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asapplotter.py@ 2468

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Last change on this file since 2468 was 783, checked in by mar637, 19 years ago
Bug Fix: Possible bug fix for set_mode("s","i").
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
File size: 33.0 KB

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[753]	1	from asap import rcParams, print_log
[709]	2	from numarray import logical_and
[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	"""
[734]	13	def __init__(self, visible=None):
	14	self._visible = rcParams['plotter.gui']
	15	if visible is not None:
	16	self._visible = visible
[710]	17	self._plotter = self._newplotter()
	18
[203]	19	self._tdict = {'Time':'t','time':'t','t':'t','T':'t'}
	20	self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'}
	21	self._idict = {'IF':'i','if':'i','i':'i','I':'i'}
	22	self._pdict = {'Pol':'p','pol':'p','p':'p'}
	23	self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'}
[525]	24	self._cdict = {'t':'len(self._cursor["t"])',
	25	'b':'len(self._cursor["b"])',
	26	'i':'len(self._cursor["i"])',
	27	'p':'len(self._cursor["p"])',
[203]	28	's':'len(scans)'}
	29	self._ldict = {'b':'Beam',
	30	'i':'IF',
	31	'p':'Pol',
	32	's':'Scan'}
	33	self._dicts = [self._tdict,self._bdict,
	34	self._idict,self._pdict,
	35	self._sdict]
[554]	36	self._panelling = None
	37	self._stacking = None
	38	self.set_panelling()
	39	self.set_stacking()
[377]	40	self._rows = None
	41	self._cols = None
[203]	42	self._autoplot = False
[525]	43	self._minmaxx = None
	44	self._minmaxy = None
[710]	45	self._datamask = None
[203]	46	self._data = None
[607]	47	self._lmap = None
[226]	48	self._title = None
[257]	49	self._ordinate = None
	50	self._abcissa = None
[709]	51	self._abcunit = None
[525]	52	self._cursor = {'t':None, 'b':None,
	53	'i':None, 'p':None
	54	}
[710]	55	self._usermask = None
	56	self._usermaskspectra = None
[203]	57
[710]	58	def _newplotter(self):
	59	if self._visible:
	60	from asap.asaplotgui import asaplotgui as asaplot
	61	else:
	62	from asap.asaplot import asaplot
	63	return asaplot()
	64
	65
[203]	66	def _translate(self, name):
	67	for d in self._dicts:
	68	if d.has_key(name):
	69	return d[name]
	70	return None
[709]	71
[525]	72	def plot(self, *args):
[203]	73	"""
	74	Plot a (list of) scantables.
	75	Parameters:
[709]	76	one or more comma separated scantables
[203]	77	Note:
	78	If a (list) of scantables was specified in a previous call
	79	to plot, no argument has to be given to 'replot'
[525]	80	NO checking is done that the abcissas of the scantables
[203]	81	are consistent e.g. all 'channel' or all 'velocity' etc.
	82	"""
[710]	83	if self._plotter.is_dead:
	84	self._plotter = self._newplotter()
[600]	85	self._plotter.hold()
[203]	86	self._plotter.clear()
	87	if len(args) > 0:
[709]	88	if self._data is not None:
[525]	89	if list(args) != self._data:
	90	self._data = list(args)
[710]	91	# reset
	92	self._reset()
[525]	93	else:
[710]	94	if isinstance(args[0], list):
	95	self._data = args[0]
	96	else:
	97	self._data = list(args)
	98	self._reset()
[709]	99	# ranges become invalid when unit changes
	100	if self._abcunit != self._data[0].get_unit():
	101	self._minmaxx = None
	102	self._minmaxy = None
	103	self._abcunit = self._data[0].get_unit()
[710]	104	self._datamask = None
[554]	105	if self._panelling == 't':
[626]	106	maxrows = 25
[759]	107	if self._data[0].nrow() > maxrows and not (self._rows and self._cols):
[603]	108	if self._cursor["t"] is None or \
	109	(isinstance(self._cursor["t"],list) and \
	110	len(self._cursor["t"]) > maxrows ):
[753]	111	from asap import asaplog
	112	msg ="Scan to be plotted contains more than %d rows.\n" \
[603]	113	"Selecting first %d rows..." % (maxrows,maxrows)
[753]	114	asaplog.push(msg)
[603]	115	self._cursor["t"] = range(maxrows)
[203]	116	self._plot_time(self._data[0], self._stacking)
[554]	117	elif self._panelling == 's':
[203]	118	self._plot_scans(self._data, self._stacking)
	119	else:
	120	self._plot_other(self._data, self._stacking)
[709]	121	if self._minmaxy is not None:
	122	self._plotter.set_limits(ylim=self._minmaxy)
[203]	123	self._plotter.release()
[753]	124	print_log()
[203]	125	return
	126
	127	def _plot_time(self, scan, colmode):
	128	if colmode == 't':
	129	return
[525]	130	n = len(self._cursor["t"])
[203]	131	cdict = {'b':'scan.setbeam(j)',
	132	'i':'scan.setif(j)',
	133	'p':'scan.setpol(j)'}
[525]	134	cdict2 = {'b':'self._cursor["b"]',
	135	'i':'self._cursor["i"]',
	136	'p':'self._cursor["p"]'}
	137	ncol = 1
[203]	138	if self._stacking is not None:
	139	ncol = eval(self._cdict.get(colmode))
	140	if n > 1:
[710]	141	ganged = rcParams['plotter.ganged']
[377]	142	if self._rows and self._cols:
	143	n = min(n,self._rows*self._cols)
	144	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[710]	145	nplots=n,ganged=ganged)
[377]	146	else:
[710]	147	self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
[600]	148	else:
	149	self._plotter.set_panels()
[782]	150	allxlim=[]
[525]	151	rows = self._cursor["t"]
[759]	152	rows = rows[:n]
[652]	153	self._plotter.palette(0)
[525]	154	for rowsel in rows:
	155	i = self._cursor["t"].index(rowsel)
[203]	156	if n > 1:
[652]	157	self._plotter.palette(0)
[203]	158	self._plotter.subplot(i)
[525]	159	colvals = eval(cdict2.get(colmode))
	160	for j in colvals:
	161	polmode = "raw"
	162	jj = colvals.index(j)
	163	savej = j
	164	for k in cdict.keys():
[709]	165	sel = eval(cdict2.get(k))
[525]	166	j = sel[0]
	167	if k == "p":
	168	which = self._cursor["p"].index(j)
	169	polmode = self._polmode[which]
	170	j = which
	171	eval(cdict.get(k))
	172	j = savej
	173	if colmode == "p":
	174	polmode = self._polmode[self._cursor["p"].index(j)]
[709]	175	#j = jj
[203]	176	eval(cdict.get(colmode))
	177	x = None
	178	y = None
	179	m = None
[626]	180	if self._title is None:
[709]	181	tlab = scan._getsourcename(rowsel)
[226]	182	else:
[626]	183	if len(self._title) >= n:
[525]	184	tlab = self._title[rowsel]
[226]	185	else:
[525]	186	tlab = scan._getsourcename(rowsel)
	187	x,xlab = scan.get_abcissa(rowsel)
[257]	188	if self._abcissa: xlab = self._abcissa
[525]	189	y = None
[710]	190	m = scan._getmask(rowsel)
	191	if self._usermask and self._usermask.count(j):
	192	m = logical_and(self._usermask, m)
[525]	193	if polmode == "stokes":
	194	y = scan._getstokesspectrum(rowsel)
	195	elif polmode == "stokes2":
	196	y = scan._getstokesspectrum(rowsel,True)
[541]	197	elif polmode == "circular":
	198	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	199	else:
	200	y = scan._getspectrum(rowsel)
[257]	201	if self._ordinate:
	202	ylab = self._ordinate
	203	else:
[626]	204	ylab = scan._get_ordinate_label()
[525]	205	m = scan._getmask(rowsel)
[710]	206	if self._datamask is not None:
	207	if len(m) == len(self._datamask):
	208	m = logical_and(m,self._datamask)
[226]	209	if self._lmap and len(self._lmap) > 0:
[525]	210	llab = self._lmap[jj]
[203]	211	else:
[525]	212	if colmode == 'p':
[603]	213	llab = self._get_pollabel(scan, polmode)
[709]	214	else:
[525]	215	llab = self._ldict.get(colmode)+' '+str(j)
[203]	216	self._plotter.set_line(label=llab)
[709]	217	if self._minmaxx is not None:
	218	s,e = self._slice_indeces(x)
	219	x = x[s:e]
	220	y = y[s:e]
	221	m = m[s:e]
[710]	222	if len(x) > 1024 and rcParams['plotter.decimate']:
	223	fac = len(x)/1024
	224	x = x[::fac]
	225	m = m[::fac]
	226	y = y[::fac]
[203]	227	self._plotter.plot(x,y,m)
	228	xlim=[min(x),max(x)]
[709]	229	if self._minmaxx is not None:
[710]	230	xlim = self._minmaxx
[782]	231	allxlim += xlim
	232	allxlim.sort()
	233	self._plotter.axes.set_xlim([allxlim[0],allxlim[-1]])
[203]	234	self._plotter.set_axes('xlabel',xlab)
	235	self._plotter.set_axes('ylabel',ylab)
[709]	236	self._plotter.set_axes('title',tlab)
[782]	237
[203]	238	return
	239
[525]	240	def _plot_scans(self, scans, colmode):
[753]	241	from asap import asaplog
	242	msg = "Plotting mode is scans across panels. Can only plot one row per scan."
	243	asaplog.push(msg)
[203]	244	if colmode == 's':
	245	return
	246	cdict = {'b':'scan.setbeam(j)',
	247	'i':'scan.setif(j)',
	248	'p':'scan.setpol(j)'}
[525]	249	cdict2 = {'b':'self._cursor["b"]',
	250	'i':'self._cursor["i"]',
	251	'p':'self._cursor["p"]'}
[709]	252
[203]	253	n = len(scans)
[525]	254	ncol = 1
[203]	255	if self._stacking is not None:
	256	scan = scans[0]
	257	ncol = eval(self._cdict.get(colmode))
	258	if n > 1:
[710]	259	ganged = rcParams['plotter.ganged']
[377]	260	if self._rows and self._cols:
	261	n = min(n,self._rows*self._cols)
[626]	262	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[710]	263	nplots=n,ganged=ganged)
[377]	264	else:
[710]	265	self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
[600]	266	else:
	267	self._plotter.set_panels()
[709]	268
[203]	269	for scan in scans:
[652]	270	self._plotter.palette(0)
[203]	271	if n > 1:
[525]	272	self._plotter.subplot(scans.index(scan))
	273	colvals = eval(cdict2.get(colmode))
	274	rowsel = self._cursor["t"][0]
[782]	275	allxlim=[]
[525]	276	for j in colvals:
	277	polmode = "raw"
	278	jj = colvals.index(j)
	279	savej = j
	280	for k in cdict.keys():
[709]	281	sel = eval(cdict2.get(k))
[525]	282	j = sel[0]
	283	eval(cdict.get(k))
	284	if k == "p":
	285	which = self._cursor["p"].index(j)
	286	polmode = self._polmode[which]
	287	j = which
	288	j = savej
	289	if colmode == "p":
	290	polmode = self._polmode[self._cursor["p"].index(j)]
[709]	291	#j = jj
[203]	292	eval(cdict.get(colmode))
	293	x = None
	294	y = None
	295	m = None
[226]	296	tlab = self._title
	297	if not self._title:
[525]	298	tlab = scan._getsourcename(rowsel)
	299	x,xlab = scan.get_abcissa(rowsel)
[257]	300	if self._abcissa: xlab = self._abcissa
[525]	301	if polmode == "stokes":
	302	y = scan._getstokesspectrum(rowsel)
	303	elif polmode == "stokes2":
	304	y = scan._getstokesspectrum(rowsel,True)
[541]	305	elif polmode == "circular":
	306	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	307	else:
	308	y = scan._getspectrum(rowsel)
[257]	309	if self._ordinate:
	310	ylab = self._ordinate
	311	else:
[626]	312	ylab = scan._get_ordinate_label()
[525]	313	m = scan._getmask(rowsel)
[710]	314	if self._usermask and self._usermask.count(j):
	315	m = logical_and(self._usermask, m)
[257]	316	if self._lmap and len(self._lmap) > 0:
[525]	317	llab = self._lmap[jj]
[203]	318	else:
[525]	319	if colmode == 'p':
[603]	320	llab = self._get_pollabel(scan, polmode)
[525]	321	else:
	322	llab = self._ldict.get(colmode)+' '+str(j)
[203]	323	self._plotter.set_line(label=llab)
[709]	324	if self._minmaxx is not None:
	325	s,e = self._slice_indeces(x)
	326	x = x[s:e]
	327	y = y[s:e]
	328	m = m[s:e]
[710]	329	if len(x) > 1024 and rcParams['plotter.decimate']:
	330	fac = len(x)/1024
	331	x = x[::fac]
	332	m = m[::fac]
	333	y = y[::fac]
[203]	334	self._plotter.plot(x,y,m)
	335	xlim=[min(x),max(x)]
[709]	336	if self._minmaxx is not None:
[710]	337	xlim = self._minmaxx
[782]	338	allxlim += xlim
	339	allxlim.sort()
	340	self._plotter.axes.set_xlim([allxlim[0],allxlim[-1]])
[203]	341	self._plotter.set_axes('xlabel',xlab)
	342	self._plotter.set_axes('ylabel',ylab)
	343	self._plotter.set_axes('title',tlab)
[753]	344	print_log()
[203]	345	return
[709]	346
[203]	347	def _plot_other(self,scans,colmode):
[554]	348	if colmode == self._panelling:
[203]	349	return
[525]	350	cdict = {'b':'scan.setbeam(i)',
	351	'i':'scan.setif(i)',
	352	'p':'scan.setpol(i)'}
	353	cdict2 = {'b':'self._cursor["b"]',
	354	'i':'self._cursor["i"]',
	355	'p':'self._cursor["p"]',
	356	's': 'scans',
	357	't': 'self._cursor["t"]'}
[203]	358	scan = scans[0]
[554]	359	n = eval(self._cdict.get(self._panelling))
[525]	360	ncol=1
[709]	361	if self._stacking is not None:
[203]	362	ncol = eval(self._cdict.get(colmode))
	363	if n > 1:
[710]	364	ganged = rcParams['plotter.ganged']
[377]	365	if self._rows and self._cols:
	366	n = min(n,self._rows*self._cols)
	367	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[710]	368	nplots=n,ganged=ganged)
[377]	369	else:
[710]	370	self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
[600]	371	else:
[709]	372	self._plotter.set_panels()
	373	panels = self._cursor[self._panelling]
[525]	374	for i in panels:
[652]	375	self._plotter.palette(0)
[525]	376	polmode = "raw"
[554]	377	ii = self._cursor[self._panelling].index(i)
[203]	378	if n>1:
[525]	379	self._plotter.subplot(ii)
[554]	380	if self._panelling == "p":
[525]	381	polmode = self._polmode[ii]
[753]	382
	383	eval(cdict.get(self._panelling))
	384
[782]	385	allxlim=[]
[525]	386	colvals = eval(cdict2.get(colmode))
	387	for j in colvals:
	388	rowsel = self._cursor["t"][0]
	389	jj = colvals.index(j)
	390	savei = i
	391	for k in cdict.keys():
[554]	392	if k != self._panelling:
[525]	393	sel = eval(cdict2.get(k))
	394	i = sel[0]
	395	if k == "p":
[557]	396	which = self._cursor["p"].index(i)
[525]	397	polmode = self._polmode[which]
[709]	398	i = which
[525]	399	eval(cdict.get(k))
	400	i = savei
[203]	401	if colmode == 's':
[525]	402	scan = j
[203]	403	elif colmode == 't':
[709]	404	rowsel = j
[203]	405	else:
[525]	406	savei = i
	407	if colmode == 'p':
	408	polmode = self._polmode[self._cursor["p"].index(j)]
[753]	409
[525]	410	i = j
[203]	411	eval(cdict.get(colmode))
[525]	412	i = savei
[783]	413	#if self._panelling == "p":
	414	eval(cdict.get(self._panelling))
[203]	415	x = None
	416	y = None
	417	m = None
[525]	418	x,xlab = scan.get_abcissa(rowsel)
[257]	419	if self._abcissa: xlab = self._abcissa
[525]	420	if polmode == "stokes":
	421	y = scan._getstokesspectrum(rowsel)
	422	elif polmode == "stokes2":
	423	y = scan._getstokesspectrum(rowsel,True)
[541]	424	elif polmode == "circular":
	425	y = scan._stokestopolspectrum(rowsel,False,-1)
[525]	426	else:
	427	y = scan._getspectrum(rowsel)
	428
[257]	429	if self._ordinate:
	430	ylab = self._ordinate
	431	else:
[626]	432	ylab = scan._get_ordinate_label()
[525]	433	m = scan._getmask(rowsel)
[710]	434	if self._usermask and self._usermask.count(j):
	435	m = logical_and(self._usermask, m)
	436
[203]	437	if colmode == 's' or colmode == 't':
[525]	438	if self._title and len(self._title) > 0:
	439	tlab = self._title[ii]
[709]	440	else:
	441	if self._panelling == 'p':
	442	tlab = self._get_pollabel(scan, polmode)
	443	else:
	444	tlab = self._ldict.get(self._panelling)+' '+str(i)
[607]	445	if self._lmap and len(self._lmap) > 0:
	446	llab = self._lmap[jj]
	447	else:
	448	llab = scan._getsourcename(rowsel)
[203]	449	else:
[226]	450	if self._title and len(self._title) > 0:
[525]	451	tlab = self._title[ii]
[226]	452	else:
[603]	453	if self._panelling == 'p':
	454	tlab = self._get_pollabel(scan, polmode)
	455	else:
	456	tlab = self._ldict.get(self._panelling)+' '+str(i)
[226]	457	if self._lmap and len(self._lmap) > 0:
[525]	458	llab = self._lmap[jj]
[203]	459	else:
[525]	460	if colmode == 'p':
[603]	461	llab = self._get_pollabel(scan, polmode)
[525]	462	else:
	463	llab = self._ldict.get(colmode)+' '+str(j)
[203]	464	self._plotter.set_line(label=llab)
[709]	465	if self._minmaxx is not None:
	466	s,e = self._slice_indeces(x)
	467	x = x[s:e]
	468	y = y[s:e]
	469	m = m[s:e]
[710]	470	if len(x) > 1024 and rcParams['plotter.decimate']:
	471	fac = len(x)/1024
	472	x = x[::fac]
	473	m = m[::fac]
	474	y = y[::fac]
[203]	475	self._plotter.plot(x,y,m)
	476	xlim=[min(x),max(x)]
[709]	477	if self._minmaxx is not None:
[710]	478	xlim = self._minmaxx
[782]	479	allxlim += xlim
	480	allxlim.sort()
	481	self._plotter.axes.set_xlim([allxlim[0],allxlim[-1]])
[203]	482
	483	self._plotter.set_axes('xlabel',xlab)
	484	self._plotter.set_axes('ylabel',ylab)
	485	self._plotter.set_axes('title',tlab)
[709]	486
[203]	487	return
	488
	489
[226]	490	def set_mode(self, stacking=None, panelling=None):
[203]	491	"""
[377]	492	Set the plots look and feel, i.e. what you want to see on the plot.
[203]	493	Parameters:
	494	stacking: tell the plotter which variable to plot
[710]	495	as line color overlays (default 'pol')
[203]	496	panelling: tell the plotter which variable to plot
	497	across multiple panels (default 'scan'
	498	Note:
	499	Valid modes are:
	500	'beam' 'Beam' 'b': Beams
	501	'if' 'IF' 'i': IFs
	502	'pol' 'Pol' 'p': Polarisations
	503	'scan' 'Scan' 's': Scans
	504	'time' 'Time' 't': Times
	505	"""
[753]	506	msg = "Invalid mode"
	507	if not self.set_panelling(panelling) or \
	508	not self.set_stacking(stacking):
	509	if rcParams['verbose']:
	510	print msg
	511	return
	512	else:
	513	raise TypeError(msg)
[226]	514	if self._data: self.plot()
[203]	515	return
	516
[554]	517	def set_panelling(self, what=None):
	518	mode = what
	519	if mode is None:
	520	mode = rcParams['plotter.panelling']
	521	md = self._translate(mode)
[203]	522	if md:
[554]	523	self._panelling = md
[226]	524	self._title = None
[203]	525	return True
	526	return False
	527
[377]	528	def set_layout(self,rows=None,cols=None):
	529	"""
	530	Set the multi-panel layout, i.e. how many rows and columns plots
	531	are visible.
	532	Parameters:
	533	rows: The number of rows of plots
	534	cols: The number of columns of plots
	535	Note:
	536	If no argument is given, the potter reverts to its auto-plot
	537	behaviour.
	538	"""
	539	self._rows = rows
	540	self._cols = cols
	541	if self._data: self.plot()
	542	return
	543
[709]	544	def set_stacking(self, what=None):
[554]	545	mode = what
[709]	546	if mode is None:
	547	mode = rcParams['plotter.stacking']
[554]	548	md = self._translate(mode)
[203]	549	if md:
	550	self._stacking = md
[226]	551	self._lmap = None
[203]	552	return True
	553	return False
	554
[525]	555	def set_range(self,xstart=None,xend=None,ystart=None,yend=None):
[203]	556	"""
	557	Set the range of interest on the abcissa of the plot
	558	Parameters:
[525]	559	[x,y]start,[x,y]end: The start and end points of the 'zoom' window
[203]	560	Note:
	561	These become non-sensical when the unit changes.
	562	use plotter.set_range() without parameters to reset
	563
	564	"""
[525]	565	if xstart is None and xend is None:
	566	self._minmaxx = None
[600]	567	else:
	568	self._minmaxx = [xstart,xend]
[525]	569	if ystart is None and yend is None:
	570	self._minmaxy = None
[600]	571	else:
[709]	572	self._minmaxy = [ystart,yend]
[525]	573	if self._data: self.plot()
[203]	574	return
[709]	575
[257]	576	def set_legend(self, mp=None):
[203]	577	"""
	578	Specify a mapping for the legend instead of using the default
	579	indices:
	580	Parameters:
	581	mp: a list of 'strings'. This should have the same length
	582	as the number of elements on the legend and then maps
[710]	583	to the indeces in order. It is possible to uses latex
	584	math expression. These have to be enclosed in r'', e.g. r'$x^{2}$'
[203]	585
	586	Example:
[485]	587	If the data has two IFs/rest frequencies with index 0 and 1
[203]	588	for CO and SiO:
	589	plotter.set_stacking('i')
[710]	590	plotter.set_legend(['CO','SiO'])
[203]	591	plotter.plot()
[710]	592	plotter.set_legend([r'$^{12}CO$', r'SiO'])
[203]	593	"""
	594	self._lmap = mp
[226]	595	if self._data: self.plot()
	596	return
	597
	598	def set_title(self, title=None):
[710]	599	"""
	600	Set the title of the plot. If multiple panels are plotted,
	601	multiple titles have to be specified.
	602	Example:
	603	# two panels are visible on the plotter
	604	plotter.set_title(["First Panel","Second Panel"])
	605	"""
[226]	606	self._title = title
	607	if self._data: self.plot()
	608	return
	609
[257]	610	def set_ordinate(self, ordinate=None):
[710]	611	"""
	612	Set the y-axis label of the plot. If multiple panels are plotted,
	613	multiple labels have to be specified.
	614	Example:
	615	# two panels are visible on the plotter
	616	plotter.set_ordinate(["First Y-Axis","Second Y-Axis"])
	617	"""
[257]	618	self._ordinate = ordinate
	619	if self._data: self.plot()
	620	return
	621
	622	def set_abcissa(self, abcissa=None):
[710]	623	"""
	624	Set the x-axis label of the plot. If multiple panels are plotted,
	625	multiple labels have to be specified.
	626	Example:
	627	# two panels are visible on the plotter
	628	plotter.set_ordinate(["First X-Axis","Second X-Axis"])
	629	"""
[257]	630	self._abcissa = abcissa
	631	if self._data: self.plot()
	632	return
	633
[710]	634	def set_colors(self, colormap):
[377]	635	"""
[710]	636	Set the colors to be used. The plotter will cycle through
	637	these colors when lines are overlaid (stacking mode).
	638	Example:
	639	plotter.set_colors("red green blue")
	640	# If for example four lines are overlaid e.g I Q U V
	641	# 'I' will be 'red', 'Q' will be 'green', U will be 'blue'
	642	# and 'V' will be 'red' again.
	643	"""
	644	if isinstance(colormap,str):
	645	colormap = colormap.split()
	646	self._plotter.palette(0,colormap=colormap)
	647	if self._data: self.plot()
	648
	649	def set_linestyles(self, linestyles):
	650	"""
[734]	651	Set the linestyles to be used. The plotter will cycle through
	652	these linestyles when lines are overlaid (stacking mode) AND
	653	only one color has been set.
[710]	654	Parameters:
	655	linestyles: a list of linestyles to use.
	656	'line', 'dashed', 'dotted', 'dashdot',
	657	'dashdotdot' and 'dashdashdot' are
	658	possible
	659
	660	Example:
	661	plotter.set_colors("black")
	662	plotter.set_linestyles("line dashed dotted dashdot")
	663	# If for example four lines are overlaid e.g I Q U V
	664	# 'I' will be 'solid', 'Q' will be 'dashed',
	665	# U will be 'dotted' and 'V' will be 'dashdot'.
	666	"""
	667	if isinstance(linestyles,str):
	668	linestyles = linestyles.split()
	669	self._plotter.palette(color=0,linestyle=0,linestyles=linestyles)
	670	if self._data: self.plot()
	671
	672	def save(self, filename=None, orientation=None, dpi=None):
	673	"""
[377]	674	Save the plot to a file. The know formats are 'png', 'ps', 'eps'.
	675	Parameters:
	676	filename: The name of the output file. This is optional
	677	and autodetects the image format from the file
	678	suffix. If non filename is specified a file
	679	called 'yyyymmdd_hhmmss.png' is created in the
	680	current directory.
[709]	681	orientation: optional parameter for postscript only (not eps).
	682	'landscape', 'portrait' or None (default) are valid.
	683	If None is choosen for 'ps' output, the plot is
	684	automatically oriented to fill the page.
[710]	685	dpi: The dpi of the output non-ps plot
[377]	686	"""
[709]	687	self._plotter.save(filename,orientation,dpi)
[377]	688	return
[709]	689
[541]	690	def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True):
[525]	691	"""
	692	Specify a 'cursor' for plotting selected spectra. Time (rows),
	693	Beam, IF, Polarisation ranges can be specified.
	694	Parameters:
	695	Default for all paramaters is to select all available
	696	row: selects the rows (time stamps) to be plotted, this has
	697	to be a vector of row indices, e.g. row=[0,2,5] or row=[2]
	698	beam: select a range of beams
	699	IF: select a range of IFs
	700	pol: select Polarisations for plotting these can be by index
	701	(raw polarisations (default)) or by names any of:
	702	["I", "Q", "U", "V"] or
	703	["I", "Plinear", "Pangle", "V"] or
[541]	704	["XX", "YY", "Real(XY)", "Imag(XY)"] or
	705	["RR", "LL"]
[525]	706	Example:
	707	plotter.set_mode('pol','time')
	708	plotter.plot(myscan) # plots all raw polarisations colour stacked
	709	plotter.set_cursor(pol=["I"]) # plot "I" only for all rows
	710	# plot "I" only for two time stamps row=0 and row=2
	711	plotter.set_cursor(row=[0,2],pol=["I"])
[257]	712
[525]	713	Note:
[709]	714	Be careful to select only exisiting polarisations.
[525]	715	"""
	716	if not self._data:
[753]	717	msg = "Can only set cursor after a first call to plot()"
	718	if rcParams['verbose']:
	719	print msg
	720	return
	721	else:
	722	raise RuntimeError(msg)
[709]	723
[525]	724	n = self._data[0].nrow()
	725	if row is None:
	726	self._cursor["t"] = range(n)
	727	else:
	728	for i in row:
[554]	729	if i < 0 or i >= n:
[753]	730	msg = "Row index '%d' out of range" % i
	731	if rcParams['verbose']:
	732	print msg
[759]	733	return
[753]	734	else:
	735	raise IndexError(msg)
[525]	736	self._cursor["t"] = row
	737
	738	n = self._data[0].nbeam()
	739	if beam is None:
	740	self._cursor["b"] = range(n)
	741	else:
	742	for i in beam:
[554]	743	if i < 0 or i >= n:
[753]	744	msg = "Beam index '%d' out of range" % i
	745	if rcParams['verbose']:
	746	print msg
[759]	747	return
[753]	748	else:
	749	raise IndexError(msg)
	750
[525]	751	self._cursor["b"] = beam
	752
	753	n = self._data[0].nif()
	754	if IF is None:
	755	self._cursor["i"] = range(n)
	756	else:
	757	for i in IF:
[554]	758	if i < 0 or i >= n:
[753]	759	msg = "IF index '%d' out of range" %i
	760	if rcParams['verbose']:
	761	print msg
[759]	762	return
[753]	763	else:
	764	raise IndexError(msg)
[709]	765	self._cursor["i"] = IF
[525]	766
	767	n = self._data[0].npol()
	768	dstokes = {"I":0,"Q":1,"U":2,"V":3}
	769	dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3}
	770	draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3}
[710]	771	dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3}
[709]	772
[525]	773	if pol is None:
	774	self._cursor["p"] = range(n)
	775	self._polmode = ["raw" for i in range(n)]
	776	else:
	777	if isinstance(pol,str):
	778	pol = pol.split()
	779	polmode = []
	780	pols = []
	781	for i in pol:
	782	if isinstance(i,str):
	783	if draw.has_key(i):
	784	pols.append(draw.get(i))
	785	polmode.append("raw")
	786	elif dstokes.has_key(i):
	787	pols.append(dstokes.get(i))
	788	polmode.append("stokes")
	789	elif dstokes2.has_key(i):
	790	pols.append(dstokes2.get(i))
	791	polmode.append("stokes2")
	792	elif dcirc.has_key(i):
	793	pols.append(dcirc.get(i))
[541]	794	polmode.append("circular")
[525]	795	else:
[753]	796	msg = "Pol type '%s' not valid" %i
	797	if rcParams['verbose']:
	798	print msg
[759]	799	return
[753]	800	else:
[759]	801	raise TypeError(msg)
[525]	802	elif 0 > i >= n:
	803	print "Pol index '%d' out of range" %i
[753]	804	if rcParams['verbose']:
	805	print msg
[759]	806	return
[753]	807	else:
[759]	808	raise IndexError(msg)
[525]	809	else:
	810	pols.append(i)
	811	polmode.append("raw")
	812	self._cursor["p"] = pols
	813	self._polmode = polmode
[541]	814	if self._data and refresh: self.plot()
[525]	815
[710]	816	def set_mask(self, mask=None, pol=None):
[734]	817	"""
	818	Set a plotting mask for a specific polarization.
	819	This is useful for masking out "noise" Pangle outside a source.
	820	Parameters:
	821	mask: a mask from scantable.create_mask
	822	pol: the polarisation to apply the mask to, e.g
	823	"Pangle" or "XX" etc.
	824	Example:
	825	"""
[710]	826	if not self._data:
[753]	827	msg = "Can only set cursor after a first call to plot()"
	828	if rcParams['verbose']:
	829	print msg
[759]	830	return
[753]	831	else:
[759]	832	raise RuntimeError(msg)
[710]	833	if isinstance(mask, array):
	834	self._usermask = mask
	835	if isinstance(mask, list):
	836	self._usermask = array(mask)
	837	if mask is None and pol is None:
	838	self._usermask = None
	839	self._usermaskspectra = None
	840
	841	dstokes = {"I":0,"Q":1,"U":2,"V":3}
	842	dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3}
	843	draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3}
	844	dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3}
	845	if isinstance(pol, str):
	846	pol = pol.split()
	847	if isinstance(pol, list):
	848	if isinstance(pol[0], str):
	849	pass
	850	else:
	851	cpos = self._cursor[self._stacking]
	852	self._usermaskspectra =filter(lambda i: filter(lambda j: j==i ,cpos),pol)
	853	else:
	854	return
	855	self.plot()
	856
[603]	857	def _get_pollabel(self, scan, polmode):
	858	tlab = ""
	859	if polmode == "stokes":
	860	tlab = scan._getpolarizationlabel(0,1,0)
	861	elif polmode == "stokes2":
	862	tlab = scan._getpolarizationlabel(0,1,1)
	863	elif polmode == "circular":
	864	tlab = scan._getpolarizationlabel(0,0,0)
	865	else:
	866	tlab = scan._getpolarizationlabel(1,0,0)
	867	return tlab
[709]	868
	869	def _slice_indeces(self, data):
	870	mn = self._minmaxx[0]
	871	mx = self._minmaxx[1]
	872	asc = data[0] < data[-1]
	873	start=0
	874	end = len(data)-1
	875	inc = 1
	876	if not asc:
	877	start = len(data)-1
	878	end = 0
	879	inc = -1
	880	# find min index
	881	while data[start] < mn:
	882	start+= inc
	883	# find max index
	884	while data[end] > mx:
	885	end-=inc
	886	end +=1
	887	if start > end:
	888	return end,start
	889	return start,end
	890
[710]	891	def _reset(self):
	892	self._usermask = None
	893	self._usermaskspectra = None
	894	self.set_cursor(refresh=False)

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