fitting.py @ d292959

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since d292959 was d7d143b0, checked in by Gervaise Alina <gervyh@…>, 16 years ago
need to fix help html
Property mode set to `100644`
File size: 24.0 KB

Rev	Line
[d89f09b]	1	import os,os.path, re
	2	import sys, wx, logging
	3	import string, numpy, pylab, math
	4
[3b19ac9]	5	from copy import deepcopy
[6f73a08]	6	from danse.common.plottools.plottables import Data1D, Theory1D, Data2D
	7	from danse.common.plottools.PlotPanel import PlotPanel
[d89f09b]	8	from sans.guicomm.events import NewPlotEvent, StatusEvent
[6f73a08]	9	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
[d89f09b]	10	from fitproblem import FitProblem
	11	from fitpanel import FitPanel
	12
[2dbb681]	13	import models,modelpage
[e1a310f]	14	import fitpage1D,fitpage2D
[dabb633]	15	import park
[44bbf6a]	16	class Theory2D(Data2D):
	17	def __init__(self,image=None,err_image=None,xmin=None,
	18	xmax=None,ymin=None,ymax=None,zmin=None,zmax=None):
	19	Data2D.__init__(self,image,err_image,xmin,
	20	xmax,ymin,ymax,zmin,zmax)
[d89f09b]	21	class Plugin:
	22	"""
[dabb633]	23	Fitting plugin is used to perform fit
[d89f09b]	24	"""
	25	def __init__(self):
	26	## Plug-in name
	27	self.sub_menu = "Fitting"
	28
	29	## Reference to the parent window
	30	self.parent = None
	31	self.menu_mng = models.ModelManager()
	32	## List of panels for the simulation perspective (names)
	33	self.perspective = []
	34	# Start with a good default
	35	self.elapsed = 0.022
	36	self.fitter = None
	37
	38	#Flag to let the plug-in know that it is running standalone
	39	self.standalone=True
	40	## Fit engine
[3b19ac9]	41	self._fit_engine = 'scipy'
[d89f09b]	42	# Log startup
	43	logging.info("Fitting plug-in started")
	44
	45	def populate_menu(self, id, owner):
	46	"""
	47	Create a menu for the Fitting plug-in
	48	@param id: id to create a menu
	49	@param owner: owner of menu
	50	@ return : list of information to populate the main menu
	51	"""
	52	#Menu for fitting
	53	self.menu1 = wx.Menu()
	54	id1 = wx.NewId()
	55	self.menu1.Append(id1, '&Show fit panel')
	56	wx.EVT_MENU(owner, id1, self.on_perspective)
[3b19ac9]	57	id3 = wx.NewId()
[442895f]	58	self.menu1.AppendCheckItem(id3, "park")
[3b19ac9]	59	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	60
	61	#menu for model
	62	menu2 = wx.Menu()
	63	self.menu_mng.populate_menu(menu2, owner)
	64	id2 = wx.NewId()
	65	owner.Bind(models.EVT_MODEL,self._on_model_menu)
[2dbb681]	66	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
[d89f09b]	67	self.fit_panel.set_owner(owner)
	68	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	69	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[e1a310f]	70	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
[3b19ac9]	71	#create menubar items
[d89f09b]	72	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	73
	74
	75	def help(self, evt):
	76	"""
	77	Show a general help dialog.
	78	TODO: replace the text with a nice image
	79	"""
[d7d143b0]	80	from helpDialog import HelpWindow
	81	dialog = HelpWindow(None, -1, 'HelpWindow')
	82	if dialog.ShowModal() == wx.ID_OK:
	83	pass
	84	dialog.Destroy()
	85
[d89f09b]	86
	87	def get_context_menu(self, graph=None):
	88	"""
	89	Get the context menu items available for P(r)
	90	@param graph: the Graph object to which we attach the context menu
	91	@return: a list of menu items with call-back function
	92	"""
	93	self.graph=graph
	94	for item in graph.plottables:
[693ab78]	95	if item.__class__.__name__ is "Data2D":
[2dbb681]	96	return [["Select data for Fitting",\
	97	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	98	else:
[693ab78]	99	if item.name==graph.selected_plottable and\
	100	item.__class__.__name__ is "Data1D":
[2dbb681]	101	return [["Select data for Fitting", \
	102	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	103	return []
	104
	105
	106	def get_panels(self, parent):
	107	"""
	108	Create and return a list of panel objects
	109	"""
	110	self.parent = parent
	111	# Creation of the fit panel
	112	self.fit_panel = FitPanel(self.parent, -1)
	113	#Set the manager forthe main panel
	114	self.fit_panel.set_manager(self)
	115	# List of windows used for the perspective
	116	self.perspective = []
	117	self.perspective.append(self.fit_panel.window_name)
	118	# take care of saving data, model and page associated with each other
[3b19ac9]	119	self.page_finder = {}
	120	#index number to create random model name
	121	self.index_model = 0
	122	#create the fitting panel
[d89f09b]	123	return [self.fit_panel]
	124
	125
	126	def get_perspective(self):
	127	"""
	128	Get the list of panel names for this perspective
	129	"""
	130	return self.perspective
	131
	132
	133	def on_perspective(self, event):
	134	"""
	135	Call back function for the perspective menu item.
	136	We notify the parent window that the perspective
	137	has changed.
	138	"""
	139	self.parent.set_perspective(self.perspective)
	140
	141
	142	def post_init(self):
	143	"""
	144	Post initialization call back to close the loose ends
	145	[Somehow openGL needs this call]
	146	"""
	147	self.parent.set_perspective(self.perspective)
	148
	149
	150	def _onSelect(self,event):
	151	"""
	152	when Select data to fit a new page is created .Its reference is
	153	added to self.page_finder
	154	"""
	155	self.panel = event.GetEventObject()
	156	for item in self.panel.graph.plottables:
[693ab78]	157	if item.name == self.panel.graph.selected_plottable or\
	158	item.__class__.__name__ is "Data2D":
[3b19ac9]	159	#find a name for the page created for notebook
[d89f09b]	160	try:
[bcd6d51]	161	page = self.fit_panel.add_fit_page(item)
[3b19ac9]	162	# add data associated to the page created
[bcd6d51]	163
[6f73a08]	164	if page !=None:
[caa1226]	165
[6f73a08]	166	#create a fitproblem storing all link to data,model,page creation
	167	self.page_finder[page]= FitProblem()
[bcd6d51]	168	self.page_finder[page].add_data(item)
[d89f09b]	169	except:
[6f73a08]	170	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	171	%sys.exc_value))
[948add7]	172	def schedule_for_fit(self,value=0,fitproblem =None):
	173	"""
	174
	175	"""
	176	if fitproblem !=None:
	177	fitproblem.schedule_tofit(value)
	178	else:
	179	current_pg=self.fit_panel.get_current_page()
	180	for page, val in self.page_finder.iteritems():
	181	if page ==current_pg :
	182	val.schedule_tofit(value)
	183	break
	184
[d89f09b]	185
	186	def get_page_finder(self):
	187	""" @return self.page_finder used also by simfitpage.py"""
	188	return self.page_finder
	189
	190
[3b19ac9]	191	def set_page_finder(self,modelname,names,values):
[d89f09b]	192	"""
	193	Used by simfitpage.py to reset a parameter given the string constrainst.
	194	@param modelname: the name ot the model for with the parameter has to reset
	195	@param value: can be a string in this case.
[3b19ac9]	196	@param names: the paramter name
[d89f09b]	197	@note: expecting park used for fit.
	198	"""
	199	sim_page=self.fit_panel.get_page(0)
	200	for page, value in self.page_finder.iteritems():
	201	if page != sim_page:
	202	list=value.get_model()
	203	model=list[0]
[bcd6d51]	204	#print "fitting",model.name,modelname
[d89f09b]	205	if model.name== modelname:
[3b19ac9]	206	value.set_model_param(names,values)
[d89f09b]	207	break
	208
	209
	210
	211	def split_string(self,item):
	212	"""
[3b19ac9]	213	receive a word containing dot and split it. used to split parameterset
	214	name into model name and parameter name example:
	215	paramaterset (item) = M1.A
	216	@return model_name =M1 , parameter name =A
[d89f09b]	217	"""
	218	if string.find(item,".")!=-1:
	219	param_names= re.split("\.",item)
	220	model_name=param_names[0]
	221	param_name=param_names[1]
	222	return model_name,param_name
	223
	224
[9d31a8b]	225	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	226	"""
[3b19ac9]	227	Display fit result on one page of the notebook.
	228	@param result: result of fit
	229	@param pars: list of names of parameters fitted
	230	@param current_pg: the page where information will be displayed
	231	@param qmin: the minimum value of x to replot the model
	232	@param qmax: the maximum value of x to replot model
[d89f09b]	233
	234	"""
	235	try:
	236	for page, value in self.page_finder.iteritems():
[948add7]	237	if page==cpage :
[6f73a08]	238	#fitdata = value.get_data()
[d89f09b]	239	list = value.get_model()
	240	model= list[0]
	241	break
	242	i = 0
[442895f]	243	# print "fitting: single fit pars ", pars
[d89f09b]	244	for name in pars:
	245	if result.pvec.__class__==numpy.float64:
[1b07935d]	246	model.setParam(name,result.pvec)
[d89f09b]	247	else:
[1b07935d]	248	model.setParam(name,result.pvec[i])
[442895f]	249	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	250	i += 1
[442895f]	251	# print "fitting result : chisqr",result.fitness
	252	# print "fitting result : pvec",result.pvec
	253	# print "fitting result : stderr",result.stderr
	254
[948add7]	255	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	256	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	257	except:
[442895f]	258	raise
[060b857]	259	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	260
	261
[9d31a8b]	262	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	263	"""
	264	Parameter estimation completed,
	265	display the results to the user
	266	@param alpha: estimated best alpha
	267	@param elapsed: computation time
	268	"""
	269	try:
	270	for page, value in self.page_finder.iteritems():
[948add7]	271	if value.get_scheduled()==1:
[6f73a08]	272	#fitdata = value.get_data()
[3b19ac9]	273	list = value.get_model()
	274	model= list[0]
	275
	276	small_out = []
	277	small_cov = []
	278	i = 0
	279	#Separate result in to data corresponding to each page
	280	for p in result.parameters:
	281	model_name,param_name = self.split_string(p.name)
	282	if model.name == model_name:
	283	small_out.append(p.value )
	284	small_cov.append(p.stderr)
	285	model.setParam(param_name,p.value)
	286	# Display result on each page
	287	page.onsetValues(result.fitness, small_out,small_cov)
	288	#Replot model
[9d31a8b]	289	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	290	except:
	291	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	292
[4fc6dbf]	293
[9d31a8b]	294	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	295	"""
	296	perform fit for the current page and return chisqr,out and cov
	297	@param engineName: type of fit to be performed
	298	@param id: unique id corresponding to a fit problem(model, set of data)
	299	@param model: model to fit
	300
	301	"""
[948add7]	302	#print "in single fitting"
[d89f09b]	303	#set an engine to perform fit
	304	from sans.fit.Fitting import Fit
	305	self.fitter= Fit(self._fit_engine)
[3b19ac9]	306	#Setting an id to store model and data in fit engine
[d89f09b]	307	if id==None:
	308	id=0
[3b19ac9]	309	self.id = id
[948add7]	310	page_fitted=None
	311	fit_problem=None
[3b19ac9]	312	#Get information (model , data) related to the page on
	313	#with the fit will be perform
[57f3320]	314	#current_pg=self.fit_panel.get_current_page()
	315	#simul_pg=self.fit_panel.get_page(0)
[948add7]	316
[d89f09b]	317	for page, value in self.page_finder.iteritems():
[948add7]	318	if value.get_scheduled() ==1 :
[9d31a8b]	319	metadata = value.get_data()
[d89f09b]	320	list=value.get_model()
	321	model=list[0]
[3b19ac9]	322	#Create list of parameters for fitting used
[d89f09b]	323	pars=[]
	324	templist=[]
	325	try:
[948add7]	326	#templist=current_pg.get_param_list()
	327	templist=page.get_param_list()
	328	for element in templist:
	329	pars.append(str(element[0].GetLabelText()))
	330	pars.sort()
	331	#Do the single fit
[3b19ac9]	332	self.fitter.set_model(Model(model), self.id, pars)
[9d31a8b]	333	self.fitter.set_data(metadata,self.id,qmin,qmax)
[948add7]	334	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	335	page_fitted=page
	336	self.id+=1
	337	self.schedule_for_fit( 0,value)
[d89f09b]	338	except:
[948add7]	339	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	340	return
[948add7]	341	# make sure to keep an alphabetic order
	342	#of parameter names in the list
	343	try:
	344	result=self.fitter.fit()
	345	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
	346	print "single_fit: result",result.fitness,result.pvec,result.stderr
	347	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	348	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	349	except:
[6f73a08]	350	raise
[948add7]	351	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	352	return
[d89f09b]	353
[9d31a8b]	354	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	355	"""
	356	perform fit for all the pages selected on simpage and return chisqr,out and cov
	357	@param engineName: type of fit to be performed
	358	@param id: unique id corresponding to a fit problem(model, set of data)
	359	in park_integration
	360	@param model: model to fit
	361
	362	"""
	363	#set an engine to perform fit
	364	from sans.fit.Fitting import Fit
	365	self.fitter= Fit(self._fit_engine)
[3b19ac9]	366
[d89f09b]	367	#Setting an id to store model and data
	368	if id==None:
	369	id = 0
	370	self.id = id
[3b19ac9]	371
[d89f09b]	372	for page, value in self.page_finder.iteritems():
	373	try:
[948add7]	374	if value.get_scheduled()==1:
[9d31a8b]	375	metadata = value.get_data()
[3b19ac9]	376	list = value.get_model()
	377	model= list[0]
[d89f09b]	378	#Create dictionary of parameters for fitting used
	379	pars = []
	380	templist = []
[3b19ac9]	381	templist = page.get_param_list()
[d89f09b]	382	for element in templist:
	383	try:
	384	name = str(element[0].GetLabelText())
	385	pars.append(name)
	386	except:
	387	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	388	return
[00561739]	389	new_model=Model(model)
[8e81af0]	390	param=value.get_model_param()
	391
	392	if len(param)>0:
	393	for item in param:
	394	param_value = item[1]
	395	param_name = item[0]
	396	#print "fitting ", param,param_name, param_value
	397
	398	#new_model.set( model.getParam(param_name[0])= param_value)
	399	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	400	#new_model.set( exec "%s"%(param_nam) = param_value)
	401	new_model.parameterset[ param_name].set( param_value )
	402
[948add7]	403	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	404	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	405	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	406	self.id += 1
[d89f09b]	407	except:
[3b19ac9]	408	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	409	return
[dabb633]	410	#Do the simultaneous fit
[d89f09b]	411	try:
	412	result=self.fitter.fit()
[9d31a8b]	413	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	414	except:
	415	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	416	return
[3b19ac9]	417
	418
	419	def _onset_engine(self,event):
	420	""" set engine to scipy"""
	421	if self._fit_engine== 'park':
	422	self._on_change_engine('scipy')
	423	else:
	424	self._on_change_engine('park')
	425	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	426
	427
[d89f09b]	428	def _on_change_engine(self, engine='park'):
	429	"""
	430	Allow to select the type of engine to perform fit
	431	@param engine: the key work of the engine
	432	"""
	433	self._fit_engine = engine
	434
	435
	436	def _on_model_panel(self, evt):
	437	"""
	438	react to model selection on any combo box or model menu.plot the model
	439	"""
[e1a310f]	440
[d89f09b]	441	model = evt.model
	442	name = evt.name
	443	sim_page=self.fit_panel.get_page(0)
	444	current_pg = self.fit_panel.get_current_page()
	445	if current_pg != sim_page:
	446	current_pg.set_panel(model)
[bcd6d51]	447
[d89f09b]	448	try:
[bcd6d51]	449	metadata=self.page_finder[current_pg].get_data()
	450	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
[d89f09b]	451	except:
	452	M_name="M"+str(self.index_model)+"= "+name
	453	model.name="M"+str(self.index_model)
	454	self.index_model += 1
[442895f]	455
[1b07935d]	456	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	457	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	458	sim_page.add_model(self.page_finder)
	459
	460
	461	def redraw_model(self,qmin= None,qmax= None):
	462	"""
	463	Draw a theory according to model changes or data range.
	464	@param qmin: the minimum value plotted for theory
	465	@param qmax: the maximum value plotted for theory
	466	"""
	467	current_pg=self.fit_panel.get_current_page()
	468	for page, value in self.page_finder.iteritems():
	469	if page ==current_pg :
	470	break
	471	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	472
[9d31a8b]	473	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	474	"""
	475	Plot a theory given a model and data
	476	@param model: the model from where the theory is derived
	477	@param currpage: page in a dictionary referring to some data
	478	"""
	479	if self.fit_panel.get_page_count() >1:
	480	for page in self.page_finder.iterkeys():
	481	if page==currpage :
[bcd6d51]	482	data=self.page_finder[page].get_data()
	483	list=self.page_finder[page].get_model()
	484	model=list[0]
[d89f09b]	485	break
[6f73a08]	486
[693ab78]	487	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	488	theory = Theory1D(x=[], y=[])
[442895f]	489	theory.name = "Model"
[d89f09b]	490	theory.group_id = data.group_id
	491
	492	x_name, x_units = data.get_xaxis()
	493	y_name, y_units = data.get_yaxis()
	494	theory.xaxis(x_name, x_units)
	495	theory.yaxis(y_name, y_units)
	496	if qmin == None :
	497	qmin = min(data.x)
	498	if qmax == None :
	499	qmax = max(data.x)
	500	try:
	501	tempx = qmin
[1b07935d]	502	tempy = model.run(qmin)
[d89f09b]	503	theory.x.append(tempx)
	504	theory.y.append(tempy)
	505	except :
	506	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	507	skipping point x %g %s" %(qmin, sys.exc_value)))
	508
	509	for i in range(len(data.x)):
	510	try:
	511	if data.x[i]> qmin and data.x[i]< qmax:
	512	tempx = data.x[i]
[1b07935d]	513	tempy = model.run(tempx)
[d89f09b]	514	theory.x.append(tempx)
	515	theory.y.append(tempy)
[04edd0d]	516
[d89f09b]	517	except:
	518	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	519	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	520	try:
	521	tempx = qmax
[1b07935d]	522	tempy = model.run(qmax)
[d89f09b]	523	theory.x.append(tempx)
	524	theory.y.append(tempy)
	525	except:
[00561739]	526	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	527	skipping point x %g %s" %(qmax, sys.exc_value)))
[04edd0d]	528
[6f73a08]	529	else:
	530	theory=Data2D(data.image, data.err_image)
[44bbf6a]	531	#theory=Theory2D(data.image, data.err_image)
[6f73a08]	532	theory.x_bins= data.x_bins
	533	theory.y_bins= data.y_bins
	534	tempy=[]
[9d31a8b]	535	if qmin==None:
	536	qmin=data.xmin
	537	if qmax==None:
[4274c0e]	538	qmax=data.xmax
[9d31a8b]	539	if ymin==None:
	540	ymin=data.ymin
	541	if ymax==None:
[4274c0e]	542	ymax=data.ymax
[a890be6]	543
[44bbf6a]	544	theory.image = numpy.zeros((len(data.y_bins),len(data.x_bins)))
	545	for i in range(len(data.y_bins)):
	546	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	547	for j in range(len(data.x_bins)):
	548	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
	549	theory.image[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
	550
	551	#print "fitting : plot_helper:", theory.image
[6f73a08]	552	#print data.image
[2dbb681]	553	#print "fitting : plot_helper:",theory.image
[6f73a08]	554	theory.zmin= data.zmin
	555	theory.zmax= data.zmax
[4274c0e]	556	theory.xmin= qmin
	557	theory.xmax= qmax
	558	theory.ymin= ymin
	559	theory.ymax= ymax
[04edd0d]	560
[6f73a08]	561	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
	562
	563
[d89f09b]	564	def _on_model_menu(self, evt):
	565	"""
	566	Plot a theory from a model selected from the menu
	567	"""
[1b07935d]	568	name="Model View"
[2dbb681]	569	model=evt.model()
	570
	571	description=model.description
[49b7efa]	572	self.fit_panel.add_model_page(model,description,name)
	573	self.draw_model(model)
[1b07935d]	574
	575	def draw_model(self,model):
[3b19ac9]	576	"""
	577	draw model with default data value
	578	"""
[d89f09b]	579	x = pylab.arange(0.001, 0.1, 0.001)
	580	xlen = len(x)
	581	dy = numpy.zeros(xlen)
	582	y = numpy.zeros(xlen)
	583
	584	for i in range(xlen):
[1b07935d]	585	y[i] = model.run(x[i])
[d89f09b]	586	dy[i] = math.sqrt(math.fabs(y[i]))
	587	try:
	588	new_plot = Theory1D(x, y)
[442895f]	589	new_plot.name = "Model"
[d89f09b]	590	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	591	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[55fd102]	592	new_plot.group_id ="Fitness"
[d89f09b]	593	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model"))
	594	except:
[2dbb681]	595	raise
[d89f09b]	596	if __name__ == "__main__":
	597	i = Plugin()
	598
	599
	600
	601

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ d292959

Download in other formats: