本文整理匯總了Python中mne.viz方法的典型用法代碼示例。如果您正苦於以下問題：Python mne.viz方法的具體用法？Python mne.viz怎麽用？Python mne.viz使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類mne的用法示例。
在下文中一共展示了mne.viz方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: plot_td_dics
# 需要導入模塊: import mne [as 別名]
# 或者: from mne import viz [as 別名]
def plot_td_dics(events_id, bipolar, tmin_plot, tmax_plot, freq_bins):
from mne.viz import plot_source_spectrogram
from mne.source_estimate import _make_stc
# Plotting source spectrogram for source with maximum activity
# Note that tmin and tmax are set to display a time range that is smaller than
# the one for which beamforming estimates were calculated. This ensures that
# all time bins shown are a result of smoothing across an identical number of
# time windows.
region = 'bipolar_electrodes' if bipolar else 'regular_electrodes'
data_fol = os.path.join(SUBJECT_MEG_FOL, 'subcorticals', 'dics', 'all_{}'.format(region))
stcs = []
for event in events_id.keys():
stcs.append(tf.load_stcs(event, freq_bins, data_fol, MRI_SUBJECT))
# plot_source_spectrogram(stcs[-1], freq_bins, tmin=tmin_plot, tmax=tmax_plot,
# source_index=None, colorbar=True)
stcs_diff = []
for stc1, stc2 in zip(stcs[0], stcs[1]):
stc_diff = _make_stc(stc1.data - stc2.data, vertices=stc1.vertices,
tmin=stc1.tmin, tstep=stc1.tstep, subject=stc1.subject)
stcs_diff.append(stc_diff)
plot_source_spectrogram(stcs_diff, freq_bins, tmin=tmin_plot, tmax=tmax_plot,
source_index=None, colorbar=True)