fitting.py @ 68dada4

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 68dada4 was 68dada4, checked in by Gervaise Alina <gervyh@…>, 16 years ago
refactoring panels
Property mode set to `100644`
File size: 32.9 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	wx.EVT_MENU(owner, id3, self._onset_engine)
72
73	#menu for model
74	menu2 = wx.Menu()
75
76	self.menu_mng.populate_menu(menu2, owner)
77	id2 = wx.NewId()
78	owner.Bind(models.EVT_MODEL,self._on_model_menu)
79	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
80	self.fit_panel.set_owner(owner)
81	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
82	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
83	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
84	#create menubar items
85	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
86
87
88	def help(self, evt):
89	"""
90	Show a general help dialog.
91	TODO: replace the text with a nice image
92	"""
93	from helpDialog import HelpWindow
94	dialog = HelpWindow(None, -1, 'HelpWindow')
95	if dialog.ShowModal() == wx.ID_OK:
96	pass
97	dialog.Destroy()
98
99
100	def get_context_menu(self, graph=None):
101	"""
102	Get the context menu items available for P(r)
103	@param graph: the Graph object to which we attach the context menu
104	@return: a list of menu items with call-back function
105	"""
106	self.graph=graph
107	for item in graph.plottables:
108	if item.__class__.__name__ is "Data2D":
109	return [["Select data for Fitting",\
110	"Dialog with fitting parameters ", self._onSelect]]
111	else:
112	if item.name==graph.selected_plottable and\
113	item.__class__.__name__ is "Data1D":
114	return [["Select data for Fitting", \
115	"Dialog with fitting parameters ", self._onSelect]]
116	return []
117
118
119	def get_panels(self, parent):
120	"""
121	Create and return a list of panel objects
122	"""
123	self.parent = parent
124	# Creation of the fit panel
125	self.fit_panel = FitPanel(self.parent, -1)
126	#Set the manager forthe main panel
127	self.fit_panel.set_manager(self)
128	# List of windows used for the perspective
129	self.perspective = []
130	self.perspective.append(self.fit_panel.window_name)
131	# take care of saving data, model and page associated with each other
132	self.page_finder = {}
133	#index number to create random model name
134	self.index_model = 0
135	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
136
137	#create the fitting panel
138	#return [self.fit_panel]
139
140	self.mypanels.append(self.fit_panel)
141	return self.mypanels
142	def _on_model2D_show(self, event ):
143	print "model2D get the id ", event.id
144	def _on_slicer_event(self, event):
145	print "fitting:slicer event ", event.panel
146	new_panel = event.panel
147	# Set group ID if available
148	event_id = self.parent.popup_panel(new_panel)
149	self.menu1.Append(event_id, new_panel.window_caption,
150	"Show %s plot panel" % new_panel.window_caption)
151	# Set UID to allow us to reference the panel later
152	new_panel.uid = event_id
153	new_panel
154	self.mypanels.append(new_panel)
155	return
156	def _on_show_panel(self, event):
157	print "_on_show_panel: fitting"
158
159	def get_perspective(self):
160	"""
161	Get the list of panel names for this perspective
162	"""
163	return self.perspective
164
165
166	def on_perspective(self, event):
167	"""
168	Call back function for the perspective menu item.
169	We notify the parent window that the perspective
170	has changed.
171	"""
172	self.parent.set_perspective(self.perspective)
173
174
175	def post_init(self):
176	"""
177	Post initialization call back to close the loose ends
178	[Somehow openGL needs this call]
179	"""
180	self.parent.set_perspective(self.perspective)
181
182
183	def _onSelect(self,event):
184	"""
185	when Select data to fit a new page is created .Its reference is
186	added to self.page_finder
187	"""
188	self.panel = event.GetEventObject()
189	for item in self.panel.graph.plottables:
190	if item.name == self.panel.graph.selected_plottable or\
191	item.__class__.__name__ is "Data2D":
192	#find a name for the page created for notebook
193	try:
194	page, model_name = self.fit_panel.add_fit_page(item)
195	# add data associated to the page created
196
197	if page !=None:
198	#create a fitproblem storing all link to data,model,page creation
199	self.page_finder[page]= FitProblem()
200	self.page_finder[page].save_model_name(model_name)
201	self.page_finder[page].add_data(item)
202	except:
203	raise
204	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
205	%sys.exc_value))
206	def schedule_for_fit(self,value=0,fitproblem =None):
207	"""
208
209	"""
210	if fitproblem !=None:
211	fitproblem.schedule_tofit(value)
212	else:
213	current_pg=self.fit_panel.get_current_page()
214	for page, val in self.page_finder.iteritems():
215	if page ==current_pg :
216	val.schedule_tofit(value)
217	break
218
219
220	def get_page_finder(self):
221	""" @return self.page_finder used also by simfitpage.py"""
222	return self.page_finder
223
224
225	def set_page_finder(self,modelname,names,values):
226	"""
227	Used by simfitpage.py to reset a parameter given the string constrainst.
228	@param modelname: the name ot the model for with the parameter has to reset
229	@param value: can be a string in this case.
230	@param names: the paramter name
231	@note: expecting park used for fit.
232	"""
233	sim_page=self.fit_panel.get_page(0)
234	for page, value in self.page_finder.iteritems():
235	if page != sim_page:
236	list=value.get_model()
237	model=list[0]
238	#print "fitting",model.name,modelname
239	if model.name== modelname:
240	value.set_model_param(names,values)
241	break
242
243
244
245	def split_string(self,item):
246	"""
247	receive a word containing dot and split it. used to split parameterset
248	name into model name and parameter name example:
249	paramaterset (item) = M1.A
250	@return model_name =M1 , parameter name =A
251	"""
252	if string.find(item,".")!=-1:
253	param_names= re.split("\.",item)
254	model_name=param_names[0]
255	param_name=param_names[1]
256	return model_name,param_name
257
258
259	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
260	"""
261	Display fit result on one page of the notebook.
262	@param result: result of fit
263	@param pars: list of names of parameters fitted
264	@param current_pg: the page where information will be displayed
265	@param qmin: the minimum value of x to replot the model
266	@param qmax: the maximum value of x to replot model
267
268	"""
269	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
270	#self.done = True
271	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
272	try:
273	for page, value in self.page_finder.iteritems():
274	if page==cpage :
275	#fitdata = value.get_data()
276	list = value.get_model()
277	model= list[0]
278	break
279	i = 0
280	#print "fitting: single fit pars ", pars
281	for name in pars:
282	if result.pvec.__class__==numpy.float64:
283	model.setParam(name,result.pvec)
284	else:
285	model.setParam(name,result.pvec[i])
286	# print "fitting: single fit", name, result.pvec[i]
287	i += 1
288	# print "fitting result : chisqr",result.fitness
289	# print "fitting result : pvec",result.pvec
290	# print "fitting result : stderr",result.stderr
291
292	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
293	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
294	except:
295	#raise
296	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
297
298
299	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
300	"""
301	Parameter estimation completed,
302	display the results to the user
303	@param alpha: estimated best alpha
304	@param elapsed: computation time
305	"""
306	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
307	try:
308	for page, value in self.page_finder.iteritems():
309	if value.get_scheduled()==1:
310	#fitdata = value.get_data()
311	list = value.get_model()
312	model= list[0]
313
314	small_out = []
315	small_cov = []
316	i = 0
317	#Separate result in to data corresponding to each page
318	for p in result.parameters:
319	model_name,param_name = self.split_string(p.name)
320	if model.name == model_name:
321	small_out.append(p.value )
322	small_cov.append(p.stderr)
323	model.setParam(param_name,p.value)
324	# Display result on each page
325	page.onsetValues(result.fitness, small_out,small_cov)
326	#Replot model
327	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
328	except:
329	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
330
331
332	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
333	"""
334	perform fit for the current page and return chisqr,out and cov
335	@param engineName: type of fit to be performed
336	@param id: unique id corresponding to a fit problem(model, set of data)
337	@param model: model to fit
338
339	"""
340	#print "in single fitting"
341	#set an engine to perform fit
342	from sans.fit.Fitting import Fit
343	self.fitter= Fit(self._fit_engine)
344	#Setting an id to store model and data in fit engine
345	if id==None:
346	id=0
347	self.id = id
348	page_fitted=None
349	fit_problem=None
350	#Get information (model , data) related to the page on
351	#with the fit will be perform
352	#current_pg=self.fit_panel.get_current_page()
353	#simul_pg=self.fit_panel.get_page(0)
354
355	for page, value in self.page_finder.iteritems():
356	if value.get_scheduled() ==1 :
357	metadata = value.get_data()
358	list=value.get_model()
359	model=list[0]
360	smearer= value.get_smearer()
361	#Create list of parameters for fitting used
362	pars=[]
363	templist=[]
364	try:
365	#templist=current_pg.get_param_list()
366	templist=page.get_param_list()
367	for element in templist:
368	pars.append(str(element[0].GetLabelText()))
369	pars.sort()
370	#print "single fit start pars:", pars
371	#Do the single fit
372	self.fitter.set_model(Model(model), self.id, pars)
373
374	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
375	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
376	page_fitted=page
377	self.id+=1
378	self.schedule_for_fit( 0,value)
379	except:
380	#raise
381	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
382	return
383	# make sure to keep an alphabetic order
384	#of parameter names in the list
385	try:
386	# If a thread is already started, stop it
387	if self.calc_thread != None and self.calc_thread.isrunning():
388	self.calc_thread.stop()
389
390	self.calc_thread =FitThread(parent =self.parent,
391	fn= self.fitter,
392	pars= pars,
393	cpage= page_fitted,
394	qmin=qmin,
395	qmax=qmax,
396	ymin= ymin,
397	ymax= ymax,
398	completefn=self._single_fit_completed,
399	updatefn=None)
400	self.calc_thread.queue()
401	self.calc_thread.ready(2.5)
402	#while not self.done:
403	#print "when here"
404	# time.sleep(1)
405
406
407	except:
408	#raise
409	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
410	return
411
412	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
413	"""
414	perform fit for all the pages selected on simpage and return chisqr,out and cov
415	@param engineName: type of fit to be performed
416	@param id: unique id corresponding to a fit problem(model, set of data)
417	in park_integration
418	@param model: model to fit
419
420	"""
421	#set an engine to perform fit
422	from sans.fit.Fitting import Fit
423	self.fitter= Fit(self._fit_engine)
424
425	#Setting an id to store model and data
426	if id==None:
427	id = 0
428	self.id = id
429
430	for page, value in self.page_finder.iteritems():
431	try:
432	if value.get_scheduled()==1:
433	metadata = value.get_data()
434	list = value.get_model()
435	model= list[0]
436	#Create dictionary of parameters for fitting used
437	pars = []
438	templist = []
439	templist = page.get_param_list()
440	for element in templist:
441	try:
442	name = str(element[0].GetLabelText())
443	pars.append(name)
444	except:
445	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
446	return
447	new_model=Model(model)
448	param=value.get_model_param()
449
450	if len(param)>0:
451	for item in param:
452	param_value = item[1]
453	param_name = item[0]
454	#print "fitting ", param,param_name, param_value
455
456	#new_model.set( model.getParam(param_name[0])= param_value)
457	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
458	#new_model.set( exec "%s"%(param_nam) = param_value)
459	new_model.parameterset[ param_name].set( param_value )
460
461	self.fitter.set_model(new_model, self.id, pars)
462	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
463	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
464	self.id += 1
465	except:
466	#raise
467	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
468	return
469	#Do the simultaneous fit
470	try:
471	# If a thread is already started, stop it
472	if self.calc_thread != None and self.calc_thread.isrunning():
473	self.calc_thread.stop()
474
475	self.calc_thread =FitThread(parent =self.parent,
476	fn= self.fitter,
477	qmin=qmin,
478	qmax=qmax,
479	ymin= ymin,
480	ymax= ymax,
481	completefn= self._simul_fit_completed,
482	updatefn=None)
483	self.calc_thread.queue()
484	self.calc_thread.ready(2.5)
485
486	except:
487	#raise
488	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
489	return
490
491
492	def _onset_engine(self,event):
493	""" set engine to scipy"""
494	if self._fit_engine== 'park':
495	self._on_change_engine('scipy')
496	else:
497	self._on_change_engine('park')
498	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
499
500
501	def _on_change_engine(self, engine='park'):
502	"""
503	Allow to select the type of engine to perform fit
504	@param engine: the key work of the engine
505	"""
506	self._fit_engine = engine
507
508
509	def _on_model_panel(self, evt):
510	"""
511	react to model selection on any combo box or model menu.plot the model
512	"""
513
514	model = evt.model
515	name = evt.name
516
517	sim_page=self.fit_panel.get_page(0)
518	current_pg = self.fit_panel.get_current_page()
519	selected_page = self.fit_panel.get_selected_page()
520	if current_pg != sim_page:
521	current_pg.set_panel(model)
522	model.name = self.page_finder[current_pg].get_name()
523	try:
524	metadata=self.page_finder[current_pg].get_data()
525	M_name=model.name+"= "+name+"("+metadata.group_id+")"
526	except:
527	M_name=model.name+"= "+name
528	#model.name="M"+str(self.index_model)
529	self.index_model += 1
530	# save model name
531
532	# save the name containing the data name with the appropriate model
533	self.page_finder[current_pg].set_model(model,M_name)
534	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
535	sim_page.add_model(self.page_finder)
536
537	def set_smearer(self,smearer):
538	current_pg=self.fit_panel.get_current_page()
539	self.page_finder[current_pg].set_smearer(smearer)
540
541	def redraw_model(self,qmin= None,qmax= None):
542	"""
543	Draw a theory according to model changes or data range.
544	@param qmin: the minimum value plotted for theory
545	@param qmax: the maximum value plotted for theory
546	"""
547	current_pg=self.fit_panel.get_current_page()
548	for page, value in self.page_finder.iteritems():
549	if page ==current_pg :
550	break
551	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
552
553	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
554	ymin=None,ymax=None, title=None ):
555	"""
556	Plot a theory given a model and data
557	@param model: the model from where the theory is derived
558	@param currpage: page in a dictionary referring to some data
559	"""
560	if self.fit_panel.get_page_count() >1:
561	for page in self.page_finder.iterkeys():
562	if page==currpage :
563	data=self.page_finder[page].get_data()
564	list=self.page_finder[page].get_model()
565	model=list[0]
566	break
567
568	if data!=None and data.__class__.__name__ != 'Data2D':
569	theory = Theory1D(x=[], y=[])
570	theory.name = model.name
571	theory.group_id = data.group_id
572	theory.id = "Model"
573	x_name, x_units = data.get_xaxis()
574	y_name, y_units = data.get_yaxis()
575	theory.xaxis(x_name, x_units)
576	theory.yaxis(y_name, y_units)
577	if qmin == None :
578	qmin = min(data.x)
579	if qmax == None :
580	qmax = max(data.x)
581	try:
582	tempx = qmin
583	tempy = model.run(qmin)
584	theory.x.append(tempx)
585	theory.y.append(tempy)
586	except :
587	wx.PostEvent(self.parent, StatusEvent(status="fitting \
588	skipping point x %g %s" %(qmin, sys.exc_value)))
589
590	for i in range(len(data.x)):
591	try:
592	if data.x[i]> qmin and data.x[i]< qmax:
593	tempx = data.x[i]
594	tempy = model.run(tempx)
595	theory.x.append(tempx)
596	theory.y.append(tempy)
597
598	except:
599	wx.PostEvent(self.parent, StatusEvent(status="fitting \
600	skipping point x %g %s" %(data.x[i], sys.exc_value)))
601	try:
602	tempx = qmax
603	tempy = model.run(qmax)
604	theory.x.append(tempx)
605	theory.y.append(tempy)
606	except:
607	wx.PostEvent(self.parent, StatusEvent(status="fitting \
608	skipping point x %g %s" %(qmin, sys.exc_value)) )
609	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
610	title=str(data.name)))
611	else:
612
613	theory=Data2D(data.data, data.err_data)
614	theory.name= model.name
615	if title !=None:
616	self.title = title
617	theory.id= self.title
618	theory.group_id= self.title+data.name
619	else:
620	self.title= "Analytical model 2D "
621	theory.id= "Model"
622	theory.group_id= "Model"+data.name
623	theory.x_bins= data.x_bins
624	theory.y_bins= data.y_bins
625	tempy=[]
626	if qmin==None:
627	qmin=data.xmin
628	if qmax==None:
629	qmax=data.xmax
630	if ymin==None:
631	ymin=data.ymin
632	if ymax==None:
633	ymax=data.ymax
634
635	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
636	for i in range(len(data.y_bins)):
637	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
638	for j in range(len(data.x_bins)):
639	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
640	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
641
642	#print "fitting : plot_helper:", theory.image
643	#print data.image
644	#print "fitting : plot_helper:",theory.image
645	theory.detector= data.detector
646	theory.source= data.source
647	theory.zmin= data.zmin
648	theory.zmax= data.zmax
649	theory.xmin= qmin
650	theory.xmax= qmax
651	theory.ymin= ymin
652	theory.ymax= ymax
653
654	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
655	title=self.title +str(data.name)))
656
657
658	def _on_model_menu(self, evt):
659	"""
660	Plot a theory from a model selected from the menu
661	"""
662	name = evt.model.__name__
663	if hasattr(evt.model, "name"):
664	name = evt.model.name
665	print "on model menu", name
666	model=evt.model()
667	description=model.description
668
669	# Create a model page. If a new page is created, the model
670	# will be plotted automatically. If a page already exists,
671	# the content will be updated and the plot refreshed
672	self.fit_panel.add_model_page(model,description,name,topmenu=True)
673
674	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,
675	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
676	"""
677	draw model with default data value
678	"""
679	self._draw_model2D(model=model,
680	description=model.description,
681	enable2D= enable2D,
682	qmin=qmin,
683	qmax=qmax,
684	qstep=qstep)
685	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
686
687	def _draw_model1D(self,model,name,description=None, enable1D=True,
688	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
689
690	if enable1D:
691	x= numpy.linspace(start= qmin,
692	stop= qmax,
693	num= qstep,
694	endpoint=True
695	)
696	xlen= len(x)
697	y = numpy.zeros(xlen)
698	if not enable1D:
699	for i in range(xlen):
700	y[i] = model.run(x[i])
701
702	try:
703	new_plot = Theory1D(x, y)
704
705	new_plot.name = name
706	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
707	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
708	new_plot.id = "Model"
709	new_plot.group_id ="Model"
710	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
711	except:
712	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
713	#raise
714	else:
715	for i in range(xlen):
716	y[i] = model.run(x[i])
717	#print x, y
718	try:
719	new_plot = Theory1D(x, y)
720	print "draw model 1D", name
721	new_plot.name = name
722	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
723	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
724	new_plot.id ="Model"
725	new_plot.group_id ="Model"
726
727	# Pass the reset flag to let the plotting event handler
728	# know that we are replacing the whole plot
729	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
730	title="Analytical model 1D ", reset=True ))
731
732	except:
733	#raise
734	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
735	def update(self, output,time):
736	pass
737
738	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
739
740	wx.PostEvent(self.parent, StatusEvent(status="Calc \
741	complete in %g sec" % elapsed))
742	#print "complete",output, model,qmin, qmax
743	data = output
744	theory= Data2D(data)
745	#print data.detector
746	#theory.detector= data.detector
747	from DataLoader.data_info import Detector, Source
748
749	detector = Detector()
750	theory.detector=[]
751	theory.detector.append(detector)
752
753	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
754	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
755	theory.detector[0].beam_center.x= qmax
756	theory.detector[0].beam_center.y= qmax
757	theory.detector[0].distance= 1e+12#13705.0
758	theory.source= Source()
759	theory.source.wavelength= 2*math.pi/1e+12#8.4
760
761	theory.name= model.name
762	theory.group_id ="Model"
763	theory.id ="Model"
764	theory.xmin= -qmax
765	theory.xmax= qmax
766	theory.ymin= -qmax
767	theory.ymax= qmax
768
769	print "model draw comptele xmax",theory.xmax,model.name
770	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
771	title="Analytical model 2D ", reset=True ))
772
773
774
775	def _draw_model2D(self,model,description=None, enable2D=False,
776	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
777
778	x= numpy.linspace(start= -1*qmax,
779	stop= qmax,
780	num= qstep,
781	endpoint=True )
782	y = numpy.linspace(start= -1*qmax,
783	stop= qmax,
784	num= qstep,
785	endpoint=True )
786
787	lx = len(x)
788	#print x
789	data=numpy.zeros([len(x),len(y)])
790	self.model= model
791	if enable2D:
792	from model_thread import Calc2D
793	self.calc_thread = Calc2D(parent =self.parent,x=x,
794	y=y,model= self.model,
795	qmin=qmin,
796	qmax=qmax,
797	qstep=qstep,
798	completefn=self.complete,
799	updatefn=None)
800	self.calc_thread.queue()
801	self.calc_thread.ready(2.5)
802
803	def show_panel2D(self, id=None ):
804	self.parent.show_panel(self.model2D_id)
805
806
807	if __name__ == "__main__":
808	i = Plugin()
809
810
811
812

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 68dada4

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