fitting.py @ 3b909b7

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 3b909b7 was 2268d10, checked in by Gervaise Alina <gervyh@…>, 16 years ago
help dialog window changed to frame
Property mode set to `100644`
File size: 36.3 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 = 0.1
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	from helpPanel import HelpWindow
100	frame = HelpWindow(None, -1, 'HelpWindow')
101	frame.Show(True)
102
103
104
105
106	def get_context_menu(self, graph=None):
107	"""
108	Get the context menu items available for P(r)
109	@param graph: the Graph object to which we attach the context menu
110	@return: a list of menu items with call-back function
111	"""
112	self.graph=graph
113	for item in graph.plottables:
114	if item.__class__.__name__ is "Data2D":
115	return [["Select data for Fitting",\
116	"Dialog with fitting parameters ", self._onSelect]]
117	else:
118	if item.name==graph.selected_plottable and\
119	item.__class__.__name__ is "Data1D":
120	return [["Select data for Fitting", \
121	"Dialog with fitting parameters ", self._onSelect]]
122	return []
123
124
125	def get_panels(self, parent):
126	"""
127	Create and return a list of panel objects
128	"""
129	self.parent = parent
130	# Creation of the fit panel
131	self.fit_panel = FitPanel(self.parent, -1)
132	#Set the manager forthe main panel
133	self.fit_panel.set_manager(self)
134	# List of windows used for the perspective
135	self.perspective = []
136	self.perspective.append(self.fit_panel.window_name)
137	# take care of saving data, model and page associated with each other
138	self.page_finder = {}
139	#index number to create random model name
140	self.index_model = 0
141	self.index_theory= 0
142	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
143
144
145	#create the fitting panel
146	#return [self.fit_panel]
147
148	self.mypanels.append(self.fit_panel)
149	return self.mypanels
150
151
152	def _on_model2D_show(self, event ):
153	print "model2D get the id ", event.id
154
155
156	def _on_slicer_event(self, event):
157	print "fitting:slicer event ", event.panel
158	if event.panel!=None:
159	new_panel = event.panel
160	# Set group ID if available
161	event_id = self.parent.popup_panel(new_panel)
162	self.menu1.Append(event_id, new_panel.window_caption,
163	"Show %s plot panel" % new_panel.window_caption)
164	# Set UID to allow us to reference the panel later
165	new_panel.uid = event_id
166	new_panel
167	self.mypanels.append(new_panel)
168	return
169	def _on_show_panel(self, event):
170	print "_on_show_panel: fitting"
171
172	def get_perspective(self):
173	"""
174	Get the list of panel names for this perspective
175	"""
176	return self.perspective
177
178
179	def on_perspective(self, event):
180	"""
181	Call back function for the perspective menu item.
182	We notify the parent window that the perspective
183	has changed.
184	"""
185	self.parent.set_perspective(self.perspective)
186
187
188	def post_init(self):
189	"""
190	Post initialization call back to close the loose ends
191	[Somehow openGL needs this call]
192	"""
193	self.parent.set_perspective(self.perspective)
194
195
196	def _onSelect(self,event):
197	"""
198	when Select data to fit a new page is created .Its reference is
199	added to self.page_finder
200	"""
201	self.panel = event.GetEventObject()
202	for item in self.panel.graph.plottables:
203	if item.name == self.panel.graph.selected_plottable or\
204	item.__class__.__name__ is "Data2D":
205	#find a name for the page created for notebook
206	try:
207
208	page, model_name = self.fit_panel.add_fit_page(item)
209	# add data associated to the page created
210
211	if page !=None:
212	#create a fitproblem storing all link to data,model,page creation
213	self.page_finder[page]= FitProblem()
214	self.page_finder[page].save_model_name(model_name)
215	self.page_finder[page].add_data(item)
216	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
217	else:
218	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
219	except:
220	#raise
221	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
222	%sys.exc_value))
223	def schedule_for_fit(self,value=0,fitproblem =None):
224	"""
225
226	"""
227	if fitproblem !=None:
228	fitproblem.schedule_tofit(value)
229	else:
230	current_pg=self.fit_panel.get_current_page()
231	for page, val in self.page_finder.iteritems():
232	if page ==current_pg :
233	val.schedule_tofit(value)
234	break
235
236
237	def get_page_finder(self):
238	""" @return self.page_finder used also by simfitpage.py"""
239	return self.page_finder
240
241
242	def set_page_finder(self,modelname,names,values):
243	"""
244	Used by simfitpage.py to reset a parameter given the string constrainst.
245	@param modelname: the name ot the model for with the parameter has to reset
246	@param value: can be a string in this case.
247	@param names: the paramter name
248	@note: expecting park used for fit.
249	"""
250	sim_page=self.fit_panel.get_page(1)
251	for page, value in self.page_finder.iteritems():
252	if page != sim_page:
253	list=value.get_model()
254	model=list[0]
255	#print "fitting",model.name,modelname
256	if model.name== modelname:
257	value.set_model_param(names,values)
258	break
259
260
261
262	def split_string(self,item):
263	"""
264	receive a word containing dot and split it. used to split parameterset
265	name into model name and parameter name example:
266	paramaterset (item) = M1.A
267	@return model_name =M1 , parameter name =A
268	"""
269	if string.find(item,".")!=-1:
270	param_names= re.split("\.",item)
271	model_name=param_names[0]
272	param_name=param_names[1]
273	return model_name,param_name
274
275
276	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
277	ymin=None, ymax=None, xmin=None, xmax=None):
278	"""
279	Display fit result on one page of the notebook.
280	@param result: result of fit
281	@param pars: list of names of parameters fitted
282	@param current_pg: the page where information will be displayed
283	@param qmin: the minimum value of x to replot the model
284	@param qmax: the maximum value of x to replot model
285
286	"""
287	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
288	#self.done = True
289	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
290	try:
291	for page, value in self.page_finder.iteritems():
292	if page==cpage :
293	#fitdata = value.get_data()
294	list = value.get_model()
295	model= list[0]
296	break
297	i = 0
298	#print "fitting: single fit pars ", pars
299	for name in pars:
300	if result.pvec.__class__==numpy.float64:
301	model.setParam(name,result.pvec)
302	else:
303	model.setParam(name,result.pvec[i])
304	# print "fitting: single fit", name, result.pvec[i]
305	i += 1
306	print "fitting result : chisqr",result.fitness
307	print "fitting result : pvec",result.pvec
308	print "fitting result : stderr",result.stderr
309	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
310
311	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
312	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
313	ymin=ymin, ymax=ymax,
314	xmin=xmin, xmax=xmax,title="Fitted model 2D ")
315	except:
316	#raise
317	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
318
319
320	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
321	"""
322	Parameter estimation completed,
323	display the results to the user
324	@param alpha: estimated best alpha
325	@param elapsed: computation time
326	"""
327	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
328	try:
329	for page, value in self.page_finder.iteritems():
330	if value.get_scheduled()==1:
331	#fitdata = value.get_data()
332	list = value.get_model()
333	model= list[0]
334
335	small_out = []
336	small_cov = []
337	i = 0
338	#Separate result in to data corresponding to each page
339	for p in result.parameters:
340	model_name,param_name = self.split_string(p.name)
341	if model.name == model_name:
342	small_out.append(p.value )
343	small_cov.append(p.stderr)
344	model.setParam(param_name,p.value)
345	# Display result on each page
346	page.onsetValues(result.fitness, small_out,small_cov)
347	#Replot model
348	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
349	except:
350	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
351
352
353	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
354	"""
355	perform fit for the current page and return chisqr,out and cov
356	@param engineName: type of fit to be performed
357	@param id: unique id corresponding to a fit problem(model, set of data)
358	@param model: model to fit
359
360	"""
361	#print "in single fitting"
362	#set an engine to perform fit
363	from sans.fit.Fitting import Fit
364	self.fitter= Fit(self._fit_engine)
365	#Setting an id to store model and data in fit engine
366	if id==None:
367	self.id=0
368	else:
369	self.id = id
370	page_fitted=None
371	fit_problem=None
372	#Get information (model , data) related to the page on
373	#with the fit will be perform
374	#current_pg=self.fit_panel.get_current_page()
375	#simul_pg=self.fit_panel.get_page(0)
376
377	for page, value in self.page_finder.iteritems():
378	if value.get_scheduled() ==1 :
379	metadata = value.get_data()
380	list=value.get_model()
381	model=list[0]
382	smearer= value.get_smearer()
383	print "single fit", model, smearer
384	#Create list of parameters for fitting used
385	pars=[]
386	templist=[]
387	try:
388	#templist=current_pg.get_param_list()
389	templist=page.get_param_list()
390	for element in templist:
391	pars.append(str(element[0].GetLabelText()))
392	pars.sort()
393	#print "single fit start pars:", pars
394	#Do the single fit
395	self.fitter.set_model(Model(model), self.id, pars)
396	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
397
398	self.fitter.set_data(data=metadata,Uid=self.id,
399	smearer=smearer,qmin= qmin,qmax=qmax,
400	ymin=ymin,ymax=ymax)
401
402	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
403	page_fitted=page
404	self.id+=1
405	self.schedule_for_fit( 0,value)
406	except:
407	raise
408	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
409	return
410	# make sure to keep an alphabetic order
411	#of parameter names in the list
412	try:
413	# If a thread is already started, stop it
414	if self.calc_thread != None and self.calc_thread.isrunning():
415	self.calc_thread.stop()
416
417	self.calc_thread =FitThread(parent =self.parent,
418	fn= self.fitter,
419	pars= pars,
420	cpage= page_fitted,
421	qmin=qmin,
422	qmax=qmax,
423
424	completefn=self._single_fit_completed,
425	updatefn=None)
426	self.calc_thread.queue()
427	self.calc_thread.ready(2.5)
428	#while not self.done:
429	#print "when here"
430	# time.sleep(1)
431
432
433	except:
434	raise
435	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
436	return
437
438	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
439	"""
440	perform fit for all the pages selected on simpage and return chisqr,out and cov
441	@param engineName: type of fit to be performed
442	@param id: unique id corresponding to a fit problem(model, set of data)
443	in park_integration
444	@param model: model to fit
445
446	"""
447	#set an engine to perform fit
448	from sans.fit.Fitting import Fit
449	self.fitter= Fit(self._fit_engine)
450
451	#Setting an id to store model and data
452	if id==None:
453	id = 0
454	self.id = id
455
456	for page, value in self.page_finder.iteritems():
457	try:
458	if value.get_scheduled()==1:
459	metadata = value.get_data()
460	list = value.get_model()
461	model= list[0]
462	#Create dictionary of parameters for fitting used
463	pars = []
464	templist = []
465	templist = page.get_param_list()
466	for element in templist:
467	try:
468	name = str(element[0].GetLabelText())
469	pars.append(name)
470	except:
471	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
472	return
473	# need to check this print "new model "
474	new_model=Model(model)
475	param=value.get_model_param()
476
477	if len(param)>0:
478	for item in param:
479	param_value = item[1]
480	param_name = item[0]
481	#print "fitting ", param,param_name, param_value
482
483	#new_model.set( model.getParam(param_name[0])= param_value)
484	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
485	#new_model.set( exec "%s"%(param_nam) = param_value)
486	new_model.parameterset[ param_name].set( param_value )
487
488	self.fitter.set_model(new_model, self.id, pars)
489	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
490	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
491	self.id += 1
492	except:
493	#raise
494	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
495	return
496	#Do the simultaneous fit
497	try:
498	# If a thread is already started, stop it
499	if self.calc_thread != None and self.calc_thread.isrunning():
500	self.calc_thread.stop()
501
502	self.calc_thread =FitThread(parent =self.parent,
503	fn= self.fitter,
504	qmin=qmin,
505	qmax=qmax,
506	ymin= ymin,
507	ymax= ymax,
508	completefn= self._simul_fit_completed,
509	updatefn=None)
510	self.calc_thread.queue()
511	self.calc_thread.ready(2.5)
512
513	except:
514	#raise
515	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
516	return
517
518
519	def _onset_engine(self,event):
520	""" set engine to scipy"""
521	if self._fit_engine== 'park':
522	self._on_change_engine('scipy')
523	else:
524	self._on_change_engine('park')
525	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
526
527
528	def _on_change_engine(self, engine='park'):
529	"""
530	Allow to select the type of engine to perform fit
531	@param engine: the key work of the engine
532	"""
533	self._fit_engine = engine
534
535
536	def _on_model_panel(self, evt):
537	"""
538	react to model selection on any combo box or model menu.plot the model
539	"""
540
541	model = evt.model
542	name = evt.name
543
544	print "name fitting", name
545	sim_page=self.fit_panel.GetPage(1)
546	current_pg = self.fit_panel.get_current_page()
547	if current_pg != sim_page:
548	current_pg.set_panel(model)
549	model.name = self.page_finder[current_pg].get_name()
550	try:
551	metadata=self.page_finder[current_pg].get_data()
552	#M_name=model.name+"= "+name+"("+metadata.group_id+")"
553	M_name=model.name+"= "+name+"("+metadata.id+")"
554	except:
555	M_name=model.name+"= "+name+"("+metadata.group_id+")"
556	model.name="M"+str(self.index_model)
557	self.index_model += 1
558	# save model name
559
560	# save the name containing the data name with the appropriate model
561	self.page_finder[current_pg].set_model(model,M_name)
562	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
563	sim_page.add_model(self.page_finder)
564
565	def set_smearer(self,smearer):
566	current_pg=self.fit_panel.get_current_page()
567	self.page_finder[current_pg].set_smearer(smearer)
568
569	def redraw_model(self,qmin= None,qmax= None):
570	"""
571	Draw a theory according to model changes or data range.
572	@param qmin: the minimum value plotted for theory
573	@param qmax: the maximum value plotted for theory
574	"""
575	current_pg=self.fit_panel.get_current_page()
576	for page, value in self.page_finder.iteritems():
577	if page ==current_pg :
578	break
579	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
580
581	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
582	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
583	"""
584	Plot a theory given a model and data
585	@param model: the model from where the theory is derived
586	@param currpage: page in a dictionary referring to some data
587	"""
588	if self.fit_panel.GetPageCount() >1:
589	for page in self.page_finder.iterkeys():
590	if page==currpage :
591	data=self.page_finder[page].get_data()
592	list=self.page_finder[page].get_model()
593	model=list[0]
594	break
595	print "model in fitting",model
596	if data!=None and data.__class__.__name__ != 'Data2D':
597	theory = Theory1D(x=[], y=[])
598	theory.name = model.name
599	theory.group_id = data.group_id
600	if hasattr(data, "id"):
601	import string
602	if string.find("Model",data.id )!=None:
603	#allow plotting on the same panel
604	theory.id =str(data.id )+" "+str(self.index_theory)
605	self.index_theory +=1
606	else:
607	theory.id = "Model"
608
609	x_name, x_units = data.get_xaxis()
610	y_name, y_units = data.get_yaxis()
611	theory.xaxis(x_name, x_units)
612	theory.yaxis(y_name, y_units)
613	if qmin == None :
614	qmin = min(data.x)
615	if qmax == None :
616	qmax = max(data.x)
617	try:
618	tempx = qmin
619	tempy = model.run(qmin)
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
626	for i in range(len(data.x)):
627	try:
628	if data.x[i]> qmin and data.x[i]< qmax:
629	tempx = data.x[i]
630	tempy = model.run(tempx)
631	theory.x.append(tempx)
632	theory.y.append(tempy)
633
634	except:
635	wx.PostEvent(self.parent, StatusEvent(status="fitting \
636	skipping point x %g %s" %(data.x[i], sys.exc_value)))
637	try:
638	tempx = qmax
639	tempy = model.run(qmax)
640	theory.x.append(tempx)
641	theory.y.append(tempy)
642	except:
643	wx.PostEvent(self.parent, StatusEvent(status="fitting \
644	skipping point x %g %s" %(qmin, sys.exc_value)) )
645	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
646	title=str(data.name)))
647	else:
648
649	theory=Data2D(data.data, data.err_data)
650	theory.name= model.name
651	if title !=None:
652	self.title = title
653	theory.id= self.title
654	theory.group_id= self.title+data.name
655	else:
656	self.title= "Analytical model 2D "
657	theory.id= "Model"
658	theory.group_id= "Model"+data.name
659	theory.x_bins= data.x_bins
660	theory.y_bins= data.y_bins
661	tempy=[]
662	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
663	if qmin==None:
664	qmin=0#data.xmin
665	if qmax==None:
666	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
667	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
668	if ymin==None:
669	ymin=data.ymin
670	if ymax==None:
671	ymax=data.ymax
672	if xmin ==None:
673	xmin=data.xmin
674	if xmax==None:
675	xmax=data.xmax
676	#print " q range =",
677	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
678	for j in range(len(data.y_bins)):
679	for i in range(len(data.x_bins)):
680	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
681	#if tempqij>= qmin and tempqij<= qmax:
682	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
683	#else:
684	#theory.data[j][i]=None
685	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j
686	#print "fitting : plot_helper:", theory.image
687	#print "fitting : plot_helper:",theory.image
688	theory.detector= data.detector
689	theory.source= data.source
690
691	theory.qmin= qmin
692	theory.qmax= qmax
693	theory.ymin= ymin
694	theory.ymax= ymax
695	theory.xmin= xmin
696	theory.xmax= xmax
697
698	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
699	title=self.title +str(data.name)))
700
701
702	def _on_model_menu(self, evt):
703	"""
704	Plot a theory from a model selected from the menu
705	"""
706	name = evt.model.__name__
707	if hasattr(evt.model, "name"):
708	name = evt.model.name
709	print "on model menu", name
710	model=evt.model()
711	description=model.description
712
713	# Create a model page. If a new page is created, the model
714	# will be plotted automatically. If a page already exists,
715	# the content will be updated and the plot refreshed
716	self.fit_panel.add_model_page(model,description,name,topmenu=True)
717
718	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
719	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
720	"""
721	draw model with default data value
722	"""
723	if data !=None:
724	self.redraw_model(qmin,qmax)
725	return
726	self._draw_model2D(model=model,
727	description=model.description,
728	enable2D= enable2D,
729	qmin=qmin,
730	qmax=qmax,
731	qstep=qstep)
732	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
733
734	def _draw_model1D(self,model,name,description=None, enable1D=True,
735	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
736
737	if enable1D:
738	x= numpy.linspace(start= qmin,
739	stop= qmax,
740	num= qstep,
741	endpoint=True
742	)
743	xlen= len(x)
744	y = numpy.zeros(xlen)
745	if not enable1D:
746	for i in range(xlen):
747	y[i] = model.run(x[i])
748
749	try:
750	new_plot = Theory1D(x, y)
751
752	new_plot.name = name
753	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
754	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
755	new_plot.id = "Model"
756	new_plot.group_id ="Model"
757	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
758	except:
759	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
760	#raise
761	else:
762	for i in range(xlen):
763	y[i] = model.run(x[i])
764	#print x, y
765	try:
766	new_plot = Theory1D(x, y)
767	print "draw model 1D", name
768	new_plot.name = name
769	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
770	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
771	new_plot.id ="Model"
772	new_plot.group_id ="Model"
773
774	# Pass the reset flag to let the plotting event handler
775	# know that we are replacing the whole plot
776	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
777	title="Analytical model 1D ", reset=True ))
778
779	except:
780	#raise
781	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
782	def update(self, output,time):
783	pass
784
785	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
786
787	wx.PostEvent(self.parent, StatusEvent(status="Calc \
788	complete in %g sec" % elapsed))
789	#print "complete",output, model,qmin, qmax
790	data = output
791	temp= numpy.zeros(numpy.shape(data))
792	temp[temp==0]=1
793	theory= Data2D(image=data, err_image=temp)
794
795	from DataLoader.data_info import Detector, Source
796
797	detector = Detector()
798	theory.detector=[]
799	theory.detector.append(detector)
800
801	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
802	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
803	theory.detector[0].beam_center.x= qmax
804	theory.detector[0].beam_center.y= qmax
805	theory.detector[0].distance= 1e+12#13705.0
806	theory.source= Source()
807	theory.source.wavelength= 2*math.pi/1e+12#8.4
808	theory.x_bins =[]
809	theory.y_bins =[]
810	# compute x_bins and y_bins
811	# Qx and Qy vectors
812
813	distance = theory.detector[0].distance
814	pixel = qstep/2-1
815	theta = pixel / distance / 100.0
816	wavelength = theory.source.wavelength
817	pixel_width_x = theory.detector[0].pixel_size.x
818	pixel_width_y = theory.detector[0].pixel_size.y
819	center_x = theory.detector[0].beam_center.x/pixel_width_x
820	center_y = theory.detector[0].beam_center.y/pixel_width_y
821
822
823	size_x, size_y= numpy.shape(theory.data)
824	#print "size_x,size_y",size_x, size_y
825	for i_x in range(size_x):
826	theta = (i_x-center_x+1)*pixel_width_x / distance / size_x#100.0
827	qx = 4.0math.pi/wavelength math.sin(theta/2.0)
828	theory.x_bins.append(qx)
829	for i_y in range(size_y):
830	theta = (i_y-center_y+1)*pixel_width_y / distance / size_y#100.0
831	qy = 4.0math.pi/wavelength math.sin(theta/2.0)
832	theory.y_bins.append(qy)
833
834	#theory.err_data= numpy.
835	theory.name= model.name
836	theory.group_id ="Model"
837	theory.id ="Model"
838
839
840
841	theory.xmin= -qmax
842	theory.xmax= qmax
843	theory.ymin= -qmax
844	theory.ymax= qmax
845
846	print "model draw comptele xmax",theory.xmax,model.name
847	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
848	title="Analytical model 2D ", reset=True ))
849
850
851
852	def _draw_model2D(self,model,description=None, enable2D=False,
853	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
854
855	x= numpy.linspace(start= -1*qmax,
856	stop= qmax,
857	num= qstep,
858	endpoint=True )
859	y = numpy.linspace(start= -1*qmax,
860	stop= qmax,
861	num= qstep,
862	endpoint=True )
863
864	lx = len(x)
865	#print x
866	data=numpy.zeros([len(x),len(y)])
867	self.model= model
868	if enable2D:
869	from sans.guiframe.model_thread import Calc2D
870	self.calc_thread = Calc2D(parent =self.parent,x=x,
871	y=y,model= self.model,
872	qmin=qmin,
873	qmax=qmax,
874	qstep=qstep,
875	completefn=self.complete,
876	updatefn=None)
877	self.calc_thread.queue()
878	self.calc_thread.ready(2.5)
879
880	def show_panel2D(self, id=None ):
881	self.parent.show_panel(self.model2D_id)
882
883
884	if __name__ == "__main__":
885	i = Plugin()
886
887
888
889

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 3b909b7

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