267 lines
9.0 KiB
Python
267 lines
9.0 KiB
Python
from PyQt4.QtGui import QColor
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import numpy as np
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import pyqtgraph as pg
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from PyQt4.QtCore import *
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import CustomWidgets
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from mathlib import id_to_color, FitFunctionCreator, Functions
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import libyaff
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class Data:
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def __init__(self, frequency=np.zeros(1), die_real=np.zeros(1), die_imag=np.zeros(1)):
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self.frequency = frequency
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self.epsilon = die_real + 1j * die_imag
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self.frequency_fit = frequency
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self.epsilon_fit = die_real*0 + 1j * die_imag*0
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myPen_imag = pg.mkPen(width=3, color=(255,255,127))
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myPen_real = pg.mkPen(width=3, color=(51,255,127))
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self.data_curve_imag = pg.PlotDataItem(x=[np.nan], y=[np.nan],pen=QColor(0,0,0,0), symbol='o',
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symbolBrush=(255,127,0,127))
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self.data_curve_real = pg.PlotDataItem(x=[np.nan], y=[np.nan],pen=QColor(0,0,0,0), symbol='s',
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symbolBrush=(119,202,92,127))
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self.fitted_curve_imag = pg.PlotDataItem(np.array([np.nan]), np.array([np.nan]), pen=myPen_imag)
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self.fitted_curve_real = pg.PlotDataItem(np.array([np.nan]), np.array([np.nan]), pen=myPen_real)
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self.length = len(frequency)
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self.meta = dict()
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self.fit_limits = [frequency.min(), frequency.max(), die_imag.min(), die_imag.max()]
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self.fit_param = None
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self.fit_funcs = None # list of fit functions
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self.hide_funcs = None # remove these func from the data
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def set_fit(self, param, funcs):
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self.fit_funcs = funcs
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self.hide_funcs = []
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self.fit_param = param
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fit_real, fit_imag = FitFunctionCreator().fitfcn(param, self.frequency_fit, *funcs)
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self.epsilon_fit = fit_real + 1j*fit_imag
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def set_data(self,f,e_real,e_imag):
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self.frequency = f
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self.epsilon = e_real + 1j*e_imag
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self.epsilon_fit = 0*e_real + 1j*e_imag*0
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self.fit_limits = [f.min(), f.max(), e_imag.min(), e_imag.max()]
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self.data_curve_imag.setData(f,e_imag)
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self.data_curve_real.setData(f,e_real)
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def set_fit_xlimits(self, xmin, xmax):
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self.fit_limits[0] = xmin
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self.fit_limits[1] = xmax
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self.frequency_fit = self.frequency[(self.frequency <= xmax) & (self.frequency >= xmin)]
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def set_fit_ylimits(self, ymin, ymax):
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self.fit_limits[2] = ymin
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self.fit_limits[3] = ymax
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def get_data(self):
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#mask = np.ones(len(self.frequency), dtype='bool')
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mask = (self.frequency > self.fit_limits[0]) & (self.frequency < self.fit_limits[1])
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#mask &= (self.epsilon.imag > self.fit_limits[2]) & (self.epsilon.imag < self.fit_limits[3])
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return self.frequency[mask], self.epsilon[mask]
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def remove_curves(self):
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print "remove data_curve"
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#if self.data_curve is not None: self.data_curve.remove()
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print "remove fitted_curve"
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#if self.fitted_curve is not None: self.fitted_curve.remove()
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class BaseObject(QObject):
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changedData = pyqtSignal()
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removeObj = pyqtSignal(QObject)
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def __init__(self, plt_real=None, plt_imag=None, limits=None):
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super(BaseObject, self).__init__()
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myPen = pg.mkPen( style=Qt.DotLine,
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width=2.5)
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self.data_curve_real = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen)
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self.plt_real = plt_real
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self.plt_real.addItem(self.data_curve_real)
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self.data_curve_imag = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen)
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self.plt_imag = plt_imag
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self.plt_imag.addItem(self.data_curve_imag)
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self.limits = limits
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# private varaibles
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self.functions = Functions()
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self._color = QColor("white")
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self._id = None
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self._widget = None
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self._frequency = np.logspace(np.log10(limits[0]), np.log10(limits[1]), 256)
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self._data = None
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self._func = None
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self._beta = None
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self._sd_beta = None
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self._param_number = 0
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@property
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def param_number(self):
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return self._param_number
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@param_number.setter
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def param_number(self, num):
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self._param_number = num
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@property
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def id_string(self):
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return self._id
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@id_string.setter
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def id_string(self, id):
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self._func = self.functions.get_function(id)
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self._id = id
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@property
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def color(self):
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return self._color
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@color.setter
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def color(self, c):
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self._color = c
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self.data_curve_real.setPen(c)
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self.data_curve_imag.setPen(c)
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@property
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def widget(self):
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return self._widget
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@widget.setter
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def widget(self, wdgt):
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self._widget = wdgt
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self._widget.changedTable.connect(self.updateData) # TODO better to use self.setParameter
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self._widget.removeMe.connect(self.removeMe)
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def getParameter(self):
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p = self.widget.getTable() # TODO ugly ... should return self._beta etc ...?
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return p
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def getFixed(self):
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p = self.widget.fixedParameter()
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return p
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def setParameter(self, beta, sd_beta=None):
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self._beta = beta
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self._sd_beta = sd_beta
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self.widget.updateTable(beta, sd_beta)
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self.updateData()
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def get_data(self):
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return self._frequency, self._data
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def removeMe(self):
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self.plt_imag.removeItem(self.data_curve_imag)
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self.plt_real.removeItem(self.data_curve_real)
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self.removeObj.emit(self)
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self.changedData.emit()
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def updateData(self):
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self._data = self._func(self.getParameter(), self._frequency)
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self.data_curve_real.setData(x=self._frequency, y=self._data[0])
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self.data_curve_imag.setData(x=self._frequency, y=self._data[1])
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self.changedData.emit()
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def function(self,p,x):
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raise NotImplementedError, "This needs to be implemented in your subclass"
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class Conductivity(BaseObject):
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def __init__( self, plt_imag=None, plt_real=None, limits=None ):
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super(Conductivity, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
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self.widget = CustomWidgets.ConductivityWidget()
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self.color = QColor("blue")
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self.id_string = "conductivity"
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self.param_number = 3
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def function(self, p, x ):
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om = 2*np.pi*x
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sgma, isgma, n = p
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cond = sgma/(om**n) + isgma/(1j*om**n) # Jonscher (Universal Dielectric Response: e",e' prop sigma/omega**n
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cplx = np.array([cond.real, -cond.imag])
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return cplx
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class PowerComplex(BaseObject):
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def __init__( self, plt_real=None, plt_imag=None, limits=None ):
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super(PowerComplex, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
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self.widget = CustomWidgets.PowerLawWidget()
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self.color = QColor("#ff44c4")
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self.id_string = 'power'
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self.param_number = 2
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def function( self, p, x ):
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om = 2*np.pi*x
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sgma,n = p
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power = sgma/(om*1j)**n
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cplx = np.array([power.real, -power.imag])
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return cplx
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class Static(BaseObject):
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def __init__( self, plt_real=None, plt_imag=None, limits=None ):
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super(Static, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
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self.widget = CustomWidgets.StaticWidget()
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self.color = QColor('#FF0F13')
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self.id_string = 'static'
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self.param_number = 1
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def function( self, p, x ):
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eps_inf = p[0]
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static = np.ones( (2,x.size) )*eps_inf
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static[1,:] *= 0 # set imag part zero
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return static
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class Peak(BaseObject):
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def __init__( self, id_num=None, plt_real=None, plt_imag=None, limits=None ):
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super(Peak, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
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self.widget = CustomWidgets.PeakWidget()
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self.widget.setId(id_num)
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self.color = id_to_color(id_num)
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self.widget.setColor(self.color)
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self.id_num = id_num
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self.id_string = "hn"
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self.param_number = 4
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def function( self, p, x ):
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eps,t,a,b = p
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om = 2*np.pi*x
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hn = eps/(1+(1j*om*t)**a)**b
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cplx = np.array([hn.real, -hn.imag])
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return cplx
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class YAFF(BaseObject):
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def __init__( self, plt_real=None, plt_imag=None, limits=None ):
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super(YAFF, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
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self.widget = CustomWidgets.YaffWidget()
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self.widget.on_model_changed.connect(self.change_model)
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self.id_string = "yaff"
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self._libyaff = libyaff.Yaff(self.widget.getYaffType())
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self._param_number = self._libyaff.params
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@property
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def param_number(self):
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return self._param_number
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@param_number.setter
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def param_number(self, num=None):
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self._param_number = self._libyaff.params
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def change_model(self):
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self._libyaff = libyaff.Yaff(self.widget.getYaffType())
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self.param_number = self._libyaff.params
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self.updateData()
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def function( self, p, x ):
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ya = self._libyaff.loss( p[:self.param_number], x)
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cplx = np.array([ya.imag, ya.real])
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return cplx
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