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source: trunk/python/asapplotter.py@ 542

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

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