Context Navigation

source: trunk/python/asapplotter.py@ 627

Visit:

Last change on this file since 627 was 626, checked in by mar637, 19 years ago
fix for asap0019 from Release-1
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
File size: 23.8 KB

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

Note: See TracBrowser for help on using the repository browser.

Download in other formats: