def onSelectionChanged_table(self):
"""
Update highlighted channels in Channel Manager when different channels are selected
"""
# Remove current plot
for x in range(0, len(self.channels_to_show_idx)):
self.main_plot_handler.removeItem(self.curve_eeg[x])
# Which channels should I plot?
self.channels_to_show_idx = []
self.channels_to_hide_idx = []
idx = 0
for y in range(0, 4):
for x in range(0, NUM_X_CHANNELS):
if (idx < self.config['eeg_channels']):
if (QTableWidgetItem.isSelected( # Qt5
self.ui.table_channels.item(x, y))):
self.channels_to_show_idx.append(idx)
else:
self.channels_to_hide_idx.append(idx)
idx += 1
# Add new plots
self.curve_eeg = []
for x in range(0, len(self.channels_to_show_idx)):
self.curve_eeg.append(
self.main_plot_handler.plot(
x=self.x_ticks,
y=self.data_plot[:, self.channels_to_show_idx[x]],
pen=self.colors[self.channels_to_show_idx[x] %
NUM_X_CHANNELS, :]))
self.curve_eeg[-1].setDownsampling(ds=self.subsampling_value,
auto=False,
method="mean")
# Update CAR so it's computed based only on the shown channels
if (len(self.channels_to_show_idx) > 1):
self.matrix_car = np.zeros(
(self.config['eeg_channels'], self.config['eeg_channels']),
dtype=float)
self.matrix_car[:, :] = -1 / float(len(self.channels_to_show_idx))
np.fill_diagonal(self.matrix_car,
1 - (1 / float(len(self.channels_to_show_idx))))
for x in range(0, len(self.channels_to_hide_idx)):
self.matrix_car[self.channels_to_hide_idx[x], :] = 0
self.matrix_car[:, self.channels_to_hide_idx[x]] = 0
# Refresh the plot
self.update_plot_scale(self.scale)
