new_fitting.py @ 1374fbe4

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 1374fbe4 was c80c06f, checked in by Gervaise Alina <gervyh@…>, 16 years ago
refactore panels
Property mode set to `100644`
File size: 33.1 KB

Rev	Line
[c80c06f]	1	import os,os.path, re
	2	import sys, wx, logging
	3	import string, numpy, math
	4
	5	from copy import deepcopy
	6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
	7	from danse.common.plottools.PlotPanel import PlotPanel
	8	from sans.guicomm.events import NewPlotEvent, StatusEvent
	9	from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL
	10
	11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
	12	from fitproblem import FitProblem
	13	from fitpanel import FitPanel
	14	from fit_thread import FitThread
	15	import models,modelpage
	16	import fitpage1D,fitpage2D
	17	import park
	18	DEFAULT_BEAM = 0.005
	19	DEFAULT_QMIN = 0.0
	20	DEFAULT_QMAX = 0.15
	21	DEFAULT_NPTS = 40
	22	import time
	23	import thread
	24	print "main",thread.get_ident()
	25
	26	class Plugin:
	27	"""
	28	Fitting plugin is used to perform fit
	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 = []
	39	self.mypanels=[]
	40	self.calc_thread = None
	41	self.done = False
	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
	49	self._fit_engine = 'scipy'
	50	self.enable_model2D=False
	51	# Log startup
	52	logging.info("Fitting plug-in started")
	53	# model 2D view
	54	self.model2D_id=None
	55
	56	def populate_menu(self, id, owner):
	57	"""
	58	Create a menu for the Fitting plug-in
	59	@param id: id to create a menu
	60	@param owner: owner of menu
	61	@ return : list of information to populate the main menu
	62	"""
	63	self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show)
	64	#Menu for fitting
	65	self.menu1 = wx.Menu()
	66	id1 = wx.NewId()
	67	self.menu1.Append(id1, '&Show fit panel')
	68	wx.EVT_MENU(owner, id1, self.on_perspective)
	69	id3 = wx.NewId()
	70	self.menu1.AppendCheckItem(id3, "park")
	71	wx.EVT_MENU(owner, id3, self._onset_engine)
	72
	73	#menu for model
	74	menu2 = wx.Menu()
	75
	76	self.menu_mng.populate_menu(menu2, owner)
	77	id2 = wx.NewId()
	78	owner.Bind(models.EVT_MODEL,self._on_model_menu)
	79	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
	80	self.fit_panel.set_owner(owner)
	81	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
	82	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
	83	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
	84	#create menubar items
	85	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	86
	87
	88	def help(self, evt):
	89	"""
	90	Show a general help dialog.
	91	TODO: replace the text with a nice image
	92	"""
	93	from helpDialog import HelpWindow
	94	dialog = HelpWindow(None, -1, 'HelpWindow')
	95	if dialog.ShowModal() == wx.ID_OK:
	96	pass
	97	dialog.Destroy()
	98
	99
	100	def get_context_menu(self, graph=None):
	101	"""
	102	Get the context menu items available for P(r)
	103	@param graph: the Graph object to which we attach the context menu
	104	@return: a list of menu items with call-back function
	105	"""
	106	self.graph=graph
	107	for item in graph.plottables:
	108	if item.__class__.__name__ is "Data2D":
	109	return [["Select data for Fitting",\
	110	"Dialog with fitting parameters ", self._onSelect]]
	111	else:
	112	if item.name==graph.selected_plottable and\
	113	item.__class__.__name__ is "Data1D":
	114	return [["Select data for Fitting", \
	115	"Dialog with fitting parameters ", self._onSelect]]
	116	return []
	117
	118
	119	def get_panels(self, parent):
	120	"""
	121	Create and return a list of panel objects
	122	"""
	123	self.parent = parent
	124	# Creation of the fit panel
	125	self.fit_panel = FitPanel(self.parent, -1)
	126	#Set the manager forthe main panel
	127	self.fit_panel.set_manager(self)
	128	# List of windows used for the perspective
	129	self.perspective = []
	130	self.perspective.append(self.fit_panel.window_name)
	131	# take care of saving data, model and page associated with each other
	132	self.page_finder = {}
	133	#index number to create random model name
	134	self.index_model = 0
	135	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	136
	137	#create the fitting panel
	138	#return [self.fit_panel]
	139
	140	self.mypanels.append(self.fit_panel)
	141	return self.mypanels
	142	def _on_model2D_show(self, event ):
	143	print "model2D get the id ", event.id
	144	def _on_slicer_event(self, event):
	145	print "fitting:slicer event ", event.panel
	146	new_panel = event.panel
	147	# Set group ID if available
	148	event_id = self.parent.popup_panel(new_panel)
	149	self.menu1.Append(event_id, new_panel.window_caption,
	150	"Show %s plot panel" % new_panel.window_caption)
	151	# Set UID to allow us to reference the panel later
	152	new_panel.uid = event_id
	153	new_panel
	154	self.mypanels.append(new_panel)
	155	return
	156	def _on_show_panel(self, event):
	157	print "_on_show_panel: fitting"
	158
	159	def get_perspective(self):
	160	"""
	161	Get the list of panel names for this perspective
	162	"""
	163	return self.perspective
	164
	165
	166	def on_perspective(self, event):
	167	"""
	168	Call back function for the perspective menu item.
	169	We notify the parent window that the perspective
	170	has changed.
	171	"""
	172	self.parent.set_perspective(self.perspective)
	173
	174
	175	def post_init(self):
	176	"""
	177	Post initialization call back to close the loose ends
	178	[Somehow openGL needs this call]
	179	"""
	180	self.parent.set_perspective(self.perspective)
	181
	182
	183	def _onSelect(self,event):
	184	"""
	185	when Select data to fit a new page is created .Its reference is
	186	added to self.page_finder
	187	"""
	188	self.panel = event.GetEventObject()
	189	for item in self.panel.graph.plottables:
	190	if item.name == self.panel.graph.selected_plottable or\
	191	item.__class__.__name__ is "Data2D":
	192	#find a name for the page created for notebook
	193	try:
	194	page, model_name = self.fit_panel.add_fit_page(item)
	195	# add data associated to the page created
	196
	197	if page !=None:
	198	#create a fitproblem storing all link to data,model,page creation
	199	self.page_finder[page]= FitProblem()
	200	self.page_finder[page].save_model_name(model_name)
	201	self.page_finder[page].add_data(item)
	202	except:
	203	raise
	204	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	205	%sys.exc_value))
	206	def schedule_for_fit(self,value=0,fitproblem =None):
	207	"""
	208
	209	"""
	210	if fitproblem !=None:
	211	fitproblem.schedule_tofit(value)
	212	else:
	213	current_pg=self.fit_panel.get_current_page()
	214	for page, val in self.page_finder.iteritems():
	215	if page ==current_pg :
	216	val.schedule_tofit(value)
	217	break
	218
	219
	220	def get_page_finder(self):
	221	""" @return self.page_finder used also by simfitpage.py"""
	222	return self.page_finder
	223
	224
	225	def set_page_finder(self,modelname,names,values):
	226	"""
	227	Used by simfitpage.py to reset a parameter given the string constrainst.
	228	@param modelname: the name ot the model for with the parameter has to reset
	229	@param value: can be a string in this case.
	230	@param names: the paramter name
	231	@note: expecting park used for fit.
	232	"""
	233	sim_page=self.fit_panel.get_page(0)
	234	for page, value in self.page_finder.iteritems():
	235	if page != sim_page:
	236	list=value.get_model()
	237	model=list[0]
	238	#print "fitting",model.name,modelname
	239	if model.name== modelname:
	240	value.set_model_param(names,values)
	241	break
	242
	243
	244
	245	def split_string(self,item):
	246	"""
	247	receive a word containing dot and split it. used to split parameterset
	248	name into model name and parameter name example:
	249	paramaterset (item) = M1.A
	250	@return model_name =M1 , parameter name =A
	251	"""
	252	if string.find(item,".")!=-1:
	253	param_names= re.split("\.",item)
	254	model_name=param_names[0]
	255	param_name=param_names[1]
	256	return model_name,param_name
	257
	258
	259	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
	260	"""
	261	Display fit result on one page of the notebook.
	262	@param result: result of fit
	263	@param pars: list of names of parameters fitted
	264	@param current_pg: the page where information will be displayed
	265	@param qmin: the minimum value of x to replot the model
	266	@param qmax: the maximum value of x to replot model
	267
	268	"""
	269	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
	270	#self.done = True
	271	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
	272	try:
	273	for page, value in self.page_finder.iteritems():
	274	if page==cpage :
	275	#fitdata = value.get_data()
	276	list = value.get_model()
	277	model= list[0]
	278	break
	279	i = 0
	280	#print "fitting: single fit pars ", pars
	281	for name in pars:
	282	if result.pvec.__class__==numpy.float64:
	283	model.setParam(name,result.pvec)
	284	else:
	285	model.setParam(name,result.pvec[i])
	286	# print "fitting: single fit", name, result.pvec[i]
	287	i += 1
	288	# print "fitting result : chisqr",result.fitness
	289	# print "fitting result : pvec",result.pvec
	290	# print "fitting result : stderr",result.stderr
	291
	292	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
	293	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax, title="Fitted model 2D ")
	294	except:
	295	#raise
	296	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	297
	298
	299	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
	300	"""
	301	Parameter estimation completed,
	302	display the results to the user
	303	@param alpha: estimated best alpha
	304	@param elapsed: computation time
	305	"""
	306	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
	307	try:
	308	for page, value in self.page_finder.iteritems():
	309	if value.get_scheduled()==1:
	310	#fitdata = value.get_data()
	311	list = value.get_model()
	312	model= list[0]
	313
	314	small_out = []
	315	small_cov = []
	316	i = 0
	317	#Separate result in to data corresponding to each page
	318	for p in result.parameters:
	319	model_name,param_name = self.split_string(p.name)
	320	if model.name == model_name:
	321	small_out.append(p.value )
	322	small_cov.append(p.stderr)
	323	model.setParam(param_name,p.value)
	324	# Display result on each page
	325	page.onsetValues(result.fitness, small_out,small_cov)
	326	#Replot model
	327	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
	328	except:
	329	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	330
	331
	332	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
	333	"""
	334	perform fit for the current page and return chisqr,out and cov
	335	@param engineName: type of fit to be performed
	336	@param id: unique id corresponding to a fit problem(model, set of data)
	337	@param model: model to fit
	338
	339	"""
	340	#print "in single fitting"
	341	#set an engine to perform fit
	342	from sans.fit.Fitting import Fit
	343	self.fitter= Fit(self._fit_engine)
	344	#Setting an id to store model and data in fit engine
	345	if id==None:
	346	id=0
	347	self.id = id
	348	page_fitted=None
	349	fit_problem=None
	350	#Get information (model , data) related to the page on
	351	#with the fit will be perform
	352	#current_pg=self.fit_panel.get_current_page()
	353	#simul_pg=self.fit_panel.get_page(0)
	354
	355	for page, value in self.page_finder.iteritems():
	356	if value.get_scheduled() ==1 :
	357	metadata = value.get_data()
	358	list=value.get_model()
	359	model=list[0]
	360	smearer= value.get_smearer()
	361	print "single fit", model, smearer
	362	#Create list of parameters for fitting used
	363	pars=[]
	364	templist=[]
	365	try:
	366	#templist=current_pg.get_param_list()
	367	templist=page.get_param_list()
	368	for element in templist:
	369	pars.append(str(element[0].GetLabelText()))
	370	pars.sort()
	371	#print "single fit start pars:", pars
	372	#Do the single fit
	373	self.fitter.set_model(Model(model), self.id, pars)
	374
	375	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
	376	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	377	page_fitted=page
	378	self.id+=1
	379	self.schedule_for_fit( 0,value)
	380	except:
	381	raise
	382	#wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	383	return
	384	# make sure to keep an alphabetic order
	385	#of parameter names in the list
	386	try:
	387	# If a thread is already started, stop it
	388	if self.calc_thread != None and self.calc_thread.isrunning():
	389	self.calc_thread.stop()
	390
	391	self.calc_thread =FitThread(parent =self.parent,
	392	fn= self.fitter,
	393	pars= pars,
	394	cpage= page_fitted,
	395	qmin=qmin,
	396	qmax=qmax,
	397	ymin= ymin,
	398	ymax= ymax,
	399	completefn=self._single_fit_completed,
	400	updatefn=None)
	401	self.calc_thread.queue()
	402	self.calc_thread.ready(2.5)
	403	#while not self.done:
	404	#print "when here"
	405	# time.sleep(1)
	406
	407
	408	except:
	409	raise
	410	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	411	return
	412
	413	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
	414	"""
	415	perform fit for all the pages selected on simpage and return chisqr,out and cov
	416	@param engineName: type of fit to be performed
	417	@param id: unique id corresponding to a fit problem(model, set of data)
	418	in park_integration
	419	@param model: model to fit
	420
	421	"""
	422	#set an engine to perform fit
	423	from sans.fit.Fitting import Fit
	424	self.fitter= Fit(self._fit_engine)
	425
	426	#Setting an id to store model and data
	427	if id==None:
	428	id = 0
	429	self.id = id
	430
	431	for page, value in self.page_finder.iteritems():
	432	try:
	433	if value.get_scheduled()==1:
	434	metadata = value.get_data()
	435	list = value.get_model()
	436	model= list[0]
	437	#Create dictionary of parameters for fitting used
	438	pars = []
	439	templist = []
	440	templist = page.get_param_list()
	441	for element in templist:
	442	try:
	443	name = str(element[0].GetLabelText())
	444	pars.append(name)
	445	except:
	446	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	447	return
	448	# need to check this print "new model "
	449	new_model=Model(model)
	450	param=value.get_model_param()
	451
	452	if len(param)>0:
	453	for item in param:
	454	param_value = item[1]
	455	param_name = item[0]
	456	#print "fitting ", param,param_name, param_value
	457
	458	#new_model.set( model.getParam(param_name[0])= param_value)
	459	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	460	#new_model.set( exec "%s"%(param_nam) = param_value)
	461	new_model.parameterset[ param_name].set( param_value )
	462
	463	self.fitter.set_model(new_model, self.id, pars)
	464	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
	465	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	466	self.id += 1
	467	except:
	468	#raise
	469	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	470	return
	471	#Do the simultaneous fit
	472	try:
	473	# If a thread is already started, stop it
	474	if self.calc_thread != None and self.calc_thread.isrunning():
	475	self.calc_thread.stop()
	476
	477	self.calc_thread =FitThread(parent =self.parent,
	478	fn= self.fitter,
	479	qmin=qmin,
	480	qmax=qmax,
	481	ymin= ymin,
	482	ymax= ymax,
	483	completefn= self._simul_fit_completed,
	484	updatefn=None)
	485	self.calc_thread.queue()
	486	self.calc_thread.ready(2.5)
	487
	488	except:
	489	#raise
	490	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	491	return
	492
	493
	494	def _onset_engine(self,event):
	495	""" set engine to scipy"""
	496	if self._fit_engine== 'park':
	497	self._on_change_engine('scipy')
	498	else:
	499	self._on_change_engine('park')
	500	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	501
	502
	503	def _on_change_engine(self, engine='park'):
	504	"""
	505	Allow to select the type of engine to perform fit
	506	@param engine: the key work of the engine
	507	"""
	508	self._fit_engine = engine
	509
	510
	511	def _on_model_panel(self, evt):
	512	"""
	513	react to model selection on any combo box or model menu.plot the model
	514	"""
	515
	516	model = evt.model
	517	name = evt.name
	518
	519	sim_page=self.fit_panel.GetPage(0)
	520	current_pg = self.fit_panel.get_current_page()
	521	if current_pg != sim_page:
	522	current_pg.set_panel(model)
	523	model.name = self.page_finder[current_pg].get_name()
	524	try:
	525	metadata=self.page_finder[current_pg].get_data()
	526	M_name=model.name+"= "+name+"("+metadata.group_id+")"
	527	except:
	528	M_name=model.name+"= "+name
	529	#model.name="M"+str(self.index_model)
	530	self.index_model += 1
	531	# save model name
	532
	533	# save the name containing the data name with the appropriate model
	534	self.page_finder[current_pg].set_model(model,M_name)
	535	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	536	sim_page.add_model(self.page_finder)
	537
	538	def set_smearer(self,smearer):
	539	current_pg=self.fit_panel.get_current_page()
	540	self.page_finder[current_pg].set_smearer(smearer)
	541
	542	def redraw_model(self,qmin= None,qmax= None):
	543	"""
	544	Draw a theory according to model changes or data range.
	545	@param qmin: the minimum value plotted for theory
	546	@param qmax: the maximum value plotted for theory
	547	"""
	548	current_pg=self.fit_panel.get_current_page()
	549	for page, value in self.page_finder.iteritems():
	550	if page ==current_pg :
	551	break
	552	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	553
	554	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
	555	ymin=None,ymax=None, title=None ):
	556	"""
	557	Plot a theory given a model and data
	558	@param model: the model from where the theory is derived
	559	@param currpage: page in a dictionary referring to some data
	560	"""
	561	if self.fit_panel.GetPageCount() >1:
	562	for page in self.page_finder.iterkeys():
	563	if page==currpage :
	564	data=self.page_finder[page].get_data()
	565	list=self.page_finder[page].get_model()
	566	model=list[0]
	567	break
	568
	569	if data!=None and data.__class__.__name__ != 'Data2D':
	570	theory = Theory1D(x=[], y=[])
	571	theory.name = model.name
	572	theory.group_id = data.group_id
	573	theory.id = "Model"
	574	x_name, x_units = data.get_xaxis()
	575	y_name, y_units = data.get_yaxis()
	576	theory.xaxis(x_name, x_units)
	577	theory.yaxis(y_name, y_units)
	578	if qmin == None :
	579	qmin = min(data.x)
	580	if qmax == None :
	581	qmax = max(data.x)
	582	try:
	583	tempx = qmin
	584	tempy = model.run(qmin)
	585	theory.x.append(tempx)
	586	theory.y.append(tempy)
	587	except :
	588	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	589	skipping point x %g %s" %(qmin, sys.exc_value)))
	590
	591	for i in range(len(data.x)):
	592	try:
	593	if data.x[i]> qmin and data.x[i]< qmax:
	594	tempx = data.x[i]
	595	tempy = model.run(tempx)
	596	theory.x.append(tempx)
	597	theory.y.append(tempy)
	598
	599	except:
	600	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	601	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	602	try:
	603	tempx = qmax
	604	tempy = model.run(qmax)
	605	theory.x.append(tempx)
	606	theory.y.append(tempy)
	607	except:
	608	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	609	skipping point x %g %s" %(qmin, sys.exc_value)) )
	610	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	611	title=str(data.name)))
	612	else:
	613
	614	theory=Data2D(data.data, data.err_data)
	615	theory.name= model.name
	616	if title !=None:
	617	self.title = title
	618	theory.id= self.title
	619	theory.group_id= self.title+data.name
	620	else:
	621	self.title= "Analytical model 2D "
	622	theory.id= "Model"
	623	theory.group_id= "Model"+data.name
	624	theory.x_bins= data.x_bins
	625	theory.y_bins= data.y_bins
	626	tempy=[]
	627	if qmin==None:
	628	qmin=data.xmin
	629	if qmax==None:
	630	qmax=data.xmax
	631	if ymin==None:
	632	ymin=data.ymin
	633	if ymax==None:
	634	ymax=data.ymax
	635
	636	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
	637	for i in range(len(data.y_bins)):
	638	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	639	for j in range(len(data.x_bins)):
	640	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
	641	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
	642
	643	#print "fitting : plot_helper:", theory.image
	644	#print data.image
	645	#print "fitting : plot_helper:",theory.image
	646	theory.detector= data.detector
	647	theory.source= data.source
	648	theory.zmin= data.zmin
	649	theory.zmax= data.zmax
	650	theory.xmin= qmin
	651	theory.xmax= qmax
	652	theory.ymin= ymin
	653	theory.ymax= ymax
	654
	655	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	656	title=self.title +str(data.name)))
	657
	658
	659	def _on_model_menu(self, evt):
	660	"""
	661	Plot a theory from a model selected from the menu
	662	"""
	663	name = evt.model.__name__
	664	if hasattr(evt.model, "name"):
	665	name = evt.model.name
	666	print "on model menu", name
	667	model=evt.model()
	668	description=model.description
	669
	670	# Create a model page. If a new page is created, the model
	671	# will be plotted automatically. If a page already exists,
	672	# the content will be updated and the plot refreshed
	673	self.fit_panel.add_model_page(model,description,name,topmenu=True)
	674
	675	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
	676	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
	677	"""
	678	draw model with default data value
	679	"""
	680	if data !=None:
	681	self.redraw_model(qmin,qmax)
	682	return
	683	self._draw_model2D(model=model,
	684	description=model.description,
	685	enable2D= enable2D,
	686	qmin=qmin,
	687	qmax=qmax,
	688	qstep=qstep)
	689	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
	690
	691	def _draw_model1D(self,model,name,description=None, enable1D=True,
	692	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
	693
	694	if enable1D:
	695	x= numpy.linspace(start= qmin,
	696	stop= qmax,
	697	num= qstep,
	698	endpoint=True
	699	)
	700	xlen= len(x)
	701	y = numpy.zeros(xlen)
	702	if not enable1D:
	703	for i in range(xlen):
	704	y[i] = model.run(x[i])
	705
	706	try:
	707	new_plot = Theory1D(x, y)
	708
	709	new_plot.name = name
	710	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	711	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	712	new_plot.id = "Model"
	713	new_plot.group_id ="Model"
	714	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	715	except:
	716	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	717	#raise
	718	else:
	719	for i in range(xlen):
	720	y[i] = model.run(x[i])
	721	#print x, y
	722	try:
	723	new_plot = Theory1D(x, y)
	724	print "draw model 1D", name
	725	new_plot.name = name
	726	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	727	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	728	new_plot.id ="Model"
	729	new_plot.group_id ="Model"
	730
	731	# Pass the reset flag to let the plotting event handler
	732	# know that we are replacing the whole plot
	733	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	734	title="Analytical model 1D ", reset=True ))
	735
	736	except:
	737	#raise
	738	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	739	def update(self, output,time):
	740	pass
	741
	742	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
	743
	744	wx.PostEvent(self.parent, StatusEvent(status="Calc \
	745	complete in %g sec" % elapsed))
	746	#print "complete",output, model,qmin, qmax
	747	data = output
	748	theory= Data2D(data)
	749	#print data.detector
	750	#theory.detector= data.detector
	751	from DataLoader.data_info import Detector, Source
	752
	753	detector = Detector()
	754	theory.detector=[]
	755	theory.detector.append(detector)
	756
	757	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
	758	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
	759	theory.detector[0].beam_center.x= qmax
	760	theory.detector[0].beam_center.y= qmax
	761	theory.detector[0].distance= 1e+12#13705.0
	762	theory.source= Source()
	763	theory.source.wavelength= 2*math.pi/1e+12#8.4
	764
	765	theory.name= model.name
	766	theory.group_id ="Model"
	767	theory.id ="Model"
	768	theory.xmin= -qmax
	769	theory.xmax= qmax
	770	theory.ymin= -qmax
	771	theory.ymax= qmax
	772
	773	print "model draw comptele xmax",theory.xmax,model.name
	774	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	775	title="Analytical model 2D ", reset=True ))
	776
	777
	778
	779	def _draw_model2D(self,model,description=None, enable2D=False,
	780	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
	781
	782	x= numpy.linspace(start= -1*qmax,
	783	stop= qmax,
	784	num= qstep,
	785	endpoint=True )
	786	y = numpy.linspace(start= -1*qmax,
	787	stop= qmax,
	788	num= qstep,
	789	endpoint=True )
	790
	791	lx = len(x)
	792	#print x
	793	data=numpy.zeros([len(x),len(y)])
	794	self.model= model
	795	if enable2D:
	796	from model_thread import Calc2D
	797	self.calc_thread = Calc2D(parent =self.parent,x=x,
	798	y=y,model= self.model,
	799	qmin=qmin,
	800	qmax=qmax,
	801	qstep=qstep,
	802	completefn=self.complete,
	803	updatefn=None)
	804	self.calc_thread.queue()
	805	self.calc_thread.ready(2.5)
	806
	807	def show_panel2D(self, id=None ):
	808	self.parent.show_panel(self.model2D_id)
	809
	810
	811	if __name__ == "__main__":
	812	i = Plugin()
	813
	814
	815
	816

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SasView

source: sasview/sansview/perspectives/fitting/new_fitting.py @ 1374fbe4

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