fitting.py @ 89032bf

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 89032bf was 89032bf, checked in by Gervaise Alina <gervyh@…>, 16 years ago
fitting model2D plot on the separate new panel
Property mode set to `100644`
File size: 32.2 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
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	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
264	#self.done = True
265	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
266	try:
267	for page, value in self.page_finder.iteritems():
268	if page==cpage :
269	#fitdata = value.get_data()
270	list = value.get_model()
271	model= list[0]
272	break
273	i = 0
274	#print "fitting: single fit pars ", pars
275	for name in pars:
276	if result.pvec.__class__==numpy.float64:
277	model.setParam(name,result.pvec)
278	else:
279	model.setParam(name,result.pvec[i])
280	# print "fitting: single fit", name, result.pvec[i]
281	i += 1
282	# print "fitting result : chisqr",result.fitness
283	# print "fitting result : pvec",result.pvec
284	# print "fitting result : stderr",result.stderr
285
286	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
287	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
288	except:
289	#raise
290	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
291
292
293	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
294	"""
295	Parameter estimation completed,
296	display the results to the user
297	@param alpha: estimated best alpha
298	@param elapsed: computation time
299	"""
300	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
301	try:
302	for page, value in self.page_finder.iteritems():
303	if value.get_scheduled()==1:
304	#fitdata = value.get_data()
305	list = value.get_model()
306	model= list[0]
307
308	small_out = []
309	small_cov = []
310	i = 0
311	#Separate result in to data corresponding to each page
312	for p in result.parameters:
313	model_name,param_name = self.split_string(p.name)
314	if model.name == model_name:
315	small_out.append(p.value )
316	small_cov.append(p.stderr)
317	model.setParam(param_name,p.value)
318	# Display result on each page
319	page.onsetValues(result.fitness, small_out,small_cov)
320	#Replot model
321	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
322	except:
323	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
324
325
326	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
327	"""
328	perform fit for the current page and return chisqr,out and cov
329	@param engineName: type of fit to be performed
330	@param id: unique id corresponding to a fit problem(model, set of data)
331	@param model: model to fit
332
333	"""
334	#print "in single fitting"
335	#set an engine to perform fit
336	from sans.fit.Fitting import Fit
337	self.fitter= Fit(self._fit_engine)
338	#Setting an id to store model and data in fit engine
339	if id==None:
340	id=0
341	self.id = id
342	page_fitted=None
343	fit_problem=None
344	#Get information (model , data) related to the page on
345	#with the fit will be perform
346	#current_pg=self.fit_panel.get_current_page()
347	#simul_pg=self.fit_panel.get_page(0)
348
349	for page, value in self.page_finder.iteritems():
350	if value.get_scheduled() ==1 :
351	metadata = value.get_data()
352	list=value.get_model()
353	model=list[0]
354	smearer= value.get_smearer()
355	#Create list of parameters for fitting used
356	pars=[]
357	templist=[]
358	try:
359	#templist=current_pg.get_param_list()
360	templist=page.get_param_list()
361	for element in templist:
362	pars.append(str(element[0].GetLabelText()))
363	pars.sort()
364	#print "single fit start pars:", pars
365	#Do the single fit
366	self.fitter.set_model(Model(model), self.id, pars)
367
368	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
369	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
370	page_fitted=page
371	self.id+=1
372	self.schedule_for_fit( 0,value)
373	except:
374	#raise
375	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
376	return
377	# make sure to keep an alphabetic order
378	#of parameter names in the list
379	try:
380	# If a thread is already started, stop it
381	if self.calc_thread != None and self.calc_thread.isrunning():
382	self.calc_thread.stop()
383
384	self.calc_thread =FitThread(parent =self.parent,
385	fn= self.fitter,
386	pars= pars,
387	cpage= page_fitted,
388	qmin=qmin,
389	qmax=qmax,
390	ymin= ymin,
391	ymax= ymax,
392	completefn=self._single_fit_completed,
393	updatefn=None)
394	self.calc_thread.queue()
395	self.calc_thread.ready(2.5)
396	#while not self.done:
397	#print "when here"
398	# time.sleep(1)
399
400
401	except:
402	#raise
403	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
404	return
405
406	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
407	"""
408	perform fit for all the pages selected on simpage and return chisqr,out and cov
409	@param engineName: type of fit to be performed
410	@param id: unique id corresponding to a fit problem(model, set of data)
411	in park_integration
412	@param model: model to fit
413
414	"""
415	#set an engine to perform fit
416	from sans.fit.Fitting import Fit
417	self.fitter= Fit(self._fit_engine)
418
419	#Setting an id to store model and data
420	if id==None:
421	id = 0
422	self.id = id
423
424	for page, value in self.page_finder.iteritems():
425	try:
426	if value.get_scheduled()==1:
427	metadata = value.get_data()
428	list = value.get_model()
429	model= list[0]
430	#Create dictionary of parameters for fitting used
431	pars = []
432	templist = []
433	templist = page.get_param_list()
434	for element in templist:
435	try:
436	name = str(element[0].GetLabelText())
437	pars.append(name)
438	except:
439	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
440	return
441	new_model=Model(model)
442	param=value.get_model_param()
443
444	if len(param)>0:
445	for item in param:
446	param_value = item[1]
447	param_name = item[0]
448	#print "fitting ", param,param_name, param_value
449
450	#new_model.set( model.getParam(param_name[0])= param_value)
451	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
452	#new_model.set( exec "%s"%(param_nam) = param_value)
453	new_model.parameterset[ param_name].set( param_value )
454
455	self.fitter.set_model(new_model, self.id, pars)
456	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
457	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
458	self.id += 1
459	except:
460	#raise
461	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
462	return
463	#Do the simultaneous fit
464	try:
465	# If a thread is already started, stop it
466	if self.calc_thread != None and self.calc_thread.isrunning():
467	self.calc_thread.stop()
468
469	self.calc_thread =FitThread(parent =self.parent,
470	fn= self.fitter,
471	qmin=qmin,
472	qmax=qmax,
473	ymin= ymin,
474	ymax= ymax,
475	completefn= self._simul_fit_completed,
476	updatefn=None)
477	self.calc_thread.queue()
478	self.calc_thread.ready(2.5)
479
480	except:
481	#raise
482	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
483	return
484
485
486	def _onset_engine(self,event):
487	""" set engine to scipy"""
488	if self._fit_engine== 'park':
489	self._on_change_engine('scipy')
490	else:
491	self._on_change_engine('park')
492	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
493
494
495	def _on_change_engine(self, engine='park'):
496	"""
497	Allow to select the type of engine to perform fit
498	@param engine: the key work of the engine
499	"""
500	self._fit_engine = engine
501
502
503	def _on_model_panel(self, evt):
504	"""
505	react to model selection on any combo box or model menu.plot the model
506	"""
507
508	model = evt.model
509	name = evt.name
510	sim_page=self.fit_panel.get_page(0)
511	current_pg = self.fit_panel.get_current_page()
512	selected_page = self.fit_panel.get_selected_page()
513	if current_pg != sim_page:
514	current_pg.set_panel(model)
515	model.name = self.page_finder[current_pg].get_name()
516	try:
517	metadata=self.page_finder[current_pg].get_data()
518	M_name=model.name+"= "+name+"("+metadata.group_id+")"
519	except:
520	M_name=model.name+"= "+name
521	#model.name="M"+str(self.index_model)
522	self.index_model += 1
523	# save model name
524
525	# save the name containing the data name with the appropriate model
526	self.page_finder[current_pg].set_model(model,M_name)
527	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
528	sim_page.add_model(self.page_finder)
529
530	def set_smearer(self,smearer):
531	current_pg=self.fit_panel.get_current_page()
532	self.page_finder[current_pg].set_smearer(smearer)
533
534	def redraw_model(self,qmin= None,qmax= None):
535	"""
536	Draw a theory according to model changes or data range.
537	@param qmin: the minimum value plotted for theory
538	@param qmax: the maximum value plotted for theory
539	"""
540	current_pg=self.fit_panel.get_current_page()
541	for page, value in self.page_finder.iteritems():
542	if page ==current_pg :
543	break
544	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
545
546	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
547	ymin=None,ymax=None, title=None ):
548	"""
549	Plot a theory given a model and data
550	@param model: the model from where the theory is derived
551	@param currpage: page in a dictionary referring to some data
552	"""
553	if self.fit_panel.get_page_count() >1:
554	for page in self.page_finder.iterkeys():
555	if page==currpage :
556	data=self.page_finder[page].get_data()
557	list=self.page_finder[page].get_model()
558	model=list[0]
559	break
560
561	if data!=None and data.__class__.__name__ != 'Data2D':
562	theory = Theory1D(x=[], y=[])
563	theory.name = model.name
564	theory.group_id = data.group_id
565	theory.id = "Model"
566	x_name, x_units = data.get_xaxis()
567	y_name, y_units = data.get_yaxis()
568	theory.xaxis(x_name, x_units)
569	theory.yaxis(y_name, y_units)
570	if qmin == None :
571	qmin = min(data.x)
572	if qmax == None :
573	qmax = max(data.x)
574	try:
575	tempx = qmin
576	tempy = model.run(qmin)
577	theory.x.append(tempx)
578	theory.y.append(tempy)
579	except :
580	wx.PostEvent(self.parent, StatusEvent(status="fitting \
581	skipping point x %g %s" %(qmin, sys.exc_value)))
582
583	for i in range(len(data.x)):
584	try:
585	if data.x[i]> qmin and data.x[i]< qmax:
586	tempx = data.x[i]
587	tempy = model.run(tempx)
588	theory.x.append(tempx)
589	theory.y.append(tempy)
590
591	except:
592	wx.PostEvent(self.parent, StatusEvent(status="fitting \
593	skipping point x %g %s" %(data.x[i], sys.exc_value)))
594	try:
595	tempx = qmax
596	tempy = model.run(qmax)
597	theory.x.append(tempx)
598	theory.y.append(tempy)
599	except:
600	wx.PostEvent(self.parent, StatusEvent(status="fitting \
601	skipping point x %g %s" %(qmax, sys.exc_value)))
602
603	else:
604
605	theory=Data2D(data.data, data.err_data)
606	theory.name= model.name
607	if title !=None:
608	self.title = title
609	theory.id= self.title
610	theory.group_id= self.title+data.name
611	else:
612	self.title= "Analytical model 2D "
613	theory.id= "Model"
614	theory.group_id= "Model"+data.name
615	theory.x_bins= data.x_bins
616	theory.y_bins= data.y_bins
617	tempy=[]
618	if qmin==None:
619	qmin=data.xmin
620	if qmax==None:
621	qmax=data.xmax
622	if ymin==None:
623	ymin=data.ymin
624	if ymax==None:
625	ymax=data.ymax
626
627	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
628	for i in range(len(data.y_bins)):
629	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
630	for j in range(len(data.x_bins)):
631	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
632	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
633
634	#print "fitting : plot_helper:", theory.image
635	#print data.image
636	#print "fitting : plot_helper:",theory.image
637	theory.detector= data.detector
638	theory.source= data.source
639	theory.zmin= data.zmin
640	theory.zmax= data.zmax
641	theory.xmin= qmin
642	theory.xmax= qmax
643	theory.ymin= ymin
644	theory.ymax= ymax
645
646	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
647	title=self.title +str(data.name)))
648
649
650	def _on_model_menu(self, evt):
651	"""
652	Plot a theory from a model selected from the menu
653	"""
654	name = evt.model.__name__
655	if hasattr(evt.model, "name"):
656	name = evt.model.name
657	model=evt.model()
658	description=model.description
659
660	# Create a model page. If a new page is created, the model
661	# will be plotted automatically. If a page already exists,
662	# the content will be updated and the plot refreshed
663	self.fit_panel.add_model_page(model,description,name,topmenu=True)
664
665	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,
666	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
667	"""
668	draw model with default data value
669	"""
670	self._draw_model2D(model=model,
671	description=model.description,
672	enable2D= enable2D,
673	qmin=qmin,
674	qmax=qmax,
675	qstep=qstep)
676	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
677
678	def _draw_model1D(self,model,name,description=None, enable1D=True,
679	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
680
681	if enable1D:
682	x= numpy.linspace(start= qmin,
683	stop= qmax,
684	num= qstep,
685	endpoint=True
686	)
687	xlen= len(x)
688	y = numpy.zeros(xlen)
689	if not enable1D:
690	for i in range(xlen):
691	y[i] = model.run(x[i])
692
693	try:
694	new_plot = Theory1D(x, y)
695	new_plot.name = name
696	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
697	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
698	new_plot.id = "Model"
699	new_plot.group_id ="Model"
700	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
701
702	except:
703	raise
704	else:
705	for i in range(xlen):
706	y[i] = model.run(x[i])
707	#print x, y
708	try:
709	new_plot = Theory1D(x, y)
710	new_plot.name = name
711	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
712	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
713	new_plot.id ="Model"
714	new_plot.group_id ="Model"
715
716	# Pass the reset flag to let the plotting event handler
717	# know that we are replacing the whole plot
718	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
719	title="Analytical model 1D ", reset=True ))
720
721	except:
722	raise
723	def update(self, output,time):
724	pass
725
726	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
727
728	wx.PostEvent(self.parent, StatusEvent(status="Calc \
729	complete in %g sec" % elapsed))
730	#print "complete",output, model,qmin, qmax
731	data = output
732	theory= Data2D(data)
733	#print data.detector
734	#theory.detector= data.detector
735	from DataLoader.data_info import Detector, Source
736
737	detector = Detector()
738	theory.detector=[]
739	theory.detector.append(detector)
740
741	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
742	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
743	theory.detector[0].beam_center.x= qmax
744	theory.detector[0].beam_center.y= qmax
745	theory.detector[0].distance= 1e+12#13705.0
746	theory.source= Source()
747	theory.source.wavelength= 2*math.pi/1e+12#8.4
748
749	theory.name= model.name
750	theory.group_id ="Model"
751	theory.id ="Model"
752	theory.xmin= -qmax
753	theory.xmax= qmax
754	theory.ymin= -qmax
755	theory.ymax= qmax
756
757	print "model draw comptele xmax",theory.xmax,model.name
758	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
759	title="Analytical model 2D " ))
760
761
762
763	def _draw_model2D(self,model,description=None, enable2D=False,
764	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
765
766	x= numpy.linspace(start= -1*qmax,
767	stop= qmax,
768	num= qstep,
769	endpoint=True )
770	y = numpy.linspace(start= -1*qmax,
771	stop= qmax,
772	num= qstep,
773	endpoint=True )
774
775	lx = len(x)
776	#print x
777	data=numpy.zeros([len(x),len(y)])
778	self.model= model
779	if enable2D:
780	from model_thread import Calc2D
781	self.calc_thread = Calc2D(parent =self.parent,x=x,
782	y=y,model= self.model,
783	qmin=qmin,
784	qmax=qmax,
785	qstep=qstep,
786	completefn=self.complete,
787	updatefn=None)
788	self.calc_thread.queue()
789	self.calc_thread.ready(2.5)
790
791	def show_panel2D(self, id=None ):
792	self.parent.show_panel(147)
793
794
795	if __name__ == "__main__":
796	i = Plugin()
797
798
799
800

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 89032bf

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