fitting.py @ cce33b3

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 cce33b3 was cce33b3, checked in by Gervaise Alina <gervyh@…>, 15 years ago
status bar messaged added
Property mode set to `100644`
File size: 40.9 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,ERR_DATA
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	# list of selcted data
52	self.selected_data_list=[]
53	# Log startup
54	logging.info("Fitting plug-in started")
55	# model 2D view
56	self.model2D_id=None
57	self.err_dy={}
58
59	def _on_data_error(self, event):
60	self.err_dy= event.err_dy
61
62	def populate_menu(self, id, owner):
63	"""
64	Create a menu for the Fitting plug-in
65	@param id: id to create a menu
66	@param owner: owner of menu
67	@ return : list of information to populate the main menu
68	"""
69	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
70	#Menu for fitting
71	self.menu1 = wx.Menu()
72	#id1 = wx.NewId()
73	#self.menu1.Append(id1, '&fit panel')
74	#wx.EVT_MENU(owner, id1, self.on_perspective)
75	#Set park engine
76	id3 = wx.NewId()
77	self.menu1.AppendCheckItem(id3, "park")
78	wx.EVT_MENU(owner, id3, self._onset_engine)
79
80	#menu for model
81	menu2 = wx.Menu()
82
83	self.menu_mng.populate_menu(menu2, owner)
84	id2 = wx.NewId()
85	owner.Bind(models.EVT_MODEL,self._on_model_menu)
86	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
87	self.fit_panel.set_owner(owner)
88	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
89	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
90	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
91	#create menubar items
92	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
93
94
95	def help(self, evt):
96	"""
97	Show a general help dialog.
98	TODO: replace the text with a nice image
99	"""
100	#from helpDialog import HelpWindow
101	#dialog = HelpWindow(None, -1, 'HelpWindow')
102	#if dialog.ShowModal() == wx.ID_OK:
103	# pass
104	#dialog.Destroy()
105	from helpPanel import HelpWindow
106	frame = HelpWindow(None, -1, 'HelpWindow')
107	frame.Show(True)
108
109
110
111
112	def get_context_menu(self, graph=None):
113	"""
114	Get the context menu items available for P(r)
115	@param graph: the Graph object to which we attach the context menu
116	@return: a list of menu items with call-back function
117	"""
118	self.graph=graph
119	for item in graph.plottables:
120	if item.__class__.__name__ is "Data2D":
121	return [["Select data for Fitting",\
122	"Dialog with fitting parameters ", self._onSelect]]
123	else:
124	#if item.name==graph.selected_plottable and\
125	# item.__class__.__name__ is "Data1D":
126	if item.name==graph.selected_plottable :
127	return [["Select data for Fitting", \
128	"Dialog with fitting parameters ", self._onSelect]]
129	return []
130
131
132	def get_panels(self, parent):
133	"""
134	Create and return a list of panel objects
135	"""
136	self.parent = parent
137	# Creation of the fit panel
138	self.fit_panel = FitPanel(self.parent, -1)
139	#Set the manager forthe main panel
140	self.fit_panel.set_manager(self)
141	# List of windows used for the perspective
142	self.perspective = []
143	self.perspective.append(self.fit_panel.window_name)
144	# take care of saving data, model and page associated with each other
145	self.page_finder = {}
146	#index number to create random model name
147	self.index_model = 0
148	self.index_theory= 0
149	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
150	self.parent.Bind( ERR_DATA, self._on_data_error)
151
152	#create the fitting panel
153	#return [self.fit_panel]
154
155	self.mypanels.append(self.fit_panel)
156	return self.mypanels
157
158
159	def _on_model2D_show(self, event ):
160	print "model2D get the id ", event.id
161
162
163	def _on_slicer_event(self, event):
164	print "fitting:slicer event ", event.panel
165	if event.panel!=None:
166	new_panel = event.panel
167	# Set group ID if available
168	event_id = self.parent.popup_panel(new_panel)
169	self.menu1.Append(event_id, new_panel.window_caption,
170	"Show %s plot panel" % new_panel.window_caption)
171	# Set UID to allow us to reference the panel later
172	new_panel.uid = event_id
173	new_panel
174	self.mypanels.append(new_panel)
175	return
176	def _on_show_panel(self, event):
177	print "_on_show_panel: fitting"
178
179	def get_perspective(self):
180	"""
181	Get the list of panel names for this perspective
182	"""
183	return self.perspective
184
185
186	def on_perspective(self, event):
187	"""
188	Call back function for the perspective menu item.
189	We notify the parent window that the perspective
190	has changed.
191	"""
192	self.parent.set_perspective(self.perspective)
193
194
195	def post_init(self):
196	"""
197	Post initialization call back to close the loose ends
198	[Somehow openGL needs this call]
199	"""
200	self.parent.set_perspective(self.perspective)
201
202	def copy_data(self, item, dy):
203	detector=None
204	source=None
205	dxl=None
206	dxw=None
207	if hasattr(item, "dxl"):
208	dxl = item.dxl
209	if hasattr(item, "dxw"):
210	dxw = item.dxw
211	if hasattr(item, "detector"):
212	detector =item.detector
213	if hasattr(item, "source"):
214	source =item.source
215	from sans.guiframe import dataFitting
216	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
217	data.name=item.name
218	data.detector=detector
219	data.source= source
220	return data
221
222	def _onSelect(self,event):
223	"""
224	when Select data to fit a new page is created .Its reference is
225	added to self.page_finder
226	"""
227	self.panel = event.GetEventObject()
228	for item in self.panel.graph.plottables:
229	if item.name == self.panel.graph.selected_plottable:
230	if len(self.err_dy)>0:
231	if item.name in self.err_dy.iterkeys():
232	dy= self.err_dy[item.name]
233	data= self.copy_data(item, dy)
234	else:
235	data= self.copy_data(item, dy)
236	else:
237	if item.dy==None:
238	dy= numpy.zeros(len(item.y))
239	dy[dy==0]=1
240	data= self.copy_data(item, dy)
241	else:
242	data= self.copy_data(item, dy)
243
244
245	if item.name == self.panel.graph.selected_plottable or\
246	item.__class__.__name__ is "Data2D":
247	#find a name for the page created for notebook
248	print "fitting", self.panel
249	try:
250
251	#page = self.fit_panel.add_fit_page(item)
252	page = self.fit_panel.add_fit_page(data)
253	#page, model_name = self.fit_panel.add_fit_page(item)
254	# add data associated to the page created
255
256	if page !=None:
257	#create a fitproblem storing all link to data,model,page creation
258	self.page_finder[page]= FitProblem()
259	#self.page_finder[page].save_model_name(model_name)
260	self.page_finder[page].add_plotted_data(item)
261	self.page_finder[page].add_fit_data(data)
262
263
264	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
265	else:
266	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
267	except:
268	raise
269	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
270	#%sys.exc_value))
271
272
273	def schedule_for_fit(self,value=0,fitproblem =None):
274	"""
275
276	"""
277	if fitproblem !=None:
278	fitproblem.schedule_tofit(value)
279	else:
280	current_pg=self.fit_panel.get_current_page()
281	for page, val in self.page_finder.iteritems():
282	if page ==current_pg :
283	val.schedule_tofit(value)
284	break
285
286
287	def get_page_finder(self):
288	""" @return self.page_finder used also by simfitpage.py"""
289	return self.page_finder
290
291
292	def set_page_finder(self,modelname,names,values):
293	"""
294	Used by simfitpage.py to reset a parameter given the string constrainst.
295	@param modelname: the name ot the model for with the parameter has to reset
296	@param value: can be a string in this case.
297	@param names: the paramter name
298	@note: expecting park used for fit.
299	"""
300	sim_page=self.fit_panel.GetPage(1)
301	for page, value in self.page_finder.iteritems():
302	if page != sim_page:
303	list=value.get_model()
304	model=list[0]
305	print "fitting",model.name,modelname, values
306	if model.name== modelname:
307	value.set_model_param(names,values)
308	break
309
310
311
312	def split_string(self,item):
313	"""
314	receive a word containing dot and split it. used to split parameterset
315	name into model name and parameter name example:
316	paramaterset (item) = M1.A
317	@return model_name =M1 , parameter name =A
318	"""
319	if string.find(item,".")!=-1:
320	param_names= re.split("\.",item)
321	model_name=param_names[0]
322	param_name=param_names[1]
323	return model_name,param_name
324
325
326	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
327	ymin=None, ymax=None, xmin=None, xmax=None):
328	"""
329	Display fit result on one page of the notebook.
330	@param result: result of fit
331	@param pars: list of names of parameters fitted
332	@param current_pg: the page where information will be displayed
333	@param qmin: the minimum value of x to replot the model
334	@param qmax: the maximum value of x to replot model
335
336	"""
337
338	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
339	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
340	complete " , type="stop"))
341	try:
342	for page, value in self.page_finder.iteritems():
343	if page==cpage :
344	#fitdata = value.get_data()
345	list = value.get_model()
346	model= list[0]
347	break
348	i = 0
349	print "single-->result",pars,cpage,str(result),result.parameters,result.fitness,result.stderr
350	#print "fitting: single fit pars ", pars
351	for name in pars:
352	if result.pvec.__class__==numpy.float64:
353	model.setParam(name,result.pvec)
354	else:
355	model.setParam(name,result.pvec[i])
356	# print "fitting: single fit", name, result.pvec[i]
357	i += 1
358	print "fitting result : chisqr",result.fitness
359	print "fitting result : pvec",result.pvec
360	print "fitting result : stderr",result.stderr
361	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
362
363	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
364	#title="Fitted model 2D "
365	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
366	ymin=ymin, ymax=ymax,
367	xmin=xmin, xmax=xmax,title=None)
368	except:
369	#raise
370	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
371	return
372
373	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
374	xmin=None, xmax=None, ymin=None, ymax=None):
375	"""
376	Parameter estimation completed,
377	display the results to the user
378	@param alpha: estimated best alpha
379	@param elapsed: computation time
380	"""
381	if cpage!=None:
382	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
383	qmin=qmin,qmax=qmax,
384	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
385	return
386	else:
387	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
388	complete ", type="stop"))
389	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
390
391	try:
392	for page, value in self.page_finder.iteritems():
393	if value.get_scheduled()==1:
394	#fitdata = value.get_data()
395	list = value.get_model()
396	model= list[0]
397
398	small_out = []
399	small_cov = []
400	i = 0
401	#Separate result in to data corresponding to each page
402	for p in result.parameters:
403	model_name,param_name = self.split_string(p.name)
404	if model.name == model_name:
405	small_out.append(p.value )
406	if p.stderr==None:
407	p.stderr=numpy.nan
408	small_cov.append(p.stderr)
409	model.setParam(param_name,p.value)
410	# Display result on each page
411	#print "mmmm",p.value,p.stderr
412	page.onsetValues(result.fitness, small_out,small_cov)
413	#print "out,err",small_out,small_cov
414	#Replot model
415	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
416	xmin=xmin, xmax=xmax,
417	ymin=ymin, ymax=ymax)
418	except:
419	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
420	return
421
422	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
423	"""
424	perform fit for the current page and return chisqr,out and cov
425	@param engineName: type of fit to be performed
426	@param id: unique id corresponding to a fit problem(model, set of data)
427	@param model: model to fit
428
429	"""
430	#print "in single fitting"
431	#set an engine to perform fit
432	from sans.fit.Fitting import Fit
433	self.fitter= Fit(self._fit_engine)
434	#Setting an id to store model and data in fit engine
435	self.fit_id= 0
436	if id!=None:
437	self.fit_id= id
438
439	page_fitted=None
440	fit_problem=None
441	#Get information (model , data) related to the page on
442	#with the fit will be perform
443	current_pg=self.fit_panel.get_current_page()
444	simul_pg=self.fit_panel.GetPage(1 )
445	pars=[]
446	#for page, value in self.page_finder.iteritems():
447	if current_pg!= simul_pg:
448	# if value.get_scheduled() ==1 :
449	value = self.page_finder[current_pg]
450	metadata = value.get_fit_data()
451	list = value.get_model()
452	model = list[0]
453	smearer= value.get_smearer()
454	print "single fit", model, smearer
455	#Create list of parameters for fitting used
456
457	templist=[]
458	try:
459	#templist=current_pg.get_param_list()
460	templist=current_pg.get_param_list()
461	for element in templist:
462	pars.append(str(element[0].GetLabelText()))
463	pars.sort()
464	print "single fit start pars:", pars
465	#Do the single fit
466	self.fitter.set_model(Model(model), self.fit_id, pars)
467	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
468
469	self.fitter.set_data(data=metadata,Uid=self.fit_id,
470	smearer=smearer,qmin= qmin,qmax=qmax,
471	ymin=ymin,ymax=ymax)
472	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
473	page_fitted=current_pg
474	#self.fit_id+=1
475	#self.schedule_for_fit( 0,value)
476	except:
477	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
478	return
479	# make sure to keep an alphabetic order
480	#of parameter names in the list
481	try:
482	# If a thread is already started, stop it
483	if self.calc_thread != None and self.calc_thread.isrunning():
484	self.calc_thread.stop()
485
486	self.calc_thread =FitThread(parent =self.parent,
487	fn= self.fitter,
488	pars= pars,
489	cpage= page_fitted,
490	qmin=qmin,
491	qmax=qmax,
492
493	completefn=self._single_fit_completed,
494	updatefn=None)
495	self.calc_thread.queue()
496	self.calc_thread.ready(2.5)
497	#while not self.done:
498	#print "when here"
499	# time.sleep(1)
500
501
502	except:
503	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
504	return
505
506	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
507	"""
508	perform fit for all the pages selected on simpage and return chisqr,out and cov
509	@param engineName: type of fit to be performed
510	@param id: unique id corresponding to a fit problem(model, set of data)
511	in park_integration
512	@param model: model to fit
513
514	"""
515	#set an engine to perform fit
516	from sans.fit.Fitting import Fit
517	self.fitter= Fit(self._fit_engine)
518	self.fit_id= 0
519	#Setting an id to store model and data
520	if id!=None:
521	self.fit_id= id
522
523
524	for page, value in self.page_finder.iteritems():
525	try:
526	if value.get_scheduled()==1:
527	metadata = value.get_fit_data()
528	list = value.get_model()
529	model= list[0]
530	#Create dictionary of parameters for fitting used
531	cpage= page
532	print ""
533	pars = []
534	templist = []
535	templist = page.get_param_list()
536	for element in templist:
537	try:
538	name = str(element[0].GetLabelText())
539	pars.append(name)
540	except:
541	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
542	return
543	# need to check this print "new model "
544
545	new_model=Model(model)
546	param=value.get_model_param()
547
548	if len(param)>0:
549	for item in param:
550	param_value = item[1]
551	param_name = item[0]
552	#print "fitting ", param,param_name, param_value
553
554	#new_model.set( model.getParam(param_name[0])= param_value)
555	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
556	#new_model.set( exec "%s"%(param_nam) = param_value)
557	new_model.parameterset[ param_name].set( param_value )
558
559	self.fitter.set_model(new_model, self.fit_id, pars)
560	print "sim-->model",metadata,model,self.fit_id, pars
561	#self.fitter.set_model(Model(model), self.fit_id, pars)
562	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
563	print "sim---->value of problem",value.get_scheduled()
564	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
565	self.fit_id += 1
566	value.clear_model_param()
567	#self.schedule_for_fit( 0,value)
568	except:
569	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
570	return
571	#Do the simultaneous fit
572	try:
573	# If a thread is already started, stop it
574	if self.calc_thread != None and self.calc_thread.isrunning():
575	self.calc_thread.stop()
576	if self.fit_id==1:
577	self.calc_thread =FitThread(parent =self.parent,
578	fn= self.fitter,
579	qmin=qmin,
580	qmax=qmax,
581	ymin= ymin,
582	ymax= ymax,
583	cpage=cpage,
584	pars= pars,
585	completefn= self._simul_fit_completed,
586	updatefn=None)
587
588	else:
589	self.calc_thread =FitThread(parent =self.parent,
590	fn= self.fitter,
591	qmin=qmin,
592	qmax=qmax,
593	ymin= ymin,
594	ymax= ymax,
595	completefn= self._simul_fit_completed,
596	updatefn=None)
597	self.calc_thread.queue()
598	self.calc_thread.ready(2.5)
599
600	except:
601	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
602	return
603
604
605	def _onset_engine(self,event):
606	""" set engine to scipy"""
607	if self._fit_engine== 'park':
608	self._on_change_engine('scipy')
609	else:
610	self._on_change_engine('park')
611	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
612
613
614	def _on_change_engine(self, engine='park'):
615	"""
616	Allow to select the type of engine to perform fit
617	@param engine: the key work of the engine
618	"""
619	self._fit_engine = engine
620
621
622	def _on_model_panel(self, evt):
623	"""
624	react to model selection on any combo box or model menu.plot the model
625	"""
626
627	model = evt.model
628	name = evt.name
629
630	print "name fitting", name
631	sim_page=self.fit_panel.GetPage(1)
632	current_pg = self.fit_panel.get_current_page()
633	if current_pg != sim_page:
634	current_pg.set_panel(model)
635	#model.name = self.page_finder[current_pg].get_name()
636	#print "model name", model.name
637	model.name="M"+str(self.index_model)
638	try:
639	metadata=self.page_finder[current_pg].get_data()
640	M_name=model.name+"= "+name+"("+metadata.group_id+")"
641	except:
642	M_name=model.name+"= "+name
643	self.index_model += 1
644
645
646	# save model name
647
648	# save the name containing the data name with the appropriate model
649	self.page_finder[current_pg].set_model(model,M_name)
650	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
651	sim_page.add_model(self.page_finder)
652
653	def set_smearer(self,smearer):
654	current_pg=self.fit_panel.get_current_page()
655	self.page_finder[current_pg].set_smearer(smearer)
656
657	def redraw_model(self,qmin= None,qmax= None):
658	"""
659	Draw a theory according to model changes or data range.
660	@param qmin: the minimum value plotted for theory
661	@param qmax: the maximum value plotted for theory
662	"""
663	current_pg=self.fit_panel.get_current_page()
664	for page, value in self.page_finder.iteritems():
665	if page ==current_pg :
666	break
667	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
668
669	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
670	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
671	"""
672	Plot a theory given a model and data
673	@param model: the model from where the theory is derived
674	@param currpage: page in a dictionary referring to some data
675	"""
676	if self.fit_panel.GetPageCount() >1:
677	for page in self.page_finder.iterkeys():
678	if page==currpage :
679	data=self.page_finder[page].get_plotted_data()
680	list=self.page_finder[page].get_model()
681	model=list[0]
682	break
683	print "model in fitting",model
684	if data!=None and data.__class__.__name__ != 'Data2D':
685	theory = Theory1D(x=[], y=[])
686	theory.name = model.name
687	theory.group_id = data.group_id
688	"""
689	if hasattr(data, "id"):
690	import string
691	if string.find("Model",data.id )!=None:
692	#allow plotting on the same panel
693	theory.id =str(data.id )+" "+str(self.index_theory)
694	self.index_theory +=1
695	else:
696	"""
697	theory.id = "Model"
698
699	x_name, x_units = data.get_xaxis()
700	y_name, y_units = data.get_yaxis()
701	theory.xaxis(x_name, x_units)
702	theory.yaxis(y_name, y_units)
703	if qmin == None :
704	qmin = min(data.x)
705	if qmax == None :
706	qmax = max(data.x)
707	try:
708	tempx = qmin
709	tempy = model.run(qmin)
710	theory.x.append(tempx)
711	theory.y.append(tempy)
712	except :
713	wx.PostEvent(self.parent, StatusEvent(status="fitting \
714	skipping point x %g %s" %(qmin, sys.exc_value)))
715
716	for i in range(len(data.x)):
717	try:
718	if data.x[i]> qmin and data.x[i]< qmax:
719	tempx = data.x[i]
720	tempy = model.run(tempx)
721	theory.x.append(tempx)
722	theory.y.append(tempy)
723
724	except:
725	wx.PostEvent(self.parent, StatusEvent(status="fitting \
726	skipping point x %g %s" %(data.x[i], sys.exc_value)))
727	try:
728	tempx = qmax
729	tempy = model.run(qmax)
730	theory.x.append(tempx)
731	theory.y.append(tempy)
732	except:
733	wx.PostEvent(self.parent, StatusEvent(status="fitting \
734	skipping point x %g %s" %(qmin, sys.exc_value)) )
735	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
736	title=str(data.name)))
737	else:
738
739	theory=Data2D(data.data, data.err_data)
740	theory.name= model.name
741	if title !=None:
742	self.title = title
743	theory.id= self.title
744	theory.group_id= self.title+data.name
745	else:
746	self.title= "Analytical model 2D "
747	theory.id= "Model"
748	theory.group_id= "Model"+data.name
749	theory.x_bins= data.x_bins
750	theory.y_bins= data.y_bins
751	tempy=[]
752	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
753	if qmin==None:
754	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
755	if qmax==None:
756	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
757	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
758	if ymin==None:
759	ymin=data.ymin
760	if ymax==None:
761	ymax=data.ymax
762	if xmin ==None:
763	xmin=data.xmin
764	if xmax==None:
765	xmax=data.xmax
766
767	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
768	for j in range(len(data.y_bins)):
769	for i in range(len(data.x_bins)):
770	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
771	if tempqij>= qmin and tempqij<= qmax:
772	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
773	else:
774	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
775	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
776	#print "fitting : plot_helper:", theory.image
777	#print "fitting : plot_helper:",theory.image
778	theory.detector= data.detector
779	theory.source= data.source
780
781	theory.qmin= qmin
782	theory.qmax= qmax
783	theory.ymin= ymin
784	theory.ymax= ymax
785	theory.xmin= xmin
786	theory.xmax= xmax
787
788	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
789	title=self.title +str(data.name)))
790
791
792	def _on_model_menu(self, evt):
793	"""
794	Plot a theory from a model selected from the menu
795	"""
796	name = evt.model.__name__
797	if hasattr(evt.model, "name"):
798	name = evt.model.name
799	print "on model menu", name
800	model=evt.model()
801	description=model.description
802
803	# Create a model page. If a new page is created, the model
804	# will be plotted automatically. If a page already exists,
805	# the content will be updated and the plot refreshed
806	self.fit_panel.add_model_page(model,description,name,topmenu=True)
807
808	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
809	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
810	"""
811	draw model with default data value
812	"""
813	if data !=None:
814	self.redraw_model(qmin,qmax)
815	return
816	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
817	self._draw_model2D(model=model,
818	description=model.description,
819	enable2D= enable2D,
820	qmin=qmin,
821	qmax=qmax,
822	qstep=qstep)
823
824
825	def _draw_model1D(self,model,name,description=None, enable1D=True,
826	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
827
828	if enable1D:
829	x= numpy.linspace(start= qmin,
830	stop= qmax,
831	num= qstep,
832	endpoint=True
833	)
834	xlen= len(x)
835	y = numpy.zeros(xlen)
836	if not enable1D:
837	for i in range(xlen):
838	y[i] = model.run(x[i])
839
840	try:
841	new_plot = Theory1D(x, y)
842
843	new_plot.name = name
844	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
845	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
846	new_plot.id = "Model"
847	new_plot.group_id ="Model"
848	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
849	except:
850	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
851	#raise
852	else:
853	for i in range(xlen):
854	y[i] = model.run(x[i])
855	try:
856	new_plot = Theory1D(x, y)
857	print "draw model 1D", name
858	new_plot.name = name
859	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
860	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
861	new_plot.id ="Model"
862	new_plot.group_id ="Model"
863
864	# Pass the reset flag to let the plotting event handler
865	# know that we are replacing the whole plot
866	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
867	title="Analytical model 1D ", reset=True ))
868
869	except:
870	#raise
871	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
872	def update(self, output,time):
873	pass
874
875	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
876
877	wx.PostEvent(self.parent, StatusEvent(status="Calc \
878	complete !" , type="stop"))
879	#print "complete",output, model,qmin, qmax
880	data = output
881	temp= numpy.zeros(numpy.shape(data))
882	temp[temp==0]=1
883	theory= Data2D(image=data, err_image=temp)
884
885	from DataLoader.data_info import Detector, Source
886
887	detector = Detector()
888	theory.detector=[]
889	theory.detector.append(detector)
890
891	theory.detector[0].distance=1e+32#13705.0
892	theory.source= Source()
893	theory.source.wavelength=2*math.pi/1e+32#8.4
894	theory.x_bins =[]
895	theory.y_bins =[]
896	#Now qmax is xmax.
897	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
898	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
899	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
900	theory.detector[0].beam_center.x= qmax
901	theory.detector[0].beam_center.y= qmax
902	#print "xmax,qmax",xmax,qmax
903	# compute x_bins and y_bins
904	# Qx and Qy vectors
905
906	distance = theory.detector[0].distance
907	pixel = qstep/2-1
908	theta = pixel / distance / qstep#100.0
909	wavelength = theory.source.wavelength
910	pixel_width_x = theory.detector[0].pixel_size.x
911	pixel_width_y = theory.detector[0].pixel_size.y
912	center_x = theory.detector[0].beam_center.x/pixel_width_x
913	center_y = theory.detector[0].beam_center.y/pixel_width_y
914
915
916	size_x, size_y= numpy.shape(theory.data)
917	#print "size_x,size_y",size_x, size_y
918	#This case, q and x are equivalent to each other.
919	for i_x in range(size_x):
920	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
921	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
922	theory.x_bins.append(qx)
923	for i_y in range(size_y):
924	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
925	qy =4.0math.pi/wavelength math.tan(theta/2.0)
926	theory.y_bins.append(qy)
927
928	#theory.err_data= numpy.
929	theory.name= model.name
930	theory.group_id ="Model"
931	theory.id ="Model"
932
933
934
935	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
936	theory.xmax= qmax#/math.sqrt(2)
937	theory.ymin= -qmax#/math.sqrt(2)
938	theory.ymax= qmax#/math.sqrt(2)
939
940	#print "model draw comptele xmax",theory.xmax,model.name
941	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
942	title="Analytical model 2D ", reset=True ))
943
944
945
946	def _draw_model2D(self,model,description=None, enable2D=False,
947	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
948
949	x= numpy.linspace(start= -1*qmax,
950	stop= qmax,
951	num= qstep,
952	endpoint=True )
953	y = numpy.linspace(start= -1*qmax,
954	stop= qmax,
955	num= qstep,
956	endpoint=True )
957
958	lx = len(x)
959	#print x
960	#data=numpy.zeros([len(x),len(y)])
961	self.model= model
962	if enable2D:
963	try:
964	from sans.guiframe.model_thread import Calc2D
965	print "in draw model 2d ",self.model
966	self.calc_thread = Calc2D(parent =self.parent,x=x,
967	y=y,model= self.model,
968	qmin=qmin,
969	qmax=qmax,
970	qstep=qstep,
971	completefn=self.complete,
972	updatefn=None)
973	self.calc_thread.queue()
974	self.calc_thread.ready(2.5)
975	except:
976	raise
977
978	def show_panel2D(self, id=None ):
979	self.parent.show_panel(self.model2D_id)
980
981
982	if __name__ == "__main__":
983	i = Plugin()
984
985
986
987

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ cce33b3

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