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[histogram-basic] matplotlib implementation #483
Description
Activity
- added a parent issue
on Dec 7, 2025 🧪 Test Results (PR #486)
Python:
📊 Plot Preview (Python 3.13)
matplotlib (default) - UPDATE
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🧪 Test Results (PR #486)
Python:
📊 Plot Preview (Python 3.13)
matplotlib (default) - UPDATE
Before After View version history (8 versions)
🤖 Generated by gen-preview workflow
AI Review - Attempt 1/3
Quality Evaluation
Evaluator Score Verdict Claude 92/100 approve Criteria Checklist
- VQ-001: Axes labeled correctly (X: "Value", Y: "Frequency")
- VQ-002: Grid is subtle (y-axis only, alpha=0.3, dashed)
- VQ-003: Elements clear (bars with alpha=0.8, black edges)
- VQ-004: No overlapping labels or elements
- VQ-005: Legend present (N/A - single series histogram)
- VQ-006: Colorblind safe (steelblue color)
- VQ-007: Image size correct (16:9 aspect ratio)
- VQ-008: Title centered and clear
- CQ-001: Type hints present on all parameters
- CQ-002: Google-style docstring with Args, Returns, Raises, Example
- CQ-003: Input validation (empty data, missing column, non-numeric, NaN)
- CQ-004: Clear error messages with context
- CQ-005: No magic numbers (all defaults named)
- CR-001: Data accurately represented
- CR-002: Spec compliance (frequency distribution histogram)
- CR-003: Edge cases handled
Issues Found
None - all criteria met.
Summary
Excellent implementation that:
- Creates a clean, readable histogram with proper normal distribution visualization
- Uses Axes methods correctly per matplotlib guidelines (ax.hist(), ax.set_xlabel(), etc.)
- Provides comprehensive input validation with helpful error messages
- Has complete type hints and thorough documentation
- Follows 16:9 aspect ratio and proper styling
- Handles edge cases including empty data, NaN values, and non-numeric columns
Verdict: APPROVED
- added a commit that references this issue
on Dec 7, 2025 Merged
matplotlib implementation for
histogram-basichas been merged!
🚀 Auto-merged by pyplots CI
[histogram-basic] matplotlib Implementation
Parent Issue: #206
Spec:
specs/histogram-basic.mdLibrary: matplotlib
Feature Branch:
plot/histogram-basicAttempt History
Attempts will be documented below as comments.