def setCurrentPlate(self, index):
if self.currentPlateIndex == index :
return
self.currentPlateIndex = index
if index >= 0:
plate = self.plates[index].plate
appindex= indexByName(plate.approximation.name)
self.defaultApproximationIndex = appindex
self.signalApproximationSelected.emit(appindex)
else :
plate = None
self.signalCurrentIndexChanged.emit(self.currentPlateIndex)
self.signalCurrentPlateSet.emit(plate)
def setCurrentPlate(self, index):
if self.currentPlateIndex == index:
return
self.currentPlateIndex = index
if index >= 0:
plate = self.plates[index].plate
appindex = indexByName(plate.approximation.name)
self.defaultApproximationIndex = appindex
self.signalApproximationSelected.emit(appindex)
else:
plate = None
self.signalCurrentIndexChanged.emit(self.currentPlateIndex)
self.signalCurrentPlateSet.emit(plate)
def loadFromFile(cls, fileName):
'''
Read plate file and return list of plate records, or empty list if reading was unsucsessfull
'''
def wellFromLine(line):
column = int(line[1:])-1
row = ord(line[0])-ord('A')
return row,column
plateFile = open(unicode(fileName))
caption = plateFile.readline().strip()
if caption.startswith(cls.inputTitle) :
print('Loading plate from txt')
plateNumber = 1
absorbanses = np.empty(cls.plateSize)
absorbanses[:]=np.NAN
plates = []
print('parsing plate',plateNumber)
while True:
line = plateFile.readline().split()
isEndFile=not line[0].isdigit()
if isEndFile or (int(line[0])>plateNumber) : # writing plate record
plate = cls(absorbanses)
plates.append(plate)
print('Loaded plate absorbances')
print(absorbanses)
if isEndFile:
break
plateNumber+=1
absorbanses = np.zeros(cls.plateSize)
print('parsing plate',plateNumber)
wellline=line[2]
row,column = wellFromLine(wellline)
absorbanses[row, column] = float(line[-1])
line = ''
while not line.strip() == 'Protocol description':
line = plateFile.readline()
notes = plateFile.readlines()
for plate in plates :
plate.notes=notes
return plates
elif caption == cls.outputTitle :
print('Loading plate from ElisaSolver csv')
plateFile.readline()
plateFile.readline()
absorbanses=cls.readTable(plateFile)
plate = cls(absorbanses)
plateFile.readline()
appName = plateFile.readline().split(':')[1].strip()
index= indexByName(appName)
plate.setApproximation(index)
plateFile.readline()
strP = plateFile.readline().strip()
if strP != '' :
p = np.array([float(item) for item in strP.split(';')])
else:
p=None
plate.reference=Reference.loadFromFile(plateFile)
print('Reference cells: ',plate.reference)
plateFile.readline()
plateFile.readline()
plate.concentrations= cls.readTable(plateFile)
plate.notes = plateFile.readlines()
print('Approximation: ',plate.approximation.name)
plate.approximation.p = p
print('Coefficients: ',p)
plate.dirty = False
return [plate]
else :
return []
