Installation Guide

This section provides detailed information about installing PyRASA. Most of PyRASA’s functionality is available with the basic requirements, but PyRASA also has an optional dependency to integrate PyRASA in your workflow, when using MNE Python. This guide will cover both basic and fully-fledged PyRASA installs and several installation methods.

Stable PyRASA can be installed either using pip or conda-forge.

Using pip

pip install pyrasa

Using conda-forge

conda install -c conda-forge pyrasa

Development

If you want to install the latest development version of PyRASA, use the following command:

pip install git+https://github.com/schmidtfa/pyrasa

Dependencies

Required dependencies

The required dependencies for installing PyRASA are:

numpy >= 1.26
pandas >= 2.1
scipy >= 1.12
attrs

and

python >= 3.11

Optional dependencies

Optionally you can combine PyRASA with MNE Python to better integrate spectral parametrization in your M/EEG analysis workflow. If you already have an MNE Python installation running you can try to install PyRASA in the respective environment. If you don’t already have MNE Python in your environment you can install PyRASA including its optional dependency mne using either pip or conda-forge.

Using pip

pip install "pyrasa[mne]"

Using conda-forge

conda install -c conda-forge pyrasa mne

For a more detailed instruction on how to configure your MNE Python installation please refer to the mne installation guide.