fitting.py @ 4e0806e8

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 4e0806e8 was 4e0806e8, checked in by Gervaise Alina <gervyh@…>, 15 years ago
set_smearer draw model again if smearer different of None
Property mode set to `100644`
File size: 41.5 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 4e0806e8

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