fitting.py @ 202a7dc3

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 202a7dc3 was 202a7dc3, checked in by Gervaise Alina <gervyh@…>, 16 years ago
statusbar message added
Property mode set to `100644`
File size: 37.2 KB

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1	import os,os.path, re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from copy import deepcopy
6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL
10
11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models,modelpage
16	import fitpage1D
17	import park
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.1
21	DEFAULT_NPTS = 50
22	import time
23	import thread
24	print "main",thread.get_ident()
25
26	class Plugin:
27	"""
28	Fitting plugin is used to perform fit
29	"""
30	def __init__(self):
31	## Plug-in name
32	self.sub_menu = "Fitting"
33
34	## Reference to the parent window
35	self.parent = None
36	self.menu_mng = models.ModelManager()
37	## List of panels for the simulation perspective (names)
38	self.perspective = []
39	self.mypanels=[]
40	self.calc_thread = None
41	self.done = False
42	# Start with a good default
43	self.elapsed = 0.022
44	self.fitter = None
45
46	#Flag to let the plug-in know that it is running standalone
47	self.standalone=True
48	## Fit engine
49	self._fit_engine = 'scipy'
50	self.enable_model2D=False
51	self.fit_id= 0
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,
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 in %g sec" % elapsed, 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 "fitting: single fit pars ", pars
302	for name in pars:
303	if result.pvec.__class__==numpy.float64:
304	model.setParam(name,result.pvec)
305	else:
306	model.setParam(name,result.pvec[i])
307	# print "fitting: single fit", name, result.pvec[i]
308	i += 1
309	print "fitting result : chisqr",result.fitness
310	print "fitting result : pvec",result.pvec
311	print "fitting result : stderr",result.stderr
312	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
313
314	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
315	#title="Fitted model 2D "
316	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
317	ymin=ymin, ymax=ymax,
318	xmin=xmin, xmax=xmax,title=None)
319	except:
320	#raise
321	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
322
323
324	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
325	xmin=None, xmax=None, ymin=None, ymax=None):
326	"""
327	Parameter estimation completed,
328	display the results to the user
329	@param alpha: estimated best alpha
330	@param elapsed: computation time
331	"""
332	wx.PostEvent(self.parent, StatusEvent(status="Sinmultaneous fit \
333	complete in %g sec" % elapsed, type="stop"))
334	try:
335	for page, value in self.page_finder.iteritems():
336	if value.get_scheduled()==1:
337	#fitdata = value.get_data()
338	list = value.get_model()
339	model= list[0]
340
341	small_out = []
342	small_cov = []
343	i = 0
344	#Separate result in to data corresponding to each page
345	for p in result.parameters:
346	model_name,param_name = self.split_string(p.name)
347	if model.name == model_name:
348	small_out.append(p.value )
349	small_cov.append(p.stderr)
350	model.setParam(param_name,p.value)
351	# Display result on each page
352	page.onsetValues(result.fitness, small_out,small_cov)
353	#Replot model
354	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
355	xmin=xmin, xmax=xmax,
356	ymin=ymin, ymax=ymax)
357	except:
358	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
359
360
361	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
362	"""
363	perform fit for the current page and return chisqr,out and cov
364	@param engineName: type of fit to be performed
365	@param id: unique id corresponding to a fit problem(model, set of data)
366	@param model: model to fit
367
368	"""
369	#print "in single fitting"
370	#set an engine to perform fit
371	from sans.fit.Fitting import Fit
372	self.fitter= Fit(self._fit_engine)
373	#Setting an id to store model and data in fit engine
374	if id!=None:
375	self.fit_id= id
376
377	page_fitted=None
378	fit_problem=None
379	#Get information (model , data) related to the page on
380	#with the fit will be perform
381	current_pg=self.fit_panel.get_current_page()
382	simul_pg=self.fit_panel.GetPage(1 )
383	pars=[]
384	#for page, value in self.page_finder.iteritems():
385	if current_pg!= simul_pg:
386	# if value.get_scheduled() ==1 :
387	value = self.page_finder[current_pg]
388	metadata = value.get_data()
389	list = value.get_model()
390	model = list[0]
391	smearer= value.get_smearer()
392	print "single fit", model, smearer
393	#Create list of parameters for fitting used
394
395	templist=[]
396	try:
397	#templist=current_pg.get_param_list()
398	templist=current_pg.get_param_list()
399	for element in templist:
400	pars.append(str(element[0].GetLabelText()))
401	pars.sort()
402	print "single fit start pars:", pars
403	#Do the single fit
404	self.fitter.set_model(Model(model), self.fit_id, pars)
405	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
406
407	self.fitter.set_data(data=metadata,Uid=self.fit_id,
408	smearer=smearer,qmin= qmin,qmax=qmax,
409	ymin=ymin,ymax=ymax)
410	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
411	page_fitted=current_pg
412	self.fit_id+=1
413	#self.schedule_for_fit( 0,value)
414	except:
415	raise
416	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
417	return
418	# make sure to keep an alphabetic order
419	#of parameter names in the list
420	try:
421	# If a thread is already started, stop it
422	if self.calc_thread != None and self.calc_thread.isrunning():
423	self.calc_thread.stop()
424
425	self.calc_thread =FitThread(parent =self.parent,
426	fn= self.fitter,
427	pars= pars,
428	cpage= page_fitted,
429	qmin=qmin,
430	qmax=qmax,
431
432	completefn=self._single_fit_completed,
433	updatefn=None)
434	self.calc_thread.queue()
435	self.calc_thread.ready(2.5)
436	#while not self.done:
437	#print "when here"
438	# time.sleep(1)
439
440
441	except:
442	raise
443	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
444	return
445
446	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
447	"""
448	perform fit for all the pages selected on simpage and return chisqr,out and cov
449	@param engineName: type of fit to be performed
450	@param id: unique id corresponding to a fit problem(model, set of data)
451	in park_integration
452	@param model: model to fit
453
454	"""
455	#set an engine to perform fit
456	from sans.fit.Fitting import Fit
457	self.fitter= Fit(self._fit_engine)
458
459	#Setting an id to store model and data
460	if id!=None:
461	self.fit_id= id
462
463
464	for page, value in self.page_finder.iteritems():
465	try:
466	if value.get_scheduled()==1:
467	metadata = value.get_data()
468	list = value.get_model()
469	model= list[0]
470	#Create dictionary of parameters for fitting used
471	pars = []
472	templist = []
473	templist = page.get_param_list()
474	for element in templist:
475	try:
476	name = str(element[0].GetLabelText())
477	pars.append(name)
478	except:
479	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
480	return
481	# need to check this print "new model "
482	new_model=Model(model)
483	param=value.get_model_param()
484
485	if len(param)>0:
486	for item in param:
487	param_value = item[1]
488	param_name = item[0]
489	#print "fitting ", param,param_name, param_value
490
491	#new_model.set( model.getParam(param_name[0])= param_value)
492	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
493	#new_model.set( exec "%s"%(param_nam) = param_value)
494	new_model.parameterset[ param_name].set( param_value )
495
496	self.fitter.set_model(new_model, self.fit_id, pars)
497	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
498	print "sim---->value of problem",value.get_scheduled()
499	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
500	self.fit_id += 1
501	self.schedule_for_fit( 0,value)
502	except:
503	#raise
504	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
505	return
506	#Do the simultaneous fit
507	try:
508	# If a thread is already started, stop it
509	if self.calc_thread != None and self.calc_thread.isrunning():
510	self.calc_thread.stop()
511
512	self.calc_thread =FitThread(parent =self.parent,
513	fn= self.fitter,
514	qmin=qmin,
515	qmax=qmax,
516	ymin= ymin,
517	ymax= ymax,
518	completefn= self._simul_fit_completed,
519	updatefn=None)
520	self.calc_thread.queue()
521	self.calc_thread.ready(2.5)
522
523	except:
524	#raise
525	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
526	return
527
528
529	def _onset_engine(self,event):
530	""" set engine to scipy"""
531	if self._fit_engine== 'park':
532	self._on_change_engine('scipy')
533	else:
534	self._on_change_engine('park')
535	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
536
537
538	def _on_change_engine(self, engine='park'):
539	"""
540	Allow to select the type of engine to perform fit
541	@param engine: the key work of the engine
542	"""
543	self._fit_engine = engine
544
545
546	def _on_model_panel(self, evt):
547	"""
548	react to model selection on any combo box or model menu.plot the model
549	"""
550
551	model = evt.model
552	name = evt.name
553
554	print "name fitting", name
555	sim_page=self.fit_panel.GetPage(1)
556	current_pg = self.fit_panel.get_current_page()
557	if current_pg != sim_page:
558	current_pg.set_panel(model)
559	#model.name = self.page_finder[current_pg].get_name()
560	#print "model name", model.name
561	model.name="M"+str(self.index_model)
562	try:
563	metadata=self.page_finder[current_pg].get_data()
564	M_name=model.name+"= "+name+"("+metadata.group_id+")"
565	except:
566	M_name=model.name+"= "+name
567	self.index_model += 1
568
569
570	# save model name
571
572	# save the name containing the data name with the appropriate model
573	self.page_finder[current_pg].set_model(model,M_name)
574	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
575	sim_page.add_model(self.page_finder)
576
577	def set_smearer(self,smearer):
578	current_pg=self.fit_panel.get_current_page()
579	self.page_finder[current_pg].set_smearer(smearer)
580
581	def redraw_model(self,qmin= None,qmax= None):
582	"""
583	Draw a theory according to model changes or data range.
584	@param qmin: the minimum value plotted for theory
585	@param qmax: the maximum value plotted for theory
586	"""
587	current_pg=self.fit_panel.get_current_page()
588	for page, value in self.page_finder.iteritems():
589	if page ==current_pg :
590	break
591	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
592
593	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
594	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
595	"""
596	Plot a theory given a model and data
597	@param model: the model from where the theory is derived
598	@param currpage: page in a dictionary referring to some data
599	"""
600	if self.fit_panel.GetPageCount() >1:
601	for page in self.page_finder.iterkeys():
602	if page==currpage :
603	data=self.page_finder[page].get_data()
604	list=self.page_finder[page].get_model()
605	model=list[0]
606	break
607	print "model in fitting",model
608	if data!=None and data.__class__.__name__ != 'Data2D':
609	theory = Theory1D(x=[], y=[])
610	theory.name = model.name
611	theory.group_id = data.group_id
612	"""
613	if hasattr(data, "id"):
614	import string
615	if string.find("Model",data.id )!=None:
616	#allow plotting on the same panel
617	theory.id =str(data.id )+" "+str(self.index_theory)
618	self.index_theory +=1
619	else:
620	"""
621	theory.id = "Model"
622
623	x_name, x_units = data.get_xaxis()
624	y_name, y_units = data.get_yaxis()
625	theory.xaxis(x_name, x_units)
626	theory.yaxis(y_name, y_units)
627	if qmin == None :
628	qmin = min(data.x)
629	if qmax == None :
630	qmax = max(data.x)
631	try:
632	tempx = qmin
633	tempy = model.run(qmin)
634	theory.x.append(tempx)
635	theory.y.append(tempy)
636	except :
637	wx.PostEvent(self.parent, StatusEvent(status="fitting \
638	skipping point x %g %s" %(qmin, sys.exc_value)))
639
640	for i in range(len(data.x)):
641	try:
642	if data.x[i]> qmin and data.x[i]< qmax:
643	tempx = data.x[i]
644	tempy = model.run(tempx)
645	theory.x.append(tempx)
646	theory.y.append(tempy)
647
648	except:
649	wx.PostEvent(self.parent, StatusEvent(status="fitting \
650	skipping point x %g %s" %(data.x[i], sys.exc_value)))
651	try:
652	tempx = qmax
653	tempy = model.run(qmax)
654	theory.x.append(tempx)
655	theory.y.append(tempy)
656	except:
657	wx.PostEvent(self.parent, StatusEvent(status="fitting \
658	skipping point x %g %s" %(qmin, sys.exc_value)) )
659	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
660	title=str(data.name)))
661	else:
662
663	theory=Data2D(data.data, data.err_data)
664	theory.name= model.name
665	if title !=None:
666	self.title = title
667	theory.id= self.title
668	theory.group_id= self.title+data.name
669	else:
670	self.title= "Analytical model 2D "
671	theory.id= "Model"
672	theory.group_id= "Model"+data.name
673	theory.x_bins= data.x_bins
674	theory.y_bins= data.y_bins
675	tempy=[]
676	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
677	if qmin==None:
678	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
679	if qmax==None:
680	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
681	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
682	if ymin==None:
683	ymin=data.ymin
684	if ymax==None:
685	ymax=data.ymax
686	if xmin ==None:
687	xmin=data.xmin
688	if xmax==None:
689	xmax=data.xmax
690
691	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
692	for j in range(len(data.y_bins)):
693	for i in range(len(data.x_bins)):
694	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
695	if tempqij>= qmin and tempqij<= qmax:
696	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
697	else:
698	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
699	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
700	#print "fitting : plot_helper:", theory.image
701	#print "fitting : plot_helper:",theory.image
702	theory.detector= data.detector
703	theory.source= data.source
704
705	theory.qmin= qmin
706	theory.qmax= qmax
707	theory.ymin= ymin
708	theory.ymax= ymax
709	theory.xmin= xmin
710	theory.xmax= xmax
711
712	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
713	title=self.title +str(data.name)))
714
715
716	def _on_model_menu(self, evt):
717	"""
718	Plot a theory from a model selected from the menu
719	"""
720	name = evt.model.__name__
721	if hasattr(evt.model, "name"):
722	name = evt.model.name
723	print "on model menu", name
724	model=evt.model()
725	description=model.description
726
727	# Create a model page. If a new page is created, the model
728	# will be plotted automatically. If a page already exists,
729	# the content will be updated and the plot refreshed
730	self.fit_panel.add_model_page(model,description,name,topmenu=True)
731
732	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
733	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
734	"""
735	draw model with default data value
736	"""
737	if data !=None:
738	self.redraw_model(qmin,qmax)
739	return
740	self._draw_model2D(model=model,
741	description=model.description,
742	enable2D= enable2D,
743	qmin=qmin,
744	qmax=qmax,
745	qstep=qstep)
746	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
747
748	def _draw_model1D(self,model,name,description=None, enable1D=True,
749	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
750
751	if enable1D:
752	x= numpy.linspace(start= qmin,
753	stop= qmax,
754	num= qstep,
755	endpoint=True
756	)
757	xlen= len(x)
758	y = numpy.zeros(xlen)
759	if not enable1D:
760	for i in range(xlen):
761	y[i] = model.run(x[i])
762
763	try:
764	new_plot = Theory1D(x, y)
765
766	new_plot.name = name
767	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
768	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
769	new_plot.id = "Model"
770	new_plot.group_id ="Model"
771	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
772	except:
773	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
774	#raise
775	else:
776	for i in range(xlen):
777	y[i] = model.run(x[i])
778	#print x, y
779	try:
780	new_plot = Theory1D(x, y)
781	print "draw model 1D", name
782	new_plot.name = name
783	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
784	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
785	new_plot.id ="Model"
786	new_plot.group_id ="Model"
787
788	# Pass the reset flag to let the plotting event handler
789	# know that we are replacing the whole plot
790	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
791	title="Analytical model 1D ", reset=True ))
792
793	except:
794	#raise
795	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
796	def update(self, output,time):
797	pass
798
799	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
800
801	wx.PostEvent(self.parent, StatusEvent(status="Calc \
802	complete in %g sec" % elapsed, type="stop"))
803	#print "complete",output, model,qmin, qmax
804	data = output
805	temp= numpy.zeros(numpy.shape(data))
806	temp[temp==0]=1
807	theory= Data2D(image=data, err_image=temp)
808
809	from DataLoader.data_info import Detector, Source
810
811	detector = Detector()
812	theory.detector=[]
813	theory.detector.append(detector)
814
815	theory.detector[0].distance=1e+32#13705.0
816	theory.source= Source()
817	theory.source.wavelength=2*math.pi/1e+32#8.4
818	theory.x_bins =[]
819	theory.y_bins =[]
820	#Now qmax is xmax.
821	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
822	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
823	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
824	theory.detector[0].beam_center.x= qmax
825	theory.detector[0].beam_center.y= qmax
826	#print "xmax,qmax",xmax,qmax
827	# compute x_bins and y_bins
828	# Qx and Qy vectors
829
830	distance = theory.detector[0].distance
831	pixel = qstep/2-1
832	theta = pixel / distance / qstep#100.0
833	wavelength = theory.source.wavelength
834	pixel_width_x = theory.detector[0].pixel_size.x
835	pixel_width_y = theory.detector[0].pixel_size.y
836	center_x = theory.detector[0].beam_center.x/pixel_width_x
837	center_y = theory.detector[0].beam_center.y/pixel_width_y
838
839
840	size_x, size_y= numpy.shape(theory.data)
841	#print "size_x,size_y",size_x, size_y
842	#This case, q and x are equivalent to each other.
843	for i_x in range(size_x):
844	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
845	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
846	theory.x_bins.append(qx)
847	for i_y in range(size_y):
848	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
849	qy =4.0math.pi/wavelength math.tan(theta/2.0)
850	theory.y_bins.append(qy)
851
852	#theory.err_data= numpy.
853	theory.name= model.name
854	theory.group_id ="Model"
855	theory.id ="Model"
856
857
858
859	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
860	theory.xmax= qmax#/math.sqrt(2)
861	theory.ymin= -qmax#/math.sqrt(2)
862	theory.ymax= qmax#/math.sqrt(2)
863
864	print "model draw comptele xmax",theory.xmax,model.name
865	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
866	title="Analytical model 2D ", reset=True ))
867
868
869
870	def _draw_model2D(self,model,description=None, enable2D=False,
871	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
872
873	x= numpy.linspace(start= -1*qmax,
874	stop= qmax,
875	num= qstep,
876	endpoint=True )
877	y = numpy.linspace(start= -1*qmax,
878	stop= qmax,
879	num= qstep,
880	endpoint=True )
881
882	lx = len(x)
883	#print x
884	data=numpy.zeros([len(x),len(y)])
885	self.model= model
886	if enable2D:
887	from sans.guiframe.model_thread import Calc2D
888	self.calc_thread = Calc2D(parent =self.parent,x=x,
889	y=y,model= self.model,
890	qmin=qmin,
891	qmax=qmax,
892	qstep=qstep,
893	completefn=self.complete,
894	updatefn=None)
895	self.calc_thread.queue()
896	self.calc_thread.ready(2.5)
897
898	def show_panel2D(self, id=None ):
899	self.parent.show_panel(self.model2D_id)
900
901
902	if __name__ == "__main__":
903	i = Plugin()
904
905
906
907

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 202a7dc3

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