fitting.py @ 3fef0a8

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 3fef0a8 was 3fef0a8, checked in by Gervaise Alina <gervyh@…>, 15 years ago
fitting for parameters orientation disable
Property mode set to `100644`
File size: 42.0 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 3fef0a8

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