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

Comprehensive quality review with improved visual design, data quality, and spec compliance.

Author: MarkusNeusinger

plots/density-basic/implementations/seaborn.py

@@ -1,38 +1,36 @@
 """ pyplots.ai
 density-basic: Basic Density Plot
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 93/100 | Created: 2025-12-23
+Library: seaborn 0.13.2 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import matplotlib.pyplot as plt
 import numpy as np
 import seaborn as sns
 
 
-# Data - create a realistic bimodal distribution of test scores
+# Data - bimodal distribution of test scores
 np.random.seed(42)
 test_scores = np.concatenate(
     [
-        np.random.normal(72, 10, 300),  # Main group centered at 72
-        np.random.normal(88, 5, 100),  # High achievers group
+        np.random.normal(68, 8, 280),  # Main group centered at 68
+        np.random.normal(90, 4, 120),  # High achievers group
     ]
 )
 
-# Create figure
+# Plot
 fig, ax = plt.subplots(figsize=(16, 9))
-
-# Plot density curve with fill
 sns.kdeplot(data=test_scores, ax=ax, fill=True, alpha=0.6, color="#306998", linewidth=3)
-
-# Add rug plot to show individual observations
 sns.rugplot(data=test_scores, ax=ax, color="#306998", alpha=0.3, height=0.03)
 
 # Style
 ax.set_xlabel("Test Score (points)", fontsize=20)
 ax.set_ylabel("Density", fontsize=20)
-ax.set_title("density-basic · seaborn · pyplots.ai", fontsize=24)
+ax.set_title("density-basic · seaborn · pyplots.ai", fontsize=24, fontweight="medium")
 ax.tick_params(axis="both", labelsize=16)
-ax.grid(True, alpha=0.3, linestyle="--")
+ax.spines["top"].set_visible(False)
+ax.spines["right"].set_visible(False)
+ax.yaxis.grid(True, alpha=0.2, linewidth=0.8)
 
 plt.tight_layout()
 plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/density-basic/metadata/seaborn.yaml

@@ -1,25 +1,25 @@
 library: seaborn
 specification_id: density-basic
 created: '2025-12-23T10:00:16Z'
-updated: '2025-12-23T10:02:21Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T22:38:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20457532266
 issue: 0
-python_version: 3.13.11
+python_version: 3.14.3
 library_version: 0.13.2
 preview_url: https://storage.googleapis.com/pyplots-images/plots/density-basic/seaborn/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/density-basic/seaborn/plot_thumb.png
 preview_html: null
-quality_score: 93
+quality_score: null
 impl_tags:
   dependencies: []
   techniques: []
   patterns:
-    - data-generation
+  - data-generation
   dataprep:
-    - kde
+  - kde
   styling:
-    - alpha-blending
+  - alpha-blending
 review:
   strengths:
   - Excellent use of seaborn kdeplot with fill and rugplot combination for statistical