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# Figure Export Usage Guide
## Overview
This guide covers exporting publication-ready figures with proper resolution, sizing, and formatting.
## Prerequisites
```bash
# Python
pip install matplotlib seaborn
# R
install.packages(c('ggplot2', 'cowplot', 'patchwork'))
```
## Quick Start
Tell your AI agent what you want to do:
- "Export my plot as a publication-ready PDF"
- "Save my figure at 300 DPI for journal submission"
- "Create a multi-panel figure with proper sizing"
- "Set up consistent styling for all my figures"
## Example Prompts
### Basic Export
> "Save my matplotlib figure as PDF and PNG at 300 DPI"
> "Export my ggplot as a 3.5 inch wide figure for a single-column journal"
### Journal Requirements
> "Format my figure for Nature submission (89mm single column width)"
> "Export my figure as TIFF with LZW compression for print publication"
### Styling
> "Set up Arial font and 8pt text for all my figures"
> "Create a consistent theme for my paper's figures"
### Multi-panel
> "Combine these 4 plots into a 2x2 figure with panel labels A, B, C, D"
> "Create a complex figure layout with different panel sizes"
## What the Agent Will Do
1. Set up figure dimensions and resolution
2. Configure fonts and styling
3. Export in requested format(s)
4. Add panel labels if multi-panel
5. Ensure colorblind-friendly palettes if requested
## Tips
- Vector formats (PDF, SVG) are preferred for line plots
- Use 300 DPI minimum for raster images
- Check journal guidelines for exact requirements
- Arial or Helvetica fonts are widely accepted
- Test figures at intended print size (not screen size)
- Use viridis or other colorblind-safe palettes
