update(density-basic): pygal — comprehensive quality review

Comprehensive quality review: larger fonts, improved rug visibility, CSS styling.

Author: MarkusNeusinger

plots/density-basic/implementations/pygal.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 density-basic: Basic Density Plot
-Library: pygal 3.1.0 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: pygal 3.1.0 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import numpy as np
@@ -11,36 +11,38 @@
 
 # Data - simulated test scores showing slightly left-skewed distribution
 np.random.seed(42)
-values = np.concatenate(
+scores = np.concatenate(
     [
         np.random.normal(75, 8, 200),  # Main cluster around 75
-        np.random.normal(60, 5, 50),  # Smaller cluster showing slight left skew
+        np.random.normal(58, 5, 50),  # Smaller cluster showing left skew
     ]
 )
 
-
-# Compute KDE using Gaussian kernel
-x_range = np.linspace(values.min() - 10, values.max() + 10, 200)
-n = len(values)
-bandwidth = n ** (-1 / 5) * np.std(values)  # Scott's rule
+# Compute KDE using Gaussian kernel with Scott's rule bandwidth
+x_range = np.linspace(scores.min() - 10, scores.max() + 10, 300)
+n = len(scores)
+bandwidth = n ** (-1 / 5) * np.std(scores)
 density = np.zeros_like(x_range)
-for xi in values:
+for xi in scores:
     density += np.exp(-0.5 * ((x_range - xi) / bandwidth) ** 2)
 density /= n * bandwidth * np.sqrt(2 * np.pi)
 
-# Custom style for 4800x2700 px (scaled 3x from template for large canvas)
+# Custom style — clean white, refined typography for 4800x2700 canvas
 custom_style = Style(
     background="white",
     plot_background="white",
-    foreground="#333",
-    foreground_strong="#333",
-    foreground_subtle="#666",
-    colors=("#306998",),
-    title_font_size=56,
-    label_font_size=42,
-    major_label_font_size=36,
-    legend_font_size=36,
+    foreground="#333333",
+    foreground_strong="#333333",
+    foreground_subtle="#e0e0e0",
+    colors=("#306998", "#1a4971"),
+    title_font_size=72,
+    label_font_size=44,
+    major_label_font_size=40,
+    legend_font_size=40,
     value_font_size=32,
+    stroke_width=5,
+    opacity=0.70,
+    opacity_hover=0.85,
 )
 
 # Create XY chart for continuous density curve
@@ -50,31 +52,38 @@
     style=custom_style,
     title="density-basic · pygal · pyplots.ai",
     x_title="Test Score (points)",
-    y_title="Probability Density",
+    y_title="Density",
     show_dots=False,
-    stroke_style={"width": 3},
     fill=True,
     show_legend=False,
     show_y_guides=True,
     show_x_guides=False,
+    stroke_style={"width": 5, "linecap": "round"},
+    truncate_label=-1,
+    css=[
+        "file://style.css",
+        "inline:.plot .background {fill: white; stroke: none !important;}",
+        "inline:.axis .guides .line {stroke: #e8e8e8 !important; stroke-width: 1px;}",
+        "inline:.axis .line {stroke: #cccccc !important; stroke-width: 1.5px;}",
+    ],
+    js=[],
 )
 
-# Add density curve data as XY points
+# Add density curve as XY points
 xy_data = [(float(x), float(y)) for x, y in zip(x_range, density, strict=True)]
 chart.add("Density", xy_data)
 
-# Add rug plot as small vertical marks along x-axis (sampled for clarity)
-rug_height = max(density) * 0.02  # Small height for rug marks
-rug_sample = values[::5]  # Sample every 5th point to avoid clutter
+# Add rug plot as individual vertical marks along x-axis
+rug_height = max(density) * 0.06
+rug_sample = scores[::3]  # Sample every 3rd point for good coverage
 rug_data = []
-for xi in rug_sample:
-    rug_data.append((float(xi), 0))
+for xi in sorted(rug_sample):
+    rug_data.append((float(xi), 0.0))
     rug_data.append((float(xi), float(rug_height)))
-    rug_data.append((float(xi), 0))
+    rug_data.append((float(xi), 0.0))
 
-# Add rug marks as a separate series with thinner stroke
-chart.add("Observations", rug_data, stroke_style={"width": 1}, show_dots=False, fill=False)
+chart.add("Observations", rug_data, stroke_style={"width": 2.5, "linecap": "round"}, show_dots=False, fill=False)
 
-# Save as PNG and HTML
+# Save outputs
 chart.render_to_png("plot.png")
 chart.render_to_file("plot.html")

plots/density-basic/metadata/pygal.yaml

@@ -1,16 +1,16 @@
 library: pygal
 specification_id: density-basic
 created: '2025-12-23T10:02:37Z'
-updated: '2025-12-23T10:10:11Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T22:38:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20457535852
 issue: 0
-python_version: 3.13.11
+python_version: 3.14.3
 library_version: 3.1.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/density-basic/pygal/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/density-basic/pygal/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/density-basic/pygal/plot.html
-quality_score: 91
+quality_score: null
 impl_tags:
   dependencies: []
   techniques: