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acoused
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Sample position can be plotted without transect

dev-brahim
brahim 2023-09-12 16:41:28 +02:00
parent 5b63855bd8
commit 3a83ecd768
1 changed files with 137 additions and 100 deletions
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237
View/sample_data_tab.py
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@ -147,7 +147,7 @@ class SampleDataTab(QWidget):
self.allChkBox = QCheckBox() self.allChkBox = QCheckBox()
self.horizontalLayout_checkAll_spacer_exportTable.addWidget(self.allChkBox) self.horizontalLayout_checkAll_spacer_exportTable.addWidget(self.allChkBox)
self.horizontalSpacerItem_pushButton_export_table = QSpacerItem(240, 10, QSizePolicy.Expanding, self.horizontalSpacerItem_pushButton_export_table = QSpacerItem(340, 10, QSizePolicy.Expanding,
QSizePolicy.Minimum) QSizePolicy.Minimum)
self.horizontalLayout_checkAll_spacer_exportTable.addItem(self.horizontalSpacerItem_pushButton_export_table) self.horizontalLayout_checkAll_spacer_exportTable.addItem(self.horizontalSpacerItem_pushButton_export_table)
@ -200,7 +200,7 @@ class SampleDataTab(QWidget):
self.combobox_frequencies = QComboBox() self.combobox_frequencies = QComboBox()
self.horizontalLayout_pushbutton_combobox_transect.addWidget(self.combobox_frequencies) self.horizontalLayout_pushbutton_combobox_transect.addWidget(self.combobox_frequencies)
self.combobox_frequencies.currentTextChanged.connect(self.update_plot_sample_position_on_transect) # self.combobox_frequencies.currentTextChanged.connect(self.update_plot_sample_position_on_transect)
self.horizontalLayout_Ctot_PSD_plot = QHBoxLayout() self.horizontalLayout_Ctot_PSD_plot = QHBoxLayout()
self.verticalLayout_groupbox_display_option.addLayout(self.horizontalLayout_Ctot_PSD_plot) self.verticalLayout_groupbox_display_option.addLayout(self.horizontalLayout_Ctot_PSD_plot)
@ -468,7 +468,7 @@ class SampleDataTab(QWidget):
self.tableWidget_sample.setItem(i, stg.frac_vol_fine.shape[1] + 8 + j, QTableWidgetItem(str(stg.frac_vol_sand[i, j]))) self.tableWidget_sample.setItem(i, stg.frac_vol_fine.shape[1] + 8 + j, QTableWidgetItem(str(stg.frac_vol_sand[i, j])))
# --- Connect checkbox to all checkboxes of tableWidget --- # --- Connect checkbox to all checkboxes of tableWidget ---
# self.allChkBox.stateChanged.connect(self.check_allChkBox) self.allChkBox.stateChanged.connect(self.check_allChkBox)
# --- Connect checkbox items of tableWidget to update plots --- # --- Connect checkbox items of tableWidget to update plots ---
self.tableWidget_sample.itemChanged.connect( self.tableWidget_sample.itemChanged.connect(
@ -500,6 +500,10 @@ class SampleDataTab(QWidget):
return position, color_list return position, color_list
def check_allChkBox(self, state):
for i in range(self.tableWidget_sample.rowCount()):
self.tableWidget_sample.item(i, 1).setCheckState(state)
# --- Function to export data of table --- # --- Function to export data of table ---
def export_table(self): def export_table(self):
if self.tableWidget_sample.columnCount() > 10: if self.tableWidget_sample.columnCount() > 10:
@ -603,30 +607,58 @@ class SampleDataTab(QWidget):
def plot_sample_position_on_transect(self): def plot_sample_position_on_transect(self):
self.combobox_frequencies.addItems(stg.freq_text) if stg.BS_data.size == 0:
msgBox = QMessageBox()
msgBox.setWindowTitle("Plot transect Error")
msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Load data from acoustic data tab before plotting transect with sample position")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
self.canvas_plot_sample_position_on_transect = FigureCanvas() else:
self.figure_plot_sample_position_on_transect, self.axis_plot_sample_position_on_transect = \
plt.subplots(nrows=1, ncols=1, layout="constrained")
self.canvas_plot_sample_position_on_transect = FigureCanvas(self.figure_plot_sample_position_on_transect)
self.verticalLayout_groupbox_plot_sample_position.addWidget(self.canvas_plot_sample_position_on_transect)
val_min = np.min(stg.BS_data[:, stg.freq_bottom_detection, :]) self.combobox_frequencies.addItems(stg.freq_text)
val_max = np.max(stg.BS_data[:, stg.freq_bottom_detection, :]) self.combobox_frequencies.currentTextChanged.connect(self.update_plot_sample_position_on_transect)
if val_min == 0:
val_min = 1e-5
self.axis_plot_sample_position_on_transect.pcolormesh( self.verticalLayout_groupbox_plot_sample_position.removeWidget(self.canvas_plot_sample_position_on_transect)
stg.t, -stg.r, stg.BS_data[:, stg.freq_bottom_detection, :], self.figure_plot_sample_position_on_transect, self.axis_plot_sample_position_on_transect = \
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max)) plt.subplots(nrows=1, ncols=1, layout="constrained")
self.canvas_plot_sample_position_on_transect = FigureCanvas(self.figure_plot_sample_position_on_transect)
self.verticalLayout_groupbox_plot_sample_position.addWidget(self.canvas_plot_sample_position_on_transect)
if stg.r_bottom.size != 0: if stg.BS_data_section.size == 0:
self.axis_plot_sample_position_on_transect.plot(
stg.t, -stg.r_bottom, color='black', linewidth=1, linestyle="solid")
self.axis_plot_sample_position_on_transect.set_xticks([]) val_min = np.min(stg.BS_data[:, stg.freq_bottom_detection, :])
self.axis_plot_sample_position_on_transect.set_yticks([]) val_max = np.max(stg.BS_data[:, stg.freq_bottom_detection, :])
self.figure_plot_sample_position_on_transect.canvas.draw_idle() if val_min == 0:
val_min = 1e-5
self.axis_plot_sample_position_on_transect.pcolormesh(
stg.t, -stg.r, stg.BS_data[:, stg.freq_bottom_detection, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
if stg.r_bottom.size != 0:
self.axis_plot_sample_position_on_transect.plot(
stg.t, -stg.r_bottom, color='black', linewidth=1, linestyle="solid")
else:
val_min = np.nanmin(stg.BS_data_section[:, stg.freq_bottom_detection, :])
val_max = np.nanmax(stg.BS_data_section[:, stg.freq_bottom_detection, :])
if val_min == 0:
val_min = 1e-5
self.axis_plot_sample_position_on_transect.pcolormesh(
stg.t, -stg.r, stg.BS_data_section[:, stg.freq_bottom_detection, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
if stg.r_bottom.size != 0:
self.axis_plot_sample_position_on_transect.plot(
stg.t, -stg.r_bottom, color='black', linewidth=1, linestyle="solid")
self.axis_plot_sample_position_on_transect.set_xticks([])
self.axis_plot_sample_position_on_transect.set_yticks([])
self.figure_plot_sample_position_on_transect.canvas.draw_idle()
def update_plot_sample_position_on_transect(self): def update_plot_sample_position_on_transect(self):
@ -634,10 +666,26 @@ class SampleDataTab(QWidget):
position_list, color_list = self.extract_position_list_and_color_list_from_table_checkboxes() position_list, color_list = self.extract_position_list_and_color_list_from_table_checkboxes()
# --- Create canvas of Matplotlib figure --- # --- Create canvas of Matplotlib figure ---
if self.canvas_plot_sample_position_on_transect != None: if stg.BS_raw_data.size == 0:
val_min = np.min(stg.BS_data[:, stg.freq_bottom_detection, :]) self.verticalLayout_groupbox_plot_sample_position.removeWidget(self.canvas_plot_sample_position_on_transect)
val_max = np.max(stg.BS_data[:, stg.freq_bottom_detection, :]) self.figure_plot_sample_position_on_transect, self.axis_plot_sample_position_on_transect = \
plt.subplots(nrows=1, ncols=1, layout="constrained")
self.canvas_plot_sample_position_on_transect = FigureCanvas(self.figure_plot_sample_position_on_transect)
self.verticalLayout_groupbox_plot_sample_position.addWidget(self.canvas_plot_sample_position_on_transect)
self.axis_plot_sample_position_on_transect.scatter(stg.sample_time[position_list],
stg.sample_depth[position_list],
linestyle='None', marker="o", s=14, c=color_list)
self.axis_plot_sample_position_on_transect.set_xticks([])
self.axis_plot_sample_position_on_transect.set_yticks([])
self.figure_plot_sample_position_on_transect.canvas.draw_idle()
else: #self.canvas_plot_sample_position_on_transect != None:
val_min = np.nanmin(stg.BS_data[:, stg.freq_bottom_detection, :])
val_max = np.nanmax(stg.BS_data[:, stg.freq_bottom_detection, :])
if val_min == 0: if val_min == 0:
val_min = 1e-5 val_min = 1e-5
@ -652,39 +700,12 @@ class SampleDataTab(QWidget):
self.axis_plot_sample_position_on_transect.scatter(stg.sample_time[position_list], self.axis_plot_sample_position_on_transect.scatter(stg.sample_time[position_list],
stg.sample_depth[position_list], stg.sample_depth[position_list],
linestyle='None', marker="o", s=14, c=color_list) linestyle='None', marker="o", s=14, c=color_list)
# self.axis_transect_sample_position.scatter(granulo_data._y[position_list], granulo_data._z
# self.model._fine_sediment_file.iloc[position_list]["y"],
# np.max(self.model.r_bottom_cross_section) -
# self.model._fine_sediment_file.iloc[position_list]["z"]
# + np.min(self.model.r_bottom_cross_section),
# linestyle='None', marker="o", s=14, c=color_list)
self.axis_plot_sample_position_on_transect.set_xticks([]) self.axis_plot_sample_position_on_transect.set_xticks([])
self.axis_plot_sample_position_on_transect.set_yticks([]) self.axis_plot_sample_position_on_transect.set_yticks([])
self.figure_plot_sample_position_on_transect.canvas.draw_idle() self.figure_plot_sample_position_on_transect.canvas.draw_idle()
# self.plot_transect_bottom_with_sample_position()
# self.axis_sampleposition.pcolormesh(self.model.dist_BS_section,
# np.flipud(self.model.BS_raw_cross_section.r),
# self.model.BS_averaged_cross_section_corr.V[:, 0, :],
# cmap='viridis',
# norm=LogNorm(vmin=val_min, vmax=val_max), shading='gouraud')
# self.axis_sampleposition.plot(self.model.dist_BS_section,
# np.max(self.model.r_bottom_cross_section) - self.model.r_bottom_cross_section
# + np.min(self.model.r_bottom_cross_section),
# color='k', linewidth=2)
# marker_color = ["orange", "green"]
# for i in range(len(marker_color)):
# self.axis_sampleposition.scatter(self.model._fine_sediment_file.iloc[position_list]["y"],
# np.max(self.model.r_bottom_cross_section) - self.model._fine_sediment_file.iloc[position_list]["z"]
# + np.min(self.model.r_bottom_cross_section),
# linestyle='None', marker="o", s=14, c=color_list)
# markerfacecolor=["orange", "green"], markeredgecolor=["orange", "green"])
# self.axis_sampleposition.set_axis_off()
# self.axis_sampleposition.set_xticks([])
# self.axis_sampleposition.set_yticks([])
# self.figure_sampleposition.canvas.draw_idle()
# self.figure_sampleposition.tight_layout()
# ------------------------------------------------------------------------------------------------------------------ # ------------------------------------------------------------------------------------------------------------------
# --- Functions to plot total concentration --- # --- Functions to plot total concentration ---
@ -723,25 +744,6 @@ class SampleDataTab(QWidget):
self.axis_total_concentration.cla() self.axis_total_concentration.cla()
# --- Update total concentration plot according to choices of x-axis and y-axis combo-boxes --- # --- Update total concentration plot according to choices of x-axis and y-axis combo-boxes ---
# if self.combobox_y_axis.currentIndex() == 0:
# self.axis_total_concentration.scatter(granulo_data._Ctot_fine[position_list],
# granulo_data._z[position_list],
# s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
# self.axis_total_concentration.scatter(granulo_data._Ctot_sand[position_list],
# granulo_data._z[position_list],
# s=300, facecolors="None", edgecolors=color_list)
# self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
# self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
# elif self. combobox_y_axis.currentIndex() == 1:
# self.axis_total_concentration.scatter(granulo_data._Ctot_fine[position_list],
# granulo_data._z[position_list] / np.max(granulo_data._z[position_list]),
# s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
# self.axis_total_concentration.scatter(granulo_data._Ctot_sand[position_list],
# granulo_data._z[position_list],
# s=300, facecolors="None", edgecolors=color_list)
# self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
# self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
# self.canvas_total_concentration.draw()
if (self.combobox_x_axis.currentIndex() == 0) and (self.combobox_y_axis.currentIndex() == 0): if (self.combobox_x_axis.currentIndex() == 0) and (self.combobox_y_axis.currentIndex() == 0):
self.axis_total_concentration.scatter(stg.Ctot_fine[position_list], self.axis_total_concentration.scatter(stg.Ctot_fine[position_list],
@ -753,20 +755,36 @@ class SampleDataTab(QWidget):
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText()) self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText()) self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
elif (self.combobox_x_axis.currentIndex() == 0) and (self. combobox_y_axis.currentIndex() == 1): elif (self.combobox_x_axis.currentIndex() == 0) and (self. combobox_y_axis.currentIndex() == 1):
indices = [] if stg.r_bottom.size == 0:
for i in position_list: self.combobox_y_axis.setCurrentIndex(0)
print(i) self.axis_total_concentration.scatter(stg.Ctot_fine[position_list],
print(np.where(stg.t == stg.sample_time[i])[0][0]) stg.sample_depth[position_list],
indices.append(np.where(stg.t == stg.sample_time[i])[0][0]) s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
print("indices : ", indices) self.axis_total_concentration.scatter(stg.Ctot_sand[position_list],
self.axis_total_concentration.scatter(stg.Ctot_fine[position_list], stg.sample_depth[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]), s=300, facecolors="None", edgecolors=color_list)
s=100, facecolor=color_list, edgecolor="None", alpha=0.5) self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
self.axis_total_concentration.scatter(stg.Ctot_sand[position_list], self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]), msgBox = QMessageBox()
s=300, facecolors="None", edgecolors=color_list) msgBox.setWindowTitle("Axis choice Error")
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText()) msgBox.setIcon(QMessageBox.Warning)
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText()) msgBox.setText("To use z/h axis, please compute before the bottom detection algorithm "
"\n in acoustic data tab")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
indices = []
for i in position_list:
indices.append(np.where(stg.t == stg.sample_time[i])[0][0])
self.axis_total_concentration.scatter(stg.Ctot_fine[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]),
s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
self.axis_total_concentration.scatter(stg.Ctot_sand[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]),
s=300, facecolors="None", edgecolors=color_list)
self.axis_total_concentration.set_ylim(0, 1)
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
elif (self.combobox_x_axis.currentIndex() == 1) and (self. combobox_y_axis.currentIndex() == 0): elif (self.combobox_x_axis.currentIndex() == 1) and (self. combobox_y_axis.currentIndex() == 0):
self.axis_total_concentration.scatter(stg.Ctot_fine_per_cent[position_list], self.axis_total_concentration.scatter(stg.Ctot_fine_per_cent[position_list],
stg.sample_depth[position_list], stg.sample_depth[position_list],
@ -774,23 +792,42 @@ class SampleDataTab(QWidget):
self.axis_total_concentration.scatter(stg.Ctot_sand_per_cent[position_list], self.axis_total_concentration.scatter(stg.Ctot_sand_per_cent[position_list],
stg.sample_depth[position_list], stg.sample_depth[position_list],
s=300, facecolors="None", edgecolors=color_list) s=300, facecolors="None", edgecolors=color_list)
self.axis_total_concentration.set_xlim(0, 100)
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText()) self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText()) self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
elif (self.combobox_x_axis.currentIndex() == 1) and (self. combobox_y_axis.currentIndex() == 1): elif (self.combobox_x_axis.currentIndex() == 1) and (self. combobox_y_axis.currentIndex() == 1):
indices = [] if stg.r_bottom.size == 0:
for i in position_list: self.combobox_y_axis.setCurrentIndex(0)
print(i) self.axis_total_concentration.scatter(stg.Ctot_fine_per_cent[position_list],
print(np.where(stg.t == stg.sample_time[i])[0][0]) stg.sample_depth[position_list],
indices.append(np.where(stg.t == stg.sample_time[i])[0][0]) s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
print("indices : ", indices) self.axis_total_concentration.scatter(stg.Ctot_sand_per_cent[position_list],
self.axis_total_concentration.scatter(stg.Ctot_fine_per_cent[position_list], stg.sample_depth[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]), s=300, facecolors="None", edgecolors=color_list)
s=100, facecolor=color_list, edgecolor="None", alpha=0.5) self.axis_total_concentration.set_xlim(0, 100)
self.axis_total_concentration.scatter(stg.Ctot_sand_per_cent[position_list], self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]), self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
s=300, facecolors="None", edgecolors=color_list) msgBox = QMessageBox()
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText()) msgBox.setWindowTitle("Axis choice Error")
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText()) msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("To use z/h axis, please compute before the bottom detection algorithm "
"\n in acoustic data tab")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
indices = []
for i in position_list:
indices.append(np.where(stg.t == stg.sample_time[i])[0][0])
self.axis_total_concentration.scatter(stg.Ctot_fine_per_cent[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]),
s=100, facecolor=color_list, edgecolor="None", alpha=0.5)
self.axis_total_concentration.scatter(stg.Ctot_sand_per_cent[position_list],
-stg.sample_depth[position_list] / stg.r_bottom[indices], #np.max(stg.sample_depth[position_list]),
s=300, facecolors="None", edgecolors=color_list)
self.axis_total_concentration.set_xlim(0, 100)
self.axis_total_concentration.set_ylim(0, 1)
self.axis_total_concentration.set_xlabel(self.combobox_x_axis.currentText())
self.axis_total_concentration.set_ylabel(self.combobox_y_axis.currentText())
self.canvas_total_concentration.draw() self.canvas_total_concentration.draw()
else: else: