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"""
==================================
Shifting time-scale in evoked data
==================================
"""
# Author: Mainak Jas <mainak@neuro.hut.fi>
#
# License: BSD (3-clause)
print(__doc__)
import matplotlib.pyplot as plt
import mne
from mne.viz import tight_layout
from mne.datasets import sample
data_path = sample.data_path()
fname = data_path + '/MEG/sample/sample_audvis-ave.fif'
# Reading evoked data
condition = 'Left Auditory'
evoked = mne.read_evokeds(fname, condition=condition, baseline=(None, 0),
proj=True)
ch_names = evoked.info['ch_names']
picks = mne.pick_channels(ch_names=ch_names, include="MEG 2332", exclude="bad")
# Create subplots
f, (ax1, ax2, ax3) = plt.subplots(3)
evoked.plot(exclude=[], picks=picks, axes=ax1,
titles=dict(grad='Before time shifting'))
# Apply relative time-shift of 500 ms
evoked.shift_time(0.5, relative=True)
evoked.plot(exclude=[], picks=picks, axes=ax2,
titles=dict(grad='Relative shift: 500 ms'))
# Apply absolute time-shift of 500 ms
evoked.shift_time(0.5, relative=False)
evoked.plot(exclude=[], picks=picks, axes=ax3,
titles=dict(grad='Absolute shift: 500 ms'))
tight_layout()
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