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

Comprehensive quality review of matplotlib band-basic implementation.

Author: MarkusNeusinger

plots/band-basic/implementations/matplotlib.py

@@ -1,45 +1,42 @@
-""" pyplots.ai
+"""pyplots.ai
 band-basic: Basic Band Plot
-Library: matplotlib 3.10.8 | Python 3.13.11
-Quality: 93/100 | Created: 2025-12-23
+Library: matplotlib 3.10.8 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import matplotlib.pyplot as plt
 import numpy as np
 
 
-# Data - Simulating a time series with 95% confidence interval
+# Data - Daily temperature forecast with 95% confidence interval
 np.random.seed(42)
-x = np.linspace(0, 10, 100)
+days = np.arange(1, 31)
 
-# Central trend line (sinusoidal pattern with slight upward trend)
-y_center = 2 * np.sin(x) + 0.3 * x + 5
+# Central forecast: seasonal warming pattern peaking mid-month
+temp_forecast = 12 + 6 * np.sin(np.pi * days / 30) + 0.1 * days
 
-# Confidence interval that widens over time (common in forecasting)
-uncertainty = 0.5 + 0.15 * x
-y_lower = y_center - uncertainty
-y_upper = y_center + uncertainty
+# Confidence interval widens further into the forecast (common in weather models)
+uncertainty = 0.8 + 0.12 * days
+temp_lower = temp_forecast - uncertainty
+temp_upper = temp_forecast + uncertainty
 
 # Plot
 fig, ax = plt.subplots(figsize=(16, 9))
 
-# Filled band (semi-transparent)
-ax.fill_between(x, y_lower, y_upper, alpha=0.3, color="#306998", label="95% Confidence Interval")
+ax.fill_between(days, temp_lower, temp_upper, alpha=0.25, color="#306998", label="95% Confidence Interval")
+ax.plot(days, temp_forecast, color="#306998", linewidth=3, label="Forecast Mean")
+ax.plot(days, temp_lower, color="#306998", linewidth=1.5, linestyle="--", alpha=0.5)
+ax.plot(days, temp_upper, color="#306998", linewidth=1.5, linestyle="--", alpha=0.5)
 
-# Central trend line
-ax.plot(x, y_center, color="#306998", linewidth=3, label="Mean Trend")
-
-# Boundary lines (subtle)
-ax.plot(x, y_lower, color="#306998", linewidth=1.5, linestyle="--", alpha=0.7)
-ax.plot(x, y_upper, color="#306998", linewidth=1.5, linestyle="--", alpha=0.7)
-
-# Styling
-ax.set_xlabel("Time (s)", fontsize=20)
-ax.set_ylabel("Value", fontsize=20)
-ax.set_title("band-basic · matplotlib · pyplots.ai", fontsize=24)
+# Style
+ax.set_xlabel("Day of Month", fontsize=20)
+ax.set_ylabel("Temperature (\u00b0C)", fontsize=20)
+ax.set_title("band-basic \u00b7 matplotlib \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="--")
+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/band-basic/metadata/matplotlib.yaml

@@ -1,16 +1,16 @@
 library: matplotlib
 specification_id: band-basic
 created: '2025-12-23T09:08:22Z'
-updated: '2025-12-23T09:10:31Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T13:40:00Z'
+generated_by: claude-opus-4-6
 workflow_run: 20456381970
 issue: 0
-python_version: 3.13.11
+python_version: '3.14'
 library_version: 3.10.8
 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/matplotlib/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/matplotlib/plot_thumb.png
 preview_html: null
-quality_score: 93
+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