A context menu is added. Update Table for Save action created.
brahim
parent
4d8000993d
commit
825b5aa9bb
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@ -0,0 +1,89 @@
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import numpy as np
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from PyQt5.QtWidgets import QFileDialog, QApplication
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import sqlite3
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import settings as stg
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from os import chdir, getcwd
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import time
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class UpdateTableForSave:
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def __init__(self):
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start = time.time()
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chdir(stg.dirname_save_as)
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print("get cwd for save :", getcwd())
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print("stg.filename_save_as ", stg.filename_save_as)
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self.update_table()
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print(f"end : {time.time() - start} sec")
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def update_table(self):
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# Create a new database and open a database connection to allow sqlite3 to work with it.
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cnx = sqlite3.connect(stg.filename_save_as + '.acd')
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# Create database cursor to execute SQL statements and fetch results from SQL queries.
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cur = cnx.cursor()
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# --------------------------------------------------------------------------------------------------------------
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# --- Table BSRawData_i ---
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start_table_BSRawData = time.time()
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# # --- Fill table BSRawData_i with data stg.depth_reshape ---
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#
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# for i in stg.acoustic_data:
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# exec("query1 = '''ALTER TABLE BSRawData ADD COLUMN BS_cross_section BLOB''' ")
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#
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# exec("cur.execute(query1)")
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#
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# # Commit the transaction after executing INSERT.
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# cnx.commit()
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#
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# for i in stg.acoustic_data:
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# cur.execute(f"''' UPDATE BSRawData SET BS_cross_section = " + str(stg.BS_cross_section[i].tobytes()) + " WHERE acoustic_data =" + str(i) + " ''' ")
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#
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# # Commit the transaction after executing INSERT.
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# cnx.commit()
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#
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# print(f"end : {time.time() - start_table_BSRawData} sec")
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if stg.BS_cross_section:
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cur.execute(''' DROP TABLE BSRawData ''')
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print(f"end : {time.time() - start_table_BSRawData} sec")
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cur.execute('''CREATE TABLE BSRawData(
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ID INTEGER PRIMARY KEY AUTOINCREMENT,
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acoustic_data INTEGER,
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time BLOB,
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time_cross_section BLOB,
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depth BLOB,
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depth_cross_section BLOB,
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BS_raw_data BLOB,
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BS_cross_section BLOB)''')
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for i in stg.acoustic_data:
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cur.execute(''' INSERT into BSRawData(acoustic_data, time, time_cross_section,
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depth, depth_cross_section,
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BS_raw_data, BS_cross_section)
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VALUES(?, ?, ?, ?, ?, ?, ?)''',
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(stg.acoustic_data[i], stg.time[i].tobytes(), stg.time_cross_section[i].tobytes(),
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stg.depth[i].tobytes(), stg.depth_cross_section[i].tobytes(),
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stg.BS_raw_data[i].tobytes(), stg.BS_cross_section[i].tobytes()))
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cnx.commit()
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if stg.depth_bottom:
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pass
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# Close database cursor
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cur.close()
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# Close database connection
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cnx.close()
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@ -954,6 +954,9 @@ class AcousticDataTab(QWidget):
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self.max_selected_file = 1
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# self.btnToggled()
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plt.rcParams['figure.max_open_warning'] = 100
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print("plt.rcParams['figure.max_open_warning'] ", plt.rcParams['figure.max_open_warning'])
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# --------------------------------------------------------------------------------------------------------------
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# --- Connect signal of widget ---
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@ -1689,8 +1692,20 @@ class AcousticDataTab(QWidget):
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self.tableView.setModel(self.tableModel)
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# --- Clear figure area for backscattered acoutsic signal recording ---
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self.canvas_BS.figure.clear()
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self.canvas_plot_profile.figure.clear()
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# self.canvas_BS.figure.clear()
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# self.fig_BS.clf()
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# for ax in range(len(self.axis_BS)):
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# self.axis_BS[ax].cla()
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# print("axis BS : ", self.axis_BS)
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# # self.axis_BS.tolist().clear()
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# # print("clear axis BS : ", self.axis_BS)
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#
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# self.canvas_plot_profile.figure.clear()
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# print("0 fig profile : ", self.fig_profile)
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# self.fig_profile.delaxes(self.axis_profile)
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# print("1 fig profile : ", self.fig_profile)
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# # self.axis_profile.clear()
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self.combobox_frequency_profile.clear()
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# self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.removeWidget(self.scroll_BS)
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# self.canvas_BS = FigureCanvas()
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@ -1707,6 +1722,15 @@ class AcousticDataTab(QWidget):
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# self.canvas_plot_profile = FigureCanvas()
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# self.verticalLayout_groupbox_plot_profile.addWidget(self.canvas_plot_profile)
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self.canvas_BS.figure.clear()
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self.fig_BS.clf()
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print("axis BS : ", self.axis_BS)
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self.axis_BS.tolist().clear()
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print("clear axis BS : ", self.axis_BS)
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self.canvas_plot_profile.figure.clear()
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self.fig_profile.clear()
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self.axis_profile.clear()
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self.slider.setValue(0)
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self.slider.setMaximum(10)
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@ -1918,8 +1942,11 @@ class AcousticDataTab(QWidget):
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# self.label_tx.setText(
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# _translate("CONSTANT_STRING", cs.GAIN_TX) + ": " + ', '.join(map(str, stg.gain_tx[self.fileListWidget.currentRow()])))
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print("self.fileListWidget.count() ", self.fileListWidget.currentRow())
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if self.fileListWidget.count() > 0:
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print("self.fileListWidget.currentItem() ", self.fileListWidget.currentItem())
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print("self.fileListWidget.currentRow ", self.fileListWidget.currentRow())
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print("self.fileListWidget.count() ", self.fileListWidget.count())
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if self.fileListWidget.currentRow() != -1:
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self.label_date_acoustic_file.clear()
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self.label_date_acoustic_file.setText("Date: " + str(stg.date[self.fileListWidget.currentRow()]))
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@ -2156,34 +2183,35 @@ class AcousticDataTab(QWidget):
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def fill_table(self):
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if self.fileListWidget.count() == 1:
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if self.fileListWidget.currentRow() != -1:
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header_list = []
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for freq_ind, freq_value in enumerate(stg.freq_text[0]):
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header_list.append("Time - " + freq_value)
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header_list.append("Depth - " + freq_value)
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header_list.append("BS - " + freq_value)
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if freq_ind == 0:
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table_data = np.vstack((np.vstack((stg.time_reshape[0][:, freq_ind],
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stg.depth_reshape[0][:, freq_ind])),
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stg.BS_raw_data_reshape[0][:, freq_ind]))
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else:
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table_data = np.vstack((table_data,
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np.vstack((np.vstack((stg.time_reshape[0][:, freq_ind],
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stg.depth_reshape[0][:, freq_ind])),
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stg.BS_raw_data_reshape[0][:, freq_ind]))
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))
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print(header_list)
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print(table_data.shape)
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stg.DataFrame_acoustic = pd.DataFrame(data=table_data.transpose(), columns=header_list)
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else:
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# header_list = []
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# for freq_ind, freq_value in enumerate(stg.freq_text[0]):
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# header_list.append("Time - " + freq_value)
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# header_list.append("Depth - " + freq_value)
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# header_list.append("BS - " + freq_value)
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#
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# if freq_ind == 0:
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# table_data = np.vstack((np.vstack((stg.time_reshape[0][:, freq_ind],
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# stg.depth_reshape[0][:, freq_ind])),
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# stg.BS_raw_data_reshape[0][:, freq_ind]))
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# else:
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# table_data = np.vstack((table_data,
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# np.vstack((np.vstack((stg.time_reshape[0][:, freq_ind],
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# stg.depth_reshape[0][:, freq_ind])),
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# stg.BS_raw_data_reshape[0][:, freq_ind]))
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# ))
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#
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# print("1 header_list ", header_list)
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# print("1 table_data.shape ", table_data.shape)
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#
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# stg.DataFrame_acoustic = pd.DataFrame(data=table_data.transpose(), columns=header_list)
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#
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# else:
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header_list = []
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header_list.clear()
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table_data = np.array([[]])
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for freq_ind, freq_value in enumerate(stg.freq_text[0]):
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header_list.append("Time - " + freq_value)
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header_list.append("Depth - " + freq_value)
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@ -2201,10 +2229,11 @@ class AcousticDataTab(QWidget):
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stg.BS_raw_data_reshape[self.fileListWidget.currentRow()][:, freq_ind]))
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))
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stg.DataFrame_acoustic = pd.DataFrame(None)
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stg.DataFrame_acoustic = pd.DataFrame(data=table_data.transpose(), columns=header_list)
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print(header_list)
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print(table_data.shape)
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print("2 header_list ", header_list)
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print("2 table_data.shape", table_data.shape)
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# stg.DataFrame_acoustic = (
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# pd.DataFrame(np.concatenate((stg.time_reshape[self.fileListWidget.currentRow()],
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# stg.BS_raw_data_reshape[self.fileListWidget.currentRow()]), axis=1),
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@ -2284,114 +2313,116 @@ class AcousticDataTab(QWidget):
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# self.groupbox_xaxis_space.setDisabled(True)
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def compute_time(self):
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if ((self.fileListWidget.count() == 1) and (len(stg.tmax) == 0)):
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if self.fileListWidget.currentRow() != -1:
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print("Config 1 : time")
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if ((self.fileListWidget.count() == 1) and (len(stg.tmax) == 0)):
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# --- tmim / tmax ---
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tmin_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmin_value = np.round(np.nanmin(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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stg.tmin = [(tmin_indice, tmin_value)]
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print("Config 1 : time")
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tmax_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmax_value = np.round(np.nanmax(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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stg.tmax = [(tmax_indice+1, tmax_value)]
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# --- tmim / tmax ---
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tmin_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmin_value = np.round(np.nanmin(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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stg.tmin = [(tmin_indice, tmin_value)]
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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tmax_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmax_value = np.round(np.nanmax(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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stg.tmax = [(tmax_indice+1, tmax_value)]
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# --- time_cross_section ---
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stg.time_cross_section = [stg.time[self.fileListWidget.currentRow()][:,
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stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
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print(f"t = {stg.time_cross_section}")
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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# --- spinbox tmin / tmax ---
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# self.spinbox_tmin.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
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# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
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# --- time_cross_section ---
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stg.time_cross_section = [stg.time[self.fileListWidget.currentRow()][:,
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stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
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print(f"t = {stg.time_cross_section}")
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# self.doubleRangeSlider_recording_time.update()
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# self.doubleRangeSlider_recording_time.setValue((0, 500))
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# (stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
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# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]))
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# --- spinbox tmin / tmax ---
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# self.spinbox_tmin.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
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# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
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# self.doubleRangeSlider_recording_time.update()
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# self.doubleRangeSlider_recording_time.setValue((0, 500))
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# (stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
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# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]))
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print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
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print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
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elif len(stg.tmax) < self.fileListWidget.count():
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elif len(stg.tmax) < self.fileListWidget.count():
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print("Config 2 : time")
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print("Config 2 : time")
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# --- tmim / tmax ---
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tmin_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmin_value = np.round(np.nanmin(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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print(f" tmin_indice = {tmin_indice} , tmin_value = {tmin_value}")
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# --- tmim / tmax ---
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tmin_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmin(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmin_value = np.round(np.nanmin(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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print(f" tmin_indice = {tmin_indice} , tmin_value = {tmin_value}")
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tmax_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmax_value = np.round(np.nanmax(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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print(f" tmax_indice = {tmax_indice} , tmax_value = {tmax_value}")
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tmax_indice = np.where(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :])) ==
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np.nanmin(np.abs(stg.time[self.fileListWidget.currentRow()][0, :] - np.nanmax(
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stg.time[self.fileListWidget.currentRow()][0, :]))))[0][0]
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tmax_value = np.round(np.nanmax(stg.time[self.fileListWidget.currentRow()][0, :]), 2)
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print(f" tmax_indice = {tmax_indice} , tmax_value = {tmax_value}")
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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stg.tmin.append((tmin_indice, tmin_value))
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stg.tmax.append((tmax_indice+1, tmax_value))
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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stg.tmin.append((tmin_indice, tmin_value))
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stg.tmax.append((tmax_indice+1, tmax_value))
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print(f" tmin = {stg.tmin} , tmax = {stg.tmax}")
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# --- time_cross_section ---
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stg.time_cross_section = stg.time_cross_section + [stg.time[self.fileListWidget.currentRow()][:,
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stg.tmin[self.fileListWidget.currentRow()][0]:
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stg.tmax[self.fileListWidget.currentRow()][0]]]
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# --- time_cross_section ---
|
||||
stg.time_cross_section = stg.time_cross_section + [stg.time[self.fileListWidget.currentRow()][:,
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:
|
||||
stg.tmax[self.fileListWidget.currentRow()][0]]]
|
||||
|
||||
# --- spinbox tmin / tmax ---
|
||||
# self.spinbox_tmin.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
|
||||
# --- spinbox tmin / tmax ---
|
||||
# self.spinbox_tmin.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
|
||||
|
||||
# self.doubleRangeSlider_recording_time.setValue(value=(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]))
|
||||
# self.doubleRangeSlider_recording_time.setValue(value=(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]))
|
||||
|
||||
print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
|
||||
print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
|
||||
|
||||
else:
|
||||
print("-----------------")
|
||||
print("Config 3 : time")
|
||||
print("-----------------")
|
||||
else:
|
||||
print("-----------------")
|
||||
print("Config 3 : time")
|
||||
print("-----------------")
|
||||
|
||||
self.set_range_for_doubleRangeSlider_time()
|
||||
self.set_range_for_doubleRangeSlider_time()
|
||||
|
||||
# --- spinbox tmin / tmax ---
|
||||
# self.spinbox_tmin.setValue(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
|
||||
# --- spinbox tmin / tmax ---
|
||||
# self.spinbox_tmin.setValue(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# self.spinbox_tmax.setValue(stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmax[self.fileListWidget.currentRow()][0]-1])
|
||||
|
||||
# print("tmin = ", stg.tmin)
|
||||
# print("tmax = ", stg.tmax)
|
||||
# print("list Widget : ", self.fileListWidget.currentRow())
|
||||
# print("stg.tmin[self.fileListWidget.currentRow()][0] ", stg.tmin[self.fileListWidget.currentRow()][0])
|
||||
# print("stg.tmax[self.fileListWidget.currentRow()][0] - 1 ", stg.tmax[self.fileListWidget.currentRow()][0]-1)
|
||||
#
|
||||
# print("time_cross_section min ", stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# print("time_cross_section max ", stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmax[self.fileListWidget.currentRow()][0]])
|
||||
# # self.doubleRangeSlider_recording_time.setValue(value=(stg.tmin[self.fileListWidget.currentRow()][1], stg.tmax[self.fileListWidget.currentRow()][1]))
|
||||
#
|
||||
# self.doubleRangeSlider_recording_time.setValue(value=(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]
|
||||
# ))
|
||||
#
|
||||
# print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
|
||||
# print("tmin = ", stg.tmin)
|
||||
# print("tmax = ", stg.tmax)
|
||||
# print("list Widget : ", self.fileListWidget.currentRow())
|
||||
# print("stg.tmin[self.fileListWidget.currentRow()][0] ", stg.tmin[self.fileListWidget.currentRow()][0])
|
||||
# print("stg.tmax[self.fileListWidget.currentRow()][0] - 1 ", stg.tmax[self.fileListWidget.currentRow()][0]-1)
|
||||
#
|
||||
# print("time_cross_section min ", stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmin[self.fileListWidget.currentRow()][0]])
|
||||
# print("time_cross_section max ", stg.time_cross_section[self.fileListWidget.currentRow()][
|
||||
# 0, stg.tmax[self.fileListWidget.currentRow()][0]])
|
||||
# # self.doubleRangeSlider_recording_time.setValue(value=(stg.tmin[self.fileListWidget.currentRow()][1], stg.tmax[self.fileListWidget.currentRow()][1]))
|
||||
#
|
||||
# self.doubleRangeSlider_recording_time.setValue(value=(
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmin[self.fileListWidget.currentRow()][0]],
|
||||
# stg.time_cross_section[self.fileListWidget.currentRow()][0, stg.tmax[self.fileListWidget.currentRow()][0]-1]
|
||||
# ))
|
||||
#
|
||||
# print("self.doubleRangeSlider_recording_time ", self.doubleRangeSlider_recording_time.value())
|
||||
|
||||
def set_range_for_doubleRangeSlider_time(self):
|
||||
|
||||
|
|
@ -2441,63 +2472,65 @@ class AcousticDataTab(QWidget):
|
|||
# )
|
||||
|
||||
def compute_depth(self):
|
||||
if ((self.fileListWidget.count() == 1) and (len(stg.rmax) == 0)):
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
|
||||
# --- rmim / rmax ---
|
||||
rmin_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmin_value = np.round(np.nanmin(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
stg.rmin = [(rmin_indice, rmin_value)]
|
||||
if ((self.fileListWidget.count() == 1) and (len(stg.rmax) == 0)):
|
||||
|
||||
rmax_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmax_value = np.round(np.nanmax(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
stg.rmax = [(rmax_indice+1, rmax_value)]
|
||||
# --- rmim / rmax ---
|
||||
rmin_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmin_value = np.round(np.nanmin(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
stg.rmin = [(rmin_indice, rmin_value)]
|
||||
|
||||
# --- depth_cross_section ---
|
||||
stg.depth_cross_section = [stg.depth[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:
|
||||
stg.rmax[self.fileListWidget.currentRow()][0]]]
|
||||
print("Config 1 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
rmax_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmax_value = np.round(np.nanmax(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
stg.rmax = [(rmax_indice+1, rmax_value)]
|
||||
|
||||
elif len(stg.rmax) < self.fileListWidget.count():
|
||||
# --- depth_cross_section ---
|
||||
stg.depth_cross_section = [stg.depth[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:
|
||||
stg.rmax[self.fileListWidget.currentRow()][0]]]
|
||||
print("Config 1 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
|
||||
# --- rmim / rmax ---
|
||||
rmin_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmin_value = np.round(np.nanmin(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
elif len(stg.rmax) < self.fileListWidget.count():
|
||||
|
||||
rmax_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmax_value = np.round(np.nanmax(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
# --- rmim / rmax ---
|
||||
rmin_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmin(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmin_value = np.round(np.nanmin(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
|
||||
stg.rmin.append((rmin_indice, rmin_value))
|
||||
stg.rmax.append((rmax_indice+1, rmax_value))
|
||||
rmax_indice = np.where(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :])) ==
|
||||
np.nanmin(np.abs(stg.depth[self.fileListWidget.currentRow()][0, :] - np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][0, :]))))[0][0]
|
||||
rmax_value = np.round(np.nanmax(stg.depth[self.fileListWidget.currentRow()][0, :]), 2)
|
||||
|
||||
# --- depth_cross_section ---
|
||||
stg.depth_cross_section = stg.depth_cross_section + [stg.depth[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:
|
||||
stg.rmax[self.fileListWidget.currentRow()][0]]]
|
||||
print("Config 2 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
stg.rmin.append((rmin_indice, rmin_value))
|
||||
stg.rmax.append((rmax_indice+1, rmax_value))
|
||||
|
||||
else:
|
||||
# --- depth_cross_section ---
|
||||
stg.depth_cross_section = stg.depth_cross_section + [stg.depth[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:
|
||||
stg.rmax[self.fileListWidget.currentRow()][0]]]
|
||||
print("Config 2 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
|
||||
self.set_range_for_doubleRangeSlider_depth()
|
||||
print("Config 3 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
else:
|
||||
|
||||
self.set_range_for_doubleRangeSlider_depth()
|
||||
print("Config 3 : depth")
|
||||
print("rmin ", stg.rmin)
|
||||
print("rmax ", stg.rmax)
|
||||
|
||||
def set_range_for_doubleRangeSlider_depth(self):
|
||||
self.doubleRangeSlider_depth.setRange(min=-stg.depth[self.fileListWidget.currentRow()][0, -1],
|
||||
|
|
@ -2536,46 +2569,50 @@ class AcousticDataTab(QWidget):
|
|||
print("rmax ", stg.rmax)
|
||||
|
||||
def compute_BS_cross_section(self):
|
||||
if (self.fileListWidget.count() == 1) and (len(stg.BS_cross_section) == 0):
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
|
||||
print("Config 1 : BS_cross_section")
|
||||
if (self.fileListWidget.count() == 1) and (len(stg.BS_cross_section) == 0):
|
||||
|
||||
stg.BS_cross_section = [stg.BS_raw_data[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
|
||||
print("Config 1 : BS_cross_section")
|
||||
|
||||
elif len(stg.BS_cross_section) < self.fileListWidget.count():
|
||||
stg.BS_cross_section = [stg.BS_raw_data[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
|
||||
|
||||
print("Config 2 : BS_cross_section")
|
||||
print("tmin for cross section ", stg.tmin)
|
||||
stg.BS_cross_section = stg.BS_cross_section + [stg.BS_raw_data[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
|
||||
elif len(stg.BS_cross_section) < self.fileListWidget.count():
|
||||
|
||||
else:
|
||||
print("Config 2 : BS_cross_section")
|
||||
print("tmin for cross section ", stg.tmin)
|
||||
stg.BS_cross_section = stg.BS_cross_section + [stg.BS_raw_data[self.fileListWidget.currentRow()][:,
|
||||
stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]]]
|
||||
|
||||
print("Config 3 : BS_cross_section")
|
||||
else:
|
||||
|
||||
stg.BS_cross_section[self.fileListWidget.currentRow()] = (
|
||||
stg.BS_raw_data[self.fileListWidget.currentRow()]
|
||||
[:, stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]])
|
||||
print("Config 3 : BS_cross_section")
|
||||
|
||||
print(f"BS_cross_section : {len(stg.BS_cross_section)}")
|
||||
print(f"BS_cross_section shape : {stg.BS_cross_section[self.fileListWidget.currentRow()].shape}")
|
||||
stg.BS_cross_section[self.fileListWidget.currentRow()] = (
|
||||
stg.BS_raw_data[self.fileListWidget.currentRow()]
|
||||
[:, stg.rmin[self.fileListWidget.currentRow()][0]:stg.rmax[self.fileListWidget.currentRow()][0],
|
||||
stg.tmin[self.fileListWidget.currentRow()][0]:stg.tmax[self.fileListWidget.currentRow()][0]])
|
||||
|
||||
print(f"BS_cross_section : {len(stg.BS_cross_section)}")
|
||||
print(f"BS_cross_section shape : {stg.BS_cross_section[self.fileListWidget.currentRow()].shape}")
|
||||
|
||||
def update_frequency_combobox(self):
|
||||
self.combobox_frequency_bathymetry.clear()
|
||||
self.combobox_frequency_bathymetry.addItems([f for f in stg.freq_text[self.fileListWidget.currentRow()]])
|
||||
self.combobox_frequency_profile.clear()
|
||||
self.combobox_frequency_profile.addItems([f for f in stg.freq_text[self.fileListWidget.currentRow()]])
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
self.combobox_frequency_bathymetry.clear()
|
||||
self.combobox_frequency_bathymetry.addItems([f for f in stg.freq_text[self.fileListWidget.currentRow()]])
|
||||
self.combobox_frequency_profile.clear()
|
||||
self.combobox_frequency_profile.addItems([f for f in stg.freq_text[self.fileListWidget.currentRow()]])
|
||||
|
||||
def set_range_for_doubleRangeSlider_intg_area(self):
|
||||
self.doubleRangeSlider_intg_area.setRange(min=-stg.depth_cross_section[self.fileListWidget.currentRow()][0, -1],
|
||||
max=-stg.depth_cross_section[self.fileListWidget.currentRow()][0, 0])
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
self.doubleRangeSlider_intg_area.setRange(min=-stg.depth_cross_section[self.fileListWidget.currentRow()][0, -1],
|
||||
max=-stg.depth_cross_section[self.fileListWidget.currentRow()][0, 0])
|
||||
|
||||
self.doubleRangeSlider_intg_area.setValue(value=(-stg.depth_cross_section[self.fileListWidget.currentRow()][0, -1],
|
||||
-stg.depth_cross_section[self.fileListWidget.currentRow()][0, 0]))
|
||||
self.doubleRangeSlider_intg_area.setValue(value=(-stg.depth_cross_section[self.fileListWidget.currentRow()][0, -1],
|
||||
-stg.depth_cross_section[self.fileListWidget.currentRow()][0, 0]))
|
||||
|
||||
def plot_backscattered_acoustic_signal_recording(self):
|
||||
# --- Condition if table is not filled ---
|
||||
|
|
@ -2611,64 +2648,67 @@ class AcousticDataTab(QWidget):
|
|||
# self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.addWidget(self.scroll_BS)
|
||||
|
||||
# plt.close(self.fig_BS)
|
||||
self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.removeWidget(self.scroll_BS)
|
||||
|
||||
self.fig_BS, self.axis_BS = plt.subplots(nrows=stg.freq[self.fileListWidget.currentRow()].shape[0], ncols=1,
|
||||
sharex=True, sharey=False, layout="constrained")
|
||||
self.canvas_BS = FigureCanvas(self.fig_BS)
|
||||
# self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.addWidget(self.canvas_BS)
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
|
||||
# self.scroll_BS = QScrollArea()
|
||||
self.scroll_BS.setWidget(self.canvas_BS)
|
||||
# self.scroll_BS.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
|
||||
# self.scroll_BS.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOn)
|
||||
# # self.scroll_BS.setWidgetResizable(True)
|
||||
# self.scroll_BS.setAlignment(Qt.AlignCenter)
|
||||
self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.addWidget(self.scroll_BS)
|
||||
self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.removeWidget(self.scroll_BS)
|
||||
|
||||
for f, _ in enumerate(stg.freq[self.fileListWidget.currentRow()]):
|
||||
self.fig_BS, self.axis_BS = plt.subplots(nrows=stg.freq[self.fileListWidget.currentRow()].shape[0], ncols=1,
|
||||
sharex=True, sharey=False, layout="constrained")
|
||||
self.canvas_BS = FigureCanvas(self.fig_BS)
|
||||
# self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.addWidget(self.canvas_BS)
|
||||
|
||||
val_min = np.nanmin(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :])
|
||||
val_max = np.nanmax(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :])
|
||||
if val_min == 0:
|
||||
val_min = 1e-5
|
||||
# self.scroll_BS = QScrollArea()
|
||||
self.scroll_BS.setWidget(self.canvas_BS)
|
||||
# self.scroll_BS.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
|
||||
# self.scroll_BS.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOn)
|
||||
# # self.scroll_BS.setWidgetResizable(True)
|
||||
# self.scroll_BS.setAlignment(Qt.AlignCenter)
|
||||
self.verticalLayout_groupbox_transect_2Dplot_raw_BS_data.addWidget(self.scroll_BS)
|
||||
|
||||
# print(f"freq = {f}")
|
||||
for f, _ in enumerate(stg.freq[self.fileListWidget.currentRow()]):
|
||||
|
||||
if self.combobox_ABS_system_choice.currentIndex() == 1:
|
||||
pcm = self.axis_BS[f].pcolormesh(stg.time[self.fileListWidget.currentRow()][f, :],
|
||||
-stg.depth[self.fileListWidget.currentRow()][f, :],
|
||||
stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :],
|
||||
# stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, int(stg.tmin[self.fileListWidget.currentRow()]):int(stg.tmax[self.fileListWidget.currentRow()])],
|
||||
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
|
||||
val_min = np.nanmin(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :])
|
||||
val_max = np.nanmax(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :])
|
||||
if val_min == 0:
|
||||
val_min = 1e-5
|
||||
|
||||
elif self.combobox_ABS_system_choice.currentIndex() == 2:
|
||||
pcm = self.axis_BS[f].pcolormesh(stg.time[self.fileListWidget.currentRow()][f, :],
|
||||
-stg.depth[self.fileListWidget.currentRow()][f, :],
|
||||
np.log(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :]),
|
||||
# np.log(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, int(stg.tmin[self.fileListWidget.currentRow()]):int(stg.tmax[self.fileListWidget.currentRow()])]),
|
||||
cmap='Blues')
|
||||
self.axis_BS[f].text(1, .70, stg.freq_text[self.fileListWidget.currentRow()][f],
|
||||
fontsize=14, fontweight='bold', fontname="Ubuntu", c="black", alpha=0.5,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_BS[f].transAxes)
|
||||
# print(f"freq = {f}")
|
||||
|
||||
# --- Plot red solid line on transect to visualize position of plotted profile ---
|
||||
# print("on the 2D field ", self.combobox_freq_choice.currentIndex())
|
||||
self.axis_BS[self.combobox_frequency_profile.currentIndex()].plot(
|
||||
stg.time[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
self.slider.value() - 1] * np.ones(stg.depth[self.fileListWidget.currentRow()].shape[1]),
|
||||
-stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(), :],
|
||||
color='red', linestyle="solid", linewidth=2)
|
||||
if self.combobox_ABS_system_choice.currentIndex() == 1:
|
||||
pcm = self.axis_BS[f].pcolormesh(stg.time[self.fileListWidget.currentRow()][f, :],
|
||||
-stg.depth[self.fileListWidget.currentRow()][f, :],
|
||||
stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :],
|
||||
# stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, int(stg.tmin[self.fileListWidget.currentRow()]):int(stg.tmax[self.fileListWidget.currentRow()])],
|
||||
cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
|
||||
|
||||
self.fig_BS.supxlabel('Time (sec)', fontsize=10)
|
||||
self.fig_BS.supylabel('Depth (m)', fontsize=10)
|
||||
cbar = self.fig_BS.colorbar(pcm, ax=self.axis_BS[:], shrink=1, location='right')
|
||||
cbar.set_label(label='Acoustic backscatter signal (V)', rotation=270, labelpad=10)
|
||||
self.fig_BS.canvas.draw_idle()
|
||||
# plt.close(self.fig_BS)
|
||||
elif self.combobox_ABS_system_choice.currentIndex() == 2:
|
||||
pcm = self.axis_BS[f].pcolormesh(stg.time[self.fileListWidget.currentRow()][f, :],
|
||||
-stg.depth[self.fileListWidget.currentRow()][f, :],
|
||||
np.log(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, :]),
|
||||
# np.log(stg.BS_raw_data[self.fileListWidget.currentRow()][f, :, int(stg.tmin[self.fileListWidget.currentRow()]):int(stg.tmax[self.fileListWidget.currentRow()])]),
|
||||
cmap='Blues')
|
||||
self.axis_BS[f].text(1, .70, stg.freq_text[self.fileListWidget.currentRow()][f],
|
||||
fontsize=14, fontweight='bold', fontname="Ubuntu", c="black", alpha=0.5,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_BS[f].transAxes)
|
||||
|
||||
# self.plot_profile()
|
||||
# --- Plot red solid line on transect to visualize position of plotted profile ---
|
||||
# print("on the 2D field ", self.combobox_freq_choice.currentIndex())
|
||||
self.axis_BS[self.combobox_frequency_profile.currentIndex()].plot(
|
||||
stg.time[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
self.slider.value() - 1] * np.ones(stg.depth[self.fileListWidget.currentRow()].shape[1]),
|
||||
-stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(), :],
|
||||
color='red', linestyle="solid", linewidth=2)
|
||||
|
||||
self.fig_BS.supxlabel('Time (sec)', fontsize=10)
|
||||
self.fig_BS.supylabel('Depth (m)', fontsize=10)
|
||||
cbar = self.fig_BS.colorbar(pcm, ax=self.axis_BS[:], shrink=1, location='right')
|
||||
cbar.set_label(label='Acoustic backscatter signal (V)', rotation=270, labelpad=10)
|
||||
self.fig_BS.canvas.draw_idle()
|
||||
# plt.close(self.fig_BS)
|
||||
|
||||
# self.plot_profile()
|
||||
|
||||
def update_plot_backscattered_acoustic_signal_recording(self):
|
||||
|
||||
|
|
@ -2872,8 +2912,8 @@ class AcousticDataTab(QWidget):
|
|||
if (len(stg.depth_bottom) != 0) and (len(stg.depth_bottom) == self.fileListWidget.count()):
|
||||
if stg.depth_bottom[self.fileListWidget.currentRow()].shape != (0,):
|
||||
|
||||
print("stg.depth_bottom ", stg.depth_bottom)
|
||||
print("len(stg.depth_bottom) ", len(stg.depth_bottom))
|
||||
# print("stg.depth_bottom ", stg.depth_bottom)
|
||||
# print("len(stg.depth_bottom) ", len(stg.depth_bottom))
|
||||
self.axis_BS[f].plot(stg.time_cross_section[self.fileListWidget.currentRow()][self.combobox_frequency_bathymetry.currentIndex(), :],
|
||||
-stg.depth_bottom[self.fileListWidget.currentRow()],
|
||||
color='black', linewidth=1, linestyle="solid")
|
||||
|
|
@ -2899,79 +2939,80 @@ class AcousticDataTab(QWidget):
|
|||
# plt.close(self.fig_BS)
|
||||
|
||||
def plot_profile(self):
|
||||
if self.fileListWidget.currentRow() != -1:
|
||||
|
||||
self.combobox_frequency_profile.setCurrentIndex(0)
|
||||
self.combobox_frequency_profile.setCurrentIndex(0)
|
||||
|
||||
self.combobox_frequency_profile.currentIndexChanged.connect(self.update_plot_profile)
|
||||
self.combobox_frequency_profile.currentIndexChanged.connect(
|
||||
self.update_plot_backscattered_acoustic_signal_recording)
|
||||
self.combobox_frequency_profile.currentIndexChanged.connect(self.update_plot_profile)
|
||||
self.combobox_frequency_profile.currentIndexChanged.connect(
|
||||
self.update_plot_backscattered_acoustic_signal_recording)
|
||||
|
||||
# self.slider.setMaximum(stg.BS_raw_data[self.fileListWidget.currentRow()].shape[2])
|
||||
self.slider.setMaximum(stg.time_cross_section[self.fileListWidget.currentRow()].shape[1])
|
||||
# self.slider.setMaximum(stg.BS_raw_data[self.fileListWidget.currentRow()].shape[2])
|
||||
self.slider.setMaximum(stg.time_cross_section[self.fileListWidget.currentRow()].shape[1])
|
||||
|
||||
self.verticalLayout_groupbox_plot_profile.removeWidget(self.canvas_plot_profile)
|
||||
self.verticalLayout_groupbox_plot_profile.removeWidget(self.canvas_plot_profile)
|
||||
|
||||
# --- Figure to plot profiles ---
|
||||
self.fig_profile, self.axis_profile = plt.subplots(nrows=1, ncols=1, layout="constrained")
|
||||
self.canvas_plot_profile = FigureCanvas(self.fig_profile)
|
||||
self.verticalLayout_groupbox_plot_profile.addWidget(self.canvas_plot_profile)
|
||||
# --- Figure to plot profiles ---
|
||||
self.fig_profile, self.axis_profile = plt.subplots(nrows=1, ncols=1, layout="constrained")
|
||||
self.canvas_plot_profile = FigureCanvas(self.fig_profile)
|
||||
self.verticalLayout_groupbox_plot_profile.addWidget(self.canvas_plot_profile)
|
||||
|
||||
# for f, _ in enumerate(stg.freq[0]):
|
||||
# for f, _ in enumerate(stg.freq[0]):
|
||||
|
||||
slider_value = [
|
||||
self.slider.value() - 1 if self.slider.value() - 1 <= stg.time_cross_section[self.fileListWidget.currentRow()].shape[
|
||||
1] - 1 else np.max(stg.time_cross_section[self.fileListWidget.currentRow()].shape[1] - 1)][0]
|
||||
slider_value = [
|
||||
self.slider.value() - 1 if self.slider.value() - 1 <= stg.time_cross_section[self.fileListWidget.currentRow()].shape[
|
||||
1] - 1 else np.max(stg.time_cross_section[self.fileListWidget.currentRow()].shape[1] - 1)][0]
|
||||
|
||||
# --- Profile plot ---
|
||||
# self.axis_profile.cla()
|
||||
self.axis_profile.plot(stg.BS_cross_section[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
|
||||
-stg.depth_cross_section[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(), :],
|
||||
linestyle='solid', color='k', linewidth=1)
|
||||
self.axis_profile.text(.95, .05, stg.freq_text[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex()],
|
||||
fontsize=10, fontweight='bold', fontname="Ubuntu",
|
||||
fontstyle="normal", c="black", alpha=0.2,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_profile.transAxes)
|
||||
# --- Profile plot ---
|
||||
# self.axis_profile.cla()
|
||||
self.axis_profile.plot(stg.BS_cross_section[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(), :, self.slider.value() - 1],
|
||||
-stg.depth_cross_section[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(), :],
|
||||
linestyle='solid', color='k', linewidth=1)
|
||||
self.axis_profile.text(.95, .05, stg.freq_text[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex()],
|
||||
fontsize=10, fontweight='bold', fontname="Ubuntu",
|
||||
fontstyle="normal", c="black", alpha=0.2,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_profile.transAxes)
|
||||
|
||||
# --- Plot bottom line ---
|
||||
# --- Plot bottom line ---
|
||||
|
||||
if (len(stg.depth_bottom) != 0) and (len(stg.depth_bottom) == self.fileListWidget.count()):
|
||||
if stg.depth_bottom[self.fileListWidget.currentRow()].shape != (0,):
|
||||
if (len(stg.depth_bottom) != 0) and (len(stg.depth_bottom) == self.fileListWidget.count()):
|
||||
if stg.depth_bottom[self.fileListWidget.currentRow()].shape != (0,):
|
||||
|
||||
self.axis_profile.plot([0,
|
||||
np.nanmax(stg.BS_cross_section[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(),
|
||||
:, slider_value])],
|
||||
-stg.depth[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(),
|
||||
stg.ind_bottom[self.fileListWidget.currentRow()][slider_value]] * np.ones(2),
|
||||
linestyle='solid', color='r', linewidth=1)
|
||||
self.axis_profile.plot([0,
|
||||
np.nanmax(stg.BS_cross_section[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(),
|
||||
:, slider_value])],
|
||||
-stg.depth[self.fileListWidget.currentRow()][
|
||||
self.combobox_frequency_profile.currentIndex(),
|
||||
stg.ind_bottom[self.fileListWidget.currentRow()][slider_value]] * np.ones(2),
|
||||
linestyle='solid', color='r', linewidth=1)
|
||||
|
||||
position_x = (stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
stg.ind_bottom[self.fileListWidget.currentRow()][slider_value]] /
|
||||
np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
:]))
|
||||
position_x = (stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
stg.ind_bottom[self.fileListWidget.currentRow()][slider_value]] /
|
||||
np.nanmax(
|
||||
stg.depth[self.fileListWidget.currentRow()][self.combobox_frequency_profile.currentIndex(),
|
||||
:]))
|
||||
|
||||
self.axis_profile.text(.95, 1 - position_x + 0.05, "River bed",
|
||||
fontsize=10, fontweight='normal', fontname="Times New Roman",
|
||||
fontstyle="italic", c="red", alpha=0.2,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_profile.transAxes)
|
||||
self.axis_profile.text(.95, 1 - position_x + 0.05, "River bed",
|
||||
fontsize=10, fontweight='normal', fontname="Times New Roman",
|
||||
fontstyle="italic", c="red", alpha=0.2,
|
||||
horizontalalignment='right', verticalalignment='bottom',
|
||||
transform=self.axis_profile.transAxes)
|
||||
|
||||
self.fig_profile.supxlabel("Acoustic Backscatter Signal (V)")
|
||||
self.fig_profile.supylabel("Depth (m)")
|
||||
self.fig_profile.supxlabel("Acoustic Backscatter Signal (V)")
|
||||
self.fig_profile.supylabel("Depth (m)")
|
||||
|
||||
self.fig_profile.canvas.draw_idle()
|
||||
# plt.close(self.fig_profile)
|
||||
self.fig_profile.canvas.draw_idle()
|
||||
# plt.close(self.fig_profile)
|
||||
|
||||
# self.plot_transect_with_BS_raw_data()
|
||||
# self.plot_transect_with_BS_raw_data()
|
||||
|
||||
# self.slider.valueChanged.connect(self.update_plot_profile)
|
||||
# self.slider.valueChanged.connect(self.update_xaxis_transect_with_BS_raw_data)
|
||||
# self.combobox_frequency_profile.currentIndexChanged.connect(self.update_xaxis_transect_with_BS_raw_data)
|
||||
# self.combobox_frequency_profile.currentIndexChanged.connect(self.update_plot_profile)
|
||||
# self.slider.valueChanged.connect(self.update_plot_profile)
|
||||
# self.slider.valueChanged.connect(self.update_xaxis_transect_with_BS_raw_data)
|
||||
# self.combobox_frequency_profile.currentIndexChanged.connect(self.update_xaxis_transect_with_BS_raw_data)
|
||||
# self.combobox_frequency_profile.currentIndexChanged.connect(self.update_plot_profile)
|
||||
|
||||
def update_plot_profile(self):
|
||||
# print("len(stg.BS_cross_section) ", len(stg.BS_cross_section))
|
||||
|
|
|
|||
|
|
@ -174,6 +174,7 @@ class Ui_MainWindow(object):
|
|||
|
||||
# --- Connect Action Open ---
|
||||
self.actionOpen.triggered.connect(self.open)
|
||||
self.actionOpen.triggered.connect(lambda: print('tott'))
|
||||
|
||||
# --- Connect Action DB_Browser_for_SQLite ---
|
||||
self.actionDB_Browser_for_SQLite.triggered.connect(self.db_browser_for_sqlite)
|
||||
|
|
|
|||
Loading…
Reference in New Issue