| 1 | import os,os.path, re |
|---|
| 2 | import sys, wx, logging |
|---|
| 3 | import string, numpy, pylab, math |
|---|
| 4 | |
|---|
| 5 | from sans.guitools.plottables import Data1D, Theory1D |
|---|
| 6 | from sans.guitools.PlotPanel import PlotPanel |
|---|
| 7 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
|---|
| 8 | from copy import deepcopy |
|---|
| 9 | from sans.fit.AbstractFitEngine import Model |
|---|
| 10 | from sans.fit.AbstractFitEngine import Data |
|---|
| 11 | from fitproblem import FitProblem |
|---|
| 12 | from fitpanel import FitPanel |
|---|
| 13 | |
|---|
| 14 | import models |
|---|
| 15 | import fitpage |
|---|
| 16 | class PlottableData(Data,Data1D): |
|---|
| 17 | """ class plottable data""" |
|---|
| 18 | def __init__(self,data,data1d): |
|---|
| 19 | self.x = data1d.x |
|---|
| 20 | self.y = data1d.y |
|---|
| 21 | self.dx= data1d.dx |
|---|
| 22 | self.dy= data1d.dy |
|---|
| 23 | |
|---|
| 24 | self.group_id= data1d.group_id |
|---|
| 25 | x_name, x_units = data1d.get_xaxis() |
|---|
| 26 | y_name, y_units = data1d.get_yaxis() |
|---|
| 27 | self.xaxis( x_name, x_units) |
|---|
| 28 | self.yaxis( y_name, y_units ) |
|---|
| 29 | self.qmin=data.qmin |
|---|
| 30 | self.qmax=data.qmax |
|---|
| 31 | class Plugin: |
|---|
| 32 | """ |
|---|
| 33 | """ |
|---|
| 34 | |
|---|
| 35 | def __init__(self): |
|---|
| 36 | ## Plug-in name |
|---|
| 37 | self.sub_menu = "Fitting" |
|---|
| 38 | |
|---|
| 39 | ## Reference to the parent window |
|---|
| 40 | self.parent = None |
|---|
| 41 | self.menu_mng = models.ModelManager() |
|---|
| 42 | ## List of panels for the simulation perspective (names) |
|---|
| 43 | self.perspective = [] |
|---|
| 44 | # Start with a good default |
|---|
| 45 | self.elapsed = 0.022 |
|---|
| 46 | self.fitter = None |
|---|
| 47 | |
|---|
| 48 | #Flag to let the plug-in know that it is running standalone |
|---|
| 49 | self.standalone=True |
|---|
| 50 | ## Fit engine |
|---|
| 51 | self._fit_engine = 'park' |
|---|
| 52 | # Log startup |
|---|
| 53 | logging.info("Fitting plug-in started") |
|---|
| 54 | |
|---|
| 55 | def populate_menu(self, id, owner): |
|---|
| 56 | """ |
|---|
| 57 | Create a menu for the Fitting plug-in |
|---|
| 58 | @param id: id to create a menu |
|---|
| 59 | @param owner: owner of menu |
|---|
| 60 | @ return : list of information to populate the main menu |
|---|
| 61 | """ |
|---|
| 62 | #Menu for fitting |
|---|
| 63 | self.menu1 = wx.Menu() |
|---|
| 64 | id1 = wx.NewId() |
|---|
| 65 | self.menu1.Append(id1, '&Show fit panel') |
|---|
| 66 | wx.EVT_MENU(owner, id1, self.on_perspective) |
|---|
| 67 | |
|---|
| 68 | #menu for model |
|---|
| 69 | menu2 = wx.Menu() |
|---|
| 70 | self.menu_mng.populate_menu(menu2, owner) |
|---|
| 71 | id2 = wx.NewId() |
|---|
| 72 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
|---|
| 73 | self.fit_panel.set_owner(owner) |
|---|
| 74 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
|---|
| 75 | owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel) |
|---|
| 76 | |
|---|
| 77 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
|---|
| 78 | |
|---|
| 79 | |
|---|
| 80 | def help(self, evt): |
|---|
| 81 | """ |
|---|
| 82 | Show a general help dialog. |
|---|
| 83 | TODO: replace the text with a nice image |
|---|
| 84 | """ |
|---|
| 85 | pass |
|---|
| 86 | |
|---|
| 87 | def get_context_menu(self, graph=None): |
|---|
| 88 | """ |
|---|
| 89 | Get the context menu items available for P(r) |
|---|
| 90 | @param graph: the Graph object to which we attach the context menu |
|---|
| 91 | @return: a list of menu items with call-back function |
|---|
| 92 | """ |
|---|
| 93 | |
|---|
| 94 | self.graph=graph |
|---|
| 95 | for item in graph.plottables: |
|---|
| 96 | if item.name==graph.selected_plottable and item.__class__.__name__ is not "Theory1D": |
|---|
| 97 | return [["Select Data", "Dialog with fitting parameters ", self._onSelect]] |
|---|
| 98 | return [] |
|---|
| 99 | |
|---|
| 100 | |
|---|
| 101 | def get_panels(self, parent): |
|---|
| 102 | """ |
|---|
| 103 | Create and return a list of panel objects |
|---|
| 104 | """ |
|---|
| 105 | self.parent = parent |
|---|
| 106 | # Creation of the fit panel |
|---|
| 107 | self.fit_panel = FitPanel(self.parent, -1) |
|---|
| 108 | #Set the manager forthe main panel |
|---|
| 109 | self.fit_panel.set_manager(self) |
|---|
| 110 | # List of windows used for the perspective |
|---|
| 111 | self.perspective = [] |
|---|
| 112 | self.perspective.append(self.fit_panel.window_name) |
|---|
| 113 | # take care of saving data, model and page associated with each other |
|---|
| 114 | self.page_finder={} |
|---|
| 115 | self.index_model=0 |
|---|
| 116 | return [self.fit_panel] |
|---|
| 117 | |
|---|
| 118 | |
|---|
| 119 | def get_perspective(self): |
|---|
| 120 | """ |
|---|
| 121 | Get the list of panel names for this perspective |
|---|
| 122 | """ |
|---|
| 123 | return self.perspective |
|---|
| 124 | |
|---|
| 125 | |
|---|
| 126 | def on_perspective(self, event): |
|---|
| 127 | """ |
|---|
| 128 | Call back function for the perspective menu item. |
|---|
| 129 | We notify the parent window that the perspective |
|---|
| 130 | has changed. |
|---|
| 131 | """ |
|---|
| 132 | self.parent.set_perspective(self.perspective) |
|---|
| 133 | |
|---|
| 134 | |
|---|
| 135 | def post_init(self): |
|---|
| 136 | """ |
|---|
| 137 | Post initialization call back to close the loose ends |
|---|
| 138 | [Somehow openGL needs this call] |
|---|
| 139 | """ |
|---|
| 140 | self.parent.set_perspective(self.perspective) |
|---|
| 141 | |
|---|
| 142 | |
|---|
| 143 | def _onSelect(self,event): |
|---|
| 144 | """ |
|---|
| 145 | when Select data to fit a new page is created .Its reference is |
|---|
| 146 | added to self.page_finder |
|---|
| 147 | """ |
|---|
| 148 | self.panel = event.GetEventObject() |
|---|
| 149 | for item in self.panel.graph.plottables: |
|---|
| 150 | if item.name == self.panel.graph.selected_plottable: |
|---|
| 151 | try: |
|---|
| 152 | name = item.group_id # item in Data1D |
|---|
| 153 | except: |
|---|
| 154 | name = 'Fit' |
|---|
| 155 | try: |
|---|
| 156 | page = self.fit_panel.add_page(name) |
|---|
| 157 | page.set_data_name(item) |
|---|
| 158 | self.page_finder[page]= FitProblem() |
|---|
| 159 | #creating Data type |
|---|
| 160 | data1= Data(sans_data=item) |
|---|
| 161 | datas=PlottableData(data=data1,data1d=item) |
|---|
| 162 | self.page_finder[page].add_data(datas) |
|---|
| 163 | except: |
|---|
| 164 | raise |
|---|
| 165 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: \ |
|---|
| 166 | data already Selected ")) |
|---|
| 167 | |
|---|
| 168 | |
|---|
| 169 | def get_page_finder(self): |
|---|
| 170 | """ @return self.page_finder used also by simfitpage.py""" |
|---|
| 171 | return self.page_finder |
|---|
| 172 | |
|---|
| 173 | |
|---|
| 174 | def set_page_finder(self,modelname,param,values): |
|---|
| 175 | """ |
|---|
| 176 | Used by simfitpage.py to reset a parameter given the string constrainst. |
|---|
| 177 | @param modelname: the name ot the model for with the parameter has to reset |
|---|
| 178 | @param value: can be a string in this case. |
|---|
| 179 | @note: expecting park used for fit. |
|---|
| 180 | """ |
|---|
| 181 | sim_page=self.fit_panel.get_page(0) |
|---|
| 182 | for page, value in self.page_finder.iteritems(): |
|---|
| 183 | if page != sim_page: |
|---|
| 184 | list=value.get_model() |
|---|
| 185 | model=list[0] |
|---|
| 186 | if model.name== modelname: |
|---|
| 187 | value.set_model_param(param,values) |
|---|
| 188 | break |
|---|
| 189 | |
|---|
| 190 | |
|---|
| 191 | |
|---|
| 192 | def split_string(self,item): |
|---|
| 193 | """ |
|---|
| 194 | recieve a word containing "" |
|---|
| 195 | """ |
|---|
| 196 | #print "fitting: split :went here" |
|---|
| 197 | |
|---|
| 198 | if string.find(item,".")!=-1: |
|---|
| 199 | param_names= re.split("\.",item) |
|---|
| 200 | model_name=param_names[0] |
|---|
| 201 | param_name=param_names[1] |
|---|
| 202 | return model_name,param_name |
|---|
| 203 | |
|---|
| 204 | |
|---|
| 205 | def _single_fit_completed(self,result,pars,current_pg,qmin,qmax): |
|---|
| 206 | """ |
|---|
| 207 | |
|---|
| 208 | """ |
|---|
| 209 | |
|---|
| 210 | try: |
|---|
| 211 | for page, value in self.page_finder.iteritems(): |
|---|
| 212 | if page== current_pg: |
|---|
| 213 | data = value.get_data() |
|---|
| 214 | list = value.get_model() |
|---|
| 215 | model= list[0] |
|---|
| 216 | break |
|---|
| 217 | #print "fitting : result",result,result.pvec,result.cov,result.fitness |
|---|
| 218 | i = 0 |
|---|
| 219 | for name in pars: |
|---|
| 220 | if result.pvec.__class__==numpy.float64: |
|---|
| 221 | model.model.setParam(name,result.pvec) |
|---|
| 222 | else: |
|---|
| 223 | model.model.setParam(name,result.pvec[i]) |
|---|
| 224 | #print "fitting: i name out[i]", i,name,float(result.pvec[i]) |
|---|
| 225 | i += 1 |
|---|
| 226 | new_cov=[] |
|---|
| 227 | if result.cov !=None: |
|---|
| 228 | for j in range(len(result.cov)): |
|---|
| 229 | new_cov.append(result.cov[j][j]) |
|---|
| 230 | else: |
|---|
| 231 | new_cov=None |
|---|
| 232 | current_pg.onsetValues(result.fitness, result.pvec,new_cov) |
|---|
| 233 | self.plot_helper(currpage=current_pg,qmin=qmin,qmax=qmax) |
|---|
| 234 | except: |
|---|
| 235 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 236 | |
|---|
| 237 | |
|---|
| 238 | def _simul_fit_completed(self,result,qmin,qmax): |
|---|
| 239 | """ |
|---|
| 240 | Parameter estimation completed, |
|---|
| 241 | display the results to the user |
|---|
| 242 | @param alpha: estimated best alpha |
|---|
| 243 | @param elapsed: computation time |
|---|
| 244 | """ |
|---|
| 245 | try: |
|---|
| 246 | for page, value in self.page_finder.iteritems(): |
|---|
| 247 | data = value.get_data() |
|---|
| 248 | list = value.get_model() |
|---|
| 249 | model= list[0] |
|---|
| 250 | |
|---|
| 251 | small_out = [] |
|---|
| 252 | small_cov = [] |
|---|
| 253 | i = 0 |
|---|
| 254 | for p in result.parameters: |
|---|
| 255 | print "fitting: fit in park fitting", p.name, p.value,p.stderr |
|---|
| 256 | model_name,param_name = self.split_string(p.name) |
|---|
| 257 | print "fitting: simultfit",model.model.name,model_name,param_name ,p.name,param_name,p.value |
|---|
| 258 | if model.model.name == model_name: |
|---|
| 259 | print "fitting: hello",p.name,param_name,p.value |
|---|
| 260 | small_out.append(p.value ) |
|---|
| 261 | small_cov.append(p.stderr) |
|---|
| 262 | model.model.setParam(param_name,p.value) |
|---|
| 263 | #print "fitting: out of each page",page,small_out,small_cov,data.group_id |
|---|
| 264 | page.onsetValues(result.fitness, small_out,small_cov) |
|---|
| 265 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax) |
|---|
| 266 | except: |
|---|
| 267 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 268 | |
|---|
| 269 | |
|---|
| 270 | def _completed(self,result,pars,current_pg, elapsed): |
|---|
| 271 | """ |
|---|
| 272 | Method called with the results when the inversion |
|---|
| 273 | is done |
|---|
| 274 | |
|---|
| 275 | @param out: output coefficient for the base functions |
|---|
| 276 | @param cov: covariance matrix |
|---|
| 277 | @param pr: Invertor instance |
|---|
| 278 | @param elapsed: time spent computing |
|---|
| 279 | """ |
|---|
| 280 | |
|---|
| 281 | # Save useful info |
|---|
| 282 | self.elapsed = elapsed |
|---|
| 283 | # Keep a copy of the last result |
|---|
| 284 | self._last_out = result.pvec |
|---|
| 285 | self._last_cov = result.cov |
|---|
| 286 | self._last_chisqr=result.fitness |
|---|
| 287 | #print "fitting: initial parameter ",pars |
|---|
| 288 | #result=self.fitter.fit(qmin,qmax) |
|---|
| 289 | |
|---|
| 290 | #print "fitting : result",result,result.pvec,result.cov,result.fitness |
|---|
| 291 | i = 0 |
|---|
| 292 | for name in pars: |
|---|
| 293 | if result.pvec.__class__==numpy.float64: |
|---|
| 294 | model.model.setParam(name,result.pvec) |
|---|
| 295 | else: |
|---|
| 296 | model.model.setParam(name,result.pvec[i]) |
|---|
| 297 | #print "fitting: i name out[i]", i,name,float(result.pvec[i]) |
|---|
| 298 | i += 1 |
|---|
| 299 | new_cov=[] |
|---|
| 300 | if result.cov !=None: |
|---|
| 301 | for j in range(len(result.cov)): |
|---|
| 302 | new_cov.append(result.cov[j][j]) |
|---|
| 303 | else: |
|---|
| 304 | new_cov=None |
|---|
| 305 | current_pg.onsetValues(result.fitness, result.pvec,new_cov) |
|---|
| 306 | self.plot_helper(currpage=current_pg,qmin=qmin,qmax=qmax) |
|---|
| 307 | |
|---|
| 308 | |
|---|
| 309 | def _on_single_fit(self,id=None,qmin=None,qmax=None): |
|---|
| 310 | """ |
|---|
| 311 | perform fit for the current page and return chisqr,out and cov |
|---|
| 312 | @param engineName: type of fit to be performed |
|---|
| 313 | @param id: unique id corresponding to a fit problem(model, set of data) |
|---|
| 314 | @param model: model to fit |
|---|
| 315 | |
|---|
| 316 | """ |
|---|
| 317 | #set an engine to perform fit |
|---|
| 318 | from sans.fit.Fitting import Fit |
|---|
| 319 | self.fitter= Fit(self._fit_engine) |
|---|
| 320 | #Setting an id to store model and data |
|---|
| 321 | if id==None: |
|---|
| 322 | id=0 |
|---|
| 323 | self.id=id |
|---|
| 324 | current_pg=self.fit_panel.get_current_page() |
|---|
| 325 | for page, value in self.page_finder.iteritems(): |
|---|
| 326 | if page ==current_pg : |
|---|
| 327 | #print "fitting: self.page_finder",self.page_finder |
|---|
| 328 | data = value.get_data() |
|---|
| 329 | list=value.get_model() |
|---|
| 330 | model=list[0] |
|---|
| 331 | |
|---|
| 332 | #Create dictionary of parameters for fitting used |
|---|
| 333 | pars=[] |
|---|
| 334 | templist=[] |
|---|
| 335 | try: |
|---|
| 336 | templist=current_pg.get_param_list() |
|---|
| 337 | except: |
|---|
| 338 | raise |
|---|
| 339 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 340 | return |
|---|
| 341 | #for element in templist: |
|---|
| 342 | # print "fitting: templist",str(element[0].GetLabelText()) |
|---|
| 343 | #print "fitting: model list",model.getParamList() |
|---|
| 344 | for element in templist: |
|---|
| 345 | try: |
|---|
| 346 | pars.append(str(element[0].GetLabelText())) |
|---|
| 347 | except: |
|---|
| 348 | raise |
|---|
| 349 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 350 | return |
|---|
| 351 | #print "fitting: pars",pars |
|---|
| 352 | pars.sort() |
|---|
| 353 | |
|---|
| 354 | self.fitter.set_model(model,model.name, self.id, pars) |
|---|
| 355 | self.fitter.set_data(data,self.id,qmin,qmax) |
|---|
| 356 | #Do the fit SCIPY |
|---|
| 357 | try: |
|---|
| 358 | result=self.fitter.fit() |
|---|
| 359 | self._single_fit_completed(result,pars,current_pg,qmin,qmax) |
|---|
| 360 | |
|---|
| 361 | except: |
|---|
| 362 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
|---|
| 363 | return |
|---|
| 364 | |
|---|
| 365 | def _on_simul_fit(self, id=None,qmin=None,qmax=None): |
|---|
| 366 | """ |
|---|
| 367 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
|---|
| 368 | @param engineName: type of fit to be performed |
|---|
| 369 | @param id: unique id corresponding to a fit problem(model, set of data) |
|---|
| 370 | in park_integration |
|---|
| 371 | @param model: model to fit |
|---|
| 372 | |
|---|
| 373 | """ |
|---|
| 374 | #print "fitting: probabily breaking on fit call" |
|---|
| 375 | #set an engine to perform fit |
|---|
| 376 | from sans.fit.Fitting import Fit |
|---|
| 377 | self.fitter= Fit(self._fit_engine) |
|---|
| 378 | #Setting an id to store model and data |
|---|
| 379 | if id==None: |
|---|
| 380 | id = 0 |
|---|
| 381 | self.id = id |
|---|
| 382 | for page, value in self.page_finder.iteritems(): |
|---|
| 383 | try: |
|---|
| 384 | #print "fitting: self.page_finder",value |
|---|
| 385 | data = value.get_data() |
|---|
| 386 | #print "fitting: data",data |
|---|
| 387 | list = value.get_model() |
|---|
| 388 | model= list[0] |
|---|
| 389 | if data != None : |
|---|
| 390 | #Create dictionary of parameters for fitting used |
|---|
| 391 | pars = [] |
|---|
| 392 | templist = [] |
|---|
| 393 | try: |
|---|
| 394 | templist = page.get_param_list() |
|---|
| 395 | except: |
|---|
| 396 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 397 | return |
|---|
| 398 | |
|---|
| 399 | for element in templist: |
|---|
| 400 | try: |
|---|
| 401 | name = str(element[0].GetLabelText()) |
|---|
| 402 | pars.append(name) |
|---|
| 403 | except: |
|---|
| 404 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 405 | return |
|---|
| 406 | |
|---|
| 407 | print "fitting: pars",pars,model.name |
|---|
| 408 | #print "fitter",self.fitter |
|---|
| 409 | #print "fitting: model name",model.name |
|---|
| 410 | self.fitter.set_model(model,model.model.name, self.id, pars) |
|---|
| 411 | self.fitter.set_data(data,self.id,qmin,qmax) |
|---|
| 412 | else: |
|---|
| 413 | raise ValueError," Fitting: cannot set model with empty parameter" |
|---|
| 414 | self.id += 1 |
|---|
| 415 | except: |
|---|
| 416 | raise |
|---|
| 417 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
|---|
| 418 | return |
|---|
| 419 | #Do the fit SCIPY |
|---|
| 420 | try: |
|---|
| 421 | result=self.fitter.fit() |
|---|
| 422 | self._simul_fit_completed(result,qmin,qmax) |
|---|
| 423 | except: |
|---|
| 424 | raise |
|---|
| 425 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
|---|
| 426 | return |
|---|
| 427 | |
|---|
| 428 | def _on_change_engine(self, engine='park'): |
|---|
| 429 | """ |
|---|
| 430 | Allow to select the type of engine to perform fit |
|---|
| 431 | @param engine: the key work of the engine |
|---|
| 432 | """ |
|---|
| 433 | self._fit_engine = engine |
|---|
| 434 | |
|---|
| 435 | |
|---|
| 436 | def _on_model_panel(self, evt): |
|---|
| 437 | """ |
|---|
| 438 | react to model selection on any combo box or model menu.plot the model |
|---|
| 439 | """ |
|---|
| 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_model_name(name) |
|---|
| 446 | current_pg.set_panel(model) |
|---|
| 447 | try: |
|---|
| 448 | data=self.page_finder[current_pg].get_data() |
|---|
| 449 | M_name="M"+str(self.index_model)+"= "+name+"("+data.group_id+")" |
|---|
| 450 | except: |
|---|
| 451 | raise |
|---|
| 452 | M_name="M"+str(self.index_model)+"= "+name |
|---|
| 453 | model.name="M"+str(self.index_model) |
|---|
| 454 | self.index_model += 1 |
|---|
| 455 | self.page_finder[current_pg].set_theory("Fitness") |
|---|
| 456 | #print "on model",model.name |
|---|
| 457 | self.page_finder[current_pg].set_model(Model(model),M_name) |
|---|
| 458 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
|---|
| 459 | sim_page.add_model(self.page_finder) |
|---|
| 460 | |
|---|
| 461 | |
|---|
| 462 | def redraw_model(self,qmin= None,qmax= None): |
|---|
| 463 | """ |
|---|
| 464 | Draw a theory according to model changes or data range. |
|---|
| 465 | @param qmin: the minimum value plotted for theory |
|---|
| 466 | @param qmax: the maximum value plotted for theory |
|---|
| 467 | """ |
|---|
| 468 | current_pg=self.fit_panel.get_current_page() |
|---|
| 469 | for page, value in self.page_finder.iteritems(): |
|---|
| 470 | if page ==current_pg : |
|---|
| 471 | break |
|---|
| 472 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
|---|
| 473 | |
|---|
| 474 | def plot_helper(self,currpage,qmin=None,qmax=None): |
|---|
| 475 | """ |
|---|
| 476 | Plot a theory given a model and data |
|---|
| 477 | @param model: the model from where the theory is derived |
|---|
| 478 | @param currpage: page in a dictionary referring to some data |
|---|
| 479 | """ |
|---|
| 480 | #print "fitting: plot helper" |
|---|
| 481 | if self.fit_panel.get_page_count() >1: |
|---|
| 482 | for page in self.page_finder.iterkeys(): |
|---|
| 483 | if page==currpage : |
|---|
| 484 | break |
|---|
| 485 | |
|---|
| 486 | data=self.page_finder[page].get_data() |
|---|
| 487 | list=self.page_finder[page].get_model() |
|---|
| 488 | model=list[0] |
|---|
| 489 | if data!=None: |
|---|
| 490 | theory = Theory1D(x=[], y=[]) |
|---|
| 491 | theory.name = self.page_finder[page].get_theory() |
|---|
| 492 | theory.group_id = data.group_id |
|---|
| 493 | |
|---|
| 494 | x_name, x_units = data.get_xaxis() |
|---|
| 495 | y_name, y_units = data.get_yaxis() |
|---|
| 496 | theory.xaxis(x_name, x_units) |
|---|
| 497 | theory.yaxis(y_name, y_units) |
|---|
| 498 | |
|---|
| 499 | if qmin == None : |
|---|
| 500 | qmin = min(data.x) |
|---|
| 501 | if qmax == None : |
|---|
| 502 | qmax = max(data.x) |
|---|
| 503 | try: |
|---|
| 504 | tempx = qmin |
|---|
| 505 | tempy = model.eval(qmin) |
|---|
| 506 | theory.x.append(tempx) |
|---|
| 507 | theory.y.append(tempy) |
|---|
| 508 | except : |
|---|
| 509 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
|---|
| 510 | skipping point x %g %s" %(qmin, sys.exc_value))) |
|---|
| 511 | |
|---|
| 512 | for i in range(len(data.x)): |
|---|
| 513 | try: |
|---|
| 514 | if data.x[i]> qmin and data.x[i]< qmax: |
|---|
| 515 | tempx = data.x[i] |
|---|
| 516 | tempy = model.eval(tempx) |
|---|
| 517 | |
|---|
| 518 | theory.x.append(tempx) |
|---|
| 519 | theory.y.append(tempy) |
|---|
| 520 | except: |
|---|
| 521 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
|---|
| 522 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
|---|
| 523 | try: |
|---|
| 524 | tempx = qmax |
|---|
| 525 | tempy = model.eval(qmax) |
|---|
| 526 | theory.x.append(tempx) |
|---|
| 527 | theory.y.append(tempy) |
|---|
| 528 | except: |
|---|
| 529 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
|---|
| 530 | skipping point x %g %s" %(qmax, sys.exc_value))) |
|---|
| 531 | try: |
|---|
| 532 | from sans.guicomm.events import NewPlotEvent |
|---|
| 533 | #print"fitting: theory",theory |
|---|
| 534 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model")) |
|---|
| 535 | except: |
|---|
| 536 | raise |
|---|
| 537 | print "SimView.complete1D: could not import sans.guicomm.events" |
|---|
| 538 | |
|---|
| 539 | |
|---|
| 540 | def _on_model_menu(self, evt): |
|---|
| 541 | """ |
|---|
| 542 | Plot a theory from a model selected from the menu |
|---|
| 543 | """ |
|---|
| 544 | x = pylab.arange(0.001, 0.1, 0.001) |
|---|
| 545 | xlen = len(x) |
|---|
| 546 | dy = numpy.zeros(xlen) |
|---|
| 547 | y = numpy.zeros(xlen) |
|---|
| 548 | |
|---|
| 549 | for i in range(xlen): |
|---|
| 550 | y[i] = evt.model.run(x[i]) |
|---|
| 551 | dy[i] = math.sqrt(math.fabs(y[i])) |
|---|
| 552 | try: |
|---|
| 553 | |
|---|
| 554 | new_plot = Theory1D(x, y) |
|---|
| 555 | #new_plot.name = evt.model.__class__.__name__ |
|---|
| 556 | new_plot.name ="Fitness" |
|---|
| 557 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
|---|
| 558 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
|---|
| 559 | |
|---|
| 560 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model")) |
|---|
| 561 | except: |
|---|
| 562 | print "SimView.complete1D: could not import sans.guicomm.events" |
|---|
| 563 | |
|---|
| 564 | |
|---|
| 565 | if __name__ == "__main__": |
|---|
| 566 | i = Plugin() |
|---|
| 567 | |
|---|
| 568 | |
|---|
| 569 | |
|---|
| 570 | |
|---|
