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[scatter-basic] seaborn implementation #241

Description

@github-actions

[scatter-basic] seaborn Implementation

Parent Issue: #207
Spec: specs/scatter-basic.md
Library: seaborn
Feature Branch: plot/scatter-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 numpy as np, import pandas as pd
    • Plot function: sns.scatterplot
    • Config: figsize=16, 9, color=#306998

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #353)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    seaborn (default) - UPDATE

    Before After
    Before After

    View version history (2 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

    • VQ-001: Axes labeled correctly ("X Value", "Y Value")
    • VQ-002: Grid is subtle (alpha=0.3)
    • VQ-003: Elements clear (appropriate size=30, alpha=0.6)
    • VQ-004: No overlap issues
    • VQ-005: Legend N/A (single series, no hue mapping)
    • VQ-006: Colorblind safe (steelblue)
    • VQ-007: Image size correct (16:9 aspect ratio)
    • VQ-008: Title centered and clear
    • CQ-001: Type hints present (full typing)
    • CQ-002: Docstring complete (Args, Returns, Raises, Example)
    • CQ-003: Input validation (empty data, columns, numeric types)
    • CQ-004: Clear error messages (lists available columns)
    • CQ-005: No magic numbers (all exposed as parameters)
    • CR-001: Data accurate
    • CR-002: Spec compliance
    • CR-003: Edge cases handled

    Issues Found

    None - implementation meets all quality criteria.

    Strengths

    1. Excellent input validation: Checks for empty data, missing columns, and non-numeric data types
    2. Complete docstring: Google-style with all required sections including Example
    3. Clean visual output: Subtle grid, appropriate point size and transparency for scatter data
    4. Library-specific best practices: Uses axes-level API (sns.scatterplot with ax=ax) per seaborn guidelines
    5. Flexible parameters: All styling options exposed with sensible defaults

    AI Feedback for Next Attempt

    No issues found - 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

    seaborn implementation for scatter-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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