def save(experiment, data, window):
""" Saves averages or channels to csv from selected item from all subjects
"""
try:
selected_name = data['outputs']['evoked'][0]
except IndexError as exc:
return
# validate times
time_arrays = []
for subject in experiment.subjects.values():
evoked = subject.evoked.get(selected_name)
if not evoked:
continue
for mne_evoked in evoked.content.values():
time_arrays.append(mne_evoked.times)
assert_arrays_same(time_arrays)
def handler(selected_option):
try:
if selected_option == 'channel_averages':
save_channel_averages(experiment, selected_name)
else:
save_all_channels(experiment, selected_name)
except Exception as exc:
exc_messagebox(window, exc)
dialog = OutputOptions(window, handler=handler)
dialog.show()
def run(self):
try:
selected_name = self.data['outputs']['spectrum'][0]
except IndexError as exc:
return
# validate freqs
freq_arrays = []
for subject in self.experiment.subjects.values():
spectrum = subject.spectrum.get(selected_name)
if not spectrum:
continue
freq_arrays.append(spectrum.freqs)
assert_arrays_same(freq_arrays, 'Freqs do not match')
def option_handler(selected_option):
params = {
'name': selected_name,
'output_option': selected_option,
'channel_groups': self.experiment.channel_groups
}
try:
self.handler(self.experiment.active_subject, params)
except Exception as exc:
exc_messagebox(self.window, exc)
dialog = OutputOptions(self.window, handler=option_handler)
dialog.show()
def run(self):
try:
selected_name = self.data['outputs']['evoked'][0]
except IndexError as exc:
return
# validate times
time_arrays = []
for subject in self.experiment.subjects.values():
evoked = subject.evoked.get(selected_name)
if not evoked:
continue
for mne_evoked in evoked.content.values():
time_arrays.append(mne_evoked.times)
assert_arrays_same(time_arrays, 'Times do not match')
def option_handler(selected_option):
params = {
'name': selected_name,
'output_option': selected_option,
'channel_groups': self.experiment.channel_groups
}
try:
self.handler(self.experiment.active_subject, params)
except Exception as exc:
exc_messagebox(self.window, exc)
dialog = OutputOptions(self.window, handler=option_handler)
dialog.show()
def save(experiment, data, window):
""" Saves all channels or averages to csv from selected item from all
subjects
"""
try:
selected_name = data['outputs']['spectrum'][0]
except IndexError as exc:
return
# validate freqs
freq_arrays = []
for subject in experiment.subjects.values():
spectrum = subject.spectrum.get(selected_name)
if not spectrum:
continue
freq_arrays.append(spectrum.freqs)
assert_arrays_same(freq_arrays, 'Freqs do not match')
def handler(selected_option):
try:
if selected_option == 'channel_averages':
save_channel_averages(experiment, selected_name)
else:
save_all_channels(experiment, selected_name)
except Exception as exc:
exc_messagebox(window, exc)
dialog = OutputOptions(window, handler=handler)
dialog.show()
def run(self):
try:
selected_name = self.data['outputs']['evoked'][0]
except IndexError as exc:
return
def option_handler(selected_option):
params = {'name': selected_name,
'output_option': selected_option,
'channel_groups': self.experiment.channel_groups}
try:
self.handler(self.experiment.active_subject, params)
except Exception as exc:
exc_messagebox(self.window, exc)
dialog = OutputOptions(self.window, handler=option_handler)
dialog.show()
def plot_spectrum(experiment, data, window):
""" Plots spectrum topography or averages of selected item
"""
try:
selected_name = data['outputs']['spectrum'][0]
except IndexError as exc:
return
def handler(selected_option):
try:
if selected_option == 'channel_averages':
plot_spectrum_averages(experiment, selected_name)
else:
plot_spectrum_topo(experiment, selected_name)
except Exception as exc:
exc_messagebox(window, exc)
dialog = OutputOptions(window, handler=handler)
dialog.show()
def plot_evoked(experiment, data, window):
""" Plots topo or averages of selected item
"""
try:
selected_name = data['outputs']['evoked'][0]
except IndexError as exc:
return
subject = experiment.active_subject
evoked = subject.evoked.get(selected_name)
def handler(selected_option):
try:
if selected_option == 'channel_averages':
_plot_evoked_averages(experiment, evoked)
else:
_plot_evoked_topo(experiment, evoked)
except Exception as exc:
exc_messagebox(window, exc)
dialog = OutputOptions(window, handler=handler)
dialog.show()