matplotlib.yaml

library: matplotlib
specification_id: area-basic
created: '2025-12-23T00:46:12Z'
updated: '2026-02-11T20:57:35Z'
generated_by: claude-opus-4-6
workflow_run: 20447957143
issue: 0
python_version: 3.14.2
library_version: 3.10.8
preview_url: https://storage.googleapis.com/pyplots-images/plots/area-basic/matplotlib/plot.png
preview_thumb: https://storage.googleapis.com/pyplots-images/plots/area-basic/matplotlib/plot_thumb.png
preview_html: null
quality_score: 95
impl_tags:
  dependencies: []
  techniques:
  - patches
  patterns:
  - data-generation
  - explicit-figure
  dataprep: []
  styling:
  - gradient-fill
  - custom-colormap
  - alpha-blending
  - grid-styling
review:
  strengths:
  - Excellent gradient fill implementation using imshow clipped to the area polygon
    — visually appealing and demonstrates advanced matplotlib techniques
  - Data is well-crafted with realistic upward trend and periodic weekend dips that
    showcase the area chart purpose
  - Perfect text sizing following library guidelines (24pt title, 20pt labels, 16pt
    ticks)
  - Colorblind-safe blue palette (#306998) consistent with pyplots recommended colors
  - Clean readable code with proper seed for reproducibility
  weaknesses:
  - Y-axis starting at 0 with data in 4000-7500 range leaves significant empty space
    at bottom, slightly reducing visual impact
  - Data could include one more interesting feature such as a notable spike or event
    for maximum feature coverage
  image_description: The plot displays a basic area chart showing daily website visitors
    over a 30-day month. The x-axis shows "Day of Month" (1–30), and the y-axis shows
    "Daily Visitors (count)" (0–~8500). The area beneath the line is filled with a
    vertical gradient transitioning from light blue (#d6e6f5) at the bottom to a deeper
    blue (#306998) at the top, with alpha transparency of 0.6. The line itself is
    a solid dark blue (#306998) at linewidth 3. The data shows a clear upward trend
    from ~5000 visitors to ~7500 visitors, with periodic dips approximately every
    7 days corresponding to weekends. Gridlines are subtle dashed lines at alpha 0.3.
    The title reads "area-basic · matplotlib · pyplots.ai" in the correct format.
    Layout is clean with balanced margins and good canvas utilization via tight_layout.
  criteria_checklist:
    visual_quality:
      score: 37
      max: 40
      items:
      - id: VQ-01
        name: Text Legibility
        score: 10
        max: 10
        passed: true
        comment: Title at 24pt, axis labels at 20pt, ticks at 16pt — all perfectly
          readable at full size
      - id: VQ-02
        name: No Overlap
        score: 8
        max: 8
        passed: true
        comment: No overlapping text elements anywhere
      - id: VQ-03
        name: Element Visibility
        score: 8
        max: 8
        passed: true
        comment: Line at linewidth=3 is clearly visible, gradient fill with alpha=0.6
          provides good visual weight
      - id: VQ-04
        name: Color Accessibility
        score: 5
        max: 5
        passed: true
        comment: Uses colorblind-safe blue palette (#306998), no problematic color
          combinations
      - id: VQ-05
        name: Layout Balance
        score: 4
        max: 5
        passed: true
        comment: Good canvas utilization with tight_layout; y-axis starting at 0 leaves
          empty space below data range but appropriate for area charts
      - id: VQ-06
        name: Axis Labels
        score: 2
        max: 2
        passed: true
        comment: 'Both axes have descriptive labels with units: Day of Month, Daily
          Visitors (count)'
      - id: VQ-07
        name: Grid & Legend
        score: 2
        max: 2
        passed: true
        comment: Grid is subtle (alpha=0.3, dashed), no legend needed for single series
    spec_compliance:
      score: 25
      max: 25
      items:
      - id: SC-01
        name: Plot Type
        score: 8
        max: 8
        passed: true
        comment: Correct area chart with filled region below line
      - id: SC-02
        name: Data Mapping
        score: 5
        max: 5
        passed: true
        comment: X is continuous (days), Y is numeric (visitors)
      - id: SC-03
        name: Required Features
        score: 5
        max: 5
        passed: true
        comment: Semi-transparent fill, gridlines, clear axis labels with units, gradient
          fill — all spec features present
      - id: SC-04
        name: Data Range
        score: 3
        max: 3
        passed: true
        comment: All data visible within axis limits
      - id: SC-05
        name: Legend Accuracy
        score: 2
        max: 2
        passed: true
        comment: Single series, no legend needed — appropriate
      - id: SC-06
        name: Title Format
        score: 2
        max: 2
        passed: true
        comment: Exactly matches area-basic · matplotlib · pyplots.ai
    data_quality:
      score: 19
      max: 20
      items:
      - id: DQ-01
        name: Feature Coverage
        score: 7
        max: 8
        passed: true
        comment: Shows upward trend and periodic weekend dips; could benefit from
          one more feature like a sudden spike
      - id: DQ-02
        name: Realistic Context
        score: 7
        max: 7
        passed: true
        comment: Website daily visitors — realistic neutral scenario matching spec
          example
      - id: DQ-03
        name: Appropriate Scale
        score: 5
        max: 5
        passed: true
        comment: Values of 4000-7500 daily visitors are entirely realistic for a website
    code_quality:
      score: 10
      max: 10
      items:
      - id: CQ-01
        name: KISS Structure
        score: 3
        max: 3
        passed: true
        comment: 'Clean linear flow: imports → data → plot → save'
      - id: CQ-02
        name: Reproducibility
        score: 3
        max: 3
        passed: true
        comment: Uses np.random.seed(42)
      - id: CQ-03
        name: Clean Imports
        score: 2
        max: 2
        passed: true
        comment: All imports are used (mcolors, PathPatch, Path)
      - id: CQ-04
        name: No Deprecated API
        score: 1
        max: 1
        passed: true
        comment: No deprecated functions used
      - id: CQ-05
        name: Output Correct
        score: 1
        max: 1
        passed: true
        comment: Saves as plot.png
    library_features:
      score: 4
      max: 5
      items:
      - id: LF-01
        name: Distinctive Features
        score: 4
        max: 5
        passed: true
        comment: Uses imshow with custom clipping path for gradient fill, LinearSegmentedColormap,
          and PathPatch — advanced matplotlib capabilities
  verdict: APPROVED