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asapplotter.py@ 2929

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Last change on this file since 2929 was 2927, checked in by Takeshi Nakazato, 11 years ago

New Development: No

JIRA Issue: Yes CAS-5870

Ready for Test: Yes

Interface Changes: Yes/No

What Interface Changed: Please list interface changes

Test Programs: test_tsdplot

Put in Release Notes: Yes/No

Module(s): Module Names change impacts.

Description: Describe your changes here...

Fix for printing selection string in the plotter panel.
'$' is replaced with '\$' to avoid an error due to parsing
string into Latex math expression.

Property svn:eol-style set to native
Property svn:keywords set to Author Date Id Revision

File size: 77.6 KB

Rev	Line
[1824]	1	from asap.parameters import rcParams
	2	from asap.selector import selector
	3	from asap.scantable import scantable
[1862]	4	from asap.logging import asaplog, asaplog_post_dec
[1153]	5	import matplotlib.axes
[1556]	6	from matplotlib.font_manager import FontProperties
	7	from matplotlib.text import Text
[2535]	8	from matplotlib import _pylab_helpers
[1556]	9
[1317]	10	import re
[203]	11
[2150]	12	def new_asaplot(visible=None,**kwargs):
	13	"""
	14	Returns a new asaplot instance based on the backend settings.
	15	"""
	16	if visible == None:
	17	visible = rcParams['plotter.gui']
	18
	19	backend=matplotlib.get_backend()
	20	if not visible:
	21	from asap.asaplot import asaplot
	22	elif backend == 'TkAgg':
	23	from asap.asaplotgui import asaplotgui as asaplot
	24	elif backend == 'Qt4Agg':
	25	from asap.asaplotgui_qt4 import asaplotgui as asaplot
	26	elif backend == 'GTkAgg':
	27	from asap.asaplotgui_gtk import asaplotgui as asaplot
	28	else:
	29	from asap.asaplot import asaplot
	30	return asaplot(**kwargs)
	31
[203]	32	class asapplotter:
[226]	33	"""
	34	The ASAP plotter.
	35	By default the plotter is set up to plot polarisations
	36	'colour stacked' and scantables across panels.
[1858]	37
	38	.. note::
	39
[226]	40	Currenly it only plots 'spectra' not Tsys or
	41	other variables.
[1858]	42
[226]	43	"""
[1563]	44	def __init__(self, visible=None , **kwargs):
[734]	45	self._visible = rcParams['plotter.gui']
	46	if visible is not None:
	47	self._visible = visible
[2451]	48	self._plotter = None
	49	self._inikwg = kwargs
[710]	50
[2699]	51	### plot settings
[2698]	52	self._colormap = None
	53	self._linestyles = None
	54	self._fp = FontProperties()
	55	self._rows = None
	56	self._cols = None
	57	self._minmaxx = None
	58	self._minmaxy = None
	59	self._margins = self.set_margin(refresh=False)
	60	self._legendloc = None
[2699]	61	### scantable plot settings
[2704]	62	self._plotmode = "spectra"
[554]	63	self._panelling = None
	64	self._stacking = None
	65	self.set_panelling()
	66	self.set_stacking()
[2698]	67	self._hist = rcParams['plotter.histogram']
[2699]	68	### scantable dependent settings
[203]	69	self._data = None
[2698]	70	self._abcunit = None
	71	self._headtext = {'string': None, 'textobj': None}
	72	self._selection = selector()
	73	self._usermask = []
	74	self._maskselection = None
	75	self._offset = None
[607]	76	self._lmap = None
[226]	77	self._title = None
[257]	78	self._ordinate = None
	79	self._abcissa = None
[2699]	80	### cursors for page iteration
[1981]	81	self._startrow = 0
	82	self._ipanel = -1
	83	self._panelrows = []
[1023]	84
[920]	85	def _translate(self, instr):
[1910]	86	keys = "s b i p t r".split()
[920]	87	if isinstance(instr, str):
	88	for key in keys:
	89	if instr.lower().startswith(key):
	90	return key
	91	return None
	92
[2535]	93	@asaplog_post_dec
[2451]	94	def _reload_plotter(self):
	95	if self._plotter is not None:
[2535]	96	#if not self._plotter.is_dead:
	97	# # clear lines and axes
	98	# try:
	99	# self._plotter.clear()
	100	# except: # Can't remove when already killed.
	101	# pass
[2451]	102	if self.casabar_exists():
	103	del self._plotter.figmgr.casabar
	104	self._plotter.quit()
	105	del self._plotter
[2535]	106	asaplog.push('Loading new plotter')
[2451]	107	self._plotter = new_asaplot(self._visible,**self._inikwg)
	108	self._plotter.figmgr.casabar=self._new_custombar()
	109	# just to make sure they're set
	110	self._plotter.palette(color=0,colormap=self._colormap,
	111	linestyle=0,linestyles=self._linestyles)
	112	self._plotter.legend(self._legendloc)
[710]	113
[2714]	114	### TODO: it's probably better to define following two methods in
	115	### backend dependent class.
[2173]	116	def _new_custombar(self):
[1819]	117	backend=matplotlib.get_backend()
[2168]	118	if not self._visible:
	119	return None
	120	elif backend == "TkAgg":
[2155]	121	from asap.customgui_tkagg import CustomToolbarTkAgg
[1819]	122	return CustomToolbarTkAgg(self)
[2168]	123	elif backend == "Qt4Agg":
	124	from asap.customgui_qt4agg import CustomToolbarQT4Agg
	125	return CustomToolbarQT4Agg(self)
[1995]	126	return None
[1819]	127
[2147]	128	def casabar_exists(self):
	129	if not hasattr(self._plotter.figmgr,'casabar'):
	130	return False
	131	elif self._plotter.figmgr.casabar:
	132	return True
	133	return False
[2714]	134	### end of TODO
[2147]	135
[2453]	136	def _assert_plotter(self,action="status",errmsg=None):
[2451]	137	"""
[2453]	138	Check plot window status. Returns True if plot window is alive.
[2451]	139	Parameters
[2453]	140	action: An action to take if the plotter window is not alive.
	141	['status'\|'reload'\|'halt']
	142	The action 'status' simply returns False if asaplot
	143	is not alive. When action='reload', plot window is
	144	reloaded and the method returns True. Finally, an
	145	error is raised when action='halt'.
[2451]	146	errmsg: An error (warning) message to send to the logger,
[2453]	147	when plot window is not alive.
[2451]	148	"""
[2538]	149	isAlive = (self._plotter is not None) and self._plotter._alive()
[2535]	150	# More tests
[2538]	151	#if isAlive:
	152	# if self._plotter.figmgr:
	153	# figmgr = self._plotter.figmgr
	154	# figid = figmgr.num
	155	# # Make sure figid=0 is what asapplotter expects.
	156	# # It might be already destroied/overridden by matplotlib
	157	# # commands or other plotting methods using asaplot.
	158	# isAlive = _pylab_helpers.Gcf.has_fignum(figid) and \
	159	# (figmgr == \
	160	# _pylab_helpers.Gcf.get_fig_manager(figid))
	161	# else:
	162	# isAlive = False
[2535]	163
	164	if isAlive:
[2451]	165	return True
	166	# Plotter is not alive.
	167	haltmsg = "Plotter window has not yet been loaded or is closed."
	168	if type(errmsg)==str and len(errmsg) > 0:
	169	haltmsg = errmsg
	170
[2453]	171	if action.upper().startswith("R"):
[2451]	172	# reload plotter
	173	self._reload_plotter()
	174	return True
[2453]	175	elif action.upper().startswith("H"):
[2451]	176	# halt
	177	asaplog.push(haltmsg)
	178	asaplog.post("ERROR")
	179	raise RuntimeError(haltmsg)
	180	else:
	181	if errmsg:
	182	asaplog.push(errmsg)
	183	asaplog.post("WARN")
	184	return False
	185
	186
[1572]	187	def gca(self):
[2451]	188	errmsg = "No axis to retun. Need to plot first."
[2453]	189	if not self._assert_plotter(action="status",errmsg=errmsg):
[2451]	190	return None
[1572]	191	return self._plotter.figure.gca()
	192
[1550]	193	def refresh(self):
[1572]	194	"""Do a soft refresh"""
[2451]	195	errmsg = "No figure to re-plot. Need to plot first."
[2453]	196	self._assert_plotter(action="halt",errmsg=errmsg)
[2451]	197
[1550]	198	self._plotter.figure.show()
	199
[2698]	200	def save(self, filename=None, orientation=None, dpi=None):
	201	"""
	202	Save the plot to a file. The known formats are 'png', 'ps', 'eps'.
	203	Parameters:
	204	filename: The name of the output file. This is optional
	205	and autodetects the image format from the file
	206	suffix. If non filename is specified a file
	207	called 'yyyymmdd_hhmmss.png' is created in the
	208	current directory.
	209	orientation: optional parameter for postscript only (not eps).
	210	'landscape', 'portrait' or None (default) are valid.
	211	If None is choosen for 'ps' output, the plot is
	212	automatically oriented to fill the page.
	213	dpi: The dpi of the output non-ps plot
	214	"""
	215	errmsg = "Cannot save figure. Need to plot first."
	216	self._assert_plotter(action="halt",errmsg=errmsg)
	217
	218	self._plotter.save(filename,orientation,dpi)
	219	return
	220
[1555]	221	def create_mask(self, nwin=1, panel=0, color=None):
[1597]	222	"""
[1927]	223	Interactively define a mask. It retruns a mask that is equivalent to
[1597]	224	the one created manually with scantable.create_mask.
	225	Parameters:
	226	nwin: The number of mask windows to create interactively
	227	default is 1.
	228	panel: Which panel to use for mask selection. This is useful
	229	if different IFs are spread over panels (default 0)
	230	"""
[2451]	231	## this method relies on already plotted figure
[2453]	232	if not self._assert_plotter(action="status") or (self._data is None):
[2451]	233	msg = "Cannot create mask interactively on plot. Can only create mask after plotting."
	234	asaplog.push( msg )
	235	asaplog.post( "ERROR" )
[1555]	236	return []
[1547]	237	outmask = []
[1549]	238	self._plotter.subplot(panel)
	239	xmin, xmax = self._plotter.axes.get_xlim()
[1548]	240	marg = 0.05*(xmax-xmin)
[1549]	241	self._plotter.axes.set_xlim(xmin-marg, xmax+marg)
[1550]	242	self.refresh()
[1695]	243
[1555]	244	def cleanup(lines=False, texts=False, refresh=False):
	245	if lines:
	246	del self._plotter.axes.lines[-1]
	247	if texts:
	248	del self._plotter.axes.texts[-1]
	249	if refresh:
	250	self.refresh()
	251
	252	for w in xrange(nwin):
[1547]	253	wpos = []
[1695]	254	self.text(0.05,1.0, "Add start boundary",
[1555]	255	coords="relative", fontsize=10)
	256	point = self._plotter.get_point()
	257	cleanup(texts=True)
	258	if point is None:
	259	continue
	260	wpos.append(point[0])
[1695]	261	self.axvline(wpos[0], color=color)
[1551]	262	self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10)
[1555]	263	point = self._plotter.get_point()
	264	cleanup(texts=True, lines=True)
	265	if point is None:
	266	self.refresh()
	267	continue
	268	wpos.append(point[0])
	269	self.axvspan(wpos[0], wpos[1], alpha=0.1,
	270	edgecolor=color, facecolor=color)
	271	ymin, ymax = self._plotter.axes.get_ylim()
[1547]	272	outmask.append(wpos)
[1153]	273
[1555]	274	self._plotter.axes.set_xlim(xmin, xmax)
	275	self.refresh()
	276	if len(outmask) > 0:
	277	return self._data.create_mask(*outmask)
	278	return []
	279
[2699]	280
[2714]	281	### Forwards to methods in matplotlib axes ###
[1153]	282	def text(self, args, *kwargs):
[2453]	283	self._assert_plotter(action="reload")
[1547]	284	if kwargs.has_key("interactive"):
	285	if kwargs.pop("interactive"):
	286	pos = self._plotter.get_point()
	287	args = tuple(pos)+args
[1153]	288	self._axes_callback("text", args, *kwargs)
[1547]	289
[1358]	290	text.__doc__ = matplotlib.axes.Axes.text.__doc__
[1559]	291
[1153]	292	def arrow(self, args, *kwargs):
[2453]	293	self._assert_plotter(action="reload")
[1547]	294	if kwargs.has_key("interactive"):
	295	if kwargs.pop("interactive"):
	296	pos = self._plotter.get_region()
	297	dpos = (pos[0][0], pos[0][1],
	298	pos[1][0]-pos[0][0],
	299	pos[1][1] - pos[0][1])
	300	args = dpos + args
[1153]	301	self._axes_callback("arrow", args, *kwargs)
[1547]	302
[1358]	303	arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__
[1559]	304
	305	def annotate(self, text, xy=None, xytext=None, **kwargs):
[2453]	306	self._assert_plotter(action="reload")
[1559]	307	if kwargs.has_key("interactive"):
	308	if kwargs.pop("interactive"):
	309	xy = self._plotter.get_point()
	310	xytext = self._plotter.get_point()
	311	if not kwargs.has_key("arrowprops"):
	312	kwargs["arrowprops"] = dict(arrowstyle="->")
	313	self._axes_callback("annotate", text, xy, xytext, **kwargs)
	314
	315	annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__
	316
[1153]	317	def axvline(self, args, *kwargs):
[2453]	318	self._assert_plotter(action="reload")
[1547]	319	if kwargs.has_key("interactive"):
	320	if kwargs.pop("interactive"):
	321	pos = self._plotter.get_point()
	322	args = (pos[0],)+args
[1153]	323	self._axes_callback("axvline", args, *kwargs)
[1559]	324
[1358]	325	axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__
[1547]	326
[1153]	327	def axhline(self, args, *kwargs):
[2453]	328	self._assert_plotter(action="reload")
[1547]	329	if kwargs.has_key("interactive"):
	330	if kwargs.pop("interactive"):
	331	pos = self._plotter.get_point()
	332	args = (pos[1],)+args
[1153]	333	self._axes_callback("axhline", args, *kwargs)
[1559]	334
[1358]	335	axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__
[1547]	336
[1153]	337	def axvspan(self, args, *kwargs):
[2453]	338	self._assert_plotter(action="reload")
[1547]	339	if kwargs.has_key("interactive"):
	340	if kwargs.pop("interactive"):
	341	pos = self._plotter.get_region()
	342	dpos = (pos[0][0], pos[1][0])
	343	args = dpos + args
[1153]	344	self._axes_callback("axvspan", args, *kwargs)
	345	# hack to preventy mpl from redrawing the patch
	346	# it seem to convert the patch into lines on every draw.
	347	# This doesn't happen in a test script???
[1547]	348	#del self._plotter.axes.patches[-1]
	349
[1358]	350	axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__
[1232]	351
[1153]	352	def axhspan(self, args, *kwargs):
[2453]	353	self._assert_plotter(action="reload")
[1547]	354	if kwargs.has_key("interactive"):
	355	if kwargs.pop("interactive"):
	356	pos = self._plotter.get_region()
	357	dpos = (pos[0][1], pos[1][1])
	358	args = dpos + args
[1232]	359	self._axes_callback("axhspan", args, *kwargs)
[1153]	360	# hack to preventy mpl from redrawing the patch
	361	# it seem to convert the patch into lines on every draw.
	362	# This doesn't happen in a test script???
[1547]	363	#del self._plotter.axes.patches[-1]
[1559]	364
[1358]	365	axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__
[1153]	366
	367	def _axes_callback(self, axesfunc, args, *kwargs):
[2453]	368	self._assert_plotter(action="reload")
[1153]	369	panel = 0
	370	if kwargs.has_key("panel"):
	371	panel = kwargs.pop("panel")
	372	coords = None
	373	if kwargs.has_key("coords"):
	374	coords = kwargs.pop("coords")
	375	if coords.lower() == 'world':
	376	kwargs["transform"] = self._plotter.axes.transData
	377	elif coords.lower() == 'relative':
	378	kwargs["transform"] = self._plotter.axes.transAxes
	379	self._plotter.subplot(panel)
	380	self._plotter.axes.set_autoscale_on(False)
	381	getattr(self._plotter.axes, axesfunc)(args, *kwargs)
	382	self._plotter.show(False)
	383	self._plotter.axes.set_autoscale_on(True)
	384	# end matplotlib.axes fowarding functions
	385
[2699]	386
	387	### Forwards to matplotlib.Figure.text ###
[2698]	388	def figtext(self, args, *kwargs):
	389	"""
	390	Add text to figure at location x,y (relative 0-1 coords).
	391	This method forwards args and *kwargs to a Matplotlib method,
	392	matplotlib.Figure.text.
	393	See the method help for detailed information.
	394	"""
	395	self._assert_plotter(action="reload")
	396	self._plotter.text(args, *kwargs)
	397	# end matplotlib.Figure.text forwarding function
	398
[2699]	399
	400	### Set Plot parameters ###
[1862]	401	@asaplog_post_dec
[1819]	402	def set_data(self, scan, refresh=True):
	403	"""
[1824]	404	Set a scantable to plot.
[1819]	405	Parameters:
	406	scan: a scantable
	407	refresh: True (default) or False. If True, the plot is
[1824]	408	replotted based on the new parameter setting(s).
[1819]	409	Otherwise,the parameter(s) are set without replotting.
	410	Note:
	411	The user specified masks and data selections will be reset
	412	if a new scantable is set. This method should be called before
[1824]	413	setting data selections (set_selection) and/or masks (set_mask).
[1819]	414	"""
	415	from asap import scantable
	416	if isinstance(scan, scantable):
[2604]	417	if (self._data is not None) and (scan != self._data):
	418	del self._data
	419	msg = "A new scantable is set to the plotter. "\
[2714]	420	"The masks, data selections, and labels are reset."
	421	asaplog.push(msg)
[2604]	422	self._data = scan
	423	# reset
	424	self._reset()
[1819]	425	else:
	426	msg = "Input is not a scantable"
	427	raise TypeError(msg)
[1547]	428
[1819]	429	# ranges become invalid when unit changes
	430	if self._abcunit and self._abcunit != self._data.get_unit():
	431	self._minmaxx = None
	432	self._minmaxy = None
	433	self._abcunit = self._data.get_unit()
	434	if refresh: self.plot()
	435
[1862]	436	@asaplog_post_dec
[1819]	437	def set_mode(self, stacking=None, panelling=None, refresh=True):
[203]	438	"""
[377]	439	Set the plots look and feel, i.e. what you want to see on the plot.
[203]	440	Parameters:
	441	stacking: tell the plotter which variable to plot
[1217]	442	as line colour overlays (default 'pol')
[203]	443	panelling: tell the plotter which variable to plot
	444	across multiple panels (default 'scan'
[1819]	445	refresh: True (default) or False. If True, the plot is
[1824]	446	replotted based on the new parameter setting(s).
[1819]	447	Otherwise,the parameter(s) are set without replotting.
[203]	448	Note:
	449	Valid modes are:
	450	'beam' 'Beam' 'b': Beams
	451	'if' 'IF' 'i': IFs
	452	'pol' 'Pol' 'p': Polarisations
	453	'scan' 'Scan' 's': Scans
	454	'time' 'Time' 't': Times
[1989]	455	'row' 'Row' 'r': Rows
	456	When either 'stacking' or 'panelling' is set to 'row',
	457	the other parameter setting is ignored.
[203]	458	"""
[753]	459	msg = "Invalid mode"
	460	if not self.set_panelling(panelling) or \
	461	not self.set_stacking(stacking):
[1859]	462	raise TypeError(msg)
[1989]	463	#if self._panelling == 'r':
	464	# self._stacking = '_r'
	465	#if self._stacking == 'r':
	466	# self._panelling = '_r'
[1819]	467	if refresh and self._data: self.plot(self._data)
[203]	468	return
	469
[2698]	470	def set_stacking(self, what=None):
	471	"""Set the 'stacking' mode i.e. which type of spectra should be
	472	overlayed.
	473	"""
	474	mode = what
	475	if mode is None:
	476	mode = rcParams['plotter.stacking']
	477	md = self._translate(mode)
	478	if md:
	479	self._stacking = md
	480	self._lmap = None
	481	# new mode is set. need to reset counters for multi page plotting
	482	self._reset_counters()
	483	return True
	484	return False
	485
[554]	486	def set_panelling(self, what=None):
[1858]	487	"""Set the 'panelling' mode i.e. which type of spectra should be
	488	spread across different panels.
	489	"""
	490
[554]	491	mode = what
	492	if mode is None:
	493	mode = rcParams['plotter.panelling']
	494	md = self._translate(mode)
[203]	495	if md:
[554]	496	self._panelling = md
[226]	497	self._title = None
[2698]	498	# new mode is set. need to reset counters for multi page plotting
[1981]	499	self._reset_counters()
[203]	500	return True
	501	return False
	502
[1819]	503	def set_layout(self,rows=None,cols=None,refresh=True):
[377]	504	"""
	505	Set the multi-panel layout, i.e. how many rows and columns plots
	506	are visible.
	507	Parameters:
	508	rows: The number of rows of plots
	509	cols: The number of columns of plots
[1819]	510	refresh: True (default) or False. If True, the plot is
[1824]	511	replotted based on the new parameter setting(s).
[1819]	512	Otherwise,the parameter(s) are set without replotting.
[377]	513	Note:
	514	If no argument is given, the potter reverts to its auto-plot
	515	behaviour.
	516	"""
	517	self._rows = rows
	518	self._cols = cols
[2715]	519	# new layout is set. need to reset counters for multi page plotting
	520	self._reset_counters()
[1819]	521	if refresh and self._data: self.plot(self._data)
[377]	522	return
	523
[1897]	524	def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None):
[203]	525	"""
	526	Set the range of interest on the abcissa of the plot
	527	Parameters:
[525]	528	[x,y]start,[x,y]end: The start and end points of the 'zoom' window
[1819]	529	refresh: True (default) or False. If True, the plot is
[1824]	530	replotted based on the new parameter setting(s).
[1819]	531	Otherwise,the parameter(s) are set without replotting.
[1897]	532	offset: shift the abcissa by the given amount. The abcissa label will
	533	have '(relative)' appended to it.
[203]	534	Note:
	535	These become non-sensical when the unit changes.
	536	use plotter.set_range() without parameters to reset
	537
	538	"""
[1897]	539	self._offset = offset
[525]	540	if xstart is None and xend is None:
	541	self._minmaxx = None
[600]	542	else:
	543	self._minmaxx = [xstart,xend]
[525]	544	if ystart is None and yend is None:
	545	self._minmaxy = None
[600]	546	else:
[709]	547	self._minmaxy = [ystart,yend]
[1819]	548	if refresh and self._data: self.plot(self._data)
[203]	549	return
[709]	550
[1819]	551	def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True):
[203]	552	"""
	553	Specify a mapping for the legend instead of using the default
	554	indices:
	555	Parameters:
[1101]	556	mp: a list of 'strings'. This should have the same length
	557	as the number of elements on the legend and then maps
	558	to the indeces in order. It is possible to uses latex
	559	math expression. These have to be enclosed in r'',
	560	e.g. r'$x^{2}$'
	561	fontsize: The font size of the label (default None)
	562	mode: where to display the legend
	563	Any other value for loc else disables the legend:
[1096]	564	0: auto
	565	1: upper right
	566	2: upper left
	567	3: lower left
	568	4: lower right
	569	5: right
	570	6: center left
	571	7: center right
	572	8: lower center
	573	9: upper center
	574	10: center
[1819]	575	refresh: True (default) or False. If True, the plot is
[1824]	576	replotted based on the new parameter setting(s).
[1819]	577	Otherwise,the parameter(s) are set without replotting.
[203]	578
	579	Example:
[485]	580	If the data has two IFs/rest frequencies with index 0 and 1
[203]	581	for CO and SiO:
	582	plotter.set_stacking('i')
[710]	583	plotter.set_legend(['CO','SiO'])
[203]	584	plotter.plot()
[710]	585	plotter.set_legend([r'$^{12}CO$', r'SiO'])
[203]	586	"""
	587	self._lmap = mp
[2451]	588	#self._plotter.legend(mode)
	589	self._legendloc = mode
[1101]	590	if isinstance(fontsize, int):
	591	from matplotlib import rc as rcp
	592	rcp('legend', fontsize=fontsize)
[1819]	593	if refresh and self._data: self.plot(self._data)
[226]	594	return
	595
[1819]	596	def set_title(self, title=None, fontsize=None, refresh=True):
[710]	597	"""
[2451]	598	Set the title of sub-plots. If multiple sub-plots are plotted,
[710]	599	multiple titles have to be specified.
[1819]	600	Parameters:
[2451]	601	title: a list of titles of sub-plots.
	602	fontsize: a font size of titles (integer)
[1819]	603	refresh: True (default) or False. If True, the plot is
[1824]	604	replotted based on the new parameter setting(s).
[1819]	605	Otherwise,the parameter(s) are set without replotting.
[710]	606	Example:
	607	# two panels are visible on the plotter
[2451]	608	plotter.set_title(['First Panel','Second Panel'])
[710]	609	"""
[226]	610	self._title = title
[1101]	611	if isinstance(fontsize, int):
	612	from matplotlib import rc as rcp
	613	rcp('axes', titlesize=fontsize)
[1819]	614	if refresh and self._data: self.plot(self._data)
[226]	615	return
	616
[1819]	617	def set_ordinate(self, ordinate=None, fontsize=None, refresh=True):
[710]	618	"""
	619	Set the y-axis label of the plot. If multiple panels are plotted,
	620	multiple labels have to be specified.
[1021]	621	Parameters:
	622	ordinate: a list of ordinate labels. None (default) let
	623	data determine the labels
[2451]	624	fontsize: a font size of vertical axis labels (integer)
[1819]	625	refresh: True (default) or False. If True, the plot is
[1824]	626	replotted based on the new parameter setting(s).
[1819]	627	Otherwise,the parameter(s) are set without replotting.
[710]	628	Example:
	629	# two panels are visible on the plotter
[2451]	630	plotter.set_ordinate(['First Y-Axis','Second Y-Axis'])
[710]	631	"""
[257]	632	self._ordinate = ordinate
[1101]	633	if isinstance(fontsize, int):
	634	from matplotlib import rc as rcp
	635	rcp('axes', labelsize=fontsize)
	636	rcp('ytick', labelsize=fontsize)
[1819]	637	if refresh and self._data: self.plot(self._data)
[257]	638	return
	639
[1819]	640	def set_abcissa(self, abcissa=None, fontsize=None, refresh=True):
[710]	641	"""
	642	Set the x-axis label of the plot. If multiple panels are plotted,
	643	multiple labels have to be specified.
[1021]	644	Parameters:
	645	abcissa: a list of abcissa labels. None (default) let
	646	data determine the labels
[2451]	647	fontsize: a font size of horizontal axis labels (integer)
[1819]	648	refresh: True (default) or False. If True, the plot is
[1824]	649	replotted based on the new parameter setting(s).
[1819]	650	Otherwise,the parameter(s) are set without replotting.
[710]	651	Example:
	652	# two panels are visible on the plotter
[2451]	653	plotter.set_ordinate(['First X-Axis','Second X-Axis'])
[710]	654	"""
[257]	655	self._abcissa = abcissa
[1101]	656	if isinstance(fontsize, int):
	657	from matplotlib import rc as rcp
	658	rcp('axes', labelsize=fontsize)
	659	rcp('xtick', labelsize=fontsize)
[1819]	660	if refresh and self._data: self.plot(self._data)
[257]	661	return
	662
[2700]	663	def set_histogram(self, hist=True, linewidth=None, refresh=True):
	664	"""
	665	Enable/Disable histogram-like plotting.
	666	Parameters:
	667	hist: True (default) or False. The fisrt default
	668	is taken from the .asaprc setting
	669	plotter.histogram
	670	linewidth: a line width
	671	refresh: True (default) or False. If True, the plot is
	672	replotted based on the new parameter setting(s).
	673	Otherwise,the parameter(s) are set without replotting.
	674	"""
	675	self._hist = hist
	676	if isinstance(linewidth, float) or isinstance(linewidth, int):
	677	from matplotlib import rc as rcp
	678	rcp('lines', linewidth=linewidth)
	679	if refresh and self._data: self.plot(self._data)
	680
[1819]	681	def set_colors(self, colmap, refresh=True):
[377]	682	"""
[1217]	683	Set the colours to be used. The plotter will cycle through
	684	these colours when lines are overlaid (stacking mode).
[1021]	685	Parameters:
[1217]	686	colmap: a list of colour names
[1819]	687	refresh: True (default) or False. If True, the plot is
[1824]	688	replotted based on the new parameter setting(s).
[1819]	689	Otherwise,the parameter(s) are set without replotting.
[710]	690	Example:
[2451]	691	plotter.set_colors('red green blue')
[710]	692	# If for example four lines are overlaid e.g I Q U V
	693	# 'I' will be 'red', 'Q' will be 'green', U will be 'blue'
	694	# and 'V' will be 'red' again.
	695	"""
[2451]	696	#if isinstance(colmap,str):
	697	# colmap = colmap.split()
	698	#self._plotter.palette(0, colormap=colmap)
	699	self._colormap = colmap
[1819]	700	if refresh and self._data: self.plot(self._data)
[710]	701
[1217]	702	# alias for english speakers
	703	set_colours = set_colors
	704
[1819]	705	def set_linestyles(self, linestyles=None, linewidth=None, refresh=True):
[710]	706	"""
[734]	707	Set the linestyles to be used. The plotter will cycle through
	708	these linestyles when lines are overlaid (stacking mode) AND
	709	only one color has been set.
[710]	710	Parameters:
[2451]	711	linestyles: a list of linestyles to use.
[710]	712	'line', 'dashed', 'dotted', 'dashdot',
	713	'dashdotdot' and 'dashdashdot' are
	714	possible
[2451]	715	linewidth: a line width
[1819]	716	refresh: True (default) or False. If True, the plot is
[1824]	717	replotted based on the new parameter setting(s).
[1819]	718	Otherwise,the parameter(s) are set without replotting.
[710]	719	Example:
[2451]	720	plotter.set_colors('black')
	721	plotter.set_linestyles('line dashed dotted dashdot')
[710]	722	# If for example four lines are overlaid e.g I Q U V
	723	# 'I' will be 'solid', 'Q' will be 'dashed',
	724	# U will be 'dotted' and 'V' will be 'dashdot'.
	725	"""
[2451]	726	#if isinstance(linestyles,str):
	727	# linestyles = linestyles.split()
	728	#self._plotter.palette(color=0,linestyle=0,linestyles=linestyles)
	729	self._linestyles = linestyles
[1101]	730	if isinstance(linewidth, float) or isinstance(linewidth, int):
	731	from matplotlib import rc as rcp
	732	rcp('lines', linewidth=linewidth)
[1819]	733	if refresh and self._data: self.plot(self._data)
[710]	734
[1819]	735	def set_font(self, refresh=True,**kwargs):
[1101]	736	"""
	737	Set font properties.
	738	Parameters:
	739	family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace'
	740	style: one of 'normal' (or 'roman'), 'italic' or 'oblique'
	741	weight: one of 'normal or 'bold'
	742	size: the 'general' font size, individual elements can be adjusted
	743	seperately
[1819]	744	refresh: True (default) or False. If True, the plot is
[1824]	745	replotted based on the new parameter setting(s).
[1819]	746	Otherwise,the parameter(s) are set without replotting.
[1101]	747	"""
	748	from matplotlib import rc as rcp
[1547]	749	fdict = {}
	750	for k,v in kwargs.iteritems():
	751	if v:
	752	fdict[k] = v
[1556]	753	self._fp = FontProperties(**fdict)
[1819]	754	if refresh and self._data: self.plot(self._data)
[1101]	755
[2037]	756	def set_margin(self,margin=[],refresh=True):
[1819]	757	"""
[2037]	758	Set margins between subplots and plot edges.
[1819]	759	Parameters:
[2037]	760	margin: a list of margins in figure coordinate (0-1),
[1824]	761	i.e., fraction of the figure width or height.
[1819]	762	The order of elements should be:
	763	[left, bottom, right, top, horizontal space btw panels,
[1824]	764	vertical space btw panels].
[1819]	765	refresh: True (default) or False. If True, the plot is
[1824]	766	replotted based on the new parameter setting(s).
[1819]	767	Otherwise,the parameter(s) are set without replotting.
	768	Note
[2037]	769	* When margin is not specified, the values are reset to the defaults
[1819]	770	of matplotlib.
[1824]	771	* If any element is set to be None, the current value is adopted.
[1819]	772	"""
[2037]	773	if margin == []: self._margins=self._reset_margin()
[1824]	774	else:
[2037]	775	self._margins=[None]*6
	776	self._margins[0:len(margin)]=margin
	777	#print "panel margin set to ",self._margins
[1819]	778	if refresh and self._data: self.plot(self._data)
	779
[2037]	780	def _reset_margin(self):
[1819]	781	ks=map(lambda x: 'figure.subplot.'+x,
	782	['left','bottom','right','top','hspace','wspace'])
	783	return map(matplotlib.rcParams.get,ks)
	784
[1259]	785	def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0,
[1146]	786	location=None):
	787	"""
[1158]	788	Plot a line catalog.
	789	Parameters:
	790	linecat: the linecatalog to plot
[1168]	791	doppler: the velocity shift to apply to the frequencies
[1158]	792	deltachan: the number of channels to include each side of the
	793	line to determine a local maximum/minimum
[1927]	794	rotate: the rotation (in degrees) for the text label (default 90.0)
[1158]	795	location: the location of the line annotation from the 'top',
	796	'bottom' or alternate (None - the default)
[1165]	797	Notes:
	798	If the spectrum is flagged no line will be drawn in that location.
[1146]	799	"""
[2451]	800	errmsg = "Cannot plot spectral lines. Need to plot scantable first."
[2453]	801	self._assert_plotter(action="halt",errmsg=errmsg)
[1259]	802	if not self._data:
	803	raise RuntimeError("No scantable has been plotted yet.")
[1146]	804	from asap._asap import linecatalog
[1259]	805	if not isinstance(linecat, linecatalog):
	806	raise ValueError("'linecat' isn't of type linecatalog.")
	807	if not self._data.get_unit().endswith("Hz"):
	808	raise RuntimeError("Can only overlay linecatalogs when data is in frequency.")
[1739]	809	from numpy import ma
[1146]	810	for j in range(len(self._plotter.subplots)):
	811	self._plotter.subplot(j)
	812	lims = self._plotter.axes.get_xlim()
[1153]	813	for row in range(linecat.nrow()):
[1259]	814	# get_frequency returns MHz
	815	base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 }
	816	restf = linecat.get_frequency(row)/base[self._data.get_unit()]
[1165]	817	c = 299792.458
[1174]	818	freq = restf*(1.0-doppler/c)
[1146]	819	if lims[0] < freq < lims[1]:
	820	if location is None:
	821	loc = 'bottom'
[1153]	822	if row%2: loc='top'
[1146]	823	else: loc = location
[1153]	824	maxys = []
	825	for line in self._plotter.axes.lines:
	826	v = line._x
	827	asc = v[0] < v[-1]
	828
	829	idx = None
	830	if not asc:
	831	if v[len(v)-1] <= freq <= v[0]:
	832	i = len(v)-1
	833	while i>=0 and v[i] < freq:
	834	idx = i
	835	i-=1
	836	else:
	837	if v[0] <= freq <= v[len(v)-1]:
	838	i = 0
	839	while i<len(v) and v[i] < freq:
	840	idx = i
	841	i+=1
	842	if idx is not None:
	843	lower = idx - deltachan
	844	upper = idx + deltachan
	845	if lower < 0: lower = 0
	846	if upper > len(v): upper = len(v)
	847	s = slice(lower, upper)
[1167]	848	y = line._y[s]
[1165]	849	maxy = ma.maximum(y)
	850	if isinstance( maxy, float):
	851	maxys.append(maxy)
[1164]	852	if len(maxys):
	853	peak = max(maxys)
[1165]	854	if peak > self._plotter.axes.get_ylim()[1]:
	855	loc = 'bottom'
[1164]	856	else:
	857	continue
[1157]	858	self._plotter.vline_with_label(freq, peak,
	859	linecat.get_name(row),
	860	location=loc, rotate=rotate)
[1153]	861	self._plotter.show(hardrefresh=False)
[1146]	862
[1153]	863
[2698]	864	def set_selection(self, selection=None, refresh=True, **kw):
[710]	865	"""
[377]	866	Parameters:
[2698]	867	selection: a selector object (default unset the selection)
	868	refresh: True (default) or False. If True, the plot is
	869	replotted based on the new parameter setting(s).
	870	Otherwise,the parameter(s) are set without replotting.
[377]	871	"""
[2698]	872	if selection is None:
	873	# reset
	874	if len(kw) == 0:
	875	self._selection = selector()
	876	else:
	877	# try keywords
	878	for k in kw:
	879	if k not in selector.fields:
	880	raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields))
	881	self._selection = selector(**kw)
	882	elif isinstance(selection, selector):
	883	self._selection = selection
	884	else:
	885	raise TypeError("'selection' is not of type selector")
[709]	886
[2698]	887	order = self._get_sortstring([self._panelling,self._stacking])
	888	if order:
	889	self._selection.set_order(order)
	890	if refresh and self._data:
	891	self.plot()
	892
[1862]	893	@asaplog_post_dec
[1819]	894	def set_mask(self, mask=None, selection=None, refresh=True):
[525]	895	"""
[734]	896	Set a plotting mask for a specific polarization.
[2451]	897	This is useful for masking out 'noise' Pangle outside a source.
[734]	898	Parameters:
[920]	899	mask: a mask from scantable.create_mask
	900	selection: the spectra to apply the mask to.
[1819]	901	refresh: True (default) or False. If True, the plot is
[1824]	902	replotted based on the new parameter setting(s).
[1819]	903	Otherwise,the parameter(s) are set without replotting.
[734]	904	Example:
[920]	905	select = selector()
[2451]	906	select.setpolstrings('Pangle')
[920]	907	plotter.set_mask(mymask, select)
[734]	908	"""
[710]	909	if not self._data:
[920]	910	msg = "Can only set mask after a first call to plot()"
[1859]	911	raise RuntimeError(msg)
[2714]	912	if (mask is not None) and len(mask):
[920]	913	if isinstance(mask, list) or isinstance(mask, tuple):
	914	self._usermask = array(mask)
[710]	915	else:
[920]	916	self._usermask = mask
	917	if mask is None and selection is None:
	918	self._usermask = []
	919	self._maskselection = None
	920	if isinstance(selection, selector):
[947]	921	self._maskselection = {'b': selection.get_beams(),
	922	's': selection.get_scans(),
	923	'i': selection.get_ifs(),
	924	'p': selection.get_pols(),
[920]	925	't': [] }
[710]	926	else:
[920]	927	self._maskselection = None
[1819]	928	if refresh: self.plot(self._data)
[710]	929
[709]	930
[2699]	931	### Reset methods ###
[710]	932	def _reset(self):
[2714]	933	"""Reset method called when new data is set"""
	934	# reset selections and masks
	935	self.set_selection(None, False)
	936	self.set_mask(None, None, False)
	937	# reset offset
[1897]	938	self._offset = None
[2714]	939	# reset header
[2051]	940	self._reset_header()
[2714]	941	# reset labels
	942	self._lmap = None # related to stack
	943	self.set_title(None, None, False)
	944	self.set_ordinate(None, None, False)
	945	self.set_abcissa(None, None, False)
[920]	946
[2051]	947	def _reset_header(self):
[2053]	948	self._headtext={'string': None, 'textobj': None}
[2051]	949
[2697]	950	def _reset_counter(self):
	951	self._startrow = 0
	952	self._ipanel = -1
[2715]	953	self._panelrows = []
[2697]	954	self._reset_header()
	955	if self.casabar_exists():
	956	self._plotter.figmgr.casabar.set_pagecounter(1)
	957
[2698]	958	def _reset_counters(self):
	959	self._startrow = 0
	960	self._ipanel = -1
	961	self._panelrows = []
	962
[2699]	963
	964	### Actual scantable plot methods ###
[2698]	965	@asaplog_post_dec
	966	def plot(self, scan=None):
	967	"""
	968	Plot a scantable.
	969	Parameters:
	970	scan: a scantable
	971	Note:
	972	If a scantable was specified in a previous call
	973	to plot, no argument has to be given to 'replot'
	974	NO checking is done that the abcissas of the scantable
	975	are consistent e.g. all 'channel' or all 'velocity' etc.
	976	"""
[2704]	977	self._plotmode = "spectra"
[2698]	978	if not self._data and not scan:
	979	msg = "Input is not a scantable"
	980	raise TypeError(msg)
	981
	982	self._assert_plotter(action="reload")
	983	self._plotter.hold()
	984	self._reset_counter()
	985	#self._plotter.clear()
	986	if scan:
	987	self.set_data(scan, refresh=False)
	988	self._plotter.palette(color=0,colormap=self._colormap,
	989	linestyle=0,linestyles=self._linestyles)
	990	self._plotter.legend(self._legendloc)
	991	self._plot(self._data)
	992	if self._minmaxy is not None:
	993	self._plotter.set_limits(ylim=self._minmaxy)
	994	if self.casabar_exists(): self._plotter.figmgr.casabar.enable_button()
	995	self._plotter.release()
	996	self._plotter.tidy()
	997	self._plotter.show(hardrefresh=False)
	998	return
	999
[920]	1000	def _plot(self, scan):
[947]	1001	savesel = scan.get_selection()
	1002	sel = savesel + self._selection
[1910]	1003	order = self._get_sortstring([self._panelling,self._stacking])
	1004	if order:
	1005	sel.set_order(order)
[947]	1006	scan.set_selection(sel)
[920]	1007	d = {'b': scan.getbeam, 's': scan.getscan,
[1949]	1008	'i': scan.getif, 'p': scan.getpol, 't': scan.get_time,
[1989]	1009	'r': int}#, '_r': int}
[920]	1010
[2650]	1011	polmodes = dict(zip(sel.get_pols(), sel.get_poltypes()))
[1148]	1012	# this returns either a tuple of numbers or a length (ncycles)
	1013	# convert this into lengths
	1014	n0,nstack0 = self._get_selected_n(scan)
	1015	if isinstance(n0, int): n = n0
[1175]	1016	else: n = len(n0)
[1148]	1017	if isinstance(nstack0, int): nstack = nstack0
[1175]	1018	else: nstack = len(nstack0)
[1989]	1019	# In case of row stacking
	1020	rowstack = False
	1021	titlemode = self._panelling
	1022	if self._stacking == "r" and self._panelling != "r":
	1023	rowstack = True
	1024	titlemode = '_r'
[1913]	1025	nptot = n
[1582]	1026	maxpanel, maxstack = 16,16
[1913]	1027	if nstack > maxstack:
	1028	msg ="Scan to be overlayed contains more than %d selections.\n" \
	1029	"Selecting first %d selections..." % (maxstack, maxstack)
[920]	1030	asaplog.push(msg)
[1861]	1031	asaplog.post('WARN')
[998]	1032	nstack = min(nstack,maxstack)
[2038]	1033	#n = min(n-self._ipanel-1,maxpanel)
	1034	n = n-self._ipanel-1
[2697]	1035	# the number of panels in this page
	1036	if self._rows and self._cols:
	1037	n = min(n,self._rows*self._cols)
	1038	else:
	1039	n = min(n,maxpanel)
[2011]	1040
[2697]	1041	firstpage = (self._ipanel < 0)
	1042	#ganged = False
	1043	ganged = rcParams['plotter.ganged']
	1044	if self._panelling == 'i':
	1045	ganged = False
[2715]	1046	if (not firstpage) and \
	1047	self._plotter._subplotsOk(self._rows, self._cols, n):
	1048	# Not the first page and subplot number is ok.
	1049	# Just clear the axis
[2697]	1050	nx = self._plotter.cols
	1051	ipaxx = n - nx - 1 #the max panel id to supress x-label
	1052	for ip in xrange(len(self._plotter.subplots)):
	1053	self._plotter.subplot(ip)
	1054	self._plotter.clear()
	1055	self._plotter.axes.set_visible((ip<n))
	1056	if ganged:
	1057	self._plotter.axes.xaxis.label.set_visible((ip > ipaxx))
	1058	if ip <= ipaxx:
	1059	map(lambda x: x.set_visible(False), \
	1060	self._plotter.axes.get_xticklabels())
	1061	self._plotter.axes.yaxis.label.set_visible((ip % nx)==0)
	1062	if ip % nx:
	1063	map(lambda y: y.set_visible(False), \
	1064	self._plotter.axes.get_yticklabels())
	1065	elif (n > 1 and self._rows and self._cols):
[920]	1066	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[2650]	1067	nplots=n,margin=self._margins,
	1068	ganged=ganged)
[920]	1069	else:
[2697]	1070	self._plotter.set_panels(rows=n,cols=0,nplots=n,
	1071	margin=self._margins,ganged=ganged)
[1913]	1072	#r = 0
[1981]	1073	r = self._startrow
[920]	1074	nr = scan.nrow()
	1075	a0,b0 = -1,-1
	1076	allxlim = []
[1018]	1077	allylim = []
[1981]	1078	#newpanel=True
	1079	newpanel=False
[920]	1080	panelcount,stackcount = 0,0
[1981]	1081	# If this is not the first page
	1082	if r > 0:
	1083	# panelling value of the prev page
	1084	a0 = d[self._panelling](r-1)
	1085	# set the initial stackcount large not to plot
	1086	# the start row automatically
	1087	stackcount = nstack
	1088
[1002]	1089	while r < nr:
[920]	1090	a = d[self._panelling](r)
	1091	b = d[self._stacking](r)
	1092	if a > a0 and panelcount < n:
	1093	if n > 1:
	1094	self._plotter.subplot(panelcount)
	1095	self._plotter.palette(0)
	1096	#title
	1097	xlab = self._abcissa and self._abcissa[panelcount] \
	1098	or scan._getabcissalabel()
[1897]	1099	if self._offset and not self._abcissa:
	1100	xlab += " (relative)"
[920]	1101	ylab = self._ordinate and self._ordinate[panelcount] \
	1102	or scan._get_ordinate_label()
[1547]	1103	self._plotter.set_axes('xlabel', xlab)
	1104	self._plotter.set_axes('ylabel', ylab)
[1989]	1105	#lbl = self._get_label(scan, r, self._panelling, self._title)
	1106	lbl = self._get_label(scan, r, titlemode, self._title)
[920]	1107	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1108	if 0 <= panelcount < len(lbl):
	1109	lbl = lbl[panelcount]
	1110	else:
	1111	# get default label
[1989]	1112	#lbl = self._get_label(scan, r, self._panelling, None)
	1113	lbl = self._get_label(scan, r, titlemode, None)
[920]	1114	self._plotter.set_axes('title',lbl)
	1115	newpanel = True
[1913]	1116	stackcount = 0
[920]	1117	panelcount += 1
[1981]	1118	# save the start row to plot this panel for future revisit.
	1119	if self._panelling != 'r' and \
	1120	len(self._panelrows) < self._ipanel+1+panelcount:
	1121	self._panelrows += [r]
	1122
[1944]	1123	#if (b > b0 or newpanel) and stackcount < nstack:
[2650]	1124	if stackcount < nstack and (newpanel or \
	1125	rowstack or (a == a0 and b > b0)):
[920]	1126	y = []
	1127	if len(polmodes):
	1128	y = scan._getspectrum(r, polmodes[scan.getpol(r)])
	1129	else:
	1130	y = scan._getspectrum(r)
[1995]	1131	# flag application
	1132	mr = scan._getflagrow(r)
[1739]	1133	from numpy import ma, array
[1995]	1134	if mr:
	1135	y = ma.masked_array(y,mask=mr)
	1136	else:
	1137	m = scan._getmask(r)
	1138	from numpy import logical_not, logical_and
	1139	if self._maskselection and len(self._usermask) == len(m):
[2277]	1140	if d[self._stacking](r) in self._maskselection[self._stacking]:
[1995]	1141	m = logical_and(m, self._usermask)
[2277]	1142	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
[1995]	1143
[1897]	1144	x = array(scan._getabcissa(r))
	1145	if self._offset:
	1146	x += self._offset
[920]	1147	if self._minmaxx is not None:
	1148	s,e = self._slice_indeces(x)
	1149	x = x[s:e]
	1150	y = y[s:e]
[1096]	1151	if len(x) > 1024 and rcParams['plotter.decimate']:
	1152	fac = len(x)/1024
[920]	1153	x = x[::fac]
	1154	y = y[::fac]
	1155	llbl = self._get_label(scan, r, self._stacking, self._lmap)
	1156	if isinstance(llbl, list) or isinstance(llbl, tuple):
	1157	if 0 <= stackcount < len(llbl):
	1158	# use user label
	1159	llbl = llbl[stackcount]
	1160	else:
	1161	# get default label
	1162	llbl = self._get_label(scan, r, self._stacking, None)
	1163	self._plotter.set_line(label=llbl)
[1023]	1164	plotit = self._plotter.plot
	1165	if self._hist: plotit = self._plotter.hist
[1995]	1166	if len(x) > 0 and not mr:
[1146]	1167	plotit(x,y)
	1168	xlim= self._minmaxx or [min(x),max(x)]
	1169	allxlim += xlim
	1170	ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)]
	1171	allylim += ylim
[1819]	1172	else:
	1173	xlim = self._minmaxx or []
	1174	allxlim += xlim
	1175	ylim= self._minmaxy or []
	1176	allylim += ylim
[920]	1177	stackcount += 1
[1981]	1178	a0=a
	1179	b0=b
[920]	1180	# last in colour stack -> autoscale x
[1819]	1181	if stackcount == nstack and len(allxlim) > 0:
[920]	1182	allxlim.sort()
[1819]	1183	self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]])
[1989]	1184	if ganged:
	1185	allxlim = [allxlim[0],allxlim[-1]]
	1186	else:
	1187	# clear
	1188	allxlim =[]
[920]	1189
	1190	newpanel = False
[1981]	1191	#a0=a
	1192	#b0=b
[920]	1193	# ignore following rows
[1981]	1194	if (panelcount == n and stackcount == nstack) or (r == nr-1):
[1018]	1195	# last panel -> autoscale y if ganged
[1989]	1196	#if rcParams['plotter.ganged'] and len(allylim) > 0:
	1197	if ganged and len(allylim) > 0:
[1018]	1198	allylim.sort()
	1199	self._plotter.set_limits(ylim=[allylim[0],allylim[-1]])
[998]	1200	break
[920]	1201	r+=1 # next row
[1981]	1202
	1203	# save the current counter for multi-page plotting
	1204	self._startrow = r+1
	1205	self._ipanel += panelcount
[2147]	1206	if self.casabar_exists():
[1981]	1207	if self._ipanel >= nptot-1:
[1913]	1208	self._plotter.figmgr.casabar.disable_next()
	1209	else:
	1210	self._plotter.figmgr.casabar.enable_next()
[1981]	1211	if self._ipanel + 1 - panelcount > 0:
	1212	self._plotter.figmgr.casabar.enable_prev()
	1213	else:
	1214	self._plotter.figmgr.casabar.disable_prev()
	1215
[947]	1216	#reset the selector to the scantable's original
	1217	scan.set_selection(savesel)
[1824]	1218
[1819]	1219	#temporary switch-off for older matplotlib
	1220	#if self._fp is not None:
[2698]	1221	if self._fp is not None and \
	1222	getattr(self._plotter.figure,'findobj',False):
[1556]	1223	for o in self._plotter.figure.findobj(Text):
[2697]	1224	if not self._headtext['textobj'] or \
	1225	not (o in self._headtext['textobj']):
	1226	o.set_fontproperties(self._fp)
[920]	1227
[1910]	1228	def _get_sortstring(self, lorders):
	1229	d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO',
	1230	'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None }
[1944]	1231	if not (type(lorders) == list) and not (type(lorders) == tuple):
[1910]	1232	return None
	1233	if len(lorders) > 0:
	1234	lsorts = []
	1235	for order in lorders:
[1989]	1236	if order == "r":
	1237	# don't sort if row panelling/stacking
	1238	return None
[1910]	1239	ssort = d0[order]
	1240	if ssort:
	1241	lsorts.append(ssort)
	1242	return lsorts
	1243	return None
	1244
[920]	1245	def _get_selected_n(self, scan):
[1148]	1246	d1 = {'b': scan.getbeamnos, 's': scan.getscannos,
[1910]	1247	'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle,
[1989]	1248	'r': scan.nrow}#, '_r': False}
[1148]	1249	d2 = { 'b': self._selection.get_beams(),
	1250	's': self._selection.get_scans(),
	1251	'i': self._selection.get_ifs(),
	1252	'p': self._selection.get_pols(),
[1910]	1253	't': self._selection.get_cycles(),
[1989]	1254	'r': False}#, '_r': 1}
[920]	1255	n = d2[self._panelling] or d1[self._panelling]()
	1256	nstack = d2[self._stacking] or d1[self._stacking]()
[1989]	1257	# handle row panelling/stacking
	1258	if self._panelling == 'r':
	1259	nstack = 1
	1260	elif self._stacking == 'r':
	1261	n = 1
[920]	1262	return n,nstack
	1263
	1264	def _get_label(self, scan, row, mode, userlabel=None):
[1153]	1265	if isinstance(userlabel, list) and len(userlabel) == 0:
	1266	userlabel = " "
[947]	1267	pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes()))
[920]	1268	if len(pms):
	1269	poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)])
	1270	else:
	1271	poleval = scan._getpollabel(scan.getpol(row),scan.poltype())
	1272	d = {'b': "Beam "+str(scan.getbeam(row)),
[1819]	1273	#'s': scan._getsourcename(row),
	1274	's': "Scan "+str(scan.getscan(row))+\
	1275	" ("+str(scan._getsourcename(row))+")",
[920]	1276	'i': "IF"+str(scan.getif(row)),
[964]	1277	'p': poleval,
[1910]	1278	't': str(scan.get_time(row)),
	1279	'r': "row "+str(row),
[1913]	1280	#'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) }
	1281	'_r': "" }
[920]	1282	return userlabel or d[mode]
[1153]	1283
[2700]	1284	def _slice_indeces(self, data):
	1285	mn = self._minmaxx[0]
	1286	mx = self._minmaxx[1]
	1287	asc = data[0] < data[-1]
	1288	start=0
	1289	end = len(data)-1
	1290	inc = 1
	1291	if not asc:
	1292	start = len(data)-1
	1293	end = 0
	1294	inc = -1
	1295	# find min index
	1296	#while start > 0 and data[start] < mn:
	1297	# start+= inc
	1298	minind=start
	1299	for ind in xrange(start,end+inc,inc):
	1300	if data[ind] > mn: break
	1301	minind=ind
	1302	# find max index
	1303	#while end > 0 and data[end] > mx:
	1304	# end-=inc
	1305	#if end > 0: end +=1
	1306	maxind=end
	1307	for ind in xrange(end,start-inc,-inc):
	1308	if data[ind] < mx: break
	1309	maxind=ind
	1310	start=minind
	1311	end=maxind
	1312	if start > end:
	1313	return end,start+1
	1314	elif start < end:
	1315	return start,end+1
	1316	else:
	1317	return start,end
	1318
[1819]	1319	def plotazel(self, scan=None, outfile=None):
[1391]	1320	"""
[1696]	1321	plot azimuth and elevation versus time of a scantable
[1391]	1322	"""
[2704]	1323	self._plotmode = "azel"
[1923]	1324	visible = rcParams['plotter.gui']
[1696]	1325	from matplotlib import pylab as PL
[2586]	1326	from matplotlib.dates import DateFormatter
	1327	from pytz import timezone
[1696]	1328	from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator
[1391]	1329	from matplotlib.ticker import MultipleLocator
[1739]	1330	from numpy import array, pi
[2704]	1331	if self._plotter and (PL.gcf() == self._plotter.figure):
[2699]	1332	# the current figure is ASAP plotter. Use mpl plotter
	1333	figids = PL.get_fignums()
[2704]	1334	PL.figure(max(figids[-1],1))
	1335
[1923]	1336	if not visible or not self._visible:
	1337	PL.ioff()
	1338	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1339	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1340	self._data = scan
[1556]	1341	dates = self._data.get_time(asdatetime=True)
[1391]	1342	t = PL.date2num(dates)
	1343	tz = timezone('UTC')
	1344	PL.cla()
	1345	PL.ioff()
	1346	PL.clf()
[2037]	1347	# Adjust subplot margins
[2576]	1348	if not self._margins or len(self._margins) != 6:
[2037]	1349	self.set_margin(refresh=False)
	1350	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1351	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1352	wspace=wsp,hspace=hsp)
[1824]	1353
[1391]	1354	tdel = max(t) - min(t)
	1355	ax = PL.subplot(2,1,1)
	1356	el = array(self._data.get_elevation())*180./pi
	1357	PL.ylabel('El [deg.]')
	1358	dstr = dates[0].strftime('%Y/%m/%d')
	1359	if tdel > 1.0:
	1360	dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d')
	1361	dstr = dstr + " - " + dstr2
	1362	majloc = DayLocator()
	1363	minloc = HourLocator(range(0,23,12))
	1364	timefmt = DateFormatter("%b%d")
[1696]	1365	elif tdel > 24./60.:
	1366	timefmt = DateFormatter('%H:%M')
	1367	majloc = HourLocator()
	1368	minloc = MinuteLocator(30)
[1391]	1369	else:
[1696]	1370	timefmt = DateFormatter('%H:%M')
	1371	majloc = MinuteLocator(interval=5)
	1372	minloc = SecondLocator(30)
	1373
[1391]	1374	PL.title(dstr)
[1819]	1375	if tdel == 0.0:
	1376	th = (t - PL.floor(t))*24.0
	1377	PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b')
	1378	else:
	1379	PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz)
	1380	#ax.grid(True)
	1381	ax.xaxis.set_major_formatter(timefmt)
	1382	ax.xaxis.set_major_locator(majloc)
	1383	ax.xaxis.set_minor_locator(minloc)
[1391]	1384	ax.yaxis.grid(True)
[1819]	1385	yloc = MultipleLocator(30)
	1386	ax.set_ylim(0,90)
	1387	ax.yaxis.set_major_locator(yloc)
[1391]	1388	if tdel > 1.0:
	1389	labels = ax.get_xticklabels()
	1390	# PL.setp(labels, fontsize=10, rotation=45)
	1391	PL.setp(labels, fontsize=10)
[1819]	1392
[1391]	1393	# Az plot
	1394	az = array(self._data.get_azimuth())*180./pi
	1395	if min(az) < 0:
	1396	for irow in range(len(az)):
	1397	if az[irow] < 0: az[irow] += 360.0
	1398
[1819]	1399	ax2 = PL.subplot(2,1,2)
	1400	#PL.xlabel('Time (UT [hour])')
	1401	PL.ylabel('Az [deg.]')
	1402	if tdel == 0.0:
	1403	PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b')
	1404	else:
	1405	PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz)
	1406	ax2.xaxis.set_major_formatter(timefmt)
	1407	ax2.xaxis.set_major_locator(majloc)
	1408	ax2.xaxis.set_minor_locator(minloc)
	1409	#ax2.grid(True)
	1410	ax2.set_ylim(0,360)
[1696]	1411	ax2.yaxis.grid(True)
[1819]	1412	#hfmt = DateFormatter('%H')
	1413	#hloc = HourLocator()
	1414	yloc = MultipleLocator(60)
	1415	ax2.yaxis.set_major_locator(yloc)
	1416	if tdel > 1.0:
	1417	labels = ax2.get_xticklabels()
	1418	PL.setp(labels, fontsize=10)
	1419	PL.xlabel('Time (UT [day])')
	1420	else:
	1421	PL.xlabel('Time (UT [hour])')
	1422
[1391]	1423	PL.ion()
	1424	PL.draw()
[2416]	1425	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[2576]	1426	if (outfile is not None):
	1427	PL.savefig(outfile)
[1391]	1428
[2693]	1429
	1430	def plotpointing2(self, scan=None, colorby='', showline=False, projection=''):
	1431	"""
	1432	plot telescope pointings
	1433	Parameters:
	1434	infile : input filename or scantable instance
	1435	colorby : change color by either
	1436	'type'(source type)\|'scan'\|'if'\|'pol'\|'beam'
	1437	showline : show dotted line
	1438	projection : projection type either
	1439	''(no projection [deg])\|'coord'(not implemented)
	1440	"""
[2704]	1441	self._plotmode = "pointing"
[2693]	1442	from numpy import array, pi
	1443	from asap import scantable
	1444	# check for scantable
	1445	if isinstance(scan, scantable):
	1446	if self._data is not None:
	1447	if scan != self._data:
	1448	self._data = scan
	1449	# reset
	1450	self._reset()
	1451	else:
	1452	self._data = scan
	1453	self._reset()
	1454	if not self._data:
	1455	msg = "Input is not a scantable"
	1456	raise TypeError(msg)
	1457	# check for color mode
	1458	validtypes=['type','scan','if','pol', 'beam']
	1459	stype = None
	1460	if (colorby in validtypes):
	1461	stype = colorby[0]
	1462	elif len(colorby) > 0:
	1463	msg = "Invalid choice of 'colorby' (choices: %s)" % str(validtypes)
	1464	raise ValueError(msg)
	1465	self._assert_plotter(action="reload")
	1466	self._plotter.hold()
[2697]	1467	self._reset_counter()
[2694]	1468	if self.casabar_exists():
	1469	self._plotter.figmgr.casabar.disable_button()
[2693]	1470	# for now, only one plot
	1471	self._plotter.set_panels(rows=1,cols=1)
	1472	# first panel
	1473	self._plotter.subplot(0)
	1474	# first color and linestyles
	1475	self._plotter.palette(0)
	1476	self.gca().set_aspect('equal')
	1477	basesel = scan.get_selection()
[2694]	1478	attrback = self._plotter.get_line()
	1479	marker = "o"
[2693]	1480	if showline:
	1481	basesel.set_order(["TIME"])
	1482	scan.set_selection(basesel)
	1483	if not (stype in ["t", "s"]):
[2694]	1484	marker += ":"
	1485	self._plotter.set_line(markersize=3, markeredgewidth=0)
	1486
[2693]	1487	if not stype:
	1488	selIds = [""] # cheating
	1489	sellab = "all points"
	1490	elif stype == 't':
	1491	selIds = range(15)
	1492	sellab = "src type "
	1493	else:
	1494	selIds = getattr(self._data,'get'+colorby+'nos')()
	1495	sellab = colorby.upper()
	1496	selFunc = "set_"+colorby+"s"
	1497	for idx in selIds:
	1498	sel = selector() + basesel
	1499	if stype:
	1500	bid = getattr(basesel,'get_'+colorby+"s")()
	1501	if (len(bid) > 0) and (not idx in bid):
	1502	# base selection doesn't contain idx
	1503	# Note summation of selector is logical sum if
	1504	continue
	1505	getattr(sel, selFunc)([idx])
	1506	if not sel.is_empty():
	1507	try:
	1508	self._data.set_selection(sel)
	1509	except RuntimeError, instance:
	1510	if stype == 't' and str(instance).startswith("Selection contains no data."):
	1511	continue
	1512	else:
	1513	self._data.set_selection(basesel)
	1514	raise RuntimeError, instance
	1515	if self._data.nrow() == 0:
	1516	self._data.set_selection(basesel)
	1517	continue
[2795]	1518	#print "Plotting direction of %s = %s" % (colorby, str(idx))
[2694]	1519	# getting data to plot
[2693]	1520	dir = array(self._data.get_directionval()).transpose()
	1521	ra = dir[0]*180./pi
	1522	dec = dir[1]*180./pi
[2694]	1523	# actual plot
[2693]	1524	self._plotter.set_line(label=(sellab+str(idx)))
	1525	self._plotter.plot(ra,dec,marker)
	1526
	1527	# restore original selection
	1528	self._data.set_selection(basesel)
	1529	# need to plot scan pattern explicitly
	1530	if showline and (stype in ["t", "s"]):
	1531	dir = array(self._data.get_directionval()).transpose()
	1532	ra = dir[0]*180./pi
	1533	dec = dir[1]*180./pi
	1534	self._plotter.set_line(label="scan pattern")
	1535	self._plotter.plot(ra,dec,":")
[2694]	1536	# set color for only this line
	1537	self._plotter.lines[-1][0].set_color("gray")
	1538
[2693]	1539	xlab = 'RA [deg.]'
	1540	ylab = 'Declination [deg.]'
	1541	self._plotter.set_axes('xlabel', xlab)
	1542	self._plotter.set_axes('ylabel', ylab)
	1543	self._plotter.set_axes('title', 'Telescope pointings')
	1544	if stype: self._plotter.legend(self._legendloc)
	1545	else: self._plotter.legend(None)
	1546	# reverse x-axis
	1547	xmin, xmax = self.gca().get_xlim()
	1548	self._plotter.set_limits(xlim=[xmax,xmin])
	1549
	1550	self._plotter.release()
	1551	self._plotter.show(hardrefresh=False)
[2694]	1552	# reset line settings
	1553	self._plotter.set_line(**attrback)
[2693]	1554	return
	1555
[1819]	1556	def plotpointing(self, scan=None, outfile=None):
[1391]	1557	"""
	1558	plot telescope pointings
	1559	"""
[1923]	1560	visible = rcParams['plotter.gui']
[1696]	1561	from matplotlib import pylab as PL
[1819]	1562	from numpy import array, pi
[2704]	1563	if self._plotter and (PL.gcf() == self._plotter.figure):
[2699]	1564	# the current figure is ASAP plotter. Use mpl plotter
	1565	figids = PL.get_fignums()
[2704]	1566	PL.figure(max(figids[-1],1))
	1567
[1923]	1568	if not visible or not self._visible:
	1569	PL.ioff()
	1570	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1571	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1572	self._data = scan
[1391]	1573	dir = array(self._data.get_directionval()).transpose()
	1574	ra = dir[0]*180./pi
	1575	dec = dir[1]*180./pi
	1576	PL.cla()
[1819]	1577	#PL.ioff()
[1391]	1578	PL.clf()
[2037]	1579	# Adjust subplot margins
[2576]	1580	if not self._margins or len(self._margins) != 6:
[2037]	1581	self.set_margin(refresh=False)
	1582	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1583	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1584	wspace=wsp,hspace=hsp)
	1585	ax = PL.gca()
	1586	#ax = PL.axes([0.1,0.1,0.8,0.8])
	1587	#ax = PL.axes([0.1,0.1,0.8,0.8])
[1391]	1588	ax.set_aspect('equal')
[1696]	1589	PL.plot(ra, dec, 'b,')
[1391]	1590	PL.xlabel('RA [deg.]')
	1591	PL.ylabel('Declination [deg.]')
	1592	PL.title('Telescope pointings')
	1593	[xmin,xmax,ymin,ymax] = PL.axis()
	1594	PL.axis([xmax,xmin,ymin,ymax])
[2416]	1595	PL.ion()
[1391]	1596	PL.draw()
[2416]	1597	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[2576]	1598	if (outfile is not None):
	1599	PL.savefig(outfile)
[1819]	1600
	1601	# plot total power data
	1602	# plotting in time is not yet implemented..
[1862]	1603	@asaplog_post_dec
[2576]	1604	def plottp(self, scan=None):
[2704]	1605	self._plotmode = "totalpower"
[1819]	1606	from asap import scantable
	1607	if not self._data and not scan:
	1608	msg = "Input is not a scantable"
	1609	raise TypeError(msg)
	1610	if isinstance(scan, scantable):
	1611	if self._data is not None:
	1612	if scan != self._data:
	1613	self._data = scan
	1614	# reset
	1615	self._reset()
	1616	else:
	1617	self._data = scan
	1618	self._reset()
	1619	# ranges become invalid when abcissa changes?
	1620	#if self._abcunit and self._abcunit != self._data.get_unit():
	1621	# self._minmaxx = None
	1622	# self._minmaxy = None
	1623	# self._abcunit = self._data.get_unit()
	1624
[2693]	1625	self._assert_plotter(action="reload")
	1626	self._plotter.hold()
	1627	self._plotter.clear()
[2037]	1628	# Adjust subplot margins
[2576]	1629	if not self._margins or len(self._margins) !=6:
	1630	self.set_margin(refresh=False)
[2037]	1631	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1632	self._plotter.figure.subplots_adjust(
	1633	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
[2147]	1634	if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button()
[1819]	1635	self._plottp(self._data)
	1636	if self._minmaxy is not None:
	1637	self._plotter.set_limits(ylim=self._minmaxy)
	1638	self._plotter.release()
	1639	self._plotter.tidy()
	1640	self._plotter.show(hardrefresh=False)
	1641	return
	1642
	1643	def _plottp(self,scan):
	1644	"""
	1645	private method for plotting total power data
	1646	"""
	1647	from numpy import ma, array, arange, logical_not
	1648	r=0
	1649	nr = scan.nrow()
	1650	a0,b0 = -1,-1
	1651	allxlim = []
	1652	allylim = []
	1653	y=[]
	1654	self._plotter.set_panels()
	1655	self._plotter.palette(0)
	1656	#title
	1657	#xlab = self._abcissa and self._abcissa[panelcount] \
	1658	# or scan._getabcissalabel()
	1659	#ylab = self._ordinate and self._ordinate[panelcount] \
	1660	# or scan._get_ordinate_label()
	1661	xlab = self._abcissa or 'row number' #or Time
	1662	ylab = self._ordinate or scan._get_ordinate_label()
	1663	self._plotter.set_axes('xlabel',xlab)
	1664	self._plotter.set_axes('ylabel',ylab)
	1665	lbl = self._get_label(scan, r, 's', self._title)
	1666	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1667	# if 0 <= panelcount < len(lbl):
	1668	# lbl = lbl[panelcount]
	1669	# else:
	1670	# get default label
	1671	lbl = self._get_label(scan, r, self._panelling, None)
	1672	self._plotter.set_axes('title',lbl)
	1673	y=array(scan._get_column(scan._getspectrum,-1))
	1674	m = array(scan._get_column(scan._getmask,-1))
	1675	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	1676	x = arange(len(y))
	1677	# try to handle spectral data somewhat...
	1678	l,m = y.shape
	1679	if m > 1:
	1680	y=y.mean(axis=1)
	1681	plotit = self._plotter.plot
	1682	llbl = self._get_label(scan, r, self._stacking, None)
	1683	self._plotter.set_line(label=llbl)
	1684	if len(x) > 0:
	1685	plotit(x,y)
	1686
	1687
	1688	# printing header information
[1862]	1689	@asaplog_post_dec
[2053]	1690	def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''):
[1819]	1691	"""
	1692	print data (scantable) header on the plot and/or logger.
[2056]	1693	To plot the header on the plot, this method should be called after
	1694	plotting spectra by the method, asapplotter.plot.
[1819]	1695	Parameters:
[1824]	1696	plot: whether or not print header info on the plot.
[2053]	1697	fontsize: header font size (valid only plot=True)
[1819]	1698	logger: whether or not print header info on the logger.
	1699	selstr: additional selection string (not verified)
[2053]	1700	extrastr: additional string to print at the beginning (not verified)
[1819]	1701	"""
[1859]	1702	if not plot and not logger:
	1703	return
	1704	if not self._data:
	1705	raise RuntimeError("No scantable has been set yet.")
[1824]	1706	# Now header will be printed on plot and/or logger.
	1707	# Get header information and format it.
[2112]	1708	ssum=self._data._list_header()
[1819]	1709	# Print Observation header to the upper-left corner of plot
[2290]	1710	headstr=[ssum[0:ssum.find('Obs. Type:')]]
	1711	headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')])
[2053]	1712	if extrastr != '':
	1713	headstr[0]=extrastr+'\n'+headstr[0]
	1714	self._headtext['extrastr'] = extrastr
[2112]	1715	if selstr != '':
	1716	selstr += '\n'
	1717	self._headtext['selstr'] = selstr
[2056]	1718	ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none')
[2927]	1719	headstr.append('\n\n*Selections*\n'+ssel.replace('$','\$'))
[1824]	1720
[2051]	1721	if plot:
[2451]	1722	errmsg = "Can plot header only after the first call to plot()."
[2453]	1723	self._assert_plotter(action="halt",errmsg=errmsg)
[1819]	1724	self._plotter.hold()
[2053]	1725	self._header_plot(headstr,fontsize=fontsize)
[2697]	1726	#import time
	1727	#self._plotter.figure.text(0.99,0.01,
	1728	# time.strftime("%a %d %b %Y %H:%M:%S %Z"),
	1729	# horizontalalignment='right',
	1730	# verticalalignment='bottom',fontsize=8)
[1819]	1731	self._plotter.release()
	1732	if logger:
[2053]	1733	selstr = "Selections: "+ssel
[1819]	1734	asaplog.push("----------------\n Plot Summary\n----------------")
[2053]	1735	asaplog.push(extrastr)
[2290]	1736	asaplog.push(ssum[0:ssum.find('Selection:')]\
[2112]	1737	+ selstr)
[2053]	1738	self._headtext['string'] = headstr
	1739	del ssel, ssum, headstr
[2051]	1740
[2053]	1741	def _header_plot(self, texts, fontsize=9):
	1742	self._headtext['textobj']=[]
	1743	nstcol=len(texts)
	1744	for i in range(nstcol):
	1745	self._headtext['textobj'].append(
	1746	self._plotter.figure.text(0.03+float(i)/nstcol,0.98,
	1747	texts[i],
	1748	horizontalalignment='left',
	1749	verticalalignment='top',
	1750	fontsize=fontsize))
	1751
	1752	def clear_header(self):
	1753	if not self._headtext['textobj']:
	1754	asaplog.push("No header has been plotted. Exit without any operation")
	1755	asaplog.post("WARN")
[2453]	1756	elif self._assert_plotter(action="status"):
[2053]	1757	self._plotter.hold()
	1758	for textobj in self._headtext['textobj']:
	1759	#if textobj.get_text() in self._headstring:
	1760	try:
	1761	textobj.remove()
	1762	except NotImplementedError:
	1763	self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj))
	1764	self._plotter.release()
	1765	self._reset_header()
[2576]	1766
	1767	# plot spectra by pointing
	1768	@asaplog_post_dec
[2717]	1769	def plotgrid(self, scan=None,center="",spacing=[],rows=None,cols=None):
[2576]	1770	"""
	1771	Plot spectra based on direction.
	1772
	1773	Parameters:
	1774	scan: a scantable to plot
[2717]	1775	center: the grid center direction (a string)
[2576]	1776	(default) the center of map region
[2717]	1777	(example) 'J2000 19h30m00s -25d00m00s'
[2576]	1778	spacing: a list of horizontal (R.A.) and vertical (Dec.)
[2717]	1779	spacing.
[2576]	1780	(default) Calculated by the extent of map region and
[2717]	1781	(example) ['1arcmin', '1arcmin']
[2576]	1782	the number of rows and cols to cover
	1783	rows: number of panels (grid points) in horizontal direction
	1784	cols: number of panels (grid points) in vertical direction
	1785
	1786	Note:
	1787	- Only the first IFNO, POLNO, and BEAM in the scantable will be
	1788	plotted.
	1789	- This method doesn't re-grid and average spectra in scantable. Use
	1790	asapgrid module to re-grid spectra before plotting with this method.
	1791	Only the first spectrum is plotted in case there are multiple
	1792	spectra which belong to a grid.
	1793	"""
[2704]	1794	self._plotmode = "grid"
[2576]	1795	from asap import scantable
[2607]	1796	from numpy import array, ma, cos
[2576]	1797	if not self._data and not scan:
	1798	msg = "No scantable is specified to plot"
	1799	raise TypeError(msg)
[2604]	1800	if scan:
	1801	self.set_data(scan, refresh=False)
	1802	del scan
	1803
[2576]	1804	# Rows and cols
[2717]	1805	if (self._rows is None):
	1806	rows = max(1, rows)
	1807	if (self._cols is None):
	1808	cols = max(1, cols)
	1809	self.set_layout(rows,cols,False)
[2576]	1810
[2717]	1811	# Select the first IF, POL, and BEAM for plotting
[2576]	1812	ntotpl = self._rows * self._cols
	1813	ifs = self._data.getifnos()
	1814	if len(ifs) > 1:
	1815	msg = "Found multiple IFs in scantable. Only the first IF (IFNO=%d) will be plotted." % ifs[0]
	1816	asaplog.post()
	1817	asaplog.push(msg)
	1818	asaplog.post("WARN")
	1819	pols = self._data.getpolnos()
	1820	if len(pols) > 1:
	1821	msg = "Found multiple POLs in scantable. Only the first POL (POLNO=%d) will be plotted." % pols[0]
	1822	asaplog.post()
	1823	asaplog.push(msg)
	1824	asaplog.post("WARN")
	1825	beams = self._data.getbeamnos()
	1826	if len(beams) > 1:
	1827	msg = "Found multiple BEAMs in scantable. Only the first BEAM (BEAMNO=%d) will be plotted." % beams[0]
	1828	asaplog.post()
	1829	asaplog.push(msg)
	1830	asaplog.post("WARN")
	1831	self._data.set_selection(ifs=[ifs[0]],pols=[pols[0]],beams=[beams[0]])
	1832	if self._data.nrow() > ntotpl:
	1833	msg = "Scantable is finely sampled than plotting grids. "\
	1834	+ "Only the first spectrum is plotted in each grid."
	1835	asaplog.post()
	1836	asaplog.push(msg)
	1837	asaplog.post("WARN")
[2717]	1838
	1839	# Prepare plotter
[2576]	1840	self._assert_plotter(action="reload")
	1841	self._plotter.hold()
[2697]	1842	self._reset_counter()
[2604]	1843	self._plotter.legend()
[2691]	1844
[2576]	1845	# Adjust subplot margins
	1846	if not self._margins or len(self._margins) !=6:
	1847	self.set_margin(refresh=False)
	1848	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[2693]	1849	nplots=ntotpl,margin=self._margins,ganged=True)
[2603]	1850	if self.casabar_exists():
	1851	self._plotter.figmgr.casabar.enable_button()
[2691]	1852	# Plot helper
	1853	from asap._asap import plothelper as plhelper
	1854	ph = plhelper(self._data)
[2717]	1855	#ph.set_gridval(self._cols, self._rows, spacing[0], spacing[1],
	1856	# center[0], center[1], epoch="J2000", projname="SIN")
	1857	if type(spacing) in (list, tuple, array):
	1858	if len(spacing) == 0:
	1859	spacing = ["", ""]
	1860	elif len(spacing) == 1:
	1861	spacing = [spacing[0], spacing[0]]
	1862	else:
	1863	spacing = [spacing, spacing]
	1864	ph.set_grid(self._cols, self._rows, spacing[0], spacing[1], \
	1865	center, projname="SIN")
	1866
[2576]	1867	# Actual plot
	1868	npl = 0
	1869	for irow in range(self._data.nrow()):
[2691]	1870	(ix, iy) = ph.get_gpos(irow)
	1871	#print("asapplotter.plotgrid: (ix, iy) = (%f, %f)" % (ix, iy))
[2576]	1872	if ix < 0 or ix >= self._cols:
[2602]	1873	#print "Row %d : Out of X-range (x = %f) ... skipped" % (irow, pos[0])
[2576]	1874	continue
[2691]	1875	ix = int(ix)
	1876	if iy < 0 or iy >= self._rows:
[2602]	1877	#print "Row %d : Out of Y-range (y = %f) ... skipped" % (irow,pos[1])
[2576]	1878	continue
[2691]	1879	iy = int(iy)
	1880	ipanel = ix + iy*self._rows
	1881	#print("Resolved panel Id (%d, %d): %d" % (ix, iy, ipanel))
[2576]	1882	if len(self._plotter.subplots[ipanel]['lines']) > 0:
[2602]	1883	#print "Row %d : panel %d lready plotted ... skipped" % (irow,ipanel)
[2576]	1884	# a spectrum already plotted in the panel
	1885	continue
	1886	# Plotting this row
[2602]	1887	#print "PLOTTING row %d (panel=%d)" % (irow, ipanel)
[2576]	1888	npl += 1
	1889	self._plotter.subplot(ipanel)
[2602]	1890	self._plotter.palette(0,colormap=self._colormap, \
	1891	linestyle=0,linestyles=self._linestyles)
[2576]	1892	xlab = self._abcissa and self._abcissa[ipanel] \
[2603]	1893	or self._data._getabcissalabel(irow)
[2576]	1894	if self._offset and not self._abcissa:
	1895	xlab += " (relative)"
	1896	ylab = self._ordinate and self._ordinate[ipanel] \
[2603]	1897	or self._data._get_ordinate_label()
[2576]	1898	self._plotter.set_axes('xlabel', xlab)
	1899	self._plotter.set_axes('ylabel', ylab)
	1900	lbl = self._data.get_direction(irow)
	1901	self._plotter.set_axes('title',lbl)
	1902
[2603]	1903	y = self._data._getspectrum(irow)
[2576]	1904	# flag application
[2603]	1905	mr = self._data._getflagrow(irow)
[2576]	1906	if mr: # FLAGROW=True
	1907	y = ma.masked_array(y,mask=mr)
	1908	else:
[2603]	1909	m = self._data._getmask(irow)
[2576]	1910	from numpy import logical_not, logical_and
	1911	### user mask is not available so far
	1912	#if self._maskselection and len(self._usermask) == len(m):
	1913	# if d[self._stacking](irow) in self._maskselection[self._stacking]:
	1914	# m = logical_and(m, self._usermask)
	1915	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	1916
[2603]	1917	x = array(self._data._getabcissa(irow))
[2576]	1918	if self._offset:
	1919	x += self._offset
	1920	if self._minmaxx is not None:
	1921	s,e = self._slice_indeces(x)
	1922	x = x[s:e]
	1923	y = y[s:e]
	1924	if len(x) > 1024 and rcParams['plotter.decimate']:
	1925	fac = len(x)/1024
	1926	x = x[::fac]
	1927	y = y[::fac]
	1928	self._plotter.set_line(label=lbl)
	1929	plotit = self._plotter.plot
	1930	if self._hist: plotit = self._plotter.hist
	1931	if len(x) > 0 and not mr:
	1932	plotit(x,y)
	1933	# xlim= self._minmaxx or [min(x),max(x)]
	1934	# allxlim += xlim
	1935	# ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)]
	1936	# allylim += ylim
	1937	# else:
	1938	# xlim = self._minmaxx or []
	1939	# allxlim += xlim
	1940	# ylim= self._minmaxy or []
	1941	# allylim += ylim
	1942
	1943	if npl >= ntotpl:
	1944	break
	1945
	1946	if self._minmaxy is not None:
	1947	self._plotter.set_limits(ylim=self._minmaxy)
	1948	self._plotter.release()
	1949	self._plotter.tidy()
	1950	self._plotter.show(hardrefresh=False)
	1951	return

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