fitting.py @ c98b1d5

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 c98b1d5 was c98b1d5, checked in by Jae Cho <jhjcho@…>, 15 years ago
fixed simul.-fitting bug.
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 Data1D, Theory1D,Data2D
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL,ERR_DATA
10
11	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data,
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models#,modelpage
16	import fitpage1D
17	#import park
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.1
21	DEFAULT_NPTS = 50
22	import time
23	import thread
24	print "main",thread.get_ident()
25
26	class Plugin:
27	"""
28	Fitting plugin is used to perform fit
29	"""
30	def __init__(self):
31	## Plug-in name
32	self.sub_menu = "Fitting"
33
34	## Reference to the parent window
35	self.parent = None
36	self.menu_mng = models.ModelManager()
37	## List of panels for the simulation perspective (names)
38	self.perspective = []
39	self.mypanels=[]
40	self.calc_thread = None
41	self.done = False
42	# Start with a good default
43	self.elapsed = 0.022
44	self.fitter = None
45
46	#Flag to let the plug-in know that it is running standalone
47	self.standalone=True
48	## Fit engine
49	self._fit_engine = 'scipy'
50	self.enable_model2D=False
51	# list of selcted data
52	self.selected_data_list=[]
53	# Log startup
54	logging.info("Fitting plug-in started")
55	# model 2D view
56	self.model2D_id=None
57	self.sim_page=None
58	self.err_dy={}
59
60	def _on_data_error(self, event):
61	self.err_dy= event.err_dy
62
63	def populate_menu(self, id, owner):
64	"""
65	Create a menu for the Fitting plug-in
66	@param id: id to create a menu
67	@param owner: owner of menu
68	@ return : list of information to populate the main menu
69	"""
70	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
71	#Menu for fitting
72	self.menu1 = wx.Menu()
73	id1 = wx.NewId()
74	self.menu1.Append(id1, '&Simultaneous')
75	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
76	#Set park engine
77	id3 = wx.NewId()
78	self.menu1.AppendCheckItem(id3, "park")
79	wx.EVT_MENU(owner, id3, self._onset_engine)
80
81	#menu for model
82	menu2 = wx.Menu()
83
84	self.menu_mng.populate_menu(menu2, owner)
85	id2 = wx.NewId()
86	owner.Bind(models.EVT_MODEL,self._on_model_menu)
87
88	self.fit_panel.set_owner(owner)
89	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
90	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
91
92	#create menubar items
93	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
94
95	def on_add_sim_page(self, event):
96	self.sim_page= self.fit_panel.add_sim_page()
97	self.sim_page.add_model(self.page_finder)
98
99
100	def help(self, evt):
101	"""
102	Show a general help dialog.
103	TODO: replace the text with a nice image
104	"""
105	#from helpDialog import HelpWindow
106	#dialog = HelpWindow(None, -1, 'HelpWindow')
107	#if dialog.ShowModal() == wx.ID_OK:
108	# pass
109	#dialog.Destroy()
110	from helpPanel import HelpWindow
111	frame = HelpWindow(None, -1, 'HelpWindow')
112	frame.Show(True)
113
114
115
116
117	def get_context_menu(self, graph=None):
118	"""
119	Get the context menu items available for P(r)
120	@param graph: the Graph object to which we attach the context menu
121	@return: a list of menu items with call-back function
122	"""
123	self.graph=graph
124	for item in graph.plottables:
125	if item.__class__.__name__ is "Data2D":
126	return [["Select data for Fitting",\
127	"Dialog with fitting parameters ", self._onSelect]]
128	else:
129	#if item.name==graph.selected_plottable and\
130	# item.__class__.__name__ is "Data1D":
131	if item.name==graph.selected_plottable :
132	return [["Select data for Fitting", \
133	"Dialog with fitting parameters ", self._onSelect]]
134	return []
135
136
137	def get_panels(self, parent):
138	"""
139	Create and return a list of panel objects
140	"""
141	self.parent = parent
142	# Creation of the fit panel
143	self.fit_panel = FitPanel(self.parent, -1)
144	#Set the manager forthe main panel
145	self.fit_panel.set_manager(self)
146	# List of windows used for the perspective
147	self.perspective = []
148	self.perspective.append(self.fit_panel.window_name)
149	# take care of saving data, model and page associated with each other
150	self.page_finder = {}
151	#index number to create random model name
152	self.index_model = 0
153	self.index_theory= 0
154	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
155	self.parent.Bind( ERR_DATA, self._on_data_error)
156
157	#create the fitting panel
158	#return [self.fit_panel]
159
160	self.mypanels.append(self.fit_panel)
161	return self.mypanels
162
163
164	def _on_model2D_show(self, event ):
165	print "model2D get the id ", event.id
166
167
168	def _on_slicer_event(self, event):
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	def _on_show_panel(self, event):
182	print "_on_show_panel: fitting"
183
184	def get_perspective(self):
185	"""
186	Get the list of panel names for this perspective
187	"""
188	return self.perspective
189
190
191	def on_perspective(self, event):
192	"""
193	Call back function for the perspective menu item.
194	We notify the parent window that the perspective
195	has changed.
196	"""
197	self.parent.set_perspective(self.perspective)
198
199
200	def post_init(self):
201	"""
202	Post initialization call back to close the loose ends
203	[Somehow openGL needs this call]
204	"""
205	self.parent.set_perspective(self.perspective)
206
207	def copy_data(self, item, dy):
208	detector=None
209	source=None
210	dxl=None
211	dxw=None
212	if hasattr(item, "dxl"):
213	dxl = item.dxl
214	if hasattr(item, "dxw"):
215	dxw = item.dxw
216	if hasattr(item, "detector"):
217	detector =item.detector
218	if hasattr(item, "source"):
219	source =item.source
220	from sans.guiframe import dataFitting
221	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
222	data.name=item.name
223	data.detector=detector
224	data.source= source
225	return data
226
227	def _onSelect(self,event):
228	"""
229	when Select data to fit a new page is created .Its reference is
230	added to self.page_finder
231	"""
232	self.panel = event.GetEventObject()
233	for item in self.panel.graph.plottables:
234	if item.name == self.panel.graph.selected_plottable:
235	if len(self.err_dy)>0:
236	if item.name in self.err_dy.iterkeys():
237	dy= self.err_dy[item.name]
238	data= self.copy_data(item, dy)
239	else:
240	data= item
241	else:
242	if item.dy==None:
243	dy= numpy.zeros(len(item.y))
244	dy[dy==0]=1
245	data= self.copy_data(item, dy)
246	else:
247	data= item
248	else:
249	data= item
250
251
252	if item.name == self.panel.graph.selected_plottable or\
253	item.__class__.__name__ is "Data2D":
254	#find a name for the page created for notebook
255	print "fitting", self.panel
256	try:
257
258	#page = self.fit_panel.add_fit_page(item)
259	page = self.fit_panel.add_fit_page(data)
260	#page, model_name = self.fit_panel.add_fit_page(item)
261	# add data associated to the page created
262
263	if page !=None:
264	#create a fitproblem storing all link to data,model,page creation
265	self.page_finder[page]= FitProblem()
266	#self.page_finder[page].save_model_name(model_name)
267	self.page_finder[page].add_plotted_data(item)
268	self.page_finder[page].add_fit_data(data)
269
270
271	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
272	else:
273	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
274	except:
275	raise
276	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
277	#%sys.exc_value))
278
279
280	def schedule_for_fit(self,value=0,fitproblem =None):
281	"""
282
283	"""
284	if fitproblem !=None:
285	fitproblem.schedule_tofit(value)
286	else:
287	current_pg=self.fit_panel.get_current_page()
288	for page, val in self.page_finder.iteritems():
289	if page ==current_pg :
290	val.schedule_tofit(value)
291	break
292
293
294	def get_page_finder(self):
295	""" @return self.page_finder used also by simfitpage.py"""
296	return self.page_finder
297
298
299	def set_page_finder(self,modelname,names,values):
300	"""
301	Used by simfitpage.py to reset a parameter given the string constrainst.
302	@param modelname: the name ot the model for with the parameter has to reset
303	@param value: can be a string in this case.
304	@param names: the paramter name
305	@note: expecting park used for fit.
306	"""
307	#sim_page=self.fit_panel.GetPage(1)
308	sim_page= self.sim_page
309	for page, value in self.page_finder.iteritems():
310	if page != sim_page:
311	list=value.get_model()
312	model=list[0]
313	print "fitting",model.name,modelname, values
314	if model.name== modelname:
315	value.set_model_param(names,values)
316	break
317
318
319
320	def split_string(self,item):
321	"""
322	receive a word containing dot and split it. used to split parameterset
323	name into model name and parameter name example:
324	paramaterset (item) = M1.A
325	@return model_name =M1 , parameter name =A
326	"""
327	if string.find(item,".")!=-1:
328	param_names= re.split("\.",item)
329	model_name=param_names[0]
330	param_name=param_names[1]
331	return model_name,param_name
332
333
334	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
335	ymin=None, ymax=None, xmin=None, xmax=None):
336	"""
337	Display fit result on one page of the notebook.
338	@param result: result of fit
339	@param pars: list of names of parameters fitted
340	@param current_pg: the page where information will be displayed
341	@param qmin: the minimum value of x to replot the model
342	@param qmax: the maximum value of x to replot model
343
344	"""
345
346	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
347	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
348	complete " , type="stop"))
349	try:
350	for page, value in self.page_finder.iteritems():
351	if page==cpage :
352	#fitdata = value.get_data()
353	list = value.get_model()
354	model= list[0]
355	break
356	i = 0
357
358	for name in pars:
359	if result.pvec.__class__==numpy.float64:
360	model.setParam(name,result.pvec)
361	else:
362	print "fitting result : chisqr",result.fitness
363	print "fitting result : pvec",result.pvec
364	print "fitting result : stderr",result.stderr
365	#model.setParam(name,result.pvec[i])
366	# print "fitting: single fit", name, result.pvec[i]
367	i += 1
368
369
370	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
371	#title="Fitted model 2D "
372	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
373	ymin=ymin, ymax=ymax,
374	xmin=xmin, xmax=xmax,title=None)
375	except:
376	raise
377	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
378	#return
379
380	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
381	xmin=None, xmax=None, ymin=None, ymax=None):
382	"""
383	Parameter estimation completed,
384	display the results to the user
385	@param alpha: estimated best alpha
386	@param elapsed: computation time
387	"""
388	if cpage!=None:
389	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
390	qmin=qmin,qmax=qmax,
391	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
392	return
393	else:
394	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
395	complete ", type="stop"))
396	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
397
398	try:
399	for page, value in self.page_finder.iteritems():
400	if value.get_scheduled()==1:
401	#fitdata = value.get_data()
402	list = value.get_model()
403	model= list[0]
404
405	small_out = []
406	small_cov = []
407	i = 0
408	#Separate result in to data corresponding to each page
409	for p in result.parameters:
410	model_name,param_name = self.split_string(p.name)
411	if model.name == model_name:
412	small_out.append(p.value )
413	if p.stderr==None:
414	p.stderr=numpy.nan
415	small_cov.append(p.stderr)
416	model.setParam(param_name,p.value)
417	# Display result on each page
418	#print "mmmm",p.value,p.stderr
419	page.onsetValues(result.fitness, small_out,small_cov)
420	#print "out,err",small_out,small_cov
421	#Replot model
422	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
423	xmin=xmin, xmax=xmax,
424	ymin=ymin, ymax=ymax)
425	except:
426	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
427	return
428	def stop_fit(self):
429	if self.calc_thread != None and self.calc_thread.isrunning():
430	#self.calc_thread.interrupt()
431	self.calc_thread.stop()
432	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
433	is cancelled" , type="stop"))
434	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
435	"""
436	perform fit for the current page and return chisqr,out and cov
437	@param engineName: type of fit to be performed
438	@param id: unique id corresponding to a fit problem(model, set of data)
439	@param model: model to fit
440
441	"""
442	#print "in single fitting"
443	#set an engine to perform fit
444	from sans.fit.Fitting import Fit
445	self.fitter= Fit(self._fit_engine)
446	#Setting an id to store model and data in fit engine
447	self.fit_id= 0
448	if id!=None:
449	self.fit_id= id
450
451	page_fitted=None
452	fit_problem=None
453	#Get information (model , data) related to the page on
454	#with the fit will be perform
455	current_pg=self.fit_panel.get_current_page()
456	#simul_pg=self.fit_panel.GetPage(1 )
457	simul_pg=self.sim_page
458	pars=[]
459	#for page, value in self.page_finder.iteritems():
460	if current_pg!= simul_pg:
461	# if value.get_scheduled() ==1 :
462	value = self.page_finder[current_pg]
463	metadata = value.get_fit_data()
464	list = value.get_model()
465	model = list[0]
466	smearer= value.get_smearer()
467
468
469	#Create list of parameters for fitting used
470
471	templist=[]
472	try:
473	#templist=current_pg.get_param_list()
474	templist=current_pg.get_param_list()
475	for element in templist:
476	pars.append(str(element[0].GetLabelText()))
477	pars.sort()
478	#Do the single fit
479	self.fitter.set_model(Model(model), self.fit_id, pars)
480	if self._fit_engine=="scipy":
481	wx.PostEvent(self.parent, StatusEvent(status="Parameters range will\
482	be ignored for %s fitting engine"%str(self._fit_engine)))
483	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
484	dy=[]
485	x=[]
486	y=[]
487	if metadata.__class__ in ["Data1D","Theory1D"]:
488	for i in range(len(metadata.dy)):
489	if metadata.dy[i] !=0:
490	dy.append(metadata.dy[i])
491	x.append(metadata.x[i])
492	y.append(metadata.y[i])
493	if len(dy)>0:
494	metadata.dy=numpy.zeros(len(dy))
495	metadata.dy=dy
496	metadata.y=numpy.zeros(len(y))
497	metadata.y=y
498	metadata.x=numpy.zeros(len(x))
499	metadata.x=x
500	self.fitter.set_data(data=metadata,Uid=self.fit_id,
501	smearer=smearer,qmin= qmin,qmax=qmax,
502	ymin=ymin,ymax=ymax)
503	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
504	page_fitted=current_pg
505	#self.fit_id+=1
506	#self.schedule_for_fit( 0,value)
507	except:
508	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
509	return
510	# make sure to keep an alphabetic order
511	#of parameter names in the list
512	try:
513	# If a thread is already started, stop it
514	if self.calc_thread != None and self.calc_thread.isrunning():
515	self.calc_thread.stop()
516
517	self.calc_thread =FitThread(parent =self.parent,
518	fn= self.fitter,
519	pars= pars,
520	cpage= page_fitted,
521	qmin=qmin,
522	qmax=qmax,
523
524	completefn=self._single_fit_completed,
525	updatefn=None)
526	self.calc_thread.queue()
527	self.calc_thread.ready(2.5)
528	#while not self.done:
529	#print "when here"
530	# time.sleep(1)
531
532
533	except:
534	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
535	return
536
537	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
538	"""
539	perform fit for all the pages selected on simpage and return chisqr,out and cov
540	@param engineName: type of fit to be performed
541	@param id: unique id corresponding to a fit problem(model, set of data)
542	in park_integration
543	@param model: model to fit
544
545	"""
546	#set an engine to perform fit
547	from sans.fit.Fitting import Fit
548	self.fitter= Fit(self._fit_engine)
549	self.fit_id= 0
550	#Setting an id to store model and data
551	if id!=None:
552	self.fit_id= id
553
554
555	for page, value in self.page_finder.iteritems():
556	try:
557	if value.get_scheduled()==1:
558	metadata = value.get_fit_data()
559	list = value.get_model()
560	model= list[0]
561	#Create dictionary of parameters for fitting used
562	cpage= page
563	print ""
564	pars = []
565	templist = []
566	templist = page.get_param_list()
567	for element in templist:
568	try:
569	name = str(element[0].GetLabelText())
570	pars.append(name)
571	except:
572	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
573	return
574	# need to check this print "new model "
575
576	new_model=Model(model)
577	param=value.get_model_param()
578
579	if len(param)>0:
580	for item in param:
581	param_value = item[1]
582	param_name = item[0]
583
584	new_model.parameterset[ param_name].set( param_value )
585
586	self.fitter.set_model(new_model, self.fit_id, pars)
587	print "sim-->model",metadata,model,self.fit_id, pars
588	dy=[]
589	x=[]
590	y=[]
591	if metadata.__class__ in ["Data1D","Theory1D"]:
592	for i in range(len(metadata.dy)):
593	if metadata.dy[i] !=0:
594	dy.append(metadata.dy[i])
595	x.append(metadata.x[i])
596	y.append(metadata.y[i])
597	if len(dy)>0:
598	metadata.dy=numpy.zeros(len(dy))
599	metadata.dy=dy
600	metadata.y=numpy.zeros(len(y))
601	metadata.y=y
602	metadata.x=numpy.zeros(len(x))
603	metadata.x=x
604	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
605	print "sim---->value of problem",value.get_scheduled()
606	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
607	self.fit_id += 1
608	value.clear_model_param()
609	#self.schedule_for_fit( 0,value)
610	except:
611	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
612	return
613	#Do the simultaneous fit
614	try:
615	# If a thread is already started, stop it
616	if self.calc_thread != None and self.calc_thread.isrunning():
617	self.calc_thread.stop()
618	if self.fit_id==1:
619	self.calc_thread =FitThread(parent =self.parent,
620	fn= self.fitter,
621	qmin=qmin,
622	qmax=qmax,
623	ymin= ymin,
624	ymax= ymax,
625	cpage=cpage,
626	pars= pars,
627	completefn= self._simul_fit_completed,
628	updatefn=None)
629
630	else:
631	self.calc_thread =FitThread(parent =self.parent,
632	fn= self.fitter,
633	qmin=qmin,
634	qmax=qmax,
635	ymin= ymin,
636	ymax= ymax,
637	completefn= self._simul_fit_completed,
638	updatefn=None)
639	self.calc_thread.queue()
640	self.calc_thread.ready(2.5)
641
642	except:
643	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
644	return
645
646
647	def _onset_engine(self,event):
648	""" set engine to scipy"""
649	if self._fit_engine== 'park':
650	self._on_change_engine('scipy')
651	else:
652	self._on_change_engine('park')
653	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
654
655
656	def _on_change_engine(self, engine='park'):
657	"""
658	Allow to select the type of engine to perform fit
659	@param engine: the key work of the engine
660	"""
661	self._fit_engine = engine
662
663
664	def _on_model_panel(self, evt):
665	"""
666	react to model selection on any combo box or model menu.plot the model
667	"""
668
669	model = evt.model
670	name = evt.name
671
672	print "name fitting", name
673	#sim_page=self.fit_panel.GetPage(1)
674	sim_page=self.sim_page
675	current_pg = self.fit_panel.get_current_page()
676	if current_pg != sim_page:
677	current_pg.set_panel(model)
678	#model.name = self.page_finder[current_pg].get_name()
679	#print "model name", model.name
680	model.name="M"+str(self.index_model)
681	try:
682	metadata=self.page_finder[current_pg].get_data()
683	M_name=model.name+"= "+name+"("+metadata.group_id+")"
684	except:
685	M_name=model.name+"= "+name
686	self.index_model += 1
687
688
689	# save model name
690
691	# save the name containing the data name with the appropriate model
692	self.page_finder[current_pg].set_model(model,M_name)
693	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
694	if self.sim_page!=None:
695	self.sim_page.add_model(self.page_finder)
696
697	def set_smearer(self,smearer):
698	current_pg=self.fit_panel.get_current_page()
699	self.page_finder[current_pg].set_smearer(smearer)
700
701	def redraw_model(self,qmin= None,qmax= None):
702	"""
703	Draw a theory according to model changes or data range.
704	@param qmin: the minimum value plotted for theory
705	@param qmax: the maximum value plotted for theory
706	"""
707	current_pg=self.fit_panel.get_current_page()
708	for page, value in self.page_finder.iteritems():
709	if page ==current_pg :
710	break
711	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
712
713	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
714	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
715	"""
716	Plot a theory given a model and data
717	@param model: the model from where the theory is derived
718	@param currpage: page in a dictionary referring to some data
719	"""
720	if self.fit_panel.GetPageCount() >1:
721	for page in self.page_finder.iterkeys():
722	if page==currpage :
723	data=self.page_finder[page].get_plotted_data()
724	list=self.page_finder[page].get_model()
725	model=list[0]
726	break
727	print "model in fitting",model
728	if data!=None and data.__class__.__name__ != 'Data2D':
729	theory = Theory1D(x=[], y=[])
730	theory.name = model.name
731	theory.group_id = data.group_id
732	"""
733	if hasattr(data, "id"):
734	import string
735	if string.find("Model",data.id )!=None:
736	#allow plotting on the same panel
737	theory.id =str(data.id )+" "+str(self.index_theory)
738	self.index_theory +=1
739	else:
740	"""
741	theory.id = "Model"
742
743	x_name, x_units = data.get_xaxis()
744	y_name, y_units = data.get_yaxis()
745	theory.xaxis(x_name, x_units)
746	theory.yaxis(y_name, y_units)
747	if qmin == None :
748	qmin = min(data.x)
749	if qmax == None :
750	qmax = max(data.x)
751	try:
752	tempx = qmin
753	tempy = model.run(qmin)
754	theory.x.append(tempx)
755	theory.y.append(tempy)
756	except :
757	wx.PostEvent(self.parent, StatusEvent(status="fitting \
758	skipping point x %g %s" %(qmin, sys.exc_value)))
759
760	for i in range(len(data.x)):
761	try:
762	if data.x[i]> qmin and data.x[i]< qmax:
763	tempx = data.x[i]
764	tempy = model.run(tempx)
765	theory.x.append(tempx)
766	theory.y.append(tempy)
767
768	except:
769	wx.PostEvent(self.parent, StatusEvent(status="fitting \
770	skipping point x %g %s" %(data.x[i], sys.exc_value)))
771	try:
772	tempx = qmax
773	tempy = model.run(qmax)
774	theory.x.append(tempx)
775	theory.y.append(tempy)
776	except:
777	wx.PostEvent(self.parent, StatusEvent(status="fitting \
778	skipping point x %g %s" %(qmin, sys.exc_value)) )
779	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
780	title=str(data.name)))
781	else:
782
783	theory=Data2D(data.data, data.err_data)
784	theory.name= model.name
785	if title !=None:
786	self.title = title
787	theory.id= self.title
788	theory.group_id= self.title+data.name
789	else:
790	self.title= "Analytical model 2D "
791	theory.id= "Model"
792	theory.group_id= "Model"+data.name
793	theory.x_bins= data.x_bins
794	theory.y_bins= data.y_bins
795	tempy=[]
796	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
797	if qmin==None:
798	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
799	if qmax==None:
800	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
801	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
802	if ymin==None:
803	ymin=data.ymin
804	if ymax==None:
805	ymax=data.ymax
806	if xmin ==None:
807	xmin=data.xmin
808	if xmax==None:
809	xmax=data.xmax
810
811	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
812	for j in range(len(data.y_bins)):
813	for i in range(len(data.x_bins)):
814	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
815	if tempqij>= qmin and tempqij<= qmax:
816	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
817	else:
818	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
819	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
820	#print "fitting : plot_helper:", theory.image
821	#print "fitting : plot_helper:",theory.image
822	theory.detector= data.detector
823	theory.source= data.source
824
825	theory.qmin= qmin
826	theory.qmax= qmax
827	theory.ymin= ymin
828	theory.ymax= ymax
829	theory.xmin= xmin
830	theory.xmax= xmax
831
832	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
833	title=self.title +str(data.name)))
834
835
836	def _on_model_menu(self, evt):
837	"""
838	Plot a theory from a model selected from the menu
839	"""
840	name = evt.model.__name__
841	if hasattr(evt.model, "name"):
842	name = evt.model.name
843	print "on model menu", name
844	model=evt.model()
845	description=model.description
846
847	# Create a model page. If a new page is created, the model
848	# will be plotted automatically. If a page already exists,
849	# the content will be updated and the plot refreshed
850	self.fit_panel.add_model_page(model,description,name,topmenu=True)
851
852	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
853	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
854	"""
855	draw model with default data value
856	"""
857	if data !=None:
858	self.redraw_model(qmin,qmax)
859	return
860	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
861	self._draw_model2D(model=model,
862	description=model.description,
863	enable2D= enable2D,
864	qmin=qmin,
865	qmax=qmax,
866	qstep=qstep)
867
868
869	def _draw_model1D(self,model,name,description=None, enable1D=True,
870	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
871
872	if enable1D:
873	x= numpy.linspace(start= qmin,
874	stop= qmax,
875	num= qstep,
876	endpoint=True
877	)
878	xlen= len(x)
879	y = numpy.zeros(xlen)
880	if not enable1D:
881	for i in range(xlen):
882	y[i] = model.run(x[i])
883
884	try:
885	new_plot = Theory1D(x, y)
886
887	new_plot.name = name
888	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
889	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
890	new_plot.id = "Model"
891	new_plot.group_id ="Model"
892	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
893	except:
894	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
895	#raise
896	else:
897	for i in range(xlen):
898	y[i] = model.run(x[i])
899	try:
900	new_plot = Theory1D(x, y)
901	print "draw model 1D", name
902	new_plot.name = name
903	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
904	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
905	new_plot.id ="Model"
906	new_plot.group_id ="Model"
907
908	# Pass the reset flag to let the plotting event handler
909	# know that we are replacing the whole plot
910	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
911	title="Analytical model 1D ", reset=True ))
912
913	except:
914	#raise
915	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
916	def update(self, output,time):
917	pass
918
919	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
920
921	wx.PostEvent(self.parent, StatusEvent(status="Calc \
922	complete !" , type="stop"))
923	#print "complete",output, model,qmin, qmax
924	data = output
925	temp= numpy.zeros(numpy.shape(data))
926	temp[temp==0]=1
927	theory= Data2D(image=data, err_image=temp)
928
929	from DataLoader.data_info import Detector, Source
930
931	detector = Detector()
932	theory.detector=[]
933	theory.detector.append(detector)
934
935	theory.detector[0].distance=1e+32#13705.0
936	theory.source= Source()
937	theory.source.wavelength=2*math.pi/1e+32#8.4
938	theory.x_bins =[]
939	theory.y_bins =[]
940	#Now qmax is xmax.
941	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
942	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
943	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
944	theory.detector[0].beam_center.x= qmax
945	theory.detector[0].beam_center.y= qmax
946	#print "xmax,qmax",xmax,qmax
947	# compute x_bins and y_bins
948	# Qx and Qy vectors
949
950	distance = theory.detector[0].distance
951	pixel = qstep/2-1
952	theta = pixel / distance / qstep#100.0
953	wavelength = theory.source.wavelength
954	pixel_width_x = theory.detector[0].pixel_size.x
955	pixel_width_y = theory.detector[0].pixel_size.y
956	center_x = theory.detector[0].beam_center.x/pixel_width_x
957	center_y = theory.detector[0].beam_center.y/pixel_width_y
958
959
960	size_x, size_y= numpy.shape(theory.data)
961	#print "size_x,size_y",size_x, size_y
962	#This case, q and x are equivalent to each other.
963	for i_x in range(size_x):
964	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
965	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
966	theory.x_bins.append(qx)
967	for i_y in range(size_y):
968	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
969	qy =4.0math.pi/wavelength math.tan(theta/2.0)
970	theory.y_bins.append(qy)
971
972	#theory.err_data= numpy.
973	theory.name= model.name
974	theory.group_id ="Model"
975	theory.id ="Model"
976
977
978
979	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
980	theory.xmax= qmax#/math.sqrt(2)
981	theory.ymin= -qmax#/math.sqrt(2)
982	theory.ymax= qmax#/math.sqrt(2)
983
984	#print "model draw comptele xmax",theory.xmax,model.name
985	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
986	title="Analytical model 2D ", reset=True ))
987
988
989
990	def _draw_model2D(self,model,description=None, enable2D=False,
991	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
992
993	x= numpy.linspace(start= -1*qmax,
994	stop= qmax,
995	num= qstep,
996	endpoint=True )
997	y = numpy.linspace(start= -1*qmax,
998	stop= qmax,
999	num= qstep,
1000	endpoint=True )
1001
1002	lx = len(x)
1003	#print x
1004	#data=numpy.zeros([len(x),len(y)])
1005	self.model= model
1006	if enable2D:
1007	try:
1008	from sans.guiframe.model_thread import Calc2D
1009	print "in draw model 2d ",self.model
1010	self.calc_thread = Calc2D(parent =self.parent,x=x,
1011	y=y,model= self.model,
1012	qmin=qmin,
1013	qmax=qmax,
1014	qstep=qstep,
1015	completefn=self.complete,
1016	updatefn=None)
1017	self.calc_thread.queue()
1018	self.calc_thread.ready(2.5)
1019	except:
1020	raise
1021
1022	def show_panel2D(self, id=None ):
1023	self.parent.show_panel(self.model2D_id)
1024
1025
1026	if __name__ == "__main__":
1027	i = Plugin()
1028
1029
1030
1031

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source: sasview/sansview/perspectives/fitting/fitting.py @ c98b1d5

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