math-figure-generator

Automate mathematical figure generation by using predefined layout patterns and matplotlib to visualize models and results. This streamlines creating publication-quality charts, plots, and diagrams directly from your data sources.

Yes, you can generate multi-panel plots with consistent colors and styles. The skill provides structured layout patterns and standardizes color palettes and font sizes across all figures for academic publishing.

Create a prediction fit plot by running a generate command with arguments specifying your claim, figure type, input CSV data source, and output SVG path. This automates visualization for contest paper evaluation results.

Yes, you need Python and matplotlib installed to visualize mathematical modeling results. The skill relies on these dependencies to handle figure contracts, apply predefined layouts, and generate output files.

Ensure reproducibility in data visualization by using tools that track data sources and reproduction parameters. The skill handles figure contracts and claims to maintain consistent, reproducible mathematical figures.

You can generate various mathematical figures including charts, plots, diagrams, and heatmaps for model evaluation and optimization results. These visualizations are tailored for analyses in contest papers and research publications.