Create movie from MEG inverse solution

Data were computed using mne-python (http://martinos.org/mne)

import os
import numpy as np

from surfer import Brain
from surfer.io import read_stc

print(__doc__)

"""
create Brain object for visualization
"""
brain = Brain('fsaverage', 'split', 'inflated', size=(800, 400))

"""
read and display MNE dSPM inverse solution
"""
stc_fname = os.path.join('example_data', 'meg_source_estimate-%s.stc')
for hemi in ['lh', 'rh']:
    stc = read_stc(stc_fname % hemi)
    data = stc['data']
    times = np.arange(data.shape[1]) * stc['tstep'] + stc['tmin']
    brain.add_data(data, colormap='hot', vertices=stc['vertices'],
                   smoothing_steps=10, time=times, hemi=hemi,
                   time_label=lambda t: '%s ms' % int(round(t * 1e3)))

"""
scale colormap
"""
brain.scale_data_colormap(fmin=13, fmid=18, fmax=22, transparent=True)

"""
Save a movie. Use a large value for time_dilation because the sample stc only
covers 30 ms.
"""
brain.save_movie('example_current.mov', time_dilation=30)

brain.close()