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[box-basic] pygal implementation #332

Description

@github-actions

[box-basic] pygal Implementation

Parent Issue: #203
Spec: specs/box-basic.md
Library: pygal
Feature Branch: plot/box-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 numpy as np, import pygal, from pygal.style import Style
    • Plot function: pygal.Box

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #443)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    pygal (default) - UPDATE

    Before After
    Before After

    View version history (6 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 88/100 approve

    Criteria Checklist

    Visual Quality:

    • VQ-001: Axes labeled correctly - Y-axis shows "Value", X-axis shows "Group"
    • VQ-002: Visual clarity - Grid is subtle (dashed lines), doesn't dominate data
    • VQ-003: Elements clear - Box plots are clearly visible with good contrast
    • VQ-004: No overlap - Labels, legend, and boxes don't overlap
    • VQ-005: Legend present - Legend shows all 4 groups clearly at bottom
    • VQ-006: Colorblind safe - Uses pastel colors (blue, yellow, pink, green) - accessible palette
    • VQ-007: Image size - Default 1600x900 instead of spec target 4800x2700
    • VQ-008: Title present - "Distribution Comparison Across Groups" displayed clearly

    Code Quality:

    • CQ-001: Type hints present - All function parameters and return type annotated
    • CQ-002: Docstring complete - Google-style with Args, Returns, Raises, Example
    • CQ-003: Input validation - Checks for empty data and missing columns
    • CQ-004: Clear error messages - Includes available columns in error message
    • CQ-005: No magic numbers - Some hardcoded values (e.g., opacity=0.7) without named constants

    Correctness:

    • CR-001: Data accurate - Uses correct columns (values, groups) with proper handling
    • CR-002: Spec compliance - Implements box plot with quartiles, whiskers (Tukey 1.5×IQR), shows outliers
    • CR-003: Edge cases - Handles empty data and missing columns with proper errors

    Issues Found

    1. VQ-007 PARTIAL: Default width/height (1600x900) doesn't match the target 4800x2700 specified in pygal.md. However, these are configurable parameters and the 16:9 ratio is correct.
    2. CQ-005 PARTIAL: Some magic numbers like opacity values (0.7, 0.9) could be named constants, though they're common styling defaults.

    Strengths

    • Excellent docstring with complete Args, Returns, Raises, and Example sections
    • Robust input validation with helpful error messages listing available columns
    • Uses Tukey method for whiskers (correct 1.5×IQR behavior per spec)
    • Clean colorblind-safe color palette
    • Good use of TYPE_CHECKING for type hints without runtime overhead
    • Legend shows sample size (n=X) for each group - useful metadata

    AI Feedback for Next Attempt

    Consider using 4800x2700 as default dimensions to match the style guide specification.
    Minor: Could define OPACITY_DEFAULT = 0.7 as a constant.

    Verdict: APPROVED

    The implementation correctly creates box plots comparing statistical distributions across groups. It properly shows quartiles, whiskers extending to 1.5×IQR, and handles the data accurately. The code quality is high with comprehensive type hints, validation, and documentation. The visual output is clean and colorblind accessible.

  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

    pygal implementation for box-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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