fitting.py @ c48060c

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 c48060c was c48060c, checked in by Gervaise Alina <gervyh@…>, 16 years ago
small bug on model2D plotting
Property mode set to `100644`
File size: 29.4 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:
[bcd6d51]	159	page = 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()
[bcd6d51]	166	self.page_finder[page].add_data(item)
[d89f09b]	167	except:
[6f73a08]	168	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	169	%sys.exc_value))
[948add7]	170	def schedule_for_fit(self,value=0,fitproblem =None):
	171	"""
	172
	173	"""
	174	if fitproblem !=None:
	175	fitproblem.schedule_tofit(value)
	176	else:
	177	current_pg=self.fit_panel.get_current_page()
	178	for page, val in self.page_finder.iteritems():
	179	if page ==current_pg :
	180	val.schedule_tofit(value)
	181	break
	182
[d89f09b]	183
	184	def get_page_finder(self):
	185	""" @return self.page_finder used also by simfitpage.py"""
	186	return self.page_finder
	187
	188
[3b19ac9]	189	def set_page_finder(self,modelname,names,values):
[d89f09b]	190	"""
	191	Used by simfitpage.py to reset a parameter given the string constrainst.
	192	@param modelname: the name ot the model for with the parameter has to reset
	193	@param value: can be a string in this case.
[3b19ac9]	194	@param names: the paramter name
[d89f09b]	195	@note: expecting park used for fit.
	196	"""
	197	sim_page=self.fit_panel.get_page(0)
	198	for page, value in self.page_finder.iteritems():
	199	if page != sim_page:
	200	list=value.get_model()
	201	model=list[0]
[bcd6d51]	202	#print "fitting",model.name,modelname
[d89f09b]	203	if model.name== modelname:
[3b19ac9]	204	value.set_model_param(names,values)
[d89f09b]	205	break
	206
	207
	208
	209	def split_string(self,item):
	210	"""
[3b19ac9]	211	receive a word containing dot and split it. used to split parameterset
	212	name into model name and parameter name example:
	213	paramaterset (item) = M1.A
	214	@return model_name =M1 , parameter name =A
[d89f09b]	215	"""
	216	if string.find(item,".")!=-1:
	217	param_names= re.split("\.",item)
	218	model_name=param_names[0]
	219	param_name=param_names[1]
	220	return model_name,param_name
	221
	222
[9d31a8b]	223	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	224	"""
[3b19ac9]	225	Display fit result on one page of the notebook.
	226	@param result: result of fit
	227	@param pars: list of names of parameters fitted
	228	@param current_pg: the page where information will be displayed
	229	@param qmin: the minimum value of x to replot the model
	230	@param qmax: the maximum value of x to replot model
[d89f09b]	231
	232	"""
	233	try:
	234	for page, value in self.page_finder.iteritems():
[948add7]	235	if page==cpage :
[6f73a08]	236	#fitdata = value.get_data()
[d89f09b]	237	list = value.get_model()
	238	model= list[0]
	239	break
	240	i = 0
[442895f]	241	# print "fitting: single fit pars ", pars
[d89f09b]	242	for name in pars:
	243	if result.pvec.__class__==numpy.float64:
[1b07935d]	244	model.setParam(name,result.pvec)
[d89f09b]	245	else:
[1b07935d]	246	model.setParam(name,result.pvec[i])
[442895f]	247	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	248	i += 1
[442895f]	249	# print "fitting result : chisqr",result.fitness
	250	# print "fitting result : pvec",result.pvec
	251	# print "fitting result : stderr",result.stderr
	252
[948add7]	253	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	254	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	255	except:
[442895f]	256	raise
[060b857]	257	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	258
	259
[9d31a8b]	260	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	261	"""
	262	Parameter estimation completed,
	263	display the results to the user
	264	@param alpha: estimated best alpha
	265	@param elapsed: computation time
	266	"""
	267	try:
	268	for page, value in self.page_finder.iteritems():
[948add7]	269	if value.get_scheduled()==1:
[6f73a08]	270	#fitdata = value.get_data()
[3b19ac9]	271	list = value.get_model()
	272	model= list[0]
	273
	274	small_out = []
	275	small_cov = []
	276	i = 0
	277	#Separate result in to data corresponding to each page
	278	for p in result.parameters:
	279	model_name,param_name = self.split_string(p.name)
	280	if model.name == model_name:
	281	small_out.append(p.value )
	282	small_cov.append(p.stderr)
	283	model.setParam(param_name,p.value)
	284	# Display result on each page
	285	page.onsetValues(result.fitness, small_out,small_cov)
	286	#Replot model
[9d31a8b]	287	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	288	except:
	289	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	290
[4fc6dbf]	291
[9d31a8b]	292	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	293	"""
	294	perform fit for the current page and return chisqr,out and cov
	295	@param engineName: type of fit to be performed
	296	@param id: unique id corresponding to a fit problem(model, set of data)
	297	@param model: model to fit
	298
	299	"""
[948add7]	300	#print "in single fitting"
[d89f09b]	301	#set an engine to perform fit
	302	from sans.fit.Fitting import Fit
	303	self.fitter= Fit(self._fit_engine)
[3b19ac9]	304	#Setting an id to store model and data in fit engine
[d89f09b]	305	if id==None:
	306	id=0
[3b19ac9]	307	self.id = id
[948add7]	308	page_fitted=None
	309	fit_problem=None
[3b19ac9]	310	#Get information (model , data) related to the page on
	311	#with the fit will be perform
[57f3320]	312	#current_pg=self.fit_panel.get_current_page()
	313	#simul_pg=self.fit_panel.get_page(0)
[948add7]	314
[d89f09b]	315	for page, value in self.page_finder.iteritems():
[948add7]	316	if value.get_scheduled() ==1 :
[9d31a8b]	317	metadata = value.get_data()
[d89f09b]	318	list=value.get_model()
	319	model=list[0]
[3b19ac9]	320	#Create list of parameters for fitting used
[d89f09b]	321	pars=[]
	322	templist=[]
	323	try:
[948add7]	324	#templist=current_pg.get_param_list()
	325	templist=page.get_param_list()
	326	for element in templist:
	327	pars.append(str(element[0].GetLabelText()))
	328	pars.sort()
	329	#Do the single fit
[3b19ac9]	330	self.fitter.set_model(Model(model), self.id, pars)
[b710eb7]	331
[9d31a8b]	332	self.fitter.set_data(metadata,self.id,qmin,qmax)
[948add7]	333	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	334	page_fitted=page
	335	self.id+=1
	336	self.schedule_for_fit( 0,value)
[d89f09b]	337	except:
[948add7]	338	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	339	return
[948add7]	340	# make sure to keep an alphabetic order
	341	#of parameter names in the list
	342	try:
	343	result=self.fitter.fit()
	344	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
[f39511b]	345	#print "single_fit: result",result.fitness,result.pvec,result.stderr
[948add7]	346	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	347	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	348	except:
[6f73a08]	349	raise
[948add7]	350	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	351	return
[d89f09b]	352
[9d31a8b]	353	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	354	"""
	355	perform fit for all the pages selected on simpage and return chisqr,out and cov
	356	@param engineName: type of fit to be performed
	357	@param id: unique id corresponding to a fit problem(model, set of data)
	358	in park_integration
	359	@param model: model to fit
	360
	361	"""
	362	#set an engine to perform fit
	363	from sans.fit.Fitting import Fit
	364	self.fitter= Fit(self._fit_engine)
[3b19ac9]	365
[d89f09b]	366	#Setting an id to store model and data
	367	if id==None:
	368	id = 0
	369	self.id = id
[3b19ac9]	370
[d89f09b]	371	for page, value in self.page_finder.iteritems():
	372	try:
[948add7]	373	if value.get_scheduled()==1:
[9d31a8b]	374	metadata = value.get_data()
[3b19ac9]	375	list = value.get_model()
	376	model= list[0]
[d89f09b]	377	#Create dictionary of parameters for fitting used
	378	pars = []
	379	templist = []
[3b19ac9]	380	templist = page.get_param_list()
[d89f09b]	381	for element in templist:
	382	try:
	383	name = str(element[0].GetLabelText())
	384	pars.append(name)
	385	except:
	386	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	387	return
[00561739]	388	new_model=Model(model)
[8e81af0]	389	param=value.get_model_param()
	390
	391	if len(param)>0:
	392	for item in param:
	393	param_value = item[1]
	394	param_name = item[0]
	395	#print "fitting ", param,param_name, param_value
	396
	397	#new_model.set( model.getParam(param_name[0])= param_value)
	398	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	399	#new_model.set( exec "%s"%(param_nam) = param_value)
	400	new_model.parameterset[ param_name].set( param_value )
	401
[948add7]	402	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	403	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	404	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	405	self.id += 1
[d89f09b]	406	except:
[3b19ac9]	407	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	408	return
[dabb633]	409	#Do the simultaneous fit
[d89f09b]	410	try:
	411	result=self.fitter.fit()
[9d31a8b]	412	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	413	except:
	414	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	415	return
[3b19ac9]	416
	417
	418	def _onset_engine(self,event):
	419	""" set engine to scipy"""
	420	if self._fit_engine== 'park':
	421	self._on_change_engine('scipy')
	422	else:
	423	self._on_change_engine('park')
	424	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	425
	426
[d89f09b]	427	def _on_change_engine(self, engine='park'):
	428	"""
	429	Allow to select the type of engine to perform fit
	430	@param engine: the key work of the engine
	431	"""
	432	self._fit_engine = engine
	433
	434
	435	def _on_model_panel(self, evt):
	436	"""
	437	react to model selection on any combo box or model menu.plot the model
	438	"""
[e1a310f]	439
[d89f09b]	440	model = evt.model
	441	name = evt.name
	442	sim_page=self.fit_panel.get_page(0)
	443	current_pg = self.fit_panel.get_current_page()
	444	if current_pg != sim_page:
	445	current_pg.set_panel(model)
[bcd6d51]	446
[d89f09b]	447	try:
[bcd6d51]	448	metadata=self.page_finder[current_pg].get_data()
	449	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
[d89f09b]	450	except:
	451	M_name="M"+str(self.index_model)+"= "+name
	452	model.name="M"+str(self.index_model)
	453	self.index_model += 1
[442895f]	454
[1b07935d]	455	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	456	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
	457	sim_page.add_model(self.page_finder)
	458
	459
	460	def redraw_model(self,qmin= None,qmax= None):
	461	"""
	462	Draw a theory according to model changes or data range.
	463	@param qmin: the minimum value plotted for theory
	464	@param qmax: the maximum value plotted for theory
	465	"""
	466	current_pg=self.fit_panel.get_current_page()
	467	for page, value in self.page_finder.iteritems():
	468	if page ==current_pg :
	469	break
	470	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	471
[9d31a8b]	472	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	473	"""
	474	Plot a theory given a model and data
	475	@param model: the model from where the theory is derived
	476	@param currpage: page in a dictionary referring to some data
	477	"""
	478	if self.fit_panel.get_page_count() >1:
	479	for page in self.page_finder.iterkeys():
	480	if page==currpage :
[bcd6d51]	481	data=self.page_finder[page].get_data()
	482	list=self.page_finder[page].get_model()
	483	model=list[0]
[d89f09b]	484	break
[6f73a08]	485
[693ab78]	486	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	487	theory = Theory1D(x=[], y=[])
[442895f]	488	theory.name = "Model"
[d89f09b]	489	theory.group_id = data.group_id
	490
	491	x_name, x_units = data.get_xaxis()
	492	y_name, y_units = data.get_yaxis()
	493	theory.xaxis(x_name, x_units)
	494	theory.yaxis(y_name, y_units)
	495	if qmin == None :
	496	qmin = min(data.x)
	497	if qmax == None :
	498	qmax = max(data.x)
	499	try:
	500	tempx = qmin
[1b07935d]	501	tempy = model.run(qmin)
[d89f09b]	502	theory.x.append(tempx)
	503	theory.y.append(tempy)
	504	except :
	505	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	506	skipping point x %g %s" %(qmin, sys.exc_value)))
	507
	508	for i in range(len(data.x)):
	509	try:
	510	if data.x[i]> qmin and data.x[i]< qmax:
	511	tempx = data.x[i]
[1b07935d]	512	tempy = model.run(tempx)
[d89f09b]	513	theory.x.append(tempx)
	514	theory.y.append(tempy)
[04edd0d]	515
[d89f09b]	516	except:
	517	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	518	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	519	try:
	520	tempx = qmax
[1b07935d]	521	tempy = model.run(qmax)
[d89f09b]	522	theory.x.append(tempx)
	523	theory.y.append(tempy)
	524	except:
[00561739]	525	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	526	skipping point x %g %s" %(qmax, sys.exc_value)))
[04edd0d]	527
[6f73a08]	528	else:
[dc317d1]	529	theory=Data2D(data.data, data.err_data)
	530
[6f73a08]	531	theory.x_bins= data.x_bins
	532	theory.y_bins= data.y_bins
	533	tempy=[]
[9d31a8b]	534	if qmin==None:
	535	qmin=data.xmin
	536	if qmax==None:
[4274c0e]	537	qmax=data.xmax
[9d31a8b]	538	if ymin==None:
	539	ymin=data.ymin
	540	if ymax==None:
[4274c0e]	541	ymax=data.ymax
[a890be6]	542
[57668f8]	543	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[44bbf6a]	544	for i in range(len(data.y_bins)):
	545	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	546	for j in range(len(data.x_bins)):
	547	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
[57668f8]	548	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
[44bbf6a]	549
	550	#print "fitting : plot_helper:", theory.image
[6f73a08]	551	#print data.image
[2dbb681]	552	#print "fitting : plot_helper:",theory.image
[1f62278]	553	theory.detector= data.detector
	554	theory.source= data.source
[6f73a08]	555	theory.zmin= data.zmin
	556	theory.zmax= data.zmax
[4274c0e]	557	theory.xmin= qmin
	558	theory.xmax= qmax
	559	theory.ymin= ymin
	560	theory.ymax= ymax
[04edd0d]	561
[6f73a08]	562	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
	563
	564
[d89f09b]	565	def _on_model_menu(self, evt):
	566	"""
	567	Plot a theory from a model selected from the menu
	568	"""
[2dbb681]	569
[b2c3225]	570	model=evt.model()
[f39511b]	571	#name="Model View"
	572	#print "mon menu",model.name
[2dbb681]	573	description=model.description
[f39511b]	574	#self.fit_panel.add_model_page(model,description,name)
	575
[b2c3225]	576	self.draw_model(model,self.enable_model2D)
[1b07935d]	577
[d250f7d]	578	def draw_model(self,model,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
[3b19ac9]	579	"""
	580	draw model with default data value
	581	"""
[f39511b]	582	self.fit_panel.add_model_page(model,model.description,model.name)
[d250f7d]	583	self._draw_model2D(model,model.description, enable2D,qmin,qmax,qstep)
	584	self._draw_model1D(model,model.description, enable1D,qmin,qmax, qstep)
	585
	586	def _draw_model1D(self,model,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
[e5a9e32]	587
[d250f7d]	588	if enable1D:
	589	if qmin==None:
	590	qmin= 0.001
	591	if qmax==None:
	592	qmax= 1.0
	593	if qstep ==None:
	594	qstep =0.001
	595
	596
	597	x = numpy.arange(qmin, qmax, qstep)
[f39511b]	598	xlen= len(x)
	599	y = numpy.zeros(xlen)
[d250f7d]	600	if not enable1D:
[f39511b]	601	for i in range(xlen):
	602	y[i] = model.run(x[i])
	603
	604	try:
	605	new_plot = Theory1D(x, y)
	606	#new_plot.name = model.name
	607	new_plot.name = "Model"
	608	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	609	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	610
	611	new_plot.group_id ="Fitness"
	612	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	613
	614	except:
	615	raise
	616	else:
	617	for i in range(xlen):
	618	y[i] = model.run(x[i])
	619
	620	try:
	621	new_plot = Theory1D(x, y)
	622	new_plot.name = model.name
	623	#new_plot.name = "Model"
	624	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	625	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	626
	627	new_plot.group_id ="Fitness"
	628	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	629
	630	except:
	631	raise
[dc317d1]	632	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
	633	if qmin==None:
	634	qmin= -0.05
	635	if qmax==None:
	636	qmax= 0.05
	637	if qstep ==None:
	638	qstep =0.001
	639	x = numpy.arange(qmin,qmax, qstep)
	640	y = numpy.arange(qmin,qmax,qstep)
	641	lx = len(x)
	642	data=numpy.zeros([len(x),len(y)])
	643	if enable2D:
	644	"""
	645	for i_x in range(int(len(x)/2)):
	646	if i_x%2==1:
	647	continue
	648	for i_y in range(len(y)):
	649	try:
	650	value = model.runXY([x[i_x], y[i_y]])
	651	#output[i_x][i_y] = value
	652	#output[lx-i_x-1][lx-i_y-1] = value
	653	data[i_y][i_x] = value
	654	data[lx-i_y-1][lx-i_x-1] = value
	655	except:
	656	wx.PostEvent(self.parent, StatusEvent(status="\
	657	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
	658
	659	if lx%2==1:
	660	i_x = int(len(x)/2)
	661	for i_y in range(len(y)):
	662	try:
	663	value = model.runXY([x[i_x],y[i_y]])
	664	#output[i_x][i_y] = value
	665	data[i_y][i_x] = value
	666	except:
	667	wx.PostEvent(self.parent, StatusEvent(status="\
	668	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
	669
	670	"""
	671	for i_x in range(int(len(x)/2)):
	672	"""
	673	if not i_x%2==1:
	674	continue
	675	"""
	676	for i_y in range(len(y)):
	677	try:
	678	value = model.runXY([x[i_x],y[i_y]])
	679	#output[i_x][i_y] = value
	680	#output[lx-i_x-1][lx-i_y-1] = value
	681	data[i_y][i_x] = value
	682	data[lx-i_y-1][lx-i_x-1] = value
	683	except:
	684	wx.PostEvent(self.parent, StatusEvent(status="\
	685	Error computing %s at [%g,%g] :%s" %(model.name,x[i_x],y[i_y], sys.exc_value)))
	686
	687
	688
[c48060c]	689	theory= Data2D(data)
[dc317d1]	690	theory.group_id =str(model.name)+" 2D"
	691	theory.xmin= qmin
	692	theory.xmax= qmax
	693	theory.ymin= qmin
	694	theory.ymax= qmax
	695	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
	696
[d250f7d]	697
	698
[dc317d1]	699	def H_draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
[d250f7d]	700	if qmin==None:
	701	qmin= -0.05
	702	if qmax==None:
	703	qmax= 0.05
	704	if qstep ==None:
	705	qstep =0.001
	706	x = numpy.arange(qmin,qmax, qstep)
	707	y = numpy.arange(qmin,qmax,qstep)
[dc317d1]	708	lx = len(self.x)
[d250f7d]	709	if enable2D:
	710	data=numpy.zeros([len(x),len(y)])
	711	for i in range(len(x)):
	712	for j in range(len(x)):
	713	try:
	714	data[i][j]=model.runXY([j,i])
	715	except:
	716	wx.PostEvent(self.parent, StatusEvent(status="\
	717	Model 2D cannot be plot %g %s %s" %(data[i][j],model.name, sys.exc_value)))
[dc317d1]	718	theory = Data2D(data)
[d250f7d]	719	theory.group_id =str(model.name)+" 2D"
	720	theory.xmin= qmin
	721	theory.xmax= qmax
	722	theory.ymin= qmin
	723	theory.ymax= qmax
	724	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
[dc317d1]	725
	726
[b2c3225]	727	def on_draw_model2D(self, event):
	728	"""
	729	plot view model 2D
	730	"""
[d89f09b]	731
[b2c3225]	732	if self.enable_model2D== True:
	733	self.enable_model2D=False
	734	else:
	735	self.enable_model2D=True
	736	print "self.enable_model2D",self.enable_model2D
[d89f09b]	737	if __name__ == "__main__":
	738	i = Plugin()
	739
	740
	741
	742

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

SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ c48060c

Download in other formats: