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

plots/band-basic/implementations/letsplot.py

@@ -1,14 +1,15 @@
-""" pyplots.ai
+"""pyplots.ai
 band-basic: Basic Band Plot
-Library: letsplot 4.8.2 | Python 3.13.11
-Quality: 93/100 | Created: 2025-12-23
+Library: letsplot 4.8.2 | Python 3.14
+Quality: /100 | Updated: 2026-02-23
 """
 
 import numpy as np
 import pandas as pd
 from lets_plot import (
     LetsPlot,
     aes,
+    element_blank,
     element_line,
     element_text,
     geom_line,
@@ -17,41 +18,60 @@
     ggsave,
     ggsize,
     labs,
+    layer_tooltips,
     theme,
     theme_minimal,
 )
 
 
 LetsPlot.setup_html()
 
-# Data - time series with 95% confidence interval
+# Data - sensor temperature readings with 95% confidence interval
 np.random.seed(42)
-x = np.linspace(0, 10, 100)
-y_center = 2 * np.sin(x) + 0.5 * x  # Central trend (sinusoidal + linear growth)
-noise_scale = 0.3 + 0.15 * x  # Increasing uncertainty over time
-y_lower = y_center - 1.96 * noise_scale  # 95% CI lower bound
-y_upper = y_center + 1.96 * noise_scale  # 95% CI upper bound
+time_seconds = np.linspace(0, 10, 100)
+temp_mean = 2 * np.sin(time_seconds) + 0.5 * time_seconds  # Central trend
+uncertainty = 0.3 + 0.15 * time_seconds  # Growing uncertainty over time
+temp_lower = temp_mean - 1.96 * uncertainty  # 95% CI lower bound
+temp_upper = temp_mean + 1.96 * uncertainty  # 95% CI upper bound
 
-df = pd.DataFrame({"x": x, "y_center": y_center, "y_lower": y_lower, "y_upper": y_upper})
+df = pd.DataFrame({"time": time_seconds, "mean": temp_mean, "lower": temp_lower, "upper": temp_upper})
 
 # Plot
 plot = (
-    ggplot(df, aes(x="x"))
-    + geom_ribbon(aes(ymin="y_lower", ymax="y_upper"), fill="#306998", alpha=0.3)
-    + geom_line(aes(y="y_center"), color="#306998", size=1.5)
-    + labs(x="Time (s)", y="Value (units)", title="band-basic · letsplot · pyplots.ai")
+    ggplot(df, aes(x="time"))
+    + geom_ribbon(
+        aes(ymin="lower", ymax="upper"),
+        fill="#306998",
+        alpha=0.25,
+        tooltips=layer_tooltips()
+        .format("lower", "{.2f}")
+        .format("upper", "{.2f}")
+        .line("95% CI")
+        .line("Upper|@upper")
+        .line("Lower|@lower"),
+    )
+    + geom_line(
+        aes(y="mean"),
+        color="#306998",
+        size=1.5,
+        tooltips=layer_tooltips()
+        .format("mean", "{.2f}")
+        .format("time", "{.1f}")
+        .line("Time|@time s")
+        .line("Mean|@mean"),
+    )
+    + labs(x="Time (s)", y="Value (units)", title="band-basic \u00b7 letsplot \u00b7 pyplots.ai")
     + theme_minimal()
     + theme(
         axis_title=element_text(size=20),
         axis_text=element_text(size=16),
         plot_title=element_text(size=24),
-        panel_grid=element_line(color="#cccccc", size=0.5),
+        panel_grid_major=element_line(size=0.3, color="#E0E0E0"),
+        panel_grid_minor=element_blank(),
     )
     + ggsize(1600, 900)
 )
 
-# Save PNG (scale=3 gives 4800x2700)
+# Save
 ggsave(plot, "plot.png", path=".", scale=3)
-
-# Save HTML for interactive version
-ggsave(plot, "plot.html", path=".")
+plot.to_html("plot.html")

plots/band-basic/metadata/letsplot.yaml

@@ -1,16 +1,16 @@
 library: letsplot
 specification_id: band-basic
 created: '2025-12-23T09:08:23Z'
-updated: '2025-12-23T09:10:30Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-23T13:41:00Z'
+generated_by: claude-opus-4-6
 workflow_run: 20456388290
 issue: 0
-python_version: 3.13.11
+python_version: '3.14'
 library_version: 4.8.2
 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.html
-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