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source: trunk/python/asapplotter.py@ 585

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

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