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Aquascat data are adapted to UBSediFlow data. The 3D array backscatter acoustic signal is reshaped into frequency shape * depth shape * time shape. Depth and time arrays are transformed into 2D arrays: each line corresponds to a frequency. As the Aquascat data have the same depth and time values for all frequencies, we simply repeat the same line.
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@@ -846,51 +846,51 @@ class AcousticDataTab(QWidget):
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def fill_table(self):
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if self.combobox_ABS_system_choice.currentIndex() == 1:
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if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.snr_reshape), axis=1),
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columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text] +
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["SNR - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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elif self.lineEdit_acoustic_file.text():
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1),
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columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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else:
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msgBox = QMessageBox()
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msgBox.setWindowTitle("Fill table Error")
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msgBox.setIcon(QMessageBox.Warning)
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msgBox.setText("Download files before fill table")
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msgBox.setStandardButtons(QMessageBox.Ok)
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msgBox.exec()
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# if self.combobox_ABS_system_choice.currentIndex() == 2:
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# if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
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# stg.DataFrame_acoustic = pd.DataFrame(
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# np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.snr_reshape), axis=1),
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# columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text] +
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# ["SNR - " + f for f in stg.freq_text])))
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# self.tableModel = TableModel(stg.DataFrame_acoustic)
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# self.tableView.setModel(self.tableModel)
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# elif self.lineEdit_acoustic_file.text():
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# stg.DataFrame_acoustic = pd.DataFrame(
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# np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1),
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# columns=list(map(str, ["Time"] + ["BS - " + f for f in stg.freq_text])))
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# self.tableModel = TableModel(stg.DataFrame_acoustic)
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# self.tableView.setModel(self.tableModel)
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# else:
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# msgBox = QMessageBox()
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# msgBox.setWindowTitle("Fill table Error")
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# msgBox.setIcon(QMessageBox.Warning)
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# msgBox.setText("Download files before fill table")
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# msgBox.setStandardButtons(QMessageBox.Ok)
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# msgBox.exec()
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elif self.combobox_ABS_system_choice.currentIndex() == 2:
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if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.time_snr_reshape, stg.snr_reshape), axis=1),
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columns=list(map(str, ["Time BS - " + f for f in stg.freq_text] +
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["BS - " + f for f in stg.freq_text] +
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["Time SNR - " + f for f in stg.freq_text] +
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["SNR - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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elif self.lineEdit_acoustic_file.text():
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1),
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columns=list(map(str, ["Time BS - " + f for f in stg.freq_text] + ["BS - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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else:
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msgBox = QMessageBox()
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msgBox.setWindowTitle("Fill table Error")
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msgBox.setIcon(QMessageBox.Warning)
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msgBox.setText("Download files before fill table")
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msgBox.setStandardButtons(QMessageBox.Ok)
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msgBox.exec()
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# elif self.combobox_ABS_system_choice.currentIndex() == 1:
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if ((self.lineEdit_acoustic_file.text()) and (self.lineEdit_noise_file.text())):
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape, stg.time_snr_reshape, stg.snr_reshape), axis=1),
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columns=list(map(str, ["Time BS - " + f for f in stg.freq_text] +
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["BS - " + f for f in stg.freq_text] +
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["Time SNR - " + f for f in stg.freq_text] +
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["SNR - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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elif self.lineEdit_acoustic_file.text():
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stg.DataFrame_acoustic = pd.DataFrame(
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np.concatenate((stg.time_reshape, stg.BS_raw_data_reshape), axis=1),
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columns=list(map(str, ["Time BS - " + f for f in stg.freq_text] + ["BS - " + f for f in stg.freq_text])))
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self.tableModel = TableModel(stg.DataFrame_acoustic)
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self.tableView.setModel(self.tableModel)
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else:
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msgBox = QMessageBox()
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msgBox.setWindowTitle("Fill table Error")
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msgBox.setIcon(QMessageBox.Warning)
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msgBox.setText("Download files before fill table")
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msgBox.setStandardButtons(QMessageBox.Ok)
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msgBox.exec()
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def export_table(self):
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if self.tableWidget.columnCount() == 10:
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@@ -978,7 +978,7 @@ class AcousticDataTab(QWidget):
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print(f"tmax {stg.tmax}")
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pcm = self.axis_BS[f].pcolormesh(
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stg.time[f, int(stg.tmin[f]):int(stg.tmax[f])], stg.r[f, :],
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stg.time[f, int(stg.tmin[f]):int(stg.tmax[f])], -stg.r[f, :],
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stg.BS_raw_data[f, :, int(stg.tmin[f]):int(stg.tmax[f])],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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@@ -1054,7 +1054,7 @@ class AcousticDataTab(QWidget):
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# print("stg.t[f, :].shape ", stg.t[f])
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# print("stg.r[f, :].shape ", stg.r[f, :])
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pcm = self.axis_BS[f].pcolormesh(stg.t[f, :], stg.r[f, :], stg.BS_data[f, :, :],
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pcm = self.axis_BS[f].pcolormesh(stg.t[f, :], -stg.r[f, :], stg.BS_data[f, :, :],
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cmap='viridis', norm=LogNorm(vmin=val_min, vmax=val_max))
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self.axis_BS[f].text(1, .70, stg.freq_text[f],
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@@ -1180,7 +1180,7 @@ class AcousticDataTab(QWidget):
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# print(f"levels = {levels}")
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# print(f"norm = {norm.boundaries}")
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cf = self.axis_SNR[f].contourf(x[f, :, :], y[f, :, :], stg.snr[f, :, :])#, levels, cmap='gist_rainbow', norm=norm)
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cf = self.axis_SNR[f].contourf(x[f, :, :], -y[f, :, :], stg.snr[f, :, :])#, levels, cmap='gist_rainbow', norm=norm)
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self.axis_SNR[f].text(1, .70, stg.freq_text[f],
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fontsize=14, fontweight='bold', fontname="Ubuntu", c="black", alpha=0.5,
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@@ -1314,7 +1314,7 @@ class AcousticDataTab(QWidget):
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# print(f"norm = {norm.boundaries}")
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cf = self.axis_SNR[f].contourf(x[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])],
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y[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])],
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-y[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])],
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stg.snr[f, :, int(stg.tmin_snr[f]):int(stg.tmax_snr[f])]) # , levels, cmap='gist_rainbow', norm=norm)
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self.axis_SNR[f].text(1, .70, stg.freq_text[f],
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