import sys import wx import wx.lib import numpy,math import copy from sans.guicomm.events import StatusEvent from sans.guiframe.utils import format_number from modelpage import ModelPage from modelpage import format_number (ModelEventbox, EVT_MODEL_BOX) = wx.lib.newevent.NewEvent() _BOX_WIDTH = 80 #TODO: FitPage1D inherits from ModelPage but doesn't call its __init__ method! #TODO: refactor this class to have an __init__ that deals with data only, then calls a UI builder method. class FitPage1D(ModelPage): """ FitPanel class contains fields allowing to display results when fitting a model and one data @note: For Fit to be performed the user should check at least one parameter on fit Panel window. """ ## Internal name for the AUI manager window_name = "Fit page" ## Title to appear on top of the window window_caption = "Fit Page" name=None def __init__(self, parent,data, *args, **kwargs): wx.ScrolledWindow.__init__(self, parent, *args, **kwargs) """ Initialization of the Panel """ #TODO: remove this once the inheritence is cleaned up ## Data member to store the dispersion object created self._disp_obj_dict = {} #Data used for fitting self.data = data # flag to allow data2D plot self.enable2D=False #fit page manager self.manager = None #Store the parent of this panel parent # For this application fitpanel is the parent self.parent = parent # Event_owner is the owner of model event self.event_owner = None #panel interface self.vbox = wx.BoxSizer(wx.VERTICAL) self.sizer9 = wx.GridBagSizer(5,5) self.sizer8 = wx.GridBagSizer(5,5) self.sizer7 = wx.GridBagSizer(5,5) self.sizer6 = wx.GridBagSizer(5,5) self.sizer5 = wx.GridBagSizer(5,5) self.sizer4 = wx.GridBagSizer(5,5) self.sizer3 = wx.GridBagSizer(5,5) self.sizer2 = wx.GridBagSizer(5,5) self.sizer1 = wx.GridBagSizer(5,5) # Add layer #data info layer self.vbox.Add(self.sizer1) #data range self.vbox.Add(self.sizer2) #instrument smearing selection layer self.vbox.Add(self.sizer3) #model selection self.vbox.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0) self.vbox.Add(self.sizer4) #model paramaters layer self.vbox.Add(self.sizer5) #polydispersion selected self.vbox.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0) self.vbox.Add(self.sizer6) #combox box for type of dispersion self.vbox.Add(self.sizer7) #dispersion parameters layer self.vbox.Add(self.sizer8) #fit info layer self.vbox.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0) self.vbox.Add(self.sizer9) #---------sizer 1 draw-------------------------------- #Filling the sizer containing data related fields self.DataSource =wx.StaticText(self, -1,str(data.name)) ix = 0 iy = 1 self.sizer1.Add(wx.StaticText(self, -1, 'Data Source Name : '),(iy,ix),\ (1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer1.Add(self.DataSource,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) #---------sizer 2 draw-------------------------------- #set maximum range for x in linear scale if not hasattr(self.data,"data"): #Display only for 1D data fit ix = 0 iy = 1 # Minimum value of data self.data_min = wx.StaticText(self, -1,str(format_number(numpy.min(data.x)))) # Maximum value of data self.data_max = wx.StaticText(self, -1,str(format_number(numpy.max(data.x)))) self.text4_3 = wx.StaticText(self, -1, 'Maximum Data Range(Linear)', style=wx.ALIGN_LEFT) self.sizer2.Add(self.text4_3,(iy,ix),(1,1),\ wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 2 self.sizer2.Add(wx.StaticText(self, -1, 'Min :'),(iy, ix),(1,1),\ wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer2.Add(self.data_min,(iy, ix),(1,1),\ wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer2.Add(wx.StaticText(self, -1, 'Max : '),(iy, ix),(1,1),\ wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer2.Add(self.data_max,(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) #----sizer 3 draw-------------------------------- #Filling the sizer containing instruments smearing info. self.disable_smearer = wx.RadioButton(self, -1, 'No', (10, 10), style=wx.RB_GROUP) self.enable_smearer = wx.RadioButton(self, -1, 'Yes', (10, 30)) self.Bind(wx.EVT_RADIOBUTTON, self.onSmear, id=self.disable_smearer.GetId()) self.Bind(wx.EVT_RADIOBUTTON, self.onSmear, id=self.enable_smearer.GetId()) ix = 0 iy = 1 self.sizer3.Add(wx.StaticText(self,-1,'Instrument Smearing'),(iy,ix),(1,1)\ , wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer3.Add(self.enable_smearer,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer3.Add(self.disable_smearer,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix =0 iy+=1 self.sizer3.Add((20,20),(iy,ix),(1,1),wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) #------------------ sizer 4 draw------------------------ # This sizer contains model list and chisqr value #filling sizer4 self.modelbox = wx.ComboBox(self, -1) self.tcChi = wx.StaticText(self, -1, str(0), style=wx.ALIGN_LEFT) self.tcChi.Hide() self.text1_1 = wx.StaticText(self, -1, 'Chi2/dof', style=wx.ALIGN_LEFT) self.text1_1.Hide() ix = 0 iy = 1 self.sizer4.Add(wx.StaticText(self,-1,'Model'),(iy,ix),(1,1)\ , wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer4.Add(self.modelbox,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer4.Add(self.text1_1,(iy,ix),(1,1),\ wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer4.Add(self.tcChi,(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) #----------sizer6------------------------------------------------- #Sizer containing info on polydispersity self.disable_disp = wx.RadioButton(self, -1, 'No', (10, 10), style=wx.RB_GROUP) self.enable_disp = wx.RadioButton(self, -1, 'Yes', (10, 30)) self.Bind(wx.EVT_RADIOBUTTON, self.Set_DipersParam, id=self.disable_disp.GetId()) self.Bind(wx.EVT_RADIOBUTTON, self.Set_DipersParam, id=self.enable_disp.GetId()) ix= 0 iy=1 self.sizer6.Add(wx.StaticText(self,-1,'Polydispersity: '),(iy,ix),(1,1)\ , wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer6.Add(self.enable_disp ,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer6.Add(self.disable_disp ,(iy,ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix =0 iy+=1 self.sizer6.Add((20,20),(iy,ix),(1,1),wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) #---------sizer 9 draw---------------------------------------- id = wx.NewId() self.btFit =wx.Button(self,id,'Fit') self.btFit.Bind(wx.EVT_BUTTON, self.onFit,id=id) self.btFit.SetToolTipString("Perform fit.") ## Q range # Reversed to the codes; Need to think carefully about consistency in q between 2D plot and fitting if not hasattr(self.data,"data"): self.qmin_x= numpy.min(self.data.x) self.qmax_x= numpy.max(self.data.x) self.num_points= len(self.data.x) else: # Reversed to the codes; Need to think carefully about consistency in q between 2D plot and fitting radius1= math.sqrt(math.pow(self.data.xmin, 2)+ math.pow(self.data.ymin, 2)) radius2= math.sqrt(math.pow(self.data.xmax, 2)+ math.pow(self.data.ymin, 2)) radius3= math.sqrt(math.pow(self.data.xmin, 2)+ math.pow(self.data.ymax, 2)) radius4= math.sqrt(math.pow(self.data.xmax, 2)+ math.pow(self.data.ymax, 2)) self.qmin_x= 0 self.qmax_x= math.sqrt(math.pow(max(math.fabs(self.data.xmax),math.fabs(self.data.xmin)),2) +math.pow(max(math.fabs(self.data.ymax),math.fabs(self.data.ymin)),2))#self.data.xmax self.num_points= 100 # The minimum fitting range self.qmin = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) self.qmin.SetValue(str(format_number(self.qmin_x))) self.qmin.SetToolTipString("Minimun value of x in linear scale.") self.qmin.Bind(wx.EVT_KILL_FOCUS, self._onparamEnter) self.qmin.Bind(wx.EVT_TEXT_ENTER, self._onparamEnter) self.qmin.Enable() #The maximum fitting range self.qmax = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) self.qmax.SetValue(str(format_number(self.qmax_x))) self.qmax.SetToolTipString("Maximum value of x in linear scale.") self.qmax.Bind(wx.EVT_KILL_FOCUS, self._onparamEnter) self.qmax.Bind(wx.EVT_TEXT_ENTER, self._onparamEnter) self.qmax.Enable() #The number of points to plots self.npts = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20)) self.npts.SetValue(format_number(self.num_points)) self.npts.SetToolTipString("Number of point to plot.") self.npts.Bind(wx.EVT_KILL_FOCUS, self._onparamEnter) self.npts.Bind(wx.EVT_TEXT_ENTER, self._onparamEnter) self.npts.Disable() self.npts.Hide() ix = 0 iy = 1 self.sizer9.Add(wx.StaticText(self, -1, 'Fitting Range'),(iy, ix),(1,1),\ wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer9.Add(wx.StaticText(self, -1, 'Min'),(iy, ix),(1,1),\ wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer9.Add(wx.StaticText(self, -1, 'Max'),(iy, ix),(1,1),\ wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix = 0 iy += 1 self.sizer9.Add(wx.StaticText(self, -1, 'Q range'),(iy, ix),(1,1),\ wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) ix += 1 self.sizer9.Add(self.qmin,(iy, ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer9.Add(self.qmax,(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer9.Add(self.npts,(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix += 1 self.sizer9.Add(self.btFit,(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) ix =0 iy+=1 self.sizer9.Add((20,20),(iy,ix),(1,1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) # Contains link between model ,all its parameters, and panel organization self.parameters=[] # Contains list of parameters that cannot be fitted and reference to #panel objects self.fixed_param=[] # Contains list of parameters with dispersity and reference to #panel objects self.fittable_param=[] #list of dispersion paramaters self.disp_list=[] #contains link between a model and selected parameters to fit self.param_toFit=[] # model on which the fit would be performed self.model=None self.back_up_model= None #dictionary of model name and model class self.model_list_box={} if self.model == None: self.qmin.Disable() self.qmax.Disable() else: self.qmin.Enable() self.qmax.Enable() self.vbox.Layout() self.vbox.Fit(self) self.SetSizer(self.vbox) self.SetScrollbars(20,20,55,40) self.Centre() self.Layout() self.GrandParent.GetSizer().Layout() def compute_chisqr2D(self): """ compute chi square given a model and data 2D and set the value to the tcChi txtcrl """ flag=self.checkFitRange() res=[] if flag== True: try: self.qmin_x = float(self.qmin.GetValue()) self.qmax_x = float(self.qmax.GetValue()) for i in range(len(self.data.x_bins)): for j in range(len(self.data.y_bins)): #Check the range containing data between self.qmin_x and self.qmax_x if math.pow(self.data.x_bins[i],2)+math.pow(self.data.y_bins[j],2)>=math.pow(self.qmin_x,2): if math.pow(self.data.x_bins[i],2)+math.pow(self.data.y_bins[j],2)<=math.pow(self.qmax_x,2): chisqrji=(self.data.data[j][i]- self.model.runXY(\ [self.data.y_bins[j],self.data.x_bins[i]]))\ /self.data.err_data[j][i] #Vector containing residuals res.append( math.pow(chisqrji,2) ) # compute sum of residual sum=0 for item in res: if numpy.isfinite(item): sum +=item self.tcChi.SetLabel(format_number(math.fabs(sum/ len(res)))) except: wx.PostEvent(self.parent.GrandParent, StatusEvent(status=\ "Chisqr cannot be compute: %s"% sys.exc_value)) return def compute_chisqr(self): """ compute chi square given a model and data 1D and set the value to the tcChi txtcrl """ flag=self.checkFitRange() if flag== True: try: if hasattr(self.data,"data"): self.compute_chisqr2D() return else: self.qmin_x = float(self.qmin.GetValue()) self.qmax_x = float(self.qmax.GetValue()) # return residuals within self.qmin_x and self.qmax_x x,y,dy = [numpy.asarray(v) for v in (self.data.x,self.data.y,self.data.dy)] if self.qmin_x==None and self.qmax_x==None: fx =numpy.asarray([self.model.run(v) for v in x]) temp=(y - fx)/dy res= temp*temp else: idx = (x>= self.qmin_x) & (x <=self.qmax_x) fx = numpy.asarray([self.model.run(item)for item in x[idx ]]) temp=(y[idx] - fx)/dy[idx] res= temp*temp #sum of residuals sum=0 for item in res: if numpy.isfinite(item): sum +=item self.tcChi.SetLabel(format_number(math.fabs(sum/ len(res)))) except: wx.PostEvent(self.parent.GrandParent, StatusEvent(status=\ "Chisqr cannot be compute: %s"% sys.exc_value)) return def _on_select_model(self,event): """ react when a model is selected from page's combo box post an event to its owner to draw an appropriate theory """ self.btFit.SetFocus() self.disable_disp.SetValue(True) self.sizer8.Clear(True) self.sizer7.Clear(True) self.vbox.Layout() self.SetScrollbars(20,20,55,40) self.Layout() self.parent.GetSizer().Layout() for item in self.model_list_box.itervalues(): name = item.__name__ if hasattr(item, "name"): name = item.name if name == None: self.qmin.Disable() self.qmax.Disable() else: self.qmin.Enable() self.qmax.Enable() if name ==event.GetString(): try: self.model=item() self.back_up_model= self.model.clone() evt = ModelEventbox(model=self.model,name=name) wx.PostEvent(self.event_owner, evt) self.text1_1.Show() self.compute_chisqr() self.tcChi.Show() except: raise #ValueError,"model.name is not equal to model class name" break def onFit(self,event): """ signal for fitting""" flag=self.checkFitRange() self.set_manager(self.manager) self.qmin_x=float(self.qmin.GetValue()) self.qmax_x =float( self.qmax.GetValue()) if len(self.param_toFit) >0 and flag==True: self.manager.schedule_for_fit( value=1,fitproblem =None) if hasattr(self.data, "data"): #single fit for Data2D self.manager._on_single_fit(qmin=self.qmin_x,qmax=self.qmax_x, ymin=self.data.ymin, ymax=self.data.ymax, xmin=self.data.xmin,xmax=self.data.xmax) else: #single fit for Data1D self.manager._on_single_fit(qmin=self.qmin_x,qmax=self.qmax_x) self.vbox.Layout() self.SetScrollbars(20,20,55,40) self.Layout() self.parent.GetSizer().Layout() else: wx.PostEvent(self.parent.parent, StatusEvent(status=\ "Select at least one parameter to fit ")) def _onTextEnter(self,event): """ set a flag to determine if the fitting range entered by the user is valid """ try: flag=self.checkFitRange() if flag==True and self.model!=None: self.manager.redraw_model(float(self.xmin.GetValue())\ ,float(self.xmax.GetValue())) except: wx.PostEvent(self.parent.GrandParent, StatusEvent(status=\ "Drawing Error:wrong value entered %s"% sys.exc_value)) def get_param_list(self): """ @return self.param_toFit: list containing references to TextCtrl checked.Theses TextCtrl will allow reference to parameters to fit. @raise: if return an empty list of parameter fit will nnote work properly so raise ValueError,"missing parameter to fit" """ if self.param_toFit !=[]: return self.param_toFit else: raise ValueError,"missing parameter to fit" def _onparamEnter(self,event): """ when enter value on panel redraw model according to changed """ self.set_model() try: self.compute_chisqr() except: pass def set_model(self): """ Hide panel object related to the previous fit and set values entered by the used inside the model """ if len(self.parameters) !=0 and self.model !=None: # Flag to register when a parameter has changed. for item in self.parameters: try: self.text2_3.Hide() item[2].Hide() item[3].Clear() item[3].Hide() except: pass self.set_model_parameter() def select_all_param(self,event): """ set to true or false all checkBox given the main checkbox value cb1 """ self.select_all_param_helper() def select_param(self,event): """ Select TextCtrl checked for fitting purpose and stores them in self.param_toFit=[] list """ self.param_toFit=[] for item in self.parameters: #Select parameters to fit for list of primary parameters if item[0].GetValue()==True: list= [item[0],item[1],item[2],item[3]] if not (list in self.param_toFit): self.param_toFit.append(list ) else: #remove parameters from the fitting list if item in self.param_toFit: self.param_toFit.remove(item) #Select parameters to fit for list of fittable parameters with dispersion for item in self.fittable_param: if item[0].GetValue()==True: list= [item[0],item[1],item[2],item[3]] if not (list in self.param_toFit): self.param_toFit.append(list ) else: #remove parameters from the fitting list if item in self.param_toFit: self.param_toFit.remove(item) #Set the value of checkbox that selected every checkbox or not if len(self.parameters)+len(self.fittable_param) ==len(self.param_toFit): self.cb1.SetValue(True) else: self.cb1.SetValue(False) def onsetValues(self,chisqr, out,cov): """ Build the panel from the fit result @param chisqr:Value of the goodness of fit metric @param out:list of parameter with the best value found during fitting @param cov:Covariance matrix """ self.tcChi.SetLabel(format_number(chisqr)) params = {} is_modified = False has_error = False #set the panel when fit result are float not list if out.__class__==numpy.float64: self.param_toFit[0][1].SetValue(format_number(out)) self.param_toFit[0][1].Refresh() if cov !=None : self.text2_3.Show() self.param_toFit[0][2].Show() self.param_toFit[0][3].Clear() self.param_toFit[0][3].SetValue(format_number(cov[0])) self.param_toFit[0][3].Show() else: i=0 j=0 #Set the panel when fit result are list for item in self.param_toFit: if( out != None ) and len(out)<=len(self.param_toFit)and i < len(out): item[1].SetValue(format_number(self.model.getParam(item[0].GetLabelText()))) item[1].Refresh() if(cov !=None)and len(cov)<=len(self.param_toFit)and i < len(cov): self.text2_3.Show() item[2].Show() item[3].Clear() for j in range(len(out)): if out[j]==self.model.getParam(item[0].GetLabelText()): break item[3].SetValue(format_number(cov[j])) item[3].Show() i+=1 self.vbox.Layout() self.SetScrollbars(20,20,55,40) self.Layout() self.GrandParent.GetSizer().Layout() def onSmear(self, event): """ Create a smear object that will change the way residuals are compute when fitting """ smear =None msg="" if self.enable_smearer.GetValue(): from DataLoader.qsmearing import smear_selection smear =smear_selection( self.data ) if hasattr(self.data,"dxl"): msg= ": Resolution smearing parameters" if hasattr(self.data,"dxw"): msg= ": Slit smearing parameters" if smear ==None: wx.PostEvent(self.manager.parent, StatusEvent(status=\ "Data contains no smearing information")) else: wx.PostEvent(self.manager.parent, StatusEvent(status=\ "Data contains smearing information %s"%msg)) self.manager.set_smearer(smear)