PlotPanel.py @ 1d02586

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 1d02586 was 4972de2, checked in by Mathieu Doucet <doucetm@…>, 16 years ago
Updated for interactive graphs.
Property mode set to `100644`
File size: 30.6 KB

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1	import wx.lib.newevent
2	import matplotlib
3	matplotlib.interactive(False)
4	#Use the WxAgg back end. The Wx one takes too long to render
5	matplotlib.use('WXAgg')
6	from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
7	from matplotlib.figure import Figure
8	import os
9	import fittings
10	import transform
11	from canvas import FigureCanvas
12	from matplotlib.widgets import RectangleSelector
13	from pylab import gca, gcf
14	from plottables import Theory1D
15	#TODO: make the plottables interactive
16	from binder import BindArtist
17
18	DEBUG = False
19
20	from plottables import Graph
21	#(FuncFitEvent, EVT_FUNC_FIT) = wx.lib.newevent.NewEvent()
22	import math,pylab,re
23
24	def show_tree(obj,d=0):
25	"""Handy function for displaying a tree of graph objects"""
26	print "%s%s" % ("-"*d,obj.__class__.__name__)
27	if 'get_children' in dir(obj):
28	for a in obj.get_children(): show_tree(a,d+1)
29
30	from unitConverter import UnitConvertion as convertUnit
31	def _convertUnit(pow,unit):
32	"""
33	Displays the unit with the proper convertion
34	@param pow: the user set the power of the unit
35	@param unit: the unit of the data
36	"""
37	return unit
38	toks=re.match("^", unit)
39	if not toks==None:
40	unitValue= re.split("{",unit)
41	unitPower= re.split("}",unitValue[1])
42	power= int(unitPower[0])*pow
43	word= unitValue[0]+"{"+str(power)+"}"
44	if power==1:
45	tempUnit=re.split("\^",unitValue[0])
46	unit=tempUnit[0]
47	else:
48	unit = word
49	#print"this is unit",unit
50	return unit
51	def _rescale(lo,hi,step,pt=None,bal=None,scale='linear'):
52	"""
53	Rescale (lo,hi) by step, returning the new (lo,hi)
54	The scaling is centered on pt, with positive values of step
55	driving lo/hi away from pt and negative values pulling them in.
56	If bal is given instead of point, it is already in [0,1] coordinates.
57
58	This is a helper function for step-based zooming.
59	"""
60	# Convert values into the correct scale for a linear transformation
61	# TODO: use proper scale transformers
62	loprev = lo
63	hiprev = hi
64	ptprev = pt
65	if scale=='log':
66	assert lo >0
67	if lo > 0 :
68	lo = math.log10(lo)
69	if hi > 0 :
70	hi = math.log10(hi)
71	if pt is not None: pt = math.log10(pt)
72
73	# Compute delta from axis range * %, or 1-% if persent is negative
74	if step > 0:
75	delta = float(hi-lo)*step/100
76	else:
77	delta = float(hi-lo)*step/(100-step)
78
79	# Add scale factor proportionally to the lo and hi values, preserving the
80	# point under the mouse
81	if bal is None:
82	bal = float(pt-lo)/(hi-lo)
83	lo = lo - bal*delta
84	hi = hi + (1-bal)*delta
85
86	# Convert transformed values back to the original scale
87	if scale=='log':
88	if (lo <= -250) or (hi >= 250):
89	lo=loprev
90	hi=hiprev
91	else:
92	lo,hi = math.pow(10.,lo),math.pow(10.,hi)
93	return (lo,hi)
94
95
96	class PlotPanel(wx.Panel):
97	"""
98	The PlotPanel has a Figure and a Canvas. OnSize events simply set a
99	flag, and the actually redrawing of the
100	figure is triggered by an Idle event.
101	"""
102	def __init__(self, parent, id = -1, color = None,\
103	dpi = None, **kwargs):
104	wx.Panel.__init__(self, parent, id = id, **kwargs)
105	self.parent = parent
106	self.figure = Figure(None, dpi)
107	#self.figure = pylab.Figure(None, dpi)
108	#self.canvas = NoRepaintCanvas(self, -1, self.figure)
109	self.canvas = FigureCanvas(self, -1, self.figure)
110	self.SetColor(color)
111	#self.Bind(wx.EVT_IDLE, self._onIdle)
112	#self.Bind(wx.EVT_SIZE, self._onSize)
113	self._resizeflag = True
114	self._SetSize()
115	self.subplot = self.figure.add_subplot(111)
116	self.figure.subplots_adjust(left=.2, bottom=.2)
117	self.yscale = 'linear'
118	self.xscale = 'linear'
119	sizer = wx.BoxSizer(wx.VERTICAL)
120	sizer.Add(self.canvas,1,wx.EXPAND)
121	self.SetSizer(sizer)
122
123	# Graph object to manage the plottables
124	self.graph = Graph()
125	#self.Bind(EVT_FUNC_FIT, self.onFitRange)
126	self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu)
127
128	#self.Bind(EVT_PROPERTY, self._onEVT_FUNC_PROPERTY)
129	# Define some constants
130	self.colorlist = ['b','g','r','c','m','y']
131	self.symbollist = ['o','x','^','v','<','>','+','s','d','D','h','H','p']
132	#User scale
133	self.xLabel ="x"
134	self.yLabel ="y"
135	self.viewModel ="--"
136	# keep track if the previous transformation of x and y in Property dialog
137	self.prevXtrans ="x"
138	self.prevYtrans ="y"
139	self.canvas.mpl_connect('scroll_event',self.onWheel)
140	#taking care of dragging
141	self.canvas.mpl_connect('motion_notify_event',self.onMouseMotion)
142	self.canvas.mpl_connect('button_press_event',self.onLeftDown)
143	self.canvas.mpl_connect('button_release_event',self.onLeftUp)
144
145
146	self.leftdown=False
147	self.leftup=False
148	self.mousemotion=False
149
150	self.axes = [self.subplot]
151
152	# Interactor
153	self.connect = BindArtist(self.subplot.figure)
154	#self.selected_plottable = None
155
156	# new data for the fit
157	self.fit_result = Theory1D(x=[], y=[], dy=None)
158	#self.fit_result = Data1D(x=[], y=[],dx=None, dy=None)
159	self.fit_result.name = "Fit"
160	# For fit Dialog initial display
161	self.xmin=0.0
162	self.xmax=0.0
163	self.xminView=0.0
164	self.xmaxView=0.0
165	self.Avalue=None
166	self.Bvalue=None
167	self.ErrAvalue=None
168	self.ErrBvalue=None
169	self.Chivalue=None
170
171	# Dragging info
172	self.begDrag=False
173	self.xInit=None
174	self.yInit=None
175	self.xFinal=None
176	self.yFinal=None
177
178	# Default locations
179	self._default_save_location = os.getcwd()
180
181
182	def onLeftDown(self,event):
183	""" left button down and ready to drag"""
184	self.leftdown=True
185	ax = event.inaxes
186	if ax != None:
187	self.xInit,self.yInit=event.xdata,event.ydata
188
189
190	def onLeftUp(self,event):
191	""" Dragging is done """
192	self.leftdown=False
193	self.mousemotion=False
194	self.leftup=True
195
196	def onMouseMotion(self,event):
197	"""
198	check if the left button is press and the mouse in moving.
199	computer delta for x and y coordinates and then calls draghelper
200	to perform the drag
201	"""
202	self.mousemotion=True
203	if self.leftdown==True and self.mousemotion==True:
204
205	ax = event.inaxes
206	if ax !=None:#the dragging is perform inside the figure
207	self.xFinal,self.yFinal=event.xdata,event.ydata
208
209	# Check whether this is the first point
210	if self.xInit==None:
211	self.xInit = self.xFinal
212	self.yInit = self.yFinal
213
214	xdelta = self.xFinal -self.xInit
215	ydelta = self.yFinal -self.yInit
216
217	if self.xscale=='log':
218	xdelta = math.log10(self.xFinal) -math.log10(self.xInit)
219	if self.yscale=='log':
220	ydelta = math.log10(self.yFinal) -math.log10(self.yInit)
221	self.dragHelper(xdelta,ydelta)
222
223	else:# no dragging is perform elsewhere
224	self.dragHelper(0,0)
225
226	def dragHelper(self,xdelta,ydelta):
227	""" dragging occurs here"""
228
229	# Event occurred inside a plotting area
230	for ax in self.axes:
231	lo,hi= ax.get_xlim()
232	#print "x lo %f and x hi %f"%(lo,hi)
233	newlo,newhi= lo- xdelta, hi- xdelta
234	if self.xscale=='log':
235	if lo > 0:
236	newlo= math.log10(lo)-xdelta
237	if hi > 0:
238	newhi= math.log10(hi)-xdelta
239	if self.xscale=='log':
240	ax.set_xlim(math.pow(10,newlo),math.pow(10,newhi))
241	else:
242	ax.set_xlim(newlo,newhi)
243	#print "new lo %f and new hi %f"%(newlo,newhi)
244
245	lo,hi= ax.get_ylim()
246	#print "y lo %f and y hi %f"%(lo,hi)
247	newlo,newhi= lo- ydelta, hi- ydelta
248	if self.yscale=='log':
249	if lo > 0:
250	newlo= math.log10(lo)-ydelta
251	if hi > 0:
252	newhi= math.log10(hi)-ydelta
253	#print "new lo %f and new hi %f"%(newlo,newhi)
254	if self.yscale=='log':
255	ax.set_ylim(math.pow(10,newlo),math.pow(10,newhi))
256	else:
257	ax.set_ylim(newlo,newhi)
258	self.canvas.draw_idle()
259
260
261
262	def resetFitView(self):
263	"""
264	For fit Dialog initial display
265	"""
266	self.xmin=0.0
267	self.xmax=0.0
268	self.xminView=0.0
269	self.xmaxView=0.0
270	self.Avalue=None
271	self.Bvalue=None
272	self.ErrAvalue=None
273	self.ErrBvalue=None
274	self.Chivalue=None
275
276	def onWheel(self, event):
277	"""
278	Process mouse wheel as zoom events
279	@param event: Wheel event
280	"""
281	ax = event.inaxes
282	step = event.step
283
284	if ax != None:
285	# Event occurred inside a plotting area
286	lo,hi = ax.get_xlim()
287	lo,hi = _rescale(lo,hi,step,pt=event.xdata,scale=ax.get_xscale())
288	if not self.xscale=='log' or lo>0:
289	ax.set_xlim((lo,hi))
290
291	lo,hi = ax.get_ylim()
292	lo,hi = _rescale(lo,hi,step,pt=event.ydata,scale=ax.get_yscale())
293	if not self.yscale=='log' or lo>0:
294	ax.set_ylim((lo,hi))
295	else:
296	# Check if zoom happens in the axes
297	xdata,ydata = None,None
298	x,y = event.x,event.y
299
300	for ax in self.axes:
301	insidex,_ = ax.xaxis.contains(event)
302	if insidex:
303	xdata,_ = ax.transAxes.inverse_xy_tup((x,y))
304	insidey,_ = ax.yaxis.contains(event)
305	if insidey:
306	_,ydata = ax.transAxes.inverse_xy_tup((x,y))
307	if xdata is not None:
308	lo,hi = ax.get_xlim()
309	lo,hi = _rescale(lo,hi,step,bal=xdata,scale=ax.get_xscale())
310	if not self.xscale=='log' or lo>0:
311	ax.set_xlim((lo,hi))
312	if ydata is not None:
313	lo,hi = ax.get_ylim()
314	lo,hi = _rescale(lo,hi,step,bal=ydata,scale=ax.get_yscale())
315	if not self.yscale=='log' or lo>0:
316	ax.set_ylim((lo,hi))
317
318	self.canvas.draw_idle()
319
320
321	def returnTrans(self):
322	"""
323	Return values and labels used by Fit Dialog
324	"""
325	return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\
326	self.ErrAvalue,self.ErrBvalue,self.Chivalue
327
328	def setTrans(self,xtrans,ytrans):
329	"""
330	@param xtrans: set x transformation on Property dialog
331	@param ytrans: set y transformation on Property dialog
332	"""
333	self.prevXtrans =xtrans
334	self.prevYtrans =ytrans
335
336	def onFitting(self, event):
337	"""
338	when clicking on linear Fit on context menu , display Fitting Dialog
339	"""
340	list =[]
341	list = self.graph.returnPlottable()
342	from fitDialog import LinearFit
343
344	if len(list.keys())>0:
345	first_item = list.keys()[0]
346	dlg = LinearFit( None, first_item, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit')
347
348	if (self.xmin !=0.0 )and ( self.xmax !=0.0)\
349	and(self.xminView !=0.0 )and ( self.xmaxView !=0.0):
350	dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax)
351	dlg.ShowModal()
352
353	def linear_plottable_fit(self, plot):
354	"""
355	when clicking on linear Fit on context menu , display Fitting Dialog
356	"""
357	from fitDialog import LinearFit
358
359	dlg = LinearFit( None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit')
360
361	if (self.xmin !=0.0 )and ( self.xmax !=0.0)\
362	and(self.xminView !=0.0 )and ( self.xmaxView !=0.0):
363	dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax)
364	dlg.ShowModal()
365
366	def _onProperties(self, event):
367	"""
368	when clicking on Properties on context menu ,The Property dialog is displayed
369	The user selects a transformation for x or y value and a new plot is displayed
370	"""
371	list =[]
372	list = self.graph.returnPlottable()
373	if len(list.keys())>0:
374	first_item = list.keys()[0]
375	if first_item.x !=[]:
376	from PropertyDialog import Properties
377	dial = Properties(self, -1, 'Properties')
378	dial.setValues( self.prevXtrans, self.prevYtrans,self.viewModel )
379	if dial.ShowModal() == wx.ID_OK:
380	self.xLabel, self.yLabel,self.viewModel = dial.getValues()
381	if self.viewModel =="Guinier lny vs x^(2)":
382	self.xLabel="x^(2)"
383	self.yLabel="ln(y)"
384	self.viewModel = "--"
385	dial.setValues( self.xLabel, self.yLabel,self.viewModel )
386	self._onEVT_FUNC_PROPERTY()
387	dial.Destroy()
388
389
390	def set_yscale(self, scale='linear'):
391	"""
392	Set the scale on Y-axis
393	@param scale: the scale of y-axis
394	"""
395	self.subplot.set_yscale(scale)
396	self.yscale = scale
397
398	def get_yscale(self):
399	"""
400	@return: Y-axis scale
401	"""
402	return self.yscale
403
404	def set_xscale(self, scale='linear'):
405	"""
406	Set the scale on x-axis
407	@param scale: the scale of x-axis
408	"""
409	self.subplot.set_xscale(scale)
410	self.xscale = scale
411
412	def get_xscale(self):
413	"""
414	@return: x-axis scale
415	"""
416	return self.xscale
417
418	def SetColor(self, rgbtuple):
419	"""Set figure and canvas colours to be the same"""
420	if not rgbtuple:
421	rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()
422	col = [c/255.0 for c in rgbtuple]
423	self.figure.set_facecolor(col)
424	self.figure.set_edgecolor(col)
425	self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple))
426
427	def _onSize(self, event):
428	self._resizeflag = True
429
430	def _onIdle(self, evt):
431	if self._resizeflag:
432	self._resizeflag = False
433	self._SetSize()
434	self.draw()
435
436	def _SetSize(self, pixels = None):
437	"""
438	This method can be called to force the Plot to be a desired size, which defaults to
439	the ClientSize of the panel
440	"""
441	if not pixels:
442	pixels = self.GetClientSize()
443	self.canvas.SetSize(pixels)
444	self.figure.set_size_inches(pixels[0]/self.figure.get_dpi(),
445	pixels[1]/self.figure.get_dpi())
446
447	def draw(self):
448	"""Where the actual drawing happens"""
449	self.figure.canvas.draw_idle()
450
451
452	def onSaveImage(self, evt):
453	#figure.savefig
454	#print "Save image not implemented"
455	path = None
456	dlg = wx.FileDialog(self, "Choose a file", self._default_save_location, "", "*.png", wx.SAVE)
457	if dlg.ShowModal() == wx.ID_OK:
458	path = dlg.GetPath()
459	self._default_save_location = os.path.dirname(path)
460	dlg.Destroy()
461	if not path == None:
462	self.subplot.figure.savefig(path,dpi=300, facecolor='w', edgecolor='w',
463	orentation='portrait', papertype=None, format='png')
464
465	def onContextMenu(self, event):
466	"""
467	Default context menu for a plot panel
468	"""
469	# Slicer plot popup menu
470	id = wx.NewId()
471	slicerpop = wx.Menu()
472	slicerpop.Append(id,'&Save image', 'Save image as PNG')
473	wx.EVT_MENU(self, id, self.onSaveImage)
474
475	#id = wx.NewId()
476	#slicerpop.Append(id, '&Load 1D data file')
477	#wx.EVT_MENU(self, id, self._onLoad1DData)
478
479	id = wx.NewId()
480	slicerpop.AppendSeparator()
481	slicerpop.Append(id, '&Properties')
482	wx.EVT_MENU(self, id, self._onProperties)
483
484	id = wx.NewId()
485	slicerpop.AppendSeparator()
486	slicerpop.Append(id, '&Linear Fit')
487	wx.EVT_MENU(self, id, self.onFitting)
488
489	id = wx.NewId()
490	slicerpop.AppendSeparator()
491	slicerpop.Append(id, '&Reset Graph')
492	wx.EVT_MENU(self, id, self.onResetGraph)
493
494	pos = event.GetPosition()
495	pos = self.ScreenToClient(pos)
496	self.PopupMenu(slicerpop, pos)
497
498	## The following is plottable functionality
499
500
501	def properties(self,prop):
502	"""Set some properties of the graph.
503
504	The set of properties is not yet determined.
505	"""
506	# The particulars of how they are stored and manipulated (e.g., do
507	# we want an inventory internally) is not settled. I've used a
508	# property dictionary for now.
509	#
510	# How these properties interact with a user defined style file is
511	# even less clear.
512
513	# Properties defined by plot
514	self.subplot.set_xlabel(r"$%s$" % prop["xlabel"])
515	self.subplot.set_ylabel(r"$%s$" % prop["ylabel"])
516	self.subplot.set_title(prop["title"])
517
518	# Properties defined by user
519	#self.axes.grid(True)
520
521	def clear(self):
522	"""Reset the plot"""
523
524	# TODO: Redraw is brutal. Render to a backing store and swap in
525	# TODO: rather than redrawing on the fly.
526	self.subplot.clear()
527	self.subplot.hold(True)
528
529	def render(self):
530	"""Commit the plot after all objects are drawn"""
531	# TODO: this is when the backing store should be swapped in.
532	from matplotlib.font_manager import FontProperties
533	self.subplot.legend(prop=FontProperties(size=10))
534	#self.subplot.legend()
535	pass
536
537	def xaxis(self,label,units):
538	"""xaxis label and units.
539
540	Axis labels know about units.
541
542	We need to do this so that we can detect when axes are not
543	commesurate. Currently this is ignored other than for formatting
544	purposes.
545	"""
546	if units != "": label = label + " (" + units + ")"
547	self.subplot.set_xlabel(label)
548	pass
549
550	def yaxis(self,label,units):
551	"""yaxis label and units."""
552	if units != "": label = label + " (" + units + ")"
553	self.subplot.set_ylabel(label)
554	pass
555
556	def _connect_to_xlim(self,callback):
557	"""Bind the xlim change notification to the callback"""
558	def process_xlim(axes):
559	lo,hi = subplot.get_xlim()
560	callback(lo,hi)
561	self.subplot.callbacks.connect('xlim_changed',process_xlim)
562
563	#def connect(self,trigger,callback):
564	# print "PlotPanel.connect???"
565	# if trigger == 'xlim': self._connect_to_xlim(callback)
566
567	def interactive_points(self,x,y,dx=None,dy=None,name='', color=0,symbol=0,label=None):
568	"""Draw markers with error bars"""
569	self.subplot.set_yscale('linear')
570	self.subplot.set_xscale('linear')
571
572	from plottable_interactor import PointInteractor
573	p = PointInteractor(self, self.subplot, zorder=3, id=name)
574	p.points(x, y, dx, dy, color, symbol, label)
575
576	self.subplot.set_yscale(self.yscale)
577	self.subplot.set_xscale(self.xscale)
578
579	def interactive_curve(self,x,y,dy=None,name='',color=0,symbol=0,label=None):
580	"""Draw markers with error bars"""
581	self.subplot.set_yscale('linear')
582	self.subplot.set_xscale('linear')
583
584	from plottable_interactor import PointInteractor
585	p = PointInteractor(self, self.subplot, zorder=4, id=name)
586	p.curve(x, y, dy, color, symbol, label)
587
588	self.subplot.set_yscale(self.yscale)
589	self.subplot.set_xscale(self.xscale)
590
591	def plottable_selected(self, id):
592	"""
593	Called to register a plottable as selected
594	"""
595	#TODO: check that it really is in the list of plottables
596	self.graph.selected_plottable = id
597
598	def points(self,x,y,dx=None,dy=None,color=0,symbol=0,label=None):
599	"""Draw markers with error bars"""
600	self.subplot.set_yscale('linear')
601	self.subplot.set_xscale('linear')
602
603	# Convert tuple (lo,hi) to array [(x-lo),(hi-x)]
604	if dx != None and type(dx) == type(()):
605	dx = nx.vstack((x-dx[0],dx[1]-x)).transpose()
606	if dy != None and type(dy) == type(()):
607	dy = nx.vstack((y-dy[0],dy[1]-y)).transpose()
608
609	if dx==None and dy==None:
610	h = self.subplot.plot(x,y,color=self._color(color),
611	marker=self._symbol(symbol),linestyle='',label=label)
612	else:
613	col = self._color(color)
614	self.subplot.errorbar(x, y, yerr=dy, xerr=None,
615	ecolor=col, capsize=2,linestyle='', barsabove=False,
616	mec=col, mfc=col,
617	marker=self._symbol(symbol),
618	lolims=False, uplims=False,
619	xlolims=False, xuplims=False,label=label)
620
621	self.subplot.set_yscale(self.yscale)
622	self.subplot.set_xscale(self.xscale)
623
624	def curve(self,x,y,dy=None,color=0,symbol=0,label=None):
625	"""Draw a line on a graph, possibly with confidence intervals."""
626	c = self._color(color)
627	self.subplot.set_yscale('linear')
628	self.subplot.set_xscale('linear')
629
630	hlist = self.subplot.plot(x,y,color=c,marker='',linestyle='-',label=label)
631
632	self.subplot.set_yscale(self.yscale)
633	self.subplot.set_xscale(self.xscale)
634
635	def _color(self,c):
636	"""Return a particular colour"""
637	return self.colorlist[c%len(self.colorlist)]
638
639	def _symbol(self,s):
640	"""Return a particular symbol"""
641	return self.symbollist[s%len(self.symbollist)]
642
643	def _replot(self):
644	"""
645	Rescale the plottables according to the latest
646	user selection and update the plot
647	"""
648	self.graph.reset_scale()
649	self._onEVT_FUNC_PROPERTY(remove_fit=False)
650
651	#TODO: Why do we have to have the following line?
652	self.fit_result.reset_view()
653
654	self.graph.render(self)
655	self.subplot.figure.canvas.draw_idle()
656
657	def _onEVT_FUNC_PROPERTY(self, remove_fit=True):
658	"""
659	Receive the x and y transformation from myDialog,Transforms x and y in View
660	and set the scale
661	"""
662	list =[]
663	list = self.graph.returnPlottable()
664
665	if remove_fit:
666	self.fit_result.x =[]
667	self.fit_result.y =[]
668	self.fit_result.dx=None
669	self.fit_result.dy=None
670	self.graph.delete(self.fit_result)
671
672	for item in list:
673	item.setLabel(self.xLabel,self.yLabel)
674	if ( self.xLabel=="x" ):
675	item.transformX(transform.toX,transform.errToX)
676	self.set_xscale("linear")
677	name, units = item.get_xaxis()
678	self.graph.xaxis("%s" % name, "%s" % units)
679
680
681	if ( self.xLabel=="x^(2)" ):
682	item.transformX(transform.toX2,transform.errToX2)
683	self.set_xscale('linear')
684	name, units = item.get_xaxis()
685	units=convertUnit(2,units)
686	self.graph.xaxis("%s^{2}" % name, "%s" % units)
687
688
689	if (self.xLabel=="log10(x)" ):
690	item.transformX(transform.toX_pos,transform.errToX_pos)
691	self.set_xscale("log")
692	name, units = item.get_xaxis()
693	self.graph.xaxis("\log_{10}\ \ (%s)" % name, "%s" % units)
694
695
696	if ( self.yLabel=="ln(y)" ):
697	item.transformY(transform.toLogX,transform.errToLogX)
698	self.set_yscale("linear")
699	name, units = item.get_yaxis()
700	self.graph.yaxis("\log\ \ %s" % name, "%s" % units)
701
702
703	if ( self.yLabel=="y" ):
704	item.transformY(transform.toX,transform.errToX)
705	self.set_yscale("linear")
706	name, units = item.get_yaxis()
707	self.graph.yaxis("%s" % name, "%s" % units)
708
709
710	if ( self.yLabel=="log10(y)" ):
711	item.transformY(transform.toX_pos,transform.errToX_pos)
712	self.set_yscale("log")
713	name, units = item.get_yaxis()
714	self.graph.yaxis("\log_{10}\ \ (%s)" % name, "%s" % units)
715
716
717	if ( self.yLabel=="y^(2)" ):
718	item.transformY( transform.toX2,transform.errToX2 )
719	self.set_yscale("linear")
720	name, units = item.get_yaxis()
721	units=convertUnit(2,units)
722	self.graph.yaxis("%s^{2}" % name, "%s" % units)
723
724
725	if ( self.yLabel =="1/y"):
726	item.transformY(transform.toOneOverX,transform.errOneOverX )
727	self.set_yscale("linear")
728	name, units = item.get_yaxis()
729	units=convertUnit(-1,units)
730	self.graph.yaxis("1/%s" % name, "%s" % units)
731
732	if ( self.yLabel =="1/sqrt(y)" ):
733	item.transformY(transform.toOneOverSqrtX,transform.errOneOverSqrtX )
734	self.set_yscale("linear")
735	name, units = item.get_yaxis()
736	units=convertUnit(-0.5,units)
737	self.graph.yaxis("1/\sqrt{%s}" %name, "%s" % units)
738
739	if ( self.yLabel =="ln(y*x)"):
740	item.transformY( transform.toLogXY,transform.errToLogXY)
741	self.set_yscale("linear")
742	yname, yunits = item.get_yaxis()
743	xname, xunits = item.get_xaxis()
744	self.graph.yaxis("\log\ (%s \ \ %s)" % (yname,xname), "%s%s" % (yunits,xunits))
745
746
747	if ( self.yLabel =="ln(y*x^(2))"):
748	item.transformY( transform.toLogYX2,transform.errToLogYX2)
749	self.set_yscale("linear")
750	yname, yunits = item.get_yaxis()
751	xname, xunits = item.get_xaxis()
752	xunits = convertUnit(2,xunits)
753	self.graph.yaxis("\log (%s \ \ %s^{2})" % (yname,xname), "%s%s" % (yunits,xunits))
754
755
756	if ( self.yLabel =="ln(y*x^(4))"):
757	item.transformY(transform.toLogYX4,transform.errToLogYX4)
758	self.set_yscale("linear")
759	yname, yunits = item.get_yaxis()
760	xname, xunits = item.get_xaxis()
761	xunits = convertUnit(4,xunits)
762	self.graph.yaxis("\log (%s \ \ %s^{4})" % (yname,xname), "%s%s" % (yunits,xunits))
763
764	if ( self.viewModel == "Guinier lny vs x^(2)"):
765
766	item.transformX(transform.toX2,transform.errToX2)
767	self.set_xscale('linear')
768	name, units = item.get_xaxis()
769	units = convertUnit(2,units)
770	self.graph.xaxis("%s^{2}" % name, "%s" % units)
771
772
773	item.transformY(transform.toLogX,transform.errToLogX )
774	self.set_yscale("linear")
775	name, units = item.get_yaxis()
776	self.graph.yaxis("\log\ \ %s" % name, "%s" % units)
777
778
779	item.transformView()
780
781
782	self.resetFitView()
783	self.prevXtrans = self.xLabel
784	self.prevYtrans = self.yLabel
785	self.graph.render(self)
786	self.subplot.figure.canvas.draw_idle()
787
788
789
790	def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func):
791	"""
792	Add a new plottable into the graph .In this case this plottable will be used
793	to fit some data
794	@param tempx: The x data of fit line
795	@param tempy: The y data of fit line
796	@param xminView: the lower bound of fitting range
797	@param xminView: the upper bound of fitting range
798	@param xmin: the lowest value of data to fit to the line
799	@param xmax: the highest value of data to fit to the line
800	"""
801	# Saving value to redisplay in Fit Dialog when it is opened again
802	self.Avalue,self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue=func
803	self.xminView=xminView
804	self.xmaxView=xmaxView
805	self.xmin= xmin
806	self.xmax= xmax
807	#In case need to change the range of data plotted
808	list =[]
809	list = self.graph.returnPlottable()
810	for item in list:
811	#item.onFitRange(xminView,xmaxView)
812	item.onFitRange(None,None)
813
814	# Create new data plottable with result
815	self.fit_result.x =[]
816	self.fit_result.y =[]
817	self.fit_result.x =tempx
818	self.fit_result.y =tempy
819	self.fit_result.dx=None
820	self.fit_result.dy=None
821	#Load the view with the new values
822	self.fit_result.reset_view()
823	# Add the new plottable to the graph
824	self.graph.add(self.fit_result)
825	self.graph.render(self)
826	self.subplot.figure.canvas.draw_idle()
827
828
829	def onResetGraph(self,event):
830	"""
831	Reset the graph by plotting the full range of data
832	"""
833	list =[]
834	list = self.graph.returnPlottable()
835	for item in list:
836	item.onReset()
837	self.graph.render(self)
838	self.subplot.figure.canvas.draw_idle()
839
840	class NoRepaintCanvas(FigureCanvasWxAgg):
841	"""We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that
842	the draw method is only called for the first two paint events. After that,
843	the canvas will only be redrawn when it is resized.
844	"""
845	def __init__(self, args, *kwargs):
846	FigureCanvasWxAgg.__init__(self, args, *kwargs)
847	self._drawn = 0
848
849	def _onPaint(self, evt):
850	"""
851	Called when wxPaintEvt is generated
852	"""
853	if not self._isRealized:
854	self.realize()
855	if self._drawn < 2:
856	self.draw(repaint = False)
857	self._drawn += 1
858	self.gui_repaint(drawDC=wx.PaintDC(self))
859

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SasView

source: sasview/guitools/PlotPanel.py @ 1d02586

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