fitting.py @ 9dd69ec

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 9dd69ec was 9dd69ec, checked in by Gervaise Alina <gervyh@…>, 15 years ago
import staement added
Property mode set to `100644`
File size: 36.2 KB

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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 = 0.1
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
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.index_theory= 0
137	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
138
139
140	#create the fitting panel
141	#return [self.fit_panel]
142
143	self.mypanels.append(self.fit_panel)
144	return self.mypanels
145
146
147	def _on_model2D_show(self, event ):
148	print "model2D get the id ", event.id
149
150
151	def _on_slicer_event(self, event):
152	print "fitting:slicer event ", event.panel
153	if event.panel!=None:
154	new_panel = event.panel
155	# Set group ID if available
156	event_id = self.parent.popup_panel(new_panel)
157	self.menu1.Append(event_id, new_panel.window_caption,
158	"Show %s plot panel" % new_panel.window_caption)
159	# Set UID to allow us to reference the panel later
160	new_panel.uid = event_id
161	new_panel
162	self.mypanels.append(new_panel)
163	return
164	def _on_show_panel(self, event):
165	print "_on_show_panel: fitting"
166
167	def get_perspective(self):
168	"""
169	Get the list of panel names for this perspective
170	"""
171	return self.perspective
172
173
174	def on_perspective(self, event):
175	"""
176	Call back function for the perspective menu item.
177	We notify the parent window that the perspective
178	has changed.
179	"""
180	self.parent.set_perspective(self.perspective)
181
182
183	def post_init(self):
184	"""
185	Post initialization call back to close the loose ends
186	[Somehow openGL needs this call]
187	"""
188	self.parent.set_perspective(self.perspective)
189
190
191	def _onSelect(self,event):
192	"""
193	when Select data to fit a new page is created .Its reference is
194	added to self.page_finder
195	"""
196	self.panel = event.GetEventObject()
197	for item in self.panel.graph.plottables:
198	if item.name == self.panel.graph.selected_plottable or\
199	item.__class__.__name__ is "Data2D":
200	#find a name for the page created for notebook
201	try:
202
203	page, model_name = self.fit_panel.add_fit_page(item)
204	# add data associated to the page created
205
206	if page !=None:
207	#create a fitproblem storing all link to data,model,page creation
208	self.page_finder[page]= FitProblem()
209	self.page_finder[page].save_model_name(model_name)
210	self.page_finder[page].add_data(item)
211	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
212	else:
213	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
214	except:
215	#raise
216	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
217	%sys.exc_value))
218	def schedule_for_fit(self,value=0,fitproblem =None):
219	"""
220
221	"""
222	if fitproblem !=None:
223	fitproblem.schedule_tofit(value)
224	else:
225	current_pg=self.fit_panel.get_current_page()
226	for page, val in self.page_finder.iteritems():
227	if page ==current_pg :
228	val.schedule_tofit(value)
229	break
230
231
232	def get_page_finder(self):
233	""" @return self.page_finder used also by simfitpage.py"""
234	return self.page_finder
235
236
237	def set_page_finder(self,modelname,names,values):
238	"""
239	Used by simfitpage.py to reset a parameter given the string constrainst.
240	@param modelname: the name ot the model for with the parameter has to reset
241	@param value: can be a string in this case.
242	@param names: the paramter name
243	@note: expecting park used for fit.
244	"""
245	sim_page=self.fit_panel.get_page(1)
246	for page, value in self.page_finder.iteritems():
247	if page != sim_page:
248	list=value.get_model()
249	model=list[0]
250	#print "fitting",model.name,modelname
251	if model.name== modelname:
252	value.set_model_param(names,values)
253	break
254
255
256
257	def split_string(self,item):
258	"""
259	receive a word containing dot and split it. used to split parameterset
260	name into model name and parameter name example:
261	paramaterset (item) = M1.A
262	@return model_name =M1 , parameter name =A
263	"""
264	if string.find(item,".")!=-1:
265	param_names= re.split("\.",item)
266	model_name=param_names[0]
267	param_name=param_names[1]
268	return model_name,param_name
269
270
271	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
272	ymin=None, ymax=None, xmin=None, xmax=None):
273	"""
274	Display fit result on one page of the notebook.
275	@param result: result of fit
276	@param pars: list of names of parameters fitted
277	@param current_pg: the page where information will be displayed
278	@param qmin: the minimum value of x to replot the model
279	@param qmax: the maximum value of x to replot model
280
281	"""
282	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
283	#self.done = True
284	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
285	try:
286	for page, value in self.page_finder.iteritems():
287	if page==cpage :
288	#fitdata = value.get_data()
289	list = value.get_model()
290	model= list[0]
291	break
292	i = 0
293	#print "fitting: single fit pars ", pars
294	for name in pars:
295	if result.pvec.__class__==numpy.float64:
296	model.setParam(name,result.pvec)
297	else:
298	model.setParam(name,result.pvec[i])
299	# print "fitting: single fit", name, result.pvec[i]
300	i += 1
301	print "fitting result : chisqr",result.fitness
302	print "fitting result : pvec",result.pvec
303	print "fitting result : stderr",result.stderr
304	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
305
306	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
307	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
308	ymin=ymin, ymax=ymax,
309	xmin=xmin, xmax=xmax,title="Fitted model 2D ")
310	except:
311	#raise
312	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
313
314
315	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
316	"""
317	Parameter estimation completed,
318	display the results to the user
319	@param alpha: estimated best alpha
320	@param elapsed: computation time
321	"""
322	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
323	try:
324	for page, value in self.page_finder.iteritems():
325	if value.get_scheduled()==1:
326	#fitdata = value.get_data()
327	list = value.get_model()
328	model= list[0]
329
330	small_out = []
331	small_cov = []
332	i = 0
333	#Separate result in to data corresponding to each page
334	for p in result.parameters:
335	model_name,param_name = self.split_string(p.name)
336	if model.name == model_name:
337	small_out.append(p.value )
338	small_cov.append(p.stderr)
339	model.setParam(param_name,p.value)
340	# Display result on each page
341	page.onsetValues(result.fitness, small_out,small_cov)
342	#Replot model
343	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
344	except:
345	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
346
347
348	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
349	"""
350	perform fit for the current page and return chisqr,out and cov
351	@param engineName: type of fit to be performed
352	@param id: unique id corresponding to a fit problem(model, set of data)
353	@param model: model to fit
354
355	"""
356	#print "in single fitting"
357	#set an engine to perform fit
358	from sans.fit.Fitting import Fit
359	self.fitter= Fit(self._fit_engine)
360	#Setting an id to store model and data in fit engine
361	if id==None:
362	self.id=0
363	else:
364	self.id = id
365	page_fitted=None
366	fit_problem=None
367	#Get information (model , data) related to the page on
368	#with the fit will be perform
369	#current_pg=self.fit_panel.get_current_page()
370	#simul_pg=self.fit_panel.get_page(0)
371
372	for page, value in self.page_finder.iteritems():
373	if value.get_scheduled() ==1 :
374	metadata = value.get_data()
375	list=value.get_model()
376	model=list[0]
377	smearer= value.get_smearer()
378	print "single fit", model, smearer
379	#Create list of parameters for fitting used
380	pars=[]
381	templist=[]
382	try:
383	#templist=current_pg.get_param_list()
384	templist=page.get_param_list()
385	for element in templist:
386	pars.append(str(element[0].GetLabelText()))
387	pars.sort()
388	#print "single fit start pars:", pars
389	#Do the single fit
390	self.fitter.set_model(Model(model), self.id, pars)
391	#print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax
392
393	self.fitter.set_data(data=metadata,Uid=self.id,
394	smearer=smearer,qmin= qmin,qmax=qmax,
395	ymin=ymin,ymax=ymax)
396
397	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
398	page_fitted=page
399	self.id+=1
400	self.schedule_for_fit( 0,value)
401	except:
402	raise
403	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
404	return
405	# make sure to keep an alphabetic order
406	#of parameter names in the list
407	try:
408	# If a thread is already started, stop it
409	if self.calc_thread != None and self.calc_thread.isrunning():
410	self.calc_thread.stop()
411
412	self.calc_thread =FitThread(parent =self.parent,
413	fn= self.fitter,
414	pars= pars,
415	cpage= page_fitted,
416	qmin=qmin,
417	qmax=qmax,
418
419	completefn=self._single_fit_completed,
420	updatefn=None)
421	self.calc_thread.queue()
422	self.calc_thread.ready(2.5)
423	#while not self.done:
424	#print "when here"
425	# time.sleep(1)
426
427
428	except:
429	raise
430	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
431	return
432
433	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
434	"""
435	perform fit for all the pages selected on simpage and return chisqr,out and cov
436	@param engineName: type of fit to be performed
437	@param id: unique id corresponding to a fit problem(model, set of data)
438	in park_integration
439	@param model: model to fit
440
441	"""
442	#set an engine to perform fit
443	from sans.fit.Fitting import Fit
444	self.fitter= Fit(self._fit_engine)
445
446	#Setting an id to store model and data
447	if id==None:
448	id = 0
449	self.id = id
450
451	for page, value in self.page_finder.iteritems():
452	try:
453	if value.get_scheduled()==1:
454	metadata = value.get_data()
455	list = value.get_model()
456	model= list[0]
457	#Create dictionary of parameters for fitting used
458	pars = []
459	templist = []
460	templist = page.get_param_list()
461	for element in templist:
462	try:
463	name = str(element[0].GetLabelText())
464	pars.append(name)
465	except:
466	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
467	return
468	# need to check this print "new model "
469	new_model=Model(model)
470	param=value.get_model_param()
471
472	if len(param)>0:
473	for item in param:
474	param_value = item[1]
475	param_name = item[0]
476	#print "fitting ", param,param_name, param_value
477
478	#new_model.set( model.getParam(param_name[0])= param_value)
479	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
480	#new_model.set( exec "%s"%(param_nam) = param_value)
481	new_model.parameterset[ param_name].set( param_value )
482
483	self.fitter.set_model(new_model, self.id, pars)
484	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
485	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
486	self.id += 1
487	except:
488	#raise
489	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
490	return
491	#Do the simultaneous fit
492	try:
493	# If a thread is already started, stop it
494	if self.calc_thread != None and self.calc_thread.isrunning():
495	self.calc_thread.stop()
496
497	self.calc_thread =FitThread(parent =self.parent,
498	fn= self.fitter,
499	qmin=qmin,
500	qmax=qmax,
501	ymin= ymin,
502	ymax= ymax,
503	completefn= self._simul_fit_completed,
504	updatefn=None)
505	self.calc_thread.queue()
506	self.calc_thread.ready(2.5)
507
508	except:
509	#raise
510	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
511	return
512
513
514	def _onset_engine(self,event):
515	""" set engine to scipy"""
516	if self._fit_engine== 'park':
517	self._on_change_engine('scipy')
518	else:
519	self._on_change_engine('park')
520	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
521
522
523	def _on_change_engine(self, engine='park'):
524	"""
525	Allow to select the type of engine to perform fit
526	@param engine: the key work of the engine
527	"""
528	self._fit_engine = engine
529
530
531	def _on_model_panel(self, evt):
532	"""
533	react to model selection on any combo box or model menu.plot the model
534	"""
535
536	model = evt.model
537	name = evt.name
538
539	print "name fitting", name
540	sim_page=self.fit_panel.GetPage(1)
541	current_pg = self.fit_panel.get_current_page()
542	if current_pg != sim_page:
543	current_pg.set_panel(model)
544	model.name = self.page_finder[current_pg].get_name()
545	try:
546	metadata=self.page_finder[current_pg].get_data()
547	#M_name=model.name+"= "+name+"("+metadata.group_id+")"
548	M_name=model.name+"= "+name+"("+metadata.id+")"
549	except:
550	M_name=model.name+"= "+name+"("+metadata.group_id+")"
551	model.name="M"+str(self.index_model)
552	self.index_model += 1
553	# save model name
554
555	# save the name containing the data name with the appropriate model
556	self.page_finder[current_pg].set_model(model,M_name)
557	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
558	sim_page.add_model(self.page_finder)
559
560	def set_smearer(self,smearer):
561	current_pg=self.fit_panel.get_current_page()
562	self.page_finder[current_pg].set_smearer(smearer)
563
564	def redraw_model(self,qmin= None,qmax= None):
565	"""
566	Draw a theory according to model changes or data range.
567	@param qmin: the minimum value plotted for theory
568	@param qmax: the maximum value plotted for theory
569	"""
570	current_pg=self.fit_panel.get_current_page()
571	for page, value in self.page_finder.iteritems():
572	if page ==current_pg :
573	break
574	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
575
576	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
577	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
578	"""
579	Plot a theory given a model and data
580	@param model: the model from where the theory is derived
581	@param currpage: page in a dictionary referring to some data
582	"""
583	if self.fit_panel.GetPageCount() >1:
584	for page in self.page_finder.iterkeys():
585	if page==currpage :
586	data=self.page_finder[page].get_data()
587	list=self.page_finder[page].get_model()
588	model=list[0]
589	break
590	print "model in fitting",model
591	if data!=None and data.__class__.__name__ != 'Data2D':
592	theory = Theory1D(x=[], y=[])
593	theory.name = model.name
594	theory.group_id = data.group_id
595	if hasattr(data, "id"):
596	import string
597	if string.find("Model",data.id )!=None:
598	#allow plotting on the same panel
599	theory.id =str(data.id )+" "+str(self.index_theory)
600	self.index_theory +=1
601	else:
602	theory.id = "Model"
603
604	x_name, x_units = data.get_xaxis()
605	y_name, y_units = data.get_yaxis()
606	theory.xaxis(x_name, x_units)
607	theory.yaxis(y_name, y_units)
608	if qmin == None :
609	qmin = min(data.x)
610	if qmax == None :
611	qmax = max(data.x)
612	try:
613	tempx = qmin
614	tempy = model.run(qmin)
615	theory.x.append(tempx)
616	theory.y.append(tempy)
617	except :
618	wx.PostEvent(self.parent, StatusEvent(status="fitting \
619	skipping point x %g %s" %(qmin, sys.exc_value)))
620
621	for i in range(len(data.x)):
622	try:
623	if data.x[i]> qmin and data.x[i]< qmax:
624	tempx = data.x[i]
625	tempy = model.run(tempx)
626	theory.x.append(tempx)
627	theory.y.append(tempy)
628
629	except:
630	wx.PostEvent(self.parent, StatusEvent(status="fitting \
631	skipping point x %g %s" %(data.x[i], sys.exc_value)))
632	try:
633	tempx = qmax
634	tempy = model.run(qmax)
635	theory.x.append(tempx)
636	theory.y.append(tempy)
637	except:
638	wx.PostEvent(self.parent, StatusEvent(status="fitting \
639	skipping point x %g %s" %(qmin, sys.exc_value)) )
640	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
641	title=str(data.name)))
642	else:
643
644	theory=Data2D(data.data, data.err_data)
645	theory.name= model.name
646	if title !=None:
647	self.title = title
648	theory.id= self.title
649	theory.group_id= self.title+data.name
650	else:
651	self.title= "Analytical model 2D "
652	theory.id= "Model"
653	theory.group_id= "Model"+data.name
654	theory.x_bins= data.x_bins
655	theory.y_bins= data.y_bins
656	tempy=[]
657	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
658	if qmin==None:
659	qmin=0#data.xmin
660	if qmax==None:
661	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
662	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
663	if ymin==None:
664	ymin=data.ymin
665	if ymax==None:
666	ymax=data.ymax
667	if xmin ==None:
668	xmin=data.xmin
669	if xmax==None:
670	xmax=data.xmax
671	#print " q range =",
672	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
673	for j in range(len(data.y_bins)):
674	for i in range(len(data.x_bins)):
675	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
676	#if tempqij>= qmin and tempqij<= qmax:
677	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
678	#else:
679	#theory.data[j][i]=None
680	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j
681	#print "fitting : plot_helper:", theory.image
682	#print "fitting : plot_helper:",theory.image
683	theory.detector= data.detector
684	theory.source= data.source
685
686	theory.qmin= qmin
687	theory.qmax= qmax
688	theory.ymin= ymin
689	theory.ymax= ymax
690	theory.xmin= xmin
691	theory.xmax= xmax
692
693	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
694	title=self.title +str(data.name)))
695
696
697	def _on_model_menu(self, evt):
698	"""
699	Plot a theory from a model selected from the menu
700	"""
701	name = evt.model.__name__
702	if hasattr(evt.model, "name"):
703	name = evt.model.name
704	print "on model menu", name
705	model=evt.model()
706	description=model.description
707
708	# Create a model page. If a new page is created, the model
709	# will be plotted automatically. If a page already exists,
710	# the content will be updated and the plot refreshed
711	self.fit_panel.add_model_page(model,description,name,topmenu=True)
712
713	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
714	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
715	"""
716	draw model with default data value
717	"""
718	if data !=None:
719	self.redraw_model(qmin,qmax)
720	return
721	self._draw_model2D(model=model,
722	description=model.description,
723	enable2D= enable2D,
724	qmin=qmin,
725	qmax=qmax,
726	qstep=qstep)
727	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
728
729	def _draw_model1D(self,model,name,description=None, enable1D=True,
730	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
731
732	if enable1D:
733	x= numpy.linspace(start= qmin,
734	stop= qmax,
735	num= qstep,
736	endpoint=True
737	)
738	xlen= len(x)
739	y = numpy.zeros(xlen)
740	if not enable1D:
741	for i in range(xlen):
742	y[i] = model.run(x[i])
743
744	try:
745	new_plot = Theory1D(x, y)
746
747	new_plot.name = name
748	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
749	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
750	new_plot.id = "Model"
751	new_plot.group_id ="Model"
752	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
753	except:
754	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
755	#raise
756	else:
757	for i in range(xlen):
758	y[i] = model.run(x[i])
759	#print x, y
760	try:
761	new_plot = Theory1D(x, y)
762	print "draw model 1D", name
763	new_plot.name = name
764	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
765	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
766	new_plot.id ="Model"
767	new_plot.group_id ="Model"
768
769	# Pass the reset flag to let the plotting event handler
770	# know that we are replacing the whole plot
771	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
772	title="Analytical model 1D ", reset=True ))
773
774	except:
775	#raise
776	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
777	def update(self, output,time):
778	pass
779
780	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
781
782	wx.PostEvent(self.parent, StatusEvent(status="Calc \
783	complete in %g sec" % elapsed))
784	#print "complete",output, model,qmin, qmax
785	data = output
786	temp= numpy.zeros(numpy.shape(data))
787	temp[temp==0]=1
788	theory= Data2D(image=data, err_image=temp)
789
790	from DataLoader.data_info import Detector, Source
791
792	detector = Detector()
793	theory.detector=[]
794	theory.detector.append(detector)
795
796	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
797	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
798	theory.detector[0].beam_center.x= qmax
799	theory.detector[0].beam_center.y= qmax
800	theory.detector[0].distance= 1e+12#13705.0
801	theory.source= Source()
802	theory.source.wavelength= 2*math.pi/1e+12#8.4
803	theory.x_bins =[]
804	theory.y_bins =[]
805	# compute x_bins and y_bins
806	# Qx and Qy vectors
807
808	distance = theory.detector[0].distance
809	pixel = qstep/2-1
810	theta = pixel / distance / 100.0
811	wavelength = theory.source.wavelength
812	pixel_width_x = theory.detector[0].pixel_size.x
813	pixel_width_y = theory.detector[0].pixel_size.y
814	center_x = theory.detector[0].beam_center.x/pixel_width_x
815	center_y = theory.detector[0].beam_center.y/pixel_width_y
816
817
818	size_x, size_y= numpy.shape(theory.data)
819	#print "size_x,size_y",size_x, size_y
820	for i_x in range(size_x):
821	theta = (i_x-center_x+1)*pixel_width_x / distance / size_x#100.0
822	qx = 4.0math.pi/wavelength math.sin(theta/2.0)
823	theory.x_bins.append(qx)
824	for i_y in range(size_y):
825	theta = (i_y-center_y+1)*pixel_width_y / distance / size_y#100.0
826	qy = 4.0math.pi/wavelength math.sin(theta/2.0)
827	theory.y_bins.append(qy)
828
829	#theory.err_data= numpy.
830	theory.name= model.name
831	theory.group_id ="Model"
832	theory.id ="Model"
833
834
835
836	theory.xmin= -qmax
837	theory.xmax= qmax
838	theory.ymin= -qmax
839	theory.ymax= qmax
840
841	print "model draw comptele xmax",theory.xmax,model.name
842	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
843	title="Analytical model 2D ", reset=True ))
844
845
846
847	def _draw_model2D(self,model,description=None, enable2D=False,
848	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
849
850	x= numpy.linspace(start= -1*qmax,
851	stop= qmax,
852	num= qstep,
853	endpoint=True )
854	y = numpy.linspace(start= -1*qmax,
855	stop= qmax,
856	num= qstep,
857	endpoint=True )
858
859	lx = len(x)
860	#print x
861	data=numpy.zeros([len(x),len(y)])
862	self.model= model
863	if enable2D:
864	from sans.guiframe.model_thread import Calc2D
865	self.calc_thread = Calc2D(parent =self.parent,x=x,
866	y=y,model= self.model,
867	qmin=qmin,
868	qmax=qmax,
869	qstep=qstep,
870	completefn=self.complete,
871	updatefn=None)
872	self.calc_thread.queue()
873	self.calc_thread.ready(2.5)
874
875	def show_panel2D(self, id=None ):
876	self.parent.show_panel(self.model2D_id)
877
878
879	if __name__ == "__main__":
880	i = Plugin()
881
882
883
884

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 9dd69ec

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