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update(area-basic): bokeh — comprehensive quality review
MarkusNeusinger f0f0c48
chore(bokeh): update quality score 92 and review feedback for area-basic
github-actions[bot] f0e6d1e
Merge branch 'main' into implementation/area-basic/bokeh
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,13 +1,13 @@ | ||
| """ pyplots.ai | ||
| area-basic: Basic Area Chart | ||
| Library: bokeh 3.8.1 | Python 3.13.11 | ||
| Library: bokeh 3.8.2 | Python 3.14.2 | ||
| Quality: 92/100 | Created: 2025-12-23 | ||
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| """ | ||
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| import numpy as np | ||
| import pandas as pd | ||
| from bokeh.io import export_png, output_file, save | ||
| from bokeh.models import ColumnDataSource | ||
| from bokeh.models import ColumnDataSource, HoverTool | ||
| from bokeh.plotting import figure | ||
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@@ -29,7 +29,7 @@ | |
| height=2700, | ||
| title="area-basic · bokeh · pyplots.ai", | ||
| x_axis_label="Date", | ||
| y_axis_label="Daily Visitors", | ||
| y_axis_label="Daily Visitors (count)", | ||
| x_axis_type="datetime", | ||
| ) | ||
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@@ -39,6 +39,17 @@ | |
| # Line on top for clear edge | ||
| p.line(x="date", y="visitors", source=source, line_color="#306998", line_width=5) | ||
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| # Invisible scatter for hover targets | ||
| p.scatter(x="date", y="visitors", source=source, size=20, fill_alpha=0, line_alpha=0) | ||
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| # HoverTool for interactive exploration | ||
| hover = HoverTool( | ||
| tooltips=[("Date", "@date{%b %d, %Y}"), ("Visitors", "@visitors{0,0}")], | ||
| formatters={"@date": "datetime"}, | ||
| mode="vline", | ||
| ) | ||
| p.add_tools(hover) | ||
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| # Styling for 4800x2700 px - scaled up for large canvas | ||
| p.title.text_font_size = "48pt" | ||
| p.xaxis.axis_label_text_font_size = "36pt" | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,99 +1,106 @@ | ||
| library: bokeh | ||
| specification_id: area-basic | ||
| created: '2025-12-23T00:48:55Z' | ||
| updated: '2025-12-23T01:22:02Z' | ||
| generated_by: claude-opus-4-5-20251101 | ||
| updated: '2026-02-11T22:26:52Z' | ||
|
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| generated_by: claude-opus-4-6 | ||
| workflow_run: 20447970023 | ||
| issue: 0 | ||
| python_version: 3.13.11 | ||
| library_version: 3.8.1 | ||
| python_version: 3.14.2 | ||
| library_version: 3.8.2 | ||
| preview_url: https://storage.googleapis.com/pyplots-images/plots/area-basic/bokeh/plot.png | ||
| preview_thumb: https://storage.googleapis.com/pyplots-images/plots/area-basic/bokeh/plot_thumb.png | ||
| preview_html: https://storage.googleapis.com/pyplots-images/plots/area-basic/bokeh/plot.html | ||
| quality_score: 92 | ||
|
||
| impl_tags: | ||
| dependencies: [] | ||
| techniques: [] | ||
| techniques: | ||
| - hover-tooltips | ||
| - html-export | ||
| patterns: | ||
| - data-generation | ||
| - columndatasource | ||
| dataprep: [] | ||
| - data-generation | ||
| - columndatasource | ||
| dataprep: | ||
| - time-series | ||
| styling: | ||
| - alpha-blending | ||
| - grid-styling | ||
| - alpha-blending | ||
| - grid-styling | ||
| review: | ||
| strengths: | ||
| - Excellent text sizing scaled appropriately for 4800x2700 canvas | ||
| - Clean KISS code structure with proper seed for reproducibility | ||
| - Realistic website traffic data with believable weekly patterns and upward trend | ||
| - Proper use of Bokeh varea() for area fill with line overlay for definition | ||
| - Semi-transparent fill (0.4) matches spec recommendation (0.3-0.5) | ||
| - Y-axis correctly starts at 0 for honest area representation | ||
| - Excellent text scaling for 4800x2700 canvas with font sizes well above minimums | ||
| - 'Good use of Bokeh-specific features: ColumnDataSource, varea, HoverTool with | ||
| vline mode, invisible scatter for hover targets' | ||
| - Realistic data generation with trend + weekly seasonality + noise components | ||
| - Clean code structure following KISS principle with proper seed for reproducibility | ||
| - Semi-transparent fill at alpha 0.4 provides good readability while maintaining | ||
| visual weight | ||
| - Y-axis properly starts at 0 to avoid misleading area representation | ||
| - Dual export (PNG + HTML) leverages Bokeh interactive capabilities | ||
| weaknesses: | ||
| - Missing HoverTool for interactivity - Bokeh key strength is interactive exploration | ||
| - Axis labels lack units (could be Daily Visitors count or similar) | ||
| - Large empty space below data since values range 4000-7000 but y starts at 0 | ||
| image_description: The plot displays a basic area chart showing daily website visitors | ||
| over January 2024. The filled area uses a steel blue color (#306998) with 40% | ||
| transparency, creating visual weight that emphasizes the magnitude of visitor | ||
| counts. A solid line traces the top edge of the area for clear definition. The | ||
| x-axis shows dates from Jan 01, 2024 to Feb 01, with clear date labels. The y-axis | ||
| displays "Daily Visitors" ranging from 0 to approximately 7000. The title "area-basic | ||
| · bokeh · pyplots.ai" appears in the top left. The data exhibits a realistic weekly | ||
| cyclical pattern (weekend dips) with an overall upward trend across the month. | ||
| Subtle dashed grid lines aid value estimation. The y-axis correctly starts at | ||
| 0, which is essential for area charts to avoid misleading representations. | ||
| - Data could show more dramatic variation or events (e.g., a traffic spike or dip) | ||
| to better demonstrate the area chart ability to convey magnitude changes | ||
| - Font sizes exceed the bokeh.md library guide recommendations (48pt vs 28pt title, | ||
| 36pt vs 22pt labels) — while readable, they are larger than the standard | ||
| image_description: The plot displays a basic area chart titled "area-basic · bokeh | ||
| · pyplots.ai" showing daily website visitors over January 2024. The x-axis shows | ||
| dates from Jan 01, 2024 to Feb 01, with major ticks at weekly intervals. The y-axis | ||
| is labeled "Daily Visitors (count)" and ranges from 0 to approximately 7,000. | ||
| The area below the line is filled with a semi-transparent blue (#306998, alpha | ||
| 0.4), and a solid blue line (line_width=5) traces the top edge of the filled area. | ||
| The data exhibits a clear weekly cyclical pattern with an overall upward trend, | ||
| starting around 5,000 visitors and ending near 7,000. Dashed grid lines are visible | ||
| at low opacity (alpha 0.3). The layout is well-balanced with the plot filling | ||
| a large portion of the 4800x2700 canvas. All text is clearly legible with appropriately | ||
| scaled font sizes (title 48pt, axis labels 36pt, tick labels 28pt). The toolbar | ||
| is removed for a clean static export. | ||
| 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 at 48pt, axis labels at 36pt, tick labels at 28pt - all perfectly | ||
| readable at 4800x2700 | ||
| comment: Title 48pt, axis labels 36pt, tick labels 28pt — all well above minimums | ||
| and perfectly readable | ||
| - id: VQ-02 | ||
| name: No Overlap | ||
| score: 8 | ||
| max: 8 | ||
| passed: true | ||
| comment: No overlapping text elements; date labels are well-spaced | ||
| comment: No overlapping text; date ticks well-spaced at weekly intervals | ||
| - id: VQ-03 | ||
| name: Element Visibility | ||
| score: 8 | ||
| max: 8 | ||
| passed: true | ||
| comment: Area fill and line are perfectly visible; line width of 5 appropriate | ||
| for canvas size | ||
| comment: Area fill clearly visible with good alpha, line_width=5 provides | ||
| clear edge definition for 31 data points | ||
| - id: VQ-04 | ||
| name: Color Accessibility | ||
| score: 5 | ||
| max: 5 | ||
| passed: true | ||
| comment: Single color scheme, good contrast against white background | ||
| comment: Single blue color (#306998), no accessibility concerns | ||
| - id: VQ-05 | ||
| name: Layout Balance | ||
| score: 4 | ||
| score: 5 | ||
| max: 5 | ||
| passed: true | ||
| comment: Good proportions, slight excess whitespace at bottom due to y starting | ||
| at 0 but data ranging 4000-7000 | ||
| comment: Plot fills >50% of canvas, balanced margins with min_border adjustments | ||
| - id: VQ-06 | ||
| name: Axis Labels | ||
| score: 1 | ||
| score: 2 | ||
| max: 2 | ||
| passed: true | ||
| comment: '"Daily Visitors" and "Date" are descriptive but lack units' | ||
| comment: Date and Daily Visitors (count) — descriptive with units | ||
| - id: VQ-07 | ||
| name: Grid & Legend | ||
| score: 1 | ||
| score: 2 | ||
| max: 2 | ||
| passed: true | ||
| comment: Grid is subtle (alpha 0.3) with nice dashed styling; no legend needed | ||
| for single series | ||
| comment: Subtle dashed grid at alpha 0.3, no legend needed for single series | ||
| spec_compliance: | ||
| score: 25 | ||
| max: 25 | ||
|
|
@@ -103,63 +110,62 @@ review: | |
| score: 8 | ||
| max: 8 | ||
| passed: true | ||
| comment: Correct area chart with filled region below line | ||
| comment: Correct area chart with filled region below the line using varea | ||
| - id: SC-02 | ||
| name: Data Mapping | ||
| score: 5 | ||
| max: 5 | ||
| passed: true | ||
| comment: Datetime on x-axis, numeric values on y-axis | ||
| comment: X=datetime (dates), Y=numeric (visitors) correctly assigned | ||
| - id: SC-03 | ||
| name: Required Features | ||
| score: 5 | ||
| max: 5 | ||
| passed: true | ||
| comment: Semi-transparent fill (0.4), gridlines present, clear axis labels, | ||
| line on top | ||
| comment: Semi-transparent fill (alpha 0.4), gridlines, clear axis labels with | ||
| units all present | ||
| - id: SC-04 | ||
| name: Data Range | ||
| score: 3 | ||
| max: 3 | ||
| passed: true | ||
| comment: All data visible, y-axis starts at 0 | ||
| comment: Y-axis starts at 0, all data visible, full date range shown | ||
| - id: SC-05 | ||
| name: Legend Accuracy | ||
| score: 2 | ||
| max: 2 | ||
| passed: true | ||
| comment: N/A for single series, no misleading elements | ||
| comment: No legend needed for single-series area chart | ||
| - id: SC-06 | ||
| name: Title Format | ||
| score: 2 | ||
| max: 2 | ||
| passed: true | ||
| comment: Correctly formatted as "area-basic · bokeh · pyplots.ai" | ||
| comment: area-basic · bokeh · pyplots.ai matches required format | ||
| 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 magnitude well; could show more | ||
| dramatic variations | ||
| comment: Shows upward trend, weekly cyclical pattern, and noise; could show | ||
| more dramatic variation | ||
| - id: DQ-02 | ||
| name: Realistic Context | ||
| score: 7 | ||
| max: 7 | ||
| passed: true | ||
| comment: Website traffic with weekly patterns and growth trend is a real, | ||
| comprehensible scenario | ||
| comment: Daily website visitors over a month — matches spec example application | ||
| exactly | ||
| - id: DQ-03 | ||
| name: Appropriate Scale | ||
| score: 4 | ||
| score: 5 | ||
| max: 5 | ||
| passed: true | ||
| comment: Values 4000-7000 visitors/day plausible; base of 5000 perhaps high | ||
| for "basic" example | ||
| comment: 4000-7000 daily visitors is realistic for a mid-sized website | ||
| code_quality: | ||
| score: 10 | ||
| max: 10 | ||
|
|
@@ -169,7 +175,7 @@ review: | |
| score: 3 | ||
| max: 3 | ||
| passed: true | ||
| comment: Clean imports → data → plot → save structure, no functions/classes | ||
| comment: 'Linear flow: imports, data, plot, save — no functions or classes' | ||
| - id: CQ-02 | ||
| name: Reproducibility | ||
| score: 3 | ||
|
|
@@ -181,28 +187,28 @@ review: | |
| score: 2 | ||
| max: 2 | ||
| passed: true | ||
| comment: All imports are used | ||
| comment: All imports used (numpy, pandas, bokeh.io, bokeh.models, bokeh.plotting) | ||
| - id: CQ-04 | ||
| name: No Deprecated API | ||
| score: 1 | ||
| max: 1 | ||
| passed: true | ||
| comment: Uses current Bokeh API | ||
| comment: All current Bokeh 3.x API | ||
| - id: CQ-05 | ||
| name: Output Correct | ||
| score: 1 | ||
| max: 1 | ||
| passed: true | ||
| comment: Saves as plot.png and plot.html | ||
| comment: Saves as plot.png via export_png | ||
| library_features: | ||
| score: 2 | ||
| score: 4 | ||
| max: 5 | ||
| items: | ||
| - id: LF-01 | ||
| name: Distinctive Features | ||
| score: 2 | ||
| score: 4 | ||
| max: 5 | ||
| passed: false | ||
| comment: Uses varea() and ColumnDataSource correctly, but doesn't leverage | ||
| Bokeh's interactive features like HoverTool which would enhance the visualization | ||
| passed: true | ||
| comment: ColumnDataSource, varea, HoverTool with datetime formatter, invisible | ||
| scatter for hover targets, dual HTML+PNG export | ||
| verdict: APPROVED | ||
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The module docstring header format is inconsistent with the convention used elsewhere in the repo (e.g., most implementations start with
""" pyplots.aiincluding a space after the opening quotes). Please keep the header formatting consistent to avoid noisy diffs and potential downstream parsing issues.