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[histogram-basic] matplotlib implementation #490

Description

@github-actions

[histogram-basic] matplotlib Implementation

Parent Issue: #206
Spec: specs/histogram-basic.md
Library: matplotlib
Feature Branch: plot/histogram-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: ax.hist
    • Config: figsize=16, 9, color=#306998

    Status


  2. github-actions commented on Dec 7, 2025

    @github-actions
    ContributorAuthor

    🧪 Test Results (PR #499)

    Python: 3.13 3.13 3.12 3.11

    📊 Plot Preview (Python 3.13)

    matplotlib (default) - UPDATE

    Before After
    Before After

    View version history (9 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 95/100 approve

    Criteria Checklist

    Visual Quality

    • VQ-001: Axes labeled correctly ("Value", "Frequency")
    • VQ-002: Grid is subtle (y-axis only, alpha=0.3)
    • VQ-003: Elements clear (alpha=0.8, steelblue bars with edge)
    • VQ-004: No overlap (clean layout, tight_layout applied)
    • VQ-005: Legend present - N/A (single series histogram)
    • VQ-006: Colorblind safe (steelblue is safe)
    • VQ-007: Image size correct (16:9 aspect ratio)
    • VQ-008: Title present and clear ("Basic Histogram")

    Code Quality

    • CQ-001: Type hints present (all parameters and return type)
    • CQ-002: Docstring complete (Args, Returns, Raises, Example)
    • CQ-003: Input validation comprehensive (empty data, missing column, non-numeric, NaN)
    • CQ-004: Clear error messages with context
    • CQ-005: No magic numbers (all values parameterized)

    Correctness

    • CR-001: Data accurate (correct column used)
    • CR-002: Spec compliance (matches histogram-basic requirements)
    • CR-003: Edge cases handled (NaN values dropped gracefully)

    Issues Found

    None - implementation meets all quality criteria.

    Strengths

    1. Comprehensive input validation with informative error messages
    2. Clean visual presentation with subtle grid and appropriate styling
    3. Well-documented with complete docstring including usage example
    4. Proper use of Axes methods as per matplotlib library rules
    5. Flexible API with sensible defaults and **kwargs passthrough

    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

    matplotlib implementation for histogram-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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