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[pie-basic] matplotlib implementation #235

Description

@github-actions

[pie-basic] matplotlib Implementation

Parent Issue: #206
Spec: specs/pie-basic.md
Library: matplotlib
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 matplotlib.pyplot as plt, import pandas as pd
    • Config: figsize=16, 9

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #347)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    matplotlib (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

    • [N/A] VQ-001: Axes labeled correctly (pie charts don't have axes)
    • [N/A] VQ-002: Grid is subtle (pie charts don't use grids)
    • VQ-003: Elements clear - slices are distinct with good contrast
    • VQ-004: No overlap - labels and percentages are well-positioned
    • VQ-005: Legend present - legend available (configurable via parameter)
    • VQ-006: Colorblind safe - uses distinguishable PyPlots palette (blue/yellow/red/green/violet)
    • VQ-007: Image size - appropriate dimensions with bbox_inches='tight'
    • VQ-008: Title - centered and clear
    • 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 - all values are configurable parameters with defaults
    • CR-001: Data accurate - correctly uses category and value columns
    • CR-002: Spec compliance - implements all required features (categories, values, proportions)
    • CR-003: Edge cases - handles empty data, negative values, zero sum

    Issues Found

    None - implementation is high quality.

    Minor Observations (not affecting score)

    1. The preview image shows labels on slices (legend disabled), while code defaults to legend=True. This is acceptable as both modes work correctly.
    2. Color palette includes red which could be problematic in red-green combinations, but green used is teal (#059669) which provides sufficient contrast.

    Strengths

    • Excellent input validation with informative error messages
    • Comprehensive parameter support (explode, shadow, custom colors, legend positioning)
    • Follows matplotlib library guidelines (uses ax.pie() not plt.pie())
    • Clean, professional visual output
    • Handles edge cases gracefully

    AI Feedback for Next Attempt

    No changes needed - implementation meets all quality criteria.

    Verdict: APPROVED

  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

    matplotlib 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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