Documentation | Paper

temporaldata is a Python package for easily working with temporal data. It provides advanced data structures and methods to work with multi-modal, multi-resolution time series data.

Installation

temporaldata is available for Python 3.10+ and has minimal dependencies (only numpy, pandas, and h5py).

To install the package, run the following command:

pip install temporaldata

Contributing

If you are planning to contribute to the package, you can install the package in development mode by running the following command:

pip install -e ".[dev]"

Install pre-commit hooks:

pre-commit install

Unit tests are located under test/. Run the entire test suite with

pytest

or test individual files via, e.g., pytest test/test_data.py

Run type-checking with

ty check

Cite

Please cite our paper if you use this code in your own work:

@inproceedings{
    azabou2023unified,
    title={A Unified, Scalable Framework for Neural Population Decoding},
    author={Mehdi Azabou and Vinam Arora and Venkataramana Ganesh and Ximeng Mao and Santosh Nachimuthu and Michael Mendelson and Blake Richards and Matthew Perich and Guillaume Lajoie and Eva L. Dyer},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
    year={2023},
}