Inversion: Some refactoring.
parent
6256ddd1d7
commit
9260797c8f
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@ -450,17 +450,20 @@ class AcousticInversionTab(QWidget):
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logger.debug(f"{__name__}: Update")
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self.blockSignals(True)
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self.update_acoustic_data_choice()
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# TODO: Update all widgets
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self.blockSignals(False)
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def update_acoustic_data_choice(self):
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self.combobox_acoustic_data_choice.clear()
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for i in range(len(stg.filename_BS_raw_data)):
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self.combobox_acoustic_data_choice.addItem(stg.data_preprocessed[i])
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self.combobox_acoustic_data_choice.currentIndexChanged.connect(self.combobox_acoustic_data_choice_currentIndexChanged)
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self.combobox_acoustic_data_choice\
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.currentIndexChanged\
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.connect(self.combobox_acoustic_data_choice_currentIndexChanged)
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def combobox_acoustic_data_choice_currentIndexChanged(self):
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self.fill_combobox_fine_sample()
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@ -475,27 +478,28 @@ class AcousticInversionTab(QWidget):
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def function_run_inversion(self):
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if (stg.alpha_s[0] < 0) or (stg.alpha_s[1] < 0):
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msgBox = QMessageBox()
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msgBox.setWindowTitle("Alpha computation error")
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msgBox.setIconPixmap(
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QPixmap(self.path_icon + "no_approved.png").scaledToHeight(32, Qt.SmoothTransformation))
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QPixmap(
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self.path_icon + "no_approved.png"
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).scaledToHeight(32, Qt.SmoothTransformation)
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)
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msgBox.setText("Sediment sound attenuation is negative !")
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msgBox.setStandardButtons(QMessageBox.Ok)
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msgBox.exec()
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elif isinf(stg.alpha_s[0]) or isinf(stg.alpha_s[1]):
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msgBox = QMessageBox()
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msgBox.setWindowTitle("Alpha computation error")
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msgBox.setIconPixmap(
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QPixmap(self.path_icon + "no_approved.png").scaledToHeight(32, Qt.SmoothTransformation))
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QPixmap(
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self.path_icon + "no_approved.png"
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).scaledToHeight(32, Qt.SmoothTransformation)
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)
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msgBox.setText("Sediment sound attenuation is infinite !")
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msgBox.setStandardButtons(QMessageBox.Ok)
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msgBox.exec()
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else:
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self.compute_VBI()
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self.compute_SSC_fine()
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self.compute_SSC_sand()
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@ -530,343 +534,335 @@ class AcousticInversionTab(QWidget):
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)
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def compute_SSC_fine(self):
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stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()] = np.array([])
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stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()] = self.inv_hc.SSC_fine(
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zeta=stg.zeta[1],
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r2D=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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VBI=stg.VBI_cross_section[self.combobox_acoustic_data_choice.currentIndex()],
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r2D=stg.depth_2D[
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self.combobox_acoustic_data_choice.currentIndex()
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][
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stg.frequency_for_inversion[1]
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],
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VBI=stg.VBI_cross_section[
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self.combobox_acoustic_data_choice.currentIndex()
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],
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freq=stg.frequencies_for_calibration[1][0],
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X=stg.X_exponent[0],
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j_cross_section=stg.J_cross_section[self.combobox_acoustic_data_choice.currentIndex()][1],
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alpha_w=np.full(shape=stg.depth_2D[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]].shape,
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fill_value=stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]])
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j_cross_section=stg.J_cross_section[
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self.combobox_acoustic_data_choice.currentIndex()
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][1],
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alpha_w=np.full(
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shape=stg.depth_2D[
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self.combobox_acoustic_data_choice.currentIndex()
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][
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stg.frequency_for_inversion[1]
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].shape,
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fill_value=stg.water_attenuation[
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self.combobox_acoustic_data_choice.currentIndex()
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][
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stg.frequency_for_inversion[1]
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]
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)
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)
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def compute_SSC_sand(self):
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data_id = self.combobox_acoustic_data_choice.currentIndex()
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stg.SSC_sand[self.combobox_acoustic_data_choice.currentIndex()] = np.array([])
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stg.SSC_sand[data_id] = np.array([])
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stg.SSC_sand[self.combobox_acoustic_data_choice.currentIndex()] = self.inv_hc.SSC_sand(
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VBI=stg.VBI_cross_section[self.combobox_acoustic_data_choice.currentIndex()],
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stg.SSC_sand[data_id] = self.inv_hc.SSC_sand(
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VBI=stg.VBI_cross_section[data_id],
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freq=stg.frequencies_for_calibration[1][0],
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X=stg.X_exponent,
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ks=stg.ks[1])
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ks=stg.ks[1]
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)
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def plot_SSC_fine(self):
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data_id = self.combobox_acoustic_data_choice.currentIndex()
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if self.combobox_acoustic_data_choice.count() > 0:
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if self.combobox_acoustic_data_choice.count() <= 0:
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return
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if stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape == (0,):
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if stg.SSC_fine[data_id].shape == (0,):
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.canvas_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.canvas_SSC_fine)
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self.canvas_SSC_fine = FigureCanvas()
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self.toolbar_SSC_fine = NavigationToolBar(self.canvas_SSC_fine, self)
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self.canvas_SSC_fine = FigureCanvas()
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self.toolbar_SSC_fine = NavigationToolBar(self.canvas_SSC_fine, self)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.canvas_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.canvas_SSC_fine)
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elif stg.SSC_fine[data_id].shape != (0,):
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.canvas_SSC_fine)
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elif stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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self.figure_SSC_fine, self.axis_SSC_fine = plt.subplots(
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nrows=1, ncols=1, layout="constrained"
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)
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self.canvas_SSC_fine = FigureCanvas(self.figure_SSC_fine)
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self.toolbar_SSC_fine = NavigationToolBar(self.canvas_SSC_fine, self)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.removeWidget(self.canvas_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.canvas_SSC_fine)
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self.figure_SSC_fine, self.axis_SSC_fine = plt.subplots(nrows=1, ncols=1, layout="constrained")
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self.canvas_SSC_fine = FigureCanvas(self.figure_SSC_fine)
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self.toolbar_SSC_fine = NavigationToolBar(self.canvas_SSC_fine, self)
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val_min = np.nanmin(stg.SSC_fine[data_id])
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val_max = np.nanmax(stg.SSC_fine[data_id])
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.toolbar_SSC_fine)
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self.verticalLayout_groupbox_plot_SSC_fine.addWidget(self.canvas_SSC_fine)
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if stg.time_cross_section[data_id].shape != (0,):
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time_data = stg.time_cross_section
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depth_data = stg.depth_cross_section
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else:
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time_data = stg.time
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depth_data = stg.depth
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val_min = np.nanmin(stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()])
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val_max = np.nanmax(stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()])
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pcm_SSC_fine = self.axis_SSC_fine.pcolormesh(
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time_data[data_id][stg.frequency_for_inversion[1]],
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-depth_data[data_id][stg.frequency_for_inversion[1]],
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stg.SSC_fine[data_id],
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cmap='rainbow', norm=LogNorm(vmin=1e0, vmax=15),
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shading='gouraud'
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)
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if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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if stg.depth_bottom[data_id].shape != (0,):
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self.axis_SSC_fine.plot(
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time_data[data_id][stg.frequency_for_inversion[1]],
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-stg.depth_bottom[data_id],
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color='black', linewidth=1, linestyle="solid"
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)
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pcm_SSC_fine = self.axis_SSC_fine.pcolormesh(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()],
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cmap='rainbow', norm=LogNorm(vmin=1e0, vmax=15), shading='gouraud')
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self.pcm_SSC_fine_vertical_line, = self.axis_SSC_fine.plot(
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time_data[data_id][stg.frequency_for_inversion[1],
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self.slider_fine.value() - 1]
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* np.ones(
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depth_data[data_id][
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stg.frequency_for_inversion[1]
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].shape
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),
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-depth_data[data_id][stg.frequency_for_inversion[1]],
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linestyle="solid", color='r', linewidth=2
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)
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if stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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self.axis_SSC_fine.plot(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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-stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()],
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color='black', linewidth=1, linestyle="solid")
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# --- Plot samples of fine sediments ---
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time_fine_temp = deepcopy(stg.time_fine)
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depth_fine_temp = deepcopy(stg.depth_fine)
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for s in stg.fine_sample_profile:
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time_fine_temp.remove(stg.time_fine[s[1]])
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depth_fine_temp.remove(stg.depth_fine[s[1]])
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self.pcm_SSC_fine_vertical_line, = self.axis_SSC_fine.plot(
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stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1],
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self.slider_fine.value() - 1] *
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np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]].shape),
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-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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linestyle="solid", color='r', linewidth=2)
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self.pcm_SSC_fine_meas_vs_inv, = self.axis_SSC_fine.plot(
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time_fine_temp, depth_fine_temp,
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ls=" ", marker="o", ms=5, mec="k", mfc="k"
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)
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else:
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time_fine_temp = deepcopy(stg.time_fine)
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depth_fine_temp = deepcopy(stg.depth_fine)
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sample_fine_temp = deepcopy(stg.sample_fine)
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for s in stg.fine_sample_profile:
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sample_fine_temp.remove(s)
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time_fine_temp.remove(stg.time_fine[s[1]])
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depth_fine_temp.remove(stg.depth_fine[s[1]])
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for i in range(len(sample_fine_temp)):
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self.pcm_SSC_fine_meas_vs_inv_text = self.axis_SSC_fine.text(
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time_fine_temp[i],
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depth_fine_temp[i], sample_fine_temp[i][0]
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)
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pcm_SSC_fine = self.axis_SSC_fine.pcolormesh(
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stg.time[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()],
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cmap='rainbow', norm=LogNorm(vmin=1e0, vmax=15), shading='gouraud')
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time_fine_temp, depth_fine_temp = stg.time_fine, stg.depth_fine
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self.pcm_SSC_fine_meas_vs_inv_sample_calibration, = self.axis_SSC_fine.plot(
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[time_fine_temp[s[1]] for s in stg.fine_sample_profile],
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[depth_fine_temp[s[1]] for s in stg.fine_sample_profile],
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ls=" ", marker="*", ms=12, mec="r", mfc="r"
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)
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self.pcm_SSC_fine_vertical_line, = self.axis_SSC_fine.plot(
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stg.time[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1],
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self.slider_fine.value() - 1] *
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np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[
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1]].shape),
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-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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linestyle="solid", color='r', linewidth=2)
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time_fine_temp, depth_fine_temp = stg.time_fine, stg.depth_fine
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for i, j in stg.fine_sample_profile:
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self.pcm_SSC_fine_meas_vs_inv_sample_calibration_text = self.axis_SSC_fine.text(
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time_fine_temp[j]+5, depth_fine_temp[j]+0.05, i,
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color='r', fontweight='bold'
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)
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if stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
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self.axis_SSC_fine.plot(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
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stg.frequency_for_inversion[1]],
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-stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()],
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color='black', linewidth=1, linestyle="solid")
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cbar_SSC_fine = self.figure_SSC_fine.colorbar(
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pcm_SSC_fine, ax=self.axis_SSC_fine, shrink=1,
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location='right'
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)
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cbar_SSC_fine.set_label(label='Fine SSC (g/L', rotation=270, labelpad=15)
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# --- Plot samples of fine sediments ---
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time_fine_temp = deepcopy(stg.time_fine)
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depth_fine_temp = deepcopy(stg.depth_fine)
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for s in stg.fine_sample_profile:
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time_fine_temp.remove(stg.time_fine[s[1]])
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depth_fine_temp.remove(stg.depth_fine[s[1]])
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self.pcm_SSC_fine_meas_vs_inv, = self.axis_SSC_fine.plot(
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time_fine_temp, depth_fine_temp, ls=" ", marker="o", ms=5, mec="k", mfc="k")
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time_fine_temp = deepcopy(stg.time_fine)
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depth_fine_temp = deepcopy(stg.depth_fine)
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sample_fine_temp = deepcopy(stg.sample_fine)
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for s in stg.fine_sample_profile:
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sample_fine_temp.remove(s)
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time_fine_temp.remove(stg.time_fine[s[1]])
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depth_fine_temp.remove(stg.depth_fine[s[1]])
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for i in range(len(sample_fine_temp)):
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self.pcm_SSC_fine_meas_vs_inv_text = self.axis_SSC_fine.text(
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time_fine_temp[i],
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depth_fine_temp[i], sample_fine_temp[i][0])
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time_fine_temp, depth_fine_temp = stg.time_fine, stg.depth_fine
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self.pcm_SSC_fine_meas_vs_inv_sample_calibration, = self.axis_SSC_fine.plot(
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[time_fine_temp[s[1]] for s in stg.fine_sample_profile],
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[depth_fine_temp[s[1]] for s in stg.fine_sample_profile],
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ls=" ", marker="*", ms=12, mec="r", mfc="r")
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time_fine_temp, depth_fine_temp = stg.time_fine, stg.depth_fine
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for i, j in stg.fine_sample_profile:
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self.pcm_SSC_fine_meas_vs_inv_sample_calibration_text = self.axis_SSC_fine.text(
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time_fine_temp[j]+5, depth_fine_temp[j]+0.05, i, color='r', fontweight='bold')
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cbar_SSC_fine = self.figure_SSC_fine.colorbar(pcm_SSC_fine, ax=self.axis_SSC_fine, shrink=1,
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location='right')
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cbar_SSC_fine.set_label(label='Fine SSC (g/L', rotation=270, labelpad=15)
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self.figure_SSC_fine.supxlabel("Time (sec)", fontsize=10)
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self.figure_SSC_fine.supylabel("Depth (m)", fontsize=10)
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self.figure_SSC_fine.canvas.draw_idle()
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self.figure_SSC_fine.supxlabel("Time (sec)", fontsize=10)
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self.figure_SSC_fine.supylabel("Depth (m)", fontsize=10)
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self.figure_SSC_fine.canvas.draw_idle()
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def plot_SSC_fine_vertical_profile(self):
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if self.combobox_acoustic_data_choice.count() <= 0:
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return
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if self.combobox_acoustic_data_choice.count() > 0:
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data_id = self.combobox_acoustic_data_choice.currentIndex()
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if stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape == (0,):
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if stg.SSC_fine[data_id].shape == (0,):
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self.verticalLayout_groupbox_plot_vertical_profile_fine\
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.removeWidget(self.toolbar_profile_fine)
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self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
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.removeWidget(self.canvas_profile_fine)
|
||||
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.removeWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.removeWidget(self.canvas_profile_fine)
|
||||
self.canvas_profile_fine = FigureCanvas()
|
||||
self.toolbar_profile_fine = NavigationToolBar(self.canvas_profile_fine, self)
|
||||
|
||||
self.canvas_profile_fine = FigureCanvas()
|
||||
self.toolbar_profile_fine = NavigationToolBar(self.canvas_profile_fine, self)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.addWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.addWidget(self.canvas_profile_fine)
|
||||
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.addWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.addWidget(self.canvas_profile_fine)
|
||||
if stg.SSC_fine[data_id].shape != (0,):
|
||||
self.slider_fine.setMaximum(
|
||||
stg.SSC_fine[data_id].shape[1]
|
||||
)
|
||||
|
||||
if stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.removeWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.removeWidget(self.canvas_profile_fine)
|
||||
|
||||
self.slider_fine.setMaximum(stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape[1])
|
||||
fig, ax = plt.subplots(nrows=1, ncols=1, layout="constrained")
|
||||
self.figure_vertical_profile_SSC_fine = fig
|
||||
self.axis_vertical_profile_SSC_fine = ax
|
||||
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.removeWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.removeWidget(self.canvas_profile_fine)
|
||||
self.canvas_profile_fine = FigureCanvas(self.figure_vertical_profile_SSC_fine)
|
||||
self.toolbar_profile_fine = NavigationToolBar(self.canvas_profile_fine, self)
|
||||
|
||||
self.figure_vertical_profile_SSC_fine, self.axis_vertical_profile_SSC_fine = plt.subplots(
|
||||
nrows=1, ncols=1, layout="constrained")
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.addWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine\
|
||||
.addWidget(self.canvas_profile_fine)
|
||||
|
||||
self.canvas_profile_fine = FigureCanvas(self.figure_vertical_profile_SSC_fine)
|
||||
self.toolbar_profile_fine = NavigationToolBar(self.canvas_profile_fine, self)
|
||||
if stg.depth_cross_section[data_id].shape != (0,):
|
||||
time_data = stg.time_cross_section
|
||||
depth_data = stg.depth_cross_section
|
||||
else:
|
||||
time_data = stg.time
|
||||
depth_data = stg.depth
|
||||
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.addWidget(self.toolbar_profile_fine)
|
||||
self.verticalLayout_groupbox_plot_vertical_profile_fine.addWidget(self.canvas_profile_fine)
|
||||
self.plot_fine , = self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[data_id][:, self.slider_fine.value() -1],
|
||||
-depth_data[data_id][stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k"
|
||||
)
|
||||
|
||||
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
time_data[data_id][
|
||||
stg.frequency_for_inversion[1],
|
||||
self.slider_fine.value() - 1
|
||||
]
|
||||
* np.ones(
|
||||
depth_data[data_id][
|
||||
stg.frequency_for_inversion[1]
|
||||
].shape
|
||||
),
|
||||
-depth_data[data_id][
|
||||
stg.frequency_for_inversion[1]
|
||||
]
|
||||
)
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
|
||||
self.plot_fine , = self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()][:, self.slider_fine.value() -1],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k")
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[
|
||||
-np.nanmax(
|
||||
depth_data[data_id][stg.frequency_for_inversion[1]]
|
||||
),
|
||||
-np.nanmin(
|
||||
depth_data[data_id][stg.frequency_for_inversion[1]]
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1],
|
||||
self.slider_fine.value() - 1] *
|
||||
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]].shape),
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[-np.nanmax(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]]),
|
||||
-np.nanmin(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])])
|
||||
|
||||
else:
|
||||
|
||||
self.plot_fine , = self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()][:, self.slider_fine.value() -1],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k")
|
||||
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], self.slider_fine.value() - 1] *
|
||||
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]].shape),
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[-np.nanmax(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]]),
|
||||
-np.nanmin(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])])
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_xlim(0, 10)
|
||||
self.axis_vertical_profile_SSC_fine.set_xlabel("Inverted Fine SSC (g/L)")
|
||||
self.axis_vertical_profile_SSC_fine.set_ylabel("Depth (m)")
|
||||
self.figure_vertical_profile_SSC_fine.canvas.draw_idle()
|
||||
self.axis_vertical_profile_SSC_fine.set_xlim(0, 10)
|
||||
self.axis_vertical_profile_SSC_fine.set_xlabel("Inverted Fine SSC (g/L)")
|
||||
self.axis_vertical_profile_SSC_fine.set_ylabel("Depth (m)")
|
||||
self.figure_vertical_profile_SSC_fine.canvas.draw_idle()
|
||||
|
||||
def update_plot_SSC_fine_vertical_profile(self):
|
||||
if len(stg.filename_BS_noise_data) == 0:
|
||||
return
|
||||
|
||||
if stg.filename_BS_noise_data != []:
|
||||
data_id = self.combobox_acoustic_data_choice.currentIndex()
|
||||
|
||||
if stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
if stg.SSC_fine[data_id].shape == (0,):
|
||||
return
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.cla()
|
||||
self.axis_vertical_profile_SSC_fine.cla()
|
||||
|
||||
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
if stg.depth_cross_section[data_id].shape != (0,):
|
||||
time_data = stg.time_cross_section
|
||||
depth_data = stg.depth_cross_section
|
||||
else:
|
||||
time_data = stg.time
|
||||
depth_data = stg.depth
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()][:,
|
||||
self.slider_fine.value() - 1],
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k")
|
||||
self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[data_id][:, self.slider_fine.value() - 1],
|
||||
-depth_data[data_id][stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k"
|
||||
)
|
||||
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1],
|
||||
self.slider_fine.value() - 1] *
|
||||
np.ones(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]].shape),
|
||||
-stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
time_data[data_id][stg.frequency_for_inversion[1],
|
||||
self.slider_fine.value() - 1]
|
||||
* np.ones(depth_data[data_id][
|
||||
stg.frequency_for_inversion[1]
|
||||
].shape),
|
||||
-depth_data[data_id][stg.frequency_for_inversion[1]]
|
||||
)
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[-np.nanmax(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]]),
|
||||
-np.nanmin(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])])
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[
|
||||
-np.nanmax(
|
||||
depth_data[data_id][stg.frequency_for_inversion[1]]
|
||||
),
|
||||
-np.nanmin(
|
||||
depth_data[data_id][stg.frequency_for_inversion[1]]
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
else:
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.plot(
|
||||
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()][:,
|
||||
self.slider_fine.value() - 1],
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]],
|
||||
linestyle="solid", linewidth=1, color="k")
|
||||
|
||||
self.pcm_SSC_fine_vertical_line.set_data(
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], self.slider_fine.value() - 1] *
|
||||
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]].shape),
|
||||
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])
|
||||
self.figure_SSC_fine.canvas.draw_idle()
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_ylim(
|
||||
[-np.nanmax(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]]),
|
||||
-np.nanmin(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]])])
|
||||
|
||||
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
|
||||
|
||||
for f in stg.fine_sample_profile:
|
||||
|
||||
time_fine_calibration = (
|
||||
np.where(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]] - stg.time_fine[f[1]]) ==
|
||||
np.nanmin(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]] - stg.time_fine[f[1]])))[0][0]
|
||||
for f in stg.fine_sample_profile:
|
||||
time_fine_calibration = (
|
||||
np.where(
|
||||
np.abs(
|
||||
time_data[data_id][stg.frequency_for_inversion[1]]
|
||||
- stg.time_fine[f[1]]
|
||||
) == np.nanmin(
|
||||
np.abs(
|
||||
time_data[data_id][
|
||||
stg.frequency_for_inversion[1]
|
||||
]
|
||||
- stg.time_fine[f[1]]
|
||||
)
|
||||
)
|
||||
)[0][0]
|
||||
)
|
||||
|
||||
if (stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], int(self.slider_fine.value())] ==
|
||||
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], int(time_fine_calibration)]):
|
||||
if (time_data[data_id][
|
||||
stg.frequency_for_inversion[1],
|
||||
int(self.slider_fine.value())
|
||||
] == time_data[data_id][
|
||||
stg.frequency_for_inversion[1],
|
||||
int(time_fine_calibration)
|
||||
]):
|
||||
self.axis_vertical_profile_SSC_fine.scatter(
|
||||
stg.Ctot_fine[f[1]], stg.depth_fine[f[1]],
|
||||
marker='*', s=48, c='r', edgecolors='r'
|
||||
)
|
||||
self.axis_vertical_profile_SSC_fine.text(
|
||||
stg.Ctot_fine[f[1]],
|
||||
stg.depth_fine[f[1]], f[0]
|
||||
)
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.scatter(
|
||||
stg.Ctot_fine[f[1]], stg.depth_fine[f[1]],
|
||||
marker='*', s=48, c='r', edgecolors='r')
|
||||
self.axis_vertical_profile_SSC_fine.text(stg.Ctot_fine[f[1]], stg.depth_fine[f[1]], f[0])
|
||||
|
||||
else:
|
||||
|
||||
for f in stg.fine_sample_profile:
|
||||
|
||||
time_fine_calibration = (
|
||||
np.where(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]] - stg.time_fine[f[1]]) ==
|
||||
np.nanmin(np.abs(
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1]] - stg.time_fine[f[1]])))[0][0]
|
||||
)
|
||||
|
||||
if (stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], int(self.slider_fine.value())] ==
|
||||
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
|
||||
stg.frequency_for_inversion[1], int(time_fine_calibration)]):
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.scatter(
|
||||
stg.Ctot_fine[f[1]], stg.depth_fine[f[1]],
|
||||
marker='*', s=48, c='r', edgecolors='r')
|
||||
self.axis_vertical_profile_SSC_fine.text(stg.Ctot_fine[f[1]], stg.depth_fine[f[1]], f[0])
|
||||
|
||||
self.axis_vertical_profile_SSC_fine.set_xlim(0, 10)
|
||||
self.axis_vertical_profile_SSC_fine.set_xlabel("Inverted Fine SSC (g/L)")
|
||||
self.axis_vertical_profile_SSC_fine.set_ylabel("Depth (m)")
|
||||
self.figure_vertical_profile_SSC_fine.canvas.draw_idle()
|
||||
self.axis_vertical_profile_SSC_fine.set_xlim(0, 10)
|
||||
self.axis_vertical_profile_SSC_fine\
|
||||
.set_xlabel("Inverted Fine SSC (g/L)")
|
||||
self.axis_vertical_profile_SSC_fine\
|
||||
.set_ylabel("Depth (m)")
|
||||
self.figure_vertical_profile_SSC_fine.canvas.draw_idle()
|
||||
|
||||
def slider_profile_number_to_begin_fine(self):
|
||||
self.slider_fine.setValue(int(self.slider_fine.minimum()))
|
||||
|
|
|
|||
Loading…
Reference in New Issue