fitting.py @ 1c5b068

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 1c5b068 was 1c5b068, checked in by Gervaise Alina <gervyh@…>, 16 years ago
model 2d plotted
Property mode set to `100644`
File size: 28.8 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
[6f73a08]	9	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
[d89f09b]	10	from fitproblem import FitProblem
	11	from fitpanel import FitPanel
	12
[2dbb681]	13	import models,modelpage
[e1a310f]	14	import fitpage1D,fitpage2D
[dabb633]	15	import park
[d250f7d]	16	DEFAULT_BEAM = 0.005
[d89f09b]	17	class Plugin:
	18	"""
[dabb633]	19	Fitting plugin is used to perform fit
[d89f09b]	20	"""
	21	def __init__(self):
	22	## Plug-in name
	23	self.sub_menu = "Fitting"
	24
	25	## Reference to the parent window
	26	self.parent = None
	27	self.menu_mng = models.ModelManager()
	28	## List of panels for the simulation perspective (names)
	29	self.perspective = []
	30	# Start with a good default
	31	self.elapsed = 0.022
	32	self.fitter = None
	33
	34	#Flag to let the plug-in know that it is running standalone
	35	self.standalone=True
	36	## Fit engine
[3b19ac9]	37	self._fit_engine = 'scipy'
[b2c3225]	38	self.enable_model2D=False
[d89f09b]	39	# Log startup
	40	logging.info("Fitting plug-in started")
	41
	42	def populate_menu(self, id, owner):
	43	"""
	44	Create a menu for the Fitting plug-in
	45	@param id: id to create a menu
	46	@param owner: owner of menu
	47	@ return : list of information to populate the main menu
	48	"""
	49	#Menu for fitting
	50	self.menu1 = wx.Menu()
	51	id1 = wx.NewId()
	52	self.menu1.Append(id1, '&Show fit panel')
	53	wx.EVT_MENU(owner, id1, self.on_perspective)
[3b19ac9]	54	id3 = wx.NewId()
[442895f]	55	self.menu1.AppendCheckItem(id3, "park")
[3b19ac9]	56	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	57
	58	#menu for model
	59	menu2 = wx.Menu()
[f39511b]	60
[d89f09b]	61	self.menu_mng.populate_menu(menu2, owner)
	62	id2 = wx.NewId()
	63	owner.Bind(models.EVT_MODEL,self._on_model_menu)
[2dbb681]	64	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
[d89f09b]	65	self.fit_panel.set_owner(owner)
	66	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	67	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[e1a310f]	68	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
[3b19ac9]	69	#create menubar items
[d89f09b]	70	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	71
	72
	73	def help(self, evt):
	74	"""
	75	Show a general help dialog.
	76	TODO: replace the text with a nice image
	77	"""
[d7d143b0]	78	from helpDialog import HelpWindow
	79	dialog = HelpWindow(None, -1, 'HelpWindow')
	80	if dialog.ShowModal() == wx.ID_OK:
	81	pass
	82	dialog.Destroy()
	83
[d89f09b]	84
	85	def get_context_menu(self, graph=None):
	86	"""
	87	Get the context menu items available for P(r)
	88	@param graph: the Graph object to which we attach the context menu
	89	@return: a list of menu items with call-back function
	90	"""
	91	self.graph=graph
	92	for item in graph.plottables:
[693ab78]	93	if item.__class__.__name__ is "Data2D":
[2dbb681]	94	return [["Select data for Fitting",\
	95	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	96	else:
[693ab78]	97	if item.name==graph.selected_plottable and\
	98	item.__class__.__name__ is "Data1D":
[2dbb681]	99	return [["Select data for Fitting", \
	100	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	101	return []
	102
	103
	104	def get_panels(self, parent):
	105	"""
	106	Create and return a list of panel objects
	107	"""
	108	self.parent = parent
	109	# Creation of the fit panel
	110	self.fit_panel = FitPanel(self.parent, -1)
	111	#Set the manager forthe main panel
	112	self.fit_panel.set_manager(self)
	113	# List of windows used for the perspective
	114	self.perspective = []
	115	self.perspective.append(self.fit_panel.window_name)
	116	# take care of saving data, model and page associated with each other
[3b19ac9]	117	self.page_finder = {}
	118	#index number to create random model name
	119	self.index_model = 0
	120	#create the fitting panel
[d89f09b]	121	return [self.fit_panel]
	122
	123
	124	def get_perspective(self):
	125	"""
	126	Get the list of panel names for this perspective
	127	"""
	128	return self.perspective
	129
	130
	131	def on_perspective(self, event):
	132	"""
	133	Call back function for the perspective menu item.
	134	We notify the parent window that the perspective
	135	has changed.
	136	"""
	137	self.parent.set_perspective(self.perspective)
	138
	139
	140	def post_init(self):
	141	"""
	142	Post initialization call back to close the loose ends
	143	[Somehow openGL needs this call]
	144	"""
	145	self.parent.set_perspective(self.perspective)
	146
	147
	148	def _onSelect(self,event):
	149	"""
	150	when Select data to fit a new page is created .Its reference is
	151	added to self.page_finder
	152	"""
	153	self.panel = event.GetEventObject()
	154	for item in self.panel.graph.plottables:
[693ab78]	155	if item.name == self.panel.graph.selected_plottable or\
	156	item.__class__.__name__ is "Data2D":
[3b19ac9]	157	#find a name for the page created for notebook
[d89f09b]	158	try:
[6bcdad1]	159	page, model_name = self.fit_panel.add_fit_page(item)
[3b19ac9]	160	# add data associated to the page created
[bcd6d51]	161
[6f73a08]	162	if page !=None:
[caa1226]	163
[6f73a08]	164	#create a fitproblem storing all link to data,model,page creation
	165	self.page_finder[page]= FitProblem()
[6bcdad1]	166	self.page_finder[page].save_model_name(model_name)
[bcd6d51]	167	self.page_finder[page].add_data(item)
[d89f09b]	168	except:
[6f73a08]	169	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	170	%sys.exc_value))
[948add7]	171	def schedule_for_fit(self,value=0,fitproblem =None):
	172	"""
	173
	174	"""
	175	if fitproblem !=None:
	176	fitproblem.schedule_tofit(value)
	177	else:
	178	current_pg=self.fit_panel.get_current_page()
	179	for page, val in self.page_finder.iteritems():
	180	if page ==current_pg :
	181	val.schedule_tofit(value)
	182	break
	183
[d89f09b]	184
	185	def get_page_finder(self):
	186	""" @return self.page_finder used also by simfitpage.py"""
	187	return self.page_finder
	188
	189
[3b19ac9]	190	def set_page_finder(self,modelname,names,values):
[d89f09b]	191	"""
	192	Used by simfitpage.py to reset a parameter given the string constrainst.
	193	@param modelname: the name ot the model for with the parameter has to reset
	194	@param value: can be a string in this case.
[3b19ac9]	195	@param names: the paramter name
[d89f09b]	196	@note: expecting park used for fit.
	197	"""
	198	sim_page=self.fit_panel.get_page(0)
	199	for page, value in self.page_finder.iteritems():
	200	if page != sim_page:
	201	list=value.get_model()
	202	model=list[0]
[bcd6d51]	203	#print "fitting",model.name,modelname
[d89f09b]	204	if model.name== modelname:
[3b19ac9]	205	value.set_model_param(names,values)
[d89f09b]	206	break
	207
	208
	209
	210	def split_string(self,item):
	211	"""
[3b19ac9]	212	receive a word containing dot and split it. used to split parameterset
	213	name into model name and parameter name example:
	214	paramaterset (item) = M1.A
	215	@return model_name =M1 , parameter name =A
[d89f09b]	216	"""
	217	if string.find(item,".")!=-1:
	218	param_names= re.split("\.",item)
	219	model_name=param_names[0]
	220	param_name=param_names[1]
	221	return model_name,param_name
	222
	223
[9d31a8b]	224	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	225	"""
[3b19ac9]	226	Display fit result on one page of the notebook.
	227	@param result: result of fit
	228	@param pars: list of names of parameters fitted
	229	@param current_pg: the page where information will be displayed
	230	@param qmin: the minimum value of x to replot the model
	231	@param qmax: the maximum value of x to replot model
[d89f09b]	232
	233	"""
	234	try:
	235	for page, value in self.page_finder.iteritems():
[948add7]	236	if page==cpage :
[6f73a08]	237	#fitdata = value.get_data()
[d89f09b]	238	list = value.get_model()
	239	model= list[0]
	240	break
	241	i = 0
[442895f]	242	# print "fitting: single fit pars ", pars
[d89f09b]	243	for name in pars:
	244	if result.pvec.__class__==numpy.float64:
[1b07935d]	245	model.setParam(name,result.pvec)
[d89f09b]	246	else:
[1b07935d]	247	model.setParam(name,result.pvec[i])
[442895f]	248	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	249	i += 1
[442895f]	250	# print "fitting result : chisqr",result.fitness
	251	# print "fitting result : pvec",result.pvec
	252	# print "fitting result : stderr",result.stderr
	253
[948add7]	254	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	255	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	256	except:
[442895f]	257	raise
[060b857]	258	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	259
	260
[9d31a8b]	261	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	262	"""
	263	Parameter estimation completed,
	264	display the results to the user
	265	@param alpha: estimated best alpha
	266	@param elapsed: computation time
	267	"""
	268	try:
	269	for page, value in self.page_finder.iteritems():
[948add7]	270	if value.get_scheduled()==1:
[6f73a08]	271	#fitdata = value.get_data()
[3b19ac9]	272	list = value.get_model()
	273	model= list[0]
	274
	275	small_out = []
	276	small_cov = []
	277	i = 0
	278	#Separate result in to data corresponding to each page
	279	for p in result.parameters:
	280	model_name,param_name = self.split_string(p.name)
	281	if model.name == model_name:
	282	small_out.append(p.value )
	283	small_cov.append(p.stderr)
	284	model.setParam(param_name,p.value)
	285	# Display result on each page
	286	page.onsetValues(result.fitness, small_out,small_cov)
	287	#Replot model
[9d31a8b]	288	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	289	except:
	290	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	291
[4fc6dbf]	292
[9d31a8b]	293	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	294	"""
	295	perform fit for the current page and return chisqr,out and cov
	296	@param engineName: type of fit to be performed
	297	@param id: unique id corresponding to a fit problem(model, set of data)
	298	@param model: model to fit
	299
	300	"""
[948add7]	301	#print "in single fitting"
[d89f09b]	302	#set an engine to perform fit
	303	from sans.fit.Fitting import Fit
	304	self.fitter= Fit(self._fit_engine)
[3b19ac9]	305	#Setting an id to store model and data in fit engine
[d89f09b]	306	if id==None:
	307	id=0
[3b19ac9]	308	self.id = id
[948add7]	309	page_fitted=None
	310	fit_problem=None
[3b19ac9]	311	#Get information (model , data) related to the page on
	312	#with the fit will be perform
[57f3320]	313	#current_pg=self.fit_panel.get_current_page()
	314	#simul_pg=self.fit_panel.get_page(0)
[948add7]	315
[d89f09b]	316	for page, value in self.page_finder.iteritems():
[948add7]	317	if value.get_scheduled() ==1 :
[9d31a8b]	318	metadata = value.get_data()
[d89f09b]	319	list=value.get_model()
	320	model=list[0]
[08b9c6c8]	321	smearer= value.get_smearer()
[3b19ac9]	322	#Create list of parameters for fitting used
[d89f09b]	323	pars=[]
	324	templist=[]
	325	try:
[948add7]	326	#templist=current_pg.get_param_list()
	327	templist=page.get_param_list()
	328	for element in templist:
	329	pars.append(str(element[0].GetLabelText()))
	330	pars.sort()
	331	#Do the single fit
[3b19ac9]	332	self.fitter.set_model(Model(model), self.id, pars)
[b710eb7]	333
[08b9c6c8]	334	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
[948add7]	335	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	336	page_fitted=page
	337	self.id+=1
	338	self.schedule_for_fit( 0,value)
[d89f09b]	339	except:
[948add7]	340	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	341	return
[948add7]	342	# make sure to keep an alphabetic order
	343	#of parameter names in the list
	344	try:
	345	result=self.fitter.fit()
	346	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
[f39511b]	347	#print "single_fit: result",result.fitness,result.pvec,result.stderr
[948add7]	348	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	349	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	350	except:
[6f73a08]	351	raise
[948add7]	352	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	353	return
[d89f09b]	354
[9d31a8b]	355	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	356	"""
	357	perform fit for all the pages selected on simpage and return chisqr,out and cov
	358	@param engineName: type of fit to be performed
	359	@param id: unique id corresponding to a fit problem(model, set of data)
	360	in park_integration
	361	@param model: model to fit
	362
	363	"""
	364	#set an engine to perform fit
	365	from sans.fit.Fitting import Fit
	366	self.fitter= Fit(self._fit_engine)
[3b19ac9]	367
[d89f09b]	368	#Setting an id to store model and data
	369	if id==None:
	370	id = 0
	371	self.id = id
[3b19ac9]	372
[d89f09b]	373	for page, value in self.page_finder.iteritems():
	374	try:
[948add7]	375	if value.get_scheduled()==1:
[9d31a8b]	376	metadata = value.get_data()
[3b19ac9]	377	list = value.get_model()
	378	model= list[0]
[d89f09b]	379	#Create dictionary of parameters for fitting used
	380	pars = []
	381	templist = []
[3b19ac9]	382	templist = page.get_param_list()
[d89f09b]	383	for element in templist:
	384	try:
	385	name = str(element[0].GetLabelText())
	386	pars.append(name)
	387	except:
	388	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	389	return
[00561739]	390	new_model=Model(model)
[8e81af0]	391	param=value.get_model_param()
	392
	393	if len(param)>0:
	394	for item in param:
	395	param_value = item[1]
	396	param_name = item[0]
	397	#print "fitting ", param,param_name, param_value
	398
	399	#new_model.set( model.getParam(param_name[0])= param_value)
	400	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	401	#new_model.set( exec "%s"%(param_nam) = param_value)
	402	new_model.parameterset[ param_name].set( param_value )
	403
[948add7]	404	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	405	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	406	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	407	self.id += 1
[d89f09b]	408	except:
[3b19ac9]	409	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	410	return
[dabb633]	411	#Do the simultaneous fit
[d89f09b]	412	try:
	413	result=self.fitter.fit()
[9d31a8b]	414	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	415	except:
	416	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	417	return
[3b19ac9]	418
	419
	420	def _onset_engine(self,event):
	421	""" set engine to scipy"""
	422	if self._fit_engine== 'park':
	423	self._on_change_engine('scipy')
	424	else:
	425	self._on_change_engine('park')
	426	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	427
	428
[d89f09b]	429	def _on_change_engine(self, engine='park'):
	430	"""
	431	Allow to select the type of engine to perform fit
	432	@param engine: the key work of the engine
	433	"""
	434	self._fit_engine = engine
	435
	436
	437	def _on_model_panel(self, evt):
	438	"""
	439	react to model selection on any combo box or model menu.plot the model
	440	"""
[e1a310f]	441
[d89f09b]	442	model = evt.model
	443	name = evt.name
	444	sim_page=self.fit_panel.get_page(0)
	445	current_pg = self.fit_panel.get_current_page()
[6bcdad1]	446	selected_page = self.fit_panel.get_selected_page()
[d89f09b]	447	if current_pg != sim_page:
	448	current_pg.set_panel(model)
[6bcdad1]	449	model.name = self.page_finder[current_pg].get_name()
[d89f09b]	450	try:
[bcd6d51]	451	metadata=self.page_finder[current_pg].get_data()
[6bcdad1]	452	M_name=model.name+"= "+name+"("+metadata.group_id+")"
[d89f09b]	453	except:
[6bcdad1]	454	M_name=model.name+"= "+name
	455	#model.name="M"+str(self.index_model)
[d89f09b]	456	self.index_model += 1
[6bcdad1]	457	# save model name
[442895f]	458
[6bcdad1]	459	# save the name containing the data name with the appropriate model
[1b07935d]	460	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	461	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	462	sim_page.add_model(self.page_finder)
	463
[08b9c6c8]	464	def set_smearer(self,smearer):
	465	current_pg=self.fit_panel.get_current_page()
	466	self.page_finder[current_pg].set_smearer(smearer)
	467
[d89f09b]	468	def redraw_model(self,qmin= None,qmax= None):
	469	"""
	470	Draw a theory according to model changes or data range.
	471	@param qmin: the minimum value plotted for theory
	472	@param qmax: the maximum value plotted for theory
	473	"""
	474	current_pg=self.fit_panel.get_current_page()
	475	for page, value in self.page_finder.iteritems():
	476	if page ==current_pg :
	477	break
	478	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	479
[9d31a8b]	480	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	481	"""
	482	Plot a theory given a model and data
	483	@param model: the model from where the theory is derived
	484	@param currpage: page in a dictionary referring to some data
	485	"""
	486	if self.fit_panel.get_page_count() >1:
	487	for page in self.page_finder.iterkeys():
	488	if page==currpage :
[bcd6d51]	489	data=self.page_finder[page].get_data()
	490	list=self.page_finder[page].get_model()
	491	model=list[0]
[d89f09b]	492	break
[6f73a08]	493
[693ab78]	494	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	495	theory = Theory1D(x=[], y=[])
[6bcdad1]	496	theory.name = model.name
[d89f09b]	497	theory.group_id = data.group_id
[6bcdad1]	498	theory.id = "Model"
[d89f09b]	499	x_name, x_units = data.get_xaxis()
	500	y_name, y_units = data.get_yaxis()
	501	theory.xaxis(x_name, x_units)
	502	theory.yaxis(y_name, y_units)
	503	if qmin == None :
	504	qmin = min(data.x)
	505	if qmax == None :
	506	qmax = max(data.x)
	507	try:
	508	tempx = qmin
[1b07935d]	509	tempy = model.run(qmin)
[d89f09b]	510	theory.x.append(tempx)
	511	theory.y.append(tempy)
	512	except :
	513	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	514	skipping point x %g %s" %(qmin, sys.exc_value)))
	515
	516	for i in range(len(data.x)):
	517	try:
	518	if data.x[i]> qmin and data.x[i]< qmax:
	519	tempx = data.x[i]
[1b07935d]	520	tempy = model.run(tempx)
[d89f09b]	521	theory.x.append(tempx)
	522	theory.y.append(tempy)
[04edd0d]	523
[d89f09b]	524	except:
	525	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	526	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	527	try:
	528	tempx = qmax
[1b07935d]	529	tempy = model.run(qmax)
[d89f09b]	530	theory.x.append(tempx)
	531	theory.y.append(tempy)
	532	except:
[00561739]	533	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	534	skipping point x %g %s" %(qmax, sys.exc_value)))
[04edd0d]	535
[6f73a08]	536	else:
[dc317d1]	537	theory=Data2D(data.data, data.err_data)
[6bcdad1]	538	theory.name= model.name
	539	theory.id= "Model"
	540	theory.group_id= "Model"+data.name
[6f73a08]	541	theory.x_bins= data.x_bins
	542	theory.y_bins= data.y_bins
	543	tempy=[]
[9d31a8b]	544	if qmin==None:
	545	qmin=data.xmin
	546	if qmax==None:
[4274c0e]	547	qmax=data.xmax
[9d31a8b]	548	if ymin==None:
	549	ymin=data.ymin
	550	if ymax==None:
[4274c0e]	551	ymax=data.ymax
[a890be6]	552
[57668f8]	553	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[44bbf6a]	554	for i in range(len(data.y_bins)):
	555	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	556	for j in range(len(data.x_bins)):
	557	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
[57668f8]	558	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
[44bbf6a]	559
	560	#print "fitting : plot_helper:", theory.image
[6f73a08]	561	#print data.image
[2dbb681]	562	#print "fitting : plot_helper:",theory.image
[1f62278]	563	theory.detector= data.detector
	564	theory.source= data.source
[6f73a08]	565	theory.zmin= data.zmin
	566	theory.zmax= data.zmax
[4274c0e]	567	theory.xmin= qmin
	568	theory.xmax= qmax
	569	theory.ymin= ymin
	570	theory.ymax= ymax
[04edd0d]	571
[6bcdad1]	572	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	573	title="Analytical model %s"%str(data.name)))
[6f73a08]	574
	575
[d89f09b]	576	def _on_model_menu(self, evt):
	577	"""
	578	Plot a theory from a model selected from the menu
	579	"""
[b2c3225]	580	model=evt.model()
[f39511b]	581	#name="Model View"
	582	#print "mon menu",model.name
[2dbb681]	583	description=model.description
[2e10b70]	584	#self.fit_panel.add_model_page(model,description,name)
	585
[b2c3225]	586	self.draw_model(model,self.enable_model2D)
[1b07935d]	587
[d250f7d]	588	def draw_model(self,model,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
[3b19ac9]	589	"""
	590	draw model with default data value
	591	"""
[f39511b]	592	self.fit_panel.add_model_page(model,model.description,model.name)
[d250f7d]	593	self._draw_model2D(model,model.description, enable2D,qmin,qmax,qstep)
	594	self._draw_model1D(model,model.description, enable1D,qmin,qmax, qstep)
	595
	596	def _draw_model1D(self,model,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
[e5a9e32]	597
[d250f7d]	598	if enable1D:
	599	if qmin==None:
	600	qmin= 0.001
	601	if qmax==None:
	602	qmax= 1.0
	603	if qstep ==None:
	604	qstep =0.001
	605
[2e10b70]	606	print "x in data1D",qmin,qmax
[d250f7d]	607	x = numpy.arange(qmin, qmax, qstep)
[f39511b]	608	xlen= len(x)
	609	y = numpy.zeros(xlen)
[d250f7d]	610	if not enable1D:
[f39511b]	611	for i in range(xlen):
	612	y[i] = model.run(x[i])
	613
	614	try:
	615	new_plot = Theory1D(x, y)
	616	#new_plot.name = model.name
[6bcdad1]	617	new_plot.name = model.name
[f39511b]	618	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	619	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	620	new_plot.id = "Model"
	621	new_plot.group_id ="Model"
[f39511b]	622	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	623
	624	except:
	625	raise
	626	else:
	627	for i in range(xlen):
	628	y[i] = model.run(x[i])
	629
	630	try:
	631	new_plot = Theory1D(x, y)
	632	new_plot.name = model.name
	633	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	634	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	635	new_plot.id ="Model"
	636	new_plot.group_id ="Model"
	637	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	638	title="Analytical model 1D %s"%str(model.name) ))
[f39511b]	639
	640	except:
	641	raise
[dc317d1]	642	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
	643	if qmin==None:
	644	qmin= -0.05
	645	if qmax==None:
	646	qmax= 0.05
	647	if qstep ==None:
	648	qstep =0.001
	649	x = numpy.arange(qmin,qmax, qstep)
	650	y = numpy.arange(qmin,qmax,qstep)
	651	lx = len(x)
[1c5b068]	652	#print x
[dc317d1]	653	data=numpy.zeros([len(x),len(y)])
	654	if enable2D:
[1c5b068]	655
	656	#for i_x in range(int(len(x)/2)):
	657	for i_x in range(int(len(x))):
[dc317d1]	658	for i_y in range(len(y)):
	659	try:
	660	value = model.runXY([x[i_x],y[i_y]])
	661	data[i_y][i_x] = value
	662	except:
	663	wx.PostEvent(self.parent, StatusEvent(status="\
	664	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
	665
[c48060c]	666	theory= Data2D(data)
[6bcdad1]	667	theory.name= model.name
	668	theory.group_id ="Model"
	669	theory.id ="Model"
[dc317d1]	670	theory.xmin= qmin
	671	theory.xmax= qmax
	672	theory.ymin= qmin
	673	theory.ymax= qmax
[6bcdad1]	674	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	675	title="Analytical model 2D %s" %str(model.name)))
[dc317d1]	676
[d250f7d]	677
	678
[dc317d1]	679	def H_draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
[d250f7d]	680	if qmin==None:
	681	qmin= -0.05
	682	if qmax==None:
	683	qmax= 0.05
	684	if qstep ==None:
	685	qstep =0.001
	686	x = numpy.arange(qmin,qmax, qstep)
	687	y = numpy.arange(qmin,qmax,qstep)
[dc317d1]	688	lx = len(self.x)
[d250f7d]	689	if enable2D:
	690	data=numpy.zeros([len(x),len(y)])
	691	for i in range(len(x)):
	692	for j in range(len(x)):
	693	try:
	694	data[i][j]=model.runXY([j,i])
	695	except:
	696	wx.PostEvent(self.parent, StatusEvent(status="\
	697	Model 2D cannot be plot %g %s %s" %(data[i][j],model.name, sys.exc_value)))
[dc317d1]	698	theory = Data2D(data)
[d250f7d]	699	theory.group_id =str(model.name)+" 2D"
	700	theory.xmin= qmin
	701	theory.xmax= qmax
	702	theory.ymin= qmin
	703	theory.ymax= qmax
	704	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
[dc317d1]	705
	706
[b2c3225]	707	def on_draw_model2D(self, event):
	708	"""
	709	plot view model 2D
	710	"""
[d89f09b]	711
[b2c3225]	712	if self.enable_model2D== True:
	713	self.enable_model2D=False
	714	else:
	715	self.enable_model2D=True
	716	print "self.enable_model2D",self.enable_model2D
[d89f09b]	717	if __name__ == "__main__":
	718	i = Plugin()
	719
	720
	721
	722

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 1c5b068

Download in other formats: