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[pie-basic] plotnine implementation #270

Description

@github-actions

[pie-basic] plotnine Implementation

Parent Issue: #206
Spec: specs/pie-basic.md
Library: plotnine
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, color=white

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #370)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    plotnine (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 78/100 reject

    Criteria Checklist

    • [N/A] VQ-001: Axes labeled correctly - Pie charts don't have axes
    • VQ-002: Visual clarity - Clean, elements distinguishable
    • VQ-003: Elements clear - Slices and percentages clearly visible
    • VQ-004: No overlap - Legend, labels, text all readable
    • VQ-005: Legend present - Yes, with category names
    • VQ-006: Colorblind safe - Uses distinct colors, no red-green adjacent
    • VQ-007: Image size - Appropriate figure size
    • VQ-008: Title - Present and centered
    • CQ-001: Type hints present - All parameters typed
    • CQ-002: Docstring - Complete Google-style with Args, Returns, Raises, Example
    • CQ-003: Input validation - Thorough validation for all edge cases
    • CQ-004: Clear error messages - Includes available columns in errors
    • CQ-005: No magic numbers - All values parameterized
    • CR-001: Data accurate - Correct data representation
    • CR-002: Spec compliance - Matches spec requirements
    • CR-003: Edge cases - Handles empty data, negatives, zero totals

    Issues Found

    1. CRITICAL: Not a plotnine implementation - The code uses matplotlib directly (matplotlib.pyplot) instead of plotnine's grammar of graphics. While the code correctly notes that plotnine doesn't support coord_polar(), this means the implementation doesn't actually demonstrate plotnine's capabilities.

    2. Library misrepresentation - The file is in plots/plotnine/ but imports and uses matplotlib.pyplot for all rendering. This violates the core principle that each library folder should contain implementations using that specific library.

    AI Feedback for Next Attempt

    Option 1 (Recommended): Mark this spec as not-feasible for plotnine since the library genuinely lacks coord_polar() support needed for pie charts. This is the honest approach.

    Option 2: If we want a plotnine file, implement a workaround using stacked bar chart with coord_flip() that resembles a horizontal bar chart showing proportions (not a true pie but uses actual plotnine). However, this wouldn't match the spec for a "pie chart".

    The current approach of putting matplotlib code in the plotnine folder is misleading to users who want to learn how to create pie charts with plotnine.

    Verdict: REJECTED

    The implementation is technically excellent matplotlib code with proper validation and documentation, but it does not use plotnine at all. A plotnine implementation folder should contain plotnine code. Since plotnine lacks the capability to create pie charts, this spec should be marked as not-feasible for this library rather than including matplotlib code disguised as plotnine.

  4. added
    ai-rejectedQuality not OK, triggers update
    and removed on Dec 7, 2025
  5. added
    ai-approvedQuality OK, ready for merge
    and removed
    ai-rejectedQuality not OK, triggers update
    on Dec 7, 2025
  6. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    Merged

    plotnine implementation for pie-basic has been merged!


    🚀 Auto-merged by pyplots CI

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