fitting.py @ c62dbbe

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 c62dbbe was c62dbbe, checked in by Jae Cho <jhjcho@…>, 15 years ago
bug fixed
Property mode set to `100644`
File size: 38.9 KB

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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
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
52	# Log startup
53	logging.info("Fitting plug-in started")
54	# model 2D view
55	self.model2D_id=None
56
57	def populate_menu(self, id, owner):
58	"""
59	Create a menu for the Fitting plug-in
60	@param id: id to create a menu
61	@param owner: owner of menu
62	@ return : list of information to populate the main menu
63	"""
64	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
65	#Menu for fitting
66	self.menu1 = wx.Menu()
67	id1 = wx.NewId()
68	self.menu1.Append(id1, '&Show fit panel')
69	wx.EVT_MENU(owner, id1, self.on_perspective)
70	id3 = wx.NewId()
71	self.menu1.AppendCheckItem(id3, "park")
72
73	wx.EVT_MENU(owner, id3, self._onset_engine)
74
75	#menu for model
76	menu2 = wx.Menu()
77
78	self.menu_mng.populate_menu(menu2, owner)
79	id2 = wx.NewId()
80	owner.Bind(models.EVT_MODEL,self._on_model_menu)
81	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
82	self.fit_panel.set_owner(owner)
83	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
84	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
85	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
86	#create menubar items
87	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
88
89
90	def help(self, evt):
91	"""
92	Show a general help dialog.
93	TODO: replace the text with a nice image
94	"""
95	#from helpDialog import HelpWindow
96	#dialog = HelpWindow(None, -1, 'HelpWindow')
97	#if dialog.ShowModal() == wx.ID_OK:
98	# pass
99	#dialog.Destroy()
100	from helpPanel import HelpWindow
101	frame = HelpWindow(None, -1, 'HelpWindow')
102	frame.Show(True)
103
104
105
106
107	def get_context_menu(self, graph=None):
108	"""
109	Get the context menu items available for P(r)
110	@param graph: the Graph object to which we attach the context menu
111	@return: a list of menu items with call-back function
112	"""
113	self.graph=graph
114	for item in graph.plottables:
115	if item.__class__.__name__ is "Data2D":
116	return [["Select data for Fitting",\
117	"Dialog with fitting parameters ", self._onSelect]]
118	else:
119	if item.name==graph.selected_plottable and\
120	item.__class__.__name__ is "Data1D":
121	return [["Select data for Fitting", \
122	"Dialog with fitting parameters ", self._onSelect]]
123	return []
124
125
126	def get_panels(self, parent):
127	"""
128	Create and return a list of panel objects
129	"""
130	self.parent = parent
131	# Creation of the fit panel
132	self.fit_panel = FitPanel(self.parent, -1)
133	#Set the manager forthe main panel
134	self.fit_panel.set_manager(self)
135	# List of windows used for the perspective
136	self.perspective = []
137	self.perspective.append(self.fit_panel.window_name)
138	# take care of saving data, model and page associated with each other
139	self.page_finder = {}
140	#index number to create random model name
141	self.index_model = 0
142	self.index_theory= 0
143	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
144
145
146	#create the fitting panel
147	#return [self.fit_panel]
148
149	self.mypanels.append(self.fit_panel)
150	return self.mypanels
151
152
153	def _on_model2D_show(self, event ):
154	print "model2D get the id ", event.id
155
156
157	def _on_slicer_event(self, event):
158	print "fitting:slicer event ", event.panel
159	if event.panel!=None:
160	new_panel = event.panel
161	# Set group ID if available
162	event_id = self.parent.popup_panel(new_panel)
163	self.menu1.Append(event_id, new_panel.window_caption,
164	"Show %s plot panel" % new_panel.window_caption)
165	# Set UID to allow us to reference the panel later
166	new_panel.uid = event_id
167	new_panel
168	self.mypanels.append(new_panel)
169	return
170	def _on_show_panel(self, event):
171	print "_on_show_panel: fitting"
172
173	def get_perspective(self):
174	"""
175	Get the list of panel names for this perspective
176	"""
177	return self.perspective
178
179
180	def on_perspective(self, event):
181	"""
182	Call back function for the perspective menu item.
183	We notify the parent window that the perspective
184	has changed.
185	"""
186	self.parent.set_perspective(self.perspective)
187
188
189	def post_init(self):
190	"""
191	Post initialization call back to close the loose ends
192	[Somehow openGL needs this call]
193	"""
194	self.parent.set_perspective(self.perspective)
195
196
197	def _onSelect(self,event):
198	"""
199	when Select data to fit a new page is created .Its reference is
200	added to self.page_finder
201	"""
202	self.panel = event.GetEventObject()
203	for item in self.panel.graph.plottables:
204	if item.name == self.panel.graph.selected_plottable or\
205	item.__class__.__name__ is "Data2D":
206	#find a name for the page created for notebook
207	try:
208
209	page = self.fit_panel.add_fit_page(item)
210	#page, model_name = self.fit_panel.add_fit_page(item)
211	# add data associated to the page created
212
213	if page !=None:
214	#create a fitproblem storing all link to data,model,page creation
215	self.page_finder[page]= FitProblem()
216	#self.page_finder[page].save_model_name(model_name)
217	self.page_finder[page].add_data(item)
218	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
219	else:
220	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
221	except:
222	#raise
223	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
224	%sys.exc_value))
225	def schedule_for_fit(self,value=0,fitproblem =None):
226	"""
227
228	"""
229	if fitproblem !=None:
230	fitproblem.schedule_tofit(value)
231	else:
232	current_pg=self.fit_panel.get_current_page()
233	for page, val in self.page_finder.iteritems():
234	if page ==current_pg :
235	val.schedule_tofit(value)
236	break
237
238
239	def get_page_finder(self):
240	""" @return self.page_finder used also by simfitpage.py"""
241	return self.page_finder
242
243
244	def set_page_finder(self,modelname,names,values):
245	"""
246	Used by simfitpage.py to reset a parameter given the string constrainst.
247	@param modelname: the name ot the model for with the parameter has to reset
248	@param value: can be a string in this case.
249	@param names: the paramter name
250	@note: expecting park used for fit.
251	"""
252	sim_page=self.fit_panel.GetPage(1)
253	for page, value in self.page_finder.iteritems():
254	if page != sim_page:
255	list=value.get_model()
256	model=list[0]
257	print "fitting",model.name,modelname, values
258	if model.name== modelname:
259	value.set_model_param(names,values)
260	break
261
262
263
264	def split_string(self,item):
265	"""
266	receive a word containing dot and split it. used to split parameterset
267	name into model name and parameter name example:
268	paramaterset (item) = M1.A
269	@return model_name =M1 , parameter name =A
270	"""
271	if string.find(item,".")!=-1:
272	param_names= re.split("\.",item)
273	model_name=param_names[0]
274	param_name=param_names[1]
275	return model_name,param_name
276
277
278	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
279	ymin=None, ymax=None, xmin=None, xmax=None):
280	"""
281	Display fit result on one page of the notebook.
282	@param result: result of fit
283	@param pars: list of names of parameters fitted
284	@param current_pg: the page where information will be displayed
285	@param qmin: the minimum value of x to replot the model
286	@param qmax: the maximum value of x to replot model
287
288	"""
289
290	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
291	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
292	complete " , type="stop"))
293	try:
294	for page, value in self.page_finder.iteritems():
295	if page==cpage :
296	#fitdata = value.get_data()
297	list = value.get_model()
298	model= list[0]
299	break
300	i = 0
301	print "single-->result",pars,cpage,str(result),result.parameters,result.fitness,result.stderr
302	#print "fitting: single fit pars ", pars
303	for name in pars:
304	if result.pvec.__class__==numpy.float64:
305	model.setParam(name,result.pvec)
306	else:
307	model.setParam(name,result.pvec[i])
308	# print "fitting: single fit", name, result.pvec[i]
309	i += 1
310	print "fitting result : chisqr",result.fitness
311	print "fitting result : pvec",result.pvec
312	print "fitting result : stderr",result.stderr
313	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
314
315	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
316	#title="Fitted model 2D "
317	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
318	ymin=ymin, ymax=ymax,
319	xmin=xmin, xmax=xmax,title=None)
320	except:
321	#raise
322	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
323	return
324
325	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
326	xmin=None, xmax=None, ymin=None, ymax=None):
327	"""
328	Parameter estimation completed,
329	display the results to the user
330	@param alpha: estimated best alpha
331	@param elapsed: computation time
332	"""
333	if cpage!=None:
334	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
335	qmin=qmin,qmax=qmax,
336	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
337	return
338	else:
339	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
340	complete ", type="stop"))
341	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
342
343	try:
344	for page, value in self.page_finder.iteritems():
345	if value.get_scheduled()==1:
346	#fitdata = value.get_data()
347	list = value.get_model()
348	model= list[0]
349
350	small_out = []
351	small_cov = []
352	i = 0
353	#Separate result in to data corresponding to each page
354	for p in result.parameters:
355	model_name,param_name = self.split_string(p.name)
356	if model.name == model_name:
357	small_out.append(p.value )
358	if p.stderr==None:
359	p.stderr=numpy.nan
360	small_cov.append(p.stderr)
361	model.setParam(param_name,p.value)
362	# Display result on each page
363	#print "mmmm",p.value,p.stderr
364	page.onsetValues(result.fitness, small_out,small_cov)
365	#print "out,err",small_out,small_cov
366	#Replot model
367	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
368	xmin=xmin, xmax=xmax,
369	ymin=ymin, ymax=ymax)
370	except:
371	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
372	return
373
374	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
375	"""
376	perform fit for the current page and return chisqr,out and cov
377	@param engineName: type of fit to be performed
378	@param id: unique id corresponding to a fit problem(model, set of data)
379	@param model: model to fit
380
381	"""
382	#print "in single fitting"
383	#set an engine to perform fit
384	from sans.fit.Fitting import Fit
385	self.fitter= Fit(self._fit_engine)
386	#Setting an id to store model and data in fit engine
387	self.fit_id= 0
388	if id!=None:
389	self.fit_id= id
390
391	page_fitted=None
392	fit_problem=None
393	#Get information (model , data) related to the page on
394	#with the fit will be perform
395	current_pg=self.fit_panel.get_current_page()
396	simul_pg=self.fit_panel.GetPage(1 )
397	pars=[]
398	#for page, value in self.page_finder.iteritems():
399	if current_pg!= simul_pg:
400	# if value.get_scheduled() ==1 :
401	value = self.page_finder[current_pg]
402	metadata = value.get_data()
403	list = value.get_model()
404	model = list[0]
405	smearer= value.get_smearer()
406	print "single fit", model, smearer
407	#Create list of parameters for fitting used
408
409	templist=[]
410	try:
411	#templist=current_pg.get_param_list()
412	templist=current_pg.get_param_list()
413	for element in templist:
414	pars.append(str(element[0].GetLabelText()))
415	pars.sort()
416	print "single fit start pars:", pars
417	#Do the single fit
418	self.fitter.set_model(Model(model), self.fit_id, pars)
419	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
420
421	self.fitter.set_data(data=metadata,Uid=self.fit_id,
422	smearer=smearer,qmin= qmin,qmax=qmax,
423	ymin=ymin,ymax=ymax)
424	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
425	page_fitted=current_pg
426	#self.fit_id+=1
427	#self.schedule_for_fit( 0,value)
428	except:
429	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
430	return
431	# make sure to keep an alphabetic order
432	#of parameter names in the list
433	try:
434	# If a thread is already started, stop it
435	if self.calc_thread != None and self.calc_thread.isrunning():
436	self.calc_thread.stop()
437
438	self.calc_thread =FitThread(parent =self.parent,
439	fn= self.fitter,
440	pars= pars,
441	cpage= page_fitted,
442	qmin=qmin,
443	qmax=qmax,
444
445	completefn=self._single_fit_completed,
446	updatefn=None)
447	self.calc_thread.queue()
448	self.calc_thread.ready(2.5)
449	#while not self.done:
450	#print "when here"
451	# time.sleep(1)
452
453
454	except:
455	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
456	return
457
458	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
459	"""
460	perform fit for all the pages selected on simpage and return chisqr,out and cov
461	@param engineName: type of fit to be performed
462	@param id: unique id corresponding to a fit problem(model, set of data)
463	in park_integration
464	@param model: model to fit
465
466	"""
467	#set an engine to perform fit
468	from sans.fit.Fitting import Fit
469	self.fitter= Fit(self._fit_engine)
470	self.fit_id= 0
471	#Setting an id to store model and data
472	if id!=None:
473	self.fit_id= id
474
475
476	for page, value in self.page_finder.iteritems():
477	try:
478	if value.get_scheduled()==1:
479	metadata = value.get_data()
480	list = value.get_model()
481	model= list[0]
482	#Create dictionary of parameters for fitting used
483	cpage= page
484	print ""
485	pars = []
486	templist = []
487	templist = page.get_param_list()
488	for element in templist:
489	try:
490	name = str(element[0].GetLabelText())
491	pars.append(name)
492	except:
493	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
494	return
495	# need to check this print "new model "
496
497	new_model=Model(model)
498	param=value.get_model_param()
499
500	if len(param)>0:
501	for item in param:
502	param_value = item[1]
503	param_name = item[0]
504	#print "fitting ", param,param_name, param_value
505
506	#new_model.set( model.getParam(param_name[0])= param_value)
507	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
508	#new_model.set( exec "%s"%(param_nam) = param_value)
509	new_model.parameterset[ param_name].set( param_value )
510
511	self.fitter.set_model(new_model, self.fit_id, pars)
512	print "sim-->model",metadata,model,self.fit_id, pars
513	#self.fitter.set_model(Model(model), self.fit_id, pars)
514	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
515	print "sim---->value of problem",value.get_scheduled()
516	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
517	self.fit_id += 1
518	value.clear_model_param()
519	#self.schedule_for_fit( 0,value)
520	except:
521	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
522	return
523	#Do the simultaneous fit
524	try:
525	# If a thread is already started, stop it
526	if self.calc_thread != None and self.calc_thread.isrunning():
527	self.calc_thread.stop()
528	if self.fit_id==1:
529	self.calc_thread =FitThread(parent =self.parent,
530	fn= self.fitter,
531	qmin=qmin,
532	qmax=qmax,
533	ymin= ymin,
534	ymax= ymax,
535	cpage=cpage,
536	pars= pars,
537	completefn= self._simul_fit_completed,
538	updatefn=None)
539
540	else:
541	self.calc_thread =FitThread(parent =self.parent,
542	fn= self.fitter,
543	qmin=qmin,
544	qmax=qmax,
545	ymin= ymin,
546	ymax= ymax,
547	completefn= self._simul_fit_completed,
548	updatefn=None)
549	self.calc_thread.queue()
550	self.calc_thread.ready(2.5)
551
552	except:
553	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
554	return
555
556
557	def _onset_engine(self,event):
558	""" set engine to scipy"""
559	if self._fit_engine== 'park':
560	self._on_change_engine('scipy')
561	else:
562	self._on_change_engine('park')
563	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
564
565
566	def _on_change_engine(self, engine='park'):
567	"""
568	Allow to select the type of engine to perform fit
569	@param engine: the key work of the engine
570	"""
571	self._fit_engine = engine
572
573
574	def _on_model_panel(self, evt):
575	"""
576	react to model selection on any combo box or model menu.plot the model
577	"""
578
579	model = evt.model
580	name = evt.name
581
582	print "name fitting", name
583	sim_page=self.fit_panel.GetPage(1)
584	current_pg = self.fit_panel.get_current_page()
585	if current_pg != sim_page:
586	current_pg.set_panel(model)
587	#model.name = self.page_finder[current_pg].get_name()
588	#print "model name", model.name
589	model.name="M"+str(self.index_model)
590	try:
591	metadata=self.page_finder[current_pg].get_data()
592	M_name=model.name+"= "+name+"("+metadata.group_id+")"
593	except:
594	M_name=model.name+"= "+name
595	self.index_model += 1
596
597
598	# save model name
599
600	# save the name containing the data name with the appropriate model
601	self.page_finder[current_pg].set_model(model,M_name)
602	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
603	sim_page.add_model(self.page_finder)
604
605	def set_smearer(self,smearer):
606	current_pg=self.fit_panel.get_current_page()
607	self.page_finder[current_pg].set_smearer(smearer)
608
609	def redraw_model(self,qmin= None,qmax= None):
610	"""
611	Draw a theory according to model changes or data range.
612	@param qmin: the minimum value plotted for theory
613	@param qmax: the maximum value plotted for theory
614	"""
615	current_pg=self.fit_panel.get_current_page()
616	for page, value in self.page_finder.iteritems():
617	if page ==current_pg :
618	break
619	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
620
621	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
622	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
623	"""
624	Plot a theory given a model and data
625	@param model: the model from where the theory is derived
626	@param currpage: page in a dictionary referring to some data
627	"""
628	if self.fit_panel.GetPageCount() >1:
629	for page in self.page_finder.iterkeys():
630	if page==currpage :
631	data=self.page_finder[page].get_data()
632	list=self.page_finder[page].get_model()
633	model=list[0]
634	break
635	print "model in fitting",model
636	if data!=None and data.__class__.__name__ != 'Data2D':
637	theory = Theory1D(x=[], y=[])
638	theory.name = model.name
639	theory.group_id = data.group_id
640	"""
641	if hasattr(data, "id"):
642	import string
643	if string.find("Model",data.id )!=None:
644	#allow plotting on the same panel
645	theory.id =str(data.id )+" "+str(self.index_theory)
646	self.index_theory +=1
647	else:
648	"""
649	theory.id = "Model"
650
651	x_name, x_units = data.get_xaxis()
652	y_name, y_units = data.get_yaxis()
653	theory.xaxis(x_name, x_units)
654	theory.yaxis(y_name, y_units)
655	if qmin == None :
656	qmin = min(data.x)
657	if qmax == None :
658	qmax = max(data.x)
659	try:
660	tempx = qmin
661	tempy = model.run(qmin)
662	theory.x.append(tempx)
663	theory.y.append(tempy)
664	except :
665	wx.PostEvent(self.parent, StatusEvent(status="fitting \
666	skipping point x %g %s" %(qmin, sys.exc_value)))
667
668	for i in range(len(data.x)):
669	try:
670	if data.x[i]> qmin and data.x[i]< qmax:
671	tempx = data.x[i]
672	tempy = model.run(tempx)
673	theory.x.append(tempx)
674	theory.y.append(tempy)
675
676	except:
677	wx.PostEvent(self.parent, StatusEvent(status="fitting \
678	skipping point x %g %s" %(data.x[i], sys.exc_value)))
679	try:
680	tempx = qmax
681	tempy = model.run(qmax)
682	theory.x.append(tempx)
683	theory.y.append(tempy)
684	except:
685	wx.PostEvent(self.parent, StatusEvent(status="fitting \
686	skipping point x %g %s" %(qmin, sys.exc_value)) )
687	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
688	title=str(data.name)))
689	else:
690
691	theory=Data2D(data.data, data.err_data)
692	theory.name= model.name
693	if title !=None:
694	self.title = title
695	theory.id= self.title
696	theory.group_id= self.title+data.name
697	else:
698	self.title= "Analytical model 2D "
699	theory.id= "Model"
700	theory.group_id= "Model"+data.name
701	theory.x_bins= data.x_bins
702	theory.y_bins= data.y_bins
703	tempy=[]
704	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
705	if qmin==None:
706	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
707	if qmax==None:
708	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
709	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
710	if ymin==None:
711	ymin=data.ymin
712	if ymax==None:
713	ymax=data.ymax
714	if xmin ==None:
715	xmin=data.xmin
716	if xmax==None:
717	xmax=data.xmax
718
719	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
720	for j in range(len(data.y_bins)):
721	for i in range(len(data.x_bins)):
722	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
723	if tempqij>= qmin and tempqij<= qmax:
724	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
725	else:
726	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
727	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
728	#print "fitting : plot_helper:", theory.image
729	#print "fitting : plot_helper:",theory.image
730	theory.detector= data.detector
731	theory.source= data.source
732
733	theory.qmin= qmin
734	theory.qmax= qmax
735	theory.ymin= ymin
736	theory.ymax= ymax
737	theory.xmin= xmin
738	theory.xmax= xmax
739
740	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
741	title=self.title +str(data.name)))
742
743
744	def _on_model_menu(self, evt):
745	"""
746	Plot a theory from a model selected from the menu
747	"""
748	name = evt.model.__name__
749	if hasattr(evt.model, "name"):
750	name = evt.model.name
751	print "on model menu", name
752	model=evt.model()
753	description=model.description
754
755	# Create a model page. If a new page is created, the model
756	# will be plotted automatically. If a page already exists,
757	# the content will be updated and the plot refreshed
758	self.fit_panel.add_model_page(model,description,name,topmenu=True)
759
760	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
761	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
762	"""
763	draw model with default data value
764	"""
765	if data !=None:
766	self.redraw_model(qmin,qmax)
767	return
768	self._draw_model2D(model=model,
769	description=model.description,
770	enable2D= enable2D,
771	qmin=qmin,
772	qmax=qmax,
773	qstep=qstep)
774	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
775
776	def _draw_model1D(self,model,name,description=None, enable1D=True,
777	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
778
779	if enable1D:
780	x= numpy.linspace(start= qmin,
781	stop= qmax,
782	num= qstep,
783	endpoint=True
784	)
785	xlen= len(x)
786	y = numpy.zeros(xlen)
787	if not enable1D:
788	for i in range(xlen):
789	y[i] = model.run(x[i])
790
791	try:
792	new_plot = Theory1D(x, y)
793
794	new_plot.name = name
795	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
796	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
797	new_plot.id = "Model"
798	new_plot.group_id ="Model"
799	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
800	except:
801	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
802	#raise
803	else:
804	for i in range(xlen):
805	y[i] = model.run(x[i])
806	#print x, y
807	try:
808	new_plot = Theory1D(x, y)
809	print "draw model 1D", name
810	new_plot.name = name
811	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
812	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
813	new_plot.id ="Model"
814	new_plot.group_id ="Model"
815
816	# Pass the reset flag to let the plotting event handler
817	# know that we are replacing the whole plot
818	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
819	title="Analytical model 1D ", reset=True ))
820
821	except:
822	#raise
823	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
824	def update(self, output,time):
825	pass
826
827	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
828
829	wx.PostEvent(self.parent, StatusEvent(status="Calc \
830	complete in %g sec" % elapsed, type="stop"))
831	#print "complete",output, model,qmin, qmax
832	data = output
833	temp= numpy.zeros(numpy.shape(data))
834	temp[temp==0]=1
835	theory= Data2D(image=data, err_image=temp)
836
837	from DataLoader.data_info import Detector, Source
838
839	detector = Detector()
840	theory.detector=[]
841	theory.detector.append(detector)
842
843	theory.detector[0].distance=1e+32#13705.0
844	theory.source= Source()
845	theory.source.wavelength=2*math.pi/1e+32#8.4
846	theory.x_bins =[]
847	theory.y_bins =[]
848	#Now qmax is xmax.
849	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
850	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
851	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
852	theory.detector[0].beam_center.x= qmax
853	theory.detector[0].beam_center.y= qmax
854	#print "xmax,qmax",xmax,qmax
855	# compute x_bins and y_bins
856	# Qx and Qy vectors
857
858	distance = theory.detector[0].distance
859	pixel = qstep/2-1
860	theta = pixel / distance / qstep#100.0
861	wavelength = theory.source.wavelength
862	pixel_width_x = theory.detector[0].pixel_size.x
863	pixel_width_y = theory.detector[0].pixel_size.y
864	center_x = theory.detector[0].beam_center.x/pixel_width_x
865	center_y = theory.detector[0].beam_center.y/pixel_width_y
866
867
868	size_x, size_y= numpy.shape(theory.data)
869	#print "size_x,size_y",size_x, size_y
870	#This case, q and x are equivalent to each other.
871	for i_x in range(size_x):
872	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
873	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
874	theory.x_bins.append(qx)
875	for i_y in range(size_y):
876	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
877	qy =4.0math.pi/wavelength math.tan(theta/2.0)
878	theory.y_bins.append(qy)
879
880	#theory.err_data= numpy.
881	theory.name= model.name
882	theory.group_id ="Model"
883	theory.id ="Model"
884
885
886
887	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
888	theory.xmax= qmax#/math.sqrt(2)
889	theory.ymin= -qmax#/math.sqrt(2)
890	theory.ymax= qmax#/math.sqrt(2)
891
892	print "model draw comptele xmax",theory.xmax,model.name
893	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
894	title="Analytical model 2D ", reset=True ))
895
896
897
898	def _draw_model2D(self,model,description=None, enable2D=False,
899	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
900
901	x= numpy.linspace(start= -1*qmax,
902	stop= qmax,
903	num= qstep,
904	endpoint=True )
905	y = numpy.linspace(start= -1*qmax,
906	stop= qmax,
907	num= qstep,
908	endpoint=True )
909
910	lx = len(x)
911	#print x
912	data=numpy.zeros([len(x),len(y)])
913	self.model= model
914	if enable2D:
915	from sans.guiframe.model_thread import Calc2D
916	self.calc_thread = Calc2D(parent =self.parent,x=x,
917	y=y,model= self.model,
918	qmin=qmin,
919	qmax=qmax,
920	qstep=qstep,
921	completefn=self.complete,
922	updatefn=None)
923	self.calc_thread.queue()
924	self.calc_thread.ready(2.5)
925
926	def show_panel2D(self, id=None ):
927	self.parent.show_panel(self.model2D_id)
928
929
930	if __name__ == "__main__":
931	i = Plugin()
932
933
934
935

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ c62dbbe

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