fitting.py @ a7fe3e3

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 a7fe3e3 was d902cf0, checked in by Gervaise Alina <gervyh@…>, 16 years ago
selecting data for fit allow for some data only
Property mode set to `100644`
File size: 45.4 KB

Line
1	import re,copy
2	import sys, wx, logging
3	import string, numpy, math
4
5	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
6	from danse.common.plottools.PlotPanel import PlotPanel
7	from sans.guicomm.events import NewPlotEvent, StatusEvent
8	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
9	from sans.guiframe import dataFitting
10	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D
11
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models
16	import fitpage
17
18
19	DEFAULT_BEAM = 0.005
20	DEFAULT_QMIN = 0.0
21	DEFAULT_QMAX = 0.1
22	DEFAULT_NPTS = 50
23	import time
24	import thread
25
26
27	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
28	class PlotInfo:
29	"""
30	store some plotting field
31	"""
32	_xunit = 'A^{-1}'
33	_xaxis= "\\rm{Q}"
34	_yunit = "cm^{-1}"
35	_yaxis= "\\rm{Intensity} "
36	id = "Model"
37	group_id = "Model"
38	title= None
39	info= None
40
41
42	class Plugin:
43	"""
44	Fitting plugin is used to perform fit
45	"""
46	def __init__(self):
47	## Plug-in name
48	self.sub_menu = "Fitting"
49
50	## Reference to the parent window
51	self.parent = None
52	#Provide list of models existing in the application
53	self.menu_mng = models.ModelManager()
54	## List of panels for the simulation perspective (names)
55	self.perspective = []
56	#list of panel to send to guiframe
57	self.mypanels=[]
58	# reference to the current running thread
59	self.calc_2D= None
60	self.calc_1D= None
61	self.calc_fit= None
62
63	# Start with a good default
64	self.elapsed = 0.022
65	# the type of optimizer selected, park or scipy
66	self.fitter = None
67	#Flag to let the plug-in know that it is running stand alone
68	self.standalone=True
69	## dictionary of page closed and id
70	self.closed_page_dict ={}
71	## Fit engine
72	self._fit_engine = 'scipy'
73	#List of selected data
74	self.selected_data_list=[]
75	# Log startup
76	logging.info("Fitting plug-in started")
77	# model 2D view
78	self.model2D_id=None
79	#keep reference of the simultaneous fit page
80	self.sim_page=None
81	#dictionary containing data name and error on dy of that data
82	self.err_dy={}
83
84
85
86	def populate_menu(self, id, owner):
87	"""
88	Create a menu for the Fitting plug-in
89	@param id: id to create a menu
90	@param owner: owner of menu
91	@ return : list of information to populate the main menu
92	"""
93	#Menu for fitting
94	self.menu1 = wx.Menu()
95
96	#Set park engine
97	id3 = wx.NewId()
98	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
99	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
100	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
101
102	id3 = wx.NewId()
103	park_help = "Park Engine: Perform Complex fit. More in Help window...."
104	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
105	wx.EVT_MENU(owner, id3, self._onset_engine_park)
106
107	self.menu1.FindItemByPosition(0).Check(True)
108	self.menu1.FindItemByPosition(1).Check(False)
109
110	self.menu1.AppendSeparator()
111
112	id1 = wx.NewId()
113	simul_help = "Allow to edit fit engine with multiple model and data"
114	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
115	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
116
117	#menu for model
118	menu2 = wx.Menu()
119
120	self.menu_mng.populate_menu(menu2, owner)
121	id2 = wx.NewId()
122	owner.Bind(models.EVT_MODEL,self._on_model_menu)
123
124	self.fit_panel.set_owner(owner)
125	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
126	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
127
128	#self.menu3= wx.Menu()
129	#id4 = wx.NewId()
130
131	#create menubar items
132	return [(id, self.menu1, "Fitting"),
133	(id2, menu2, "Model")]
134	#return [(id, self.menu1, "Fitting"),
135	# (id4,self.menu3,"Averagers"),
136	# (id2, menu2, "Model")]
137
138	def on_add_sim_page(self, event):
139	"""
140	Create a page to access simultaneous fit option
141	"""
142	if self.sim_page !=None:
143	msg= "Simultaneous Fit page already opened"
144	wx.PostEvent(self.parent, StatusEvent(status= msg))
145	return
146
147	self.sim_page= self.fit_panel.add_sim_page()
148
149
150
151	def help(self, evt):
152	"""
153	Show a general help dialog.
154	TODO: replace the text with a nice image
155	"""
156	from helpPanel import HelpWindow
157	frame = HelpWindow(None, -1, 'HelpWindow')
158	frame.Show(True)
159
160
161	def get_context_menu(self, graph=None):
162	"""
163	Get the context menu items available for P(r)
164	@param graph: the Graph object to which we attach the context menu
165	@return: a list of menu items with call-back function
166	"""
167	self.graph=graph
168	for item in graph.plottables:
169	if item.__class__.__name__ is "Data2D":
170	if hasattr(item,"is_data"):
171	if item.is_data:
172	return [["Select data for Fitting", \
173	"Dialog with fitting parameters ", self._onSelect]]
174	else:
175	return []
176	return [["Select data for Fitting",\
177	"Dialog with fitting parameters ", self._onSelect]]
178	else:
179	if item.name==graph.selected_plottable :
180	if hasattr(item, "group_id"):
181	if hasattr(item,"is_data"):
182	if item.is_data:
183	return [["Select data for Fitting", \
184	"Dialog with fitting parameters ", self._onSelect]]
185	else:
186	return []
187	else:
188	return [["Select data for Fitting", \
189	"Dialog with fitting parameters ", self._onSelect]]
190	return []
191
192
193	def get_panels(self, parent):
194	"""
195	Create and return a list of panel objects
196	"""
197	self.parent = parent
198	# Creation of the fit panel
199	self.fit_panel = FitPanel(self.parent, -1)
200	#Set the manager for the main panel
201	self.fit_panel.set_manager(self)
202	# List of windows used for the perspective
203	self.perspective = []
204	self.perspective.append(self.fit_panel.window_name)
205	# take care of saving data, model and page associated with each other
206	self.page_finder = {}
207	#index number to create random model name
208	self.index_model = 0
209	self.index_theory= 0
210	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
211	self.parent.Bind( ERR_DATA, self._on_data_error)
212
213	#Send the fitting panel to guiframe
214	self.mypanels.append(self.fit_panel)
215	return self.mypanels
216
217
218
219	def get_perspective(self):
220	"""
221	Get the list of panel names for this perspective
222	"""
223	return self.perspective
224
225
226	def on_perspective(self, event):
227	"""
228	Call back function for the perspective menu item.
229	We notify the parent window that the perspective
230	has changed.
231	"""
232	self.parent.set_perspective(self.perspective)
233
234
235	def post_init(self):
236	"""
237	Post initialization call back to close the loose ends
238	[Somehow openGL needs this call]
239	"""
240	self.parent.set_perspective(self.perspective)
241
242
243	def copy_data(self, item, dy=None):
244	"""
245	receive a data 1D and the list of errors on dy
246	and create a new data1D data
247	@param return
248	"""
249	detector=None
250	source=None
251	info = None
252	id=None
253	dxl=None
254	dxw=None
255	if hasattr(item, "dxl"):
256	dxl = copy.deepcopy(item.dxl)
257	if hasattr(item, "dxw"):
258	dxw = copy.deepcopy(item.dxw)
259	if hasattr(item, "detector"):
260	detector = copy.deepcopy(item.detector)
261	if hasattr(item, "source"):
262	source = copy.deepcopy(item.source)
263	if hasattr(item ,"info"):
264	info= copy.deepcopy(item.info)
265	if hasattr(item,"id"):
266	id = copy.deepcopy(item.id)
267
268	from sans.guiframe import dataFitting
269	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
270
271	data.name = item.name
272	data.detector = detector
273	data.source = source
274	## allow to highlight data when plotted
275	data.interactive = copy.deepcopy(item.interactive)
276	## when 2 data have the same id override the 1 st plotted
277	data.id = id
278	## info is a reference to output of dataloader that can be used
279	## to save data 1D as cansas xml file
280	data.info= info
281	## If the data file does not tell us what the axes are, just assume...
282	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
283	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
284	##group_id specify on which panel to plot this data
285	data.group_id = copy.deepcopy(item.group_id)
286	return data
287
288	def set_fit_range(self, page, qmin, qmax):
289	"""
290	Set the fitting range of a given page
291	"""
292	if page in self.page_finder.iterkeys():
293	fitproblem= self.page_finder[page]
294	fitproblem.set_range(qmin= qmin, qmax= qmax)
295
296	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
297	"""
298	Set the fit problem field to 0 or 1 to schedule that problem to fit.
299	Schedule the specified fitproblem or get the fit problem related to
300	the current page and set value.
301	@param value : integer 0 or 1
302	@param fitproblem: fitproblem to schedule or not to fit
303	"""
304	if fitproblem !=None:
305	fitproblem.schedule_tofit(value)
306	else:
307	if page in self.page_finder.iterkeys():
308	fitproblem= self.page_finder[page]
309	fitproblem.schedule_tofit(value)
310
311
312
313	def get_page_finder(self):
314	""" @return self.page_finder used also by simfitpage.py"""
315	return self.page_finder
316
317
318	def set_page_finder(self,modelname,names,values):
319	"""
320	Used by simfitpage.py to reset a parameter given the string constrainst.
321	@param modelname: the name ot the model for with the parameter has to reset
322	@param value: can be a string in this case.
323	@param names: the paramter name
324	@note: expecting park used for fit.
325	"""
326	sim_page= self.sim_page
327	for page, value in self.page_finder.iteritems():
328	if page != sim_page:
329	list=value.get_model()
330	model = list[0]
331	if model.name== modelname:
332	value.set_model_param(names,values)
333	break
334
335
336
337	def split_string(self,item):
338	"""
339	receive a word containing dot and split it. used to split parameterset
340	name into model name and parameter name example:
341	paramaterset (item) = M1.A
342	@return model_name =M1 , parameter name =A
343	"""
344	if string.find(item,".")!=-1:
345	param_names= re.split("\.",item)
346	model_name=param_names[0]
347	param_name=param_names[1]
348	return model_name,param_name
349
350
351	def stop_fit(self):
352	"""
353	Stop the fit engine
354	"""
355	if self.calc_fit!= None and self.calc_thread.isrunning():
356	self.calc_thread.stop()
357	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
358	is cancelled" , type="stop"))
359
360
361
362	def set_smearer(self,smearer, qmin=None, qmax=None):
363	"""
364	Get a smear object and store it to a fit problem
365	@param smearer: smear object to allow smearing data
366	"""
367	current_pg=self.fit_panel.get_current_page()
368	self.page_finder[current_pg].set_smearer(smearer)
369	## draw model 1D with smeared data
370	data = self.page_finder[current_pg].get_plotted_data()
371	model = self.page_finder[current_pg].get_model()
372	## if user has already selected a model to plot
373	## redraw the model with data smeared
374
375	smear =self.page_finder[current_pg].get_smearer()
376	self.draw_model( model=model, data= data, smearer= smear,
377	qmin= qmin, qmax= qmax)
378
379
380
381	def draw_model(self, model, data= None,smearer= None,
382	enable1D= True, enable2D= False,
383	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
384	"""
385	Draw model.
386	@param model: the model to draw
387	@param name: the name of the model to draw
388	@param data: the data on which the model is based to be drawn
389	@param description: model's description
390	@param enable1D: if true enable drawing model 1D
391	@param enable2D: if true enable drawing model 2D
392	@param qmin: Range's minimum value to draw model
393	@param qmax: Range's maximum value to draw model
394	@param qstep: number of step to divide the x and y-axis
395
396	"""
397	## draw model 1D with no loaded data
398	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
399	qmin= qmin, qmax= qmax, qstep= qstep )
400	## draw model 2D with no initial data
401	self._draw_model2D(model=model,
402	data = data,
403	enable2D= enable2D,
404	qmin=qmin,
405	qmax=qmax,
406	qstep=qstep)
407
408
409
410	def onFit(self):
411	"""
412	perform fit
413	"""
414	## count the number of fitproblem schedule to fit
415	fitproblem_count= 0
416	for value in self.page_finder.itervalues():
417	if value.get_scheduled()==1:
418	fitproblem_count += 1
419
420	## if simultaneous fit change automatically the engine to park
421	if fitproblem_count >1:
422	self._on_change_engine(engine='park')
423
424	from sans.fit.Fitting import Fit
425	self.fitter= Fit(self._fit_engine)
426
427	if self._fit_engine=="park":
428	engineType="Simultaneous Fit"
429	else:
430	engineType="Single Fit"
431
432	fproblemId = 0
433	current_pg=None
434	for page, value in self.page_finder.iteritems():
435	try:
436	if value.get_scheduled()==1:
437	#Get list of parameters name to fit
438	pars = []
439	templist = []
440	templist = page.get_param_list()
441	for element in templist:
442	name = str(element[1])
443	pars.append(name)
444	#Set Engine (model , data) related to the page on
445	self._fit_helper( current_pg=page, value=value,pars=pars,
446	id=fproblemId, title= engineType )
447	fproblemId += 1
448	current_pg= page
449	except:
450	raise
451	return
452	#msg= "%s error: %s" % (engineType,sys.exc_value)
453	#wx.PostEvent(self.parent, StatusEvent(status= msg ))
454	#return
455	#Do the simultaneous fit
456	try:
457	## If a thread is already started, stop it
458	if self.calc_fit!= None and self.calc_fit.isrunning():
459	self.calc_fit.stop()
460
461	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
462	curr_thread=self.calc_fit,type="start"))
463	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
464	curr_thread=self.calc_fit,type="progress"))
465	## perform single fit
466	if self._fit_engine=="scipy":
467	qmin, qmax= current_pg.get_range()
468	self.calc_fit=FitThread(parent =self.parent,
469	fn= self.fitter,
470	cpage=current_pg,
471	pars= pars,
472	completefn= self._single_fit_completed,
473	updatefn=self._updateFit)
474
475	else:
476	## Perform more than 1 fit at the time
477	self.calc_fit=FitThread(parent =self.parent,
478	fn= self.fitter,
479	completefn= self._simul_fit_completed,
480	updatefn=self._updateFit)
481	self.calc_fit.queue()
482	self.calc_fit.ready(2.5)
483
484	except:
485	raise
486	#msg= "%s error: %s" % (engineType,sys.exc_value)
487	#wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
488	#return
489
490
491	def _add_page_onmenu(self, name,fitproblem=None):
492	"""
493	Add name of a closed page of fitpanel in a menu
494	"""
495	list = self.menu1.GetMenuItems()
496	for item in list:
497	if name == item.GetItemLabel():
498	self.closed_page_dict[name][1] = fitproblem
499
500	if not name in self.closed_page_dict.keys():
501	# Post paramters
502	event_id = wx.NewId()
503	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
504	self.closed_page_dict[name]= [event_id, fitproblem]
505	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
506
507
508	def _open_closed_page(self, event):
509	"""
510	reopen a closed page
511	"""
512	for name, value in self.closed_page_dict.iteritems():
513	if event.GetId() in value:
514	id,fitproblem = value
515	if name !="Model":
516	data= fitproblem.get_fit_data()
517	page = self.fit_panel.add_fit_page(data= data,reset=True)
518	if fitproblem != None:
519	self.page_finder[page]=fitproblem
520	if self.sim_page != None:
521	self.sim_page.draw_page()
522
523	else:
524	model = fitproblem
525	self.fit_panel.add_model_page(model=model, topmenu=True,
526	reset= True)
527	break
528
529
530	def _reset_schedule_problem(self, value=0):
531	"""
532	unschedule or schedule all fitproblem to be fit
533	"""
534	for page, fitproblem in self.page_finder.iteritems():
535	fitproblem.schedule_tofit(value)
536
537	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
538	"""
539	helper for fitting
540	"""
541	metadata = value.get_fit_data()
542	model = value.get_model()
543	smearer = value.get_smearer()
544	qmin , qmax = value.get_range()
545	self.fit_id =id
546	#Create list of parameters for fitting used
547	templist=[]
548	pars=pars
549	try:
550	## create a park model and reset parameter value if constraint
551	## is given
552	new_model = Model(model)
553	param = value.get_model_param()
554	if len(param)>0:
555	for item in param:
556	param_value = item[1]
557	param_name = item[0]
558	## check if constraint
559	if param_value !=None and param_name != None:
560	new_model.parameterset[ param_name].set( param_value )
561
562	#Do the single fit
563	self.fitter.set_model(new_model, self.fit_id, pars)
564
565	self.fitter.set_data(data=metadata,Uid=self.fit_id,
566	smearer=smearer,qmin= qmin,qmax=qmax )
567
568	self.fitter.select_problem_for_fit(Uid= self.fit_id,
569	value= value.get_scheduled())
570	value.clear_model_param()
571	except:
572	raise
573	return
574	#msg= title +" error: %s" % sys.exc_value
575	#wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
576	#return
577
578	def _onSelect(self,event):
579	"""
580	when Select data to fit a new page is created .Its reference is
581	added to self.page_finder
582	"""
583	self.panel = event.GetEventObject()
584	for plottable in self.panel.graph.plottables:
585
586	if plottable.name == self.panel.graph.selected_plottable:
587	#if not hasattr(plottable, "is_data"):
588
589	if plottable.__class__.__name__=="Theory1D":
590	dy=numpy.zeros(len(plottable.y))
591	if hasattr(plottable, "dy"):
592	dy= copy.deepcopy(plottable.dy)
593
594	item= self.copy_data(plottable, dy)
595	item.group_id += "data1D"
596	item.id +="data1D"
597	item.is_data= False
598	title = item.name
599	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
600	else:
601	item= self.copy_data(plottable, plottable.dy)
602	item.is_data=True
603
604	## put the errors values back to the model if the errors were hiden
605	## before sending them to the fit engine
606	if len(self.err_dy)>0:
607	if item.name in self.err_dy.iterkeys():
608	dy= self.err_dy[item.name]
609	data= self.copy_data(item, dy)
610	data.is_data= item.is_data
611	else:
612	data= self.copy_data(item)
613	data.is_data= item.is_data
614
615
616	else:
617	if item.dy==None:
618	dy= numpy.zeros(len(item.y))
619	data= self.copy_data(item, dy)
620	data.is_data=item.is_data
621	else:
622	data= self.copy_data(item)
623	data.is_data=item.is_data
624
625	else:
626	## Data2D case
627	if not hasattr(plottable, "is_data"):
628	item= copy.deepcopy(plottable)
629	item.group_id += "data2D"
630	item.id +="data2D"
631	item.is_data= False
632	title = item.name
633	title += " Fit"
634	data = item
635	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
636	else:
637	item= copy.deepcopy(plottable )
638	data= copy.deepcopy(plottable )
639	item.is_data=True
640	data.is_data=True
641	## create anew page
642	if item.name == self.panel.graph.selected_plottable or\
643	item.__class__.__name__ is "Data2D":
644	try:
645	page = self.fit_panel.add_fit_page(data)
646	# add data associated to the page created
647	if page !=None:
648	#create a fitproblem storing all link to data,model,page creation
649	if not page in self.page_finder.keys():
650	self.page_finder[page]= FitProblem()
651	## item is almost the same as data but contains
652	## axis info for plotting
653	self.page_finder[page].add_plotted_data(item)
654	self.page_finder[page].add_fit_data(data)
655
656	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
657	else:
658	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
659	except:
660	raise
661	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
662	#%sys.exc_value))
663	#return
664	def _updateFit(self):
665	"""
666	Is called when values of result are available
667	"""
668	##Sending a progess message to the status bar
669	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
670
671	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
672	"""
673	Display fit result on one page of the notebook.
674	@param result: result of fit
675	@param pars: list of names of parameters fitted
676	@param current_pg: the page where information will be displayed
677	@param qmin: the minimum value of x to replot the model
678	@param qmax: the maximum value of x to replot model
679
680	"""
681	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
682	complete! " ))
683
684	try:
685	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
686	msg= "Fitting did not converge!!!"
687	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
688	return
689	for page, value in self.page_finder.iteritems():
690	if page==cpage :
691	model= value.get_model()
692	break
693	i = 0
694	for name in pars:
695	if result.pvec.__class__==numpy.float64:
696	model.setParam(name,result.pvec)
697	else:
698	model.setParam(name,result.pvec[i])
699	i += 1
700	## Reset values of the current page to fit result
701	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
702	## plot the current model with new param
703	metadata = self.page_finder[cpage].get_fit_data()
704	model = self.page_finder[cpage].get_model()
705	qmin, qmax= self.page_finder[cpage].get_range()
706	smearer =self.page_finder[cpage].get_smearer()
707	#Replot models
708	msg= "Single Fit completed. plotting... %s:"%model.name
709	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
710	self.draw_model( model=model, data= metadata, smearer= smearer,
711	qmin= qmin, qmax= qmax)
712	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
713	except:
714	raise
715	#msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
716	#wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
717	#return
718
719
720	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
721	"""
722	Parameter estimation completed,
723	display the results to the user
724	@param alpha: estimated best alpha
725	@param elapsed: computation time
726	"""
727	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
728	complete "))
729
730	## fit more than 1 model at the same time
731	try:
732	for page, value in self.page_finder.iteritems():
733	if value.get_scheduled()==1:
734	model = value.get_model()
735	metadata = value.get_plotted_data()
736	small_out = []
737	small_cov = []
738	i = 0
739	#Separate result in to data corresponding to each page
740	for p in result.parameters:
741	model_name,param_name = self.split_string(p.name)
742	if model.name == model_name:
743	p_name= model.name+"."+param_name
744	if p.name == p_name:
745	small_out.append(p.value )
746	model.setParam(param_name,p.value)
747
748	small_cov.append(p.stderr)
749	else:
750	value= model.getParam(param_name)
751	small_out.append(value )
752	small_cov.append(None)
753	# Display result on each page
754	page.onsetValues(result.fitness, small_out,small_cov)
755	#Replot models
756	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
757	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
758	qmin, qmax= page.get_range()
759	smearer =self.page_finder[page].get_smearer()
760	self.draw_model( model=model, data= metadata, smearer=smearer,
761	qmin= qmin, qmax= qmax)
762	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
763	except:
764	msg= "Simultaneous Fit completed"
765	msg +=" but Following error occurred:%s"%sys.exc_value
766	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
767	return
768
769
770
771	def _on_show_panel(self, event):
772	print "_on_show_panel: fitting"
773
774
775	def _onset_engine_park(self,event):
776	"""
777	set engine to park
778	"""
779	self._on_change_engine('park')
780
781
782	def _onset_engine_scipy(self,event):
783	"""
784	set engine to scipy
785	"""
786	self._on_change_engine('scipy')
787
788	def _on_slicer_event(self, event):
789	"""
790	Receive a panel as event and send it to guiframe
791	@param event: event containing a panel
792	"""
793	if event.panel!=None:
794	new_panel = event.panel
795	# Set group ID if available
796	event_id = self.parent.popup_panel(new_panel)
797	#self.menu3.Append(event_id, new_panel.window_caption,
798	# "Show %s plot panel" % new_panel.window_caption)
799	# Set UID to allow us to reference the panel later
800	new_panel.uid = event_id
801	self.mypanels.append(new_panel)
802	return
803
804
805	def _return_engine_type(self):
806	"""
807	return the current type of engine
808	"""
809	return self._fit_engine
810
811
812	def _on_change_engine(self, engine='park'):
813	"""
814	Allow to select the type of engine to perform fit
815	@param engine: the key work of the engine
816	"""
817	## saving fit engine name
818	self._fit_engine = engine
819	## change menu item state
820	if engine=="park":
821	self.menu1.FindItemByPosition(0).Check(False)
822	self.menu1.FindItemByPosition(1).Check(True)
823	else:
824	self.menu1.FindItemByPosition(0).Check(True)
825	self.menu1.FindItemByPosition(1).Check(False)
826
827	## post a message to status bar
828	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
829
830	## Bind every open fit page with a newevent to know the current fitting engine
831	import fitpage
832	event= fitpage.FitterTypeEvent()
833	event.type = self._fit_engine
834	for key in self.page_finder.keys():
835	wx.PostEvent(key, event)
836
837
838	def _on_model_panel(self, evt):
839	"""
840	react to model selection on any combo box or model menu.plot the model
841	@param evt: wx.combobox event
842	"""
843	model = evt.model
844
845	if model ==None:
846	return
847
848	current_pg = self.fit_panel.get_current_page()
849	## make sure nothing is done on self.sim_page
850	## example trying to call set_panel on self.sim_page
851	if current_pg != self.sim_page :
852
853	if self.page_finder[current_pg].get_model()== None :
854
855	model.name="M"+str(self.index_model)
856	self.index_model += 1
857	else:
858	model.name= self.page_finder[current_pg].get_model().name
859
860	metadata = self.page_finder[current_pg].get_plotted_data()
861
862	# save the name containing the data name with the appropriate model
863	self.page_finder[current_pg].set_model(model)
864	qmin, qmax= current_pg.get_range()
865	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
866	smearer= self.page_finder[current_pg].get_smearer()
867	# save model name
868	self.draw_model( model=model,smearer=smearer,
869	data= metadata, qmin=qmin, qmax=qmax)
870
871	if self.sim_page!=None:
872	self.sim_page.draw_page()
873
874
875
876	def _on_model_menu(self, evt):
877	"""
878	Plot a theory from a model selected from the menu
879	@param evt: wx.menu event
880	"""
881	model = evt.model
882
883	# Create a model page. If a new page is created, the model
884	# will be plotted automatically. If a page already exists,
885	# the content will be updated and the plot refreshed
886	self.fit_panel.add_model_page(model,topmenu=True)
887
888
889
890
891	def _update1D(self,x, output):
892	"""
893	Update the output of plotting model 1D
894	"""
895	wx.PostEvent(self.parent, StatusEvent(status="Plot \
896	#updating ... ",type="update"))
897	self.calc_thread.ready(0.01)
898
899	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
900	"""
901	fill Data2D with default value
902	@param theory: Data2D to fill
903	"""
904	from DataLoader.data_info import Detector, Source
905
906	detector = Detector()
907	theory.detector.append(detector)
908
909	theory.detector[0].distance=1e+32
910	theory.source= Source()
911	theory.source.wavelength=2*math.pi/1e+32
912
913	## Create detector for Model 2D
914	xmax=2theory.detector[0].distancemath.atan(\
915	qmax/(4*math.pi/theory.source.wavelength))
916
917	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
918	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
919	theory.detector[0].beam_center.x= qmax
920	theory.detector[0].beam_center.y= qmax
921	## create x_bins and y_bins of the model 2D
922	distance = theory.detector[0].distance
923	pixel = qstep/2-1
924	theta = pixel / distance / qstep#100.0
925	wavelength = theory.source.wavelength
926	pixel_width_x = theory.detector[0].pixel_size.x
927	pixel_width_y = theory.detector[0].pixel_size.y
928	center_x = theory.detector[0].beam_center.x/pixel_width_x
929	center_y = theory.detector[0].beam_center.y/pixel_width_y
930
931
932	size_x, size_y= numpy.shape(theory.data)
933	for i_x in range(size_x):
934	theta = (i_x-center_x)*pixel_width_x / distance
935	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
936	theory.x_bins.append(qx)
937	for i_y in range(size_y):
938	theta = (i_y-center_y)*pixel_width_y / distance
939	qy =4.0math.pi/wavelength math.tan(theta/2.0)
940	theory.y_bins.append(qy)
941
942	theory.group_id ="Model"
943	theory.id ="Model"
944	## determine plot boundaries
945	theory.xmin= -qmax
946	theory.xmax= qmax
947	theory.ymin= -qmax
948	theory.ymax= qmax
949
950
951	def _get_plotting_info(self, data=None):
952	"""
953	get plotting info from data if data !=None
954	else use some default
955	"""
956	my_info = PlotInfo()
957	if data !=None:
958	if hasattr(data,"info"):
959	x_name, x_units = data.get_xaxis()
960	y_name, y_units = data.get_yaxis()
961
962	my_info._xunit = x_units
963	my_info._xaxis = x_name
964	my_info._yunit = y_units
965	my_info._yaxis = y_name
966
967	my_info.title= data.name
968	if hasattr(data, "info"):
969	my_info.info= data.info
970	if hasattr(data, "group_id"):
971	my_info.group_id= data.group_id
972
973	return my_info
974
975	def _complete1D(self, x,y, elapsed,model,data=None):
976	"""
977	Complete plotting 1D data
978	"""
979
980	try:
981
982	new_plot = Theory1D(x=x, y=y)
983	my_info = self._get_plotting_info( data)
984	new_plot.name = model.name
985	new_plot.id = my_info.id
986	new_plot.group_id = my_info.group_id
987
988	new_plot.xaxis( my_info._xaxis, my_info._xunit)
989	new_plot.yaxis( my_info._yaxis, my_info._yunit)
990	if data!=None:
991	if new_plot.id == data.id:
992	new_plot.id += "Model"
993	new_plot.is_data =False
994
995	from DataLoader.data_info import Data1D
996	info= Data1D(x= new_plot.x, y=new_plot.y)
997	info.title= new_plot.name
998	title= my_info.title
999	info.xaxis(new_plot._xaxis, new_plot._xunit)
1000	info.yaxis( new_plot._yaxis, new_plot._yunit)
1001	new_plot.info = info
1002	# Pass the reset flag to let the plotting event handler
1003	# know that we are replacing the whole plot
1004	if title== None:
1005	title = "Analytical model 1D "
1006	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1007	title= str(title), reset=True ))
1008	else:
1009	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1010	title= str(title)))
1011	msg = "Plot 1D complete !"
1012	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1013	except:
1014	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1015	msg+= " %s"%sys.exc_value
1016	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1017	return
1018
1019
1020
1021
1022	def _update2D(self, output,time=None):
1023	"""
1024	Update the output of plotting model
1025	"""
1026	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1027	#updating ... ",type="update"))
1028	self.calc_thread.ready(0.01)
1029
1030
1031	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1032	"""
1033	Complete get the result of modelthread and create model 2D
1034	that can be plot.
1035	"""
1036
1037
1038	err_image = numpy.zeros(numpy.shape(image))
1039
1040	theory= Data2D(image= image , err_image= err_image)
1041	theory.name= model.name
1042
1043	if data ==None:
1044	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1045
1046	else:
1047	theory.id= data.id+"Model"
1048	theory.group_id= data.name+"Model"
1049	theory.x_bins= data.x_bins
1050	theory.y_bins= data.y_bins
1051	theory.detector= data.detector
1052	theory.source= data.source
1053	theory.is_data =False
1054	## plot boundaries
1055	theory.ymin= data.ymin
1056	theory.ymax= data.ymax
1057	theory.xmin= data.xmin
1058	theory.xmax= data.xmax
1059
1060
1061	## plot
1062	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1063	title="Analytical model 2D ", reset=True ))
1064	msg = "Plot 2D complete !"
1065	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1066
1067	def _on_data_error(self, event):
1068	"""
1069	receives and event from plotting plu-gins to store the data name and
1070	their errors of y coordinates for 1Data hide and show error
1071	"""
1072	self.err_dy= event.err_dy
1073
1074	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1075	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1076	"""
1077	draw model in 2D
1078	@param model: instance of the model to draw
1079	@param description: the description of the model
1080	@param enable2D: when True allows to draw model 2D
1081	@param qmin: the minimum value to draw model 2D
1082	@param qmax: the maximum value to draw model 2D
1083	@param qstep: the number of division of Qx and Qy of the model to draw
1084
1085	"""
1086
1087	x= numpy.linspace(start= -1*qmax,
1088	stop= qmax,
1089	num= qstep,
1090	endpoint=True )
1091	y = numpy.linspace(start= -1*qmax,
1092	stop= qmax,
1093	num= qstep,
1094	endpoint=True )
1095	## use data info instead
1096	if data !=None:
1097	## check if data2D to plot
1098	if hasattr(data, "x_bins"):
1099	enable2D = True
1100	x= data.x_bins
1101	y= data.y_bins
1102
1103	if not enable2D:
1104	return
1105	try:
1106	from model_thread import Calc2D
1107	## If a thread is already started, stop it
1108	if self.calc_2D != None and self.calc_2D.isrunning():
1109	self.calc_2D.stop()
1110	self.calc_2D = Calc2D( x= x,
1111	y= y,
1112	model= model,
1113	data = data,
1114	qmin= qmin,
1115	qmax= qmax,
1116	qstep= qstep,
1117	completefn= self._complete2D,
1118	updatefn= self._update2D )
1119	self.calc_2D.queue()
1120
1121	except:
1122	msg= " Error occurred when drawing %s Model 2D: "%model.name
1123	msg+= " %s"%sys.exc_value
1124	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1125	return
1126
1127	def _draw_model1D(self, model, data=None, smearer= None,
1128	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1129	"""
1130	Draw model 1D from loaded data1D
1131	@param data: loaded data
1132	@param model: the model to plot
1133	"""
1134
1135	x= numpy.linspace(start= qmin,
1136	stop= qmax,
1137	num= qstep,
1138	endpoint=True
1139	)
1140	if data!=None:
1141	## check for data2D
1142	if hasattr(data,"x_bins"):
1143	return
1144	x = data.x
1145	if qmin == DEFAULT_QMIN :
1146	qmin = min(data.x)
1147	if qmax == DEFAULT_QMAX:
1148	qmax = max(data.x)
1149
1150
1151	if not enable1D:
1152	return
1153
1154	try:
1155	from model_thread import Calc1D
1156	## If a thread is already started, stop it
1157	if self.calc_1D!= None and self.calc_1D.isrunning():
1158	self.calc_1D.stop()
1159	self.calc_1D= Calc1D( x= x,
1160	data = data,
1161	model= model,
1162	qmin = qmin,
1163	qmax = qmax,
1164	smearer = smearer,
1165	completefn = self._complete1D,
1166	updatefn = self._update1D )
1167	self.calc_1D.queue()
1168
1169	except:
1170	msg= " Error occurred when drawing %s Model 1D: "%model.name
1171	msg+= " %s"%sys.exc_value
1172	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1173	return
1174
1175
1176
1177
1178
1179	if __name__ == "__main__":
1180	i = Plugin()
1181
1182
1183
1184

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ a7fe3e3

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