def loadSignal(self, file, name): signal = None ismat = False if file.endswith('.mat'): matfile = loadmat(file) ismat = True if not ismat: if not self.filesHasHeaders: signal = ExtractSignalFromCSV(str(file), separator=self.columnSeparator, unit='ms', columns=name, header=False, headerValues=self.signalsHeader) else: signal = ExtractSignalFromCSV( str(file), separator=self.columnSeparator, unit='ms', columns=[str(self.headerMap[name])]) else: ci = self.signalsHeader.index(name) cn = str(self.signalsHeader[ci]) signal = ExtractSignalFromMAT(str(file), columns_index=ci, columns_wanted_names=[cn], matfile=matfile) return signal
def computeBtnEvent(self): # load selected signals from selected files self.signals = [] self.outputBaseName = None ismat = False dic = self.ui.methodWidget.getArgumentsAsDictionary() if not(dic.has_key("ignoreInputSignals") and dic["ignoreInputSignals"]): for f in self.filesSelected: if f.endswith('.mat'): matfile = loadmat(f) ismat = True for s in self.signalsSelected: if not ismat: if not self.filesHasHeaders: self.signals.append(ExtractSignalFromCSV(str(f), separator=self.columnSeparator, unit='ms', columns=s, header=False, headerValues=self.signalsHeader)) else: self.signals.append(ExtractSignalFromCSV(str(f), separator=self.columnSeparator, unit='ms', columns=[str(self.headerMap[s])])) else: ci = self.signalsHeader.index(s) cn = str(self.signalsHeader[ci]) self.signals.append(ExtractSignalFromMAT(str(f), columns_index=ci, columns_wanted_names=[cn], matfile=matfile)) self.ui.methodWidget.compute(self.signals, self.getOutputBasename()) self.ui.stopPushButton.setEnabled(True) self.ui.startPushButton.setEnabled(False) self.ui.toolBox.setEnabled(False) self.showStatus("Computing...")
def exportSelectedSignals(self): table = self.ui.inputSignalsWidget selectedSignalsHeader = [] # give filename self.getSelectedFiles() firstTime = True fileNumber = 1 for index in range(table.rowCount()): item = table.item(index, 0) ismat = False for f in self.getSelectedFiles(): if f.endswith('.mat'): matfile = loadmat(f) ismat = True if item.checkState() == QtCore.Qt.Checked: s = str(item.text()) if not ismat: if not self.filesHasHeaders: signal = ExtractSignalFromCSV(str(f), separator=self.columnSeparator, unit='ms', columns=s, header=False, headerValues=self.signalsHeader) else: signal = ExtractSignalFromCSV(str(f), separator=self.columnSeparator, unit='ms', columns=[str(self.headerMap[s])]) else: ci = self.signalsHeader.index(s) cn = str(self.signalsHeader[ci]) signal = ExtractSignalFromMAT(str(f), columns_index=ci, columns_wanted_names=[cn], matfile=matfile) if firstTime: seletedSignals = pd.DataFrame(index=signal.index) firstTime = False #seletedSignals.insert(col,s,signal) #col += 1 seletedSignals[s+str(fileNumber)] = signal fileNumber += 1 fileName = '' fileName = QtGui.QFileDialog.getSaveFileName(self) if not fileName: print "Error export signals: No filename provided" return else: if not fileName.endsWith('.csv'): fileName = fileName+'.csv' seletedSignals.to_csv(path_or_buf=fileName,header=True,sep=';')
def computeBtnEvent(self): # load selected signals from selected files self.signals = [] ismat = False for f in self.filesSelected: if f.endswith('.mat'): matfile = loadmat(f) ismat = True for s in self.signalsSelected: if not ismat: if not self.filesHasHeaders: self.signals.append( ExtractSignalFromCSV( str(f), separator=self.columnSeparator, unit='ms', columns=s, header=False, headerValues=self.signalsHeader)) else: self.signals.append( ExtractSignalFromCSV( str(f), separator=self.columnSeparator, unit='ms', columns=[str(self.headerMap[s])])) else: ci = self.signalsHeader.index(s) cn = str(self.signalsHeader[ci]) self.signals.append( ExtractSignalFromMAT(str(f), columns_index=ci, columns_wanted_names=[cn], matfile=matfile)) self.ui.methodWidget.compute(self.signals) self.ui.stopPushButton.setEnabled(True) self.ui.startPushButton.setEnabled(False) self.ui.toolBox.setEnabled(False) self.showStatus("Computing...")