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

plots/density-basic/implementations/plotnine.py

@@ -1,21 +1,25 @@
 """ pyplots.ai
 density-basic: Basic Density Plot
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import numpy as np
 import pandas as pd
 from plotnine import (
     aes,
+    after_stat,
     coord_cartesian,
+    element_blank,
     element_line,
     element_text,
-    geom_density,
+    geom_area,
+    geom_line,
     geom_rug,
     ggplot,
     labs,
     scale_x_continuous,
+    scale_y_continuous,
     theme,
     theme_minimal,
 )
@@ -29,27 +33,30 @@
         np.random.normal(88, 5, 50),  # High achievers
     ]
 )
-test_scores = np.clip(test_scores, 0, 100)  # Scores between 0-100
+test_scores = np.clip(test_scores, 0, 100)
 
 df = pd.DataFrame({"score": test_scores})
 
-# Plot with bandwidth adjustment for smoother curve
+# Plot - layered density using stat_density for filled area + outline
 plot = (
     ggplot(df, aes(x="score"))
-    + geom_density(fill="#306998", color="#306998", alpha=0.6, size=1.5, bw="scott")
-    + geom_rug(color="#FFD43B", alpha=0.7, size=1)
+    + geom_area(aes(y=after_stat("density")), stat="density", fill="#306998", alpha=0.5, color="none")
+    + geom_line(aes(y=after_stat("density")), stat="density", color="#1a3d5c", size=1.8)
+    + geom_rug(color="#306998", alpha=0.4, size=0.8)
     + labs(x="Test Score (points)", y="Probability Density", title="density-basic · plotnine · pyplots.ai")
-    + scale_x_continuous(limits=(30, 100), breaks=range(30, 101, 10))
-    + coord_cartesian(xlim=(30, 100))
+    + scale_x_continuous(breaks=range(40, 101, 10))
+    + scale_y_continuous(expand=(0, 0, 0.05, 0))
+    + coord_cartesian(xlim=(40, 102))
     + theme_minimal()
     + theme(
         figure_size=(16, 9),
         text=element_text(size=14),
         axis_title=element_text(size=20),
         axis_text=element_text(size=16),
         plot_title=element_text(size=24),
-        panel_grid_major=element_line(color="#cccccc", alpha=0.3),
-        panel_grid_minor=element_line(color="#eeeeee", alpha=0.2),
+        panel_grid_major_x=element_blank(),
+        panel_grid_minor=element_blank(),
+        panel_grid_major_y=element_line(color="#cccccc", alpha=0.2, size=0.5),
     )
 )
 

plots/density-basic/metadata/plotnine.yaml

@@ -1,26 +1,26 @@
 library: plotnine
 specification_id: density-basic
 created: '2025-12-23T10:00:30Z'
-updated: '2025-12-23T10:04:55Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T22:38:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20457535942
 issue: 0
-python_version: 3.13.11
-library_version: 0.15.2
+python_version: 3.14.3
+library_version: 0.15.3
 preview_url: https://storage.googleapis.com/pyplots-images/plots/density-basic/plotnine/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/density-basic/plotnine/plot_thumb.png
 preview_html: null
-quality_score: 91
+quality_score: null
 impl_tags:
   dependencies: []
   techniques:
-    - layer-composition
+  - layer-composition
   patterns:
-    - data-generation
+  - data-generation
   dataprep:
-    - kde
+  - kde
   styling:
-    - alpha-blending
+  - alpha-blending
 review:
   strengths:
   - Clean plotnine grammar of graphics implementation using geom_density with appropriate