fitting.py @ 72b524b

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 72b524b was 6e659ae8, checked in by Gervaise Alina <gervyh@…>, 16 years ago
fix a small bug on fitting with error zero
Property mode set to `100644`
File size: 42.0 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,FitData1D,FitData2D#,Data,
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= item
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= item
243	else:
244	data= item
245
246
247	if item.name == self.panel.graph.selected_plottable or\
248	item.__class__.__name__ is "Data2D":
249	#find a name for the page created for notebook
250	print "fitting", self.panel
251	try:
252
253	#page = self.fit_panel.add_fit_page(item)
254	page = self.fit_panel.add_fit_page(data)
255	#page, model_name = self.fit_panel.add_fit_page(item)
256	# add data associated to the page created
257
258	if page !=None:
259	#create a fitproblem storing all link to data,model,page creation
260	self.page_finder[page]= FitProblem()
261	#self.page_finder[page].save_model_name(model_name)
262	self.page_finder[page].add_plotted_data(item)
263	self.page_finder[page].add_fit_data(data)
264
265
266	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
267	else:
268	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
269	except:
270	raise
271	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
272	#%sys.exc_value))
273
274
275	def schedule_for_fit(self,value=0,fitproblem =None):
276	"""
277
278	"""
279	if fitproblem !=None:
280	fitproblem.schedule_tofit(value)
281	else:
282	current_pg=self.fit_panel.get_current_page()
283	for page, val in self.page_finder.iteritems():
284	if page ==current_pg :
285	val.schedule_tofit(value)
286	break
287
288
289	def get_page_finder(self):
290	""" @return self.page_finder used also by simfitpage.py"""
291	return self.page_finder
292
293
294	def set_page_finder(self,modelname,names,values):
295	"""
296	Used by simfitpage.py to reset a parameter given the string constrainst.
297	@param modelname: the name ot the model for with the parameter has to reset
298	@param value: can be a string in this case.
299	@param names: the paramter name
300	@note: expecting park used for fit.
301	"""
302	sim_page=self.fit_panel.GetPage(1)
303	for page, value in self.page_finder.iteritems():
304	if page != sim_page:
305	list=value.get_model()
306	model=list[0]
307	print "fitting",model.name,modelname, values
308	if model.name== modelname:
309	value.set_model_param(names,values)
310	break
311
312
313
314	def split_string(self,item):
315	"""
316	receive a word containing dot and split it. used to split parameterset
317	name into model name and parameter name example:
318	paramaterset (item) = M1.A
319	@return model_name =M1 , parameter name =A
320	"""
321	if string.find(item,".")!=-1:
322	param_names= re.split("\.",item)
323	model_name=param_names[0]
324	param_name=param_names[1]
325	return model_name,param_name
326
327
328	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
329	ymin=None, ymax=None, xmin=None, xmax=None):
330	"""
331	Display fit result on one page of the notebook.
332	@param result: result of fit
333	@param pars: list of names of parameters fitted
334	@param current_pg: the page where information will be displayed
335	@param qmin: the minimum value of x to replot the model
336	@param qmax: the maximum value of x to replot model
337
338	"""
339
340	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
341	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
342	complete " , type="stop"))
343	try:
344	for page, value in self.page_finder.iteritems():
345	if page==cpage :
346	#fitdata = value.get_data()
347	list = value.get_model()
348	model= list[0]
349	break
350	i = 0
351
352	for name in pars:
353	if result.pvec.__class__==numpy.float64:
354	model.setParam(name,result.pvec)
355	else:
356	model.setParam(name,result.pvec[i])
357	# print "fitting: single fit", name, result.pvec[i]
358	i += 1
359	print "fitting result : chisqr",result.fitness
360	print "fitting result : pvec",result.pvec
361	print "fitting result : stderr",result.stderr
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
455
456	#Create list of parameters for fitting used
457
458	templist=[]
459	try:
460	#templist=current_pg.get_param_list()
461	templist=current_pg.get_param_list()
462	for element in templist:
463	pars.append(str(element[0].GetLabelText()))
464	pars.sort()
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	dy=[]
469	x=[]
470	y=[]
471	if metadata.__class__ in ["Data1D","Theory1D"]:
472	for i in range(len(metadata.dy)):
473	if metadata.dy[i] !=0:
474	dy.append(metadata.dy[i])
475	x.append(metadata.x[i])
476	y.append(metadata.y[i])
477	if len(dy)>0:
478	metadata.dy=numpy.zeros(len(dy))
479	metadata.dy=dy
480	metadata.y=numpy.zeros(len(y))
481	metadata.y=y
482	metadata.x=numpy.zeros(len(x))
483	metadata.x=x
484	self.fitter.set_data(data=metadata,Uid=self.fit_id,
485	smearer=smearer,qmin= qmin,qmax=qmax,
486	ymin=ymin,ymax=ymax)
487	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
488	page_fitted=current_pg
489	#self.fit_id+=1
490	#self.schedule_for_fit( 0,value)
491	except:
492	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
493	return
494	# make sure to keep an alphabetic order
495	#of parameter names in the list
496	try:
497	# If a thread is already started, stop it
498	if self.calc_thread != None and self.calc_thread.isrunning():
499	self.calc_thread.stop()
500
501	self.calc_thread =FitThread(parent =self.parent,
502	fn= self.fitter,
503	pars= pars,
504	cpage= page_fitted,
505	qmin=qmin,
506	qmax=qmax,
507
508	completefn=self._single_fit_completed,
509	updatefn=None)
510	self.calc_thread.queue()
511	self.calc_thread.ready(2.5)
512	#while not self.done:
513	#print "when here"
514	# time.sleep(1)
515
516
517	except:
518	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
519	return
520
521	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
522	"""
523	perform fit for all the pages selected on simpage and return chisqr,out and cov
524	@param engineName: type of fit to be performed
525	@param id: unique id corresponding to a fit problem(model, set of data)
526	in park_integration
527	@param model: model to fit
528
529	"""
530	#set an engine to perform fit
531	from sans.fit.Fitting import Fit
532	self.fitter= Fit(self._fit_engine)
533	self.fit_id= 0
534	#Setting an id to store model and data
535	if id!=None:
536	self.fit_id= id
537
538
539	for page, value in self.page_finder.iteritems():
540	try:
541	if value.get_scheduled()==1:
542	metadata = value.get_fit_data()
543	list = value.get_model()
544	model= list[0]
545	#Create dictionary of parameters for fitting used
546	cpage= page
547	print ""
548	pars = []
549	templist = []
550	templist = page.get_param_list()
551	for element in templist:
552	try:
553	name = str(element[0].GetLabelText())
554	pars.append(name)
555	except:
556	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
557	return
558	# need to check this print "new model "
559
560	new_model=Model(model)
561	param=value.get_model_param()
562
563	if len(param)>0:
564	for item in param:
565	param_value = item[1]
566	param_name = item[0]
567	#print "fitting ", param,param_name, param_value
568
569	#new_model.set( model.getParam(param_name[0])= param_value)
570	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
571	#new_model.set( exec "%s"%(param_nam) = param_value)
572	new_model.parameterset[ param_name].set( param_value )
573
574	self.fitter.set_model(new_model, self.fit_id, pars)
575	print "sim-->model",metadata,model,self.fit_id, pars
576	dy=[]
577	x=[]
578	y=[]
579	if metadata.__class__ in ["Data1D","Theory1D"]:
580	for i in range(len(metadata.dy)):
581	if metadata.dy[i] !=0:
582	dy.append(metadata.dy[i])
583	x.append(metadata.x[i])
584	y.append(metadata.y[i])
585	if len(dy)>0:
586	metadata.dy=numpy.zeros(len(dy))
587	metadata.dy=dy
588	metadata.y=numpy.zeros(len(y))
589	metadata.y=y
590	metadata.x=numpy.zeros(len(x))
591	metadata.x=x
592	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
593	print "sim---->value of problem",value.get_scheduled()
594	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
595	self.fit_id += 1
596	value.clear_model_param()
597	#self.schedule_for_fit( 0,value)
598	except:
599	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
600	return
601	#Do the simultaneous fit
602	try:
603	# If a thread is already started, stop it
604	if self.calc_thread != None and self.calc_thread.isrunning():
605	self.calc_thread.stop()
606	if self.fit_id==1:
607	self.calc_thread =FitThread(parent =self.parent,
608	fn= self.fitter,
609	qmin=qmin,
610	qmax=qmax,
611	ymin= ymin,
612	ymax= ymax,
613	cpage=cpage,
614	pars= pars,
615	completefn= self._simul_fit_completed,
616	updatefn=None)
617
618	else:
619	self.calc_thread =FitThread(parent =self.parent,
620	fn= self.fitter,
621	qmin=qmin,
622	qmax=qmax,
623	ymin= ymin,
624	ymax= ymax,
625	completefn= self._simul_fit_completed,
626	updatefn=None)
627	self.calc_thread.queue()
628	self.calc_thread.ready(2.5)
629
630	except:
631	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
632	return
633
634
635	def _onset_engine(self,event):
636	""" set engine to scipy"""
637	if self._fit_engine== 'park':
638	self._on_change_engine('scipy')
639	else:
640	self._on_change_engine('park')
641	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
642
643
644	def _on_change_engine(self, engine='park'):
645	"""
646	Allow to select the type of engine to perform fit
647	@param engine: the key work of the engine
648	"""
649	self._fit_engine = engine
650
651
652	def _on_model_panel(self, evt):
653	"""
654	react to model selection on any combo box or model menu.plot the model
655	"""
656
657	model = evt.model
658	name = evt.name
659
660	print "name fitting", name
661	sim_page=self.fit_panel.GetPage(1)
662	current_pg = self.fit_panel.get_current_page()
663	if current_pg != sim_page:
664	current_pg.set_panel(model)
665	#model.name = self.page_finder[current_pg].get_name()
666	#print "model name", model.name
667	model.name="M"+str(self.index_model)
668	try:
669	metadata=self.page_finder[current_pg].get_data()
670	M_name=model.name+"= "+name+"("+metadata.group_id+")"
671	except:
672	M_name=model.name+"= "+name
673	self.index_model += 1
674
675
676	# save model name
677
678	# save the name containing the data name with the appropriate model
679	self.page_finder[current_pg].set_model(model,M_name)
680	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
681	sim_page.add_model(self.page_finder)
682
683	def set_smearer(self,smearer):
684	current_pg=self.fit_panel.get_current_page()
685	self.page_finder[current_pg].set_smearer(smearer)
686
687	def redraw_model(self,qmin= None,qmax= None):
688	"""
689	Draw a theory according to model changes or data range.
690	@param qmin: the minimum value plotted for theory
691	@param qmax: the maximum value plotted for theory
692	"""
693	current_pg=self.fit_panel.get_current_page()
694	for page, value in self.page_finder.iteritems():
695	if page ==current_pg :
696	break
697	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
698
699	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
700	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
701	"""
702	Plot a theory given a model and data
703	@param model: the model from where the theory is derived
704	@param currpage: page in a dictionary referring to some data
705	"""
706	if self.fit_panel.GetPageCount() >1:
707	for page in self.page_finder.iterkeys():
708	if page==currpage :
709	data=self.page_finder[page].get_plotted_data()
710	list=self.page_finder[page].get_model()
711	model=list[0]
712	break
713	print "model in fitting",model
714	if data!=None and data.__class__.__name__ != 'Data2D':
715	theory = Theory1D(x=[], y=[])
716	theory.name = model.name
717	theory.group_id = data.group_id
718	"""
719	if hasattr(data, "id"):
720	import string
721	if string.find("Model",data.id )!=None:
722	#allow plotting on the same panel
723	theory.id =str(data.id )+" "+str(self.index_theory)
724	self.index_theory +=1
725	else:
726	"""
727	theory.id = "Model"
728
729	x_name, x_units = data.get_xaxis()
730	y_name, y_units = data.get_yaxis()
731	theory.xaxis(x_name, x_units)
732	theory.yaxis(y_name, y_units)
733	if qmin == None :
734	qmin = min(data.x)
735	if qmax == None :
736	qmax = max(data.x)
737	try:
738	tempx = qmin
739	tempy = model.run(qmin)
740	theory.x.append(tempx)
741	theory.y.append(tempy)
742	except :
743	wx.PostEvent(self.parent, StatusEvent(status="fitting \
744	skipping point x %g %s" %(qmin, sys.exc_value)))
745
746	for i in range(len(data.x)):
747	try:
748	if data.x[i]> qmin and data.x[i]< qmax:
749	tempx = data.x[i]
750	tempy = model.run(tempx)
751	theory.x.append(tempx)
752	theory.y.append(tempy)
753
754	except:
755	wx.PostEvent(self.parent, StatusEvent(status="fitting \
756	skipping point x %g %s" %(data.x[i], sys.exc_value)))
757	try:
758	tempx = qmax
759	tempy = model.run(qmax)
760	theory.x.append(tempx)
761	theory.y.append(tempy)
762	except:
763	wx.PostEvent(self.parent, StatusEvent(status="fitting \
764	skipping point x %g %s" %(qmin, sys.exc_value)) )
765	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
766	title=str(data.name)))
767	else:
768
769	theory=Data2D(data.data, data.err_data)
770	theory.name= model.name
771	if title !=None:
772	self.title = title
773	theory.id= self.title
774	theory.group_id= self.title+data.name
775	else:
776	self.title= "Analytical model 2D "
777	theory.id= "Model"
778	theory.group_id= "Model"+data.name
779	theory.x_bins= data.x_bins
780	theory.y_bins= data.y_bins
781	tempy=[]
782	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
783	if qmin==None:
784	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
785	if qmax==None:
786	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
787	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
788	if ymin==None:
789	ymin=data.ymin
790	if ymax==None:
791	ymax=data.ymax
792	if xmin ==None:
793	xmin=data.xmin
794	if xmax==None:
795	xmax=data.xmax
796
797	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
798	for j in range(len(data.y_bins)):
799	for i in range(len(data.x_bins)):
800	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
801	if tempqij>= qmin and tempqij<= qmax:
802	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
803	else:
804	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
805	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
806	#print "fitting : plot_helper:", theory.image
807	#print "fitting : plot_helper:",theory.image
808	theory.detector= data.detector
809	theory.source= data.source
810
811	theory.qmin= qmin
812	theory.qmax= qmax
813	theory.ymin= ymin
814	theory.ymax= ymax
815	theory.xmin= xmin
816	theory.xmax= xmax
817
818	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
819	title=self.title +str(data.name)))
820
821
822	def _on_model_menu(self, evt):
823	"""
824	Plot a theory from a model selected from the menu
825	"""
826	name = evt.model.__name__
827	if hasattr(evt.model, "name"):
828	name = evt.model.name
829	print "on model menu", name
830	model=evt.model()
831	description=model.description
832
833	# Create a model page. If a new page is created, the model
834	# will be plotted automatically. If a page already exists,
835	# the content will be updated and the plot refreshed
836	self.fit_panel.add_model_page(model,description,name,topmenu=True)
837
838	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
839	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
840	"""
841	draw model with default data value
842	"""
843	if data !=None:
844	self.redraw_model(qmin,qmax)
845	return
846	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
847	self._draw_model2D(model=model,
848	description=model.description,
849	enable2D= enable2D,
850	qmin=qmin,
851	qmax=qmax,
852	qstep=qstep)
853
854
855	def _draw_model1D(self,model,name,description=None, enable1D=True,
856	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
857
858	if enable1D:
859	x= numpy.linspace(start= qmin,
860	stop= qmax,
861	num= qstep,
862	endpoint=True
863	)
864	xlen= len(x)
865	y = numpy.zeros(xlen)
866	if not enable1D:
867	for i in range(xlen):
868	y[i] = model.run(x[i])
869
870	try:
871	new_plot = Theory1D(x, y)
872
873	new_plot.name = name
874	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
875	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
876	new_plot.id = "Model"
877	new_plot.group_id ="Model"
878	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
879	except:
880	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
881	#raise
882	else:
883	for i in range(xlen):
884	y[i] = model.run(x[i])
885	try:
886	new_plot = Theory1D(x, y)
887	print "draw model 1D", name
888	new_plot.name = name
889	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
890	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
891	new_plot.id ="Model"
892	new_plot.group_id ="Model"
893
894	# Pass the reset flag to let the plotting event handler
895	# know that we are replacing the whole plot
896	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
897	title="Analytical model 1D ", reset=True ))
898
899	except:
900	#raise
901	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
902	def update(self, output,time):
903	pass
904
905	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
906
907	wx.PostEvent(self.parent, StatusEvent(status="Calc \
908	complete !" , type="stop"))
909	#print "complete",output, model,qmin, qmax
910	data = output
911	temp= numpy.zeros(numpy.shape(data))
912	temp[temp==0]=1
913	theory= Data2D(image=data, err_image=temp)
914
915	from DataLoader.data_info import Detector, Source
916
917	detector = Detector()
918	theory.detector=[]
919	theory.detector.append(detector)
920
921	theory.detector[0].distance=1e+32#13705.0
922	theory.source= Source()
923	theory.source.wavelength=2*math.pi/1e+32#8.4
924	theory.x_bins =[]
925	theory.y_bins =[]
926	#Now qmax is xmax.
927	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
928	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
929	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
930	theory.detector[0].beam_center.x= qmax
931	theory.detector[0].beam_center.y= qmax
932	#print "xmax,qmax",xmax,qmax
933	# compute x_bins and y_bins
934	# Qx and Qy vectors
935
936	distance = theory.detector[0].distance
937	pixel = qstep/2-1
938	theta = pixel / distance / qstep#100.0
939	wavelength = theory.source.wavelength
940	pixel_width_x = theory.detector[0].pixel_size.x
941	pixel_width_y = theory.detector[0].pixel_size.y
942	center_x = theory.detector[0].beam_center.x/pixel_width_x
943	center_y = theory.detector[0].beam_center.y/pixel_width_y
944
945
946	size_x, size_y= numpy.shape(theory.data)
947	#print "size_x,size_y",size_x, size_y
948	#This case, q and x are equivalent to each other.
949	for i_x in range(size_x):
950	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
951	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
952	theory.x_bins.append(qx)
953	for i_y in range(size_y):
954	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
955	qy =4.0math.pi/wavelength math.tan(theta/2.0)
956	theory.y_bins.append(qy)
957
958	#theory.err_data= numpy.
959	theory.name= model.name
960	theory.group_id ="Model"
961	theory.id ="Model"
962
963
964
965	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
966	theory.xmax= qmax#/math.sqrt(2)
967	theory.ymin= -qmax#/math.sqrt(2)
968	theory.ymax= qmax#/math.sqrt(2)
969
970	#print "model draw comptele xmax",theory.xmax,model.name
971	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
972	title="Analytical model 2D ", reset=True ))
973
974
975
976	def _draw_model2D(self,model,description=None, enable2D=False,
977	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
978
979	x= numpy.linspace(start= -1*qmax,
980	stop= qmax,
981	num= qstep,
982	endpoint=True )
983	y = numpy.linspace(start= -1*qmax,
984	stop= qmax,
985	num= qstep,
986	endpoint=True )
987
988	lx = len(x)
989	#print x
990	#data=numpy.zeros([len(x),len(y)])
991	self.model= model
992	if enable2D:
993	try:
994	from sans.guiframe.model_thread import Calc2D
995	print "in draw model 2d ",self.model
996	self.calc_thread = Calc2D(parent =self.parent,x=x,
997	y=y,model= self.model,
998	qmin=qmin,
999	qmax=qmax,
1000	qstep=qstep,
1001	completefn=self.complete,
1002	updatefn=None)
1003	self.calc_thread.queue()
1004	self.calc_thread.ready(2.5)
1005	except:
1006	raise
1007
1008	def show_panel2D(self, id=None ):
1009	self.parent.show_panel(self.model2D_id)
1010
1011
1012	if __name__ == "__main__":
1013	i = Plugin()
1014
1015
1016
1017

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source: sasview/sansview/perspectives/fitting/fitting.py @ 72b524b

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