fitting.py @ 18eba35

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 18eba35 was 2a8fac1, checked in by Gervaise Alina <gervyh@…>, 15 years ago
refactor add et and remove error
Property mode set to `100644`
File size: 40.3 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.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL,ERR_DATA
10
11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
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.err_dy={}
58
59	def _on_data_error(self, event):
60	self.err_dy= event.err_dy
61
62	def populate_menu(self, id, owner):
63	"""
64	Create a menu for the Fitting plug-in
65	@param id: id to create a menu
66	@param owner: owner of menu
67	@ return : list of information to populate the main menu
68	"""
69	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
70	#Menu for fitting
71	self.menu1 = wx.Menu()
72	#id1 = wx.NewId()
73	#self.menu1.Append(id1, '&fit panel')
74	#wx.EVT_MENU(owner, id1, self.on_perspective)
75	#Set park engine
76	id3 = wx.NewId()
77	self.menu1.AppendCheckItem(id3, "park")
78	wx.EVT_MENU(owner, id3, self._onset_engine)
79
80	#menu for model
81	menu2 = wx.Menu()
82
83	self.menu_mng.populate_menu(menu2, owner)
84	id2 = wx.NewId()
85	owner.Bind(models.EVT_MODEL,self._on_model_menu)
86	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
87	self.fit_panel.set_owner(owner)
88	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
89	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
90	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
91	#create menubar items
92	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
93
94
95	def help(self, evt):
96	"""
97	Show a general help dialog.
98	TODO: replace the text with a nice image
99	"""
100	#from helpDialog import HelpWindow
101	#dialog = HelpWindow(None, -1, 'HelpWindow')
102	#if dialog.ShowModal() == wx.ID_OK:
103	# pass
104	#dialog.Destroy()
105	from helpPanel import HelpWindow
106	frame = HelpWindow(None, -1, 'HelpWindow')
107	frame.Show(True)
108
109
110
111
112	def get_context_menu(self, graph=None):
113	"""
114	Get the context menu items available for P(r)
115	@param graph: the Graph object to which we attach the context menu
116	@return: a list of menu items with call-back function
117	"""
118	self.graph=graph
119	for item in graph.plottables:
120	if item.__class__.__name__ is "Data2D":
121	return [["Select data for Fitting",\
122	"Dialog with fitting parameters ", self._onSelect]]
123	else:
124	#if item.name==graph.selected_plottable and\
125	# item.__class__.__name__ is "Data1D":
126	if item.name==graph.selected_plottable :
127	return [["Select data for Fitting", \
128	"Dialog with fitting parameters ", self._onSelect]]
129	return []
130
131
132	def get_panels(self, parent):
133	"""
134	Create and return a list of panel objects
135	"""
136	self.parent = parent
137	# Creation of the fit panel
138	self.fit_panel = FitPanel(self.parent, -1)
139	#Set the manager forthe main panel
140	self.fit_panel.set_manager(self)
141	# List of windows used for the perspective
142	self.perspective = []
143	self.perspective.append(self.fit_panel.window_name)
144	# take care of saving data, model and page associated with each other
145	self.page_finder = {}
146	#index number to create random model name
147	self.index_model = 0
148	self.index_theory= 0
149	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
150	self.parent.Bind( ERR_DATA, self._on_data_error)
151
152	#create the fitting panel
153	#return [self.fit_panel]
154
155	self.mypanels.append(self.fit_panel)
156	return self.mypanels
157
158
159	def _on_model2D_show(self, event ):
160	print "model2D get the id ", event.id
161
162
163	def _on_slicer_event(self, event):
164	print "fitting:slicer event ", event.panel
165	if event.panel!=None:
166	new_panel = event.panel
167	# Set group ID if available
168	event_id = self.parent.popup_panel(new_panel)
169	self.menu1.Append(event_id, new_panel.window_caption,
170	"Show %s plot panel" % new_panel.window_caption)
171	# Set UID to allow us to reference the panel later
172	new_panel.uid = event_id
173	new_panel
174	self.mypanels.append(new_panel)
175	return
176	def _on_show_panel(self, event):
177	print "_on_show_panel: fitting"
178
179	def get_perspective(self):
180	"""
181	Get the list of panel names for this perspective
182	"""
183	return self.perspective
184
185
186	def on_perspective(self, event):
187	"""
188	Call back function for the perspective menu item.
189	We notify the parent window that the perspective
190	has changed.
191	"""
192	self.parent.set_perspective(self.perspective)
193
194
195	def post_init(self):
196	"""
197	Post initialization call back to close the loose ends
198	[Somehow openGL needs this call]
199	"""
200	self.parent.set_perspective(self.perspective)
201
202
203	def _onSelect(self,event):
204	"""
205	when Select data to fit a new page is created .Its reference is
206	added to self.page_finder
207	"""
208	self.panel = event.GetEventObject()
209	for item in self.panel.graph.plottables:
210	if item.name == self.panel.graph.selected_plottable:
211	if len(self.err_dy)>0:
212	if item.name in self.err_dy.iterkeys():
213	dy= self.err_dy[item.name]
214	data= Data1D(x=item.x, y=item.y, dy=dy)
215	data.name=item.name
216	else:
217	if item.dy==None:
218	dy= numpy.zeros(len(item.y))
219	dy[dy==0]=1
220	print "dy", dy
221	data= Data1D(x=item.x, y=item.y, dy=dy)
222	data.name=item.name
223	else:
224	data= Data1D(x=item.x, y=item.y, dy=item.dy)
225	data.name=item.name
226	if item.name == self.panel.graph.selected_plottable or\
227	item.__class__.__name__ is "Data2D":
228	#find a name for the page created for notebook
229	print "fitting", self.panel
230	try:
231
232	#page = self.fit_panel.add_fit_page(item)
233	page = self.fit_panel.add_fit_page(data)
234	#page, model_name = self.fit_panel.add_fit_page(item)
235	# add data associated to the page created
236
237	if page !=None:
238	#create a fitproblem storing all link to data,model,page creation
239	self.page_finder[page]= FitProblem()
240	#self.page_finder[page].save_model_name(model_name)
241	self.page_finder[page].add_plotted_data(item)
242	self.page_finder[page].add_fit_data(data)
243
244
245	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
246	else:
247	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
248	except:
249	raise
250	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
251	#%sys.exc_value))
252
253
254	def schedule_for_fit(self,value=0,fitproblem =None):
255	"""
256
257	"""
258	if fitproblem !=None:
259	fitproblem.schedule_tofit(value)
260	else:
261	current_pg=self.fit_panel.get_current_page()
262	for page, val in self.page_finder.iteritems():
263	if page ==current_pg :
264	val.schedule_tofit(value)
265	break
266
267
268	def get_page_finder(self):
269	""" @return self.page_finder used also by simfitpage.py"""
270	return self.page_finder
271
272
273	def set_page_finder(self,modelname,names,values):
274	"""
275	Used by simfitpage.py to reset a parameter given the string constrainst.
276	@param modelname: the name ot the model for with the parameter has to reset
277	@param value: can be a string in this case.
278	@param names: the paramter name
279	@note: expecting park used for fit.
280	"""
281	sim_page=self.fit_panel.GetPage(1)
282	for page, value in self.page_finder.iteritems():
283	if page != sim_page:
284	list=value.get_model()
285	model=list[0]
286	print "fitting",model.name,modelname, values
287	if model.name== modelname:
288	value.set_model_param(names,values)
289	break
290
291
292
293	def split_string(self,item):
294	"""
295	receive a word containing dot and split it. used to split parameterset
296	name into model name and parameter name example:
297	paramaterset (item) = M1.A
298	@return model_name =M1 , parameter name =A
299	"""
300	if string.find(item,".")!=-1:
301	param_names= re.split("\.",item)
302	model_name=param_names[0]
303	param_name=param_names[1]
304	return model_name,param_name
305
306
307	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
308	ymin=None, ymax=None, xmin=None, xmax=None):
309	"""
310	Display fit result on one page of the notebook.
311	@param result: result of fit
312	@param pars: list of names of parameters fitted
313	@param current_pg: the page where information will be displayed
314	@param qmin: the minimum value of x to replot the model
315	@param qmax: the maximum value of x to replot model
316
317	"""
318
319	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
320	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
321	complete " , type="stop"))
322	try:
323	for page, value in self.page_finder.iteritems():
324	if page==cpage :
325	#fitdata = value.get_data()
326	list = value.get_model()
327	model= list[0]
328	break
329	i = 0
330	print "single-->result",pars,cpage,str(result),result.parameters,result.fitness,result.stderr
331	#print "fitting: single fit pars ", pars
332	for name in pars:
333	if result.pvec.__class__==numpy.float64:
334	model.setParam(name,result.pvec)
335	else:
336	model.setParam(name,result.pvec[i])
337	# print "fitting: single fit", name, result.pvec[i]
338	i += 1
339	print "fitting result : chisqr",result.fitness
340	print "fitting result : pvec",result.pvec
341	print "fitting result : stderr",result.stderr
342	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
343
344	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
345	#title="Fitted model 2D "
346	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
347	ymin=ymin, ymax=ymax,
348	xmin=xmin, xmax=xmax,title=None)
349	except:
350	#raise
351	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
352	return
353
354	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
355	xmin=None, xmax=None, ymin=None, ymax=None):
356	"""
357	Parameter estimation completed,
358	display the results to the user
359	@param alpha: estimated best alpha
360	@param elapsed: computation time
361	"""
362	if cpage!=None:
363	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
364	qmin=qmin,qmax=qmax,
365	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
366	return
367	else:
368	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
369	complete ", type="stop"))
370	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
371
372	try:
373	for page, value in self.page_finder.iteritems():
374	if value.get_scheduled()==1:
375	#fitdata = value.get_data()
376	list = value.get_model()
377	model= list[0]
378
379	small_out = []
380	small_cov = []
381	i = 0
382	#Separate result in to data corresponding to each page
383	for p in result.parameters:
384	model_name,param_name = self.split_string(p.name)
385	if model.name == model_name:
386	small_out.append(p.value )
387	if p.stderr==None:
388	p.stderr=numpy.nan
389	small_cov.append(p.stderr)
390	model.setParam(param_name,p.value)
391	# Display result on each page
392	#print "mmmm",p.value,p.stderr
393	page.onsetValues(result.fitness, small_out,small_cov)
394	#print "out,err",small_out,small_cov
395	#Replot model
396	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
397	xmin=xmin, xmax=xmax,
398	ymin=ymin, ymax=ymax)
399	except:
400	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
401	return
402
403	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
404	"""
405	perform fit for the current page and return chisqr,out and cov
406	@param engineName: type of fit to be performed
407	@param id: unique id corresponding to a fit problem(model, set of data)
408	@param model: model to fit
409
410	"""
411	#print "in single fitting"
412	#set an engine to perform fit
413	from sans.fit.Fitting import Fit
414	self.fitter= Fit(self._fit_engine)
415	#Setting an id to store model and data in fit engine
416	self.fit_id= 0
417	if id!=None:
418	self.fit_id= id
419
420	page_fitted=None
421	fit_problem=None
422	#Get information (model , data) related to the page on
423	#with the fit will be perform
424	current_pg=self.fit_panel.get_current_page()
425	simul_pg=self.fit_panel.GetPage(1 )
426	pars=[]
427	#for page, value in self.page_finder.iteritems():
428	if current_pg!= simul_pg:
429	# if value.get_scheduled() ==1 :
430	value = self.page_finder[current_pg]
431	metadata = value.get_fit_data()
432	list = value.get_model()
433	model = list[0]
434	smearer= value.get_smearer()
435	print "single fit", model, smearer
436	#Create list of parameters for fitting used
437
438	templist=[]
439	try:
440	#templist=current_pg.get_param_list()
441	templist=current_pg.get_param_list()
442	for element in templist:
443	pars.append(str(element[0].GetLabelText()))
444	pars.sort()
445	print "single fit start pars:", pars
446	#Do the single fit
447	self.fitter.set_model(Model(model), self.fit_id, pars)
448	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
449
450	self.fitter.set_data(data=metadata,Uid=self.fit_id,
451	smearer=smearer,qmin= qmin,qmax=qmax,
452	ymin=ymin,ymax=ymax)
453	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
454	page_fitted=current_pg
455	#self.fit_id+=1
456	#self.schedule_for_fit( 0,value)
457	except:
458	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
459	return
460	# make sure to keep an alphabetic order
461	#of parameter names in the list
462	try:
463	# If a thread is already started, stop it
464	if self.calc_thread != None and self.calc_thread.isrunning():
465	self.calc_thread.stop()
466
467	self.calc_thread =FitThread(parent =self.parent,
468	fn= self.fitter,
469	pars= pars,
470	cpage= page_fitted,
471	qmin=qmin,
472	qmax=qmax,
473
474	completefn=self._single_fit_completed,
475	updatefn=None)
476	self.calc_thread.queue()
477	self.calc_thread.ready(2.5)
478	#while not self.done:
479	#print "when here"
480	# time.sleep(1)
481
482
483	except:
484	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
485	return
486
487	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
488	"""
489	perform fit for all the pages selected on simpage and return chisqr,out and cov
490	@param engineName: type of fit to be performed
491	@param id: unique id corresponding to a fit problem(model, set of data)
492	in park_integration
493	@param model: model to fit
494
495	"""
496	#set an engine to perform fit
497	from sans.fit.Fitting import Fit
498	self.fitter= Fit(self._fit_engine)
499	self.fit_id= 0
500	#Setting an id to store model and data
501	if id!=None:
502	self.fit_id= id
503
504
505	for page, value in self.page_finder.iteritems():
506	try:
507	if value.get_scheduled()==1:
508	metadata = value.get_fit_data()
509	list = value.get_model()
510	model= list[0]
511	#Create dictionary of parameters for fitting used
512	cpage= page
513	print ""
514	pars = []
515	templist = []
516	templist = page.get_param_list()
517	for element in templist:
518	try:
519	name = str(element[0].GetLabelText())
520	pars.append(name)
521	except:
522	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
523	return
524	# need to check this print "new model "
525
526	new_model=Model(model)
527	param=value.get_model_param()
528
529	if len(param)>0:
530	for item in param:
531	param_value = item[1]
532	param_name = item[0]
533	#print "fitting ", param,param_name, param_value
534
535	#new_model.set( model.getParam(param_name[0])= param_value)
536	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
537	#new_model.set( exec "%s"%(param_nam) = param_value)
538	new_model.parameterset[ param_name].set( param_value )
539
540	self.fitter.set_model(new_model, self.fit_id, pars)
541	print "sim-->model",metadata,model,self.fit_id, pars
542	#self.fitter.set_model(Model(model), self.fit_id, pars)
543	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
544	print "sim---->value of problem",value.get_scheduled()
545	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
546	self.fit_id += 1
547	value.clear_model_param()
548	#self.schedule_for_fit( 0,value)
549	except:
550	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
551	return
552	#Do the simultaneous fit
553	try:
554	# If a thread is already started, stop it
555	if self.calc_thread != None and self.calc_thread.isrunning():
556	self.calc_thread.stop()
557	if self.fit_id==1:
558	self.calc_thread =FitThread(parent =self.parent,
559	fn= self.fitter,
560	qmin=qmin,
561	qmax=qmax,
562	ymin= ymin,
563	ymax= ymax,
564	cpage=cpage,
565	pars= pars,
566	completefn= self._simul_fit_completed,
567	updatefn=None)
568
569	else:
570	self.calc_thread =FitThread(parent =self.parent,
571	fn= self.fitter,
572	qmin=qmin,
573	qmax=qmax,
574	ymin= ymin,
575	ymax= ymax,
576	completefn= self._simul_fit_completed,
577	updatefn=None)
578	self.calc_thread.queue()
579	self.calc_thread.ready(2.5)
580
581	except:
582	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
583	return
584
585
586	def _onset_engine(self,event):
587	""" set engine to scipy"""
588	if self._fit_engine== 'park':
589	self._on_change_engine('scipy')
590	else:
591	self._on_change_engine('park')
592	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
593
594
595	def _on_change_engine(self, engine='park'):
596	"""
597	Allow to select the type of engine to perform fit
598	@param engine: the key work of the engine
599	"""
600	self._fit_engine = engine
601
602
603	def _on_model_panel(self, evt):
604	"""
605	react to model selection on any combo box or model menu.plot the model
606	"""
607
608	model = evt.model
609	name = evt.name
610
611	print "name fitting", name
612	sim_page=self.fit_panel.GetPage(1)
613	current_pg = self.fit_panel.get_current_page()
614	if current_pg != sim_page:
615	current_pg.set_panel(model)
616	#model.name = self.page_finder[current_pg].get_name()
617	#print "model name", model.name
618	model.name="M"+str(self.index_model)
619	try:
620	metadata=self.page_finder[current_pg].get_data()
621	M_name=model.name+"= "+name+"("+metadata.group_id+")"
622	except:
623	M_name=model.name+"= "+name
624	self.index_model += 1
625
626
627	# save model name
628
629	# save the name containing the data name with the appropriate model
630	self.page_finder[current_pg].set_model(model,M_name)
631	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
632	sim_page.add_model(self.page_finder)
633
634	def set_smearer(self,smearer):
635	current_pg=self.fit_panel.get_current_page()
636	self.page_finder[current_pg].set_smearer(smearer)
637
638	def redraw_model(self,qmin= None,qmax= None):
639	"""
640	Draw a theory according to model changes or data range.
641	@param qmin: the minimum value plotted for theory
642	@param qmax: the maximum value plotted for theory
643	"""
644	current_pg=self.fit_panel.get_current_page()
645	for page, value in self.page_finder.iteritems():
646	if page ==current_pg :
647	break
648	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
649
650	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
651	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
652	"""
653	Plot a theory given a model and data
654	@param model: the model from where the theory is derived
655	@param currpage: page in a dictionary referring to some data
656	"""
657	if self.fit_panel.GetPageCount() >1:
658	for page in self.page_finder.iterkeys():
659	if page==currpage :
660	data=self.page_finder[page].get_plotted_data()
661	list=self.page_finder[page].get_model()
662	model=list[0]
663	break
664	print "model in fitting",model
665	if data!=None and data.__class__.__name__ != 'Data2D':
666	theory = Theory1D(x=[], y=[])
667	theory.name = model.name
668	theory.group_id = data.group_id
669	"""
670	if hasattr(data, "id"):
671	import string
672	if string.find("Model",data.id )!=None:
673	#allow plotting on the same panel
674	theory.id =str(data.id )+" "+str(self.index_theory)
675	self.index_theory +=1
676	else:
677	"""
678	theory.id = "Model"
679
680	x_name, x_units = data.get_xaxis()
681	y_name, y_units = data.get_yaxis()
682	theory.xaxis(x_name, x_units)
683	theory.yaxis(y_name, y_units)
684	if qmin == None :
685	qmin = min(data.x)
686	if qmax == None :
687	qmax = max(data.x)
688	try:
689	tempx = qmin
690	tempy = model.run(qmin)
691	theory.x.append(tempx)
692	theory.y.append(tempy)
693	except :
694	wx.PostEvent(self.parent, StatusEvent(status="fitting \
695	skipping point x %g %s" %(qmin, sys.exc_value)))
696
697	for i in range(len(data.x)):
698	try:
699	if data.x[i]> qmin and data.x[i]< qmax:
700	tempx = data.x[i]
701	tempy = model.run(tempx)
702	theory.x.append(tempx)
703	theory.y.append(tempy)
704
705	except:
706	wx.PostEvent(self.parent, StatusEvent(status="fitting \
707	skipping point x %g %s" %(data.x[i], sys.exc_value)))
708	try:
709	tempx = qmax
710	tempy = model.run(qmax)
711	theory.x.append(tempx)
712	theory.y.append(tempy)
713	except:
714	wx.PostEvent(self.parent, StatusEvent(status="fitting \
715	skipping point x %g %s" %(qmin, sys.exc_value)) )
716	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
717	title=str(data.name)))
718	else:
719
720	theory=Data2D(data.data, data.err_data)
721	theory.name= model.name
722	if title !=None:
723	self.title = title
724	theory.id= self.title
725	theory.group_id= self.title+data.name
726	else:
727	self.title= "Analytical model 2D "
728	theory.id= "Model"
729	theory.group_id= "Model"+data.name
730	theory.x_bins= data.x_bins
731	theory.y_bins= data.y_bins
732	tempy=[]
733	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
734	if qmin==None:
735	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
736	if qmax==None:
737	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
738	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
739	if ymin==None:
740	ymin=data.ymin
741	if ymax==None:
742	ymax=data.ymax
743	if xmin ==None:
744	xmin=data.xmin
745	if xmax==None:
746	xmax=data.xmax
747
748	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
749	for j in range(len(data.y_bins)):
750	for i in range(len(data.x_bins)):
751	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
752	if tempqij>= qmin and tempqij<= qmax:
753	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
754	else:
755	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
756	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
757	#print "fitting : plot_helper:", theory.image
758	#print "fitting : plot_helper:",theory.image
759	theory.detector= data.detector
760	theory.source= data.source
761
762	theory.qmin= qmin
763	theory.qmax= qmax
764	theory.ymin= ymin
765	theory.ymax= ymax
766	theory.xmin= xmin
767	theory.xmax= xmax
768
769	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
770	title=self.title +str(data.name)))
771
772
773	def _on_model_menu(self, evt):
774	"""
775	Plot a theory from a model selected from the menu
776	"""
777	name = evt.model.__name__
778	if hasattr(evt.model, "name"):
779	name = evt.model.name
780	print "on model menu", name
781	model=evt.model()
782	description=model.description
783
784	# Create a model page. If a new page is created, the model
785	# will be plotted automatically. If a page already exists,
786	# the content will be updated and the plot refreshed
787	self.fit_panel.add_model_page(model,description,name,topmenu=True)
788
789	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
790	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
791	"""
792	draw model with default data value
793	"""
794	if data !=None:
795	self.redraw_model(qmin,qmax)
796	return
797	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
798	self._draw_model2D(model=model,
799	description=model.description,
800	enable2D= enable2D,
801	qmin=qmin,
802	qmax=qmax,
803	qstep=qstep)
804
805
806	def _draw_model1D(self,model,name,description=None, enable1D=True,
807	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
808
809	if enable1D:
810	x= numpy.linspace(start= qmin,
811	stop= qmax,
812	num= qstep,
813	endpoint=True
814	)
815	xlen= len(x)
816	y = numpy.zeros(xlen)
817	if not enable1D:
818	for i in range(xlen):
819	y[i] = model.run(x[i])
820
821	try:
822	new_plot = Theory1D(x, y)
823
824	new_plot.name = name
825	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
826	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
827	new_plot.id = "Model"
828	new_plot.group_id ="Model"
829	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
830	except:
831	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
832	#raise
833	else:
834	for i in range(xlen):
835	y[i] = model.run(x[i])
836	try:
837	new_plot = Theory1D(x, y)
838	print "draw model 1D", name
839	new_plot.name = name
840	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
841	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
842	new_plot.id ="Model"
843	new_plot.group_id ="Model"
844
845	# Pass the reset flag to let the plotting event handler
846	# know that we are replacing the whole plot
847	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
848	title="Analytical model 1D ", reset=True ))
849
850	except:
851	#raise
852	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
853	def update(self, output,time):
854	pass
855
856	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
857
858	wx.PostEvent(self.parent, StatusEvent(status="Calc \
859	complete !" , type="stop"))
860	#print "complete",output, model,qmin, qmax
861	data = output
862	temp= numpy.zeros(numpy.shape(data))
863	temp[temp==0]=1
864	theory= Data2D(image=data, err_image=temp)
865
866	from DataLoader.data_info import Detector, Source
867
868	detector = Detector()
869	theory.detector=[]
870	theory.detector.append(detector)
871
872	theory.detector[0].distance=1e+32#13705.0
873	theory.source= Source()
874	theory.source.wavelength=2*math.pi/1e+32#8.4
875	theory.x_bins =[]
876	theory.y_bins =[]
877	#Now qmax is xmax.
878	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
879	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
880	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
881	theory.detector[0].beam_center.x= qmax
882	theory.detector[0].beam_center.y= qmax
883	#print "xmax,qmax",xmax,qmax
884	# compute x_bins and y_bins
885	# Qx and Qy vectors
886
887	distance = theory.detector[0].distance
888	pixel = qstep/2-1
889	theta = pixel / distance / qstep#100.0
890	wavelength = theory.source.wavelength
891	pixel_width_x = theory.detector[0].pixel_size.x
892	pixel_width_y = theory.detector[0].pixel_size.y
893	center_x = theory.detector[0].beam_center.x/pixel_width_x
894	center_y = theory.detector[0].beam_center.y/pixel_width_y
895
896
897	size_x, size_y= numpy.shape(theory.data)
898	#print "size_x,size_y",size_x, size_y
899	#This case, q and x are equivalent to each other.
900	for i_x in range(size_x):
901	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
902	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
903	theory.x_bins.append(qx)
904	for i_y in range(size_y):
905	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
906	qy =4.0math.pi/wavelength math.tan(theta/2.0)
907	theory.y_bins.append(qy)
908
909	#theory.err_data= numpy.
910	theory.name= model.name
911	theory.group_id ="Model"
912	theory.id ="Model"
913
914
915
916	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
917	theory.xmax= qmax#/math.sqrt(2)
918	theory.ymin= -qmax#/math.sqrt(2)
919	theory.ymax= qmax#/math.sqrt(2)
920
921	#print "model draw comptele xmax",theory.xmax,model.name
922	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
923	title="Analytical model 2D ", reset=True ))
924
925
926
927	def _draw_model2D(self,model,description=None, enable2D=False,
928	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
929
930	x= numpy.linspace(start= -1*qmax,
931	stop= qmax,
932	num= qstep,
933	endpoint=True )
934	y = numpy.linspace(start= -1*qmax,
935	stop= qmax,
936	num= qstep,
937	endpoint=True )
938
939	lx = len(x)
940	#print x
941	#data=numpy.zeros([len(x),len(y)])
942	self.model= model
943	if enable2D:
944	try:
945	from sans.guiframe.model_thread import Calc2D
946	print "in draw model 2d ",self.model
947	self.calc_thread = Calc2D(parent =self.parent,x=x,
948	y=y,model= self.model,
949	qmin=qmin,
950	qmax=qmax,
951	qstep=qstep,
952	completefn=self.complete,
953	updatefn=None)
954	self.calc_thread.queue()
955	self.calc_thread.ready(2.5)
956	except:
957	raise
958
959	def show_panel2D(self, id=None ):
960	self.parent.show_panel(self.model2D_id)
961
962
963	if __name__ == "__main__":
964	i = Plugin()
965
966
967
968

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source: sasview/sansview/perspectives/fitting/fitting.py @ 18eba35

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