update(area-basic): plotnine — comprehensive quality review (#4176)

MarkusNeusinger · github-actions[bot] · web-flow · commit 86b2f00a9251 · 2026-02-11T22:28:45.000Z
## Summary Updated **plotnine** implementation for **area-basic**. ### Changes - Added geom_smooth(method="lowess") trend line in Python yellow - Added "Peak" text annotation at maximum value - Added amplitude growth over time for more realistic variability - Added comma-formatted y-axis labels and units in axis title ## Test Plan - [x] Preview images uploaded to GCS staging - [x] Implementation file passes ruff format/check - [x] Metadata YAML updated with current versions - [ ] Automated review triggered --- Generated with [Claude Code](https://claude.com/claude-code) `/update` command --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
diff --git a/plots/area-basic/implementations/plotnine.py b/plots/area-basic/implementations/plotnine.py
@@ -1,21 +1,24 @@
 """ pyplots.ai
 area-basic: Basic Area Chart
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.14.2
+Quality: 97/100 | Created: 2025-12-23
 """
 
 import numpy as np
 import pandas as pd
 from plotnine import (
     aes,
+    annotate,
     element_blank,
     element_line,
     element_text,
     geom_area,
     geom_line,
+    geom_smooth,
     ggplot,
     labs,
     scale_x_datetime,
+    scale_y_continuous,
     theme,
     theme_minimal,
 )
@@ -27,19 +30,32 @@
 base_traffic = 5000
 trend = np.linspace(0, 2000, 30)
 weekly_pattern = 1000 * np.sin(np.arange(30) * 2 * np.pi / 7)
-noise = np.random.normal(0, 500, 30)
-visitors = base_traffic + trend + weekly_pattern + noise
-visitors = np.maximum(visitors, 1000)  # Ensure no negative values
+# Increasing amplitude over time for better feature coverage
+amplitude_growth = np.linspace(1.0, 1.8, 30)
+noise = np.random.normal(0, 500, 30) * amplitude_growth
+visitors = base_traffic + trend + weekly_pattern * amplitude_growth + noise
+visitors = np.maximum(visitors, 1000)
 
 df = pd.DataFrame({"date": dates, "visitors": visitors})
 
 # Plot
 plot = (
     ggplot(df, aes(x="date", y="visitors"))
-    + geom_area(fill="#306998", alpha=0.4)
+    + geom_area(fill="#306998", alpha=0.35)
     + geom_line(color="#306998", size=1.5)
-    + labs(x="Date", y="Daily Visitors", title="area-basic · plotnine · pyplots.ai")
+    + geom_smooth(method="lowess", color="#FFD43B", size=1.2, se=False, span=0.5)
+    + annotate(
+        "text",
+        x=dates[df["visitors"].idxmax()],
+        y=df["visitors"].max() + 300,
+        label="Peak",
+        size=14,
+        color="#306998",
+        fontweight="bold",
+    )
+    + labs(x="Date (January 2024)", y="Daily Visitors (count)", title="area-basic · plotnine · pyplots.ai")
     + scale_x_datetime(date_labels="%b %d")
+    + scale_y_continuous(labels=lambda lst: [f"{int(v):,}" for v in lst])
     + theme_minimal()
     + theme(
         figure_size=(16, 9),
diff --git a/plots/area-basic/metadata/plotnine.yaml b/plots/area-basic/metadata/plotnine.yaml
@@ -1,97 +1,112 @@
 library: plotnine
 specification_id: area-basic
 created: '2025-12-23T00:48:00Z'
-updated: '2025-12-23T01:21:15Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-11T22:27:13Z'
+generated_by: claude-opus-4-6
 workflow_run: 20447970072
 issue: 0
-python_version: 3.13.11
-library_version: 0.15.2
+python_version: 3.14.2
+library_version: 0.15.3
 preview_url: https://storage.googleapis.com/pyplots-images/plots/area-basic/plotnine/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/area-basic/plotnine/plot_thumb.png
 preview_html: null
-quality_score: 92
+quality_score: 97
 impl_tags:
   dependencies: []
   techniques:
-    - layer-composition
+  - annotations
+  - layer-composition
   patterns:
-    - data-generation
-    - explicit-figure
-  dataprep: []
+  - data-generation
+  dataprep:
+  - time-series
   styling:
-    - alpha-blending
-    - grid-styling
+  - alpha-blending
+  - grid-styling
 review:
   strengths:
-  - Excellent use of ggplot2 grammar with proper layering (geom_area + geom_line)
-  - Realistic website traffic data with weekly cyclical pattern and upward trend
-  - Semi-transparent fill (alpha=0.4) as recommended in spec for readability
-  - Clean, minimal theme with subtle grid lines
-  - Proper title format and legible text sizes throughout
-  - Good use of scale_x_datetime for proper date formatting
+  - Excellent visual quality with perfectly sized text elements matching library guidelines
+    (24/20/16pt hierarchy)
+  - Effective use of plotnine grammar of graphics with multi-layer composition (geom_area
+    + geom_line + geom_smooth)
+  - Realistic, well-contextualized data scenario (website visitors) with meaningful
+    patterns (weekly cycles, upward trend, increasing variance)
+  - 'Clean, colorblind-safe color scheme using pyplots primary palette (#306998, #FFD43B)'
+  - Subtle grid styling with alpha=0.3 and removed minor gridlines creates clean appearance
+  - Peak annotation adds informational value without cluttering
   weaknesses:
-  - Axis labels lack units (could be "Daily Visitors (count)" or "Date (2024)")
-  - Could leverage more plotnine-specific features like stat_smooth for trend visualization
-  image_description: The plot displays a basic area chart showing daily website visitors
-    over January 2024. The chart uses a blue color (#306998) with semi-transparent
-    fill (alpha ~0.4) and a solid blue line on top. The X-axis displays dates from
-    Jan 01 to Jan 29 with weekly intervals labeled (Jan 01, Jan 08, Jan 15, Jan 22,
-    Jan 29). The Y-axis shows "Daily Visitors" ranging from 0 to 8000. The title "area-basic
-    · plotnine · pyplots.ai" is centered at the top. The data shows a clear cyclical
-    weekly pattern with peaks and troughs, overlaid with an upward trend, representing
-    realistic website traffic patterns. Grid lines are subtle and horizontal only.
-    The overall layout is clean with good proportions.
+  - The yellow LOWESS trend line lacks a legend or label explaining what it represents
+    — a viewer unfamiliar with the chart must guess its purpose
+  - Feature coverage could be slightly richer (e.g., showing a flat period or a sudden
+    spike/dip to demonstrate more area chart characteristics)
+  image_description: The plot displays a basic area chart of daily website visitors
+    over January 2024. The area beneath the data line is filled with a semi-transparent
+    steel blue (#306998, alpha ~0.35), bounded by a solid blue outline (line weight
+    1.5). A yellow/gold (#FFD43B) LOWESS trend line smoothly traces through the data,
+    highlighting the overall upward trend. A bold blue "Peak" annotation sits at the
+    upper-right, marking the highest visitor count (~8,200 on Jan 30). The x-axis
+    shows dates from Jan 01 to Jan 29 in "Mon DD" format, labeled "Date (January 2024)".
+    The y-axis shows visitor counts from 0 to 8,000 with comma-formatted tick labels,
+    labeled "Daily Visitors (count)". The title reads "area-basic · plotnine · pyplots.ai"
+    in the correct format. The background uses a minimal theme with subtle light-gray
+    major gridlines and no minor gridlines. The data exhibits a clear cyclical weekly
+    pattern with an upward trend and increasing amplitude over the month.
   criteria_checklist:
     visual_quality:
-      score: 37
+      score: 40
       max: 40
       items:
       - id: VQ-01
         name: Text Legibility
         score: 10
         max: 10
         passed: true
-        comment: Title, axis labels, and tick labels are all clearly readable at appropriate
-          sizes
+        comment: Title ~24pt, axis labels ~20pt, tick labels ~16pt — all perfectly
+          readable at full resolution
       - id: VQ-02
         name: No Overlap
         score: 8
         max: 8
         passed: true
-        comment: No overlapping text elements
+        comment: No overlapping text anywhere; date labels well-spaced, Peak annotation
+          clear
       - id: VQ-03
         name: Element Visibility
         score: 8
         max: 8
         passed: true
-        comment: Area fill and line are appropriately visible with good alpha
+        comment: Area fill clearly visible with appropriate alpha, line weight 1.5
+          well-suited for 30 data points, LOWESS trend line distinct
       - id: VQ-04
         name: Color Accessibility
         score: 5
         max: 5
         passed: true
-        comment: Single blue color, no colorblind issues
+        comment: 'Uses pyplots primary colors (#306998 blue, #FFD43B yellow) — colorblind-safe,
+          high contrast'
       - id: VQ-05
         name: Layout Balance
         score: 5
         max: 5
         passed: true
-        comment: Good proportions, no cut-off content
+        comment: Plot fills canvas well in 16:9 ratio, balanced margins, no wasted
+          space
       - id: VQ-06
         name: Axis Labels
-        score: 1
+        score: 2
         max: 2
-        passed: false
-        comment: '"Daily Visitors" and "Date" are descriptive but lack units'
+        passed: true
+        comment: 'X: Date (January 2024) with context, Y: Daily Visitors (count) with
+          units'
       - id: VQ-07
         name: Grid & Legend
         score: 2
         max: 2
         passed: true
-        comment: Grid is subtle (alpha 0.3), no legend needed for single series
+        comment: 'Subtle major gridlines (alpha=0.3, #cccccc), minor grid removed,
+          no legend needed for single series'
     spec_compliance:
-      score: 25
+      score: 24
       max: 25
       items:
       - id: SC-01
@@ -105,56 +120,58 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: X=datetime, Y=numeric correctly assigned
+        comment: X=datetime dates, Y=numeric visitor counts — correctly assigned
       - id: SC-03
         name: Required Features
         score: 5
         max: 5
         passed: true
-        comment: Semi-transparent fill, gridlines, clear axis labels all present
+        comment: Semi-transparent fill (alpha 0.35), gridlines present, clear axis
+          labels with units
       - id: SC-04
         name: Data Range
         score: 3
         max: 3
         passed: true
-        comment: All data visible, Y-axis starts at 0
+        comment: Y-axis 0–8,000+ shows all data; X-axis covers full 30-day range
       - id: SC-05
         name: Legend Accuracy
-        score: 2
+        score: 1
         max: 2
-        passed: true
-        comment: N/A for single series, no legend needed
+        passed: false
+        comment: Yellow LOWESS trend line has no legend entry; viewer may not understand
+          what it represents
       - id: SC-06
         name: Title Format
         score: 2
         max: 2
         passed: true
-        comment: Correctly formatted as "area-basic · plotnine · pyplots.ai"
+        comment: area-basic · plotnine · pyplots.ai matches required format with middle
+          dots
     data_quality:
-      score: 18
+      score: 19
       max: 20
       items:
       - id: DQ-01
         name: Feature Coverage
         score: 7
         max: 8
         passed: true
-        comment: Shows trend, cyclical pattern, and volume well; could show more variation
-          in amplitude
+        comment: Shows upward trend, weekly cyclical pattern, increasing variance,
+          clear peaks/troughs — comprehensive but could show wider range
       - id: DQ-02
         name: Realistic Context
         score: 7
         max: 7
         passed: true
-        comment: Website traffic is a perfect real-world scenario with believable
-          patterns
+        comment: Daily website visitors over a month is a real, neutral business scenario
+          matching the spec example
       - id: DQ-03
         name: Appropriate Scale
-        score: 4
+        score: 5
         max: 5
         passed: true
-        comment: Values 4000-8000 daily visitors are realistic; starting Y at 0 is
-          good but creates some empty space
+        comment: 3,500–8,200 daily visitors is realistic for a mid-sized website
     code_quality:
       score: 10
       max: 10
@@ -164,40 +181,42 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: Simple imports → data → plot → save structure, no functions/classes
+        comment: 'Clean linear flow: imports → data generation → plot → save, no functions/classes'
       - id: CQ-02
         name: Reproducibility
         score: 3
         max: 3
         passed: true
-        comment: Uses np.random.seed(42)
+        comment: np.random.seed(42) set before all random operations
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: All imports are used
+        comment: All imports used (geom_smooth for LOWESS, annotate for Peak label,
+          etc.)
       - id: CQ-04
         name: No Deprecated API
         score: 1
         max: 1
         passed: true
-        comment: Uses current plotnine API
+        comment: All API calls are current
       - id: CQ-05
         name: Output Correct
         score: 1
         max: 1
         passed: true
         comment: Saves as plot.png
     library_features:
-      score: 2
+      score: 4
       max: 5
       items:
       - id: LF-01
-        name: Uses distinctive library features
-        score: 2
+        name: Distinctive Features
+        score: 4
         max: 5
-        passed: false
-        comment: Uses ggplot grammar correctly but doesn't leverage plotnine-specific
-          features like faceting or stat transformations
+        passed: true
+        comment: 'Effective grammar of graphics: layer composition (geom_area + geom_line
+          + geom_smooth), geom_smooth(method=lowess), scale_x_datetime, scale_y_continuous
+          with custom lambda labels, annotate for text'
   verdict: APPROVED
