pybrainlife 1.1.41

This project is a collection of functions that are useful for analyzing MRI data derivatives generated on brainlife.io

pybrainlife

This repository contains the python package for collecting, collating, manipulating, analyzing, and visualizing MRI data generated on brainlife.io. Designed to used within the brainlife.io Analysis tab Jupyter notebooks, can be installed as a pypi package to your local machine.

Authors

• Brad Caron ([e-mail])

Contributors

• Soichi Hayashi ([e-mail])
• Franco Pestilli ([e-mail])

Funding

Citations

Please cite the following articles when publishing papers that used data, code or other resources created by the brainlife.io community.

1. Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y

Directory structure

pybrainlife
├── dist
│   ├── pybrainlife-1.0.0-py3-none-any.whl
│   └── pybrainlife-1.0.0.tar.gz
├── poetry.lock
├── pybrainlife
│   ├── data
│   │   ├── collect.py
│   │   └── manipulate.py
│   ├── __init__.py
│   └── vis
│       ├── plots.py
│       └── __pycache__
│           ├── data.cpython-38.pyc
│           └── plots.cpython-38.pyc
├── pyproject.toml
├── README.md
└── tests
    ├── __init__.py
    └── test_pybrainlife.py

Installing locally

This package can be installed locally via PyPi using the following command:

pip install pybrainlife

Dependencies

This package requires the following libraries.

• python = "3.8"
• numpy = "^1.9.3"
• bctpy = "^0.5.2"
• seaborn = "^0.11.2"
• jgf = "^0.2.2"
• scikit-learn = "^1.0.2"
• pandas = "^1.4.2"
• scipy = "^1.8.0"
• requests = "^2.27.1"

Library of Modules for Loading Data and Analyzing Data from brainlife.io

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