def load(self):
'''
opens file manager, reads data from file,
calls generateList to put into GUI
'''
self.lastdir = self.checkForLastDir()
# second par - name of file dialog window
# third parameter - default file name
# forth parameter - file filter. types separated by ';;'
filename = QtGui.QFileDialog.getOpenFileName(self, "", "%s"%(self.lastdir), "*.clf;;MAT files (*.mat)")
if filename[0] == '': return
if filename[1] == 'MAT files (*.mat)':
self.data = pymat.load(filename[0])
elif filename[1] == u'*.clf':
data = readclf.readclf(filename[0])
else: raise IOError('Cannot read this file format.')
# this is to remember this name when we wanna save file
self.makeLastDir(filename[0]) # extract filename from absolute path
self.filename = os.path.basename(filename[0])
# remove extension from name
self.filename = os.path.splitext(self.filename)[0]
# Separate all digital data and units
self.units = data['Units']
del data['Units']
self.data = data
# # we need this attribute for speedup. it coresponds to
# # reduced data. see method reduce
self.reducedData = self.data;self.truncatedData = self.data
try:
self.datalength = len(self.data[self.data.keys()[1]])
except: self.datalength = 1
self.setParameters()
self.connect()
def load(self,filename):
'''
opens file manager, reads data from file,
calls generateList to put into GUI
'''
headerexpr = self.settings.msWidget.getHeaderExpr()
slengthexpr = self.settings.msWidget.getSampleLengthExpr()
if filename[0] == '': return
if filename[1] == 'MAT files (*.mat)':
self.data = pymat.load(filename[0])
elif filename[1] == u'*.clf':
tup = readclf.readclf(filename[0],
headerexpr=headerexpr,
lengthexpr=slengthexpr)
if tup==None:
reply = QtGui.QMessageBox.warning(self,
'Wrong header',
BadHeaderMessage, QtGui.QMessageBox.Ok )
IOError('Cannot read this file.')
data,comments,length = tup
else: raise IOError('Cannot read this file format.')
# this is to remember this name when we wanna save file
self.makeLastDir(filename[0]) # extract filename from absolute path
self.filename = os.path.basename(filename[0])
# remove extension from name
self.filename = os.path.splitext(self.filename)[0]
# Separate all digital data and units
units = data['Units']
del data['Units']
self.data = data
# self.setParameters()
# self.connectParameters()
isNew = True
if self.filename in self.allData.keys():
isNew = False
self.allData[self.filename] = data
# get one name from array to get length of the data
key = data.keys()[0]
l = self.data[key].shape[0]
self.allSampleLengths[self.filename] = length
self.allIndices[self.filename] = np.arange(l)
self.allComments[self.filename] = comments
self.allUnits[self.filename] = units
self.addDataSet(self.filename,isNew)
