Signal processing: Some minor refactoring.

dev-brahim
Pierre-Antoine 2025-03-19 16:12:55 +01:00
parent 8a39bba7b1
commit 225c40c6c1
1 changed files with 201 additions and 199 deletions

View File

@ -1520,112 +1520,113 @@ class SignalProcessingTab(QWidget):
msgBox.exec() msgBox.exec()
else: else:
data_id = self.combobox_acoustic_data_choice.currentIndex()
kernel_avg = np.ones(2 * int(float(self.lineEdit_horizontal_average.text().replace(",", "."))) + 1) kernel_avg = np.ones(2 * int(float(self.lineEdit_horizontal_average.text().replace(",", "."))) + 1)
print(kernel_avg) print(kernel_avg)
stg.Nb_cells_to_average_BS_signal[self.combobox_acoustic_data_choice.currentIndex()] = ( stg.Nb_cells_to_average_BS_signal[data_id] = (
float(self.lineEdit_horizontal_average.text().replace(",", "."))) float(self.lineEdit_horizontal_average.text().replace(",", ".")))
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()] x_time = stg.time_cross_section[data_id]
y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()] y_depth = stg.depth_cross_section[data_id]
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()] x_time = stg.time_cross_section[data_id]
y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()] y_depth = stg.depth[data_id]
else: else:
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()] x_time = stg.time[data_id]
y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()] y_depth = stg.depth_cross_section[data_id]
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()] x_time = stg.time[data_id]
y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()] y_depth = stg.depth[data_id]
if stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_stream_bed_pre_process_average[data_id] = (deepcopy(
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_stream_bed_pre_process_SNR[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_stream_bed_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], convolve(stg.BS_stream_bed_pre_process_SNR[data_id][f, i, :],
kernel_avg)) kernel_avg))
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_SNR[data_id].shape != (0,):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_cross_section_pre_process_average[data_id] = (deepcopy(
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_cross_section_pre_process_SNR[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_cross_section_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], convolve(stg.BS_cross_section_pre_process_SNR[data_id][f, i, :],
kernel_avg)) kernel_avg))
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_raw_data_pre_process_average[data_id] = (deepcopy(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_raw_data_pre_process_SNR[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_raw_data_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], convolve(stg.BS_raw_data_pre_process_SNR[data_id][f, i, :],
kernel_avg)) kernel_avg))
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_stream_bed[data_id].shape != (0,):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_stream_bed_pre_process_average[data_id] = (deepcopy(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_stream_bed[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_stream_bed_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg)) convolve(stg.BS_stream_bed[data_id][f, i, :], kernel_avg))
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section[data_id].shape != (0,):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_cross_section_pre_process_average[data_id] = (deepcopy(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_cross_section[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_cross_section_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], convolve(stg.BS_cross_section[data_id][f, i, :],
kernel_avg)) kernel_avg))
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data[data_id].shape != (0,):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy( stg.BS_raw_data_pre_process_average[data_id] = (deepcopy(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()])) stg.BS_raw_data[data_id]))
for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]): for f, _ in enumerate(stg.freq[data_id]):
for i in range(y_depth.shape[1]): for i in range(y_depth.shape[1]):
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = ( stg.BS_raw_data_pre_process_average[data_id][f, i, :] = (
convolve(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg)) convolve(stg.BS_raw_data[data_id][f, i, :], kernel_avg))
self.plot_pre_processed_BS_signal() self.plot_pre_processed_BS_signal()
self.update_plot_pre_processed_profile() self.update_plot_pre_processed_profile()
@trace @trace
def plot_pre_processed_profile(self, *args): def plot_pre_processed_profile(self, *args):
data_id = self.combobox_acoustic_data_choice.currentIndex()
if ((self.combobox_acoustic_data_choice.currentIndex() != -1) and if ((data_id != -1) and
(stg.BS_noise_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,))): (stg.BS_noise_raw_data[data_id].shape != (0,))):
self.verticalLayout_groupbox_plot_profile.removeWidget(self.toolbar_profile) self.verticalLayout_groupbox_plot_profile.removeWidget(self.toolbar_profile)
self.verticalLayout_groupbox_plot_profile.removeWidget(self.canvas_profile) self.verticalLayout_groupbox_plot_profile.removeWidget(self.canvas_profile)
@ -1639,188 +1640,188 @@ class SignalProcessingTab(QWidget):
# --- PLot profile --- # --- PLot profile ---
if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.BS_stream_bed_pre_process_average[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section_pre_process_average[self.combobox_frequency_profile.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_average[self.combobox_frequency_profile.currentIndex()].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data_pre_process_average[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section_pre_process_SNR[self.combobox_frequency_profile.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_SNR[self.combobox_frequency_profile.currentIndex()].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_stream_bed[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
self.axis_profile.text( self.axis_profile.text(
.95, .05, stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][ .95, .05, stg.freq_text[data_id][
self.combobox_frequency_profile.currentIndex()], self.combobox_frequency_profile.currentIndex()],
fontsize=10, fontweight='bold', fontname="DejaVu Sans", fontsize=10, fontweight='bold', fontname="DejaVu Sans",
fontstyle="normal", c="black", alpha=0.2, fontstyle="normal", c="black", alpha=0.2,
@ -1849,196 +1850,197 @@ class SignalProcessingTab(QWidget):
self.slider.setMaximum(10) self.slider.setMaximum(10)
def update_plot_pre_processed_profile(self): def update_plot_pre_processed_profile(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
if ((self.combobox_acoustic_data_choice.currentIndex() != -1) and if ((data_id != -1) and
(stg.BS_noise_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,))): (stg.BS_noise_raw_data[data_id].shape != (0,))):
self.axis_profile.cla() self.axis_profile.cla()
# --- PLot profile --- # --- PLot profile ---
if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.BS_stream_bed_pre_process_average[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_average[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data_pre_process_average[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_average[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section_pre_process_SNR[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_stream_bed[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_stream_bed[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.BS_raw_data[data_id].shape != (0,):
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
self.axis_profile.plot( self.axis_profile.plot(
stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][ stg.BS_raw_data[data_id][
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1], self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :], self.combobox_frequency_profile.currentIndex(), :],
linestyle='solid', color='k', linewidth=1) linestyle='solid', color='k', linewidth=1)
self.axis_profile.text( self.axis_profile.text(
.95, .05, stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][ .95, .05, stg.freq_text[data_id][
self.combobox_frequency_profile.currentIndex()], self.combobox_frequency_profile.currentIndex()],
fontsize=10, fontweight='bold', fontname="DejaVu Sans", fontsize=10, fontweight='bold', fontname="DejaVu Sans",
fontstyle="normal", c="black", alpha=0.2, fontstyle="normal", c="black", alpha=0.2,
@ -2051,44 +2053,44 @@ class SignalProcessingTab(QWidget):
self.figure_profile.canvas.draw_idle() self.figure_profile.canvas.draw_idle()
# --- Update red line position on transect --- # --- Update red line position on transect ---
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.depth_cross_section[data_id].shape != (0,):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.time_cross_section[data_id].shape != (0,):
self.red_line_return.set_data( self.red_line_return.set_data(
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.time_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), self.slider.value()-1] * self.combobox_frequency_profile.currentIndex(), self.slider.value()-1] *
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1]), np.ones(stg.depth_cross_section[data_id].shape[1]),
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :]) self.combobox_frequency_profile.currentIndex(), :])
elif stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.time[data_id].shape != (0,):
self.red_line_return.set_data( self.red_line_return.set_data(
stg.time[self.combobox_acoustic_data_choice.currentIndex()][ stg.time[data_id][
self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] * self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] *
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1]), np.ones(stg.depth_cross_section[data_id].shape[1]),
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), :]) self.combobox_frequency_profile.currentIndex(), :])
elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.depth[data_id].shape != (0,):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): if stg.time_cross_section[data_id].shape != (0,):
self.red_line_return.set_data( self.red_line_return.set_data(
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][ stg.time_cross_section[data_id][
self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] * self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] *
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]), np.ones(stg.depth[data_id].shape[1]),
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :]) self.combobox_frequency_profile.currentIndex(), :])
elif stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,): elif stg.time[data_id].shape != (0,):
self.red_line_return.set_data( self.red_line_return.set_data(
stg.time[self.combobox_acoustic_data_choice.currentIndex()][ stg.time[data_id][
self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] * self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] *
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]), np.ones(stg.depth[data_id].shape[1]),
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][ -stg.depth[data_id][
self.combobox_frequency_profile.currentIndex(), :]) self.combobox_frequency_profile.currentIndex(), :])
self.fig_BS.canvas.draw_idle() self.fig_BS.canvas.draw_idle()