613 lines
24 KiB
Python
Executable File
613 lines
24 KiB
Python
Executable File
#!/usr/bin/env python
|
|
# -*- encoding: utf-8 -*-
|
|
from gui import ExtraDifferentialWidget
|
|
|
|
_author_ = "Markus Rosenstihl"
|
|
|
|
import hashlib, uuid
|
|
import time
|
|
import os, sys, re, signal
|
|
|
|
import matplotlib
|
|
|
|
matplotlib.use('agg')
|
|
|
|
from matplotlib import pyplot
|
|
from matplotlib.colors import hex2color
|
|
# matplotlib.rc_file("default.mplrc")
|
|
|
|
|
|
from PyQt4.QtCore import *
|
|
from PyQt4.QtGui import *
|
|
|
|
import numpy as np
|
|
import pyqtgraph as pg
|
|
|
|
from data.container import Conductivity, PowerComplex, Static, Peak, YAFF
|
|
from gui.ContainerWidgets import ParameterWidget
|
|
from ui import QDSMain
|
|
|
|
from libmath.BDSlib import FunctionRegister, FitRoutine
|
|
from data.data import Data
|
|
from bds_io import bds_file_reader
|
|
|
|
|
|
class AppWindow(QMainWindow):
|
|
def __init__( self, files=[], parent=None ):
|
|
super(AppWindow, self).__init__(parent)
|
|
self.ui = QDSMain.Ui_MainWindow()
|
|
self.ui.setupUi(self)
|
|
self._file_paths = self._sortInputFiles(files)
|
|
self._last_written_header = None
|
|
|
|
actions = {
|
|
self.ui.actionAdd_Peak: self.addPeak,
|
|
self.ui.actionAdd_Cond: self.addCond,
|
|
self.ui.actionAdd_PowerLaw: self.addPowerComplex,
|
|
self.ui.actionAdd_Eps_Infty: self.addEpsInfty,
|
|
self.ui.actionYAFF: self.addYaff,
|
|
}
|
|
|
|
self.myActionGroup = QActionGroup(self)
|
|
for a in actions.keys(): self.myActionGroup.addAction(a)
|
|
|
|
self._init_menu()
|
|
|
|
self.function_registry = FunctionRegister()
|
|
self.session_id = uuid.uuid4()
|
|
self.peakId = 0
|
|
|
|
self.parameterWidget = ParameterWidget()
|
|
self.ui.dockWidget_3.setWidget(self.parameterWidget)
|
|
|
|
self.data = Data()
|
|
|
|
self.fit_boundary_imag = pg.LinearRegionItem(brush=QColor(0, 127, 254, 15))
|
|
self.fit_boundary_real = pg.LinearRegionItem(brush=QColor(0, 127, 254, 15))
|
|
|
|
self.ui.pgPlotWidget_imag.addItem(self.data.data_curve_imag)
|
|
self.ui.pgPlotWidget_real.addItem(self.data.data_curve_real)
|
|
self.ui.pgPlotWidget_imag.addItem(self.data.fitted_curve_imag)
|
|
self.ui.pgPlotWidget_real.addItem(self.data.fitted_curve_real)
|
|
|
|
self.ui.pgPlotWidget_imag.addItem(self.fit_boundary_imag)
|
|
self.ui.pgPlotWidget_real.addItem(self.fit_boundary_real)
|
|
|
|
# fit boundary signals
|
|
self.fit_boundary_imag.sigRegionChanged.connect(self._update_fit_boundary_imag)
|
|
self.fit_boundary_imag.sigRegionChangeFinished.connect(self.updatePlot)
|
|
self.fit_boundary_real.sigRegionChanged.connect(self._update_fit_boundary_real)
|
|
self.fit_boundary_real.sigRegionChangeFinished.connect(self.updatePlot)
|
|
|
|
for pltwidgt in (self.ui.pgPlotWidget_real, self.ui.pgPlotWidget_imag):
|
|
pltwidgt.setLogMode(x=True, y=True)
|
|
pltwidgt.showGrid(x=True, y=True)
|
|
pltwidgt.disableAutoRange()
|
|
pltwidgt.setLabel("bottom", "Frequency", units="Hz")
|
|
|
|
self.ui.pgPlotWidget_imag.setLabel("left", u'Dielectric loss ε"', units="Debye")
|
|
self.ui.pgPlotWidget_real.setLabel("left", u"Dielectric loss ε' ", units="Debye")
|
|
|
|
sc_real = self.ui.pgPlotWidget_real.scene()
|
|
sc_real.sigMouseClicked.connect(self.mousePress)
|
|
sc_real.sigMouseMoved.connect(self.updateCrosshair)
|
|
|
|
sc_imag = self.ui.pgPlotWidget_imag.scene()
|
|
sc_imag.sigMouseClicked.connect(self.mousePress)
|
|
sc_imag.sigMouseMoved.connect(self.updateCrosshair)
|
|
|
|
self._fit_thread = QThread()
|
|
self._fit_method = FitRoutine()
|
|
self._fit_method.moveToThread(self._fit_thread)
|
|
self._fit_method.finished_fit.connect(self.fitData_update)
|
|
self._fit_method.data_ready.connect(self.updateIntermediatePlot)
|
|
self._fit_thread.started.connect(self._fit_method.fit)
|
|
|
|
|
|
# finally process cmd line args
|
|
if files != []:
|
|
self.openFile(unicode(self._file_paths[0]))
|
|
self._current_file_index = 0
|
|
|
|
def _init_menu( self ):
|
|
fileMenu = self.menuBar().addMenu("File")
|
|
|
|
openFile = QAction("&Open", self)
|
|
openFile.setShortcut(QKeySequence.Open)
|
|
openFile.triggered.connect(self.getFileNames)
|
|
fileMenu.addAction(openFile)
|
|
|
|
nextFile = QAction("Next", self)
|
|
nextFile.setShortcut(QKeySequence("Ctrl+k"))
|
|
nextFile.triggered.connect(self.nextFile)
|
|
fileMenu.addAction(nextFile)
|
|
|
|
previousFile = QAction("Previous", self)
|
|
previousFile.setShortcut(QKeySequence("Ctrl+j"))
|
|
previousFile.triggered.connect(self.previousFile)
|
|
fileMenu.addAction(previousFile)
|
|
|
|
saveFile = QAction("&Save Fit Result", self)
|
|
saveFile.setShortcut(QKeySequence.Save)
|
|
saveFile.triggered.connect(self.saveFitResult)
|
|
fileMenu.addAction(saveFile)
|
|
|
|
# fitting methods
|
|
fitMenu = self.menuBar().addMenu("Standard Fits")
|
|
# lm
|
|
fit_lmAction = QAction("Complex NLS", self)
|
|
fit_lmAction.setShortcut(QKeySequence("Ctrl+F"))
|
|
fitMenu.addAction(fit_lmAction)
|
|
# lbfgsb
|
|
fit_lbfgsbAction = QAction("NLS (Imag.)", self)
|
|
fitMenu.addAction(fit_lbfgsbAction)
|
|
# Simulated Annealing
|
|
fit_annealAction = QAction("&Simulated Annealing", self)
|
|
fitMenu.addAction(fit_annealAction)
|
|
|
|
self.ui.actionActionAbortFit.triggered.connect(self.abortFit)
|
|
|
|
self.signalMapper = QSignalMapper(self)
|
|
for i, fit_action in enumerate([fit_lmAction, fit_lbfgsbAction, fit_annealAction
|
|
]):
|
|
self.signalMapper.setMapping(fit_action, i)
|
|
fit_action.triggered.connect(self.signalMapper.map)
|
|
self.signalMapper.mapped.connect(self.fitData_start)
|
|
|
|
self.ui.actionShow_Derivative.triggered.connect(self.show_derivative)
|
|
|
|
|
|
def show_derivative( self ):
|
|
self.xtra_wdgt = ExtraDifferentialWidget.DifferentialWidget()
|
|
#self.xtra_wdgt.set
|
|
deriv_r = np.diff(np.log10(self.data.epsilon.real))
|
|
deriv_i = np.diff(np.log10(self.data.epsilon.imag))*0
|
|
deriv_i = -np.pi/2*np.diff(np.log10(self.data.epsilon.real))/np.diff(np.log10(self.data.frequency))
|
|
self.xtra_wdgt.plot(self.data.frequency[:-1], deriv_r, deriv_i)
|
|
# self.xtra_wdgt.plot([0,1], [0,1], [0,1])
|
|
self.xtra_wdgt.setGeometry(self.ui.pgPlotWidget_real.geometry())
|
|
self.xtra_wdgt.show()
|
|
#self.xtra_wdgt.showCenterd()
|
|
self.xtra_wdgt.raise_()
|
|
|
|
|
|
def updateCrosshair( self, evt ):
|
|
|
|
vb_real = self.ui.pgPlotWidget_real.getPlotItem().vb
|
|
vb_imag = self.ui.pgPlotWidget_imag.getPlotItem().vb
|
|
if self.ui.pgPlotWidget_imag.underMouse():
|
|
pos = vb_imag.mapSceneToView(evt)
|
|
elif self.ui.pgPlotWidget_real.underMouse():
|
|
pos = vb_real.mapSceneToView(evt)
|
|
else:
|
|
pos = QPointF(0.0, 0.0)
|
|
self.last_pos = pos
|
|
|
|
def mousePress( self, evt ):
|
|
data_pos = self.last_pos
|
|
mouse_in_imag = self.ui.pgPlotWidget_imag.underMouse()
|
|
mouse_in_real = self.ui.pgPlotWidget_real.underMouse()
|
|
msgBox = QMessageBox()
|
|
|
|
if self.ui.actionAdd_Peak.isChecked():
|
|
if mouse_in_imag:
|
|
self.addPeak(data_pos)
|
|
self.ui.actionAdd_Peak.setChecked(False)
|
|
else:
|
|
msgBox.setText("Click in imaginary part")
|
|
msgBox.exec_()
|
|
|
|
if self.ui.actionAdd_Cond.isChecked():
|
|
if mouse_in_imag:
|
|
self.addCond(data_pos)
|
|
self.ui.actionAdd_Cond.setChecked(False)
|
|
else:
|
|
msgBox.setText("Click in imaginary part")
|
|
msgBox.exec_()
|
|
|
|
if self.ui.actionYAFF.isChecked():
|
|
if mouse_in_imag:
|
|
self.addYaff(data_pos)
|
|
self.ui.actionYAFF.setChecked(False)
|
|
else:
|
|
msgBox.setText("Click in imaginary part")
|
|
msgBox.exec_()
|
|
|
|
if self.ui.actionAdd_PowerLaw.isChecked():
|
|
if mouse_in_imag:
|
|
self.addPowerComplex(data_pos)
|
|
self.ui.actionAdd_PowerLaw.setChecked(False)
|
|
else:
|
|
msgBox.setText("Click in imaginary part")
|
|
msgBox.exec_()
|
|
|
|
if self.ui.actionAdd_Eps_Infty.isChecked():
|
|
if mouse_in_real:
|
|
self.addEpsInfty(data_pos)
|
|
self.ui.actionAdd_Eps_Infty.setChecked(False)
|
|
else:
|
|
msgBox.setText("Click in real part")
|
|
msgBox.exec_()
|
|
|
|
|
|
def abortFit( self ):
|
|
for container in self.function_registry.get_registered_functions():
|
|
container.abort(True)
|
|
self._fit_thread.terminate()
|
|
|
|
def saveFitResult( self ):
|
|
"""
|
|
Saving fit parameters to fitresults.log
|
|
including temperature
|
|
"""
|
|
self._saveFitFigure()
|
|
if not os.path.exists("fitresults.log"):
|
|
f = open("fitresults.log", "w")
|
|
else:
|
|
f = open("fitresults.log", "a")
|
|
|
|
# prepare header
|
|
file_id = hashlib.md5(open(self._file_paths[self._current_file_index]).read()).hexdigest()
|
|
pre_header = "# Date: {date}\n".format(date=time.strftime("%Y-%m-%d"))
|
|
pre_header += "# Time: {time}\n# SessionID={id}\n".format(time=time.strftime("%H:%M:%S"), id=self.session_id)
|
|
pars = []
|
|
base_filename, file_ext = os.path.splitext(self.filepath)
|
|
header = "{n1:13}{n2:13}".format(n1="# 0:T", n2="1:invT")
|
|
varnum = 2 # T, invT are the first two columns
|
|
|
|
for i_fcn, fcn in enumerate(self.function_registry.get_registered_functions()):
|
|
fit_function_name = fcn.id_string
|
|
for i, name in enumerate(fcn.widget.names): # get variable names
|
|
header += "{n:13}{n_sd:13}".format(n="%i:%s"%(varnum, name), n_sd="%i:%s_sd"%(varnum+1, name))
|
|
varnum += 2
|
|
pre_header += "# %s\n"%fit_function_name
|
|
# write for each function an extra file
|
|
fit_filename = "%s_%i.fit"%(base_filename, i_fcn)
|
|
f_fcn = open(fit_filename, 'w')
|
|
# retrieve correct function type peak
|
|
#if fit_function_name == "hn":
|
|
f_fcn.write("# type=%s\n"%fcn.widget.func_type)
|
|
f_fcn.write("# SourceID=%s\n"%file_id)
|
|
#else:
|
|
# f_fcn.write("# type=%s\n"%fit_function_name)
|
|
for i, par in enumerate(fcn._beta): # params # TODO: ughh
|
|
if fcn._selector_mask is not None:
|
|
if fcn._selector_mask[i]:
|
|
pars.extend([par])
|
|
pars.extend([fcn._sd_beta[i]])
|
|
f_fcn.write('# param=%s %e %e\n'%(fcn.widget.names[i], par, fcn._sd_beta[i]))
|
|
else:
|
|
pars.extend([par])
|
|
pars.extend([fcn._sd_beta[i]])
|
|
f_fcn.write('# param=%s %e %e\n'%(fcn.widget.names[i], par, fcn._sd_beta[i]))
|
|
|
|
# finish writing fit function file
|
|
f_fcn.flush()
|
|
np.savetxt(f_fcn, fcn.resampleData(self.data.frequency))
|
|
f_fcn.close()
|
|
|
|
# append fit limits header
|
|
header += "%-13s%-13s\n"%("fit_xlow", "fit_xhigh")
|
|
|
|
# write new header if fit model changed TODO: more robust detection
|
|
if self._last_written_header != header:
|
|
f.write(pre_header)
|
|
f.write(header)
|
|
f.flush()
|
|
self._last_written_header = header
|
|
else:
|
|
pass
|
|
|
|
pars.insert(0, self.data.meta["T"])
|
|
pars.insert(1, 1e3/self.data.meta["T"])
|
|
pars.append(self.data.fit_limits[0])
|
|
pars.append(self.data.fit_limits[1])
|
|
pars = np.array([pars])
|
|
np.savetxt(f, pars, fmt='%-12.3e', delimiter=" ")
|
|
f.close()
|
|
|
|
def _saveFitFigure( self ):
|
|
fig = pyplot.figure(figsize=(3.54*1.4, 2.75*1.4))
|
|
|
|
font = { 'family': 'sans serif',
|
|
'weight': 'normal',
|
|
'size': 9 }
|
|
|
|
matplotlib.rc('font', **font)
|
|
pyplot.grid(linestyle="solid", alpha=0.3, color="0.5")
|
|
|
|
pyplot.loglog(self.data.frequency, self.data.epsilon.imag, 'bo', markersize=4, label="Data")
|
|
pyplot.loglog(self.data.frequency_fit, self.data.epsilon_fit.imag, 'r-', lw=1.2, label="Fit")
|
|
|
|
for fcn in self.function_registry.get_registered_functions():
|
|
f, eps = fcn.get_data()
|
|
label = fcn.id_label
|
|
color = hex2color(str(fcn.color.name()))
|
|
pyplot.loglog(f, eps[1], ls=":", color=color, lw=1, dashes=(1, 1), label=label)
|
|
|
|
for i in (0, 1): pyplot.axvline(x=self.data.fit_limits[i], color='b', ls="-", lw=0.5)
|
|
pyplot.legend(title="T=%.1f K"%(self.data.meta["T"]))
|
|
pyplot.xlabel('f/Hz')
|
|
pyplot.ylabel(u'ε"')
|
|
pyplot.ylim(self.data.epsilon.imag.min(), self.data.epsilon.imag.max())
|
|
#pyplot.savefig(os.path.splitext(self.filepath)[0]+".png")
|
|
pyplot.savefig(os.path.splitext(self.filepath)[0]+".pdf")
|
|
fig.clear()
|
|
del (fig)
|
|
|
|
def _saveFitFigureGrace( self ):
|
|
#agrtemplate = open('template.agr').read()
|
|
agrtemplate = """
|
|
|
|
"""
|
|
|
|
|
|
#TODO: need interface/method for adding function blocks, this is too repetitive
|
|
def addYaff( self, pos ):
|
|
_yaff = YAFF(plt_real=self.ui.pgPlotWidget_real,
|
|
plt_imag=self.ui.pgPlotWidget_imag,
|
|
limits=self.data.fit_limits)
|
|
_yaff.blockSignals(True)
|
|
_yaff.changedData.connect(self.updatePlot)
|
|
_yaff.removeObj.connect(self.delParamterObject)
|
|
gg_y = 10**pos.y()*2
|
|
gg_x = 1/(10**pos.x()*2*np.pi)
|
|
yaff_par = [gg_y, gg_x, 20.0, 1.0, 0.5, gg_x/100, 1.0, 1.0]
|
|
_yaff.setParameter(beta=yaff_par)
|
|
self.parameterWidget.add(_yaff.widget)
|
|
self.function_registry.register_function(_yaff)
|
|
self.updatePlot()
|
|
_yaff.blockSignals(False)
|
|
|
|
|
|
def addCond( self, pos ):
|
|
_conductivity = Conductivity(plt_real=self.ui.pgPlotWidget_real,
|
|
plt_imag=self.ui.pgPlotWidget_imag,
|
|
limits=self.data.fit_limits)
|
|
_conductivity.blockSignals(True)
|
|
_conductivity.changedData.connect(self.updatePlot)
|
|
_conductivity.removeObj.connect(self.delParamterObject)
|
|
cond_par = [0.0, 10**(pos.y()+pos.x())*2*np.pi, 1.0]
|
|
_conductivity.setParameter(beta=cond_par)
|
|
self.parameterWidget.add(_conductivity.widget)
|
|
self.function_registry.register_function(_conductivity)
|
|
self.updatePlot()
|
|
_conductivity.blockSignals(False)
|
|
|
|
|
|
def addPowerComplex( self, pos ):
|
|
_power_complex = PowerComplex(plt_imag=self.ui.pgPlotWidget_imag,
|
|
plt_real=self.ui.pgPlotWidget_real,
|
|
limits=self.data.fit_limits)
|
|
_power_complex.changedData.connect(self.updatePlot)
|
|
_power_complex.removeObj.connect(self.delParamterObject)
|
|
cond_par = [10**(pos.y()+pos.x())*2*np.pi, 1.0]
|
|
_power_complex.setParameter(beta=cond_par)
|
|
self.parameterWidget.add(_power_complex.widget)
|
|
self.function_registry.register_function(_power_complex)
|
|
self.updatePlot()
|
|
|
|
def addEpsInfty( self, pos ):
|
|
_eps_infty = Static(plt_imag=self.ui.pgPlotWidget_imag,
|
|
plt_real=self.ui.pgPlotWidget_real,
|
|
limits=self.data.fit_limits)
|
|
_eps_infty.changedData.connect(self.updatePlot)
|
|
_eps_infty.removeObj.connect(self.delParamterObject)
|
|
cond_par = [10**pos.y()]
|
|
_eps_infty.setParameter(beta=cond_par)
|
|
self.parameterWidget.add(_eps_infty.widget)
|
|
self.function_registry.register_function(_eps_infty)
|
|
self.updatePlot()
|
|
|
|
def delParamterObject( self, obj ):
|
|
self.function_registry.unregister_function(obj)
|
|
self.updatePlot()
|
|
|
|
def addPeak( self, pos ):
|
|
id_list = [key.id_num for key in
|
|
self.function_registry.get_registered_functions()
|
|
if key.id_string == 'hn']
|
|
self.peakId = 1
|
|
while self.peakId in id_list:
|
|
self.peakId += 1
|
|
_peak = Peak(id_num=self.peakId,
|
|
plt_real=self.ui.pgPlotWidget_real,
|
|
plt_imag=self.ui.pgPlotWidget_imag,
|
|
limits=self.data.fit_limits)
|
|
self.function_registry.register_function(_peak)
|
|
|
|
_peak.changedData.connect(self.updatePlot)
|
|
_peak.removeObj.connect(self.delParamterObject)
|
|
new_peak_beta0 = [2*10**pos.y(), 1/(2*np.pi*10**pos.x()), 1, 1]
|
|
_peak.setParameter(beta=new_peak_beta0)
|
|
self.parameterWidget.add(_peak.widget)
|
|
self.updatePlot()
|
|
|
|
def fitData_start( self, method ):
|
|
#fit_methods = [fit_odr_cmplx, fit_odr_imag, fit_lbfgsb, fit_anneal]
|
|
self.fit_boundary_real.hide()
|
|
self.fit_boundary_imag.hide()
|
|
fit_method = [
|
|
self._fit_method.fit_odr_cmplx,
|
|
self._fit_method.fit_odr_imag,
|
|
][method]
|
|
|
|
# build function list
|
|
p0, funcs, fixed_params = [], [], []
|
|
for fcn in self.function_registry.get_registered_functions():
|
|
p0.extend(fcn.getParameter())
|
|
funcs.append(fcn)
|
|
fixed_params.extend(fcn.getFixed())
|
|
fcn.clearData()
|
|
_freq, _fit = self.data.get_data()
|
|
|
|
if not self._fit_thread.isRunning():
|
|
#self._fit_method.fit_odr_cmplx(_freq, _fit, p0, fixed_params, funcs)
|
|
fit_method(_freq, _fit, p0, fixed_params, funcs)
|
|
self._fit_thread.start()
|
|
self.ui.statusbar.showMessage("Fitting ...")
|
|
else:
|
|
self.ui.statusbar.showMessage("Still fitting ...")
|
|
|
|
def fitData_update( self ):
|
|
self._fit_thread.quit()
|
|
odr_result = self._fit_method.result()
|
|
p0, funcs, fixed_params = [], [], []
|
|
for fcn in self.function_registry.get_registered_functions():
|
|
p0.extend(fcn.getParameter())
|
|
funcs.append(fcn)
|
|
fixed_params.extend(fcn.getFixed())
|
|
|
|
for container in self.function_registry.get_registered_functions():
|
|
container.abort(False)
|
|
|
|
self.data.set_fit(odr_result.beta, funcs)
|
|
self.ui.statusbar.showMessage(" ".join(odr_result.stopreason))
|
|
ndx = 0
|
|
for i, fcn in enumerate(self.function_registry.get_registered_functions()):
|
|
num_p = len(fcn.getParameter())
|
|
beta = odr_result.beta[ndx:num_p+ndx]
|
|
if odr_result.sd_beta is not None:
|
|
sd_beta = odr_result.sd_beta[ndx:num_p+ndx]
|
|
else:
|
|
sd_beta = None
|
|
fcn.setParameter(beta, sd_beta)
|
|
ndx += num_p
|
|
|
|
self.fit_boundary_real.show()
|
|
self.fit_boundary_imag.show()
|
|
|
|
def getFileNames( self ):
|
|
tmp = QFileDialog.getOpenFileNames(self, "Open file", "", '*.dat *.TXT')
|
|
if len(tmp) != 0:
|
|
self._file_paths = tmp
|
|
self._current_file_index = 0
|
|
path = unicode(self._file_paths[self._current_file_index])
|
|
self.openFile(path)
|
|
|
|
def nextFile( self ):
|
|
lim = self.fit_boundary_imag.getRegion() # store limits
|
|
if len(self._file_paths) > self._current_file_index+1: # wrap around
|
|
self._current_file_index += 1
|
|
else:
|
|
self._current_file_index = 0
|
|
path = unicode(self._file_paths[self._current_file_index])
|
|
self.openFile(path)
|
|
self.fit_boundary_imag.setRegion(lim)
|
|
|
|
def previousFile( self ):
|
|
lim = self.fit_boundary_imag.getRegion() # store limits
|
|
if self._current_file_index == 0: # wrap around
|
|
self._current_file_index = len(self._file_paths)-1
|
|
else:
|
|
self._current_file_index -= 1
|
|
path = unicode(self._file_paths[self._current_file_index])
|
|
self.openFile(path)
|
|
self.fit_boundary_imag.setRegion(lim)
|
|
|
|
def _sortInputFiles( self, files ):
|
|
return QStringList(sorted(files, key=lambda x: re.findall("\d+\.\d+K", x)))
|
|
|
|
|
|
def openFile( self, path ):
|
|
print "opening: %s"%path
|
|
self.filepath = path
|
|
Temp, _die_loss, _die_stor, _freq = bds_file_reader.FileReader.read_datafile(path)
|
|
|
|
self.setWindowTitle("%s - %.2f K"%(os.path.basename(path), Temp))
|
|
|
|
self.data.set_data(_freq, _die_stor, _die_loss)
|
|
self.data.meta["T"] = Temp
|
|
self.fit_boundary_imag.setRegion([np.log10(_freq.min()), np.log10(_freq.max())])
|
|
self.ui.pgPlotWidget_imag.disableAutoRange()
|
|
self.ui.pgPlotWidget_real.disableAutoRange()
|
|
|
|
self.ui.pgPlotWidget_imag.setXRange(np.log10(_freq.min()), np.log10(_freq.max()))
|
|
self.ui.pgPlotWidget_imag.setYRange(np.log10(_die_loss.min()), np.log10(_die_loss.max()))
|
|
|
|
self.ui.pgPlotWidget_real.setXRange(np.log10(_freq.min()), np.log10(_freq.max()))
|
|
self.ui.pgPlotWidget_real.setYRange(np.log10(_die_stor.min()), np.log10(_die_stor.max()))
|
|
|
|
|
|
#self.ui.pgPlotWidget_real.setRange(xRange=(_freq.min(), _freq.max()),
|
|
# yRange=(_die_stor.min(), _die_stor.max()) )
|
|
self.updatePlot()
|
|
|
|
|
|
def updatePlot( self ):
|
|
log10fmin, log10fmax = self.fit_boundary_imag.getRegion()
|
|
self.data.set_fit_xlimits(10**log10fmin, 10**log10fmax)
|
|
|
|
p0, funcs = [], []
|
|
for fcn in self.function_registry.get_registered_functions():
|
|
p0.extend(fcn.getParameter())
|
|
funcs.append(fcn)
|
|
|
|
|
|
# calculate parametrized curve
|
|
self.data.set_fit(p0, funcs)
|
|
|
|
|
|
# replot data and fit, TODO: replot only if measurement data changed
|
|
self.data.data_curve_real.setData(self.data.frequency, self.data.epsilon.real)
|
|
self.data.data_curve_imag.setData(self.data.frequency, self.data.epsilon.imag)
|
|
#print "updatePlot: ",self.data.frequency_fit, self.data.epsilon_fit
|
|
if len(funcs) > 0:
|
|
#print "funcs > 0:",self.data.frequency_fit, self.data.epsilon_fit
|
|
self.data.fitted_curve_real.setData(x=self.data.frequency_fit, y=self.data.epsilon_fit.real)
|
|
self.data.fitted_curve_imag.setData(x=self.data.frequency_fit, y=self.data.epsilon_fit.imag)
|
|
else:
|
|
self.data.fitted_curve_real.setData(x=np.array([np.nan]), y=np.array([np.nan]))
|
|
self.data.fitted_curve_imag.setData(x=np.array([np.nan]), y=np.array([np.nan]))
|
|
|
|
|
|
def updateIntermediatePlot( self, freq, intermediate_data ):
|
|
self.data.fitted_curve_real.setData(freq, intermediate_data[0])
|
|
self.data.fitted_curve_imag.setData(freq, intermediate_data[1])
|
|
|
|
def _update_fit_boundary_imag( self ):
|
|
"""
|
|
Update real region when with imag reagion
|
|
"""
|
|
self.fit_boundary_real.setRegion(self.fit_boundary_imag.getRegion())
|
|
self._update_fit_boundary()
|
|
|
|
def _update_fit_boundary_real( self ):
|
|
"""
|
|
Update imag region when with real reagion
|
|
"""
|
|
self.fit_boundary_imag.setRegion(self.fit_boundary_real.getRegion())
|
|
self._update_fit_boundary()
|
|
|
|
def _update_fit_boundary( self ):
|
|
"""
|
|
Update limits in container.
|
|
"""
|
|
for container in self.function_registry.get_registered_functions():
|
|
lims = [10**i for i in self.fit_boundary_real.getRegion()]
|
|
container.set_limits(lims)
|
|
|
|
|
|
def sigint_handler( *args ):
|
|
"""
|
|
Handler for the SIGINT signal (CTRL + C).
|
|
"""
|
|
sys.stderr.write('\r')
|
|
if QMessageBox.question(None, '', "Are you sure you want to quit?",
|
|
QMessageBox.Yes | QMessageBox.No,
|
|
QMessageBox.Yes) == QMessageBox.Yes:
|
|
QApplication.quit()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
signal.signal(signal.SIGINT, sigint_handler)
|
|
files = sys.argv[1:]
|
|
app = QApplication(sys.argv)
|
|
timer = QTimer()
|
|
timer.start(1000) # Check every second for Strg-c on Cmd line
|
|
timer.timeout.connect(lambda: None)
|
|
main = AppWindow(files=files)
|
|
main.showMaximized()
|
|
main.raise_()
|
|
sys.exit(app.exec_())
|