Conventional Plot Digitizer

Overview

Conventional Plot Digitizer is a user-friendly tool designed to streamline the process of digitizing data from plots and graphs. This tool is especially useful for research assistants, engineers, and students who need to extract numerical data from visual representations for analysis and further research.

Features

• Interactive user interface for easy plot selection and data extraction.
• Automatic data point detection and digitization.
• Export digitized data to various formats (CSV, Excel, etc.).
• Customizable settings for accuracy and precision.

Installation

1. Clone this repository.
2. Install the required dependencies: pandas, numpy, scipy and matplotlib.
3. Run the plot_digitizer.py script.

Usage

1. Launch the tool and load the plot image.
2. Define calibration parameters if necessary.
3. Click on data points to automatically extract coordinates.
4. Review and adjust digitized data.
5. Export data to preferred format.

Contribution

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

We would like to thank Pantelis Liolios (2020) for the inspiration.