PlotPanel.py @ 7116b6e0

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 7116b6e0 was 3755d77, checked in by Mathieu Doucet <doucetm@…>, 16 years ago
fixed bug with transforms
Property mode set to `100644`
File size: 33.3 KB

Line
1	import wx.lib.newevent
2	try:
3	import matplotlib
4	except:
5	import pkg_resources
6	pkg_resources.require("matplotlib<0.92.0")
7	import matplotlib
8
9	matplotlib.interactive(False)
10	#Use the WxAgg back end. The Wx one takes too long to render
11	matplotlib.use('WXAgg')
12	from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
13	from matplotlib.figure import Figure
14	import os
15	import fittings
16	import transform
17	from canvas import FigureCanvas
18	from matplotlib.widgets import RectangleSelector
19	from pylab import gca, gcf
20	from plottables import Theory1D
21	#TODO: make the plottables interactive
22	from binder import BindArtist
23
24	DEBUG = False
25
26	from plottables import Graph
27	#(FuncFitEvent, EVT_FUNC_FIT) = wx.lib.newevent.NewEvent()
28	import math,pylab,re
29
30	def show_tree(obj,d=0):
31	"""Handy function for displaying a tree of graph objects"""
32	print "%s%s" % ("-"*d,obj.__class__.__name__)
33	if 'get_children' in dir(obj):
34	for a in obj.get_children(): show_tree(a,d+1)
35
36	from unitConverter import UnitConvertion as convertUnit
37	def _convertUnit(pow,unit):
38	"""
39	Displays the unit with the proper convertion
40	@param pow: the user set the power of the unit
41	@param unit: the unit of the data
42	"""
43	return unit
44	toks=re.match("^", unit)
45	if not toks==None:
46	unitValue= re.split("{",unit)
47	unitPower= re.split("}",unitValue[1])
48	power= int(unitPower[0])*pow
49	word= unitValue[0]+"{"+str(power)+"}"
50	if power==1:
51	tempUnit=re.split("\^",unitValue[0])
52	unit=tempUnit[0]
53	else:
54	unit = word
55	#print"this is unit",unit
56	return unit
57	def _rescale(lo,hi,step,pt=None,bal=None,scale='linear'):
58	"""
59	Rescale (lo,hi) by step, returning the new (lo,hi)
60	The scaling is centered on pt, with positive values of step
61	driving lo/hi away from pt and negative values pulling them in.
62	If bal is given instead of point, it is already in [0,1] coordinates.
63
64	This is a helper function for step-based zooming.
65	"""
66	# Convert values into the correct scale for a linear transformation
67	# TODO: use proper scale transformers
68	loprev = lo
69	hiprev = hi
70	ptprev = pt
71	if scale=='log':
72	assert lo >0
73	if lo > 0 :
74	lo = math.log10(lo)
75	if hi > 0 :
76	hi = math.log10(hi)
77	if pt is not None: pt = math.log10(pt)
78
79	# Compute delta from axis range * %, or 1-% if persent is negative
80	if step > 0:
81	delta = float(hi-lo)*step/100
82	else:
83	delta = float(hi-lo)*step/(100-step)
84
85	# Add scale factor proportionally to the lo and hi values, preserving the
86	# point under the mouse
87	if bal is None:
88	bal = float(pt-lo)/(hi-lo)
89	lo = lo - bal*delta
90	hi = hi + (1-bal)*delta
91
92	# Convert transformed values back to the original scale
93	if scale=='log':
94	if (lo <= -250) or (hi >= 250):
95	lo=loprev
96	hi=hiprev
97	else:
98	lo,hi = math.pow(10.,lo),math.pow(10.,hi)
99	return (lo,hi)
100
101
102	class PlotPanel(wx.Panel):
103	"""
104	The PlotPanel has a Figure and a Canvas. OnSize events simply set a
105	flag, and the actually redrawing of the
106	figure is triggered by an Idle event.
107	"""
108	def __init__(self, parent, id = -1, color = None,\
109	dpi = None, **kwargs):
110	wx.Panel.__init__(self, parent, id = id, **kwargs)
111	self.parent = parent
112	self.figure = Figure(None, dpi)
113	#self.figure = pylab.Figure(None, dpi)
114	#self.canvas = NoRepaintCanvas(self, -1, self.figure)
115	self.canvas = FigureCanvas(self, -1, self.figure)
116	self.SetColor(color)
117	#self.Bind(wx.EVT_IDLE, self._onIdle)
118	#self.Bind(wx.EVT_SIZE, self._onSize)
119	self._resizeflag = True
120	self._SetSize()
121	self.subplot = self.figure.add_subplot(111)
122	self.figure.subplots_adjust(left=.2, bottom=.2)
123	self.yscale = 'linear'
124	self.xscale = 'linear'
125	sizer = wx.BoxSizer(wx.VERTICAL)
126	sizer.Add(self.canvas,1,wx.EXPAND)
127	self.SetSizer(sizer)
128
129	# Graph object to manage the plottables
130	self.graph = Graph()
131	#self.Bind(EVT_FUNC_FIT, self.onFitRange)
132	self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu)
133
134	#self.Bind(EVT_PROPERTY, self._onEVT_FUNC_PROPERTY)
135	# Define some constants
136	self.colorlist = ['b','g','r','c','m','y']
137	self.symbollist = ['o','x','^','v','<','>','+','s','d','D','h','H','p']
138	#User scale
139	self.xLabel ="x"
140	self.yLabel ="y"
141	self.viewModel ="--"
142	# keep track if the previous transformation of x and y in Property dialog
143	self.prevXtrans ="x"
144	self.prevYtrans ="y"
145	self.canvas.mpl_connect('scroll_event',self.onWheel)
146	#taking care of dragging
147	self.canvas.mpl_connect('motion_notify_event',self.onMouseMotion)
148	self.canvas.mpl_connect('button_press_event',self.onLeftDown)
149	self.canvas.mpl_connect('button_release_event',self.onLeftUp)
150
151
152	self.leftdown=False
153	self.leftup=False
154	self.mousemotion=False
155
156	self.axes = [self.subplot]
157
158	## Fit dialog
159	self._fit_dialog = None
160
161	# Interactor
162	self.connect = BindArtist(self.subplot.figure)
163	#self.selected_plottable = None
164
165	# new data for the fit
166	self.fit_result = Theory1D(x=[], y=[], dy=None)
167	#self.fit_result = Data1D(x=[], y=[],dx=None, dy=None)
168	self.fit_result.name = "Fit"
169	# For fit Dialog initial display
170	self.xmin=0.0
171	self.xmax=0.0
172	self.xminView=0.0
173	self.xmaxView=0.0
174	self._scale_xlo = None
175	self._scale_xhi = None
176	self._scale_ylo = None
177	self._scale_yhi = None
178	self.Avalue=None
179	self.Bvalue=None
180	self.ErrAvalue=None
181	self.ErrBvalue=None
182	self.Chivalue=None
183
184	# Dragging info
185	self.begDrag=False
186	self.xInit=None
187	self.yInit=None
188	self.xFinal=None
189	self.yFinal=None
190
191	# Default locations
192	self._default_save_location = os.getcwd()
193
194
195	def onLeftDown(self,event):
196	""" left button down and ready to drag"""
197	# Check that the LEFT button was pressed
198	if event.button == 1:
199	self.leftdown=True
200	ax = event.inaxes
201	if ax != None:
202	self.xInit,self.yInit=event.xdata,event.ydata
203
204
205	def onLeftUp(self,event):
206	""" Dragging is done """
207	# Check that the LEFT button was released
208	if event.button == 1:
209	self.leftdown=False
210	self.mousemotion=False
211	self.leftup=True
212
213	def onMouseMotion(self,event):
214	"""
215	check if the left button is press and the mouse in moving.
216	computer delta for x and y coordinates and then calls draghelper
217	to perform the drag
218	"""
219	self.mousemotion=True
220	if self.leftdown==True and self.mousemotion==True:
221
222	ax = event.inaxes
223	if ax !=None:#the dragging is perform inside the figure
224	self.xFinal,self.yFinal=event.xdata,event.ydata
225
226	# Check whether this is the first point
227	if self.xInit==None:
228	self.xInit = self.xFinal
229	self.yInit = self.yFinal
230
231	xdelta = self.xFinal -self.xInit
232	ydelta = self.yFinal -self.yInit
233
234	if self.xscale=='log':
235	xdelta = math.log10(self.xFinal) -math.log10(self.xInit)
236	if self.yscale=='log':
237	ydelta = math.log10(self.yFinal) -math.log10(self.yInit)
238	self.dragHelper(xdelta,ydelta)
239
240	else:# no dragging is perform elsewhere
241	self.dragHelper(0,0)
242
243	def _offset_graph(self):
244	"""
245	Zoom and offset the graph to the last known
246	settings
247	"""
248
249	for ax in self.axes:
250	if self._scale_xhi is not None and self._scale_xlo is not None:
251	ax.set_xlim(self._scale_xlo, self._scale_xhi)
252	if self._scale_yhi is not None and self._scale_ylo is not None:
253	ax.set_ylim(self._scale_ylo, self._scale_yhi)
254
255
256	def dragHelper(self,xdelta,ydelta):
257	""" dragging occurs here"""
258
259	# Event occurred inside a plotting area
260	for ax in self.axes:
261	lo,hi= ax.get_xlim()
262	#print "x lo %f and x hi %f"%(lo,hi)
263	newlo,newhi= lo- xdelta, hi- xdelta
264	if self.xscale=='log':
265	if lo > 0:
266	newlo= math.log10(lo)-xdelta
267	if hi > 0:
268	newhi= math.log10(hi)-xdelta
269	if self.xscale=='log':
270	self._scale_xlo = math.pow(10,newlo)
271	self._scale_xhi = math.pow(10,newhi)
272	ax.set_xlim(math.pow(10,newlo),math.pow(10,newhi))
273	else:
274	self._scale_xlo = newlo
275	self._scale_xhi = newhi
276	ax.set_xlim(newlo,newhi)
277	#print "new lo %f and new hi %f"%(newlo,newhi)
278
279	lo,hi= ax.get_ylim()
280	#print "y lo %f and y hi %f"%(lo,hi)
281	newlo,newhi= lo- ydelta, hi- ydelta
282	if self.yscale=='log':
283	if lo > 0:
284	newlo= math.log10(lo)-ydelta
285	if hi > 0:
286	newhi= math.log10(hi)-ydelta
287	#print "new lo %f and new hi %f"%(newlo,newhi)
288	if self.yscale=='log':
289	self._scale_ylo = math.pow(10,newlo)
290	self._scale_yhi = math.pow(10,newhi)
291	ax.set_ylim(math.pow(10,newlo),math.pow(10,newhi))
292	else:
293	self._scale_ylo = newlo
294	self._scale_yhi = newhi
295	ax.set_ylim(newlo,newhi)
296	self.canvas.draw_idle()
297
298
299
300	def resetFitView(self):
301	"""
302	For fit Dialog initial display
303	"""
304	self.xmin=0.0
305	self.xmax=0.0
306	self.xminView=0.0
307	self.xmaxView=0.0
308	self._scale_xlo = None
309	self._scale_xhi = None
310	self._scale_ylo = None
311	self._scale_yhi = None
312	self.Avalue=None
313	self.Bvalue=None
314	self.ErrAvalue=None
315	self.ErrBvalue=None
316	self.Chivalue=None
317
318	def onWheel(self, event):
319	"""
320	Process mouse wheel as zoom events
321	@param event: Wheel event
322	"""
323	ax = event.inaxes
324	step = event.step
325
326	if ax != None:
327	# Event occurred inside a plotting area
328	lo,hi = ax.get_xlim()
329	lo,hi = _rescale(lo,hi,step,pt=event.xdata,scale=ax.get_xscale())
330	if not self.xscale=='log' or lo>0:
331	self._scale_xlo = lo
332	self._scale_xhi = hi
333	ax.set_xlim((lo,hi))
334
335	lo,hi = ax.get_ylim()
336	lo,hi = _rescale(lo,hi,step,pt=event.ydata,scale=ax.get_yscale())
337	if not self.yscale=='log' or lo>0:
338	self._scale_ylo = lo
339	self._scale_yhi = hi
340	ax.set_ylim((lo,hi))
341	else:
342	# Check if zoom happens in the axes
343	xdata,ydata = None,None
344	x,y = event.x,event.y
345
346	for ax in self.axes:
347	insidex,_ = ax.xaxis.contains(event)
348	if insidex:
349	xdata,_ = ax.transAxes.inverse_xy_tup((x,y))
350	insidey,_ = ax.yaxis.contains(event)
351	if insidey:
352	_,ydata = ax.transAxes.inverse_xy_tup((x,y))
353	if xdata is not None:
354	lo,hi = ax.get_xlim()
355	lo,hi = _rescale(lo,hi,step,bal=xdata,scale=ax.get_xscale())
356	if not self.xscale=='log' or lo>0:
357	self._scale_xlo = lo
358	self._scale_xhi = hi
359	ax.set_xlim((lo,hi))
360	if ydata is not None:
361	lo,hi = ax.get_ylim()
362	lo,hi = _rescale(lo,hi,step,bal=ydata,scale=ax.get_yscale())
363	if not self.yscale=='log' or lo>0:
364	self._scale_ylo = lo
365	self._scale_yhi = hi
366	ax.set_ylim((lo,hi))
367
368	self.canvas.draw_idle()
369
370
371	def returnTrans(self):
372	"""
373	Return values and labels used by Fit Dialog
374	"""
375	return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\
376	self.ErrAvalue,self.ErrBvalue,self.Chivalue
377
378	def setTrans(self,xtrans,ytrans):
379	"""
380	@param xtrans: set x transformation on Property dialog
381	@param ytrans: set y transformation on Property dialog
382	"""
383	self.prevXtrans =xtrans
384	self.prevYtrans =ytrans
385
386	def onFitting(self, event):
387	"""
388	when clicking on linear Fit on context menu , display Fitting Dialog
389	"""
390	list = {}
391	plotlist = self.graph.returnPlottable()
392	if self.graph.selected_plottable is not None:
393	for item in plotlist:
394	if item.name==self.graph.selected_plottable:
395	list[item] = plotlist[item]
396	else:
397	list = plotlist
398	from fitDialog import LinearFit
399
400	if len(list.keys())>0:
401	first_item = list.keys()[0]
402	dlg = LinearFit( None, first_item, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit')
403
404	if (self.xmin !=0.0 )and ( self.xmax !=0.0)\
405	and(self.xminView !=0.0 )and ( self.xmaxView !=0.0):
406	dlg.setFitRange(self.xminView,self.xmaxView,self.xmin,self.xmax)
407	dlg.ShowModal()
408
409	def linear_plottable_fit(self, plot):
410	"""
411	when clicking on linear Fit on context menu , display Fitting Dialog
412	@param plot: PlotPanel owning the graph
413	"""
414	from fitDialog import LinearFit
415
416	if self._fit_dialog is not None:
417	return
418
419	self._fit_dialog = LinearFit( None, plot, self.onFitDisplay,self.returnTrans, -1, 'Linear Fit')
420
421	# Set the zoom area
422	if self._scale_xhi is not None and self._scale_xlo is not None:
423	self._fit_dialog.set_fit_region(self._scale_xlo, self._scale_xhi)
424
425	# Register the close event
426	self._fit_dialog.register_close(self._linear_fit_close)
427
428	# Show a non-model dialog
429	self._fit_dialog.Show()
430
431	def _linear_fit_close(self):
432	"""
433	A fit dialog was closed
434	"""
435	self._fit_dialog = None
436
437
438	def _onProperties(self, event):
439	"""
440	when clicking on Properties on context menu ,The Property dialog is displayed
441	The user selects a transformation for x or y value and a new plot is displayed
442	"""
443	if self._fit_dialog is not None:
444	self._fit_dialog.Destroy()
445	self._fit_dialog = None
446
447	list =[]
448	list = self.graph.returnPlottable()
449	if len(list.keys())>0:
450	first_item = list.keys()[0]
451	if first_item.x !=[]:
452	from PropertyDialog import Properties
453	dial = Properties(self, -1, 'Properties')
454	dial.setValues( self.prevXtrans, self.prevYtrans,self.viewModel )
455	if dial.ShowModal() == wx.ID_OK:
456	self.xLabel, self.yLabel,self.viewModel = dial.getValues()
457	if self.viewModel =="Guinier lny vs x^(2)":
458	self.xLabel="x^(2)"
459	self.yLabel="ln(y)"
460	self.viewModel = "--"
461	dial.setValues( self.xLabel, self.yLabel,self.viewModel )
462	self._onEVT_FUNC_PROPERTY()
463	dial.Destroy()
464
465
466	def set_yscale(self, scale='linear'):
467	"""
468	Set the scale on Y-axis
469	@param scale: the scale of y-axis
470	"""
471	self.subplot.set_yscale(scale)
472	self.yscale = scale
473
474	def get_yscale(self):
475	"""
476	@return: Y-axis scale
477	"""
478	return self.yscale
479
480	def set_xscale(self, scale='linear'):
481	"""
482	Set the scale on x-axis
483	@param scale: the scale of x-axis
484	"""
485	self.subplot.set_xscale(scale)
486	self.xscale = scale
487
488	def get_xscale(self):
489	"""
490	@return: x-axis scale
491	"""
492	return self.xscale
493
494	def SetColor(self, rgbtuple):
495	"""Set figure and canvas colours to be the same"""
496	if not rgbtuple:
497	rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()
498	col = [c/255.0 for c in rgbtuple]
499	self.figure.set_facecolor(col)
500	self.figure.set_edgecolor(col)
501	self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple))
502
503	def _onSize(self, event):
504	self._resizeflag = True
505
506	def _onIdle(self, evt):
507	if self._resizeflag:
508	self._resizeflag = False
509	self._SetSize()
510	self.draw()
511
512	def _SetSize(self, pixels = None):
513	"""
514	This method can be called to force the Plot to be a desired size, which defaults to
515	the ClientSize of the panel
516	"""
517	if not pixels:
518	pixels = self.GetClientSize()
519	self.canvas.SetSize(pixels)
520	self.figure.set_size_inches(pixels[0]/self.figure.get_dpi(),
521	pixels[1]/self.figure.get_dpi())
522
523	def draw(self):
524	"""Where the actual drawing happens"""
525	self.figure.canvas.draw_idle()
526
527
528	def onSaveImage(self, evt):
529	#figure.savefig
530	#print "Save image not implemented"
531	path = None
532	dlg = wx.FileDialog(self, "Choose a file", self._default_save_location, "", "*.png", wx.SAVE)
533	if dlg.ShowModal() == wx.ID_OK:
534	path = dlg.GetPath()
535	self._default_save_location = os.path.dirname(path)
536	dlg.Destroy()
537	if not path == None:
538	self.subplot.figure.savefig(path,dpi=300, facecolor='w', edgecolor='w',
539	orentation='portrait', papertype=None, format='png')
540
541	def onContextMenu(self, event):
542	"""
543	Default context menu for a plot panel
544	"""
545	# Slicer plot popup menu
546	id = wx.NewId()
547	slicerpop = wx.Menu()
548	slicerpop.Append(id,'&Save image', 'Save image as PNG')
549	wx.EVT_MENU(self, id, self.onSaveImage)
550
551	#id = wx.NewId()
552	#slicerpop.Append(id, '&Load 1D data file')
553	#wx.EVT_MENU(self, id, self._onLoad1DData)
554
555	id = wx.NewId()
556	slicerpop.AppendSeparator()
557	slicerpop.Append(id, '&Properties')
558	wx.EVT_MENU(self, id, self._onProperties)
559
560	id = wx.NewId()
561	slicerpop.AppendSeparator()
562	slicerpop.Append(id, '&Linear Fit')
563	wx.EVT_MENU(self, id, self.onFitting)
564
565	id = wx.NewId()
566	slicerpop.AppendSeparator()
567	slicerpop.Append(id, '&Reset Graph')
568	wx.EVT_MENU(self, id, self.onResetGraph)
569
570	pos = event.GetPosition()
571	pos = self.ScreenToClient(pos)
572	self.PopupMenu(slicerpop, pos)
573
574	## The following is plottable functionality
575
576
577	def properties(self,prop):
578	"""Set some properties of the graph.
579
580	The set of properties is not yet determined.
581	"""
582	# The particulars of how they are stored and manipulated (e.g., do
583	# we want an inventory internally) is not settled. I've used a
584	# property dictionary for now.
585	#
586	# How these properties interact with a user defined style file is
587	# even less clear.
588
589	# Properties defined by plot
590	self.subplot.set_xlabel(r"$%s$" % prop["xlabel"])
591	self.subplot.set_ylabel(r"$%s$" % prop["ylabel"])
592	self.subplot.set_title(prop["title"])
593
594	# Properties defined by user
595	#self.axes.grid(True)
596
597	def clear(self):
598	"""Reset the plot"""
599
600	# TODO: Redraw is brutal. Render to a backing store and swap in
601	# TODO: rather than redrawing on the fly.
602	self.subplot.clear()
603	self.subplot.hold(True)
604
605	def render(self):
606	"""Commit the plot after all objects are drawn"""
607	# TODO: this is when the backing store should be swapped in.
608	from matplotlib.font_manager import FontProperties
609	self.subplot.legend(prop=FontProperties(size=10), handletextsep=.05)
610
611	def xaxis(self,label,units):
612	"""xaxis label and units.
613
614	Axis labels know about units.
615
616	We need to do this so that we can detect when axes are not
617	commesurate. Currently this is ignored other than for formatting
618	purposes.
619	"""
620	if units != "": label = label + " (" + units + ")"
621	self.subplot.set_xlabel(label)
622	pass
623
624	def yaxis(self,label,units):
625	"""yaxis label and units."""
626	if units != "": label = label + " (" + units + ")"
627	self.subplot.set_ylabel(label)
628	pass
629
630	def _connect_to_xlim(self,callback):
631	"""Bind the xlim change notification to the callback"""
632	def process_xlim(axes):
633	lo,hi = subplot.get_xlim()
634	callback(lo,hi)
635	self.subplot.callbacks.connect('xlim_changed',process_xlim)
636
637	#def connect(self,trigger,callback):
638	# print "PlotPanel.connect???"
639	# if trigger == 'xlim': self._connect_to_xlim(callback)
640
641	def interactive_points(self,x,y,dx=None,dy=None,name='', color=0,symbol=0,label=None):
642	"""Draw markers with error bars"""
643	self.subplot.set_yscale('linear')
644	self.subplot.set_xscale('linear')
645
646	from plottable_interactor import PointInteractor
647	p = PointInteractor(self, self.subplot, zorder=3, id=name)
648	p.points(x, y, dx=dx, dy=dy, color=color, symbol=symbol, label=label)
649
650	self.subplot.set_yscale(self.yscale)
651	self.subplot.set_xscale(self.xscale)
652
653	def interactive_curve(self,x,y,dy=None,name='',color=0,symbol=0,label=None):
654	"""Draw markers with error bars"""
655	self.subplot.set_yscale('linear')
656	self.subplot.set_xscale('linear')
657
658	from plottable_interactor import PointInteractor
659	p = PointInteractor(self, self.subplot, zorder=4, id=name)
660	p.curve(x, y, dy=dy, color=color, symbol=symbol, label=label)
661
662	self.subplot.set_yscale(self.yscale)
663	self.subplot.set_xscale(self.xscale)
664
665	def plottable_selected(self, id):
666	"""
667	Called to register a plottable as selected
668	"""
669	#TODO: check that it really is in the list of plottables
670	self.graph.selected_plottable = id
671
672	def points(self,x,y,dx=None,dy=None,color=0,symbol=0,label=None):
673	"""Draw markers with error bars"""
674	self.subplot.set_yscale('linear')
675	self.subplot.set_xscale('linear')
676
677	# Convert tuple (lo,hi) to array [(x-lo),(hi-x)]
678	if dx != None and type(dx) == type(()):
679	dx = nx.vstack((x-dx[0],dx[1]-x)).transpose()
680	if dy != None and type(dy) == type(()):
681	dy = nx.vstack((y-dy[0],dy[1]-y)).transpose()
682
683	if dx==None and dy==None:
684	h = self.subplot.plot(x,y,color=self._color(color),
685	marker=self._symbol(symbol),linestyle='',label=label)
686	else:
687	col = self._color(color)
688	self.subplot.errorbar(x, y, yerr=dy, xerr=None,
689	ecolor=col, capsize=2,linestyle='', barsabove=False,
690	mec=col, mfc=col,
691	marker=self._symbol(symbol),
692	lolims=False, uplims=False,
693	xlolims=False, xuplims=False,label=label)
694
695	self.subplot.set_yscale(self.yscale)
696	self.subplot.set_xscale(self.xscale)
697
698	def curve(self,x,y,dy=None,color=0,symbol=0,label=None):
699	"""Draw a line on a graph, possibly with confidence intervals."""
700	c = self._color(color)
701	self.subplot.set_yscale('linear')
702	self.subplot.set_xscale('linear')
703
704	hlist = self.subplot.plot(x,y,color=c,marker='',linestyle='-',label=label)
705
706	self.subplot.set_yscale(self.yscale)
707	self.subplot.set_xscale(self.xscale)
708
709	def _color(self,c):
710	"""Return a particular colour"""
711	return self.colorlist[c%len(self.colorlist)]
712
713	def _symbol(self,s):
714	"""Return a particular symbol"""
715	return self.symbollist[s%len(self.symbollist)]
716
717	def _replot(self, remove_fit=False):
718	"""
719	Rescale the plottables according to the latest
720	user selection and update the plot
721
722	@param remove_fit: Fit line will be removed if True
723	"""
724	self.graph.reset_scale()
725	self._onEVT_FUNC_PROPERTY(remove_fit=remove_fit)
726
727	#TODO: Why do we have to have the following line?
728	self.fit_result.reset_view()
729
730	self.graph.render(self)
731	self.subplot.figure.canvas.draw_idle()
732
733	def _onEVT_FUNC_PROPERTY(self, remove_fit=True):
734	"""
735	Receive the x and y transformation from myDialog,Transforms x and y in View
736	and set the scale
737	"""
738	# The logic should be in the right order
739	# Delete first, and then get the whole list...
740	if remove_fit:
741	self.graph.delete(self.fit_result)
742
743	list =[]
744	list = self.graph.returnPlottable()
745
746	# Changing the scale might be incompatible with
747	# currently displayed data (for instance, going
748	# from ln to log when all plotted values have
749	# negative natural logs).
750	# Go linear and only change the scale at the end.
751	self.set_xscale("linear")
752	self.set_yscale("linear")
753	_xscale = 'linear'
754	_yscale = 'linear'
755
756
757	for item in list:
758	item.setLabel(self.xLabel,self.yLabel)
759	if ( self.xLabel=="x" ):
760	item.transformX(transform.toX,transform.errToX)
761	name, units = item.get_xaxis()
762	self.graph._xaxis_transformed("%s" % name, "%s" % units)
763
764
765	if ( self.xLabel=="x^(2)" ):
766	item.transformX(transform.toX2,transform.errToX2)
767	name, units = item.get_xaxis()
768	units=convertUnit(2,units)
769	self.graph._xaxis_transformed("%s^{2}" % name, "%s" % units)
770
771
772	if (self.xLabel=="log10(x)" ):
773	item.transformX(transform.toX_pos,transform.errToX_pos)
774	_xscale = 'log'
775	name, units = item.get_xaxis()
776	self.graph._xaxis_transformed("\log_{10}\ \ (%s)" % name, "%s" % units)
777
778
779	if ( self.yLabel=="ln(y)" ):
780	item.transformY(transform.toLogX,transform.errToLogX)
781	name, units = item.get_yaxis()
782	self.graph._yaxis_transformed("\log\ \ %s" % name, "%s" % units)
783
784
785	if ( self.yLabel=="y" ):
786	item.transformY(transform.toX,transform.errToX)
787	name, units = item.get_yaxis()
788	self.graph._yaxis_transformed("%s" % name, "%s" % units)
789
790
791	if ( self.yLabel=="log10(y)" ):
792	item.transformY(transform.toX_pos,transform.errToX_pos)
793	_yscale = 'log'
794	name, units = item.get_yaxis()
795	self.graph._yaxis_transformed("\log_{10}\ \ (%s)" % name, "%s" % units)
796
797
798	if ( self.yLabel=="y^(2)" ):
799	item.transformY( transform.toX2,transform.errToX2 )
800	name, units = item.get_yaxis()
801	units=convertUnit(2,units)
802	self.graph._yaxis_transformed("%s^{2}" % name, "%s" % units)
803
804
805	if ( self.yLabel =="1/y"):
806	item.transformY(transform.toOneOverX,transform.errOneOverX )
807	name, units = item.get_yaxis()
808	units=convertUnit(-1,units)
809	self.graph._yaxis_transformed("1/%s" % name, "%s" % units)
810
811	if ( self.yLabel =="1/sqrt(y)" ):
812	item.transformY(transform.toOneOverSqrtX,transform.errOneOverSqrtX )
813	name, units = item.get_yaxis()
814	units=convertUnit(-0.5,units)
815	self.graph._yaxis_transformed("1/\sqrt{%s}" %name, "%s" % units)
816
817	if ( self.yLabel =="ln(y*x)"):
818	item.transformY( transform.toLogXY,transform.errToLogXY)
819	yname, yunits = item.get_yaxis()
820	xname, xunits = item.get_xaxis()
821	self.graph._yaxis_transformed("\log\ (%s \ \ %s)" % (yname,xname), "%s%s" % (yunits,xunits))
822
823
824	if ( self.yLabel =="ln(y*x^(2))"):
825	item.transformY( transform.toLogYX2,transform.errToLogYX2)
826	yname, yunits = item.get_yaxis()
827	xname, xunits = item.get_xaxis()
828	xunits = convertUnit(2,xunits)
829	self.graph._yaxis_transformed("\log (%s \ \ %s^{2})" % (yname,xname), "%s%s" % (yunits,xunits))
830
831
832	if ( self.yLabel =="ln(y*x^(4))"):
833	item.transformY(transform.toLogYX4,transform.errToLogYX4)
834	yname, yunits = item.get_yaxis()
835	xname, xunits = item.get_xaxis()
836	xunits = convertUnit(4,xunits)
837	self.graph._yaxis_transformed("\log (%s \ \ %s^{4})" % (yname,xname), "%s%s" % (yunits,xunits))
838
839	if ( self.viewModel == "Guinier lny vs x^(2)"):
840
841	item.transformX(transform.toX2,transform.errToX2)
842	name, units = item.get_xaxis()
843	units = convertUnit(2,units)
844	self.graph._xaxis_transformed("%s^{2}" % name, "%s" % units)
845
846
847	item.transformY(transform.toLogX,transform.errToLogX )
848	name, units = item.get_yaxis()
849	self.graph._yaxis_transformed("\log\ \ %s" % name, "%s" % units)
850
851
852	item.transformView()
853
854	self.resetFitView()
855	self.prevXtrans = self.xLabel
856	self.prevYtrans = self.yLabel
857	self.graph.render(self)
858
859	self.set_xscale(_xscale)
860	self.set_yscale(_yscale)
861
862	self.subplot.figure.canvas.draw_idle()
863
864
865
866	def onFitDisplay(self, tempx,tempy,xminView,xmaxView,xmin,xmax,func):
867	"""
868	Add a new plottable into the graph .In this case this plottable will be used
869	to fit some data
870	@param tempx: The x data of fit line
871	@param tempy: The y data of fit line
872	@param xminView: the lower bound of fitting range
873	@param xminView: the upper bound of fitting range
874	@param xmin: the lowest value of data to fit to the line
875	@param xmax: the highest value of data to fit to the line
876	"""
877	# Saving value to redisplay in Fit Dialog when it is opened again
878	self.Avalue,self.Bvalue,self.ErrAvalue,self.ErrBvalue,self.Chivalue=func
879	self.xminView=xminView
880	self.xmaxView=xmaxView
881	self.xmin= xmin
882	self.xmax= xmax
883	#In case need to change the range of data plotted
884	list =[]
885	list = self.graph.returnPlottable()
886	for item in list:
887	#item.onFitRange(xminView,xmaxView)
888	item.onFitRange(None,None)
889
890	# Create new data plottable with result
891	self.fit_result.x =[]
892	self.fit_result.y =[]
893	self.fit_result.x =tempx
894	self.fit_result.y =tempy
895	self.fit_result.dx=None
896	self.fit_result.dy=None
897	#Load the view with the new values
898	self.fit_result.reset_view()
899	# Add the new plottable to the graph
900	self.graph.add(self.fit_result)
901	self.graph.render(self)
902	self._offset_graph()
903	self.subplot.figure.canvas.draw_idle()
904
905
906	def onResetGraph(self,event):
907	"""
908	Reset the graph by plotting the full range of data
909	"""
910	list =[]
911	list = self.graph.returnPlottable()
912	for item in list:
913	item.onReset()
914	self.graph.render(self)
915	self.subplot.figure.canvas.draw_idle()
916
917	class NoRepaintCanvas(FigureCanvasWxAgg):
918	"""We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that
919	the draw method is only called for the first two paint events. After that,
920	the canvas will only be redrawn when it is resized.
921	"""
922	def __init__(self, args, *kwargs):
923	FigureCanvasWxAgg.__init__(self, args, *kwargs)
924	self._drawn = 0
925
926	def _onPaint(self, evt):
927	"""
928	Called when wxPaintEvt is generated
929	"""
930	if not self._isRealized:
931	self.realize()
932	if self._drawn < 2:
933	self.draw(repaint = False)
934	self._drawn += 1
935	self.gui_repaint(drawDC=wx.PaintDC(self))
936

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SasView

source: sasview/guitools/PlotPanel.py @ 7116b6e0

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