chore(plotly): update quality score 88 and review feedback for stereonet-equal-area

Author: github-actions[bot]

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

@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
 stereonet-equal-area: Structural Geology Stereonet (Equal-Area Projection)
 Library: plotly 6.6.0 | Python 3.14.3
-Quality: 85/100 | Created: 2026-03-15
+Quality: 88/100 | Created: 2026-03-15
 """
 
 import numpy as np

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

@@ -1,7 +1,7 @@
 library: plotly
 specification_id: stereonet-equal-area
 created: '2026-03-15T22:59:29Z'
-updated: '2026-03-15T23:24:00Z'
+updated: '2026-03-15T23:34:00Z'
 generated_by: claude-opus-4-5-20251101
 workflow_run: 23121188861
 issue: 4576
@@ -10,109 +10,108 @@ library_version: 6.6.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/plotly/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/plotly/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/stereonet-equal-area/plotly/plot.html
-quality_score: 85
+quality_score: 88
 review:
   strengths:
-  - 'Full spec compliance with all required features: great circles, poles, density
-    contours, grid, tick marks, and cardinal labels'
-  - Excellent data quality with realistic geological scenario showing four distinct
-    structural feature types
-  - Clean code with proper equal-area projection mathematics and vectorized operations
-  - Thoughtful design with styled annotation highlighting the dominant bedding fabric
-  - Interactive hover tooltips providing geological data (strike/dip) for each pole
+  - Mathematically correct equal-area (Schmidt) projection implementation
+  - All spec requirements fully met (great circles, poles, density contours, grid,
+    tick marks, legend)
+  - Realistic geological data with four distinct feature types showing varied orientations
+  - Effective use of Plotly-specific features (interactive density toggle, hover tooltips,
+    HTML export)
+  - Clean annotation highlighting dominant bedding fabric cluster adds data storytelling
+  - Warm density contour gradient is visually appealing and informative
   weaknesses:
-  - Density contours are too faint to be easily interpretable — colorscale max alpha
-    only 0.45
-  - Great circle arcs at 0.45 opacity are difficult to distinguish
-  - Green and orange colors may be hard to distinguish for colorblind viewers
+  - Design polish could be elevated further - color palette is good but not exceptional
+  - Some wasted canvas space on right side between stereonet and legend
+  - Markers could be slightly larger for optimal visibility at full resolution
   image_description: 'The plot displays a lower-hemisphere equal-area (Schmidt) stereonet
     projection on a white background. A black primitive circle defines the projection
-    boundary with tick marks every 10 degrees and bold cardinal direction labels (N,
-    E, S, W) at the perimeter. Degree labels (30, 60, 120, 150, 210, 240, 300, 330)
-    appear at 30-degree intervals. Inside the circle, a subtle dotted grid shows small
-    circles at 30 and 60 degree inclination plus N-S and E-W diameter lines. Four
-    feature types are plotted as colored poles (dots with white edges): blue (Bedding)
-    clustered in the center-south, orange (Joint Set 1) near the east, green (Joint
-    Set 2) in the south, and purple (Fault) scattered in the southwest. Semi-transparent
-    great circle arcs are drawn for representative planes in matching colors. Very
-    subtle warm-toned density contours (yellow-orange-red) highlight pole concentrations,
-    most visibly around the bedding and joint set 1 clusters. An annotation with arrow
-    points to the bedding cluster reading "Dominant NE-striking bedding fabric." The
-    legend in the upper-right shows "Feature Type" with four entries. Title reads
-    "stereonet-equal-area · plotly · pyplots.ai" with subtitle "Lower Hemisphere,
-    Equal-Area (Schmidt) Projection."'
+    boundary, with cardinal directions (N, S, E, W) labeled in bold black text and
+    degree marks (30°, 60°, 120°, 150°, 210°, 240°, 300°, 330°) in gray around the
+    perimeter. Tick marks appear every 10° around the circle edge, with longer ticks
+    at 30° intervals. Inside, subtle dotted gray grid lines show two concentric circles
+    (30° and 60° inclination) and N-S/E-W diameter lines. Four feature types are plotted
+    as colored circular markers with white borders: Bedding (dark blue, clustered
+    in the lower-center), Joint Set 1 (orange, clustered on the east side), Joint
+    Set 2 (teal, clustered in the south), and Fault (purple, scattered in the lower-left).
+    Color-coded great circles are drawn for representative planes of each type. Warm
+    yellow-orange-red density contours (Kamb-style KDE) highlight the bedding cluster
+    as the dominant concentration. An annotation with an arrow labels the bedding
+    cluster "Dominant NE-striking bedding fabric." A legend titled "Feature Type"
+    sits to the upper right outside the circle. Interactive toggle buttons ("Show
+    Density" / "Hide Density") appear at the bottom left. The title reads "stereonet-equal-area
+    · plotly · pyplots.ai" with subtitle "Lower Hemisphere, Equal-Area (Schmidt) Projection."'
   criteria_checklist:
     visual_quality:
-      score: 24
+      score: 27
       max: 30
       items:
       - id: VQ-01
         name: Text Legibility
         score: 7
         max: 8
         passed: true
-        comment: Font sizes explicitly set throughout (title 28, cardinal 22, degrees
-          15, legend 20/18). Annotation at 14pt slightly small but readable.
+        comment: All font sizes explicitly set (title=28, cardinal=22, degrees=15,
+          legend=20/18, annotation=14). All readable; annotation text slightly small.
       - id: VQ-02
         name: No Overlap
-        score: 5
+        score: 6
         max: 6
         passed: true
-        comment: Minor marker overlap in tightly clustered bedding poles, expected
-          for realistic data. No text collisions.
+        comment: No overlapping text or data elements
       - id: VQ-03
         name: Element Visibility
-        score: 4
+        score: 5
         max: 6
-        passed: false
-        comment: Density contours very faint and hard to interpret. Great circles
-          at 0.45 opacity difficult to distinguish.
+        passed: true
+        comment: Markers size 13 with white borders visible and distinguishable. Could
+          be slightly larger for optimal visibility.
       - id: VQ-04
         name: Color Accessibility
-        score: 3
+        score: 4
         max: 4
         passed: true
-        comment: Blue/orange/green/purple mostly colorblind-safe but green-orange
-          borderline for deuteranopia.
+        comment: Blue, orange, teal, purple palette is colorblind-safe with good contrast
       - id: VQ-05
         name: Layout & Canvas
         score: 3
         max: 4
         passed: true
-        comment: Stereonet well-centered but right margin for legend creates some
-          wasted space.
+        comment: Stereonet well-centered. Some empty space on right between circle
+          and legend.
       - id: VQ-06
         name: Axis Labels & Title
         score: 2
         max: 2
         passed: true
-        comment: Cardinal directions, degree tick labels, descriptive subtitle with
-          projection type.
+        comment: Descriptive title with projection subtitle. Cardinal directions serve
+          as axis labels.
     design_excellence:
-      score: 15
+      score: 13
       max: 20
       items:
       - id: DE-01
         name: Aesthetic Sophistication
-        score: 6
+        score: 5
         max: 8
         passed: true
-        comment: Custom palette anchored on Python Blue, styled annotation box, subtitle
-          typography, white marker edges.
+        comment: Custom cohesive palette, warm density gradient, white marker edges.
+          Above defaults but not publication-level.
       - id: DE-02
         name: Visual Refinement
-        score: 5
+        score: 4
         max: 6
         passed: true
-        comment: Axes hidden, subtle dotted grid, transparent density contours, white
-          marker edges, generous whitespace.
+        comment: Axes hidden, subtle dotted grid, transparent contours, clean white
+          background.
       - id: DE-03
         name: Data Storytelling
         score: 4
         max: 6
         passed: true
-        comment: Annotation highlights dominant bedding fabric, density contours guide
-          attention, color-coded groups create hierarchy.
+        comment: Annotation highlights dominant bedding fabric. Density contours guide
+          eye. Clear feature type separation.
     spec_compliance:
       score: 15
       max: 15
@@ -122,27 +121,26 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: Correct lower-hemisphere equal-area Schmidt net projection.
+        comment: Correct equal-area Schmidt lower-hemisphere stereonet
       - id: SC-02
         name: Required Features
         score: 4
         max: 4
         passed: true
-        comment: Great circles, poles, color-coding, legend, density contours, tick
-          marks, N label, grid all present.
+        comment: 'All spec features present: great circles, poles, density contours,
+          grid, ticks, legend'
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: Strike/dip correctly converted to pole positions using equal-area
-          projection formula.
+        comment: Strike/dip correctly converted to equal-area projection
       - id: SC-04
         name: Title & Legend
         score: 3
         max: 3
         passed: true
-        comment: Title follows spec-id format, legend labels match feature types.
+        comment: Correct title format and legend labels
     data_quality:
       score: 15
       max: 15
@@ -152,21 +150,20 @@ review:
         score: 6
         max: 6
         passed: true
-        comment: Four distinct feature types with different orientations showing clustered
-          and dispersed patterns.
+        comment: Four feature types with varied orientations, dip angles, and cluster
+          sizes
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
-        comment: Authentic structural geology field measurement scenario with plausible
-          orientations.
+        comment: Realistic geological field measurement scenario with plausible orientations
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: Strike 0-360, dip 0-90, 55 measurements within realistic range.
+        comment: Strike 0-360°, dip 0-90°, realistic distributions
     code_quality:
       score: 10
       max: 10
@@ -176,49 +173,48 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: Clean imports-data-plot-save flow, no functions or classes.
+        comment: Linear flow, no functions or classes
       - id: CQ-02
         name: Reproducibility
         score: 2
         max: 2
         passed: true
-        comment: np.random.seed(42) set.
+        comment: np.random.seed(42) set
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: 'All imports used: numpy, plotly.graph_objects, scipy.stats.gaussian_kde.'
+        comment: All imports used
       - id: CQ-04
         name: Code Elegance
         score: 2
         max: 2
         passed: true
-        comment: Vectorized operations, well-organized with clear comments.
+        comment: Clean code. Interactive buttons are legitimate Plotly features.
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves plot.png at 4800x2700 and plot.html.
+        comment: Saves as plot.png and plot.html with current API
     library_mastery:
-      score: 6
+      score: 8
       max: 10
       items:
       - id: LM-01
         name: Idiomatic Usage
-        score: 3
+        score: 4
         max: 5
-        passed: false
-        comment: Uses Plotly API correctly but stereonet is manually constructed —
-          Plotly serves mainly as drawing canvas.
+        passed: true
+        comment: Good use of go.Figure, go.Scatter, go.Contour, customdata, hovertemplate,
+          scaleanchor
       - id: LM-02
         name: Distinctive Features
-        score: 3
+        score: 4
         max: 5
-        passed: false
-        comment: Hover tooltips for geological data and HTML export are meaningful
-          Plotly features, but core projection is library-agnostic.
+        passed: true
+        comment: Interactive updatemenus buttons, customdata+hovertemplate, HTML export
   verdict: REJECTED
 impl_tags:
   dependencies:
@@ -228,13 +224,15 @@ impl_tags:
   - hover-tooltips
   - html-export
   - polar-projection
+  - custom-legend
   patterns:
   - data-generation
   - iteration-over-groups
   dataprep:
   - kde
   styling:
+  - custom-colormap
   - alpha-blending
   - edge-highlighting
-  - custom-colormap
   - grid-styling
+  - minimal-chrome