paper-figure

Generate publication-quality figures by reading experiment data and applying a consistent plotting style to produce vector PDFs and LaTeX include snippets. This workflow supports line, bar, scatter, and heatmap plots, alongside multi-panel composition for seamless manuscript integration.

Yes, you can assemble multi-panel figures and export LaTeX-ready output snippets automatically. The process reads input data, applies consistent styling, and generates vector PDFs along with include snippets for direct integration into your manuscript.

Yes, this data visualization tool works with matplotlib, pandas, and numpy as its core dependencies. It leverages these libraries to read input data arrays and generate publication-quality line, bar, scatter, and heatmap plots.

The best way to ensure consistent visual style across research plots is to use an automated generation workflow that applies a uniform plotting style to all experiment data. This guarantees publication-quality output and vector PDFs without manual formatting.

No, you do not need existing figures to use the LaTeX snippet export feature. The workflow can generate new publication-quality plots from experiment data and automatically produce the required LaTeX include snippets for your paper.