fitting.py @ 3215d32

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 3215d32 was 3215d32, checked in by Gervaise Alina <gervyh@…>, 15 years ago
fixing bug on for simultaneous fit
Property mode set to `100644`
File size: 38.6 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
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
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
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	small_cov.append(p.stderr)
359	model.setParam(param_name,p.value)
360	# Display result on each page
361	page.onsetValues(result.fitness, small_out,small_cov)
362	#Replot model
363	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
364	xmin=xmin, xmax=xmax,
365	ymin=ymin, ymax=ymax)
366	except:
367	raise
368	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
369
370
371	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
372	"""
373	perform fit for the current page and return chisqr,out and cov
374	@param engineName: type of fit to be performed
375	@param id: unique id corresponding to a fit problem(model, set of data)
376	@param model: model to fit
377
378	"""
379	#print "in single fitting"
380	#set an engine to perform fit
381	from sans.fit.Fitting import Fit
382	self.fitter= Fit(self._fit_engine)
383	#Setting an id to store model and data in fit engine
384	self.fit_id= 0
385	if id!=None:
386	self.fit_id= id
387
388	page_fitted=None
389	fit_problem=None
390	#Get information (model , data) related to the page on
391	#with the fit will be perform
392	current_pg=self.fit_panel.get_current_page()
393	simul_pg=self.fit_panel.GetPage(1 )
394	pars=[]
395	#for page, value in self.page_finder.iteritems():
396	if current_pg!= simul_pg:
397	# if value.get_scheduled() ==1 :
398	value = self.page_finder[current_pg]
399	metadata = value.get_data()
400	list = value.get_model()
401	model = list[0]
402	smearer= value.get_smearer()
403	print "single fit", model, smearer
404	#Create list of parameters for fitting used
405
406	templist=[]
407	try:
408	#templist=current_pg.get_param_list()
409	templist=current_pg.get_param_list()
410	for element in templist:
411	pars.append(str(element[0].GetLabelText()))
412	pars.sort()
413	print "single fit start pars:", pars
414	#Do the single fit
415	self.fitter.set_model(Model(model), self.fit_id, pars)
416	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
417
418	self.fitter.set_data(data=metadata,Uid=self.fit_id,
419	smearer=smearer,qmin= qmin,qmax=qmax,
420	ymin=ymin,ymax=ymax)
421	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
422	page_fitted=current_pg
423	#self.fit_id+=1
424	#self.schedule_for_fit( 0,value)
425	except:
426	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
427	return
428	# make sure to keep an alphabetic order
429	#of parameter names in the list
430	try:
431	# If a thread is already started, stop it
432	if self.calc_thread != None and self.calc_thread.isrunning():
433	self.calc_thread.stop()
434
435	self.calc_thread =FitThread(parent =self.parent,
436	fn= self.fitter,
437	pars= pars,
438	cpage= page_fitted,
439	qmin=qmin,
440	qmax=qmax,
441
442	completefn=self._single_fit_completed,
443	updatefn=None)
444	self.calc_thread.queue()
445	self.calc_thread.ready(2.5)
446	#while not self.done:
447	#print "when here"
448	# time.sleep(1)
449
450
451	except:
452	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
453	return
454
455	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
456	"""
457	perform fit for all the pages selected on simpage and return chisqr,out and cov
458	@param engineName: type of fit to be performed
459	@param id: unique id corresponding to a fit problem(model, set of data)
460	in park_integration
461	@param model: model to fit
462
463	"""
464	#set an engine to perform fit
465	from sans.fit.Fitting import Fit
466	self.fitter= Fit(self._fit_engine)
467	self.fit_id= 0
468	#Setting an id to store model and data
469	if id!=None:
470	self.fit_id= id
471
472
473	for page, value in self.page_finder.iteritems():
474	try:
475	if value.get_scheduled()==1:
476	metadata = value.get_data()
477	list = value.get_model()
478	model= list[0]
479	#Create dictionary of parameters for fitting used
480	cpage= page
481	print ""
482	pars = []
483	templist = []
484	templist = page.get_param_list()
485	for element in templist:
486	try:
487	name = str(element[0].GetLabelText())
488	pars.append(name)
489	except:
490	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
491	return
492	# need to check this print "new model "
493	"""
494	new_model=Model(model)
495	param=value.get_model_param()
496
497	if len(param)>0:
498	for item in param:
499	param_value = item[1]
500	param_name = item[0]
501	#print "fitting ", param,param_name, param_value
502
503	#new_model.set( model.getParam(param_name[0])= param_value)
504	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
505	#new_model.set( exec "%s"%(param_nam) = param_value)
506	new_model.parameterset[ param_name].set( param_value )
507	"""
508	#self.fitter.set_model(new_model, self.fit_id, pars)
509	print "sim-->model",metadata,model,self.fit_id, pars
510	self.fitter.set_model(Model(model), self.fit_id, pars)
511	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
512	print "sim---->value of problem",value.get_scheduled()
513	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
514	self.fit_id += 1
515	#self.schedule_for_fit( 0,value)
516	except:
517	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
518	return
519	#Do the simultaneous fit
520	try:
521	# If a thread is already started, stop it
522	if self.calc_thread != None and self.calc_thread.isrunning():
523	self.calc_thread.stop()
524	if self.fit_id==1:
525	self.calc_thread =FitThread(parent =self.parent,
526	fn= self.fitter,
527	qmin=qmin,
528	qmax=qmax,
529	ymin= ymin,
530	ymax= ymax,
531	cpage=cpage,
532	pars= pars,
533	completefn= self._simul_fit_completed,
534	updatefn=None)
535
536	else:
537	self.calc_thread =FitThread(parent =self.parent,
538	fn= self.fitter,
539	qmin=qmin,
540	qmax=qmax,
541	ymin= ymin,
542	ymax= ymax,
543	completefn= self._simul_fit_completed,
544	updatefn=None)
545	self.calc_thread.queue()
546	self.calc_thread.ready(2.5)
547
548	except:
549	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
550	return
551
552
553	def _onset_engine(self,event):
554	""" set engine to scipy"""
555	if self._fit_engine== 'park':
556	self._on_change_engine('scipy')
557	else:
558	self._on_change_engine('park')
559	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
560
561
562	def _on_change_engine(self, engine='park'):
563	"""
564	Allow to select the type of engine to perform fit
565	@param engine: the key work of the engine
566	"""
567	self._fit_engine = engine
568
569
570	def _on_model_panel(self, evt):
571	"""
572	react to model selection on any combo box or model menu.plot the model
573	"""
574
575	model = evt.model
576	name = evt.name
577
578	print "name fitting", name
579	sim_page=self.fit_panel.GetPage(1)
580	current_pg = self.fit_panel.get_current_page()
581	if current_pg != sim_page:
582	current_pg.set_panel(model)
583	#model.name = self.page_finder[current_pg].get_name()
584	#print "model name", model.name
585	model.name="M"+str(self.index_model)
586	try:
587	metadata=self.page_finder[current_pg].get_data()
588	M_name=model.name+"= "+name+"("+metadata.group_id+")"
589	except:
590	M_name=model.name+"= "+name
591	self.index_model += 1
592
593
594	# save model name
595
596	# save the name containing the data name with the appropriate model
597	self.page_finder[current_pg].set_model(model,M_name)
598	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
599	sim_page.add_model(self.page_finder)
600
601	def set_smearer(self,smearer):
602	current_pg=self.fit_panel.get_current_page()
603	self.page_finder[current_pg].set_smearer(smearer)
604
605	def redraw_model(self,qmin= None,qmax= None):
606	"""
607	Draw a theory according to model changes or data range.
608	@param qmin: the minimum value plotted for theory
609	@param qmax: the maximum value plotted for theory
610	"""
611	current_pg=self.fit_panel.get_current_page()
612	for page, value in self.page_finder.iteritems():
613	if page ==current_pg :
614	break
615	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
616
617	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
618	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
619	"""
620	Plot a theory given a model and data
621	@param model: the model from where the theory is derived
622	@param currpage: page in a dictionary referring to some data
623	"""
624	if self.fit_panel.GetPageCount() >1:
625	for page in self.page_finder.iterkeys():
626	if page==currpage :
627	data=self.page_finder[page].get_data()
628	list=self.page_finder[page].get_model()
629	model=list[0]
630	break
631	print "model in fitting",model
632	if data!=None and data.__class__.__name__ != 'Data2D':
633	theory = Theory1D(x=[], y=[])
634	theory.name = model.name
635	theory.group_id = data.group_id
636	"""
637	if hasattr(data, "id"):
638	import string
639	if string.find("Model",data.id )!=None:
640	#allow plotting on the same panel
641	theory.id =str(data.id )+" "+str(self.index_theory)
642	self.index_theory +=1
643	else:
644	"""
645	theory.id = "Model"
646
647	x_name, x_units = data.get_xaxis()
648	y_name, y_units = data.get_yaxis()
649	theory.xaxis(x_name, x_units)
650	theory.yaxis(y_name, y_units)
651	if qmin == None :
652	qmin = min(data.x)
653	if qmax == None :
654	qmax = max(data.x)
655	try:
656	tempx = qmin
657	tempy = model.run(qmin)
658	theory.x.append(tempx)
659	theory.y.append(tempy)
660	except :
661	wx.PostEvent(self.parent, StatusEvent(status="fitting \
662	skipping point x %g %s" %(qmin, sys.exc_value)))
663
664	for i in range(len(data.x)):
665	try:
666	if data.x[i]> qmin and data.x[i]< qmax:
667	tempx = data.x[i]
668	tempy = model.run(tempx)
669	theory.x.append(tempx)
670	theory.y.append(tempy)
671
672	except:
673	wx.PostEvent(self.parent, StatusEvent(status="fitting \
674	skipping point x %g %s" %(data.x[i], sys.exc_value)))
675	try:
676	tempx = qmax
677	tempy = model.run(qmax)
678	theory.x.append(tempx)
679	theory.y.append(tempy)
680	except:
681	wx.PostEvent(self.parent, StatusEvent(status="fitting \
682	skipping point x %g %s" %(qmin, sys.exc_value)) )
683	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
684	title=str(data.name)))
685	else:
686
687	theory=Data2D(data.data, data.err_data)
688	theory.name= model.name
689	if title !=None:
690	self.title = title
691	theory.id= self.title
692	theory.group_id= self.title+data.name
693	else:
694	self.title= "Analytical model 2D "
695	theory.id= "Model"
696	theory.group_id= "Model"+data.name
697	theory.x_bins= data.x_bins
698	theory.y_bins= data.y_bins
699	tempy=[]
700	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
701	if qmin==None:
702	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
703	if qmax==None:
704	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
705	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
706	if ymin==None:
707	ymin=data.ymin
708	if ymax==None:
709	ymax=data.ymax
710	if xmin ==None:
711	xmin=data.xmin
712	if xmax==None:
713	xmax=data.xmax
714
715	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
716	for j in range(len(data.y_bins)):
717	for i in range(len(data.x_bins)):
718	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
719	if tempqij>= qmin and tempqij<= qmax:
720	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
721	else:
722	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
723	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
724	#print "fitting : plot_helper:", theory.image
725	#print "fitting : plot_helper:",theory.image
726	theory.detector= data.detector
727	theory.source= data.source
728
729	theory.qmin= qmin
730	theory.qmax= qmax
731	theory.ymin= ymin
732	theory.ymax= ymax
733	theory.xmin= xmin
734	theory.xmax= xmax
735
736	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
737	title=self.title +str(data.name)))
738
739
740	def _on_model_menu(self, evt):
741	"""
742	Plot a theory from a model selected from the menu
743	"""
744	name = evt.model.__name__
745	if hasattr(evt.model, "name"):
746	name = evt.model.name
747	print "on model menu", name
748	model=evt.model()
749	description=model.description
750
751	# Create a model page. If a new page is created, the model
752	# will be plotted automatically. If a page already exists,
753	# the content will be updated and the plot refreshed
754	self.fit_panel.add_model_page(model,description,name,topmenu=True)
755
756	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
757	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
758	"""
759	draw model with default data value
760	"""
761	if data !=None:
762	self.redraw_model(qmin,qmax)
763	return
764	self._draw_model2D(model=model,
765	description=model.description,
766	enable2D= enable2D,
767	qmin=qmin,
768	qmax=qmax,
769	qstep=qstep)
770	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
771
772	def _draw_model1D(self,model,name,description=None, enable1D=True,
773	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
774
775	if enable1D:
776	x= numpy.linspace(start= qmin,
777	stop= qmax,
778	num= qstep,
779	endpoint=True
780	)
781	xlen= len(x)
782	y = numpy.zeros(xlen)
783	if not enable1D:
784	for i in range(xlen):
785	y[i] = model.run(x[i])
786
787	try:
788	new_plot = Theory1D(x, y)
789
790	new_plot.name = name
791	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
792	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
793	new_plot.id = "Model"
794	new_plot.group_id ="Model"
795	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
796	except:
797	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
798	#raise
799	else:
800	for i in range(xlen):
801	y[i] = model.run(x[i])
802	#print x, y
803	try:
804	new_plot = Theory1D(x, y)
805	print "draw model 1D", name
806	new_plot.name = name
807	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
808	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
809	new_plot.id ="Model"
810	new_plot.group_id ="Model"
811
812	# Pass the reset flag to let the plotting event handler
813	# know that we are replacing the whole plot
814	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
815	title="Analytical model 1D ", reset=True ))
816
817	except:
818	#raise
819	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
820	def update(self, output,time):
821	pass
822
823	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
824
825	wx.PostEvent(self.parent, StatusEvent(status="Calc \
826	complete in %g sec" % elapsed, type="stop"))
827	#print "complete",output, model,qmin, qmax
828	data = output
829	temp= numpy.zeros(numpy.shape(data))
830	temp[temp==0]=1
831	theory= Data2D(image=data, err_image=temp)
832
833	from DataLoader.data_info import Detector, Source
834
835	detector = Detector()
836	theory.detector=[]
837	theory.detector.append(detector)
838
839	theory.detector[0].distance=1e+32#13705.0
840	theory.source= Source()
841	theory.source.wavelength=2*math.pi/1e+32#8.4
842	theory.x_bins =[]
843	theory.y_bins =[]
844	#Now qmax is xmax.
845	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
846	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
847	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
848	theory.detector[0].beam_center.x= qmax
849	theory.detector[0].beam_center.y= qmax
850	#print "xmax,qmax",xmax,qmax
851	# compute x_bins and y_bins
852	# Qx and Qy vectors
853
854	distance = theory.detector[0].distance
855	pixel = qstep/2-1
856	theta = pixel / distance / qstep#100.0
857	wavelength = theory.source.wavelength
858	pixel_width_x = theory.detector[0].pixel_size.x
859	pixel_width_y = theory.detector[0].pixel_size.y
860	center_x = theory.detector[0].beam_center.x/pixel_width_x
861	center_y = theory.detector[0].beam_center.y/pixel_width_y
862
863
864	size_x, size_y= numpy.shape(theory.data)
865	#print "size_x,size_y",size_x, size_y
866	#This case, q and x are equivalent to each other.
867	for i_x in range(size_x):
868	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
869	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
870	theory.x_bins.append(qx)
871	for i_y in range(size_y):
872	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
873	qy =4.0math.pi/wavelength math.tan(theta/2.0)
874	theory.y_bins.append(qy)
875
876	#theory.err_data= numpy.
877	theory.name= model.name
878	theory.group_id ="Model"
879	theory.id ="Model"
880
881
882
883	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
884	theory.xmax= qmax#/math.sqrt(2)
885	theory.ymin= -qmax#/math.sqrt(2)
886	theory.ymax= qmax#/math.sqrt(2)
887
888	print "model draw comptele xmax",theory.xmax,model.name
889	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
890	title="Analytical model 2D ", reset=True ))
891
892
893
894	def _draw_model2D(self,model,description=None, enable2D=False,
895	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
896
897	x= numpy.linspace(start= -1*qmax,
898	stop= qmax,
899	num= qstep,
900	endpoint=True )
901	y = numpy.linspace(start= -1*qmax,
902	stop= qmax,
903	num= qstep,
904	endpoint=True )
905
906	lx = len(x)
907	#print x
908	data=numpy.zeros([len(x),len(y)])
909	self.model= model
910	if enable2D:
911	from sans.guiframe.model_thread import Calc2D
912	self.calc_thread = Calc2D(parent =self.parent,x=x,
913	y=y,model= self.model,
914	qmin=qmin,
915	qmax=qmax,
916	qstep=qstep,
917	completefn=self.complete,
918	updatefn=None)
919	self.calc_thread.queue()
920	self.calc_thread.ready(2.5)
921
922	def show_panel2D(self, id=None ):
923	self.parent.show_panel(self.model2D_id)
924
925
926	if __name__ == "__main__":
927	i = Plugin()
928
929
930
931

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 3215d32

Download in other formats: