fitDialog.py @ 0be5c81

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 0be5c81 was 052a66bc, checked in by Mathieu Doucet <doucetm@…>, 16 years ago
Bug fixing
Property mode set to `100644`
File size: 18.4 KB

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1	#!/usr/bin/python
2
3	# fitDialog.py
4
5	import wx
6	from PlotPanel import PlotPanel
7	from plottables import Theory1D
8	import math,pylab,fittings
9	import transform
10
11	def format_number(value, high=False):
12	"""
13	Return a float in a standardized, human-readable formatted string
14	"""
15	try:
16	value = float(value)
17	except:
18	print "returning 0"
19	return "0"
20
21	if high:
22	return "%-6.4g" % value
23	else:
24	return "%-5.3g" % value
25
26
27	class LinearFit(wx.Dialog):
28	def __init__(self, parent, plottable, push_data,transform, id, title):
29	wx.Dialog.__init__(self, parent, id, title, size=(400, 380))
30
31	"""
32	Dialog window pops- up when select Linear fit on Context menu
33	Displays fitting parameters
34	"""
35	self.parent = parent
36	self.transform = transform
37
38	#dialog panel self call function to plot the fitting function
39	self.push_data = push_data
40	#dialog self plottable
41	self.plottable = plottable
42
43	# Receive transformations of x and y
44	self.xLabel,self.yLabel,self.Avalue,self.Bvalue,\
45	self.ErrAvalue,self.ErrBvalue,self.Chivalue= self.transform()
46
47	#Dialog interface
48	vbox = wx.BoxSizer(wx.VERTICAL)
49	sizer = wx.GridBagSizer(5,5)
50
51	_BOX_WIDTH = 100
52
53	self.tcA = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20))
54	self.tcA.SetToolTipString("Fit value for the slope parameter.")
55	self.tcErrA = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20))
56	self.tcErrA.SetToolTipString("Error on the slope parameter.")
57	self.tcB = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20))
58	self.tcA.SetToolTipString("Fit value for the constant parameter.")
59	self.tcErrB = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20))
60	self.tcErrB.SetToolTipString("Error on the constant parameter.")
61	self.tcChi = wx.TextCtrl(self, -1,size=(_BOX_WIDTH,20))
62	self.tcChi.SetToolTipString("Chi^2 over degrees of freedom.")
63	self.xminFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
64	self.xminFit.SetToolTipString("Enter the minimum value on the x-axis to be included in the fit.")
65	self.xmaxFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
66	self.xmaxFit.SetToolTipString("Enter the maximum value on the x-axis to be included in the fit.")
67	self.xminTransFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
68	self.xminTransFit.SetToolTipString("Minimum value on the x-axis for the plotted data.")
69	self.xmaxTransFit = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
70	self.xmaxTransFit.SetToolTipString("Maximum value on the x-axis for the plotted data.")
71	self.initXmin = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
72	self.initXmin.SetToolTipString("Minimum value available on the x-axis for the plotted data.")
73	self.initXmax = wx.TextCtrl(self,-1,size=(_BOX_WIDTH,20))
74	self.initXmax.SetToolTipString("Maximum value available on the x-axis for the plotted data.")
75
76	# Make the info box not editable
77	#_BACKGROUND_COLOR = '#ffdf85'
78	_BACKGROUND_COLOR = self.GetBackgroundColour()
79	self.xminTransFit.SetEditable(False)
80	self.xminTransFit.SetBackgroundColour(_BACKGROUND_COLOR)
81	self.xmaxTransFit.SetEditable(False)
82	self.xmaxTransFit.SetBackgroundColour(_BACKGROUND_COLOR)
83	self.initXmin.SetEditable(False)
84	self.initXmin.SetBackgroundColour(_BACKGROUND_COLOR)
85	self.initXmax.SetEditable(False)
86	self.initXmax.SetBackgroundColour(_BACKGROUND_COLOR)
87
88
89	# Buttons on the bottom
90	self.static_line_1 = wx.StaticLine(self, -1)
91	self.btFit =wx.Button(self,-1,'Fit')
92	self.btFit.Bind(wx.EVT_BUTTON, self._onFit)
93	self.btFit.SetToolTipString("Perform fit.")
94	self.btClose =wx.Button(self, wx.ID_CANCEL,'Close')
95
96	# Intro
97	explanation = "Perform fit for y(x) = Ax + B"
98
99	vbox.Add(sizer)
100
101	ix = 0
102	iy = 1
103	sizer.Add(wx.StaticText(self, -1, explanation),(iy, ix),\
104	(1,1), wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
105	iy += 2
106	sizer.Add(wx.StaticText(self, -1, 'Parameter A'),(iy, ix),\
107	(1,1), wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
108	ix += 1
109	sizer.Add(self.tcA,(iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
110	ix += 1
111	sizer.Add(wx.StaticText(self, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
112	ix += 1
113	sizer.Add(self.tcErrA, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
114	iy += 1
115	ix = 0
116	sizer.Add(wx.StaticText(self, -1, 'Parameter B'),(iy, ix),(1,1),\
117	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
118	ix += 1
119	sizer.Add(self.tcB, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
120	ix += 1
121	sizer.Add(wx.StaticText(self, -1, '+/-'),(iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
122	ix += 1
123	sizer.Add(self.tcErrB, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
124	iy += 1
125	ix = 0
126	sizer.Add(wx.StaticText(self, -1, 'Chi2/dof'),(iy, ix),(1,1),\
127	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
128	ix += 1
129	sizer.Add(self.tcChi, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
130	iy += 2
131	ix = 1
132	sizer.Add(wx.StaticText(self, -1, 'Min'),(iy, ix),(1,1),\
133	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
134	ix += 2
135	sizer.Add(wx.StaticText(self, -1, 'Max'),(iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
136	iy += 1
137	ix = 0
138	sizer.Add(wx.StaticText(self, -1, 'Maximum range'),(iy, ix),(1,1),\
139	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
140	ix +=1
141	sizer.Add(self.initXmin, (iy, ix),(1,1),\
142	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
143	ix += 2
144	sizer.Add(self.initXmax, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
145
146	iy += 1
147	ix = 0
148	sizer.Add(wx.StaticText(self, -1, 'Fit range of '+self.xLabel),(iy, ix),(1,1),\
149	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
150	ix += 1
151	sizer.Add(self.xminTransFit, (iy, ix),(1,1),\
152	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
153	ix += 2
154	sizer.Add(self.xmaxTransFit, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
155
156	iy += 1
157	ix = 0
158	sizer.Add(wx.StaticText(self, -1, 'Fit range of x'),(iy, ix),(1,1),\
159	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 15)
160	ix += 1
161	sizer.Add(self.xminFit, (iy, ix),(1,1),\
162	wx.LEFT\|wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
163	ix += 2
164	sizer.Add(self.xmaxFit, (iy, ix),(1,1), wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
165	iy += 1
166	ix = 1
167
168	vbox.Add(self.static_line_1, 0, wx.EXPAND, 0)
169
170	sizer_button = wx.BoxSizer(wx.HORIZONTAL)
171	sizer_button.Add((20, 20), 1, wx.EXPAND\|wx.ADJUST_MINSIZE, 0)
172	sizer_button.Add(self.btFit, 0, wx.LEFT\|wx.RIGHT\|wx.ADJUST_MINSIZE, 10)
173	sizer_button.Add(self.btClose, 0, wx.LEFT\|wx.RIGHT\|wx.ADJUST_MINSIZE, 10)
174	vbox.Add(sizer_button, 0, wx.EXPAND\|wx.BOTTOM\|wx.TOP, 10)
175
176
177
178	sizer.Add(self.btFit, (iy, ix),(1,1), wx.LEFT\|wx.ADJUST_MINSIZE, 0)
179
180
181	#panel.SetSizer(sizer)
182	self.SetSizer(vbox)
183	self.Centre()
184
185	# Receives the type of model for the fitting
186	from LineModel import LineModel
187	self.model = LineModel()
188
189	#Display the fittings values
190	self.default_A = self.model.getParam('A')
191	self.default_B = self.model.getParam('B')
192	self.cstA = fittings.Parameter(self.model, 'A', self.default_A)
193	self.cstB = fittings.Parameter(self.model, 'B', self.default_B)
194
195	# Set default value of parameter in fit dialog
196
197	if self.Avalue==None:
198	self.tcA.SetLabel(format_number(self.default_A))
199	else :
200	self.tcA.SetLabel(format_number(self.Avalue))
201	if self.Bvalue==None:
202	self.tcB.SetLabel(format_number(self.default_B))
203	else:
204	self.tcB.SetLabel(format_number(self.Bvalue))
205	if self.ErrAvalue==None:
206	self.tcErrA.SetLabel(format_number(0.0))
207	else:
208	self.tcErrA.SetLabel(format_number(self.ErrAvalue))
209	if self.ErrBvalue==None:
210	self.tcErrB.SetLabel(format_number(0.0))
211	else:
212	self.tcErrB.SetLabel(format_number(self.ErrBvalue))
213	if self.Chivalue==None:
214	self.tcChi.SetLabel(format_number(0.0))
215	else:
216	self.tcChi.SetLabel(format_number(self.Chivalue))
217	if self.plottable.x !=[]:
218	self.mini =min(self.plottable.x)
219	self.maxi =max(self.plottable.x)
220	#store the values of View in self.x,self.y,self.dx,self.dy
221	self.x,self.y,self.dx,self.dy= self.plottable.returnValuesOfView()
222
223
224	self.xminTransFit.SetLabel(format_number(min(self.x)))
225	self.xmaxTransFit.SetLabel(format_number(max(self.x)))
226
227	self.initXmin.SetValue(format_number(self.mini))
228	self.initXmax.SetValue(format_number(self.maxi))
229
230	self.xminFit.SetLabel(format_number(self.mini))
231	self.xmaxFit.SetLabel(format_number(self.maxi))
232
233
234	def _onFit(self ,event):
235	"""
236	Performs the fit. Receive an event when clicking on the button Fit.Computes chisqr ,
237	A and B parameters of the best linear fit y=Ax +B
238	Push a plottable to
239	"""
240	tempx=[]
241	tempy=[]
242	tempdy = []
243
244
245
246
247	# Check if View contains a x array .we online fit when x exits
248	# makes transformation for y as a line to fit
249	if self.x != []:
250
251
252	if(self.checkFitValues(self.xminFit) == True):
253	#Check if the field of Fit Dialog contain values and use the x max and min of the user
254	xmin,xmax = self._checkVal(self.xminFit.GetValue(),self.xmaxFit.GetValue())
255
256	xminView=self.floatTransform(xmin)
257	xmaxView=self.floatTransform(xmax)
258	if (self.xLabel=="log10(x)"):
259	self.xminTransFit.SetValue(format_number(math.log10(xminView)))
260	self.xmaxTransFit.SetValue(format_number(math.log10(xmaxView)))
261	else:
262	self.xminTransFit.SetValue(format_number(xminView))
263	self.xmaxTransFit.SetValue(format_number(xmaxView))
264	# Store the transformed values of view x, y,dy in variables before the fit
265	if self.yLabel.lower() == "log10(y)":
266	if (self.xLabel.lower() == "log10(x)"):
267	for i in range(len(self.x)):
268	if self.x[i]>= math.log10(xmin):
269	tempy.append(math.log10(self.y[i]))
270	tempdy.append(transform.errToLogX(self.y[i],0,self.dy[i],0))
271	else:
272	for i in range(len(self.y)):
273	tempy.append(math.log10(self.y[i]))
274	tempdy.append(transform.errToLogX(self.y[i],0,self.dy[i],0))
275	else:
276	tempy = self.y
277	tempdy = self.dy
278
279	if (self.xLabel.lower() == "log10(x)"):
280	for x_i in self.x:
281	if x_i >= math.log10(xmin):
282	tempx.append(math.log10(x_i))
283	else:
284	tempx = self.x
285
286	#Find the fitting parameters
287
288	if (self.xLabel.lower() == "log10(x)"):
289	chisqr, out, cov = fittings.sansfit(self.model, [self.cstA, self.cstB],
290	tempx, tempy,tempdy,math.log10(xmin),math.log10(xmax))
291	else:
292	chisqr, out, cov = fittings.sansfit(self.model,
293	[self.cstA, self.cstB],tempx, tempy,tempdy,xminView,xmaxView)
294
295	# Use chi2/dof
296	if len(tempx)>0:
297	chisqr = chisqr/len(tempx)
298
299	#Check that cov and out are iterable before displaying them
300	if cov ==None:
301	errA =0.0
302	errB =0.0
303	else:
304	errA= math.sqrt(cov[0][0])
305	errB= math.sqrt(cov[1][1])
306	if out==None:
307	cstA=0.0
308	cstB=0.0
309	else:
310	cstA=out[0]
311	cstB=out[1]
312	# Reset model with the right values of A and B
313	self.model.setParam('A', float(cstA))
314	self.model.setParam('B', float(cstB))
315
316	tempx = []
317	tempy = []
318	y_model = 0.0
319	# load tempy with the minimum transformation
320
321	if self.xLabel == "log10(x)":
322	y_model = self.model.run(math.log10(xmin))
323	tempx.append(xmin)
324	else:
325	y_model = self.model.run(xminView)
326	tempx.append(xminView)
327
328	if self.yLabel == "log10(y)":
329	tempy.append(math.pow(10,y_model))
330	print "tempy",tempy
331	else:
332	tempy.append(y_model)
333
334	# load tempy with the maximum transformation
335	if self.xLabel == "log10(x)":
336	y_model = self.model.run(math.log10(xmax))
337	tempx.append(xmax)
338	else:
339	y_model = self.model.run(xmaxView)
340	tempx.append(xmaxView)
341
342	if self.yLabel == "log10(y)":
343	tempy.append(math.pow(10,y_model))
344	else:
345	tempy.append(y_model)
346	#Set the fit parameter display when FitDialog is opened again
347	self.Avalue=cstB
348	self.Bvalue=cstA
349	self.ErrAvalue=errA
350	self.ErrBvalue=errB
351	self.Chivalue=chisqr
352	self.push_data(tempx,tempy,xminView,xmaxView,xmin,xmax,self._ongetValues())
353
354	# Display the fitting value on the Fit Dialog
355	self._onsetValues(cstB, cstA, errA,errB,chisqr)
356
357
358
359	def _onsetValues(self,cstA,cstB,errA,errB,Chi):
360	"""
361	Display the value on fit Dialog
362	"""
363	self.tcA.SetValue(format_number(cstA))
364	self.tcB.SetValue(format_number(cstB))
365	self.tcErrA.SetValue(format_number(errA))
366	self.tcErrB.SetValue(format_number(errB))
367	self.tcChi.SetValue(format_number(Chi))
368
369	def _ongetValues(self):
370	"""
371	Display the value on fit Dialog
372	"""
373	return self.Avalue, self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue
374
375
376	def _checkVal(self,usermin, usermax):
377	"""
378	Ensure that fields parameter contains a min and a max value
379	within x min and x max range
380	"""
381	if float(usermin) < float(usermax):
382	if float(usermin) >= float(self.mini) and float(usermin) < float(self.maxi):
383	self.xminFit.SetValue(format_number(float(usermin)))
384	else:
385	self.xminFit.SetValue(format_number(float(self.mini)))
386
387	if float(usermax) > float(self.mini) and float(usermax) <= float(self.maxi):
388	self.xmaxFit.SetLabel(format_number(float(usermax)))
389	else:
390	self.xmaxFit.SetLabel(format_number(float(self.maxi)))
391
392	mini =float(self.xminFit.GetValue())
393	maxi =float(self.xmaxFit.GetValue())
394
395	return mini, maxi
396	def floatTransform(self,x):
397	"""
398	transform a float.It is use to determine the x.View min and x.View max for values
399	not in x
400	"""
401	if ( self.xLabel=="x" ):
402	return transform.toX(x)
403
404	if ( self.xLabel=="x^(2)" ):
405	return transform.toX2(x)
406
407	if (self.xLabel=="log10(x)" ):
408	if x >0:
409	return x
410	else:
411	raise ValueError,"cannot compute log of a negative number"
412
413	def checkFitValues(self,item):
414	"""
415	Check the validity of input values
416	"""
417	flag = True
418	value = item.GetValue()
419	# Check for possible values entered
420	if (self.xLabel=="log10(x)"):
421	if (float(value) > 0):
422	item.SetBackgroundColour(wx.WHITE)
423	item.Refresh()
424	else:
425	flag = False
426	item.SetBackgroundColour("pink")
427	item.Refresh()
428
429	return flag
430
431	def setFitRange(self,xmin,xmax,xminTrans,xmaxTrans):
432	"""
433	Set fit parameters
434	"""
435	self.xminFit.SetValue(format_number(xmin))
436	self.xmaxFit.SetValue(format_number(xmax))
437	self.xminTransFit.SetValue(format_number(xminTrans))
438	self.xmaxTransFit.SetValue(format_number(xmaxTrans))
439
440
441	class MyApp(wx.App):
442	def OnInit(self):
443	wx.InitAllImageHandlers()
444	plot = Theory1D([],[])
445	dialog = LinearFit(None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit')
446	if dialog.ShowModal() == wx.ID_OK:
447	pass
448	dialog.Destroy()
449
450	return 1
451
452	def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func):
453	pass
454
455	def returnTrans(self):
456	return '','',0,0,0,0,0
457
458	# end of class MyApp
459
460	if __name__ == "__main__":
461	app = MyApp(0)
462	app.MainLoop()

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source: sasview/guitools/fitDialog.py @ 0be5c81

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