def load(self):
'''
'''
# Open a file finder. Load the csv file.
name = QFileDialog.getOpenFileName()
try:
f = open(name, 'r')
raw_dat = f.read()
f.close()
proceed = True
except IOError:
message = []
message.append('Could not open file.')
self.results.addItems(message)
proceed = False
if proceed:
data = {}
lines = raw_dat.split('\n')
for line in lines:
if line != '':
d = line.split(',')
array = []
for num in d[1:]:
if num != '':
array.append(num)
data[d[0]] = np.asarray(array, dtype=float)
if 'name' in data:
self.txt1.setText(str(data['name'][0]))
else:
self.txt1.setText('')
if 'age' in data:
self.txt2.setText(str(data['age'][0]))
else:
self.txt2.setText('')
if 'L_peak' in data:
self.txt3.setText(str(data['L_peak'][0]))
else:
self.txt3.setText('')
if 'M_peak' in data:
self.txt4.setText(str(data['M_peak'][0]))
else:
self.txt4.setText('')
if 'ref' in data:
self.txt5.setText(str(data['ref'][0]))
else:
self.txt5.setText('')
if 'LED1' in data:
self.txt6.setText(str(np.mean(data['LED1'])))
else:
self.txt6.setText('')
if 'LED2' in data:
self.txt7.setText(str(np.mean(data['LED2'])))
else:
self.txt7.setText('')
if 'LED3' in data:
self.txt8.setText(str(np.mean(data['LED3'])))
else:
self.txt8.setText('')
def loadFileDialog(self):
print 'load f dialog'
fileName = QFileDialog.getOpenFileName(self, _("Open Cal Data"),
self.file_dir)
print fileName
self.mainwidget.load_cal_data(fileName)
def OpenTxtFile(text, path):
filename = QFileDialog.getOpenFileName(None, text, path, filter="txt (*.txt *.)")
return filename
def OpenTxtFile(text, path):
filename = QFileDialog.getOpenFileName(None,
text,
path,
filter="txt (*.txt *.)")
return filename
