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Sediment calibration: Refactoring method 'interpolate_Mfine_profile'.

dev-brahim
Pierre-Antoine 2025-03-10 14:23:11 +01:00
parent 6628d610de
commit 8f7e679598
1 changed files with 61 additions and 86 deletions
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147
View/sediment_calibration_tab.py
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@ -21,9 +21,18 @@
# -*- coding: utf-8 -*-
import os
import logging
from scipy.stats import linregress
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pandas as pd
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,
@ -35,18 +44,10 @@ from PyQt5.QtGui import QIcon, QPixmap, QFont
import settings as stg
import numpy as np
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolBar
from matplotlib.colors import LogNorm
from scipy.stats import linregress
from View.checkable_combobox import CheckableComboBox
from Model.acoustic_inversion_method_high_concentration import AcousticInversionMethodHighConcentration
logger = logging.getLogger()
class SedimentCalibrationTab(QWidget):
@ -861,7 +862,6 @@ class SedimentCalibrationTab(QWidget):
self.compute_FCB()
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)
@ -1510,89 +1510,64 @@ class SedimentCalibrationTab(QWidget):
marker="*", mfc="b", mec="b", ms=8, ls="None")
def interpolate_Mfine_profile(self):
data_choice = self.combobox_acoustic_data_choice.currentIndex()
if stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
print("test find indice of time ", np.where( np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- (stg.time_fine[stg.fine_sample_profile[-1][1]])) ==
np.nanmin(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- (stg.time_fine[stg.fine_sample_profile[-1][1]]))) ))
print(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :])
print(stg.time_fine[stg.fine_sample_profile[-1][1]])
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.range_lin_interp, stg.M_profile_fine = (
self.inv_hc.M_profile_SCC_fine_interpolated(
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],
range_cells=stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
r_bottom=stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()]
[
np.where( np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]]) ==
np.nanmin(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]])) )[0][0]
]
)
)
if stg.depth_cross_section[data_choice].shape != (0,):
range_cells = stg.depth_cross_section[data_choice][
self.combobox_freq2.currentIndex(), :
]
if stg.time_cross_section[data_choice].shape != (0,):
time_data = stg.time_cross_section
else:
stg.range_lin_interp, stg.M_profile_fine = (
self.inv_hc.M_profile_SCC_fine_interpolated(
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],
range_cells=stg.depth_cross_section[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
r_bottom=stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()]
[
np.where( np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]]) ==
np.nanmin(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]])) )[0][0]
]
)
)
time_data = stg.time
else:
range_cells=stg.depth[data_choice][
self.combobox_freq2.currentIndex(), :
]
if stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()].shape != (0,):
stg.range_lin_interp, stg.M_profile_fine = (
self.inv_hc.M_profile_SCC_fine_interpolated(
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],
range_cells=stg.depth[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
r_bottom=stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()]
[
np.where(np.abs(stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]]) ==
np.nanmin(np.abs(
stg.time_cross_section[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]])))[0][0]
]
))
if stg.time_cross_section[data_choice].shape != (0,):
time_data = stg.time_cross_sectino
else:
time_data = stg.time
stg.range_lin_interp, stg.M_profile_fine = (
self.inv_hc.M_profile_SCC_fine_interpolated(
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],
range_cells=stg.depth[self.combobox_acoustic_data_choice.currentIndex()][self.combobox_freq2.currentIndex(), :],
r_bottom=stg.depth_bottom[self.combobox_acoustic_data_choice.currentIndex()]
[
np.where(np.abs(stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]]) ==
np.nanmin(np.abs(
stg.time[self.combobox_acoustic_data_choice.currentIndex()][
self.combobox_freq2.currentIndex(), :]
- stg.time_fine[stg.fine_sample_profile[-1][1]])))[0][0]
]
))
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]
]
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