fitting.py @ 9853ad0

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 9853ad0 was 9853ad0, checked in by Gervaise Alina <gervyh@…>, 15 years ago
setting default model value on combobox
Property mode set to `100644`
File size: 39.7 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 9853ad0

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