chore(bokeh): update quality score 84 and review feedback for stereonet-equal-area

Author: github-actions[bot]

plots/stereonet-equal-area/implementations/bokeh.py

@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
 stereonet-equal-area: Structural Geology Stereonet (Equal-Area Projection)
 Library: bokeh 3.9.0 | Python 3.14.3
-Quality: 75/100 | Created: 2026-03-15
+Quality: 84/100 | Created: 2026-03-15
 """
 
 import numpy as np

plots/stereonet-equal-area/metadata/bokeh.yaml

@@ -1,7 +1,7 @@
 library: bokeh
 specification_id: stereonet-equal-area
 created: '2026-03-15T22:59:30Z'
-updated: '2026-03-15T23:03:33Z'
+updated: '2026-03-15T23:16:25Z'
 generated_by: claude-opus-4-5-20251101
 workflow_run: 23121188869
 issue: 4576
@@ -10,122 +10,133 @@ library_version: 3.9.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/bokeh/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/bokeh/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/bokeh/plot.html
-quality_score: 75
+quality_score: 84
 review:
   strengths:
-  - Correct equal-area projection math with proper pole and great circle computations
-  - Good colorblind-safe palette (blue/orange/purple) with appropriate alpha blending
-    on great circles
-  - Realistic geological data with three well-differentiated structural feature types
-  - Clean stereonet presentation with hidden axes, styled tick marks, and cardinal
-    direction labels
+  - 'Full spec compliance: all required features including grid lines, density overlay,
+    and degree labels'
+  - 'Excellent Bokeh-specific features: HoverTool, interactive legend, image_rgba,
+    HTML export'
+  - Clean removal of matplotlib dependency — density rendered natively with Bokeh
+    image_rgba
+  - Well-chosen colorblind-safe palette with intentional visual hierarchy
+  - Correct equal-area projection math throughout
   weaknesses:
-  - Missing stereonet grid lines (equal-area net) required by spec
-  - Legend too small and isolated in far upper-right corner
-  - Title and text sizes appear small relative to 3600px canvas
-  - Density contours too faint to communicate clustering
-  - No degree labels around perimeter
-  - Relies on matplotlib for contour extraction instead of Bokeh-native approach
-  - Does not leverage distinctive Bokeh features (HoverTool, interactive legend)
-  image_description: 'The plot shows a Schmidt equal-area (lower-hemisphere) stereonet
-    rendered as a circle with N at top, S at bottom, E at right, W at left. Three
-    geological feature types are displayed: Bedding (blue #306998 poles clustered
-    in the NW quadrant with great circles sweeping across the net), Joints (orange
-    #E8833A poles near the S edge with great circles extending E-W), and Faults (purple
-    #8B5CF6 poles clustered in the SW quadrant with great circles arcing NW-SE). Tick
-    marks appear every 10 degrees around the perimeter with thicker marks at cardinal
-    directions. Dotted gray density contour lines are faintly visible around the Faults
-    pole cluster. The title "stereonet-equal-area · bokeh · pyplots.ai" is at the
-    top. A small legend with colored dots and labels sits in the upper-right corner.
-    The background is white with no axes or grid visible. The stereonet circle fills
-    roughly 60% of the 3600x3600 canvas.'
+  - KDE density heatmap overlay too faint — grayish shading barely visible, fails
+    to communicate clustering density
+  - Nested Python for-loop for RGBA construction is slow and verbose — should be vectorized
+    with numpy
+  - Great circles create visual clutter in dense areas at alpha=0.4
+  - Design needs stronger density visualization to reach publication quality
+  image_description: 'The plot shows a lower-hemisphere equal-area (Schmidt net) stereonet
+    rendered as a circle on a white 3600x3600 canvas. N is at the top, S at bottom,
+    E at right, W at left, each in bold dark text (N is larger at ~38pt). Degree labels
+    appear every 30 degrees around the perimeter (30, 60, 120, etc.) in gray. Tick
+    marks are drawn every 10 degrees with thicker marks at cardinal and 30-degree
+    intervals. Inside the primitive circle, subtle light gray grid lines form small
+    circles at 10-degree dip intervals and great circle arcs at 30-degree azimuth
+    intervals. Three geological feature types are plotted: Bedding (blue #306998,
+    ~40 measurements clustered in the NW quadrant), Joints (orange #E8833A, clustered
+    near the S-SE region), and Faults (purple #8B5CF6, clustered in the SW quadrant).
+    Both great circles (semi-transparent, alpha=0.4) and poles (solid dots with white
+    edges, size=22) are shown for each type. A grayish KDE density heatmap overlay
+    is faintly visible behind the pole clusters. A styled legend in the upper-right
+    corner lists all three types. The title is centered at top, with an italic subtitle
+    at bottom describing the projection type.'
   criteria_checklist:
     visual_quality:
-      score: 23
+      score: 26
       max: 30
       items:
       - id: VQ-01
         name: Text Legibility
-        score: 5
+        score: 7
         max: 8
         passed: true
-        comment: Font sizes explicitly set but appear small at 3600px canvas; legend
-          barely readable
+        comment: 'All font sizes explicitly set: title 38pt, N 38pt, cardinals 30pt,
+          degree labels 18pt, legend 26pt. Degree labels slightly small for 3600px
+          but readable'
       - id: VQ-02
         name: No Overlap
         score: 6
         max: 6
         passed: true
-        comment: No overlapping text or data elements
+        comment: No overlapping text; all labels cleanly separated
       - id: VQ-03
         name: Element Visibility
-        score: 5
+        score: 4
         max: 6
         passed: true
-        comment: Poles and great circles visible; density contours very faint
+        comment: Poles visible at size=22 with white edge; great circles create clutter
+          in dense areas; KDE density heatmap too faint
       - id: VQ-04
         name: Color Accessibility
         score: 4
         max: 4
         passed: true
-        comment: Blue/orange/purple palette is colorblind-safe
+        comment: Blue/orange/purple palette is colorblind-safe with excellent contrast
       - id: VQ-05
         name: Layout & Canvas
-        score: 2
+        score: 3
         max: 4
-        passed: false
-        comment: Legend isolated in upper-right; some wasted whitespace
+        passed: true
+        comment: Square format correct; net fills ~60% of canvas; slight wasted space
+          below subtitle
       - id: VQ-06
         name: Axis Labels & Title
-        score: 1
+        score: 2
         max: 2
-        passed: false
-        comment: Cardinal directions present but no degree markings around perimeter
+        passed: true
+        comment: Cardinal directions and degree labels serve as orientation; descriptive
+          title and subtitle
     design_excellence:
-      score: 11
+      score: 12
       max: 20
       items:
       - id: DE-01
         name: Aesthetic Sophistication
-        score: 4
+        score: 5
         max: 8
-        passed: false
-        comment: Custom palette and alpha blending; well-configured but not exceptional
+        passed: true
+        comment: Custom palette, alpha-blended great circles, styled legend — above
+          defaults but not publication-quality
       - id: DE-02
         name: Visual Refinement
         score: 4
         max: 6
         passed: true
-        comment: Axes/grid hidden, outline removed, styled tick marks — good refinement
+        comment: Axes hidden, custom grid, outline removed, tick marks with varying
+          weight, styled legend background
       - id: DE-03
         name: Data Storytelling
         score: 3
         max: 6
-        passed: false
-        comment: Clustering patterns visible but contours too faint to tell density
-          story
+        passed: true
+        comment: Three distinct clusters visible with visual hierarchy; density overlay
+          too faint to highlight preferred orientations
     spec_compliance:
-      score: 14
+      score: 15
       max: 15
       items:
       - id: SC-01
         name: Plot Type
         score: 5
         max: 5
         passed: true
-        comment: Correct equal-area lower-hemisphere projection
+        comment: Correct lower-hemisphere equal-area Schmidt net projection
       - id: SC-02
         name: Required Features
-        score: 3
+        score: 4
         max: 4
-        passed: false
-        comment: Missing stereonet grid lines (equal-area net) specified in spec
+        passed: true
+        comment: 'All features present: great circles, poles, grid lines, density
+          overlay, tick marks, degree labels, legend'
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: Strike/dip correctly converted to equal-area projection
+        comment: Strike/dip correctly projected to equal-area coordinates
       - id: SC-04
         name: Title & Legend
         score: 3
@@ -141,20 +152,20 @@ review:
         score: 5
         max: 6
         passed: true
-        comment: Three distinct feature types with different orientations and dip
-          angles
+        comment: Three feature types with different orientations and dip angles; good
+          clustering variation
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
-        comment: Realistic structural geology field measurements
+        comment: Realistic structural geology field measurement scenario
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: Strike 0-360°, dip 5-89° — proper geological ranges
+        comment: Strike 0-360, dip 5-89 — proper geological ranges
     code_quality:
       score: 9
       max: 10
@@ -170,7 +181,7 @@ review:
         score: 2
         max: 2
         passed: true
-        comment: np.random.seed(42) set
+        comment: np.random.seed(42) set at start
       - id: CQ-03
         name: Clean Imports
         score: 2
@@ -181,47 +192,52 @@ review:
         name: Code Elegance
         score: 1
         max: 2
-        passed: false
-        comment: Matplotlib import for contour extraction adds complexity
+        passed: true
+        comment: Double nested for-loop for RGBA construction is verbose; should be
+          vectorized
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves plot.png and plot.html
+        comment: Saves plot.png and plot.html; current API
     library_mastery:
-      score: 4
+      score: 8
       max: 10
       items:
       - id: LM-01
         name: Idiomatic Usage
-        score: 3
+        score: 4
         max: 5
-        passed: false
-        comment: Correct Bokeh patterns but relies on matplotlib for contour extraction
+        passed: true
+        comment: Uses ColumnDataSource, multi_line, scatter, Label, Legend, image_rgba
+          — proper Bokeh patterns
       - id: LM-02
         name: Distinctive Features
-        score: 1
+        score: 4
         max: 5
-        passed: false
-        comment: Generic usage; Bokeh used as basic renderer without HoverTool or
-          interactive features
+        passed: true
+        comment: HoverTool, interactive legend click_policy, image_rgba, HTML export
+          — distinctively Bokeh
   verdict: REJECTED
 impl_tags:
   dependencies:
   - scipy
   techniques:
-  - annotations
-  - custom-legend
   - polar-projection
+  - hover-tooltips
+  - custom-legend
+  - annotations
   - html-export
   patterns:
   - data-generation
   - iteration-over-groups
   - columndatasource
+  - matrix-construction
   dataprep:
   - kde
   styling:
   - minimal-chrome
   - alpha-blending
+  - grid-styling
   - edge-highlighting