chore(plotnine): update quality score 93 and review feedback for scatter-marginal

Author: github-actions[bot]

plots/scatter-marginal/implementations/python/plotnine.py

@@ -1,7 +1,7 @@
-"""anyplot.ai
+""" anyplot.ai
 scatter-marginal: Scatter Plot with Marginal Distributions
 Library: plotnine 0.15.4 | Python 3.13.13
-Quality: 89/100 | Updated: 2026-05-09
+Quality: 93/100 | Updated: 2026-05-09
 """
 
 import os

plots/scatter-marginal/metadata/python/plotnine.yaml

@@ -2,7 +2,7 @@ library: plotnine
 language: python
 specification_id: scatter-marginal
 created: '2025-12-26T15:03:57Z'
-updated: '2026-05-09T05:35:09Z'
+updated: '2026-05-09T05:41:41Z'
 generated_by: claude-haiku
 workflow_run: 25592916886
 issue: 2005
@@ -12,31 +12,35 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/scatter-m
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/plotnine/plot-dark.png
 preview_html_light: null
 preview_html_dark: null
-quality_score: 89
+quality_score: 93
 review:
   strengths:
-  - 'Correct Okabe-Ito palette usage (scatter #009E73, marginals #D55E00)'
-  - Proper theme token implementation with correct light/dark colors
-  - Well-proportioned layout with smooth composition
-  - Clean readable text in both light and dark renders
-  - Effective alpha blending (0.6 scatter, 0.7 histograms) reveals density patterns
-  - Deterministic seeding for reproducibility
+  - Perfect theme adaptation with both renders visually correct and zero legibility
+    issues
+  - Clean intentional L-shaped composite layout demonstrating design thinking
+  - Proper Okabe-Ito palette usage with excellent color hierarchy
+  - Well-structured reproducible code with deterministic seed
+  - Complete spec compliance with all required features perfectly implemented
+  - Excellent axis alignment between scatter plot and marginal distributions
   weaknesses:
-  - Design excellence relies on defaults rather than custom refinement
-  - Top/right spines could be removed for more polished appearance
-  - No distinctive plotnine features beyond standard composition
+  - Design could show more sophistication or custom refinement beyond standard plotnine
+    defaults
+  - Code uses straightforward library patterns without pushing plotnine's more distinctive
+    features
   image_description: |-
     Light render (plot-light.png):
-      Background: Warm off-white (#FAF8F1) with appropriate page surface color
-      Chrome: Title ("scatter-marginal · plotnine · anyplot.ai") in dark text at 24pt, X-axis label "Study Hours per Week" at 20pt, Y-axis label "Exam Score (%)" at 20pt, tick labels at 16pt—all clearly readable against light background with dark color (#1A1A17)
-      Data: Scatter points in brand green (#009E73) with 0.6 alpha showing clear positive correlation between study hours and exam scores; top histogram and right histogram in vermillion (#D55E00) with 0.7 alpha displaying univariate distributions; subtle grid lines visible but not dominant
-      Legibility verdict: PASS - All text is clearly readable, high contrast between dark text and light background
+      Background: Warm off-white (#FAF8F1) - correct for light theme
+      Chrome: Title "scatter-marginal · plotnine · anyplot.ai" in bold dark text (24pt), axis labels "Study Hours per Week" and "Exam Score (%)" in dark (20pt), tick labels in softer gray (#4A4A44, 16pt) - all clearly readable against light surface
+      Data: Main scatter plot with 200 teal-green points (#009E73) showing positive correlation with alpha=0.6, top histogram showing study hours distribution in orange bars (#D55E00), right histogram showing exam score distribution in orange bars; subtle horizontal grid lines (alpha=0.10) provide reference without competition
+      Grid: Subtle horizontal grid lines only on scatter plot (alpha=0.10, light gray)
+      Legibility verdict: PASS - All text and data elements clearly readable
 
     Dark render (plot-dark.png):
-      Background: Warm near-black (#1A1A17) with appropriate dark surface color
-      Chrome: Title in light text (#F0EFE8) clearly readable, X-axis label in light text (#F0EFE8), Y-axis label in light text (#F0EFE8), tick labels in soft light text (#B8B7B0)—all clearly readable against dark background with no dark-on-dark contrast issues
-      Data: Scatter points in brand green (#009E73)—identical color to light render, confirming data colors remain constant across themes; histograms in vermillion (#D55E00) showing same distribution patterns; grid lines subtle and visible
-      Legibility verdict: PASS - All text is clearly readable, good contrast between light text and dark background, no dark-on-dark failures, brand green (#009E73) visible and readable
+      Background: Warm near-black (#1A1A17) - correct for dark theme
+      Chrome: Title and axis labels now rendered in light colors (#F0EFE8) while maintaining same 24pt/20pt sizing, tick labels in appropriate soft gray for dark (#B8B7B0, 16pt) - all clearly readable against dark surface; no dark-on-dark text issues
+      Data: Scatter points remain identical teal-green (#009E73), histogram bars remain identical orange (#D55E00) - confirming only chrome adapted while data colors stayed constant; same alpha transparency patterns maintained
+      Grid: Identical subtle horizontal grid lines maintained with appropriate opacity for dark theme
+      Legibility verdict: PASS - All text and data elements clearly readable with perfect theme adaptation
   criteria_checklist:
     visual_quality:
       score: 30
@@ -47,78 +51,68 @@ review:
         score: 8
         max: 8
         passed: true
-        comment: Title 24pt, axis labels 20pt, ticks 16pt—all readable in both themes
-          with explicit color tokens (INK for primary, INK_SOFT for secondary)
+        comment: All text properly sized and colored for both themes, no readability
+          issues
       - id: VQ-02
         name: No Overlap
         score: 6
         max: 6
         passed: true
-        comment: Top histogram, spacer, and main scatter compose without overlap;
-          right histogram aligns cleanly
+        comment: L-shaped layout prevents all overlaps, proper spacing between elements
       - id: VQ-03
         name: Element Visibility
         score: 6
         max: 6
         passed: true
-        comment: 200 points with 0.6 alpha reveal density clustering; 15-bin histograms
-          clearly visible; colors distinct and visible
+        comment: All 200 scatter points visible with density-appropriate alpha, histograms
+          clearly distinguishable
       - id: VQ-04
         name: Color Accessibility
         score: 2
         max: 2
         passed: true
-        comment: 'Okabe-Ito palette (#009E73 + #D55E00) provides colorblind-safe contrast;
-          no red-green sole signal'
+        comment: Okabe-Ito palette, CVD-safe, adequate contrast
       - id: VQ-05
         name: Layout & Canvas
         score: 4
         max: 4
         passed: true
-        comment: 4800x2700 landscape format; proportions balanced; no cut-off; spacer
-          properly fills corner
+        comment: Well-proportioned 16:9 landscape, nothing cropped, balanced composition
       - id: VQ-06
         name: Axis Labels & Title
         score: 2
         max: 2
         passed: true
-        comment: Title format matches spec (scatter-marginal · plotnine · anyplot.ai);
-          X and Y labels descriptive with units
+        comment: Proper format, descriptive labels with units
       - id: VQ-07
         name: Palette Compliance
         score: 2
         max: 2
         passed: true
-        comment: 'First series #009E73 (correct), marginals #D55E00 (position 2),
-          backgrounds #FAF8F1/#1A1A17 (correct), data colors identical across themes'
+        comment: 'First series #009E73, backgrounds correct, both renders theme-correct'
     design_excellence:
-      score: 13
+      score: 16
       max: 20
       items:
       - id: DE-01
         name: Aesthetic Sophistication
         score: 6
         max: 8
-        passed: false
-        comment: Okabe-Ito palette and clean layout show intentionality; however relies
-          on theme_minimal() defaults without custom refinement (no spine removal,
-          no typography variation)
+        passed: true
+        comment: Intentional L-shaped layout with custom sizing, clear hierarchy,
+          straightforward execution
       - id: DE-02
         name: Visual Refinement
-        score: 3
+        score: 5
         max: 6
-        passed: false
-        comment: Grid is subtle, whitespace generous, but top/right spines remain
-          visible—could be removed for more polish; borders around subplots are functional
-          but not refined
+        passed: true
+        comment: Minimal spines, subtle grid, generous whitespace
       - id: DE-03
         name: Data Storytelling
-        score: 4
+        score: 5
         max: 6
-        passed: false
-        comment: Layout clearly shows bivariate relationship and marginal distributions
-          with good hierarchy; focal point on scatter is clear; could benefit from
-          color emphasis or annotation to strengthen narrative
+        passed: true
+        comment: Clear visual hierarchy, correlation visually apparent
     spec_compliance:
       score: 15
       max: 15
@@ -128,29 +122,25 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: Implements scatter plot with marginal distributions (histograms)
-          correctly positioned
+        comment: Correct scatter plot with marginals
       - id: SC-02
         name: Required Features
         score: 4
         max: 4
         passed: true
-        comment: Main scatter plot + top marginal (x distribution) + right marginal
-          (y distribution); axes align; moderate transparency (0.6/0.7) reveals density;
-          subtle marginal colors
+        comment: Main scatter, top/right histograms, aligned axes
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: 'X: Study Hours (0–50); Y: Exam Score (30–105); limits show all 200
-          points without clipping'
+        comment: X and Y correctly mapped, full data range visible
       - id: SC-04
         name: Title & Legend
         score: 3
         max: 3
         passed: true
-        comment: Title follows spec format; single-series plot requires no legend
+        comment: Proper title format, no legend needed
     data_quality:
       score: 15
       max: 15
@@ -160,22 +150,19 @@ review:
         score: 6
         max: 6
         passed: true
-        comment: Displays scatter plot, x distribution, y distribution; 200 points
-          in recommended 50–1000 range; covers all aspects of scatter-marginal visualization
+        comment: Complete scatter-marginal visualization
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
-        comment: Study hours and exam scores are real-world plausible; positive correlation
-          realistic; data neutral (education context); distributions natural
+        comment: Study hours vs exam scores, realistic values and correlation
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: Study hours 0–50 (hours/week) sensible; exam scores 30–105 (0–100+
-          scale) realistic; 15 bins for 200 points appropriate
+        comment: Sensible axis ranges and data density
     code_quality:
       score: 10
       max: 10
@@ -185,59 +172,55 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: No unnecessary functions or classes; straightforward, easy to read
+        comment: Direct code, no unnecessary abstractions
       - id: CQ-02
         name: Reproducibility
         score: 2
         max: 2
         passed: true
-        comment: Uses np.random.seed(42) for deterministic data generation
+        comment: Uses np.random.seed(42)
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: All plotnine imports used; numpy and pandas used; no unused imports
+        comment: Only necessary imports
       - id: CQ-04
         name: Code Elegance
         score: 2
         max: 2
         passed: true
-        comment: No fake UI or simulated interactivity; appropriate complexity; clean
-          composition syntax
+        comment: No fake interactivity, plotnine composition used idiomatically
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves as plot-{THEME}.png; uses f-string with THEME variable; correct
-          matplotlib backend API
+        comment: Saves as plot-{THEME}.png correctly
     library_mastery:
-      score: 6
+      score: 7
       max: 10
       items:
       - id: LM-01
         name: Idiomatic Usage
         score: 4
         max: 5
-        passed: false
-        comment: Uses ggplot2 grammar of graphics idiomatically with + operator; theme()
-          for customization proper; composition operators (| /) idiomatic; could leverage
-          more advanced plotnine features
+        passed: true
+        comment: Grammar of graphics syntax, proper theme composition, figure sizing
+          per panel
       - id: LM-02
         name: Distinctive Features
-        score: 2
+        score: 3
         max: 5
-        passed: false
-        comment: Uses composition layout (| and /) and element_* theming; however
-          lacks distinctive plotnine-specific features beyond standard composition
+        passed: true
+        comment: Uses composition operators and plot_spacer, straightforward patterns
   verdict: APPROVED
 impl_tags:
   dependencies: []
-  techniques: []
+  techniques:
+  - subplots
+  - alpha-blending
   patterns:
   - data-generation
   dataprep: []
-  styling:
-  - alpha-blending
-  - grid-styling
+  styling: []