# ica_data[epochs_idx,channels_idx] /= ica_data[epochs_idx].sum()
ica_data_reshape = ica_data.reshape(
(ica_data.shape[0], ica_data.shape[1] * ica_data.shape[2]))
#------------------------------------------------------------------------------
#Checking ICA through plot
method = 'fastica'
random_state = 42
ica = ICA(n_components=13, method=method, random_state=random_state)
ica.fit(epochs)
ica.plot_components()
ica.plot_properties(epochs, picks=0)
ica.plot_overlay(evoked, title='Plot Overlay', show=True)
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
from PIL import Image
import os.path, sys
#zero-produceERP-Image
steps = np.arange(9.5, 20.5, 0.001)
for step in steps:
evoked_zero.plot_topomap(times=step,
show=False,
colorbar=False,
time_unit='s')
