fitting.py @ d611fb93

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 d611fb93 was 44bbf6a, checked in by Gervaise Alina <gervyh@…>, 16 years ago
panel 2d changed for dispersion display
Property mode set to `100644`
File size: 23.8 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	"""
	80	pass
	81
	82	def get_context_menu(self, graph=None):
	83	"""
	84	Get the context menu items available for P(r)
	85	@param graph: the Graph object to which we attach the context menu
	86	@return: a list of menu items with call-back function
	87	"""
	88	self.graph=graph
	89	for item in graph.plottables:
[693ab78]	90	if item.__class__.__name__ is "Data2D":
[2dbb681]	91	return [["Select data for Fitting",\
	92	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	93	else:
[693ab78]	94	if item.name==graph.selected_plottable and\
	95	item.__class__.__name__ is "Data1D":
[2dbb681]	96	return [["Select data for Fitting", \
	97	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	98	return []
	99
	100
	101	def get_panels(self, parent):
	102	"""
	103	Create and return a list of panel objects
	104	"""
	105	self.parent = parent
	106	# Creation of the fit panel
	107	self.fit_panel = FitPanel(self.parent, -1)
	108	#Set the manager forthe main panel
	109	self.fit_panel.set_manager(self)
	110	# List of windows used for the perspective
	111	self.perspective = []
	112	self.perspective.append(self.fit_panel.window_name)
	113	# take care of saving data, model and page associated with each other
[3b19ac9]	114	self.page_finder = {}
	115	#index number to create random model name
	116	self.index_model = 0
	117	#create the fitting panel
[d89f09b]	118	return [self.fit_panel]
	119
	120
	121	def get_perspective(self):
	122	"""
	123	Get the list of panel names for this perspective
	124	"""
	125	return self.perspective
	126
	127
	128	def on_perspective(self, event):
	129	"""
	130	Call back function for the perspective menu item.
	131	We notify the parent window that the perspective
	132	has changed.
	133	"""
	134	self.parent.set_perspective(self.perspective)
	135
	136
	137	def post_init(self):
	138	"""
	139	Post initialization call back to close the loose ends
	140	[Somehow openGL needs this call]
	141	"""
	142	self.parent.set_perspective(self.perspective)
	143
	144
	145	def _onSelect(self,event):
	146	"""
	147	when Select data to fit a new page is created .Its reference is
	148	added to self.page_finder
	149	"""
	150	self.panel = event.GetEventObject()
	151	for item in self.panel.graph.plottables:
[693ab78]	152	if item.name == self.panel.graph.selected_plottable or\
	153	item.__class__.__name__ is "Data2D":
[3b19ac9]	154	#find a name for the page created for notebook
[d89f09b]	155	try:
[bcd6d51]	156	page = self.fit_panel.add_fit_page(item)
[3b19ac9]	157	# add data associated to the page created
[bcd6d51]	158
[6f73a08]	159	if page !=None:
[caa1226]	160
[6f73a08]	161	#create a fitproblem storing all link to data,model,page creation
	162	self.page_finder[page]= FitProblem()
[bcd6d51]	163	self.page_finder[page].add_data(item)
[d89f09b]	164	except:
[6f73a08]	165	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	166	%sys.exc_value))
[948add7]	167	def schedule_for_fit(self,value=0,fitproblem =None):
	168	"""
	169
	170	"""
	171	if fitproblem !=None:
	172	fitproblem.schedule_tofit(value)
	173	else:
	174	current_pg=self.fit_panel.get_current_page()
	175	for page, val in self.page_finder.iteritems():
	176	if page ==current_pg :
	177	val.schedule_tofit(value)
	178	break
	179
[d89f09b]	180
	181	def get_page_finder(self):
	182	""" @return self.page_finder used also by simfitpage.py"""
	183	return self.page_finder
	184
	185
[3b19ac9]	186	def set_page_finder(self,modelname,names,values):
[d89f09b]	187	"""
	188	Used by simfitpage.py to reset a parameter given the string constrainst.
	189	@param modelname: the name ot the model for with the parameter has to reset
	190	@param value: can be a string in this case.
[3b19ac9]	191	@param names: the paramter name
[d89f09b]	192	@note: expecting park used for fit.
	193	"""
	194	sim_page=self.fit_panel.get_page(0)
	195	for page, value in self.page_finder.iteritems():
	196	if page != sim_page:
	197	list=value.get_model()
	198	model=list[0]
[bcd6d51]	199	#print "fitting",model.name,modelname
[d89f09b]	200	if model.name== modelname:
[3b19ac9]	201	value.set_model_param(names,values)
[d89f09b]	202	break
	203
	204
	205
	206	def split_string(self,item):
	207	"""
[3b19ac9]	208	receive a word containing dot and split it. used to split parameterset
	209	name into model name and parameter name example:
	210	paramaterset (item) = M1.A
	211	@return model_name =M1 , parameter name =A
[d89f09b]	212	"""
	213	if string.find(item,".")!=-1:
	214	param_names= re.split("\.",item)
	215	model_name=param_names[0]
	216	param_name=param_names[1]
	217	return model_name,param_name
	218
	219
[9d31a8b]	220	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	221	"""
[3b19ac9]	222	Display fit result on one page of the notebook.
	223	@param result: result of fit
	224	@param pars: list of names of parameters fitted
	225	@param current_pg: the page where information will be displayed
	226	@param qmin: the minimum value of x to replot the model
	227	@param qmax: the maximum value of x to replot model
[d89f09b]	228
	229	"""
	230	try:
	231	for page, value in self.page_finder.iteritems():
[948add7]	232	if page==cpage :
[6f73a08]	233	#fitdata = value.get_data()
[d89f09b]	234	list = value.get_model()
	235	model= list[0]
	236	break
	237	i = 0
[442895f]	238	# print "fitting: single fit pars ", pars
[d89f09b]	239	for name in pars:
	240	if result.pvec.__class__==numpy.float64:
[1b07935d]	241	model.setParam(name,result.pvec)
[d89f09b]	242	else:
[1b07935d]	243	model.setParam(name,result.pvec[i])
[442895f]	244	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	245	i += 1
[442895f]	246	# print "fitting result : chisqr",result.fitness
	247	# print "fitting result : pvec",result.pvec
	248	# print "fitting result : stderr",result.stderr
	249
[948add7]	250	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	251	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	252	except:
[442895f]	253	raise
[060b857]	254	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	255
	256
[9d31a8b]	257	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	258	"""
	259	Parameter estimation completed,
	260	display the results to the user
	261	@param alpha: estimated best alpha
	262	@param elapsed: computation time
	263	"""
	264	try:
	265	for page, value in self.page_finder.iteritems():
[948add7]	266	if value.get_scheduled()==1:
[6f73a08]	267	#fitdata = value.get_data()
[3b19ac9]	268	list = value.get_model()
	269	model= list[0]
	270
	271	small_out = []
	272	small_cov = []
	273	i = 0
	274	#Separate result in to data corresponding to each page
	275	for p in result.parameters:
	276	model_name,param_name = self.split_string(p.name)
	277	if model.name == model_name:
	278	small_out.append(p.value )
	279	small_cov.append(p.stderr)
	280	model.setParam(param_name,p.value)
	281	# Display result on each page
	282	page.onsetValues(result.fitness, small_out,small_cov)
	283	#Replot model
[9d31a8b]	284	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	285	except:
	286	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	287
[4fc6dbf]	288
[9d31a8b]	289	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	290	"""
	291	perform fit for the current page and return chisqr,out and cov
	292	@param engineName: type of fit to be performed
	293	@param id: unique id corresponding to a fit problem(model, set of data)
	294	@param model: model to fit
	295
	296	"""
[948add7]	297	#print "in single fitting"
[d89f09b]	298	#set an engine to perform fit
	299	from sans.fit.Fitting import Fit
	300	self.fitter= Fit(self._fit_engine)
[3b19ac9]	301	#Setting an id to store model and data in fit engine
[d89f09b]	302	if id==None:
	303	id=0
[3b19ac9]	304	self.id = id
[948add7]	305	page_fitted=None
	306	fit_problem=None
[3b19ac9]	307	#Get information (model , data) related to the page on
	308	#with the fit will be perform
[57f3320]	309	#current_pg=self.fit_panel.get_current_page()
	310	#simul_pg=self.fit_panel.get_page(0)
[948add7]	311
[d89f09b]	312	for page, value in self.page_finder.iteritems():
[948add7]	313	if value.get_scheduled() ==1 :
[9d31a8b]	314	metadata = value.get_data()
[d89f09b]	315	list=value.get_model()
	316	model=list[0]
[3b19ac9]	317	#Create list of parameters for fitting used
[d89f09b]	318	pars=[]
	319	templist=[]
	320	try:
[948add7]	321	#templist=current_pg.get_param_list()
	322	templist=page.get_param_list()
	323	for element in templist:
	324	pars.append(str(element[0].GetLabelText()))
	325	pars.sort()
	326	#Do the single fit
[3b19ac9]	327	self.fitter.set_model(Model(model), self.id, pars)
[9d31a8b]	328	self.fitter.set_data(metadata,self.id,qmin,qmax)
[948add7]	329	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	330	page_fitted=page
	331	self.id+=1
	332	self.schedule_for_fit( 0,value)
[d89f09b]	333	except:
[948add7]	334	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	335	return
[948add7]	336	# make sure to keep an alphabetic order
	337	#of parameter names in the list
	338	try:
	339	result=self.fitter.fit()
	340	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
	341	print "single_fit: result",result.fitness,result.pvec,result.stderr
	342	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	343	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	344	except:
[6f73a08]	345	raise
[948add7]	346	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	347	return
[d89f09b]	348
[9d31a8b]	349	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	350	"""
	351	perform fit for all the pages selected on simpage and return chisqr,out and cov
	352	@param engineName: type of fit to be performed
	353	@param id: unique id corresponding to a fit problem(model, set of data)
	354	in park_integration
	355	@param model: model to fit
	356
	357	"""
	358	#set an engine to perform fit
	359	from sans.fit.Fitting import Fit
	360	self.fitter= Fit(self._fit_engine)
[3b19ac9]	361
[d89f09b]	362	#Setting an id to store model and data
	363	if id==None:
	364	id = 0
	365	self.id = id
[3b19ac9]	366
[d89f09b]	367	for page, value in self.page_finder.iteritems():
	368	try:
[948add7]	369	if value.get_scheduled()==1:
[9d31a8b]	370	metadata = value.get_data()
[3b19ac9]	371	list = value.get_model()
	372	model= list[0]
[d89f09b]	373	#Create dictionary of parameters for fitting used
	374	pars = []
	375	templist = []
[3b19ac9]	376	templist = page.get_param_list()
[d89f09b]	377	for element in templist:
	378	try:
	379	name = str(element[0].GetLabelText())
	380	pars.append(name)
	381	except:
	382	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	383	return
[00561739]	384	new_model=Model(model)
[8e81af0]	385	param=value.get_model_param()
	386
	387	if len(param)>0:
	388	for item in param:
	389	param_value = item[1]
	390	param_name = item[0]
	391	#print "fitting ", param,param_name, param_value
	392
	393	#new_model.set( model.getParam(param_name[0])= param_value)
	394	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	395	#new_model.set( exec "%s"%(param_nam) = param_value)
	396	new_model.parameterset[ param_name].set( param_value )
	397
[948add7]	398	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	399	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	400	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	401	self.id += 1
[d89f09b]	402	except:
[3b19ac9]	403	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	404	return
[dabb633]	405	#Do the simultaneous fit
[d89f09b]	406	try:
	407	result=self.fitter.fit()
[9d31a8b]	408	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	409	except:
	410	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	411	return
[3b19ac9]	412
	413
	414	def _onset_engine(self,event):
	415	""" set engine to scipy"""
	416	if self._fit_engine== 'park':
	417	self._on_change_engine('scipy')
	418	else:
	419	self._on_change_engine('park')
	420	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	421
	422
[d89f09b]	423	def _on_change_engine(self, engine='park'):
	424	"""
	425	Allow to select the type of engine to perform fit
	426	@param engine: the key work of the engine
	427	"""
	428	self._fit_engine = engine
	429
	430
	431	def _on_model_panel(self, evt):
	432	"""
	433	react to model selection on any combo box or model menu.plot the model
	434	"""
[e1a310f]	435
[d89f09b]	436	model = evt.model
	437	name = evt.name
	438	sim_page=self.fit_panel.get_page(0)
	439	current_pg = self.fit_panel.get_current_page()
	440	if current_pg != sim_page:
	441	current_pg.set_panel(model)
[bcd6d51]	442
[d89f09b]	443	try:
[bcd6d51]	444	metadata=self.page_finder[current_pg].get_data()
	445	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
[d89f09b]	446	except:
	447	M_name="M"+str(self.index_model)+"= "+name
	448	model.name="M"+str(self.index_model)
	449	self.index_model += 1
[442895f]	450
[1b07935d]	451	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	452	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	453	sim_page.add_model(self.page_finder)
	454
	455
	456	def redraw_model(self,qmin= None,qmax= None):
	457	"""
	458	Draw a theory according to model changes or data range.
	459	@param qmin: the minimum value plotted for theory
	460	@param qmax: the maximum value plotted for theory
	461	"""
	462	current_pg=self.fit_panel.get_current_page()
	463	for page, value in self.page_finder.iteritems():
	464	if page ==current_pg :
	465	break
	466	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	467
[9d31a8b]	468	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	469	"""
	470	Plot a theory given a model and data
	471	@param model: the model from where the theory is derived
	472	@param currpage: page in a dictionary referring to some data
	473	"""
	474	if self.fit_panel.get_page_count() >1:
	475	for page in self.page_finder.iterkeys():
	476	if page==currpage :
[bcd6d51]	477	data=self.page_finder[page].get_data()
	478	list=self.page_finder[page].get_model()
	479	model=list[0]
[d89f09b]	480	break
[6f73a08]	481
[693ab78]	482	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	483	theory = Theory1D(x=[], y=[])
[442895f]	484	theory.name = "Model"
[d89f09b]	485	theory.group_id = data.group_id
	486
	487	x_name, x_units = data.get_xaxis()
	488	y_name, y_units = data.get_yaxis()
	489	theory.xaxis(x_name, x_units)
	490	theory.yaxis(y_name, y_units)
	491	if qmin == None :
	492	qmin = min(data.x)
	493	if qmax == None :
	494	qmax = max(data.x)
	495	try:
	496	tempx = qmin
[1b07935d]	497	tempy = model.run(qmin)
[d89f09b]	498	theory.x.append(tempx)
	499	theory.y.append(tempy)
	500	except :
	501	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	502	skipping point x %g %s" %(qmin, sys.exc_value)))
	503
	504	for i in range(len(data.x)):
	505	try:
	506	if data.x[i]> qmin and data.x[i]< qmax:
	507	tempx = data.x[i]
[1b07935d]	508	tempy = model.run(tempx)
[d89f09b]	509	theory.x.append(tempx)
	510	theory.y.append(tempy)
	511	except:
	512	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	513	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	514	try:
	515	tempx = qmax
[1b07935d]	516	tempy = model.run(qmax)
[d89f09b]	517	theory.x.append(tempx)
	518	theory.y.append(tempy)
	519	except:
[00561739]	520	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	521	skipping point x %g %s" %(qmax, sys.exc_value)))
[6f73a08]	522	else:
	523	theory=Data2D(data.image, data.err_image)
[44bbf6a]	524	#theory=Theory2D(data.image, data.err_image)
[6f73a08]	525	theory.x_bins= data.x_bins
	526	theory.y_bins= data.y_bins
	527	tempy=[]
[9d31a8b]	528	if qmin==None:
	529	qmin=data.xmin
	530	if qmax==None:
[4274c0e]	531	qmax=data.xmax
[9d31a8b]	532	if ymin==None:
	533	ymin=data.ymin
	534	if ymax==None:
[4274c0e]	535	ymax=data.ymax
[a890be6]	536
[44bbf6a]	537	theory.image = numpy.zeros((len(data.y_bins),len(data.x_bins)))
	538	for i in range(len(data.y_bins)):
	539	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	540	for j in range(len(data.x_bins)):
	541	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
	542	theory.image[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
	543
	544	#print "fitting : plot_helper:", theory.image
[6f73a08]	545	#print data.image
[2dbb681]	546	#print "fitting : plot_helper:",theory.image
[6f73a08]	547	theory.zmin= data.zmin
	548	theory.zmax= data.zmax
[4274c0e]	549	theory.xmin= qmin
	550	theory.xmax= qmax
	551	theory.ymin= ymin
	552	theory.ymax= ymax
[6f73a08]	553
	554	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
	555
	556
[d89f09b]	557	def _on_model_menu(self, evt):
	558	"""
	559	Plot a theory from a model selected from the menu
	560	"""
[1b07935d]	561	name="Model View"
[2dbb681]	562	model=evt.model()
	563
	564	description=model.description
[49b7efa]	565	self.fit_panel.add_model_page(model,description,name)
	566	self.draw_model(model)
[1b07935d]	567
	568	def draw_model(self,model):
[3b19ac9]	569	"""
	570	draw model with default data value
	571	"""
[d89f09b]	572	x = pylab.arange(0.001, 0.1, 0.001)
	573	xlen = len(x)
	574	dy = numpy.zeros(xlen)
	575	y = numpy.zeros(xlen)
	576
	577	for i in range(xlen):
[1b07935d]	578	y[i] = model.run(x[i])
[d89f09b]	579	dy[i] = math.sqrt(math.fabs(y[i]))
	580	try:
	581	new_plot = Theory1D(x, y)
[442895f]	582	new_plot.name = "Model"
[d89f09b]	583	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	584	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[55fd102]	585	new_plot.group_id ="Fitness"
[d89f09b]	586	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model"))
	587	except:
[2dbb681]	588	raise
[d89f09b]	589	if __name__ == "__main__":
	590	i = Plugin()
	591
	592
	593
	594

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ d611fb93

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