new_fitting.py @ 1374fbe4

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 1374fbe4 was c80c06f, checked in by Gervaise Alina <gervyh@…>, 16 years ago
refactore panels
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	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	print "single fit", model, smearer
362	#Create list of parameters for fitting used
363	pars=[]
364	templist=[]
365	try:
366	#templist=current_pg.get_param_list()
367	templist=page.get_param_list()
368	for element in templist:
369	pars.append(str(element[0].GetLabelText()))
370	pars.sort()
371	#print "single fit start pars:", pars
372	#Do the single fit
373	self.fitter.set_model(Model(model), self.id, pars)
374
375	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
376	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
377	page_fitted=page
378	self.id+=1
379	self.schedule_for_fit( 0,value)
380	except:
381	raise
382	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
383	return
384	# make sure to keep an alphabetic order
385	#of parameter names in the list
386	try:
387	# If a thread is already started, stop it
388	if self.calc_thread != None and self.calc_thread.isrunning():
389	self.calc_thread.stop()
390
391	self.calc_thread =FitThread(parent =self.parent,
392	fn= self.fitter,
393	pars= pars,
394	cpage= page_fitted,
395	qmin=qmin,
396	qmax=qmax,
397	ymin= ymin,
398	ymax= ymax,
399	completefn=self._single_fit_completed,
400	updatefn=None)
401	self.calc_thread.queue()
402	self.calc_thread.ready(2.5)
403	#while not self.done:
404	#print "when here"
405	# time.sleep(1)
406
407
408	except:
409	raise
410	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
411	return
412
413	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
414	"""
415	perform fit for all the pages selected on simpage and return chisqr,out and cov
416	@param engineName: type of fit to be performed
417	@param id: unique id corresponding to a fit problem(model, set of data)
418	in park_integration
419	@param model: model to fit
420
421	"""
422	#set an engine to perform fit
423	from sans.fit.Fitting import Fit
424	self.fitter= Fit(self._fit_engine)
425
426	#Setting an id to store model and data
427	if id==None:
428	id = 0
429	self.id = id
430
431	for page, value in self.page_finder.iteritems():
432	try:
433	if value.get_scheduled()==1:
434	metadata = value.get_data()
435	list = value.get_model()
436	model= list[0]
437	#Create dictionary of parameters for fitting used
438	pars = []
439	templist = []
440	templist = page.get_param_list()
441	for element in templist:
442	try:
443	name = str(element[0].GetLabelText())
444	pars.append(name)
445	except:
446	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
447	return
448	# need to check this print "new model "
449	new_model=Model(model)
450	param=value.get_model_param()
451
452	if len(param)>0:
453	for item in param:
454	param_value = item[1]
455	param_name = item[0]
456	#print "fitting ", param,param_name, param_value
457
458	#new_model.set( model.getParam(param_name[0])= param_value)
459	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
460	#new_model.set( exec "%s"%(param_nam) = param_value)
461	new_model.parameterset[ param_name].set( param_value )
462
463	self.fitter.set_model(new_model, self.id, pars)
464	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
465	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
466	self.id += 1
467	except:
468	#raise
469	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
470	return
471	#Do the simultaneous fit
472	try:
473	# If a thread is already started, stop it
474	if self.calc_thread != None and self.calc_thread.isrunning():
475	self.calc_thread.stop()
476
477	self.calc_thread =FitThread(parent =self.parent,
478	fn= self.fitter,
479	qmin=qmin,
480	qmax=qmax,
481	ymin= ymin,
482	ymax= ymax,
483	completefn= self._simul_fit_completed,
484	updatefn=None)
485	self.calc_thread.queue()
486	self.calc_thread.ready(2.5)
487
488	except:
489	#raise
490	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
491	return
492
493
494	def _onset_engine(self,event):
495	""" set engine to scipy"""
496	if self._fit_engine== 'park':
497	self._on_change_engine('scipy')
498	else:
499	self._on_change_engine('park')
500	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
501
502
503	def _on_change_engine(self, engine='park'):
504	"""
505	Allow to select the type of engine to perform fit
506	@param engine: the key work of the engine
507	"""
508	self._fit_engine = engine
509
510
511	def _on_model_panel(self, evt):
512	"""
513	react to model selection on any combo box or model menu.plot the model
514	"""
515
516	model = evt.model
517	name = evt.name
518
519	sim_page=self.fit_panel.GetPage(0)
520	current_pg = self.fit_panel.get_current_page()
521	if current_pg != sim_page:
522	current_pg.set_panel(model)
523	model.name = self.page_finder[current_pg].get_name()
524	try:
525	metadata=self.page_finder[current_pg].get_data()
526	M_name=model.name+"= "+name+"("+metadata.group_id+")"
527	except:
528	M_name=model.name+"= "+name
529	#model.name="M"+str(self.index_model)
530	self.index_model += 1
531	# save model name
532
533	# save the name containing the data name with the appropriate model
534	self.page_finder[current_pg].set_model(model,M_name)
535	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
536	sim_page.add_model(self.page_finder)
537
538	def set_smearer(self,smearer):
539	current_pg=self.fit_panel.get_current_page()
540	self.page_finder[current_pg].set_smearer(smearer)
541
542	def redraw_model(self,qmin= None,qmax= None):
543	"""
544	Draw a theory according to model changes or data range.
545	@param qmin: the minimum value plotted for theory
546	@param qmax: the maximum value plotted for theory
547	"""
548	current_pg=self.fit_panel.get_current_page()
549	for page, value in self.page_finder.iteritems():
550	if page ==current_pg :
551	break
552	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
553
554	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
555	ymin=None,ymax=None, title=None ):
556	"""
557	Plot a theory given a model and data
558	@param model: the model from where the theory is derived
559	@param currpage: page in a dictionary referring to some data
560	"""
561	if self.fit_panel.GetPageCount() >1:
562	for page in self.page_finder.iterkeys():
563	if page==currpage :
564	data=self.page_finder[page].get_data()
565	list=self.page_finder[page].get_model()
566	model=list[0]
567	break
568
569	if data!=None and data.__class__.__name__ != 'Data2D':
570	theory = Theory1D(x=[], y=[])
571	theory.name = model.name
572	theory.group_id = data.group_id
573	theory.id = "Model"
574	x_name, x_units = data.get_xaxis()
575	y_name, y_units = data.get_yaxis()
576	theory.xaxis(x_name, x_units)
577	theory.yaxis(y_name, y_units)
578	if qmin == None :
579	qmin = min(data.x)
580	if qmax == None :
581	qmax = max(data.x)
582	try:
583	tempx = qmin
584	tempy = model.run(qmin)
585	theory.x.append(tempx)
586	theory.y.append(tempy)
587	except :
588	wx.PostEvent(self.parent, StatusEvent(status="fitting \
589	skipping point x %g %s" %(qmin, sys.exc_value)))
590
591	for i in range(len(data.x)):
592	try:
593	if data.x[i]> qmin and data.x[i]< qmax:
594	tempx = data.x[i]
595	tempy = model.run(tempx)
596	theory.x.append(tempx)
597	theory.y.append(tempy)
598
599	except:
600	wx.PostEvent(self.parent, StatusEvent(status="fitting \
601	skipping point x %g %s" %(data.x[i], sys.exc_value)))
602	try:
603	tempx = qmax
604	tempy = model.run(qmax)
605	theory.x.append(tempx)
606	theory.y.append(tempy)
607	except:
608	wx.PostEvent(self.parent, StatusEvent(status="fitting \
609	skipping point x %g %s" %(qmin, sys.exc_value)) )
610	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
611	title=str(data.name)))
612	else:
613
614	theory=Data2D(data.data, data.err_data)
615	theory.name= model.name
616	if title !=None:
617	self.title = title
618	theory.id= self.title
619	theory.group_id= self.title+data.name
620	else:
621	self.title= "Analytical model 2D "
622	theory.id= "Model"
623	theory.group_id= "Model"+data.name
624	theory.x_bins= data.x_bins
625	theory.y_bins= data.y_bins
626	tempy=[]
627	if qmin==None:
628	qmin=data.xmin
629	if qmax==None:
630	qmax=data.xmax
631	if ymin==None:
632	ymin=data.ymin
633	if ymax==None:
634	ymax=data.ymax
635
636	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
637	for i in range(len(data.y_bins)):
638	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
639	for j in range(len(data.x_bins)):
640	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
641	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
642
643	#print "fitting : plot_helper:", theory.image
644	#print data.image
645	#print "fitting : plot_helper:",theory.image
646	theory.detector= data.detector
647	theory.source= data.source
648	theory.zmin= data.zmin
649	theory.zmax= data.zmax
650	theory.xmin= qmin
651	theory.xmax= qmax
652	theory.ymin= ymin
653	theory.ymax= ymax
654
655	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
656	title=self.title +str(data.name)))
657
658
659	def _on_model_menu(self, evt):
660	"""
661	Plot a theory from a model selected from the menu
662	"""
663	name = evt.model.__name__
664	if hasattr(evt.model, "name"):
665	name = evt.model.name
666	print "on model menu", name
667	model=evt.model()
668	description=model.description
669
670	# Create a model page. If a new page is created, the model
671	# will be plotted automatically. If a page already exists,
672	# the content will be updated and the plot refreshed
673	self.fit_panel.add_model_page(model,description,name,topmenu=True)
674
675	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
676	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
677	"""
678	draw model with default data value
679	"""
680	if data !=None:
681	self.redraw_model(qmin,qmax)
682	return
683	self._draw_model2D(model=model,
684	description=model.description,
685	enable2D= enable2D,
686	qmin=qmin,
687	qmax=qmax,
688	qstep=qstep)
689	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
690
691	def _draw_model1D(self,model,name,description=None, enable1D=True,
692	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
693
694	if enable1D:
695	x= numpy.linspace(start= qmin,
696	stop= qmax,
697	num= qstep,
698	endpoint=True
699	)
700	xlen= len(x)
701	y = numpy.zeros(xlen)
702	if not enable1D:
703	for i in range(xlen):
704	y[i] = model.run(x[i])
705
706	try:
707	new_plot = Theory1D(x, y)
708
709	new_plot.name = name
710	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
711	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
712	new_plot.id = "Model"
713	new_plot.group_id ="Model"
714	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
715	except:
716	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
717	#raise
718	else:
719	for i in range(xlen):
720	y[i] = model.run(x[i])
721	#print x, y
722	try:
723	new_plot = Theory1D(x, y)
724	print "draw model 1D", name
725	new_plot.name = name
726	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
727	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
728	new_plot.id ="Model"
729	new_plot.group_id ="Model"
730
731	# Pass the reset flag to let the plotting event handler
732	# know that we are replacing the whole plot
733	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
734	title="Analytical model 1D ", reset=True ))
735
736	except:
737	#raise
738	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
739	def update(self, output,time):
740	pass
741
742	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
743
744	wx.PostEvent(self.parent, StatusEvent(status="Calc \
745	complete in %g sec" % elapsed))
746	#print "complete",output, model,qmin, qmax
747	data = output
748	theory= Data2D(data)
749	#print data.detector
750	#theory.detector= data.detector
751	from DataLoader.data_info import Detector, Source
752
753	detector = Detector()
754	theory.detector=[]
755	theory.detector.append(detector)
756
757	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
758	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
759	theory.detector[0].beam_center.x= qmax
760	theory.detector[0].beam_center.y= qmax
761	theory.detector[0].distance= 1e+12#13705.0
762	theory.source= Source()
763	theory.source.wavelength= 2*math.pi/1e+12#8.4
764
765	theory.name= model.name
766	theory.group_id ="Model"
767	theory.id ="Model"
768	theory.xmin= -qmax
769	theory.xmax= qmax
770	theory.ymin= -qmax
771	theory.ymax= qmax
772
773	print "model draw comptele xmax",theory.xmax,model.name
774	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
775	title="Analytical model 2D ", reset=True ))
776
777
778
779	def _draw_model2D(self,model,description=None, enable2D=False,
780	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
781
782	x= numpy.linspace(start= -1*qmax,
783	stop= qmax,
784	num= qstep,
785	endpoint=True )
786	y = numpy.linspace(start= -1*qmax,
787	stop= qmax,
788	num= qstep,
789	endpoint=True )
790
791	lx = len(x)
792	#print x
793	data=numpy.zeros([len(x),len(y)])
794	self.model= model
795	if enable2D:
796	from model_thread import Calc2D
797	self.calc_thread = Calc2D(parent =self.parent,x=x,
798	y=y,model= self.model,
799	qmin=qmin,
800	qmax=qmax,
801	qstep=qstep,
802	completefn=self.complete,
803	updatefn=None)
804	self.calc_thread.queue()
805	self.calc_thread.ready(2.5)
806
807	def show_panel2D(self, id=None ):
808	self.parent.show_panel(self.model2D_id)
809
810
811	if __name__ == "__main__":
812	i = Plugin()
813
814
815
816

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/new_fitting.py @ 1374fbe4

Download in other formats: