fitting.py @ 568e1a5

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 568e1a5 was 568e1a5, checked in by Gervaise Alina <gervyh@…>, 16 years ago
working on event slicer panel
Property mode set to `100644`
File size: 31.5 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_PARS
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	import time
20	import thread
21	print "main",thread.get_ident()
22
23	class Plugin:
24	"""
25	Fitting plugin is used to perform fit
26	"""
27	def __init__(self):
28	## Plug-in name
29	self.sub_menu = "Fitting"
30
31	## Reference to the parent window
32	self.parent = None
33	self.menu_mng = models.ModelManager()
34	## List of panels for the simulation perspective (names)
35	self.perspective = []
36	self.mypanels=[]
37	self.calc_thread = None
38	self.done = False
39	# Start with a good default
40	self.elapsed = 0.022
41	self.fitter = None
42
43	#Flag to let the plug-in know that it is running standalone
44	self.standalone=True
45	## Fit engine
46	self._fit_engine = 'scipy'
47	self.enable_model2D=False
48	# Log startup
49	logging.info("Fitting plug-in started")
50
51	def populate_menu(self, id, owner):
52	"""
53	Create a menu for the Fitting plug-in
54	@param id: id to create a menu
55	@param owner: owner of menu
56	@ return : list of information to populate the main menu
57	"""
58	#Menu for fitting
59	self.menu1 = wx.Menu()
60	id1 = wx.NewId()
61	self.menu1.Append(id1, '&Show fit panel')
62	wx.EVT_MENU(owner, id1, self.on_perspective)
63	id3 = wx.NewId()
64	self.menu1.AppendCheckItem(id3, "park")
65	wx.EVT_MENU(owner, id3, self._onset_engine)
66
67	#menu for model
68	menu2 = wx.Menu()
69
70	self.menu_mng.populate_menu(menu2, owner)
71	id2 = wx.NewId()
72	owner.Bind(models.EVT_MODEL,self._on_model_menu)
73	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
74	self.fit_panel.set_owner(owner)
75	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
76	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
77	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
78	#create menubar items
79	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
80
81
82	def help(self, evt):
83	"""
84	Show a general help dialog.
85	TODO: replace the text with a nice image
86	"""
87	from helpDialog import HelpWindow
88	dialog = HelpWindow(None, -1, 'HelpWindow')
89	if dialog.ShowModal() == wx.ID_OK:
90	pass
91	dialog.Destroy()
92
93
94	def get_context_menu(self, graph=None):
95	"""
96	Get the context menu items available for P(r)
97	@param graph: the Graph object to which we attach the context menu
98	@return: a list of menu items with call-back function
99	"""
100	self.graph=graph
101	for item in graph.plottables:
102	if item.__class__.__name__ is "Data2D":
103	return [["Select data for Fitting",\
104	"Dialog with fitting parameters ", self._onSelect]]
105	else:
106	if item.name==graph.selected_plottable and\
107	item.__class__.__name__ is "Data1D":
108	return [["Select data for Fitting", \
109	"Dialog with fitting parameters ", self._onSelect]]
110	return []
111
112
113	def get_panels(self, parent):
114	"""
115	Create and return a list of panel objects
116	"""
117	self.parent = parent
118	# Creation of the fit panel
119	self.fit_panel = FitPanel(self.parent, -1)
120	#Set the manager forthe main panel
121	self.fit_panel.set_manager(self)
122	# List of windows used for the perspective
123	self.perspective = []
124	self.perspective.append(self.fit_panel.window_name)
125	# take care of saving data, model and page associated with each other
126	self.page_finder = {}
127	#index number to create random model name
128	self.index_model = 0
129	self.parent.Bind(EVT_SLICER_PARS, self._on_slicer_event)
130	#create the fitting panel
131	#return [self.fit_panel]
132	self.mypanels.append(self.fit_panel)
133	return self.mypanels
134	def _on_slicer_event(self, event):
135	print "slicer event ", event.panel
136	new_panel = event.panel
137	# Set group ID if available
138	event_id = self.parent.popup_panel(new_panel)
139	#self.menu.Append(event_id, new_panel.window_caption,
140	# "Show %s plot panel" % new_panel.window_caption)
141	# Set UID to allow us to reference the panel later
142	new_panel.uid = event_id
143
144	self.mypanels.append(new_panel)
145	return
146	def _on_show_panel(self, event):
147	print "_on_show_panel: fitting"
148
149	def get_perspective(self):
150	"""
151	Get the list of panel names for this perspective
152	"""
153	return self.perspective
154
155
156	def on_perspective(self, event):
157	"""
158	Call back function for the perspective menu item.
159	We notify the parent window that the perspective
160	has changed.
161	"""
162	self.parent.set_perspective(self.perspective)
163
164
165	def post_init(self):
166	"""
167	Post initialization call back to close the loose ends
168	[Somehow openGL needs this call]
169	"""
170	self.parent.set_perspective(self.perspective)
171
172
173	def _onSelect(self,event):
174	"""
175	when Select data to fit a new page is created .Its reference is
176	added to self.page_finder
177	"""
178	self.panel = event.GetEventObject()
179	for item in self.panel.graph.plottables:
180	if item.name == self.panel.graph.selected_plottable or\
181	item.__class__.__name__ is "Data2D":
182	#find a name for the page created for notebook
183	try:
184	page, model_name = self.fit_panel.add_fit_page(item)
185	# add data associated to the page created
186
187	if page !=None:
188
189	#create a fitproblem storing all link to data,model,page creation
190	self.page_finder[page]= FitProblem()
191	self.page_finder[page].save_model_name(model_name)
192	self.page_finder[page].add_data(item)
193	except:
194	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
195	%sys.exc_value))
196	def schedule_for_fit(self,value=0,fitproblem =None):
197	"""
198
199	"""
200	if fitproblem !=None:
201	fitproblem.schedule_tofit(value)
202	else:
203	current_pg=self.fit_panel.get_current_page()
204	for page, val in self.page_finder.iteritems():
205	if page ==current_pg :
206	val.schedule_tofit(value)
207	break
208
209
210	def get_page_finder(self):
211	""" @return self.page_finder used also by simfitpage.py"""
212	return self.page_finder
213
214
215	def set_page_finder(self,modelname,names,values):
216	"""
217	Used by simfitpage.py to reset a parameter given the string constrainst.
218	@param modelname: the name ot the model for with the parameter has to reset
219	@param value: can be a string in this case.
220	@param names: the paramter name
221	@note: expecting park used for fit.
222	"""
223	sim_page=self.fit_panel.get_page(0)
224	for page, value in self.page_finder.iteritems():
225	if page != sim_page:
226	list=value.get_model()
227	model=list[0]
228	#print "fitting",model.name,modelname
229	if model.name== modelname:
230	value.set_model_param(names,values)
231	break
232
233
234
235	def split_string(self,item):
236	"""
237	receive a word containing dot and split it. used to split parameterset
238	name into model name and parameter name example:
239	paramaterset (item) = M1.A
240	@return model_name =M1 , parameter name =A
241	"""
242	if string.find(item,".")!=-1:
243	param_names= re.split("\.",item)
244	model_name=param_names[0]
245	param_name=param_names[1]
246	return model_name,param_name
247
248
249	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
250	"""
251	Display fit result on one page of the notebook.
252	@param result: result of fit
253	@param pars: list of names of parameters fitted
254	@param current_pg: the page where information will be displayed
255	@param qmin: the minimum value of x to replot the model
256	@param qmax: the maximum value of x to replot model
257
258	"""
259	#self.done = True
260	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
261	try:
262	for page, value in self.page_finder.iteritems():
263	if page==cpage :
264	#fitdata = value.get_data()
265	list = value.get_model()
266	model= list[0]
267	break
268	i = 0
269	# print "fitting: single fit pars ", pars
270	for name in pars:
271	if result.pvec.__class__==numpy.float64:
272	model.setParam(name,result.pvec)
273	else:
274	model.setParam(name,result.pvec[i])
275	# print "fitting: single fit", name, result.pvec[i]
276	i += 1
277	# print "fitting result : chisqr",result.fitness
278	# print "fitting result : pvec",result.pvec
279	# print "fitting result : stderr",result.stderr
280
281	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
282	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
283	except:
284	raise
285	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
286
287
288	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
289	"""
290	Parameter estimation completed,
291	display the results to the user
292	@param alpha: estimated best alpha
293	@param elapsed: computation time
294	"""
295	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
296	try:
297	for page, value in self.page_finder.iteritems():
298	if value.get_scheduled()==1:
299	#fitdata = value.get_data()
300	list = value.get_model()
301	model= list[0]
302
303	small_out = []
304	small_cov = []
305	i = 0
306	#Separate result in to data corresponding to each page
307	for p in result.parameters:
308	model_name,param_name = self.split_string(p.name)
309	if model.name == model_name:
310	small_out.append(p.value )
311	small_cov.append(p.stderr)
312	model.setParam(param_name,p.value)
313	# Display result on each page
314	page.onsetValues(result.fitness, small_out,small_cov)
315	#Replot model
316	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
317	except:
318	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
319
320
321	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
322	"""
323	perform fit for the current page and return chisqr,out and cov
324	@param engineName: type of fit to be performed
325	@param id: unique id corresponding to a fit problem(model, set of data)
326	@param model: model to fit
327
328	"""
329	#print "in single fitting"
330	#set an engine to perform fit
331	from sans.fit.Fitting import Fit
332	self.fitter= Fit(self._fit_engine)
333	#Setting an id to store model and data in fit engine
334	if id==None:
335	id=0
336	self.id = id
337	page_fitted=None
338	fit_problem=None
339	#Get information (model , data) related to the page on
340	#with the fit will be perform
341	#current_pg=self.fit_panel.get_current_page()
342	#simul_pg=self.fit_panel.get_page(0)
343
344	for page, value in self.page_finder.iteritems():
345	if value.get_scheduled() ==1 :
346	metadata = value.get_data()
347	list=value.get_model()
348	model=list[0]
349	smearer= value.get_smearer()
350	#Create list of parameters for fitting used
351	pars=[]
352	templist=[]
353	try:
354	#templist=current_pg.get_param_list()
355	templist=page.get_param_list()
356	for element in templist:
357	pars.append(str(element[0].GetLabelText()))
358	pars.sort()
359	#Do the single fit
360	self.fitter.set_model(Model(model), self.id, pars)
361
362	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
363	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
364	page_fitted=page
365	self.id+=1
366	self.schedule_for_fit( 0,value)
367	except:
368	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
369	return
370	# make sure to keep an alphabetic order
371	#of parameter names in the list
372	try:
373	# If a thread is already started, stop it
374	if self.calc_thread != None and self.calc_thread.isrunning():
375	self.calc_thread.stop()
376
377	self.calc_thread =FitThread(parent =self.parent,
378	fn= self.fitter,
379	pars= pars,
380	cpage= page_fitted,
381	qmin=qmin,
382	qmax=qmax,
383	ymin= ymin,
384	ymax= ymax,
385	completefn=self._single_fit_completed,
386	updatefn=None)
387	self.calc_thread.queue()
388	self.calc_thread.ready(2.5)
389	#while not self.done:
390	#print "when here"
391	# time.sleep(1)
392
393
394	except:
395	raise
396	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
397	return
398
399	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
400	"""
401	perform fit for all the pages selected on simpage and return chisqr,out and cov
402	@param engineName: type of fit to be performed
403	@param id: unique id corresponding to a fit problem(model, set of data)
404	in park_integration
405	@param model: model to fit
406
407	"""
408	#set an engine to perform fit
409	from sans.fit.Fitting import Fit
410	self.fitter= Fit(self._fit_engine)
411
412	#Setting an id to store model and data
413	if id==None:
414	id = 0
415	self.id = id
416
417	for page, value in self.page_finder.iteritems():
418	try:
419	if value.get_scheduled()==1:
420	metadata = value.get_data()
421	list = value.get_model()
422	model= list[0]
423	#Create dictionary of parameters for fitting used
424	pars = []
425	templist = []
426	templist = page.get_param_list()
427	for element in templist:
428	try:
429	name = str(element[0].GetLabelText())
430	pars.append(name)
431	except:
432	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
433	return
434	new_model=Model(model)
435	param=value.get_model_param()
436
437	if len(param)>0:
438	for item in param:
439	param_value = item[1]
440	param_name = item[0]
441	#print "fitting ", param,param_name, param_value
442
443	#new_model.set( model.getParam(param_name[0])= param_value)
444	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
445	#new_model.set( exec "%s"%(param_nam) = param_value)
446	new_model.parameterset[ param_name].set( param_value )
447
448	self.fitter.set_model(new_model, self.id, pars)
449	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
450	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
451	self.id += 1
452	except:
453	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
454	return
455	#Do the simultaneous fit
456	try:
457	# If a thread is already started, stop it
458	if self.calc_thread != None and self.calc_thread.isrunning():
459	self.calc_thread.stop()
460
461	self.calc_thread =FitThread(parent =self.parent,
462	fn= self.fitter,
463	qmin=qmin,
464	qmax=qmax,
465	ymin= ymin,
466	ymax= ymax,
467	completefn= self._simul_fit_completed,
468	updatefn=None)
469	self.calc_thread.queue()
470	self.calc_thread.ready(2.5)
471
472	except:
473	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
474	return
475
476
477	def _onset_engine(self,event):
478	""" set engine to scipy"""
479	if self._fit_engine== 'park':
480	self._on_change_engine('scipy')
481	else:
482	self._on_change_engine('park')
483	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
484
485
486	def _on_change_engine(self, engine='park'):
487	"""
488	Allow to select the type of engine to perform fit
489	@param engine: the key work of the engine
490	"""
491	self._fit_engine = engine
492
493
494	def _on_model_panel(self, evt):
495	"""
496	react to model selection on any combo box or model menu.plot the model
497	"""
498
499	model = evt.model
500	name = evt.name
501	sim_page=self.fit_panel.get_page(0)
502	current_pg = self.fit_panel.get_current_page()
503	selected_page = self.fit_panel.get_selected_page()
504	if current_pg != sim_page:
505	current_pg.set_panel(model)
506	model.name = self.page_finder[current_pg].get_name()
507	try:
508	metadata=self.page_finder[current_pg].get_data()
509	M_name=model.name+"= "+name+"("+metadata.group_id+")"
510	except:
511	M_name=model.name+"= "+name
512	#model.name="M"+str(self.index_model)
513	self.index_model += 1
514	# save model name
515
516	# save the name containing the data name with the appropriate model
517	self.page_finder[current_pg].set_model(model,M_name)
518	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
519	sim_page.add_model(self.page_finder)
520
521	def set_smearer(self,smearer):
522	current_pg=self.fit_panel.get_current_page()
523	self.page_finder[current_pg].set_smearer(smearer)
524
525	def redraw_model(self,qmin= None,qmax= None):
526	"""
527	Draw a theory according to model changes or data range.
528	@param qmin: the minimum value plotted for theory
529	@param qmax: the maximum value plotted for theory
530	"""
531	current_pg=self.fit_panel.get_current_page()
532	for page, value in self.page_finder.iteritems():
533	if page ==current_pg :
534	break
535	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
536
537	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,ymin=None,ymax=None):
538	"""
539	Plot a theory given a model and data
540	@param model: the model from where the theory is derived
541	@param currpage: page in a dictionary referring to some data
542	"""
543	if self.fit_panel.get_page_count() >1:
544	for page in self.page_finder.iterkeys():
545	if page==currpage :
546	data=self.page_finder[page].get_data()
547	list=self.page_finder[page].get_model()
548	model=list[0]
549	break
550
551	if data!=None and data.__class__.__name__ != 'Data2D':
552	theory = Theory1D(x=[], y=[])
553	theory.name = model.name
554	theory.group_id = data.group_id
555	theory.id = "Model"
556	x_name, x_units = data.get_xaxis()
557	y_name, y_units = data.get_yaxis()
558	theory.xaxis(x_name, x_units)
559	theory.yaxis(y_name, y_units)
560	if qmin == None :
561	qmin = min(data.x)
562	if qmax == None :
563	qmax = max(data.x)
564	try:
565	tempx = qmin
566	tempy = model.run(qmin)
567	theory.x.append(tempx)
568	theory.y.append(tempy)
569	except :
570	wx.PostEvent(self.parent, StatusEvent(status="fitting \
571	skipping point x %g %s" %(qmin, sys.exc_value)))
572
573	for i in range(len(data.x)):
574	try:
575	if data.x[i]> qmin and data.x[i]< qmax:
576	tempx = data.x[i]
577	tempy = model.run(tempx)
578	theory.x.append(tempx)
579	theory.y.append(tempy)
580
581	except:
582	wx.PostEvent(self.parent, StatusEvent(status="fitting \
583	skipping point x %g %s" %(data.x[i], sys.exc_value)))
584	try:
585	tempx = qmax
586	tempy = model.run(qmax)
587	theory.x.append(tempx)
588	theory.y.append(tempy)
589	except:
590	wx.PostEvent(self.parent, StatusEvent(status="fitting \
591	skipping point x %g %s" %(qmax, sys.exc_value)))
592
593	else:
594	theory=Data2D(data.data, data.err_data)
595	theory.name= model.name
596	theory.id= "Model"
597	theory.group_id= "Model"+data.name
598	theory.x_bins= data.x_bins
599	theory.y_bins= data.y_bins
600	tempy=[]
601	if qmin==None:
602	qmin=data.xmin
603	if qmax==None:
604	qmax=data.xmax
605	if ymin==None:
606	ymin=data.ymin
607	if ymax==None:
608	ymax=data.ymax
609
610	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
611	for i in range(len(data.y_bins)):
612	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
613	for j in range(len(data.x_bins)):
614	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
615	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
616
617	#print "fitting : plot_helper:", theory.image
618	#print data.image
619	#print "fitting : plot_helper:",theory.image
620	theory.detector= data.detector
621	theory.source= data.source
622	theory.zmin= data.zmin
623	theory.zmax= data.zmax
624	theory.xmin= qmin
625	theory.xmax= qmax
626	theory.ymin= ymin
627	theory.ymax= ymax
628
629	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
630	title="Analytical model %s"%str(data.name)))
631
632
633	def _on_model_menu(self, evt):
634	"""
635	Plot a theory from a model selected from the menu
636	"""
637	name = evt.model.__name__
638	if hasattr(evt.model, "name"):
639	name = evt.model.name
640	model=evt.model()
641	#name="Model View"
642	#print "mon menu",model.name
643	description=model.description
644	#self.fit_panel.add_model_page(model,description,name)
645
646	self.draw_model(model=model,name=name)
647
648	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
649	"""
650	draw model with default data value
651	"""
652
653	self.fit_panel.add_model_page(model=model,description=model.description,page_title=name)
654	self._draw_model2D(model=model,
655	description=model.description,
656	enable2D= enable2D,
657	qmin=qmin,
658	qmax=qmax,
659	qstep=None)
660	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
661
662	def _draw_model1D(self,model,name,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
663
664	if enable1D:
665	if qmin==None:
666	qmin= 0.001
667	if qmax==None:
668	qmax= 1.0
669	if qstep ==None:
670	qstep =100
671
672	#print "x in data1D",qmin,qmax
673	#x = numpy.arange(qmin, qmax, qstep)
674	x= numpy.linspace(start= qmin,
675	stop= qmax,
676	num= qstep,
677	endpoint=True
678	)
679	xlen= len(x)
680	y = numpy.zeros(xlen)
681	if not enable1D:
682	for i in range(xlen):
683	y[i] = model.run(x[i])
684
685	try:
686	new_plot = Theory1D(x, y)
687	new_plot.name = name
688	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
689	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
690	new_plot.id = "Model"
691	new_plot.group_id ="Model"
692	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
693
694	except:
695	raise
696	else:
697	for i in range(xlen):
698	y[i] = model.run(x[i])
699	#print x, y
700	try:
701	new_plot = Theory1D(x, y)
702	new_plot.name = name
703	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
704	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
705	new_plot.id ="Model"
706	new_plot.group_id ="Model"
707	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
708	title="Analytical model 1D " ))
709
710	except:
711	raise
712	def update(self, output,time):
713	pass
714
715	def complete(self, output, elapsed, model, qmin, qmax):
716
717	wx.PostEvent(self.parent, StatusEvent(status="Calc \
718	complete in %g sec" % elapsed))
719	#print "complete",output, model,qmin, qmax
720	data = output
721	theory= Data2D(data)
722	#print data.detector
723	#theory.detector= data.detector
724	from DataLoader.data_info import Detector, Source
725
726	detector = Detector()
727	theory.detector=[]
728	theory.detector.append(detector)
729
730	theory.detector[0].pixel_size.x= 5.0
731	theory.detector[0].pixel_size.y= 5.0
732	theory.source= Source()
733	theory.source.wavelength= 8.4
734	theory.detector[0].beam_center.x= 0
735	theory.detector[0].beam_center.y= 0
736	theory.detector[0].distance= 13705.0
737
738	theory.name= model.name
739	theory.group_id ="Model"
740	theory.id ="Model"
741	theory.xmin= -qmax
742	theory.xmax= qmax
743	theory.ymin= -qmax
744	theory.ymax= qmax
745	print "model draw comptele xmax",theory.xmax
746	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
747	title="Analytical model 2D %s" %str(model.name)))
748
749
750
751	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
752	if qmin==None:
753	qmin= 0.0
754	if qmax==None:
755	qmax= 0.05
756	if qstep ==None:
757	qstep =100
758
759	x= numpy.linspace(start= -1*qmax,
760	stop= qmax,
761	num= qstep,
762	endpoint=True )
763	y = numpy.linspace(start= -1*qmax,
764	stop= qmax,
765	num= qstep,
766	endpoint=True )
767
768	lx = len(x)
769	#print x
770	data=numpy.zeros([len(x),len(y)])
771	self.model= model
772	if enable2D:
773	from model_thread import Calc2D
774	self.calc_thread = Calc2D(parent =self.parent,x=x,
775	y=y,model= self.model,
776	qmin=qmin,
777	qmax=qmax,
778	completefn=self.complete,
779	updatefn=None)
780	self.calc_thread.queue()
781	self.calc_thread.ready(2.5)
782
783
784	if __name__ == "__main__":
785	i = Plugin()
786
787
788
789

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 568e1a5

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