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%matplotlib inline
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# Author: Jussi Nurminen (jnu@iki.fi)
#
# License: BSD (3-clause)
import mne
import os
from mne.datasets import hf_sef
fname_evoked = os.path.join(hf_sef.data_path(),
'MEG/subject_b/hf_sef_15min-ave.fif')
print(__doc__)
Read evoked data
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evoked = mne.Evoked(fname_evoked)
Create a highpass filtered version
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evoked_hp = evoked.copy()
evoked_hp.filter(l_freq=300, h_freq=None, fir_design='firwin')
Compare high-pass filtered and unfiltered data on a single channel
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ch = 'MEG0443'
pick = evoked.ch_names.index(ch)
edi = {'HF': evoked_hp, 'Regular': evoked}
mne.viz.plot_compare_evokeds(edi, picks=pick)