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source: trunk/python/asapplotter.py @ 600

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Last change on this file since 600 was 600, checked in by mar637, 19 years ago
Fixed asap0008 and asap0014
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[203]	1	from asap.asaplot import ASAPlot
[226]	2	from asap import rcParams
[203]	3
	4	class asapplotter:
[226]	5	"""
	6	The ASAP plotter.
	7	By default the plotter is set up to plot polarisations
	8	'colour stacked' and scantables across panels.
	9	Note:
	10	Currenly it only plots 'spectra' not Tsys or
	11	other variables.
	12	"""
[203]	13	def __init__(self):
	14	self._plotter = ASAPlot()
	15
	16	self._tdict = {'Time':'t','time':'t','t':'t','T':'t'}
	17	self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'}
	18	self._idict = {'IF':'i','if':'i','i':'i','I':'i'}
	19	self._pdict = {'Pol':'p','pol':'p','p':'p'}
	20	self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'}
[525]	21	self._cdict = {'t':'len(self._cursor["t"])',
	22	'b':'len(self._cursor["b"])',
	23	'i':'len(self._cursor["i"])',
	24	'p':'len(self._cursor["p"])',
[203]	25	's':'len(scans)'}
	26	self._ldict = {'b':'Beam',
	27	'i':'IF',
	28	'p':'Pol',
	29	's':'Scan'}
	30	self._dicts = [self._tdict,self._bdict,
	31	self._idict,self._pdict,
	32	self._sdict]
[554]	33	self._panelling = None
	34	self._stacking = None
	35	self.set_panelling()
	36	self.set_stacking()
[377]	37	self._rows = None
	38	self._cols = None
[203]	39	self._autoplot = False
[525]	40	self._minmaxx = None
	41	self._minmaxy = None
[203]	42	self._data = None
	43	self._lmap = []
[226]	44	self._title = None
[257]	45	self._ordinate = None
	46	self._abcissa = None
[525]	47	self._cursor = {'t':None, 'b':None,
	48	'i':None, 'p':None
	49	}
[203]	50
	51	def _translate(self, name):
	52	for d in self._dicts:
	53	if d.has_key(name):
	54	return d[name]
	55	return None
	56
[525]	57	def plot(self, *args):
[203]	58	"""
	59	Plot a (list of) scantables.
	60	Parameters:
	61	one or more comma separated scantables
	62	Note:
	63	If a (list) of scantables was specified in a previous call
	64	to plot, no argument has to be given to 'replot'
[525]	65	NO checking is done that the abcissas of the scantables
[203]	66	are consistent e.g. all 'channel' or all 'velocity' etc.
	67	"""
	68	if self._plotter.is_dead:
	69	self._plotter = ASAPlot()
[600]	70	self._plotter.hold()
[203]	71	self._plotter.clear()
	72	if len(args) > 0:
[525]	73	if self._data is not None:
	74	if list(args) != self._data:
	75	self._data = list(args)
	76	# reset cursor
[541]	77	self.set_cursor(refresh=False)
[525]	78	else:
	79	self._data = list(args)
[541]	80	self.set_cursor(refresh=False)
[554]	81	if self._panelling == 't':
[541]	82	maxrows = 9
	83	if self._data[0].nrow() > maxrows:
	84	print "Scan to be plotted contains more than %d rows.\n" \
	85	"Selecting first %d rows..." % (maxrows,maxrows)
	86	self._cursor["t"] = range(maxrows)
[203]	87	self._plot_time(self._data[0], self._stacking)
[554]	88	elif self._panelling == 's':
[203]	89	self._plot_scans(self._data, self._stacking)
	90	else:
	91	self._plot_other(self._data, self._stacking)
[525]	92	if self._minmaxx is not None or self._minmaxy is not None:
	93	self._plotter.set_limits(xlim=self._minmaxx,ylim=self._minmaxy)
[203]	94	self._plotter.release()
	95	return
	96
	97	def _plot_time(self, scan, colmode):
	98	if colmode == 't':
	99	return
[525]	100	n = len(self._cursor["t"])
[203]	101	cdict = {'b':'scan.setbeam(j)',
	102	'i':'scan.setif(j)',
	103	'p':'scan.setpol(j)'}
[525]	104	cdict2 = {'b':'self._cursor["b"]',
	105	'i':'self._cursor["i"]',
	106	'p':'self._cursor["p"]'}
	107	ncol = 1
[203]	108	if self._stacking is not None:
	109	ncol = eval(self._cdict.get(colmode))
	110	if n > 1:
[377]	111	if self._rows and self._cols:
	112	n = min(n,self._rows*self._cols)
	113	self._plotter.set_panels(rows=self._rows,cols=self._cols,
	114	nplots=n)
	115	else:
[485]	116	self._plotter.set_panels(rows=n,cols=0,nplots=n)
[600]	117	else:
	118	self._plotter.set_panels()
[525]	119	rows = self._cursor["t"]
	120	self._plotter.palette(1)
	121	for rowsel in rows:
	122	i = self._cursor["t"].index(rowsel)
[203]	123	if n > 1:
[377]	124	self._plotter.palette(1)
[203]	125	self._plotter.subplot(i)
[525]	126	colvals = eval(cdict2.get(colmode))
	127	for j in colvals:
	128	polmode = "raw"
	129	jj = colvals.index(j)
	130	savej = j
	131	for k in cdict.keys():
	132	sel = eval(cdict2.get(k))
	133	j = sel[0]
	134	if k == "p":
	135	which = self._cursor["p"].index(j)
	136	polmode = self._polmode[which]
	137	j = which
	138	eval(cdict.get(k))
	139	j = savej
	140	if colmode == "p":
	141	polmode = self._polmode[self._cursor["p"].index(j)]
	142	j = jj
[203]	143	eval(cdict.get(colmode))
	144	x = None
	145	y = None
	146	m = None
[226]	147	if not self._title:
[525]	148	tlab = scan._getsourcename(rowsel)
[226]	149	else:
	150	if len(self._title) == n:
[525]	151	tlab = self._title[rowsel]
[226]	152	else:
[525]	153	tlab = scan._getsourcename(rowsel)
	154	x,xlab = scan.get_abcissa(rowsel)
[257]	155	if self._abcissa: xlab = self._abcissa
[525]	156	y = None
	157	if polmode == "stokes":
	158	y = scan._getstokesspectrum(rowsel)
	159	elif polmode == "stokes2":
	160	y = scan._getstokesspectrum(rowsel,True)
[541]	161	elif polmode == "circular":
	162	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	163	else:
	164	y = scan._getspectrum(rowsel)
[257]	165	if self._ordinate:
	166	ylab = self._ordinate
	167	else:
	168	ylab = 'Flux ('+scan.get_fluxunit()+')'
[525]	169	m = scan._getmask(rowsel)
[226]	170	if self._lmap and len(self._lmap) > 0:
[525]	171	llab = self._lmap[jj]
[203]	172	else:
[525]	173	if colmode == 'p':
	174	if polmode == "stokes":
	175	llab = scan._getpolarizationlabel(0,1,0)
	176	elif polmode == "stokes2":
	177	llab = scan._getpolarizationlabel(0,1,1)
[541]	178	elif polmode == "circular":
	179	llab = scan._getpolarizationlabel(0,0,0)
[525]	180	else:
	181	llab = scan._getpolarizationlabel(1,0,0)
	182	else:
	183	llab = self._ldict.get(colmode)+' '+str(j)
[203]	184	self._plotter.set_line(label=llab)
	185	self._plotter.plot(x,y,m)
	186	xlim=[min(x),max(x)]
	187	self._plotter.axes.set_xlim(xlim)
	188	self._plotter.set_axes('xlabel',xlab)
	189	self._plotter.set_axes('ylabel',ylab)
	190	self._plotter.set_axes('title',tlab)
	191	return
	192
[525]	193	def _plot_scans(self, scans, colmode):
	194	print "Can only plot one row per scan."
[203]	195	if colmode == 's':
	196	return
	197	cdict = {'b':'scan.setbeam(j)',
	198	'i':'scan.setif(j)',
	199	'p':'scan.setpol(j)'}
[525]	200	cdict2 = {'b':'self._cursor["b"]',
	201	'i':'self._cursor["i"]',
	202	'p':'self._cursor["p"]'}
	203
[203]	204	n = len(scans)
[525]	205	ncol = 1
[203]	206	if self._stacking is not None:
	207	scan = scans[0]
	208	ncol = eval(self._cdict.get(colmode))
	209	if n > 1:
[377]	210	if self._rows and self._cols:
	211	n = min(n,self._rows*self._cols)
[554]	212	self._plotter.set_panel(rows=self._rows,cols=self._cols,
[377]	213	nplots=n)
	214	else:
[554]	215	self._plotter.set_panel(rows=n,cols=0,nplots=n)
[600]	216	else:
	217	self._plotter.set_panels()
[203]	218	for scan in scans:
[541]	219	self._plotter.palette(1)
[203]	220	if n > 1:
[525]	221	self._plotter.subplot(scans.index(scan))
[485]	222	self._plotter.palette(1)
[525]	223	colvals = eval(cdict2.get(colmode))
	224	rowsel = self._cursor["t"][0]
	225	for j in colvals:
	226	polmode = "raw"
	227	jj = colvals.index(j)
	228	savej = j
	229	for k in cdict.keys():
	230	sel = eval(cdict2.get(k))
	231	j = sel[0]
	232	eval(cdict.get(k))
	233	if k == "p":
	234	which = self._cursor["p"].index(j)
	235	polmode = self._polmode[which]
	236	j = which
	237	j = savej
	238	if colmode == "p":
	239	polmode = self._polmode[self._cursor["p"].index(j)]
	240	j = jj
[203]	241	eval(cdict.get(colmode))
	242	x = None
	243	y = None
	244	m = None
[226]	245	tlab = self._title
	246	if not self._title:
[525]	247	tlab = scan._getsourcename(rowsel)
	248	x,xlab = scan.get_abcissa(rowsel)
[257]	249	if self._abcissa: xlab = self._abcissa
[525]	250	if polmode == "stokes":
	251	y = scan._getstokesspectrum(rowsel)
	252	elif polmode == "stokes2":
	253	y = scan._getstokesspectrum(rowsel,True)
[541]	254	elif polmode == "circular":
	255	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	256	else:
	257	y = scan._getspectrum(rowsel)
[257]	258	if self._ordinate:
	259	ylab = self._ordinate
	260	else:
	261	ylab = 'Flux ('+scan.get_fluxunit()+')'
[525]	262	m = scan._getmask(rowsel)
[257]	263	if self._lmap and len(self._lmap) > 0:
[525]	264	llab = self._lmap[jj]
[203]	265	else:
[525]	266	if colmode == 'p':
	267	if polmode == "stokes":
	268	llab = scan._getpolarizationlabel(0,1,0)
	269	elif polmode == "stokes2":
	270	llab = scan._getpolarizationlabel(0,1,1)
[541]	271	elif polmode == "circular":
	272	llab = scan._getpolarizationlabel(0,0,0)
[525]	273	else:
	274	llab = scan._getpolarizationlabel(1,0,0)
	275	else:
	276	llab = self._ldict.get(colmode)+' '+str(j)
[203]	277	self._plotter.set_line(label=llab)
	278	self._plotter.plot(x,y,m)
	279	xlim=[min(x),max(x)]
	280	self._plotter.axes.set_xlim(xlim)
	281
	282	self._plotter.set_axes('xlabel',xlab)
	283	self._plotter.set_axes('ylabel',ylab)
	284	self._plotter.set_axes('title',tlab)
	285	return
	286
	287	def _plot_other(self,scans,colmode):
[554]	288	if colmode == self._panelling:
[203]	289	return
[525]	290	cdict = {'b':'scan.setbeam(i)',
	291	'i':'scan.setif(i)',
	292	'p':'scan.setpol(i)'}
	293	cdict2 = {'b':'self._cursor["b"]',
	294	'i':'self._cursor["i"]',
	295	'p':'self._cursor["p"]',
	296	's': 'scans',
	297	't': 'self._cursor["t"]'}
[203]	298	scan = scans[0]
[554]	299	n = eval(self._cdict.get(self._panelling))
[525]	300	ncol=1
[203]	301	if self._stacking is not None:
	302	ncol = eval(self._cdict.get(colmode))
	303	if n > 1:
[377]	304	if self._rows and self._cols:
	305	n = min(n,self._rows*self._cols)
	306	self._plotter.set_panels(rows=self._rows,cols=self._cols,
	307	nplots=n)
	308	else:
[485]	309	self._plotter.set_panels(rows=n,cols=0,nplots=n)
[600]	310	else:
	311	self._plotter.set_panels()
[554]	312	panels = self._cursor[self._panelling]
[525]	313	for i in panels:
[541]	314	self._plotter.palette(1)
[525]	315	polmode = "raw"
[554]	316	ii = self._cursor[self._panelling].index(i)
[203]	317	if n>1:
[525]	318	self._plotter.subplot(ii)
[554]	319	if self._panelling == "p":
[525]	320	polmode = self._polmode[ii]
[554]	321	eval(cdict.get(self._panelling))
[525]	322	else:
[554]	323	eval(cdict.get(self._panelling))
[525]	324	colvals = eval(cdict2.get(colmode))
	325	for j in colvals:
	326	rowsel = self._cursor["t"][0]
	327	jj = colvals.index(j)
	328	savei = i
	329	for k in cdict.keys():
[554]	330	if k != self._panelling:
[525]	331	sel = eval(cdict2.get(k))
	332	i = sel[0]
	333	if k == "p":
[557]	334	which = self._cursor["p"].index(i)
[525]	335	polmode = self._polmode[which]
	336	i = which
	337	eval(cdict.get(k))
	338	i = savei
[203]	339	if colmode == 's':
[525]	340	scan = j
[203]	341	elif colmode == 't':
[525]	342	rowsel = j
[203]	343	else:
[525]	344	savei = i
	345	if colmode == 'p':
	346	polmode = self._polmode[self._cursor["p"].index(j)]
	347	i = j
[203]	348	eval(cdict.get(colmode))
[525]	349	i = savei
[203]	350	x = None
	351	y = None
	352	m = None
[525]	353	x,xlab = scan.get_abcissa(rowsel)
[257]	354	if self._abcissa: xlab = self._abcissa
[525]	355	if polmode == "stokes":
	356	y = scan._getstokesspectrum(rowsel)
	357	elif polmode == "stokes2":
	358	y = scan._getstokesspectrum(rowsel,True)
[541]	359	elif polmode == "circular":
	360	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	361	else:
	362	y = scan._getspectrum(rowsel)
	363
[257]	364	if self._ordinate:
	365	ylab = self._ordinate
	366	else:
	367	ylab = 'Flux ('+scan.get_fluxunit()+')'
[525]	368	m = scan._getmask(rowsel)
[203]	369	if colmode == 's' or colmode == 't':
[525]	370	if self._title and len(self._title) > 0:
	371	tlab = self._title[ii]
	372	else:
[554]	373	tlab = self._ldict.get(self._panelling)+' '+str(i)
[525]	374	llab = scan._getsourcename(rowsel)
[203]	375	else:
[226]	376	if self._title and len(self._title) > 0:
[525]	377	tlab = self._title[ii]
[226]	378	else:
[554]	379	tlab = self._ldict.get(self._panelling)+' '+str(i)
[226]	380	if self._lmap and len(self._lmap) > 0:
[525]	381	llab = self._lmap[jj]
[203]	382	else:
[525]	383	if colmode == 'p':
	384	if polmode == "stokes":
	385	llab = scan._getpolarizationlabel(0,1,0)
	386	elif polmode == "stokes2":
	387	llab = scan._getpolarizationlabel(0,1,1)
[541]	388	elif polmode == "circular":
	389	llab = scan._getpolarizationlabel(0,0,0)
[525]	390	else:
	391	llab = scan._getpolarizationlabel(1,0,0)
	392	else:
	393	llab = self._ldict.get(colmode)+' '+str(j)
[554]	394	if self._panelling == 'p':
[525]	395	if polmode == "stokes":
	396	tlab = scan._getpolarizationlabel(0,1,0)
	397	elif polmode == "stokes2":
	398	tlab = scan._getpolarizationlabel(0,1,1)
[541]	399	elif polmode == "circular":
	400	tlab = scan._getpolarizationlabel(0,0,0)
[525]	401	else:
	402	tlab = scan._getpolarizationlabel(1,0,0)
[203]	403	self._plotter.set_line(label=llab)
	404	self._plotter.plot(x,y,m)
	405	xlim=[min(x),max(x)]
	406	self._plotter.axes.set_xlim(xlim)
	407
	408	self._plotter.set_axes('xlabel',xlab)
	409	self._plotter.set_axes('ylabel',ylab)
	410	self._plotter.set_axes('title',tlab)
	411
	412	return
	413
	414
[226]	415	def set_mode(self, stacking=None, panelling=None):
[203]	416	"""
[377]	417	Set the plots look and feel, i.e. what you want to see on the plot.
[203]	418	Parameters:
	419	stacking: tell the plotter which variable to plot
	420	as line colour overlays (default 'pol')
	421	panelling: tell the plotter which variable to plot
	422	across multiple panels (default 'scan'
	423	Note:
	424	Valid modes are:
	425	'beam' 'Beam' 'b': Beams
	426	'if' 'IF' 'i': IFs
	427	'pol' 'Pol' 'p': Polarisations
	428	'scan' 'Scan' 's': Scans
	429	'time' 'Time' 't': Times
	430	"""
[554]	431	if not self.set_panelling(panelling):
[203]	432	print "Invalid mode"
[226]	433	return
[203]	434	if not self.set_stacking(stacking):
	435	print "Invalid mode"
[226]	436	return
	437	if self._data: self.plot()
[203]	438	return
	439
[554]	440	def set_panelling(self, what=None):
	441	mode = what
	442	if mode is None:
	443	mode = rcParams['plotter.panelling']
	444	md = self._translate(mode)
[203]	445	if md:
[554]	446	self._panelling = md
[226]	447	self._title = None
[203]	448	return True
	449	return False
	450
[377]	451	def set_layout(self,rows=None,cols=None):
	452	"""
	453	Set the multi-panel layout, i.e. how many rows and columns plots
	454	are visible.
	455	Parameters:
	456	rows: The number of rows of plots
	457	cols: The number of columns of plots
	458	Note:
	459	If no argument is given, the potter reverts to its auto-plot
	460	behaviour.
	461	"""
	462	self._rows = rows
	463	self._cols = cols
	464	if self._data: self.plot()
	465	return
	466
[226]	467	def set_stacking(self, what=None):
[554]	468	mode = what
	469	if mode is None:
	470	mode = rcParams['plotter.stacking']
	471	md = self._translate(mode)
[203]	472	if md:
	473	self._stacking = md
[226]	474	self._lmap = None
[203]	475	return True
	476	return False
	477
[525]	478	def set_range(self,xstart=None,xend=None,ystart=None,yend=None):
[203]	479	"""
	480	Set the range of interest on the abcissa of the plot
	481	Parameters:
[525]	482	[x,y]start,[x,y]end: The start and end points of the 'zoom' window
[203]	483	Note:
	484	These become non-sensical when the unit changes.
	485	use plotter.set_range() without parameters to reset
	486
	487	"""
[525]	488	if xstart is None and xend is None:
	489	self._minmaxx = None
[600]	490	else:
	491	self._minmaxx = [xstart,xend]
[525]	492	if ystart is None and yend is None:
	493	self._minmaxy = None
[600]	494	else:
	495	self._minmaxy = [ystart,yend]
[525]	496	if self._data: self.plot()
[203]	497	return
	498
[257]	499	def set_legend(self, mp=None):
[203]	500	"""
	501	Specify a mapping for the legend instead of using the default
	502	indices:
	503	Parameters:
	504	mp: a list of 'strings'. This should have the same length
	505	as the number of elements on the legend and then maps
	506	to the indeces in order
	507
	508	Example:
[485]	509	If the data has two IFs/rest frequencies with index 0 and 1
[203]	510	for CO and SiO:
	511	plotter.set_stacking('i')
	512	plotter.set_legend_map(['CO','SiO'])
	513	plotter.plot()
	514	"""
	515	self._lmap = mp
[226]	516	if self._data: self.plot()
	517	return
	518
	519	def set_title(self, title=None):
	520	self._title = title
	521	if self._data: self.plot()
	522	return
	523
[257]	524	def set_ordinate(self, ordinate=None):
	525	self._ordinate = ordinate
	526	if self._data: self.plot()
	527	return
	528
	529	def set_abcissa(self, abcissa=None):
	530	self._abcissa = abcissa
	531	if self._data: self.plot()
	532	return
	533
[377]	534	def save(self, filename=None):
	535	"""
	536	Save the plot to a file. The know formats are 'png', 'ps', 'eps'.
	537	Parameters:
	538	filename: The name of the output file. This is optional
	539	and autodetects the image format from the file
	540	suffix. If non filename is specified a file
	541	called 'yyyymmdd_hhmmss.png' is created in the
	542	current directory.
	543	"""
	544	self._plotter.save(filename)
	545	return
[525]	546
[541]	547	def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True):
[525]	548	"""
	549	Specify a 'cursor' for plotting selected spectra. Time (rows),
	550	Beam, IF, Polarisation ranges can be specified.
	551	Parameters:
	552	Default for all paramaters is to select all available
	553	row: selects the rows (time stamps) to be plotted, this has
	554	to be a vector of row indices, e.g. row=[0,2,5] or row=[2]
	555	beam: select a range of beams
	556	IF: select a range of IFs
	557	pol: select Polarisations for plotting these can be by index
	558	(raw polarisations (default)) or by names any of:
	559	["I", "Q", "U", "V"] or
	560	["I", "Plinear", "Pangle", "V"] or
[541]	561	["XX", "YY", "Real(XY)", "Imag(XY)"] or
	562	["RR", "LL"]
[525]	563	Example:
	564	plotter.set_mode('pol','time')
	565	plotter.plot(myscan) # plots all raw polarisations colour stacked
	566	plotter.set_cursor(pol=["I"]) # plot "I" only for all rows
	567	# plot "I" only for two time stamps row=0 and row=2
	568	plotter.set_cursor(row=[0,2],pol=["I"])
[257]	569
[525]	570	Note:
	571	Be careful to select only exisiting polarisations.
	572	"""
	573	if not self._data:
	574	print "Can only set cursor after a first call to plot()"
	575	return
	576
	577	n = self._data[0].nrow()
	578	if row is None:
	579	self._cursor["t"] = range(n)
	580	else:
	581	for i in row:
[554]	582	if i < 0 or i >= n:
[525]	583	print "Row index '%d' out of range" % i
	584	return
	585	self._cursor["t"] = row
	586
	587	n = self._data[0].nbeam()
	588	if beam is None:
	589	self._cursor["b"] = range(n)
	590	else:
	591	for i in beam:
[554]	592	if i < 0 or i >= n:
[525]	593	print "Beam index '%d' out of range" % i
	594	return
	595	self._cursor["b"] = beam
	596
	597	n = self._data[0].nif()
	598	if IF is None:
	599	self._cursor["i"] = range(n)
	600	else:
	601	for i in IF:
[554]	602	if i < 0 or i >= n:
[525]	603	print "IF index '%d' out of range" %i
	604	return
	605	self._cursor["i"] = IF
	606
	607	n = self._data[0].npol()
	608	dstokes = {"I":0,"Q":1,"U":2,"V":3}
	609	dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3}
	610	draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3}
[541]	611	dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Image(RL)":3}
[525]	612
	613	if pol is None:
	614	self._cursor["p"] = range(n)
	615	self._polmode = ["raw" for i in range(n)]
	616	else:
	617	if isinstance(pol,str):
	618	pol = pol.split()
	619	polmode = []
	620	pols = []
	621	for i in pol:
	622	if isinstance(i,str):
	623	if draw.has_key(i):
	624	pols.append(draw.get(i))
	625	polmode.append("raw")
	626	elif dstokes.has_key(i):
	627	pols.append(dstokes.get(i))
	628	polmode.append("stokes")
	629	elif dstokes2.has_key(i):
	630	pols.append(dstokes2.get(i))
	631	polmode.append("stokes2")
	632	elif dcirc.has_key(i):
	633	pols.append(dcirc.get(i))
[541]	634	polmode.append("circular")
[525]	635	else:
	636	"Pol type '%s' not valid" %i
	637	return
	638	elif 0 > i >= n:
	639	print "Pol index '%d' out of range" %i
	640	return
	641	else:
	642	pols.append(i)
	643	polmode.append("raw")
	644	self._cursor["p"] = pols
	645	self._polmode = polmode
[541]	646	if self._data and refresh: self.plot()
[525]	647
	648
[203]	649	if __name__ == '__main__':
	650	plotter = asapplotter()

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