function registry with fixed container order
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@ -1,75 +1,78 @@
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# -*- encoding: utf8 -*-
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from libmath import yafflib
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from PyQt4.QtGui import QColor
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import numpy as np
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from libmath import yafflib
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from libmath.BDSlib import id_to_color
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from container_base import BaseObject
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from gui import ContainerWidgets
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from container_base import BaseContainer
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import gui.ContainerWidgets
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__author__ = 'markusro'
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class Conductivity(BaseObject):
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class Conductivity(BaseContainer):
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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 = ContainerWidgets.ConductivityWidget()
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self.widget = gui.ContainerWidgets.ConductivityWidget()
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self.color = QColor("blue")
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self.id_label = "Cond."
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self.id_string = "cond"
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self.param_number = 3
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def function(self, p, x ):
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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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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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class PowerComplex(BaseContainer):
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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 = ContainerWidgets.PowerLawWidget()
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self.widget = gui.ContainerWidgets.PowerLawWidget()
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self.color = QColor("#ff44c4")
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self.id_label = 'Power Law'
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self.id_string = "pwr"
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self.param_number = 2
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def function( self, p, x ):
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BaseObject.function(self,p,x)
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BaseContainer.function(self, p, x)
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om = 2*np.pi*x
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sgma,n = p
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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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class Static(BaseContainer):
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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 = ContainerWidgets.StaticWidget()
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self.widget = gui.ContainerWidgets.StaticWidget()
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self.color = QColor('#FF0F13')
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self.id_label = u'ε(∞)'
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self.id_string = "eps_infty"
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self.param_number = 1
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def function( self, p, x ):
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BaseObject.function(self,p,x)
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BaseContainer.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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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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class Peak(BaseContainer):
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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 = ContainerWidgets.PeakWidget()
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self.widget = gui.ContainerWidgets.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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@ -79,18 +82,18 @@ class Peak(BaseObject):
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self.param_number = 4
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def function( self, p, x ):
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BaseObject.function(self,p,x)
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eps,t,a,b = p
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BaseContainer.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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class YAFF(BaseContainer):
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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 = ContainerWidgets.YaffWidget()
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self.widget = gui.ContainerWidgets.YaffWidget()
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self.widget.on_model_changed.connect(self.change_model)
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self.widget.configuration_changed.connect(self.change_configuration)
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self.color = QColor(32, 120, 29, int(255*0.82))
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@ -101,19 +104,19 @@ class YAFF(BaseObject):
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self._selector_mask = self.widget.selector_mask
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@property
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def param_number(self):
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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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def param_number( self, num=None ):
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self._param_number = self._libyaff.params
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def change_configuration(self, t_list, tau_list):
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def change_configuration( self, t_list, tau_list ):
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self._libyaff.dist_tau = tau_list
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self._libyaff.time_points = t_list
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self.updateData()
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def change_model(self):
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def change_model( self ):
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self._libyaff = yafflib.Yaff(self.widget.getYaffType())
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self._selector_mask = self.widget.selector_mask
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self.id_label = self._libyaff.label
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@ -121,7 +124,7 @@ class YAFF(BaseObject):
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self.updateData()
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def function( self, p, x ):
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BaseObject.function(self,p,x)
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ya = self._libyaff.loss( p, x)
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BaseContainer.function(self, p, x)
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ya = self._libyaff.loss(p, x)
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cplx = np.array([ya.imag, ya.real])
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return cplx
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@ -6,12 +6,12 @@ import pyqtgraph as pg
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__author__ = 'markusro'
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class BaseObject(QObject):
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class BaseContainer(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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super(BaseContainer, self).__init__()
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myPen = pg.mkPen( style=Qt.DotLine,
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width=2.5)
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@ -84,7 +84,6 @@ class BaseObject(QObject):
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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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print c
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self.data_curve_real.setPen(color=c, style=Qt.DotLine, width=2.5)
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self.data_curve_imag.setPen(color=c, style=Qt.DotLine, width=2.5)
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@ -159,7 +159,32 @@ class FunctionRegister:
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#print "FR: ",self.registry
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def get_registered_functions( self ):
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return self.registry
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# returns functions, peaks sorted by tau
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sorted_functions = list()
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tau_comp = 0
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for i_fcn, fcn in enumerate(self.registry):
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if fcn.id_string == "hn":
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for i, varname in enumerate(fcn.widget.names):
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if varname == "tau":
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if fcn._beta[i] <= tau_comp:
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sorted_functions.append(fcn)
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else:
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sorted_functions.insert(0, fcn)
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tau_comp = fcn._beta[i]
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# eps_infty to the front
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elif fcn.id_string == "eps_infty":
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sorted_functions.insert(0, fcn)
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# sort the rest lexigraphically
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elif fcn.id_string == "pwr":
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sorted_functions.append(fcn)
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elif fcn.id_string == "cond":
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sorted_functions.append(fcn)
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elif fcn.id_string == "yaff":
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sorted_functions.append(fcn)
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else:
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sorted_functions.append(fcn)
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return sorted_functions
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# ############# deprecated #####################
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37
QDS.py → qds
37
QDS.py → qds
@ -252,49 +252,15 @@ class AppWindow(QMainWindow):
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pre_header += "# Time: {time}\n# SessionID={id}\n".format(time=time.strftime("%H:%M:%S"), id=self.session_id)
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pars = []
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base_filename, file_ext = os.path.splitext(self.filepath)
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# print "Registered Functions (saveFitResult): ",self.function_registry.get_registered_functions()
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header = "{n1:13}{n2:13}".format(n1="# 0:T", n2="1:invT")
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varnum = 2 # T, invT are the first two columns
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# sort peaks by time constant tau
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sorted_functions = list()
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tau_comp = 0
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for i_fcn, fcn in enumerate(self.function_registry.get_registered_functions()):
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if fcn.id_string == "hn":
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for i, varname in enumerate(fcn.widget.names):
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if varname == "tau":
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if fcn._beta[i] <= tau_comp:
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sorted_functions.append(fcn)
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else:
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sorted_functions.insert(0, fcn)
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tau_comp = fcn._beta[i]
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# eps_infty to the front
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for a in self.function_registry.get_registered_functions():
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print a.id_string
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if a.id_string == "eps_infty":
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sorted_functions.insert(0, a)
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print a
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# sort the rest lexigraphically
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for a in self.function_registry.get_registered_functions():
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if a.id_string == "pwr":
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sorted_functions.append(a)
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print a
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for a in self.function_registry.get_registered_functions():
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if a.id_string == "cond":
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sorted_functions.append(a)
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print a
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for a in self.function_registry.get_registered_functions():
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if a.id_string == "yaff":
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print a
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sorted_functions.append(a)
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print sorted_functions
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for i_fcn, fcn in enumerate(sorted_functions):
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fit_function_name = fcn.id_string
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for i, name in enumerate(fcn.widget.names): # get variable names
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header += "{n:13}{n_sd:13}".format(n="%i:%s"%(varnum, name), n_sd="%i:%s_sd"%(varnum+1, name))
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varnum += 2
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pre_header += "# %s\n"%fit_function_name
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# write for each function an extra file
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fit_filename = "%s_%i.fit"%(base_filename, i_fcn)
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f_fcn = open(fit_filename, 'w')
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@ -442,7 +408,6 @@ class AppWindow(QMainWindow):
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self.function_registry.get_registered_functions()
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if key.id_string == 'hn']
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self.peakId = 1
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print id_list
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while self.peakId in id_list:
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self.peakId += 1
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_peak = Peak(id_num=self.peakId,
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