fitting.py @ 6bcdad1

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 6bcdad1 was 6bcdad1, checked in by Gervaise Alina <gervyh@…>, 16 years ago
close page bug fixed
Property mode set to `100644`
File size: 30.0 KB

Line
1	import os,os.path, re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from copy import deepcopy
6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
10	from fitproblem import FitProblem
11	from fitpanel import FitPanel
12
13	import models,modelpage
14	import fitpage1D,fitpage2D
15	import park
16	DEFAULT_BEAM = 0.005
17	class Plugin:
18	"""
19	Fitting plugin is used to perform fit
20	"""
21	def __init__(self):
22	## Plug-in name
23	self.sub_menu = "Fitting"
24
25	## Reference to the parent window
26	self.parent = None
27	self.menu_mng = models.ModelManager()
28	## List of panels for the simulation perspective (names)
29	self.perspective = []
30	# Start with a good default
31	self.elapsed = 0.022
32	self.fitter = None
33
34	#Flag to let the plug-in know that it is running standalone
35	self.standalone=True
36	## Fit engine
37	self._fit_engine = 'scipy'
38	self.enable_model2D=False
39	# Log startup
40	logging.info("Fitting plug-in started")
41
42	def populate_menu(self, id, owner):
43	"""
44	Create a menu for the Fitting plug-in
45	@param id: id to create a menu
46	@param owner: owner of menu
47	@ return : list of information to populate the main menu
48	"""
49	#Menu for fitting
50	self.menu1 = wx.Menu()
51	id1 = wx.NewId()
52	self.menu1.Append(id1, '&Show fit panel')
53	wx.EVT_MENU(owner, id1, self.on_perspective)
54	id3 = wx.NewId()
55	self.menu1.AppendCheckItem(id3, "park")
56	wx.EVT_MENU(owner, id3, self._onset_engine)
57
58	#menu for model
59	menu2 = wx.Menu()
60
61	self.menu_mng.populate_menu(menu2, owner)
62	id2 = wx.NewId()
63	owner.Bind(models.EVT_MODEL,self._on_model_menu)
64	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
65	self.fit_panel.set_owner(owner)
66	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
67	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
68	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
69	#create menubar items
70	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
71
72
73	def help(self, evt):
74	"""
75	Show a general help dialog.
76	TODO: replace the text with a nice image
77	"""
78	from helpDialog import HelpWindow
79	dialog = HelpWindow(None, -1, 'HelpWindow')
80	if dialog.ShowModal() == wx.ID_OK:
81	pass
82	dialog.Destroy()
83
84
85	def get_context_menu(self, graph=None):
86	"""
87	Get the context menu items available for P(r)
88	@param graph: the Graph object to which we attach the context menu
89	@return: a list of menu items with call-back function
90	"""
91	self.graph=graph
92	for item in graph.plottables:
93	if item.__class__.__name__ is "Data2D":
94	return [["Select data for Fitting",\
95	"Dialog with fitting parameters ", self._onSelect]]
96	else:
97	if item.name==graph.selected_plottable and\
98	item.__class__.__name__ is "Data1D":
99	return [["Select data for Fitting", \
100	"Dialog with fitting parameters ", self._onSelect]]
101	return []
102
103
104	def get_panels(self, parent):
105	"""
106	Create and return a list of panel objects
107	"""
108	self.parent = parent
109	# Creation of the fit panel
110	self.fit_panel = FitPanel(self.parent, -1)
111	#Set the manager forthe main panel
112	self.fit_panel.set_manager(self)
113	# List of windows used for the perspective
114	self.perspective = []
115	self.perspective.append(self.fit_panel.window_name)
116	# take care of saving data, model and page associated with each other
117	self.page_finder = {}
118	#index number to create random model name
119	self.index_model = 0
120	#create the fitting panel
121	return [self.fit_panel]
122
123
124	def get_perspective(self):
125	"""
126	Get the list of panel names for this perspective
127	"""
128	return self.perspective
129
130
131	def on_perspective(self, event):
132	"""
133	Call back function for the perspective menu item.
134	We notify the parent window that the perspective
135	has changed.
136	"""
137	self.parent.set_perspective(self.perspective)
138
139
140	def post_init(self):
141	"""
142	Post initialization call back to close the loose ends
143	[Somehow openGL needs this call]
144	"""
145	self.parent.set_perspective(self.perspective)
146
147
148	def _onSelect(self,event):
149	"""
150	when Select data to fit a new page is created .Its reference is
151	added to self.page_finder
152	"""
153	self.panel = event.GetEventObject()
154	for item in self.panel.graph.plottables:
155	if item.name == self.panel.graph.selected_plottable or\
156	item.__class__.__name__ is "Data2D":
157	#find a name for the page created for notebook
158	try:
159	page, model_name = self.fit_panel.add_fit_page(item)
160	# add data associated to the page created
161
162	if page !=None:
163
164	#create a fitproblem storing all link to data,model,page creation
165	self.page_finder[page]= FitProblem()
166	self.page_finder[page].save_model_name(model_name)
167	self.page_finder[page].add_data(item)
168	except:
169	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
170	%sys.exc_value))
171	def schedule_for_fit(self,value=0,fitproblem =None):
172	"""
173
174	"""
175	if fitproblem !=None:
176	fitproblem.schedule_tofit(value)
177	else:
178	current_pg=self.fit_panel.get_current_page()
179	for page, val in self.page_finder.iteritems():
180	if page ==current_pg :
181	val.schedule_tofit(value)
182	break
183
184
185	def get_page_finder(self):
186	""" @return self.page_finder used also by simfitpage.py"""
187	return self.page_finder
188
189
190	def set_page_finder(self,modelname,names,values):
191	"""
192	Used by simfitpage.py to reset a parameter given the string constrainst.
193	@param modelname: the name ot the model for with the parameter has to reset
194	@param value: can be a string in this case.
195	@param names: the paramter name
196	@note: expecting park used for fit.
197	"""
198	sim_page=self.fit_panel.get_page(0)
199	for page, value in self.page_finder.iteritems():
200	if page != sim_page:
201	list=value.get_model()
202	model=list[0]
203	#print "fitting",model.name,modelname
204	if model.name== modelname:
205	value.set_model_param(names,values)
206	break
207
208
209
210	def split_string(self,item):
211	"""
212	receive a word containing dot and split it. used to split parameterset
213	name into model name and parameter name example:
214	paramaterset (item) = M1.A
215	@return model_name =M1 , parameter name =A
216	"""
217	if string.find(item,".")!=-1:
218	param_names= re.split("\.",item)
219	model_name=param_names[0]
220	param_name=param_names[1]
221	return model_name,param_name
222
223
224	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
225	"""
226	Display fit result on one page of the notebook.
227	@param result: result of fit
228	@param pars: list of names of parameters fitted
229	@param current_pg: the page where information will be displayed
230	@param qmin: the minimum value of x to replot the model
231	@param qmax: the maximum value of x to replot model
232
233	"""
234	try:
235	for page, value in self.page_finder.iteritems():
236	if page==cpage :
237	#fitdata = value.get_data()
238	list = value.get_model()
239	model= list[0]
240	break
241	i = 0
242	# print "fitting: single fit pars ", pars
243	for name in pars:
244	if result.pvec.__class__==numpy.float64:
245	model.setParam(name,result.pvec)
246	else:
247	model.setParam(name,result.pvec[i])
248	# print "fitting: single fit", name, result.pvec[i]
249	i += 1
250	# print "fitting result : chisqr",result.fitness
251	# print "fitting result : pvec",result.pvec
252	# print "fitting result : stderr",result.stderr
253
254	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
255	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
256	except:
257	raise
258	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
259
260
261	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
262	"""
263	Parameter estimation completed,
264	display the results to the user
265	@param alpha: estimated best alpha
266	@param elapsed: computation time
267	"""
268	try:
269	for page, value in self.page_finder.iteritems():
270	if value.get_scheduled()==1:
271	#fitdata = value.get_data()
272	list = value.get_model()
273	model= list[0]
274
275	small_out = []
276	small_cov = []
277	i = 0
278	#Separate result in to data corresponding to each page
279	for p in result.parameters:
280	model_name,param_name = self.split_string(p.name)
281	if model.name == model_name:
282	small_out.append(p.value )
283	small_cov.append(p.stderr)
284	model.setParam(param_name,p.value)
285	# Display result on each page
286	page.onsetValues(result.fitness, small_out,small_cov)
287	#Replot model
288	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
289	except:
290	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
291
292
293	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
294	"""
295	perform fit for the current page and return chisqr,out and cov
296	@param engineName: type of fit to be performed
297	@param id: unique id corresponding to a fit problem(model, set of data)
298	@param model: model to fit
299
300	"""
301	#print "in single fitting"
302	#set an engine to perform fit
303	from sans.fit.Fitting import Fit
304	self.fitter= Fit(self._fit_engine)
305	#Setting an id to store model and data in fit engine
306	if id==None:
307	id=0
308	self.id = id
309	page_fitted=None
310	fit_problem=None
311	#Get information (model , data) related to the page on
312	#with the fit will be perform
313	#current_pg=self.fit_panel.get_current_page()
314	#simul_pg=self.fit_panel.get_page(0)
315
316	for page, value in self.page_finder.iteritems():
317	if value.get_scheduled() ==1 :
318	metadata = value.get_data()
319	list=value.get_model()
320	model=list[0]
321	#Create list of parameters for fitting used
322	pars=[]
323	templist=[]
324	try:
325	#templist=current_pg.get_param_list()
326	templist=page.get_param_list()
327	for element in templist:
328	pars.append(str(element[0].GetLabelText()))
329	pars.sort()
330	#Do the single fit
331	self.fitter.set_model(Model(model), self.id, pars)
332
333	self.fitter.set_data(metadata,self.id,qmin,qmax)
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)
338	except:
339	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
340	return
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)
348	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
349	except:
350	raise
351	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
352	return
353
354	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
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)
366
367	#Setting an id to store model and data
368	if id==None:
369	id = 0
370	self.id = id
371
372	for page, value in self.page_finder.iteritems():
373	try:
374	if value.get_scheduled()==1:
375	metadata = value.get_data()
376	list = value.get_model()
377	model= list[0]
378	#Create dictionary of parameters for fitting used
379	pars = []
380	templist = []
381	templist = page.get_param_list()
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
389	new_model=Model(model)
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
403	self.fitter.set_model(new_model, self.id, pars)
404	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
405	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
406	self.id += 1
407	except:
408	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
409	return
410	#Do the simultaneous fit
411	try:
412	result=self.fitter.fit()
413	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
414	except:
415	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
416	return
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
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	"""
440
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	selected_page = self.fit_panel.get_selected_page()
446	if current_pg != sim_page:
447	current_pg.set_panel(model)
448	model.name = self.page_finder[current_pg].get_name()
449	try:
450	metadata=self.page_finder[current_pg].get_data()
451	M_name=model.name+"= "+name+"("+metadata.group_id+")"
452	except:
453	M_name=model.name+"= "+name
454	#model.name="M"+str(self.index_model)
455	self.index_model += 1
456	# save model name
457
458	# save the name containing the data name with the appropriate model
459	self.page_finder[current_pg].set_model(model,M_name)
460	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
461	sim_page.add_model(self.page_finder)
462
463
464	def redraw_model(self,qmin= None,qmax= None):
465	"""
466	Draw a theory according to model changes or data range.
467	@param qmin: the minimum value plotted for theory
468	@param qmax: the maximum value plotted for theory
469	"""
470	current_pg=self.fit_panel.get_current_page()
471	for page, value in self.page_finder.iteritems():
472	if page ==current_pg :
473	break
474	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
475
476	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
477	"""
478	Plot a theory given a model and data
479	@param model: the model from where the theory is derived
480	@param currpage: page in a dictionary referring to some data
481	"""
482	if self.fit_panel.get_page_count() >1:
483	for page in self.page_finder.iterkeys():
484	if page==currpage :
485	data=self.page_finder[page].get_data()
486	list=self.page_finder[page].get_model()
487	model=list[0]
488	break
489
490	if data!=None and data.__class__.__name__ != 'Data2D':
491	theory = Theory1D(x=[], y=[])
492	theory.name = model.name
493	theory.group_id = data.group_id
494	theory.id = "Model"
495	x_name, x_units = data.get_xaxis()
496	y_name, y_units = data.get_yaxis()
497	theory.xaxis(x_name, x_units)
498	theory.yaxis(y_name, y_units)
499	if qmin == None :
500	qmin = min(data.x)
501	if qmax == None :
502	qmax = max(data.x)
503	try:
504	tempx = qmin
505	tempy = model.run(qmin)
506	theory.x.append(tempx)
507	theory.y.append(tempy)
508	except :
509	wx.PostEvent(self.parent, StatusEvent(status="fitting \
510	skipping point x %g %s" %(qmin, sys.exc_value)))
511
512	for i in range(len(data.x)):
513	try:
514	if data.x[i]> qmin and data.x[i]< qmax:
515	tempx = data.x[i]
516	tempy = model.run(tempx)
517	theory.x.append(tempx)
518	theory.y.append(tempy)
519
520	except:
521	wx.PostEvent(self.parent, StatusEvent(status="fitting \
522	skipping point x %g %s" %(data.x[i], sys.exc_value)))
523	try:
524	tempx = qmax
525	tempy = model.run(qmax)
526	theory.x.append(tempx)
527	theory.y.append(tempy)
528	except:
529	wx.PostEvent(self.parent, StatusEvent(status="fitting \
530	skipping point x %g %s" %(qmax, sys.exc_value)))
531
532	else:
533	theory=Data2D(data.data, data.err_data)
534	theory.name= model.name
535	theory.id= "Model"
536	theory.group_id= "Model"+data.name
537	theory.x_bins= data.x_bins
538	theory.y_bins= data.y_bins
539	tempy=[]
540	if qmin==None:
541	qmin=data.xmin
542	if qmax==None:
543	qmax=data.xmax
544	if ymin==None:
545	ymin=data.ymin
546	if ymax==None:
547	ymax=data.ymax
548
549	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
550	for i in range(len(data.y_bins)):
551	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
552	for j in range(len(data.x_bins)):
553	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
554	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
555
556	#print "fitting : plot_helper:", theory.image
557	#print data.image
558	#print "fitting : plot_helper:",theory.image
559	theory.detector= data.detector
560	theory.source= data.source
561	theory.zmin= data.zmin
562	theory.zmax= data.zmax
563	theory.xmin= qmin
564	theory.xmax= qmax
565	theory.ymin= ymin
566	theory.ymax= ymax
567
568	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
569	title="Analytical model %s"%str(data.name)))
570
571
572	def _on_model_menu(self, evt):
573	"""
574	Plot a theory from a model selected from the menu
575	"""
576
577	model=evt.model()
578	#name="Model View"
579	#print "mon menu",model.name
580	description=model.description
581	#self.fit_panel.add_model_page(model,description,name)
582
583	self.draw_model(model,self.enable_model2D)
584
585	def draw_model(self,model,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
586	"""
587	draw model with default data value
588	"""
589	self.fit_panel.add_model_page(model,model.description,model.name)
590	self._draw_model2D(model,model.description, enable2D,qmin,qmax,qstep)
591	self._draw_model1D(model,model.description, enable1D,qmin,qmax, qstep)
592
593	def _draw_model1D(self,model,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
594
595	if enable1D:
596	if qmin==None:
597	qmin= 0.001
598	if qmax==None:
599	qmax= 1.0
600	if qstep ==None:
601	qstep =0.001
602
603
604	x = numpy.arange(qmin, qmax, qstep)
605	xlen= len(x)
606	y = numpy.zeros(xlen)
607	if not enable1D:
608	for i in range(xlen):
609	y[i] = model.run(x[i])
610
611	try:
612	new_plot = Theory1D(x, y)
613	#new_plot.name = model.name
614	new_plot.name = model.name
615	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
616	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
617	new_plot.id = "Model"
618	new_plot.group_id ="Model"
619	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
620
621	except:
622	raise
623	else:
624	for i in range(xlen):
625	y[i] = model.run(x[i])
626
627	try:
628	new_plot = Theory1D(x, y)
629	new_plot.name = model.name
630	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
631	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
632	new_plot.id ="Model"
633	new_plot.group_id ="Model"
634	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
635	title="Analytical model 1D %s"%str(model.name) ))
636
637	except:
638	raise
639	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
640	if qmin==None:
641	qmin= -0.05
642	if qmax==None:
643	qmax= 0.05
644	if qstep ==None:
645	qstep =0.001
646	x = numpy.arange(qmin,qmax, qstep)
647	y = numpy.arange(qmin,qmax,qstep)
648	lx = len(x)
649	data=numpy.zeros([len(x),len(y)])
650	if enable2D:
651	"""
652	for i_x in range(int(len(x)/2)):
653	if i_x%2==1:
654	continue
655	for i_y in range(len(y)):
656	try:
657	value = model.runXY([x[i_x], y[i_y]])
658	#output[i_x][i_y] = value
659	#output[lx-i_x-1][lx-i_y-1] = value
660	data[i_y][i_x] = value
661	data[lx-i_y-1][lx-i_x-1] = value
662	except:
663	wx.PostEvent(self.parent, StatusEvent(status="\
664	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
665
666	if lx%2==1:
667	i_x = int(len(x)/2)
668	for i_y in range(len(y)):
669	try:
670	value = model.runXY([x[i_x],y[i_y]])
671	#output[i_x][i_y] = value
672	data[i_y][i_x] = value
673	except:
674	wx.PostEvent(self.parent, StatusEvent(status="\
675	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
676
677	"""
678	for i_x in range(int(len(x)/2)):
679	"""
680	if not i_x%2==1:
681	continue
682	"""
683	for i_y in range(len(y)):
684	try:
685	value = model.runXY([x[i_x],y[i_y]])
686	#output[i_x][i_y] = value
687	#output[lx-i_x-1][lx-i_y-1] = value
688	data[i_y][i_x] = value
689	data[lx-i_y-1][lx-i_x-1] = value
690	except:
691	wx.PostEvent(self.parent, StatusEvent(status="\
692	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
693
694
695
696	theory= Data2D(data)
697	theory.name= model.name
698	theory.group_id ="Model"
699	theory.id ="Model"
700	theory.xmin= qmin
701	theory.xmax= qmax
702	theory.ymin= qmin
703	theory.ymax= qmax
704	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
705	title="Analytical model 2D %s" %str(model.name)))
706
707
708
709	def H_draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
710	if qmin==None:
711	qmin= -0.05
712	if qmax==None:
713	qmax= 0.05
714	if qstep ==None:
715	qstep =0.001
716	x = numpy.arange(qmin,qmax, qstep)
717	y = numpy.arange(qmin,qmax,qstep)
718	lx = len(self.x)
719	if enable2D:
720	data=numpy.zeros([len(x),len(y)])
721	for i in range(len(x)):
722	for j in range(len(x)):
723	try:
724	data[i][j]=model.runXY([j,i])
725	except:
726	wx.PostEvent(self.parent, StatusEvent(status="\
727	Model 2D cannot be plot %g %s %s" %(data[i][j],model.name, sys.exc_value)))
728	theory = Data2D(data)
729	theory.group_id =str(model.name)+" 2D"
730	theory.xmin= qmin
731	theory.xmax= qmax
732	theory.ymin= qmin
733	theory.ymax= qmax
734	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
735
736
737	def on_draw_model2D(self, event):
738	"""
739	plot view model 2D
740	"""
741
742	if self.enable_model2D== True:
743	self.enable_model2D=False
744	else:
745	self.enable_model2D=True
746	print "self.enable_model2D",self.enable_model2D
747	if __name__ == "__main__":
748	i = Plugin()
749
750
751
752

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 6bcdad1

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