def getConfig():
config = configurationWidget()
file = self.path + "/" + self.filename
h5file = tables.openFile(file, mode="r")
config.restoreState(h5file.root._v_attrs.config)
h5file.close()
return (config.p)
def getConfig():
config=configurationWidget()
file=self.path+"/"+self.filename
h5file = tables.openFile(file, mode = "r")
config.restoreState(h5file.root._v_attrs.config)
h5file.close()
return(config.p)
def loadData(self,path=None,files=None):
if self.useLocalDrive!=None and self.useLocalDrive!=False:
if self.useLocalDrive==True: self.useLocalDrive="C"
path=copyFilesToLocal(path,self.useLocalDrive)
selectedFiles=[path+"/"+file for file in os.listdir(path) if ".lv" in file]
if files!=None:
if not isinstance(files,(list,tuple)): files=[files]
selectedFiles=[selectedFiles[i] for i in files]
if self.filters!=None:
if not isinstance(self.filters,(list,tuple)): self.filters=[self.filters]
for f in self.filters:
selectedFiles=[selectedFiles[i] for i in range(len(selectedFiles)) if f in selectedFiles[i]]
updated=False
progress = ProgressBar(len(selectedFiles))
i=0
print("load Data from: "+path)
progress.run(i)
config=configurationWidget()
for file in selectedFiles:
if not file in list(self.measurements.keys()):
h5file = tables.openFile(file, mode = "r")
#print '\r', "load Data: "+file.split("\\")[-1],
i+=1
progress.run(i)
h5file =config.restoreState(h5file,file=file)
m=SlimMeasurement(config=config.p,path=path)
if self.useSpectrum=="TOF":
m.spectrum=h5file.getNode("/spectra", "timeHistogram").read()
if self.xRange==None:
self.xRange=np.arange(config.p["Spectra","Time Histogram","Time min"],config.p["Spectra","Time Histogram","Time max"],config.p["Spectra","Time Histogram","Time resolution"])
elif self.useSpectrum=="Energy":
m.spectrum=h5file.getNode("/spectra", "energyHistogram").read()
if self.xRange==None:
setting=config.p.param(("DLLParams"))
self.xRange=np.arange(-setting["E offset"],m.spectrum.shape[0]*setting["E factor"]-setting["E offset"]-setting["E factor"]/4.,setting["E factor"])
if checkFileHasGroup(h5file,"keithley"):
m.keithley=h5file.getNode("/spectra", "keithley").read()
self.measurements[file]=m
h5file.close()
updated=True
progress.run(len(selectedFiles))
if self.sort!=None and self.sort!=False:
self.sortMeasurements(self.sort)
if updated: self.dataUpdated.emit()
print("")
def loadData(self, path=None, files=None):
if self.useLocalDrive != None and self.useLocalDrive != False:
if self.useLocalDrive == True: self.useLocalDrive = "C"
path = copyFilesToLocal(path, self.useLocalDrive)
selectedFiles = [
path + "/" + file for file in os.listdir(path) if ".lv" in file
]
if files != None:
if not isinstance(files, (list, tuple)): files = [files]
selectedFiles = [selectedFiles[i] for i in files]
if self.filters != None:
if not isinstance(self.filters, (list, tuple)):
self.filters = [self.filters]
for f in self.filters:
selectedFiles = [
selectedFiles[i] for i in range(len(selectedFiles))
if f in selectedFiles[i]
]
updated = False
progress = ProgressBar(len(selectedFiles))
i = 0
print("load Data from: " + path)
progress.run(i)
config = configurationWidget()
for file in selectedFiles:
if not file in list(self.measurements.keys()):
h5file = tables.openFile(file, mode="r")
#print '\r', "load Data: "+file.split("\\")[-1],
i += 1
progress.run(i)
h5file = config.restoreState(h5file, file=file)
m = SlimMeasurement(config=config.p, path=path)
if self.useSpectrum == "TOF":
m.spectrum = h5file.getNode("/spectra",
"timeHistogram").read()
if self.xRange == None:
self.xRange = np.arange(
config.p["Spectra", "Time Histogram", "Time min"],
config.p["Spectra", "Time Histogram", "Time max"],
config.p["Spectra", "Time Histogram",
"Time resolution"])
elif self.useSpectrum == "Energy":
m.spectrum = h5file.getNode("/spectra",
"energyHistogram").read()
if self.xRange == None:
setting = config.p.param(("DLLParams"))
self.xRange = np.arange(
-setting["E offset"],
m.spectrum.shape[0] * setting["E factor"] -
setting["E offset"] - setting["E factor"] / 4.,
setting["E factor"])
if checkFileHasGroup(h5file, "keithley"):
m.keithley = h5file.getNode("/spectra", "keithley").read()
self.measurements[file] = m
h5file.close()
updated = True
progress.run(len(selectedFiles))
if self.sort != None and self.sort != False:
self.sortMeasurements(self.sort)
if updated: self.dataUpdated.emit()
print("")
