fitting.py @ 9d31a8b

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 9d31a8b was 9d31a8b, checked in by Gervaise Alina <gervyh@…>, 16 years ago
2 d fit working better still not plotting all data
Property mode set to `100644`
File size: 23.6 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
[00353b4]	7
	8	from sans.guiframe.data_loader import MetaData1D, MetaTheory1D, MetaData2D
[6f73a08]	9	from danse.common.plottools.PlotPanel import PlotPanel
[d89f09b]	10	from sans.guicomm.events import NewPlotEvent, StatusEvent
[6f73a08]	11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
[d89f09b]	12	from fitproblem import FitProblem
	13	from fitpanel import FitPanel
	14
	15	import models
[e1a310f]	16	import fitpage1D,fitpage2D
[dabb633]	17	import park
[3b19ac9]	18
[d89f09b]	19	class Plugin:
	20	"""
[dabb633]	21	Fitting plugin is used to perform fit
[d89f09b]	22	"""
	23	def __init__(self):
	24	## Plug-in name
	25	self.sub_menu = "Fitting"
	26
	27	## Reference to the parent window
	28	self.parent = None
	29	self.menu_mng = models.ModelManager()
	30	## List of panels for the simulation perspective (names)
	31	self.perspective = []
	32	# Start with a good default
	33	self.elapsed = 0.022
	34	self.fitter = None
	35
	36	#Flag to let the plug-in know that it is running standalone
	37	self.standalone=True
	38	## Fit engine
[3b19ac9]	39	self._fit_engine = 'scipy'
[d89f09b]	40	# Log startup
	41	logging.info("Fitting plug-in started")
	42
	43	def populate_menu(self, id, owner):
	44	"""
	45	Create a menu for the Fitting plug-in
	46	@param id: id to create a menu
	47	@param owner: owner of menu
	48	@ return : list of information to populate the main menu
	49	"""
	50	#Menu for fitting
	51	self.menu1 = wx.Menu()
	52	id1 = wx.NewId()
	53	self.menu1.Append(id1, '&Show fit panel')
	54	wx.EVT_MENU(owner, id1, self.on_perspective)
[3b19ac9]	55	id3 = wx.NewId()
[442895f]	56	self.menu1.AppendCheckItem(id3, "park")
[3b19ac9]	57	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	58
	59	#menu for model
	60	menu2 = wx.Menu()
	61	self.menu_mng.populate_menu(menu2, owner)
	62	id2 = wx.NewId()
	63	owner.Bind(models.EVT_MODEL,self._on_model_menu)
	64	self.fit_panel.set_owner(owner)
	65	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	66	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[e1a310f]	67	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
[3b19ac9]	68	#create menubar items
[d89f09b]	69	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	70
	71
	72	def help(self, evt):
	73	"""
	74	Show a general help dialog.
	75	TODO: replace the text with a nice image
	76	"""
	77	pass
	78
	79	def get_context_menu(self, graph=None):
	80	"""
	81	Get the context menu items available for P(r)
	82	@param graph: the Graph object to which we attach the context menu
	83	@return: a list of menu items with call-back function
	84	"""
	85	self.graph=graph
	86	for item in graph.plottables:
[00353b4]	87	if item.__class__.__name__ is "MetaData2D":
[6f73a08]	88	return [["Fit Data2D", "Dialog with fitting parameters ", self._onSelect]]
	89	else:
[00353b4]	90	if item.name==graph.selected_plottable and (item.__class__.__name__ is "MetaData1D"or \
	91	item.__class__.__name__ is "Data1D" ):
	92	return [["Fit Data1D", "Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	93	return []
	94
	95
	96	def get_panels(self, parent):
	97	"""
	98	Create and return a list of panel objects
	99	"""
	100	self.parent = parent
	101	# Creation of the fit panel
	102	self.fit_panel = FitPanel(self.parent, -1)
	103	#Set the manager forthe main panel
	104	self.fit_panel.set_manager(self)
	105	# List of windows used for the perspective
	106	self.perspective = []
	107	self.perspective.append(self.fit_panel.window_name)
	108	# take care of saving data, model and page associated with each other
[3b19ac9]	109	self.page_finder = {}
	110	#index number to create random model name
	111	self.index_model = 0
	112	#create the fitting panel
[d89f09b]	113	return [self.fit_panel]
	114
	115
	116	def get_perspective(self):
	117	"""
	118	Get the list of panel names for this perspective
	119	"""
	120	return self.perspective
	121
	122
	123	def on_perspective(self, event):
	124	"""
	125	Call back function for the perspective menu item.
	126	We notify the parent window that the perspective
	127	has changed.
	128	"""
	129	self.parent.set_perspective(self.perspective)
	130
	131
	132	def post_init(self):
	133	"""
	134	Post initialization call back to close the loose ends
	135	[Somehow openGL needs this call]
	136	"""
	137	self.parent.set_perspective(self.perspective)
	138
	139
	140	def _onSelect(self,event):
	141	"""
	142	when Select data to fit a new page is created .Its reference is
	143	added to self.page_finder
	144	"""
	145	self.panel = event.GetEventObject()
	146	for item in self.panel.graph.plottables:
[00353b4]	147	if item.name == self.panel.graph.selected_plottable or item.__class__.__name__ is "MetaData2D":
[3b19ac9]	148	#find a name for the page created for notebook
[d89f09b]	149	try:
[bcd6d51]	150	page = self.fit_panel.add_fit_page(item)
[3b19ac9]	151	# add data associated to the page created
[bcd6d51]	152
[6f73a08]	153	if page !=None:
[caa1226]	154
[6f73a08]	155	#create a fitproblem storing all link to data,model,page creation
	156	self.page_finder[page]= FitProblem()
[bcd6d51]	157	self.page_finder[page].add_data(item)
[d89f09b]	158	except:
[6f73a08]	159	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	160	%sys.exc_value))
[948add7]	161	def schedule_for_fit(self,value=0,fitproblem =None):
	162	"""
	163
	164	"""
	165	if fitproblem !=None:
	166	fitproblem.schedule_tofit(value)
	167	else:
	168	current_pg=self.fit_panel.get_current_page()
	169	for page, val in self.page_finder.iteritems():
	170	if page ==current_pg :
	171	val.schedule_tofit(value)
	172	break
	173
[d89f09b]	174
	175	def get_page_finder(self):
	176	""" @return self.page_finder used also by simfitpage.py"""
	177	return self.page_finder
	178
	179
[3b19ac9]	180	def set_page_finder(self,modelname,names,values):
[d89f09b]	181	"""
	182	Used by simfitpage.py to reset a parameter given the string constrainst.
	183	@param modelname: the name ot the model for with the parameter has to reset
	184	@param value: can be a string in this case.
[3b19ac9]	185	@param names: the paramter name
[d89f09b]	186	@note: expecting park used for fit.
	187	"""
	188	sim_page=self.fit_panel.get_page(0)
	189	for page, value in self.page_finder.iteritems():
	190	if page != sim_page:
	191	list=value.get_model()
	192	model=list[0]
[bcd6d51]	193	#print "fitting",model.name,modelname
[d89f09b]	194	if model.name== modelname:
[3b19ac9]	195	value.set_model_param(names,values)
[d89f09b]	196	break
	197
	198
	199
	200	def split_string(self,item):
	201	"""
[3b19ac9]	202	receive a word containing dot and split it. used to split parameterset
	203	name into model name and parameter name example:
	204	paramaterset (item) = M1.A
	205	@return model_name =M1 , parameter name =A
[d89f09b]	206	"""
	207	if string.find(item,".")!=-1:
	208	param_names= re.split("\.",item)
	209	model_name=param_names[0]
	210	param_name=param_names[1]
	211	return model_name,param_name
	212
	213
[9d31a8b]	214	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	215	"""
[3b19ac9]	216	Display fit result on one page of the notebook.
	217	@param result: result of fit
	218	@param pars: list of names of parameters fitted
	219	@param current_pg: the page where information will be displayed
	220	@param qmin: the minimum value of x to replot the model
	221	@param qmax: the maximum value of x to replot model
[d89f09b]	222
	223	"""
	224	try:
	225	for page, value in self.page_finder.iteritems():
[948add7]	226	if page==cpage :
[6f73a08]	227	#fitdata = value.get_data()
[d89f09b]	228	list = value.get_model()
	229	model= list[0]
	230	break
	231	i = 0
[442895f]	232	# print "fitting: single fit pars ", pars
[d89f09b]	233	for name in pars:
	234	if result.pvec.__class__==numpy.float64:
[1b07935d]	235	model.setParam(name,result.pvec)
[d89f09b]	236	else:
[1b07935d]	237	model.setParam(name,result.pvec[i])
[442895f]	238	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	239	i += 1
[442895f]	240	# print "fitting result : chisqr",result.fitness
	241	# print "fitting result : pvec",result.pvec
	242	# print "fitting result : stderr",result.stderr
	243
[948add7]	244	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	245	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	246	except:
[442895f]	247	raise
[060b857]	248	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	249
	250
[9d31a8b]	251	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	252	"""
	253	Parameter estimation completed,
	254	display the results to the user
	255	@param alpha: estimated best alpha
	256	@param elapsed: computation time
	257	"""
	258	try:
	259	for page, value in self.page_finder.iteritems():
[948add7]	260	if value.get_scheduled()==1:
[6f73a08]	261	#fitdata = value.get_data()
[3b19ac9]	262	list = value.get_model()
	263	model= list[0]
	264
	265	small_out = []
	266	small_cov = []
	267	i = 0
	268	#Separate result in to data corresponding to each page
	269	for p in result.parameters:
	270	model_name,param_name = self.split_string(p.name)
	271	if model.name == model_name:
	272	small_out.append(p.value )
	273	small_cov.append(p.stderr)
	274	model.setParam(param_name,p.value)
	275	# Display result on each page
	276	page.onsetValues(result.fitness, small_out,small_cov)
	277	#Replot model
[9d31a8b]	278	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	279	except:
	280	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	281
[4fc6dbf]	282
[9d31a8b]	283	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	284	"""
	285	perform fit for the current page and return chisqr,out and cov
	286	@param engineName: type of fit to be performed
	287	@param id: unique id corresponding to a fit problem(model, set of data)
	288	@param model: model to fit
	289
	290	"""
[948add7]	291	#print "in single fitting"
[d89f09b]	292	#set an engine to perform fit
	293	from sans.fit.Fitting import Fit
	294	self.fitter= Fit(self._fit_engine)
[3b19ac9]	295	#Setting an id to store model and data in fit engine
[d89f09b]	296	if id==None:
	297	id=0
[3b19ac9]	298	self.id = id
[948add7]	299	page_fitted=None
	300	fit_problem=None
[3b19ac9]	301	#Get information (model , data) related to the page on
	302	#with the fit will be perform
[57f3320]	303	#current_pg=self.fit_panel.get_current_page()
	304	#simul_pg=self.fit_panel.get_page(0)
[948add7]	305
[d89f09b]	306	for page, value in self.page_finder.iteritems():
[948add7]	307	if value.get_scheduled() ==1 :
[9d31a8b]	308	metadata = value.get_data()
[d89f09b]	309	list=value.get_model()
	310	model=list[0]
[3b19ac9]	311	#Create list of parameters for fitting used
[d89f09b]	312	pars=[]
	313	templist=[]
	314	try:
[948add7]	315	#templist=current_pg.get_param_list()
	316	templist=page.get_param_list()
	317	for element in templist:
	318	pars.append(str(element[0].GetLabelText()))
	319	pars.sort()
	320	#Do the single fit
[3b19ac9]	321	self.fitter.set_model(Model(model), self.id, pars)
[9d31a8b]	322	self.fitter.set_data(metadata,self.id,qmin,qmax)
[948add7]	323	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	324	page_fitted=page
	325	self.id+=1
	326	self.schedule_for_fit( 0,value)
[d89f09b]	327	except:
[948add7]	328	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	329	return
[948add7]	330	# make sure to keep an alphabetic order
	331	#of parameter names in the list
	332	try:
	333	result=self.fitter.fit()
	334	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
	335	print "single_fit: result",result.fitness,result.pvec,result.stderr
	336	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	337	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	338	except:
[6f73a08]	339	raise
[948add7]	340	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	341	return
[d89f09b]	342
[9d31a8b]	343	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	344	"""
	345	perform fit for all the pages selected on simpage and return chisqr,out and cov
	346	@param engineName: type of fit to be performed
	347	@param id: unique id corresponding to a fit problem(model, set of data)
	348	in park_integration
	349	@param model: model to fit
	350
	351	"""
	352	#set an engine to perform fit
	353	from sans.fit.Fitting import Fit
	354	self.fitter= Fit(self._fit_engine)
[3b19ac9]	355
[d89f09b]	356	#Setting an id to store model and data
	357	if id==None:
	358	id = 0
	359	self.id = id
[3b19ac9]	360
[d89f09b]	361	for page, value in self.page_finder.iteritems():
	362	try:
[948add7]	363	if value.get_scheduled()==1:
[9d31a8b]	364	metadata = value.get_data()
[3b19ac9]	365	list = value.get_model()
	366	model= list[0]
[d89f09b]	367	#Create dictionary of parameters for fitting used
	368	pars = []
	369	templist = []
[3b19ac9]	370	templist = page.get_param_list()
[d89f09b]	371	for element in templist:
	372	try:
	373	name = str(element[0].GetLabelText())
	374	pars.append(name)
	375	except:
	376	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	377	return
[00561739]	378	new_model=Model(model)
[8e81af0]	379	param=value.get_model_param()
	380
	381	if len(param)>0:
	382	for item in param:
	383	param_value = item[1]
	384	param_name = item[0]
	385	#print "fitting ", param,param_name, param_value
	386
	387	#new_model.set( model.getParam(param_name[0])= param_value)
	388	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	389	#new_model.set( exec "%s"%(param_nam) = param_value)
	390	new_model.parameterset[ param_name].set( param_value )
	391
[948add7]	392	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	393	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	394	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	395	self.id += 1
[d89f09b]	396	except:
[3b19ac9]	397	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	398	return
[dabb633]	399	#Do the simultaneous fit
[d89f09b]	400	try:
	401	result=self.fitter.fit()
[9d31a8b]	402	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	403	except:
	404	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	405	return
[3b19ac9]	406
	407
	408	def _onset_engine(self,event):
	409	""" set engine to scipy"""
	410	if self._fit_engine== 'park':
	411	self._on_change_engine('scipy')
	412	else:
	413	self._on_change_engine('park')
	414	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	415
	416
[d89f09b]	417	def _on_change_engine(self, engine='park'):
	418	"""
	419	Allow to select the type of engine to perform fit
	420	@param engine: the key work of the engine
	421	"""
	422	self._fit_engine = engine
	423
	424
	425	def _on_model_panel(self, evt):
	426	"""
	427	react to model selection on any combo box or model menu.plot the model
	428	"""
[e1a310f]	429
[d89f09b]	430	model = evt.model
	431	name = evt.name
	432	sim_page=self.fit_panel.get_page(0)
	433	current_pg = self.fit_panel.get_current_page()
	434	if current_pg != sim_page:
	435	current_pg.set_panel(model)
[bcd6d51]	436
[d89f09b]	437	try:
[bcd6d51]	438	metadata=self.page_finder[current_pg].get_data()
	439	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
[d89f09b]	440	except:
	441	M_name="M"+str(self.index_model)+"= "+name
	442	model.name="M"+str(self.index_model)
	443	self.index_model += 1
[442895f]	444
[1b07935d]	445	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	446	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	447	sim_page.add_model(self.page_finder)
	448
	449
	450	def redraw_model(self,qmin= None,qmax= None):
	451	"""
	452	Draw a theory according to model changes or data range.
	453	@param qmin: the minimum value plotted for theory
	454	@param qmax: the maximum value plotted for theory
	455	"""
	456	current_pg=self.fit_panel.get_current_page()
	457	for page, value in self.page_finder.iteritems():
	458	if page ==current_pg :
	459	break
	460	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	461
[9d31a8b]	462	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	463	"""
	464	Plot a theory given a model and data
	465	@param model: the model from where the theory is derived
	466	@param currpage: page in a dictionary referring to some data
	467	"""
	468	if self.fit_panel.get_page_count() >1:
	469	for page in self.page_finder.iterkeys():
	470	if page==currpage :
[bcd6d51]	471	data=self.page_finder[page].get_data()
	472	list=self.page_finder[page].get_model()
	473	model=list[0]
[d89f09b]	474	break
[6f73a08]	475
[00353b4]	476	if data!=None and data.__class__.__name__ != 'MetaData2D':
[d89f09b]	477	theory = Theory1D(x=[], y=[])
[442895f]	478	theory.name = "Model"
[d89f09b]	479	theory.group_id = data.group_id
	480
	481	x_name, x_units = data.get_xaxis()
	482	y_name, y_units = data.get_yaxis()
	483	theory.xaxis(x_name, x_units)
	484	theory.yaxis(y_name, y_units)
	485	if qmin == None :
	486	qmin = min(data.x)
	487	if qmax == None :
	488	qmax = max(data.x)
	489	try:
	490	tempx = qmin
[1b07935d]	491	tempy = model.run(qmin)
[d89f09b]	492	theory.x.append(tempx)
	493	theory.y.append(tempy)
	494	except :
	495	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	496	skipping point x %g %s" %(qmin, sys.exc_value)))
	497
	498	for i in range(len(data.x)):
	499	try:
	500	if data.x[i]> qmin and data.x[i]< qmax:
	501	tempx = data.x[i]
[1b07935d]	502	tempy = model.run(tempx)
[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" %(data.x[i], sys.exc_value)))
	508	try:
	509	tempx = qmax
[1b07935d]	510	tempy = model.run(qmax)
[d89f09b]	511	theory.x.append(tempx)
	512	theory.y.append(tempy)
[6f73a08]	513
[d89f09b]	514	except:
[00561739]	515	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	516	skipping point x %g %s" %(qmax, sys.exc_value)))
[6f73a08]	517	else:
	518	theory=Data2D(data.image, data.err_image)
	519	theory.x_bins= data.x_bins
	520	theory.y_bins= data.y_bins
	521	tempy=[]
[9d31a8b]	522	if qmin==None:
	523	qmin=data.xmin
	524	if qmax==None:
	525	qmin=data.xmax
	526	if ymin==None:
	527	ymin=data.ymin
	528	if ymax==None:
	529	qmin=data.ymax
	530	for i in range(len(data.y_bins)):
	531	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	532	for j in range(len(data.x_bins)):
	533	if data.x_bins[i]>= xmin and data.x_bins[i]<= xmax:
	534	theory.image= model.runXY([data.x_bins[j],data.y_bins[i]])
[6f73a08]	535	#print "fitting : plot_helper:", theory.image
	536	#print data.image
	537	#theory.image=model.runXY(data.image)
	538	theory.image=model.run(data.image)
	539	print "fitting : plot_helper:",theory.image
	540	theory.zmin= data.zmin
	541	theory.zmax= data.zmax
	542	theory.xmin= data.xmin
	543	theory.xmax= data.xmax
	544	theory.ymin= data.ymin
	545	theory.ymax= data.ymax
	546
	547	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
	548
	549
[d89f09b]	550	def _on_model_menu(self, evt):
	551	"""
	552	Plot a theory from a model selected from the menu
	553	"""
[1b07935d]	554	name="Model View"
[49b7efa]	555	model=evt.modelinfo.model()
	556	description=evt.modelinfo.description
	557	self.fit_panel.add_model_page(model,description,name)
	558	self.draw_model(model)
[1b07935d]	559
	560	def draw_model(self,model):
[3b19ac9]	561	"""
	562	draw model with default data value
	563	"""
[d89f09b]	564	x = pylab.arange(0.001, 0.1, 0.001)
	565	xlen = len(x)
	566	dy = numpy.zeros(xlen)
	567	y = numpy.zeros(xlen)
	568
	569	for i in range(xlen):
[1b07935d]	570	y[i] = model.run(x[i])
[d89f09b]	571	dy[i] = math.sqrt(math.fabs(y[i]))
	572	try:
	573
	574	new_plot = Theory1D(x, y)
[442895f]	575	new_plot.name = "Model"
[d89f09b]	576	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	577	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[55fd102]	578	new_plot.group_id ="Fitness"
[d89f09b]	579	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model"))
	580	except:
[00561739]	581	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	582	skipping point x %g %s" %(qmax, sys.exc_value)))
[d89f09b]	583
	584	if __name__ == "__main__":
	585	i = Plugin()
	586
	587
	588
	589

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 9d31a8b

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