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update(area-basic): letsplot — comprehensive quality review (#4179)
## Summary Updated **letsplot** implementation for **area-basic**. ### Changes - Switched from numeric day_num to proper datetime x-axis with scale_x_datetime - Added interactive tooltips via layer_tooltips() - Added scale_y_continuous with limits starting at 0 - Subtler grid lines (size 0.3) ## 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>
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plots/area-basic/implementations/letsplot.py

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""" pyplots.ai
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area-basic: Basic Area Chart
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Library: letsplot 4.8.1 | Python 3.13.11
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Quality: 91/100 | Created: 2025-12-23
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Library: letsplot 4.8.2 | Python 3.14.2
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Quality: 95/100 | Created: 2025-12-23
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"""
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import numpy as np
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visitors = np.clip(visitors, 2000, None).astype(int)
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df = pd.DataFrame({"date": days, "visitors": visitors})
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df["day_num"] = np.arange(1, len(df) + 1)
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# Plot
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plot = (
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ggplot(df, aes(x="day_num", y="visitors")) # noqa: F405
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+ geom_area(fill="#306998", alpha=0.4) # noqa: F405
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ggplot(df, aes(x="date", y="visitors")) # noqa: F405
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+ geom_area( # noqa: F405
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fill="#306998",
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alpha=0.4,
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tooltips=layer_tooltips() # noqa: F405
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.line("@visitors visitors")
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.format("date", "%b %d, %Y")
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.line("@date"),
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)
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+ geom_line(color="#306998", size=2) # noqa: F405
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+ scale_x_datetime(format="%b %d") # noqa: F405
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+ scale_y_continuous(limits=[0, None]) # noqa: F405
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+ labs( # noqa: F405
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x="Day of Month", y="Daily Visitors", title="area-basic · letsplot · pyplots.ai"
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x="Date", y="Daily Visitors", title="area-basic · letsplot · pyplots.ai"
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)
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+ ggsize(1600, 900) # noqa: F405
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+ theme_minimal() # noqa: F405
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+ theme( # noqa: F405
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axis_text=element_text(size=16), # noqa: F405
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axis_title=element_text(size=20), # noqa: F405
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plot_title=element_text(size=24), # noqa: F405
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panel_grid=element_line(color="#CCCCCC", size=0.5, linetype="dashed"), # noqa: F405
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panel_grid=element_line(color="#CCCCCC", size=0.3, linetype="dashed"), # noqa: F405
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)
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)
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library: letsplot
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specification_id: area-basic
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created: '2025-12-23T00:49:34Z'
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updated: '2025-12-23T01:21:34Z'
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generated_by: claude-opus-4-5-20251101
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updated: '2026-02-11T22:27:56Z'
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generated_by: claude-opus-4-6
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workflow_run: 20447993117
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issue: 0
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python_version: 3.13.11
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library_version: 4.8.1
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python_version: 3.14.2
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library_version: 4.8.2
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preview_url: https://storage.googleapis.com/pyplots-images/plots/area-basic/letsplot/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/area-basic/letsplot/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/area-basic/letsplot/plot.html
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quality_score: 91
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quality_score: 95
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impl_tags:
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dependencies: []
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techniques:
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- layer-composition
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- layer-composition
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- hover-tooltips
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- html-export
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patterns:
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- data-generation
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dataprep: []
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- data-generation
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dataprep:
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- time-series
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styling:
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- alpha-blending
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- grid-styling
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- alpha-blending
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- grid-styling
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review:
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strengths:
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- Excellent realistic data generation with trend, weekly cyclical pattern, and noise
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- Clean ggplot2-style code using geom_area and geom_line combination
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- Proper export with scale=3 for high resolution (4800x2700 px)
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- Semi-transparent fill (alpha=0.4) for good readability as spec recommends
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- Saves both PNG and HTML for interactive version
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- Excellent data generation with realistic weekly cyclical pattern plus upward trend
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and noise — perfectly demonstrates area chart strengths
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- 'Good use of letsplot-specific features: layer_tooltips() with formatted hover
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information and HTML interactive export'
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- Clean, well-structured code following KISS principle with proper seed for reproducibility
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- Semi-transparent fill (alpha=0.4) balances between showing the area weight and
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maintaining readability
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- Text sizing follows library guidelines perfectly (24/20/16pt hierarchy)
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weaknesses:
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- Y-axis starts at 0 creating large empty space below data (consider starting from
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minimum value or using scale_y_continuous with limits)
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- Uses numeric day_num instead of actual dates; could use scale_x_datetime for proper
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date axis formatting
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- Grid styling could be more subtle (add alpha to panel_grid)
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image_description: The plot shows a basic area chart displaying daily website visitors
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over 30 days. The filled area uses a semi-transparent blue color (#306998 with
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alpha 0.4), with a darker blue line (same color, size=2) tracing the top boundary
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of the area. The chart has a light gray dashed grid in the background. The title
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"area-basic · letsplot · pyplots.ai" appears at the top. The x-axis is labeled
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"Day of Month" (ranging from 0 to 30), and the y-axis is labeled "Daily Visitors"
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(ranging from 0 to 8,000). The data shows a realistic pattern with an upward trend
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over the month, weekly cyclical variations (approximately 7-day periods visible
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as peaks and valleys), and some random noise. Values start around 5,000 visitors
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and end near 7,500.
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- Y-axis starting at 0 creates substantial empty space below the data range (~4300-7600),
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compressing the visual representation of variation in the upper portion of the
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chart
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- Right edge Jan 31 label appears slightly clipped
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image_description: The plot displays a basic area chart titled "area-basic · letsplot
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· pyplots.ai". The x-axis shows dates from Jan 01 to Jan 31 labeled "Date", and
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the y-axis shows "Daily Visitors" ranging from 0 to 8,000. The area beneath the
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line is filled with semi-transparent blue (#306998, alpha ~0.4) with a solid darker
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blue outline (line width 2). The data exhibits a clear cyclical weekly pattern
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(peaks and troughs every ~7 days) overlaid on an upward trend from ~5,000 to ~7,500
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visitors. Dashed light-gray gridlines aid value estimation. The theme is minimal
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with clean white background. The chart uses the full canvas width well in landscape
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orientation.
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criteria_checklist:
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visual_quality:
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score: 37
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score: 36
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max: 40
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items:
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- id: VQ-01
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name: Text Legibility
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score: 10
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max: 10
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passed: true
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comment: Title, axis labels, and tick marks are all clearly readable with
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appropriate font sizes (title=24, axis_title=20, axis_text=16)
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comment: Title at 24pt, axis labels at 20pt, tick text at 16pt — all perfectly
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readable
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- id: VQ-02
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name: No Overlap
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score: 8
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max: 8
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passed: true
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comment: No overlapping text elements anywhere in the plot
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comment: No overlapping text; date labels well-spaced
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- id: VQ-03
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name: Element Visibility
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score: 8
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score: 6
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max: 8
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passed: true
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comment: Area fill and line are well-sized and clearly visible; alpha=0.4
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is appropriate
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comment: Area fill and line visible, but y-axis starting at 0 means data (~4300-7600)
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occupies only the upper portion; variation is somewhat compressed
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- id: VQ-04
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name: Color Accessibility
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score: 5
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max: 5
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passed: true
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comment: Single blue color scheme is colorblind-safe
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comment: Single blue color, fully colorblind-safe
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- id: VQ-05
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name: Layout Balance
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score: 4
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score: 3
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max: 5
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passed: true
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comment: Good proportions overall, though the y-axis starts at 0 which creates
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a large empty area below the data (values range ~4,300-7,600)
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passed: false
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comment: Y-axis at 0 creates large empty zone below data; Jan 31 label slightly
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clipped at right edge
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- id: VQ-06
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name: Axis Labels
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score: 1
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score: 2
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max: 2
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passed: true
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comment: Labels are descriptive ("Day of Month", "Daily Visitors") but lack
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units
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comment: Date and Daily Visitors are descriptive labels
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- id: VQ-07
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name: Grid & Legend
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score: 1
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score: 2
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max: 2
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passed: true
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comment: Grid is visible with dashed style but could be more subtle (alpha
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not apparent in grid styling)
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comment: Dashed light-gray gridlines are subtle and helpful; no legend needed
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spec_compliance:
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score: 25
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max: 25
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score: 8
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max: 8
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passed: true
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comment: Correct area chart type with filled area below the line
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comment: Correct basic area chart
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- id: SC-02
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name: Data Mapping
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score: 5
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max: 5
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passed: true
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comment: X (day number) and Y (visitors) correctly mapped
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comment: X=datetime, Y=numeric correctly assigned
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- id: SC-03
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name: Required Features
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score: 5
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max: 5
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passed: true
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comment: Has semi-transparent fill (alpha 0.4), gridlines, clear axis labels
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comment: Semi-transparent fill (alpha=0.4), gridlines, clear axis labels all
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present
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- id: SC-04
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name: Data Range
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score: 3
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score: 2
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passed: true
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comment: No legend needed for single-series area chart
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comment: No legend needed for single series
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- id: SC-06
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name: Title Format
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score: 2
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max: 2
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passed: true
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comment: Correct format "area-basic · letsplot · pyplots.ai"
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comment: area-basic · letsplot · pyplots.ai matches required format
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data_quality:
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score: 19
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score: 20
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max: 20
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items:
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- id: DQ-01
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name: Feature Coverage
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score: 7
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score: 8
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max: 8
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passed: true
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comment: Shows trend, cyclical pattern, and variation well; could show more
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dramatic peaks/valleys
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comment: Shows upward trend, weekly cyclical pattern, and random noise — excellent
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coverage for area chart
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- id: DQ-02
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name: Realistic Context
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score: 7
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max: 7
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passed: true
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comment: Website visitors is the exact example from spec; daily pattern with
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weekly cycles is realistic
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comment: Daily website visitors over a month — realistic, neutral scenario
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matching spec example
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- id: DQ-03
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name: Appropriate Scale
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score: 5
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max: 5
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passed: true
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comment: Visitor counts (2,000-8,000 range) are realistic for a medium-sized
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website
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comment: 4300-7600 daily visitors is realistic for a medium website
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code_quality:
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score: 10
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score: 3
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max: 3
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passed: true
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comment: Simple imports → data → plot → save structure, no functions/classes
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comment: Clean imports → data → plot → save structure
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- id: CQ-02
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name: Reproducibility
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score: 3
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max: 3
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passed: true
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comment: Uses np.random.seed(42)
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comment: np.random.seed(42) present
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- id: CQ-03
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name: Clean Imports
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score: 2
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max: 2
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passed: true
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comment: All imports are used (numpy, pandas, lets_plot)
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comment: All imports used
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- id: CQ-04
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name: No Deprecated API
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score: 1
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max: 1
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passed: true
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comment: Uses current lets-plot API
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comment: Current API usage
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- id: CQ-05
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name: Output Correct
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score: 1
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max: 1
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passed: true
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comment: Saves as plot.png and plot.html
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comment: Saves as plot.png
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library_features:
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score: 0
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score: 4
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max: 5
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items:
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- id: LF-01
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name: Uses distinctive library features
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score: 0
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name: Distinctive Features
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score: 4
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max: 5
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passed: false
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comment: Implementation uses basic ggplot grammar but doesn't leverage lets-plot
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specific features like interactive tooltips, scale_x_datetime for proper
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date handling, or other distinctive capabilities
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passed: true
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comment: Good use of layer_tooltips() with custom date formatting, scale_x_datetime,
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ggsize(), HTML export; could add geom_smooth or gradient fill for more distinctiveness
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verdict: APPROVED

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