old_fitting.py @ 26bf293

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 26bf293 was 26bf293, checked in by Gervaise Alina <gervyh@…>, 16 years ago
redesign the model1D and madel page
Property mode set to `100644`
File size: 33.2 KB

Line
1	import os,os.path, 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,EVT_MODEL2D_PANEL
10	from sans.guiframe.model_thread import Calc2D
11	from sans.guiframe.calcthread import CalcThread
12
13
14	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
15	from fitproblem import FitProblem
16	from fitpanel import FitPanel
17	from fit_thread import FitThread
18	import models,modelpage
19	import fitpage1D,fitpage2D
20	import park
21	DEFAULT_BEAM = 0.005
22	DEFAULT_QMIN = 0.0
23	DEFAULT_QMAX = 0.15
24	DEFAULT_NPTS = 40
25	import time
26	import thread
27	print "main",thread.get_ident()
28
29	class Plugin:
30	"""
31	Fitting plugin is used to perform fit
32	"""
33	def __init__(self):
34	## Plug-in name
35	self.sub_menu = "Fitting"
36
37	## Reference to the parent window
38	self.parent = None
39	self.menu_mng = models.ModelManager()
40	## List of panels for the simulation perspective (names)
41	self.perspective = []
42	self.mypanels=[]
43	self.calc_thread = None
44	self.done = False
45	# Start with a good default
46	self.elapsed = 0.022
47	self.fitter = None
48
49	#Flag to let the plug-in know that it is running standalone
50	self.standalone=True
51	## Fit engine
52	self._fit_engine = 'scipy'
53	self.enable_model2D=False
54	# Log startup
55	logging.info("Fitting plug-in started")
56	# model 2D view
57	self.model2D_id=None
58
59	def populate_menu(self, id, owner):
60	"""
61	Create a menu for the Fitting plug-in
62	@param id: id to create a menu
63	@param owner: owner of menu
64	@ return : list of information to populate the main menu
65	"""
66	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
67	#Menu for fitting
68	self.menu1 = wx.Menu()
69	id1 = wx.NewId()
70	self.menu1.Append(id1, '&Show fit panel')
71	wx.EVT_MENU(owner, id1, self.on_perspective)
72	id3 = wx.NewId()
73	self.menu1.AppendCheckItem(id3, "park")
74	wx.EVT_MENU(owner, id3, self._onset_engine)
75
76	#menu for model
77	menu2 = wx.Menu()
78
79	self.menu_mng.populate_menu(menu2, owner)
80	id2 = wx.NewId()
81	owner.Bind(models.EVT_MODEL,self._on_model_menu)
82	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
83	self.fit_panel.set_owner(owner)
84	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
85	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
86	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
87	#create menubar items
88	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
89
90
91	def help(self, evt):
92	"""
93	Show a general help dialog.
94	TODO: replace the text with a nice image
95	"""
96	from helpDialog import HelpWindow
97	dialog = HelpWindow(None, -1, 'HelpWindow')
98	if dialog.ShowModal() == wx.ID_OK:
99	pass
100	dialog.Destroy()
101
102
103	def get_context_menu(self, graph=None):
104	"""
105	Get the context menu items available for P(r)
106	@param graph: the Graph object to which we attach the context menu
107	@return: a list of menu items with call-back function
108	"""
109	self.graph=graph
110	for item in graph.plottables:
111	if item.__class__.__name__ is "Data2D":
112	return [["Select data for Fitting",\
113	"Dialog with fitting parameters ", self._onSelect]]
114	else:
115	if item.name==graph.selected_plottable and\
116	item.__class__.__name__ is "Data1D":
117	return [["Select data for Fitting", \
118	"Dialog with fitting parameters ", self._onSelect]]
119	return []
120
121
122	def get_panels(self, parent):
123	"""
124	Create and return a list of panel objects
125	"""
126	self.parent = parent
127	# Creation of the fit panel
128	self.fit_panel = FitPanel(self.parent, -1)
129	#Set the manager forthe main panel
130	self.fit_panel.set_manager(self)
131	# List of windows used for the perspective
132	self.perspective = []
133	self.perspective.append(self.fit_panel.window_name)
134	# take care of saving data, model and page associated with each other
135	self.page_finder = {}
136	#index number to create random model name
137	self.index_model = 0
138	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
139
140	#create the fitting panel
141	#return [self.fit_panel]
142
143	self.mypanels.append(self.fit_panel)
144	return self.mypanels
145	def _on_model2D_show(self, event ):
146	print "model2D get the id ", event.id
147	def _on_slicer_event(self, event):
148	print "fitting:slicer event ", event.panel
149	new_panel = event.panel
150	# Set group ID if available
151	event_id = self.parent.popup_panel(new_panel)
152	self.menu1.Append(event_id, new_panel.window_caption,
153	"Show %s plot panel" % new_panel.window_caption)
154	# Set UID to allow us to reference the panel later
155	new_panel.uid = event_id
156	new_panel
157	self.mypanels.append(new_panel)
158	return
159	def _on_show_panel(self, event):
160	print "_on_show_panel: fitting"
161
162	def get_perspective(self):
163	"""
164	Get the list of panel names for this perspective
165	"""
166	return self.perspective
167
168
169	def on_perspective(self, event):
170	"""
171	Call back function for the perspective menu item.
172	We notify the parent window that the perspective
173	has changed.
174	"""
175	self.parent.set_perspective(self.perspective)
176
177
178	def post_init(self):
179	"""
180	Post initialization call back to close the loose ends
181	[Somehow openGL needs this call]
182	"""
183	self.parent.set_perspective(self.perspective)
184
185
186	def _onSelect(self,event):
187	"""
188	when Select data to fit a new page is created .Its reference is
189	added to self.page_finder
190	"""
191	self.panel = event.GetEventObject()
192	for item in self.panel.graph.plottables:
193	if item.name == self.panel.graph.selected_plottable or\
194	item.__class__.__name__ is "Data2D":
195	#find a name for the page created for notebook
196	try:
197	page, model_name = self.fit_panel.add_fit_page(item)
198	# add data associated to the page created
199
200	if page !=None:
201	#create a fitproblem storing all link to data,model,page creation
202	self.page_finder[page]= FitProblem()
203	self.page_finder[page].save_model_name(model_name)
204	self.page_finder[page].add_data(item)
205	except:
206	raise
207	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
208	%sys.exc_value))
209	def schedule_for_fit(self,value=0,fitproblem =None):
210	"""
211
212	"""
213	if fitproblem !=None:
214	fitproblem.schedule_tofit(value)
215	else:
216	current_pg=self.fit_panel.get_current_page()
217	for page, val in self.page_finder.iteritems():
218	if page ==current_pg :
219	val.schedule_tofit(value)
220	break
221
222
223	def get_page_finder(self):
224	""" @return self.page_finder used also by simfitpage.py"""
225	return self.page_finder
226
227
228	def set_page_finder(self,modelname,names,values):
229	"""
230	Used by simfitpage.py to reset a parameter given the string constrainst.
231	@param modelname: the name ot the model for with the parameter has to reset
232	@param value: can be a string in this case.
233	@param names: the paramter name
234	@note: expecting park used for fit.
235	"""
236	sim_page=self.fit_panel.get_page(0)
237	for page, value in self.page_finder.iteritems():
238	if page != sim_page:
239	list=value.get_model()
240	model=list[0]
241	#print "fitting",model.name,modelname
242	if model.name== modelname:
243	value.set_model_param(names,values)
244	break
245
246
247
248	def split_string(self,item):
249	"""
250	receive a word containing dot and split it. used to split parameterset
251	name into model name and parameter name example:
252	paramaterset (item) = M1.A
253	@return model_name =M1 , parameter name =A
254	"""
255	if string.find(item,".")!=-1:
256	param_names= re.split("\.",item)
257	model_name=param_names[0]
258	param_name=param_names[1]
259	return model_name,param_name
260
261
262	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
263	"""
264	Display fit result on one page of the notebook.
265	@param result: result of fit
266	@param pars: list of names of parameters fitted
267	@param current_pg: the page where information will be displayed
268	@param qmin: the minimum value of x to replot the model
269	@param qmax: the maximum value of x to replot model
270
271	"""
272	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
273	#self.done = True
274	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
275	try:
276	for page, value in self.page_finder.iteritems():
277	if page==cpage :
278	#fitdata = value.get_data()
279	list = value.get_model()
280	model= list[0]
281	break
282	i = 0
283	#print "fitting: single fit pars ", pars
284	for name in pars:
285	if result.pvec.__class__==numpy.float64:
286	model.setParam(name,result.pvec)
287	else:
288	model.setParam(name,result.pvec[i])
289	# print "fitting: single fit", name, result.pvec[i]
290	i += 1
291	# print "fitting result : chisqr",result.fitness
292	# print "fitting result : pvec",result.pvec
293	# print "fitting result : stderr",result.stderr
294
295	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
296	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
297	except:
298	#raise
299	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
300
301
302	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
303	"""
304	Parameter estimation completed,
305	display the results to the user
306	@param alpha: estimated best alpha
307	@param elapsed: computation time
308	"""
309	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
310	try:
311	for page, value in self.page_finder.iteritems():
312	if value.get_scheduled()==1:
313	#fitdata = value.get_data()
314	list = value.get_model()
315	model= list[0]
316
317	small_out = []
318	small_cov = []
319	i = 0
320	#Separate result in to data corresponding to each page
321	for p in result.parameters:
322	model_name,param_name = self.split_string(p.name)
323	if model.name == model_name:
324	small_out.append(p.value )
325	if p.stderr ==None:
326	small_cov.append(0)
327	else:
328	small_cov.append(p.stderr)
329	model.setParam(param_name,p.value)
330	# Display result on each page
331	page.onsetValues(result.fitness, small_out,small_cov)
332	#Replot model
333	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
334	except:
335	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
336
337
338	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
339	"""
340	perform fit for the current page and return chisqr,out and cov
341	@param engineName: type of fit to be performed
342	@param id: unique id corresponding to a fit problem(model, set of data)
343	@param model: model to fit
344
345	"""
346	#print "in single fitting"
347	#set an engine to perform fit
348	from sans.fit.Fitting import Fit
349	self.fitter= Fit(self._fit_engine)
350	#Setting an id to store model and data in fit engine
351	if id==None:
352	id=0
353	self.id = id
354	page_fitted=None
355	fit_problem=None
356	#Get information (model , data) related to the page on
357	#with the fit will be perform
358	#current_pg=self.fit_panel.get_current_page()
359	#simul_pg=self.fit_panel.get_page(0)
360
361	for page, value in self.page_finder.iteritems():
362	if value.get_scheduled() ==1 :
363	metadata = value.get_data()
364	list=value.get_model()
365	model=list[0]
366	smearer= value.get_smearer()
367	#Create list of parameters for fitting used
368	pars=[]
369	templist=[]
370	try:
371	#templist=current_pg.get_param_list()
372	templist=page.get_param_list()
373	for element in templist:
374	pars.append(str(element[0].GetLabelText()))
375	pars.sort()
376	#print "single fit start pars:", pars
377	#Do the single fit
378	self.fitter.set_model(Model(model), self.id, pars)
379
380	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
381	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
382	page_fitted=page
383	self.id+=1
384	self.schedule_for_fit( 0,value)
385	except:
386	#raise
387	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
388	return
389	# make sure to keep an alphabetic order
390	#of parameter names in the list
391	try:
392	# If a thread is already started, stop it
393	if self.calc_thread != None and self.calc_thread.isrunning():
394	self.calc_thread.stop()
395
396	self.calc_thread =FitThread(parent =self.parent,
397	fn= self.fitter,
398	pars= pars,
399	cpage= page_fitted,
400	qmin=qmin,
401	qmax=qmax,
402	ymin= ymin,
403	ymax= ymax,
404	completefn=self._single_fit_completed,
405	updatefn=None)
406	self.calc_thread.queue()
407	self.calc_thread.ready(2.5)
408	#while not self.done:
409	#print "when here"
410	# time.sleep(1)
411
412
413	except:
414	#raise
415	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
416	return
417
418	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
419	"""
420	perform fit for all the pages selected on simpage and return chisqr,out and cov
421	@param engineName: type of fit to be performed
422	@param id: unique id corresponding to a fit problem(model, set of data)
423	in park_integration
424	@param model: model to fit
425
426	"""
427	#set an engine to perform fit
428	from sans.fit.Fitting import Fit
429	self.fitter= Fit(self._fit_engine)
430
431	#Setting an id to store model and data
432	if id==None:
433	id = 0
434	self.id = id
435
436	for page, value in self.page_finder.iteritems():
437	try:
438	if value.get_scheduled()==1:
439	metadata = value.get_data()
440	list = value.get_model()
441	model= list[0]
442	#Create dictionary of parameters for fitting used
443	pars = []
444	templist = []
445	templist = page.get_param_list()
446	for element in templist:
447	try:
448	name = str(element[0].GetLabelText())
449	pars.append(name)
450	except:
451	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
452	return
453	# need to check this print "new model "
454	new_model=Model(model)
455	param=value.get_model_param()
456
457	if len(param)>0:
458	for item in param:
459	param_value = item[1]
460	param_name = item[0]
461	#print "fitting ", param,param_name, param_value
462
463	#new_model.set( model.getParam(param_name[0])= param_value)
464	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
465	#new_model.set( exec "%s"%(param_nam) = param_value)
466	new_model.parameterset[ param_name].set( param_value )
467
468	self.fitter.set_model(new_model, self.id, pars)
469	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
470	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
471	self.id += 1
472	except:
473	#raise
474	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
475	return
476	#Do the simultaneous fit
477	try:
478	# If a thread is already started, stop it
479	if self.calc_thread != None and self.calc_thread.isrunning():
480	self.calc_thread.stop()
481
482	self.calc_thread =FitThread(parent =self.parent,
483	fn= self.fitter,
484	qmin=qmin,
485	qmax=qmax,
486	ymin= ymin,
487	ymax= ymax,
488	completefn= self._simul_fit_completed,
489	updatefn=None)
490	self.calc_thread.queue()
491	self.calc_thread.ready(2.5)
492
493	except:
494	#raise
495	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
496	return
497
498
499	def _onset_engine(self,event):
500	""" set engine to scipy"""
501	if self._fit_engine== 'park':
502	self._on_change_engine('scipy')
503	else:
504	self._on_change_engine('park')
505	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
506
507
508	def _on_change_engine(self, engine='park'):
509	"""
510	Allow to select the type of engine to perform fit
511	@param engine: the key work of the engine
512	"""
513	self._fit_engine = engine
514
515
516	def _on_model_panel(self, evt):
517	"""
518	react to model selection on any combo box or model menu.plot the model
519	"""
520
521	model = evt.model
522	name = evt.name
523
524	sim_page=self.fit_panel.get_page(0)
525	current_pg = self.fit_panel.get_current_page()
526	selected_page = self.fit_panel.get_selected_page()
527	if current_pg != sim_page:
528	current_pg.set_panel(model)
529	model.name = self.page_finder[current_pg].get_name()
530	try:
531	metadata=self.page_finder[current_pg].get_data()
532	M_name=model.name+"= "+name+"("+metadata.group_id+")"
533	except:
534	M_name=model.name+"= "+name
535	#model.name="M"+str(self.index_model)
536	self.index_model += 1
537	# save model name
538
539	# save the name containing the data name with the appropriate model
540	self.page_finder[current_pg].set_model(model,M_name)
541	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
542	sim_page.add_model(self.page_finder)
543
544	def set_smearer(self,smearer):
545	current_pg=self.fit_panel.get_current_page()
546	self.page_finder[current_pg].set_smearer(smearer)
547
548	def redraw_model(self,qmin= None,qmax= None):
549	"""
550	Draw a theory according to model changes or data range.
551	@param qmin: the minimum value plotted for theory
552	@param qmax: the maximum value plotted for theory
553	"""
554	current_pg=self.fit_panel.get_current_page()
555	for page, value in self.page_finder.iteritems():
556	if page ==current_pg :
557	break
558	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
559
560	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
561	ymin=None,ymax=None, title=None ):
562	"""
563	Plot a theory given a model and data
564	@param model: the model from where the theory is derived
565	@param currpage: page in a dictionary referring to some data
566	"""
567	if self.fit_panel.get_page_count() >1:
568	for page in self.page_finder.iterkeys():
569	if page==currpage :
570	data=self.page_finder[page].get_data()
571	list=self.page_finder[page].get_model()
572	model=list[0]
573	break
574
575	if data!=None and data.__class__.__name__ != 'Data2D':
576	theory = Theory1D(x=[], y=[])
577	theory.name = model.name
578	theory.group_id = data.group_id
579	theory.id = "Model"
580	x_name, x_units = data.get_xaxis()
581	y_name, y_units = data.get_yaxis()
582	theory.xaxis(x_name, x_units)
583	theory.yaxis(y_name, y_units)
584	if qmin == None :
585	qmin = min(data.x)
586	if qmax == None :
587	qmax = max(data.x)
588	try:
589	tempx = qmin
590	tempy = model.run(qmin)
591	theory.x.append(tempx)
592	theory.y.append(tempy)
593	except :
594	wx.PostEvent(self.parent, StatusEvent(status="fitting \
595	skipping point x %g %s" %(qmin, sys.exc_value)))
596
597	for i in range(len(data.x)):
598	try:
599	if data.x[i]> qmin and data.x[i]< qmax:
600	tempx = data.x[i]
601	tempy = model.run(tempx)
602	theory.x.append(tempx)
603	theory.y.append(tempy)
604
605	except:
606	wx.PostEvent(self.parent, StatusEvent(status="fitting \
607	skipping point x %g %s" %(data.x[i], sys.exc_value)))
608	try:
609	tempx = qmax
610	tempy = model.run(qmax)
611	theory.x.append(tempx)
612	theory.y.append(tempy)
613	except:
614	wx.PostEvent(self.parent, StatusEvent(status="fitting \
615	skipping point x %g %s" %(qmin, sys.exc_value)) )
616	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
617	title=str(data.name)))
618	else:
619
620	theory=Data2D(data.data, data.err_data)
621	theory.name= model.name
622	if title !=None:
623	self.title = title
624	theory.id= self.title
625	theory.group_id= self.title+data.name
626	else:
627	self.title= "Analytical model 2D "
628	theory.id= "Model"
629	theory.group_id= "Model"+data.name
630	theory.x_bins= data.x_bins
631	theory.y_bins= data.y_bins
632	tempy=[]
633	if qmin==None:
634	qmin=data.xmin
635	if qmax==None:
636	qmax=data.xmax
637	if ymin==None:
638	ymin=data.ymin
639	if ymax==None:
640	ymax=data.ymax
641
642	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
643	for i in range(len(data.x_bins)):
644	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
645	for j in range(len(data.y_bins)):
646	if data.y_bins[j]>= ymin and data.y_bins[j]<= ymax:
647	theory.data[j][i]=model.runXY([data.x_bins[i],data.y_bins[j]])
648
649	#print "fitting : plot_helper:", theory.image
650	#print data.image
651	#print "fitting : plot_helper:",theory.image
652	theory.detector= data.detector
653	theory.source= data.source
654	theory.zmin= data.zmin
655	theory.zmax= data.zmax
656	theory.xmin= qmin
657	theory.xmax= qmax
658	theory.ymin= ymin
659	theory.ymax= ymax
660
661	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
662	title=self.title +str(data.name)))
663
664
665	def _on_model_menu(self, evt):
666	"""
667	Plot a theory from a model selected from the menu
668	"""
669	name = evt.model.__name__
670	if hasattr(evt.model, "name"):
671	name = evt.model.name
672	print "on model menu", name
673	model=evt.model()
674	description=model.description
675
676	# Create a model page. If a new page is created, the model
677	# will be plotted automatically. If a page already exists,
678	# the content will be updated and the plot refreshed
679	self.fit_panel.add_model_page(model,description,name,topmenu=True)
680
681	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,
682	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
683	"""
684	draw model with default data value
685	"""
686	self._draw_model2D(model=model,
687	description=model.description,
688	enable2D= enable2D,
689	qmin=qmin,
690	qmax=qmax,
691	qstep=qstep)
692	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
693
694	def _draw_model1D(self,model,name,description=None, enable1D=True,
695	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
696
697	if enable1D:
698	x= numpy.linspace(start= qmin,
699	stop= qmax,
700	num= qstep,
701	endpoint=True
702	)
703	xlen= len(x)
704	y = numpy.zeros(xlen)
705	if not enable1D:
706	for i in range(xlen):
707	y[i] = model.run(x[i])
708
709	try:
710	new_plot = Theory1D(x, y)
711
712	new_plot.name = name
713	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
714	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
715	new_plot.id = "Model"
716	new_plot.group_id ="Model"
717	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
718	except:
719	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
720	#raise
721	else:
722	for i in range(xlen):
723	y[i] = model.run(x[i])
724	#print x, y
725	try:
726	new_plot = Theory1D(x, y)
727	print "draw model 1D", name
728	new_plot.name = name
729	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
730	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
731	new_plot.id ="Model"
732	new_plot.group_id ="Model"
733
734	# Pass the reset flag to let the plotting event handler
735	# know that we are replacing the whole plot
736	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
737	title="Analytical model 1D ", reset=True ))
738
739	except:
740	#raise
741	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
742	def update(self, output,time):
743	pass
744
745	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
746
747	wx.PostEvent(self.parent, StatusEvent(status="Calc \
748	complete in %g sec" % elapsed))
749	#print "complete",output, model,qmin, qmax
750	data = output
751	theory= Data2D(data)
752	#print data.detector
753	#theory.detector= data.detector
754	from DataLoader.data_info import Detector, Source
755
756	detector = Detector()
757	theory.detector=[]
758	theory.detector.append(detector)
759
760	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
761	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
762	theory.detector[0].beam_center.x= qmax
763	theory.detector[0].beam_center.y= qmax
764	theory.detector[0].distance= 1e+12#13705.0
765	theory.source= Source()
766	theory.source.wavelength= 2*math.pi/1e+12#8.4
767
768	theory.name= model.name
769	theory.group_id ="Model"
770	theory.id ="Model"
771	theory.xmin= -qmax
772	theory.xmax= qmax
773	theory.ymin= -qmax
774	theory.ymax= qmax
775
776	print "model draw comptele xmax",theory.xmax,model.name
777	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
778	title="Analytical model 2D ", reset=True ))
779
780
781
782	def _draw_model2D(self,model,description=None, enable2D=False,
783	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
784
785	x= numpy.linspace(start= -1*qmax,
786	stop= qmax,
787	num= qstep,
788	endpoint=True )
789	y = numpy.linspace(start= -1*qmax,
790	stop= qmax,
791	num= qstep,
792	endpoint=True )
793
794	lx = len(x)
795	#print x
796	data=numpy.zeros([len(x),len(y)])
797	self.model= model
798	if enable2D:
799
800	self.calc_thread = Calc2D(parent =self.parent,x=x,
801	y=y,model= self.model,
802	qmin=qmin,
803	qmax=qmax,
804	qstep=qstep,
805	completefn=self.complete,
806	updatefn=None)
807	self.calc_thread.queue()
808	self.calc_thread.ready(2.5)
809
810	def show_panel2D(self, id=None ):
811	self.parent.show_panel(self.model2D_id)
812
813
814	if __name__ == "__main__":
815	i = Plugin()
816
817
818
819

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SasView

source: sasview/sansview/perspectives/fitting/old_fitting.py @ 26bf293

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