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[pie-basic] altair implementation #265
Description
Activity
- added a parent issue
on Dec 6, 2025 Attempt 1/3
Technical Approach
- Imports:
import altair as alt, import pandas as pd - Plot function:
alt.Chart - Config: color=#FFFFFF
Status
- PR: feat(altair): implement pie-basic #352
- File:
plots/altair/arc/pie-basic/default.py - Workflow: 19995639840
- Imports:
🧪 Test Results (PR #352)
Python:
📊 Plot Preview (Python 3.13)
altair (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 87/100 approve Criteria Checklist
Visual Quality
- VQ-001: N/A (pie charts don't have axes)
- VQ-002: Visual Clarity - Clean design with white stroke separating slices
- VQ-003: Elements Clear - All 5 slices clearly visible with good contrast
- VQ-004: No Overlap - Legend and title positioned well, no overlapping elements
- VQ-005: Legend Present - Legend displayed on right side with all categories
- VQ-006: Colorblind Safe - Uses distinguishable colors (yellow, red, green, purple, blue)
- VQ-007: Image Size - Uses 400x400 with scale_factor=2.0, not target 4800x2700 (-2)
- VQ-008: Title - "Market Share Distribution" centered and clear
Code Quality
- CQ-001: Type Hints - Full type annotations for all parameters and return type
- 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 - Lists available columns in KeyError
- CQ-005: Parameters with documented defaults
Correctness
- CR-001: Data Accurate - Uses correct category and value columns
- CR-002: Spec Compliance - Implements all spec requirements (pie chart, 5 categories, proportions)
- CR-003: Edge Cases - Handles empty data, negative values, zero sum
Issues Found
-
VQ-007 PARTIAL: Image dimensions are 400x400 with scale_factor=2.0 (800x800 output) instead of target 4800x2700. Minor issue as Altair charts are typically smaller and the scale_factor partially compensates.
-
Minor: Percentage labels (
show_labels=True) may not be visible in the output - white text on colored backgrounds can have contrast issues depending on slice colors.
Strengths
- Excellent code structure with comprehensive type hints and docstring
- Robust input validation covering multiple edge cases
- Clean visual output with proper legend and title
- Uses PyPlots.ai color palette
- Supports donut chart via inner_radius parameter
- Good use of Altair's declarative syntax with
mark_arc
AI Feedback for Next Attempt
If revision needed: Consider using width=1600, height=900 with scale_factor=3.0 for target output dimensions
Consider adjusting text label positioning or color for better visibility on all slice colorsVerdict: APPROVED
The implementation meets the spec requirements with good visual output and excellent code quality. The minor image size deviation doesn't significantly impact usability.
- added a commit that references this issue
on Dec 7, 2025 Merged
altair implementation for
pie-basichas been merged!
🚀 Auto-merged by pyplots CI
[pie-basic] altair Implementation
Parent Issue: #206
Spec:
specs/pie-basic.mdLibrary: altair
Feature Branch:
plot/pie-basicAttempt History
Attempts will be documented below as comments.