fitting.py @ d0eac66

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 d0eac66 was d0eac66, checked in by Jae Cho <jhjcho@…>, 15 years ago
Fixed generating an error when calling 'select data for fitting' twice.
Property mode set to `100644`
File size: 35.6 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,fitpage2D
17	import park
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.1
21	DEFAULT_NPTS = 40
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
100
101	def get_context_menu(self, graph=None):
102	"""
103	Get the context menu items available for P(r)
104	@param graph: the Graph object to which we attach the context menu
105	@return: a list of menu items with call-back function
106	"""
107	self.graph=graph
108	for item in graph.plottables:
109	if item.__class__.__name__ is "Data2D":
110	return [["Select data for Fitting",\
111	"Dialog with fitting parameters ", self._onSelect]]
112	else:
113	if item.name==graph.selected_plottable and\
114	item.__class__.__name__ is "Data1D":
115	return [["Select data for Fitting", \
116	"Dialog with fitting parameters ", self._onSelect]]
117	return []
118
119
120	def get_panels(self, parent):
121	"""
122	Create and return a list of panel objects
123	"""
124	self.parent = parent
125	# Creation of the fit panel
126	self.fit_panel = FitPanel(self.parent, -1)
127	#Set the manager forthe main panel
128	self.fit_panel.set_manager(self)
129	# List of windows used for the perspective
130	self.perspective = []
131	self.perspective.append(self.fit_panel.window_name)
132	# take care of saving data, model and page associated with each other
133	self.page_finder = {}
134	#index number to create random model name
135	self.index_model = 0
136	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
137
138
139	#create the fitting panel
140	#return [self.fit_panel]
141
142	self.mypanels.append(self.fit_panel)
143	return self.mypanels
144
145
146	def _on_model2D_show(self, event ):
147	print "model2D get the id ", event.id
148
149
150	def _on_slicer_event(self, event):
151	print "fitting:slicer event ", event.panel
152	if event.panel!=None:
153	new_panel = event.panel
154	# Set group ID if available
155	event_id = self.parent.popup_panel(new_panel)
156	self.menu1.Append(event_id, new_panel.window_caption,
157	"Show %s plot panel" % new_panel.window_caption)
158	# Set UID to allow us to reference the panel later
159	new_panel.uid = event_id
160	new_panel
161	self.mypanels.append(new_panel)
162	return
163	def _on_show_panel(self, event):
164	print "_on_show_panel: fitting"
165
166	def get_perspective(self):
167	"""
168	Get the list of panel names for this perspective
169	"""
170	return self.perspective
171
172
173	def on_perspective(self, event):
174	"""
175	Call back function for the perspective menu item.
176	We notify the parent window that the perspective
177	has changed.
178	"""
179	self.parent.set_perspective(self.perspective)
180
181
182	def post_init(self):
183	"""
184	Post initialization call back to close the loose ends
185	[Somehow openGL needs this call]
186	"""
187	self.parent.set_perspective(self.perspective)
188
189
190	def _onSelect(self,event):
191	"""
192	when Select data to fit a new page is created .Its reference is
193	added to self.page_finder
194	"""
195	self.panel = event.GetEventObject()
196	for item in self.panel.graph.plottables:
197	if item.name == self.panel.graph.selected_plottable or\
198	item.__class__.__name__ is "Data2D":
199	#find a name for the page created for notebook
200	try:
201
202	page, model_name = self.fit_panel.add_fit_page(item)
203	# add data associated to the page created
204
205	if page !=None:
206	#create a fitproblem storing all link to data,model,page creation
207	self.page_finder[page]= FitProblem()
208	self.page_finder[page].save_model_name(model_name)
209	self.page_finder[page].add_data(item)
210	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
211	else:
212	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
213	except:
214	#raise
215	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
216	%sys.exc_value))
217	def schedule_for_fit(self,value=0,fitproblem =None):
218	"""
219
220	"""
221	if fitproblem !=None:
222	fitproblem.schedule_tofit(value)
223	else:
224	current_pg=self.fit_panel.get_current_page()
225	for page, val in self.page_finder.iteritems():
226	if page ==current_pg :
227	val.schedule_tofit(value)
228	break
229
230
231	def get_page_finder(self):
232	""" @return self.page_finder used also by simfitpage.py"""
233	return self.page_finder
234
235
236	def set_page_finder(self,modelname,names,values):
237	"""
238	Used by simfitpage.py to reset a parameter given the string constrainst.
239	@param modelname: the name ot the model for with the parameter has to reset
240	@param value: can be a string in this case.
241	@param names: the paramter name
242	@note: expecting park used for fit.
243	"""
244	sim_page=self.fit_panel.get_page(1)
245	for page, value in self.page_finder.iteritems():
246	if page != sim_page:
247	list=value.get_model()
248	model=list[0]
249	#print "fitting",model.name,modelname
250	if model.name== modelname:
251	value.set_model_param(names,values)
252	break
253
254
255
256	def split_string(self,item):
257	"""
258	receive a word containing dot and split it. used to split parameterset
259	name into model name and parameter name example:
260	paramaterset (item) = M1.A
261	@return model_name =M1 , parameter name =A
262	"""
263	if string.find(item,".")!=-1:
264	param_names= re.split("\.",item)
265	model_name=param_names[0]
266	param_name=param_names[1]
267	return model_name,param_name
268
269
270	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
271	ymin=None, ymax=None, xmin=None, xmax=None):
272	"""
273	Display fit result on one page of the notebook.
274	@param result: result of fit
275	@param pars: list of names of parameters fitted
276	@param current_pg: the page where information will be displayed
277	@param qmin: the minimum value of x to replot the model
278	@param qmax: the maximum value of x to replot model
279
280	"""
281	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
282	#self.done = True
283	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
284	try:
285	for page, value in self.page_finder.iteritems():
286	if page==cpage :
287	#fitdata = value.get_data()
288	list = value.get_model()
289	model= list[0]
290	break
291	i = 0
292	#print "fitting: single fit pars ", pars
293	for name in pars:
294	if result.pvec.__class__==numpy.float64:
295	model.setParam(name,result.pvec)
296	else:
297	model.setParam(name,result.pvec[i])
298	# print "fitting: single fit", name, result.pvec[i]
299	i += 1
300	print "fitting result : chisqr",result.fitness
301	print "fitting result : pvec",result.pvec
302	print "fitting result : stderr",result.stderr
303	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
304
305	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
306	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
307	ymin=ymin, ymax=ymax,
308	xmin=xmin, xmax=xmax,title="Fitted model 2D ")
309	except:
310	#raise
311	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
312
313
314	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
315	"""
316	Parameter estimation completed,
317	display the results to the user
318	@param alpha: estimated best alpha
319	@param elapsed: computation time
320	"""
321	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
322	try:
323	for page, value in self.page_finder.iteritems():
324	if value.get_scheduled()==1:
325	#fitdata = value.get_data()
326	list = value.get_model()
327	model= list[0]
328
329	small_out = []
330	small_cov = []
331	i = 0
332	#Separate result in to data corresponding to each page
333	for p in result.parameters:
334	model_name,param_name = self.split_string(p.name)
335	if model.name == model_name:
336	small_out.append(p.value )
337	small_cov.append(p.stderr)
338	model.setParam(param_name,p.value)
339	# Display result on each page
340	page.onsetValues(result.fitness, small_out,small_cov)
341	#Replot model
342	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
343	except:
344	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
345
346
347	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
348	"""
349	perform fit for the current page and return chisqr,out and cov
350	@param engineName: type of fit to be performed
351	@param id: unique id corresponding to a fit problem(model, set of data)
352	@param model: model to fit
353
354	"""
355	#print "in single fitting"
356	#set an engine to perform fit
357	from sans.fit.Fitting import Fit
358	self.fitter= Fit(self._fit_engine)
359	#Setting an id to store model and data in fit engine
360	if id==None:
361	self.id=0
362	else:
363	self.id = id
364	page_fitted=None
365	fit_problem=None
366	#Get information (model , data) related to the page on
367	#with the fit will be perform
368	#current_pg=self.fit_panel.get_current_page()
369	#simul_pg=self.fit_panel.get_page(0)
370
371	for page, value in self.page_finder.iteritems():
372	if value.get_scheduled() ==1 :
373	metadata = value.get_data()
374	list=value.get_model()
375	model=list[0]
376	smearer= value.get_smearer()
377	print "single fit", model, smearer
378	#Create list of parameters for fitting used
379	pars=[]
380	templist=[]
381	try:
382	#templist=current_pg.get_param_list()
383	templist=page.get_param_list()
384	for element in templist:
385	pars.append(str(element[0].GetLabelText()))
386	pars.sort()
387	#print "single fit start pars:", pars
388	#Do the single fit
389	self.fitter.set_model(Model(model), self.id, pars)
390	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
391
392	self.fitter.set_data(data=metadata,Uid=self.id,
393	smearer=smearer,qmin= qmin,qmax=qmax,
394	ymin=ymin,ymax=ymax)
395
396	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
397	page_fitted=page
398	self.id+=1
399	self.schedule_for_fit( 0,value)
400	except:
401	raise
402	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
403	return
404	# make sure to keep an alphabetic order
405	#of parameter names in the list
406	try:
407	# If a thread is already started, stop it
408	if self.calc_thread != None and self.calc_thread.isrunning():
409	self.calc_thread.stop()
410
411	self.calc_thread =FitThread(parent =self.parent,
412	fn= self.fitter,
413	pars= pars,
414	cpage= page_fitted,
415	qmin=qmin,
416	qmax=qmax,
417
418	completefn=self._single_fit_completed,
419	updatefn=None)
420	self.calc_thread.queue()
421	self.calc_thread.ready(2.5)
422	#while not self.done:
423	#print "when here"
424	# time.sleep(1)
425
426
427	except:
428	raise
429	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
430	return
431
432	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
433	"""
434	perform fit for all the pages selected on simpage and return chisqr,out and cov
435	@param engineName: type of fit to be performed
436	@param id: unique id corresponding to a fit problem(model, set of data)
437	in park_integration
438	@param model: model to fit
439
440	"""
441	#set an engine to perform fit
442	from sans.fit.Fitting import Fit
443	self.fitter= Fit(self._fit_engine)
444
445	#Setting an id to store model and data
446	if id==None:
447	id = 0
448	self.id = id
449
450	for page, value in self.page_finder.iteritems():
451	try:
452	if value.get_scheduled()==1:
453	metadata = value.get_data()
454	list = value.get_model()
455	model= list[0]
456	#Create dictionary of parameters for fitting used
457	pars = []
458	templist = []
459	templist = page.get_param_list()
460	for element in templist:
461	try:
462	name = str(element[0].GetLabelText())
463	pars.append(name)
464	except:
465	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
466	return
467	# need to check this print "new model "
468	new_model=Model(model)
469	param=value.get_model_param()
470
471	if len(param)>0:
472	for item in param:
473	param_value = item[1]
474	param_name = item[0]
475	#print "fitting ", param,param_name, param_value
476
477	#new_model.set( model.getParam(param_name[0])= param_value)
478	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
479	#new_model.set( exec "%s"%(param_nam) = param_value)
480	new_model.parameterset[ param_name].set( param_value )
481
482	self.fitter.set_model(new_model, self.id, pars)
483	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
484	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
485	self.id += 1
486	except:
487	#raise
488	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
489	return
490	#Do the simultaneous fit
491	try:
492	# If a thread is already started, stop it
493	if self.calc_thread != None and self.calc_thread.isrunning():
494	self.calc_thread.stop()
495
496	self.calc_thread =FitThread(parent =self.parent,
497	fn= self.fitter,
498	qmin=qmin,
499	qmax=qmax,
500	ymin= ymin,
501	ymax= ymax,
502	completefn= self._simul_fit_completed,
503	updatefn=None)
504	self.calc_thread.queue()
505	self.calc_thread.ready(2.5)
506
507	except:
508	#raise
509	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
510	return
511
512
513	def _onset_engine(self,event):
514	""" set engine to scipy"""
515	if self._fit_engine== 'park':
516	self._on_change_engine('scipy')
517	else:
518	self._on_change_engine('park')
519	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
520
521
522	def _on_change_engine(self, engine='park'):
523	"""
524	Allow to select the type of engine to perform fit
525	@param engine: the key work of the engine
526	"""
527	self._fit_engine = engine
528
529
530	def _on_model_panel(self, evt):
531	"""
532	react to model selection on any combo box or model menu.plot the model
533	"""
534
535	model = evt.model
536	name = evt.name
537
538	sim_page=self.fit_panel.GetPage(1)
539	current_pg = self.fit_panel.get_current_page()
540	if current_pg != sim_page:
541	current_pg.set_panel(model)
542	model.name = self.page_finder[current_pg].get_name()
543	try:
544	metadata=self.page_finder[current_pg].get_data()
545	M_name=model.name+"= "+name+"("+metadata.group_id+")"
546	except:
547	M_name=model.name+"= "+name
548	#model.name="M"+str(self.index_model)
549	self.index_model += 1
550	# save model name
551
552	# save the name containing the data name with the appropriate model
553	self.page_finder[current_pg].set_model(model,M_name)
554	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
555	sim_page.add_model(self.page_finder)
556
557	def set_smearer(self,smearer):
558	current_pg=self.fit_panel.get_current_page()
559	self.page_finder[current_pg].set_smearer(smearer)
560
561	def redraw_model(self,qmin= None,qmax= None):
562	"""
563	Draw a theory according to model changes or data range.
564	@param qmin: the minimum value plotted for theory
565	@param qmax: the maximum value plotted for theory
566	"""
567	current_pg=self.fit_panel.get_current_page()
568	for page, value in self.page_finder.iteritems():
569	if page ==current_pg :
570	break
571	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
572
573	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
574	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
575	"""
576	Plot a theory given a model and data
577	@param model: the model from where the theory is derived
578	@param currpage: page in a dictionary referring to some data
579	"""
580	if self.fit_panel.GetPageCount() >1:
581	for page in self.page_finder.iterkeys():
582	if page==currpage :
583	data=self.page_finder[page].get_data()
584	list=self.page_finder[page].get_model()
585	model=list[0]
586	break
587	print "model in fitting",model
588	if data!=None and data.__class__.__name__ != 'Data2D':
589	theory = Theory1D(x=[], y=[])
590	theory.name = model.name
591	theory.group_id = data.group_id
592	theory.id = "Model"
593	x_name, x_units = data.get_xaxis()
594	y_name, y_units = data.get_yaxis()
595	theory.xaxis(x_name, x_units)
596	theory.yaxis(y_name, y_units)
597	if qmin == None :
598	qmin = min(data.x)
599	if qmax == None :
600	qmax = max(data.x)
601	try:
602	tempx = qmin
603	tempy = model.run(qmin)
604	theory.x.append(tempx)
605	theory.y.append(tempy)
606	except :
607	wx.PostEvent(self.parent, StatusEvent(status="fitting \
608	skipping point x %g %s" %(qmin, sys.exc_value)))
609
610	for i in range(len(data.x)):
611	try:
612	if data.x[i]> qmin and data.x[i]< qmax:
613	tempx = data.x[i]
614	tempy = model.run(tempx)
615	theory.x.append(tempx)
616	theory.y.append(tempy)
617
618	except:
619	wx.PostEvent(self.parent, StatusEvent(status="fitting \
620	skipping point x %g %s" %(data.x[i], sys.exc_value)))
621	try:
622	tempx = qmax
623	tempy = model.run(qmax)
624	theory.x.append(tempx)
625	theory.y.append(tempy)
626	except:
627	wx.PostEvent(self.parent, StatusEvent(status="fitting \
628	skipping point x %g %s" %(qmin, sys.exc_value)) )
629	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
630	title=str(data.name)))
631	else:
632
633	theory=Data2D(data.data, data.err_data)
634	theory.name= model.name
635	if title !=None:
636	self.title = title
637	theory.id= self.title
638	theory.group_id= self.title+data.name
639	else:
640	self.title= "Analytical model 2D "
641	theory.id= "Model"
642	theory.group_id= "Model"+data.name
643	theory.x_bins= data.x_bins
644	theory.y_bins= data.y_bins
645	tempy=[]
646	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
647	if qmin==None:
648	qmin=0#data.xmin
649	if qmax==None:
650	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
651	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
652	if ymin==None:
653	ymin=data.ymin
654	if ymax==None:
655	ymax=data.ymax
656	if xmin ==None:
657	xmin=data.xmin
658	if xmax==None:
659	xmax=data.xmax
660	#print " q range =",
661	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
662	for j in range(len(data.y_bins)):
663	for i in range(len(data.x_bins)):
664	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
665	#if tempqij>= qmin and tempqij<= qmax:
666	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
667	#else:
668	#theory.data[j][i]=None
669	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j
670	#print "fitting : plot_helper:", theory.image
671	#print "fitting : plot_helper:",theory.image
672	theory.detector= data.detector
673	theory.source= data.source
674
675	theory.qmin= qmin
676	theory.qmax= qmax
677	theory.ymin= ymin
678	theory.ymax= ymax
679	theory.xmin= xmin
680	theory.xmax= xmax
681
682	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
683	title=self.title +str(data.name)))
684
685
686	def _on_model_menu(self, evt):
687	"""
688	Plot a theory from a model selected from the menu
689	"""
690	name = evt.model.__name__
691	if hasattr(evt.model, "name"):
692	name = evt.model.name
693	print "on model menu", name
694	model=evt.model()
695	description=model.description
696
697	# Create a model page. If a new page is created, the model
698	# will be plotted automatically. If a page already exists,
699	# the content will be updated and the plot refreshed
700	self.fit_panel.add_model_page(model,description,name,topmenu=True)
701
702	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
703	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
704	"""
705	draw model with default data value
706	"""
707	if data !=None:
708	self.redraw_model(qmin,qmax)
709	return
710	self._draw_model2D(model=model,
711	description=model.description,
712	enable2D= enable2D,
713	qmin=qmin,
714	qmax=qmax,
715	qstep=qstep)
716	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
717
718	def _draw_model1D(self,model,name,description=None, enable1D=True,
719	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
720
721	if enable1D:
722	x= numpy.linspace(start= qmin,
723	stop= qmax,
724	num= qstep,
725	endpoint=True
726	)
727	xlen= len(x)
728	y = numpy.zeros(xlen)
729	if not enable1D:
730	for i in range(xlen):
731	y[i] = model.run(x[i])
732
733	try:
734	new_plot = Theory1D(x, y)
735
736	new_plot.name = name
737	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
738	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
739	new_plot.id = "Model"
740	new_plot.group_id ="Model"
741	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
742	except:
743	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
744	#raise
745	else:
746	for i in range(xlen):
747	y[i] = model.run(x[i])
748	#print x, y
749	try:
750	new_plot = Theory1D(x, y)
751	print "draw model 1D", name
752	new_plot.name = name
753	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
754	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
755	new_plot.id ="Model"
756	new_plot.group_id ="Model"
757
758	# Pass the reset flag to let the plotting event handler
759	# know that we are replacing the whole plot
760	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
761	title="Analytical model 1D ", reset=True ))
762
763	except:
764	#raise
765	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
766	def update(self, output,time):
767	pass
768
769	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
770
771	wx.PostEvent(self.parent, StatusEvent(status="Calc \
772	complete in %g sec" % elapsed))
773	#print "complete",output, model,qmin, qmax
774	data = output
775	temp= numpy.zeros(numpy.shape(data))
776	temp[temp==0]=1
777	theory= Data2D(image=data, err_image=temp)
778
779	from DataLoader.data_info import Detector, Source
780
781	detector = Detector()
782	theory.detector=[]
783	theory.detector.append(detector)
784
785	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
786	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
787	theory.detector[0].beam_center.x= qmax
788	theory.detector[0].beam_center.y= qmax
789	theory.detector[0].distance= 1e+12#13705.0
790	theory.source= Source()
791	theory.source.wavelength= 2*math.pi/1e+12#8.4
792	theory.x_bins =[]
793	theory.y_bins =[]
794	# compute x_bins and y_bins
795	# Qx and Qy vectors
796
797	distance = theory.detector[0].distance
798	pixel = qstep/2-1
799	theta = pixel / distance / 100.0
800	wavelength = theory.source.wavelength
801	pixel_width_x = theory.detector[0].pixel_size.x
802	pixel_width_y = theory.detector[0].pixel_size.y
803	center_x = theory.detector[0].beam_center.x/pixel_width_x
804	center_y = theory.detector[0].beam_center.y/pixel_width_y
805
806
807	size_x, size_y= numpy.shape(theory.data)
808	#print "size_x,size_y",size_x, size_y
809	for i_x in range(size_x):
810	theta = (i_x-center_x+1)*pixel_width_x / distance / size_x#100.0
811	qx = 4.0math.pi/wavelength math.sin(theta/2.0)
812	theory.x_bins.append(qx)
813	for i_y in range(size_y):
814	theta = (i_y-center_y+1)*pixel_width_y / distance / size_y#100.0
815	qy = 4.0math.pi/wavelength math.sin(theta/2.0)
816	theory.y_bins.append(qy)
817
818	#theory.err_data= numpy.
819	theory.name= model.name
820	theory.group_id ="Model"
821	theory.id ="Model"
822
823
824
825	theory.xmin= -qmax
826	theory.xmax= qmax
827	theory.ymin= -qmax
828	theory.ymax= qmax
829
830	print "model draw comptele xmax",theory.xmax,model.name
831	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
832	title="Analytical model 2D ", reset=True ))
833
834
835
836	def _draw_model2D(self,model,description=None, enable2D=False,
837	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
838
839	x= numpy.linspace(start= -1*qmax,
840	stop= qmax,
841	num= qstep,
842	endpoint=True )
843	y = numpy.linspace(start= -1*qmax,
844	stop= qmax,
845	num= qstep,
846	endpoint=True )
847
848	lx = len(x)
849	#print x
850	data=numpy.zeros([len(x),len(y)])
851	self.model= model
852	if enable2D:
853	from model_thread import Calc2D
854	self.calc_thread = Calc2D(parent =self.parent,x=x,
855	y=y,model= self.model,
856	qmin=qmin,
857	qmax=qmax,
858	qstep=qstep,
859	completefn=self.complete,
860	updatefn=None)
861	self.calc_thread.queue()
862	self.calc_thread.ready(2.5)
863
864	def show_panel2D(self, id=None ):
865	self.parent.show_panel(self.model2D_id)
866
867
868	if __name__ == "__main__":
869	i = Plugin()
870
871
872
873

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ d0eac66

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