fitting.py @ c48060c

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 c48060c was c48060c, checked in by Gervaise Alina <gervyh@…>, 16 years ago
small bug on model2D plotting
Property mode set to `100644`
File size: 29.4 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.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
10	from fitproblem import FitProblem
11	from fitpanel import FitPanel
12
13	import models,modelpage
14	import fitpage1D,fitpage2D
15	import park
16	DEFAULT_BEAM = 0.005
17	class Plugin:
18	"""
19	Fitting plugin is used to perform fit
20	"""
21	def __init__(self):
22	## Plug-in name
23	self.sub_menu = "Fitting"
24
25	## Reference to the parent window
26	self.parent = None
27	self.menu_mng = models.ModelManager()
28	## List of panels for the simulation perspective (names)
29	self.perspective = []
30	# Start with a good default
31	self.elapsed = 0.022
32	self.fitter = None
33
34	#Flag to let the plug-in know that it is running standalone
35	self.standalone=True
36	## Fit engine
37	self._fit_engine = 'scipy'
38	self.enable_model2D=False
39	# Log startup
40	logging.info("Fitting plug-in started")
41
42	def populate_menu(self, id, owner):
43	"""
44	Create a menu for the Fitting plug-in
45	@param id: id to create a menu
46	@param owner: owner of menu
47	@ return : list of information to populate the main menu
48	"""
49	#Menu for fitting
50	self.menu1 = wx.Menu()
51	id1 = wx.NewId()
52	self.menu1.Append(id1, '&Show fit panel')
53	wx.EVT_MENU(owner, id1, self.on_perspective)
54	id3 = wx.NewId()
55	self.menu1.AppendCheckItem(id3, "park")
56	wx.EVT_MENU(owner, id3, self._onset_engine)
57
58	#menu for model
59	menu2 = wx.Menu()
60
61	self.menu_mng.populate_menu(menu2, owner)
62	id2 = wx.NewId()
63	owner.Bind(models.EVT_MODEL,self._on_model_menu)
64	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
65	self.fit_panel.set_owner(owner)
66	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
67	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
68	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
69	#create menubar items
70	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
71
72
73	def help(self, evt):
74	"""
75	Show a general help dialog.
76	TODO: replace the text with a nice image
77	"""
78	from helpDialog import HelpWindow
79	dialog = HelpWindow(None, -1, 'HelpWindow')
80	if dialog.ShowModal() == wx.ID_OK:
81	pass
82	dialog.Destroy()
83
84
85	def get_context_menu(self, graph=None):
86	"""
87	Get the context menu items available for P(r)
88	@param graph: the Graph object to which we attach the context menu
89	@return: a list of menu items with call-back function
90	"""
91	self.graph=graph
92	for item in graph.plottables:
93	if item.__class__.__name__ is "Data2D":
94	return [["Select data for Fitting",\
95	"Dialog with fitting parameters ", self._onSelect]]
96	else:
97	if item.name==graph.selected_plottable and\
98	item.__class__.__name__ is "Data1D":
99	return [["Select data for Fitting", \
100	"Dialog with fitting parameters ", self._onSelect]]
101	return []
102
103
104	def get_panels(self, parent):
105	"""
106	Create and return a list of panel objects
107	"""
108	self.parent = parent
109	# Creation of the fit panel
110	self.fit_panel = FitPanel(self.parent, -1)
111	#Set the manager forthe main panel
112	self.fit_panel.set_manager(self)
113	# List of windows used for the perspective
114	self.perspective = []
115	self.perspective.append(self.fit_panel.window_name)
116	# take care of saving data, model and page associated with each other
117	self.page_finder = {}
118	#index number to create random model name
119	self.index_model = 0
120	#create the fitting panel
121	return [self.fit_panel]
122
123
124	def get_perspective(self):
125	"""
126	Get the list of panel names for this perspective
127	"""
128	return self.perspective
129
130
131	def on_perspective(self, event):
132	"""
133	Call back function for the perspective menu item.
134	We notify the parent window that the perspective
135	has changed.
136	"""
137	self.parent.set_perspective(self.perspective)
138
139
140	def post_init(self):
141	"""
142	Post initialization call back to close the loose ends
143	[Somehow openGL needs this call]
144	"""
145	self.parent.set_perspective(self.perspective)
146
147
148	def _onSelect(self,event):
149	"""
150	when Select data to fit a new page is created .Its reference is
151	added to self.page_finder
152	"""
153	self.panel = event.GetEventObject()
154	for item in self.panel.graph.plottables:
155	if item.name == self.panel.graph.selected_plottable or\
156	item.__class__.__name__ is "Data2D":
157	#find a name for the page created for notebook
158	try:
159	page = self.fit_panel.add_fit_page(item)
160	# add data associated to the page created
161
162	if page !=None:
163
164	#create a fitproblem storing all link to data,model,page creation
165	self.page_finder[page]= FitProblem()
166	self.page_finder[page].add_data(item)
167	except:
168	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
169	%sys.exc_value))
170	def schedule_for_fit(self,value=0,fitproblem =None):
171	"""
172
173	"""
174	if fitproblem !=None:
175	fitproblem.schedule_tofit(value)
176	else:
177	current_pg=self.fit_panel.get_current_page()
178	for page, val in self.page_finder.iteritems():
179	if page ==current_pg :
180	val.schedule_tofit(value)
181	break
182
183
184	def get_page_finder(self):
185	""" @return self.page_finder used also by simfitpage.py"""
186	return self.page_finder
187
188
189	def set_page_finder(self,modelname,names,values):
190	"""
191	Used by simfitpage.py to reset a parameter given the string constrainst.
192	@param modelname: the name ot the model for with the parameter has to reset
193	@param value: can be a string in this case.
194	@param names: the paramter name
195	@note: expecting park used for fit.
196	"""
197	sim_page=self.fit_panel.get_page(0)
198	for page, value in self.page_finder.iteritems():
199	if page != sim_page:
200	list=value.get_model()
201	model=list[0]
202	#print "fitting",model.name,modelname
203	if model.name== modelname:
204	value.set_model_param(names,values)
205	break
206
207
208
209	def split_string(self,item):
210	"""
211	receive a word containing dot and split it. used to split parameterset
212	name into model name and parameter name example:
213	paramaterset (item) = M1.A
214	@return model_name =M1 , parameter name =A
215	"""
216	if string.find(item,".")!=-1:
217	param_names= re.split("\.",item)
218	model_name=param_names[0]
219	param_name=param_names[1]
220	return model_name,param_name
221
222
223	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
224	"""
225	Display fit result on one page of the notebook.
226	@param result: result of fit
227	@param pars: list of names of parameters fitted
228	@param current_pg: the page where information will be displayed
229	@param qmin: the minimum value of x to replot the model
230	@param qmax: the maximum value of x to replot model
231
232	"""
233	try:
234	for page, value in self.page_finder.iteritems():
235	if page==cpage :
236	#fitdata = value.get_data()
237	list = value.get_model()
238	model= list[0]
239	break
240	i = 0
241	# print "fitting: single fit pars ", pars
242	for name in pars:
243	if result.pvec.__class__==numpy.float64:
244	model.setParam(name,result.pvec)
245	else:
246	model.setParam(name,result.pvec[i])
247	# print "fitting: single fit", name, result.pvec[i]
248	i += 1
249	# print "fitting result : chisqr",result.fitness
250	# print "fitting result : pvec",result.pvec
251	# print "fitting result : stderr",result.stderr
252
253	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
254	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
255	except:
256	raise
257	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
258
259
260	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
261	"""
262	Parameter estimation completed,
263	display the results to the user
264	@param alpha: estimated best alpha
265	@param elapsed: computation time
266	"""
267	try:
268	for page, value in self.page_finder.iteritems():
269	if value.get_scheduled()==1:
270	#fitdata = value.get_data()
271	list = value.get_model()
272	model= list[0]
273
274	small_out = []
275	small_cov = []
276	i = 0
277	#Separate result in to data corresponding to each page
278	for p in result.parameters:
279	model_name,param_name = self.split_string(p.name)
280	if model.name == model_name:
281	small_out.append(p.value )
282	small_cov.append(p.stderr)
283	model.setParam(param_name,p.value)
284	# Display result on each page
285	page.onsetValues(result.fitness, small_out,small_cov)
286	#Replot model
287	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
288	except:
289	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
290
291
292	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
293	"""
294	perform fit for the current page and return chisqr,out and cov
295	@param engineName: type of fit to be performed
296	@param id: unique id corresponding to a fit problem(model, set of data)
297	@param model: model to fit
298
299	"""
300	#print "in single fitting"
301	#set an engine to perform fit
302	from sans.fit.Fitting import Fit
303	self.fitter= Fit(self._fit_engine)
304	#Setting an id to store model and data in fit engine
305	if id==None:
306	id=0
307	self.id = id
308	page_fitted=None
309	fit_problem=None
310	#Get information (model , data) related to the page on
311	#with the fit will be perform
312	#current_pg=self.fit_panel.get_current_page()
313	#simul_pg=self.fit_panel.get_page(0)
314
315	for page, value in self.page_finder.iteritems():
316	if value.get_scheduled() ==1 :
317	metadata = value.get_data()
318	list=value.get_model()
319	model=list[0]
320	#Create list of parameters for fitting used
321	pars=[]
322	templist=[]
323	try:
324	#templist=current_pg.get_param_list()
325	templist=page.get_param_list()
326	for element in templist:
327	pars.append(str(element[0].GetLabelText()))
328	pars.sort()
329	#Do the single fit
330	self.fitter.set_model(Model(model), self.id, pars)
331
332	self.fitter.set_data(metadata,self.id,qmin,qmax)
333	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
334	page_fitted=page
335	self.id+=1
336	self.schedule_for_fit( 0,value)
337	except:
338	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
339	return
340	# make sure to keep an alphabetic order
341	#of parameter names in the list
342	try:
343	result=self.fitter.fit()
344	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
345	#print "single_fit: result",result.fitness,result.pvec,result.stderr
346	#self._single_fit_completed(result,pars,page,qmin,qmax)
347	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
348	except:
349	raise
350	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
351	return
352
353	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
354	"""
355	perform fit for all the pages selected on simpage and return chisqr,out and cov
356	@param engineName: type of fit to be performed
357	@param id: unique id corresponding to a fit problem(model, set of data)
358	in park_integration
359	@param model: model to fit
360
361	"""
362	#set an engine to perform fit
363	from sans.fit.Fitting import Fit
364	self.fitter= Fit(self._fit_engine)
365
366	#Setting an id to store model and data
367	if id==None:
368	id = 0
369	self.id = id
370
371	for page, value in self.page_finder.iteritems():
372	try:
373	if value.get_scheduled()==1:
374	metadata = value.get_data()
375	list = value.get_model()
376	model= list[0]
377	#Create dictionary of parameters for fitting used
378	pars = []
379	templist = []
380	templist = page.get_param_list()
381	for element in templist:
382	try:
383	name = str(element[0].GetLabelText())
384	pars.append(name)
385	except:
386	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
387	return
388	new_model=Model(model)
389	param=value.get_model_param()
390
391	if len(param)>0:
392	for item in param:
393	param_value = item[1]
394	param_name = item[0]
395	#print "fitting ", param,param_name, param_value
396
397	#new_model.set( model.getParam(param_name[0])= param_value)
398	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
399	#new_model.set( exec "%s"%(param_nam) = param_value)
400	new_model.parameterset[ param_name].set( param_value )
401
402	self.fitter.set_model(new_model, self.id, pars)
403	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
404	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
405	self.id += 1
406	except:
407	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
408	return
409	#Do the simultaneous fit
410	try:
411	result=self.fitter.fit()
412	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
413	except:
414	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
415	return
416
417
418	def _onset_engine(self,event):
419	""" set engine to scipy"""
420	if self._fit_engine== 'park':
421	self._on_change_engine('scipy')
422	else:
423	self._on_change_engine('park')
424	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
425
426
427	def _on_change_engine(self, engine='park'):
428	"""
429	Allow to select the type of engine to perform fit
430	@param engine: the key work of the engine
431	"""
432	self._fit_engine = engine
433
434
435	def _on_model_panel(self, evt):
436	"""
437	react to model selection on any combo box or model menu.plot the model
438	"""
439
440	model = evt.model
441	name = evt.name
442	sim_page=self.fit_panel.get_page(0)
443	current_pg = self.fit_panel.get_current_page()
444	if current_pg != sim_page:
445	current_pg.set_panel(model)
446
447	try:
448	metadata=self.page_finder[current_pg].get_data()
449	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
450	except:
451	M_name="M"+str(self.index_model)+"= "+name
452	model.name="M"+str(self.index_model)
453	self.index_model += 1
454
455	self.page_finder[current_pg].set_model(model,M_name)
456	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
457	sim_page.add_model(self.page_finder)
458
459
460	def redraw_model(self,qmin= None,qmax= None):
461	"""
462	Draw a theory according to model changes or data range.
463	@param qmin: the minimum value plotted for theory
464	@param qmax: the maximum value plotted for theory
465	"""
466	current_pg=self.fit_panel.get_current_page()
467	for page, value in self.page_finder.iteritems():
468	if page ==current_pg :
469	break
470	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
471
472	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
473	"""
474	Plot a theory given a model and data
475	@param model: the model from where the theory is derived
476	@param currpage: page in a dictionary referring to some data
477	"""
478	if self.fit_panel.get_page_count() >1:
479	for page in self.page_finder.iterkeys():
480	if page==currpage :
481	data=self.page_finder[page].get_data()
482	list=self.page_finder[page].get_model()
483	model=list[0]
484	break
485
486	if data!=None and data.__class__.__name__ != 'Data2D':
487	theory = Theory1D(x=[], y=[])
488	theory.name = "Model"
489	theory.group_id = data.group_id
490
491	x_name, x_units = data.get_xaxis()
492	y_name, y_units = data.get_yaxis()
493	theory.xaxis(x_name, x_units)
494	theory.yaxis(y_name, y_units)
495	if qmin == None :
496	qmin = min(data.x)
497	if qmax == None :
498	qmax = max(data.x)
499	try:
500	tempx = qmin
501	tempy = model.run(qmin)
502	theory.x.append(tempx)
503	theory.y.append(tempy)
504	except :
505	wx.PostEvent(self.parent, StatusEvent(status="fitting \
506	skipping point x %g %s" %(qmin, sys.exc_value)))
507
508	for i in range(len(data.x)):
509	try:
510	if data.x[i]> qmin and data.x[i]< qmax:
511	tempx = data.x[i]
512	tempy = model.run(tempx)
513	theory.x.append(tempx)
514	theory.y.append(tempy)
515
516	except:
517	wx.PostEvent(self.parent, StatusEvent(status="fitting \
518	skipping point x %g %s" %(data.x[i], sys.exc_value)))
519	try:
520	tempx = qmax
521	tempy = model.run(qmax)
522	theory.x.append(tempx)
523	theory.y.append(tempy)
524	except:
525	wx.PostEvent(self.parent, StatusEvent(status="fitting \
526	skipping point x %g %s" %(qmax, sys.exc_value)))
527
528	else:
529	theory=Data2D(data.data, data.err_data)
530
531	theory.x_bins= data.x_bins
532	theory.y_bins= data.y_bins
533	tempy=[]
534	if qmin==None:
535	qmin=data.xmin
536	if qmax==None:
537	qmax=data.xmax
538	if ymin==None:
539	ymin=data.ymin
540	if ymax==None:
541	ymax=data.ymax
542
543	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
544	for i in range(len(data.y_bins)):
545	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
546	for j in range(len(data.x_bins)):
547	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
548	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
549
550	#print "fitting : plot_helper:", theory.image
551	#print data.image
552	#print "fitting : plot_helper:",theory.image
553	theory.detector= data.detector
554	theory.source= data.source
555	theory.zmin= data.zmin
556	theory.zmax= data.zmax
557	theory.xmin= qmin
558	theory.xmax= qmax
559	theory.ymin= ymin
560	theory.ymax= ymax
561
562	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
563
564
565	def _on_model_menu(self, evt):
566	"""
567	Plot a theory from a model selected from the menu
568	"""
569
570	model=evt.model()
571	#name="Model View"
572	#print "mon menu",model.name
573	description=model.description
574	#self.fit_panel.add_model_page(model,description,name)
575
576	self.draw_model(model,self.enable_model2D)
577
578	def draw_model(self,model,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
579	"""
580	draw model with default data value
581	"""
582	self.fit_panel.add_model_page(model,model.description,model.name)
583	self._draw_model2D(model,model.description, enable2D,qmin,qmax,qstep)
584	self._draw_model1D(model,model.description, enable1D,qmin,qmax, qstep)
585
586	def _draw_model1D(self,model,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
587
588	if enable1D:
589	if qmin==None:
590	qmin= 0.001
591	if qmax==None:
592	qmax= 1.0
593	if qstep ==None:
594	qstep =0.001
595
596
597	x = numpy.arange(qmin, qmax, qstep)
598	xlen= len(x)
599	y = numpy.zeros(xlen)
600	if not enable1D:
601	for i in range(xlen):
602	y[i] = model.run(x[i])
603
604	try:
605	new_plot = Theory1D(x, y)
606	#new_plot.name = model.name
607	new_plot.name = "Model"
608	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
609	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
610
611	new_plot.group_id ="Fitness"
612	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
613
614	except:
615	raise
616	else:
617	for i in range(xlen):
618	y[i] = model.run(x[i])
619
620	try:
621	new_plot = Theory1D(x, y)
622	new_plot.name = model.name
623	#new_plot.name = "Model"
624	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
625	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
626
627	new_plot.group_id ="Fitness"
628	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
629
630	except:
631	raise
632	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
633	if qmin==None:
634	qmin= -0.05
635	if qmax==None:
636	qmax= 0.05
637	if qstep ==None:
638	qstep =0.001
639	x = numpy.arange(qmin,qmax, qstep)
640	y = numpy.arange(qmin,qmax,qstep)
641	lx = len(x)
642	data=numpy.zeros([len(x),len(y)])
643	if enable2D:
644	"""
645	for i_x in range(int(len(x)/2)):
646	if i_x%2==1:
647	continue
648	for i_y in range(len(y)):
649	try:
650	value = model.runXY([x[i_x], y[i_y]])
651	#output[i_x][i_y] = value
652	#output[lx-i_x-1][lx-i_y-1] = value
653	data[i_y][i_x] = value
654	data[lx-i_y-1][lx-i_x-1] = value
655	except:
656	wx.PostEvent(self.parent, StatusEvent(status="\
657	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
658
659	if lx%2==1:
660	i_x = int(len(x)/2)
661	for i_y in range(len(y)):
662	try:
663	value = model.runXY([x[i_x],y[i_y]])
664	#output[i_x][i_y] = value
665	data[i_y][i_x] = value
666	except:
667	wx.PostEvent(self.parent, StatusEvent(status="\
668	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
669
670	"""
671	for i_x in range(int(len(x)/2)):
672	"""
673	if not i_x%2==1:
674	continue
675	"""
676	for i_y in range(len(y)):
677	try:
678	value = model.runXY([x[i_x],y[i_y]])
679	#output[i_x][i_y] = value
680	#output[lx-i_x-1][lx-i_y-1] = value
681	data[i_y][i_x] = value
682	data[lx-i_y-1][lx-i_x-1] = value
683	except:
684	wx.PostEvent(self.parent, StatusEvent(status="\
685	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
686
687
688
689	theory= Data2D(data)
690	theory.group_id =str(model.name)+" 2D"
691	theory.xmin= qmin
692	theory.xmax= qmax
693	theory.ymin= qmin
694	theory.ymax= qmax
695	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
696
697
698
699	def H_draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
700	if qmin==None:
701	qmin= -0.05
702	if qmax==None:
703	qmax= 0.05
704	if qstep ==None:
705	qstep =0.001
706	x = numpy.arange(qmin,qmax, qstep)
707	y = numpy.arange(qmin,qmax,qstep)
708	lx = len(self.x)
709	if enable2D:
710	data=numpy.zeros([len(x),len(y)])
711	for i in range(len(x)):
712	for j in range(len(x)):
713	try:
714	data[i][j]=model.runXY([j,i])
715	except:
716	wx.PostEvent(self.parent, StatusEvent(status="\
717	Model 2D cannot be plot %g %s %s" %(data[i][j],model.name, sys.exc_value)))
718	theory = Data2D(data)
719	theory.group_id =str(model.name)+" 2D"
720	theory.xmin= qmin
721	theory.xmax= qmax
722	theory.ymin= qmin
723	theory.ymax= qmax
724	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
725
726
727	def on_draw_model2D(self, event):
728	"""
729	plot view model 2D
730	"""
731
732	if self.enable_model2D== True:
733	self.enable_model2D=False
734	else:
735	self.enable_model2D=True
736	print "self.enable_model2D",self.enable_model2D
737	if __name__ == "__main__":
738	i = Plugin()
739
740
741
742

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ c48060c

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