fitting.py @ 4e5f660

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 4e5f660 was 7ce6c72, checked in by Jae Cho <jhjcho@…>, 16 years ago
redefined qmin and qmax for 2D-fitting
Property mode set to `100644`
File size: 33.1 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
11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models,modelpage
16	import fitpage1D,fitpage2D
17	import park
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.15
21	DEFAULT_NPTS = 40
22	import time
23	import thread
24	print "main",thread.get_ident()
25
26	class Plugin:
27	"""
28	Fitting plugin is used to perform fit
29	"""
30	def __init__(self):
31	## Plug-in name
32	self.sub_menu = "Fitting"
33
34	## Reference to the parent window
35	self.parent = None
36	self.menu_mng = models.ModelManager()
37	## List of panels for the simulation perspective (names)
38	self.perspective = []
39	self.mypanels=[]
40	self.calc_thread = None
41	self.done = False
42	# Start with a good default
43	self.elapsed = 0.022
44	self.fitter = None
45
46	#Flag to let the plug-in know that it is running standalone
47	self.standalone=True
48	## Fit engine
49	self._fit_engine = 'scipy'
50	self.enable_model2D=False
51	# Log startup
52	logging.info("Fitting plug-in started")
53	# model 2D view
54	self.model2D_id=None
55
56	def populate_menu(self, id, owner):
57	"""
58	Create a menu for the Fitting plug-in
59	@param id: id to create a menu
60	@param owner: owner of menu
61	@ return : list of information to populate the main menu
62	"""
63	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
64	#Menu for fitting
65	self.menu1 = wx.Menu()
66	id1 = wx.NewId()
67	self.menu1.Append(id1, '&Show fit panel')
68	wx.EVT_MENU(owner, id1, self.on_perspective)
69	id3 = wx.NewId()
70	self.menu1.AppendCheckItem(id3, "park")
71
72	wx.EVT_MENU(owner, id3, self._onset_engine)
73
74	#menu for model
75	menu2 = wx.Menu()
76
77	self.menu_mng.populate_menu(menu2, owner)
78	id2 = wx.NewId()
79	owner.Bind(models.EVT_MODEL,self._on_model_menu)
80	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
81	self.fit_panel.set_owner(owner)
82	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
83	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
84	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
85	#create menubar items
86	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
87
88
89	def help(self, evt):
90	"""
91	Show a general help dialog.
92	TODO: replace the text with a nice image
93	"""
94	from helpDialog import HelpWindow
95	dialog = HelpWindow(None, -1, 'HelpWindow')
96	if dialog.ShowModal() == wx.ID_OK:
97	pass
98	dialog.Destroy()
99
100
101	def get_context_menu(self, graph=None):
102	"""
103	Get the context menu items available for P(r)
104	@param graph: the Graph object to which we attach the context menu
105	@return: a list of menu items with call-back function
106	"""
107	self.graph=graph
108	for item in graph.plottables:
109	if item.__class__.__name__ is "Data2D":
110	return [["Select data for Fitting",\
111	"Dialog with fitting parameters ", self._onSelect]]
112	else:
113	if item.name==graph.selected_plottable and\
114	item.__class__.__name__ is "Data1D":
115	return [["Select data for Fitting", \
116	"Dialog with fitting parameters ", self._onSelect]]
117	return []
118
119
120	def get_panels(self, parent):
121	"""
122	Create and return a list of panel objects
123	"""
124	self.parent = parent
125	# Creation of the fit panel
126	self.fit_panel = FitPanel(self.parent, -1)
127	#Set the manager forthe main panel
128	self.fit_panel.set_manager(self)
129	# List of windows used for the perspective
130	self.perspective = []
131	self.perspective.append(self.fit_panel.window_name)
132	# take care of saving data, model and page associated with each other
133	self.page_finder = {}
134	#index number to create random model name
135	self.index_model = 0
136	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
137
138	#create the fitting panel
139	#return [self.fit_panel]
140
141	self.mypanels.append(self.fit_panel)
142	return self.mypanels
143	def _on_model2D_show(self, event ):
144	print "model2D get the id ", event.id
145	def _on_slicer_event(self, event):
146	print "fitting:slicer event ", event.panel
147	new_panel = event.panel
148	# Set group ID if available
149	event_id = self.parent.popup_panel(new_panel)
150	self.menu1.Append(event_id, new_panel.window_caption,
151	"Show %s plot panel" % new_panel.window_caption)
152	# Set UID to allow us to reference the panel later
153	new_panel.uid = event_id
154	new_panel
155	self.mypanels.append(new_panel)
156	return
157	def _on_show_panel(self, event):
158	print "_on_show_panel: fitting"
159
160	def get_perspective(self):
161	"""
162	Get the list of panel names for this perspective
163	"""
164	return self.perspective
165
166
167	def on_perspective(self, event):
168	"""
169	Call back function for the perspective menu item.
170	We notify the parent window that the perspective
171	has changed.
172	"""
173	self.parent.set_perspective(self.perspective)
174
175
176	def post_init(self):
177	"""
178	Post initialization call back to close the loose ends
179	[Somehow openGL needs this call]
180	"""
181	self.parent.set_perspective(self.perspective)
182
183
184	def _onSelect(self,event):
185	"""
186	when Select data to fit a new page is created .Its reference is
187	added to self.page_finder
188	"""
189	self.panel = event.GetEventObject()
190	for item in self.panel.graph.plottables:
191	if item.name == self.panel.graph.selected_plottable or\
192	item.__class__.__name__ is "Data2D":
193	#find a name for the page created for notebook
194	try:
195	page, model_name = self.fit_panel.add_fit_page(item)
196	# add data associated to the page created
197
198	if page !=None:
199	#create a fitproblem storing all link to data,model,page creation
200	self.page_finder[page]= FitProblem()
201	self.page_finder[page].save_model_name(model_name)
202	self.page_finder[page].add_data(item)
203	except:
204	raise
205	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
206	%sys.exc_value))
207	def schedule_for_fit(self,value=0,fitproblem =None):
208	"""
209
210	"""
211	if fitproblem !=None:
212	fitproblem.schedule_tofit(value)
213	else:
214	current_pg=self.fit_panel.get_current_page()
215	for page, val in self.page_finder.iteritems():
216	if page ==current_pg :
217	val.schedule_tofit(value)
218	break
219
220
221	def get_page_finder(self):
222	""" @return self.page_finder used also by simfitpage.py"""
223	return self.page_finder
224
225
226	def set_page_finder(self,modelname,names,values):
227	"""
228	Used by simfitpage.py to reset a parameter given the string constrainst.
229	@param modelname: the name ot the model for with the parameter has to reset
230	@param value: can be a string in this case.
231	@param names: the paramter name
232	@note: expecting park used for fit.
233	"""
234	sim_page=self.fit_panel.get_page(1)
235	for page, value in self.page_finder.iteritems():
236	if page != sim_page:
237	list=value.get_model()
238	model=list[0]
239	#print "fitting",model.name,modelname
240	if model.name== modelname:
241	value.set_model_param(names,values)
242	break
243
244
245
246	def split_string(self,item):
247	"""
248	receive a word containing dot and split it. used to split parameterset
249	name into model name and parameter name example:
250	paramaterset (item) = M1.A
251	@return model_name =M1 , parameter name =A
252	"""
253	if string.find(item,".")!=-1:
254	param_names= re.split("\.",item)
255	model_name=param_names[0]
256	param_name=param_names[1]
257	return model_name,param_name
258
259
260	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
261	"""
262	Display fit result on one page of the notebook.
263	@param result: result of fit
264	@param pars: list of names of parameters fitted
265	@param current_pg: the page where information will be displayed
266	@param qmin: the minimum value of x to replot the model
267	@param qmax: the maximum value of x to replot model
268
269	"""
270	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
271	#self.done = True
272	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
273	try:
274	for page, value in self.page_finder.iteritems():
275	if page==cpage :
276	#fitdata = value.get_data()
277	list = value.get_model()
278	model= list[0]
279	break
280	i = 0
281	#print "fitting: single fit pars ", pars
282	for name in pars:
283	if result.pvec.__class__==numpy.float64:
284	model.setParam(name,result.pvec)
285	else:
286	model.setParam(name,result.pvec[i])
287	# print "fitting: single fit", name, result.pvec[i]
288	i += 1
289	print "fitting result : chisqr",result.fitness
290	print "fitting result : pvec",result.pvec
291	print "fitting result : stderr",result.stderr
292	print "xmin xmax ymin , ymax",qmin, qmax, ymin, ymax
293
294	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
295	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
296	except:
297	#raise
298	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
299
300
301	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
302	"""
303	Parameter estimation completed,
304	display the results to the user
305	@param alpha: estimated best alpha
306	@param elapsed: computation time
307	"""
308	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
309	try:
310	for page, value in self.page_finder.iteritems():
311	if value.get_scheduled()==1:
312	#fitdata = value.get_data()
313	list = value.get_model()
314	model= list[0]
315
316	small_out = []
317	small_cov = []
318	i = 0
319	#Separate result in to data corresponding to each page
320	for p in result.parameters:
321	model_name,param_name = self.split_string(p.name)
322	if model.name == model_name:
323	small_out.append(p.value )
324	small_cov.append(p.stderr)
325	model.setParam(param_name,p.value)
326	# Display result on each page
327	page.onsetValues(result.fitness, small_out,small_cov)
328	#Replot model
329	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
330	except:
331	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
332
333
334	def _on_single_fit(self,id=None,qmin=None,qmax=None):
335	"""
336	perform fit for the current page and return chisqr,out and cov
337	@param engineName: type of fit to be performed
338	@param id: unique id corresponding to a fit problem(model, set of data)
339	@param model: model to fit
340
341	"""
342	#print "in single fitting"
343	#set an engine to perform fit
344	from sans.fit.Fitting import Fit
345	self.fitter= Fit(self._fit_engine)
346	#Setting an id to store model and data in fit engine
347	if id==None:
348	id=0
349	self.id = id
350	page_fitted=None
351	fit_problem=None
352	#Get information (model , data) related to the page on
353	#with the fit will be perform
354	#current_pg=self.fit_panel.get_current_page()
355	#simul_pg=self.fit_panel.get_page(0)
356
357	for page, value in self.page_finder.iteritems():
358	if value.get_scheduled() ==1 :
359	metadata = value.get_data()
360	list=value.get_model()
361	model=list[0]
362	smearer= value.get_smearer()
363	print "single fit", model, smearer
364	#Create list of parameters for fitting used
365	pars=[]
366	templist=[]
367	try:
368	#templist=current_pg.get_param_list()
369	templist=page.get_param_list()
370	for element in templist:
371	pars.append(str(element[0].GetLabelText()))
372	pars.sort()
373	#print "single fit start pars:", pars
374	#Do the single fit
375	self.fitter.set_model(Model(model), self.id, pars)
376
377	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
378	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
379	page_fitted=page
380	self.id+=1
381	self.schedule_for_fit( 0,value)
382	except:
383	raise
384	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
385	return
386	# make sure to keep an alphabetic order
387	#of parameter names in the list
388	try:
389	# If a thread is already started, stop it
390	if self.calc_thread != None and self.calc_thread.isrunning():
391	self.calc_thread.stop()
392
393	self.calc_thread =FitThread(parent =self.parent,
394	fn= self.fitter,
395	pars= pars,
396	cpage= page_fitted,
397	qmin=qmin,
398	qmax=qmax,
399
400	completefn=self._single_fit_completed,
401	updatefn=None)
402	self.calc_thread.queue()
403	self.calc_thread.ready(2.5)
404	#while not self.done:
405	#print "when here"
406	# time.sleep(1)
407
408
409	except:
410	raise
411	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
412	return
413
414	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
415	"""
416	perform fit for all the pages selected on simpage and return chisqr,out and cov
417	@param engineName: type of fit to be performed
418	@param id: unique id corresponding to a fit problem(model, set of data)
419	in park_integration
420	@param model: model to fit
421
422	"""
423	#set an engine to perform fit
424	from sans.fit.Fitting import Fit
425	self.fitter= Fit(self._fit_engine)
426
427	#Setting an id to store model and data
428	if id==None:
429	id = 0
430	self.id = id
431
432	for page, value in self.page_finder.iteritems():
433	try:
434	if value.get_scheduled()==1:
435	metadata = value.get_data()
436	list = value.get_model()
437	model= list[0]
438	#Create dictionary of parameters for fitting used
439	pars = []
440	templist = []
441	templist = page.get_param_list()
442	for element in templist:
443	try:
444	name = str(element[0].GetLabelText())
445	pars.append(name)
446	except:
447	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
448	return
449	# need to check this print "new model "
450	new_model=Model(model)
451	param=value.get_model_param()
452
453	if len(param)>0:
454	for item in param:
455	param_value = item[1]
456	param_name = item[0]
457	#print "fitting ", param,param_name, param_value
458
459	#new_model.set( model.getParam(param_name[0])= param_value)
460	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
461	#new_model.set( exec "%s"%(param_nam) = param_value)
462	new_model.parameterset[ param_name].set( param_value )
463
464	self.fitter.set_model(new_model, self.id, pars)
465	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
466	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
467	self.id += 1
468	except:
469	#raise
470	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
471	return
472	#Do the simultaneous fit
473	try:
474	# If a thread is already started, stop it
475	if self.calc_thread != None and self.calc_thread.isrunning():
476	self.calc_thread.stop()
477
478	self.calc_thread =FitThread(parent =self.parent,
479	fn= self.fitter,
480	qmin=qmin,
481	qmax=qmax,
482	ymin= ymin,
483	ymax= ymax,
484	completefn= self._simul_fit_completed,
485	updatefn=None)
486	self.calc_thread.queue()
487	self.calc_thread.ready(2.5)
488
489	except:
490	#raise
491	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
492	return
493
494
495	def _onset_engine(self,event):
496	""" set engine to scipy"""
497	if self._fit_engine== 'park':
498	self._on_change_engine('scipy')
499	else:
500	self._on_change_engine('park')
501	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
502
503
504	def _on_change_engine(self, engine='park'):
505	"""
506	Allow to select the type of engine to perform fit
507	@param engine: the key work of the engine
508	"""
509	self._fit_engine = engine
510
511
512	def _on_model_panel(self, evt):
513	"""
514	react to model selection on any combo box or model menu.plot the model
515	"""
516
517	model = evt.model
518	name = evt.name
519
520	sim_page=self.fit_panel.GetPage(1)
521	current_pg = self.fit_panel.get_current_page()
522	if current_pg != sim_page:
523	current_pg.set_panel(model)
524	model.name = self.page_finder[current_pg].get_name()
525	try:
526	metadata=self.page_finder[current_pg].get_data()
527	M_name=model.name+"= "+name+"("+metadata.group_id+")"
528	except:
529	M_name=model.name+"= "+name
530	#model.name="M"+str(self.index_model)
531	self.index_model += 1
532	# save model name
533
534	# save the name containing the data name with the appropriate model
535	self.page_finder[current_pg].set_model(model,M_name)
536	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
537	sim_page.add_model(self.page_finder)
538
539	def set_smearer(self,smearer):
540	current_pg=self.fit_panel.get_current_page()
541	self.page_finder[current_pg].set_smearer(smearer)
542
543	def redraw_model(self,qmin= None,qmax= None):
544	"""
545	Draw a theory according to model changes or data range.
546	@param qmin: the minimum value plotted for theory
547	@param qmax: the maximum value plotted for theory
548	"""
549	current_pg=self.fit_panel.get_current_page()
550	for page, value in self.page_finder.iteritems():
551	if page ==current_pg :
552	break
553	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
554
555	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
556	ymin=None,ymax=None, title=None ):
557	"""
558	Plot a theory given a model and data
559	@param model: the model from where the theory is derived
560	@param currpage: page in a dictionary referring to some data
561	"""
562	if self.fit_panel.GetPageCount() >1:
563	for page in self.page_finder.iterkeys():
564	if page==currpage :
565	data=self.page_finder[page].get_data()
566	list=self.page_finder[page].get_model()
567	model=list[0]
568	break
569	print "model in fitting",model
570	if data!=None and data.__class__.__name__ != 'Data2D':
571	theory = Theory1D(x=[], y=[])
572	theory.name = model.name
573	theory.group_id = data.group_id
574	theory.id = "Model"
575	x_name, x_units = data.get_xaxis()
576	y_name, y_units = data.get_yaxis()
577	theory.xaxis(x_name, x_units)
578	theory.yaxis(y_name, y_units)
579	if qmin == None :
580	qmin = min(data.x)
581	if qmax == None :
582	qmax = max(data.x)
583	try:
584	tempx = qmin
585	tempy = model.run(qmin)
586	theory.x.append(tempx)
587	theory.y.append(tempy)
588	except :
589	wx.PostEvent(self.parent, StatusEvent(status="fitting \
590	skipping point x %g %s" %(qmin, sys.exc_value)))
591
592	for i in range(len(data.x)):
593	try:
594	if data.x[i]> qmin and data.x[i]< qmax:
595	tempx = data.x[i]
596	tempy = model.run(tempx)
597	theory.x.append(tempx)
598	theory.y.append(tempy)
599
600	except:
601	wx.PostEvent(self.parent, StatusEvent(status="fitting \
602	skipping point x %g %s" %(data.x[i], sys.exc_value)))
603	try:
604	tempx = qmax
605	tempy = model.run(qmax)
606	theory.x.append(tempx)
607	theory.y.append(tempy)
608	except:
609	wx.PostEvent(self.parent, StatusEvent(status="fitting \
610	skipping point x %g %s" %(qmin, sys.exc_value)) )
611	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
612	title=str(data.name)))
613	else:
614
615	theory=Data2D(data.data, data.err_data)
616	theory.name= model.name
617	if title !=None:
618	self.title = title
619	theory.id= self.title
620	theory.group_id= self.title+data.name
621	else:
622	self.title= "Analytical model 2D "
623	theory.id= "Model"
624	theory.group_id= "Model"+data.name
625	theory.x_bins= data.x_bins
626	theory.y_bins= data.y_bins
627	tempy=[]
628	#if qmin==None:
629	qmin=data.xmin
630	#if qmax==None:
631	qmax=data.xmax
632	#if ymin==None:
633	ymin=data.ymin
634	#if ymax==None:
635	ymax=data.ymax
636	print " q range =",
637	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
638	for i in range(len(data.y_bins)):
639	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
640	for j in range(len(data.x_bins)):
641	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
642	theory.data[i][j]=model.runXY([data.x_bins[j],data.y_bins[i]])
643
644	#print "fitting : plot_helper:", theory.image
645	#print data.image
646	#print "fitting : plot_helper:",theory.image
647	theory.detector= data.detector
648	theory.source= data.source
649	theory.zmin= data.zmin
650	theory.zmax= data.zmax
651	theory.xmin= qmin
652	theory.xmax= qmax
653	theory.ymin= ymin
654	theory.ymax= ymax
655
656	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
657	title=self.title +str(data.name)))
658
659
660	def _on_model_menu(self, evt):
661	"""
662	Plot a theory from a model selected from the menu
663	"""
664	name = evt.model.__name__
665	if hasattr(evt.model, "name"):
666	name = evt.model.name
667	print "on model menu", name
668	model=evt.model()
669	description=model.description
670
671	# Create a model page. If a new page is created, the model
672	# will be plotted automatically. If a page already exists,
673	# the content will be updated and the plot refreshed
674	self.fit_panel.add_model_page(model,description,name,topmenu=True)
675
676	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
677	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
678	"""
679	draw model with default data value
680	"""
681	if data !=None:
682	print "qmin qmax",qmin, qmax
683	self.redraw_model(qmin,qmax)
684	return
685	self._draw_model2D(model=model,
686	description=model.description,
687	enable2D= enable2D,
688	qmin=qmin,
689	qmax=qmax,
690	qstep=qstep)
691	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
692
693	def _draw_model1D(self,model,name,description=None, enable1D=True,
694	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
695
696	if enable1D:
697	x= numpy.linspace(start= qmin,
698	stop= qmax,
699	num= qstep,
700	endpoint=True
701	)
702	xlen= len(x)
703	y = numpy.zeros(xlen)
704	if not enable1D:
705	for i in range(xlen):
706	y[i] = model.run(x[i])
707
708	try:
709	new_plot = Theory1D(x, y)
710
711	new_plot.name = name
712	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
713	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
714	new_plot.id = "Model"
715	new_plot.group_id ="Model"
716	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
717	except:
718	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
719	#raise
720	else:
721	for i in range(xlen):
722	y[i] = model.run(x[i])
723	#print x, y
724	try:
725	new_plot = Theory1D(x, y)
726	print "draw model 1D", name
727	new_plot.name = name
728	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
729	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
730	new_plot.id ="Model"
731	new_plot.group_id ="Model"
732
733	# Pass the reset flag to let the plotting event handler
734	# know that we are replacing the whole plot
735	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
736	title="Analytical model 1D ", reset=True ))
737
738	except:
739	#raise
740	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
741	def update(self, output,time):
742	pass
743
744	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
745
746	wx.PostEvent(self.parent, StatusEvent(status="Calc \
747	complete in %g sec" % elapsed))
748	#print "complete",output, model,qmin, qmax
749	data = output
750	theory= Data2D(data)
751	#print data.detector
752	#theory.detector= data.detector
753	from DataLoader.data_info import Detector, Source
754
755	detector = Detector()
756	theory.detector=[]
757	theory.detector.append(detector)
758
759	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
760	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
761	theory.detector[0].beam_center.x= qmax
762	theory.detector[0].beam_center.y= qmax
763	theory.detector[0].distance= 1e+12#13705.0
764	theory.source= Source()
765	theory.source.wavelength= 2*math.pi/1e+12#8.4
766
767	theory.name= model.name
768	theory.group_id ="Model"
769	theory.id ="Model"
770	theory.xmin= -qmax
771	theory.xmax= qmax
772	theory.ymin= -qmax
773	theory.ymax= qmax
774
775	print "model draw comptele xmax",theory.xmax,model.name
776	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
777	title="Analytical model 2D ", reset=True ))
778
779
780
781	def _draw_model2D(self,model,description=None, enable2D=False,
782	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
783
784	x= numpy.linspace(start= -1*qmax,
785	stop= qmax,
786	num= qstep,
787	endpoint=True )
788	y = numpy.linspace(start= -1*qmax,
789	stop= qmax,
790	num= qstep,
791	endpoint=True )
792
793	lx = len(x)
794	#print x
795	data=numpy.zeros([len(x),len(y)])
796	self.model= model
797	if enable2D:
798	from model_thread import Calc2D
799	self.calc_thread = Calc2D(parent =self.parent,x=x,
800	y=y,model= self.model,
801	qmin=qmin,
802	qmax=qmax,
803	qstep=qstep,
804	completefn=self.complete,
805	updatefn=None)
806	self.calc_thread.queue()
807	self.calc_thread.ready(2.5)
808
809	def show_panel2D(self, id=None ):
810	self.parent.show_panel(self.model2D_id)
811
812
813	if __name__ == "__main__":
814	i = Plugin()
815
816
817
818

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 4e5f660

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