fitting.py @ f69bc394

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 f69bc394 was f69bc394, checked in by Jae Cho <jhjcho@…>, 15 years ago
fixed bug in model 2d plot
Property mode set to `100644`
File size: 37.1 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
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	# Log startup
52	logging.info("Fitting plug-in started")
53	# model 2D view
54	self.model2D_id=None
55
56	def populate_menu(self, id, owner):
57	"""
58	Create a menu for the Fitting plug-in
59	@param id: id to create a menu
60	@param owner: owner of menu
61	@ return : list of information to populate the main menu
62	"""
63	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
64	#Menu for fitting
65	self.menu1 = wx.Menu()
66	id1 = wx.NewId()
67	self.menu1.Append(id1, '&Show fit panel')
68	wx.EVT_MENU(owner, id1, self.on_perspective)
69	id3 = wx.NewId()
70	self.menu1.AppendCheckItem(id3, "park")
71
72	wx.EVT_MENU(owner, id3, self._onset_engine)
73
74	#menu for model
75	menu2 = wx.Menu()
76
77	self.menu_mng.populate_menu(menu2, owner)
78	id2 = wx.NewId()
79	owner.Bind(models.EVT_MODEL,self._on_model_menu)
80	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
81	self.fit_panel.set_owner(owner)
82	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
83	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
84	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
85	#create menubar items
86	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
87
88
89	def help(self, evt):
90	"""
91	Show a general help dialog.
92	TODO: replace the text with a nice image
93	"""
94	#from helpDialog import HelpWindow
95	#dialog = HelpWindow(None, -1, 'HelpWindow')
96	#if dialog.ShowModal() == wx.ID_OK:
97	# pass
98	#dialog.Destroy()
99	from helpPanel import HelpWindow
100	frame = HelpWindow(None, -1, 'HelpWindow')
101	frame.Show(True)
102
103
104
105
106	def get_context_menu(self, graph=None):
107	"""
108	Get the context menu items available for P(r)
109	@param graph: the Graph object to which we attach the context menu
110	@return: a list of menu items with call-back function
111	"""
112	self.graph=graph
113	for item in graph.plottables:
114	if item.__class__.__name__ is "Data2D":
115	return [["Select data for Fitting",\
116	"Dialog with fitting parameters ", self._onSelect]]
117	else:
118	if item.name==graph.selected_plottable and\
119	item.__class__.__name__ is "Data1D":
120	return [["Select data for Fitting", \
121	"Dialog with fitting parameters ", self._onSelect]]
122	return []
123
124
125	def get_panels(self, parent):
126	"""
127	Create and return a list of panel objects
128	"""
129	self.parent = parent
130	# Creation of the fit panel
131	self.fit_panel = FitPanel(self.parent, -1)
132	#Set the manager forthe main panel
133	self.fit_panel.set_manager(self)
134	# List of windows used for the perspective
135	self.perspective = []
136	self.perspective.append(self.fit_panel.window_name)
137	# take care of saving data, model and page associated with each other
138	self.page_finder = {}
139	#index number to create random model name
140	self.index_model = 0
141	self.index_theory= 0
142	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
143
144
145	#create the fitting panel
146	#return [self.fit_panel]
147
148	self.mypanels.append(self.fit_panel)
149	return self.mypanels
150
151
152	def _on_model2D_show(self, event ):
153	print "model2D get the id ", event.id
154
155
156	def _on_slicer_event(self, event):
157	print "fitting:slicer event ", event.panel
158	if event.panel!=None:
159	new_panel = event.panel
160	# Set group ID if available
161	event_id = self.parent.popup_panel(new_panel)
162	self.menu1.Append(event_id, new_panel.window_caption,
163	"Show %s plot panel" % new_panel.window_caption)
164	# Set UID to allow us to reference the panel later
165	new_panel.uid = event_id
166	new_panel
167	self.mypanels.append(new_panel)
168	return
169	def _on_show_panel(self, event):
170	print "_on_show_panel: fitting"
171
172	def get_perspective(self):
173	"""
174	Get the list of panel names for this perspective
175	"""
176	return self.perspective
177
178
179	def on_perspective(self, event):
180	"""
181	Call back function for the perspective menu item.
182	We notify the parent window that the perspective
183	has changed.
184	"""
185	self.parent.set_perspective(self.perspective)
186
187
188	def post_init(self):
189	"""
190	Post initialization call back to close the loose ends
191	[Somehow openGL needs this call]
192	"""
193	self.parent.set_perspective(self.perspective)
194
195
196	def _onSelect(self,event):
197	"""
198	when Select data to fit a new page is created .Its reference is
199	added to self.page_finder
200	"""
201	self.panel = event.GetEventObject()
202	for item in self.panel.graph.plottables:
203	if item.name == self.panel.graph.selected_plottable or\
204	item.__class__.__name__ is "Data2D":
205	#find a name for the page created for notebook
206	try:
207
208	page = self.fit_panel.add_fit_page(item)
209	#page, model_name = self.fit_panel.add_fit_page(item)
210	# add data associated to the page created
211
212	if page !=None:
213	#create a fitproblem storing all link to data,model,page creation
214	self.page_finder[page]= FitProblem()
215	#self.page_finder[page].save_model_name(model_name)
216	self.page_finder[page].add_data(item)
217	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
218	else:
219	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
220	except:
221	#raise
222	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
223	%sys.exc_value))
224	def schedule_for_fit(self,value=0,fitproblem =None):
225	"""
226
227	"""
228	if fitproblem !=None:
229	fitproblem.schedule_tofit(value)
230	else:
231	current_pg=self.fit_panel.get_current_page()
232	for page, val in self.page_finder.iteritems():
233	if page ==current_pg :
234	val.schedule_tofit(value)
235	break
236
237
238	def get_page_finder(self):
239	""" @return self.page_finder used also by simfitpage.py"""
240	return self.page_finder
241
242
243	def set_page_finder(self,modelname,names,values):
244	"""
245	Used by simfitpage.py to reset a parameter given the string constrainst.
246	@param modelname: the name ot the model for with the parameter has to reset
247	@param value: can be a string in this case.
248	@param names: the paramter name
249	@note: expecting park used for fit.
250	"""
251	sim_page=self.fit_panel.GetPage(1)
252	for page, value in self.page_finder.iteritems():
253	if page != sim_page:
254	list=value.get_model()
255	model=list[0]
256	#print "fitting",model.name,modelname
257	if model.name== modelname:
258	value.set_model_param(names,values)
259	break
260
261
262
263	def split_string(self,item):
264	"""
265	receive a word containing dot and split it. used to split parameterset
266	name into model name and parameter name example:
267	paramaterset (item) = M1.A
268	@return model_name =M1 , parameter name =A
269	"""
270	if string.find(item,".")!=-1:
271	param_names= re.split("\.",item)
272	model_name=param_names[0]
273	param_name=param_names[1]
274	return model_name,param_name
275
276
277	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
278	ymin=None, ymax=None, xmin=None, xmax=None):
279	"""
280	Display fit result on one page of the notebook.
281	@param result: result of fit
282	@param pars: list of names of parameters fitted
283	@param current_pg: the page where information will be displayed
284	@param qmin: the minimum value of x to replot the model
285	@param qmax: the maximum value of x to replot model
286
287	"""
288	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
289	#self.done = True
290	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
291	try:
292	for page, value in self.page_finder.iteritems():
293	if page==cpage :
294	#fitdata = value.get_data()
295	list = value.get_model()
296	model= list[0]
297	break
298	i = 0
299	#print "fitting: single fit pars ", pars
300	for name in pars:
301	if result.pvec.__class__==numpy.float64:
302	model.setParam(name,result.pvec)
303	else:
304	model.setParam(name,result.pvec[i])
305	# print "fitting: single fit", name, result.pvec[i]
306	i += 1
307	print "fitting result : chisqr",result.fitness
308	print "fitting result : pvec",result.pvec
309	print "fitting result : stderr",result.stderr
310	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
311
312	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
313	#title="Fitted model 2D "
314	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
315	ymin=ymin, ymax=ymax,
316	xmin=xmin, xmax=xmax,title=None)
317	except:
318	#raise
319	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
320
321
322	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
323	xmin=None, xmax=None, ymin=None, ymax=None):
324	"""
325	Parameter estimation completed,
326	display the results to the user
327	@param alpha: estimated best alpha
328	@param elapsed: computation time
329	"""
330	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
331	try:
332	for page, value in self.page_finder.iteritems():
333	if value.get_scheduled()==1:
334	#fitdata = value.get_data()
335	list = value.get_model()
336	model= list[0]
337
338	small_out = []
339	small_cov = []
340	i = 0
341	#Separate result in to data corresponding to each page
342	for p in result.parameters:
343	model_name,param_name = self.split_string(p.name)
344	if model.name == model_name:
345	small_out.append(p.value )
346	small_cov.append(p.stderr)
347	model.setParam(param_name,p.value)
348	# Display result on each page
349	page.onsetValues(result.fitness, small_out,small_cov)
350	#Replot model
351	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
352	xmin=xmin, xmax=xmax,
353	ymin=ymin, ymax=ymax)
354	except:
355	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
356
357
358	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
359	"""
360	perform fit for the current page and return chisqr,out and cov
361	@param engineName: type of fit to be performed
362	@param id: unique id corresponding to a fit problem(model, set of data)
363	@param model: model to fit
364
365	"""
366	#print "in single fitting"
367	#set an engine to perform fit
368	from sans.fit.Fitting import Fit
369	self.fitter= Fit(self._fit_engine)
370	#Setting an id to store model and data in fit engine
371	if id==None:
372	self.id=0
373	else:
374	self.id = id
375	page_fitted=None
376	fit_problem=None
377	#Get information (model , data) related to the page on
378	#with the fit will be perform
379	#current_pg=self.fit_panel.get_current_page()
380	#simul_pg=self.fit_panel.get_page(0)
381	pars=[]
382	for page, value in self.page_finder.iteritems():
383	if value.get_scheduled() ==1 :
384	metadata = value.get_data()
385	list=value.get_model()
386	model=list[0]
387	smearer= value.get_smearer()
388	print "single fit", model, smearer
389	#Create list of parameters for fitting used
390
391	templist=[]
392	try:
393	#templist=current_pg.get_param_list()
394	templist=page.get_param_list()
395	for element in templist:
396	pars.append(str(element[0].GetLabelText()))
397	pars.sort()
398	#print "single fit start pars:", pars
399	#Do the single fit
400	self.fitter.set_model(Model(model), self.id, pars)
401	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
402
403	self.fitter.set_data(data=metadata,Uid=self.id,
404	smearer=smearer,qmin= qmin,qmax=qmax,
405	ymin=ymin,ymax=ymax)
406	print "single---->value of problem",value.get_scheduled()
407	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
408	page_fitted=page
409	self.id+=1
410	#self.schedule_for_fit( 0,value)
411	except:
412	raise
413	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
414	return
415	# make sure to keep an alphabetic order
416	#of parameter names in the list
417	try:
418	# If a thread is already started, stop it
419	if self.calc_thread != None and self.calc_thread.isrunning():
420	self.calc_thread.stop()
421
422	self.calc_thread =FitThread(parent =self.parent,
423	fn= self.fitter,
424	pars= pars,
425	cpage= page_fitted,
426	qmin=qmin,
427	qmax=qmax,
428
429	completefn=self._single_fit_completed,
430	updatefn=None)
431	self.calc_thread.queue()
432	self.calc_thread.ready(2.5)
433	#while not self.done:
434	#print "when here"
435	# time.sleep(1)
436
437
438	except:
439	raise
440	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
441	return
442
443	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
444	"""
445	perform fit for all the pages selected on simpage and return chisqr,out and cov
446	@param engineName: type of fit to be performed
447	@param id: unique id corresponding to a fit problem(model, set of data)
448	in park_integration
449	@param model: model to fit
450
451	"""
452	#set an engine to perform fit
453	from sans.fit.Fitting import Fit
454	self.fitter= Fit(self._fit_engine)
455
456	#Setting an id to store model and data
457	if id==None:
458	id = 0
459	self.id = id
460
461	for page, value in self.page_finder.iteritems():
462	try:
463	if value.get_scheduled()==1:
464	metadata = value.get_data()
465	list = value.get_model()
466	model= list[0]
467	#Create dictionary of parameters for fitting used
468	pars = []
469	templist = []
470	templist = page.get_param_list()
471	for element in templist:
472	try:
473	name = str(element[0].GetLabelText())
474	pars.append(name)
475	except:
476	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
477	return
478	# need to check this print "new model "
479	new_model=Model(model)
480	param=value.get_model_param()
481
482	if len(param)>0:
483	for item in param:
484	param_value = item[1]
485	param_name = item[0]
486	#print "fitting ", param,param_name, param_value
487
488	#new_model.set( model.getParam(param_name[0])= param_value)
489	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
490	#new_model.set( exec "%s"%(param_nam) = param_value)
491	new_model.parameterset[ param_name].set( param_value )
492
493	self.fitter.set_model(new_model, self.id, pars)
494	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
495	print "sim---->value of problem",value.get_scheduled()
496	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
497	self.id += 1
498	except:
499	#raise
500	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
501	return
502	#Do the simultaneous fit
503	try:
504	# If a thread is already started, stop it
505	if self.calc_thread != None and self.calc_thread.isrunning():
506	self.calc_thread.stop()
507
508	self.calc_thread =FitThread(parent =self.parent,
509	fn= self.fitter,
510	qmin=qmin,
511	qmax=qmax,
512	ymin= ymin,
513	ymax= ymax,
514	completefn= self._simul_fit_completed,
515	updatefn=None)
516	self.calc_thread.queue()
517	self.calc_thread.ready(2.5)
518
519	except:
520	#raise
521	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
522	return
523
524
525	def _onset_engine(self,event):
526	""" set engine to scipy"""
527	if self._fit_engine== 'park':
528	self._on_change_engine('scipy')
529	else:
530	self._on_change_engine('park')
531	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
532
533
534	def _on_change_engine(self, engine='park'):
535	"""
536	Allow to select the type of engine to perform fit
537	@param engine: the key work of the engine
538	"""
539	self._fit_engine = engine
540
541
542	def _on_model_panel(self, evt):
543	"""
544	react to model selection on any combo box or model menu.plot the model
545	"""
546
547	model = evt.model
548	name = evt.name
549
550	print "name fitting", name
551	sim_page=self.fit_panel.GetPage(1)
552	current_pg = self.fit_panel.get_current_page()
553	if current_pg != sim_page:
554	current_pg.set_panel(model)
555	#model.name = self.page_finder[current_pg].get_name()
556	#print "model name", model.name
557	model.name="M"+str(self.index_model)
558	try:
559	metadata=self.page_finder[current_pg].get_data()
560	M_name=model.name+"= "+name+"("+metadata.group_id+")"
561	except:
562	M_name=model.name+"= "+name
563	self.index_model += 1
564
565
566	# save model name
567
568	# save the name containing the data name with the appropriate model
569	self.page_finder[current_pg].set_model(model,M_name)
570	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
571	sim_page.add_model(self.page_finder)
572
573	def set_smearer(self,smearer):
574	current_pg=self.fit_panel.get_current_page()
575	self.page_finder[current_pg].set_smearer(smearer)
576
577	def redraw_model(self,qmin= None,qmax= None):
578	"""
579	Draw a theory according to model changes or data range.
580	@param qmin: the minimum value plotted for theory
581	@param qmax: the maximum value plotted for theory
582	"""
583	current_pg=self.fit_panel.get_current_page()
584	for page, value in self.page_finder.iteritems():
585	if page ==current_pg :
586	break
587	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
588
589	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
590	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
591	"""
592	Plot a theory given a model and data
593	@param model: the model from where the theory is derived
594	@param currpage: page in a dictionary referring to some data
595	"""
596	if self.fit_panel.GetPageCount() >1:
597	for page in self.page_finder.iterkeys():
598	if page==currpage :
599	data=self.page_finder[page].get_data()
600	list=self.page_finder[page].get_model()
601	model=list[0]
602	break
603	print "model in fitting",model
604	if data!=None and data.__class__.__name__ != 'Data2D':
605	theory = Theory1D(x=[], y=[])
606	theory.name = model.name
607	theory.group_id = data.group_id
608	"""
609	if hasattr(data, "id"):
610	import string
611	if string.find("Model",data.id )!=None:
612	#allow plotting on the same panel
613	theory.id =str(data.id )+" "+str(self.index_theory)
614	self.index_theory +=1
615	else:
616	"""
617	theory.id = "Model"
618
619	x_name, x_units = data.get_xaxis()
620	y_name, y_units = data.get_yaxis()
621	theory.xaxis(x_name, x_units)
622	theory.yaxis(y_name, y_units)
623	if qmin == None :
624	qmin = min(data.x)
625	if qmax == None :
626	qmax = max(data.x)
627	try:
628	tempx = qmin
629	tempy = model.run(qmin)
630	theory.x.append(tempx)
631	theory.y.append(tempy)
632	except :
633	wx.PostEvent(self.parent, StatusEvent(status="fitting \
634	skipping point x %g %s" %(qmin, sys.exc_value)))
635
636	for i in range(len(data.x)):
637	try:
638	if data.x[i]> qmin and data.x[i]< qmax:
639	tempx = data.x[i]
640	tempy = model.run(tempx)
641	theory.x.append(tempx)
642	theory.y.append(tempy)
643
644	except:
645	wx.PostEvent(self.parent, StatusEvent(status="fitting \
646	skipping point x %g %s" %(data.x[i], sys.exc_value)))
647	try:
648	tempx = qmax
649	tempy = model.run(qmax)
650	theory.x.append(tempx)
651	theory.y.append(tempy)
652	except:
653	wx.PostEvent(self.parent, StatusEvent(status="fitting \
654	skipping point x %g %s" %(qmin, sys.exc_value)) )
655	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
656	title=str(data.name)))
657	else:
658
659	theory=Data2D(data.data, data.err_data)
660	theory.name= model.name
661	if title !=None:
662	self.title = title
663	theory.id= self.title
664	theory.group_id= self.title+data.name
665	else:
666	self.title= "Analytical model 2D "
667	theory.id= "Model"
668	theory.group_id= "Model"+data.name
669	theory.x_bins= data.x_bins
670	theory.y_bins= data.y_bins
671
672	tempy=[]
673	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
674	if qmin==None:
675	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
676	if qmax==None:
677	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
678	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
679	if ymin==None:
680	ymin=data.ymin
681	if ymax==None:
682	ymax=data.ymax
683	if xmin ==None:
684	xmin=data.xmin
685	if xmax==None:
686	xmax=data.xmax
687
688	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
689	for j in range(len(data.y_bins)):
690	for i in range(len(data.x_bins)):
691	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
692	if tempqij>= qmin and tempqij<= qmax:
693	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
694	else:
695	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
696	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
697	#print "fitting : plot_helper:", theory.image
698	#print "fitting : plot_helper:",theory.image
699	theory.detector= data.detector
700	theory.source= data.source
701
702	theory.qmin= qmin
703	theory.qmax= qmax
704	theory.ymin= ymin
705	theory.ymax= ymax
706	theory.xmin= xmin
707	theory.xmax= xmax
708
709	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
710	title=self.title +str(data.name)))
711
712
713	def _on_model_menu(self, evt):
714	"""
715	Plot a theory from a model selected from the menu
716	"""
717	name = evt.model.__name__
718	if hasattr(evt.model, "name"):
719	name = evt.model.name
720	print "on model menu", name
721	model=evt.model()
722	description=model.description
723
724	# Create a model page. If a new page is created, the model
725	# will be plotted automatically. If a page already exists,
726	# the content will be updated and the plot refreshed
727	self.fit_panel.add_model_page(model,description,name,topmenu=True)
728
729	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
730	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
731	"""
732	draw model with default data value
733	"""
734	if data !=None:
735	self.redraw_model(qmin,qmax)
736	return
737	self._draw_model2D(model=model,
738	description=model.description,
739	enable2D= enable2D,
740	qmin=qmin,
741	qmax=qmax,
742	qstep=qstep)
743	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
744
745	def _draw_model1D(self,model,name,description=None, enable1D=True,
746	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
747
748	if enable1D:
749	x= numpy.linspace(start= qmin,
750	stop= qmax,
751	num= qstep,
752	endpoint=True
753	)
754	xlen= len(x)
755	y = numpy.zeros(xlen)
756	if not enable1D:
757	for i in range(xlen):
758	y[i] = model.run(x[i])
759
760	try:
761	new_plot = Theory1D(x, y)
762
763	new_plot.name = name
764	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
765	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
766	new_plot.id = "Model"
767	new_plot.group_id ="Model"
768	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
769	except:
770	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
771	#raise
772	else:
773	for i in range(xlen):
774	y[i] = model.run(x[i])
775	#print x, y
776	try:
777	new_plot = Theory1D(x, y)
778	print "draw model 1D", name
779	new_plot.name = name
780	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
781	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
782	new_plot.id ="Model"
783	new_plot.group_id ="Model"
784
785	# Pass the reset flag to let the plotting event handler
786	# know that we are replacing the whole plot
787	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
788	title="Analytical model 1D ", reset=True ))
789
790	except:
791	#raise
792	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
793	def update(self, output,time):
794	pass
795
796	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
797
798	wx.PostEvent(self.parent, StatusEvent(status="Calc \
799	complete in %g sec" % elapsed))
800	#print "complete",output, model,qmin, qmax
801	data = output
802	temp= numpy.zeros(numpy.shape(data))
803	temp[temp==0]=1
804	theory= Data2D(image=data, err_image=temp)
805
806	from DataLoader.data_info import Detector, Source
807
808	detector = Detector()
809	theory.detector=[]
810	theory.detector.append(detector)
811
812	theory.detector[0].distance=1e+32#13705.0
813	theory.source= Source()
814	theory.source.wavelength=2*math.pi/1e+32#8.4
815	theory.x_bins =[]
816	theory.y_bins =[]
817	#Now qmax is xmax.
818	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
819	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
820	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
821	theory.detector[0].beam_center.x= qmax
822	theory.detector[0].beam_center.y= qmax
823	#print "xmax,qmax",xmax,qmax
824	# compute x_bins and y_bins
825	# Qx and Qy vectors
826
827	distance = theory.detector[0].distance
828	pixel = qstep/2-1
829	theta = pixel / distance / qstep#100.0
830	wavelength = theory.source.wavelength
831	pixel_width_x = theory.detector[0].pixel_size.x
832	pixel_width_y = theory.detector[0].pixel_size.y
833	center_x = theory.detector[0].beam_center.x/pixel_width_x
834	center_y = theory.detector[0].beam_center.y/pixel_width_y
835
836
837	size_x, size_y= numpy.shape(theory.data)
838	#print "size_x,size_y",size_x, size_y
839	#This case, q and x are equivalent to each other.
840	for i_x in range(size_x):
841	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
842	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
843	theory.x_bins.append(qx)
844	for i_y in range(size_y):
845	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
846	qy =4.0math.pi/wavelength math.tan(theta/2.0)
847	theory.y_bins.append(qy)
848
849	#theory.err_data= numpy.
850	theory.name= model.name
851	theory.group_id ="Model"
852	theory.id ="Model"
853
854
855
856	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
857	theory.xmax= qmax#/math.sqrt(2)
858	theory.ymin= -qmax#/math.sqrt(2)
859	theory.ymax= qmax#/math.sqrt(2)
860
861	print "model draw comptele xmax",theory.xmax,model.name
862	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
863	title="Analytical model 2D ", reset=True ))
864
865
866
867	def _draw_model2D(self,model,description=None, enable2D=False,
868	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
869
870	x= numpy.linspace(start= -1*qmax,
871	stop= qmax,
872	num= qstep,
873	endpoint=True )
874	y = numpy.linspace(start= -1*qmax,
875	stop= qmax,
876	num= qstep,
877	endpoint=True )
878
879	lx = len(x)
880	#print x
881	data=numpy.zeros([len(x),len(y)])
882	self.model= model
883	if enable2D:
884	from sans.guiframe.model_thread import Calc2D
885	self.calc_thread = Calc2D(parent =self.parent,x=x,
886	y=y,model= self.model,
887	qmin=qmin,
888	qmax=qmax,
889	qstep=qstep,
890	completefn=self.complete,
891	updatefn=None)
892	self.calc_thread.queue()
893	self.calc_thread.ready(2.5)
894
895	def show_panel2D(self, id=None ):
896	self.parent.show_panel(self.model2D_id)
897
898
899	if __name__ == "__main__":
900	i = Plugin()
901
902
903
904

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ f69bc394

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