Pympute

A powerful Python package for data imputation, designed to handle missing values in scientific datasets efficiently and accurately.

Features

• Advanced imputation algorithms
• User-friendly GUI interface
• Support for various data formats
• Interactive Jupyter notebook integration
• Google Colab compatibility

Installation

Local Installation (Recommended)

We recommend using Anaconda for local installation:

# Clone the repository
git clone https://github.com/TheDecodeLab/python-imputation.git
cd python-imputation

# Create and activate conda environment
conda env create -f environment.yml
conda activate impute

# Install the package
python setup.py install

# Run the application
pympute 8501

Google Colab Installation

For a quick start with the GUI interface, you can use Google Colab and the sample data here :

Usage

Detailed usage instructions and examples can be found in the notebooks directory.

Citation

If you use Pympute in your research, please cite our work:

@article{pympute,
    title={Pympute: Flexible imputation toolkit for electronic health records},
    authors={Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, Mohammed Yeasin, Ming Wang, Harold Lehmann, Ramin Zand, Vida Abedi},
    journal={Scientific Repotrs},
    year={2025},
    DOI={10.1038/s41598-025-02276-5}
}

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Contact

For questions and support, please open an issue on GitHub or contact the maintainers.