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[box-basic] altair implementation #242

Description

@github-actions

[box-basic] altair Implementation

Parent Issue: #203
Spec: specs/box-basic.md
Library: altair
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 altair as alt, import numpy as np, import pandas as pd
    • Plot function: alt.Chart

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #349)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    altair (default) - UPDATE

    Before After
    Before After

    View version history (4 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

    Visual Quality

    • VQ-001: Axes labeled correctly (X: "Group", Y: "Value" - meaningful labels)
    • VQ-002: Visual clarity (Grid is subtle with dashed lines, opacity=0.3)
    • VQ-003: Elements clear (Boxes clearly visible with appropriate opacity=0.7, outliers marked)
    • VQ-004: No overlap (Labels, ticks all readable, no overlap)
    • VQ-005: Legend present (N/A - legend hidden as x-axis already shows groups, appropriate choice)
    • VQ-006: Colorblind safe (Uses 'set2' color scheme which is colorblind friendly)
    • VQ-007: Image size (5004 × 2955 px - close to target 4800 × 2700, acceptable)
    • VQ-008: Title (Present: "Basic Box Plot", centered)

    Code Quality

    • CQ-001: Type hints present (Optional, Chart return type, TYPE_CHECKING)
    • CQ-002: Docstring complete (Google-style with Args, Returns, Raises, Example)
    • CQ-003: Input validation (Empty data check, column existence validation)
    • CQ-004: Clear error messages (Shows available columns on KeyError)
    • CQ-005: No magic numbers (Parameters have defaults in function signature)

    Correctness

    • CR-001: Data accurate (Correct columns used for x/y encoding)
    • CR-002: Spec compliance (Box plot with quartiles, whiskers at 1.5×IQR, outliers shown)
    • CR-003: Edge cases (Empty data raises ValueError, missing columns raise KeyError)

    Issues Found

    None - Implementation meets all quality criteria.

    Positive Highlights

    1. Excellent tooltips: Shows count, min, Q1, median, Q3, max on hover
    2. Smart label rotation: Auto-rotates labels at 45° when >5 groups
    3. Sample size annotations: Text annotations showing count per group
    4. Proper Altair patterns: Uses mark_boxplot() as specified in library guide
    5. Configurable: All visual aspects parameterized (color scheme, dimensions, labels)

    AI Feedback for Next Attempt

    No changes needed - implementation is production ready.

    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

    altair 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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