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update(area-basic): plotnine — comprehensive quality review
MarkusNeusinger 9af8225
chore(plotnine): update quality score 97 and review feedback for area…
github-actions[bot] de4b0f0
Merge branch 'main' into implementation/area-basic/plotnine
github-actions[bot] 3759541
Merge branch 'main' into implementation/area-basic/plotnine
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| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
| @@ -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]) | ||||||
|
||||||
| + scale_y_continuous(labels=lambda lst: [f"{int(v):,}" for v in lst]) | |
| + scale_y_continuous(labels=lambda lst: [f"{v:,.0f}" for v in lst]) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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 | ||
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The implementation header no longer matches the repository’s standard format (leading space after triple quotes, and the “Quality: NN/100 | Created: YYYY-MM-DD” pattern).
Quality: /100is missing the numeric score andUpdated:is a new token; if any tooling parses these headers, this will break. Please restore the standard header format and include the actual quality score/date fields consistently with other plot implementations.