentary - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 4 - passed: true - comment: 16 items within the 10-25 spec range; good distribution across zones - with single item in ABC for editorial focus - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: 'Linear script: imports → theme → data → plot → save; no functions - or classes' - - id: CQ-02 - name: Reproducibility - score: 2 - max: 2 - passed: true - comment: All data is hardcoded; no random number generation needed; fully - deterministic - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: os, matplotlib.pyplot, pandas, seaborn, matplotlib.patches.Circle - — all used - - id: CQ-04 - name: Code Elegance - score: 2 - max: 2 - passed: true - comment: Clean Pythonic code; zone centroid dict + spacing loop is an elegant - positioning approach; no over-engineering - - id: CQ-05 - name: Output & API - score: 1 - max: 1 - passed: true - comment: Saves as plot-{THEME}.png; current seaborn 0.13 API; no deprecated - functions - library_mastery: - score: 4 - max: 10 - items: - - id: LM-01 - name: Idiomatic Usage - score: 3 - max: 5 - passed: true - comment: sns.set_theme() with full rc dict and sns.scatterplot() with pandas - DataFrame are idiomatic seaborn patterns; however the bulk of rendering - uses matplotlib patches and ax.text() directly - - id: LM-02 - name: Distinctive Features - score: 1 - max: 5 - passed: false - comment: Seaborn's distinctive capabilities (hue-mapped scatter, statistical - functions, FacetGrid) are not used; sns.scatterplot provides tiny anchor - dots only — this could be replicated with ax.scatter() in any library - verdict: REJECTED -impl_tags: - dependencies: [] - techniques: - - patches - - annotations - patterns: - - explicit-figure - - iteration-over-groups - dataprep: [] - styling: - - alpha-blending - - minimal-chrome + strengths: [] + weaknesses: [] From c25b3aa4240d58c4a4ef31946a203ade34d41540 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 25 Jun 2026 11:31:57 +0000 Subject: [PATCH 3/5] chore(seaborn): update quality score 84 and review feedback for venn-labeled-items --- .../implementations/python/seaborn.py | 6 +- .../metadata/python/seaborn.yaml | 293 +++++++++++++++++- 2 files changed, 289 insertions(+), 10 deletions(-) diff --git a/plots/venn-labeled-items/implementations/python/seaborn.py b/plots/venn-labeled-items/implementations/python/seaborn.py index 12fccd2d62..e7d05b1126 100644 --- a/plots/venn-labeled-items/implementations/python/seaborn.py +++ b/plots/venn-labeled-items/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items -Library: seaborn 0.13.2 | Python 3.14.4 -Quality: 88/100 | Updated: 2026-06-25 +Library: seaborn 0.13.2 | Python 3.13.14 +Quality: 84/100 | Updated: 2026-06-25 """ import os diff --git a/plots/venn-labeled-items/metadata/python/seaborn.yaml b/plots/venn-labeled-items/metadata/python/seaborn.yaml index 933de75224..40968ee215 100644 --- a/plots/venn-labeled-items/metadata/python/seaborn.yaml +++ b/plots/venn-labeled-items/metadata/python/seaborn.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for seaborn implementation of venn-labeled-items -# Auto-generated by impl-generate.yml - library: seaborn language: python specification_id: venn-labeled-items created: '2026-04-25T05:10:07Z' -updated: '2026-06-25T11:24:04Z' +updated: '2026-06-25T11:31:57Z' generated_by: claude-sonnet workflow_run: 28165984825 issue: 5364 @@ -15,7 +12,289 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/venn-labe preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: null +quality_score: 84 review: - strengths: [] - weaknesses: [] + strengths: + - 'Full spec compliance: all 7 Venn zones populated (A, B, C, AB, AC, BC, ABC) plus + outside zone, with 16 items total matching spec range' + - 'Imprint palette used correctly: Venn circles at positions 1-3 (#009E73/#C475FD/#4467A3), + scatter depth uses positions 4-5 (#BD8233/#AE3030) plus semantic muted anchors + — coherent design logic' + - 'Both themes handled correctly: light (#FAF8F1) and dark (#1A1A17) backgrounds, + all chrome tokens adapted, no dark-on-dark failures' + - Clever use of seaborn hue+size dual encoding to convey overlap depth — effective + visual hierarchy where Sourdough (triple-overlap) is immediately prominent as + the focal point + - 'Editorial aesthetic well-executed: serif font, italic subtitle, color-coded category + labels, semi-transparent circle fills, subtle dashed accent on the triple-overlap + zone' + - 'Perfect code quality: KISS structure, deterministic data, clean imports, no fake + UI elements' + weaknesses: + - 'Canvas underutilization: ~30% of the square canvas is empty whitespace below + the Venn diagram. The y-axis limit extends to -2.05 but the bottom of the diagram + (lowest circle center y=-0.275 minus radius 0.85) is at y=-1.125, leaving ~0.93 + units of dead space. Fix: tighten ylim to around (-1.50, 1.85) or shift diagram + downward to better center the content on the 2400x2400 canvas' + - 'Library Mastery is constrained: seaborn is used only for the scatter depth-encoding + layer; the entire Venn structure (circles, placement logic, text annotations) + is pure matplotlib. Consider making seaborn''s contribution more central — e.g. + using FacetGrid for structural layout or integrating more sns API calls' + - Item labels at 9pt are on the modest side for a 2400x2400 canvas (recommended + 10pt+ for label text at this resolution). Increasing to 10-11pt for regular items + would improve mobile-scale readability + - The scatter marker sizes (s=15 for outside, s=28 for 1-circle) are very small + relative to the canvas — for ~16 total data points (< 30), markers should be larger + (s=60-100 range). Currently the dots serve as anchor points barely visible relative + to the text labels; enlarging them would improve visual weight and the depth hierarchy + contrast + image_description: |- + Light render (plot-light.png): + Background: Warm off-white (#FAF8F1) — correct, not pure white. + Chrome: Title "venn-labeled-items · python · seaborn · anyplot.ai" in serif medium weight, ~70% canvas width — readable. Italic subtitle "Tech & Trends — a Chartgeist taxonomy of what we love, use, and overrate" in muted ink, clearly legible. No axis labels (axis off — correct for Venn). Category labels "Overhyped" (green #009E73), "Actually Useful" (lavender #C475FD), "Secretly Loved" (blue #4467A3) in bold 12pt outside each circle — all readable. Item labels (NFTs, Metaverse, Web3, Sourdough, etc.) in dark ink at 9pt, 11pt bold for Sourdough — all readable. Legend titled "Overlap depth" in upper right with ELEVATED_BG box — readable. + Data: Three semi-transparent overlapping circles using Imprint positions 1-3. Scatter markers: gray (outside/1-circle using muted chrome tokens), ochre #BD8233 (2-circle, position 4), matte red #AE3030 (3-circle, position 5). Sourdough dot (triple overlap) is largest and red — clear focal point. All 16 items distributed across all 8 zones. Subtle dashed circle accent around the triple-overlap zone. + Layout concern: Bottom ~30% of canvas is empty whitespace below the diagram; the Venn content clusters in the upper-center portion of the 2400x2400 square. + Legibility verdict: PASS — all text readable in light theme. No light-on-light failures. + + Dark render (plot-dark.png): + Background: Warm near-black (#1A1A17) — correct, not pure black. + Chrome: Title and italic subtitle in light cream (#F0EFE8) — clearly readable against dark background. Category labels maintain their Imprint colors (green/lavender/blue) — all still readable. Item labels rendered in light cream text (#F0EFE8 INK token) — clearly readable against dark background. Legend box uses ELEVATED_BG (#242420) with light text — readable. No dark-on-dark failures observed. + Data: Circle colors are identical to light render — Imprint positions 1-3 visible (slightly deeper appearance on dark bg due to alpha=0.18 fill). Scatter marker colors identical: gray muted anchors, ochre, matte red. Data color fidelity confirmed — only chrome flipped. + Legibility verdict: PASS — all text readable in dark theme. No dark-on-dark failures. + criteria_checklist: + visual_quality: + score: 25 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 7 + max: 8 + passed: true + comment: All font sizes explicitly set and readable in both themes. Title + 13pt serif ~70% width — correct. Category labels 12pt bold. Sourdough 11pt + bold. Item labels 9pt on 2400x2400 canvas are on the modest side but readable. + Subtitle 9pt italic legible. + - id: VQ-02 + name: No Overlap + score: 5 + max: 6 + passed: true + comment: Good separation overall with 0.20 spacing between stacked items within + each zone. Minor proximity between ChatGPT/Pumpkin Spice labels and the + central Sourdough label but no actual pixel overlap. + - id: VQ-03 + name: Element Visibility + score: 5 + max: 6 + passed: true + comment: Depth hierarchy via size+color is effective. 3-circle marker (s=105) + is prominent as focal point. However, 1-circle markers (s=28) and outside + marker (s=15) are small relative to the 2400x2400 canvas and the sparse + dataset (~16 items). Marker sizes well below the s=200-400 guidance for + <30 points, though the text labels are the primary identifier. + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Imprint palette is colorblind-safe. Dual hue+size encoding provides + redundant encoding for depth. No red-green-only signaling issues. + - id: VQ-05 + name: Layout & Canvas + score: 2 + max: 4 + passed: false + comment: Square canvas 2400x2400 but Venn diagram occupies approximately the + upper 65-70% of the canvas height. Bottom ~30% is empty whitespace. ylim + extends to -2.05 but diagram bottom is ~-1.125, leaving significant dead + space. Tightening ylim to ~-1.50 or shifting diagram downward would better + utilize the canvas. + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: No axis labels appropriate for Venn type (axis off). Title in correct + mandated format. Category labels serve as the zone identifiers. Editorial + subtitle provides context. + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'Venn circles use Imprint positions 1-3 (#009E73/#C475FD/#4467A3). + Scatter depth uses positions 4-5 (#BD8233/#AE3030) plus semantic muted/soft + chrome anchors (appropriate for depth/intensity). Both themes produce correct + backgrounds (#FAF8F1 light / #1A1A17 dark) and properly adaptive chrome.' + design_excellence: + score: 13 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 5 + max: 8 + passed: true + comment: 'Clear editorial intent above defaults: serif font, italic subtitle, + color-coded bold category labels, semi-transparent fills, subtle dashed + triple-overlap accent, depth hierarchy via hue+size. Falls short of publication-ready + due to canvas underutilization and the diagram not being optimally positioned + on the square canvas.' + - id: DE-02 + name: Visual Refinement + score: 4 + max: 6 + passed: true + comment: Axis fully off (no frame, no ticks, no grid) — correct for editorial + Venn. Serif font throughout. Legend styled with elevated background and + thin border. The triple-overlap dashed accent shows attention to detail. + Deducted for the notable empty whitespace at the bottom which makes the + composition feel top-heavy. + - id: DE-03 + name: Data Storytelling + score: 4 + max: 6 + passed: true + comment: Visual hierarchy guides the viewer to Sourdough at the triple intersection + (bold 11pt + largest marker + matte red color). The category names are witty + and opinionated per spec. Depth color coding (muted→ochre→red) creates a + meaningful progression. Solid storytelling within the Chartgeist editorial + aesthetic. + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Three-circle Venn diagram with labeled items — correct plot type + per spec. + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: 'All spec requirements met: 3 equal circles, semi-transparent fills, + labels in each of 7 zones, category names outside circles, outside zone + used, small markers, editorial aesthetic.' + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: All 16 items correctly placed in their assigned zones (A, B, C, AB, + AC, BC, ABC, outside) matching the spec zone_centroids logic. + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: 'Title is exact mandated format: ''venn-labeled-items · python · + seaborn · anyplot.ai''. Overlap-depth legend is descriptive and correctly + labels the four depth categories.' + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: 'All 7 interior zones populated plus outside zone. Good distribution: + 3+2+2+2+2+3+1+1 = 16 items. Shows all intersection types from single-zone + to triple-overlap.' + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Real pop-culture and tech taxonomy (NFTs, ChatGPT, Google Maps, Dolly + Parton, Sourdough, etc.). Witty editorial framing matches Chartgeist spec + intent. Not controversial — subjective cultural commentary is the point + of this plot type. + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Categorical set-membership data — no numerical scale concerns. Zone + assignments are culturally plausible and well-distributed across all regions. + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Clean linear structure: imports → theme tokens → data definitions + → figure creation → draw circles → scatter → legend → text labels → title + → save. No functions or classes.' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Fully deterministic — all data is hardcoded with no random elements. + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: All 5 imports (os, matplotlib.pyplot, pandas, seaborn, matplotlib.patches.Circle) + are used. + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Clean Pythonic code. Legend deduplication logic (seen set + zip loop) + is justified for seaborn's hue+size combined legend. No fake UI elements. + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves as plot-{THEME}.png at dpi=400 without bbox_inches=tight. Current + seaborn/matplotlib API throughout. + library_mastery: + score: 6 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 3 + max: 5 + passed: true + comment: 'Correct idiomatic seaborn: sns.set_theme() for global theming, sns.scatterplot() + with hue+size+sizes+hue_order+size_order for dual encoding, get_legend_handles_labels() + for legend customization. However, the entire Venn structural layer (circles, + text placement) is pure matplotlib — seaborn is only the scatter overlay.' + - id: LM-02 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: 'The hue+size dual-encoding combination is distinctive seaborn: coordinated + categorical palette and size scaling with automatic legend generation would + require significantly more manual code in pure matplotlib. The deduplication + approach using get_legend_handles_labels() is also seaborn-idiomatic.' + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: + - patches + - annotations + - custom-legend + patterns: + - iteration-over-groups + - explicit-figure + dataprep: [] + styling: + - alpha-blending + - minimal-chrome From a75bba2b5b7eb6cbff55a28417e1ac8ae72634be Mon Sep 17 00:00:00 2001 From: "claude[bot]" <41898282+claude[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 11:34:48 +0000 Subject: [PATCH 4/5] fix(seaborn): address review feedback for venn-labeled-items Attempt 1/3 - fixes based on AI review --- .../implementations/python/seaborn.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/plots/venn-labeled-items/implementations/python/seaborn.py b/plots/venn-labeled-items/implementations/python/seaborn.py index e7d05b1126..4ea07480ae 100644 --- a/plots/venn-labeled-items/implementations/python/seaborn.py +++ b/plots/venn-labeled-items/implementations/python/seaborn.py @@ -1,4 +1,4 @@ -""" anyplot.ai +"""anyplot.ai venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items Library: seaborn 0.13.2 | Python 3.13.14 Quality: 84/100 | Updated: 2026-06-25 @@ -130,7 +130,7 @@ y="y", hue="overlap", size="overlap", - sizes={"outside": 15, "1 circle": 28, "2 circles": 60, "3 circles": 105}, + sizes={"outside": 55, "1 circle": 75, "2 circles": 110, "3 circles": 160}, palette=DEPTH_PALETTE, hue_order=OVERLAP_ORDER, size_order=OVERLAP_ORDER, @@ -198,7 +198,7 @@ ) # Item labels placed slightly above their dot markers -label_offset = 0.055 +label_offset = 0.07 for _, row in items_df.iterrows(): is_triple = row["overlap"] == "3 circles" is_outside = row["overlap"] == "outside" @@ -208,7 +208,7 @@ row["label"], ha="center", va="bottom", - fontsize=11 if is_triple else 9, + fontsize=11 if is_triple else 10, fontweight="bold" if is_triple else "normal", color=INK_MUTED if is_outside else INK, style="italic" if is_outside else "normal", @@ -235,7 +235,7 @@ ) ax.set_xlim(-2.35, 2.35) -ax.set_ylim(-2.05, 1.85) +ax.set_ylim(-1.50, 1.85) ax.axis("off") # Save — bbox_inches omitted (defaults to None) to preserve the exact 2400×2400 canvas From a73905c98a1309b7e7c0dff621e38717f39a485d Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 25 Jun 2026 11:41:01 +0000 Subject: [PATCH 5/5] chore(seaborn): update quality score 86 and review feedback for venn-labeled-items --- .../implementations/python/seaborn.py | 4 +- .../metadata/python/seaborn.yaml | 213 +++++++----------- 2 files changed, 86 insertions(+), 131 deletions(-) diff --git a/plots/venn-labeled-items/implementations/python/seaborn.py b/plots/venn-labeled-items/implementations/python/seaborn.py index 4ea07480ae..99e6b453f7 100644 --- a/plots/venn-labeled-items/implementations/python/seaborn.py +++ b/plots/venn-labeled-items/implementations/python/seaborn.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items Library: seaborn 0.13.2 | Python 3.13.14 -Quality: 84/100 | Updated: 2026-06-25 +Quality: 86/100 | Updated: 2026-06-25 """ import os diff --git a/plots/venn-labeled-items/metadata/python/seaborn.yaml b/plots/venn-labeled-items/metadata/python/seaborn.yaml index 40968ee215..40c74aa953 100644 --- a/plots/venn-labeled-items/metadata/python/seaborn.yaml +++ b/plots/venn-labeled-items/metadata/python/seaborn.yaml @@ -2,7 +2,7 @@ library: seaborn language: python specification_id: venn-labeled-items created: '2026-04-25T05:10:07Z' -updated: '2026-06-25T11:31:57Z' +updated: '2026-06-25T11:41:01Z' generated_by: claude-sonnet workflow_run: 28165984825 issue: 5364 @@ -12,55 +12,47 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/venn-labe preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/venn-labeled-items/python/seaborn/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 84 +quality_score: 86 review: strengths: - - 'Full spec compliance: all 7 Venn zones populated (A, B, C, AB, AC, BC, ABC) plus - outside zone, with 16 items total matching spec range' - - 'Imprint palette used correctly: Venn circles at positions 1-3 (#009E73/#C475FD/#4467A3), - scatter depth uses positions 4-5 (#BD8233/#AE3030) plus semantic muted anchors - — coherent design logic' - - 'Both themes handled correctly: light (#FAF8F1) and dark (#1A1A17) backgrounds, - all chrome tokens adapted, no dark-on-dark failures' - - Clever use of seaborn hue+size dual encoding to convey overlap depth — effective - visual hierarchy where Sourdough (triple-overlap) is immediately prominent as - the focal point - - 'Editorial aesthetic well-executed: serif font, italic subtitle, color-coded category - labels, semi-transparent circle fills, subtle dashed accent on the triple-overlap - zone' - - 'Perfect code quality: KISS structure, deterministic data, clean imports, no fake - UI elements' + - Three-circle Venn layout is symmetric, correctly sized, and uses semi-transparent + Imprint palette fills (positions 1-3) for the circles + - Dual hue+size seaborn encoding for overlap depth creates clear visual hierarchy + with 'Sourdough' appropriately emphasized in bold red + - Serif editorial font and colored category labels outside the circles echo the + Chartgeist/magazine aesthetic specified + - All 8 zones (A, B, C, AB, AC, BC, ABC, outside) are populated with relatable, + witty tech-and-culture items + - 'Correct Imprint palette throughout: circles use positions 1-3, scatter depth + uses positions 4-5, semantic anchors for outside/baseline items' + - Theme-adaptive chrome works correctly in both renders — dark render flips background/text + with no dark-on-dark failures + - Code is clean flat KISS structure with all font sizes explicitly set and no bbox_inches='tight' weaknesses: - - 'Canvas underutilization: ~30% of the square canvas is empty whitespace below - the Venn diagram. The y-axis limit extends to -2.05 but the bottom of the diagram - (lowest circle center y=-0.275 minus radius 0.85) is at y=-1.125, leaving ~0.93 - units of dead space. Fix: tighten ylim to around (-1.50, 1.85) or shift diagram - downward to better center the content on the 2400x2400 canvas' - - 'Library Mastery is constrained: seaborn is used only for the scatter depth-encoding - layer; the entire Venn structure (circles, placement logic, text annotations) - is pure matplotlib. Consider making seaborn''s contribution more central — e.g. - using FacetGrid for structural layout or integrating more sns API calls' - - Item labels at 9pt are on the modest side for a 2400x2400 canvas (recommended - 10pt+ for label text at this resolution). Increasing to 10-11pt for regular items - would improve mobile-scale readability - - The scatter marker sizes (s=15 for outside, s=28 for 1-circle) are very small - relative to the canvas — for ~16 total data points (< 30), markers should be larger - (s=60-100 range). Currently the dots serve as anchor points barely visible relative - to the text labels; enlarging them would improve visual weight and the depth hierarchy - contrast + - Approximately 20% of the bottom canvas is empty whitespace — the Venn geometry + (xlim ±2.35, ylim -1.50 to 1.85) creates a wide-but-short data footprint inside + a square canvas, leaving a band below the 'Actually Useful' / 'Secretly Loved' + labels; consider extending ylim bottom to -1.15 and shifting elements up slightly + to reduce waste + - Legend and outside-hint text sizes (7pt and 8pt) are marginally small — at ~400px + mobile scaling these approach the legibility floor; raising to 8pt and 9pt respectively + would help + - 'Minor visual crowding in the central AB/AC/ABC triangle: ''ChatGPT'' (AB) and + the bold ''Sourdough'' (ABC) text are close enough that the eye has to work to + separate them; a small horizontal nudge of AB items toward -0.65 would add breathing + room' image_description: |- Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) — correct, not pure white. - Chrome: Title "venn-labeled-items · python · seaborn · anyplot.ai" in serif medium weight, ~70% canvas width — readable. Italic subtitle "Tech & Trends — a Chartgeist taxonomy of what we love, use, and overrate" in muted ink, clearly legible. No axis labels (axis off — correct for Venn). Category labels "Overhyped" (green #009E73), "Actually Useful" (lavender #C475FD), "Secretly Loved" (blue #4467A3) in bold 12pt outside each circle — all readable. Item labels (NFTs, Metaverse, Web3, Sourdough, etc.) in dark ink at 9pt, 11pt bold for Sourdough — all readable. Legend titled "Overlap depth" in upper right with ELEVATED_BG box — readable. - Data: Three semi-transparent overlapping circles using Imprint positions 1-3. Scatter markers: gray (outside/1-circle using muted chrome tokens), ochre #BD8233 (2-circle, position 4), matte red #AE3030 (3-circle, position 5). Sourdough dot (triple overlap) is largest and red — clear focal point. All 16 items distributed across all 8 zones. Subtle dashed circle accent around the triple-overlap zone. - Layout concern: Bottom ~30% of canvas is empty whitespace below the diagram; the Venn content clusters in the upper-center portion of the 2400x2400 square. - Legibility verdict: PASS — all text readable in light theme. No light-on-light failures. + Background: Warm off-white #FAF8F1 — correct theme surface, no pure white + Chrome: Title "venn-labeled-items · python · seaborn · anyplot.ai" in dark ink at 13pt serif, clearly readable. Italic subtitle in INK_SOFT color. Category labels "Overhyped" (green), "Actually Useful" (lavender), "Secretly Loved" (blue) rendered bold outside their respective circles. Overlap depth legend in upper-right corner with styled frame. "(outside all)" italic annotation in muted color near Jury Duty. + Data: Three overlapping circles — green (#009E73), lavender (#C475FD), blue (#4467A3) with alpha=0.18 fills. Scatter dots use Imprint ochre (#BD8233) for 2-circle items and matte red (#AE3030) for the 3-circle "Sourdough" item, with muted/soft chrome colors for outside and single-circle items. "Sourdough" rendered in bold larger text at center with prominent red dot. Item labels placed above their dot markers. + Legibility verdict: PASS — all text readable against light background; legend (7pt) and outside hint (8pt) are small but legible at full resolution. Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) — correct, not pure black. - Chrome: Title and italic subtitle in light cream (#F0EFE8) — clearly readable against dark background. Category labels maintain their Imprint colors (green/lavender/blue) — all still readable. Item labels rendered in light cream text (#F0EFE8 INK token) — clearly readable against dark background. Legend box uses ELEVATED_BG (#242420) with light text — readable. No dark-on-dark failures observed. - Data: Circle colors are identical to light render — Imprint positions 1-3 visible (slightly deeper appearance on dark bg due to alpha=0.18 fill). Scatter marker colors identical: gray muted anchors, ochre, matte red. Data color fidelity confirmed — only chrome flipped. - Legibility verdict: PASS — all text readable in dark theme. No dark-on-dark failures. + Background: Warm near-black #1A1A17 — correct dark theme surface, not pure black + Chrome: Title, subtitle, and all item labels flip to light-colored text (#F0EFE8 / #B8B7B0 range). Category labels retain their circle colors (green/lavender/blue) which read well on dark bg. Legend frame uses elevated dark background. No dark-on-dark failures observed — all text has adequate contrast. + Data: Circle colors are identical to light render — green, lavender, and blue circles with the same semi-transparent fills. Ochre and red scatter dots for 2- and 3-circle items unchanged. The visual depth hierarchy is maintained. + Legibility verdict: PASS — full theme adaptation successful; no unreadable elements; brand green #009E73 remains visible on the dark surface. criteria_checklist: visual_quality: score: 25 @@ -71,96 +63,74 @@ review: score: 7 max: 8 passed: true - comment: All font sizes explicitly set and readable in both themes. Title - 13pt serif ~70% width — correct. Category labels 12pt bold. Sourdough 11pt - bold. Item labels 9pt on 2400x2400 canvas are on the modest side but readable. - Subtitle 9pt italic legible. + comment: All font sizes explicitly set; readable in both themes; legend (7pt) + and outside-hint (8pt) marginally small at mobile scale - id: VQ-02 name: No Overlap score: 5 max: 6 passed: true - comment: Good separation overall with 0.20 spacing between stacked items within - each zone. Minor proximity between ChatGPT/Pumpkin Spice labels and the - central Sourdough label but no actual pixel overlap. + comment: Minor crowding in AB/AC/ABC intersection area; no actual pixel overlap - id: VQ-03 name: Element Visibility score: 5 max: 6 passed: true - comment: Depth hierarchy via size+color is effective. 3-circle marker (s=105) - is prominent as focal point. However, 1-circle markers (s=28) and outside - marker (s=15) are small relative to the 2400x2400 canvas and the sparse - dataset (~16 items). Marker sizes well below the s=200-400 guidance for - <30 points, though the text labels are the primary identifier. + comment: Marker sizes well-adapted to data density; all circles and dots clearly + visible - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Imprint palette is colorblind-safe. Dual hue+size encoding provides - redundant encoding for depth. No red-green-only signaling issues. + comment: CVD-safe Imprint palette; adequate luminance contrast between all + elements - id: VQ-05 name: Layout & Canvas score: 2 max: 4 - passed: false - comment: Square canvas 2400x2400 but Venn diagram occupies approximately the - upper 65-70% of the canvas height. Bottom ~30% is empty whitespace. ylim - extends to -2.05 but diagram bottom is ~-1.125, leaving significant dead - space. Tightening ylim to ~-1.50 or shifting diagram downward would better - utilize the canvas. + passed: true + comment: ~20% empty whitespace at bottom of square canvas due to wide-but-short + Venn geometry; otherwise well-proportioned - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: No axis labels appropriate for Venn type (axis off). Title in correct - mandated format. Category labels serve as the zone identifiers. Editorial - subtitle provides context. + comment: Axes off is correct for Venn; category labels serve as axis equivalents; + descriptive subtitle adds context - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'Venn circles use Imprint positions 1-3 (#009E73/#C475FD/#4467A3). - Scatter depth uses positions 4-5 (#BD8233/#AE3030) plus semantic muted/soft - chrome anchors (appropriate for depth/intensity). Both themes produce correct - backgrounds (#FAF8F1 light / #1A1A17 dark) and properly adaptive chrome.' + comment: Imprint positions 1-3 for circles, 4-5 for overlap depth; semantic + anchors for outside/baseline; correct backgrounds in both themes design_excellence: - score: 13 + score: 14 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 5 + score: 6 max: 8 passed: true - comment: 'Clear editorial intent above defaults: serif font, italic subtitle, - color-coded bold category labels, semi-transparent fills, subtle dashed - triple-overlap accent, depth hierarchy via hue+size. Falls short of publication-ready - due to canvas underutilization and the diagram not being optimally positioned - on the square canvas.' + comment: 'Strong design: serif editorial font, colored category labels, dual + encoding hierarchy, dashed triple-overlap highlight ring' - id: DE-02 name: Visual Refinement score: 4 max: 6 passed: true - comment: Axis fully off (no frame, no ticks, no grid) — correct for editorial - Venn. Serif font throughout. Legend styled with elevated background and - thin border. The triple-overlap dashed accent shows attention to detail. - Deducted for the notable empty whitespace at the bottom which makes the - composition feel top-heavy. + comment: Axes off, no grid, styled legend frame, subtle dashed convergence + ring; good overall polish - id: DE-03 name: Data Storytelling score: 4 max: 6 passed: true - comment: Visual hierarchy guides the viewer to Sourdough at the triple intersection - (bold 11pt + largest marker + matte red color). The category names are witty - and opinionated per spec. Depth color coding (muted→ochre→red) creates a - meaningful progression. Solid storytelling within the Chartgeist editorial - aesthetic. + comment: Clear focal point on Sourdough (bold+red); overlap depth hierarchy + guides viewer; editorial categorization is memorable spec_compliance: score: 15 max: 15 @@ -170,31 +140,26 @@ review: score: 5 max: 5 passed: true - comment: Three-circle Venn diagram with labeled items — correct plot type - per spec. + comment: Correct three-circle Venn with all 7 interior zones and outside zone - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: 'All spec requirements met: 3 equal circles, semi-transparent fills, - labels in each of 7 zones, category names outside circles, outside zone - used, small markers, editorial aesthetic.' + comment: Semi-transparent fills, category names outside circles, item labels + with markers, outside zone handled - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: All 16 items correctly placed in their assigned zones (A, B, C, AB, - AC, BC, ABC, outside) matching the spec zone_centroids logic. + comment: All items correctly placed in their designated zones - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: 'Title is exact mandated format: ''venn-labeled-items · python · - seaborn · anyplot.ai''. Overlap-depth legend is descriptive and correctly - labels the four depth categories.' + comment: Exact mandated title format; overlap depth legend properly labeled data_quality: score: 15 max: 15 @@ -204,25 +169,22 @@ review: score: 6 max: 6 passed: true - comment: 'All 7 interior zones populated plus outside zone. Good distribution: - 3+2+2+2+2+3+1+1 = 16 items. Shows all intersection types from single-zone - to triple-overlap.' + comment: All 8 zones populated; full range from single-circle to triple-overlap + demonstrated - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Real pop-culture and tech taxonomy (NFTs, ChatGPT, Google Maps, Dolly - Parton, Sourdough, etc.). Witty editorial framing matches Chartgeist spec - intent. Not controversial — subjective cultural commentary is the point - of this plot type. + comment: Real tech & pop-culture items; witty but neutral categorization; + no controversial content - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Categorical set-membership data — no numerical scale concerns. Zone - assignments are culturally plausible and well-distributed across all regions. + comment: 17 items within 10-25 spec range; zone assignments are editorially + plausible code_quality: score: 10 max: 10 @@ -232,59 +194,52 @@ review: score: 3 max: 3 passed: true - comment: 'Clean linear structure: imports → theme tokens → data definitions - → figure creation → draw circles → scatter → legend → text labels → title - → save. No functions or classes.' + comment: 'Flat structure: imports → tokens → data → plot → styling → save' - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: Fully deterministic — all data is hardcoded with no random elements. + comment: Fully deterministic hardcoded data - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: All 5 imports (os, matplotlib.pyplot, pandas, seaborn, matplotlib.patches.Circle) - are used. + comment: All 5 imports are used - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean Pythonic code. Legend deduplication logic (seen set + zip loop) - is justified for seaborn's hue+size combined legend. No fake UI elements. + comment: Clean and idiomatic; legend dedup logic is correct and concise - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot-{THEME}.png at dpi=400 without bbox_inches=tight. Current - seaborn/matplotlib API throughout. + comment: Saves as plot-{THEME}.png; no bbox_inches='tight'; current API 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 idiomatic seaborn: sns.set_theme() for global theming, sns.scatterplot() - with hue+size+sizes+hue_order+size_order for dual encoding, get_legend_handles_labels() - for legend customization. However, the entire Venn structural layer (circles, - text placement) is pure matplotlib — seaborn is only the scatter overlay.' + comment: 'Good idiomatic seaborn: hue+size scatterplot, sns.set_theme rc dict, + legend handle dedup pattern; matplotlib patches for circles is the correct + approach' - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: 'The hue+size dual-encoding combination is distinctive seaborn: coordinated - categorical palette and size scaling with automatic legend generation would - require significantly more manual code in pure matplotlib. The deduplication - approach using get_legend_handles_labels() is also seaborn-idiomatic.' - verdict: REJECTED + comment: Dual hue+size categorical encoding is a seaborn-distinctive pattern; + hue_order/size_order/sizes dict control are library-specific; but core Venn + structure is matplotlib-driven + verdict: APPROVED impl_tags: dependencies: [] techniques: @@ -292,9 +247,9 @@ impl_tags: - annotations - custom-legend patterns: - - iteration-over-groups - explicit-figure + - iteration-over-groups dataprep: [] styling: - - alpha-blending - minimal-chrome + - alpha-blending