fitting.py @ 31f9c172

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 31f9c172 was 3831ea1e, checked in by Jae Cho <jhjcho@…>, 14 years ago
fixed select for fitting from popupmenu on plot
Property mode set to `100644`
File size: 63.8 KB

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1
2
3	################################################################################
4	#This software was developed by the University of Tennessee as part of the
5	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
6	#project funded by the US National Science Foundation.
7	#
8	#See the license text in license.txt
9	#
10	#copyright 2009, University of Tennessee
11	################################################################################
12
13
14	import re
15	import sys
16	import wx
17	import logging
18	import numpy
19	import string
20	import time
21	from copy import deepcopy
22	import models
23	import fitpage
24
25
26	from DataLoader.loader import Loader
27	from sans.guiframe.dataFitting import Data2D
28	from sans.guiframe.dataFitting import Data1D
29	from sans.guiframe.events import NewPlotEvent
30	from sans.guiframe.events import StatusEvent
31	from sans.guiframe.events import EVT_SLICER_PANEL
32	from sans.guiframe.events import EVT_REMOVE_DATA
33	from sans.guiframe.events import EVT_SLICER_PARS_UPDATE
34	from sans.guiframe.gui_style import GUIFRAME_ID
35	from sans.guiframe.plugin_base import PluginBase
36
37	from .console import ConsoleUpdate
38	from .fitproblem import FitProblem
39	from .fitpanel import FitPanel
40	from .fit_thread import FitThread
41	from .pagestate import Reader
42	from .fitpage import Chi2UpdateEvent
43
44	DEFAULT_BEAM = 0.005
45	DEFAULT_QMIN = 0.001
46	DEFAULT_QMAX = 0.13
47	DEFAULT_NPTS = 50
48	MAX_NBR_DATA = 4
49
50
51	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
52
53
54
55	class Plugin(PluginBase):
56	"""
57	Fitting plugin is used to perform fit
58	"""
59	def __init__(self, standalone=False):
60	PluginBase.__init__(self, name="Fitting", standalone=standalone)
61
62	#list of panel to send to guiframe
63	self.mypanels = []
64	# reference to the current running thread
65	self.calc_2D = None
66	self.calc_1D = None
67	self.fit_thread_list = {}
68	self.residuals = None
69	self.fit_panel = None
70	# Start with a good default
71	self.elapsed = 0.022
72	# the type of optimizer selected, park or scipy
73	self.fitter = None
74	self.fit_panel = None
75	#let fit ready
76	self.fitproblem_count = None
77	#Flag to let the plug-in know that it is running stand alone
78	self.standalone = True
79	## dictionary of page closed and id
80	self.closed_page_dict = {}
81	## Fit engine
82	self._fit_engine = 'scipy'
83	## Relative error desired in the sum of squares (float); scipy only
84	self.ftol=1.49012e-08
85	#List of selected data
86	self.selected_data_list = []
87	## list of slicer panel created to display slicer parameters and results
88	self.slicer_panels = []
89	# model 2D view
90	self.model2D_id = None
91	#keep reference of the simultaneous fit page
92	self.sim_page = None
93	self.index_model = 0
94	#Create a reader for fit page's state
95	self.state_reader = None
96	self._extensions = '.fitv'
97	self.scipy_id = wx.NewId()
98	self.park_id = wx.NewId()
99
100	self.temp_state = []
101	self.state_index = 0
102	self.sfile_ext = None
103	# take care of saving data, model and page associated with each other
104	self.page_finder = {}
105	# Log startup
106	logging.info("Fitting plug-in started")
107
108	def populate_menu(self, owner):
109	"""
110	Create a menu for the Fitting plug-in
111
112	:param id: id to create a menu
113	:param owner: owner of menu
114
115	:return: list of information to populate the main menu
116
117	"""
118	#Menu for fitting
119	self.menu1 = wx.Menu()
120	id1 = wx.NewId()
121	simul_help = "Add new fit panel"
122	self.menu1.Append(id1, '&New Fit Page',simul_help)
123	wx.EVT_MENU(owner, id1, self.on_add_new_page)
124	self.menu1.AppendSeparator()
125	id1 = wx.NewId()
126	simul_help = "Simultaneous Fit"
127	self.menu1.Append(id1, '&Simultaneous Fit',simul_help)
128	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
129	self.menu1.AppendSeparator()
130	#Set park engine
131
132	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
133	self.menu1.AppendCheckItem(self.scipy_id, "Simple Fit [Scipy]",scipy_help)
134	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
135
136	park_help = "Park Engine: Perform Complex fit. More in Help window...."
137	self.menu1.AppendCheckItem(self.park_id, "Complex Fit [Park]",park_help)
138	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
139
140	self.menu1.FindItemById(self.scipy_id).Check(True)
141	self.menu1.FindItemById(self.park_id).Check(False)
142	#create menubar items
143	return [(self.menu1, self.sub_menu)]
144
145	def on_add_sim_page(self, event):
146	"""
147	Create a page to access simultaneous fit option
148	"""
149	if self.sim_page != None:
150	msg= "Simultaneous Fit page already opened"
151	wx.PostEvent(self.parent, StatusEvent(status= msg))
152	return
153
154	self.sim_page= self.fit_panel.add_sim_page()
155
156	def help(self, evt):
157	"""
158	Show a general help dialog.
159	"""
160	from help_panel import HelpWindow
161	frame = HelpWindow(None, -1, 'HelpWindow')
162	frame.Show(True)
163
164	def get_context_menu(self, plotpanel=None):
165	"""
166	Get the context menu items available for P(r).them allow fitting option
167	for Data2D and Data1D only.
168
169	:param graph: the Graph object to which we attach the context menu
170
171	:return: a list of menu items with call-back function
172
173	:note: if Data1D was generated from Theory1D
174	the fitting option is not allowed
175
176	"""
177	graph = plotpanel.graph
178	fit_option = "Select data for fitting"
179	fit_hint = "Dialog with fitting parameters "
180
181	if graph.selected_plottable not in plotpanel.plots:
182	return []
183	item = plotpanel.plots[graph.selected_plottable]
184	if item.__class__.__name__ is "Data2D":
185	if hasattr(item,"is_data"):
186	if item.is_data:
187	return [[fit_option, fit_hint, self._onSelect]]
188	else:
189	return []
190	return [[fit_option, fit_hint, self._onSelect]]
191	else:
192
193	# if is_data is true , this in an actual data loaded
194	#else it is a data created from a theory model
195	if hasattr(item,"is_data"):
196	if item.is_data:
197	return [[fit_option, fit_hint,
198	self._onSelect]]
199	else:
200	return []
201	return []
202
203
204	def get_panels(self, parent):
205	"""
206	Create and return a list of panel objects
207	"""
208	self.parent = parent
209	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
210	# Creation of the fit panel
211	self.fit_panel = FitPanel(parent=self.parent, manager=self)
212	self.on_add_new_page(event=None)
213	#Set the manager for the main panel
214	self.fit_panel.set_manager(self)
215	# List of windows used for the perspective
216	self.perspective = []
217	self.perspective.append(self.fit_panel.window_name)
218
219	#index number to create random model name
220	self.index_model = 0
221	self.index_theory= 0
222	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
223
224	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
225	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
226	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
227	#Create reader when fitting panel are created
228	self.state_reader = Reader(self.set_state)
229	#append that reader to list of available reader
230	loader = Loader()
231	loader.associate_file_reader(".fitv", self.state_reader)
232	loader.associate_file_reader(".svs", self.state_reader)
233	from sans.perspectives.calculator.sld_panel import SldPanel
234	#Send the fitting panel to guiframe
235	self.mypanels.append(self.fit_panel)
236	self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
237	return self.mypanels
238
239	def clear_panel(self):
240	"""
241	"""
242	self.fit_panel.clear_panel()
243
244	def set_default_perspective(self):
245	"""
246	Call back method that True to notify the parent that the current plug-in
247	can be set as default perspective.
248	when returning False, the plug-in is not candidate for an automatic
249	default perspective setting
250	"""
251	return True
252
253	def delete_data(self, data):
254	"""
255	delete the given data from panel
256	"""
257	self.fit_panel.delete_data(data)
258
259	def set_data(self, data_list=None):
260	"""
261	receive a list of data to fit
262	"""
263	if data_list is None:
264	data_list = []
265	selected_data_list = []
266	if len(data_list) > MAX_NBR_DATA :
267	from fitting_widgets import DataDialog
268	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
269	if dlg.ShowModal() == wx.ID_OK:
270	selected_data_list = dlg.get_data()
271	else:
272	selected_data_list = data_list
273	try:
274	for data in selected_data_list:
275	self.add_fit_page(data=data)
276	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
277	title=str(data.title)))
278
279	except:
280	raise
281	#msg = "Fitting Set_data: " + str(sys.exc_value)
282	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
283
284	def set_top_panel(self):
285	"""
286	Close default (welcome) panel
287	"""
288	if 'default' in self.parent.panels:
289	self.parent.on_close_welcome_panel()
290
291
292	def set_theory(self, theory_list=None):
293	"""
294	"""
295	#set the model state for a given theory_state:
296	for item in theory_list:
297	try:
298	_, theory_state = item
299	self.fit_panel.set_model_state(theory_state)
300	except:
301	msg = "Fitting: cannot deal with the theory received"
302	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
303	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
304
305	def set_state(self, state=None, datainfo=None, format=None):
306	"""
307	Call-back method for the fit page state reader.
308	This method is called when a .fitv/.svs file is loaded.
309
310	: param state: PageState object
311	: param datainfo: data
312	"""
313	#state = self.state_reader.get_state()
314	if state != None:
315	state = state.clone()
316	# store fitting state in temp_state
317	self.temp_state.append(state)
318	else:
319	self.temp_state = []
320	# index to start with for a new set_state
321	self.state_index = 0
322	# state file format
323	self.sfile_ext = format
324
325	self.on_set_state_helper(event=None)
326
327	def on_set_state_helper(self,event=None):
328	"""
329	Set_state_helper. This actually sets state after plotting data from state file.
330
331	: event: FitStateUpdateEvent called by dataloader.plot_data from guiframe
332	"""
333	if len(self.temp_state) == 0:
334	if self.state_index==0 and len(self.mypanels) <= 0 and self.sfile_ext =='.svs':
335	self.fit_panel.add_default_pages()
336	self.temp_state = []
337	self.state_index = 0
338	return
339
340	try:
341	# Load fitting state
342	state = self.temp_state[self.state_index]
343	#panel state should have model selection to set_state
344	if state.formfactorcombobox != None:
345	#set state
346	data = self.parent.create_gui_data(state.data)
347	data.group_id = state.data.group_id
348	self.parent.add_data(data_list={data.id:data})
349	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
350	title=data.title))
351	#need to be fix later make sure we are sendind guiframe.data
352	#to panel
353	state.data = data
354	page = self.fit_panel.set_state(state)
355	else:
356	#just set data because set_state won't work
357	data = self.parent.create_gui_data(state.data)
358	data.group_id = state.data.group_id
359	self.parent.add_data(data_list={data.id:data})
360	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
361	title=data.title))
362	page = self.add_fit_page(data)
363	caption = page.window_name
364	self.store_data(page=page.id, data=data, caption=caption)
365	self.mypanels.append(page)
366
367	# get ready for the next set_state
368	self.state_index += 1
369
370	#reset state variables to default when all set_state is finished.
371	if len(self.temp_state) == self.state_index:
372
373	self.temp_state = []
374	#self.state_index = 0
375	# Make sure the user sees the fitting panel after loading
376	#self.parent.set_perspective(self.perspective)
377	self.on_perspective(event=None)
378	except:
379	self.state_index==0
380	self.temp_state = []
381	raise
382
383	def save_fit_state(self, filepath, fitstate):
384	"""
385	save fit page state into file
386	"""
387	self.state_reader.write(filename=filepath, fitstate=fitstate)
388
389	def set_fit_range(self, uid, qmin, qmax):
390	"""
391	Set the fitting range of a given page
392	"""
393	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
394
395	def schedule_for_fit(self,value=0, uid=None,fitproblem =None):
396	"""
397	Set the fit problem field to 0 or 1 to schedule that problem to fit.
398	Schedule the specified fitproblem or get the fit problem related to
399	the current page and set value.
400
401	:param value: integer 0 or 1
402	:param fitproblem: fitproblem to schedule or not to fit
403
404	"""
405	if fitproblem !=None:
406	fitproblem.schedule_tofit(value)
407	else:
408	self.page_finder[uid].schedule_tofit(value)
409
410	def get_page_finder(self):
411	"""
412	return self.page_finder used also by simfitpage.py
413	"""
414	return self.page_finder
415
416	def set_page_finder(self,modelname,names,values):
417	"""
418	Used by simfitpage.py to reset a parameter given the string constrainst.
419
420	:param modelname: the name ot the model for with the parameter has to reset
421	:param value: can be a string in this case.
422	:param names: the paramter name
423
424	:note: expecting park used for fit.
425
426	"""
427	sim_page_id = self.sim_page.uid
428	for uid, value in self.page_finder.iteritems():
429	if uid != sim_page_id:
430	list = value.get_model()
431	model = list[0]
432	if model.name == modelname:
433	value.set_model_param(names, values)
434	break
435
436	def split_string(self,item):
437	"""
438	receive a word containing dot and split it. used to split parameterset
439	name into model name and parameter name example: ::
440
441	paramaterset (item) = M1.A
442	Will return model_name = M1 , parameter name = A
443
444	"""
445	if string.find(item,".")!=-1:
446	param_names= re.split("\.",item)
447	model_name=param_names[0]
448	##Assume max len is 3; eg., M0.radius.width
449	if len(param_names) == 3:
450	param_name=param_names[1]+"."+param_names[2]
451	else:
452	param_name=param_names[1]
453	return model_name,param_name
454
455	def set_ftol(self, ftol=None):
456	"""
457	Set ftol: Relative error desired in the sum of chi squares.
458	"""
459	# check if it is flaot
460	try:
461	f_tol = float(ftol)
462	except:
463	# default
464	f_tol = 1.49012e-08
465
466	self.ftol = f_tol
467
468	def stop_fit(self, uid):
469	"""
470	Stop the fit engine
471	"""
472	if uid in self.fit_thread_list.keys():
473	calc_fit = self.fit_thread_list[uid]
474	if calc_fit is not None and calc_fit.isrunning():
475	calc_fit.stop()
476	msg = "Fit stop!"
477	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
478	#set the fit button label of page when fit stop is trigger from
479	#simultaneous fit pane
480	if self.sim_page is not None and uid == self.sim_page.uid:
481	for uid, value in self.page_finder.iteritems():
482	if value.get_scheduled() == 1:
483	if uid in self.fit_panel.opened_pages.keys():
484	panel = self.fit_panel.opened_pages[uid]
485	panel. _on_fit_complete()
486
487	def set_smearer(self, uid, smearer, qmin=None, qmax=None, draw=True,
488	enable2D=False):
489	"""
490	Get a smear object and store it to a fit problem
491
492	:param smearer: smear object to allow smearing data
493
494	"""
495	if uid not in self.page_finder.keys():
496	msg = "Cannot find ID: %s in page_finder" % str(uid)
497	raise ValueError, msg
498	self.page_finder[uid].set_smearer(smearer)
499	self.page_finder[uid].set_enable2D(enable2D)
500	if draw:
501	## draw model 1D with smeared data
502	data = self.page_finder[uid].get_fit_data()
503	model = self.page_finder[uid].get_model()
504	if model is None:
505	return
506	enable1D = True
507	enable2D = self.page_finder[uid].get_enable2D()
508	if enable2D:
509	enable1D = False
510
511	## if user has already selected a model to plot
512	## redraw the model with data smeared
513	smear = self.page_finder[uid].get_smearer()
514	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
515	enable1D=enable1D, enable2D=enable2D,
516	qmin=qmin, qmax=qmax)
517
518	def draw_model(self, model, page_id, data=None, smearer=None,
519	enable1D=True, enable2D=False,
520	state=None,
521	toggle_mode_on=False,
522	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
523	qstep=DEFAULT_NPTS,
524	update_chisqr=True):
525	"""
526	Draw model.
527
528	:param model: the model to draw
529	:param name: the name of the model to draw
530	:param data: the data on which the model is based to be drawn
531	:param description: model's description
532	:param enable1D: if true enable drawing model 1D
533	:param enable2D: if true enable drawing model 2D
534	:param qmin: Range's minimum value to draw model
535	:param qmax: Range's maximum value to draw model
536	:param qstep: number of step to divide the x and y-axis
537	:param update_chisqr: update chisqr [bool]
538
539	"""
540	if data.__class__.__name__ == "Data1D" or not enable2D:
541	## draw model 1D with no loaded data
542	self._draw_model1D(model=model,
543	data=data,
544	page_id=page_id,
545	enable1D=enable1D,
546	smearer=smearer,
547	qmin=qmin,
548	qmax=qmax,
549	toggle_mode_on=toggle_mode_on,
550	state=state,
551	qstep=qstep,
552	update_chisqr=update_chisqr)
553	else:
554	## draw model 2D with no initial data
555	self._draw_model2D(model=model,
556	page_id=page_id,
557	data=data,
558	enable2D=enable2D,
559	smearer=smearer,
560	qmin=qmin,
561	qmax=qmax,
562	state=state,
563	toggle_mode_on=toggle_mode_on,
564	qstep=qstep,
565	update_chisqr=update_chisqr)
566
567	def onFit(self):
568	"""
569	perform fit
570	"""
571	## count the number of fitproblem schedule to fit
572	fitproblem_count = 0
573	for value in self.page_finder.values():
574	if value.get_scheduled() == 1:
575	fitproblem_count += 1
576
577	## if simultaneous fit change automatically the engine to park
578	if fitproblem_count > 1:
579	self._on_change_engine(engine='park')
580
581	self.fitproblem_count = fitproblem_count
582
583	from sans.fit.Fitting import Fit
584	fitter = Fit(self._fit_engine)
585
586	if self._fit_engine == "park":
587	engineType = "Simultaneous Fit"
588	else:
589	engineType = "Single Fit"
590
591	fproblemId = 0
592	self.current_pg = None
593	list_page_id = []
594	for page_id, value in self.page_finder.iteritems():
595	try:
596	if value.get_scheduled() == 1:
597	#Get list of parameters name to fit
598	pars = []
599	templist = []
600
601	page = self.fit_panel.get_page_by_id(page_id)
602	templist = page.get_param_list()
603	# missing fit parameters
604	#if not templist:
605	# return
606	# have the list
607	for element in templist:
608	name = str(element[1])
609	pars.append(name)
610	#Set Engine (model , data) related to the page on
611	self._fit_helper(value=value, pars=pars,
612	fitter=fitter,
613	fitproblem_id=fproblemId,
614	title=engineType)
615	list_page_id.append(page_id)
616	fproblemId += 1
617	current_page_id = page_id
618	except:
619	#raise
620	msg= "%s error: %s" % (engineType, sys.exc_value)
621	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
622	type="stop"))
623	return
624	## If a thread is already started, stop it
625	#if self.calc_fit!= None and self.calc_fit.isrunning():
626	# self.calc_fit.stop()
627	#Handler used for park engine displayed message
628	handler = ConsoleUpdate(parent=self.parent,
629	manager=self,
630	improvement_delta=0.1)
631
632	## perform single fit
633	if fitproblem_count == 1:
634	calc_fit = FitThread(handler = handler,
635	fn=fitter,
636	pars=pars,
637	page_id=list_page_id,
638	completefn=self._single_fit_completed,
639	ftol=self.ftol)
640	else:
641	current_page_id = self.sim_page.uid
642	## Perform more than 1 fit at the time
643	calc_fit = FitThread(handler=handler,
644	fn=fitter,
645	page_id=list_page_id,
646	updatefn=handler.update_fit,
647	completefn=self._simul_fit_completed,
648	ftol=self.ftol)
649	self.fit_thread_list[current_page_id] = calc_fit
650	calc_fit.queue()
651	msg = "Fitting is in progress..."
652	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
653
654	self.ready_fit(calc_fit=calc_fit)
655
656
657	def ready_fit(self, calc_fit):
658	"""
659	Ready for another fit
660	"""
661	if self.fitproblem_count != None and self.fitproblem_count > 1:
662	calc_fit.ready(2.5)
663
664	else:
665	time.sleep(0.4)
666
667	def remove_plot(self, uid, theory=False):
668	"""
669	remove model plot when a fit page is closed
670	"""
671	fitproblem = self.page_finder[uid]
672	data = fitproblem.get_fit_data()
673	model = fitproblem.get_model()
674	plot_id = None
675	if model is not None:
676	plot_id = data.id + name
677	if theory:
678	plot_id = data.id
679	group_id = data.group_id
680	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
681	group_id=group_id,
682	action='remove'))
683
684	def store_data(self, uid, data=None, caption=None):
685	"""
686	Helper to save page reference into the plug-in
687
688	:param page: page to store
689
690	"""
691	#create a fitproblem storing all link to data,model,page creation
692	if not uid in self.page_finder.keys():
693	self.page_finder[uid] = FitProblem()
694	self.page_finder[uid].set_fit_data(data)
695	self.page_finder[uid].set_fit_tab_caption(caption)
696
697	def on_add_new_page(self, event=None):
698	"""
699	ask fit panel to create a new empty page
700	"""
701	try:
702	page = self.fit_panel.add_empty_page()
703	page_caption = page.window_name
704	# add data associated to the page created
705	if page != None:
706	self.store_data(uid=page.uid, caption=page_caption,
707	data=page.get_data())
708	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
709	info="info"))
710	else:
711	msg = "Page was already Created"
712	wx.PostEvent(self.parent, StatusEvent(status=msg,
713	info="warning"))
714	self.set_top_panel()
715	except:
716	raise
717	#msg = "Creating Fit page: %s"%sys.exc_value
718	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
719
720
721	def add_fit_page(self, data):
722	"""
723	given a data, ask to the fitting panel to create a new fitting page,
724	get this page and store it into the page_finder of this plug-in
725	"""
726	page = self.fit_panel.set_data(data)
727	page_caption = page.window_name
728	#append Data1D to the panel containing its theory
729	#if theory already plotted
730	if page.uid in self.page_finder:
731	theory_data = self.page_finder[page.uid].get_theory_data()
732	if issubclass(data.__class__, Data2D):
733	data.group_id = wx.NewId()
734	if theory_data is not None:
735	group_id = str(page.uid) + " Model1D"
736	wx.PostEvent(self.parent,
737	NewPlotEvent(group_id=group_id,
738	action="delete"))
739	self.parent.update_data(prev_data=theory_data, new_data=data)
740	else:
741	if theory_data is not None:
742	group_id = str(page.uid) + " Model2D"
743	data.group_id = theory_data.group_id
744	wx.PostEvent(self.parent,
745	NewPlotEvent(group_id=group_id,
746	action="delete"))
747	self.parent.update_data(prev_data=theory_data, new_data=data)
748
749	self.store_data(uid=page.uid, data=data, caption=page.window_name)
750	if self.sim_page is not None:
751	self.sim_page.draw_page()
752	return page
753
754	def _onEVT_SLICER_PANEL(self, event):
755	"""
756	receive and event telling to update a panel with a name starting with
757	event.panel_name. this method update slicer panel for a given interactor.
758
759	:param event: contains type of slicer , paramaters for updating the panel
760	and panel_name to find the slicer 's panel concerned.
761	"""
762	for item in self.parent.panels:
763	if self.parent.panels[item].window_caption.startswith(event.panel_name):
764	self.parent.panels[item].set_slicer(event.type, event.params)
765
766	self.parent._mgr.Update()
767
768	def _closed_fitpage(self, event):
769	"""
770	request fitpanel to close a given page when its unique data is removed
771	from the plot. close fitpage only when the a loaded data is removed
772	"""
773	if event is None or event.data is None:
774	return
775	if hasattr(event.data,"is_data"):
776	if not event.data.is_data or \
777	event.data.__class__.__name__ == "Data1D":
778	self.fit_panel.close_page_with_data(event.data)
779
780	def _add_page_onmenu(self, name, fitproblem=None):
781	"""
782	Add name of a closed page of fitpanel in a menu
783	"""
784	list = self.menu1.GetMenuItems()
785	for item in list:
786	if name == item.GetItemLabel():
787	self.closed_page_dict[name][1] = fitproblem
788
789	if not name in self.closed_page_dict.keys():
790	# Post paramters
791	event_id = wx.NewId()
792	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
793	self.closed_page_dict[name]= [event_id, fitproblem]
794	wx.EVT_MENU(self.parent, event_id, self._open_closed_page)
795
796	def _open_closed_page(self, event):
797	"""
798	reopen a closed page
799	"""
800	for name, value in self.closed_page_dict.iteritems():
801	if event.GetId() in value:
802	uid,fitproblem = value
803	if name !="Model":
804	data= fitproblem.get_fit_data()
805	page = self.fit_panel.add_fit_page(data=data, reset=True)
806	if fitproblem != None:
807	self.page_finder[uid] = fitproblem
808	if self.sim_page != None:
809	self.sim_page.draw_page()
810
811	else:
812	model = fitproblem
813	self.fit_panel.add_model_page(model=model, topmenu=True,
814	reset= True)
815	break
816
817	def _reset_schedule_problem(self, value=0):
818	"""
819	unschedule or schedule all fitproblem to be fit
820	"""
821	for page_id in self.page_finder.keys():
822	self.page_finder[page_id].schedule_tofit(value)
823
824	def _fit_helper(self, pars, value, fitproblem_id,fitter, title="Single Fit " ):
825	"""
826	helper for fitting
827	"""
828	metadata = value.get_fit_data()
829	model = value.get_model()
830	smearer = value.get_smearer()
831	qmin, qmax = value.get_range()
832	self.fit_id = fitproblem_id
833	#Create list of parameters for fitting used
834	templist = []
835
836	try:
837	#Extra list of parameters and their constraints
838	listOfConstraint = []
839
840	param = value.get_model_param()
841	if len(param) > 0:
842	for item in param:
843	## check if constraint
844	if item[0] != None and item[1] != None:
845	listOfConstraint.append((item[0],item[1]))
846
847	#Do the single fit
848	fitter.set_model(model, self.fit_id,
849	pars, constraints=listOfConstraint)
850
851	fitter.set_data(data=metadata, id=self.fit_id,
852	smearer=smearer, qmin=qmin, qmax=qmax)
853
854	fitter.select_problem_for_fit(id=self.fit_id,
855	value=value.get_scheduled())
856	value.clear_model_param()
857	except:
858	raise
859	#msg = title + " error: %s" % sys.exc_value
860	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
861
862	def _onSelect(self,event):
863	"""
864	when Select data to fit a new page is created .Its reference is
865	added to self.page_finder
866	"""
867	self.panel = event.GetEventObject()
868	Plugin.on_perspective(self, event=event)
869	for plottable in self.panel.graph.plottables:
870	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
871	data_id = self.panel.graph.selected_plottable
872	if plottable == self.panel.plots[data_id]:
873	data = plottable
874	self.add_fit_page(data=data)
875	return
876	else:
877	data = plottable
878	self.add_fit_page(data=data)
879	self.set_top_panel()
880
881	def update_fit(self, result=None, msg=""):
882	"""
883	"""
884	print "update_fit result", result
885
886	def _single_fit_completed(self, result, pars, page_id, elapsed=None):
887	"""
888	Display fit result on one page of the notebook.
889
890	:param result: result of fit
891	:param pars: list of names of parameters fitted
892	:param current_pg: the page where information will be displayed
893	:param qmin: the minimum value of x to replot the model
894	:param qmax: the maximum value of x to replot model
895
896	"""
897	try:
898	if result == None:
899	msg= "Single Fitting did not converge!!!"
900	wx.PostEvent(self.parent,
901	StatusEvent(status=msg,
902	info="warning",
903	type="stop"))
904	return
905	if not numpy.isfinite(result.fitness) or \
906	numpy.any(result.pvec == None) or \
907	not numpy.all(numpy.isfinite(result.pvec)):
908	msg = "Single Fitting did not converge!!!"
909	wx.PostEvent(self.parent,
910	StatusEvent(status=msg,
911	info="warning",
912	type="stop"))
913	return
914	for uid in page_id:
915	value = self.page_finder[uid]
916	model = value.get_model()
917	page_id = uid
918
919	param_name = []
920	for name in pars:
921	param_name.append(name)
922
923	cpage = self.fit_panel.get_page_by_id(uid)
924	cpage.onsetValues(result.fitness,
925	param_name, result.pvec,result.stderr)
926	cpage._on_fit_complete()
927
928	except ValueError:
929	msg = "Single Fitting did not converge!!!"
930	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
931	type="stop"))
932	return
933	except:
934	raise
935	#msg = "Single Fit completed but Following"
936	#msg += " error occurred:%s" % sys.exc_value
937	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
938	# type="stop"))
939	return
940
941	def _simul_fit_completed(self, result, page_id,pars=None, elapsed=None):
942	"""
943	Parameter estimation completed,
944	display the results to the user
945
946	:param alpha: estimated best alpha
947	:param elapsed: computation time
948
949	"""
950	if page_id is None:
951	page_id = []
952	## fit more than 1 model at the same time
953	try:
954	msg = ""
955	if result == None:
956	msg= "Complex Fitting did not converge!!!"
957	wx.PostEvent(self.parent, StatusEvent(status=msg,
958	type="stop"))
959	return
960	if not numpy.isfinite(result.fitness) or \
961	numpy.any(result.pvec == None) or not \
962	numpy.all(numpy.isfinite(result.pvec)):
963	msg= "Simultaneous Fitting did not converge!!!"
964	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
965	return
966
967	for uid in page_id:
968	value = self.page_finder[uid]
969	model = value.get_model()
970	data = value.get_fit_data()
971	small_param_name = []
972	small_out = []
973	small_cov = []
974	#Separate result in to data corresponding to each page
975	for p in result.parameters:
976	model_name, param_name = self.split_string(p.name)
977	if model.name == model_name:
978	p_name= model.name+"."+param_name
979	if p.name == p_name:
980	if p.value != None and numpy.isfinite(p.value):
981	small_out.append(p.value)
982	small_param_name.append(param_name)
983	small_cov.append(p.stderr)
984	# Display result on each page
985	cpage = self.fit_panel.get_page_by_id(uid)
986	cpage.onsetValues(result.fitness,
987	small_param_name,
988	small_out,small_cov)
989	cpage._on_fit_complete()
990
991	except Exception:
992	msg = "Complex Fitting did not converge!!!"
993	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
994	type="stop"))
995	return
996
997	except:
998	msg = "Simultaneous Fit completed"
999	msg += " but Following error occurred:%s" % sys.exc_value
1000	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1001
1002	def _on_show_panel(self, event):
1003	"""
1004	"""
1005	pass
1006
1007	def _onset_engine_park(self,event):
1008	"""
1009	set engine to park
1010	"""
1011	self._on_change_engine('park')
1012
1013	def _onset_engine_scipy(self,event):
1014	"""
1015	set engine to scipy
1016	"""
1017	self._on_change_engine('scipy')
1018
1019	def _on_slicer_event(self, event):
1020	"""
1021	Receive a panel as event and send it to guiframe
1022
1023	:param event: event containing a panel
1024
1025	"""
1026	if event.panel is not None:
1027	new_panel = event.panel
1028	self.slicer_panels.append(event.panel)
1029	# Set group ID if available
1030	event_id = self.parent.popup_panel(new_panel)
1031	#self.menu3.Append(event_id, new_panel.window_caption,
1032	# "Show %s plot panel" % new_panel.window_caption)
1033	# Set id to allow us to reference the panel later
1034
1035	new_panel.uid = event_id
1036	self.mypanels.append(new_panel)
1037
1038	def _onclearslicer(self, event):
1039	"""
1040	Clear the boxslicer when close the panel associate with this slicer
1041	"""
1042	name =event.GetPane().caption
1043
1044	for panel in self.slicer_panels:
1045	if panel.window_caption==name:
1046
1047	for item in self.parent.panels:
1048	if hasattr(self.parent.panels[item],"uid"):
1049	if self.parent.panels[item].uid ==panel.base.uid:
1050	self.parent.panels[item].onClearSlicer(event)
1051	self.parent._mgr.Update()
1052	break
1053	break
1054
1055	def _return_engine_type(self):
1056	"""
1057	return the current type of engine
1058	"""
1059	return self._fit_engine
1060
1061
1062	def _on_change_engine(self, engine='park'):
1063	"""
1064	Allow to select the type of engine to perform fit
1065
1066	:param engine: the key work of the engine
1067
1068	"""
1069	## saving fit engine name
1070	self._fit_engine = engine
1071	## change menu item state
1072	if engine=="park":
1073	self.menu1.FindItemById(self.park_id).Check(True)
1074	self.menu1.FindItemById(self.scipy_id).Check(False)
1075	else:
1076	self.menu1.FindItemById(self.park_id).Check(False)
1077	self.menu1.FindItemById(self.scipy_id).Check(True)
1078	## post a message to status bar
1079	msg = "Engine set to: %s" % self._fit_engine
1080	wx.PostEvent(self.parent,
1081	StatusEvent(status=msg))
1082	## send the current engine type to fitpanel
1083	self.fit_panel._on_engine_change(name=self._fit_engine)
1084
1085	def _on_model_panel(self, evt):
1086	"""
1087	react to model selection on any combo box or model menu.plot the model
1088
1089	:param evt: wx.combobox event
1090
1091	"""
1092	model = evt.model
1093	uid = evt.uid
1094	qmin = evt.qmin
1095	qmax = evt.qmax
1096	smearer = evt.smearer
1097
1098	if model == None:
1099	return
1100
1101	if self.page_finder[uid].get_model() is None:
1102	model.name = "M" + str(self.index_model)
1103	self.index_model += 1
1104	else:
1105	model.name = self.page_finder[uid].get_model().name
1106	# save the name containing the data name with the appropriate model
1107	self.page_finder[uid].set_model(model)
1108	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1109	if self.sim_page is not None:
1110	self.sim_page.draw_page()
1111
1112	def _update1D(self,x, output):
1113	"""
1114	Update the output of plotting model 1D
1115	"""
1116	msg = "Plot updating ... "
1117	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
1118	self.ready_fit()
1119
1120
1121	def _fill_default_model2D(self, theory, page_id, qmax,qstep, qmin=None):
1122	"""
1123	fill Data2D with default value
1124
1125	:param theory: Data2D to fill
1126
1127	"""
1128	from DataLoader.data_info import Detector, Source
1129
1130	detector = Detector()
1131	theory.detector.append(detector)
1132	theory.source= Source()
1133
1134	## Default values
1135	theory.detector[0].distance= 8000 # mm
1136	theory.source.wavelength= 6 # A
1137	theory.detector[0].pixel_size.x= 5 # mm
1138	theory.detector[0].pixel_size.y= 5 # mm
1139
1140	theory.detector[0].beam_center.x= qmax
1141	theory.detector[0].beam_center.y= qmax
1142
1143	## create x_bins and y_bins of the model 2D
1144	pixel_width_x = theory.detector[0].pixel_size.x
1145	pixel_width_y = theory.detector[0].pixel_size.y
1146	center_x = theory.detector[0].beam_center.x/pixel_width_x
1147	center_y = theory.detector[0].beam_center.y/pixel_width_y
1148
1149	# theory default: assume the beam
1150	#center is located at the center of sqr detector
1151	xmax = qmax
1152	xmin = -qmax
1153	ymax = qmax
1154	ymin = -qmax
1155
1156	x= numpy.linspace(start= -1*qmax,
1157	stop=qmax,
1158	num=qstep,
1159	endpoint=True)
1160	y = numpy.linspace(start=-1*qmax,
1161	stop= qmax,
1162	num= qstep,
1163	endpoint=True)
1164
1165	## use data info instead
1166	new_x = numpy.tile(x, (len(y),1))
1167	new_y = numpy.tile(y, (len(x),1))
1168	new_y = new_y.swapaxes(0,1)
1169
1170	# all data reuire now in 1d array
1171	qx_data = new_x.flatten()
1172	qy_data = new_y.flatten()
1173
1174	q_data = numpy.sqrt(qx_dataqx_data+qy_dataqy_data)
1175	# set all True (standing for unmasked) as default
1176	mask = numpy.ones(len(qx_data), dtype = bool)
1177
1178	# calculate the range of qx and qy: this way,
1179	# it is a little more independent
1180	x_size = xmax- xmin
1181	y_size = ymax -ymin
1182
1183	# store x and y bin centers in q space
1184	x_bins = x
1185	y_bins = y
1186	# bin size: x- & y-directions
1187	xstep = x_size/len(x_bins-1)
1188	ystep = y_size/len(y_bins-1)
1189
1190	#theory.data = numpy.zeros(len(mask))
1191	theory.err_data = numpy.ones(len(mask))
1192	theory.qx_data = qx_data
1193	theory.qy_data = qy_data
1194	theory.q_data = q_data
1195	theory.mask = mask
1196	theory.x_bins = x_bins
1197	theory.y_bins = y_bins
1198
1199	# max and min taking account of the bin sizes
1200	theory.xmin = xmin
1201	theory.xmax = xmax
1202	theory.ymin = ymin
1203	theory.ymax = ymax
1204	theory.group_id = str(page_id) + " Model2D"
1205	theory.id = str(page_id) + " Model2D"
1206
1207	def _complete1D(self, x,y, page_id, elapsed,index,model,
1208	toggle_mode_on=False,state=None,
1209	data=None, update_chisqr=True):
1210	"""
1211	Complete plotting 1D data
1212	"""
1213	try:
1214	new_plot = Data1D(x=x, y=y)
1215	new_plot.is_data = False
1216	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1217	if data != None:
1218	_xaxis, _xunit = data.get_xaxis()
1219	_yaxis, _yunit = data.get_yaxis()
1220	new_plot.title = data.name
1221	#if the theory is already plotted use the same group id
1222	#to replot
1223	if page_id in self.page_finder:
1224	theory_data = self.page_finder[page_id].get_theory_data()
1225	if theory_data is not None:
1226	data.group_id = theory_data.group_id
1227	#data is plotted before the theory, then take its group_id
1228	#assign to the new theory
1229	new_plot.group_id = data.group_id
1230
1231	else:
1232	_xaxis, _xunit = "\\rm{Q}", 'A^{-1}'
1233	_yaxis, _yunit = "\\rm{Intensity} ", "cm^{-1}"
1234	new_plot.title = "Analytical model 1D "
1235	#find a group id to plot theory without data
1236	new_plot.group_id = str(page_id) + " Model1D"
1237	new_plot.id = str(page_id) + " Model1D"
1238
1239	#find if this theory was already plotted and replace that plot given
1240	#the same id
1241
1242	theory_data = self.page_finder[page_id].get_theory_data()
1243	if theory_data is not None:
1244	new_plot.id = theory_data.id
1245
1246	new_plot.name = model.name + " ["+ str(model.__class__.__name__)+ "]"
1247	new_plot.xaxis(_xaxis, _xunit)
1248	new_plot.yaxis(_yaxis, _yunit)
1249	if toggle_mode_on:
1250	new_plot.id = str(page_id) + " Model"
1251	wx.PostEvent(self.parent,
1252	NewPlotEvent(group_id=str(page_id) + " Model2D",
1253	action="Hide"))
1254
1255	self.page_finder[page_id].set_theory_data(new_plot)
1256	if data is None:
1257	data_id = None
1258	else:
1259	data_id = data.id
1260	self.parent.update_theory(data_id=data_id,
1261	theory=new_plot,
1262	state=state)
1263	current_pg = self.fit_panel.get_page_by_id(page_id)
1264	title = new_plot.title
1265	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1266	title= str(title)))
1267
1268	self.page_finder[page_id].set_theory_data(new_plot)
1269
1270	if update_chisqr:
1271	wx.PostEvent(current_pg,
1272	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1273	page_id=page_id,
1274	index=index)))
1275	else:
1276	self._plot_residuals(page_id, data, index)
1277
1278	msg = "Plot 1D complete !"
1279	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1280	#self.current_pg.state.theory_data = deepcopy(self.theory_data)
1281	except:
1282	raise
1283	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
1284	#msg += " %s" % sys.exc_value
1285	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1286
1287	def _update2D(self, output,time=None):
1288	"""
1289	Update the output of plotting model
1290	"""
1291	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1292	#updating ... ", type="update"))
1293	self.ready_fit()
1294
1295	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1296	qmax, toggle_mode_on=False,state=None,qstep=DEFAULT_NPTS,
1297	update_chisqr=True):
1298	"""
1299	Complete get the result of modelthread and create model 2D
1300	that can be plot.
1301	"""
1302	err_image = numpy.zeros(numpy.shape(image))
1303
1304	new_plot= Data2D(image=image, err_image=err_image)
1305	new_plot.name = model.name
1306	new_plot.title = "Analytical model 2D "
1307	if data is None:
1308	self._fill_default_model2D(theory=new_plot,
1309	qmax=qmax,
1310	page_id=page_id,
1311	qstep=qstep,
1312	qmin= qmin)
1313
1314	else:
1315	new_plot.id = str(page_id) + " Model2D"
1316	new_plot.group_id = str(page_id) + " Model2D"
1317	new_plot.x_bins = data.x_bins
1318	new_plot.y_bins = data.y_bins
1319	new_plot.detector = data.detector
1320	new_plot.source = data.source
1321	new_plot.is_data = False
1322	new_plot.qx_data = data.qx_data
1323	new_plot.qy_data = data.qy_data
1324	new_plot.q_data = data.q_data
1325	#numpy.zeros(len(data.err_data))#data.err_data
1326	new_plot.err_data = err_image
1327	new_plot.mask = data.mask
1328	## plot boundaries
1329	new_plot.ymin = data.ymin
1330	new_plot.ymax = data.ymax
1331	new_plot.xmin = data.xmin
1332	new_plot.xmax = data.xmax
1333	title = data.title
1334	if len(title) > 1:
1335	new_plot.title = "Model2D for " + data.name
1336	new_plot.is_data = False
1337	new_plot.name = model.name + " ["+ str(model.__class__.__name__)+ "]"
1338
1339	theory_data = deepcopy(new_plot)
1340	theory_data.name = "Unknown"
1341	if toggle_mode_on:
1342	new_plot.id = str(page_id) + " Model"
1343	wx.PostEvent(self.parent,
1344	NewPlotEvent(group_id=str(page_id) + " Model1D",
1345	action="Hide"))
1346
1347	self.page_finder[page_id].set_theory_data(new_plot)
1348	if data is None:
1349	data_id = None
1350	else:
1351	data_id = data.id
1352	self.parent.update_theory(data_id=data_id,
1353	theory=new_plot,
1354	state=state)
1355	current_pg = self.fit_panel.get_page_by_id(page_id)
1356	title = new_plot.title
1357
1358	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1359	title=title))
1360	self.page_finder[page_id].set_theory_data(new_plot)
1361	# Chisqr in fitpage
1362	if update_chisqr:
1363	wx.PostEvent(current_pg,
1364	Chi2UpdateEvent(output=\
1365	self._cal_chisqr(data=data,
1366	page_id=page_id,
1367	index=index)))
1368	else:
1369	self._plot_residuals(page_id, data, index)
1370	msg = "Plot 2D complete !"
1371	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1372
1373	def _draw_model2D(self, model, page_id, data=None, smearer=None,
1374	description=None, enable2D=False,
1375	state=None,
1376	toggle_mode_on=False,
1377	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
1378	qstep=DEFAULT_NPTS,
1379	update_chisqr=True):
1380	"""
1381	draw model in 2D
1382
1383	:param model: instance of the model to draw
1384	:param description: the description of the model
1385	:param enable2D: when True allows to draw model 2D
1386	:param qmin: the minimum value to draw model 2D
1387	:param qmax: the maximum value to draw model 2D
1388	:param qstep: the number of division of Qx and Qy of the model to draw
1389
1390	"""
1391	x= numpy.linspace(start=-1*qmax,
1392	stop=qmax,
1393	num=qstep,
1394	endpoint=True)
1395	y = numpy.linspace(start= -1*qmax,
1396	stop=qmax,
1397	num=qstep,
1398	endpoint=True)
1399	if model is None:
1400	msg = "Panel with ID: %s does not contained model" % str(page_id)
1401	raise ValueError, msg
1402	## use data info instead
1403	if data is not None:
1404	## check if data2D to plot
1405	if hasattr(data, "x_bins"):
1406	enable2D = True
1407	x = data.x_bins
1408	y = data.y_bins
1409
1410	if not enable2D:
1411	return None, None
1412	try:
1413	from model_thread import Calc2D
1414	## If a thread is already started, stop it
1415	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1416	self.calc_2D.stop()
1417	self.calc_2D = Calc2D(x=x,
1418	y=y,
1419	model=model,
1420	data=data,
1421	page_id=page_id,
1422	smearer=smearer,
1423	qmin=qmin,
1424	qmax=qmax,
1425	qstep=qstep,
1426	toggle_mode_on=toggle_mode_on,
1427	state=state,
1428	completefn=self._complete2D,
1429	#updatefn= self._update2D,
1430	update_chisqr=update_chisqr)
1431
1432	self.calc_2D.queue()
1433
1434	except:
1435	raise
1436	#msg = " Error occurred when drawing %s Model 2D: " % model.name
1437	#msg += " %s" % sys.exc_value
1438	#wx.PostEvent(self.parent, StatusEvent(status=msg))
1439
1440	def _draw_model1D(self, model, page_id, data=None, smearer=None,
1441	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
1442	state=None,
1443	toggle_mode_on=False,
1444	qstep=DEFAULT_NPTS, update_chisqr=True,
1445	enable1D=True):
1446	"""
1447	Draw model 1D from loaded data1D
1448
1449	:param data: loaded data
1450	:param model: the model to plot
1451
1452	"""
1453	x= numpy.linspace(start=qmin,
1454	stop=qmax,
1455	num=qstep,
1456	endpoint=True
1457	)
1458	if data is not None:
1459	## check for data2D
1460	if hasattr(data,"x_bins"):
1461	return
1462	x = data.x
1463	if qmin == None :
1464	qmin == DEFAULT_QMIN
1465
1466	if qmax == None:
1467	qmax == DEFAULT_QMAX
1468	if not enable1D:
1469	return
1470	try:
1471	from model_thread import Calc1D
1472	## If a thread is already started, stop it
1473	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1474	self.calc_1D.stop()
1475	self.calc_1D = Calc1D(x=x,
1476	data=data,
1477	model=model,
1478	page_id=page_id,
1479	qmin=qmin,
1480	qmax=qmax,
1481	smearer=smearer,
1482	state=state,
1483	toggle_mode_on=toggle_mode_on,
1484	completefn=self._complete1D,
1485	#updatefn = self._update1D,
1486	update_chisqr=update_chisqr)
1487
1488	self.calc_1D.queue()
1489
1490	except:
1491	msg = " Error occurred when drawing %s Model 1D: " % model.name
1492	msg += " %s" % sys.exc_value
1493	wx.PostEvent(self.parent, StatusEvent(status=msg))
1494
1495	def _cal_chisqr(self, page_id, data=None, index=None):
1496	"""
1497	Get handy Chisqr using the output from draw1D and 2D,
1498	instead of calling expansive CalcChisqr in guithread
1499	"""
1500	# default chisqr
1501	chisqr = None
1502
1503	# return None if data == None
1504	if data == None: return chisqr
1505
1506	# Get data: data I, theory I, and data dI in order
1507	if data.__class__.__name__ == "Data2D":
1508	if index == None:
1509	index = numpy.ones(len(data.data),ntype=bool)
1510	# get rid of zero error points
1511	index = index & (data.err_data != 0 )
1512	index = index & (numpy.isfinite(data.data))
1513	fn = data.data[index]
1514	theory_data = self.page_finder[page_id].get_theory_data()
1515	gn = theory_data.data[index]
1516	en = data.err_data[index]
1517	else:
1518	# 1 d theory from model_thread is only in the range of index
1519	if index == None:
1520	index = numpy.ones(len(data.y), ntype=bool)
1521	if data.dy == None or data.dy == []:
1522	dy = numpy.ones(len(data.y))
1523	else:
1524	## Set consitently w/AbstractFitengine:
1525	# But this should be corrected later.
1526	dy = deepcopy(data.dy)
1527	dy[dy==0] = 1
1528	fn = data.y[index]
1529	theory_data = self.page_finder[page_id].get_theory_data()
1530	gn = theory_data.y
1531	en = dy[index]
1532
1533	# residual
1534	res = (fn - gn) / en
1535	residuals = res[numpy.isfinite(res)]
1536	# get chisqr only w/finite
1537	chisqr = numpy.average(residuals * residuals)
1538
1539	self._plot_residuals(page_id, data, index)
1540	return chisqr
1541
1542
1543
1544	def _plot_residuals(self, page_id, data=None, index=None):
1545	"""
1546	Plot the residuals
1547
1548	:param data: data
1549	:param index: index array (bool)
1550	: Note: this is different from the residuals in cal_chisqr()
1551	"""
1552	if data == None:
1553	return
1554
1555	# Get data: data I, theory I, and data dI in order
1556	if data.__class__.__name__ == "Data2D":
1557	# build residuals
1558	#print data
1559	residuals = Data2D()
1560	#residuals.copy_from_datainfo(data)
1561	# Not for trunk the line below, instead use the line above
1562	data.clone_without_data(len(data.data), residuals)
1563	residuals.data = None
1564	fn = data.data#[index]
1565	theory_data = self.page_finder[page_id].get_theory_data()
1566	gn = theory_data.data#[index]
1567	en = data.err_data#[index]
1568	residuals.data = (fn - gn) / en
1569	residuals.qx_data = data.qx_data#[index]
1570	residuals.qy_data = data.qy_data #[index]
1571	residuals.q_data = data.q_data#[index]
1572	residuals.err_data = numpy.ones(len(residuals.data))#[index]
1573	residuals.xmin = min(residuals.qx_data)
1574	residuals.xmax = max(residuals.qx_data)
1575	residuals.ymin = min(residuals.qy_data)
1576	residuals.ymax = max(residuals.qy_data)
1577	residuals.q_data = data.q_data#[index]
1578	residuals.mask = data.mask
1579	residuals.scale = 'linear'
1580	#print "print data",residuals
1581	# check the lengths
1582	if len(residuals.data) != len(residuals.q_data):
1583	return
1584
1585	else:
1586	# 1 d theory from model_thread is only in the range of index
1587	if data.dy == None or data.dy == []:
1588	dy = numpy.ones(len(data.y))
1589	else:
1590	## Set consitently w/AbstractFitengine:
1591	## But this should be corrected later.
1592	dy = deepcopy(data.dy)
1593	dy[dy==0] = 1
1594	fn = data.y[index]
1595	theory_data = self.page_finder[page_id].get_theory_data()
1596	gn = theory_data.y
1597	en = dy[index]
1598	# build residuals
1599	residuals = Data1D()
1600	residuals.y = (fn - gn) / en
1601	residuals.x = data.x[index]
1602	residuals.dy = numpy.ones(len(residuals.y))
1603	residuals.dx = None
1604	residuals.dxl = None
1605	residuals.dxw = None
1606	residuals.ytransform = 'y'
1607	# For latter scale changes
1608	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
1609	residuals.yaxis('\\rm{Residuals} ', 'normalized')
1610
1611	new_plot = residuals
1612	if data.id == None:
1613	data.id = data.name
1614	name = data.id
1615	new_plot.name = "Residuals for " + str(data.name)
1616	## allow to highlight data when plotted
1617	new_plot.interactive = True
1618	## when 2 data have the same id override the 1 st plotted
1619	new_plot.id = new_plot.name#name + " residuals"
1620	##group_id specify on which panel to plot this data
1621	new_plot.group_id = new_plot.id
1622	#new_plot.is_data = True
1623	##post data to plot
1624	title = new_plot.name
1625
1626	# plot data
1627	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
1628
1629	#def profile(fn, args, *kw):
1630	# import cProfile, pstats, os
1631	# global call_result
1632	# def call():
1633	# global call_result
1634	# call_result = fn(args, *kw)
1635	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1636	# stats = pstats.Stats('profile.out')
1637	# #stats.sort_stats('time')
1638	# stats.sort_stats('calls')
1639	# stats.print_stats()
1640	# os.unlink('profile.out')
1641	# return call_result
1642	if __name__ == "__main__":
1643	i = Plugin()
1644
1645
1646
1647

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 31f9c172

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