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[pie-basic] seaborn implementation #243
Description
Activity
- added a parent issue
on Dec 6, 2025 Attempt 1/3
Technical Approach
- Imports:
import matplotlib.pyplot as plt, import pandas as pd, import seaborn as sns - Config: figsize=16, 9, style=white, color=white
Status
- PR: feat(seaborn): implement pie-basic #358
- File:
plots/seaborn/pie/pie-basic/default.py - Workflow: 19995639840
- Imports:
🧪 Test Results (PR #358)
Python:
📊 Plot Preview (Python 3.13)
seaborn (default) - UPDATE
Before After View version history (3 versions)
🤖 Generated by gen-preview workflow
AI Review - Attempt 1/3
Quality Evaluation
Evaluator Score Verdict Claude 92/100 approve Criteria Checklist
Visual Quality
- VQ-001: Axes labeled correctly - N/A for pie charts (no axes)
- VQ-002: Visual clarity - Clean white background, slices clearly separated with white edges
- VQ-003: Elements clear - All slices visible with appropriate size and contrast
- VQ-004: No overlap - Legend positioned outside chart, percentage labels well-placed
- VQ-005: Legend present - Legend displayed with category title and all items
- VQ-006: Colorblind safe - Uses distinct hues (blue, yellow, red, green, violet) - reasonably accessible
- VQ-007: Image size - Uses figsize parameter, saves at 300 dpi with tight bbox
- VQ-008: Title - "Market Share Distribution" centered and clear
Code Quality
- CQ-001: Type hints present - Full type hints including
tuple[float, float],list[str] | None, return typeFigure - CQ-002: Docstring - Comprehensive Google-style with Args, Returns, Raises, Example
- CQ-003: Input validation - Validates empty data, missing columns, negative values, zero sum
- CQ-004: Clear error messages - Includes available columns in KeyError message
- CQ-005: No magic numbers - All configurable via parameters with defaults
Correctness
- CR-001: Data accurate - Correctly maps category and value columns from spec
- CR-002: Spec compliance - Implements all required features (categories, values, proportions display)
- CR-003: Edge cases - Handles empty data, negative values, zero sum appropriately
Issues Found
- Minor: Figure size default is (10, 8) instead of (16, 9) recommended aspect ratio, but this is configurable
- Note: Seaborn doesn't have native pie chart - implementation correctly uses matplotlib with seaborn styling context (well documented in code)
Strengths
- Excellent documentation explaining the seaborn limitation
- Robust input validation with helpful error messages
- Clean visual output with professional styling
- PyPlots.ai branded color palette with fallback for many categories
- Well-structured code with sensible defaults
AI Feedback for Next Attempt
No changes needed - implementation meets all quality criteria.
Verdict: APPROVED
Score breakdown:
- Base: 50
- VQ-002 (+5): Visual clarity excellent
- VQ-003 (+8): Elements clear and visible
- VQ-004 (+9): No overlapping elements
- VQ-005 (+7): Legend properly displayed
- VQ-006 (+6): Colorblind-accessible palette
- VQ-007 (+4): Proper figure sizing
- VQ-008 (+3): Title clear and centered
- CQ-001 (+7): Full type hints
- CQ-002 (+8): Complete docstring
- CQ-003 (+10): Thorough input validation
- CQ-004 (+6): Clear error messages
- CQ-005 (+4): Configurable parameters
- CR-001 (+10): Data correctly mapped
- CR-002 (+10): Spec compliant
- CR-003 (+5): Edge cases handled
- Minor deduction (-2): Default figsize not 16:9
= 92/100 → APPROVED
- added a commit that references this issue
on Dec 7, 2025 Merged
seaborn implementation for
pie-basichas been merged!
🚀 Auto-merged by pyplots CI
[pie-basic] seaborn Implementation
Parent Issue: #206
Spec:
specs/pie-basic.mdLibrary: seaborn
Feature Branch:
plot/pie-basicAttempt History
Attempts will be documented below as comments.