fitting.py @ 50c769e

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 50c769e was b5c537f, checked in by Gervaise Alina <gervyh@…>, 16 years ago
remove show panel from menu
Property mode set to `100644`
File size: 38.9 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
[3215d32]	51
[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()
[b5c537f]	67	#id1 = wx.NewId()
	68	#self.menu1.Append(id1, '&fit panel')
	69	#wx.EVT_MENU(owner, id1, self.on_perspective)
	70	#Set park engine
[3b19ac9]	71	id3 = wx.NewId()
[442895f]	72	self.menu1.AppendCheckItem(id3, "park")
[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]
[9e27de9]	257	print "fitting",model.name,modelname, values
[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
[3215d32]	278	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
[4af20b4]	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 \
[3215d32]	292	complete " , 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
[3215d32]	301	print "single-->result",pars,cpage,str(result),result.parameters,result.fitness,result.stderr
[89032bf]	302	#print "fitting: single fit pars ", pars
[d89f09b]	303	for name in pars:
	304	if result.pvec.__class__==numpy.float64:
[1b07935d]	305	model.setParam(name,result.pvec)
[d89f09b]	306	else:
[1b07935d]	307	model.setParam(name,result.pvec[i])
[442895f]	308	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	309	i += 1
[26bf293]	310	print "fitting result : chisqr",result.fitness
	311	print "fitting result : pvec",result.pvec
	312	print "fitting result : stderr",result.stderr
[4af20b4]	313	print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax
[442895f]	314
[948add7]	315	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[ef8b580]	316	#title="Fitted model 2D "
[4af20b4]	317	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
	318	ymin=ymin, ymax=ymax,
[ef8b580]	319	xmin=xmin, xmax=xmax,title=None)
[d89f09b]	320	except:
[89032bf]	321	#raise
[060b857]	322	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[c62dbbe]	323	return
[d89f09b]	324
[39a365d]	325	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
	326	xmin=None, xmax=None, ymin=None, ymax=None):
[d89f09b]	327	"""
	328	Parameter estimation completed,
	329	display the results to the user
	330	@param alpha: estimated best alpha
	331	@param elapsed: computation time
	332	"""
[3215d32]	333	if cpage!=None:
	334	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
	335	qmin=qmin,qmax=qmax,
	336	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
	337	return
	338	else:
	339	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
	340	complete ", type="stop"))
	341	print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
[d89f09b]	342
[3215d32]	343	try:
	344	for page, value in self.page_finder.iteritems():
	345	if value.get_scheduled()==1:
	346	#fitdata = value.get_data()
	347	list = value.get_model()
	348	model= list[0]
	349
	350	small_out = []
	351	small_cov = []
	352	i = 0
	353	#Separate result in to data corresponding to each page
	354	for p in result.parameters:
	355	model_name,param_name = self.split_string(p.name)
	356	if model.name == model_name:
	357	small_out.append(p.value )
[7ffe36b]	358	if p.stderr==None:
	359	p.stderr=numpy.nan
[3215d32]	360	small_cov.append(p.stderr)
	361	model.setParam(param_name,p.value)
	362	# Display result on each page
[7ffe36b]	363	#print "mmmm",p.value,p.stderr
[3215d32]	364	page.onsetValues(result.fitness, small_out,small_cov)
[7ffe36b]	365	#print "out,err",small_out,small_cov
[3215d32]	366	#Replot model
	367	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
	368	xmin=xmin, xmax=xmax,
	369	ymin=ymin, ymax=ymax)
	370	except:
	371	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
[c62dbbe]	372	return
[e9b4cc4]	373
[4af20b4]	374	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
[d89f09b]	375	"""
	376	perform fit for the current page and return chisqr,out and cov
	377	@param engineName: type of fit to be performed
	378	@param id: unique id corresponding to a fit problem(model, set of data)
	379	@param model: model to fit
	380
	381	"""
[948add7]	382	#print "in single fitting"
[d89f09b]	383	#set an engine to perform fit
	384	from sans.fit.Fitting import Fit
	385	self.fitter= Fit(self._fit_engine)
[3b19ac9]	386	#Setting an id to store model and data in fit engine
[3215d32]	387	self.fit_id= 0
[202a7dc3]	388	if id!=None:
	389	self.fit_id= id
	390
[948add7]	391	page_fitted=None
	392	fit_problem=None
[3b19ac9]	393	#Get information (model , data) related to the page on
	394	#with the fit will be perform
[202a7dc3]	395	current_pg=self.fit_panel.get_current_page()
	396	simul_pg=self.fit_panel.GetPage(1 )
[14c707f]	397	pars=[]
[202a7dc3]	398	#for page, value in self.page_finder.iteritems():
	399	if current_pg!= simul_pg:
	400	# if value.get_scheduled() ==1 :
	401	value = self.page_finder[current_pg]
	402	metadata = value.get_data()
	403	list = value.get_model()
	404	model = list[0]
	405	smearer= value.get_smearer()
	406	print "single fit", model, smearer
	407	#Create list of parameters for fitting used
[e9b4cc4]	408
[202a7dc3]	409	templist=[]
	410	try:
	411	#templist=current_pg.get_param_list()
	412	templist=current_pg.get_param_list()
	413	for element in templist:
	414	pars.append(str(element[0].GetLabelText()))
	415	pars.sort()
	416	print "single fit start pars:", pars
	417	#Do the single fit
	418	self.fitter.set_model(Model(model), self.fit_id, pars)
	419	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
	420
	421	self.fitter.set_data(data=metadata,Uid=self.fit_id,
	422	smearer=smearer,qmin= qmin,qmax=qmax,
	423	ymin=ymin,ymax=ymax)
	424	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	425	page_fitted=current_pg
[3215d32]	426	#self.fit_id+=1
[202a7dc3]	427	#self.schedule_for_fit( 0,value)
	428	except:
[3215d32]	429	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
[202a7dc3]	430	return
	431	# make sure to keep an alphabetic order
	432	#of parameter names in the list
	433	try:
	434	# If a thread is already started, stop it
	435	if self.calc_thread != None and self.calc_thread.isrunning():
	436	self.calc_thread.stop()
	437
	438	self.calc_thread =FitThread(parent =self.parent,
	439	fn= self.fitter,
	440	pars= pars,
	441	cpage= page_fitted,
	442	qmin=qmin,
	443	qmax=qmax,
	444
	445	completefn=self._single_fit_completed,
	446	updatefn=None)
	447	self.calc_thread.queue()
	448	self.calc_thread.ready(2.5)
	449	#while not self.done:
	450	#print "when here"
	451	# time.sleep(1)
	452
	453
	454	except:
	455	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	456	return
[d89f09b]	457
[9d31a8b]	458	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	459	"""
	460	perform fit for all the pages selected on simpage and return chisqr,out and cov
	461	@param engineName: type of fit to be performed
	462	@param id: unique id corresponding to a fit problem(model, set of data)
	463	in park_integration
	464	@param model: model to fit
	465
	466	"""
	467	#set an engine to perform fit
	468	from sans.fit.Fitting import Fit
	469	self.fitter= Fit(self._fit_engine)
[3215d32]	470	self.fit_id= 0
[d89f09b]	471	#Setting an id to store model and data
[202a7dc3]	472	if id!=None:
	473	self.fit_id= id
	474
[3b19ac9]	475
[d89f09b]	476	for page, value in self.page_finder.iteritems():
	477	try:
[948add7]	478	if value.get_scheduled()==1:
[9d31a8b]	479	metadata = value.get_data()
[3b19ac9]	480	list = value.get_model()
	481	model= list[0]
[d89f09b]	482	#Create dictionary of parameters for fitting used
[3215d32]	483	cpage= page
	484	print ""
[d89f09b]	485	pars = []
	486	templist = []
[3b19ac9]	487	templist = page.get_param_list()
[d89f09b]	488	for element in templist:
	489	try:
	490	name = str(element[0].GetLabelText())
	491	pars.append(name)
	492	except:
[3215d32]	493	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	494	return
[c80c06f]	495	# need to check this print "new model "
[9e27de9]	496
[00561739]	497	new_model=Model(model)
[8e81af0]	498	param=value.get_model_param()
	499
	500	if len(param)>0:
	501	for item in param:
	502	param_value = item[1]
	503	param_name = item[0]
	504	#print "fitting ", param,param_name, param_value
	505
	506	#new_model.set( model.getParam(param_name[0])= param_value)
	507	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	508	#new_model.set( exec "%s"%(param_nam) = param_value)
	509	new_model.parameterset[ param_name].set( param_value )
[9e27de9]	510
	511	self.fitter.set_model(new_model, self.fit_id, pars)
[3215d32]	512	print "sim-->model",metadata,model,self.fit_id, pars
[9e27de9]	513	#self.fitter.set_model(Model(model), self.fit_id, pars)
[202a7dc3]	514	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
[14c707f]	515	print "sim---->value of problem",value.get_scheduled()
[202a7dc3]	516	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	517	self.fit_id += 1
[9e27de9]	518	value.clear_model_param()
[3215d32]	519	#self.schedule_for_fit( 0,value)
[d89f09b]	520	except:
[3215d32]	521	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[3b19ac9]	522	return
[dabb633]	523	#Do the simultaneous fit
[d89f09b]	524	try:
[e9b4cc4]	525	# If a thread is already started, stop it
	526	if self.calc_thread != None and self.calc_thread.isrunning():
	527	self.calc_thread.stop()
[3215d32]	528	if self.fit_id==1:
	529	self.calc_thread =FitThread(parent =self.parent,
	530	fn= self.fitter,
	531	qmin=qmin,
	532	qmax=qmax,
	533	ymin= ymin,
	534	ymax= ymax,
	535	cpage=cpage,
	536	pars= pars,
	537	completefn= self._simul_fit_completed,
	538	updatefn=None)
	539
	540	else:
	541	self.calc_thread =FitThread(parent =self.parent,
[e9b4cc4]	542	fn= self.fitter,
	543	qmin=qmin,
	544	qmax=qmax,
	545	ymin= ymin,
	546	ymax= ymax,
	547	completefn= self._simul_fit_completed,
	548	updatefn=None)
	549	self.calc_thread.queue()
	550	self.calc_thread.ready(2.5)
	551
[d89f09b]	552	except:
[3215d32]	553	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	554	return
[3b19ac9]	555
	556
	557	def _onset_engine(self,event):
	558	""" set engine to scipy"""
	559	if self._fit_engine== 'park':
	560	self._on_change_engine('scipy')
	561	else:
	562	self._on_change_engine('park')
	563	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	564
	565
[d89f09b]	566	def _on_change_engine(self, engine='park'):
	567	"""
	568	Allow to select the type of engine to perform fit
	569	@param engine: the key work of the engine
	570	"""
	571	self._fit_engine = engine
	572
	573
	574	def _on_model_panel(self, evt):
	575	"""
	576	react to model selection on any combo box or model menu.plot the model
	577	"""
[e1a310f]	578
[d89f09b]	579	model = evt.model
	580	name = evt.name
[32d802f]	581
[264df67]	582	print "name fitting", name
[94999eb]	583	sim_page=self.fit_panel.GetPage(1)
[d89f09b]	584	current_pg = self.fit_panel.get_current_page()
	585	if current_pg != sim_page:
	586	current_pg.set_panel(model)
[ef8b580]	587	#model.name = self.page_finder[current_pg].get_name()
	588	#print "model name", model.name
	589	model.name="M"+str(self.index_model)
[d89f09b]	590	try:
[bcd6d51]	591	metadata=self.page_finder[current_pg].get_data()
[264df67]	592	M_name=model.name+"= "+name+"("+metadata.group_id+")"
[ef8b580]	593	except:
	594	M_name=model.name+"= "+name
[d89f09b]	595	self.index_model += 1
[ef8b580]	596
	597
[6bcdad1]	598	# save model name
[442895f]	599
[6bcdad1]	600	# save the name containing the data name with the appropriate model
[1b07935d]	601	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	602	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	603	sim_page.add_model(self.page_finder)
	604
[08b9c6c8]	605	def set_smearer(self,smearer):
	606	current_pg=self.fit_panel.get_current_page()
	607	self.page_finder[current_pg].set_smearer(smearer)
	608
[d89f09b]	609	def redraw_model(self,qmin= None,qmax= None):
	610	"""
	611	Draw a theory according to model changes or data range.
	612	@param qmin: the minimum value plotted for theory
	613	@param qmax: the maximum value plotted for theory
	614	"""
	615	current_pg=self.fit_panel.get_current_page()
	616	for page, value in self.page_finder.iteritems():
	617	if page ==current_pg :
	618	break
	619	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	620
[89032bf]	621	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
[4af20b4]	622	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
[d89f09b]	623	"""
	624	Plot a theory given a model and data
	625	@param model: the model from where the theory is derived
	626	@param currpage: page in a dictionary referring to some data
	627	"""
[26bf293]	628	if self.fit_panel.GetPageCount() >1:
[d89f09b]	629	for page in self.page_finder.iterkeys():
	630	if page==currpage :
[bcd6d51]	631	data=self.page_finder[page].get_data()
	632	list=self.page_finder[page].get_model()
	633	model=list[0]
[d89f09b]	634	break
[26bf293]	635	print "model in fitting",model
[693ab78]	636	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	637	theory = Theory1D(x=[], y=[])
[6bcdad1]	638	theory.name = model.name
[d89f09b]	639	theory.group_id = data.group_id
[ef8b580]	640	"""
[264df67]	641	if hasattr(data, "id"):
	642	import string
	643	if string.find("Model",data.id )!=None:
	644	#allow plotting on the same panel
	645	theory.id =str(data.id )+" "+str(self.index_theory)
	646	self.index_theory +=1
	647	else:
[ef8b580]	648	"""
	649	theory.id = "Model"
[264df67]	650
[d89f09b]	651	x_name, x_units = data.get_xaxis()
	652	y_name, y_units = data.get_yaxis()
	653	theory.xaxis(x_name, x_units)
	654	theory.yaxis(y_name, y_units)
	655	if qmin == None :
	656	qmin = min(data.x)
	657	if qmax == None :
[4af20b4]	658	qmax = max(data.x)
[d89f09b]	659	try:
	660	tempx = qmin
[1b07935d]	661	tempy = model.run(qmin)
[d89f09b]	662	theory.x.append(tempx)
	663	theory.y.append(tempy)
	664	except :
	665	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	666	skipping point x %g %s" %(qmin, sys.exc_value)))
	667
	668	for i in range(len(data.x)):
	669	try:
[f69bc394]	670	if data.x[i]> qmin and data.x[i]< qmax:
[d89f09b]	671	tempx = data.x[i]
[1b07935d]	672	tempy = model.run(tempx)
[d89f09b]	673	theory.x.append(tempx)
	674	theory.y.append(tempy)
[04edd0d]	675
[d89f09b]	676	except:
	677	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	678	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	679	try:
	680	tempx = qmax
[1b07935d]	681	tempy = model.run(qmax)
[d89f09b]	682	theory.x.append(tempx)
	683	theory.y.append(tempy)
	684	except:
[00561739]	685	wx.PostEvent(self.parent, StatusEvent(status="fitting \
[32d802f]	686	skipping point x %g %s" %(qmin, sys.exc_value)) )
	687	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	688	title=str(data.name)))
[6f73a08]	689	else:
[89032bf]	690
[dc317d1]	691	theory=Data2D(data.data, data.err_data)
[6bcdad1]	692	theory.name= model.name
[89032bf]	693	if title !=None:
	694	self.title = title
	695	theory.id= self.title
	696	theory.group_id= self.title+data.name
	697	else:
	698	self.title= "Analytical model 2D "
	699	theory.id= "Model"
	700	theory.group_id= "Model"+data.name
[6f73a08]	701	theory.x_bins= data.x_bins
	702	theory.y_bins= data.y_bins
	703	tempy=[]
[22210ef]	704	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
[17fc6f8]	705	if qmin==None:
[bd82069]	706	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
[17fc6f8]	707	if qmax==None:
[4af20b4]	708	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
	709	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
[17fc6f8]	710	if ymin==None:
	711	ymin=data.ymin
	712	if ymax==None:
	713	ymax=data.ymax
[4af20b4]	714	if xmin ==None:
	715	xmin=data.xmin
	716	if xmax==None:
[f69bc394]	717	xmax=data.xmax
	718
[57668f8]	719	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[4af20b4]	720	for j in range(len(data.y_bins)):
	721	for i in range(len(data.x_bins)):
	722	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
[bd82069]	723	if tempqij>= qmin and tempqij<= qmax:
	724	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
	725	else:
	726	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
[f69bc394]	727	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
[44bbf6a]	728	#print "fitting : plot_helper:", theory.image
[2dbb681]	729	#print "fitting : plot_helper:",theory.image
[1f62278]	730	theory.detector= data.detector
	731	theory.source= data.source
[22210ef]	732
[d0eac66]	733	theory.qmin= qmin
	734	theory.qmax= qmax
[4274c0e]	735	theory.ymin= ymin
	736	theory.ymax= ymax
[d0eac66]	737	theory.xmin= xmin
	738	theory.xmax= xmax
[04edd0d]	739
[32d802f]	740	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[89032bf]	741	title=self.title +str(data.name)))
[6f73a08]	742
	743
[d89f09b]	744	def _on_model_menu(self, evt):
	745	"""
	746	Plot a theory from a model selected from the menu
	747	"""
[86c1832]	748	name = evt.model.__name__
	749	if hasattr(evt.model, "name"):
	750	name = evt.model.name
[32d802f]	751	print "on model menu", name
[b2c3225]	752	model=evt.model()
[2dbb681]	753	description=model.description
[3dc83be]	754
	755	# Create a model page. If a new page is created, the model
	756	# will be plotted automatically. If a page already exists,
	757	# the content will be updated and the plot refreshed
	758	self.fit_panel.add_model_page(model,description,name,topmenu=True)
[1b07935d]	759
[26bf293]	760	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
[cfc68540]	761	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[3b19ac9]	762	"""
	763	draw model with default data value
	764	"""
[26bf293]	765	if data !=None:
	766	self.redraw_model(qmin,qmax)
	767	return
[d74d751]	768	self._draw_model2D(model=model,
	769	description=model.description,
	770	enable2D= enable2D,
	771	qmin=qmin,
	772	qmax=qmax,
[c48a26a]	773	qstep=qstep)
[86c1832]	774	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
[cfc68540]	775
	776	def _draw_model1D(self,model,name,description=None, enable1D=True,
	777	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[e5a9e32]	778
[d250f7d]	779	if enable1D:
[d15c0202]	780	x= numpy.linspace(start= qmin,
	781	stop= qmax,
	782	num= qstep,
	783	endpoint=True
	784	)
[f39511b]	785	xlen= len(x)
	786	y = numpy.zeros(xlen)
[d250f7d]	787	if not enable1D:
[f39511b]	788	for i in range(xlen):
	789	y[i] = model.run(x[i])
[d15c0202]	790
[f39511b]	791	try:
	792	new_plot = Theory1D(x, y)
[32d802f]	793
[86c1832]	794	new_plot.name = name
[f39511b]	795	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	796	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	797	new_plot.id = "Model"
	798	new_plot.group_id ="Model"
[f39511b]	799	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	800	except:
[32d802f]	801	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	802	#raise
[f39511b]	803	else:
	804	for i in range(xlen):
	805	y[i] = model.run(x[i])
[d15c0202]	806	#print x, y
[f39511b]	807	try:
	808	new_plot = Theory1D(x, y)
[32d802f]	809	print "draw model 1D", name
[86c1832]	810	new_plot.name = name
[f39511b]	811	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	812	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	813	new_plot.id ="Model"
	814	new_plot.group_id ="Model"
[3dc83be]	815
	816	# Pass the reset flag to let the plotting event handler
	817	# know that we are replacing the whole plot
[6bcdad1]	818	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[3dc83be]	819	title="Analytical model 1D ", reset=True ))
[f39511b]	820
	821	except:
[32d802f]	822	#raise
	823	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
[e9b4cc4]	824	def update(self, output,time):
	825	pass
[20be946]	826
[b2c6d23]	827	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
[26bf293]	828
[20be946]	829	wx.PostEvent(self.parent, StatusEvent(status="Calc \
[f343069]	830	complete in %g sec" % elapsed, type="stop"))
[d15c0202]	831	#print "complete",output, model,qmin, qmax
[20be946]	832	data = output
[13e120a]	833	temp= numpy.zeros(numpy.shape(data))
	834	temp[temp==0]=1
	835	theory= Data2D(image=data, err_image=temp)
	836
[d15c0202]	837	from DataLoader.data_info import Detector, Source
	838
	839	detector = Detector()
	840	theory.detector=[]
[7b758fd]	841	theory.detector.append(detector)
[d15c0202]	842
[ac2cc940]	843	theory.detector[0].distance=1e+32#13705.0
[d15c0202]	844	theory.source= Source()
[ac2cc940]	845	theory.source.wavelength=2*math.pi/1e+32#8.4
[13e120a]	846	theory.x_bins =[]
	847	theory.y_bins =[]
[ac2cc940]	848	#Now qmax is xmax.
	849	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
	850	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
	851	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
	852	theory.detector[0].beam_center.x= qmax
	853	theory.detector[0].beam_center.y= qmax
	854	#print "xmax,qmax",xmax,qmax
[13e120a]	855	# compute x_bins and y_bins
	856	# Qx and Qy vectors
	857
	858	distance = theory.detector[0].distance
	859	pixel = qstep/2-1
[7b758fd]	860	theta = pixel / distance / qstep#100.0
[13e120a]	861	wavelength = theory.source.wavelength
	862	pixel_width_x = theory.detector[0].pixel_size.x
	863	pixel_width_y = theory.detector[0].pixel_size.y
	864	center_x = theory.detector[0].beam_center.x/pixel_width_x
	865	center_y = theory.detector[0].beam_center.y/pixel_width_y
[d15c0202]	866
[13e120a]	867
	868	size_x, size_y= numpy.shape(theory.data)
[ac2cc940]	869	#print "size_x,size_y",size_x, size_y
[7b758fd]	870	#This case, q and x are equivalent to each other.
[13e120a]	871	for i_x in range(size_x):
[ac2cc940]	872	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
	873	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	874	theory.x_bins.append(qx)
	875	for i_y in range(size_y):
[ac2cc940]	876	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
	877	qy =4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	878	theory.y_bins.append(qy)
	879
	880	#theory.err_data= numpy.
[20be946]	881	theory.name= model.name
	882	theory.group_id ="Model"
	883	theory.id ="Model"
[22210ef]	884
	885
	886
[f69bc394]	887	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
	888	theory.xmax= qmax#/math.sqrt(2)
	889	theory.ymin= -qmax#/math.sqrt(2)
	890	theory.ymax= qmax#/math.sqrt(2)
[b2c6d23]	891
[89032bf]	892	print "model draw comptele xmax",theory.xmax,model.name
[20be946]	893	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[32d802f]	894	title="Analytical model 2D ", reset=True ))
[20be946]	895
	896
	897
[cfc68540]	898	def _draw_model2D(self,model,description=None, enable2D=False,
	899	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[d15c0202]	900
	901	x= numpy.linspace(start= -1*qmax,
	902	stop= qmax,
	903	num= qstep,
	904	endpoint=True )
	905	y = numpy.linspace(start= -1*qmax,
	906	stop= qmax,
	907	num= qstep,
	908	endpoint=True )
	909
[dc317d1]	910	lx = len(x)
[1c5b068]	911	#print x
[dc317d1]	912	data=numpy.zeros([len(x),len(y)])
[20be946]	913	self.model= model
[dc317d1]	914	if enable2D:
[9dd69ec]	915	from sans.guiframe.model_thread import Calc2D
[d15c0202]	916	self.calc_thread = Calc2D(parent =self.parent,x=x,
	917	y=y,model= self.model,
	918	qmin=qmin,
	919	qmax=qmax,
[b2c6d23]	920	qstep=qstep,
[20be946]	921	completefn=self.complete,
[e9b4cc4]	922	updatefn=None)
[20be946]	923	self.calc_thread.queue()
	924	self.calc_thread.ready(2.5)
[89032bf]	925
	926	def show_panel2D(self, id=None ):
[32d802f]	927	self.parent.show_panel(self.model2D_id)
[20be946]	928
[db709e4]	929
[d89f09b]	930	if __name__ == "__main__":
	931	i = Plugin()
	932
	933
	934
	935

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 50c769e

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