fitting.py @ eef2e0ed

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 eef2e0ed was 0a518e4c, checked in by Gervaise Alina <gervyh@…>, 15 years ago
after fitting remove error txtcrtl
Property mode set to `100644`
File size: 44.6 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ eef2e0ed

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