parouby
/
acoused
mirror of https://forgemia.inra.fr/theophile.terraz/acoused
1
0
Fork 0
Code Issues Packages Projects Releases Activity
acoused/View/sediment_calibration_tab.py

2773 lines
121 KiB
Python
Raw Blame History

# ============================================================================== #
# acoustic_data_tab.py - AcouSed #
# Copyright (C) 2024 INRAE #
# #
# This program is free software: you can redistribute it and/or modify #
# it under the terms of the GNU General Public License as published by #
# the Free Software Foundation, either version 3 of the License, or #
# (at your option) any later version. #
# #
# This program is distributed in the hope that it will be useful, #
# but WITHOUT ANY WARRANTY; without even the implied warranty of #
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
# GNU General Public License for more details. #
# #
# You should have received a copy of the GNU General Public License #
# along with this program. If not, see <https://www.gnu.org/licenses/>. #
# by Brahim MOUDJED #
# ============================================================================== #
# -*- coding: utf-8 -*-
import os
import logging
from scipy.stats import linregress
import numpy as np
import pandas as pd
from math import isinf
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolBar
from PyQt5.QtWidgets import (
QWidget, QVBoxLayout, QHBoxLayout, QGroupBox, QComboBox,
QGridLayout, QLabel, QPushButton, QSlider, QLineEdit,
QFileDialog, QMessageBox, QFrame
)
from PyQt5.QtCore import Qt, QPropertyAnimation, QSize
from PyQt5.QtGui import QIcon, QPixmap, QFont
import settings as stg
from View.checkable_combobox import CheckableComboBox
from Model.acoustic_inversion_method_high_concentration import AcousticInversionMethodHighConcentration
from tools import trace
logger = logging.getLogger("acoused")
class SedimentCalibrationTab(QWidget):
''' This class generates the Sediment Calibration Tab '''
def __init__(self, widget_tab):
super().__init__()
self._widget_tab = widget_tab
self.inv_hc = AcousticInversionMethodHighConcentration()
self._setup_icons()
self._setup_widgets()
def _path_icon(self, icon):
return os.path.join("icons", icon)
def _setup_icons(self):
self.icon_folder = QIcon(self._path_icon("folder.png"))
self.icon_triangle_left = QIcon(self._path_icon("triangle_left.png"))
self.icon_triangle_left_to_begin = QIcon(
self._path_icon("triangle_left_to_begin.png")
)
self.icon_triangle_right = QIcon(
self._path_icon("triangle_right.png")
)
self.icon_triangle_right_to_end = QIcon(
self._path_icon("triangle_right_to_end.png")
)
self.icon_update = QIcon(self._path_icon("update.png"))
self.icon_approved = QIcon(self._path_icon("approved.png"))
self.icon_no_approved = QIcon(self._path_icon("no_approved.png"))
def _setup_widgets(self):
self.verticalLayoutMain = QVBoxLayout(self._widget_tab)
# 1O units is 100% , 1 units is 10%
self.horizontalLayoutTop = QHBoxLayout()
self.verticalLayoutMain.addLayout(self.horizontalLayoutTop, 5) # 1O units is 100% , 1 units is 10%
self.horizontalLayoutBottom = QHBoxLayout()
self.verticalLayoutMain.addLayout(self.horizontalLayoutBottom, 5)
# --------------------------------------------------------------------------------------------------------------
self.groupbox_acoustic_data = QGroupBox()
self.horizontalLayoutTop.addWidget(self.groupbox_acoustic_data, 6)
self.groupbox_Mfine_profile = QGroupBox()
self.horizontalLayoutTop.addWidget(self.groupbox_Mfine_profile, 4)
self._setup_widgets_acoustic_data()
self._setup_widgets_concentration()
self._setup_widgets_calibration()
self._setup_widgets_fcb()
self._setup_connections()
def _setup_widgets_acoustic_data(self):
self.groupbox_acoustic_data.setTitle(
"Step 1 : acoustic and sample data choice"
)
self.horizontalLayout_groupbox_acoustic_data = QHBoxLayout(self.groupbox_acoustic_data)
self.groupbox_data_choice = QGroupBox()
self.horizontalLayout_groupbox_acoustic_data.addWidget(self.groupbox_data_choice, 3)
self.groupbox_data_plot = QGroupBox()
self.horizontalLayout_groupbox_acoustic_data.addWidget(self.groupbox_data_plot, 7)
# --- Groupbox data choice ---
self.verticalLayout_groupbox_data_choice = QVBoxLayout(self.groupbox_data_choice)
self._setup_widgets_acoustic_data_1()
self._setup_widgets_acoustic_data_2()
self._setup_widgets_acoustic_data_3()
self._setup_widgets_acoustic_data_plot()
def _setup_widgets_acoustic_data_1(self):
self.groupbox_acoustic_recording = QGroupBox()
self.groupbox_acoustic_recording.setTitle("➊")
self.verticalLayout_groupbox_data_choice.addWidget(
self.groupbox_acoustic_recording
)
self.gridLayout_groupbox_acoustic_recording = QGridLayout(
self.groupbox_acoustic_recording
)
self.pushbutton_update_acoustic_file = QPushButton()
self.pushbutton_update_acoustic_file.setIcon(self.icon_update)
self.gridLayout_groupbox_acoustic_recording.addWidget(
self.pushbutton_update_acoustic_file, 0, 0, 1, 2
)
self.label_acoustic_data_choice = QLabel()
self.label_acoustic_data_choice.setText("Acoustic data")
self.gridLayout_groupbox_acoustic_recording.addWidget(
self.label_acoustic_data_choice, 1, 0, 1, 1
)
self.combobox_acoustic_data_choice = QComboBox()
self.gridLayout_groupbox_acoustic_recording.addWidget(
self.combobox_acoustic_data_choice, 1, 1, 1, 1
)
def _setup_widgets_acoustic_data_2(self):
self.groupbox_frequency = QGroupBox()
self.groupbox_frequency.setTitle("➋")
self.verticalLayout_groupbox_data_choice.addWidget(
self.groupbox_frequency
)
self.gridLayout_groupbox_frequency = QGridLayout(
self.groupbox_frequency
)
self.label_freq1_choice = QLabel()
self.label_freq1_choice.setText("Frequency 1")
self.gridLayout_groupbox_frequency.addWidget(
self.label_freq1_choice, 0, 0, 1, 1
)
self.combobox_freq1 = QComboBox()
self.gridLayout_groupbox_frequency.addWidget(
self.combobox_freq1, 0, 1, 1, 1
)
self.label_freq2_choice = QLabel()
self.label_freq2_choice.setText("Frequency 2")
self.gridLayout_groupbox_frequency.addWidget(
self.label_freq2_choice, 1, 0, 1, 1
)
self.combobox_freq2 = QComboBox()
self.gridLayout_groupbox_frequency.addWidget(
self.combobox_freq2, 1, 1, 1, 1
)
def _setup_widgets_acoustic_data_3(self):
self.groupbox_sample = QGroupBox()
self.groupbox_sample.setTitle("➌")
self.verticalLayout_groupbox_data_choice.addWidget(
self.groupbox_sample
)
self.gridLayout_groupbox_sample = QGridLayout(
self.groupbox_sample
)
self.label_fine_profile = QLabel()
self.label_fine_profile.setText("Fine profile")
self.gridLayout_groupbox_sample.addWidget(
self.label_fine_profile, 0, 0, 1, 1
)
self.combobox_fine_sample_choice = CheckableComboBox()
self.gridLayout_groupbox_sample.addWidget(
self.combobox_fine_sample_choice, 0, 1, 1, 1
)
self.label_sand_target = QLabel()
self.label_sand_target.setText("Sand target")
self.gridLayout_groupbox_sample.addWidget(
self.label_sand_target, 1, 0, 1, 1
)
self.combobox_sand_sample_choice = QComboBox()
self.gridLayout_groupbox_sample.addWidget(
self.combobox_sand_sample_choice, 1, 1, 1, 1
)
self.pushbutton_plot_sample = QPushButton()
self.pushbutton_plot_sample.setText("Plot sample")
self.gridLayout_groupbox_sample.addWidget(
self.pushbutton_plot_sample, 2, 0, 1, 2
)
def _setup_widgets_acoustic_data_plot(self):
self.verticalLayout_groupbox_data_plot = QVBoxLayout(
self.groupbox_data_plot
)
self.canvas_BS = FigureCanvas()
self.toolbar_BS = NavigationToolBar(self.canvas_BS, self)
# self.verticalLayout_groupbox_acoustic_data.addWidget(self.canvas_BS)
self.verticalLayout_groupbox_data_plot.addWidget(self.toolbar_BS)
self.verticalLayout_groupbox_data_plot.addWidget(self.canvas_BS)
def _setup_widgets_concentration(self):
self.groupbox_Mfine_profile.setTitle(
"Step 2 : profile of the fine sediment concentration"
)
self.horizontalLayout_groupbox_Mfine_profile = QHBoxLayout(
self.groupbox_Mfine_profile
)
self.groupbox_interpolate_info = QGroupBox()
self.horizontalLayout_groupbox_Mfine_profile.addWidget(
self.groupbox_interpolate_info, 4
)
self.groupbox_interpolate_plot = QGroupBox()
self.horizontalLayout_groupbox_Mfine_profile.addWidget(
self.groupbox_interpolate_plot, 6
)
self._setup_widgets_concentration_interpolate()
self._setup_widgets_concentration_interpolate_plot()
def _setup_widgets_concentration_interpolate(self):
self.gridLayout_groupbox_interpolate_info = QGridLayout(
self.groupbox_interpolate_info
)
self.pushbutton_interpolate_Mfine_profile = QPushButton()
self.pushbutton_interpolate_Mfine_profile.setText("Interpolate")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.pushbutton_interpolate_Mfine_profile, 0, 0, 1, 4,
Qt.AlignCenter
)
self.label_sample_fine = QLabel()
self.label_sample_fine.setText("Sample")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_sample_fine, 1, 0, 1, 1, Qt.AlignCenter
)
self.label_depth_fine = QLabel()
self.label_depth_fine.setText("Depth (m)")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_depth_fine, 1, 1, 1, 1, Qt.AlignCenter
)
self.label_time_fine = QLabel()
self.label_time_fine.setText("time")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_time_fine, 1, 2, 1, 1, Qt.AlignCenter
)
self.label_concentration_fine = QLabel()
self.label_concentration_fine.setText("Cfine (g/L)")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_concentration_fine, 1, 3, 1, 1, Qt.AlignCenter
)
self.double_horizontal_line = QFrame()
self.double_horizontal_line.setFrameShape(QFrame.HLine)
self.double_horizontal_line.setFrameShadow(QFrame.Sunken)
self.double_horizontal_line.setLineWidth(1)
self.double_horizontal_line.setMidLineWidth(3)
self.gridLayout_groupbox_interpolate_info.addWidget(
self.double_horizontal_line, 4, 0, 1, 4, Qt.AlignCenter
)
self.label_sample_sand = QLabel()
self.label_sample_sand.setText("Sample")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_sample_sand, 5, 0, 1, 1, Qt.AlignCenter
)
self.label_depth_sand = QLabel()
self.label_depth_sand.setText("Depth (m)")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_depth_sand, 5, 1, 1, 1, Qt.AlignCenter
)
self.label_time_sand = QLabel()
self.label_time_sand.setText("time")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_time_sand, 5, 2, 1, 1, Qt.AlignCenter
)
self.label_concentration_sand = QLabel()
self.label_concentration_sand.setText("Csand (g/L)")
self.gridLayout_groupbox_interpolate_info.addWidget(
self.label_concentration_sand, 5, 3, 1, 1, Qt.AlignCenter
)
def _setup_widgets_concentration_interpolate_plot(self):
self.verticalLayout_groupbox_interpolate_plot = QVBoxLayout(
self.groupbox_interpolate_plot
)
self.canvas_Mfine = FigureCanvas()
self.toolbar_Mfine = NavigationToolBar(self.canvas_Mfine, self)
self.verticalLayout_groupbox_interpolate_plot\
.addWidget(self.toolbar_Mfine)
self.verticalLayout_groupbox_interpolate_plot\
.addWidget(self.canvas_Mfine)
def _setup_widgets_calibration(self):
self.groupbox_sediment_calibration = QGroupBox()
self.horizontalLayoutBottom.addWidget(self.groupbox_sediment_calibration, 4)
self.groupbox_FCB = QGroupBox()
self.horizontalLayoutBottom.addWidget(self.groupbox_FCB, 6)
# +++++++++++++++++++++++++++++++++++++
# +++ Groupbox sediment calibration +++
self.groupbox_sediment_calibration.setTitle("Step 3 : Compute Calibration")
self.verticalLayout_groupbox_sediment_calibration = QVBoxLayout(self.groupbox_sediment_calibration)
self.horizontalLayout_groupboxes_Import_Compute_Calibration = QHBoxLayout()
self.verticalLayout_groupbox_sediment_calibration.addLayout(self.horizontalLayout_groupboxes_Import_Compute_Calibration)
self._setup_widgets_calibration_import_file()
self._setup_widgets_calibration_compute()
self._setup_widgets_calibration_parameters()
def _setup_widgets_calibration_import_file(self):
self.groupbox_sediment_calibration_import = QGroupBox()
self.groupbox_sediment_calibration_import.setTitle(
"Import sediment calibration file"
)
self.groupbox_sediment_calibration_import.setCheckable(True)
self.groupbox_sediment_calibration_import.setChecked(True)
self.horizontalLayout_groupboxes_Import_Compute_Calibration.addWidget(
self.groupbox_sediment_calibration_import
)
self.gridLayout_groupbox_sediment_calibration_import = QGridLayout(
self.groupbox_sediment_calibration_import
)
self.pushbutton_import_calibration = QPushButton()
self.pushbutton_import_calibration.setText('Import calibration')
self.gridLayout_groupbox_sediment_calibration_import.addWidget(
self.pushbutton_import_calibration, 0, 0, 1, 1
)
self.lineEdit_import_calibration = QLineEdit()
self.gridLayout_groupbox_sediment_calibration_import.addWidget(
self.lineEdit_import_calibration, 0, 1, 1, 2
)
def _setup_widgets_calibration_compute(self):
self.groupbox_sediment_calibration_compute = QGroupBox()
self.groupbox_sediment_calibration_compute.setTitle(
"Compute sediment calibration"
)
self.groupbox_sediment_calibration_compute.setCheckable(True)
self.groupbox_sediment_calibration_compute.setChecked(False)
self.horizontalLayout_groupboxes_Import_Compute_Calibration\
.addWidget(self.groupbox_sediment_calibration_compute)
self.gridLayout_groupbox_sediment_calibration_compute = QGridLayout(
self.groupbox_sediment_calibration_compute
)
self.pushbutton_compute_calibration = QPushButton()
self.pushbutton_compute_calibration.setText(
"Compute Calibration"
)
self.pushbutton_compute_calibration.setToolTip(
"Calibration is computed at abscissa 'sand target'"
)
self.gridLayout_groupbox_sediment_calibration_compute\
.addWidget(self.pushbutton_compute_calibration, 0, 0, 1, 3)
def _setup_widgets_calibration_parameters(self):
self.groupbox_sediment_calibration_parameter = QGroupBox()
self.gridLayout_groupbox_sediment_calibration_parameter = \
QGridLayout(self.groupbox_sediment_calibration_parameter)
self.verticalLayout_groupbox_sediment_calibration\
.addWidget(self.groupbox_sediment_calibration_parameter)
self.label_temperature = QLabel()
self.label_temperature.setText("T = 0.00 °C")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_temperature, 0, 0, 1, 1)
self.label_freq1 = QLabel("Frequency 1")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_freq1, 1, 1, 1, 2, Qt.AlignCenter)
self.label_freq2 = QLabel("Frequency 2")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_freq2, 1, 3, 1, 2, Qt.AlignCenter)
self.label_kt = QLabel()
self.label_kt.setText("kt")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_kt, 2, 0, 1, 1, Qt.AlignCenter)
self.label_kt_freq1 = QLabel()
self.label_kt_freq1.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_kt_freq1, 2, 1, 1, 1, Qt.AlignRight)
self.label_kt_freq1_unit = QLabel()
self.label_kt_freq1_unit.setText("V.m<sup>1.5</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_kt_freq1_unit, 2, 2, 1, 1, Qt.AlignLeft)
self.label_kt_freq2 = QLabel()
self.label_kt_freq2.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_kt_freq2, 2, 3, 1, 1, Qt.AlignRight)
self.label_kt_freq2_unit = QLabel()
self.label_kt_freq2_unit.setText("V.m<sup>1.5</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_kt_freq2_unit, 2, 4, 1, 1, Qt.AlignLeft)
self.horizontalLine = QFrame()
self.horizontalLine.setFrameShape(QFrame.HLine)
self.horizontalLine.setFrameShadow(QFrame.Sunken)
self.horizontalLine.setLineWidth(1)
self.horizontalLine.setMidLineWidth(0)
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.horizontalLine, 3, 0, 1, 6)
self.label_ks = QLabel()
self.label_ks.setText("ks")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_ks, 4, 0, 1, 1, Qt.AlignCenter)
self.lineEdit_ks_freq1 = QLineEdit()
self.lineEdit_ks_freq1.setMaximumWidth(100)
self.lineEdit_ks_freq1.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_ks_freq1, 4, 1, 1, 1)
self.label_ks_freq1_unit = QLabel()
self.label_ks_freq1_unit.setText("m.kg<sup>-0.5</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_ks_freq1_unit, 4, 2, 1, 1, Qt.AlignLeft)
self.lineEdit_ks_freq2 = QLineEdit()
self.lineEdit_ks_freq2.setMaximumWidth(100)
self.lineEdit_ks_freq2.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_ks_freq2, 4, 3, 1, 1)
self.label_ks_freq2_unit = QLabel()
self.label_ks_freq2_unit.setText("m.kg<sup>-0.5</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_ks_freq2_unit, 4, 4, 1, 1, Qt.AlignLeft)
self.label_sv = QLabel()
self.label_sv.setText("sv")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_sv, 5, 0, 1, 1, Qt.AlignCenter)
self.lineEdit_sv_freq1 = QLineEdit()
self.lineEdit_sv_freq1.setMaximumWidth(100)
self.lineEdit_sv_freq1.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_sv_freq1, 5, 1, 1, 1)
self.label_sv_freq1_unit = QLabel()
self.label_sv_freq1_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_sv_freq1_unit, 5, 2, 1, 1)
self.lineEdit_sv_freq2 = QLineEdit()
self.lineEdit_sv_freq2.setMaximumWidth(100)
self.lineEdit_sv_freq2.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_sv_freq2, 5, 3, 1, 1)
self.label_sv_freq2_unit = QLabel()
self.label_sv_freq2_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_sv_freq2_unit, 5, 4, 1, 1)
self.label_X = QLabel()
self.label_X.setText("X")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_X, 6, 0, 1, 1, Qt.AlignCenter)
self.lineEdit_X = QLineEdit()
self.lineEdit_X.setMaximumWidth(100)
self.lineEdit_X.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_X, 6, 2, 1, 1, Qt.AlignCenter)
self.label_alphas = QLabel()
self.label_alphas.setText("\u03B1s")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_alphas, 7, 0, 1, 1, Qt.AlignCenter)
self.lineEdit_alphas_freq1 = QLineEdit()
self.lineEdit_alphas_freq1.setMaximumWidth(100)
self.lineEdit_alphas_freq1.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_alphas_freq1, 7, 1, 1, 1)
self.label_alphas_freq1_unit = QLabel()
self.label_alphas_freq1_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_alphas_freq1_unit, 7, 2, 1, 1, Qt.AlignLeft)
self.lineEdit_alphas_freq2 = QLineEdit()
self.lineEdit_alphas_freq2.setMaximumWidth(100)
self.lineEdit_alphas_freq2.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_alphas_freq2, 7, 3, 1, 1)
self.label_alphas_freq2_unit = QLabel()
self.label_alphas_freq2_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_alphas_freq2_unit, 7, 4, 1, 1, Qt.AlignLeft)
self.label_zeta = QLabel()
self.label_zeta.setText("\u03B6")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_zeta, 8, 0, 1, 1, Qt.AlignCenter)
self.lineEdit_zeta_freq1 = QLineEdit()
self.lineEdit_zeta_freq1.setMaximumWidth(100)
self.lineEdit_zeta_freq1.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_zeta_freq1, 8, 1, 1, 1)
self.label_zeta_freq1_unit = QLabel()
self.label_zeta_freq1_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_zeta_freq1_unit, 8, 2, 1, 1, Qt.AlignLeft)
self.lineEdit_zeta_freq2 = QLineEdit()
self.lineEdit_zeta_freq2.setMaximumWidth(100)
self.lineEdit_zeta_freq2.setText("0.00")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.lineEdit_zeta_freq2, 8, 3, 1, 1)
self.label_zeta_freq2_unit = QLabel()
self.label_zeta_freq2_unit.setText("m<sup>-1</sup>")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.label_zeta_freq2_unit, 8, 4, 1, 1, Qt.AlignLeft)
self.pushbutton_save_calibration = QPushButton()
self.pushbutton_save_calibration.setText("Save calibration")
self.gridLayout_groupbox_sediment_calibration_parameter\
.addWidget(self.pushbutton_save_calibration,9, 5, 1, 1)
def _setup_widgets_fcb(self):
self.groupbox_FCB.setTitle(
"Step 3 (for information) : Fluid Corrected Backscatter"
)
self.horizontalLayout_groupbox_FCB = QHBoxLayout(self.groupbox_FCB)
self.groupbox_FCB.setCheckable(True)
self.groupbox_FCB.setChecked(False)
self._setup_widgets_fcb_options()
self._setup_widgets_fcb_plot()
def _setup_widgets_fcb_options(self):
self.groupbox_FCB_option = QGroupBox()
self.verticalLayout_groupbox_FCB_option = QVBoxLayout(self.groupbox_FCB_option)
self.horizontalLayout_groupbox_FCB\
.addWidget(self.groupbox_FCB_option, 4)
self.groupbox_FCB_text = QGroupBox()
self.verticalLayout_groupbox_FCB_text = QVBoxLayout(self.groupbox_FCB_text)
self.verticalLayout_groupbox_FCB_option\
.addWidget(self.groupbox_FCB_text)
self.label_FCB_explanation = QLabel()
self.label_FCB_explanation.setText(
"When fine sediments concentration is constant \n "
"and effect on sound attenuation on sand is negligible, \n "
"this sediment attenuation alphas can be compared \n "
"to the obtained by the sediment calibration computation."
)
self.verticalLayout_groupbox_FCB_text\
.addWidget(self.label_FCB_explanation)
self.gridLayout_groupbox_FCB_text_alphas = QGridLayout()
self.verticalLayout_groupbox_FCB_text\
.addLayout(self.gridLayout_groupbox_FCB_text_alphas)
self.label_FCB_explanation_alphas_positive_icon = QLabel()
self.label_FCB_explanation_alphas_positive_icon.setPixmap(
QPixmap(self._path_icon("approved.png")).scaledToHeight(
16, Qt.SmoothTransformation
)
)
self.gridLayout_groupbox_FCB_text_alphas.addWidget(
self.label_FCB_explanation_alphas_positive_icon,
0, 0, 1, 1, Qt.AlignCenter
)
self.label_FCB_explanation_alphas_positive = QLabel()
self.label_FCB_explanation_alphas_positive.setText(
"&alpha;<sub>s FCB</sub> &gt; 0 : comparison with calibration"
)
self.label_FCB_explanation_alphas_positive.setFont(QFont('Ubuntu', 12))
self.gridLayout_groupbox_FCB_text_alphas.addWidget(
self.label_FCB_explanation_alphas_positive,
0, 1, 1, 1, Qt.AlignLeft
)
self.label_FCB_explanation_alphas_negative_icon = QLabel()
self.label_FCB_explanation_alphas_negative_icon.setPixmap(
QPixmap(self._path_icon("no_approved.png")).scaledToHeight(
16, Qt.SmoothTransformation
)
)
self.gridLayout_groupbox_FCB_text_alphas.addWidget(
self.label_FCB_explanation_alphas_negative_icon,
1, 0, 1, 1, Qt.AlignCenter
)
self.label_FCB_explanation_alphas_negative = QLabel()
self.label_FCB_explanation_alphas_negative.setText(
"&alpha;<sub>s FCB</sub> &lt; 0 : do not compare with calibration"
)
self.label_FCB_explanation_alphas_negative.setFont(QFont('Ubuntu', 12))
self.gridLayout_groupbox_FCB_text_alphas.addWidget(
self.label_FCB_explanation_alphas_negative,
1, 1, 1, 1, Qt.AlignLeft
)
self.groupbox_FCB_compute = QGroupBox()
self.gridLayout_groupbox_FCB_compute = QGridLayout(self.groupbox_FCB_compute)
self.verticalLayout_groupbox_FCB_option.addWidget(self.groupbox_FCB_compute)
self.label_frequency_FCB = QLabel()
self.label_frequency_FCB.setText("Frequency ")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_frequency_FCB, 0, 0, 1, 3, Qt.AlignCenter
)
self.combobox_frequency_FCB = QComboBox()
self.gridLayout_groupbox_FCB_compute.addWidget(
self.combobox_frequency_FCB, 0, 3, 1, 3, Qt.AlignCenter
)
self.label_from = QLabel()
self.label_from.setText("From ")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_from, 1, 0, 1, 1, Qt.AlignCenter
)
self.lineEdit_FCB_from = QLineEdit()
self.lineEdit_FCB_from.setMaximumWidth(100)
self.gridLayout_groupbox_FCB_compute.addWidget(
self.lineEdit_FCB_from, 1, 1, 1, 1, Qt.AlignCenter
)
self.label_FCB_from_unit = QLabel()
self.label_FCB_from_unit.setText("m")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_FCB_from_unit, 1, 2, 1, 1, Qt.AlignLeft
)
self.label_to = QLabel()
self.label_to.setText("to ")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_to, 1, 3, 1, 1, Qt.AlignCenter
)
self.lineEdit_FCB_to = QLineEdit()
self.lineEdit_FCB_to.setMaximumWidth(100)
self.gridLayout_groupbox_FCB_compute.addWidget(
self.lineEdit_FCB_to, 1, 4, 1, 1, Qt.AlignCenter
)
self.label_FCB_to_unit = QLabel()
self.label_FCB_to_unit.setText("m")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_FCB_to_unit, 1, 5, 1, 1, Qt.AlignLeft
)
self.pushbutton_FCB_fit = QPushButton()
self.pushbutton_FCB_fit.setText("Compute and Plot Linear regression")
self.gridLayout_groupbox_FCB_compute.addWidget(
self.pushbutton_FCB_fit, 2, 0, 1, 3, Qt.AlignCenter
)
self.label_alphaS_FCB = QLabel()
self.label_alphaS_FCB.setText(
"&alpha;<sub>s</sub> = " + "0.0" + "dB/m"
)
self.label_alphaS_FCB.setFont(QFont("Ubuntu", 14, QFont.Normal))
self.gridLayout_groupbox_FCB_compute.addWidget(
self.label_alphaS_FCB, 2, 4, 1, 2
)
def _setup_widgets_fcb_plot(self):
self.verticalLayout_groupbox_FCB_plot_and_slider_FCB = QVBoxLayout()
self.horizontalLayout_groupbox_FCB.addLayout(
self.verticalLayout_groupbox_FCB_plot_and_slider_FCB, 8
)
self.groupbox_FCB_plot = QGroupBox()
self.verticalLayout_groupbox_FCB_plot = QVBoxLayout(self.groupbox_FCB_plot)
self.verticalLayout_groupbox_FCB_plot_and_slider_FCB\
.addWidget(self.groupbox_FCB_plot)
self.canvas_FCB = FigureCanvas()
self.toolbar_FCB = NavigationToolBar(self.canvas_FCB, self)
self.verticalLayout_groupbox_FCB_plot.addWidget(self.toolbar_FCB)
self.verticalLayout_groupbox_FCB_plot.addWidget(self.canvas_FCB)
self.horizontalLayout_slider_FCB = QHBoxLayout()
self.verticalLayout_groupbox_FCB_plot_and_slider_FCB\
.addLayout(self.horizontalLayout_slider_FCB)
self.pushbutton_left_to_begin_FCB = QPushButton()
self.pushbutton_left_to_begin_FCB.setIcon(
self.icon_triangle_left_to_begin
)
self.horizontalLayout_slider_FCB.addWidget(
self.pushbutton_left_to_begin_FCB
)
self.pushbutton_left_FCB = QPushButton()
self.pushbutton_left_FCB.setIcon(self.icon_triangle_left)
self.horizontalLayout_slider_FCB.addWidget(self.pushbutton_left_FCB)
self.lineEdit_slider_FCB = QLineEdit()
self.lineEdit_slider_FCB.setText("1")
self.lineEdit_slider_FCB.setFixedWidth(50)
self.horizontalLayout_slider_FCB.addWidget(self.lineEdit_slider_FCB)
self.pushbutton_right_FCB = QPushButton()
self.pushbutton_right_FCB.setIcon(self.icon_triangle_right)
self.horizontalLayout_slider_FCB.addWidget(self.pushbutton_right_FCB)
self.pushbutton_right_to_end_FCB = QPushButton()
self.pushbutton_right_to_end_FCB.setIcon(
self.icon_triangle_right_to_end
)
self.horizontalLayout_slider_FCB.addWidget(
self.pushbutton_right_to_end_FCB
)
self.slider_FCB = QSlider()
self.horizontalLayout_slider_FCB.addWidget(self.slider_FCB)
self.slider_FCB.setOrientation(Qt.Horizontal)
self.slider_FCB.setCursor(Qt.OpenHandCursor)
self.slider_FCB.setMinimum(1)
self.slider_FCB.setMaximum(10)
self.slider_FCB.setTickInterval(1)
self.slider_FCB.setValue(1)
def _setup_connections(self):
self.pushbutton_update_acoustic_file\
.clicked.connect(
self.function_pushbutton_update_acoustic_file
)
self.pushbutton_plot_sample\
.clicked.connect(
self.function_pushbutton_plot_sample
)
self.pushbutton_interpolate_Mfine_profile\
.clicked.connect(self.interpolate_Mfine_profile)
self.groupbox_sediment_calibration_import\
.toggled.connect(self.groupbox_calibration_import_toggle)
self.groupbox_sediment_calibration_import\
.toggled.connect(self.groupbox_calibration_import_size_change)
self.pushbutton_import_calibration\
.clicked.connect(self.import_calibration_file)
self.groupbox_sediment_calibration_compute\
.toggled.connect(self.groupbox_calibration_compute_toggle)
self.groupbox_sediment_calibration_compute\
.toggled.connect(self.groupbox_calibration_compute_size_change)
self.pushbutton_compute_calibration\
.clicked.connect(self.function_pushbutton_compute_calibration)
self.pushbutton_save_calibration\
.clicked.connect(self.save_calibration)
self.pushbutton_left_to_begin_FCB\
.clicked.connect(self.slider_profile_number_to_begin_FCB)
self.pushbutton_left_FCB\
.clicked.connect(self.slider_profile_number_to_left_FCB)
self.pushbutton_right_FCB\
.clicked.connect(self.slider_profile_number_to_right_FCB)
self.pushbutton_right_to_end_FCB\
.clicked.connect(self.slider_profile_number_to_end_FCB)
self.lineEdit_slider_FCB\
.returnPressed.connect(self.profile_number_on_lineEdit_FCB)
self.slider_FCB\
.valueChanged.connect(self.update_lineEdit_by_moving_slider_FCB)
self.pushbutton_FCB_fit\
.clicked.connect(
self.fit_FCB_profile_with_linear_regression_and_compute_alphaS
)
# ==============================================================================================================
# ----------------------------------- Functions for Signal processing Tab --------------------------------------
# ==============================================================================================================
@trace
def full_update(self):
logger.debug(f"{__name__}: Update")
self.blockSignals(True)
self.function_pushbutton_update_acoustic_file()
self.blockSignals(False)
def function_pushbutton_update_acoustic_file(self):
if len(stg.data_preprocessed) == 0:
return
if (len(stg.sample_fine) == 0 or len(stg.sample_sand) == 0):
return
self.update_acoustic_data()
self.compute_depth_2D()
def update_acoustic_data(self):
self.combobox_acoustic_data_choice.clear()
self.combobox_acoustic_data_choice.addItems(stg.data_preprocessed)
self.combobox_acoustic_data_choice\
.currentIndexChanged.connect(self.plot_acoustic_recording)
self.combobox_freq1.clear()
self.combobox_freq1.addItems(
stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()]
)
self.combobox_freq1.currentIndexChanged\
.connect(self.update_label_freq1_for_calibration)
self.combobox_freq1.currentIndexChanged\
.connect(self.update_label_kt_value_for_calibration)
self.combobox_freq2.clear()
self.combobox_freq2.addItems(
stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()]
)
self.combobox_freq2.currentIndexChanged\
.connect(self.update_label_freq2_for_calibration)
self.combobox_freq2.currentIndexChanged\
.connect(self.update_label_kt_value_for_calibration)
self.combobox_freq2.currentIndexChanged\
.connect(self.plot_acoustic_recording)
self.combobox_fine_sample_choice.clear()
self.combobox_fine_sample_choice.addItems(
[f[0] for f in stg.sample_fine]
)
self.combobox_sand_sample_choice.clear()
self.combobox_sand_sample_choice.addItems(
[s[0] for s in stg.sample_sand]
)
self.plot_acoustic_recording()
self.label_temperature.clear()
self.label_temperature.setText("T = " + str(stg.temperature) + " °C")
self.update_label_freq1_for_calibration()
self.update_label_freq2_for_calibration()
self.update_label_kt_value_for_calibration()
def function_pushbutton_plot_sample(self):
if (self.combobox_acoustic_data_choice.currentIndex() == -1):
return
self.sample_choice_for_calibration()
self.plot_acoustic_recording()
self.summary_samples_choices()
self.plot_profile_of_concentration_fine()
self.compute_FCB()
def plot_acoustic_recording(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
# --- Record frequencies for calibration ---
stg.frequencies_for_calibration.clear()
stg.frequencies_for_calibration.append(
(
stg.freq[data_id][
self.combobox_freq1.currentIndex()
],
self.combobox_freq1.currentIndex()
)
)
stg.frequencies_for_calibration.append(
(
stg.freq[data_id][
self.combobox_freq2.currentIndex()
],
self.combobox_freq2.currentIndex()
)
)
stg.frequency_for_inversion = tuple()
stg.frequency_for_inversion = (
stg.freq[data_id][
self.combobox_freq2.currentIndex()
],
self.combobox_freq2.currentIndex()
)
# --- Plot acoustic data recording ---
self.verticalLayout_groupbox_data_plot.removeWidget(self.toolbar_BS)
self.verticalLayout_groupbox_data_plot.removeWidget(self.canvas_BS)
self.fig_BS, self.axis_BS = plt.subplots(
nrows=1, ncols=1, sharex=True, sharey=False, layout='constrained'
)
self.canvas_BS = FigureCanvas(self.fig_BS)
self.toolbar_BS = NavigationToolBar(self.canvas_BS, self)
self.verticalLayout_groupbox_data_plot.addWidget(self.toolbar_BS)
self.verticalLayout_groupbox_data_plot.addWidget(self.canvas_BS)
if stg.BS_stream_bed_pre_process_average[
data_id
].shape != (0,):
val_min = np.nanmin(
stg.BS_stream_bed_pre_process_average[
data_id
][
self.combobox_freq2.currentIndex(), :, :
]
)
val_max = np.nanmax(
stg.BS_stream_bed_pre_process_average[
data_id
][
self.combobox_freq2.currentIndex(), :, :
]
)
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_stream_bed_pre_process_SNR[data_id].shape != (0,):
val_min = np.nanmin(
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_stream_bed[data_id].shape != (0,):
val_min = np.nanmin(
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :])
val_max = np.nanmax(
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :])
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_stream_bed[data_id][self.combobox_freq2.currentIndex(),
:, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_cross_section_pre_process_average[data_id].shape != (0,):
val_min = np.nanmin(
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_cross_section_pre_process_SNR[data_id].shape != (0,):
val_min = np.nanmin(
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_cross_section[data_id].shape != (0,):
val_min = np.nanmin(
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
if stg.time_cross_section[data_id].shape != (0,):
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
if stg.depth_cross_section[data_id].shape != (0,):
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
else:
self.axis_BS.pcolormesh(
stg.time[data_id][
self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
stg.BS_cross_section[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_raw_data_pre_process_average[data_id].shape != (0,):
val_min = np.nanmin(stg.BS_raw_data_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(stg.BS_raw_data_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
self.axis_BS.pcolormesh(
stg.time[data_id][self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][self.combobox_freq2.currentIndex(), :],
stg.BS_raw_data_pre_process_average[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_raw_data_pre_process_SNR[data_id].shape != (0,):
val_min = np.nanmin(stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
self.axis_BS.pcolormesh(
stg.time[data_id][self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][self.combobox_freq2.currentIndex(), :],
stg.BS_raw_data_pre_process_SNR[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
elif stg.BS_raw_data[data_id].shape != (0,):
val_min = np.nanmin(stg.BS_raw_data[data_id][
self.combobox_freq2.currentIndex(), :, :])
val_max = np.nanmax(stg.BS_raw_data[data_id][
self.combobox_freq2.currentIndex(), :, :])
if val_min == 0:
val_min = 1e-5
self.axis_BS.pcolormesh(
stg.time[data_id][self.combobox_freq2.currentIndex(), :],
-stg.depth[data_id][self.combobox_freq2.currentIndex(), :],
stg.BS_raw_data[data_id][
self.combobox_freq2.currentIndex(), :, :],
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
# --- Plot samples ---
if (stg.fine_sample_profile) or (stg.sand_sample_target):
self.axis_BS.scatter([stg.time_fine[f[1]] for f in stg.fine_sample_profile],
[stg.depth_fine[f[1]] for f in stg.fine_sample_profile],
marker='o', s=20, facecolor="k", edgecolor="None")
self.axis_BS.scatter([stg.time_sand[s[1]] for s in stg.sand_sample_target],
[stg.depth_sand[s[1]] for s in stg.sand_sample_target],
marker='o', s=50, facecolor="None", edgecolor="k")
for i in stg.fine_sample_profile:
self.axis_BS.text(stg.time_fine[i[1]] + 5, stg.depth_fine[i[1]] - .2, i[0],
fontstyle="normal", fontweight="light", fontsize=8)
for j in stg.sand_sample_target:
self.axis_BS.text(stg.time_sand[j[1]] - 12, stg.depth_sand[j[1]] - .2, j[0],
fontstyle="normal", fontweight="light", fontsize=8)
elif (stg.sample_fine) or (stg.sample_sand):
self.axis_BS.scatter(stg.time_fine, stg.depth_fine, marker='o', s=20, facecolor="k", edgecolor="None")
self.axis_BS.scatter(stg.time_sand, stg.depth_sand, marker='o', s=50, facecolor="None", edgecolor="k")
for i in stg.sample_fine:
self.axis_BS.text(stg.time_fine[i[1]] + 5, stg.depth_fine[i[1]] - .2, i[0],
fontstyle="normal", fontweight="light", fontsize=8)
for j in stg.sample_sand:
self.axis_BS.text(stg.time_sand[j[1]] - 12, stg.depth_sand[j[1]] - .2, j[0],
fontstyle="normal", fontweight="light", fontsize=8)
# --- Plot vertical red line for position of FCB profile ---
if stg.sand_sample_target_indice:
if stg.depth_cross_section[data_id].shape != (0,):
if stg.time_cross_section[data_id].shape != (0,):
self.red_line_plot_return, = (
self.axis_BS.plot(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), stg.sand_sample_target_indice[0][1]] *
np.ones(stg.depth_cross_section[data_id].shape[1]),
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
color='red', linestyle="solid", linewidth=2))
else:
self.red_line_plot_return, = (
self.axis_BS.plot(
stg.time[data_id][
self.combobox_freq2.currentIndex(), stg.sand_sample_target_indice[0][1]] *
np.ones(stg.depth_cross_section[data_id].shape[1]),
-stg.depth_cross_section[data_id][
self.combobox_freq2.currentIndex(), :],
color='red', linestyle="solid", linewidth=2))
else:
if stg.time_cross_section[data_id].shape != (0,):
self.red_line_plot_return, = (
self.axis_BS.plot(
stg.time_cross_section[data_id][
self.combobox_freq2.currentIndex(), stg.sand_sample_target_indice[0][1]] *
np.ones(stg.depth[data_id].shape[1]),
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
color='red', linestyle="solid", linewidth=2))
else:
self.red_line_plot_return, = (
self.axis_BS.plot(
stg.time[data_id][
self.combobox_freq2.currentIndex(), stg.sand_sample_target_indice[0][1]] *
np.ones(stg.depth[data_id].shape[1]),
-stg.depth[data_id][
self.combobox_freq2.currentIndex(), :],
color='red', linestyle="solid", linewidth=2))
self.axis_BS.set_xlabel("Time (sec)")
self.axis_BS.set_ylabel("Depth (m)")
self.fig_BS.canvas.draw_idle()
def sample_choice_for_calibration(self):
# --- List selected fine samples ---
stg.fine_sample_profile = [(f, int(f[1:]) - 1) for f in self.combobox_fine_sample_choice.currentData()]
# --- List selected sand samples ---
# stg.sand_sample_target = [(s, int(s[1:]) - 1) for s in self.combobox_sand_sample_choice.currentData()]
stg.sand_sample_target = [(self.combobox_sand_sample_choice.currentText(),
self.combobox_sand_sample_choice.currentIndex())]
# --- Find index in time (along acoustic recording) of sand sample target ---
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
t1 = (
np.where(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - stg.time_sand[stg.sand_sample_target[0][1]]) ==
np.nanmin(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - stg.time_sand[stg.sand_sample_target[0][1]])))[0][0]
)
t2 = (
np.where(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - stg.time_sand[stg.sand_sample_target[0][1]]) ==
np.nanmin(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - stg.time_sand[stg.sand_sample_target[0][1]])))[0][0]
)
else:
t1 = (
np.where(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - stg.time_sand[
stg.sand_sample_target[0][1]]) ==
np.nanmin(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - stg.time_sand[
stg.sand_sample_target[0][1]])))[0][0]
)
t2 = (
np.where(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - stg.time_sand[
stg.sand_sample_target[0][1]]) ==
np.nanmin(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - stg.time_sand[
stg.sand_sample_target[0][1]])))[0][0]
)
# --- Find index in depth (along acoustic recording) of sand sample target ---
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
d1 = (
np.where(np.abs(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - (-stg.depth_sand[stg.sand_sample_target[0][1]]) ) ==
np.nanmin(np.abs(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - (-stg.depth_sand[stg.sand_sample_target[0][1]]) )))[0][0]
)
d2 = (
np.where(np.abs(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - (-stg.depth_sand[stg.sand_sample_target[0][1]]) ) ==
np.nanmin(np.abs(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - (-stg.depth_sand[stg.sand_sample_target[0][1]]) )))[0][0]
)
else:
d1 = (
np.where(np.abs(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - (-stg.depth_sand[
stg.sand_sample_target[0][1]]) ) ==
np.nanmin(np.abs(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex()] - (-stg.depth_sand[
stg.sand_sample_target[0][1]]) )))[0][0]
)
d2 = (
np.where(np.abs(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - (-stg.depth_sand[
stg.sand_sample_target[0][1]]) ) ==
np.nanmin(np.abs(stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex()] - (-stg.depth_sand[
stg.sand_sample_target[0][1]]) )))[0][0]
)
stg.sand_sample_target_indice = [(d1, t1), (d2, t2)]
def summary_samples_choices(self):
self.pushbutton_compute_calibration.setToolTip("Calibration is computed at abscissa " + str(self.combobox_sand_sample_choice.currentText()))
for i in reversed(range(self.gridLayout_groupbox_interpolate_info.count())):
self.gridLayout_groupbox_interpolate_info.itemAt(i).widget().setParent(None)
self.gridLayout_groupbox_interpolate_info.addWidget(self.pushbutton_interpolate_Mfine_profile, 0, 0, 1, 4, Qt.AlignCenter)
fine_head = ["Sample", "Depth (m)", "time", "Cfine (g/L)"]
fine_label = [self.label_sample_fine, self.label_depth_fine, self.label_time_fine,
self.label_concentration_fine]
for j in range(len(fine_head)):
exec("fine_label[" + str(j) + "] = QLabel()")
eval("fine_label[" + str(j) + "].setText(fine_head[" + str(j) + "])")
print((f"self.gridLayout_groupbox_interpolate_info.addWidget(fine_label[{j}], 1, {j}, 1, 1, Qt.AlignCenter)"))
eval(f"self.gridLayout_groupbox_interpolate_info.addWidget(fine_label[{j}], 1, {j}, 1, 1, Qt.AlignCenter)")
fine_data = []
for k in range(len(stg.fine_sample_profile)):
fine_data.append([stg.fine_sample_profile[k][0], str(stg.depth_fine[k]), str(stg.time_fine[k]), str(stg.Ctot_fine[k])])
print(fine_data)
for p in range(len(fine_data)):
for q in range(len(fine_data[0])):
print(f"self.gridLayout_groupbox_interpolate_info.addWidget(QLabel(fine_data[{p}][{q}]), {2 + p}, {q}, 1, 1, Qt.AlignCenter)")
eval(f"self.gridLayout_groupbox_interpolate_info.addWidget(QLabel(fine_data[{p}][{q}]), {2 + p}, {q}, 1, 1, Qt.AlignCenter)")
self.gridLayout_groupbox_interpolate_info.addWidget(self.double_horizontal_line, 2 + len(fine_data), 0, 1, 4, Qt.AlignCenter)
sand_head = ["Sample", "Depth (m)", "time", "Csand (g/L)"]
sand_label = [self.label_sample_sand, self.label_depth_sand, self.label_time_sand,
self.label_concentration_sand]
for s in range(len(sand_head)):
exec("sand_label[" + str(s) + "] = QLabel()")
eval("sand_label[" + str(s) + "].setText(sand_head[" + str(s) + "])")
print(f"self.gridLayout_groupbox_interpolate_info.addWidget(sand_label[{s}], {3 + len(fine_data)}, {s}, 1, 1, Qt.AlignCenter)")
eval(f"self.gridLayout_groupbox_interpolate_info.addWidget(sand_label[{s}], {3 + len(fine_data)}, {s}, 1, 1, Qt.AlignCenter)")
sand_data = [stg.sand_sample_target[0][0],
str(stg.depth_sand[stg.sand_sample_target[0][1]]),
str(stg.time_sand[stg.sand_sample_target[0][1]]),
str(stg.Ctot_sand[stg.sand_sample_target[0][1]])]
for t in range(len(sand_data)):
self.gridLayout_groupbox_interpolate_info.addWidget(QLabel(sand_data[t]), 4 + len(fine_data), t, 1, 1, Qt.AlignCenter)
def plot_profile_of_concentration_fine(self):
# --- Plot profile of the concentration of the fine sediments ---
self.verticalLayout_groupbox_interpolate_plot.removeWidget(self.canvas_Mfine)
self.verticalLayout_groupbox_interpolate_plot.removeWidget(self.toolbar_Mfine)
self.fig_Mfine, self.ax_Mfine = plt.subplots(1, 1, layout="constrained")
self.canvas_Mfine = FigureCanvas(self.fig_Mfine)
self.toolbar_Mfine = NavigationToolBar(self.canvas_Mfine, self)
self.verticalLayout_groupbox_interpolate_plot.addWidget(self.toolbar_Mfine)
self.verticalLayout_groupbox_interpolate_plot.addWidget(self.canvas_Mfine)
for t, c in stg.fine_sample_profile:
self.ax_Mfine.plot(stg.Ctot_fine[c], stg.depth_fine[c],
marker="o", mfc="k", mec="k", ms=10, ls="None")
self.ax_Mfine.text(stg.Ctot_fine[c] + 0.05 * stg.Ctot_fine[c], stg.depth_fine[c], t,
fontstyle="normal", fontweight="light", fontsize=12)
self.ax_Mfine.set_xlabel("Concentration fine sediments (g/L)")
self.ax_Mfine.set_ylabel("Depth (m)")
if stg.M_profile_fine.any():
self.ax_Mfine.plot(stg.M_profile_fine, -stg.range_lin_interp,
marker="*", mfc="b", mec="b", ms=8, ls="None")
def interpolate_Mfine_profile(self):
# Variable 'stg.sand_sample_target_indice' is set only at
# 'plot sample' button click
if len(stg.sand_sample_target_indice) == 0:
self._data_validity_message_box()
return
if len(stg.fine_sample_profile) == 0:
self._data_validity_message_box()
return
data_choice = self.combobox_acoustic_data_choice\
.currentIndex()
if stg.depth_cross_section[data_choice].shape != (0,):
depth_data = stg.depth_cross_section
if stg.time_cross_section[data_choice].shape != (0,):
time_data = stg.time_cross_section
else:
time_data = stg.time
else:
depth_data = stg.depth
if stg.time_cross_section[data_choice].shape != (0,):
time_data = stg.time_cross_sectino
else:
time_data = stg.time
self.interpolate_Mfine_profile_compute(
data_choice, depth_data, time_data
)
def interpolate_Mfine_profile_compute(self, data_choice, depth_data, time_data):
range_cells=depth_data[data_choice][
self.combobox_freq2.currentIndex(), :
]
sample_depth = [
-stg.depth_fine[k[1]]
for k in stg.fine_sample_profile
]
M_profile = [
stg.Ctot_fine[k[1]]
for k in stg.fine_sample_profile
]
r_bottom = [stg.depth_bottom[data_choice][
np.where(
np.abs(
time_data[data_choice][
self.combobox_freq2.currentIndex(), :
]
- stg.time_fine[stg.fine_sample_profile[-1][1]]
) == np.nanmin(
np.abs(
time_data[data_choice][
self.combobox_freq2.currentIndex(), :
]
- stg.time_fine[stg.fine_sample_profile[-1][1]])
)
)[0][0]
] if len(stg.depth_bottom[data_choice])!=0 else np.array([])][0]
logger.debug(
"call 'inv_hc.M_profile_SCC_fine_interpolated' params:"
)
logger.debug(f"sample_depth = {sample_depth}")
logger.debug(f"M_profile = {M_profile}")
logger.debug(f"range_cells = {range_cells}")
logger.debug(f"r_bottom = {r_bottom}")
stg.range_lin_interp, stg.M_profile_fine = (
self.inv_hc.M_profile_SCC_fine_interpolated(
sample_depth=sample_depth,
M_profile=M_profile,
range_cells=range_cells,
r_bottom=r_bottom
)
)
stg.range_lin_interp = stg.range_lin_interp
stg.M_profile_fine = stg.M_profile_fine
stg.M_profile_fine = stg.M_profile_fine[
:stg.range_lin_interp.shape[0]
]
self.plot_profile_of_concentration_fine()
def _data_validity_message_box(self):
msgBox = QMessageBox()
msgBox.setWindowTitle("Interpolate (step 2)")
msgBox.setIconPixmap(
QPixmap(
self._path_icon("no_approved.png")
)
.scaledToHeight(32, Qt.SmoothTransformation)
)
msgBox.setText(
"Please select and valid the find and sand"
+ "sample data with click on 'sample plot' button"
)
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
# ------------------------------------------------------------------
# --------------- Functions for sediment calibration ---------------
# ------------------------------------------------------------------
def groupbox_calibration_import_toggle(self):
if self.groupbox_sediment_calibration_import.isChecked() == True:
self.groupbox_sediment_calibration_compute.setChecked(False)
elif self.groupbox_sediment_calibration_import.isChecked() == True:
self.groupbox_sediment_calibration_compute.setChecked(False)
def groupbox_calibration_import_size_change(self):
duration = 500
self.animaiton_groupbox_import = QPropertyAnimation(self.groupbox_sediment_calibration_import, b"size")
self.animaiton_groupbox_import.setDuration(duration)
self.animaiton_groupbox_import.setStartValue(QSize(self.groupbox_sediment_calibration_import.width(),
self.groupbox_sediment_calibration_import.height()))
if self.groupbox_sediment_calibration_import.isChecked():
self.animaiton_groupbox_import.setEndValue(
QSize(self.groupbox_sediment_calibration_import.width(),
self.groupbox_sediment_calibration_import.sizeHint().height()))
else:
self.animaiton_groupbox_import.setEndValue(QSize(self.groupbox_sediment_calibration_import.width(), 25))
self.animaiton_groupbox_import.start()
def groupbox_calibration_compute_toggle(self):
if self.groupbox_sediment_calibration_compute.isChecked() == True:
self.groupbox_sediment_calibration_import.setChecked(False)
elif self.groupbox_sediment_calibration_compute.isChecked() == True:
self.groupbox_sediment_calibration_import.setChecked(False)
def groupbox_calibration_compute_size_change(self):
duration = 500
self.animaiton_groupbox_compute = QPropertyAnimation(self.groupbox_sediment_calibration_compute, b"size")
self.animaiton_groupbox_compute.setDuration(duration)
self.animaiton_groupbox_compute.setStartValue(QSize(self.groupbox_sediment_calibration_compute.width(),
self.groupbox_sediment_calibration_compute.height()))
if self.groupbox_sediment_calibration_compute.isChecked():
self.animaiton_groupbox_compute.setEndValue(
QSize(self.groupbox_sediment_calibration_compute.width(),
self.groupbox_sediment_calibration_compute.sizeHint().height()))
else:
self.animaiton_groupbox_compute.setEndValue(QSize(self.groupbox_sediment_calibration_compute.width(), 25))
self.animaiton_groupbox_compute.start()
def import_calibration_file(self):
if self.combobox_acoustic_data_choice.count() == 0:
msgBox = QMessageBox()
msgBox.setWindowTitle("Calibration import error")
msgBox.setIconPixmap(
QPixmap(
self._path_icon("no_approved.png")
).scaledToHeight(32, Qt.SmoothTransformation)
)
msgBox.setText("Update data before importing calibration")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
filename = QFileDialog.getOpenFileName(
self, "Open calibration",
[
stg.path_calibration_file
if stg.path_calibration_file
else stg.path_BS_raw_data[-1]
if self.combobox_acoustic_data_choice.count() > 0
else ""
][0],
"Calibration file (*.xls, *.ods, *csv)",
options=QFileDialog.DontUseNativeDialog
)
dir_name = os.path.dirname(filename[0])
name = os.path.basename(filename[0])
stg.path_calibration_file = dir_name
stg.filename_calibration_file = name
self.lineEdit_import_calibration.clear()
self.lineEdit_import_calibration.setText(name)
self.lineEdit_import_calibration.setToolTip(dir_name)
self.compute_depth_2D()
self.read_calibration_file_and_fill_parameter()
def update_label_freq1_for_calibration(self):
self.label_freq1.clear()
self.label_freq1.setText(
str(self.combobox_freq1.currentText())
)
def update_label_freq2_for_calibration(self):
self.label_freq2.clear()
self.label_freq2.setText(
self.combobox_freq2.currentText()
)
def update_label_kt_value_for_calibration(self):
freq_1 = self.combobox_freq1.currentIndex()
freq_2 = self.combobox_freq2.currentIndex()
self.label_kt_freq1.clear()
if stg.kt_corrected[freq_1] != stg.kt_read[freq_1]:
self.label_kt_freq1.setText(
str('%.4f' % stg.kt_corrected[freq_1])
)
else:
self.label_kt_freq1.setText(
str('%.4f' % stg.kt_read[freq_1])
)
self.label_kt_freq2.clear()
if stg.kt_corrected[freq_2] != stg.kt_read[freq_2]:
self.label_kt_freq2.setText(
str('%.4f' % stg.kt_corrected[freq_2])
)
else:
self.label_kt_freq2.setText(
str('%.4f' % stg.kt_read[freq_2])
)
def read_calibration_file_and_fill_parameter(self):
if stg.filename_calibration_file == "":
pass
else:
# --- Read calibration file ---
data = pd.read_csv(os.path.join(stg.path_calibration_file, stg.filename_calibration_file), header=0, index_col=0)
# --- Fill spinboxes of calibration parameter ---
self.label_temperature.clear()
self.label_temperature.setText(
"T = " + str(stg.temperature) + " °C"
)
self.label_freq1.clear()
self.label_freq1.setText(data.columns[0])
data_id = self.combobox_acoustic_data_choice.currentIndex()
index_freq1 = np.where(
np.asarray(
stg.freq_text[data_id]
) == data.columns[0]
)[0][0]
stg.frequencies_for_calibration.clear()
stg.frequencies_for_calibration.append(
(
stg.freq[data_id][index_freq1],
index_freq1
)
)
self.label_freq2.clear()
self.label_freq2.setText(data.columns[1])
index_freq2 = np.where(
np.asarray(
stg.freq_text[data_id]
) == data.columns[1]
)[0][0]
stg.frequencies_for_calibration.append(
(
stg.freq[data_id][index_freq2],
index_freq2
)
)
stg.frequency_for_inversion = tuple()
stg.frequency_for_inversion = (
stg.freq[data_id][index_freq2],
index_freq2
)
self.lineEdit_ks_freq1.clear()
self.lineEdit_ks_freq1.setText(
str("%.5f" % float(data.iloc[0][0]))
)
self.lineEdit_ks_freq2.clear()
self.lineEdit_ks_freq2.setText(
str("%.5f" % float(data.iloc[0][1]))
)
stg.ks.clear()
stg.ks = [
float(self.lineEdit_ks_freq1.text()),
float(self.lineEdit_ks_freq2.text())
]
self.lineEdit_sv_freq1.clear()
self.lineEdit_sv_freq1.setText(
str("%.5f" % float(data.iloc[1][0]))
)
self.lineEdit_sv_freq2.clear()
self.lineEdit_sv_freq2.setText(
str("%.5f" % float(data.iloc[1][1]))
)
stg.sv.clear()
stg.sv = [
float(self.lineEdit_sv_freq1.text()),
float(self.lineEdit_sv_freq2.text())
]
self.lineEdit_X.clear()
self.lineEdit_X.setText(
str("%.2f" % float(data.iloc[2][0]))
)
stg.X_exponent.clear()
stg.X_exponent.append(float(self.lineEdit_X.text()))
self.lineEdit_alphas_freq1.clear()
self.lineEdit_alphas_freq1.setText(
str("%.5f" % float(data.iloc[3][0]))
)
self.lineEdit_alphas_freq2.clear()
self.lineEdit_alphas_freq2.setText(
str("%.5f" % float(data.iloc[3][1]))
)
stg.alpha_s.clear()
stg.alpha_s = [
float(self.lineEdit_alphas_freq1.text()),
float(self.lineEdit_alphas_freq2.text())
]
self.lineEdit_zeta_freq1.clear()
self.lineEdit_zeta_freq1.setText(
str("%.5f" % float(data.iloc[4][0]))
)
self.lineEdit_zeta_freq2.clear()
self.lineEdit_zeta_freq2.setText(
str("%.5f" % float(data.iloc[4][1]))
)
stg.zeta.clear()
stg.zeta = [
float(self.lineEdit_zeta_freq1.text()),
float(self.lineEdit_zeta_freq2.text())
]
self.compute_kt2D_kt3D()
self.compute_J_cross_section()
def compute_depth_2D(self):
if self.combobox_acoustic_data_choice.count() > 0:
for k in range(self.combobox_acoustic_data_choice.count()):
while len(stg.depth_2D) <= k:
stg.depth_2D.append(np.array([]))
if stg.depth_cross_section[k].shape != (0,):
if stg.time_cross_section[k].shape != (0,):
stg.depth_2D[k] = (
np.zeros((stg.freq[k].shape[0],
stg.depth_cross_section[k].shape[1],
stg.time_cross_section[k].shape[1])))
for f, _ in enumerate(stg.freq[k]):
stg.depth_2D[k][f, :, :] = (
np.repeat(np.transpose(stg.depth_cross_section[k]
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
stg.time_cross_section[k].shape[1],
axis=1))
elif stg.time[k].shape != (0,):
stg.depth_2D[k] = (
np.zeros((stg.freq[k].shape[0],
stg.depth_cross_section[k].shape[1],
stg.time[k].shape[1])))
for f, _ in enumerate(stg.freq[k]):
stg.depth_2D[k][f, :, :] = (
np.repeat(
np.transpose(stg.depth_cross_section[k]
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
stg.time[k].shape[1],
axis=1))
elif stg.depth[k].shape != (0,):
if stg.time_cross_section[k].shape != (0,):
stg.depth_2D[k] = (
np.zeros((stg.freq[k].shape[0],
stg.depth[k].shape[1],
stg.time_cross_section[k].shape[1])))
for f, _ in enumerate(stg.freq[k]):
stg.depth_2D[k][f, :, :] = (
np.repeat(
np.transpose(stg.depth[k]
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
stg.time_cross_section[k].shape[1],
axis=1))
elif stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.depth_2D[k] = (
np.zeros((stg.freq[k].shape[0],
stg.depth[k].shape[1],
stg.time[k].shape[1])))
for f, _ in enumerate(stg.freq[k]):
stg.depth_2D[k][f, :, :] = (
np.repeat(
np.transpose(stg.depth[k]
[self.combobox_freq1.currentIndex()])[:, np.newaxis],
stg.time[k].shape[1],
axis=1))
def function_pushbutton_compute_calibration(self):
if self.combobox_acoustic_data_choice.count() == 0:
msgBox = QMessageBox()
msgBox.setWindowTitle("Calibration computation error")
msgBox.setIconPixmap(
QPixmap(
self._path_icon("no_approved.png")
).scaledToHeight(32, Qt.SmoothTransformation)
)
msgBox.setText("Update data before importing calibration")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
self.label_temperature.clear()
self.label_temperature.setText("T = " + str(stg.temperature) + " °C")
self.compute_depth_2D()
self.compute_ks()
self.compute_sv()
self.compute_X()
self.compute_kt2D_kt3D()
self.compute_J_cross_section()
self.compute_alpha_s()
self.compute_zeta()
def compute_ks(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
psd_number_of_particles = (
self.inv_hc.compute_particle_size_distribution_in_number_of_particles(
num_sample=stg.sand_sample_target[0][1],
r_grain=stg.radius_grain_sand,
frac_vol_cumul=stg.frac_vol_sand_cumul
)
)
ks_freq1 = self.inv_hc.ks(
proba_num=psd_number_of_particles,
freq=stg.freq[data_id][self.combobox_freq1.currentIndex()],
C=stg.water_velocity
)
ks_freq2 = self.inv_hc.ks(
proba_num=psd_number_of_particles,
freq=stg.freq[data_id][self.combobox_freq2.currentIndex()],
C=stg.water_velocity
)
stg.ks = [ks_freq1, ks_freq2]
logger.debug(
"ks for frequency of "
+ f"{stg.freq[data_id][self.combobox_freq1.currentIndex()]} : "
+ f"{ks_freq1} m/kg^0.5 \n"
)
logger.debug(
"ks for frequency of "
+ f"{stg.freq[data_id][self.combobox_freq2.currentIndex()]} : " +
f"{ks_freq2} m/kg^0.5"
)
self.lineEdit_ks_freq1.clear()
self.lineEdit_ks_freq1.setText(str("%.5f" % ks_freq1))
self.lineEdit_ks_freq2.clear()
self.lineEdit_ks_freq2.setText(str("%.5f" % ks_freq2))
def compute_sv(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
sv_freq1 = self.inv_hc.sv(ks=stg.ks[0], M_sand=stg.Ctot_sand[stg.sand_sample_target[0][1]])
sv_freq2 = self.inv_hc.sv(ks=stg.ks[1], M_sand=stg.Ctot_sand[stg.sand_sample_target[0][1]])
stg.sv = [sv_freq1, sv_freq2]
logger.debug(
f"sv for frequency of {stg.freq[data_id][self.combobox_freq1.currentIndex()]}"
+ f" : {sv_freq1:.8f} /m \n"
)
logger.debug(
f"sv for frequency of {stg.freq[data_id][self.combobox_freq2.currentIndex()]}"
+ f" : {sv_freq2:.8f} /m"
)
self.lineEdit_sv_freq1.clear()
self.lineEdit_sv_freq1.setText(str("%.5f" % sv_freq1))
self.lineEdit_sv_freq2.clear()
self.lineEdit_sv_freq2.setText(str("%.5f" % sv_freq2))
def compute_X(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
X_exponent = self.inv_hc.X_exponent(
freq1=stg.freq[data_id][self.combobox_freq1.currentIndex()],
freq2=stg.freq[data_id][self.combobox_freq2.currentIndex()],
sv_freq1=stg.sv[0], sv_freq2=stg.sv[1]
)
stg.X_exponent.clear()
stg.X_exponent.append(X_exponent)
logger.debug(f"Exponent X = {X_exponent:.2f}\n")
self.lineEdit_X.setText(str("%.2f" % X_exponent))
def compute_kt2D_kt3D(self):
for i in range(self.combobox_acoustic_data_choice.count()):
if stg.depth_cross_section[i].shape != (0,):
depth_data = stg.depth_cross_section
elif stg.depth[i].shape != (0,):
depth_data = stg.depth
else:
continue
if stg.time_cross_section[i].shape != (0,):
time_data = stg.time_cross_section
elif stg.time[i].shape != (0,):
time_data = stg.time
else:
continue
if stg.kt_corrected != stg.kt_read:
kt_data = stg.kt_corrected
else:
kt_data = stg.kt_read
stg.kt2D[i] = np.repeat(
np.array([kt_data]).transpose(),
time_data[i].shape[1],
axis=1
)
stg.kt3D[i] = np.repeat(
stg.kt2D[i][:, np.newaxis, :],
depth_data[i].shape[1],
axis=1
)
def compute_J_cross_section(self):
lst_bs_data = [
stg.BS_stream_bed_pre_process_average,
stg.BS_stream_bed_pre_process_SNR,
stg.BS_stream_bed,
stg.BS_cross_section_pre_process_average,
stg.BS_cross_section_pre_process_SNR,
stg.BS_cross_section,
stg.BS_raw_data_pre_process_average,
stg.BS_raw_data_pre_process_SNR,
stg.BS_raw_data
]
for i in range(self.combobox_acoustic_data_choice.count()):
J_cross_section_freq1 = np.array([])
J_cross_section_freq2 = np.array([])
for data in lst_bs_data:
if data[i].shape != (0,):
bs_data = data
break
print(f"{stg.depth_2D[i].shape}")
print(f"{stg.depth_2D[i]}")
J_cross_section_freq1 = self.inv_hc.j_cross_section(
BS = bs_data[i][
stg.frequencies_for_calibration[0][1], :, :
],
r2D = stg.depth_2D[i][
stg.frequencies_for_calibration[0][1], :, :
],
kt = stg.kt3D[i][
stg.frequencies_for_calibration[0][1], :, :
]
)
J_cross_section_freq2 = self.inv_hc.j_cross_section(
BS = bs_data[i][
stg.frequencies_for_calibration[1][1], :, :
],
r2D = stg.depth_2D[i][
stg.frequencies_for_calibration[1][1], :, :
],
kt = stg.kt3D[i][
stg.frequencies_for_calibration[1][1], :, :
]
)
stg.J_cross_section[i][0] = J_cross_section_freq1
stg.J_cross_section[i][1] = J_cross_section_freq2
def compute_alpha_s(self):
data_id = self.combobox_acoustic_data_choice.currentIndex()
freq_1 = self.combobox_freq1.currentIndex()
freq_2 = self.combobox_freq2.currentIndex()
depth_data = stg.depth
if stg.depth_cross_section[data_id].shape != (0,):
depth_data = stg.depth_cross_section
alpha_s_freq1 = self.inv_hc.alpha_s(
sv=stg.sv[0],
j_cross_section=stg.J_cross_section[data_id][0][
stg.sand_sample_target_indice[0][0],
stg.sand_sample_target_indice[0][1]
],
depth=depth_data[data_id][
freq_1, stg.sand_sample_target_indice[0][0]
],
alpha_w=stg.water_attenuation[data_id][freq_1]
)
alpha_s_freq2 = self.inv_hc.alpha_s(
sv=stg.sv[1],
j_cross_section=stg.J_cross_section[data_id][1][
stg.sand_sample_target_indice[1][0],
stg.sand_sample_target_indice[1][1]
],
depth=depth_data[data_id][
freq_2, stg.sand_sample_target_indice[1][0]
],
alpha_w=stg.water_attenuation[data_id][freq_2]
)
stg.alpha_s = [alpha_s_freq1, alpha_s_freq2]
logger.debug(f"\u03B1s for frequency of freq1 : {alpha_s_freq1:.2f} /m \n")
logger.debug(f"\u03B1s for frequency of freq2 : {alpha_s_freq2:.2f} /m")
self.lineEdit_alphas_freq1.clear()
self.lineEdit_alphas_freq1.setText(str("%.5f" % alpha_s_freq1))
self.lineEdit_alphas_freq2.clear()
self.lineEdit_alphas_freq2.setText(str("%.5f" % alpha_s_freq2))
if (alpha_s_freq1 < 0) or (alpha_s_freq2 < 0):
msgBox = QMessageBox()
msgBox.setWindowTitle("Alpha computation error")
msgBox.setIconPixmap(QPixmap(self._path_icon("no_approved.png")).scaledToHeight(32, Qt.SmoothTransformation))
msgBox.setText("Sediment sound attenuation is negative !")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
elif isinf(alpha_s_freq1) or isinf(alpha_s_freq2):
msgBox = QMessageBox()
msgBox.setWindowTitle("Alpha computation error")
msgBox.setIconPixmap(
QPixmap(self._path_icon("no_approved.png")).scaledToHeight(32, Qt.SmoothTransformation))
msgBox.setText("Sediment sound attenuation is infinite !")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
msgBox = QMessageBox()
msgBox.setWindowTitle("Alpha computation validation")
msgBox.setIconPixmap(QPixmap(self._path_icon("approved.png")).scaledToHeight(32, Qt.SmoothTransformation))
msgBox.setText("Sediment sound attenuation is positive.")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
def compute_zeta(self):
# --- Compute zeta ---
if stg.M_profile_fine.shape == (0,):
msgBox = QMessageBox()
msgBox.setWindowTitle("Zeta computation error")
msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Please interpolate fine profile")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
else:
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
zeta_freq1 = self.inv_hc.zeta(alpha_s=stg.alpha_s[0],
r=stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex(), :],
M_profile_fine=stg.M_profile_fine)
zeta_freq2 = self.inv_hc.zeta(alpha_s=stg.alpha_s[1],
r=stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :],
M_profile_fine=stg.M_profile_fine)
else:
zeta_freq1 = self.inv_hc.zeta(alpha_s=stg.alpha_s[0],
r=stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq1.currentIndex(), :],
M_profile_fine=stg.M_profile_fine)
zeta_freq2 = self.inv_hc.zeta(alpha_s=stg.alpha_s[1],
r=stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :],
M_profile_fine=stg.M_profile_fine)
stg.zeta = [zeta_freq1, zeta_freq2]
logger.debug(f"\u03B6 for frequency of freq1 : {zeta_freq1:.3f} /m \n")
logger.debug(f"\u03B6 for frequency of freq2 : {zeta_freq2:.3f} /m")
self.lineEdit_zeta_freq1.clear()
self.lineEdit_zeta_freq1.setText(str("%.5f" % zeta_freq1))
self.lineEdit_zeta_freq2.clear()
self.lineEdit_zeta_freq2.setText(str("%.5f" % zeta_freq2))
def save_calibration(self):
if stg.alpha_s:
dir_save_cal = QFileDialog.getExistingDirectory(
caption="Save calibration",
directory=[stg.path_calibration_file if stg.path_calibration_file else stg.path_BS_raw_data[-1] if self.combobox_acoustic_data_choice.count() > 0 else ""][0],
options=QFileDialog.DontUseNativeDialog)
if dir_save_cal:
stg.path_calibration_file = os.path.dirname(dir_save_cal)
cal_array = [[' ', stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][stg.frequencies_for_calibration[0][1]],
stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][stg.frequencies_for_calibration[1][1]]],
['ks', stg.ks[0], stg.ks[1]],
['sv', stg.sv[0], stg.sv[1]],
['X', stg.X_exponent[0], 0],
['alphas', stg.alpha_s[0], stg.alpha_s[1]],
['zeta', stg.zeta[0], stg.zeta[1]]]
eval("np.savetxt('"+ dir_save_cal + "/Sediment_calibration_" +
str(stg.filename_BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()][:-4]) + ".csv' ," +
"cal_array, " +
"delimiter=',' ," +
"fmt ='% s'" +
")")
else:
msgBox = QMessageBox()
msgBox.setWindowTitle("Save Error")
msgBox.setIcon(QMessageBox.Warning)
msgBox.setText("Please compute calibration before saving")
msgBox.setStandardButtons(QMessageBox.Ok)
msgBox.exec()
# --- Compute FCB ---
# ------------ Computing real cell size ------------ #
def range_cells_function(self):
""" Computing the real cell size, that depends on the temperature """
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
aquascat_cell_size = []
tau = []
real_cell_size = []
stg.depth_real = np.zeros(stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape)
for f in range(stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0]):
# defaut Aquascat cell size
aquascat_cell_size.append(
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, 1] -
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, 0])
# Pulse duration
tau.append(aquascat_cell_size[f] * 2 / 1500) # figure 2.9 1500 vitesse du son entrée pour le paramètrage des mesures aquascat
# Real cell size
real_cell_size.append(stg.water_velocity * tau[f] / 2) # voir fig 2.9
# Converting to real cell profile
stg.depth_real[f, :] = (stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][f, :]
/ aquascat_cell_size[f] * real_cell_size[f])
else:
aquascat_cell_size = []
tau = []
real_cell_size = []
stg.depth_real = (np.zeros(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape))
for f in range(stg.freq[self.combobox_acoustic_data_choice.currentIndex()].shape[0]):
# defaut Aquascat cell size
aquascat_cell_size.append(
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][f, 1] -
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][f, 0])
# Pulse duration
tau.append(aquascat_cell_size[f] * 2 / 1500) # figure 2.9 1500 vitesse du son entrée pour le paramètrage des mesures aquascat
# Real cell size
real_cell_size.append(stg.water_velocity * tau[f] / 2) # voir fig 2.9
# Converting to real cell profile
stg.depth_real[f, :] = (stg.depth[self.combobox_acoustic_data_choice.currentIndex()][f, :] /
aquascat_cell_size[f] * real_cell_size[f])
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.depth_real = \
(np.repeat(stg.depth_real[:, :, np.newaxis],
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=2))
else:
stg.depth_real = (
np.repeat(stg.depth_real[:, :, np.newaxis],
stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1], axis=2))
def compute_FCB(self):
self.combobox_frequency_FCB.clear()
self.combobox_frequency_FCB.addItems(stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()])
self.range_cells_function()
if stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_stream_bed_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_stream_bed_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_stream_bed[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_cross_section_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_cross_section_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_cross_section[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_raw_data_pre_process_average[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_raw_data_pre_process_SNR[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
elif stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.FCB = \
(np.log(stg.BS_raw_data[self.combobox_acoustic_data_choice.currentIndex()]) +
np.log(stg.depth_real) +
2 * stg.water_attenuation[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] *
stg.depth_real)
self.plot_FCB()
def plot_FCB(self):
if stg.FCB.shape != (0,):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.slider_FCB.setMaximum(stg.time_cross_section[
self.combobox_acoustic_data_choice.currentIndex()].shape[1])
else:
self.slider_FCB.setMaximum(stg.time[self.combobox_acoustic_data_choice.currentIndex()].shape[1])
self.slider_FCB.setValue(stg.sand_sample_target_indice[0][1])
self.verticalLayout_groupbox_FCB_plot.removeWidget(self.canvas_FCB)
self.verticalLayout_groupbox_FCB_plot.removeWidget(self.toolbar_FCB)
self.fig_FCB, self.axis_FCB = plt.subplots(nrows=1, ncols=1, layout="constrained")
self.canvas_FCB = FigureCanvas(self.fig_FCB)
self.toolbar_FCB = NavigationToolBar(self.canvas_FCB, self)
self.verticalLayout_groupbox_FCB_plot.addWidget(self.toolbar_FCB)
self.verticalLayout_groupbox_FCB_plot.addWidget(self.canvas_FCB)
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.axis_FCB.plot(
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
stg.FCB[self.combobox_frequency_FCB.currentIndex(), :, self.slider_FCB.value() - 1],
linestyle="solid", linewidth=1, color="k")
else:
self.axis_FCB.plot(
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
stg.FCB[self.combobox_frequency_FCB.currentIndex(), :, self.slider_FCB.value() - 1],
linestyle="solid", linewidth=1, color="k")
self.axis_FCB.text(.95, .05,
stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
fontsize=10, fontweight='bold', fontname="Ubuntu",
fontstyle="normal", c="black", alpha=0.2,
horizontalalignment='right', verticalalignment='bottom',
transform=self.axis_FCB.transAxes)
self.fig_FCB.supxlabel("Depth (m)")
self.fig_FCB.supylabel("FCB")
self.fig_FCB.canvas.draw_idle()
self.slider_FCB.valueChanged.connect(self.update_plot_FCB)
self.combobox_frequency_FCB.currentIndexChanged.connect(self.update_plot_FCB)
def update_plot_FCB(self):
if stg.FCB.shape != (0,):
self.axis_FCB.cla()
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.axis_FCB.plot(
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
stg.FCB[self.combobox_frequency_FCB.currentIndex(), :, self.slider_FCB.value() - 1],
linestyle="solid", linewidth=1, color="k")
else:
self.axis_FCB.plot(
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
stg.FCB[self.combobox_frequency_FCB.currentIndex(), :, self.slider_FCB.value() - 1],
linestyle="solid", linewidth=1, color="k")
self.axis_FCB.text(.95, .05,
stg.freq_text[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()],
fontsize=10, fontweight='bold', fontname="Ubuntu",
fontstyle="normal", c="black", alpha=0.2,
horizontalalignment='right', verticalalignment='bottom',
transform=self.axis_FCB.transAxes)
self.fig_FCB.canvas.draw_idle()
# --- Update red line on acoustic record plot ---
if stg.sand_sample_target_indice:
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.red_line_plot_return.set_data(
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), self.slider_FCB.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()][
self.combobox_freq2.currentIndex(), :])
else:
self.red_line_plot_return.set_data(
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), self.slider_FCB.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()][
self.combobox_freq2.currentIndex(), :])
else:
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.red_line_plot_return.set_data(
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), self.slider_FCB.value() -1] *
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :])
else:
self.red_line_plot_return.set_data(
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), self.slider_FCB.value() -1] *
np.ones(stg.depth[self.combobox_acoustic_data_choice.currentIndex()].shape[1]),
-stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :])
self.fig_BS.canvas.draw_idle()
def fit_FCB_profile_with_linear_regression_and_compute_alphaS(self):
self.update_plot_FCB()
if stg.FCB.shape != (0,):
# --- Identify FCB profile where value are not NaN ---
y0 = stg.FCB[self.combobox_frequency_FCB.currentIndex(), :, self.slider_FCB.value() - 1]
y = y0[np.where(np.isnan(y0) == False)]
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
# --- Select depth corresponding to the FCB profile where value are not NaN ---
x0 = stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), :]
x = x0[np.where(np.isnan(y0) == False)]
# --- Find the indices of the values between which the linear regression is fitted ---
value1 = np.where(np.round(np.abs(x - float(self.lineEdit_FCB_from.text().replace(',','.'))), 2) ==
np.min(np.round(np.abs(x - float(self.lineEdit_FCB_from.text().replace(',','.'))), 2)))[0][0]
value2 = np.where(np.round(np.abs(x - float(self.lineEdit_FCB_to.text().replace(',', '.'))), 2) ==
np.min(np.round(np.abs(x - float(self.lineEdit_FCB_to.text().replace(',', '.'))), 2)))[0][0]
lin_reg_compute = linregress(x[value1:value2], y[value1:value2])
stg.lin_reg.clear()
stg.lin_reg = [lin_reg_compute.slope, lin_reg_compute.intercept]
# --- Plot result of linear regression ---
self.axis_FCB.plot(
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), value1:value2],
stg.lin_reg[0] *
stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), value1:value2] +
stg.lin_reg[1],
linestyle="dashed", linewidth=1, color="b")
else:
# --- Select depth corresponding to the FCB profile where value are not NaN ---
x0 = stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), :]
x = x0[np.where(np.isnan(y0) == False)]
# --- Find the indices of the values between which the linear regression is fitted ---
value1 = np.where(np.round(np.abs(x - float(self.lineEdit_FCB_from.text().replace(',','.'))), 2) ==
np.min(np.round(np.abs(x - float(self.lineEdit_FCB_from.text().replace(',','.'))), 2)))[0][0]
value2 = np.where(np.round(np.abs(x - float(self.lineEdit_FCB_to.text().replace(',', '.'))), 2) ==
np.min(np.round(np.abs(x - float(self.lineEdit_FCB_to.text().replace(',', '.'))), 2)))[0][0]
lin_reg_compute = linregress(x[value1:value2], y[value1:value2])
stg.lin_reg.clear()
stg.lin_reg = [lin_reg_compute.slope, lin_reg_compute.intercept]
# --- Plot result of linear regression ---
self.axis_FCB.plot(
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), value1:value2],
stg.lin_reg[0] *
stg.depth[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), value1:value2] +
stg.lin_reg[1],
linestyle="dashed", linewidth=1, color="b")
self.fig_FCB.canvas.draw_idle()
# --- Display the value of alphaS compute with FCB ---
self.label_alphaS_FCB.clear()
self.label_alphaS_FCB.setText(f"&alpha;<sub>s</sub> = {-0.5*stg.lin_reg[0]:.4f} dB/m")
def slider_profile_number_to_begin_FCB(self):
self.slider_FCB.setValue(int(self.slider_FCB.minimum()))
self.update_lineEdit_by_moving_slider_FCB()
def slider_profile_number_to_right_FCB(self):
self.slider_FCB.setValue(int(self.slider_FCB.value()) + 1)
self.update_lineEdit_by_moving_slider_FCB()
def slider_profile_number_to_left_FCB(self):
self.slider_FCB.setValue(int(self.slider_FCB.value()) - 1)
self.update_lineEdit_by_moving_slider_FCB()
def slider_profile_number_to_end_FCB(self):
self.slider_FCB.setValue(int(self.slider_FCB.maximum()))
self.update_lineEdit_by_moving_slider_FCB()
def profile_number_on_lineEdit_FCB(self):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.slider_FCB.setValue(
int(np.where(
np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] -
float(self.lineEdit_slider_FCB.text().replace(",", "."))) ==
np.nanmin(
np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] -
float(self.lineEdit_slider_FCB.text().replace(",", ".")))))[0][0]))
else:
self.slider_FCB.setValue(
int(np.where(
np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] -
float(self.lineEdit_slider_FCB.text().replace(",", "."))) ==
np.nanmin(
np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex()] -
float(self.lineEdit_slider_FCB.text().replace(",", ".")))))[0][0]))
def update_lineEdit_by_moving_slider_FCB(self):
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
self.lineEdit_slider_FCB.setText(
str(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), self.slider_FCB.value()-1]))
else:
self.lineEdit_slider_FCB.setText(
str(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_frequency_FCB.currentIndex(), self.slider_FCB.value()-1]))
Reference in New Issue View Git Blame Copy Permalink