feat(pygal): implement raincloud-basic

plots/raincloud-basic/implementations/pygal.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 raincloud-basic: Basic Raincloud Plot
 Library: pygal 3.1.0 | Python 3.13.11
-Quality: 78/100 | Created: 2025-12-25
+Quality: 91/100 | Created: 2025-12-25
 """
 
 import numpy as np
@@ -26,13 +26,14 @@
 group_colors = ["#306998", "#FFD43B", "#4CAF50"]
 
 # Custom style for 4800x2700 px canvas - scaled up for visibility
+# Using very subtle grid lines (low alpha via lighter color)
 custom_style = Style(
     background="white",
     plot_background="white",
     foreground="#333333",
     foreground_strong="#333333",
     foreground_subtle="#999999",
-    guide_stroke_color="#cccccc",
+    guide_stroke_color="#e8e8e8",  # Very light guide lines for subtle grid
     colors=tuple(group_colors * 3) + ("#222222",) * 30,
     title_font_size=96,
     label_font_size=60,
@@ -55,6 +56,8 @@
     x_title="Treatment Group",
     y_title="Reaction Time (ms)",
     show_legend=False,
+    legend_at_bottom=False,
+    legend_box_size=0,
     stroke=True,
     fill=True,
     dots_size=0,
@@ -124,13 +127,13 @@
     whisker_high = float(min(values.max(), q3 + 1.5 * iqr))
     box_data.append((center_x, median, q1, q3, whisker_low, whisker_high, group_colors[i]))
 
-# Add clouds (half-violins) - no labels since y-axis labels already show groups
+# Add clouds (half-violins) - using empty string for label to suppress legend
 for _category, cloud_points, _color in cloud_data:
-    chart.add(None, cloud_points, stroke=True, fill=True)
+    chart.add("", cloud_points, stroke=True, fill=True)
 
-# Add rain points - increased dots_size for visibility on 4800x2700 canvas
+# Add rain points - increased dots_size for better visibility on 4800x2700 canvas
 for _category, rain_points, _color in rain_data:
-    chart.add(None, rain_points, stroke=False, fill=False, dots_size=24)
+    chart.add("", rain_points, stroke=False, fill=False, dots_size=32)
 
 # Add box plots - vertical boxes centered at each group
 # Significantly increased line weights for 4800x2700 canvas
@@ -146,23 +149,23 @@
         (center_x + box_width, q1),
         (center_x - box_width, q1),
     ]
-    chart.add(None, quartile_box, stroke=True, fill=False, show_dots=False, stroke_style={"width": 20})
+    chart.add("", quartile_box, stroke=True, fill=False, show_dots=False, stroke_style={"width": 20})
 
     # Median line (horizontal line within box) - thickest for emphasis
     median_line = [(center_x - box_width * 1.3, median), (center_x + box_width * 1.3, median)]
-    chart.add(None, median_line, stroke=True, fill=False, show_dots=False, stroke_style={"width": 28})
+    chart.add("", median_line, stroke=True, fill=False, show_dots=False, stroke_style={"width": 28})
 
     # Whiskers (vertical lines from box to caps)
     whisker_bottom = [(center_x, whisker_low), (center_x, q1)]
     whisker_top = [(center_x, q3), (center_x, whisker_high)]
-    chart.add(None, whisker_bottom, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
-    chart.add(None, whisker_top, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
+    chart.add("", whisker_bottom, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
+    chart.add("", whisker_top, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
 
     # Whisker caps (horizontal lines at ends)
     cap_bottom = [(center_x - cap_width, whisker_low), (center_x + cap_width, whisker_low)]
     cap_top = [(center_x - cap_width, whisker_high), (center_x + cap_width, whisker_high)]
-    chart.add(None, cap_bottom, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
-    chart.add(None, cap_top, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
+    chart.add("", cap_bottom, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
+    chart.add("", cap_top, stroke=True, fill=False, show_dots=False, stroke_style={"width": 14})
 
 # X-axis labels for treatment groups
 chart.x_labels = [

plots/raincloud-basic/metadata/pygal.yaml

@@ -1,28 +1,24 @@
 library: pygal
 specification_id: raincloud-basic
-created: '2025-12-25T07:14:50Z'
-updated: '2025-12-25T07:36:01Z'
+created: '2025-12-25T08:21:24Z'
+updated: '2025-12-25T08:23:33Z'
 generated_by: claude-opus-4-5-20251101
-workflow_run: 20500987018
+workflow_run: 20501866165
 issue: 0
 python_version: 3.13.11
 library_version: 3.1.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/raincloud-basic/pygal/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/raincloud-basic/pygal/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/raincloud-basic/pygal/plot.html
-quality_score: 78
+quality_score: 91
 review:
   strengths:
-  - Correct raincloud layout with cloud on right, boxplot centered, rain on left (vertical
-    orientation per spec)
-  - Excellent use of pygal XY chart to build complex composite visualization from
-    scratch
-  - Colorblind-safe palette with good contrast between groups
-  - Realistic clinical trial reaction time scenario
-  - Manual KDE implementation with proper Silverman bandwidth
-  - Proper box plot components including whisker caps
+  - Excellent manual implementation of raincloud plot using pygal XY chart primitives
+  - Clean KDE computation using Silverman rule for bandwidth estimation
+  - Correct vertical raincloud layout with cloud on right, rain on left as per spec
+  - Well-scaled font sizes for the 4800x2700 canvas
+  - Colorblind-safe color palette
+  - Realistic reaction time data with appropriate outliers showing distribution differences
   weaknesses:
-  - Legend displays despite show_legend=False setting - use chart configuration to
-    fully suppress
-  - Rain dots could be slightly larger for better visibility at 4800x2700 resolution
-  - Grid lines are present but could be more subtle (lower alpha)
+  - Box plot elements could be slightly thicker/more visible relative to the half-violin
+  - No interactive tooltips leveraging pygal SVG interactivity capabilities