Basic pie chart for proportions [pie-basic]

[MarkusNeusinger]

Plot Request

A basic pie chart to visualize proportions and percentages of categorical data.

Use Cases

• Market share distribution
• Budget allocation breakdown
• Survey response percentages
• Composition of a whole

Expected Features

• Circular chart divided into slices
• Each slice represents a category's proportion
• Labels showing category names
• Percentage values displayed
• Clear legend
• Title support

Sample Data Suggestion

Simple categorical data with 4-6 categories and their values, e.g.:

• Category A: 35%
• Category B: 25%
• Category C: 20%
• Category D: 15%
• Category E: 5%

Notes

This is the most fundamental pie chart visualization. Should work as a baseline for more advanced variants like donut charts, exploded pie charts, etc.

Implementation Status

Library	Status	Score	PR	Attempts
matplotlib	✅ Merged	91	-	1/3
seaborn	✅ Merged	92	-	1/3
plotly	✅ Merged	92	-	1/3
bokeh	✅ Merged	91	-	1/3
altair	✅ Merged	91	-	1/3
plotnine	✅ Merged	92	-	1/3
pygal	✅ Merged	92	-	1/3
highcharts	✅ Merged	92	-	1/3

Last updated: 2025-12-03 22:31 UTC

[claude]

✅ Spec ID Assigned

Assigned ID: pie-basic

Rationale: This is a fundamental pie chart visualization for showing proportions and percentages of categorical data. The ID follows the standard {plot-type}-{variant} format where "pie" is the plot type and "basic" indicates it's the foundational implementation without additional features like donut cutouts, explosions, or animations.

Next Steps:

1. A maintainer will review this request
2. Once approved (label: approved), code generation will begin automatically
3. Implementations will be created for all 8 libraries

Spec will be created at: specs/pie-basic.md

[github-actions]

Spec Created

Spec ID: pie-basic
Branch: plot/pie-basic
File: specs/pie-basic.md

Next Steps

Triggering code generation for all 8 libraries...

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🤖 gen-create-spec workflow