README.md

DATA VISUALISATION

This directory contains a series of practicals which focus on using Python for data visualisation.

1. bokeh - package for creating interactive visualisations. This folder contains two files: a notebook that collates multiple examples from the bokeh documentation into a single notebook, and an example Python script that uses bokeh to create a simple GUI to run FSL BET.
2. fsleyes_render.md - learn to use FSLeyes in the command line to create a range of static and dynamic figures. This is not focused on Python per se.
3. matplotlib.ipynb - the most popular generic data visualisation package in Python.
4. plotly.ipynb - an alternative to bokeh for creating interactive plots.
5. nilearn.ipynb - package for doing machine learning in neuroimaging in Python. This tutorial focuses on using the visualisation tools in nilearn.