This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

SCoT is a Python package for EEG/MEG source connectivity estimation.

Obtaining SCoT

##### From PyPi

Use the following command to install SCoT from PyPi:

pip install scot

##### From Source

Use the following command to fetch the sources:

git clone –recursive https://github.com/scot-dev/scot.git scot

The flag –recursive tells git to check out the numpydoc submodule, which is required for building the documentation.

Documentation

Documentation is available online at http://scot-dev.github.io/scot-doc/index.html.

Dependencies

Required: numpy, scipy

Optional: matplotlib, scikit-learn

The lowest supported versions of these libraries are numpy 1.8.0, scipy 0.13.3, scikit-learn 0.15.0, and matplotlib 1.4.0. Lower versions may work but are not tested.

Examples

To run the examples on Linux, invoke the following commands inside the SCoT main directory:

PYTHONPATH=. python examples/misc/connectivity.py

PYTHONPATH=. python examples/misc/timefrequency.py

etc.

Note that you need to obtain the example data from https://github.com/SCoT-dev/scot-data. The scot-data package must be on Python’s search path.

Note

As of version 0.2, the data format in all SCoT routines has changed. It is now consistent with Scipy and MNE-Python. Specifically, epoched input data is now arranged in three-dimensional arrays of shape (epochs, channels, samples). In addition, continuous data is now arranged in two-dimensional arrays of shape (channels, samples).

Release History

Release History

0.2.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.1

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
scot-0.2.1-py2.py3-none-any.whl (57.7 kB) Copy SHA256 Checksum SHA256 3.4 Wheel Feb 9, 2016

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