The user can export raw acoustic backscatter data, displayed in the table of values, to csv file. Each acoustic file is exported to a csv file with the following default name : Table_ + name_of_file_aqa.

View/mainwindow.py

@@ -15,9 +15,13 @@ from Model.read_table_for_open import ReadTableForOpen
 from View.about_window import AboutWindow
 import settings as stg
 
+import numpy as np
+import pandas as pd
 import sys
+from os import chdir
 from subprocess import check_call
 
+import time
 # from View.acoustic_data_tab import AcousticDataTab
 
 from functools import partial
@@ -179,6 +183,10 @@ class Ui_MainWindow(object):
         self.actionOpen.triggered.connect(self.open)
         self.actionOpen.triggered.connect(lambda: print('tott'))
 
+        # --- Connect Action export acoustic backscatter values ---
+        self.actionTable_of_Backscatter_values.triggered.connect(
+            self.export_table_of_acoustic_BS_values_to_excel_or_libreOfficeCalc_file)
+
         # --- Connect Action DB_Browser_for_SQLite ---
         self.actionDB_Browser_for_SQLite.triggered.connect(self.db_browser_for_sqlite)
 
@@ -229,6 +237,65 @@ class Ui_MainWindow(object):
         # w.show()
         # sys.exit(new_app.exec_())
 
+    def export_table_of_acoustic_BS_values_to_excel_or_libreOfficeCalc_file(self):
+
+        if len(stg.BS_raw_data_reshape) != 0:
+
+            # --- Open file dialog to select the directory ---
+
+            name = QtWidgets.QFileDialog.getExistingDirectory(caption="Select Directory - Acoustic BS raw data Table")
+            print("name table to save ", name)
+
+            # --- Save the raw acoustic backscatter data from a Dataframe to csv file ---
+
+            t0 = time.time()
+            print("len(stg.BS_raw_data_reshape) ", len(stg.BS_raw_data_reshape))
+
+            if name:
+
+                for i in range(len(stg.BS_raw_data_reshape)):
+
+                    header_list = []
+                    header_list.clear()
+                    table_data = np.array([[]])
+                    for freq_ind, freq_value in enumerate(stg.freq_text[0]):
+                        header_list.append("Time - " + freq_value)
+                        header_list.append("Depth - " + freq_value)
+                        header_list.append("BS - " + freq_value)
+
+                        if freq_ind == 0:
+                            table_data = np.vstack((np.vstack((stg.time_reshape[i][:, freq_ind],
+                                                               stg.depth_reshape[i][:, freq_ind])),
+                                                               stg.BS_raw_data_reshape[i][:, freq_ind]))
+
+                        else:
+                            table_data = np.vstack((table_data,
+                                                    np.vstack((np.vstack(
+                                                        (stg.time_reshape[i][:, freq_ind],
+                                                         stg.depth_reshape[i][:, freq_ind])),
+                                                         stg.BS_raw_data_reshape[i][:, freq_ind]))
+                                                    ))
+
+                    exec("DataFrame_acoustic_" + str(i) + "= pd.DataFrame(None)")
+                    exec("DataFrame_acoustic_" + str(i) + "= pd.DataFrame(data=table_data.transpose(), columns=header_list)")
+
+                # exec("DataFrame_acoustic_" + str(i) + ".to_csv(" +
+                #         "excel_writer=" +
+                #         '/home/bmoudjed/Documents/3 SSC acoustic meas project/Graphical interface project/BS_raw_data_table.xlsx' + "," +
+                #         "sheet_name=stg.filename_BS_raw_data[i]," +
+                #         "header=DataFrame_acoustic.columns," +
+                #         "engine=" + "xlsxwriter" + ")")
+
+                    exec("DataFrame_acoustic_" + str(i) + ".to_csv(" +
+                         "path_or_buf=" +
+                         " '/home/bmoudjed/Documents/3 SSC acoustic meas project/Graphical interface project/Table_" +
+                         str(stg.filename_BS_raw_data[i][:-4]) + ".csv'" + ", " +
+                         "sep=" + " ',' " + ", " +
+                         "header=DataFrame_acoustic_" + str(i) + ".columns" + ")")
+
+            t1 = time.time() - t0
+            print("time duration export BS ", t1)
+            print("table of BS value Export finished")
 
     def retranslateUi(self, MainWindow):
         _translate = QtCore.QCoreApplication.translate