fitting.py @ 202a7dc3

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 202a7dc3 was 202a7dc3, checked in by Gervaise Alina <gervyh@…>, 16 years ago
statusbar message added
Property mode set to `100644`
File size: 37.2 KB

Rev	Line
[d89f09b]	1	import os,os.path, re
	2	import sys, wx, logging
[0550752]	3	import string, numpy, math
[d89f09b]	4
[3b19ac9]	5	from copy import deepcopy
[dc317d1]	6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
[6f73a08]	7	from danse.common.plottools.PlotPanel import PlotPanel
[d89f09b]	8	from sans.guicomm.events import NewPlotEvent, StatusEvent
[32d802f]	9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL
[568e1a5]	10
[6f73a08]	11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
[d89f09b]	12	from fitproblem import FitProblem
	13	from fitpanel import FitPanel
[e9b4cc4]	14	from fit_thread import FitThread
[2dbb681]	15	import models,modelpage
[8566c05]	16	import fitpage1D
[dabb633]	17	import park
[d250f7d]	18	DEFAULT_BEAM = 0.005
[cfc68540]	19	DEFAULT_QMIN = 0.0
[fd25fb0]	20	DEFAULT_QMAX = 0.1
[7b758fd]	21	DEFAULT_NPTS = 50
[e9b4cc4]	22	import time
	23	import thread
	24	print "main",thread.get_ident()
	25
[d89f09b]	26	class Plugin:
	27	"""
[dabb633]	28	Fitting plugin is used to perform fit
[d89f09b]	29	"""
	30	def __init__(self):
	31	## Plug-in name
	32	self.sub_menu = "Fitting"
	33
	34	## Reference to the parent window
	35	self.parent = None
	36	self.menu_mng = models.ModelManager()
	37	## List of panels for the simulation perspective (names)
	38	self.perspective = []
[568e1a5]	39	self.mypanels=[]
[e9b4cc4]	40	self.calc_thread = None
	41	self.done = False
[d89f09b]	42	# Start with a good default
	43	self.elapsed = 0.022
	44	self.fitter = None
	45
	46	#Flag to let the plug-in know that it is running standalone
	47	self.standalone=True
	48	## Fit engine
[3b19ac9]	49	self._fit_engine = 'scipy'
[b2c3225]	50	self.enable_model2D=False
[202a7dc3]	51	self.fit_id= 0
[d89f09b]	52	# Log startup
	53	logging.info("Fitting plug-in started")
[32d802f]	54	# model 2D view
	55	self.model2D_id=None
[d89f09b]	56
	57	def populate_menu(self, id, owner):
	58	"""
	59	Create a menu for the Fitting plug-in
	60	@param id: id to create a menu
	61	@param owner: owner of menu
	62	@ return : list of information to populate the main menu
	63	"""
[32d802f]	64	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
[d89f09b]	65	#Menu for fitting
	66	self.menu1 = wx.Menu()
	67	id1 = wx.NewId()
	68	self.menu1.Append(id1, '&Show fit panel')
	69	wx.EVT_MENU(owner, id1, self.on_perspective)
[3b19ac9]	70	id3 = wx.NewId()
[442895f]	71	self.menu1.AppendCheckItem(id3, "park")
[e5af88b]	72
[3b19ac9]	73	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	74
	75	#menu for model
	76	menu2 = wx.Menu()
[f39511b]	77
[d89f09b]	78	self.menu_mng.populate_menu(menu2, owner)
	79	id2 = wx.NewId()
	80	owner.Bind(models.EVT_MODEL,self._on_model_menu)
[2dbb681]	81	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
[d89f09b]	82	self.fit_panel.set_owner(owner)
	83	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	84	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[8566c05]	85	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
[3b19ac9]	86	#create menubar items
[d89f09b]	87	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	88
	89
	90	def help(self, evt):
	91	"""
	92	Show a general help dialog.
	93	TODO: replace the text with a nice image
	94	"""
[2268d10]	95	#from helpDialog import HelpWindow
	96	#dialog = HelpWindow(None, -1, 'HelpWindow')
	97	#if dialog.ShowModal() == wx.ID_OK:
	98	# pass
	99	#dialog.Destroy()
	100	from helpPanel import HelpWindow
	101	frame = HelpWindow(None, -1, 'HelpWindow')
	102	frame.Show(True)
	103
	104
[d7d143b0]	105
[d89f09b]	106
	107	def get_context_menu(self, graph=None):
	108	"""
	109	Get the context menu items available for P(r)
	110	@param graph: the Graph object to which we attach the context menu
	111	@return: a list of menu items with call-back function
	112	"""
	113	self.graph=graph
	114	for item in graph.plottables:
[693ab78]	115	if item.__class__.__name__ is "Data2D":
[2dbb681]	116	return [["Select data for Fitting",\
	117	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	118	else:
[693ab78]	119	if item.name==graph.selected_plottable and\
	120	item.__class__.__name__ is "Data1D":
[2dbb681]	121	return [["Select data for Fitting", \
	122	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	123	return []
	124
	125
	126	def get_panels(self, parent):
	127	"""
	128	Create and return a list of panel objects
	129	"""
	130	self.parent = parent
	131	# Creation of the fit panel
	132	self.fit_panel = FitPanel(self.parent, -1)
	133	#Set the manager forthe main panel
	134	self.fit_panel.set_manager(self)
	135	# List of windows used for the perspective
	136	self.perspective = []
	137	self.perspective.append(self.fit_panel.window_name)
	138	# take care of saving data, model and page associated with each other
[3b19ac9]	139	self.page_finder = {}
	140	#index number to create random model name
	141	self.index_model = 0
[264df67]	142	self.index_theory= 0
[32673ac]	143	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[888e62c]	144
[32d802f]	145
[3b19ac9]	146	#create the fitting panel
[568e1a5]	147	#return [self.fit_panel]
[32673ac]	148
[568e1a5]	149	self.mypanels.append(self.fit_panel)
	150	return self.mypanels
[888e62c]	151
	152
[32d802f]	153	def _on_model2D_show(self, event ):
	154	print "model2D get the id ", event.id
[888e62c]	155
	156
[568e1a5]	157	def _on_slicer_event(self, event):
[32673ac]	158	print "fitting:slicer event ", event.panel
[888e62c]	159	if event.panel!=None:
	160	new_panel = event.panel
	161	# Set group ID if available
	162	event_id = self.parent.popup_panel(new_panel)
	163	self.menu1.Append(event_id, new_panel.window_caption,
	164	"Show %s plot panel" % new_panel.window_caption)
	165	# Set UID to allow us to reference the panel later
	166	new_panel.uid = event_id
	167	new_panel
	168	self.mypanels.append(new_panel)
[568e1a5]	169	return
[d23544dc]	170	def _on_show_panel(self, event):
	171	print "_on_show_panel: fitting"
[d89f09b]	172
	173	def get_perspective(self):
	174	"""
	175	Get the list of panel names for this perspective
	176	"""
	177	return self.perspective
	178
	179
	180	def on_perspective(self, event):
	181	"""
	182	Call back function for the perspective menu item.
	183	We notify the parent window that the perspective
	184	has changed.
	185	"""
	186	self.parent.set_perspective(self.perspective)
	187
	188
	189	def post_init(self):
	190	"""
	191	Post initialization call back to close the loose ends
	192	[Somehow openGL needs this call]
	193	"""
	194	self.parent.set_perspective(self.perspective)
	195
	196
	197	def _onSelect(self,event):
	198	"""
	199	when Select data to fit a new page is created .Its reference is
	200	added to self.page_finder
	201	"""
	202	self.panel = event.GetEventObject()
	203	for item in self.panel.graph.plottables:
[693ab78]	204	if item.name == self.panel.graph.selected_plottable or\
	205	item.__class__.__name__ is "Data2D":
[3b19ac9]	206	#find a name for the page created for notebook
[d89f09b]	207	try:
[d0eac66]	208
[ef8b580]	209	page = self.fit_panel.add_fit_page(item)
	210	#page, model_name = self.fit_panel.add_fit_page(item)
[3b19ac9]	211	# add data associated to the page created
[d0eac66]	212
	213	if page !=None:
[6f73a08]	214	#create a fitproblem storing all link to data,model,page creation
	215	self.page_finder[page]= FitProblem()
[ef8b580]	216	#self.page_finder[page].save_model_name(model_name)
[bcd6d51]	217	self.page_finder[page].add_data(item)
[d0eac66]	218	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
	219	else:
	220	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
[d89f09b]	221	except:
[d0eac66]	222	#raise
[6f73a08]	223	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	224	%sys.exc_value))
[948add7]	225	def schedule_for_fit(self,value=0,fitproblem =None):
	226	"""
	227
	228	"""
	229	if fitproblem !=None:
	230	fitproblem.schedule_tofit(value)
	231	else:
	232	current_pg=self.fit_panel.get_current_page()
	233	for page, val in self.page_finder.iteritems():
	234	if page ==current_pg :
	235	val.schedule_tofit(value)
	236	break
	237
[d89f09b]	238
	239	def get_page_finder(self):
	240	""" @return self.page_finder used also by simfitpage.py"""
	241	return self.page_finder
	242
	243
[3b19ac9]	244	def set_page_finder(self,modelname,names,values):
[d89f09b]	245	"""
	246	Used by simfitpage.py to reset a parameter given the string constrainst.
	247	@param modelname: the name ot the model for with the parameter has to reset
	248	@param value: can be a string in this case.
[3b19ac9]	249	@param names: the paramter name
[d89f09b]	250	@note: expecting park used for fit.
	251	"""
[39a365d]	252	sim_page=self.fit_panel.GetPage(1)
[d89f09b]	253	for page, value in self.page_finder.iteritems():
	254	if page != sim_page:
	255	list=value.get_model()
	256	model=list[0]
[bcd6d51]	257	#print "fitting",model.name,modelname
[d89f09b]	258	if model.name== modelname:
[3b19ac9]	259	value.set_model_param(names,values)
[d89f09b]	260	break
	261
	262
	263
	264	def split_string(self,item):
	265	"""
[3b19ac9]	266	receive a word containing dot and split it. used to split parameterset
	267	name into model name and parameter name example:
	268	paramaterset (item) = M1.A
	269	@return model_name =M1 , parameter name =A
[d89f09b]	270	"""
	271	if string.find(item,".")!=-1:
	272	param_names= re.split("\.",item)
	273	model_name=param_names[0]
	274	param_name=param_names[1]
	275	return model_name,param_name
	276
[e9b4cc4]	277
[4af20b4]	278	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,
	279	ymin=None, ymax=None, xmin=None, xmax=None):
[d89f09b]	280	"""
[3b19ac9]	281	Display fit result on one page of the notebook.
	282	@param result: result of fit
	283	@param pars: list of names of parameters fitted
	284	@param current_pg: the page where information will be displayed
	285	@param qmin: the minimum value of x to replot the model
	286	@param qmax: the maximum value of x to replot model
[d89f09b]	287
	288	"""
[f343069]	289
[89032bf]	290	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
[f343069]	291	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
	292	complete in %g sec" % elapsed, type="stop"))
[d89f09b]	293	try:
	294	for page, value in self.page_finder.iteritems():
[948add7]	295	if page==cpage :
[6f73a08]	296	#fitdata = value.get_data()
[d89f09b]	297	list = value.get_model()
	298	model= list[0]
	299	break
	300	i = 0
[89032bf]	301	#print "fitting: single fit pars ", pars
[d89f09b]	302	for name in pars:
	303	if result.pvec.__class__==numpy.float64:
[1b07935d]	304	model.setParam(name,result.pvec)
[d89f09b]	305	else:
[1b07935d]	306	model.setParam(name,result.pvec[i])
[442895f]	307	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	308	i += 1
[26bf293]	309	print "fitting result : chisqr",result.fitness
	310	print "fitting result : pvec",result.pvec
	311	print "fitting result : stderr",result.stderr
[4af20b4]	312	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
[442895f]	313
[948add7]	314	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[ef8b580]	315	#title="Fitted model 2D "
[4af20b4]	316	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
	317	ymin=ymin, ymax=ymax,
[ef8b580]	318	xmin=xmin, xmax=xmax,title=None)
[d89f09b]	319	except:
[89032bf]	320	#raise
[060b857]	321	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	322
	323
[39a365d]	324	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
	325	xmin=None, xmax=None, ymin=None, ymax=None):
[d89f09b]	326	"""
	327	Parameter estimation completed,
	328	display the results to the user
	329	@param alpha: estimated best alpha
	330	@param elapsed: computation time
	331	"""
[f343069]	332	wx.PostEvent(self.parent, StatusEvent(status="Sinmultaneous fit \
	333	complete in %g sec" % elapsed, type="stop"))
[d89f09b]	334	try:
	335	for page, value in self.page_finder.iteritems():
[948add7]	336	if value.get_scheduled()==1:
[6f73a08]	337	#fitdata = value.get_data()
[3b19ac9]	338	list = value.get_model()
	339	model= list[0]
	340
	341	small_out = []
	342	small_cov = []
	343	i = 0
	344	#Separate result in to data corresponding to each page
	345	for p in result.parameters:
	346	model_name,param_name = self.split_string(p.name)
	347	if model.name == model_name:
	348	small_out.append(p.value )
[26bf293]	349	small_cov.append(p.stderr)
[3b19ac9]	350	model.setParam(param_name,p.value)
	351	# Display result on each page
	352	page.onsetValues(result.fitness, small_out,small_cov)
	353	#Replot model
[39a365d]	354	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
	355	xmin=xmin, xmax=xmax,
	356	ymin=ymin, ymax=ymax)
[d89f09b]	357	except:
	358	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	359
[e9b4cc4]	360
[4af20b4]	361	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
[d89f09b]	362	"""
	363	perform fit for the current page and return chisqr,out and cov
	364	@param engineName: type of fit to be performed
	365	@param id: unique id corresponding to a fit problem(model, set of data)
	366	@param model: model to fit
	367
	368	"""
[948add7]	369	#print "in single fitting"
[d89f09b]	370	#set an engine to perform fit
	371	from sans.fit.Fitting import Fit
	372	self.fitter= Fit(self._fit_engine)
[3b19ac9]	373	#Setting an id to store model and data in fit engine
[202a7dc3]	374	if id!=None:
	375	self.fit_id= id
	376
[948add7]	377	page_fitted=None
	378	fit_problem=None
[3b19ac9]	379	#Get information (model , data) related to the page on
	380	#with the fit will be perform
[202a7dc3]	381	current_pg=self.fit_panel.get_current_page()
	382	simul_pg=self.fit_panel.GetPage(1 )
[14c707f]	383	pars=[]
[202a7dc3]	384	#for page, value in self.page_finder.iteritems():
	385	if current_pg!= simul_pg:
	386	# if value.get_scheduled() ==1 :
	387	value = self.page_finder[current_pg]
	388	metadata = value.get_data()
	389	list = value.get_model()
	390	model = list[0]
	391	smearer= value.get_smearer()
	392	print "single fit", model, smearer
	393	#Create list of parameters for fitting used
[e9b4cc4]	394
[202a7dc3]	395	templist=[]
	396	try:
	397	#templist=current_pg.get_param_list()
	398	templist=current_pg.get_param_list()
	399	for element in templist:
	400	pars.append(str(element[0].GetLabelText()))
	401	pars.sort()
	402	print "single fit start pars:", pars
	403	#Do the single fit
	404	self.fitter.set_model(Model(model), self.fit_id, pars)
	405	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
	406
	407	self.fitter.set_data(data=metadata,Uid=self.fit_id,
	408	smearer=smearer,qmin= qmin,qmax=qmax,
	409	ymin=ymin,ymax=ymax)
	410	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	411	page_fitted=current_pg
	412	self.fit_id+=1
	413	#self.schedule_for_fit( 0,value)
	414	except:
	415	raise
	416	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	417	return
	418	# make sure to keep an alphabetic order
	419	#of parameter names in the list
	420	try:
	421	# If a thread is already started, stop it
	422	if self.calc_thread != None and self.calc_thread.isrunning():
	423	self.calc_thread.stop()
	424
	425	self.calc_thread =FitThread(parent =self.parent,
	426	fn= self.fitter,
	427	pars= pars,
	428	cpage= page_fitted,
	429	qmin=qmin,
	430	qmax=qmax,
	431
	432	completefn=self._single_fit_completed,
	433	updatefn=None)
	434	self.calc_thread.queue()
	435	self.calc_thread.ready(2.5)
	436	#while not self.done:
	437	#print "when here"
	438	# time.sleep(1)
	439
	440
	441	except:
	442	raise
	443	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	444	return
[d89f09b]	445
[9d31a8b]	446	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	447	"""
	448	perform fit for all the pages selected on simpage and return chisqr,out and cov
	449	@param engineName: type of fit to be performed
	450	@param id: unique id corresponding to a fit problem(model, set of data)
	451	in park_integration
	452	@param model: model to fit
	453
	454	"""
	455	#set an engine to perform fit
	456	from sans.fit.Fitting import Fit
	457	self.fitter= Fit(self._fit_engine)
[3b19ac9]	458
[d89f09b]	459	#Setting an id to store model and data
[202a7dc3]	460	if id!=None:
	461	self.fit_id= id
	462
[3b19ac9]	463
[d89f09b]	464	for page, value in self.page_finder.iteritems():
	465	try:
[948add7]	466	if value.get_scheduled()==1:
[9d31a8b]	467	metadata = value.get_data()
[3b19ac9]	468	list = value.get_model()
	469	model= list[0]
[d89f09b]	470	#Create dictionary of parameters for fitting used
	471	pars = []
	472	templist = []
[3b19ac9]	473	templist = page.get_param_list()
[d89f09b]	474	for element in templist:
	475	try:
	476	name = str(element[0].GetLabelText())
	477	pars.append(name)
	478	except:
	479	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	480	return
[c80c06f]	481	# need to check this print "new model "
[00561739]	482	new_model=Model(model)
[8e81af0]	483	param=value.get_model_param()
	484
	485	if len(param)>0:
	486	for item in param:
	487	param_value = item[1]
	488	param_name = item[0]
	489	#print "fitting ", param,param_name, param_value
	490
	491	#new_model.set( model.getParam(param_name[0])= param_value)
	492	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	493	#new_model.set( exec "%s"%(param_nam) = param_value)
	494	new_model.parameterset[ param_name].set( param_value )
[c80c06f]	495
[202a7dc3]	496	self.fitter.set_model(new_model, self.fit_id, pars)
	497	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
[14c707f]	498	print "sim---->value of problem",value.get_scheduled()
[202a7dc3]	499	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	500	self.fit_id += 1
	501	self.schedule_for_fit( 0,value)
[d89f09b]	502	except:
[89032bf]	503	#raise
[3b19ac9]	504	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	505	return
[dabb633]	506	#Do the simultaneous fit
[d89f09b]	507	try:
[e9b4cc4]	508	# If a thread is already started, stop it
	509	if self.calc_thread != None and self.calc_thread.isrunning():
	510	self.calc_thread.stop()
	511
	512	self.calc_thread =FitThread(parent =self.parent,
	513	fn= self.fitter,
	514	qmin=qmin,
	515	qmax=qmax,
	516	ymin= ymin,
	517	ymax= ymax,
	518	completefn= self._simul_fit_completed,
	519	updatefn=None)
	520	self.calc_thread.queue()
	521	self.calc_thread.ready(2.5)
	522
[d89f09b]	523	except:
[89032bf]	524	#raise
[d89f09b]	525	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	526	return
[3b19ac9]	527
	528
	529	def _onset_engine(self,event):
	530	""" set engine to scipy"""
	531	if self._fit_engine== 'park':
	532	self._on_change_engine('scipy')
	533	else:
	534	self._on_change_engine('park')
	535	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	536
	537
[d89f09b]	538	def _on_change_engine(self, engine='park'):
	539	"""
	540	Allow to select the type of engine to perform fit
	541	@param engine: the key work of the engine
	542	"""
	543	self._fit_engine = engine
	544
	545
	546	def _on_model_panel(self, evt):
	547	"""
	548	react to model selection on any combo box or model menu.plot the model
	549	"""
[e1a310f]	550
[d89f09b]	551	model = evt.model
	552	name = evt.name
[32d802f]	553
[264df67]	554	print "name fitting", name
[94999eb]	555	sim_page=self.fit_panel.GetPage(1)
[d89f09b]	556	current_pg = self.fit_panel.get_current_page()
	557	if current_pg != sim_page:
	558	current_pg.set_panel(model)
[ef8b580]	559	#model.name = self.page_finder[current_pg].get_name()
	560	#print "model name", model.name
	561	model.name="M"+str(self.index_model)
[d89f09b]	562	try:
[bcd6d51]	563	metadata=self.page_finder[current_pg].get_data()
[264df67]	564	M_name=model.name+"= "+name+"("+metadata.group_id+")"
[ef8b580]	565	except:
	566	M_name=model.name+"= "+name
[d89f09b]	567	self.index_model += 1
[ef8b580]	568
	569
[6bcdad1]	570	# save model name
[442895f]	571
[6bcdad1]	572	# save the name containing the data name with the appropriate model
[1b07935d]	573	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	574	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	575	sim_page.add_model(self.page_finder)
	576
[08b9c6c8]	577	def set_smearer(self,smearer):
	578	current_pg=self.fit_panel.get_current_page()
	579	self.page_finder[current_pg].set_smearer(smearer)
	580
[d89f09b]	581	def redraw_model(self,qmin= None,qmax= None):
	582	"""
	583	Draw a theory according to model changes or data range.
	584	@param qmin: the minimum value plotted for theory
	585	@param qmax: the maximum value plotted for theory
	586	"""
	587	current_pg=self.fit_panel.get_current_page()
	588	for page, value in self.page_finder.iteritems():
	589	if page ==current_pg :
	590	break
	591	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	592
[89032bf]	593	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
[4af20b4]	594	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
[d89f09b]	595	"""
	596	Plot a theory given a model and data
	597	@param model: the model from where the theory is derived
	598	@param currpage: page in a dictionary referring to some data
	599	"""
[26bf293]	600	if self.fit_panel.GetPageCount() >1:
[d89f09b]	601	for page in self.page_finder.iterkeys():
	602	if page==currpage :
[bcd6d51]	603	data=self.page_finder[page].get_data()
	604	list=self.page_finder[page].get_model()
	605	model=list[0]
[d89f09b]	606	break
[26bf293]	607	print "model in fitting",model
[693ab78]	608	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	609	theory = Theory1D(x=[], y=[])
[6bcdad1]	610	theory.name = model.name
[d89f09b]	611	theory.group_id = data.group_id
[ef8b580]	612	"""
[264df67]	613	if hasattr(data, "id"):
	614	import string
	615	if string.find("Model",data.id )!=None:
	616	#allow plotting on the same panel
	617	theory.id =str(data.id )+" "+str(self.index_theory)
	618	self.index_theory +=1
	619	else:
[ef8b580]	620	"""
	621	theory.id = "Model"
[264df67]	622
[d89f09b]	623	x_name, x_units = data.get_xaxis()
	624	y_name, y_units = data.get_yaxis()
	625	theory.xaxis(x_name, x_units)
	626	theory.yaxis(y_name, y_units)
	627	if qmin == None :
	628	qmin = min(data.x)
	629	if qmax == None :
[4af20b4]	630	qmax = max(data.x)
[d89f09b]	631	try:
	632	tempx = qmin
[1b07935d]	633	tempy = model.run(qmin)
[d89f09b]	634	theory.x.append(tempx)
	635	theory.y.append(tempy)
	636	except :
	637	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	638	skipping point x %g %s" %(qmin, sys.exc_value)))
	639
	640	for i in range(len(data.x)):
	641	try:
[f69bc394]	642	if data.x[i]> qmin and data.x[i]< qmax:
[d89f09b]	643	tempx = data.x[i]
[1b07935d]	644	tempy = model.run(tempx)
[d89f09b]	645	theory.x.append(tempx)
	646	theory.y.append(tempy)
[04edd0d]	647
[d89f09b]	648	except:
	649	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	650	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	651	try:
	652	tempx = qmax
[1b07935d]	653	tempy = model.run(qmax)
[d89f09b]	654	theory.x.append(tempx)
	655	theory.y.append(tempy)
	656	except:
[00561739]	657	wx.PostEvent(self.parent, StatusEvent(status="fitting \
[32d802f]	658	skipping point x %g %s" %(qmin, sys.exc_value)) )
	659	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	660	title=str(data.name)))
[6f73a08]	661	else:
[89032bf]	662
[dc317d1]	663	theory=Data2D(data.data, data.err_data)
[6bcdad1]	664	theory.name= model.name
[89032bf]	665	if title !=None:
	666	self.title = title
	667	theory.id= self.title
	668	theory.group_id= self.title+data.name
	669	else:
	670	self.title= "Analytical model 2D "
	671	theory.id= "Model"
	672	theory.group_id= "Model"+data.name
[6f73a08]	673	theory.x_bins= data.x_bins
	674	theory.y_bins= data.y_bins
	675	tempy=[]
[22210ef]	676	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
[17fc6f8]	677	if qmin==None:
[bd82069]	678	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
[17fc6f8]	679	if qmax==None:
[4af20b4]	680	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
	681	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
[17fc6f8]	682	if ymin==None:
	683	ymin=data.ymin
	684	if ymax==None:
	685	ymax=data.ymax
[4af20b4]	686	if xmin ==None:
	687	xmin=data.xmin
	688	if xmax==None:
[f69bc394]	689	xmax=data.xmax
	690
[57668f8]	691	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[4af20b4]	692	for j in range(len(data.y_bins)):
	693	for i in range(len(data.x_bins)):
	694	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
[bd82069]	695	if tempqij>= qmin and tempqij<= qmax:
	696	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
	697	else:
	698	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
[f69bc394]	699	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
[44bbf6a]	700	#print "fitting : plot_helper:", theory.image
[2dbb681]	701	#print "fitting : plot_helper:",theory.image
[1f62278]	702	theory.detector= data.detector
	703	theory.source= data.source
[22210ef]	704
[d0eac66]	705	theory.qmin= qmin
	706	theory.qmax= qmax
[4274c0e]	707	theory.ymin= ymin
	708	theory.ymax= ymax
[d0eac66]	709	theory.xmin= xmin
	710	theory.xmax= xmax
[04edd0d]	711
[32d802f]	712	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[89032bf]	713	title=self.title +str(data.name)))
[6f73a08]	714
	715
[d89f09b]	716	def _on_model_menu(self, evt):
	717	"""
	718	Plot a theory from a model selected from the menu
	719	"""
[86c1832]	720	name = evt.model.__name__
	721	if hasattr(evt.model, "name"):
	722	name = evt.model.name
[32d802f]	723	print "on model menu", name
[b2c3225]	724	model=evt.model()
[2dbb681]	725	description=model.description
[3dc83be]	726
	727	# Create a model page. If a new page is created, the model
	728	# will be plotted automatically. If a page already exists,
	729	# the content will be updated and the plot refreshed
	730	self.fit_panel.add_model_page(model,description,name,topmenu=True)
[1b07935d]	731
[26bf293]	732	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
[cfc68540]	733	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[3b19ac9]	734	"""
	735	draw model with default data value
	736	"""
[26bf293]	737	if data !=None:
	738	self.redraw_model(qmin,qmax)
	739	return
[d74d751]	740	self._draw_model2D(model=model,
	741	description=model.description,
	742	enable2D= enable2D,
	743	qmin=qmin,
	744	qmax=qmax,
[c48a26a]	745	qstep=qstep)
[86c1832]	746	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
[cfc68540]	747
	748	def _draw_model1D(self,model,name,description=None, enable1D=True,
	749	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[e5a9e32]	750
[d250f7d]	751	if enable1D:
[d15c0202]	752	x= numpy.linspace(start= qmin,
	753	stop= qmax,
	754	num= qstep,
	755	endpoint=True
	756	)
[f39511b]	757	xlen= len(x)
	758	y = numpy.zeros(xlen)
[d250f7d]	759	if not enable1D:
[f39511b]	760	for i in range(xlen):
	761	y[i] = model.run(x[i])
[d15c0202]	762
[f39511b]	763	try:
	764	new_plot = Theory1D(x, y)
[32d802f]	765
[86c1832]	766	new_plot.name = name
[f39511b]	767	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	768	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	769	new_plot.id = "Model"
	770	new_plot.group_id ="Model"
[f39511b]	771	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	772	except:
[32d802f]	773	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	774	#raise
[f39511b]	775	else:
	776	for i in range(xlen):
	777	y[i] = model.run(x[i])
[d15c0202]	778	#print x, y
[f39511b]	779	try:
	780	new_plot = Theory1D(x, y)
[32d802f]	781	print "draw model 1D", name
[86c1832]	782	new_plot.name = name
[f39511b]	783	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	784	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	785	new_plot.id ="Model"
	786	new_plot.group_id ="Model"
[3dc83be]	787
	788	# Pass the reset flag to let the plotting event handler
	789	# know that we are replacing the whole plot
[6bcdad1]	790	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[3dc83be]	791	title="Analytical model 1D ", reset=True ))
[f39511b]	792
	793	except:
[32d802f]	794	#raise
	795	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
[e9b4cc4]	796	def update(self, output,time):
	797	pass
[20be946]	798
[b2c6d23]	799	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
[26bf293]	800
[20be946]	801	wx.PostEvent(self.parent, StatusEvent(status="Calc \
[f343069]	802	complete in %g sec" % elapsed, type="stop"))
[d15c0202]	803	#print "complete",output, model,qmin, qmax
[20be946]	804	data = output
[13e120a]	805	temp= numpy.zeros(numpy.shape(data))
	806	temp[temp==0]=1
	807	theory= Data2D(image=data, err_image=temp)
	808
[d15c0202]	809	from DataLoader.data_info import Detector, Source
	810
	811	detector = Detector()
	812	theory.detector=[]
[7b758fd]	813	theory.detector.append(detector)
[d15c0202]	814
[ac2cc940]	815	theory.detector[0].distance=1e+32#13705.0
[d15c0202]	816	theory.source= Source()
[ac2cc940]	817	theory.source.wavelength=2*math.pi/1e+32#8.4
[13e120a]	818	theory.x_bins =[]
	819	theory.y_bins =[]
[ac2cc940]	820	#Now qmax is xmax.
	821	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
	822	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
	823	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
	824	theory.detector[0].beam_center.x= qmax
	825	theory.detector[0].beam_center.y= qmax
	826	#print "xmax,qmax",xmax,qmax
[13e120a]	827	# compute x_bins and y_bins
	828	# Qx and Qy vectors
	829
	830	distance = theory.detector[0].distance
	831	pixel = qstep/2-1
[7b758fd]	832	theta = pixel / distance / qstep#100.0
[13e120a]	833	wavelength = theory.source.wavelength
	834	pixel_width_x = theory.detector[0].pixel_size.x
	835	pixel_width_y = theory.detector[0].pixel_size.y
	836	center_x = theory.detector[0].beam_center.x/pixel_width_x
	837	center_y = theory.detector[0].beam_center.y/pixel_width_y
[d15c0202]	838
[13e120a]	839
	840	size_x, size_y= numpy.shape(theory.data)
[ac2cc940]	841	#print "size_x,size_y",size_x, size_y
[7b758fd]	842	#This case, q and x are equivalent to each other.
[13e120a]	843	for i_x in range(size_x):
[ac2cc940]	844	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
	845	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	846	theory.x_bins.append(qx)
	847	for i_y in range(size_y):
[ac2cc940]	848	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
	849	qy =4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	850	theory.y_bins.append(qy)
	851
	852	#theory.err_data= numpy.
[20be946]	853	theory.name= model.name
	854	theory.group_id ="Model"
	855	theory.id ="Model"
[22210ef]	856
	857
	858
[f69bc394]	859	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
	860	theory.xmax= qmax#/math.sqrt(2)
	861	theory.ymin= -qmax#/math.sqrt(2)
	862	theory.ymax= qmax#/math.sqrt(2)
[b2c6d23]	863
[89032bf]	864	print "model draw comptele xmax",theory.xmax,model.name
[20be946]	865	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[32d802f]	866	title="Analytical model 2D ", reset=True ))
[20be946]	867
	868
	869
[cfc68540]	870	def _draw_model2D(self,model,description=None, enable2D=False,
	871	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[d15c0202]	872
	873	x= numpy.linspace(start= -1*qmax,
	874	stop= qmax,
	875	num= qstep,
	876	endpoint=True )
	877	y = numpy.linspace(start= -1*qmax,
	878	stop= qmax,
	879	num= qstep,
	880	endpoint=True )
	881
[dc317d1]	882	lx = len(x)
[1c5b068]	883	#print x
[dc317d1]	884	data=numpy.zeros([len(x),len(y)])
[20be946]	885	self.model= model
[dc317d1]	886	if enable2D:
[9dd69ec]	887	from sans.guiframe.model_thread import Calc2D
[d15c0202]	888	self.calc_thread = Calc2D(parent =self.parent,x=x,
	889	y=y,model= self.model,
	890	qmin=qmin,
	891	qmax=qmax,
[b2c6d23]	892	qstep=qstep,
[20be946]	893	completefn=self.complete,
[e9b4cc4]	894	updatefn=None)
[20be946]	895	self.calc_thread.queue()
	896	self.calc_thread.ready(2.5)
[89032bf]	897
	898	def show_panel2D(self, id=None ):
[32d802f]	899	self.parent.show_panel(self.model2D_id)
[20be946]	900
[db709e4]	901
[d89f09b]	902	if __name__ == "__main__":
	903	i = Plugin()
	904
	905
	906
	907

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 202a7dc3

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