fitting.py @ 17fc6f8

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 17fc6f8 was 17fc6f8, checked in by Jae Cho <jhjcho@…>, 15 years ago
making sure that uid is assigned correctly for 2d fit
Property mode set to `100644`
File size: 33.7 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,ymin=None, ymax=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	self.id=0
349	else:
350	self.id = id
351	page_fitted=None
352	fit_problem=None
353	#Get information (model , data) related to the page on
354	#with the fit will be perform
355	#current_pg=self.fit_panel.get_current_page()
356	#simul_pg=self.fit_panel.get_page(0)
357
358	for page, value in self.page_finder.iteritems():
359	if value.get_scheduled() ==1 :
360	metadata = value.get_data()
361	list=value.get_model()
362	model=list[0]
363	smearer= value.get_smearer()
364	print "single fit", model, smearer
365	#Create list of parameters for fitting used
366	pars=[]
367	templist=[]
368	try:
369	#templist=current_pg.get_param_list()
370	templist=page.get_param_list()
371	for element in templist:
372	pars.append(str(element[0].GetLabelText()))
373	pars.sort()
374	#print "single fit start pars:", pars
375	#Do the single fit
376	self.fitter.set_model(Model(model), self.id, pars)
377	print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
378
379	self.fitter.set_data(data=metadata,Uid=self.id,
380	smearer=smearer,qmin= qmin,qmax=qmax,
381	ymin=ymin,ymax=ymax)
382
383	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
384	page_fitted=page
385	self.id+=1
386	self.schedule_for_fit( 0,value)
387	except:
388	raise
389	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
390	return
391	# make sure to keep an alphabetic order
392	#of parameter names in the list
393	try:
394	# If a thread is already started, stop it
395	if self.calc_thread != None and self.calc_thread.isrunning():
396	self.calc_thread.stop()
397
398	self.calc_thread =FitThread(parent =self.parent,
399	fn= self.fitter,
400	pars= pars,
401	cpage= page_fitted,
402	qmin=qmin,
403	qmax=qmax,
404
405	completefn=self._single_fit_completed,
406	updatefn=None)
407	self.calc_thread.queue()
408	self.calc_thread.ready(2.5)
409	#while not self.done:
410	#print "when here"
411	# time.sleep(1)
412
413
414	except:
415	raise
416	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
417	return
418
419	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
420	"""
421	perform fit for all the pages selected on simpage and return chisqr,out and cov
422	@param engineName: type of fit to be performed
423	@param id: unique id corresponding to a fit problem(model, set of data)
424	in park_integration
425	@param model: model to fit
426
427	"""
428	#set an engine to perform fit
429	from sans.fit.Fitting import Fit
430	self.fitter= Fit(self._fit_engine)
431
432	#Setting an id to store model and data
433	if id==None:
434	id = 0
435	self.id = id
436
437	for page, value in self.page_finder.iteritems():
438	try:
439	if value.get_scheduled()==1:
440	metadata = value.get_data()
441	list = value.get_model()
442	model= list[0]
443	#Create dictionary of parameters for fitting used
444	pars = []
445	templist = []
446	templist = page.get_param_list()
447	for element in templist:
448	try:
449	name = str(element[0].GetLabelText())
450	pars.append(name)
451	except:
452	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
453	return
454	# need to check this print "new model "
455	new_model=Model(model)
456	param=value.get_model_param()
457
458	if len(param)>0:
459	for item in param:
460	param_value = item[1]
461	param_name = item[0]
462	#print "fitting ", param,param_name, param_value
463
464	#new_model.set( model.getParam(param_name[0])= param_value)
465	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
466	#new_model.set( exec "%s"%(param_nam) = param_value)
467	new_model.parameterset[ param_name].set( param_value )
468
469	self.fitter.set_model(new_model, self.id, pars)
470
471	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
472	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
473	self.id += 1
474	except:
475	#raise
476	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
477	return
478	#Do the simultaneous fit
479	try:
480	# If a thread is already started, stop it
481	if self.calc_thread != None and self.calc_thread.isrunning():
482	self.calc_thread.stop()
483
484	self.calc_thread =FitThread(parent =self.parent,
485	fn= self.fitter,
486	qmin=qmin,
487	qmax=qmax,
488	ymin= ymin,
489	ymax= ymax,
490	completefn= self._simul_fit_completed,
491	updatefn=None)
492	self.calc_thread.queue()
493	self.calc_thread.ready(2.5)
494
495	except:
496	#raise
497	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
498	return
499
500
501	def _onset_engine(self,event):
502	""" set engine to scipy"""
503	if self._fit_engine== 'park':
504	self._on_change_engine('scipy')
505	else:
506	self._on_change_engine('park')
507	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
508
509
510	def _on_change_engine(self, engine='park'):
511	"""
512	Allow to select the type of engine to perform fit
513	@param engine: the key work of the engine
514	"""
515	self._fit_engine = engine
516
517
518	def _on_model_panel(self, evt):
519	"""
520	react to model selection on any combo box or model menu.plot the model
521	"""
522
523	model = evt.model
524	name = evt.name
525
526	sim_page=self.fit_panel.GetPage(1)
527	current_pg = self.fit_panel.get_current_page()
528	if current_pg != sim_page:
529	current_pg.set_panel(model)
530	model.name = self.page_finder[current_pg].get_name()
531	try:
532	metadata=self.page_finder[current_pg].get_data()
533	M_name=model.name+"= "+name+"("+metadata.group_id+")"
534	except:
535	M_name=model.name+"= "+name
536	#model.name="M"+str(self.index_model)
537	self.index_model += 1
538	# save model name
539
540	# save the name containing the data name with the appropriate model
541	self.page_finder[current_pg].set_model(model,M_name)
542	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
543	sim_page.add_model(self.page_finder)
544
545	def set_smearer(self,smearer):
546	current_pg=self.fit_panel.get_current_page()
547	self.page_finder[current_pg].set_smearer(smearer)
548
549	def redraw_model(self,qmin= None,qmax= None):
550	"""
551	Draw a theory according to model changes or data range.
552	@param qmin: the minimum value plotted for theory
553	@param qmax: the maximum value plotted for theory
554	"""
555	current_pg=self.fit_panel.get_current_page()
556	for page, value in self.page_finder.iteritems():
557	if page ==current_pg :
558	break
559	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
560
561	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
562	ymin=None,ymax=None, title=None ):
563	"""
564	Plot a theory given a model and data
565	@param model: the model from where the theory is derived
566	@param currpage: page in a dictionary referring to some data
567	"""
568	if self.fit_panel.GetPageCount() >1:
569	for page in self.page_finder.iterkeys():
570	if page==currpage :
571	data=self.page_finder[page].get_data()
572	list=self.page_finder[page].get_model()
573	model=list[0]
574	break
575	print "model in fitting",model
576	if data!=None and data.__class__.__name__ != 'Data2D':
577	theory = Theory1D(x=[], y=[])
578	theory.name = model.name
579	theory.group_id = data.group_id
580	theory.id = "Model"
581	x_name, x_units = data.get_xaxis()
582	y_name, y_units = data.get_yaxis()
583	theory.xaxis(x_name, x_units)
584	theory.yaxis(y_name, y_units)
585	if qmin == None :
586	qmin = min(data.x)
587	if qmax == None :
588	qmax = max(data.x)
589	try:
590	tempx = qmin
591	tempy = model.run(qmin)
592	theory.x.append(tempx)
593	theory.y.append(tempy)
594	except :
595	wx.PostEvent(self.parent, StatusEvent(status="fitting \
596	skipping point x %g %s" %(qmin, sys.exc_value)))
597
598	for i in range(len(data.x)):
599	try:
600	if data.x[i]> qmin and data.x[i]< qmax:
601	tempx = data.x[i]
602	tempy = model.run(tempx)
603	theory.x.append(tempx)
604	theory.y.append(tempy)
605
606	except:
607	wx.PostEvent(self.parent, StatusEvent(status="fitting \
608	skipping point x %g %s" %(data.x[i], sys.exc_value)))
609	try:
610	tempx = qmax
611	tempy = model.run(qmax)
612	theory.x.append(tempx)
613	theory.y.append(tempy)
614	except:
615	wx.PostEvent(self.parent, StatusEvent(status="fitting \
616	skipping point x %g %s" %(qmin, sys.exc_value)) )
617	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
618	title=str(data.name)))
619	else:
620
621	theory=Data2D(data.data, data.err_data)
622	theory.name= model.name
623	if title !=None:
624	self.title = title
625	theory.id= self.title
626	theory.group_id= self.title+data.name
627	else:
628	self.title= "Analytical model 2D "
629	theory.id= "Model"
630	theory.group_id= "Model"+data.name
631	theory.x_bins= data.x_bins
632	theory.y_bins= data.y_bins
633	tempy=[]
634	if qmin==None:
635	qmin=data.xmin
636	if qmax==None:
637	qmax=data.xmax
638	if ymin==None:
639	ymin=data.ymin
640	if ymax==None:
641	ymax=data.ymax
642	xmin=data.xmin
643	xmax=data.xmax
644	print " q range =",
645	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
646	for j in range(len(data.y_bins)):
647	if data.y_bins[j]>= ymin and data.y_bins[j]<= ymax:
648	for i in range(len(data.x_bins)):
649	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
650	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
651	else:
652	Inf=1e+5000
653	Nan=Inf*0
654	theory.data[j][i]=Nan
655
656	#print "fitting : plot_helper:", theory.image
657	#print data.image
658	#print "fitting : plot_helper:",theory.image
659	theory.detector= data.detector
660	theory.source= data.source
661	theory.zmin= data.zmin
662	theory.zmax= data.zmax
663	theory.xmin= xmin
664	theory.xmax= xmax
665	theory.ymin= ymin
666	theory.ymax= ymax
667
668	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
669	title=self.title +str(data.name)))
670
671
672	def _on_model_menu(self, evt):
673	"""
674	Plot a theory from a model selected from the menu
675	"""
676	name = evt.model.__name__
677	if hasattr(evt.model, "name"):
678	name = evt.model.name
679	print "on model menu", name
680	model=evt.model()
681	description=model.description
682
683	# Create a model page. If a new page is created, the model
684	# will be plotted automatically. If a page already exists,
685	# the content will be updated and the plot refreshed
686	self.fit_panel.add_model_page(model,description,name,topmenu=True)
687
688	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
689	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
690	"""
691	draw model with default data value
692	"""
693	if data !=None:
694	print "qmin qmax",qmin, qmax
695	self.redraw_model(qmin,qmax)
696	return
697	self._draw_model2D(model=model,
698	description=model.description,
699	enable2D= enable2D,
700	qmin=qmin,
701	qmax=qmax,
702	qstep=qstep)
703	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
704
705	def _draw_model1D(self,model,name,description=None, enable1D=True,
706	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
707
708	if enable1D:
709	x= numpy.linspace(start= qmin,
710	stop= qmax,
711	num= qstep,
712	endpoint=True
713	)
714	xlen= len(x)
715	y = numpy.zeros(xlen)
716	if not enable1D:
717	for i in range(xlen):
718	y[i] = model.run(x[i])
719
720	try:
721	new_plot = Theory1D(x, y)
722
723	new_plot.name = name
724	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
725	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
726	new_plot.id = "Model"
727	new_plot.group_id ="Model"
728	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
729	except:
730	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
731	#raise
732	else:
733	for i in range(xlen):
734	y[i] = model.run(x[i])
735	#print x, y
736	try:
737	new_plot = Theory1D(x, y)
738	print "draw model 1D", name
739	new_plot.name = name
740	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
741	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
742	new_plot.id ="Model"
743	new_plot.group_id ="Model"
744
745	# Pass the reset flag to let the plotting event handler
746	# know that we are replacing the whole plot
747	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
748	title="Analytical model 1D ", reset=True ))
749
750	except:
751	#raise
752	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
753	def update(self, output,time):
754	pass
755
756	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
757
758	wx.PostEvent(self.parent, StatusEvent(status="Calc \
759	complete in %g sec" % elapsed))
760	#print "complete",output, model,qmin, qmax
761	data = output
762	theory= Data2D(data)
763	#print data.detector
764	#theory.detector= data.detector
765	from DataLoader.data_info import Detector, Source
766
767	detector = Detector()
768	theory.detector=[]
769	theory.detector.append(detector)
770
771	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
772	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
773	theory.detector[0].beam_center.x= qmax
774	theory.detector[0].beam_center.y= qmax
775	theory.detector[0].distance= 1e+12#13705.0
776	theory.source= Source()
777	theory.source.wavelength= 2*math.pi/1e+12#8.4
778
779	theory.name= model.name
780	theory.group_id ="Model"
781	theory.id ="Model"
782	theory.xmin= -qmax
783	theory.xmax= qmax
784	theory.ymin= -qmax
785	theory.ymax= qmax
786
787	print "model draw comptele xmax",theory.xmax,model.name
788	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
789	title="Analytical model 2D ", reset=True ))
790
791
792
793	def _draw_model2D(self,model,description=None, enable2D=False,
794	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
795
796	x= numpy.linspace(start= -1*qmax,
797	stop= qmax,
798	num= qstep,
799	endpoint=True )
800	y = numpy.linspace(start= -1*qmax,
801	stop= qmax,
802	num= qstep,
803	endpoint=True )
804
805	lx = len(x)
806	#print x
807	data=numpy.zeros([len(x),len(y)])
808	self.model= model
809	if enable2D:
810	from model_thread import Calc2D
811	self.calc_thread = Calc2D(parent =self.parent,x=x,
812	y=y,model= self.model,
813	qmin=qmin,
814	qmax=qmax,
815	qstep=qstep,
816	completefn=self.complete,
817	updatefn=None)
818	self.calc_thread.queue()
819	self.calc_thread.ready(2.5)
820
821	def show_panel2D(self, id=None ):
822	self.parent.show_panel(self.model2D_id)
823
824
825	if __name__ == "__main__":
826	i = Plugin()
827
828
829
830

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 17fc6f8

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