fitting.py @ b92cbf61

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 b92cbf61 was b92cbf61, checked in by Gervaise Alina <gervyh@…>, 13 years ago
remove data from plot not closing fit tab
Property mode set to `100644`
File size: 63.7 KB

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

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ b92cbf61

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