def load_data(self, button):
file_chooser = gtk.FileChooserDialog(title='CSV Datei laden',
buttons=(gtk.STOCK_CANCEL,
gtk.RESPONSE_CANCEL,
gtk.STOCK_OPEN,
gtk.RESPONSE_OK))
result = file_chooser.run()
if result == gtk.RESPONSE_OK:
self.data = load_csv(file_chooser.get_filename())
self.refresh()
file_chooser.destroy()
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
from sitforc import modellib, load_csv
from sitforc.core import RegressionIdentifier, ITMIdentifier
with open('results.txt', 'w') as f_out:
sys.stdout = f_out
for filename in os.listdir(''):
if filename.endswith('.csv'):
print 'File: {0}'.format(filename)
x, y = load_csv(filename)
ident = RegressionIdentifier(x, y, modellib.pt2)
mf = ident.model_fitter
print 'Params for PT-2 Model: {0}'.format(mf.params)
degree = 11
ident = ITMIdentifier(x, y, degree)
print 'Params for ITM'
print 'Tu\t\t{0:.3f}'.format(ident.tu)
print 'Tg\t\t{0:.3f}'.format(ident.tg)
print 'Tu/Tg\t\t{0:.3f}'.format(ident.tu/ident.tg)
print
#!/usr/bin/python
# -*- coding: utf-8 -*-
from sitforc import modellib, load_csv, identify_reg, identify_itm
x, y = load_csv('data.csv')
print 'Identification with regression model of 3rd-order time-delay element:\n'
identify_reg(x, y, modellib.pt3 , shift=1.8)
print '\n'
print 'Identification with inflectional tangent method:\n'
identify_itm(x, y, shift=1.8)
