fitting.py @ 1fc7411

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 1fc7411 was 8f83c90d, checked in by Gervaise Alina <gervyh@…>, 16 years ago
fixed bug on fitting for data with dy=0
Property mode set to `100644`
File size: 41.1 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
[2a8fac1]	9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL,ERR_DATA
[568e1a5]	10
[8f83c90d]	11	from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data,
[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
[2a8fac1]	51	# list of selcted data
	52	self.selected_data_list=[]
[d89f09b]	53	# Log startup
	54	logging.info("Fitting plug-in started")
[32d802f]	55	# model 2D view
	56	self.model2D_id=None
[2a8fac1]	57	self.err_dy={}
	58
	59	def _on_data_error(self, event):
	60	self.err_dy= event.err_dy
	61
[d89f09b]	62	def populate_menu(self, id, owner):
	63	"""
	64	Create a menu for the Fitting plug-in
	65	@param id: id to create a menu
	66	@param owner: owner of menu
	67	@ return : list of information to populate the main menu
	68	"""
[32d802f]	69	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
[d89f09b]	70	#Menu for fitting
	71	self.menu1 = wx.Menu()
[b5c537f]	72	#id1 = wx.NewId()
	73	#self.menu1.Append(id1, '&fit panel')
	74	#wx.EVT_MENU(owner, id1, self.on_perspective)
	75	#Set park engine
[3b19ac9]	76	id3 = wx.NewId()
[442895f]	77	self.menu1.AppendCheckItem(id3, "park")
[3b19ac9]	78	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	79
	80	#menu for model
	81	menu2 = wx.Menu()
[f39511b]	82
[d89f09b]	83	self.menu_mng.populate_menu(menu2, owner)
	84	id2 = wx.NewId()
	85	owner.Bind(models.EVT_MODEL,self._on_model_menu)
[2dbb681]	86	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
[d89f09b]	87	self.fit_panel.set_owner(owner)
	88	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	89	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[8566c05]	90	#owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
[3b19ac9]	91	#create menubar items
[d89f09b]	92	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	93
	94
	95	def help(self, evt):
	96	"""
	97	Show a general help dialog.
	98	TODO: replace the text with a nice image
	99	"""
[2268d10]	100	#from helpDialog import HelpWindow
	101	#dialog = HelpWindow(None, -1, 'HelpWindow')
	102	#if dialog.ShowModal() == wx.ID_OK:
	103	# pass
	104	#dialog.Destroy()
	105	from helpPanel import HelpWindow
	106	frame = HelpWindow(None, -1, 'HelpWindow')
	107	frame.Show(True)
	108
	109
[d7d143b0]	110
[d89f09b]	111
	112	def get_context_menu(self, graph=None):
	113	"""
	114	Get the context menu items available for P(r)
	115	@param graph: the Graph object to which we attach the context menu
	116	@return: a list of menu items with call-back function
	117	"""
	118	self.graph=graph
	119	for item in graph.plottables:
[693ab78]	120	if item.__class__.__name__ is "Data2D":
[2dbb681]	121	return [["Select data for Fitting",\
	122	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	123	else:
[2a8fac1]	124	#if item.name==graph.selected_plottable and\
	125	# item.__class__.__name__ is "Data1D":
	126	if item.name==graph.selected_plottable :
[2dbb681]	127	return [["Select data for Fitting", \
	128	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	129	return []
	130
	131
	132	def get_panels(self, parent):
	133	"""
	134	Create and return a list of panel objects
	135	"""
	136	self.parent = parent
	137	# Creation of the fit panel
	138	self.fit_panel = FitPanel(self.parent, -1)
	139	#Set the manager forthe main panel
	140	self.fit_panel.set_manager(self)
	141	# List of windows used for the perspective
	142	self.perspective = []
	143	self.perspective.append(self.fit_panel.window_name)
	144	# take care of saving data, model and page associated with each other
[3b19ac9]	145	self.page_finder = {}
	146	#index number to create random model name
	147	self.index_model = 0
[264df67]	148	self.index_theory= 0
[32673ac]	149	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[2a8fac1]	150	self.parent.Bind( ERR_DATA, self._on_data_error)
[32d802f]	151
[3b19ac9]	152	#create the fitting panel
[568e1a5]	153	#return [self.fit_panel]
[32673ac]	154
[568e1a5]	155	self.mypanels.append(self.fit_panel)
	156	return self.mypanels
[888e62c]	157
	158
[32d802f]	159	def _on_model2D_show(self, event ):
	160	print "model2D get the id ", event.id
[888e62c]	161
	162
[568e1a5]	163	def _on_slicer_event(self, event):
[32673ac]	164	print "fitting:slicer event ", event.panel
[888e62c]	165	if event.panel!=None:
	166	new_panel = event.panel
	167	# Set group ID if available
	168	event_id = self.parent.popup_panel(new_panel)
	169	self.menu1.Append(event_id, new_panel.window_caption,
	170	"Show %s plot panel" % new_panel.window_caption)
	171	# Set UID to allow us to reference the panel later
	172	new_panel.uid = event_id
	173	new_panel
	174	self.mypanels.append(new_panel)
[568e1a5]	175	return
[d23544dc]	176	def _on_show_panel(self, event):
	177	print "_on_show_panel: fitting"
[d89f09b]	178
	179	def get_perspective(self):
	180	"""
	181	Get the list of panel names for this perspective
	182	"""
	183	return self.perspective
	184
	185
	186	def on_perspective(self, event):
	187	"""
	188	Call back function for the perspective menu item.
	189	We notify the parent window that the perspective
	190	has changed.
	191	"""
	192	self.parent.set_perspective(self.perspective)
	193
	194
	195	def post_init(self):
	196	"""
	197	Post initialization call back to close the loose ends
	198	[Somehow openGL needs this call]
	199	"""
	200	self.parent.set_perspective(self.perspective)
[cce33b3]	201
	202	def copy_data(self, item, dy):
	203	detector=None
	204	source=None
	205	dxl=None
	206	dxw=None
	207	if hasattr(item, "dxl"):
	208	dxl = item.dxl
	209	if hasattr(item, "dxw"):
	210	dxw = item.dxw
	211	if hasattr(item, "detector"):
	212	detector =item.detector
	213	if hasattr(item, "source"):
	214	source =item.source
	215	from sans.guiframe import dataFitting
	216	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
	217	data.name=item.name
	218	data.detector=detector
	219	data.source= source
	220	return data
	221
[d89f09b]	222	def _onSelect(self,event):
	223	"""
	224	when Select data to fit a new page is created .Its reference is
	225	added to self.page_finder
	226	"""
	227	self.panel = event.GetEventObject()
	228	for item in self.panel.graph.plottables:
[2a8fac1]	229	if item.name == self.panel.graph.selected_plottable:
	230	if len(self.err_dy)>0:
	231	if item.name in self.err_dy.iterkeys():
	232	dy= self.err_dy[item.name]
[cce33b3]	233	data= self.copy_data(item, dy)
	234	else:
[6dc6845]	235	data= item
[2a8fac1]	236	else:
	237	if item.dy==None:
	238	dy= numpy.zeros(len(item.y))
	239	dy[dy==0]=1
[cce33b3]	240	data= self.copy_data(item, dy)
[2a8fac1]	241	else:
[949c7b2]	242	data= item
[9e50026]	243	else:
	244	data= item
[cce33b3]	245
	246
[693ab78]	247	if item.name == self.panel.graph.selected_plottable or\
	248	item.__class__.__name__ is "Data2D":
[3b19ac9]	249	#find a name for the page created for notebook
[2a8fac1]	250	print "fitting", self.panel
[d89f09b]	251	try:
[d0eac66]	252
[2a8fac1]	253	#page = self.fit_panel.add_fit_page(item)
	254	page = self.fit_panel.add_fit_page(data)
[ef8b580]	255	#page, model_name = self.fit_panel.add_fit_page(item)
[3b19ac9]	256	# add data associated to the page created
[d0eac66]	257
	258	if page !=None:
[6f73a08]	259	#create a fitproblem storing all link to data,model,page creation
	260	self.page_finder[page]= FitProblem()
[ef8b580]	261	#self.page_finder[page].save_model_name(model_name)
[2a8fac1]	262	self.page_finder[page].add_plotted_data(item)
	263	self.page_finder[page].add_fit_data(data)
	264
	265
[d0eac66]	266	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
	267	else:
	268	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
[d89f09b]	269	except:
[2a8fac1]	270	raise
	271	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	272	#%sys.exc_value))
	273
	274
[948add7]	275	def schedule_for_fit(self,value=0,fitproblem =None):
	276	"""
	277
	278	"""
	279	if fitproblem !=None:
	280	fitproblem.schedule_tofit(value)
	281	else:
	282	current_pg=self.fit_panel.get_current_page()
	283	for page, val in self.page_finder.iteritems():
	284	if page ==current_pg :
	285	val.schedule_tofit(value)
	286	break
	287
[d89f09b]	288
	289	def get_page_finder(self):
	290	""" @return self.page_finder used also by simfitpage.py"""
	291	return self.page_finder
	292
	293
[3b19ac9]	294	def set_page_finder(self,modelname,names,values):
[d89f09b]	295	"""
	296	Used by simfitpage.py to reset a parameter given the string constrainst.
	297	@param modelname: the name ot the model for with the parameter has to reset
	298	@param value: can be a string in this case.
[3b19ac9]	299	@param names: the paramter name
[d89f09b]	300	@note: expecting park used for fit.
	301	"""
[39a365d]	302	sim_page=self.fit_panel.GetPage(1)
[d89f09b]	303	for page, value in self.page_finder.iteritems():
	304	if page != sim_page:
	305	list=value.get_model()
	306	model=list[0]
[9e27de9]	307	print "fitting",model.name,modelname, values
[d89f09b]	308	if model.name== modelname:
[3b19ac9]	309	value.set_model_param(names,values)
[d89f09b]	310	break
	311
	312
	313
	314	def split_string(self,item):
	315	"""
[3b19ac9]	316	receive a word containing dot and split it. used to split parameterset
	317	name into model name and parameter name example:
	318	paramaterset (item) = M1.A
	319	@return model_name =M1 , parameter name =A
[d89f09b]	320	"""
	321	if string.find(item,".")!=-1:
	322	param_names= re.split("\.",item)
	323	model_name=param_names[0]
	324	param_name=param_names[1]
	325	return model_name,param_name
	326
[e9b4cc4]	327
[3215d32]	328	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
[4af20b4]	329	ymin=None, ymax=None, xmin=None, xmax=None):
[d89f09b]	330	"""
[3b19ac9]	331	Display fit result on one page of the notebook.
	332	@param result: result of fit
	333	@param pars: list of names of parameters fitted
	334	@param current_pg: the page where information will be displayed
	335	@param qmin: the minimum value of x to replot the model
	336	@param qmax: the maximum value of x to replot model
[d89f09b]	337
	338	"""
[f343069]	339
[89032bf]	340	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
[f343069]	341	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
[3215d32]	342	complete " , type="stop"))
[d89f09b]	343	try:
	344	for page, value in self.page_finder.iteritems():
[948add7]	345	if page==cpage :
[6f73a08]	346	#fitdata = value.get_data()
[d89f09b]	347	list = value.get_model()
	348	model= list[0]
	349	break
	350	i = 0
[8f83c90d]	351
[d89f09b]	352	for name in pars:
	353	if result.pvec.__class__==numpy.float64:
[1b07935d]	354	model.setParam(name,result.pvec)
[d89f09b]	355	else:
[1b07935d]	356	model.setParam(name,result.pvec[i])
[442895f]	357	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	358	i += 1
[26bf293]	359	print "fitting result : chisqr",result.fitness
	360	print "fitting result : pvec",result.pvec
	361	print "fitting result : stderr",result.stderr
[8f83c90d]	362
[948add7]	363	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[ef8b580]	364	#title="Fitted model 2D "
[4af20b4]	365	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
	366	ymin=ymin, ymax=ymax,
[ef8b580]	367	xmin=xmin, xmax=xmax,title=None)
[d89f09b]	368	except:
[89032bf]	369	#raise
[060b857]	370	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[c62dbbe]	371	return
[d89f09b]	372
[39a365d]	373	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
	374	xmin=None, xmax=None, ymin=None, ymax=None):
[d89f09b]	375	"""
	376	Parameter estimation completed,
	377	display the results to the user
	378	@param alpha: estimated best alpha
	379	@param elapsed: computation time
	380	"""
[3215d32]	381	if cpage!=None:
	382	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
	383	qmin=qmin,qmax=qmax,
	384	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
	385	return
	386	else:
	387	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
	388	complete ", type="stop"))
	389	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
[d89f09b]	390
[3215d32]	391	try:
	392	for page, value in self.page_finder.iteritems():
	393	if value.get_scheduled()==1:
	394	#fitdata = value.get_data()
	395	list = value.get_model()
	396	model= list[0]
	397
	398	small_out = []
	399	small_cov = []
	400	i = 0
	401	#Separate result in to data corresponding to each page
	402	for p in result.parameters:
	403	model_name,param_name = self.split_string(p.name)
	404	if model.name == model_name:
	405	small_out.append(p.value )
[7ffe36b]	406	if p.stderr==None:
	407	p.stderr=numpy.nan
[3215d32]	408	small_cov.append(p.stderr)
	409	model.setParam(param_name,p.value)
	410	# Display result on each page
[7ffe36b]	411	#print "mmmm",p.value,p.stderr
[3215d32]	412	page.onsetValues(result.fitness, small_out,small_cov)
[7ffe36b]	413	#print "out,err",small_out,small_cov
[3215d32]	414	#Replot model
	415	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
	416	xmin=xmin, xmax=xmax,
	417	ymin=ymin, ymax=ymax)
	418	except:
	419	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
[c62dbbe]	420	return
[e9b4cc4]	421
[4af20b4]	422	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
[d89f09b]	423	"""
	424	perform fit for the current page and return chisqr,out and cov
	425	@param engineName: type of fit to be performed
	426	@param id: unique id corresponding to a fit problem(model, set of data)
	427	@param model: model to fit
	428
	429	"""
[948add7]	430	#print "in single fitting"
[d89f09b]	431	#set an engine to perform fit
	432	from sans.fit.Fitting import Fit
	433	self.fitter= Fit(self._fit_engine)
[3b19ac9]	434	#Setting an id to store model and data in fit engine
[3215d32]	435	self.fit_id= 0
[202a7dc3]	436	if id!=None:
	437	self.fit_id= id
	438
[948add7]	439	page_fitted=None
	440	fit_problem=None
[3b19ac9]	441	#Get information (model , data) related to the page on
	442	#with the fit will be perform
[202a7dc3]	443	current_pg=self.fit_panel.get_current_page()
	444	simul_pg=self.fit_panel.GetPage(1 )
[14c707f]	445	pars=[]
[202a7dc3]	446	#for page, value in self.page_finder.iteritems():
	447	if current_pg!= simul_pg:
	448	# if value.get_scheduled() ==1 :
	449	value = self.page_finder[current_pg]
[2a8fac1]	450	metadata = value.get_fit_data()
[202a7dc3]	451	list = value.get_model()
	452	model = list[0]
	453	smearer= value.get_smearer()
[8f83c90d]	454
	455
[202a7dc3]	456	#Create list of parameters for fitting used
[e9b4cc4]	457
[202a7dc3]	458	templist=[]
	459	try:
	460	#templist=current_pg.get_param_list()
	461	templist=current_pg.get_param_list()
	462	for element in templist:
	463	pars.append(str(element[0].GetLabelText()))
	464	pars.sort()
	465	#Do the single fit
	466	self.fitter.set_model(Model(model), self.fit_id, pars)
	467	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
[8f83c90d]	468	dy=[]
	469	x=[]
	470	y=[]
	471	for i in range(len(metadata.dy)):
	472	if metadata.dy[i] !=0:
	473	dy.append(metadata.dy[i])
	474	x.append(metadata.x[i])
	475	y.append(metadata.y[i])
	476	if len(dy)>0:
	477	metadata.dy=numpy.zeros(len(dy))
	478	metadata.dy=dy
	479	metadata.y=numpy.zeros(len(y))
	480	metadata.y=y
	481	metadata.x=numpy.zeros(len(x))
	482	metadata.x=x
[202a7dc3]	483	self.fitter.set_data(data=metadata,Uid=self.fit_id,
	484	smearer=smearer,qmin= qmin,qmax=qmax,
	485	ymin=ymin,ymax=ymax)
	486	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	487	page_fitted=current_pg
[3215d32]	488	#self.fit_id+=1
[202a7dc3]	489	#self.schedule_for_fit( 0,value)
	490	except:
[3215d32]	491	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
[202a7dc3]	492	return
	493	# make sure to keep an alphabetic order
	494	#of parameter names in the list
	495	try:
	496	# If a thread is already started, stop it
	497	if self.calc_thread != None and self.calc_thread.isrunning():
	498	self.calc_thread.stop()
	499
	500	self.calc_thread =FitThread(parent =self.parent,
	501	fn= self.fitter,
	502	pars= pars,
	503	cpage= page_fitted,
	504	qmin=qmin,
	505	qmax=qmax,
	506
	507	completefn=self._single_fit_completed,
	508	updatefn=None)
	509	self.calc_thread.queue()
	510	self.calc_thread.ready(2.5)
	511	#while not self.done:
	512	#print "when here"
	513	# time.sleep(1)
	514
	515
	516	except:
	517	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	518	return
[d89f09b]	519
[9d31a8b]	520	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	521	"""
	522	perform fit for all the pages selected on simpage and return chisqr,out and cov
	523	@param engineName: type of fit to be performed
	524	@param id: unique id corresponding to a fit problem(model, set of data)
	525	in park_integration
	526	@param model: model to fit
	527
	528	"""
	529	#set an engine to perform fit
	530	from sans.fit.Fitting import Fit
	531	self.fitter= Fit(self._fit_engine)
[3215d32]	532	self.fit_id= 0
[d89f09b]	533	#Setting an id to store model and data
[202a7dc3]	534	if id!=None:
	535	self.fit_id= id
	536
[3b19ac9]	537
[d89f09b]	538	for page, value in self.page_finder.iteritems():
	539	try:
[948add7]	540	if value.get_scheduled()==1:
[2a8fac1]	541	metadata = value.get_fit_data()
[3b19ac9]	542	list = value.get_model()
	543	model= list[0]
[d89f09b]	544	#Create dictionary of parameters for fitting used
[3215d32]	545	cpage= page
	546	print ""
[d89f09b]	547	pars = []
	548	templist = []
[3b19ac9]	549	templist = page.get_param_list()
[d89f09b]	550	for element in templist:
	551	try:
	552	name = str(element[0].GetLabelText())
	553	pars.append(name)
	554	except:
[3215d32]	555	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	556	return
[c80c06f]	557	# need to check this print "new model "
[9e27de9]	558
[00561739]	559	new_model=Model(model)
[8e81af0]	560	param=value.get_model_param()
	561
	562	if len(param)>0:
	563	for item in param:
	564	param_value = item[1]
	565	param_name = item[0]
	566	#print "fitting ", param,param_name, param_value
	567
	568	#new_model.set( model.getParam(param_name[0])= param_value)
	569	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	570	#new_model.set( exec "%s"%(param_nam) = param_value)
	571	new_model.parameterset[ param_name].set( param_value )
[9e27de9]	572
	573	self.fitter.set_model(new_model, self.fit_id, pars)
[3215d32]	574	print "sim-->model",metadata,model,self.fit_id, pars
[9e27de9]	575	#self.fitter.set_model(Model(model), self.fit_id, pars)
[202a7dc3]	576	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
[14c707f]	577	print "sim---->value of problem",value.get_scheduled()
[202a7dc3]	578	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	579	self.fit_id += 1
[9e27de9]	580	value.clear_model_param()
[3215d32]	581	#self.schedule_for_fit( 0,value)
[d89f09b]	582	except:
[3215d32]	583	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[3b19ac9]	584	return
[dabb633]	585	#Do the simultaneous fit
[d89f09b]	586	try:
[e9b4cc4]	587	# If a thread is already started, stop it
	588	if self.calc_thread != None and self.calc_thread.isrunning():
	589	self.calc_thread.stop()
[3215d32]	590	if self.fit_id==1:
	591	self.calc_thread =FitThread(parent =self.parent,
	592	fn= self.fitter,
	593	qmin=qmin,
	594	qmax=qmax,
	595	ymin= ymin,
	596	ymax= ymax,
	597	cpage=cpage,
	598	pars= pars,
	599	completefn= self._simul_fit_completed,
	600	updatefn=None)
	601
	602	else:
	603	self.calc_thread =FitThread(parent =self.parent,
[e9b4cc4]	604	fn= self.fitter,
	605	qmin=qmin,
	606	qmax=qmax,
	607	ymin= ymin,
	608	ymax= ymax,
	609	completefn= self._simul_fit_completed,
	610	updatefn=None)
	611	self.calc_thread.queue()
	612	self.calc_thread.ready(2.5)
	613
[d89f09b]	614	except:
[3215d32]	615	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	616	return
[3b19ac9]	617
	618
	619	def _onset_engine(self,event):
	620	""" set engine to scipy"""
	621	if self._fit_engine== 'park':
	622	self._on_change_engine('scipy')
	623	else:
	624	self._on_change_engine('park')
	625	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	626
	627
[d89f09b]	628	def _on_change_engine(self, engine='park'):
	629	"""
	630	Allow to select the type of engine to perform fit
	631	@param engine: the key work of the engine
	632	"""
	633	self._fit_engine = engine
	634
	635
	636	def _on_model_panel(self, evt):
	637	"""
	638	react to model selection on any combo box or model menu.plot the model
	639	"""
[e1a310f]	640
[d89f09b]	641	model = evt.model
	642	name = evt.name
[32d802f]	643
[264df67]	644	print "name fitting", name
[94999eb]	645	sim_page=self.fit_panel.GetPage(1)
[d89f09b]	646	current_pg = self.fit_panel.get_current_page()
	647	if current_pg != sim_page:
	648	current_pg.set_panel(model)
[ef8b580]	649	#model.name = self.page_finder[current_pg].get_name()
	650	#print "model name", model.name
	651	model.name="M"+str(self.index_model)
[d89f09b]	652	try:
[bcd6d51]	653	metadata=self.page_finder[current_pg].get_data()
[264df67]	654	M_name=model.name+"= "+name+"("+metadata.group_id+")"
[ef8b580]	655	except:
	656	M_name=model.name+"= "+name
[d89f09b]	657	self.index_model += 1
[ef8b580]	658
	659
[6bcdad1]	660	# save model name
[442895f]	661
[6bcdad1]	662	# save the name containing the data name with the appropriate model
[1b07935d]	663	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	664	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	665	sim_page.add_model(self.page_finder)
	666
[08b9c6c8]	667	def set_smearer(self,smearer):
	668	current_pg=self.fit_panel.get_current_page()
	669	self.page_finder[current_pg].set_smearer(smearer)
	670
[d89f09b]	671	def redraw_model(self,qmin= None,qmax= None):
	672	"""
	673	Draw a theory according to model changes or data range.
	674	@param qmin: the minimum value plotted for theory
	675	@param qmax: the maximum value plotted for theory
	676	"""
	677	current_pg=self.fit_panel.get_current_page()
	678	for page, value in self.page_finder.iteritems():
	679	if page ==current_pg :
	680	break
	681	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	682
[89032bf]	683	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
[4af20b4]	684	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
[d89f09b]	685	"""
	686	Plot a theory given a model and data
	687	@param model: the model from where the theory is derived
	688	@param currpage: page in a dictionary referring to some data
	689	"""
[26bf293]	690	if self.fit_panel.GetPageCount() >1:
[d89f09b]	691	for page in self.page_finder.iterkeys():
	692	if page==currpage :
[2a8fac1]	693	data=self.page_finder[page].get_plotted_data()
[bcd6d51]	694	list=self.page_finder[page].get_model()
	695	model=list[0]
[d89f09b]	696	break
[26bf293]	697	print "model in fitting",model
[693ab78]	698	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	699	theory = Theory1D(x=[], y=[])
[6bcdad1]	700	theory.name = model.name
[d89f09b]	701	theory.group_id = data.group_id
[ef8b580]	702	"""
[264df67]	703	if hasattr(data, "id"):
	704	import string
	705	if string.find("Model",data.id )!=None:
	706	#allow plotting on the same panel
	707	theory.id =str(data.id )+" "+str(self.index_theory)
	708	self.index_theory +=1
	709	else:
[ef8b580]	710	"""
	711	theory.id = "Model"
[264df67]	712
[d89f09b]	713	x_name, x_units = data.get_xaxis()
	714	y_name, y_units = data.get_yaxis()
	715	theory.xaxis(x_name, x_units)
	716	theory.yaxis(y_name, y_units)
	717	if qmin == None :
	718	qmin = min(data.x)
	719	if qmax == None :
[4af20b4]	720	qmax = max(data.x)
[d89f09b]	721	try:
	722	tempx = qmin
[1b07935d]	723	tempy = model.run(qmin)
[d89f09b]	724	theory.x.append(tempx)
	725	theory.y.append(tempy)
	726	except :
	727	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	728	skipping point x %g %s" %(qmin, sys.exc_value)))
	729
	730	for i in range(len(data.x)):
	731	try:
[f69bc394]	732	if data.x[i]> qmin and data.x[i]< qmax:
[d89f09b]	733	tempx = data.x[i]
[1b07935d]	734	tempy = model.run(tempx)
[d89f09b]	735	theory.x.append(tempx)
	736	theory.y.append(tempy)
[04edd0d]	737
[d89f09b]	738	except:
	739	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	740	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	741	try:
	742	tempx = qmax
[1b07935d]	743	tempy = model.run(qmax)
[d89f09b]	744	theory.x.append(tempx)
	745	theory.y.append(tempy)
	746	except:
[00561739]	747	wx.PostEvent(self.parent, StatusEvent(status="fitting \
[32d802f]	748	skipping point x %g %s" %(qmin, sys.exc_value)) )
	749	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	750	title=str(data.name)))
[6f73a08]	751	else:
[89032bf]	752
[dc317d1]	753	theory=Data2D(data.data, data.err_data)
[6bcdad1]	754	theory.name= model.name
[89032bf]	755	if title !=None:
	756	self.title = title
	757	theory.id= self.title
	758	theory.group_id= self.title+data.name
	759	else:
	760	self.title= "Analytical model 2D "
	761	theory.id= "Model"
	762	theory.group_id= "Model"+data.name
[6f73a08]	763	theory.x_bins= data.x_bins
	764	theory.y_bins= data.y_bins
	765	tempy=[]
[22210ef]	766	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
[17fc6f8]	767	if qmin==None:
[bd82069]	768	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
[17fc6f8]	769	if qmax==None:
[4af20b4]	770	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
	771	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
[17fc6f8]	772	if ymin==None:
	773	ymin=data.ymin
	774	if ymax==None:
	775	ymax=data.ymax
[4af20b4]	776	if xmin ==None:
	777	xmin=data.xmin
	778	if xmax==None:
[f69bc394]	779	xmax=data.xmax
	780
[57668f8]	781	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[4af20b4]	782	for j in range(len(data.y_bins)):
	783	for i in range(len(data.x_bins)):
	784	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
[bd82069]	785	if tempqij>= qmin and tempqij<= qmax:
	786	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
	787	else:
	788	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
[f69bc394]	789	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
[44bbf6a]	790	#print "fitting : plot_helper:", theory.image
[2dbb681]	791	#print "fitting : plot_helper:",theory.image
[1f62278]	792	theory.detector= data.detector
	793	theory.source= data.source
[22210ef]	794
[d0eac66]	795	theory.qmin= qmin
	796	theory.qmax= qmax
[4274c0e]	797	theory.ymin= ymin
	798	theory.ymax= ymax
[d0eac66]	799	theory.xmin= xmin
	800	theory.xmax= xmax
[04edd0d]	801
[32d802f]	802	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[89032bf]	803	title=self.title +str(data.name)))
[6f73a08]	804
	805
[d89f09b]	806	def _on_model_menu(self, evt):
	807	"""
	808	Plot a theory from a model selected from the menu
	809	"""
[86c1832]	810	name = evt.model.__name__
	811	if hasattr(evt.model, "name"):
	812	name = evt.model.name
[32d802f]	813	print "on model menu", name
[b2c3225]	814	model=evt.model()
[2dbb681]	815	description=model.description
[3dc83be]	816
	817	# Create a model page. If a new page is created, the model
	818	# will be plotted automatically. If a page already exists,
	819	# the content will be updated and the plot refreshed
	820	self.fit_panel.add_model_page(model,description,name,topmenu=True)
[1b07935d]	821
[26bf293]	822	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
[cfc68540]	823	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[3b19ac9]	824	"""
	825	draw model with default data value
	826	"""
[26bf293]	827	if data !=None:
	828	self.redraw_model(qmin,qmax)
	829	return
[2a8fac1]	830	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
[d74d751]	831	self._draw_model2D(model=model,
	832	description=model.description,
	833	enable2D= enable2D,
	834	qmin=qmin,
	835	qmax=qmax,
[c48a26a]	836	qstep=qstep)
[2a8fac1]	837
[cfc68540]	838
	839	def _draw_model1D(self,model,name,description=None, enable1D=True,
	840	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[e5a9e32]	841
[d250f7d]	842	if enable1D:
[d15c0202]	843	x= numpy.linspace(start= qmin,
	844	stop= qmax,
	845	num= qstep,
	846	endpoint=True
	847	)
[f39511b]	848	xlen= len(x)
	849	y = numpy.zeros(xlen)
[d250f7d]	850	if not enable1D:
[f39511b]	851	for i in range(xlen):
	852	y[i] = model.run(x[i])
[d15c0202]	853
[f39511b]	854	try:
	855	new_plot = Theory1D(x, y)
[32d802f]	856
[86c1832]	857	new_plot.name = name
[f39511b]	858	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	859	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	860	new_plot.id = "Model"
	861	new_plot.group_id ="Model"
[f39511b]	862	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	863	except:
[32d802f]	864	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	865	#raise
[f39511b]	866	else:
	867	for i in range(xlen):
[2a8fac1]	868	y[i] = model.run(x[i])
[f39511b]	869	try:
	870	new_plot = Theory1D(x, y)
[32d802f]	871	print "draw model 1D", name
[86c1832]	872	new_plot.name = name
[f39511b]	873	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	874	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	875	new_plot.id ="Model"
	876	new_plot.group_id ="Model"
[3dc83be]	877
	878	# Pass the reset flag to let the plotting event handler
	879	# know that we are replacing the whole plot
[6bcdad1]	880	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[3dc83be]	881	title="Analytical model 1D ", reset=True ))
[f39511b]	882
	883	except:
[32d802f]	884	#raise
	885	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
[e9b4cc4]	886	def update(self, output,time):
	887	pass
[20be946]	888
[b2c6d23]	889	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
[26bf293]	890
[20be946]	891	wx.PostEvent(self.parent, StatusEvent(status="Calc \
[2a8fac1]	892	complete !" , type="stop"))
[d15c0202]	893	#print "complete",output, model,qmin, qmax
[20be946]	894	data = output
[13e120a]	895	temp= numpy.zeros(numpy.shape(data))
	896	temp[temp==0]=1
	897	theory= Data2D(image=data, err_image=temp)
	898
[d15c0202]	899	from DataLoader.data_info import Detector, Source
	900
	901	detector = Detector()
	902	theory.detector=[]
[7b758fd]	903	theory.detector.append(detector)
[d15c0202]	904
[ac2cc940]	905	theory.detector[0].distance=1e+32#13705.0
[d15c0202]	906	theory.source= Source()
[ac2cc940]	907	theory.source.wavelength=2*math.pi/1e+32#8.4
[13e120a]	908	theory.x_bins =[]
	909	theory.y_bins =[]
[ac2cc940]	910	#Now qmax is xmax.
	911	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
	912	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
	913	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
	914	theory.detector[0].beam_center.x= qmax
	915	theory.detector[0].beam_center.y= qmax
	916	#print "xmax,qmax",xmax,qmax
[13e120a]	917	# compute x_bins and y_bins
	918	# Qx and Qy vectors
	919
	920	distance = theory.detector[0].distance
	921	pixel = qstep/2-1
[7b758fd]	922	theta = pixel / distance / qstep#100.0
[13e120a]	923	wavelength = theory.source.wavelength
	924	pixel_width_x = theory.detector[0].pixel_size.x
	925	pixel_width_y = theory.detector[0].pixel_size.y
	926	center_x = theory.detector[0].beam_center.x/pixel_width_x
	927	center_y = theory.detector[0].beam_center.y/pixel_width_y
[d15c0202]	928
[13e120a]	929
	930	size_x, size_y= numpy.shape(theory.data)
[ac2cc940]	931	#print "size_x,size_y",size_x, size_y
[7b758fd]	932	#This case, q and x are equivalent to each other.
[13e120a]	933	for i_x in range(size_x):
[ac2cc940]	934	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
	935	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	936	theory.x_bins.append(qx)
	937	for i_y in range(size_y):
[ac2cc940]	938	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
	939	qy =4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	940	theory.y_bins.append(qy)
	941
	942	#theory.err_data= numpy.
[20be946]	943	theory.name= model.name
	944	theory.group_id ="Model"
	945	theory.id ="Model"
[22210ef]	946
	947
	948
[f69bc394]	949	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
	950	theory.xmax= qmax#/math.sqrt(2)
	951	theory.ymin= -qmax#/math.sqrt(2)
	952	theory.ymax= qmax#/math.sqrt(2)
[b2c6d23]	953
[2a8fac1]	954	#print "model draw comptele xmax",theory.xmax,model.name
[20be946]	955	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[32d802f]	956	title="Analytical model 2D ", reset=True ))
[20be946]	957
	958
	959
[cfc68540]	960	def _draw_model2D(self,model,description=None, enable2D=False,
	961	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[2a8fac1]	962
[d15c0202]	963	x= numpy.linspace(start= -1*qmax,
	964	stop= qmax,
	965	num= qstep,
	966	endpoint=True )
	967	y = numpy.linspace(start= -1*qmax,
	968	stop= qmax,
	969	num= qstep,
	970	endpoint=True )
	971
[dc317d1]	972	lx = len(x)
[1c5b068]	973	#print x
[2a8fac1]	974	#data=numpy.zeros([len(x),len(y)])
[20be946]	975	self.model= model
[dc317d1]	976	if enable2D:
[2a8fac1]	977	try:
	978	from sans.guiframe.model_thread import Calc2D
	979	print "in draw model 2d ",self.model
	980	self.calc_thread = Calc2D(parent =self.parent,x=x,
	981	y=y,model= self.model,
	982	qmin=qmin,
	983	qmax=qmax,
	984	qstep=qstep,
	985	completefn=self.complete,
	986	updatefn=None)
	987	self.calc_thread.queue()
	988	self.calc_thread.ready(2.5)
	989	except:
	990	raise
[89032bf]	991
	992	def show_panel2D(self, id=None ):
[32d802f]	993	self.parent.show_panel(self.model2D_id)
[20be946]	994
[db709e4]	995
[d89f09b]	996	if __name__ == "__main__":
	997	i = Plugin()
	998
	999
	1000
	1001

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 1fc7411

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