fitting.py @ 22210ef

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 22210ef was 22210ef, checked in by Jae Cho <jhjcho@…>, 15 years ago
Fixed bug not showing qmax in q range box for 2d fitting
Property mode set to `100644`
File size: 34.2 KB

Line
1	import os,os.path, re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from copy import deepcopy
6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL
10
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
139	#create the fitting panel
140	#return [self.fit_panel]
141
142	self.mypanels.append(self.fit_panel)
143	return self.mypanels
144
145
146	def _on_model2D_show(self, event ):
147	print "model2D get the id ", event.id
148
149
150	def _on_slicer_event(self, event):
151	print "fitting:slicer event ", event.panel
152	if event.panel!=None:
153	new_panel = event.panel
154	# Set group ID if available
155	event_id = self.parent.popup_panel(new_panel)
156	self.menu1.Append(event_id, new_panel.window_caption,
157	"Show %s plot panel" % new_panel.window_caption)
158	# Set UID to allow us to reference the panel later
159	new_panel.uid = event_id
160	new_panel
161	self.mypanels.append(new_panel)
162	return
163	def _on_show_panel(self, event):
164	print "_on_show_panel: fitting"
165
166	def get_perspective(self):
167	"""
168	Get the list of panel names for this perspective
169	"""
170	return self.perspective
171
172
173	def on_perspective(self, event):
174	"""
175	Call back function for the perspective menu item.
176	We notify the parent window that the perspective
177	has changed.
178	"""
179	self.parent.set_perspective(self.perspective)
180
181
182	def post_init(self):
183	"""
184	Post initialization call back to close the loose ends
185	[Somehow openGL needs this call]
186	"""
187	self.parent.set_perspective(self.perspective)
188
189
190	def _onSelect(self,event):
191	"""
192	when Select data to fit a new page is created .Its reference is
193	added to self.page_finder
194	"""
195	self.panel = event.GetEventObject()
196	for item in self.panel.graph.plottables:
197	if item.name == self.panel.graph.selected_plottable or\
198	item.__class__.__name__ is "Data2D":
199	#find a name for the page created for notebook
200	try:
201	page, model_name = self.fit_panel.add_fit_page(item)
202	# add data associated to the page created
203
204	if page !=None:
205	#create a fitproblem storing all link to data,model,page creation
206	self.page_finder[page]= FitProblem()
207	self.page_finder[page].save_model_name(model_name)
208	self.page_finder[page].add_data(item)
209	except:
210	raise
211	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
212	%sys.exc_value))
213	def schedule_for_fit(self,value=0,fitproblem =None):
214	"""
215
216	"""
217	if fitproblem !=None:
218	fitproblem.schedule_tofit(value)
219	else:
220	current_pg=self.fit_panel.get_current_page()
221	for page, val in self.page_finder.iteritems():
222	if page ==current_pg :
223	val.schedule_tofit(value)
224	break
225
226
227	def get_page_finder(self):
228	""" @return self.page_finder used also by simfitpage.py"""
229	return self.page_finder
230
231
232	def set_page_finder(self,modelname,names,values):
233	"""
234	Used by simfitpage.py to reset a parameter given the string constrainst.
235	@param modelname: the name ot the model for with the parameter has to reset
236	@param value: can be a string in this case.
237	@param names: the paramter name
238	@note: expecting park used for fit.
239	"""
240	sim_page=self.fit_panel.get_page(1)
241	for page, value in self.page_finder.iteritems():
242	if page != sim_page:
243	list=value.get_model()
244	model=list[0]
245	#print "fitting",model.name,modelname
246	if model.name== modelname:
247	value.set_model_param(names,values)
248	break
249
250
251
252	def split_string(self,item):
253	"""
254	receive a word containing dot and split it. used to split parameterset
255	name into model name and parameter name example:
256	paramaterset (item) = M1.A
257	@return model_name =M1 , parameter name =A
258	"""
259	if string.find(item,".")!=-1:
260	param_names= re.split("\.",item)
261	model_name=param_names[0]
262	param_name=param_names[1]
263	return model_name,param_name
264
265
266	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
267	ymin=None, ymax=None, xmin=None, xmax=None):
268	"""
269	Display fit result on one page of the notebook.
270	@param result: result of fit
271	@param pars: list of names of parameters fitted
272	@param current_pg: the page where information will be displayed
273	@param qmin: the minimum value of x to replot the model
274	@param qmax: the maximum value of x to replot model
275
276	"""
277	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
278	#self.done = True
279	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
280	try:
281	for page, value in self.page_finder.iteritems():
282	if page==cpage :
283	#fitdata = value.get_data()
284	list = value.get_model()
285	model= list[0]
286	break
287	i = 0
288	#print "fitting: single fit pars ", pars
289	for name in pars:
290	if result.pvec.__class__==numpy.float64:
291	model.setParam(name,result.pvec)
292	else:
293	model.setParam(name,result.pvec[i])
294	# print "fitting: single fit", name, result.pvec[i]
295	i += 1
296	print "fitting result : chisqr",result.fitness
297	print "fitting result : pvec",result.pvec
298	print "fitting result : stderr",result.stderr
299	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
300
301	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
302	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
303	ymin=ymin, ymax=ymax,
304	xmin=xmin, xmax=xmax,title="Fitted model 2D ")
305	except:
306	#raise
307	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
308
309
310	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
311	"""
312	Parameter estimation completed,
313	display the results to the user
314	@param alpha: estimated best alpha
315	@param elapsed: computation time
316	"""
317	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
318	try:
319	for page, value in self.page_finder.iteritems():
320	if value.get_scheduled()==1:
321	#fitdata = value.get_data()
322	list = value.get_model()
323	model= list[0]
324
325	small_out = []
326	small_cov = []
327	i = 0
328	#Separate result in to data corresponding to each page
329	for p in result.parameters:
330	model_name,param_name = self.split_string(p.name)
331	if model.name == model_name:
332	small_out.append(p.value )
333	small_cov.append(p.stderr)
334	model.setParam(param_name,p.value)
335	# Display result on each page
336	page.onsetValues(result.fitness, small_out,small_cov)
337	#Replot model
338	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
339	except:
340	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
341
342
343	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
344	"""
345	perform fit for the current page and return chisqr,out and cov
346	@param engineName: type of fit to be performed
347	@param id: unique id corresponding to a fit problem(model, set of data)
348	@param model: model to fit
349
350	"""
351	#print "in single fitting"
352	#set an engine to perform fit
353	from sans.fit.Fitting import Fit
354	self.fitter= Fit(self._fit_engine)
355	#Setting an id to store model and data in fit engine
356	if id==None:
357	self.id=0
358	else:
359	self.id = id
360	page_fitted=None
361	fit_problem=None
362	#Get information (model , data) related to the page on
363	#with the fit will be perform
364	#current_pg=self.fit_panel.get_current_page()
365	#simul_pg=self.fit_panel.get_page(0)
366
367	for page, value in self.page_finder.iteritems():
368	if value.get_scheduled() ==1 :
369	metadata = value.get_data()
370	list=value.get_model()
371	model=list[0]
372	smearer= value.get_smearer()
373	print "single fit", model, smearer
374	#Create list of parameters for fitting used
375	pars=[]
376	templist=[]
377	try:
378	#templist=current_pg.get_param_list()
379	templist=page.get_param_list()
380	for element in templist:
381	pars.append(str(element[0].GetLabelText()))
382	pars.sort()
383	#print "single fit start pars:", pars
384	#Do the single fit
385	self.fitter.set_model(Model(model), self.id, pars)
386	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
387
388	self.fitter.set_data(data=metadata,Uid=self.id,
389	smearer=smearer,qmin= qmin,qmax=qmax,
390	ymin=ymin,ymax=ymax)
391
392	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
393	page_fitted=page
394	self.id+=1
395	self.schedule_for_fit( 0,value)
396	except:
397	raise
398	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
399	return
400	# make sure to keep an alphabetic order
401	#of parameter names in the list
402	try:
403	# If a thread is already started, stop it
404	if self.calc_thread != None and self.calc_thread.isrunning():
405	self.calc_thread.stop()
406
407	self.calc_thread =FitThread(parent =self.parent,
408	fn= self.fitter,
409	pars= pars,
410	cpage= page_fitted,
411	qmin=qmin,
412	qmax=qmax,
413
414	completefn=self._single_fit_completed,
415	updatefn=None)
416	self.calc_thread.queue()
417	self.calc_thread.ready(2.5)
418	#while not self.done:
419	#print "when here"
420	# time.sleep(1)
421
422
423	except:
424	raise
425	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
426	return
427
428	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
429	"""
430	perform fit for all the pages selected on simpage and return chisqr,out and cov
431	@param engineName: type of fit to be performed
432	@param id: unique id corresponding to a fit problem(model, set of data)
433	in park_integration
434	@param model: model to fit
435
436	"""
437	#set an engine to perform fit
438	from sans.fit.Fitting import Fit
439	self.fitter= Fit(self._fit_engine)
440
441	#Setting an id to store model and data
442	if id==None:
443	id = 0
444	self.id = id
445
446	for page, value in self.page_finder.iteritems():
447	try:
448	if value.get_scheduled()==1:
449	metadata = value.get_data()
450	list = value.get_model()
451	model= list[0]
452	#Create dictionary of parameters for fitting used
453	pars = []
454	templist = []
455	templist = page.get_param_list()
456	for element in templist:
457	try:
458	name = str(element[0].GetLabelText())
459	pars.append(name)
460	except:
461	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
462	return
463	# need to check this print "new model "
464	new_model=Model(model)
465	param=value.get_model_param()
466
467	if len(param)>0:
468	for item in param:
469	param_value = item[1]
470	param_name = item[0]
471	#print "fitting ", param,param_name, param_value
472
473	#new_model.set( model.getParam(param_name[0])= param_value)
474	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
475	#new_model.set( exec "%s"%(param_nam) = param_value)
476	new_model.parameterset[ param_name].set( param_value )
477
478	self.fitter.set_model(new_model, self.id, pars)
479	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
480	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
481	self.id += 1
482	except:
483	#raise
484	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
485	return
486	#Do the simultaneous fit
487	try:
488	# If a thread is already started, stop it
489	if self.calc_thread != None and self.calc_thread.isrunning():
490	self.calc_thread.stop()
491
492	self.calc_thread =FitThread(parent =self.parent,
493	fn= self.fitter,
494	qmin=qmin,
495	qmax=qmax,
496	ymin= ymin,
497	ymax= ymax,
498	completefn= self._simul_fit_completed,
499	updatefn=None)
500	self.calc_thread.queue()
501	self.calc_thread.ready(2.5)
502
503	except:
504	#raise
505	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
506	return
507
508
509	def _onset_engine(self,event):
510	""" set engine to scipy"""
511	if self._fit_engine== 'park':
512	self._on_change_engine('scipy')
513	else:
514	self._on_change_engine('park')
515	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
516
517
518	def _on_change_engine(self, engine='park'):
519	"""
520	Allow to select the type of engine to perform fit
521	@param engine: the key work of the engine
522	"""
523	self._fit_engine = engine
524
525
526	def _on_model_panel(self, evt):
527	"""
528	react to model selection on any combo box or model menu.plot the model
529	"""
530
531	model = evt.model
532	name = evt.name
533
534	sim_page=self.fit_panel.GetPage(1)
535	current_pg = self.fit_panel.get_current_page()
536	if current_pg != sim_page:
537	current_pg.set_panel(model)
538	model.name = self.page_finder[current_pg].get_name()
539	try:
540	metadata=self.page_finder[current_pg].get_data()
541	M_name=model.name+"= "+name+"("+metadata.group_id+")"
542	except:
543	M_name=model.name+"= "+name
544	#model.name="M"+str(self.index_model)
545	self.index_model += 1
546	# save model name
547
548	# save the name containing the data name with the appropriate model
549	self.page_finder[current_pg].set_model(model,M_name)
550	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
551	sim_page.add_model(self.page_finder)
552
553	def set_smearer(self,smearer):
554	current_pg=self.fit_panel.get_current_page()
555	self.page_finder[current_pg].set_smearer(smearer)
556
557	def redraw_model(self,qmin= None,qmax= None):
558	"""
559	Draw a theory according to model changes or data range.
560	@param qmin: the minimum value plotted for theory
561	@param qmax: the maximum value plotted for theory
562	"""
563	current_pg=self.fit_panel.get_current_page()
564	for page, value in self.page_finder.iteritems():
565	if page ==current_pg :
566	break
567	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
568
569	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
570	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
571	"""
572	Plot a theory given a model and data
573	@param model: the model from where the theory is derived
574	@param currpage: page in a dictionary referring to some data
575	"""
576	if self.fit_panel.GetPageCount() >1:
577	for page in self.page_finder.iterkeys():
578	if page==currpage :
579	data=self.page_finder[page].get_data()
580	list=self.page_finder[page].get_model()
581	model=list[0]
582	break
583	print "model in fitting",model
584	if data!=None and data.__class__.__name__ != 'Data2D':
585	theory = Theory1D(x=[], y=[])
586	theory.name = model.name
587	theory.group_id = data.group_id
588	theory.id = "Model"
589	x_name, x_units = data.get_xaxis()
590	y_name, y_units = data.get_yaxis()
591	theory.xaxis(x_name, x_units)
592	theory.yaxis(y_name, y_units)
593	if qmin == None :
594	qmin = min(data.x)
595	if qmax == None :
596	qmax = max(data.x)
597	try:
598	tempx = qmin
599	tempy = model.run(qmin)
600	theory.x.append(tempx)
601	theory.y.append(tempy)
602	except :
603	wx.PostEvent(self.parent, StatusEvent(status="fitting \
604	skipping point x %g %s" %(qmin, sys.exc_value)))
605
606	for i in range(len(data.x)):
607	try:
608	if data.x[i]> qmin and data.x[i]< qmax:
609	tempx = data.x[i]
610	tempy = model.run(tempx)
611	theory.x.append(tempx)
612	theory.y.append(tempy)
613
614	except:
615	wx.PostEvent(self.parent, StatusEvent(status="fitting \
616	skipping point x %g %s" %(data.x[i], sys.exc_value)))
617	try:
618	tempx = qmax
619	tempy = model.run(qmax)
620	theory.x.append(tempx)
621	theory.y.append(tempy)
622	except:
623	wx.PostEvent(self.parent, StatusEvent(status="fitting \
624	skipping point x %g %s" %(qmin, sys.exc_value)) )
625	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
626	title=str(data.name)))
627	else:
628
629	theory=Data2D(data.data, data.err_data)
630	theory.name= model.name
631	if title !=None:
632	self.title = title
633	theory.id= self.title
634	theory.group_id= self.title+data.name
635	else:
636	self.title= "Analytical model 2D "
637	theory.id= "Model"
638	theory.group_id= "Model"+data.name
639	theory.x_bins= data.x_bins
640	theory.y_bins= data.y_bins
641	tempy=[]
642	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
643	if qmin==None:
644	qmin=0#data.xmin
645	if qmax==None:
646	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
647	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
648	if ymin==None:
649	ymin=data.ymin
650	if ymax==None:
651	ymax=data.ymax
652	if xmin ==None:
653	xmin=data.xmin
654	if xmax==None:
655	xmax=data.xmax
656	#print " q range =",
657	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
658	for j in range(len(data.y_bins)):
659	for i in range(len(data.x_bins)):
660	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
661	if tempqij>= qmin and tempqij<= qmax:
662	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
663	else:
664	theory.data[j][i]=None
665	print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j
666	#print "fitting : plot_helper:", theory.image
667	#print "fitting : plot_helper:",theory.image
668	theory.detector= data.detector
669	theory.source= data.source
670
671	theory.xmin= xmin
672	theory.xmax= xmax
673	theory.ymin= ymin
674	theory.ymax= ymax
675
676	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
677	title=self.title +str(data.name)))
678
679
680	def _on_model_menu(self, evt):
681	"""
682	Plot a theory from a model selected from the menu
683	"""
684	name = evt.model.__name__
685	if hasattr(evt.model, "name"):
686	name = evt.model.name
687	print "on model menu", name
688	model=evt.model()
689	description=model.description
690
691	# Create a model page. If a new page is created, the model
692	# will be plotted automatically. If a page already exists,
693	# the content will be updated and the plot refreshed
694	self.fit_panel.add_model_page(model,description,name,topmenu=True)
695
696	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
697	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
698	"""
699	draw model with default data value
700	"""
701	if data !=None:
702	self.redraw_model(qmin,qmax)
703	return
704	self._draw_model2D(model=model,
705	description=model.description,
706	enable2D= enable2D,
707	qmin=qmin,
708	qmax=qmax,
709	qstep=qstep)
710	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
711
712	def _draw_model1D(self,model,name,description=None, enable1D=True,
713	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
714
715	if enable1D:
716	x= numpy.linspace(start= qmin,
717	stop= qmax,
718	num= qstep,
719	endpoint=True
720	)
721	xlen= len(x)
722	y = numpy.zeros(xlen)
723	if not enable1D:
724	for i in range(xlen):
725	y[i] = model.run(x[i])
726
727	try:
728	new_plot = Theory1D(x, y)
729
730	new_plot.name = name
731	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
732	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
733	new_plot.id = "Model"
734	new_plot.group_id ="Model"
735	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
736	except:
737	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
738	#raise
739	else:
740	for i in range(xlen):
741	y[i] = model.run(x[i])
742	#print x, y
743	try:
744	new_plot = Theory1D(x, y)
745	print "draw model 1D", name
746	new_plot.name = name
747	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
748	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
749	new_plot.id ="Model"
750	new_plot.group_id ="Model"
751
752	# Pass the reset flag to let the plotting event handler
753	# know that we are replacing the whole plot
754	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
755	title="Analytical model 1D ", reset=True ))
756
757	except:
758	#raise
759	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
760	def update(self, output,time):
761	pass
762
763	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
764
765	wx.PostEvent(self.parent, StatusEvent(status="Calc \
766	complete in %g sec" % elapsed))
767	#print "complete",output, model,qmin, qmax
768	data = output
769	theory= Data2D(data)
770	#print data.detector
771	#theory.detector= data.detector
772	from DataLoader.data_info import Detector, Source
773
774	detector = Detector()
775	theory.detector=[]
776	theory.detector.append(detector)
777
778	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
779	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
780	theory.detector[0].beam_center.x= qmax
781	theory.detector[0].beam_center.y= qmax
782	theory.detector[0].distance= 1e+12#13705.0
783	theory.source= Source()
784	theory.source.wavelength= 2*math.pi/1e+12#8.4
785
786	theory.name= model.name
787	theory.group_id ="Model"
788	theory.id ="Model"
789
790
791
792	theory.xmin= -qmax
793	theory.xmax= qmax
794	theory.ymin= -qmax
795	theory.ymax= qmax
796
797	print "model draw comptele xmax",theory.xmax,model.name
798	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
799	title="Analytical model 2D ", reset=True ))
800
801
802
803	def _draw_model2D(self,model,description=None, enable2D=False,
804	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
805
806	x= numpy.linspace(start= -1*qmax,
807	stop= qmax,
808	num= qstep,
809	endpoint=True )
810	y = numpy.linspace(start= -1*qmax,
811	stop= qmax,
812	num= qstep,
813	endpoint=True )
814
815	lx = len(x)
816	#print x
817	data=numpy.zeros([len(x),len(y)])
818	self.model= model
819	if enable2D:
820	from model_thread import Calc2D
821	self.calc_thread = Calc2D(parent =self.parent,x=x,
822	y=y,model= self.model,
823	qmin=qmin,
824	qmax=qmax,
825	qstep=qstep,
826	completefn=self.complete,
827	updatefn=None)
828	self.calc_thread.queue()
829	self.calc_thread.ready(2.5)
830
831	def show_panel2D(self, id=None ):
832	self.parent.show_panel(self.model2D_id)
833
834
835	if __name__ == "__main__":
836	i = Plugin()
837
838
839
840

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 22210ef

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