fitting.py @ 1f1da702

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 1f1da702 was 27976fd0, checked in by Gervaise Alina <gervyh@…>, 16 years ago
model description details
Property mode set to `100644`
File size: 45.1 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	#create menubar items
129	return [(id, self.menu1, "Fitting"),
130	(id2, menu2, "Model")]
131
132
133	def on_add_sim_page(self, event):
134	"""
135	Create a page to access simultaneous fit option
136	"""
137	if self.sim_page !=None:
138	msg= "Simultaneous Fit page already opened"
139	wx.PostEvent(self.parent, StatusEvent(status= msg))
140	return
141
142	self.sim_page= self.fit_panel.add_sim_page()
143
144
145
146	def help(self, evt):
147	"""
148	Show a general help dialog.
149	TODO: replace the text with a nice image
150	"""
151	from helpPanel import HelpWindow
152	frame = HelpWindow(None, -1, 'HelpWindow')
153	frame.Show(True)
154
155
156	def get_context_menu(self, graph=None):
157	"""
158	Get the context menu items available for P(r)
159	@param graph: the Graph object to which we attach the context menu
160	@return: a list of menu items with call-back function
161	"""
162	self.graph=graph
163	for item in graph.plottables:
164	if item.__class__.__name__ is "Data2D":
165	if hasattr(item,"is_data"):
166	if item.is_data:
167	return [["Select data for Fitting", \
168	"Dialog with fitting parameters ", self._onSelect]]
169	else:
170	return []
171	return [["Select data for Fitting",\
172	"Dialog with fitting parameters ", self._onSelect]]
173	else:
174	if item.name==graph.selected_plottable :
175	if hasattr(item, "group_id"):
176	if hasattr(item,"is_data"):
177	if item.is_data:
178	return [["Select data for Fitting", \
179	"Dialog with fitting parameters ", self._onSelect]]
180	else:
181	return []
182	else:
183	return [["Select data for Fitting", \
184	"Dialog with fitting parameters ", self._onSelect]]
185	return []
186
187
188	def get_panels(self, parent):
189	"""
190	Create and return a list of panel objects
191	"""
192	self.parent = parent
193	# Creation of the fit panel
194	self.fit_panel = FitPanel(self.parent, -1)
195	#Set the manager for the main panel
196	self.fit_panel.set_manager(self)
197	# List of windows used for the perspective
198	self.perspective = []
199	self.perspective.append(self.fit_panel.window_name)
200	# take care of saving data, model and page associated with each other
201	self.page_finder = {}
202	#index number to create random model name
203	self.index_model = 0
204	self.index_theory= 0
205	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
206	self.parent.Bind( ERR_DATA, self._on_data_error)
207
208	#Send the fitting panel to guiframe
209	self.mypanels.append(self.fit_panel)
210	return self.mypanels
211
212
213
214	def get_perspective(self):
215	"""
216	Get the list of panel names for this perspective
217	"""
218	return self.perspective
219
220
221	def on_perspective(self, event):
222	"""
223	Call back function for the perspective menu item.
224	We notify the parent window that the perspective
225	has changed.
226	"""
227	self.parent.set_perspective(self.perspective)
228
229
230	def post_init(self):
231	"""
232	Post initialization call back to close the loose ends
233	[Somehow openGL needs this call]
234	"""
235	self.parent.set_perspective(self.perspective)
236
237
238	def copy_data(self, item, dy=None):
239	"""
240	receive a data 1D and the list of errors on dy
241	and create a new data1D data
242	@param return
243	"""
244	detector=None
245	source=None
246	info = None
247	id=None
248	dxl=None
249	dxw=None
250	if hasattr(item, "dxl"):
251	dxl = copy.deepcopy(item.dxl)
252	if hasattr(item, "dxw"):
253	dxw = copy.deepcopy(item.dxw)
254	if hasattr(item, "detector"):
255	detector = copy.deepcopy(item.detector)
256	if hasattr(item, "source"):
257	source = copy.deepcopy(item.source)
258	if hasattr(item ,"info"):
259	info= copy.deepcopy(item.info)
260	if hasattr(item,"id"):
261	id = copy.deepcopy(item.id)
262
263	from sans.guiframe import dataFitting
264	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
265
266	data.name = item.name
267	data.detector = detector
268	data.source = source
269	## allow to highlight data when plotted
270	data.interactive = copy.deepcopy(item.interactive)
271	## when 2 data have the same id override the 1 st plotted
272	data.id = id
273	## info is a reference to output of dataloader that can be used
274	## to save data 1D as cansas xml file
275	data.info= info
276	## If the data file does not tell us what the axes are, just assume...
277	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
278	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
279	##group_id specify on which panel to plot this data
280	data.group_id = copy.deepcopy(item.group_id)
281	return data
282
283	def set_fit_range(self, page, qmin, qmax):
284	"""
285	Set the fitting range of a given page
286	"""
287	if page in self.page_finder.iterkeys():
288	fitproblem= self.page_finder[page]
289	fitproblem.set_range(qmin= qmin, qmax= qmax)
290
291	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
292	"""
293	Set the fit problem field to 0 or 1 to schedule that problem to fit.
294	Schedule the specified fitproblem or get the fit problem related to
295	the current page and set value.
296	@param value : integer 0 or 1
297	@param fitproblem: fitproblem to schedule or not to fit
298	"""
299	if fitproblem !=None:
300	fitproblem.schedule_tofit(value)
301	else:
302	if page in self.page_finder.iterkeys():
303	fitproblem= self.page_finder[page]
304	fitproblem.schedule_tofit(value)
305
306
307
308	def get_page_finder(self):
309	""" @return self.page_finder used also by simfitpage.py"""
310	return self.page_finder
311
312
313	def set_page_finder(self,modelname,names,values):
314	"""
315	Used by simfitpage.py to reset a parameter given the string constrainst.
316	@param modelname: the name ot the model for with the parameter has to reset
317	@param value: can be a string in this case.
318	@param names: the paramter name
319	@note: expecting park used for fit.
320	"""
321	sim_page= self.sim_page
322	for page, value in self.page_finder.iteritems():
323	if page != sim_page:
324	list=value.get_model()
325	model = list[0]
326	if model.name== modelname:
327	value.set_model_param(names,values)
328	break
329
330
331
332	def split_string(self,item):
333	"""
334	receive a word containing dot and split it. used to split parameterset
335	name into model name and parameter name example:
336	paramaterset (item) = M1.A
337	@return model_name =M1 , parameter name =A
338	"""
339	if string.find(item,".")!=-1:
340	param_names= re.split("\.",item)
341	model_name=param_names[0]
342	param_name=param_names[1]
343	return model_name,param_name
344
345
346	def stop_fit(self):
347	"""
348	Stop the fit engine
349	"""
350	if self.calc_fit!= None and self.calc_thread.isrunning():
351	self.calc_thread.stop()
352	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
353	is cancelled" , type="stop"))
354
355
356
357	def set_smearer(self,smearer, qmin=None, qmax=None):
358	"""
359	Get a smear object and store it to a fit problem
360	@param smearer: smear object to allow smearing data
361	"""
362	current_pg=self.fit_panel.get_current_page()
363	self.page_finder[current_pg].set_smearer(smearer)
364	## draw model 1D with smeared data
365	data = self.page_finder[current_pg].get_plotted_data()
366	model = self.page_finder[current_pg].get_model()
367	## if user has already selected a model to plot
368	## redraw the model with data smeared
369
370	smear =self.page_finder[current_pg].get_smearer()
371	self.draw_model( model=model, data= data, smearer= smear,
372	qmin= qmin, qmax= qmax)
373
374
375
376	def draw_model(self, model, data= None,smearer= None,
377	enable1D= True, enable2D= False,
378	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
379	"""
380	Draw model.
381	@param model: the model to draw
382	@param name: the name of the model to draw
383	@param data: the data on which the model is based to be drawn
384	@param description: model's description
385	@param enable1D: if true enable drawing model 1D
386	@param enable2D: if true enable drawing model 2D
387	@param qmin: Range's minimum value to draw model
388	@param qmax: Range's maximum value to draw model
389	@param qstep: number of step to divide the x and y-axis
390
391	"""
392	## draw model 1D with no loaded data
393	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
394	qmin= qmin, qmax= qmax, qstep= qstep )
395	## draw model 2D with no initial data
396	self._draw_model2D(model=model,
397	data = data,
398	enable2D= enable2D,
399	qmin=qmin,
400	qmax=qmax,
401	qstep=qstep)
402
403
404
405	def onFit(self):
406	"""
407	perform fit
408	"""
409	## count the number of fitproblem schedule to fit
410	fitproblem_count= 0
411	for value in self.page_finder.itervalues():
412	if value.get_scheduled()==1:
413	fitproblem_count += 1
414
415	## if simultaneous fit change automatically the engine to park
416	if fitproblem_count >1:
417	self._on_change_engine(engine='park')
418
419	from sans.fit.Fitting import Fit
420	self.fitter= Fit(self._fit_engine)
421
422	if self._fit_engine=="park":
423	engineType="Simultaneous Fit"
424	else:
425	engineType="Single Fit"
426
427	fproblemId = 0
428	current_pg=None
429	for page, value in self.page_finder.iteritems():
430	try:
431	if value.get_scheduled()==1:
432	#Get list of parameters name to fit
433	pars = []
434	templist = []
435	templist = page.get_param_list()
436	for element in templist:
437	name = str(element[1])
438	pars.append(name)
439	#Set Engine (model , data) related to the page on
440	self._fit_helper( current_pg=page, value=value,pars=pars,
441	id=fproblemId, title= engineType )
442	fproblemId += 1
443	current_pg= page
444	except:
445	msg= "%s error: %s" % (engineType,sys.exc_value)
446	wx.PostEvent(self.parent, StatusEvent(status= msg ))
447	return
448	#Do the simultaneous fit
449	try:
450	## If a thread is already started, stop it
451	if self.calc_fit!= None and self.calc_fit.isrunning():
452	self.calc_fit.stop()
453
454	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
455	curr_thread=self.calc_fit,type="start"))
456	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
457	curr_thread=self.calc_fit,type="progress"))
458	## perform single fit
459	if self._fit_engine=="scipy":
460	qmin, qmax= current_pg.get_range()
461	self.calc_fit=FitThread(parent =self.parent,
462	fn= self.fitter,
463	cpage=current_pg,
464	pars= pars,
465	completefn= self._single_fit_completed,
466	updatefn=self._updateFit)
467
468	else:
469	## Perform more than 1 fit at the time
470	self.calc_fit=FitThread(parent =self.parent,
471	fn= self.fitter,
472	completefn= self._simul_fit_completed,
473	updatefn=self._updateFit)
474	self.calc_fit.queue()
475	self.calc_fit.ready(2.5)
476
477	except:
478	msg= "%s error: %s" % (engineType,sys.exc_value)
479	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
480	return
481
482
483	def _add_page_onmenu(self, name,fitproblem=None):
484	"""
485	Add name of a closed page of fitpanel in a menu
486	"""
487	list = self.menu1.GetMenuItems()
488	for item in list:
489	if name == item.GetItemLabel():
490	self.closed_page_dict[name][1] = fitproblem
491
492	if not name in self.closed_page_dict.keys():
493	# Post paramters
494	event_id = wx.NewId()
495	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
496	self.closed_page_dict[name]= [event_id, fitproblem]
497	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
498
499
500	def _open_closed_page(self, event):
501	"""
502	reopen a closed page
503	"""
504	for name, value in self.closed_page_dict.iteritems():
505	if event.GetId() in value:
506	id,fitproblem = value
507	if name !="Model":
508	data= fitproblem.get_fit_data()
509	page = self.fit_panel.add_fit_page(data= data,reset=True)
510	if fitproblem != None:
511	self.page_finder[page]=fitproblem
512	if self.sim_page != None:
513	self.sim_page.draw_page()
514
515	else:
516	model = fitproblem
517	self.fit_panel.add_model_page(model=model, topmenu=True,
518	reset= True)
519	break
520
521
522	def _reset_schedule_problem(self, value=0):
523	"""
524	unschedule or schedule all fitproblem to be fit
525	"""
526	for page, fitproblem in self.page_finder.iteritems():
527	fitproblem.schedule_tofit(value)
528
529	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
530	"""
531	helper for fitting
532	"""
533	metadata = value.get_fit_data()
534	model = value.get_model()
535	smearer = value.get_smearer()
536	qmin , qmax = value.get_range()
537	self.fit_id =id
538	#Create list of parameters for fitting used
539	templist=[]
540	pars=pars
541	try:
542	## create a park model and reset parameter value if constraint
543	## is given
544	new_model = Model(model)
545	param = value.get_model_param()
546	if len(param)>0:
547	for item in param:
548	param_value = item[1]
549	param_name = item[0]
550	## check if constraint
551	if param_value !=None and param_name != None:
552	new_model.parameterset[ param_name].set( param_value )
553
554	#Do the single fit
555	self.fitter.set_model(new_model, self.fit_id, pars)
556
557	self.fitter.set_data(data=metadata,Uid=self.fit_id,
558	smearer=smearer,qmin= qmin,qmax=qmax )
559
560	self.fitter.select_problem_for_fit(Uid= self.fit_id,
561	value= value.get_scheduled())
562	value.clear_model_param()
563	except:
564	msg= title +" error: %s" % sys.exc_value
565	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
566	return
567
568	def _onSelect(self,event):
569	"""
570	when Select data to fit a new page is created .Its reference is
571	added to self.page_finder
572	"""
573	self.panel = event.GetEventObject()
574	for plottable in self.panel.graph.plottables:
575
576	if plottable.name == self.panel.graph.selected_plottable:
577	#if not hasattr(plottable, "is_data"):
578
579	if plottable.__class__.__name__=="Theory1D":
580	dy=numpy.zeros(len(plottable.y))
581	if hasattr(plottable, "dy"):
582	dy= copy.deepcopy(plottable.dy)
583
584	item= self.copy_data(plottable, dy)
585	item.group_id += "data1D"
586	item.id +="data1D"
587	item.is_data= False
588	title = item.name
589	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
590	else:
591	item= self.copy_data(plottable, plottable.dy)
592	item.is_data=True
593
594	## put the errors values back to the model if the errors were hiden
595	## before sending them to the fit engine
596	if len(self.err_dy)>0:
597	if item.name in self.err_dy.iterkeys():
598	dy= self.err_dy[item.name]
599	data= self.copy_data(item, dy)
600	data.is_data= item.is_data
601	else:
602	data= self.copy_data(item)
603	data.is_data= item.is_data
604
605
606	else:
607	if item.dy==None:
608	dy= numpy.zeros(len(item.y))
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	else:
616	## Data2D case
617	if not hasattr(plottable, "is_data"):
618	item= copy.deepcopy(plottable)
619	item.group_id += "data2D"
620	item.id +="data2D"
621	item.is_data= False
622	title = item.name
623	title += " Fit"
624	data = item
625	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
626	else:
627	item= copy.deepcopy(plottable )
628	data= copy.deepcopy(plottable )
629	item.is_data=True
630	data.is_data=True
631	## create anew page
632	if item.name == self.panel.graph.selected_plottable or\
633	item.__class__.__name__ is "Data2D":
634	try:
635	page = self.fit_panel.add_fit_page(data)
636	# add data associated to the page created
637	if page !=None:
638	#create a fitproblem storing all link to data,model,page creation
639	if not page in self.page_finder.keys():
640	self.page_finder[page]= FitProblem()
641	## item is almost the same as data but contains
642	## axis info for plotting
643	self.page_finder[page].add_plotted_data(item)
644	self.page_finder[page].add_fit_data(data)
645
646	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
647	else:
648	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
649	except:
650	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
651	%sys.exc_value))
652	return
653
654
655	def _updateFit(self):
656	"""
657	Is called when values of result are available
658	"""
659	##Sending a progess message to the status bar
660	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
661
662	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
663	"""
664	Display fit result on one page of the notebook.
665	@param result: result of fit
666	@param pars: list of names of parameters fitted
667	@param current_pg: the page where information will be displayed
668	@param qmin: the minimum value of x to replot the model
669	@param qmax: the maximum value of x to replot model
670
671	"""
672	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
673	complete! " ))
674
675	try:
676	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
677	msg= "Fitting did not converge!!!"
678	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
679	return
680	for page, value in self.page_finder.iteritems():
681	if page==cpage :
682	model= value.get_model()
683	break
684	i = 0
685	for name in pars:
686	if result.pvec.__class__==numpy.float64:
687	model.setParam(name,result.pvec)
688	else:
689	model.setParam(name,result.pvec[i])
690	i += 1
691	## Reset values of the current page to fit result
692	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
693	## plot the current model with new param
694	metadata = self.page_finder[cpage].get_fit_data()
695	model = self.page_finder[cpage].get_model()
696	qmin, qmax= self.page_finder[cpage].get_range()
697	smearer =self.page_finder[cpage].get_smearer()
698	#Replot models
699	msg= "Single Fit completed. plotting... %s:"%model.name
700	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
701	self.draw_model( model=model, data= metadata, smearer= smearer,
702	qmin= qmin, qmax= qmax)
703	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
704	except:
705	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
706	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
707	return
708
709
710	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
711	"""
712	Parameter estimation completed,
713	display the results to the user
714	@param alpha: estimated best alpha
715	@param elapsed: computation time
716	"""
717	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
718	complete "))
719
720	## fit more than 1 model at the same time
721	try:
722	for page, value in self.page_finder.iteritems():
723	if value.get_scheduled()==1:
724	model = value.get_model()
725	metadata = value.get_plotted_data()
726	small_out = []
727	small_cov = []
728	i = 0
729	#Separate result in to data corresponding to each page
730	for p in result.parameters:
731	model_name,param_name = self.split_string(p.name)
732	if model.name == model_name:
733	p_name= model.name+"."+param_name
734	if p.name == p_name:
735	small_out.append(p.value )
736	model.setParam(param_name,p.value)
737
738	small_cov.append(p.stderr)
739	else:
740	value= model.getParam(param_name)
741	small_out.append(value )
742	small_cov.append(None)
743	# Display result on each page
744	page.onsetValues(result.fitness, small_out,small_cov)
745	#Replot models
746	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
747	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
748	qmin, qmax= page.get_range()
749	smearer =self.page_finder[page].get_smearer()
750	self.draw_model( model=model, data= metadata, smearer=smearer,
751	qmin= qmin, qmax= qmax)
752	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
753	except:
754	msg= "Simultaneous Fit completed"
755	msg +=" but Following error occurred:%s"%sys.exc_value
756	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
757	return
758
759
760
761	def _on_show_panel(self, event):
762	print "_on_show_panel: fitting"
763
764
765	def _onset_engine_park(self,event):
766	"""
767	set engine to park
768	"""
769	self._on_change_engine('park')
770
771
772	def _onset_engine_scipy(self,event):
773	"""
774	set engine to scipy
775	"""
776	self._on_change_engine('scipy')
777
778	def _on_slicer_event(self, event):
779	"""
780	Receive a panel as event and send it to guiframe
781	@param event: event containing a panel
782	"""
783	if event.panel!=None:
784	new_panel = event.panel
785	# Set group ID if available
786	event_id = self.parent.popup_panel(new_panel)
787	#self.menu3.Append(event_id, new_panel.window_caption,
788	# "Show %s plot panel" % new_panel.window_caption)
789	# Set UID to allow us to reference the panel later
790	new_panel.uid = event_id
791	self.mypanels.append(new_panel)
792	return
793
794
795	def _return_engine_type(self):
796	"""
797	return the current type of engine
798	"""
799	return self._fit_engine
800
801
802	def _on_change_engine(self, engine='park'):
803	"""
804	Allow to select the type of engine to perform fit
805	@param engine: the key work of the engine
806	"""
807	## saving fit engine name
808	self._fit_engine = engine
809	## change menu item state
810	if engine=="park":
811	self.menu1.FindItemByPosition(0).Check(False)
812	self.menu1.FindItemByPosition(1).Check(True)
813	else:
814	self.menu1.FindItemByPosition(0).Check(True)
815	self.menu1.FindItemByPosition(1).Check(False)
816
817	## post a message to status bar
818	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
819
820	## Bind every open fit page with a newevent to know the current fitting engine
821	import fitpage
822	event= fitpage.FitterTypeEvent()
823	event.type = self._fit_engine
824	for key in self.page_finder.keys():
825	wx.PostEvent(key, event)
826
827
828	def _on_model_panel(self, evt):
829	"""
830	react to model selection on any combo box or model menu.plot the model
831	@param evt: wx.combobox event
832	"""
833	model = evt.model
834
835	if model ==None:
836	return
837
838	current_pg = self.fit_panel.get_current_page()
839	## make sure nothing is done on self.sim_page
840	## example trying to call set_panel on self.sim_page
841	if current_pg != self.sim_page :
842
843	if self.page_finder[current_pg].get_model()== None :
844
845	model.name="M"+str(self.index_model)
846	self.index_model += 1
847	else:
848	model.name= self.page_finder[current_pg].get_model().name
849
850	metadata = self.page_finder[current_pg].get_plotted_data()
851
852	# save the name containing the data name with the appropriate model
853	self.page_finder[current_pg].set_model(model)
854	qmin, qmax= current_pg.get_range()
855	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
856	smearer= self.page_finder[current_pg].get_smearer()
857	# save model name
858	self.draw_model( model=model,smearer=smearer,
859	data= metadata, qmin=qmin, qmax=qmax)
860
861	if self.sim_page!=None:
862	self.sim_page.draw_page()
863
864
865
866	def _on_model_menu(self, evt):
867	"""
868	Plot a theory from a model selected from the menu
869	@param evt: wx.menu event
870	"""
871	model = evt.model
872
873	# Create a model page. If a new page is created, the model
874	# will be plotted automatically. If a page already exists,
875	# the content will be updated and the plot refreshed
876	self.fit_panel.add_model_page(model,topmenu=True)
877
878
879
880
881	def _update1D(self,x, output):
882	"""
883	Update the output of plotting model 1D
884	"""
885	wx.PostEvent(self.parent, StatusEvent(status="Plot \
886	#updating ... ",type="update"))
887	self.calc_thread.ready(0.01)
888
889	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
890	"""
891	fill Data2D with default value
892	@param theory: Data2D to fill
893	"""
894	from DataLoader.data_info import Detector, Source
895
896	detector = Detector()
897	theory.detector.append(detector)
898
899	theory.detector[0].distance=1e+32
900	theory.source= Source()
901	theory.source.wavelength=2*math.pi/1e+32
902
903	## Create detector for Model 2D
904	xmax=2theory.detector[0].distancemath.atan(\
905	qmax/(4*math.pi/theory.source.wavelength))
906
907	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
908	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
909	theory.detector[0].beam_center.x= qmax
910	theory.detector[0].beam_center.y= qmax
911	## create x_bins and y_bins of the model 2D
912	distance = theory.detector[0].distance
913	pixel = qstep/2-1
914	theta = pixel / distance / qstep#100.0
915	wavelength = theory.source.wavelength
916	pixel_width_x = theory.detector[0].pixel_size.x
917	pixel_width_y = theory.detector[0].pixel_size.y
918	center_x = theory.detector[0].beam_center.x/pixel_width_x
919	center_y = theory.detector[0].beam_center.y/pixel_width_y
920
921
922	size_x, size_y= numpy.shape(theory.data)
923	for i_x in range(size_x):
924	theta = (i_x-center_x)*pixel_width_x / distance
925	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
926	theory.x_bins.append(qx)
927	for i_y in range(size_y):
928	theta = (i_y-center_y)*pixel_width_y / distance
929	qy =4.0math.pi/wavelength math.tan(theta/2.0)
930	theory.y_bins.append(qy)
931
932	theory.group_id ="Model"
933	theory.id ="Model"
934	## determine plot boundaries
935	theory.xmin= -qmax
936	theory.xmax= qmax
937	theory.ymin= -qmax
938	theory.ymax= qmax
939
940
941	def _get_plotting_info(self, data=None):
942	"""
943	get plotting info from data if data !=None
944	else use some default
945	"""
946	my_info = PlotInfo()
947	if data !=None:
948	if hasattr(data,"info"):
949	x_name, x_units = data.get_xaxis()
950	y_name, y_units = data.get_yaxis()
951
952	my_info._xunit = x_units
953	my_info._xaxis = x_name
954	my_info._yunit = y_units
955	my_info._yaxis = y_name
956
957	my_info.title= data.name
958	if hasattr(data, "info"):
959	my_info.info= data.info
960	if hasattr(data, "group_id"):
961	my_info.group_id= data.group_id
962
963	return my_info
964
965	def _complete1D(self, x,y, elapsed,model,data=None):
966	"""
967	Complete plotting 1D data
968	"""
969
970	try:
971
972	new_plot = Theory1D(x=x, y=y)
973	my_info = self._get_plotting_info( data)
974	new_plot.name = model.name
975	new_plot.id = my_info.id
976	new_plot.group_id = my_info.group_id
977
978	new_plot.xaxis( my_info._xaxis, my_info._xunit)
979	new_plot.yaxis( my_info._yaxis, my_info._yunit)
980	if data!=None:
981	if new_plot.id == data.id:
982	new_plot.id += "Model"
983	new_plot.is_data =False
984
985	from DataLoader.data_info import Data1D
986	info= Data1D(x= new_plot.x, y=new_plot.y)
987	info.title= new_plot.name
988	title= my_info.title
989	info.xaxis(new_plot._xaxis, new_plot._xunit)
990	info.yaxis( new_plot._yaxis, new_plot._yunit)
991	new_plot.info = info
992	# Pass the reset flag to let the plotting event handler
993	# know that we are replacing the whole plot
994	if title== None:
995	title = "Analytical model 1D "
996	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
997	title= str(title), reset=True ))
998	else:
999	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1000	title= str(title)))
1001	msg = "Plot 1D complete !"
1002	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1003	except:
1004	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1005	msg+= " %s"%sys.exc_value
1006	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1007	return
1008
1009
1010
1011
1012	def _update2D(self, output,time=None):
1013	"""
1014	Update the output of plotting model
1015	"""
1016	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1017	#updating ... ",type="update"))
1018	self.calc_thread.ready(0.01)
1019
1020
1021	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1022	"""
1023	Complete get the result of modelthread and create model 2D
1024	that can be plot.
1025	"""
1026
1027
1028	err_image = numpy.zeros(numpy.shape(image))
1029
1030	theory= Data2D(image= image , err_image= err_image)
1031	theory.name= model.name
1032
1033	if data ==None:
1034	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1035
1036	else:
1037	theory.id= data.id+"Model"
1038	theory.group_id= data.name+"Model"
1039	theory.x_bins= data.x_bins
1040	theory.y_bins= data.y_bins
1041	theory.detector= data.detector
1042	theory.source= data.source
1043	theory.is_data =False
1044	## plot boundaries
1045	theory.ymin= data.ymin
1046	theory.ymax= data.ymax
1047	theory.xmin= data.xmin
1048	theory.xmax= data.xmax
1049
1050
1051	## plot
1052	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1053	title="Analytical model 2D ", reset=True ))
1054	msg = "Plot 2D complete !"
1055	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1056
1057	def _on_data_error(self, event):
1058	"""
1059	receives and event from plotting plu-gins to store the data name and
1060	their errors of y coordinates for 1Data hide and show error
1061	"""
1062	self.err_dy= event.err_dy
1063
1064	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1065	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1066	"""
1067	draw model in 2D
1068	@param model: instance of the model to draw
1069	@param description: the description of the model
1070	@param enable2D: when True allows to draw model 2D
1071	@param qmin: the minimum value to draw model 2D
1072	@param qmax: the maximum value to draw model 2D
1073	@param qstep: the number of division of Qx and Qy of the model to draw
1074
1075	"""
1076
1077	x= numpy.linspace(start= -1*qmax,
1078	stop= qmax,
1079	num= qstep,
1080	endpoint=True )
1081	y = numpy.linspace(start= -1*qmax,
1082	stop= qmax,
1083	num= qstep,
1084	endpoint=True )
1085	## use data info instead
1086	if data !=None:
1087	## check if data2D to plot
1088	if hasattr(data, "x_bins"):
1089	enable2D = True
1090	x= data.x_bins
1091	y= data.y_bins
1092
1093	if not enable2D:
1094	return
1095	try:
1096	from model_thread import Calc2D
1097	## If a thread is already started, stop it
1098	if self.calc_2D != None and self.calc_2D.isrunning():
1099	self.calc_2D.stop()
1100	self.calc_2D = Calc2D( x= x,
1101	y= y,
1102	model= model,
1103	data = data,
1104	qmin= qmin,
1105	qmax= qmax,
1106	qstep= qstep,
1107	completefn= self._complete2D,
1108	updatefn= self._update2D )
1109	self.calc_2D.queue()
1110
1111	except:
1112	msg= " Error occurred when drawing %s Model 2D: "%model.name
1113	msg+= " %s"%sys.exc_value
1114	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1115	return
1116
1117	def _draw_model1D(self, model, data=None, smearer= None,
1118	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1119	"""
1120	Draw model 1D from loaded data1D
1121	@param data: loaded data
1122	@param model: the model to plot
1123	"""
1124
1125	x= numpy.linspace(start= qmin,
1126	stop= qmax,
1127	num= qstep,
1128	endpoint=True
1129	)
1130	if data!=None:
1131	## check for data2D
1132	if hasattr(data,"x_bins"):
1133	return
1134	x = data.x
1135	if qmin == DEFAULT_QMIN :
1136	qmin = min(data.x)
1137	if qmax == DEFAULT_QMAX:
1138	qmax = max(data.x)
1139
1140
1141	if not enable1D:
1142	return
1143
1144	try:
1145	from model_thread import Calc1D
1146	## If a thread is already started, stop it
1147	if self.calc_1D!= None and self.calc_1D.isrunning():
1148	self.calc_1D.stop()
1149	self.calc_1D= Calc1D( x= x,
1150	data = data,
1151	model= model,
1152	qmin = qmin,
1153	qmax = qmax,
1154	smearer = smearer,
1155	completefn = self._complete1D,
1156	updatefn = self._update1D )
1157	self.calc_1D.queue()
1158
1159	except:
1160	msg= " Error occurred when drawing %s Model 1D: "%model.name
1161	msg+= " %s"%sys.exc_value
1162	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1163	return
1164
1165
1166
1167
1168
1169	if __name__ == "__main__":
1170	i = Plugin()
1171
1172
1173
1174

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 1f1da702

Download in other formats: