gplotter 0.1.1

CLI-based GNUPlot script generator

GNUPlot Script Generator

A powerful and flexible Python-based CLI tool to automatically generate GNUPlot scripts from your data files.

This tool supports multiple plot types, auto-detects headers, manages legends, and allows advanced customization like margins, axis labels, offsets, and export formats (PNG, EPS, PDF).

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📦 Installation

pip install .

Make sure your gnuplot_gen module is installed in the active environment and accessible via CLI as gnuplot-gen.

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🚀 CLI Usage

gnuplot-gen --input data.csv --plot_type line --output plot.gnu --title "Sample Plot"

Common Arguments

Argument	Description
--input	Input data file (CSV or TSV)
--output	Output .gnu file
--plot_type	Plot type: line, histogram, scatter
--title	Plot title
--xlabel	X-axis label
--ylabel	Y-axis label
--legend	Show legend (yes or no)
--font_size	Font size (default: 14)
--width	Width of the output plot in inches
--height	Height of the output plot in inches
--output_format	png, eps, pdf, or svg
--xrange_min / --xrange_max	Limit the X-axis range
--yrange_min / --yrange_max	Limit the Y-axis range
--y_x_diff	Difference between ytics

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🧠 Features

✅ Auto-detect headers and use as legends ✅ Supports line, histogram, scatter plots ✅ Multiple output formats: PNG, EPS, PDF, SVG ✅ Custom margins, offsets, label positions ✅ Clean and reusable GNUPlot scripts ✅ Easily extendable and modular

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📄 Example

Input CSV (example.csv)

X,Y1,Y2
1,10,20
2,15,25
3,20,30

Command

gnuplot-gen --input example.csv --plot_type line --title "My Line Plot" --output plot.gnu

This generates a script plot.gnu that can be run using:

gnuplot plot.gnu

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🛠 Development

To run locally:

git clone https://github.com/yourusername/gnuplot-gen.git
cd gnuplot-gen
pip install -e .
gnuplot-gen --help

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🤝 Contributing

Feel free to fork the repo and submit pull requests. Suggestions and feature requests are welcome!

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📄 License

This project is licensed under the MIT License.