fitting.py @ 32673ac

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 32673ac was 32673ac, checked in by Gervaise Alina <gervyh@…>, 15 years ago
working on the view2D button
Property mode set to `100644`
File size: 31.6 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
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
54	def populate_menu(self, id, owner):
55	"""
56	Create a menu for the Fitting plug-in
57	@param id: id to create a menu
58	@param owner: owner of menu
59	@ return : list of information to populate the main menu
60	"""
61	#Menu for fitting
62	self.menu1 = wx.Menu()
63	id1 = wx.NewId()
64	self.menu1.Append(id1, '&Show fit panel')
65	wx.EVT_MENU(owner, id1, self.on_perspective)
66	id3 = wx.NewId()
67	self.menu1.AppendCheckItem(id3, "park")
68	wx.EVT_MENU(owner, id3, self._onset_engine)
69
70	#menu for model
71	menu2 = wx.Menu()
72
73	self.menu_mng.populate_menu(menu2, owner)
74	id2 = wx.NewId()
75	owner.Bind(models.EVT_MODEL,self._on_model_menu)
76	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
77	self.fit_panel.set_owner(owner)
78	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
79	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
80	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
81	#create menubar items
82	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
83
84
85	def help(self, evt):
86	"""
87	Show a general help dialog.
88	TODO: replace the text with a nice image
89	"""
90	from helpDialog import HelpWindow
91	dialog = HelpWindow(None, -1, 'HelpWindow')
92	if dialog.ShowModal() == wx.ID_OK:
93	pass
94	dialog.Destroy()
95
96
97	def get_context_menu(self, graph=None):
98	"""
99	Get the context menu items available for P(r)
100	@param graph: the Graph object to which we attach the context menu
101	@return: a list of menu items with call-back function
102	"""
103	self.graph=graph
104	for item in graph.plottables:
105	if item.__class__.__name__ is "Data2D":
106	return [["Select data for Fitting",\
107	"Dialog with fitting parameters ", self._onSelect]]
108	else:
109	if item.name==graph.selected_plottable and\
110	item.__class__.__name__ is "Data1D":
111	return [["Select data for Fitting", \
112	"Dialog with fitting parameters ", self._onSelect]]
113	return []
114
115
116	def get_panels(self, parent):
117	"""
118	Create and return a list of panel objects
119	"""
120	self.parent = parent
121	# Creation of the fit panel
122	self.fit_panel = FitPanel(self.parent, -1)
123	#Set the manager forthe main panel
124	self.fit_panel.set_manager(self)
125	# List of windows used for the perspective
126	self.perspective = []
127	self.perspective.append(self.fit_panel.window_name)
128	# take care of saving data, model and page associated with each other
129	self.page_finder = {}
130	#index number to create random model name
131	self.index_model = 0
132	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
133	#create the fitting panel
134	#return [self.fit_panel]
135
136	self.mypanels.append(self.fit_panel)
137	return self.mypanels
138	def _on_slicer_event(self, event):
139	print "fitting:slicer event ", event.panel
140	new_panel = event.panel
141	# Set group ID if available
142	event_id = self.parent.popup_panel(new_panel)
143	self.menu1.Append(event_id, new_panel.window_caption,
144	"Show %s plot panel" % new_panel.window_caption)
145	# Set UID to allow us to reference the panel later
146	new_panel.uid = event_id
147	new_panel
148	self.mypanels.append(new_panel)
149	return
150	def _on_show_panel(self, event):
151	print "_on_show_panel: fitting"
152
153	def get_perspective(self):
154	"""
155	Get the list of panel names for this perspective
156	"""
157	return self.perspective
158
159
160	def on_perspective(self, event):
161	"""
162	Call back function for the perspective menu item.
163	We notify the parent window that the perspective
164	has changed.
165	"""
166	self.parent.set_perspective(self.perspective)
167
168
169	def post_init(self):
170	"""
171	Post initialization call back to close the loose ends
172	[Somehow openGL needs this call]
173	"""
174	self.parent.set_perspective(self.perspective)
175
176
177	def _onSelect(self,event):
178	"""
179	when Select data to fit a new page is created .Its reference is
180	added to self.page_finder
181	"""
182	self.panel = event.GetEventObject()
183	for item in self.panel.graph.plottables:
184	if item.name == self.panel.graph.selected_plottable or\
185	item.__class__.__name__ is "Data2D":
186	#find a name for the page created for notebook
187	try:
188	page, model_name = self.fit_panel.add_fit_page(item)
189	# add data associated to the page created
190
191	if page !=None:
192
193	#create a fitproblem storing all link to data,model,page creation
194	self.page_finder[page]= FitProblem()
195	self.page_finder[page].save_model_name(model_name)
196	self.page_finder[page].add_data(item)
197	except:
198	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
199	%sys.exc_value))
200	def schedule_for_fit(self,value=0,fitproblem =None):
201	"""
202
203	"""
204	if fitproblem !=None:
205	fitproblem.schedule_tofit(value)
206	else:
207	current_pg=self.fit_panel.get_current_page()
208	for page, val in self.page_finder.iteritems():
209	if page ==current_pg :
210	val.schedule_tofit(value)
211	break
212
213
214	def get_page_finder(self):
215	""" @return self.page_finder used also by simfitpage.py"""
216	return self.page_finder
217
218
219	def set_page_finder(self,modelname,names,values):
220	"""
221	Used by simfitpage.py to reset a parameter given the string constrainst.
222	@param modelname: the name ot the model for with the parameter has to reset
223	@param value: can be a string in this case.
224	@param names: the paramter name
225	@note: expecting park used for fit.
226	"""
227	sim_page=self.fit_panel.get_page(0)
228	for page, value in self.page_finder.iteritems():
229	if page != sim_page:
230	list=value.get_model()
231	model=list[0]
232	#print "fitting",model.name,modelname
233	if model.name== modelname:
234	value.set_model_param(names,values)
235	break
236
237
238
239	def split_string(self,item):
240	"""
241	receive a word containing dot and split it. used to split parameterset
242	name into model name and parameter name example:
243	paramaterset (item) = M1.A
244	@return model_name =M1 , parameter name =A
245	"""
246	if string.find(item,".")!=-1:
247	param_names= re.split("\.",item)
248	model_name=param_names[0]
249	param_name=param_names[1]
250	return model_name,param_name
251
252
253	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
254	"""
255	Display fit result on one page of the notebook.
256	@param result: result of fit
257	@param pars: list of names of parameters fitted
258	@param current_pg: the page where information will be displayed
259	@param qmin: the minimum value of x to replot the model
260	@param qmax: the maximum value of x to replot model
261
262	"""
263	#self.done = True
264	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
265	try:
266	for page, value in self.page_finder.iteritems():
267	if page==cpage :
268	#fitdata = value.get_data()
269	list = value.get_model()
270	model= list[0]
271	break
272	i = 0
273	# print "fitting: single fit pars ", pars
274	for name in pars:
275	if result.pvec.__class__==numpy.float64:
276	model.setParam(name,result.pvec)
277	else:
278	model.setParam(name,result.pvec[i])
279	# print "fitting: single fit", name, result.pvec[i]
280	i += 1
281	# print "fitting result : chisqr",result.fitness
282	# print "fitting result : pvec",result.pvec
283	# print "fitting result : stderr",result.stderr
284
285	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
286	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
287	except:
288	raise
289	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
290
291
292	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
293	"""
294	Parameter estimation completed,
295	display the results to the user
296	@param alpha: estimated best alpha
297	@param elapsed: computation time
298	"""
299	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
300	try:
301	for page, value in self.page_finder.iteritems():
302	if value.get_scheduled()==1:
303	#fitdata = value.get_data()
304	list = value.get_model()
305	model= list[0]
306
307	small_out = []
308	small_cov = []
309	i = 0
310	#Separate result in to data corresponding to each page
311	for p in result.parameters:
312	model_name,param_name = self.split_string(p.name)
313	if model.name == model_name:
314	small_out.append(p.value )
315	small_cov.append(p.stderr)
316	model.setParam(param_name,p.value)
317	# Display result on each page
318	page.onsetValues(result.fitness, small_out,small_cov)
319	#Replot model
320	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
321	except:
322	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
323
324
325	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
326	"""
327	perform fit for the current page and return chisqr,out and cov
328	@param engineName: type of fit to be performed
329	@param id: unique id corresponding to a fit problem(model, set of data)
330	@param model: model to fit
331
332	"""
333	#print "in single fitting"
334	#set an engine to perform fit
335	from sans.fit.Fitting import Fit
336	self.fitter= Fit(self._fit_engine)
337	#Setting an id to store model and data in fit engine
338	if id==None:
339	id=0
340	self.id = id
341	page_fitted=None
342	fit_problem=None
343	#Get information (model , data) related to the page on
344	#with the fit will be perform
345	#current_pg=self.fit_panel.get_current_page()
346	#simul_pg=self.fit_panel.get_page(0)
347
348	for page, value in self.page_finder.iteritems():
349	if value.get_scheduled() ==1 :
350	metadata = value.get_data()
351	list=value.get_model()
352	model=list[0]
353	smearer= value.get_smearer()
354	#Create list of parameters for fitting used
355	pars=[]
356	templist=[]
357	try:
358	#templist=current_pg.get_param_list()
359	templist=page.get_param_list()
360	for element in templist:
361	pars.append(str(element[0].GetLabelText()))
362	pars.sort()
363	#Do the single fit
364	self.fitter.set_model(Model(model), self.id, pars)
365
366	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
367	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
368	page_fitted=page
369	self.id+=1
370	self.schedule_for_fit( 0,value)
371	except:
372	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
373	return
374	# make sure to keep an alphabetic order
375	#of parameter names in the list
376	try:
377	# If a thread is already started, stop it
378	if self.calc_thread != None and self.calc_thread.isrunning():
379	self.calc_thread.stop()
380
381	self.calc_thread =FitThread(parent =self.parent,
382	fn= self.fitter,
383	pars= pars,
384	cpage= page_fitted,
385	qmin=qmin,
386	qmax=qmax,
387	ymin= ymin,
388	ymax= ymax,
389	completefn=self._single_fit_completed,
390	updatefn=None)
391	self.calc_thread.queue()
392	self.calc_thread.ready(2.5)
393	#while not self.done:
394	#print "when here"
395	# time.sleep(1)
396
397
398	except:
399	raise
400	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
401	return
402
403	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
404	"""
405	perform fit for all the pages selected on simpage and return chisqr,out and cov
406	@param engineName: type of fit to be performed
407	@param id: unique id corresponding to a fit problem(model, set of data)
408	in park_integration
409	@param model: model to fit
410
411	"""
412	#set an engine to perform fit
413	from sans.fit.Fitting import Fit
414	self.fitter= Fit(self._fit_engine)
415
416	#Setting an id to store model and data
417	if id==None:
418	id = 0
419	self.id = id
420
421	for page, value in self.page_finder.iteritems():
422	try:
423	if value.get_scheduled()==1:
424	metadata = value.get_data()
425	list = value.get_model()
426	model= list[0]
427	#Create dictionary of parameters for fitting used
428	pars = []
429	templist = []
430	templist = page.get_param_list()
431	for element in templist:
432	try:
433	name = str(element[0].GetLabelText())
434	pars.append(name)
435	except:
436	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
437	return
438	new_model=Model(model)
439	param=value.get_model_param()
440
441	if len(param)>0:
442	for item in param:
443	param_value = item[1]
444	param_name = item[0]
445	#print "fitting ", param,param_name, param_value
446
447	#new_model.set( model.getParam(param_name[0])= param_value)
448	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
449	#new_model.set( exec "%s"%(param_nam) = param_value)
450	new_model.parameterset[ param_name].set( param_value )
451
452	self.fitter.set_model(new_model, self.id, pars)
453	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
454	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
455	self.id += 1
456	except:
457	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
458	return
459	#Do the simultaneous fit
460	try:
461	# If a thread is already started, stop it
462	if self.calc_thread != None and self.calc_thread.isrunning():
463	self.calc_thread.stop()
464
465	self.calc_thread =FitThread(parent =self.parent,
466	fn= self.fitter,
467	qmin=qmin,
468	qmax=qmax,
469	ymin= ymin,
470	ymax= ymax,
471	completefn= self._simul_fit_completed,
472	updatefn=None)
473	self.calc_thread.queue()
474	self.calc_thread.ready(2.5)
475
476	except:
477	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
478	return
479
480
481	def _onset_engine(self,event):
482	""" set engine to scipy"""
483	if self._fit_engine== 'park':
484	self._on_change_engine('scipy')
485	else:
486	self._on_change_engine('park')
487	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
488
489
490	def _on_change_engine(self, engine='park'):
491	"""
492	Allow to select the type of engine to perform fit
493	@param engine: the key work of the engine
494	"""
495	self._fit_engine = engine
496
497
498	def _on_model_panel(self, evt):
499	"""
500	react to model selection on any combo box or model menu.plot the model
501	"""
502
503	model = evt.model
504	name = evt.name
505	sim_page=self.fit_panel.get_page(0)
506	current_pg = self.fit_panel.get_current_page()
507	selected_page = self.fit_panel.get_selected_page()
508	if current_pg != sim_page:
509	current_pg.set_panel(model)
510	model.name = self.page_finder[current_pg].get_name()
511	try:
512	metadata=self.page_finder[current_pg].get_data()
513	M_name=model.name+"= "+name+"("+metadata.group_id+")"
514	except:
515	M_name=model.name+"= "+name
516	#model.name="M"+str(self.index_model)
517	self.index_model += 1
518	# save model name
519
520	# save the name containing the data name with the appropriate model
521	self.page_finder[current_pg].set_model(model,M_name)
522	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
523	sim_page.add_model(self.page_finder)
524
525	def set_smearer(self,smearer):
526	current_pg=self.fit_panel.get_current_page()
527	self.page_finder[current_pg].set_smearer(smearer)
528
529	def redraw_model(self,qmin= None,qmax= None):
530	"""
531	Draw a theory according to model changes or data range.
532	@param qmin: the minimum value plotted for theory
533	@param qmax: the maximum value plotted for theory
534	"""
535	current_pg=self.fit_panel.get_current_page()
536	for page, value in self.page_finder.iteritems():
537	if page ==current_pg :
538	break
539	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
540
541	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,ymin=None,ymax=None):
542	"""
543	Plot a theory given a model and data
544	@param model: the model from where the theory is derived
545	@param currpage: page in a dictionary referring to some data
546	"""
547	if self.fit_panel.get_page_count() >1:
548	for page in self.page_finder.iterkeys():
549	if page==currpage :
550	data=self.page_finder[page].get_data()
551	list=self.page_finder[page].get_model()
552	model=list[0]
553	break
554
555	if data!=None and data.__class__.__name__ != 'Data2D':
556	theory = Theory1D(x=[], y=[])
557	theory.name = model.name
558	theory.group_id = data.group_id
559	theory.id = "Model"
560	x_name, x_units = data.get_xaxis()
561	y_name, y_units = data.get_yaxis()
562	theory.xaxis(x_name, x_units)
563	theory.yaxis(y_name, y_units)
564	if qmin == None :
565	qmin = min(data.x)
566	if qmax == None :
567	qmax = max(data.x)
568	try:
569	tempx = qmin
570	tempy = model.run(qmin)
571	theory.x.append(tempx)
572	theory.y.append(tempy)
573	except :
574	wx.PostEvent(self.parent, StatusEvent(status="fitting \
575	skipping point x %g %s" %(qmin, sys.exc_value)))
576
577	for i in range(len(data.x)):
578	try:
579	if data.x[i]> qmin and data.x[i]< qmax:
580	tempx = data.x[i]
581	tempy = model.run(tempx)
582	theory.x.append(tempx)
583	theory.y.append(tempy)
584
585	except:
586	wx.PostEvent(self.parent, StatusEvent(status="fitting \
587	skipping point x %g %s" %(data.x[i], sys.exc_value)))
588	try:
589	tempx = qmax
590	tempy = model.run(qmax)
591	theory.x.append(tempx)
592	theory.y.append(tempy)
593	except:
594	wx.PostEvent(self.parent, StatusEvent(status="fitting \
595	skipping point x %g %s" %(qmax, sys.exc_value)))
596
597	else:
598	theory=Data2D(data.data, data.err_data)
599	theory.name= model.name
600	theory.id= "Model"
601	theory.group_id= "Model"+data.name
602	theory.x_bins= data.x_bins
603	theory.y_bins= data.y_bins
604	tempy=[]
605	if qmin==None:
606	qmin=data.xmin
607	if qmax==None:
608	qmax=data.xmax
609	if ymin==None:
610	ymin=data.ymin
611	if ymax==None:
612	ymax=data.ymax
613
614	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
615	for i in range(len(data.y_bins)):
616	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
617	for j in range(len(data.x_bins)):
618	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
619	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
620
621	#print "fitting : plot_helper:", theory.image
622	#print data.image
623	#print "fitting : plot_helper:",theory.image
624	theory.detector= data.detector
625	theory.source= data.source
626	theory.zmin= data.zmin
627	theory.zmax= data.zmax
628	theory.xmin= qmin
629	theory.xmax= qmax
630	theory.ymin= ymin
631	theory.ymax= ymax
632
633	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
634	title="Analytical model %s"%str(data.name)))
635
636
637	def _on_model_menu(self, evt):
638	"""
639	Plot a theory from a model selected from the menu
640	"""
641	name = evt.model.__name__
642	if hasattr(evt.model, "name"):
643	name = evt.model.name
644	model=evt.model()
645	description=model.description
646
647	# Create a model page. If a new page is created, the model
648	# will be plotted automatically. If a page already exists,
649	# the content will be updated and the plot refreshed
650	self.fit_panel.add_model_page(model,description,name,topmenu=True)
651
652	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,
653	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
654	"""
655	draw model with default data value
656	"""
657	self._draw_model2D(model=model,
658	description=model.description,
659	enable2D= enable2D,
660	qmin=qmin,
661	qmax=qmax,
662	qstep=qstep)
663	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
664
665	def _draw_model1D(self,model,name,description=None, enable1D=True,
666	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
667
668	if enable1D:
669	x= numpy.linspace(start= qmin,
670	stop= qmax,
671	num= qstep,
672	endpoint=True
673	)
674	xlen= len(x)
675	y = numpy.zeros(xlen)
676	if not enable1D:
677	for i in range(xlen):
678	y[i] = model.run(x[i])
679
680	try:
681	new_plot = Theory1D(x, y)
682	new_plot.name = name
683	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
684	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
685	new_plot.id = "Model"
686	new_plot.group_id ="Model"
687	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
688
689	except:
690	raise
691	else:
692	for i in range(xlen):
693	y[i] = model.run(x[i])
694	#print x, y
695	try:
696	new_plot = Theory1D(x, y)
697	new_plot.name = name
698	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
699	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
700	new_plot.id ="Model"
701	new_plot.group_id ="Model"
702
703	# Pass the reset flag to let the plotting event handler
704	# know that we are replacing the whole plot
705	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
706	title="Analytical model 1D ", reset=True ))
707
708	except:
709	raise
710	def update(self, output,time):
711	pass
712
713	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
714
715	wx.PostEvent(self.parent, StatusEvent(status="Calc \
716	complete in %g sec" % elapsed))
717	#print "complete",output, model,qmin, qmax
718	data = output
719	theory= Data2D(data)
720	#print data.detector
721	#theory.detector= data.detector
722	from DataLoader.data_info import Detector, Source
723
724	detector = Detector()
725	theory.detector=[]
726	theory.detector.append(detector)
727
728	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
729	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
730	theory.detector[0].beam_center.x= qmax
731	theory.detector[0].beam_center.y= qmax
732	theory.detector[0].distance= 1e+12#13705.0
733	theory.source= Source()
734	theory.source.wavelength= 2*math.pi/1e+12#8.4
735
736	theory.name= model.name
737	theory.group_id ="Model"
738	theory.id ="Model"
739	theory.xmin= -qmax
740	theory.xmax= qmax
741	theory.ymin= -qmax
742	theory.ymax= qmax
743
744	print "model draw comptele xmax",theory.xmax
745	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
746	title="Analytical model 2D %s" %str(model.name), reset=True))
747
748
749
750	def _draw_model2D(self,model,description=None, enable2D=False,
751	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
752
753	x= numpy.linspace(start= -1*qmax,
754	stop= qmax,
755	num= qstep,
756	endpoint=True )
757	y = numpy.linspace(start= -1*qmax,
758	stop= qmax,
759	num= qstep,
760	endpoint=True )
761
762	lx = len(x)
763	#print x
764	data=numpy.zeros([len(x),len(y)])
765	self.model= model
766	if enable2D:
767	from model_thread import Calc2D
768	self.calc_thread = Calc2D(parent =self.parent,x=x,
769	y=y,model= self.model,
770	qmin=qmin,
771	qmax=qmax,
772	qstep=qstep,
773	completefn=self.complete,
774	updatefn=None)
775	self.calc_thread.queue()
776	self.calc_thread.ready(2.5)
777
778
779	if __name__ == "__main__":
780	i = Plugin()
781
782
783
784

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 32673ac

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