fitting.py @ 6dc6845

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 6dc6845 was 6dc6845, checked in by Gervaise Alina <gervyh@…>, 15 years ago
small bug fixed on select data
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= 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= self.copy_data(item, dy)
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	print "single-->result",pars,cpage,str(result),result.parameters,result.fitness,result.stderr
352	#print "fitting: single fit pars ", pars
353	for name in pars:
354	if result.pvec.__class__==numpy.float64:
355	model.setParam(name,result.pvec)
356	else:
357	model.setParam(name,result.pvec[i])
358	# print "fitting: single fit", name, result.pvec[i]
359	i += 1
360	print "fitting result : chisqr",result.fitness
361	print "fitting result : pvec",result.pvec
362	print "fitting result : stderr",result.stderr
363	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
364
365	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
366	#title="Fitted model 2D "
367	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
368	ymin=ymin, ymax=ymax,
369	xmin=xmin, xmax=xmax,title=None)
370	except:
371	#raise
372	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
373	return
374
375	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
376	xmin=None, xmax=None, ymin=None, ymax=None):
377	"""
378	Parameter estimation completed,
379	display the results to the user
380	@param alpha: estimated best alpha
381	@param elapsed: computation time
382	"""
383	if cpage!=None:
384	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
385	qmin=qmin,qmax=qmax,
386	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
387	return
388	else:
389	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
390	complete ", type="stop"))
391	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
392
393	try:
394	for page, value in self.page_finder.iteritems():
395	if value.get_scheduled()==1:
396	#fitdata = value.get_data()
397	list = value.get_model()
398	model= list[0]
399
400	small_out = []
401	small_cov = []
402	i = 0
403	#Separate result in to data corresponding to each page
404	for p in result.parameters:
405	model_name,param_name = self.split_string(p.name)
406	if model.name == model_name:
407	small_out.append(p.value )
408	if p.stderr==None:
409	p.stderr=numpy.nan
410	small_cov.append(p.stderr)
411	model.setParam(param_name,p.value)
412	# Display result on each page
413	#print "mmmm",p.value,p.stderr
414	page.onsetValues(result.fitness, small_out,small_cov)
415	#print "out,err",small_out,small_cov
416	#Replot model
417	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
418	xmin=xmin, xmax=xmax,
419	ymin=ymin, ymax=ymax)
420	except:
421	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
422	return
423
424	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
425	"""
426	perform fit for the current page and return chisqr,out and cov
427	@param engineName: type of fit to be performed
428	@param id: unique id corresponding to a fit problem(model, set of data)
429	@param model: model to fit
430
431	"""
432	#print "in single fitting"
433	#set an engine to perform fit
434	from sans.fit.Fitting import Fit
435	self.fitter= Fit(self._fit_engine)
436	#Setting an id to store model and data in fit engine
437	self.fit_id= 0
438	if id!=None:
439	self.fit_id= id
440
441	page_fitted=None
442	fit_problem=None
443	#Get information (model , data) related to the page on
444	#with the fit will be perform
445	current_pg=self.fit_panel.get_current_page()
446	simul_pg=self.fit_panel.GetPage(1 )
447	pars=[]
448	#for page, value in self.page_finder.iteritems():
449	if current_pg!= simul_pg:
450	# if value.get_scheduled() ==1 :
451	value = self.page_finder[current_pg]
452	metadata = value.get_fit_data()
453	list = value.get_model()
454	model = list[0]
455	smearer= value.get_smearer()
456	print "single fit", model, smearer
457	#Create list of parameters for fitting used
458
459	templist=[]
460	try:
461	#templist=current_pg.get_param_list()
462	templist=current_pg.get_param_list()
463	for element in templist:
464	pars.append(str(element[0].GetLabelText()))
465	pars.sort()
466	print "single fit start pars:", pars
467	#Do the single fit
468	self.fitter.set_model(Model(model), self.fit_id, pars)
469	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
470
471	self.fitter.set_data(data=metadata,Uid=self.fit_id,
472	smearer=smearer,qmin= qmin,qmax=qmax,
473	ymin=ymin,ymax=ymax)
474	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
475	page_fitted=current_pg
476	#self.fit_id+=1
477	#self.schedule_for_fit( 0,value)
478	except:
479	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
480	return
481	# make sure to keep an alphabetic order
482	#of parameter names in the list
483	try:
484	# If a thread is already started, stop it
485	if self.calc_thread != None and self.calc_thread.isrunning():
486	self.calc_thread.stop()
487
488	self.calc_thread =FitThread(parent =self.parent,
489	fn= self.fitter,
490	pars= pars,
491	cpage= page_fitted,
492	qmin=qmin,
493	qmax=qmax,
494
495	completefn=self._single_fit_completed,
496	updatefn=None)
497	self.calc_thread.queue()
498	self.calc_thread.ready(2.5)
499	#while not self.done:
500	#print "when here"
501	# time.sleep(1)
502
503
504	except:
505	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
506	return
507
508	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
509	"""
510	perform fit for all the pages selected on simpage and return chisqr,out and cov
511	@param engineName: type of fit to be performed
512	@param id: unique id corresponding to a fit problem(model, set of data)
513	in park_integration
514	@param model: model to fit
515
516	"""
517	#set an engine to perform fit
518	from sans.fit.Fitting import Fit
519	self.fitter= Fit(self._fit_engine)
520	self.fit_id= 0
521	#Setting an id to store model and data
522	if id!=None:
523	self.fit_id= id
524
525
526	for page, value in self.page_finder.iteritems():
527	try:
528	if value.get_scheduled()==1:
529	metadata = value.get_fit_data()
530	list = value.get_model()
531	model= list[0]
532	#Create dictionary of parameters for fitting used
533	cpage= page
534	print ""
535	pars = []
536	templist = []
537	templist = page.get_param_list()
538	for element in templist:
539	try:
540	name = str(element[0].GetLabelText())
541	pars.append(name)
542	except:
543	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
544	return
545	# need to check this print "new model "
546
547	new_model=Model(model)
548	param=value.get_model_param()
549
550	if len(param)>0:
551	for item in param:
552	param_value = item[1]
553	param_name = item[0]
554	#print "fitting ", param,param_name, param_value
555
556	#new_model.set( model.getParam(param_name[0])= param_value)
557	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
558	#new_model.set( exec "%s"%(param_nam) = param_value)
559	new_model.parameterset[ param_name].set( param_value )
560
561	self.fitter.set_model(new_model, self.fit_id, pars)
562	print "sim-->model",metadata,model,self.fit_id, pars
563	#self.fitter.set_model(Model(model), self.fit_id, pars)
564	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
565	print "sim---->value of problem",value.get_scheduled()
566	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
567	self.fit_id += 1
568	value.clear_model_param()
569	#self.schedule_for_fit( 0,value)
570	except:
571	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
572	return
573	#Do the simultaneous fit
574	try:
575	# If a thread is already started, stop it
576	if self.calc_thread != None and self.calc_thread.isrunning():
577	self.calc_thread.stop()
578	if self.fit_id==1:
579	self.calc_thread =FitThread(parent =self.parent,
580	fn= self.fitter,
581	qmin=qmin,
582	qmax=qmax,
583	ymin= ymin,
584	ymax= ymax,
585	cpage=cpage,
586	pars= pars,
587	completefn= self._simul_fit_completed,
588	updatefn=None)
589
590	else:
591	self.calc_thread =FitThread(parent =self.parent,
592	fn= self.fitter,
593	qmin=qmin,
594	qmax=qmax,
595	ymin= ymin,
596	ymax= ymax,
597	completefn= self._simul_fit_completed,
598	updatefn=None)
599	self.calc_thread.queue()
600	self.calc_thread.ready(2.5)
601
602	except:
603	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
604	return
605
606
607	def _onset_engine(self,event):
608	""" set engine to scipy"""
609	if self._fit_engine== 'park':
610	self._on_change_engine('scipy')
611	else:
612	self._on_change_engine('park')
613	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
614
615
616	def _on_change_engine(self, engine='park'):
617	"""
618	Allow to select the type of engine to perform fit
619	@param engine: the key work of the engine
620	"""
621	self._fit_engine = engine
622
623
624	def _on_model_panel(self, evt):
625	"""
626	react to model selection on any combo box or model menu.plot the model
627	"""
628
629	model = evt.model
630	name = evt.name
631
632	print "name fitting", name
633	sim_page=self.fit_panel.GetPage(1)
634	current_pg = self.fit_panel.get_current_page()
635	if current_pg != sim_page:
636	current_pg.set_panel(model)
637	#model.name = self.page_finder[current_pg].get_name()
638	#print "model name", model.name
639	model.name="M"+str(self.index_model)
640	try:
641	metadata=self.page_finder[current_pg].get_data()
642	M_name=model.name+"= "+name+"("+metadata.group_id+")"
643	except:
644	M_name=model.name+"= "+name
645	self.index_model += 1
646
647
648	# save model name
649
650	# save the name containing the data name with the appropriate model
651	self.page_finder[current_pg].set_model(model,M_name)
652	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
653	sim_page.add_model(self.page_finder)
654
655	def set_smearer(self,smearer):
656	current_pg=self.fit_panel.get_current_page()
657	self.page_finder[current_pg].set_smearer(smearer)
658
659	def redraw_model(self,qmin= None,qmax= None):
660	"""
661	Draw a theory according to model changes or data range.
662	@param qmin: the minimum value plotted for theory
663	@param qmax: the maximum value plotted for theory
664	"""
665	current_pg=self.fit_panel.get_current_page()
666	for page, value in self.page_finder.iteritems():
667	if page ==current_pg :
668	break
669	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
670
671	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
672	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
673	"""
674	Plot a theory given a model and data
675	@param model: the model from where the theory is derived
676	@param currpage: page in a dictionary referring to some data
677	"""
678	if self.fit_panel.GetPageCount() >1:
679	for page in self.page_finder.iterkeys():
680	if page==currpage :
681	data=self.page_finder[page].get_plotted_data()
682	list=self.page_finder[page].get_model()
683	model=list[0]
684	break
685	print "model in fitting",model
686	if data!=None and data.__class__.__name__ != 'Data2D':
687	theory = Theory1D(x=[], y=[])
688	theory.name = model.name
689	theory.group_id = data.group_id
690	"""
691	if hasattr(data, "id"):
692	import string
693	if string.find("Model",data.id )!=None:
694	#allow plotting on the same panel
695	theory.id =str(data.id )+" "+str(self.index_theory)
696	self.index_theory +=1
697	else:
698	"""
699	theory.id = "Model"
700
701	x_name, x_units = data.get_xaxis()
702	y_name, y_units = data.get_yaxis()
703	theory.xaxis(x_name, x_units)
704	theory.yaxis(y_name, y_units)
705	if qmin == None :
706	qmin = min(data.x)
707	if qmax == None :
708	qmax = max(data.x)
709	try:
710	tempx = qmin
711	tempy = model.run(qmin)
712	theory.x.append(tempx)
713	theory.y.append(tempy)
714	except :
715	wx.PostEvent(self.parent, StatusEvent(status="fitting \
716	skipping point x %g %s" %(qmin, sys.exc_value)))
717
718	for i in range(len(data.x)):
719	try:
720	if data.x[i]> qmin and data.x[i]< qmax:
721	tempx = data.x[i]
722	tempy = model.run(tempx)
723	theory.x.append(tempx)
724	theory.y.append(tempy)
725
726	except:
727	wx.PostEvent(self.parent, StatusEvent(status="fitting \
728	skipping point x %g %s" %(data.x[i], sys.exc_value)))
729	try:
730	tempx = qmax
731	tempy = model.run(qmax)
732	theory.x.append(tempx)
733	theory.y.append(tempy)
734	except:
735	wx.PostEvent(self.parent, StatusEvent(status="fitting \
736	skipping point x %g %s" %(qmin, sys.exc_value)) )
737	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
738	title=str(data.name)))
739	else:
740
741	theory=Data2D(data.data, data.err_data)
742	theory.name= model.name
743	if title !=None:
744	self.title = title
745	theory.id= self.title
746	theory.group_id= self.title+data.name
747	else:
748	self.title= "Analytical model 2D "
749	theory.id= "Model"
750	theory.group_id= "Model"+data.name
751	theory.x_bins= data.x_bins
752	theory.y_bins= data.y_bins
753	tempy=[]
754	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
755	if qmin==None:
756	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
757	if qmax==None:
758	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
759	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
760	if ymin==None:
761	ymin=data.ymin
762	if ymax==None:
763	ymax=data.ymax
764	if xmin ==None:
765	xmin=data.xmin
766	if xmax==None:
767	xmax=data.xmax
768
769	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
770	for j in range(len(data.y_bins)):
771	for i in range(len(data.x_bins)):
772	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
773	if tempqij>= qmin and tempqij<= qmax:
774	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
775	else:
776	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
777	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
778	#print "fitting : plot_helper:", theory.image
779	#print "fitting : plot_helper:",theory.image
780	theory.detector= data.detector
781	theory.source= data.source
782
783	theory.qmin= qmin
784	theory.qmax= qmax
785	theory.ymin= ymin
786	theory.ymax= ymax
787	theory.xmin= xmin
788	theory.xmax= xmax
789
790	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
791	title=self.title +str(data.name)))
792
793
794	def _on_model_menu(self, evt):
795	"""
796	Plot a theory from a model selected from the menu
797	"""
798	name = evt.model.__name__
799	if hasattr(evt.model, "name"):
800	name = evt.model.name
801	print "on model menu", name
802	model=evt.model()
803	description=model.description
804
805	# Create a model page. If a new page is created, the model
806	# will be plotted automatically. If a page already exists,
807	# the content will be updated and the plot refreshed
808	self.fit_panel.add_model_page(model,description,name,topmenu=True)
809
810	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
811	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
812	"""
813	draw model with default data value
814	"""
815	if data !=None:
816	self.redraw_model(qmin,qmax)
817	return
818	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
819	self._draw_model2D(model=model,
820	description=model.description,
821	enable2D= enable2D,
822	qmin=qmin,
823	qmax=qmax,
824	qstep=qstep)
825
826
827	def _draw_model1D(self,model,name,description=None, enable1D=True,
828	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
829
830	if enable1D:
831	x= numpy.linspace(start= qmin,
832	stop= qmax,
833	num= qstep,
834	endpoint=True
835	)
836	xlen= len(x)
837	y = numpy.zeros(xlen)
838	if not enable1D:
839	for i in range(xlen):
840	y[i] = model.run(x[i])
841
842	try:
843	new_plot = Theory1D(x, y)
844
845	new_plot.name = name
846	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
847	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
848	new_plot.id = "Model"
849	new_plot.group_id ="Model"
850	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
851	except:
852	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
853	#raise
854	else:
855	for i in range(xlen):
856	y[i] = model.run(x[i])
857	try:
858	new_plot = Theory1D(x, y)
859	print "draw model 1D", name
860	new_plot.name = name
861	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
862	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
863	new_plot.id ="Model"
864	new_plot.group_id ="Model"
865
866	# Pass the reset flag to let the plotting event handler
867	# know that we are replacing the whole plot
868	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
869	title="Analytical model 1D ", reset=True ))
870
871	except:
872	#raise
873	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
874	def update(self, output,time):
875	pass
876
877	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
878
879	wx.PostEvent(self.parent, StatusEvent(status="Calc \
880	complete !" , type="stop"))
881	#print "complete",output, model,qmin, qmax
882	data = output
883	temp= numpy.zeros(numpy.shape(data))
884	temp[temp==0]=1
885	theory= Data2D(image=data, err_image=temp)
886
887	from DataLoader.data_info import Detector, Source
888
889	detector = Detector()
890	theory.detector=[]
891	theory.detector.append(detector)
892
893	theory.detector[0].distance=1e+32#13705.0
894	theory.source= Source()
895	theory.source.wavelength=2*math.pi/1e+32#8.4
896	theory.x_bins =[]
897	theory.y_bins =[]
898	#Now qmax is xmax.
899	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
900	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
901	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
902	theory.detector[0].beam_center.x= qmax
903	theory.detector[0].beam_center.y= qmax
904	#print "xmax,qmax",xmax,qmax
905	# compute x_bins and y_bins
906	# Qx and Qy vectors
907
908	distance = theory.detector[0].distance
909	pixel = qstep/2-1
910	theta = pixel / distance / qstep#100.0
911	wavelength = theory.source.wavelength
912	pixel_width_x = theory.detector[0].pixel_size.x
913	pixel_width_y = theory.detector[0].pixel_size.y
914	center_x = theory.detector[0].beam_center.x/pixel_width_x
915	center_y = theory.detector[0].beam_center.y/pixel_width_y
916
917
918	size_x, size_y= numpy.shape(theory.data)
919	#print "size_x,size_y",size_x, size_y
920	#This case, q and x are equivalent to each other.
921	for i_x in range(size_x):
922	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
923	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
924	theory.x_bins.append(qx)
925	for i_y in range(size_y):
926	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
927	qy =4.0math.pi/wavelength math.tan(theta/2.0)
928	theory.y_bins.append(qy)
929
930	#theory.err_data= numpy.
931	theory.name= model.name
932	theory.group_id ="Model"
933	theory.id ="Model"
934
935
936
937	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
938	theory.xmax= qmax#/math.sqrt(2)
939	theory.ymin= -qmax#/math.sqrt(2)
940	theory.ymax= qmax#/math.sqrt(2)
941
942	#print "model draw comptele xmax",theory.xmax,model.name
943	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
944	title="Analytical model 2D ", reset=True ))
945
946
947
948	def _draw_model2D(self,model,description=None, enable2D=False,
949	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
950
951	x= numpy.linspace(start= -1*qmax,
952	stop= qmax,
953	num= qstep,
954	endpoint=True )
955	y = numpy.linspace(start= -1*qmax,
956	stop= qmax,
957	num= qstep,
958	endpoint=True )
959
960	lx = len(x)
961	#print x
962	#data=numpy.zeros([len(x),len(y)])
963	self.model= model
964	if enable2D:
965	try:
966	from sans.guiframe.model_thread import Calc2D
967	print "in draw model 2d ",self.model
968	self.calc_thread = Calc2D(parent =self.parent,x=x,
969	y=y,model= self.model,
970	qmin=qmin,
971	qmax=qmax,
972	qstep=qstep,
973	completefn=self.complete,
974	updatefn=None)
975	self.calc_thread.queue()
976	self.calc_thread.ready(2.5)
977	except:
978	raise
979
980	def show_panel2D(self, id=None ):
981	self.parent.show_panel(self.model2D_id)
982
983
984	if __name__ == "__main__":
985	i = Plugin()
986
987
988
989

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source: sasview/sansview/perspectives/fitting/fitting.py @ 6dc6845

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