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

Comprehensive quality review of seaborn band-basic implementation.

Author: MarkusNeusinger

plots/band-basic/implementations/seaborn.py

@@ -1,7 +1,7 @@
-""" pyplots.ai
+"""pyplots.ai
 band-basic: Basic Band Plot
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 98/100 | Created: 2025-12-23
+Library: seaborn 0.13.2 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import matplotlib.pyplot as plt
@@ -17,23 +17,31 @@
 y_lower = y_center - 1.96 * noise_scale
 y_upper = y_center + 1.96 * noise_scale
 
-# Create figure
-sns.set_style("whitegrid")
+# Plot
+sns.set_theme(
+    style="whitegrid",
+    rc={
+        "axes.spines.top": False,
+        "axes.spines.right": False,
+        "grid.alpha": 0.2,
+        "grid.linewidth": 0.8,
+        "grid.linestyle": "--",
+    },
+)
 fig, ax = plt.subplots(figsize=(16, 9))
 
-# Band plot: confidence interval as filled region
+# Band: confidence interval as filled region
 ax.fill_between(x, y_lower, y_upper, alpha=0.3, color="#306998", label="95% Confidence Interval")
 
 # Central trend line using seaborn
 sns.lineplot(x=x, y=y_center, ax=ax, linewidth=3, color="#FFD43B", label="Mean Trend")
 
-# Styling
+# Style
 ax.set_xlabel("Time (s)", fontsize=20)
 ax.set_ylabel("Amplitude", fontsize=20)
-ax.set_title("band-basic · seaborn · pyplots.ai", fontsize=24)
+ax.set_title("band-basic \u00b7 seaborn \u00b7 pyplots.ai", fontsize=24, fontweight="medium")
 ax.tick_params(axis="both", labelsize=16)
 ax.legend(fontsize=16, loc="upper left")
-ax.grid(True, alpha=0.3, linestyle="--")
 
 plt.tight_layout()
 plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/band-basic/metadata/seaborn.yaml

@@ -1,16 +1,16 @@
 library: seaborn
 specification_id: band-basic
 created: '2025-12-23T09:08:43Z'
-updated: '2025-12-23T09:11:13Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T13:40:00Z'
+generated_by: claude-opus-4-6
 workflow_run: 20456382170
 issue: 0
-python_version: 3.13.11
+python_version: '3.14'
 library_version: 0.13.2
 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/seaborn/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/seaborn/plot_thumb.png
 preview_html: null
-quality_score: 98
+quality_score: null
 impl_tags:
   dependencies: []
   techniques:

plots/band-basic/specification.md

@@ -16,7 +16,7 @@ A band plot displays a filled region between two boundary lines, commonly used t
 - `x` (numeric) - Independent variable, often representing time or sequence
 - `y_lower` (numeric) - Lower boundary values defining the bottom of the band
 - `y_upper` (numeric) - Upper boundary values defining the top of the band
-- `y_center` (numeric, optional) - Central trend line values (mean/median)
+- `y_center` (numeric) - Central trend line values (mean/median), shown as a contrasting line
 - Size: 20-200 data points
 - Example: Time series with 95% confidence interval bounds
 

plots/band-basic/specification.yaml

@@ -6,7 +6,7 @@ title: Basic Band Plot
 
 # Specification tracking
 created: 2025-12-15T20:42:54Z
-updated: 2025-12-15T20:42:54Z
+updated: 2026-02-23T12:00:00Z
 issue: 979
 suggested: MarkusNeusinger
 
@@ -18,10 +18,14 @@ tags:
   data_type:
     - numeric
     - continuous
+    - timeseries
   domain:
     - statistics
     - science
+    - general
+    - engineering
   features:
     - basic
     - confidence-interval
     - uncertainty
+    - 2d