fitting.py @ d250f7d

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 d250f7d was d250f7d, checked in by Gervaise Alina <gervyh@…>, 16 years ago
model 2D changed
Property mode set to `100644`
File size: 27.1 KB

Rev	Line
[d89f09b]	1	import os,os.path, re
	2	import sys, wx, logging
[0550752]	3	import string, numpy, math
[d89f09b]	4
[3b19ac9]	5	from copy import deepcopy
[57668f8]	6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D,Theory2D
[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]]
[57668f8]	96	#elif item.__class__.__name__ is "Theory2D":
	97	# return [["Line Slicer [Q-view]","Sector Averaging as a function of Q",
	98	# self.onLineSlicer],
	99	# ["Annulus Slicer [Phi-view]","Sector Averaging as a function of Phi",
	100	# self.onLineSlicer]]
[6f73a08]	101	else:
[693ab78]	102	if item.name==graph.selected_plottable and\
	103	item.__class__.__name__ is "Data1D":
[2dbb681]	104	return [["Select data for Fitting", \
	105	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	106	return []
	107
	108
	109	def get_panels(self, parent):
	110	"""
	111	Create and return a list of panel objects
	112	"""
	113	self.parent = parent
	114	# Creation of the fit panel
	115	self.fit_panel = FitPanel(self.parent, -1)
	116	#Set the manager forthe main panel
	117	self.fit_panel.set_manager(self)
	118	# List of windows used for the perspective
	119	self.perspective = []
	120	self.perspective.append(self.fit_panel.window_name)
	121	# take care of saving data, model and page associated with each other
[3b19ac9]	122	self.page_finder = {}
	123	#index number to create random model name
	124	self.index_model = 0
	125	#create the fitting panel
[d89f09b]	126	return [self.fit_panel]
	127
	128
	129	def get_perspective(self):
	130	"""
	131	Get the list of panel names for this perspective
	132	"""
	133	return self.perspective
	134
	135
	136	def on_perspective(self, event):
	137	"""
	138	Call back function for the perspective menu item.
	139	We notify the parent window that the perspective
	140	has changed.
	141	"""
	142	self.parent.set_perspective(self.perspective)
	143
	144
	145	def post_init(self):
	146	"""
	147	Post initialization call back to close the loose ends
	148	[Somehow openGL needs this call]
	149	"""
	150	self.parent.set_perspective(self.perspective)
	151
	152
	153	def _onSelect(self,event):
	154	"""
	155	when Select data to fit a new page is created .Its reference is
	156	added to self.page_finder
	157	"""
	158	self.panel = event.GetEventObject()
	159	for item in self.panel.graph.plottables:
[693ab78]	160	if item.name == self.panel.graph.selected_plottable or\
	161	item.__class__.__name__ is "Data2D":
[3b19ac9]	162	#find a name for the page created for notebook
[d89f09b]	163	try:
[bcd6d51]	164	page = self.fit_panel.add_fit_page(item)
[3b19ac9]	165	# add data associated to the page created
[bcd6d51]	166
[6f73a08]	167	if page !=None:
[caa1226]	168
[6f73a08]	169	#create a fitproblem storing all link to data,model,page creation
	170	self.page_finder[page]= FitProblem()
[bcd6d51]	171	self.page_finder[page].add_data(item)
[d89f09b]	172	except:
[6f73a08]	173	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	174	%sys.exc_value))
[948add7]	175	def schedule_for_fit(self,value=0,fitproblem =None):
	176	"""
	177
	178	"""
	179	if fitproblem !=None:
	180	fitproblem.schedule_tofit(value)
	181	else:
	182	current_pg=self.fit_panel.get_current_page()
	183	for page, val in self.page_finder.iteritems():
	184	if page ==current_pg :
	185	val.schedule_tofit(value)
	186	break
	187
[d89f09b]	188
	189	def get_page_finder(self):
	190	""" @return self.page_finder used also by simfitpage.py"""
	191	return self.page_finder
	192
	193
[3b19ac9]	194	def set_page_finder(self,modelname,names,values):
[d89f09b]	195	"""
	196	Used by simfitpage.py to reset a parameter given the string constrainst.
	197	@param modelname: the name ot the model for with the parameter has to reset
	198	@param value: can be a string in this case.
[3b19ac9]	199	@param names: the paramter name
[d89f09b]	200	@note: expecting park used for fit.
	201	"""
	202	sim_page=self.fit_panel.get_page(0)
	203	for page, value in self.page_finder.iteritems():
	204	if page != sim_page:
	205	list=value.get_model()
	206	model=list[0]
[bcd6d51]	207	#print "fitting",model.name,modelname
[d89f09b]	208	if model.name== modelname:
[3b19ac9]	209	value.set_model_param(names,values)
[d89f09b]	210	break
	211
	212
	213
	214	def split_string(self,item):
	215	"""
[3b19ac9]	216	receive a word containing dot and split it. used to split parameterset
	217	name into model name and parameter name example:
	218	paramaterset (item) = M1.A
	219	@return model_name =M1 , parameter name =A
[d89f09b]	220	"""
	221	if string.find(item,".")!=-1:
	222	param_names= re.split("\.",item)
	223	model_name=param_names[0]
	224	param_name=param_names[1]
	225	return model_name,param_name
	226
	227
[9d31a8b]	228	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	229	"""
[3b19ac9]	230	Display fit result on one page of the notebook.
	231	@param result: result of fit
	232	@param pars: list of names of parameters fitted
	233	@param current_pg: the page where information will be displayed
	234	@param qmin: the minimum value of x to replot the model
	235	@param qmax: the maximum value of x to replot model
[d89f09b]	236
	237	"""
	238	try:
	239	for page, value in self.page_finder.iteritems():
[948add7]	240	if page==cpage :
[6f73a08]	241	#fitdata = value.get_data()
[d89f09b]	242	list = value.get_model()
	243	model= list[0]
	244	break
	245	i = 0
[442895f]	246	# print "fitting: single fit pars ", pars
[d89f09b]	247	for name in pars:
	248	if result.pvec.__class__==numpy.float64:
[1b07935d]	249	model.setParam(name,result.pvec)
[d89f09b]	250	else:
[1b07935d]	251	model.setParam(name,result.pvec[i])
[442895f]	252	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	253	i += 1
[442895f]	254	# print "fitting result : chisqr",result.fitness
	255	# print "fitting result : pvec",result.pvec
	256	# print "fitting result : stderr",result.stderr
	257
[948add7]	258	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[9d31a8b]	259	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
[d89f09b]	260	except:
[442895f]	261	raise
[060b857]	262	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	263
	264
[9d31a8b]	265	def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None):
[d89f09b]	266	"""
	267	Parameter estimation completed,
	268	display the results to the user
	269	@param alpha: estimated best alpha
	270	@param elapsed: computation time
	271	"""
	272	try:
	273	for page, value in self.page_finder.iteritems():
[948add7]	274	if value.get_scheduled()==1:
[6f73a08]	275	#fitdata = value.get_data()
[3b19ac9]	276	list = value.get_model()
	277	model= list[0]
	278
	279	small_out = []
	280	small_cov = []
	281	i = 0
	282	#Separate result in to data corresponding to each page
	283	for p in result.parameters:
	284	model_name,param_name = self.split_string(p.name)
	285	if model.name == model_name:
	286	small_out.append(p.value )
	287	small_cov.append(p.stderr)
	288	model.setParam(param_name,p.value)
	289	# Display result on each page
	290	page.onsetValues(result.fitness, small_out,small_cov)
	291	#Replot model
[9d31a8b]	292	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
[d89f09b]	293	except:
	294	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	295
[4fc6dbf]	296
[9d31a8b]	297	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	298	"""
	299	perform fit for the current page and return chisqr,out and cov
	300	@param engineName: type of fit to be performed
	301	@param id: unique id corresponding to a fit problem(model, set of data)
	302	@param model: model to fit
	303
	304	"""
[948add7]	305	#print "in single fitting"
[d89f09b]	306	#set an engine to perform fit
	307	from sans.fit.Fitting import Fit
	308	self.fitter= Fit(self._fit_engine)
[3b19ac9]	309	#Setting an id to store model and data in fit engine
[d89f09b]	310	if id==None:
	311	id=0
[3b19ac9]	312	self.id = id
[948add7]	313	page_fitted=None
	314	fit_problem=None
[3b19ac9]	315	#Get information (model , data) related to the page on
	316	#with the fit will be perform
[57f3320]	317	#current_pg=self.fit_panel.get_current_page()
	318	#simul_pg=self.fit_panel.get_page(0)
[948add7]	319
[d89f09b]	320	for page, value in self.page_finder.iteritems():
[948add7]	321	if value.get_scheduled() ==1 :
[9d31a8b]	322	metadata = value.get_data()
[d89f09b]	323	list=value.get_model()
	324	model=list[0]
[3b19ac9]	325	#Create list of parameters for fitting used
[d89f09b]	326	pars=[]
	327	templist=[]
	328	try:
[948add7]	329	#templist=current_pg.get_param_list()
	330	templist=page.get_param_list()
	331	for element in templist:
	332	pars.append(str(element[0].GetLabelText()))
	333	pars.sort()
	334	#Do the single fit
[3b19ac9]	335	self.fitter.set_model(Model(model), self.id, pars)
[b710eb7]	336
[9d31a8b]	337	self.fitter.set_data(metadata,self.id,qmin,qmax)
[948add7]	338	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
	339	page_fitted=page
	340	self.id+=1
	341	self.schedule_for_fit( 0,value)
[d89f09b]	342	except:
[948add7]	343	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
[d89f09b]	344	return
[948add7]	345	# make sure to keep an alphabetic order
	346	#of parameter names in the list
	347	try:
	348	result=self.fitter.fit()
	349	#self._single_fit_completed(result,pars,current_pg,qmin,qmax)
[f39511b]	350	#print "single_fit: result",result.fitness,result.pvec,result.stderr
[948add7]	351	#self._single_fit_completed(result,pars,page,qmin,qmax)
[9d31a8b]	352	self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax)
[948add7]	353	except:
[6f73a08]	354	raise
[948add7]	355	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	356	return
[d89f09b]	357
[9d31a8b]	358	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	359	"""
	360	perform fit for all the pages selected on simpage and return chisqr,out and cov
	361	@param engineName: type of fit to be performed
	362	@param id: unique id corresponding to a fit problem(model, set of data)
	363	in park_integration
	364	@param model: model to fit
	365
	366	"""
	367	#set an engine to perform fit
	368	from sans.fit.Fitting import Fit
	369	self.fitter= Fit(self._fit_engine)
[3b19ac9]	370
[d89f09b]	371	#Setting an id to store model and data
	372	if id==None:
	373	id = 0
	374	self.id = id
[3b19ac9]	375
[d89f09b]	376	for page, value in self.page_finder.iteritems():
	377	try:
[948add7]	378	if value.get_scheduled()==1:
[9d31a8b]	379	metadata = value.get_data()
[3b19ac9]	380	list = value.get_model()
	381	model= list[0]
[d89f09b]	382	#Create dictionary of parameters for fitting used
	383	pars = []
	384	templist = []
[3b19ac9]	385	templist = page.get_param_list()
[d89f09b]	386	for element in templist:
	387	try:
	388	name = str(element[0].GetLabelText())
	389	pars.append(name)
	390	except:
	391	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	392	return
[00561739]	393	new_model=Model(model)
[8e81af0]	394	param=value.get_model_param()
	395
	396	if len(param)>0:
	397	for item in param:
	398	param_value = item[1]
	399	param_name = item[0]
	400	#print "fitting ", param,param_name, param_value
	401
	402	#new_model.set( model.getParam(param_name[0])= param_value)
	403	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
	404	#new_model.set( exec "%s"%(param_nam) = param_value)
	405	new_model.parameterset[ param_name].set( param_value )
	406
[948add7]	407	self.fitter.set_model(new_model, self.id, pars)
[9d31a8b]	408	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
[948add7]	409	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
[3b19ac9]	410	self.id += 1
[d89f09b]	411	except:
[3b19ac9]	412	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	413	return
[dabb633]	414	#Do the simultaneous fit
[d89f09b]	415	try:
	416	result=self.fitter.fit()
[9d31a8b]	417	self._simul_fit_completed(result,qmin,qmax,ymin,ymax)
[d89f09b]	418	except:
	419	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
	420	return
[3b19ac9]	421
	422
	423	def _onset_engine(self,event):
	424	""" set engine to scipy"""
	425	if self._fit_engine== 'park':
	426	self._on_change_engine('scipy')
	427	else:
	428	self._on_change_engine('park')
	429	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	430
	431
[d89f09b]	432	def _on_change_engine(self, engine='park'):
	433	"""
	434	Allow to select the type of engine to perform fit
	435	@param engine: the key work of the engine
	436	"""
	437	self._fit_engine = engine
	438
	439
	440	def _on_model_panel(self, evt):
	441	"""
	442	react to model selection on any combo box or model menu.plot the model
	443	"""
[e1a310f]	444
[d89f09b]	445	model = evt.model
	446	name = evt.name
	447	sim_page=self.fit_panel.get_page(0)
	448	current_pg = self.fit_panel.get_current_page()
	449	if current_pg != sim_page:
	450	current_pg.set_panel(model)
[bcd6d51]	451
[d89f09b]	452	try:
[bcd6d51]	453	metadata=self.page_finder[current_pg].get_data()
	454	M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")"
[d89f09b]	455	except:
	456	M_name="M"+str(self.index_model)+"= "+name
	457	model.name="M"+str(self.index_model)
	458	self.index_model += 1
[442895f]	459
[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
	464
	465	def redraw_model(self,qmin= None,qmax= None):
	466	"""
	467	Draw a theory according to model changes or data range.
	468	@param qmin: the minimum value plotted for theory
	469	@param qmax: the maximum value plotted for theory
	470	"""
	471	current_pg=self.fit_panel.get_current_page()
	472	for page, value in self.page_finder.iteritems():
	473	if page ==current_pg :
	474	break
	475	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	476
[9d31a8b]	477	def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None):
[d89f09b]	478	"""
	479	Plot a theory given a model and data
	480	@param model: the model from where the theory is derived
	481	@param currpage: page in a dictionary referring to some data
	482	"""
	483	if self.fit_panel.get_page_count() >1:
	484	for page in self.page_finder.iterkeys():
	485	if page==currpage :
[bcd6d51]	486	data=self.page_finder[page].get_data()
	487	list=self.page_finder[page].get_model()
	488	model=list[0]
[d89f09b]	489	break
[6f73a08]	490
[693ab78]	491	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	492	theory = Theory1D(x=[], y=[])
[442895f]	493	theory.name = "Model"
[d89f09b]	494	theory.group_id = data.group_id
	495
	496	x_name, x_units = data.get_xaxis()
	497	y_name, y_units = data.get_yaxis()
	498	theory.xaxis(x_name, x_units)
	499	theory.yaxis(y_name, y_units)
	500	if qmin == None :
	501	qmin = min(data.x)
	502	if qmax == None :
	503	qmax = max(data.x)
	504	try:
	505	tempx = qmin
[1b07935d]	506	tempy = model.run(qmin)
[d89f09b]	507	theory.x.append(tempx)
	508	theory.y.append(tempy)
	509	except :
	510	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	511	skipping point x %g %s" %(qmin, sys.exc_value)))
	512
	513	for i in range(len(data.x)):
	514	try:
	515	if data.x[i]> qmin and data.x[i]< qmax:
	516	tempx = data.x[i]
[1b07935d]	517	tempy = model.run(tempx)
[d89f09b]	518	theory.x.append(tempx)
	519	theory.y.append(tempy)
[04edd0d]	520
[d89f09b]	521	except:
	522	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	523	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	524	try:
	525	tempx = qmax
[1b07935d]	526	tempy = model.run(qmax)
[d89f09b]	527	theory.x.append(tempx)
	528	theory.y.append(tempy)
	529	except:
[00561739]	530	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	531	skipping point x %g %s" %(qmax, sys.exc_value)))
[04edd0d]	532
[6f73a08]	533	else:
[57668f8]	534	theory=Theory2D(data.data, data.err_data)
[44bbf6a]	535	#theory=Theory2D(data.image, data.err_image)
[6f73a08]	536	theory.x_bins= data.x_bins
	537	theory.y_bins= data.y_bins
	538	tempy=[]
[9d31a8b]	539	if qmin==None:
	540	qmin=data.xmin
	541	if qmax==None:
[4274c0e]	542	qmax=data.xmax
[9d31a8b]	543	if ymin==None:
	544	ymin=data.ymin
	545	if ymax==None:
[4274c0e]	546	ymax=data.ymax
[a890be6]	547
[57668f8]	548	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[44bbf6a]	549	for i in range(len(data.y_bins)):
	550	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
	551	for j in range(len(data.x_bins)):
	552	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
[57668f8]	553	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
[44bbf6a]	554
	555	#print "fitting : plot_helper:", theory.image
[6f73a08]	556	#print data.image
[2dbb681]	557	#print "fitting : plot_helper:",theory.image
[1f62278]	558	theory.detector= data.detector
	559	theory.source= data.source
[6f73a08]	560	theory.zmin= data.zmin
	561	theory.zmax= data.zmax
[4274c0e]	562	theory.xmin= qmin
	563	theory.xmax= qmax
	564	theory.ymin= ymin
	565	theory.ymax= ymax
[04edd0d]	566
[6f73a08]	567	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model"))
	568
	569
[d89f09b]	570	def _on_model_menu(self, evt):
	571	"""
	572	Plot a theory from a model selected from the menu
	573	"""
[2dbb681]	574
[b2c3225]	575	model=evt.model()
[f39511b]	576	#name="Model View"
	577	#print "mon menu",model.name
[2dbb681]	578	description=model.description
[f39511b]	579	#self.fit_panel.add_model_page(model,description,name)
	580
[b2c3225]	581	self.draw_model(model,self.enable_model2D)
[1b07935d]	582
[d250f7d]	583	def draw_model(self,model,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None):
[3b19ac9]	584	"""
	585	draw model with default data value
	586	"""
[f39511b]	587	self.fit_panel.add_model_page(model,model.description,model.name)
[d250f7d]	588	self._draw_model2D(model,model.description, enable2D,qmin,qmax,qstep)
	589	self._draw_model1D(model,model.description, enable1D,qmin,qmax, qstep)
	590
	591	def _draw_model1D(self,model,description=None, enable1D=True,qmin=None,qmax=None, qstep=None):
[e5a9e32]	592
[d250f7d]	593	if enable1D:
	594	if qmin==None:
	595	qmin= 0.001
	596	if qmax==None:
	597	qmax= 1.0
	598	if qstep ==None:
	599	qstep =0.001
	600
	601
	602	x = numpy.arange(qmin, qmax, qstep)
[f39511b]	603	xlen= len(x)
	604	y = numpy.zeros(xlen)
[d250f7d]	605	if not enable1D:
[f39511b]	606	for i in range(xlen):
	607	y[i] = model.run(x[i])
	608
	609	try:
	610	new_plot = Theory1D(x, y)
	611	#new_plot.name = model.name
	612	new_plot.name = "Model"
	613	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	614	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	615
	616	new_plot.group_id ="Fitness"
	617	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	618
	619	except:
	620	raise
	621	else:
	622	for i in range(xlen):
	623	y[i] = model.run(x[i])
	624
	625	try:
	626	new_plot = Theory1D(x, y)
	627	new_plot.name = model.name
	628	#new_plot.name = "Model"
	629	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	630	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
	631
	632	new_plot.group_id ="Fitness"
	633	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	634
	635	except:
	636	raise
[d250f7d]	637
	638
	639
	640	def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None):
	641	if qmin==None:
	642	qmin= -0.05
	643	if qmax==None:
	644	qmax= 0.05
	645	if qstep ==None:
	646	qstep =0.001
	647	x = numpy.arange(qmin,qmax, qstep)
	648	y = numpy.arange(qmin,qmax,qstep)
	649
	650	if enable2D:
	651	data=numpy.zeros([len(x),len(y)])
	652	for i in range(len(x)):
	653	for j in range(len(x)):
	654	try:
	655	data[i][j]=model.runXY([j,i])
	656	except:
	657	wx.PostEvent(self.parent, StatusEvent(status="\
	658	Model 2D cannot be plot %g %s %s" %(data[i][j],model.name, sys.exc_value)))
	659	theory = Theory2D(data)
	660	theory.group_id =str(model.name)+" 2D"
	661	theory.xmin= qmin
	662	theory.xmax= qmax
	663	theory.ymin= qmin
	664	theory.ymax= qmax
	665	wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D"))
[b2c3225]	666	def on_draw_model2D(self, event):
	667	"""
	668	plot view model 2D
	669	"""
[d89f09b]	670
[b2c3225]	671	if self.enable_model2D== True:
	672	self.enable_model2D=False
	673	else:
	674	self.enable_model2D=True
	675	print "self.enable_model2D",self.enable_model2D
[d89f09b]	676	if __name__ == "__main__":
	677	i = Plugin()
	678
	679
	680
	681

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ d250f7d

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