fitting.py @ ed2ea6a

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 ed2ea6a was ed2ea6a, checked in by Gervaise Alina <gervyh@…>, 15 years ago
print statement removed
Property mode set to `100644`
File size: 42.4 KB

Line
1	import re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from copy import deepcopy
6	from danse.common.plottools.plottables import Theory1D,Data2D
7	from sans.guicomm.events import NewPlotEvent, StatusEvent
8	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
9
10	from sans.fit.AbstractFitEngine import Model
11	from fitproblem import FitProblem
12	from fitpanel import FitPanel
13	from fit_thread import FitThread
14	import models
15	import fitpage1D
16
17	DEFAULT_BEAM = 0.005
18	DEFAULT_QMIN = 0.0
19	DEFAULT_QMAX = 0.1
20	DEFAULT_NPTS = 50
21
22	class Plugin:
23	"""
24	Fitting plugin is used to perform fit
25	"""
26	def __init__(self):
27	## Plug-in name
28	self.sub_menu = "Fitting"
29
30	## Reference to the parent window
31	self.parent = None
32	#Provide list of models existing in the application
33	self.menu_mng = models.ModelManager()
34	## List of panels for the simulation perspective (names)
35	self.perspective = []
36	#list of panel to send to guiframe
37	self.mypanels=[]
38	# reference to the current running thread
39	self.calc_thread = None
40	# Start with a good default
41	self.elapsed = 0.022
42	# the type of optimizer selected, park or scipy
43	self.fitter = None
44	#Flag to let the plug-in know that it is running stand alone
45	self.standalone=True
46	## Fit engine
47	self._fit_engine = 'scipy'
48	#List of selected data
49	self.selected_data_list=[]
50	# Log startup
51	logging.info("Fitting plug-in started")
52	# model 2D view
53	self.model2D_id=None
54	#keep reference of the simultaneous fit page
55	self.sim_page=None
56	#dictionary containing data name and error on dy of that data
57	self.err_dy={}
58
59	def _on_data_error(self, event):
60	"""
61	receives and event from plotting plu-gins to store the data name and
62	their errors of y coordinates for 1Data hide and show error
63	"""
64	self.err_dy= event.err_dy
65
66	def populate_menu(self, id, owner):
67	"""
68	Create a menu for the Fitting plug-in
69	@param id: id to create a menu
70	@param owner: owner of menu
71	@ return : list of information to populate the main menu
72	"""
73	#Menu for fitting
74	self.menu1 = wx.Menu()
75	id1 = wx.NewId()
76	self.menu1.Append(id1, '&Simultaneous')
77	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
78	#Set park engine
79	id3 = wx.NewId()
80	self.menu1.AppendCheckItem(id3, "park")
81	wx.EVT_MENU(owner, id3, self._onset_engine)
82
83	#menu for model
84	menu2 = wx.Menu()
85
86	self.menu_mng.populate_menu(menu2, owner)
87	id2 = wx.NewId()
88	owner.Bind(models.EVT_MODEL,self._on_model_menu)
89
90	self.fit_panel.set_owner(owner)
91	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
92	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
93
94	#create menubar items
95	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
96
97	def on_add_sim_page(self, event):
98	"""
99	"""
100	self.sim_page= self.fit_panel.add_sim_page()
101	self.sim_page.add_model(self.page_finder)
102
103
104	def help(self, evt):
105	"""
106	Show a general help dialog.
107	TODO: replace the text with a nice image
108	"""
109	#from helpDialog import HelpWindow
110	#dialog = HelpWindow(None, -1, 'HelpWindow')
111	#if dialog.ShowModal() == wx.ID_OK:
112	# pass
113	#dialog.Destroy()
114	from helpPanel import HelpWindow
115	frame = HelpWindow(None, -1, 'HelpWindow')
116	frame.Show(True)
117
118
119	def get_context_menu(self, graph=None):
120	"""
121	Get the context menu items available for P(r)
122	@param graph: the Graph object to which we attach the context menu
123	@return: a list of menu items with call-back function
124	"""
125	self.graph=graph
126	for item in graph.plottables:
127	if item.__class__.__name__ is "Data2D":
128	return [["Select data for Fitting",\
129	"Dialog with fitting parameters ", self._onSelect]]
130	else:
131	#if item.name==graph.selected_plottable and\
132	# item.__class__.__name__ is "Data1D":
133	if item.name==graph.selected_plottable :
134	return [["Select data for Fitting", \
135	"Dialog with fitting parameters ", self._onSelect]]
136	return []
137
138
139	def get_panels(self, parent):
140	"""
141	Create and return a list of panel objects
142	"""
143	self.parent = parent
144	# Creation of the fit panel
145	self.fit_panel = FitPanel(self.parent, -1)
146	#Set the manager forthe main panel
147	self.fit_panel.set_manager(self)
148	# List of windows used for the perspective
149	self.perspective = []
150	self.perspective.append(self.fit_panel.window_name)
151	# take care of saving data, model and page associated with each other
152	self.page_finder = {}
153	#index number to create random model name
154	self.index_model = 0
155	self.index_theory= 0
156	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
157	self.parent.Bind( ERR_DATA, self._on_data_error)
158
159	#create the fitting panel
160	#return [self.fit_panel]
161
162	self.mypanels.append(self.fit_panel)
163	return self.mypanels
164
165
166	def _on_slicer_event(self, event):
167	"""
168	"""
169	#print "fitting:slicer event ", event.panel
170	if event.panel!=None:
171	new_panel = event.panel
172	# Set group ID if available
173	event_id = self.parent.popup_panel(new_panel)
174	self.menu1.Append(event_id, new_panel.window_caption,
175	"Show %s plot panel" % new_panel.window_caption)
176	# Set UID to allow us to reference the panel later
177	new_panel.uid = event_id
178	new_panel
179	self.mypanels.append(new_panel)
180	return
181
182
183	def _on_show_panel(self, event):
184	print "_on_show_panel: fitting"
185
186
187	def get_perspective(self):
188	"""
189	Get the list of panel names for this perspective
190	"""
191	return self.perspective
192
193
194	def on_perspective(self, event):
195	"""
196	Call back function for the perspective menu item.
197	We notify the parent window that the perspective
198	has changed.
199	"""
200	self.parent.set_perspective(self.perspective)
201
202
203	def post_init(self):
204	"""
205	Post initialization call back to close the loose ends
206	[Somehow openGL needs this call]
207	"""
208	self.parent.set_perspective(self.perspective)
209
210
211	def copy_data(self, item, dy):
212	"""
213	"""
214	detector=None
215	source=None
216	dxl=None
217	dxw=None
218	if hasattr(item, "dxl"):
219	dxl = item.dxl
220	if hasattr(item, "dxw"):
221	dxw = item.dxw
222	if hasattr(item, "detector"):
223	detector =item.detector
224	if hasattr(item, "source"):
225	source =item.source
226	from sans.guiframe import dataFitting
227	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
228	data.name=item.name
229	data.detector=detector
230	data.source= source
231	return data
232
233
234	def _onSelect(self,event):
235	"""
236	when Select data to fit a new page is created .Its reference is
237	added to self.page_finder
238	"""
239	self.panel = event.GetEventObject()
240	for item in self.panel.graph.plottables:
241	if item.name == self.panel.graph.selected_plottable:
242	if len(self.err_dy)>0:
243	if item.name in self.err_dy.iterkeys():
244	dy= self.err_dy[item.name]
245	data= self.copy_data(item, dy)
246	else:
247	data= item
248	else:
249	if item.dy==None:
250	dy= numpy.zeros(len(item.y))
251	dy[dy==0]=1
252	data= self.copy_data(item, dy)
253	else:
254	data= item
255	else:
256	data= item
257
258
259	if item.name == self.panel.graph.selected_plottable or\
260	item.__class__.__name__ is "Data2D":
261	#find a name for the page created for notebook
262	#print "fitting", self.panel
263	try:
264
265	#page = self.fit_panel.add_fit_page(item)
266	page = self.fit_panel.add_fit_page(data)
267	#page, model_name = self.fit_panel.add_fit_page(item)
268	# add data associated to the page created
269
270	if page !=None:
271	#create a fitproblem storing all link to data,model,page creation
272	self.page_finder[page]= FitProblem()
273	#self.page_finder[page].save_model_name(model_name)
274	self.page_finder[page].add_plotted_data(item)
275	self.page_finder[page].add_fit_data(data)
276
277
278	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
279	else:
280	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
281	except:
282	#raise
283	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
284	%sys.exc_value))
285	return
286
287
288	def schedule_for_fit(self,value=0,fitproblem =None):
289	"""
290
291	"""
292	if fitproblem !=None:
293	fitproblem.schedule_tofit(value)
294	else:
295	current_pg=self.fit_panel.get_current_page()
296	for page, val in self.page_finder.iteritems():
297	if page ==current_pg :
298	val.schedule_tofit(value)
299	break
300
301
302	def get_page_finder(self):
303	""" @return self.page_finder used also by simfitpage.py"""
304	return self.page_finder
305
306
307	def set_page_finder(self,modelname,names,values):
308	"""
309	Used by simfitpage.py to reset a parameter given the string constrainst.
310	@param modelname: the name ot the model for with the parameter has to reset
311	@param value: can be a string in this case.
312	@param names: the paramter name
313	@note: expecting park used for fit.
314	"""
315	#sim_page=self.fit_panel.GetPage(1)
316	sim_page= self.sim_page
317	for page, value in self.page_finder.iteritems():
318	if page != sim_page:
319	list=value.get_model()
320	model=list[0]
321	#print "fitting",model.name,modelname, values
322	if model.name== modelname:
323	value.set_model_param(names,values)
324	break
325
326
327
328	def split_string(self,item):
329	"""
330	receive a word containing dot and split it. used to split parameterset
331	name into model name and parameter name example:
332	paramaterset (item) = M1.A
333	@return model_name =M1 , parameter name =A
334	"""
335	if string.find(item,".")!=-1:
336	param_names= re.split("\.",item)
337	model_name=param_names[0]
338	param_name=param_names[1]
339	return model_name,param_name
340
341
342	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
343	ymin=None, ymax=None, xmin=None, xmax=None):
344	"""
345	Display fit result on one page of the notebook.
346	@param result: result of fit
347	@param pars: list of names of parameters fitted
348	@param current_pg: the page where information will be displayed
349	@param qmin: the minimum value of x to replot the model
350	@param qmax: the maximum value of x to replot model
351
352	"""
353
354	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
355	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
356	complete " , type="stop"))
357	try:
358	for page, value in self.page_finder.iteritems():
359	if page==cpage :
360	#fitdata = value.get_data()
361	list = value.get_model()
362	model= list[0]
363	break
364	i = 0
365
366	for name in pars:
367	if result.pvec.__class__==numpy.float64:
368	model.setParam(name,result.pvec)
369	else:
370	#print "fitting result : chisqr",result.fitness
371	#print "fitting result : pvec",result.pvec
372	#print "fitting result : stderr",result.stderr
373	#model.setParam(name,result.pvec[i])
374	# print "fitting: single fit", name, result.pvec[i]
375	i += 1
376
377
378	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
379	#title="Fitted model 2D "
380	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
381	ymin=ymin, ymax=ymax,
382	xmin=xmin, xmax=xmax,title=None)
383	except:
384	#raise
385	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
386	return
387
388
389	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
390	xmin=None, xmax=None, ymin=None, ymax=None):
391	"""
392	Parameter estimation completed,
393	display the results to the user
394	@param alpha: estimated best alpha
395	@param elapsed: computation time
396	"""
397	if cpage!=None:
398	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
399	qmin=qmin,qmax=qmax,
400	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
401	return
402	else:
403	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
404	complete ", type="stop"))
405	#print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
406
407	try:
408	for page, value in self.page_finder.iteritems():
409	if value.get_scheduled()==1:
410	#fitdata = value.get_data()
411	list = value.get_model()
412	model= list[0]
413
414	small_out = []
415	small_cov = []
416	i = 0
417	#Separate result in to data corresponding to each page
418	for p in result.parameters:
419	model_name,param_name = self.split_string(p.name)
420	if model.name == model_name:
421	small_out.append(p.value )
422	if p.stderr==None:
423	p.stderr=numpy.nan
424	small_cov.append(p.stderr)
425	model.setParam(param_name,p.value)
426	# Display result on each page
427	#print "mmmm",p.value,p.stderr
428	page.onsetValues(result.fitness, small_out,small_cov)
429	#print "out,err",small_out,small_cov
430	#Replot model
431	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
432	xmin=xmin, xmax=xmax,
433	ymin=ymin, ymax=ymax)
434	except:
435	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
436	return
437
438
439	def stop_fit(self):
440	"""
441	"""
442	if self.calc_thread != None and self.calc_thread.isrunning():
443	#self.calc_thread.interrupt()
444	self.calc_thread.stop()
445	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
446	is cancelled" , type="stop"))
447
448
449	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
450	"""
451	perform fit for the current page and return chisqr,out and cov
452	@param engineName: type of fit to be performed
453	@param id: unique id corresponding to a fit problem(model, set of data)
454	@param model: model to fit
455
456	"""
457	#print "in single fitting"
458	#set an engine to perform fit
459	from sans.fit.Fitting import Fit
460	self.fitter= Fit(self._fit_engine)
461	#Setting an id to store model and data in fit engine
462	self.fit_id= 0
463	if id!=None:
464	self.fit_id= id
465
466	page_fitted=None
467	fit_problem=None
468	#Get information (model , data) related to the page on
469	#with the fit will be perform
470	current_pg=self.fit_panel.get_current_page()
471	#simul_pg=self.fit_panel.GetPage(1 )
472	simul_pg=self.sim_page
473	pars=[]
474	#for page, value in self.page_finder.iteritems():
475	if current_pg!= simul_pg:
476	# if value.get_scheduled() ==1 :
477	value = self.page_finder[current_pg]
478	metadata = value.get_fit_data()
479	list = value.get_model()
480	model = list[0]
481	smearer= value.get_smearer()
482
483
484	#Create list of parameters for fitting used
485
486	templist=[]
487	try:
488	#templist=current_pg.get_param_list()
489	templist=current_pg.get_param_list()
490	for element in templist:
491	pars.append(str(element[0].GetLabelText()))
492	pars.sort()
493	#Do the single fit
494	self.fitter.set_model(Model(model), self.fit_id, pars)
495	if self._fit_engine=="scipy":
496	wx.PostEvent(self.parent, StatusEvent(status="Parameters range will\
497	be ignored for %s fitting engine"%str(self._fit_engine)))
498	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
499	dy=[]
500	x=[]
501	y=[]
502	if metadata.__class__ in ["Data1D","Theory1D"]:
503	for i in range(len(metadata.dy)):
504	if metadata.dy[i] !=0:
505	dy.append(metadata.dy[i])
506	x.append(metadata.x[i])
507	y.append(metadata.y[i])
508	if len(dy)>0:
509	metadata.dy=numpy.zeros(len(dy))
510	metadata.dy=dy
511	metadata.y=numpy.zeros(len(y))
512	metadata.y=y
513	metadata.x=numpy.zeros(len(x))
514	metadata.x=x
515	self.fitter.set_data(data=metadata,Uid=self.fit_id,
516	smearer=smearer,qmin= qmin,qmax=qmax,
517	ymin=ymin,ymax=ymax)
518	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
519	page_fitted=current_pg
520	#self.fit_id+=1
521	#self.schedule_for_fit( 0,value)
522	except:
523	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
524	return
525	# make sure to keep an alphabetic order
526	#of parameter names in the list
527	try:
528	# If a thread is already started, stop it
529	if self.calc_thread != None and self.calc_thread.isrunning():
530	self.calc_thread.stop()
531
532	self.calc_thread =FitThread(parent =self.parent,
533	fn= self.fitter,
534	pars= pars,
535	cpage= page_fitted,
536	qmin=qmin,
537	qmax=qmax,
538
539	completefn=self._single_fit_completed,
540	updatefn=None)
541	self.calc_thread.queue()
542	self.calc_thread.ready(2.5)
543
544	except:
545	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
546	return
547
548	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
549	"""
550	perform fit for all the pages selected on simpage and return chisqr,out and cov
551	@param engineName: type of fit to be performed
552	@param id: unique id corresponding to a fit problem(model, set of data)
553	in park_integration
554	@param model: model to fit
555
556	"""
557	#set an engine to perform fit
558	from sans.fit.Fitting import Fit
559	self.fitter= Fit(self._fit_engine)
560	self.fit_id= 0
561	#Setting an id to store model and data
562	if id!=None:
563	self.fit_id= id
564
565
566	for page, value in self.page_finder.iteritems():
567	try:
568	if value.get_scheduled()==1:
569	metadata = value.get_fit_data()
570	list = value.get_model()
571	model= list[0]
572	#Create dictionary of parameters for fitting used
573	cpage= page
574	print ""
575	pars = []
576	templist = []
577	templist = page.get_param_list()
578	for element in templist:
579	try:
580	name = str(element[0].GetLabelText())
581	pars.append(name)
582	except:
583	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
584	return
585	# need to check this print "new model "
586
587	new_model=Model(model)
588	param=value.get_model_param()
589
590	if len(param)>0:
591	for item in param:
592	param_value = item[1]
593	param_name = item[0]
594
595	new_model.parameterset[ param_name].set( param_value )
596
597	self.fitter.set_model(new_model, self.fit_id, pars)
598	#print "sim-->model",metadata,model,self.fit_id, pars
599	dy=[]
600	x=[]
601	y=[]
602	if metadata.__class__ in ["Data1D","Theory1D"]:
603	for i in range(len(metadata.dy)):
604	if metadata.dy[i] !=0:
605	dy.append(metadata.dy[i])
606	x.append(metadata.x[i])
607	y.append(metadata.y[i])
608	if len(dy)>0:
609	metadata.dy=numpy.zeros(len(dy))
610	metadata.dy=dy
611	metadata.y=numpy.zeros(len(y))
612	metadata.y=y
613	metadata.x=numpy.zeros(len(x))
614	metadata.x=x
615	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
616	#print "sim---->value of problem",value.get_scheduled()
617	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
618	self.fit_id += 1
619	value.clear_model_param()
620	#self.schedule_for_fit( 0,value)
621	except:
622	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
623	return
624	#Do the simultaneous fit
625	try:
626	# If a thread is already started, stop it
627	if self.calc_thread != None and self.calc_thread.isrunning():
628	self.calc_thread.stop()
629	if self.fit_id==1:
630	self.calc_thread =FitThread(parent =self.parent,
631	fn= self.fitter,
632	qmin=qmin,
633	qmax=qmax,
634	ymin= ymin,
635	ymax= ymax,
636	cpage=cpage,
637	pars= pars,
638	completefn= self._simul_fit_completed,
639	updatefn=None)
640
641	else:
642	self.calc_thread =FitThread(parent =self.parent,
643	fn= self.fitter,
644	qmin=qmin,
645	qmax=qmax,
646	ymin= ymin,
647	ymax= ymax,
648	completefn= self._simul_fit_completed,
649	updatefn=None)
650	self.calc_thread.queue()
651	self.calc_thread.ready(2.5)
652
653	except:
654	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
655	return
656
657
658	def _onset_engine(self,event):
659	"""
660	set engine to scipy
661	"""
662	if self._fit_engine== 'park':
663	self._on_change_engine('scipy')
664	else:
665	self._on_change_engine('park')
666	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
667
668
669	def _on_change_engine(self, engine='park'):
670	"""
671	Allow to select the type of engine to perform fit
672	@param engine: the key work of the engine
673	"""
674	self._fit_engine = engine
675
676
677	def _on_model_panel(self, evt):
678	"""
679	react to model selection on any combo box or model menu.plot the model
680	"""
681
682	model = evt.model
683	name = evt.name
684
685	#print "name fitting", name
686	#sim_page=self.fit_panel.GetPage(1)
687	sim_page=self.sim_page
688	current_pg = self.fit_panel.get_current_page()
689	if current_pg != sim_page:
690	current_pg.set_panel(model)
691	#model.name = self.page_finder[current_pg].get_name()
692	#print "model name", model.name
693	model.name="M"+str(self.index_model)
694	try:
695	metadata=self.page_finder[current_pg].get_data()
696	M_name=model.name+"= "+name+"("+metadata.group_id+")"
697	except:
698	M_name=model.name+"= "+name
699	self.index_model += 1
700
701
702	# save model name
703
704	# save the name containing the data name with the appropriate model
705	self.page_finder[current_pg].set_model(model,M_name)
706	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
707	if self.sim_page!=None:
708	self.sim_page.add_model(self.page_finder)
709
710	def set_smearer(self,smearer):
711	"""
712
713	"""
714	current_pg=self.fit_panel.get_current_page()
715	self.page_finder[current_pg].set_smearer(smearer)
716
717	def redraw_model(self,qmin= None,qmax= None):
718	"""
719	Draw a theory according to model changes or data range.
720	@param qmin: the minimum value plotted for theory
721	@param qmax: the maximum value plotted for theory
722	"""
723	current_pg=self.fit_panel.get_current_page()
724	for page, value in self.page_finder.iteritems():
725	if page ==current_pg :
726	break
727	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
728
729	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
730	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
731	"""
732	Plot a theory given a model and data
733	@param model: the model from where the theory is derived
734	@param currpage: page in a dictionary referring to some data
735	"""
736	if self.fit_panel.GetPageCount() >1:
737	for page in self.page_finder.iterkeys():
738	if page==currpage :
739	data=self.page_finder[page].get_plotted_data()
740	list=self.page_finder[page].get_model()
741	model=list[0]
742	break
743	#print "model in fitting",model
744	if data!=None and data.__class__.__name__ != 'Data2D':
745	theory = Theory1D(x=[], y=[])
746	theory.name = model.name
747	theory.group_id = data.group_id
748	theory.id = "Model"
749
750	x_name, x_units = data.get_xaxis()
751	y_name, y_units = data.get_yaxis()
752	theory.xaxis(x_name, x_units)
753	theory.yaxis(y_name, y_units)
754	if qmin == None :
755	qmin = min(data.x)
756	if qmax == None :
757	qmax = max(data.x)
758	try:
759	tempx = qmin
760	tempy = model.run(qmin)
761	theory.x.append(tempx)
762	theory.y.append(tempy)
763	except :
764	wx.PostEvent(self.parent, StatusEvent(status="fitting \
765	skipping point x %g %s" %(qmin, sys.exc_value)))
766
767	for i in range(len(data.x)):
768	try:
769	if data.x[i]> qmin and data.x[i]< qmax:
770	tempx = data.x[i]
771	tempy = model.run(tempx)
772	theory.x.append(tempx)
773	theory.y.append(tempy)
774
775	except:
776	wx.PostEvent(self.parent, StatusEvent(status="fitting \
777	skipping point x %g %s" %(data.x[i], sys.exc_value)))
778	try:
779	tempx = qmax
780	tempy = model.run(qmax)
781	theory.x.append(tempx)
782	theory.y.append(tempy)
783	except:
784	wx.PostEvent(self.parent, StatusEvent(status="fitting \
785	skipping point x %g %s" %(qmin, sys.exc_value)) )
786
787	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
788	title=str(data.name)))
789	else:
790
791	theory=Data2D(data.data, data.err_data)
792	theory.name= model.name
793	if title !=None:
794	self.title = title
795	theory.id= self.title
796	theory.group_id= self.title+data.name
797	else:
798	self.title= "Analytical model 2D "
799	theory.id= "Model"
800	theory.group_id= "Model"+data.name
801	theory.x_bins= data.x_bins
802	theory.y_bins= data.y_bins
803	tempy=[]
804	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
805	if qmin==None:
806	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
807	if qmax==None:
808	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
809	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
810	if ymin==None:
811	ymin=data.ymin
812	if ymax==None:
813	ymax=data.ymax
814	if xmin ==None:
815	xmin=data.xmin
816	if xmax==None:
817	xmax=data.xmax
818
819	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
820	for j in range(len(data.y_bins)):
821	for i in range(len(data.x_bins)):
822	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
823	if tempqij>= qmin and tempqij<= qmax:
824	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
825	else:
826	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
827	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
828	#print "fitting : plot_helper:", theory.image
829	#print "fitting : plot_helper:",theory.image
830	theory.detector= data.detector
831	theory.source= data.source
832
833	theory.qmin= qmin
834	theory.qmax= qmax
835	theory.ymin= ymin
836	theory.ymax= ymax
837	theory.xmin= xmin
838	theory.xmax= xmax
839
840	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
841	title=self.title +str(data.name)))
842
843
844	def _on_model_menu(self, evt):
845	"""
846	Plot a theory from a model selected from the menu
847	"""
848	name = evt.model.__name__
849	if hasattr(evt.model, "name"):
850	name = evt.model.name
851	#print "on model menu", name
852	model=evt.model()
853	description=model.description
854
855	# Create a model page. If a new page is created, the model
856	# will be plotted automatically. If a page already exists,
857	# the content will be updated and the plot refreshed
858	self.fit_panel.add_model_page(model,description,name,topmenu=True)
859
860	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
861	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
862	"""
863	draw model with default data value
864	"""
865	if data !=None:
866	self.redraw_model(qmin,qmax)
867	return
868	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
869	self._draw_model2D(model=model,
870	description=model.description,
871	enable2D= enable2D,
872	qmin=qmin,
873	qmax=qmax,
874	qstep=qstep)
875
876
877	def _draw_model1D(self,model,name,description=None, enable1D=True,
878	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
879	"""
880
881	"""
882
883	if enable1D:
884	x= numpy.linspace(start= qmin,
885	stop= qmax,
886	num= qstep,
887	endpoint=True
888	)
889	xlen= len(x)
890	y = numpy.zeros(xlen)
891	if not enable1D:
892	for i in range(xlen):
893	y[i] = model.run(x[i])
894
895	try:
896	new_plot = Theory1D(x, y)
897
898	new_plot.name = name
899	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
900	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
901	new_plot.id = "Model"
902	new_plot.group_id ="Model"
903	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
904	except:
905	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
906	#raise
907	return
908	else:
909	for i in range(xlen):
910	y[i] = model.run(x[i])
911	try:
912	new_plot = Theory1D(x, y)
913	#print "draw model 1D", name
914	new_plot.name = name
915	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
916	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
917	new_plot.id ="Model"
918	new_plot.group_id ="Model"
919
920	# Pass the reset flag to let the plotting event handler
921	# know that we are replacing the whole plot
922	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
923	title="Analytical model 1D ", reset=True ))
924
925	except:
926	#raise
927	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
928	return
929
930
931
932	def update(self, output,time):
933	"""
934	"""
935	pass
936
937	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
938	"""
939	"""
940	wx.PostEvent(self.parent, StatusEvent(status="Calc \
941	complete !" , type="stop"))
942	#print "complete",output, model,qmin, qmax
943	data = output
944	temp= numpy.zeros(numpy.shape(data))
945	temp[temp==0]=1
946	theory= Data2D(image=data, err_image=temp)
947
948	from DataLoader.data_info import Detector, Source
949
950	detector = Detector()
951	theory.detector=[]
952	theory.detector.append(detector)
953
954	theory.detector[0].distance=1e+32#13705.0
955	theory.source= Source()
956	theory.source.wavelength=2*math.pi/1e+32#8.4
957	theory.x_bins =[]
958	theory.y_bins =[]
959	#Now qmax is xmax.
960	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
961	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
962	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
963	theory.detector[0].beam_center.x= qmax
964	theory.detector[0].beam_center.y= qmax
965	#print "xmax,qmax",xmax,qmax
966	# compute x_bins and y_bins
967	# Qx and Qy vectors
968
969	distance = theory.detector[0].distance
970	pixel = qstep/2-1
971	theta = pixel / distance / qstep#100.0
972	wavelength = theory.source.wavelength
973	pixel_width_x = theory.detector[0].pixel_size.x
974	pixel_width_y = theory.detector[0].pixel_size.y
975	center_x = theory.detector[0].beam_center.x/pixel_width_x
976	center_y = theory.detector[0].beam_center.y/pixel_width_y
977
978
979	size_x, size_y= numpy.shape(theory.data)
980	#print "size_x,size_y",size_x, size_y
981	#This case, q and x are equivalent to each other.
982	for i_x in range(size_x):
983	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
984	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
985	theory.x_bins.append(qx)
986	for i_y in range(size_y):
987	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
988	qy =4.0math.pi/wavelength math.tan(theta/2.0)
989	theory.y_bins.append(qy)
990
991	#theory.err_data= numpy.
992	theory.name= model.name
993	theory.group_id ="Model"
994	theory.id ="Model"
995
996
997
998	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
999	theory.xmax= qmax#/math.sqrt(2)
1000	theory.ymin= -qmax#/math.sqrt(2)
1001	theory.ymax= qmax#/math.sqrt(2)
1002
1003	#print "model draw comptele xmax",theory.xmax,model.name
1004	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1005	title="Analytical model 2D ", reset=True ))
1006
1007
1008
1009	def _draw_model2D(self,model,description=None, enable2D=False,
1010	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1011
1012	x= numpy.linspace(start= -1*qmax,
1013	stop= qmax,
1014	num= qstep,
1015	endpoint=True )
1016	y = numpy.linspace(start= -1*qmax,
1017	stop= qmax,
1018	num= qstep,
1019	endpoint=True )
1020
1021	lx = len(x)
1022	#print x
1023	#data=numpy.zeros([len(x),len(y)])
1024	self.model= model
1025	if enable2D:
1026	try:
1027	from sans.guiframe.model_thread import Calc2D
1028	# print "in draw model 2d ",self.model
1029	self.calc_thread = Calc2D(parent =self.parent,x=x,
1030	y=y,model= self.model,
1031	qmin=qmin,
1032	qmax=qmax,
1033	qstep=qstep,
1034	completefn=self.complete,
1035	updatefn=None)
1036	self.calc_thread.queue()
1037	self.calc_thread.ready(2.5)
1038	except:
1039	raise
1040
1041	def show_panel2D(self, id=None ):
1042	self.parent.show_panel(self.model2D_id)
1043
1044
1045	if __name__ == "__main__":
1046	i = Plugin()
1047
1048
1049
1050

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ ed2ea6a

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