fitting.py @ ca94880

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 ca94880 was ca7a626, checked in by Gervaise Alina <gervyh@…>, 16 years ago
combine single fit and simultaneous fit
Property mode set to `100644`
File size: 37.6 KB

Line
1	import 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,ERR_DATA
10
11	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data,
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models
16	import fitpage
17
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.1
21	DEFAULT_NPTS = 50
22	import time
23	import thread
24	class PlotInfo:
25	"""
26	store some plotting field
27	"""
28	_xunit = 'A^{-1}'
29	_xaxis= "\\rm{Q}"
30	_yunit = "cm^{-1}"
31	_yaxis= "\\rm{Intensity} "
32	id = "Model"
33	group_id = "Model"
34	title= None
35	info= None
36
37
38	class Plugin:
39	"""
40	Fitting plugin is used to perform fit
41	"""
42	def __init__(self):
43	## Plug-in name
44	self.sub_menu = "Fitting"
45
46	## Reference to the parent window
47	self.parent = None
48	#Provide list of models existing in the application
49	self.menu_mng = models.ModelManager()
50	## List of panels for the simulation perspective (names)
51	self.perspective = []
52	#list of panel to send to guiframe
53	self.mypanels=[]
54	# reference to the current running thread
55	self.calc_2D= None
56	self.calc_1D= None
57	self.calc_fit= None
58
59	# Start with a good default
60	self.elapsed = 0.022
61	# the type of optimizer selected, park or scipy
62	self.fitter = None
63	#Flag to let the plug-in know that it is running stand alone
64	self.standalone=True
65	## Fit engine
66	self._fit_engine = 'scipy'
67	#List of selected data
68	self.selected_data_list=[]
69	# Log startup
70	logging.info("Fitting plug-in started")
71	# model 2D view
72	self.model2D_id=None
73	#keep reference of the simultaneous fit page
74	self.sim_page=None
75	#dictionary containing data name and error on dy of that data
76	self.err_dy={}
77
78
79
80	def populate_menu(self, id, owner):
81	"""
82	Create a menu for the Fitting plug-in
83	@param id: id to create a menu
84	@param owner: owner of menu
85	@ return : list of information to populate the main menu
86	"""
87	#Menu for fitting
88	self.menu1 = wx.Menu()
89	id1 = wx.NewId()
90	self.menu1.Append(id1, '&Simultaneous')
91	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
92	self.menu1.AppendSeparator()
93	#Set park engine
94	id3 = wx.NewId()
95	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
96	self.menu1.Append(id3, "Scipy",scipy_help)
97	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
98	self.menu1.AppendSeparator()
99	id3 = wx.NewId()
100	park_help = "Park Engine: Perform Complex fit. More in Help window...."
101	self.menu1.Append(id3, "park",park_help)
102	wx.EVT_MENU(owner, id3, self._onset_engine_park)
103
104	#menu for model
105	menu2 = wx.Menu()
106
107	self.menu_mng.populate_menu(menu2, owner)
108	id2 = wx.NewId()
109	owner.Bind(models.EVT_MODEL,self._on_model_menu)
110
111	self.fit_panel.set_owner(owner)
112	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
113	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
114
115	#create menubar items
116	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
117
118	def on_add_sim_page(self, event):
119	"""
120	Create a page to access simultaneous fit option
121	"""
122	if self.sim_page !=None:
123	msg= "Simultaneous Fit page already opened"
124	wx.PostEvent(self.parent, StatusEvent(status= msg))
125	return
126
127	self.sim_page= self.fit_panel.add_sim_page()
128
129
130
131	def help(self, evt):
132	"""
133	Show a general help dialog.
134	TODO: replace the text with a nice image
135	"""
136	from helpPanel import HelpWindow
137	frame = HelpWindow(None, -1, 'HelpWindow')
138	frame.Show(True)
139
140
141	def get_context_menu(self, graph=None):
142	"""
143	Get the context menu items available for P(r)
144	@param graph: the Graph object to which we attach the context menu
145	@return: a list of menu items with call-back function
146	"""
147	self.graph=graph
148	for item in graph.plottables:
149	if item.__class__.__name__ is "Data2D":
150	return [["Select data for Fitting",\
151	"Dialog with fitting parameters ", self._onSelect]]
152	else:
153
154	if item.name==graph.selected_plottable :
155	if not hasattr(item, "group_id"):
156	return []
157	return [["Select data for Fitting", \
158	"Dialog with fitting parameters ", self._onSelect]]
159	return []
160
161
162	def get_panels(self, parent):
163	"""
164	Create and return a list of panel objects
165	"""
166	self.parent = parent
167	# Creation of the fit panel
168	self.fit_panel = FitPanel(self.parent, -1)
169	#Set the manager for the main panel
170	self.fit_panel.set_manager(self)
171	# List of windows used for the perspective
172	self.perspective = []
173	self.perspective.append(self.fit_panel.window_name)
174	# take care of saving data, model and page associated with each other
175	self.page_finder = {}
176	#index number to create random model name
177	self.index_model = 0
178	self.index_theory= 0
179	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
180	self.parent.Bind( ERR_DATA, self._on_data_error)
181
182	#Send the fitting panel to guiframe
183	self.mypanels.append(self.fit_panel)
184	return self.mypanels
185
186
187
188	def get_perspective(self):
189	"""
190	Get the list of panel names for this perspective
191	"""
192	return self.perspective
193
194
195	def on_perspective(self, event):
196	"""
197	Call back function for the perspective menu item.
198	We notify the parent window that the perspective
199	has changed.
200	"""
201	self.parent.set_perspective(self.perspective)
202
203
204	def post_init(self):
205	"""
206	Post initialization call back to close the loose ends
207	[Somehow openGL needs this call]
208	"""
209	self.parent.set_perspective(self.perspective)
210
211
212	def copy_data(self, item, dy):
213	"""
214	receive a data 1D and the list of errors on dy
215	and create a new data1D data
216	@param return
217	"""
218	detector=None
219	source=None
220	dxl=None
221	dxw=None
222	if hasattr(item, "dxl"):
223	dxl = item.dxl
224	if hasattr(item, "dxw"):
225	dxw = item.dxw
226	if hasattr(item, "detector"):
227	detector =item.detector
228	if hasattr(item, "source"):
229	source =item.source
230	from sans.guiframe import dataFitting
231	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
232	data.name=item.name
233	data.detector=detector
234	data.source= source
235	return data
236
237	def set_fit_range(self, page, qmin, qmax):
238	"""
239	Set the fitting range of a given page
240	"""
241	if page in self.page_finder.iterkeys():
242	fitproblem= self.page_finder[page]
243	fitproblem.set_range(qmin= qmin, qmax= qmax)
244
245	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
246	"""
247	Set the fit problem field to 0 or 1 to schedule that problem to fit.
248	Schedule the specified fitproblem or get the fit problem related to
249	the current page and set value.
250	@param value : integer 0 or 1
251	@param fitproblem: fitproblem to schedule or not to fit
252	"""
253	if fitproblem !=None:
254	fitproblem.schedule_tofit(value)
255	else:
256	if page in self.page_finder.iterkeys():
257	fitproblem= self.page_finder[page]
258	fitproblem.schedule_tofit(value)
259
260
261
262	def get_page_finder(self):
263	""" @return self.page_finder used also by simfitpage.py"""
264	return self.page_finder
265
266
267	def set_page_finder(self,modelname,names,values):
268	"""
269	Used by simfitpage.py to reset a parameter given the string constrainst.
270	@param modelname: the name ot the model for with the parameter has to reset
271	@param value: can be a string in this case.
272	@param names: the paramter name
273	@note: expecting park used for fit.
274	"""
275	sim_page= self.sim_page
276	for page, value in self.page_finder.iteritems():
277	if page != sim_page:
278	list=value.get_model()
279	model = list[0]
280	if model.name== modelname:
281	value.set_model_param(names,values)
282	break
283
284
285
286	def split_string(self,item):
287	"""
288	receive a word containing dot and split it. used to split parameterset
289	name into model name and parameter name example:
290	paramaterset (item) = M1.A
291	@return model_name =M1 , parameter name =A
292	"""
293	if string.find(item,".")!=-1:
294	param_names= re.split("\.",item)
295	model_name=param_names[0]
296	param_name=param_names[1]
297	return model_name,param_name
298
299
300	def stop_fit(self):
301	"""
302	Stop the fit engine
303	"""
304	if self.calc_fit!= None and self.calc_thread.isrunning():
305	self.calc_thread.stop()
306	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
307	is cancelled" , type="stop"))
308
309
310
311	def set_smearer(self,smearer, qmin=None, qmax=None):
312	"""
313	Get a smear object and store it to a fit problem
314	@param smearer: smear object to allow smearing data
315	"""
316	current_pg=self.fit_panel.get_current_page()
317	self.page_finder[current_pg].set_smearer(smearer)
318	## draw model 1D with smeared data
319	data = self.page_finder[current_pg].get_plotted_data()
320	model = self.page_finder[current_pg].get_model()
321	## if user has already selected a model to plot
322	## redraw the model with data smeared
323
324	smearer =self.page_finder[current_pg].get_smearer()
325	if smearer != None:
326	self.draw_model( model=model, data= data, smearer= smearer,
327	qmin= qmin, qmax= qmax)
328
329
330
331	def draw_model(self, model, data= None,smearer= None,
332	enable1D= True, enable2D= False,
333	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
334	"""
335	Draw model.
336	@param model: the model to draw
337	@param name: the name of the model to draw
338	@param data: the data on which the model is based to be drawn
339	@param description: model's description
340	@param enable1D: if true enable drawing model 1D
341	@param enable2D: if true enable drawing model 2D
342	@param qmin: Range's minimum value to draw model
343	@param qmax: Range's maximum value to draw model
344	@param qstep: number of step to divide the x and y-axis
345
346	"""
347	## draw model 1D with no loaded data
348	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
349	qmin= qmin, qmax= qmax, qstep= qstep )
350	## draw model 2D with no initial data
351	self._draw_model2D(model=model,
352	data = data,
353	enable2D= enable2D,
354	qmin=qmin,
355	qmax=qmax,
356	qstep=qstep)
357
358	def onFit(self):
359	"""
360	perform fit
361	"""
362	## count the number of fitproblem schedule to fit
363	fitproblem_count= 0
364	for value in self.page_finder.itervalues():
365	if value.get_scheduled()==1:
366	fitproblem_count += 1
367
368	## if simultaneous fit change automatically the engine to park
369	if fitproblem_count >1:
370	self._on_change_engine(engine='park')
371	from sans.fit.Fitting import Fit
372	self.fitter= Fit(self._fit_engine)
373
374	if self._fit_engine=="park":
375	engineType="Simutaneous Fit"
376	else:
377	engineType="Single Fit"
378
379	fproblemId = 0
380	current_pg=None
381	for page, value in self.page_finder.iteritems():
382	try:
383	if value.get_scheduled()==1:
384	#Get list of parameters name to fit
385	pars = []
386	templist = []
387	templist = page.get_param_list()
388	for element in templist:
389	name = str(element[0].GetLabelText())
390	pars.append(name)
391	#Set Engine (model , data) related to the page on
392	self._fit_helper( current_pg=page, value=value,pars=pars,
393	id=fproblemId, title= engineType )
394	fproblemId += 1
395	current_pg= page
396	except:
397	msg= "%s error: %s" % (engineType,sys.exc_value)
398	wx.PostEvent(self.parent, StatusEvent(status= msg ))
399	return
400	#Do the simultaneous fit
401	try:
402	## If a thread is already started, stop it
403	if self.calc_fit!= None and self.calc_fit.isrunning():
404	self.calc_fit.stop()
405	## perform single fit
406	if self._fit_engine=="scipy":
407	qmin, qmax= current_pg.get_range()
408	self.calc_fit=FitThread(parent =self.parent,
409	fn= self.fitter,
410	cpage=current_pg,
411	pars= pars,
412	completefn= self._single_fit_completed,
413	updatefn=None)
414
415	else:
416	## Perform more than 1 fit at the time
417	self.calc_fit=FitThread(parent =self.parent,
418	fn= self.fitter,
419	completefn= self._simul_fit_completed,
420	updatefn=None)
421	self.calc_fit.queue()
422	self.calc_fit.ready(2.5)
423
424	except:
425	msg= "%s error: %s" % (engineType,sys.exc_value)
426	wx.PostEvent(self.parent, StatusEvent(status= msg ))
427	return
428
429
430
431
432
433
434	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
435	"""
436	helper for fitting
437	"""
438	metadata = value.get_fit_data()
439	model = value.get_model()
440	smearer = value.get_smearer()
441	qmin , qmax = value.get_range()
442	self.fit_id =id
443	#Create list of parameters for fitting used
444	templist=[]
445	pars=pars
446	try:
447	## create a park model and reset parameter value if constraint
448	## is given
449	new_model = Model(model)
450	param = value.get_model_param()
451	if len(param)>0:
452	for item in param:
453	param_value = item[1]
454	param_name = item[0]
455	## check if constraint
456	if param_value !=None and param_name != None:
457	new_model.parameterset[ param_name].set( param_value )
458
459
460	#Do the single fit
461	self.fitter.set_model(new_model, self.fit_id, pars)
462	dy=[]
463	x=[]
464	y=[]
465	## checking the validity of error
466	if metadata.__class__ in ["Data1D","Theory1D"]:
467	for i in range(len(metadata.dy)):
468	if metadata.dy[i] !=0:
469	dy.append(metadata.dy[i])
470	x.append(metadata.x[i])
471	y.append(metadata.y[i])
472	if len(dy)>0:
473	metadata.dy=numpy.zeros(len(dy))
474	metadata.dy=dy
475	metadata.y=numpy.zeros(len(y))
476	metadata.y=y
477	metadata.x=numpy.zeros(len(x))
478	metadata.x=x
479
480	self.fitter.set_data(data=metadata,Uid=self.fit_id,
481	smearer=smearer,qmin= qmin,qmax=qmax )
482
483	self.fitter.select_problem_for_fit(Uid= self.fit_id,
484	value= value.get_scheduled())
485
486	except:
487	msg= title +" error: %s" % sys.exc_value
488	wx.PostEvent(self.parent, StatusEvent(status= msg ))
489	return
490
491	def _onSelect(self,event):
492	"""
493	when Select data to fit a new page is created .Its reference is
494	added to self.page_finder
495	"""
496	self.panel = event.GetEventObject()
497	for item in self.panel.graph.plottables:
498	if item.name == self.panel.graph.selected_plottable:
499	## put the errors values back to the model if the errors were hiden
500	## before sending them to the fit engine
501	if len(self.err_dy)>0:
502	if item.name in self.err_dy.iterkeys():
503	dy= self.err_dy[item.name]
504	data= self.copy_data(item, dy)
505	else:
506	data= item
507	else:
508	if item.dy==None:
509	dy= numpy.zeros(len(item.y))
510	dy[dy==0]=1
511	data= self.copy_data(item, dy)
512	else:
513	data= item
514	else:
515	data= item
516	## create anew page
517	if item.name == self.panel.graph.selected_plottable or\
518	item.__class__.__name__ is "Data2D":
519	try:
520	page = self.fit_panel.add_fit_page(data)
521	# add data associated to the page created
522	if page !=None:
523	#create a fitproblem storing all link to data,model,page creation
524	self.page_finder[page]= FitProblem()
525	## item is almost the same as data but contains
526	## axis info for plotting
527	self.page_finder[page].add_plotted_data(item)
528	self.page_finder[page].add_fit_data(data)
529
530	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
531	else:
532	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
533	except:
534	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
535	%sys.exc_value))
536	return
537
538	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
539	"""
540	Display fit result on one page of the notebook.
541	@param result: result of fit
542	@param pars: list of names of parameters fitted
543	@param current_pg: the page where information will be displayed
544	@param qmin: the minimum value of x to replot the model
545	@param qmax: the maximum value of x to replot model
546
547	"""
548	#wx.PostEvent(self.parent, StatusEvent(status="Single fit \
549	#complete! " , type="stop"))
550	try:
551	for page, value in self.page_finder.iteritems():
552	if page==cpage :
553	model= value.get_model()
554	break
555	i = 0
556	for name in pars:
557	if result.pvec.__class__==numpy.float64:
558	model.setParam(name,result.pvec)
559	else:
560	model.setParam(name,result.pvec[i])
561	i += 1
562	## Reset values of the current page to fit result
563	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
564	## plot the current model with new param
565	metadata = self.page_finder[cpage].get_fit_data()
566	model = self.page_finder[cpage].get_model()
567	qmin, qmax= self.page_finder[cpage].get_range()
568	#Replot models
569	msg= "Single Fit completed. plotting... %s:"%model.name
570	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
571	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
572
573	except:
574	msg= "Single Fit completed but Following error occurred:"
575	wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value)))
576	return
577
578
579	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
580	"""
581	Parameter estimation completed,
582	display the results to the user
583	@param alpha: estimated best alpha
584	@param elapsed: computation time
585	"""
586	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
587	complete ", type="stop"))
588
589	## fit more than 1 model at the same time
590	try:
591	for page, value in self.page_finder.iteritems():
592	if value.get_scheduled()==1:
593	model = value.get_model()
594	metadata = value.get_plotted_data()
595	small_out = []
596	small_cov = []
597	i = 0
598	#Separate result in to data corresponding to each page
599	for p in result.parameters:
600	model_name,param_name = self.split_string(p.name)
601	if model.name == model_name:
602	p_name= model.name+"."+param_name
603	if p.name == p_name:
604	small_out.append(p.value )
605	model.setParam(param_name,p.value)
606	if p.stderr==None:
607	p.stderr=numpy.nan
608	small_cov.append(p.stderr)
609
610	else:
611	small_cov.append(p.stderr)
612	else:
613	value= model.getParam(param_name)
614	small_out.append(value )
615	small_cov.append(numpy.nan)
616	# Display result on each page
617	page.onsetValues(result.fitness, small_out,small_cov)
618	#Replot models
619	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
620	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
621	qmin, qmax= page.get_range()
622	self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax)
623
624	except:
625	msg= "Simultaneous Fit completed but Following error occurred: "
626	wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value)))
627	return
628
629
630
631	def _on_show_panel(self, event):
632	print "_on_show_panel: fitting"
633
634
635	def _onset_engine_park(self,event):
636	"""
637	set engine to park
638	"""
639	self._on_change_engine('park')
640
641
642	def _onset_engine_scipy(self,event):
643	"""
644	set engine to scipy
645	"""
646	self._on_change_engine('scipy')
647
648	def _on_slicer_event(self, event):
649	"""
650	Receive a panel as event and send it to guiframe
651	@param event: event containing a panel
652	"""
653	if event.panel!=None:
654	new_panel = event.panel
655	# Set group ID if available
656	event_id = self.parent.popup_panel(new_panel)
657	self.menu1.Append(event_id, new_panel.window_caption,
658	"Show %s plot panel" % new_panel.window_caption)
659	# Set UID to allow us to reference the panel later
660	new_panel.uid = event_id
661	new_panel
662	self.mypanels.append(new_panel)
663	return
664
665	def _on_change_engine(self, engine='park'):
666	"""
667	Allow to select the type of engine to perform fit
668	@param engine: the key work of the engine
669	"""
670	self._fit_engine = engine
671	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
672
673
674	def _on_model_panel(self, evt):
675	"""
676	react to model selection on any combo box or model menu.plot the model
677	@param evt: wx.combobox event
678	"""
679	model = evt.model
680	if model ==None:
681	return
682
683	sim_page=self.sim_page
684	current_pg = self.fit_panel.get_current_page()
685	## make sure nothing is done on self.sim_page
686	## example trying to call set_panel on self.sim_page
687	if current_pg != sim_page:
688
689	if self.page_finder[current_pg].get_model()== None :
690
691	model.name="M"+str(self.index_model)
692	self.index_model += 1
693	else:
694
695	model.name= self.page_finder[current_pg].get_model().name
696
697
698	metadata = self.page_finder[current_pg].get_plotted_data()
699
700	# save the name containing the data name with the appropriate model
701	self.page_finder[current_pg].set_model(model)
702	# save model name
703	self.draw_model( model=model, data= metadata)
704
705	if self.sim_page!=None:
706	self.sim_page.draw_page()
707
708
709
710	def _on_model_menu(self, evt):
711	"""
712	Plot a theory from a model selected from the menu
713	@param evt: wx.menu event
714	"""
715	name = evt.model.__class__.__name__
716	if hasattr(evt.model, "name"):
717	name = evt.model.name
718	model=evt.model
719	description=model.description
720
721	# Create a model page. If a new page is created, the model
722	# will be plotted automatically. If a page already exists,
723	# the content will be updated and the plot refreshed
724	self.fit_panel.add_model_page(model,description,name,topmenu=True)
725
726
727
728
729	def _update1D(self,x, output):
730	"""
731	Update the output of plotting model 1D
732	"""
733	self.calc_thread.ready(1)
734
735	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
736	"""
737	fill Data2D with default value
738	@param theory: Data2D to fill
739	"""
740	from DataLoader.data_info import Detector, Source
741
742	detector = Detector()
743	theory.detector.append(detector)
744
745	theory.detector[0].distance=1e+32
746	theory.source= Source()
747	theory.source.wavelength=2*math.pi/1e+32
748
749	## Create detector for Model 2D
750	xmax=2theory.detector[0].distancemath.atan(\
751	qmax/(4*math.pi/theory.source.wavelength))
752
753	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
754	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
755	theory.detector[0].beam_center.x= qmax
756	theory.detector[0].beam_center.y= qmax
757	## create x_bins and y_bins of the model 2D
758	distance = theory.detector[0].distance
759	pixel = qstep/2-1
760	theta = pixel / distance / qstep#100.0
761	wavelength = theory.source.wavelength
762	pixel_width_x = theory.detector[0].pixel_size.x
763	pixel_width_y = theory.detector[0].pixel_size.y
764	center_x = theory.detector[0].beam_center.x/pixel_width_x
765	center_y = theory.detector[0].beam_center.y/pixel_width_y
766
767
768	size_x, size_y= numpy.shape(theory.data)
769	for i_x in range(size_x):
770	theta = (i_x-center_x)*pixel_width_x / distance
771	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
772	theory.x_bins.append(qx)
773	for i_y in range(size_y):
774	theta = (i_y-center_y)*pixel_width_y / distance
775	qy =4.0math.pi/wavelength math.tan(theta/2.0)
776	theory.y_bins.append(qy)
777
778	theory.group_id ="Model"
779	theory.id ="Model"
780	## determine plot boundaries
781	theory.xmin= -qmax
782	theory.xmax= qmax
783	theory.ymin= -qmax
784	theory.ymax= qmax
785
786
787	def _get_plotting_info(self, data=None):
788	"""
789	get plotting info from data if data !=None
790	else use some default
791	"""
792	my_info = PlotInfo()
793	if data !=None:
794	if hasattr(data,"info"):
795	x_name, x_units = data.get_xaxis()
796	y_name, y_units = data.get_yaxis()
797
798	my_info._xunit = x_units
799	my_info._xaxis = x_name
800	my_info._yunit = y_units
801	my_info._yaxis = y_name
802
803	my_info.title= data.name
804	if hasattr(data, "info"):
805	my_info.info= data.info
806	if hasattr(data, "group_id"):
807	my_info.group_id= data.group_id
808
809	return my_info
810
811	def _complete1D(self, x,y, elapsed,model,data=None):
812	"""
813	Complete plotting 1D data
814	"""
815	try:
816	new_plot = Theory1D(x=x, y=y)
817	my_info = self._get_plotting_info( data)
818	new_plot.name = model.name
819	new_plot.id = my_info.id
820	new_plot.group_id = my_info.group_id
821
822	new_plot.xaxis( my_info._xaxis, my_info._xunit)
823	new_plot.yaxis( my_info._yaxis, my_info._yunit)
824
825	# Pass the reset flag to let the plotting event handler
826	# know that we are replacing the whole plot
827	title= my_info.title
828	if title== None:
829	title="Analytical model 1D "
830	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
831	title= str(title), reset=True ))
832	else:
833	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
834	title= str(title)))
835
836	except:
837	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
838	msg+= " %s"%sys.exc_value
839	wx.PostEvent( self.parent, StatusEvent(status= msg ))
840	return
841
842
843
844
845	def _update2D(self, output,time=None):
846	"""
847	Update the output of plotting model
848	"""
849	wx.PostEvent(self.parent, StatusEvent(status="Plot \
850	#updating ... ",type="update"))
851	self.calc_thread.ready(0.01)
852
853
854	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
855	"""
856	Complete get the result of modelthread and create model 2D
857	that can be plot.
858	"""
859	msg = "Calc complete !"
860	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
861
862	err_image = numpy.zeros(numpy.shape(image))
863	err_image[err_image==0]= 1
864	theory= Data2D(image= image , err_image= err_image)
865	theory.name= model.name
866
867	if data ==None:
868	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
869
870	else:
871	theory.id= "Model"
872	theory.group_id= "Model"+data.name
873	theory.x_bins= data.x_bins
874	theory.y_bins= data.y_bins
875	theory.detector= data.detector
876	theory.source= data.source
877
878	## plot boundaries
879	theory.ymin= data.ymin
880	theory.ymax= data.ymax
881	theory.xmin= data.xmin
882	theory.xmax= data.xmax
883
884	## plot
885	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
886	title="Analytical model 2D ", reset=True ))
887
888	def _on_data_error(self, event):
889	"""
890	receives and event from plotting plu-gins to store the data name and
891	their errors of y coordinates for 1Data hide and show error
892	"""
893	self.err_dy= event.err_dy
894
895	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
896	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
897	"""
898	draw model in 2D
899	@param model: instance of the model to draw
900	@param description: the description of the model
901	@param enable2D: when True allows to draw model 2D
902	@param qmin: the minimum value to draw model 2D
903	@param qmax: the maximum value to draw model 2D
904	@param qstep: the number of division of Qx and Qy of the model to draw
905
906	"""
907
908	x= numpy.linspace(start= -1*qmax,
909	stop= qmax,
910	num= qstep,
911	endpoint=True )
912	y = numpy.linspace(start= -1*qmax,
913	stop= qmax,
914	num= qstep,
915	endpoint=True )
916	## use data info instead
917	if data !=None:
918	## check if data2D to plot
919	if hasattr(data, "x_bins"):
920	enable2D = True
921	x= data.x_bins
922	y= data.y_bins
923
924	if not enable2D:
925	return
926	try:
927	from model_thread import Calc2D
928	## If a thread is already started, stop it
929	if self.calc_2D != None and self.calc_2D.isrunning():
930	self.calc_2D.stop()
931	self.calc_2D = Calc2D( x= x,
932	y= y,
933	model= model,
934	data = data,
935	qmin= qmin,
936	qmax= qmax,
937	qstep= qstep,
938	completefn= self._complete2D,
939	updatefn= self._update2D )
940	self.calc_2D.queue()
941
942	except:
943	msg= " Error occurred when drawing %s Model 2D: "%model.name
944	msg+= " %s"%sys.exc_value
945	wx.PostEvent( self.parent, StatusEvent(status= msg ))
946	return
947
948	def _draw_model1D(self, model, data=None, smearer= None,
949	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
950	"""
951	Draw model 1D from loaded data1D
952	@param data: loaded data
953	@param model: the model to plot
954	"""
955
956	x= numpy.linspace(start= qmin,
957	stop= qmax,
958	num= qstep,
959	endpoint=True
960	)
961	if data!=None:
962	## check for data2D
963	if hasattr(data,"x_bins"):
964	return
965	x = data.x
966	if qmin == DEFAULT_QMIN :
967	qmin = min(data.x)
968	if qmax == DEFAULT_QMAX:
969	qmax = max(data.x)
970
971	if not enable1D:
972	return
973
974	try:
975	from model_thread import Calc1D
976	## If a thread is already started, stop it
977	if self.calc_1D!= None and self.calc_1D.isrunning():
978	self.calc_1D.stop()
979	self.calc_1D= Calc1D( x= x,
980	data = data,
981	model= model,
982	qmin = qmin,
983	qmax = qmax,
984	smearer = smearer,
985	completefn = self._complete1D,
986	updatefn = self._update1D )
987	self.calc_1D.queue()
988
989	except:
990	msg= " Error occurred when drawing %s Model 1D: "%model.name
991	msg+= " %s"%sys.exc_value
992	wx.PostEvent( self.parent, StatusEvent(status= msg ))
993	return
994
995
996
997
998
999	if __name__ == "__main__":
1000	i = Plugin()
1001
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1004

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ ca94880

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