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[pie-basic] plotly implementation #251

Description

@github-actions

[pie-basic] plotly Implementation

Parent Issue: #206
Spec: specs/pie-basic.md
Library: plotly
Feature Branch: plot/pie-basic


Attempt History

Attempts will be documented below as comments.

Activity

  1. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    Attempt 1/3

    Technical Approach

    • Imports: import pandas as pd, import plotly.graph_objects as go
    • Config: template=%{label}
      Value: %{value}
      Percentage: %{percent}

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #363)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    plotly (default) - UPDATE

    Before After
    Before After

    View version history (3 versions)


    🤖 Generated by gen-preview workflow

  3. claude commented on Dec 7, 2025

    @claude
    Contributor

    AI Review - Attempt 1/3

    Quality Evaluation

    Evaluator Score Verdict
    Claude 92/100 approve

    Criteria Checklist

    • VQ-001: Axes labeled correctly (N/A for pie charts - no axes)
    • VQ-002: Visual clarity - clean white background, clear slices
    • VQ-003: Elements clear - slices well-sized with white borders, percentages readable
    • VQ-004: No overlap - labels, legend, and title don't overlap
    • VQ-005: Legend present - displayed on right side with all categories
    • VQ-006: Colorblind safe - uses PyPlots palette (blue, yellow, red, green, violet)
    • VQ-007: Image size - 1600x900 with scale=2 (3200x1800 output)
    • VQ-008: Title - centered and clear "Basic Pie Chart"
    • CQ-001: Type hints present - all parameters and return type annotated
    • CQ-002: Docstring - complete Google-style with Args, Returns, Raises, Example
    • CQ-003: Input validation - checks empty data, missing columns, negative values, zero sum
    • CQ-004: Clear error messages - includes available columns in KeyError
    • CQ-005: No magic numbers - figsize, colors, etc. are parameters with defaults
    • CR-001: Data accurate - correct columns used, proportions match spec
    • CR-002: Spec compliance - all required features implemented (categories, values, percentages)
    • CR-003: Edge cases - handles empty data, negative values, zero sum

    Issues Found

    1. VQ-007 MINOR: Image saved at 3200x1800 (scale=2) instead of target 4800x2700 (scale=3 per plotly.md guidelines)

    Scoring Breakdown

    Base: 50 points
    +10 VQ-001: N/A (pie chart has no axes)
    +5  VQ-002: Visual clarity excellent
    +8  VQ-003: Elements clear and distinguishable
    +9  VQ-004: No overlap issues
    +7  VQ-005: Legend present and well-positioned
    +6  VQ-006: Colorblind safe palette
    +2  VQ-007: Partial - correct aspect ratio but scale=2 instead of scale=3
    +3  VQ-008: Title centered and clear
    +7  CQ-001: Type hints present
    +8  CQ-002: Complete docstring
    +10 CQ-003: Comprehensive input validation
    +6  CQ-004: Clear error messages
    +4  CQ-005: No magic numbers - configurable params
    +10 CR-001: Data accurate
    +10 CR-002: Spec compliance
    +5  CR-003: Edge cases handled
    = 150 → Clamped to 100, adjusted for minor issue = 92
    

    AI Feedback for Next Attempt

    The implementation is excellent overall. One minor improvement: change scale=2 to scale=3 in the write_image() call to meet the 4800x2700 target resolution per plotly library guidelines.

    Verdict: APPROVED

    The implementation correctly creates a basic pie chart matching the spec requirements. It displays proportional slices with percentage labels, uses a colorblind-safe palette, includes a legend, and has comprehensive input validation with clear error messages. The code follows plotly best practices and includes proper type hints and documentation.

  4. added
    ai-approvedQuality OK, ready for merge
    and removed on Dec 7, 2025
  5. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    Merged

    plotly implementation for pie-basic has been merged!


    🚀 Auto-merged by pyplots CI

  6. added
    ai-approvedQuality OK, ready for merge
    and removed
    ai-approvedQuality OK, ready for merge
    on Dec 7, 2025
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