fitting.py @ 888e62c

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 888e62c was 888e62c, checked in by Gervaise Alina <gervyh@…>, 15 years ago
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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,ymin=None, ymax=None):
267	"""
268	Display fit result on one page of the notebook.
269	@param result: result of fit
270	@param pars: list of names of parameters fitted
271	@param current_pg: the page where information will be displayed
272	@param qmin: the minimum value of x to replot the model
273	@param qmax: the maximum value of x to replot model
274
275	"""
276	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
277	#self.done = True
278	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
279	try:
280	for page, value in self.page_finder.iteritems():
281	if page==cpage :
282	#fitdata = value.get_data()
283	list = value.get_model()
284	model= list[0]
285	break
286	i = 0
287	#print "fitting: single fit pars ", pars
288	for name in pars:
289	if result.pvec.__class__==numpy.float64:
290	model.setParam(name,result.pvec)
291	else:
292	model.setParam(name,result.pvec[i])
293	# print "fitting: single fit", name, result.pvec[i]
294	i += 1
295	print "fitting result : chisqr",result.fitness
296	print "fitting result : pvec",result.pvec
297	print "fitting result : stderr",result.stderr
298	print "xmin xmax ymin , ymax",qmin, qmax, ymin, ymax
299
300	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
301	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
302	except:
303	#raise
304	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
305
306
307	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
308	"""
309	Parameter estimation completed,
310	display the results to the user
311	@param alpha: estimated best alpha
312	@param elapsed: computation time
313	"""
314	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
315	try:
316	for page, value in self.page_finder.iteritems():
317	if value.get_scheduled()==1:
318	#fitdata = value.get_data()
319	list = value.get_model()
320	model= list[0]
321
322	small_out = []
323	small_cov = []
324	i = 0
325	#Separate result in to data corresponding to each page
326	for p in result.parameters:
327	model_name,param_name = self.split_string(p.name)
328	if model.name == model_name:
329	small_out.append(p.value )
330	small_cov.append(p.stderr)
331	model.setParam(param_name,p.value)
332	# Display result on each page
333	page.onsetValues(result.fitness, small_out,small_cov)
334	#Replot model
335	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
336	except:
337	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
338
339
340	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None, ymax=None):
341	"""
342	perform fit for the current page and return chisqr,out and cov
343	@param engineName: type of fit to be performed
344	@param id: unique id corresponding to a fit problem(model, set of data)
345	@param model: model to fit
346
347	"""
348	#print "in single fitting"
349	#set an engine to perform fit
350	from sans.fit.Fitting import Fit
351	self.fitter= Fit(self._fit_engine)
352	#Setting an id to store model and data in fit engine
353	if id==None:
354	self.id=0
355	else:
356	self.id = id
357	page_fitted=None
358	fit_problem=None
359	#Get information (model , data) related to the page on
360	#with the fit will be perform
361	#current_pg=self.fit_panel.get_current_page()
362	#simul_pg=self.fit_panel.get_page(0)
363
364	for page, value in self.page_finder.iteritems():
365	if value.get_scheduled() ==1 :
366	metadata = value.get_data()
367	list=value.get_model()
368	model=list[0]
369	smearer= value.get_smearer()
370	print "single fit", model, smearer
371	#Create list of parameters for fitting used
372	pars=[]
373	templist=[]
374	try:
375	#templist=current_pg.get_param_list()
376	templist=page.get_param_list()
377	for element in templist:
378	pars.append(str(element[0].GetLabelText()))
379	pars.sort()
380	#print "single fit start pars:", pars
381	#Do the single fit
382	self.fitter.set_model(Model(model), self.id, pars)
383	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
384
385	self.fitter.set_data(data=metadata,Uid=self.id,
386	smearer=smearer,qmin= qmin,qmax=qmax,
387	ymin=ymin,ymax=ymax)
388
389	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
390	page_fitted=page
391	self.id+=1
392	self.schedule_for_fit( 0,value)
393	except:
394	raise
395	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
396	return
397	# make sure to keep an alphabetic order
398	#of parameter names in the list
399	try:
400	# If a thread is already started, stop it
401	if self.calc_thread != None and self.calc_thread.isrunning():
402	self.calc_thread.stop()
403
404	self.calc_thread =FitThread(parent =self.parent,
405	fn= self.fitter,
406	pars= pars,
407	cpage= page_fitted,
408	qmin=qmin,
409	qmax=qmax,
410
411	completefn=self._single_fit_completed,
412	updatefn=None)
413	self.calc_thread.queue()
414	self.calc_thread.ready(2.5)
415	#while not self.done:
416	#print "when here"
417	# time.sleep(1)
418
419
420	except:
421	raise
422	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
423	return
424
425	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
426	"""
427	perform fit for all the pages selected on simpage and return chisqr,out and cov
428	@param engineName: type of fit to be performed
429	@param id: unique id corresponding to a fit problem(model, set of data)
430	in park_integration
431	@param model: model to fit
432
433	"""
434	#set an engine to perform fit
435	from sans.fit.Fitting import Fit
436	self.fitter= Fit(self._fit_engine)
437
438	#Setting an id to store model and data
439	if id==None:
440	id = 0
441	self.id = id
442
443	for page, value in self.page_finder.iteritems():
444	try:
445	if value.get_scheduled()==1:
446	metadata = value.get_data()
447	list = value.get_model()
448	model= list[0]
449	#Create dictionary of parameters for fitting used
450	pars = []
451	templist = []
452	templist = page.get_param_list()
453	for element in templist:
454	try:
455	name = str(element[0].GetLabelText())
456	pars.append(name)
457	except:
458	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
459	return
460	# need to check this print "new model "
461	new_model=Model(model)
462	param=value.get_model_param()
463
464	if len(param)>0:
465	for item in param:
466	param_value = item[1]
467	param_name = item[0]
468	#print "fitting ", param,param_name, param_value
469
470	#new_model.set( model.getParam(param_name[0])= param_value)
471	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
472	#new_model.set( exec "%s"%(param_nam) = param_value)
473	new_model.parameterset[ param_name].set( param_value )
474
475	self.fitter.set_model(new_model, self.id, pars)
476	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
477	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
478	self.id += 1
479	except:
480	#raise
481	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
482	return
483	#Do the simultaneous fit
484	try:
485	# If a thread is already started, stop it
486	if self.calc_thread != None and self.calc_thread.isrunning():
487	self.calc_thread.stop()
488
489	self.calc_thread =FitThread(parent =self.parent,
490	fn= self.fitter,
491	qmin=qmin,
492	qmax=qmax,
493	ymin= ymin,
494	ymax= ymax,
495	completefn= self._simul_fit_completed,
496	updatefn=None)
497	self.calc_thread.queue()
498	self.calc_thread.ready(2.5)
499
500	except:
501	#raise
502	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
503	return
504
505
506	def _onset_engine(self,event):
507	""" set engine to scipy"""
508	if self._fit_engine== 'park':
509	self._on_change_engine('scipy')
510	else:
511	self._on_change_engine('park')
512	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
513
514
515	def _on_change_engine(self, engine='park'):
516	"""
517	Allow to select the type of engine to perform fit
518	@param engine: the key work of the engine
519	"""
520	self._fit_engine = engine
521
522
523	def _on_model_panel(self, evt):
524	"""
525	react to model selection on any combo box or model menu.plot the model
526	"""
527
528	model = evt.model
529	name = evt.name
530
531	sim_page=self.fit_panel.GetPage(1)
532	current_pg = self.fit_panel.get_current_page()
533	if current_pg != sim_page:
534	current_pg.set_panel(model)
535	model.name = self.page_finder[current_pg].get_name()
536	try:
537	metadata=self.page_finder[current_pg].get_data()
538	M_name=model.name+"= "+name+"("+metadata.group_id+")"
539	except:
540	M_name=model.name+"= "+name
541	#model.name="M"+str(self.index_model)
542	self.index_model += 1
543	# save model name
544
545	# save the name containing the data name with the appropriate model
546	self.page_finder[current_pg].set_model(model,M_name)
547	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
548	sim_page.add_model(self.page_finder)
549
550	def set_smearer(self,smearer):
551	current_pg=self.fit_panel.get_current_page()
552	self.page_finder[current_pg].set_smearer(smearer)
553
554	def redraw_model(self,qmin= None,qmax= None):
555	"""
556	Draw a theory according to model changes or data range.
557	@param qmin: the minimum value plotted for theory
558	@param qmax: the maximum value plotted for theory
559	"""
560	current_pg=self.fit_panel.get_current_page()
561	for page, value in self.page_finder.iteritems():
562	if page ==current_pg :
563	break
564	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
565
566	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
567	ymin=None,ymax=None, title=None ):
568	"""
569	Plot a theory given a model and data
570	@param model: the model from where the theory is derived
571	@param currpage: page in a dictionary referring to some data
572	"""
573	if self.fit_panel.GetPageCount() >1:
574	for page in self.page_finder.iterkeys():
575	if page==currpage :
576	data=self.page_finder[page].get_data()
577	list=self.page_finder[page].get_model()
578	model=list[0]
579	break
580	print "model in fitting",model
581	if data!=None and data.__class__.__name__ != 'Data2D':
582	theory = Theory1D(x=[], y=[])
583	theory.name = model.name
584	theory.group_id = data.group_id
585	theory.id = "Model"
586	x_name, x_units = data.get_xaxis()
587	y_name, y_units = data.get_yaxis()
588	theory.xaxis(x_name, x_units)
589	theory.yaxis(y_name, y_units)
590	if qmin == None :
591	qmin = min(data.x)
592	if qmax == None :
593	qmax = max(data.x)
594	try:
595	tempx = qmin
596	tempy = model.run(qmin)
597	theory.x.append(tempx)
598	theory.y.append(tempy)
599	except :
600	wx.PostEvent(self.parent, StatusEvent(status="fitting \
601	skipping point x %g %s" %(qmin, sys.exc_value)))
602
603	for i in range(len(data.x)):
604	try:
605	if data.x[i]> qmin and data.x[i]< qmax:
606	tempx = data.x[i]
607	tempy = model.run(tempx)
608	theory.x.append(tempx)
609	theory.y.append(tempy)
610
611	except:
612	wx.PostEvent(self.parent, StatusEvent(status="fitting \
613	skipping point x %g %s" %(data.x[i], sys.exc_value)))
614	try:
615	tempx = qmax
616	tempy = model.run(qmax)
617	theory.x.append(tempx)
618	theory.y.append(tempy)
619	except:
620	wx.PostEvent(self.parent, StatusEvent(status="fitting \
621	skipping point x %g %s" %(qmin, sys.exc_value)) )
622	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
623	title=str(data.name)))
624	else:
625
626	theory=Data2D(data.data, data.err_data)
627	theory.name= model.name
628	if title !=None:
629	self.title = title
630	theory.id= self.title
631	theory.group_id= self.title+data.name
632	else:
633	self.title= "Analytical model 2D "
634	theory.id= "Model"
635	theory.group_id= "Model"+data.name
636	theory.x_bins= data.x_bins
637	theory.y_bins= data.y_bins
638	tempy=[]
639	if qmin==None:
640	qmin=data.xmin
641	if qmax==None:
642	qmax=data.xmax
643	if ymin==None:
644	ymin=data.ymin
645	if ymax==None:
646	ymax=data.ymax
647	xmin=data.xmin
648	xmax=data.xmax
649	#print " q range =",
650	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
651	for i in range(len(data.y_bins)):
652	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
653	for j in range(len(data.x_bins)):
654	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
655	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
656	else:
657	Inf=1e+5000
658	Nan=Inf*0
659	theory.data[j][i]=Nan
660
661	#print "fitting : plot_helper:", theory.image
662	#print data.image
663	#print "fitting : plot_helper:",theory.image
664	theory.detector= data.detector
665	theory.source= data.source
666	theory.zmin= data.zmin
667	theory.zmax= data.zmax
668	theory.xmin= xmin
669	theory.xmax= xmax
670	theory.ymin= ymin
671	theory.ymax= ymax
672
673	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
674	title=self.title +str(data.name)))
675
676
677	def _on_model_menu(self, evt):
678	"""
679	Plot a theory from a model selected from the menu
680	"""
681	name = evt.model.__name__
682	if hasattr(evt.model, "name"):
683	name = evt.model.name
684	print "on model menu", name
685	model=evt.model()
686	description=model.description
687
688	# Create a model page. If a new page is created, the model
689	# will be plotted automatically. If a page already exists,
690	# the content will be updated and the plot refreshed
691	self.fit_panel.add_model_page(model,description,name,topmenu=True)
692
693	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
694	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
695	"""
696	draw model with default data value
697	"""
698	if data !=None:
699	print "qmin qmax",qmin, qmax
700	self.redraw_model(qmin,qmax)
701	return
702	self._draw_model2D(model=model,
703	description=model.description,
704	enable2D= enable2D,
705	qmin=qmin,
706	qmax=qmax,
707	qstep=qstep)
708	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
709
710	def _draw_model1D(self,model,name,description=None, enable1D=True,
711	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
712
713	if enable1D:
714	x= numpy.linspace(start= qmin,
715	stop= qmax,
716	num= qstep,
717	endpoint=True
718	)
719	xlen= len(x)
720	y = numpy.zeros(xlen)
721	if not enable1D:
722	for i in range(xlen):
723	y[i] = model.run(x[i])
724
725	try:
726	new_plot = Theory1D(x, y)
727
728	new_plot.name = name
729	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
730	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
731	new_plot.id = "Model"
732	new_plot.group_id ="Model"
733	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
734	except:
735	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
736	#raise
737	else:
738	for i in range(xlen):
739	y[i] = model.run(x[i])
740	#print x, y
741	try:
742	new_plot = Theory1D(x, y)
743	print "draw model 1D", name
744	new_plot.name = name
745	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
746	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
747	new_plot.id ="Model"
748	new_plot.group_id ="Model"
749
750	# Pass the reset flag to let the plotting event handler
751	# know that we are replacing the whole plot
752	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
753	title="Analytical model 1D ", reset=True ))
754
755	except:
756	#raise
757	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
758	def update(self, output,time):
759	pass
760
761	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
762
763	wx.PostEvent(self.parent, StatusEvent(status="Calc \
764	complete in %g sec" % elapsed))
765	#print "complete",output, model,qmin, qmax
766	data = output
767	theory= Data2D(data)
768	#print data.detector
769	#theory.detector= data.detector
770	from DataLoader.data_info import Detector, Source
771
772	detector = Detector()
773	theory.detector=[]
774	theory.detector.append(detector)
775
776	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
777	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
778	theory.detector[0].beam_center.x= qmax
779	theory.detector[0].beam_center.y= qmax
780	theory.detector[0].distance= 1e+12#13705.0
781	theory.source= Source()
782	theory.source.wavelength= 2*math.pi/1e+12#8.4
783
784	theory.name= model.name
785	theory.group_id ="Model"
786	theory.id ="Model"
787	theory.xmin= -qmax
788	theory.xmax= qmax
789	theory.ymin= -qmax
790	theory.ymax= qmax
791
792	print "model draw comptele xmax",theory.xmax,model.name
793	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
794	title="Analytical model 2D ", reset=True ))
795
796
797
798	def _draw_model2D(self,model,description=None, enable2D=False,
799	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
800
801	x= numpy.linspace(start= -1*qmax,
802	stop= qmax,
803	num= qstep,
804	endpoint=True )
805	y = numpy.linspace(start= -1*qmax,
806	stop= qmax,
807	num= qstep,
808	endpoint=True )
809
810	lx = len(x)
811	#print x
812	data=numpy.zeros([len(x),len(y)])
813	self.model= model
814	if enable2D:
815	from model_thread import Calc2D
816	self.calc_thread = Calc2D(parent =self.parent,x=x,
817	y=y,model= self.model,
818	qmin=qmin,
819	qmax=qmax,
820	qstep=qstep,
821	completefn=self.complete,
822	updatefn=None)
823	self.calc_thread.queue()
824	self.calc_thread.ready(2.5)
825
826	def show_panel2D(self, id=None ):
827	self.parent.show_panel(self.model2D_id)
828
829
830	if __name__ == "__main__":
831	i = Plugin()
832
833
834
835

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 888e62c

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