422 lines
15 KiB
Python
Executable File
422 lines
15 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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import os
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import sys
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import re
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import signal
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from PyQt4.QtCore import *
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from PyQt4.QtGui import *
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import matplotlib
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from mathlib import fit_anneal, fit_lbfgsb, fit_odr_cmplx, FunctionRegister
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matplotlib.use('agg')
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from matplotlib import pyplot
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from matplotlib.colors import hex2color
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#matplotlib.rc_file("default.mplrc")
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import numpy as N
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import QDSMain
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from data import Data, Conductivity, Peak, PowerComplex, Static
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import pyqtgraph as pg
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#import yaff
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from CustomWidgets import ParameterWidget
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USE_CROSSH=False
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class AppWindow(QMainWindow):
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def __init__(self, parent=None):
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super(AppWindow, self).__init__(parent)
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self.ui = QDSMain.Ui_MainWindow()
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self.ui.setupUi(self)
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self.picked_artist = None
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self.data = None
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actions = {
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self.ui.actionAdd_Peak:self.addPeak,
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self.ui.actionAdd_Cond:self.addCond,
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self.ui.actionAdd_PowerLaw:self.addPowerComplex,
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self.ui.actionAdd_Eps_Infty:self.addEpsInfty
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}
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self.myActionGroup = QActionGroup(self)
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for a in actions.keys(): self.myActionGroup.addAction(a)
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self.function_registry = FunctionRegister()
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self.Conductivity = None
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self._lines = dict()
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self.peakId = 0
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self.peakBoxes = {}
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self.parameterWidget = ParameterWidget()
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self.ui.dockWidget_3.setWidget(self.parameterWidget)
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## menubar
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fileMenu = self.menuBar().addMenu("File")
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openFile = QAction("&Open", self)
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openFile.setShortcut(QKeySequence.Open)
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openFile.triggered.connect(self.openFile)
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fileMenu.addAction(openFile)
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saveFile = QAction("&Save Fit Result", self)
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saveFile.setShortcut(QKeySequence.Save)
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saveFile.triggered.connect(self.saveFitResult)
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fileMenu.addAction(saveFile)
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# fitting methods
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fitMenu = self.menuBar().addMenu("Standard Fits")
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# lm
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fit_lmAction = QAction("&Levenberg-Marquardt", self)
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fit_lmAction.setShortcut(QKeySequence("Ctrl+F"))
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fitMenu.addAction(fit_lmAction)
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# lbfgsb
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fit_lbfgsbAction = QAction("&L-BFGS-B", self)
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fitMenu.addAction(fit_lbfgsbAction)
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# Simulated Annealing
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fit_annealAction = QAction("&Simulated Annealing", self)
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fitMenu.addAction(fit_annealAction)
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# YAFF
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yaffMenu = self.menuBar().addMenu("YAFF")
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start_yaff = QAction("&Startparam.", self)
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yaffMenu.addAction(start_yaff)
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fit_yaff = QAction("&Fit", self)
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yaffMenu.addAction(fit_yaff)
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self.signalMapper = QSignalMapper(self)
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for i, fit_action in enumerate([fit_lmAction, fit_lbfgsbAction, fit_annealAction
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]):
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self.signalMapper.setMapping(fit_action, i)
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fit_action.triggered.connect(self.signalMapper.map)
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self.signalMapper.mapped.connect(self.fitData)
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# save fitted values
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#self.ui.actionSave_FitResult.triggered.connect(self.saveFitResult)# replaced by menu
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self.data = Data()
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self.fit_boundary = pg.LinearRegionItem(brush=QColor(0,127,254,15))
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self.ui.graphicsView.addItem(self.data.data_curve_imag)
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self.ui.graphicsView.addItem(self.data.data_curve_real)
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self.ui.graphicsView.addItem(self.data.fitted_curve_imag)
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self.ui.graphicsView.addItem(self.data.fitted_curve_real)
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# cross hair
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if USE_CROSSH:
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#self.poslabel = pg.LabelItem(justify='right')
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self.horizontalLine = pg.InfiniteLine(angle=0)
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self.verticalLine = pg.InfiniteLine(angle=90)
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#self.ui.graphicsView.plotItem.addItem(self.poslabel)
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self.ui.graphicsView.addItem(self.horizontalLine)
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self.ui.graphicsView.addItem(self.verticalLine)
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self.ui.graphicsView.addItem(self.fit_boundary)
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self.ui.graphicsView.setLogMode(x=True, y=True)
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self.ui.graphicsView.showGrid(x=True, y=True)
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self.ui.graphicsView.setLabel("bottom","Frequency",units="Hz")
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self.ui.graphicsView.setLabel("left", "Dielectric loss", units="Debye")
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self.ui.graphicsView.disableAutoRange()
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#self.peak_box_layout = QGridLayout()
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#self.ui.scrollAreaWidgetContents.setLayout(self.peak_box_layout)
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##self.huh = pg.SignalProxy(, slot=self.mPE)
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sc = self.ui.graphicsView.scene()
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sc.sigMouseClicked.connect(self.mousePress)
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sc.sigMouseMoved.connect(self.updateCrosshair)
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def updateCrosshair(self,evt):
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vb = self.ui.graphicsView.getPlotItem().vb
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pos = vb.mapSceneToView(evt)
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self.last_pos = pos
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if USE_CROSSH:
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self.horizontalLine.setBounds([self.data.frequency.min(), self.data.frequency.max()])
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self.horizontalLine.setPos(pos.y())
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self.verticalLine.setPos(pos.x())
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#self.poslabel.setText("<span style='font-size: 12pt'>f=%0.1f Hz <span style='color: red'>e=%0.1f</span>"\
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# % (pos.x(),pos.y()))
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def mousePress(self, evt):
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data_pos = self.last_pos
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if self.ui.actionAdd_Peak.isChecked():
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self.addPeak(data_pos)
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self.ui.actionAdd_Peak.setChecked(False)
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if self.ui.actionAdd_Cond.isChecked():
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self.addCond(data_pos)
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self.ui.actionAdd_Cond.setChecked(False)
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if self.ui.actionAdd_PowerLaw.isChecked():
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self.addPowerComplex(data_pos)
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self.ui.actionAdd_PowerLaw.setChecked(False)
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if self.ui.actionAdd_Eps_Infty.isChecked():
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self.addEpsInfty(data_pos)
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self.ui.actionAdd_Eps_Infty.setChecked(False)
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def saveFitResult(self):
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"""
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Saving fit parameters to fitresults.log
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including temperature
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"""
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self.saveFitFigure()
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if not os.path.exists("fitresults.log"):
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f = open("fitresults.log", "w")
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else:
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f = open("fitresults.log", "a")
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# write header
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f.write("#%7s"%('T'))
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parfmt = "%8.2f" # T formatting
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# if self.Conductivity != None: pass# always true
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f.write("%9s%9s%9s " % ("e_s", "sig", "pow_sig"))
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parfmt += "%9.3g%9.3g%9.2f " # conductivity formatting
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for i, pb in enumerate(self.peakBoxes):
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enum_peak = ("e_inf_%i" % i, "tau_%i" % i, "alpha_%i" % i, "beta_%i" % i)
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f.write("%9s%9s%9s%9s " % enum_peak)
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print enum_peak
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parfmt += "%9.3g%9.3g%9.2f%9.2f" # peak formatting
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f.write("fit_xlow fit_xhigh") # TODO: store limits
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parfmt += "%9.3g%9.3g"
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f.write('\n')
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f.flush()
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#f.write("%3.2f "%(self.data.meta["T"]))
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pars = list(self.fitresult)
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pars.insert(0, self.data.meta["T"])
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pars.append(self.data.fit_limits[0])
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pars.append(self.data.fit_limits[1])
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N.savetxt(f, N.array([pars, ]), fmt=parfmt, delimiter=" ")
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f.close()
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def saveFitFigure(self):
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fig = pyplot.figure(figsize=(3.54, 2.75))
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font = {'family' : 'sans serif',
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'weight' : 'normal',
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'size' : 8}
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matplotlib.rc('font', **font)
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pyplot.loglog(self.data.frequency, self.data.epsilon.imag, 'bo', markersize=3, label="Data")
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pyplot.loglog(self.data.frequency, self.data.epsilon_fit, 'r-', lw=1, label="Fit")
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for i,peak in enumerate(self.peakBoxes):
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f,eps = peak.get_data()
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color = hex2color(str(peak.get_color().name()))
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pyplot.loglog(f,eps, ls="--", color=color , lw=0.75, label="Peak %i"%i)
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if self.Conductivity != None:
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f,eps = self.Conductivity.get_data()
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color = hex2color(str(self.Conductivity.get_color().name()))
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pyplot.loglog(f,eps, ls="-.", color=color, lw=0.75, label="Cond.")
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f,eps = self.Conductivity.get_epsilon_static()
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pyplot.loglog(f,eps, ls=":", color=color, lw=0.75, label=r'$\epsilon_0$')
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for i in (0,1): pyplot.axvline(x=self.data.fit_limits[i], color='g', ls="--")
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pyplot.legend(title = "T=%.1f K"%(self.data.meta["T"]))
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pyplot.grid()
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pyplot.xlabel('f/Hz')
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pyplot.ylabel('eps"')
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pyplot.savefig(os.path.splitext(self.filepath)[0]+".png")
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fig.clear()
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def addCond(self, pos):
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self.statusBar().showMessage("Click on graph")
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_conductivity = Conductivity(pgPlotWidget=self.ui.graphicsView, limits=self.data.fit_limits)
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_conductivity.changedData.connect(self.updatePlot)
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_conductivity.removeObj.connect(self.delParamterObject)
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cond_par = [10**(pos.y() + pos.x())*2*N.pi , 1.0]
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_conductivity.setParameter(beta=cond_par)
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self.parameterWidget.vlayout.insertWidget(1,_conductivity.widget)
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self.function_registry.register_function(_conductivity)
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self.parameterWidget.vlayout.update()
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self.updatePlot()
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def addEpsInfty(self, pos):
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self.statusBar().showMessage("Click on graph")
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_eps_infty = Static(pgPlotWidget=self.ui.graphicsView, limits=self.data.fit_limits)
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_eps_infty.changedData.connect(self.updatePlot)
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_eps_infty.removeObj.connect(self.delParamterObject)
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cond_par = [10**pos.y()]
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_eps_infty.setParameter(beta=cond_par)
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self.parameterWidget.vlayout.insertWidget(1,_eps_infty.widget)
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self.function_registry.register_function(_eps_infty)
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self.parameterWidget.vlayout.update()
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self.updatePlot()
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def addPowerComplex(self, pos):
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self.statusBar().showMessage("Click on graph")
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_power_complex = PowerComplex(pgPlotWidget=self.ui.graphicsView, limits=self.data.fit_limits)
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_power_complex.changedData.connect(self.updatePlot)
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_power_complex.removeObj.connect(self.delParamterObject)
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cond_par = [10**(pos.y() + pos.x())*2*N.pi , 1.0]
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_power_complex.setParameter(beta=cond_par)
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self.parameterWidget.vlayout.insertWidget(1,_power_complex.widget)
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self.function_registry.register_function(_power_complex)
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self.parameterWidget.vlayout.update()
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self.updatePlot()
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def delParamterObject(self, obj):
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print "unregister",obj
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#self.ui.graphicsView.removeItem(self.PowerComplex.data_curve_real)
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self.function_registry.unregister_function(obj)
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self.updatePlot()
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def addPeak(self, pos):
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self.statusBar().showMessage("Select Peak Position")
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id_list = [ self.peakBoxes[key] for key in self.peakBoxes.keys()]
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self.peakId = 1
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while self.peakId in id_list:
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self.peakId += 1
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_peak = Peak(id=self.peakId, mpl=self.ui.graphicsView, limits=self.data.fit_limits)
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_peak.changedData.connect(self.updatePlot)
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_peak.removeObj.connect(self.delParamterObject)
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new_peak = [2*10**pos.y(), 1 / (2*N.pi*10**pos.x()), 1, 1]
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_peak.setParameter(beta = new_peak)
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self.function_registry.register_function(_peak)
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self.peakBoxes[_peak] = self.peakId
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for i,pb in enumerate(self.peakBoxes.keys()):
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self.parameterWidget.vlayout.insertWidget(1,pb.widget)
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self.parameterWidget.vlayout.update()
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self.updatePlot()
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def delPeak(self):
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for i, peak in enumerate(self.peakBoxes.keys()):
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if peak.widget.isHidden():
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self.ui.graphicsView.removeItem(peak.mpl_line)
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self.parameterWidget.vlayout.removeWidget(peak.widget)
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self.function_registry.unregister_function(peak)
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self.peakBoxes.pop(peak)
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self.parameterWidget.vlayout.update()
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self.updatePlot()
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def fitData(self, method):
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log10fmin, log10fmax = self.fit_boundary.getRegion()
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self.data.set_fit_xlimits(10**log10fmin, 10**log10fmax)
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fit_methods = [fit_odr_cmplx, fit_lbfgsb, fit_anneal]
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# print "Limits (xmin, xmax, ymin, ymax)", self.data.fit_limits
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# build function list
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p0,funcs,fixed_params = [],[],[]
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for fcn in self.function_registry.get_registered_functions():
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p0.extend(fcn.getParameter())
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funcs.append(fcn.id_string)
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fixed_params.extend(fcn.getFixed())
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_freq, _fit = self.data.get_data()
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odr_result = fit_methods[method](_freq, _fit, p0, fixed_params, funcs)
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print "Set fit data"
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self.data.set_fit(odr_result.beta, funcs)
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self.ui.statusbar.showMessage(" ".join(odr_result.stopreason))
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result = odr_result.beta
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i=0
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for fcn in self.function_registry.get_registered_functions():
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num_p = len(fcn.getParameter())
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beta = odr_result.beta[i:num_p+i]
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sd_beta = odr_result.sd_beta[i:num_p+i]
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fcn.setParameter(beta, sd_beta)
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i += num_p
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self.updatePlot()
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def openFile(self):
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#path = unicode(QFileDialog.getOpenFileName(self, "Open file"))
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path = "MCM42PG0_199.96K.dat"
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self.filepath=path
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# TODO analyize file (LF,MF, HF) and act accordingly
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data = N.loadtxt(path, skiprows=4)
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self.setWindowTitle(os.path.basename(path))
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numpat = re.compile('\d+\.\d+')
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try:
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Temp = None
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for line in open(path).readlines():
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if re.search("Fixed", line) or re.search("Temp", line):
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print "Found line with Fixed or Temp"
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Temp = float(re.search(numpat, line).group())
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print "Temperature found in file:", Temp
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break
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if Temp == None: raise ValueError
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except:
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Temp = QInputDialog.getDouble(self, "No temperature found in data set", "Temperature/K:", value=0.00)[0]
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# mask the data to values > 0 (loglog plot)
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mask = (data[:, 1] > 0) & (data[:, 2] > 0) #& (data[:,2]>1e-3) & (data[:,0] > 1e-2)
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_freq = data[mask, 0]
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_die_stor = data[mask, 1]
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_die_loss = data[mask, 2]
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self.data.set_data(_freq, _die_stor, _die_loss)
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self.data.meta["T"] = Temp
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self.fit_boundary.setRegion([N.log10(_freq.min()), N.log10(_freq.max())])
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self.ui.graphicsView.enableAutoRange()
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self.updatePlot()
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self.ui.graphicsView.disableAutoRange()
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def updatePlot(self):
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p0,funcs = [],[]
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for fcn in self.function_registry.get_registered_functions():
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p0.extend(fcn.getParameter())
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funcs.append(fcn.id_string)
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# calculate parameterized curve
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self.data.set_fit(p0, funcs)
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# replot data and fit, TODO: replot only if data changed
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self.data.data_curve_real.setData(self.data.frequency, self.data.epsilon.real)
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self.data.data_curve_imag.setData(self.data.frequency, self.data.epsilon.imag)
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if len(funcs)> 0:
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self.data.fitted_curve_real.setData(self.data.frequency, self.data.epsilon_fit.real)
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self.data.fitted_curve_imag.setData(self.data.frequency, self.data.epsilon_fit.imag)
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def sigint_handler(*args):
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"""Handler for the SIGINT signal (CTRL + C).
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"""
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sys.stderr.write('\r')
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if QMessageBox.question(None, '', "Are you sure you want to quit?",
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QMessageBox.Yes | QMessageBox.No,
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QMessageBox.Yes) == QMessageBox.Yes:
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QApplication.quit()
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if __name__ == '__main__':
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signal.signal(signal.SIGINT, sigint_handler)
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app = QApplication(sys.argv)
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timer = QTimer()
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timer.start(1000) # Check every second for Strg-c on Cmd line
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timer.timeout.connect(lambda: None)
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main = AppWindow()
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main.showMaximized()
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main.raise_()
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sys.exit(app.exec_())
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