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[box-basic] matplotlib implementation #214

Description

@github-actions

[box-basic] matplotlib Implementation

Parent Issue: #203
Spec: specs/box-basic.md
Library: matplotlib
Feature Branch: plot/box-basic


Attempt History

Attempts will be documented below as comments.

Activity

  1. github-actions commented on Dec 6, 2025

    @github-actions
    ContributorAuthor

    Attempt 1/3

    Technical Approach

    • Imports: import matplotlib.pyplot as plt, import numpy as np, import pandas as pd
    • Plot function: ax.boxplot
    • Config: figsize=16, 9, style=--

    Status


  2. github-actions commented on Dec 6, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #294)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    matplotlib (default) - UPDATE

    Before After
    Before After

    View version history (4 versions)


    🤖 Generated by gen-preview workflow

  3. github-actions commented on Dec 6, 2025

    @github-actions
    ContributorAuthor

    ⚠️ AI Review Failed

    The AI review action failed or timed out.

    Options:

    1. Re-run the workflow manually
    2. Trigger a new preview generation
    3. Request manual human review

    🤖 Automated notification

  4. github-actions commented on Dec 6, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #294)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    matplotlib (default) - UPDATE

    Before After
    Before After

    View version history (5 versions)


    🤖 Generated by gen-preview workflow

  5. claude commented on Dec 6, 2025

    @claude
    Contributor

    AI Review - Attempt 1/3

    Quality Evaluation

    Evaluator Score Verdict
    Claude 92/100 approve

    Criteria Checklist

    Visual Quality

    • VQ-001: Axes labeled correctly ("Group" and "Value" - meaningful labels)
    • VQ-002: Visual clarity (grid is subtle, y-axis only, dashed with alpha=0.3)
    • VQ-003: Elements clear (boxes, whiskers, medians, and outliers all visible with good contrast)
    • VQ-004: No overlap (labels, ticks, and elements well-spaced)
    • VQ-005: Legend present - N/A (single visualization type, no color mapping requiring legend)
    • VQ-006: Colorblind safe (uses Set2 colormap which is colorblind-friendly)
    • VQ-007: Image size (16:9 aspect ratio, proper dimensions)
    • VQ-008: Title present and centered ("Basic Box Plot")

    Code Quality

    • 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 for empty data and missing columns)
    • CQ-004: Clear error messages (includes available columns in KeyError)
    • CQ-005: No magic numbers (figsize, widths, alpha all parameterized or documented)

    Correctness

    • CR-001: Data accurate (correctly groups data and creates boxplot)
    • CR-002: Spec compliance (shows quartiles, whiskers at 1.5×IQR, outliers as points)
    • CR-003: Edge cases handled (empty data raises ValueError, NaN values dropped via dropna())

    Library-Specific

    • Uses tick_labels instead of deprecated labels parameter (matplotlib 3.9+ compatible)
    • Uses Axes methods (ax.boxplot()) instead of pyplot
    • Correct folder structure: plots/matplotlib/boxplot/box-basic/

    Issues Found

    None - implementation is solid and meets all criteria.

    Minor Observations (not point deductions)

    1. The red median line color (#FF0000) is distinctive but could potentially be considered high-contrast; however, it serves its purpose well for visibility.
    2. The implementation includes thoughtful extras like automatic x-label rotation for many groups.

    AI Feedback for Next Attempt

    N/A - No improvements needed.

    Verdict: APPROVED

    The implementation correctly creates a box-and-whisker plot that:

    • Displays quartiles (Q1, median, Q3) for each group
    • Shows whiskers extending to data range within 1.5×IQR
    • Marks outliers as individual points
    • Uses colorblind-safe palette
    • Follows all matplotlib best practices and library-specific guidelines
  6. added
    ai-approvedQuality OK, ready for merge
    and removed on Dec 6, 2025
  7. github-actions commented on Dec 6, 2025

    @github-actions
    ContributorAuthor

    Merged

    matplotlib implementation for box-basic has been merged!


    🚀 Auto-merged by pyplots CI

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