fitting.py @ 39c8c4e

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 39c8c4e was ac2cc940, checked in by Jae Cho <jhjcho@…>, 16 years ago
2d fit plot on 2d model data is all fixed
Property mode set to `100644`
File size: 36.7 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 = 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.get_page(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, ymin=None, ymax=None):
323	"""
324	Parameter estimation completed,
325	display the results to the user
326	@param alpha: estimated best alpha
327	@param elapsed: computation time
328	"""
329	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
330	try:
331	for page, value in self.page_finder.iteritems():
332	if value.get_scheduled()==1:
333	#fitdata = value.get_data()
334	list = value.get_model()
335	model= list[0]
336
337	small_out = []
338	small_cov = []
339	i = 0
340	#Separate result in to data corresponding to each page
341	for p in result.parameters:
342	model_name,param_name = self.split_string(p.name)
343	if model.name == model_name:
344	small_out.append(p.value )
345	small_cov.append(p.stderr)
346	model.setParam(param_name,p.value)
347	# Display result on each page
348	page.onsetValues(result.fitness, small_out,small_cov)
349	#Replot model
350	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
351	except:
352	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
353
354
355	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
356	"""
357	perform fit for the current page and return chisqr,out and cov
358	@param engineName: type of fit to be performed
359	@param id: unique id corresponding to a fit problem(model, set of data)
360	@param model: model to fit
361
362	"""
363	#print "in single fitting"
364	#set an engine to perform fit
365	from sans.fit.Fitting import Fit
366	self.fitter= Fit(self._fit_engine)
367	#Setting an id to store model and data in fit engine
368	if id==None:
369	self.id=0
370	else:
371	self.id = id
372	page_fitted=None
373	fit_problem=None
374	#Get information (model , data) related to the page on
375	#with the fit will be perform
376	#current_pg=self.fit_panel.get_current_page()
377	#simul_pg=self.fit_panel.get_page(0)
378
379	for page, value in self.page_finder.iteritems():
380	if value.get_scheduled() ==1 :
381	metadata = value.get_data()
382	list=value.get_model()
383	model=list[0]
384	smearer= value.get_smearer()
385	print "single fit", model, smearer
386	#Create list of parameters for fitting used
387	pars=[]
388	templist=[]
389	try:
390	#templist=current_pg.get_param_list()
391	templist=page.get_param_list()
392	for element in templist:
393	pars.append(str(element[0].GetLabelText()))
394	pars.sort()
395	#print "single fit start pars:", pars
396	#Do the single fit
397	self.fitter.set_model(Model(model), self.id, pars)
398	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
399
400	self.fitter.set_data(data=metadata,Uid=self.id,
401	smearer=smearer,qmin= qmin,qmax=qmax,
402	ymin=ymin,ymax=ymax)
403
404	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
405	page_fitted=page
406	self.id+=1
407	self.schedule_for_fit( 0,value)
408	except:
409	raise
410	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
411	return
412	# make sure to keep an alphabetic order
413	#of parameter names in the list
414	try:
415	# If a thread is already started, stop it
416	if self.calc_thread != None and self.calc_thread.isrunning():
417	self.calc_thread.stop()
418
419	self.calc_thread =FitThread(parent =self.parent,
420	fn= self.fitter,
421	pars= pars,
422	cpage= page_fitted,
423	qmin=qmin,
424	qmax=qmax,
425
426	completefn=self._single_fit_completed,
427	updatefn=None)
428	self.calc_thread.queue()
429	self.calc_thread.ready(2.5)
430	#while not self.done:
431	#print "when here"
432	# time.sleep(1)
433
434
435	except:
436	raise
437	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
438	return
439
440	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
441	"""
442	perform fit for all the pages selected on simpage and return chisqr,out and cov
443	@param engineName: type of fit to be performed
444	@param id: unique id corresponding to a fit problem(model, set of data)
445	in park_integration
446	@param model: model to fit
447
448	"""
449	#set an engine to perform fit
450	from sans.fit.Fitting import Fit
451	self.fitter= Fit(self._fit_engine)
452
453	#Setting an id to store model and data
454	if id==None:
455	id = 0
456	self.id = id
457
458	for page, value in self.page_finder.iteritems():
459	try:
460	if value.get_scheduled()==1:
461	metadata = value.get_data()
462	list = value.get_model()
463	model= list[0]
464	#Create dictionary of parameters for fitting used
465	pars = []
466	templist = []
467	templist = page.get_param_list()
468	for element in templist:
469	try:
470	name = str(element[0].GetLabelText())
471	pars.append(name)
472	except:
473	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
474	return
475	# need to check this print "new model "
476	new_model=Model(model)
477	param=value.get_model_param()
478
479	if len(param)>0:
480	for item in param:
481	param_value = item[1]
482	param_name = item[0]
483	#print "fitting ", param,param_name, param_value
484
485	#new_model.set( model.getParam(param_name[0])= param_value)
486	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
487	#new_model.set( exec "%s"%(param_nam) = param_value)
488	new_model.parameterset[ param_name].set( param_value )
489
490	self.fitter.set_model(new_model, self.id, pars)
491	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
492	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
493	self.id += 1
494	except:
495	#raise
496	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
497	return
498	#Do the simultaneous fit
499	try:
500	# If a thread is already started, stop it
501	if self.calc_thread != None and self.calc_thread.isrunning():
502	self.calc_thread.stop()
503
504	self.calc_thread =FitThread(parent =self.parent,
505	fn= self.fitter,
506	qmin=qmin,
507	qmax=qmax,
508	ymin= ymin,
509	ymax= ymax,
510	completefn= self._simul_fit_completed,
511	updatefn=None)
512	self.calc_thread.queue()
513	self.calc_thread.ready(2.5)
514
515	except:
516	#raise
517	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
518	return
519
520
521	def _onset_engine(self,event):
522	""" set engine to scipy"""
523	if self._fit_engine== 'park':
524	self._on_change_engine('scipy')
525	else:
526	self._on_change_engine('park')
527	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
528
529
530	def _on_change_engine(self, engine='park'):
531	"""
532	Allow to select the type of engine to perform fit
533	@param engine: the key work of the engine
534	"""
535	self._fit_engine = engine
536
537
538	def _on_model_panel(self, evt):
539	"""
540	react to model selection on any combo box or model menu.plot the model
541	"""
542
543	model = evt.model
544	name = evt.name
545
546	print "name fitting", name
547	sim_page=self.fit_panel.GetPage(1)
548	current_pg = self.fit_panel.get_current_page()
549	if current_pg != sim_page:
550	current_pg.set_panel(model)
551	#model.name = self.page_finder[current_pg].get_name()
552	#print "model name", model.name
553	model.name="M"+str(self.index_model)
554	try:
555	metadata=self.page_finder[current_pg].get_data()
556	M_name=model.name+"= "+name+"("+metadata.group_id+")"
557	except:
558	M_name=model.name+"= "+name
559	self.index_model += 1
560
561
562	# save model name
563
564	# save the name containing the data name with the appropriate model
565	self.page_finder[current_pg].set_model(model,M_name)
566	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
567	sim_page.add_model(self.page_finder)
568
569	def set_smearer(self,smearer):
570	current_pg=self.fit_panel.get_current_page()
571	self.page_finder[current_pg].set_smearer(smearer)
572
573	def redraw_model(self,qmin= None,qmax= None):
574	"""
575	Draw a theory according to model changes or data range.
576	@param qmin: the minimum value plotted for theory
577	@param qmax: the maximum value plotted for theory
578	"""
579	current_pg=self.fit_panel.get_current_page()
580	for page, value in self.page_finder.iteritems():
581	if page ==current_pg :
582	break
583	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
584
585	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
586	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
587	"""
588	Plot a theory given a model and data
589	@param model: the model from where the theory is derived
590	@param currpage: page in a dictionary referring to some data
591	"""
592	if self.fit_panel.GetPageCount() >1:
593	for page in self.page_finder.iterkeys():
594	if page==currpage :
595	data=self.page_finder[page].get_data()
596	list=self.page_finder[page].get_model()
597	model=list[0]
598	break
599	print "model in fitting",model
600	if data!=None and data.__class__.__name__ != 'Data2D':
601	theory = Theory1D(x=[], y=[])
602	theory.name = model.name
603	theory.group_id = data.group_id
604	"""
605	if hasattr(data, "id"):
606	import string
607	if string.find("Model",data.id )!=None:
608	#allow plotting on the same panel
609	theory.id =str(data.id )+" "+str(self.index_theory)
610	self.index_theory +=1
611	else:
612	"""
613	theory.id = "Model"
614
615	x_name, x_units = data.get_xaxis()
616	y_name, y_units = data.get_yaxis()
617	theory.xaxis(x_name, x_units)
618	theory.yaxis(y_name, y_units)
619	if qmin == None :
620	qmin = min(data.x)
621	if qmax == None :
622	qmax = max(data.x)
623	try:
624	tempx = qmin
625	tempy = model.run(qmin)
626	theory.x.append(tempx)
627	theory.y.append(tempy)
628	except :
629	wx.PostEvent(self.parent, StatusEvent(status="fitting \
630	skipping point x %g %s" %(qmin, sys.exc_value)))
631
632	for i in range(len(data.x)):
633	try:
634	if data.x[i]> qmin and data.x[i]< qmax:
635	tempx = data.x[i]
636	tempy = model.run(tempx)
637	theory.x.append(tempx)
638	theory.y.append(tempy)
639
640	except:
641	wx.PostEvent(self.parent, StatusEvent(status="fitting \
642	skipping point x %g %s" %(data.x[i], sys.exc_value)))
643	try:
644	tempx = qmax
645	tempy = model.run(qmax)
646	theory.x.append(tempx)
647	theory.y.append(tempy)
648	except:
649	wx.PostEvent(self.parent, StatusEvent(status="fitting \
650	skipping point x %g %s" %(qmin, sys.exc_value)) )
651	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
652	title=str(data.name)))
653	else:
654
655	theory=Data2D(data.data, data.err_data)
656	theory.name= model.name
657	if title !=None:
658	self.title = title
659	theory.id= self.title
660	theory.group_id= self.title+data.name
661	else:
662	self.title= "Analytical model 2D "
663	theory.id= "Model"
664	theory.group_id= "Model"+data.name
665	theory.x_bins= data.x_bins
666	theory.y_bins= data.y_bins
667	tempy=[]
668	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
669	if qmin==None:
670	qmin=0#data.xmin
671	if qmax==None:
672	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
673	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
674	if ymin==None:
675	ymin=data.ymin
676	if ymax==None:
677	ymax=data.ymax
678	if xmin ==None:
679	xmin=data.xmin
680	if xmax==None:
681	xmax=data.xmax
682	#print " q range =",
683	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
684	for j in range(len(data.y_bins)):
685	for i in range(len(data.x_bins)):
686	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
687	#if tempqij>= qmin and tempqij<= qmax:
688	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
689	#else:
690	#theory.data[j][i]=None
691	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j
692	#print "fitting : plot_helper:", theory.image
693	#print "fitting : plot_helper:",theory.image
694	theory.detector= data.detector
695	theory.source= data.source
696
697	theory.qmin= qmin
698	theory.qmax= qmax
699	theory.ymin= ymin
700	theory.ymax= ymax
701	theory.xmin= xmin
702	theory.xmax= xmax
703
704	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
705	title=self.title +str(data.name)))
706
707
708	def _on_model_menu(self, evt):
709	"""
710	Plot a theory from a model selected from the menu
711	"""
712	name = evt.model.__name__
713	if hasattr(evt.model, "name"):
714	name = evt.model.name
715	print "on model menu", name
716	model=evt.model()
717	description=model.description
718
719	# Create a model page. If a new page is created, the model
720	# will be plotted automatically. If a page already exists,
721	# the content will be updated and the plot refreshed
722	self.fit_panel.add_model_page(model,description,name,topmenu=True)
723
724	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
725	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
726	"""
727	draw model with default data value
728	"""
729	if data !=None:
730	self.redraw_model(qmin,qmax)
731	return
732	self._draw_model2D(model=model,
733	description=model.description,
734	enable2D= enable2D,
735	qmin=qmin,
736	qmax=qmax,
737	qstep=qstep)
738	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
739
740	def _draw_model1D(self,model,name,description=None, enable1D=True,
741	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
742
743	if enable1D:
744	x= numpy.linspace(start= qmin,
745	stop= qmax,
746	num= qstep,
747	endpoint=True
748	)
749	xlen= len(x)
750	y = numpy.zeros(xlen)
751	if not enable1D:
752	for i in range(xlen):
753	y[i] = model.run(x[i])
754
755	try:
756	new_plot = Theory1D(x, y)
757
758	new_plot.name = name
759	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
760	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
761	new_plot.id = "Model"
762	new_plot.group_id ="Model"
763	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
764	except:
765	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
766	#raise
767	else:
768	for i in range(xlen):
769	y[i] = model.run(x[i])
770	#print x, y
771	try:
772	new_plot = Theory1D(x, y)
773	print "draw model 1D", name
774	new_plot.name = name
775	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
776	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
777	new_plot.id ="Model"
778	new_plot.group_id ="Model"
779
780	# Pass the reset flag to let the plotting event handler
781	# know that we are replacing the whole plot
782	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
783	title="Analytical model 1D ", reset=True ))
784
785	except:
786	#raise
787	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
788	def update(self, output,time):
789	pass
790
791	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
792
793	wx.PostEvent(self.parent, StatusEvent(status="Calc \
794	complete in %g sec" % elapsed))
795	#print "complete",output, model,qmin, qmax
796	data = output
797	temp= numpy.zeros(numpy.shape(data))
798	temp[temp==0]=1
799	theory= Data2D(image=data, err_image=temp)
800
801	from DataLoader.data_info import Detector, Source
802
803	detector = Detector()
804	theory.detector=[]
805	theory.detector.append(detector)
806
807	theory.detector[0].distance=1e+32#13705.0
808	theory.source= Source()
809	theory.source.wavelength=2*math.pi/1e+32#8.4
810	theory.x_bins =[]
811	theory.y_bins =[]
812	#Now qmax is xmax.
813	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
814	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
815	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
816	theory.detector[0].beam_center.x= qmax
817	theory.detector[0].beam_center.y= qmax
818	#print "xmax,qmax",xmax,qmax
819	# compute x_bins and y_bins
820	# Qx and Qy vectors
821
822	distance = theory.detector[0].distance
823	pixel = qstep/2-1
824	theta = pixel / distance / qstep#100.0
825	wavelength = theory.source.wavelength
826	pixel_width_x = theory.detector[0].pixel_size.x
827	pixel_width_y = theory.detector[0].pixel_size.y
828	center_x = theory.detector[0].beam_center.x/pixel_width_x
829	center_y = theory.detector[0].beam_center.y/pixel_width_y
830
831
832	size_x, size_y= numpy.shape(theory.data)
833	#print "size_x,size_y",size_x, size_y
834	#This case, q and x are equivalent to each other.
835	for i_x in range(size_x):
836	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
837	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
838	theory.x_bins.append(qx)
839	for i_y in range(size_y):
840	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
841	qy =4.0math.pi/wavelength math.tan(theta/2.0)
842	theory.y_bins.append(qy)
843
844	#theory.err_data= numpy.
845	theory.name= model.name
846	theory.group_id ="Model"
847	theory.id ="Model"
848
849
850
851	theory.xmin= -qmax/math.sqrt(2)
852	theory.xmax= qmax/math.sqrt(2)
853	theory.ymin= -qmax/math.sqrt(2)
854	theory.ymax= qmax/math.sqrt(2)
855
856	print "model draw comptele xmax",theory.xmax,model.name
857	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
858	title="Analytical model 2D ", reset=True ))
859
860
861
862	def _draw_model2D(self,model,description=None, enable2D=False,
863	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
864
865	x= numpy.linspace(start= -1*qmax,
866	stop= qmax,
867	num= qstep,
868	endpoint=True )
869	y = numpy.linspace(start= -1*qmax,
870	stop= qmax,
871	num= qstep,
872	endpoint=True )
873
874	lx = len(x)
875	#print x
876	data=numpy.zeros([len(x),len(y)])
877	self.model= model
878	if enable2D:
879	from sans.guiframe.model_thread import Calc2D
880	self.calc_thread = Calc2D(parent =self.parent,x=x,
881	y=y,model= self.model,
882	qmin=qmin,
883	qmax=qmax,
884	qstep=qstep,
885	completefn=self.complete,
886	updatefn=None)
887	self.calc_thread.queue()
888	self.calc_thread.ready(2.5)
889
890	def show_panel2D(self, id=None ):
891	self.parent.show_panel(self.model2D_id)
892
893
894	if __name__ == "__main__":
895	i = Plugin()
896
897
898
899

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 39c8c4e

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