fitting.py @ a8088d7

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 a8088d7 was a8088d7, checked in by Gervaise Alina <gervyh@…>, 15 years ago
plotting all 1D data as Data1D
Property mode set to `100644`
File size: 42.0 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
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	(id4,self.menu3,"Averagers"),
132	(id2, menu2, "Model")]
133
134	def on_add_sim_page(self, event):
135	"""
136	Create a page to access simultaneous fit option
137	"""
138	if self.sim_page !=None:
139	msg= "Simultaneous Fit page already opened"
140	wx.PostEvent(self.parent, StatusEvent(status= msg))
141	return
142
143	self.sim_page= self.fit_panel.add_sim_page()
144
145
146
147	def help(self, evt):
148	"""
149	Show a general help dialog.
150	TODO: replace the text with a nice image
151	"""
152	from helpPanel import HelpWindow
153	frame = HelpWindow(None, -1, 'HelpWindow')
154	frame.Show(True)
155
156
157	def get_context_menu(self, graph=None):
158	"""
159	Get the context menu items available for P(r)
160	@param graph: the Graph object to which we attach the context menu
161	@return: a list of menu items with call-back function
162	"""
163	self.graph=graph
164	for item in graph.plottables:
165	if item.__class__.__name__ is "Data2D":
166	return [["Select data for Fitting",\
167	"Dialog with fitting parameters ", self._onSelect]]
168	else:
169
170	if item.name==graph.selected_plottable :
171	if not hasattr(item, "group_id"):
172	return []
173	return [["Select data for Fitting", \
174	"Dialog with fitting parameters ", self._onSelect]]
175	return []
176
177
178	def get_panels(self, parent):
179	"""
180	Create and return a list of panel objects
181	"""
182	self.parent = parent
183	# Creation of the fit panel
184	self.fit_panel = FitPanel(self.parent, -1)
185	#Set the manager for the main panel
186	self.fit_panel.set_manager(self)
187	# List of windows used for the perspective
188	self.perspective = []
189	self.perspective.append(self.fit_panel.window_name)
190	# take care of saving data, model and page associated with each other
191	self.page_finder = {}
192	#index number to create random model name
193	self.index_model = 0
194	self.index_theory= 0
195	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
196	self.parent.Bind( ERR_DATA, self._on_data_error)
197
198	#Send the fitting panel to guiframe
199	self.mypanels.append(self.fit_panel)
200	return self.mypanels
201
202
203
204	def get_perspective(self):
205	"""
206	Get the list of panel names for this perspective
207	"""
208	return self.perspective
209
210
211	def on_perspective(self, event):
212	"""
213	Call back function for the perspective menu item.
214	We notify the parent window that the perspective
215	has changed.
216	"""
217	self.parent.set_perspective(self.perspective)
218
219
220	def post_init(self):
221	"""
222	Post initialization call back to close the loose ends
223	[Somehow openGL needs this call]
224	"""
225	self.parent.set_perspective(self.perspective)
226
227
228	def copy_data(self, item, dy):
229	"""
230	receive a data 1D and the list of errors on dy
231	and create a new data1D data
232	@param return
233	"""
234	detector=None
235	source=None
236	info = None
237	id=None
238	dxl=None
239	dxw=None
240	if hasattr(item, "dxl"):
241	dxl = copy.deepcopy(item.dxl)
242	if hasattr(item, "dxw"):
243	dxw = copy.deepcopy(item.dxw)
244	if hasattr(item, "detector"):
245	detector = copy.deepcopy(item.detector)
246	if hasattr(item, "source"):
247	source = copy.deepcopy(item.source)
248	if hasattr(item ,"info"):
249	info= copy.deepcopy(item.info)
250	if hasattr(item,"id"):
251	id = copy.deepcopy(item.id)
252
253	from sans.guiframe import dataFitting
254	if item.__class__.__name__=="Data1D":
255	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
256	else:
257	data= dataFitting.Theory1D(x=item.x, y=item.y, dxl=dxl, dxw=dxw)
258	data.name = item.name
259	data.detector = detector
260	data.source = source
261	## allow to highlight data when plotted
262	data.interactive = copy.deepcopy(item.interactive)
263	## when 2 data have the same id override the 1 st plotted
264	data.id = id
265	## info is a reference to output of dataloader that can be used
266	## to save data 1D as cansas xml file
267	data.info= info
268	## If the data file does not tell us what the axes are, just assume...
269	data.xaxis(copy.deepcopy(item._xaxis),copy.deepcopy(item._xunit))
270	data.yaxis(copy.deepcopy(item._yaxis),copy.deepcopy(item._yunit))
271	##group_id specify on which panel to plot this data
272	data.group_id = copy.deepcopy(item.group_id)
273	return data
274
275	def set_fit_range(self, page, qmin, qmax):
276	"""
277	Set the fitting range of a given page
278	"""
279	if page in self.page_finder.iterkeys():
280	fitproblem= self.page_finder[page]
281	fitproblem.set_range(qmin= qmin, qmax= qmax)
282
283	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
284	"""
285	Set the fit problem field to 0 or 1 to schedule that problem to fit.
286	Schedule the specified fitproblem or get the fit problem related to
287	the current page and set value.
288	@param value : integer 0 or 1
289	@param fitproblem: fitproblem to schedule or not to fit
290	"""
291	if fitproblem !=None:
292	fitproblem.schedule_tofit(value)
293	else:
294	if page in self.page_finder.iterkeys():
295	fitproblem= self.page_finder[page]
296	fitproblem.schedule_tofit(value)
297
298
299
300	def get_page_finder(self):
301	""" @return self.page_finder used also by simfitpage.py"""
302	return self.page_finder
303
304
305	def set_page_finder(self,modelname,names,values):
306	"""
307	Used by simfitpage.py to reset a parameter given the string constrainst.
308	@param modelname: the name ot the model for with the parameter has to reset
309	@param value: can be a string in this case.
310	@param names: the paramter name
311	@note: expecting park used for fit.
312	"""
313	sim_page= self.sim_page
314	for page, value in self.page_finder.iteritems():
315	if page != sim_page:
316	list=value.get_model()
317	model = list[0]
318	if model.name== modelname:
319	value.set_model_param(names,values)
320	break
321
322
323
324	def split_string(self,item):
325	"""
326	receive a word containing dot and split it. used to split parameterset
327	name into model name and parameter name example:
328	paramaterset (item) = M1.A
329	@return model_name =M1 , parameter name =A
330	"""
331	if string.find(item,".")!=-1:
332	param_names= re.split("\.",item)
333	model_name=param_names[0]
334	param_name=param_names[1]
335	return model_name,param_name
336
337
338	def stop_fit(self):
339	"""
340	Stop the fit engine
341	"""
342	if self.calc_fit!= None and self.calc_thread.isrunning():
343	self.calc_thread.stop()
344	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
345	is cancelled" , type="stop"))
346
347
348
349	def set_smearer(self,smearer, qmin=None, qmax=None):
350	"""
351	Get a smear object and store it to a fit problem
352	@param smearer: smear object to allow smearing data
353	"""
354	current_pg=self.fit_panel.get_current_page()
355	self.page_finder[current_pg].set_smearer(smearer)
356	## draw model 1D with smeared data
357	data = self.page_finder[current_pg].get_plotted_data()
358	model = self.page_finder[current_pg].get_model()
359	## if user has already selected a model to plot
360	## redraw the model with data smeared
361
362	smear =self.page_finder[current_pg].get_smearer()
363	self.draw_model( model=model, data= data, smearer= smear,
364	qmin= qmin, qmax= qmax)
365
366
367
368	def draw_model(self, model, data= None,smearer= None,
369	enable1D= True, enable2D= False,
370	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
371	"""
372	Draw model.
373	@param model: the model to draw
374	@param name: the name of the model to draw
375	@param data: the data on which the model is based to be drawn
376	@param description: model's description
377	@param enable1D: if true enable drawing model 1D
378	@param enable2D: if true enable drawing model 2D
379	@param qmin: Range's minimum value to draw model
380	@param qmax: Range's maximum value to draw model
381	@param qstep: number of step to divide the x and y-axis
382
383	"""
384	## draw model 1D with no loaded data
385	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
386	qmin= qmin, qmax= qmax, qstep= qstep )
387	## draw model 2D with no initial data
388	self._draw_model2D(model=model,
389	data = data,
390	enable2D= enable2D,
391	qmin=qmin,
392	qmax=qmax,
393	qstep=qstep)
394
395
396
397	def onFit(self):
398	"""
399	perform fit
400	"""
401	## count the number of fitproblem schedule to fit
402	fitproblem_count= 0
403	for value in self.page_finder.itervalues():
404	if value.get_scheduled()==1:
405	fitproblem_count += 1
406
407	## if simultaneous fit change automatically the engine to park
408	if fitproblem_count >1:
409	self._on_change_engine(engine='park')
410
411	from sans.fit.Fitting import Fit
412	self.fitter= Fit(self._fit_engine)
413
414	if self._fit_engine=="park":
415	engineType="Simultaneous Fit"
416	else:
417	engineType="Single Fit"
418
419	fproblemId = 0
420	current_pg=None
421	for page, value in self.page_finder.iteritems():
422	try:
423	if value.get_scheduled()==1:
424	#Get list of parameters name to fit
425	pars = []
426	templist = []
427	templist = page.get_param_list()
428	for element in templist:
429	name = str(element[0].GetLabelText())
430	pars.append(name)
431	#Set Engine (model , data) related to the page on
432	self._fit_helper( current_pg=page, value=value,pars=pars,
433	id=fproblemId, title= engineType )
434	fproblemId += 1
435	current_pg= page
436	except:
437	msg= "%s error: %s" % (engineType,sys.exc_value)
438	wx.PostEvent(self.parent, StatusEvent(status= msg ))
439	return
440	#Do the simultaneous fit
441	try:
442	## If a thread is already started, stop it
443	if self.calc_fit!= None and self.calc_fit.isrunning():
444	self.calc_fit.stop()
445	## perform single fit
446	if self._fit_engine=="scipy":
447	qmin, qmax= current_pg.get_range()
448	self.calc_fit=FitThread(parent =self.parent,
449	fn= self.fitter,
450	cpage=current_pg,
451	pars= pars,
452	completefn= self._single_fit_completed,
453	updatefn=None)
454
455	else:
456	## Perform more than 1 fit at the time
457	self.calc_fit=FitThread(parent =self.parent,
458	fn= self.fitter,
459	completefn= self._simul_fit_completed,
460	updatefn=None)
461	self.calc_fit.queue()
462	self.calc_fit.ready(2.5)
463
464	except:
465	msg= "%s error: %s" % (engineType,sys.exc_value)
466	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
467	return
468
469
470	def _add_page_onmenu(self, name,fitproblem=None):
471	"""
472	Add name of a closed page of fitpanel in a menu
473	"""
474	list = self.menu1.GetMenuItems()
475	for item in list:
476	if name == item.GetItemLabel():
477	self.closed_page_dict[name][1] = fitproblem
478
479	if not name in self.closed_page_dict.keys():
480	# Post paramters
481	event_id = wx.NewId()
482	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
483	self.closed_page_dict[name]= [event_id, fitproblem]
484	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
485
486
487	def _open_closed_page(self, event):
488	"""
489	reopen a closed page
490	"""
491	for name, value in self.closed_page_dict.iteritems():
492	if event.GetId() in value:
493	id,fitproblem = value
494	if name !="Model":
495	data= fitproblem.get_fit_data()
496	page = self.fit_panel.add_fit_page(data= data,reset=True)
497	if fitproblem != None:
498	self.page_finder[page]=fitproblem
499	if self.sim_page != None:
500	self.sim_page.draw_page()
501
502	else:
503	model = fitproblem
504	self.fit_panel.add_model_page(model=model, topmenu=True,
505	reset= True)
506	break
507
508
509	def _reset_schedule_problem(self, value=0):
510	"""
511	unschedule or schedule all fitproblem to be fit
512	"""
513	for page, fitproblem in self.page_finder.iteritems():
514	fitproblem.schedule_tofit(value)
515
516	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
517	"""
518	helper for fitting
519	"""
520	metadata = value.get_fit_data()
521	model = value.get_model()
522	smearer = value.get_smearer()
523	qmin , qmax = value.get_range()
524	self.fit_id =id
525	#Create list of parameters for fitting used
526	templist=[]
527	pars=pars
528	try:
529	## create a park model and reset parameter value if constraint
530	## is given
531	new_model = Model(model)
532	param = value.get_model_param()
533	if len(param)>0:
534	for item in param:
535	param_value = item[1]
536	param_name = item[0]
537	## check if constraint
538	if param_value !=None and param_name != None:
539	new_model.parameterset[ param_name].set( param_value )
540
541	#Do the single fit
542	self.fitter.set_model(new_model, self.fit_id, pars)
543
544	self.fitter.set_data(data=metadata,Uid=self.fit_id,
545	smearer=smearer,qmin= qmin,qmax=qmax )
546
547	self.fitter.select_problem_for_fit(Uid= self.fit_id,
548	value= value.get_scheduled())
549	value.clear_model_param()
550	except:
551	msg= title +" error: %s" % sys.exc_value
552	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
553	return
554
555	def _onSelect(self,event):
556	"""
557	when Select data to fit a new page is created .Its reference is
558	added to self.page_finder
559	"""
560	self.panel = event.GetEventObject()
561	for item in self.panel.graph.plottables:
562
563	if item.name == self.panel.graph.selected_plottable:
564	## put the errors values back to the model if the errors were hiden
565	## before sending them to the fit engine
566	if len(self.err_dy)>0:
567	if item.name in self.err_dy.iterkeys():
568	dy= self.err_dy[item.name]
569	data= self.copy_data(item, dy)
570	else:
571	data= copy.deepcopy(item)
572	else:
573	if item.dy==None:
574	dy= numpy.zeros(len(item.y))
575	data= self.copy_data(item, dy)
576	else:
577	data= copy.deepcopy(item)
578	else:
579	data= copy.deepcopy(item)
580	## create anew page
581	if item.name == self.panel.graph.selected_plottable or\
582	item.__class__.__name__ is "Data2D":
583	try:
584	page = self.fit_panel.add_fit_page(data)
585	# add data associated to the page created
586	if page !=None:
587	#create a fitproblem storing all link to data,model,page creation
588	self.page_finder[page]= FitProblem()
589	## item is almost the same as data but contains
590	## axis info for plotting
591	self.page_finder[page].add_plotted_data(item)
592	self.page_finder[page].add_fit_data(data)
593
594	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
595	else:
596	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
597	except:
598	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
599	%sys.exc_value))
600	return
601
602	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
603	"""
604	Display fit result on one page of the notebook.
605	@param result: result of fit
606	@param pars: list of names of parameters fitted
607	@param current_pg: the page where information will be displayed
608	@param qmin: the minimum value of x to replot the model
609	@param qmax: the maximum value of x to replot model
610
611	"""
612	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
613	complete! " , type="stop"))
614	try:
615	for page, value in self.page_finder.iteritems():
616	if page==cpage :
617	model= value.get_model()
618	break
619	i = 0
620	for name in pars:
621	if result.pvec.__class__==numpy.float64:
622	model.setParam(name,result.pvec)
623	else:
624	model.setParam(name,result.pvec[i])
625	i += 1
626	## Reset values of the current page to fit result
627	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
628	## plot the current model with new param
629	metadata = self.page_finder[cpage].get_fit_data()
630	model = self.page_finder[cpage].get_model()
631	qmin, qmax= self.page_finder[cpage].get_range()
632	smearer =self.page_finder[cpage].get_smearer()
633	#Replot models
634	msg= "Single Fit completed. plotting... %s:"%model.name
635	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
636	self.draw_model( model=model, data= metadata, smearer= smearer,
637	qmin= qmin, qmax= qmax)
638
639	except:
640	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
641	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
642	return
643
644
645	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
646	"""
647	Parameter estimation completed,
648	display the results to the user
649	@param alpha: estimated best alpha
650	@param elapsed: computation time
651	"""
652	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
653	complete ", type="stop"))
654
655	## fit more than 1 model at the same time
656	try:
657	for page, value in self.page_finder.iteritems():
658	if value.get_scheduled()==1:
659	model = value.get_model()
660	metadata = value.get_plotted_data()
661	small_out = []
662	small_cov = []
663	i = 0
664	#Separate result in to data corresponding to each page
665	for p in result.parameters:
666	model_name,param_name = self.split_string(p.name)
667	if model.name == model_name:
668	p_name= model.name+"."+param_name
669	if p.name == p_name:
670	small_out.append(p.value )
671	model.setParam(param_name,p.value)
672	"""
673	if p.stderr==None:
674	p.stderr=numpy.nan
675	small_cov.append(p.stderr)
676	else:
677	small_cov.append(p.stderr)
678	"""
679	small_cov.append(p.stderr)
680	else:
681	value= model.getParam(param_name)
682	small_out.append(value )
683	#small_cov.append(numpy.nan)
684	small_cov.append(None)
685	# Display result on each page
686	page.onsetValues(result.fitness, small_out,small_cov)
687	#Replot models
688	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
689	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
690	qmin, qmax= page.get_range()
691	smearer =self.page_finder[page].get_smearer()
692	self.draw_model( model=model, data= metadata, smearer=smearer,
693	qmin= qmin, qmax= qmax)
694
695	except:
696	msg= "Simultaneous Fit completed"
697	msg +=" but Following error occurred:%s"%sys.exc_value
698	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
699	return
700
701
702
703	def _on_show_panel(self, event):
704	print "_on_show_panel: fitting"
705
706
707	def _onset_engine_park(self,event):
708	"""
709	set engine to park
710	"""
711	self._on_change_engine('park')
712
713
714	def _onset_engine_scipy(self,event):
715	"""
716	set engine to scipy
717	"""
718	self._on_change_engine('scipy')
719
720	def _on_slicer_event(self, event):
721	"""
722	Receive a panel as event and send it to guiframe
723	@param event: event containing a panel
724	"""
725	if event.panel!=None:
726	new_panel = event.panel
727	# Set group ID if available
728	event_id = self.parent.popup_panel(new_panel)
729	self.menu3.Append(event_id, new_panel.window_caption,
730	"Show %s plot panel" % new_panel.window_caption)
731	# Set UID to allow us to reference the panel later
732	new_panel.uid = event_id
733	new_panel
734	self.mypanels.append(new_panel)
735	return
736
737
738	def _return_engine_type(self):
739	"""
740	return the current type of engine
741	"""
742	return self._fit_engine
743
744
745	def _on_change_engine(self, engine='park'):
746	"""
747	Allow to select the type of engine to perform fit
748	@param engine: the key work of the engine
749	"""
750	## saving fit engine name
751	self._fit_engine = engine
752	## change menu item state
753	if engine=="park":
754	self.menu1.FindItemByPosition(0).Check(False)
755	self.menu1.FindItemByPosition(1).Check(True)
756	else:
757	self.menu1.FindItemByPosition(0).Check(True)
758	self.menu1.FindItemByPosition(1).Check(False)
759
760	## post a message to status bar
761	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
762
763	## Bind every open fit page with a newevent to know the current fitting engine
764	import fitpage
765	event= fitpage.FitterTypeEvent()
766	event.type = self._fit_engine
767	for key in self.page_finder.keys():
768	wx.PostEvent(key, event)
769
770
771	def _on_model_panel(self, evt):
772	"""
773	react to model selection on any combo box or model menu.plot the model
774	@param evt: wx.combobox event
775	"""
776	model = evt.model
777
778	if model ==None:
779	return
780
781	current_pg = self.fit_panel.get_current_page()
782	## make sure nothing is done on self.sim_page
783	## example trying to call set_panel on self.sim_page
784	if current_pg != self.sim_page :
785
786	if self.page_finder[current_pg].get_model()== None :
787
788	model.name="M"+str(self.index_model)
789	self.index_model += 1
790	else:
791	model.name= self.page_finder[current_pg].get_model().name
792
793	metadata = self.page_finder[current_pg].get_plotted_data()
794
795	# save the name containing the data name with the appropriate model
796	self.page_finder[current_pg].set_model(model)
797	qmin, qmax= current_pg.get_range()
798	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
799	smearer= self.page_finder[current_pg].get_smearer()
800	# save model name
801	self.draw_model( model=model,smearer=smearer,
802	data= metadata, qmin=qmin, qmax=qmax)
803
804	if self.sim_page!=None:
805	self.sim_page.draw_page()
806
807
808
809	def _on_model_menu(self, evt):
810	"""
811	Plot a theory from a model selected from the menu
812	@param evt: wx.menu event
813	"""
814	model = evt.model
815
816	# Create a model page. If a new page is created, the model
817	# will be plotted automatically. If a page already exists,
818	# the content will be updated and the plot refreshed
819	self.fit_panel.add_model_page(model,topmenu=True)
820
821
822
823
824	def _update1D(self,x, output):
825	"""
826	Update the output of plotting model 1D
827	"""
828	wx.PostEvent(self.parent, StatusEvent(status="Plot \
829	#updating ... ",type="update"))
830	self.calc_thread.ready(0.01)
831
832	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
833	"""
834	fill Data2D with default value
835	@param theory: Data2D to fill
836	"""
837	from DataLoader.data_info import Detector, Source
838
839	detector = Detector()
840	theory.detector.append(detector)
841
842	theory.detector[0].distance=1e+32
843	theory.source= Source()
844	theory.source.wavelength=2*math.pi/1e+32
845
846	## Create detector for Model 2D
847	xmax=2theory.detector[0].distancemath.atan(\
848	qmax/(4*math.pi/theory.source.wavelength))
849
850	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
851	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
852	theory.detector[0].beam_center.x= qmax
853	theory.detector[0].beam_center.y= qmax
854	## create x_bins and y_bins of the model 2D
855	distance = theory.detector[0].distance
856	pixel = qstep/2-1
857	theta = pixel / distance / qstep#100.0
858	wavelength = theory.source.wavelength
859	pixel_width_x = theory.detector[0].pixel_size.x
860	pixel_width_y = theory.detector[0].pixel_size.y
861	center_x = theory.detector[0].beam_center.x/pixel_width_x
862	center_y = theory.detector[0].beam_center.y/pixel_width_y
863
864
865	size_x, size_y= numpy.shape(theory.data)
866	for i_x in range(size_x):
867	theta = (i_x-center_x)*pixel_width_x / distance
868	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
869	theory.x_bins.append(qx)
870	for i_y in range(size_y):
871	theta = (i_y-center_y)*pixel_width_y / distance
872	qy =4.0math.pi/wavelength math.tan(theta/2.0)
873	theory.y_bins.append(qy)
874
875	theory.group_id ="Model"
876	theory.id ="Model"
877	## determine plot boundaries
878	theory.xmin= -qmax
879	theory.xmax= qmax
880	theory.ymin= -qmax
881	theory.ymax= qmax
882
883
884	def _get_plotting_info(self, data=None):
885	"""
886	get plotting info from data if data !=None
887	else use some default
888	"""
889	my_info = PlotInfo()
890	if data !=None:
891	if hasattr(data,"info"):
892	x_name, x_units = data.get_xaxis()
893	y_name, y_units = data.get_yaxis()
894
895	my_info._xunit = x_units
896	my_info._xaxis = x_name
897	my_info._yunit = y_units
898	my_info._yaxis = y_name
899
900	my_info.title= data.name
901	if hasattr(data, "info"):
902	my_info.info= data.info
903	if hasattr(data, "group_id"):
904	my_info.group_id= data.group_id
905
906	return my_info
907
908	def _complete1D(self, x,y, elapsed,model,data=None):
909	"""
910	Complete plotting 1D data
911	"""
912
913	try:
914
915	new_plot = Theory1D(x=x, y=y)
916	my_info = self._get_plotting_info( data)
917	new_plot.name = model.name
918	new_plot.id = my_info.id
919	new_plot.group_id = my_info.group_id
920
921	new_plot.xaxis( my_info._xaxis, my_info._xunit)
922	new_plot.yaxis( my_info._yaxis, my_info._yunit)
923	if data!=None:
924	if new_plot.id == data.id:
925	new_plot.id += "Model"
926
927	# Pass the reset flag to let the plotting event handler
928	# know that we are replacing the whole plot
929	title= my_info.title
930	if title== None:
931	title="Analytical model 1D "
932	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
933	title= str(title), reset=True ))
934	else:
935	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
936	title= str(title)))
937	msg = "Plot 1D complete !"
938	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
939	except:
940	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
941	msg+= " %s"%sys.exc_value
942	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
943	return
944
945
946
947
948	def _update2D(self, output,time=None):
949	"""
950	Update the output of plotting model
951	"""
952	wx.PostEvent(self.parent, StatusEvent(status="Plot \
953	#updating ... ",type="update"))
954	self.calc_thread.ready(0.01)
955
956
957	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
958	"""
959	Complete get the result of modelthread and create model 2D
960	that can be plot.
961	"""
962
963
964	err_image = numpy.zeros(numpy.shape(image))
965
966	theory= Data2D(image= image , err_image= err_image)
967	theory.name= model.name
968
969	if data ==None:
970	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
971
972	else:
973	theory.id= "Model"
974	theory.group_id= "Model"+data.name
975	theory.x_bins= data.x_bins
976	theory.y_bins= data.y_bins
977	theory.detector= data.detector
978	theory.source= data.source
979
980	## plot boundaries
981	theory.ymin= data.ymin
982	theory.ymax= data.ymax
983	theory.xmin= data.xmin
984	theory.xmax= data.xmax
985
986	## plot
987	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
988	title="Analytical model 2D ", reset=True ))
989	msg = "Plot 2D complete !"
990	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
991
992	def _on_data_error(self, event):
993	"""
994	receives and event from plotting plu-gins to store the data name and
995	their errors of y coordinates for 1Data hide and show error
996	"""
997	self.err_dy= event.err_dy
998
999	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1000	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1001	"""
1002	draw model in 2D
1003	@param model: instance of the model to draw
1004	@param description: the description of the model
1005	@param enable2D: when True allows to draw model 2D
1006	@param qmin: the minimum value to draw model 2D
1007	@param qmax: the maximum value to draw model 2D
1008	@param qstep: the number of division of Qx and Qy of the model to draw
1009
1010	"""
1011
1012	x= numpy.linspace(start= -1*qmax,
1013	stop= qmax,
1014	num= qstep,
1015	endpoint=True )
1016	y = numpy.linspace(start= -1*qmax,
1017	stop= qmax,
1018	num= qstep,
1019	endpoint=True )
1020	## use data info instead
1021	if data !=None:
1022	## check if data2D to plot
1023	if hasattr(data, "x_bins"):
1024	enable2D = True
1025	x= data.x_bins
1026	y= data.y_bins
1027
1028	if not enable2D:
1029	return
1030	try:
1031	from model_thread import Calc2D
1032	## If a thread is already started, stop it
1033	if self.calc_2D != None and self.calc_2D.isrunning():
1034	self.calc_2D.stop()
1035	self.calc_2D = Calc2D( x= x,
1036	y= y,
1037	model= model,
1038	data = data,
1039	qmin= qmin,
1040	qmax= qmax,
1041	qstep= qstep,
1042	completefn= self._complete2D,
1043	updatefn= self._update2D )
1044	self.calc_2D.queue()
1045
1046	except:
1047	msg= " Error occurred when drawing %s Model 2D: "%model.name
1048	msg+= " %s"%sys.exc_value
1049	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1050	return
1051
1052	def _draw_model1D(self, model, data=None, smearer= None,
1053	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1054	"""
1055	Draw model 1D from loaded data1D
1056	@param data: loaded data
1057	@param model: the model to plot
1058	"""
1059
1060	x= numpy.linspace(start= qmin,
1061	stop= qmax,
1062	num= qstep,
1063	endpoint=True
1064	)
1065	if data!=None:
1066	## check for data2D
1067	if hasattr(data,"x_bins"):
1068	return
1069	x = data.x
1070	if qmin == DEFAULT_QMIN :
1071	qmin = min(data.x)
1072	if qmax == DEFAULT_QMAX:
1073	qmax = max(data.x)
1074
1075
1076	if not enable1D:
1077	return
1078
1079	try:
1080	from model_thread import Calc1D
1081	## If a thread is already started, stop it
1082	if self.calc_1D!= None and self.calc_1D.isrunning():
1083	self.calc_1D.stop()
1084	self.calc_1D= Calc1D( x= x,
1085	data = data,
1086	model= model,
1087	qmin = qmin,
1088	qmax = qmax,
1089	smearer = smearer,
1090	completefn = self._complete1D,
1091	updatefn = self._update1D )
1092	self.calc_1D.queue()
1093
1094	except:
1095	msg= " Error occurred when drawing %s Model 1D: "%model.name
1096	msg+= " %s"%sys.exc_value
1097	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1098	return
1099
1100
1101
1102
1103
1104	if __name__ == "__main__":
1105	i = Plugin()
1106
1107
1108
1109

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ a8088d7

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