{ "nbformat_minor": 0, "nbformat": 4, "cells": [ { "execution_count": null, "cell_type": "code", "source": [ "%matplotlib inline" ], "outputs": [], "metadata": { "collapsed": false } }, { "source": [ "\n# Plotting EEG sensors on the scalp\n\n\nIn this example, digitized EEG sensor locations are shown on the scalp.\n\n" ], "cell_type": "markdown", "metadata": {} }, { "execution_count": null, "cell_type": "code", "source": [ "# Author: Eric Larson \n#\n# License: BSD (3-clause)\n\nimport mne\nfrom mne.viz import plot_trans\nfrom mayavi import mlab\n\nprint(__doc__)\n\ndata_path = mne.datasets.sample.data_path()\nsubjects_dir = data_path + '/subjects'\ntrans = mne.read_trans(data_path + '/MEG/sample/sample_audvis_raw-trans.fif')\nraw = mne.io.read_raw_fif(data_path + '/MEG/sample/sample_audvis_raw.fif')\nfig = plot_trans(raw.info, trans, subject='sample', dig=False,\n eeg_sensors=['original', 'projected'],\n meg_sensors=[], coord_frame='head', subjects_dir=subjects_dir)\nmlab.view(135, 80)" ], "outputs": [], "metadata": { "collapsed": false } } ], "metadata": { "kernelspec": { "display_name": "Python 2", "name": "python2", "language": "python" }, "language_info": { "mimetype": "text/x-python", "nbconvert_exporter": "python", "name": "python", "file_extension": ".py", "version": "2.7.13", "pygments_lexer": "ipython2", "codemirror_mode": { "version": 2, "name": "ipython" } } } }