A package for interfacing with acquired data from Project Aeon experiments.
Project description
aeon_api
Project Aeon low-level library for interfacing with acquired data. Contains modules for loading and processing raw data.
Set-up Instructions
We recommend uv for python version, environment, and package dependency management. However, any other tool compatible with the pyproject.toml standard should work.
Install from PyPI
uv pip install swc-aeon
Install from source
git clone https://github.com/SainsburyWellcomeCentre/aeon_api
cd aeon_api
uv sync --all-extras
Repository Contents
.github/workflows/: GitHub actions workflows for building the environment and running testsaeon/: Source code for the Aeon Python packageaeon/analysis: Source code for processing and plotting the raw dataaeon/io: Source code for loading raw dataaeon/schema: Core modules for defining data schemas used to load raw data from particular experiments
tests/: API unit teststests/data: Data used by teststests/io: Unit tests for the low-level raw data access API.tests/schema: Schemas used to load sample data in test functions.
Citation Policy
If you use this software, please cite it as below:
Sainsbury Wellcome Centre Foraging Behaviour Working Group. (2023). Aeon: An open-source platform to study the neural basis of ethological behaviours over naturalistic timescales, https://doi.org/10.5281/zenodo.8411157
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