Signal processing: Some minor refactoring.
parent
8a39bba7b1
commit
225c40c6c1
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@ -1520,112 +1520,113 @@ class SignalProcessingTab(QWidget):
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msgBox.exec()
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else:
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data_id = self.combobox_acoustic_data_choice.currentIndex()
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kernel_avg = np.ones(2 * int(float(self.lineEdit_horizontal_average.text().replace(",", "."))) + 1)
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print(kernel_avg)
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stg.Nb_cells_to_average_BS_signal[self.combobox_acoustic_data_choice.currentIndex()] = (
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stg.Nb_cells_to_average_BS_signal[data_id] = (
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float(self.lineEdit_horizontal_average.text().replace(",", ".")))
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if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.time_cross_section[data_id].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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x_time = stg.time_cross_section[data_id]
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y_depth = stg.depth_cross_section[data_id]
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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x_time = stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
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x_time = stg.time_cross_section[data_id]
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y_depth = stg.depth[data_id]
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else:
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()]
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y_depth = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()]
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x_time = stg.time[data_id]
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y_depth = stg.depth_cross_section[data_id]
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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x_time = stg.time[self.combobox_acoustic_data_choice.currentIndex()]
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y_depth = stg.depth[self.combobox_acoustic_data_choice.currentIndex()]
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x_time = stg.time[data_id]
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y_depth = stg.depth[data_id]
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if stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_stream_bed_pre_process_average[data_id] = (deepcopy(
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stg.BS_stream_bed_pre_process_SNR[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
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stg.BS_stream_bed_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_stream_bed_pre_process_SNR[data_id][f, i, :],
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kernel_avg))
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elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_cross_section_pre_process_SNR[data_id].shape != (0,):
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_cross_section_pre_process_average[data_id] = (deepcopy(
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stg.BS_cross_section_pre_process_SNR[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
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stg.BS_cross_section_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_cross_section_pre_process_SNR[data_id][f, i, :],
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kernel_avg))
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elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_raw_data_pre_process_average[data_id] = (deepcopy(
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stg.BS_raw_data_pre_process_SNR[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
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stg.BS_raw_data_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_raw_data_pre_process_SNR[data_id][f, i, :],
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kernel_avg))
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elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_stream_bed[data_id].shape != (0,):
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_stream_bed_pre_process_average[data_id] = (deepcopy(
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stg.BS_stream_bed[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
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stg.BS_stream_bed_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_stream_bed[data_id][f, i, :], kernel_avg))
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elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_cross_section[data_id].shape != (0,):
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_cross_section_pre_process_average[data_id] = (deepcopy(
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stg.BS_cross_section[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, i, :],
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stg.BS_cross_section_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_cross_section[data_id][f, i, :],
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kernel_avg))
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elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_raw_data[data_id].shape != (0,):
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()] = (deepcopy(
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stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()]))
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stg.BS_raw_data_pre_process_average[data_id] = (deepcopy(
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stg.BS_raw_data[data_id]))
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for f, _ in enumerate(stg.freq[self.combobox_acoustic_data_choice.currentIndex()]):
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for f, _ in enumerate(stg.freq[data_id]):
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for i in range(y_depth.shape[1]):
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][f, i, :] = (
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convolve(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][f, i, :], kernel_avg))
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stg.BS_raw_data_pre_process_average[data_id][f, i, :] = (
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convolve(stg.BS_raw_data[data_id][f, i, :], kernel_avg))
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self.plot_pre_processed_BS_signal()
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self.update_plot_pre_processed_profile()
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@trace
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def plot_pre_processed_profile(self, *args):
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data_id = self.combobox_acoustic_data_choice.currentIndex()
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if ((self.combobox_acoustic_data_choice.currentIndex() != -1) and
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(stg.BS_noise_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,))):
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if ((data_id != -1) and
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(stg.BS_noise_raw_data[data_id].shape != (0,))):
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self.verticalLayout_groupbox_plot_profile.removeWidget(self.toolbar_profile)
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self.verticalLayout_groupbox_plot_profile.removeWidget(self.canvas_profile)
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@ -1639,188 +1640,188 @@ class SignalProcessingTab(QWidget):
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# --- PLot profile ---
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if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.BS_stream_bed_pre_process_average[data_id].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_stream_bed_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth_cross_section[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_stream_bed_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.BS_cross_section_pre_process_average[self.combobox_frequency_profile.currentIndex()].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_cross_section_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth_cross_section[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_cross_section_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_raw_data_pre_process_average[data_id].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_raw_data_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth_cross_section[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_raw_data_pre_process_average[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_stream_bed_pre_process_SNR[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth_cross_section[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_stream_bed_pre_process_SNR[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.BS_cross_section_pre_process_SNR[self.combobox_frequency_profile.currentIndex()].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_cross_section_pre_process_SNR[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth_cross_section[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.depth[data_id].shape != (0,):
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self.axis_profile.plot(
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stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()][
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stg.BS_cross_section_pre_process_SNR[data_id][
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self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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-stg.depth[data_id][
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self.combobox_frequency_profile.currentIndex(), :],
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linestyle='solid', color='k', linewidth=1)
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elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
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if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_cross_section[data_id].shape != (0,):
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self.axis_profile.plot(
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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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
linestyle='solid', color='k', linewidth=1)
|
||||
|
||||
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()],
|
||||
fontsize=10, fontweight='bold', fontname="DejaVu Sans",
|
||||
fontstyle="normal", c="black", alpha=0.2,
|
||||
|
|
@ -1849,196 +1850,197 @@ class SignalProcessingTab(QWidget):
|
|||
self.slider.setMaximum(10)
|
||||
|
||||
def update_plot_pre_processed_profile(self):
|
||||
data_id = self.combobox_acoustic_data_choice.currentIndex()
|
||||
|
||||
if ((self.combobox_acoustic_data_choice.currentIndex() != -1) and
|
||||
(stg.BS_noise_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,))):
|
||||
if ((data_id != -1) and
|
||||
(stg.BS_noise_raw_data[data_id].shape != (0,))):
|
||||
|
||||
self.axis_profile.cla()
|
||||
|
||||
# --- 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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth_cross_section[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
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(
|
||||
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],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :],
|
||||
linestyle='solid', color='k', linewidth=1)
|
||||
|
||||
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()],
|
||||
fontsize=10, fontweight='bold', fontname="DejaVu Sans",
|
||||
fontstyle="normal", c="black", alpha=0.2,
|
||||
|
|
@ -2051,44 +2053,44 @@ class SignalProcessingTab(QWidget):
|
|||
self.figure_profile.canvas.draw_idle()
|
||||
|
||||
# --- 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(
|
||||
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] *
|
||||
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
np.ones(stg.depth_cross_section[data_id].shape[1]),
|
||||
-stg.depth_cross_section[data_id][
|
||||
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(
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.time[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] *
|
||||
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
np.ones(stg.depth_cross_section[data_id].shape[1]),
|
||||
-stg.depth_cross_section[data_id][
|
||||
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(
|
||||
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] *
|
||||
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
np.ones(stg.depth[data_id].shape[1]),
|
||||
-stg.depth[data_id][
|
||||
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(
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.time[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), self.slider.value() - 1] *
|
||||
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
np.ones(stg.depth[data_id].shape[1]),
|
||||
-stg.depth[data_id][
|
||||
self.combobox_frequency_profile.currentIndex(), :])
|
||||
|
||||
self.fig_BS.canvas.draw_idle()
|
||||
|
|
|
|||
Loading…
Reference in New Issue