[histogram-basic] plotnine implementation #245

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   • [histogram-basic] [update] Regenerate with KISS style #204
3. github-actions commented on Dec 6, 2025

   

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   Attempt 1/3

   Technical Approach

   • Imports: import numpy as np, import pandas as pd, from plotnine import aes, element_text, geom_histogram, ggplot, labs, theme, theme_minimal
   • Plot function: ggplot
   • Config: color=white

   Status

   • PR: feat(plotnine): implement histogram-basic #284
   • File: plots/plotnine/histogram/histogram-basic/default.py
   • Workflow: 19995638202

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   🧪 Test Results (PR #284)

   Python:

   📊 Plot Preview (Python 3.13)

   plotnine (default) - NEW

   

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   ⚠️ AI Review Failed

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   🧪 Test Results (PR #284)

   Python:

   📊 Plot Preview (Python 3.13)

   plotnine (default) - UPDATE

   Before	After

   View version history (2 versions)

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   🤖 Generated by gen-preview workflow
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10. claude commented on Dec 6, 2025

    

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    AI Review - Attempt 1/3

    Quality Evaluation

    Evaluator	Score	Verdict
    Claude	92/100	approve

    Criteria Checklist

    Visual Quality

    • VQ-001: Axes labeled correctly ("Value", "Frequency")
    • VQ-002: Grid is subtle (theme_minimal provides clean look)
    • VQ-003: Elements clear (bars with alpha=0.8, white edges)
    • VQ-004: No overlap (title, labels, and ticks well-spaced)
    • VQ-005: Legend present - N/A (single series histogram)
    • VQ-006: Colorblind safe (blue color #306998)
    • VQ-007: Image size correct (16x9 aspect ratio)
    • VQ-008: Title present and centered ("Basic Histogram")

    Code Quality (KISS style - per project guidelines)

    • CQ-001: Type hints - N/A (KISS plot style)
    • CQ-002: Docstring - N/A (KISS plot style)
    • CQ-003: Input validation - N/A (KISS plot style)
    • CQ-004: Clear error messages - N/A (KISS plot style)
    • CQ-005: No magic numbers - N/A (KISS plot style)

    Correctness

    • CR-001: Data accurate (normal distribution, mean=100, std=15, n=500)
    • CR-002: Spec compliance (matches all requirements)
    • CR-003: Edge cases - N/A (KISS plot style)

    Implementation Highlights

    1. Proper plotnine syntax: Uses ggplot grammar correctly with aes(), geom_histogram()
    2. Good visual styling: theme_minimal(), appropriate text sizes (20pt title/axes, 16pt ticks)
    3. Matches spec data: Uses exact data specification from spec (np.random.seed(42), normal(100, 15, 500))
    4. Clean output: White bar edges provide visual separation between bins
    5. Follows library conventions: Uses plotnine idioms correctly

    Issues Found

    None - implementation is clean and follows all guidelines.

    Verdict: APPROVED

    The plotnine histogram implementation is high quality, follows the KISS style guidelines for plot code, correctly implements the spec requirements, and produces a visually clear histogram.
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    ai-approvedQuality OK, ready for mergeQuality OK, ready for merge

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    feat(plotnine): implement histogram-basic (#284)

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    8649b78
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    ai-approvedQuality OK, ready for mergeQuality OK, ready for merge

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15. github-actions commented on Dec 6, 2025

    

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    Merged

    plotnine implementation for histogram-basic has been merged!

    • PR: feat(plotnine): implement histogram-basic #284

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    🚀 Auto-merged by pyplots CI
16. github-actions

    closed this as completedon Dec 6, 2025