[histogram-basic] bokeh implementation #228

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   • [histogram-basic] [update] Regenerate with KISS style #204
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   Attempt 1/3

   Technical Approach

   • Imports: import numpy as np, from bokeh.io import export_png, from bokeh.plotting import figure
   • Config: color=#306998

   Status

   • PR: feat(bokeh): implement histogram-basic #309
   • File: plots/bokeh/quad/histogram-basic/default.py
   • Workflow: 19995638202

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   Attempt 1/3

   Technical Approach

   • Imports: import numpy as np, from bokeh.io import export_png, from bokeh.plotting import figure
   • Config: color=#306998

   Status

   • PR: feat(bokeh): implement histogram-basic #309
   • File: plots/bokeh/quad/histogram-basic/default.py
   • Workflow: 19995638202

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7. github-actions commented on Dec 7, 2025

   

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   Attempt 1/3

   Technical Approach

   • Imports: import numpy as np, from bokeh.io import export_png, from bokeh.plotting import figure
   • Config: color=#306998

   Status

   • PR: feat(bokeh): implement histogram-basic #309
   • File: plots/bokeh/quad/histogram-basic/default.py
   • Workflow: 19997967316

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    🧪 Test Results (PR #309)

    Python:

    📊 Plot Preview (Python 3.13)

    bokeh (default) - NEW

    

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    🤖 Generated by gen-preview workflow
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12. claude commented on Dec 7, 2025

    

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    AI Review - Attempt 1/3

    Quality Evaluation

    Evaluator	Score	Verdict
    Claude	92/100	approve

    Criteria Checklist

    • VQ-001: Axes labeled correctly - "Value" and "Frequency" are meaningful labels
    • VQ-002: Visual Clarity - Grid alpha=0.3 is subtle and doesn't dominate
    • VQ-003: Elements clear - Bars visible with alpha=0.7, white line separators
    • VQ-004: No Overlap - Labels and ticks readable, no overlaps
    • VQ-005: Legend - N/A (single series, no legend needed)
    • VQ-006: Colorblind Safe - Uses Python blue (#306998), no red-green issues
    • VQ-007: Image Size - Correct 4800x2700 px
    • VQ-008: Title - "Basic Histogram" centered and clear
    • CQ-001: Type hints - N/A (KISS style for plot scripts)
    • CQ-002: Docstring - N/A (KISS style for plot scripts)
    • CQ-003: Input validation - N/A (KISS style uses inline data)
    • CQ-004: Clear error messages - N/A (KISS style)
    • CQ-005: No magic numbers - Values documented in comments
    • CR-001: Data accurate - Correctly uses 500 values, mean=100, std=15
    • CR-002: Spec compliance - Implements all requirements from spec
    • CR-003: Edge cases - N/A (KISS style uses known-good sample data)

    Issues Found

    None - implementation meets all requirements.

    Score Breakdown

    Base: 50 points
    +10 VQ-001 (axes labeled)
    +5  VQ-002 (visual clarity)
    +8  VQ-003 (elements clear)
    +9  VQ-004 (no overlap)
    +0  VQ-005 (legend N/A)
    +6  VQ-006 (colorblind safe)
    +4  VQ-007 (image size)
    +3  VQ-008 (title)
    +10 CR-001 (data accurate)
    +10 CR-002 (spec compliance)
    -5  Minor: Could use ColumnDataSource for consistency with bokeh best practices
    -8  CQ criteria N/A for KISS style plots
    = 92/100
    

    Positive Highlights

    1. Correct glyph choice: Using quad for histogram is the appropriate bokeh approach
    2. Good styling: Font sizes scaled up appropriately for high-resolution output
    3. Clean distribution: Bell curve clearly visible around mean=100
    4. Proper bin handling: Uses numpy histogram with 30 bins for good granularity
    5. Y-axis starts at 0: Correct visualization practice for histograms

    AI Feedback for Next Attempt

    N/A - Implementation approved

    Verdict: APPROVED
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    ai-approvedQuality OK, ready for mergeQuality OK, ready for merge

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    feat(bokeh): implement histogram-basic (#309)

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

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16. github-actions commented on Dec 7, 2025

    

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    Merged

    bokeh implementation for histogram-basic has been merged!

    • PR: feat(bokeh): implement histogram-basic #309

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    🚀 Auto-merged by pyplots CI
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    ai-approvedQuality OK, ready for mergeQuality OK, ready for merge

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

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