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source: trunk/python/asapplotter.py @ 3017

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Last change on this file since 3017 was 3016, checked in by Kana Sugimoto, 10 years ago

New Development: No

JIRA Issue: Yes (CAS-CAS-6564)

Ready for Test: Yes

Interface Changes: No

What Interface Changed:

Test Programs: run sdplot with plottype='azel', zoom-in and out to see if the tick interval is kept proper.

Put in Release Notes: No

Module(s): sdplot, asapplotter

Description: Switched off definition of the manual, fixed tick interval in asapplotter.plotazel(). The tick interval is set automatically by matplotlib.

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

File size: 85.5 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
[2988]	1319	def _get_date_axis_setup(self, dates):
	1320	"""
	1321	Returns proper axis title and formatters for a list of dates
	1322	Input
	1323	dates : a list of datetime objects returned by,
	1324	e.g. scantable.get_time(asdatetime=True)
	1325	Output
	1326	a set of
	1327	* date axis title string
	1328	* formatter of date axis
	1329	* major axis locator
	1330	* minor axis locator
	1331	"""
	1332	from matplotlib import pylab as PL
	1333	from matplotlib.dates import DateFormatter
	1334	from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator
	1335	t = PL.date2num(dates)
	1336	tdel = max(t) - min(t) # interval in day
	1337	dstr = dates[0].strftime('%Y/%m/%d')
	1338	if tdel > 1.0: # >1day
	1339	dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d')
	1340	dstr = dstr + " - " + dstr2
	1341	majloc = DayLocator()
	1342	minloc = HourLocator(range(0,23,12))
	1343	timefmt = DateFormatter("%b%d")
	1344	elif tdel > 24./60.: # 9.6h - 1day
	1345	timefmt = DateFormatter('%H:%M')
	1346	majloc = HourLocator()
	1347	minloc = MinuteLocator(range(0,60,30))
	1348	elif tdel > 2./24.: # 2h-9.6h
	1349	timefmt = DateFormatter('%H:%M')
	1350	majloc = HourLocator()
	1351	minloc = MinuteLocator(range(0,60,10))
	1352	elif tdel> 10./24./60.: # 10min-2h
	1353	timefmt = DateFormatter('%H:%M')
	1354	majloc = MinuteLocator(range(0,60,10))
	1355	minloc = MinuteLocator()
	1356	else: # <10min
	1357	timefmt = DateFormatter('%H:%M')
	1358	majloc = MinuteLocator()
	1359	minloc = SecondLocator(30)
	1360	return (dstr, timefmt, majloc, minloc)
	1361
[1819]	1362	def plotazel(self, scan=None, outfile=None):
[1391]	1363	"""
[1696]	1364	plot azimuth and elevation versus time of a scantable
[1391]	1365	"""
[2704]	1366	self._plotmode = "azel"
[1923]	1367	visible = rcParams['plotter.gui']
[1696]	1368	from matplotlib import pylab as PL
[2586]	1369	from pytz import timezone
[1391]	1370	from matplotlib.ticker import MultipleLocator
[2953]	1371	from numpy import array, pi, ma
[2704]	1372	if self._plotter and (PL.gcf() == self._plotter.figure):
[2699]	1373	# the current figure is ASAP plotter. Use mpl plotter
	1374	figids = PL.get_fignums()
[2704]	1375	PL.figure(max(figids[-1],1))
	1376
[1923]	1377	if not visible or not self._visible:
	1378	PL.ioff()
	1379	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1380	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1381	self._data = scan
[1556]	1382	dates = self._data.get_time(asdatetime=True)
[2953]	1383	# for flag handling
	1384	mask = [ self._data._is_all_chan_flagged(i) for i in range(self._data.nrow())]
[1391]	1385	t = PL.date2num(dates)
	1386	tz = timezone('UTC')
	1387	PL.cla()
	1388	PL.ioff()
	1389	PL.clf()
[2037]	1390	# Adjust subplot margins
[2576]	1391	if not self._margins or len(self._margins) != 6:
[2037]	1392	self.set_margin(refresh=False)
	1393	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1394	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1395	wspace=wsp,hspace=hsp)
[1824]	1396
[2977]	1397	tdel = max(t) - min(t) # interval in day
[1391]	1398	ax = PL.subplot(2,1,1)
[2953]	1399	el = ma.masked_array(array(self._data.get_elevation())*180./pi, mask)
[1391]	1400	PL.ylabel('El [deg.]')
[2988]	1401	(dstr, timefmt, majloc, minloc) = self._get_date_axis_setup(dates)
	1402
[1391]	1403	PL.title(dstr)
[1819]	1404	if tdel == 0.0:
	1405	th = (t - PL.floor(t))*24.0
	1406	PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b')
	1407	else:
	1408	PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz)
[3016]	1409	#ax.xaxis.set_major_formatter(timefmt)
	1410	#ax.xaxis.set_major_locator(majloc)
	1411	#ax.xaxis.set_minor_locator(minloc)
[1391]	1412	ax.yaxis.grid(True)
[1819]	1413	ax.set_ylim(0,90)
[3016]	1414	#yloc = MultipleLocator(30)
	1415	#ax.yaxis.set_major_locator(yloc)
[1391]	1416	if tdel > 1.0:
	1417	labels = ax.get_xticklabels()
	1418	# PL.setp(labels, fontsize=10, rotation=45)
	1419	PL.setp(labels, fontsize=10)
[1819]	1420
[1391]	1421	# Az plot
[2953]	1422	az = ma.masked_array(array(self._data.get_azimuth())*180./pi, mask)
[1391]	1423	if min(az) < 0:
	1424	for irow in range(len(az)):
	1425	if az[irow] < 0: az[irow] += 360.0
	1426
[1819]	1427	ax2 = PL.subplot(2,1,2)
	1428	#PL.xlabel('Time (UT [hour])')
	1429	PL.ylabel('Az [deg.]')
	1430	if tdel == 0.0:
	1431	PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b')
	1432	else:
	1433	PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz)
[3016]	1434	#ax2.xaxis.set_major_formatter(timefmt)
	1435	#ax2.xaxis.set_major_locator(majloc)
	1436	#ax2.xaxis.set_minor_locator(minloc)
[1819]	1437	ax2.set_ylim(0,360)
[1696]	1438	ax2.yaxis.grid(True)
[1819]	1439	#hfmt = DateFormatter('%H')
	1440	#hloc = HourLocator()
[3016]	1441	#yloc = MultipleLocator(60)
	1442	#ax2.yaxis.set_major_locator(yloc)
[1819]	1443	if tdel > 1.0:
	1444	labels = ax2.get_xticklabels()
	1445	PL.setp(labels, fontsize=10)
[3016]	1446	# PL.xlabel('Time (UT [day])')
	1447	#else:
	1448	# PL.xlabel('Time (UT [hour])')
	1449	PL.xlabel('Time (UT)')
[1819]	1450
[1391]	1451	PL.ion()
	1452	PL.draw()
[2416]	1453	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[2576]	1454	if (outfile is not None):
	1455	PL.savefig(outfile)
[1391]	1456
[2693]	1457
	1458	def plotpointing2(self, scan=None, colorby='', showline=False, projection=''):
	1459	"""
	1460	plot telescope pointings
	1461	Parameters:
[2990]	1462	scan : input scantable instance
[2693]	1463	colorby : change color by either
	1464	'type'(source type)\|'scan'\|'if'\|'pol'\|'beam'
	1465	showline : show dotted line
	1466	projection : projection type either
	1467	''(no projection [deg])\|'coord'(not implemented)
	1468	"""
[2704]	1469	self._plotmode = "pointing"
[2953]	1470	from numpy import array, pi, ma
[2693]	1471	from asap import scantable
	1472	# check for scantable
	1473	if isinstance(scan, scantable):
	1474	if self._data is not None:
	1475	if scan != self._data:
	1476	self._data = scan
	1477	# reset
	1478	self._reset()
	1479	else:
	1480	self._data = scan
	1481	self._reset()
	1482	if not self._data:
	1483	msg = "Input is not a scantable"
	1484	raise TypeError(msg)
	1485	# check for color mode
	1486	validtypes=['type','scan','if','pol', 'beam']
	1487	stype = None
	1488	if (colorby in validtypes):
	1489	stype = colorby[0]
	1490	elif len(colorby) > 0:
	1491	msg = "Invalid choice of 'colorby' (choices: %s)" % str(validtypes)
	1492	raise ValueError(msg)
	1493	self._assert_plotter(action="reload")
	1494	self._plotter.hold()
[2697]	1495	self._reset_counter()
[2694]	1496	if self.casabar_exists():
	1497	self._plotter.figmgr.casabar.disable_button()
[2693]	1498	# for now, only one plot
	1499	self._plotter.set_panels(rows=1,cols=1)
	1500	# first panel
	1501	self._plotter.subplot(0)
	1502	# first color and linestyles
	1503	self._plotter.palette(0)
	1504	self.gca().set_aspect('equal')
	1505	basesel = scan.get_selection()
[2694]	1506	attrback = self._plotter.get_line()
	1507	marker = "o"
[2693]	1508	if showline:
	1509	basesel.set_order(["TIME"])
	1510	scan.set_selection(basesel)
	1511	if not (stype in ["t", "s"]):
[2694]	1512	marker += ":"
	1513	self._plotter.set_line(markersize=3, markeredgewidth=0)
	1514
[2693]	1515	if not stype:
	1516	selIds = [""] # cheating
	1517	sellab = "all points"
	1518	elif stype == 't':
	1519	selIds = range(15)
	1520	sellab = "src type "
	1521	else:
	1522	selIds = getattr(self._data,'get'+colorby+'nos')()
	1523	sellab = colorby.upper()
	1524	selFunc = "set_"+colorby+"s"
	1525	for idx in selIds:
	1526	sel = selector() + basesel
	1527	if stype:
	1528	bid = getattr(basesel,'get_'+colorby+"s")()
	1529	if (len(bid) > 0) and (not idx in bid):
	1530	# base selection doesn't contain idx
	1531	# Note summation of selector is logical sum if
	1532	continue
	1533	getattr(sel, selFunc)([idx])
	1534	if not sel.is_empty():
	1535	try:
	1536	self._data.set_selection(sel)
	1537	except RuntimeError, instance:
	1538	if stype == 't' and str(instance).startswith("Selection contains no data."):
	1539	continue
	1540	else:
	1541	self._data.set_selection(basesel)
	1542	raise RuntimeError, instance
	1543	if self._data.nrow() == 0:
	1544	self._data.set_selection(basesel)
	1545	continue
[2795]	1546	#print "Plotting direction of %s = %s" % (colorby, str(idx))
[2694]	1547	# getting data to plot
[2693]	1548	dir = array(self._data.get_directionval()).transpose()
[2953]	1549	# for flag handling
	1550	mask = [ self._data._is_all_chan_flagged(i) for i in range(self._data.nrow())]
[2693]	1551	ra = dir[0]*180./pi
[2953]	1552	dec = ma.masked_array(dir[1]*180./pi, mask)
[2694]	1553	# actual plot
[2693]	1554	self._plotter.set_line(label=(sellab+str(idx)))
	1555	self._plotter.plot(ra,dec,marker)
	1556
	1557	# restore original selection
	1558	self._data.set_selection(basesel)
	1559	# need to plot scan pattern explicitly
	1560	if showline and (stype in ["t", "s"]):
	1561	dir = array(self._data.get_directionval()).transpose()
	1562	ra = dir[0]*180./pi
	1563	dec = dir[1]*180./pi
	1564	self._plotter.set_line(label="scan pattern")
	1565	self._plotter.plot(ra,dec,":")
[2694]	1566	# set color for only this line
	1567	self._plotter.lines[-1][0].set_color("gray")
	1568
[2693]	1569	xlab = 'RA [deg.]'
	1570	ylab = 'Declination [deg.]'
	1571	self._plotter.set_axes('xlabel', xlab)
	1572	self._plotter.set_axes('ylabel', ylab)
	1573	self._plotter.set_axes('title', 'Telescope pointings')
	1574	if stype: self._plotter.legend(self._legendloc)
	1575	else: self._plotter.legend(None)
	1576	# reverse x-axis
	1577	xmin, xmax = self.gca().get_xlim()
[2989]	1578	ymin, ymax = self.gca().get_ylim()
	1579	# expand plotrange if xmin==xmax or ymin==ymax
	1580	if abs(ymax-ymin) < 1.e-3: #~4arcsec
	1581	delx = 0.5*abs(xmax - xmin)
	1582	if delx < 5.e-4:
	1583	dxy = 5.e-4 #~2arcsec
	1584	(ymin, ymax) = (ymin-dxy, ymax+dxy)
	1585	(xmin, xmax) = (xmin-dxy, xmax+dxy)
	1586	(ymin, ymax) = (ymin-delx, ymax+delx)
	1587	elif abs(xmax-xmin) < 1.e-3:
	1588	dely = 0.5*abs(ymax - ymin)
	1589	(xmin, xmax) = (xmin-dely, xmax+dely)
	1590	self._plotter.set_limits(xlim=[xmax,xmin], ylim=[ymin, ymax])
[2693]	1591
	1592	self._plotter.release()
	1593	self._plotter.show(hardrefresh=False)
[2694]	1594	# reset line settings
	1595	self._plotter.set_line(**attrback)
[2693]	1596	return
	1597
[1819]	1598	def plotpointing(self, scan=None, outfile=None):
[1391]	1599	"""
	1600	plot telescope pointings
	1601	"""
[1923]	1602	visible = rcParams['plotter.gui']
[1696]	1603	from matplotlib import pylab as PL
[1819]	1604	from numpy import array, pi
[2704]	1605	if self._plotter and (PL.gcf() == self._plotter.figure):
[2699]	1606	# the current figure is ASAP plotter. Use mpl plotter
	1607	figids = PL.get_fignums()
[2704]	1608	PL.figure(max(figids[-1],1))
	1609
[1923]	1610	if not visible or not self._visible:
	1611	PL.ioff()
	1612	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1613	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1614	self._data = scan
[1391]	1615	dir = array(self._data.get_directionval()).transpose()
	1616	ra = dir[0]*180./pi
	1617	dec = dir[1]*180./pi
	1618	PL.cla()
[1819]	1619	#PL.ioff()
[1391]	1620	PL.clf()
[2037]	1621	# Adjust subplot margins
[2576]	1622	if not self._margins or len(self._margins) != 6:
[2037]	1623	self.set_margin(refresh=False)
	1624	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1625	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1626	wspace=wsp,hspace=hsp)
	1627	ax = PL.gca()
	1628	#ax = PL.axes([0.1,0.1,0.8,0.8])
	1629	#ax = PL.axes([0.1,0.1,0.8,0.8])
[1391]	1630	ax.set_aspect('equal')
[1696]	1631	PL.plot(ra, dec, 'b,')
[1391]	1632	PL.xlabel('RA [deg.]')
	1633	PL.ylabel('Declination [deg.]')
	1634	PL.title('Telescope pointings')
	1635	[xmin,xmax,ymin,ymax] = PL.axis()
	1636	PL.axis([xmax,xmin,ymin,ymax])
[2416]	1637	PL.ion()
[1391]	1638	PL.draw()
[2416]	1639	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[2576]	1640	if (outfile is not None):
	1641	PL.savefig(outfile)
[1819]	1642
	1643	# plot total power data
	1644	# plotting in time is not yet implemented..
[1862]	1645	@asaplog_post_dec
[2990]	1646	def plottp(self, scan=None, colorby=''):
	1647	"""
	1648	Plot averaged spectra (total power) in time or in row ID (colorby='')
	1649	Parameters:
	1650	scan : input scantable instance
	1651	colorby : change color by either
	1652	'type'(source type)\|'scan'\|'if'\|'pol'\|'beam'\|''
	1653	"""
[2704]	1654	self._plotmode = "totalpower"
[1819]	1655	from asap import scantable
	1656	if not self._data and not scan:
	1657	msg = "Input is not a scantable"
	1658	raise TypeError(msg)
	1659	if isinstance(scan, scantable):
	1660	if self._data is not None:
	1661	if scan != self._data:
	1662	self._data = scan
	1663	# reset
	1664	self._reset()
	1665	else:
	1666	self._data = scan
	1667	self._reset()
	1668	# ranges become invalid when abcissa changes?
	1669	#if self._abcunit and self._abcunit != self._data.get_unit():
	1670	# self._minmaxx = None
	1671	# self._minmaxy = None
	1672	# self._abcunit = self._data.get_unit()
	1673
[2693]	1674	self._assert_plotter(action="reload")
	1675	self._plotter.hold()
	1676	self._plotter.clear()
[2037]	1677	# Adjust subplot margins
[2576]	1678	if not self._margins or len(self._margins) !=6:
	1679	self.set_margin(refresh=False)
[2037]	1680	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1681	self._plotter.figure.subplots_adjust(
	1682	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
[2147]	1683	if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button()
[2990]	1684	if len(colorby) == 0:
	1685	self._plottp(self._data)
	1686	else:
[2991]	1687	self._plottp_in_time(self._data,colorby)
[1819]	1688	if self._minmaxy is not None:
	1689	self._plotter.set_limits(ylim=self._minmaxy)
	1690	self._plotter.release()
	1691	self._plotter.tidy()
	1692	self._plotter.show(hardrefresh=False)
	1693	return
	1694
[2991]	1695	def _plottp_in_time(self,scan,colorby):
[2990]	1696	"""
	1697	private method for plotting total power data in time
[2991]	1698	Parameters:
	1699	scan : input scantable instance
	1700	colorby : change color by either
	1701	'type'(source type)\|'scan'\|'if'\|'pol'\|'beam'
[2990]	1702	"""
	1703	from numpy import ma, array, arange, logical_not
	1704	r=0
	1705	nr = scan.nrow()
	1706	a0,b0 = -1,-1
	1707	allxlim = []
	1708	allylim = []
	1709	y=[]
	1710	self._plotter.set_panels()
	1711	self._plotter.palette(0)
	1712	# check of overlay settings
[2992]	1713	time_types = ['type','scan'] # time dependent meta-data
	1714	misc_types = ['if','pol','beam'] # time independent meta-data
	1715	validtypes=time_types + misc_types
[2990]	1716	stype = None
[2991]	1717	col_msg = "Invalid choice of 'colorby' (choices: %s)" % str(validtypes)
[2992]	1718	colorby = colorby.lower()
[2990]	1719	if (colorby in validtypes):
	1720	stype = colorby[0]
	1721	elif len(colorby) > 0:
[2991]	1722	raise ValueError(col_msg)
[2990]	1723	if not stype:
[2991]	1724	raise ValueError(col_msg)
[2992]	1725	# Selection and sort order
	1726	basesel = scan.get_selection()
	1727	if colorby in misc_types: misc_types.pop(misc_types.index(colorby))
	1728	sel_lbl = ""
	1729	for meta in misc_types:
	1730	idx = getattr(scan,'get'+meta+'nos')()
	1731	if len(idx) > 1: getattr(basesel, 'set_'+meta+'s')([idx[0]])
	1732	sel_lbl += ("%s%d, " % (meta.upper(), idx[0]))
	1733	sel_lbl = sel_lbl.rstrip(', ')
	1734	scan.set_selection(basesel)
	1735	if len(sel_lbl) > 0:
	1736	asaplog.push("Selection contains multiple IFs/Pols/Beams. Plotting the first ones: %s" % sel_lbl)
	1737	asaplog.post("WARN")
	1738	if stype == 't':
[2990]	1739	selIds = range(15)
	1740	sellab = "src type "
	1741	else:
	1742	selIds = getattr(scan,'get'+colorby+'nos')()
	1743	sellab = colorby.upper()
	1744	selFunc = "set_"+colorby+"s"
[2992]	1745	basesel.set_order(["TIME"])
	1746	# define axes labels
	1747	xlab = self._abcissa or 'Time (UTC)'
	1748	ylab = self._ordinate or scan._get_ordinate_label()
	1749	self._plotter.set_axes('xlabel',xlab)
	1750	self._plotter.set_axes('ylabel',ylab)
	1751	# define the panel title
	1752	if len(sel_lbl) > 0: lbl = sel_lbl
	1753	else: lbl = self._get_label(scan, r, 's', self._title)
	1754	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1755	# get default label
	1756	lbl = self._get_label(scan, r, self._panelling, None)
	1757	self._plotter.set_axes('title',lbl)
	1758	# linestyle
	1759	lstyle = '' if colorby in time_types else ':'
[2990]	1760	alldates = []
	1761	for idx in selIds:
	1762	sel = selector() + basesel
[2991]	1763	bid = getattr(basesel,'get_'+colorby+"s")()
	1764	if (len(bid) > 0) and (not idx in bid):
	1765	# base selection doesn't contain idx
	1766	# Note summation of selector is logical sum if
	1767	continue
	1768	getattr(sel, selFunc)([idx])
[2990]	1769	if not sel.is_empty():
	1770	try:
	1771	scan.set_selection(sel)
	1772	except RuntimeError, instance:
	1773	if stype == 't' and str(instance).startswith("Selection contains no data."):
	1774	continue
	1775	else:
	1776	scan.set_selection(basesel)
	1777	raise RuntimeError, instance
	1778	if scan.nrow() == 0:
	1779	scan.set_selection(basesel)
	1780	continue
	1781	y=array(scan._get_column(scan._getspectrum,-1))
	1782	m = array(scan._get_column(scan._getmask,-1))
	1783	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	1784	# try to handle spectral data somewhat...
[2991]	1785	try:
	1786	l,m = y.shape
	1787	except ValueError, e:
[2992]	1788	raise ValueError(str(e)+" This error usually occurs when you select multiple spws with different number of channels. Try selecting single spw and retry.")
[2990]	1789	if m > 1:
	1790	y=y.mean(axis=1)
	1791	# flag handling
	1792	m = [ scan._is_all_chan_flagged(i) for i in range(scan.nrow()) ]
	1793	y = ma.masked_array(y,mask=m)
	1794	if len(y) == 0: continue
[2992]	1795	# line label
	1796	llbl=sellab+str(idx)
[2991]	1797	from matplotlib.dates import date2num
	1798	from pytz import timezone
	1799	dates = self._data.get_time(asdatetime=True)
	1800	alldates += list(dates)
	1801	x = date2num(dates)
	1802	tz = timezone('UTC')
[2992]	1803	# get color
	1804	lc = self._plotter.colormap[self._plotter.color]
	1805	self._plotter.palette( (self._plotter.color+1) % len(self._plotter.colormap) )
	1806	# actual plotting
	1807	self._plotter.axes.plot_date(x,y,tz=tz,label=llbl,linestyle=lstyle,color=lc,
	1808	marker='o',markersize=3,markeredgewidth=0)
[2991]	1809
[2990]	1810	# legend and axis formatting
[2991]	1811	(dstr, timefmt, majloc, minloc) = self._get_date_axis_setup(alldates)
	1812	ax = self.gca()
	1813	ax.xaxis.set_major_formatter(timefmt)
	1814	ax.xaxis.set_major_locator(majloc)
	1815	ax.xaxis.set_minor_locator(minloc)
[2992]	1816	self._plotter.axes.legend(loc=self._legendloc)
[2990]	1817
[1819]	1818	def _plottp(self,scan):
	1819	"""
	1820	private method for plotting total power data
	1821	"""
	1822	from numpy import ma, array, arange, logical_not
	1823	r=0
	1824	nr = scan.nrow()
	1825	a0,b0 = -1,-1
	1826	allxlim = []
	1827	allylim = []
	1828	y=[]
	1829	self._plotter.set_panels()
	1830	self._plotter.palette(0)
	1831	#title
	1832	#xlab = self._abcissa and self._abcissa[panelcount] \
	1833	# or scan._getabcissalabel()
	1834	#ylab = self._ordinate and self._ordinate[panelcount] \
	1835	# or scan._get_ordinate_label()
	1836	xlab = self._abcissa or 'row number' #or Time
	1837	ylab = self._ordinate or scan._get_ordinate_label()
	1838	self._plotter.set_axes('xlabel',xlab)
	1839	self._plotter.set_axes('ylabel',ylab)
	1840	lbl = self._get_label(scan, r, 's', self._title)
	1841	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1842	# if 0 <= panelcount < len(lbl):
	1843	# lbl = lbl[panelcount]
	1844	# else:
	1845	# get default label
	1846	lbl = self._get_label(scan, r, self._panelling, None)
	1847	self._plotter.set_axes('title',lbl)
	1848	y=array(scan._get_column(scan._getspectrum,-1))
	1849	m = array(scan._get_column(scan._getmask,-1))
	1850	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	1851	x = arange(len(y))
	1852	# try to handle spectral data somewhat...
[2992]	1853	try:
	1854	l,m = y.shape
	1855	except ValueError, e:
	1856	raise ValueError(str(e)+" This error usually occurs when you select multiple spws with different number of channels. Try selecting single spw and retry.")
[1819]	1857	if m > 1:
	1858	y=y.mean(axis=1)
[2953]	1859	# flag handling
	1860	m = [ scan._is_all_chan_flagged(i) for i in range(scan.nrow()) ]
	1861	y = ma.masked_array(y,mask=m)
[1819]	1862	plotit = self._plotter.plot
	1863	llbl = self._get_label(scan, r, self._stacking, None)
	1864	self._plotter.set_line(label=llbl)
	1865	if len(x) > 0:
	1866	plotit(x,y)
	1867
	1868
	1869	# printing header information
[1862]	1870	@asaplog_post_dec
[2053]	1871	def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''):
[1819]	1872	"""
	1873	print data (scantable) header on the plot and/or logger.
[2056]	1874	To plot the header on the plot, this method should be called after
	1875	plotting spectra by the method, asapplotter.plot.
[1819]	1876	Parameters:
[1824]	1877	plot: whether or not print header info on the plot.
[2053]	1878	fontsize: header font size (valid only plot=True)
[1819]	1879	logger: whether or not print header info on the logger.
	1880	selstr: additional selection string (not verified)
[2053]	1881	extrastr: additional string to print at the beginning (not verified)
[1819]	1882	"""
[1859]	1883	if not plot and not logger:
	1884	return
	1885	if not self._data:
	1886	raise RuntimeError("No scantable has been set yet.")
[1824]	1887	# Now header will be printed on plot and/or logger.
	1888	# Get header information and format it.
[2112]	1889	ssum=self._data._list_header()
[1819]	1890	# Print Observation header to the upper-left corner of plot
[2290]	1891	headstr=[ssum[0:ssum.find('Obs. Type:')]]
	1892	headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')])
[2053]	1893	if extrastr != '':
	1894	headstr[0]=extrastr+'\n'+headstr[0]
	1895	self._headtext['extrastr'] = extrastr
[2112]	1896	if selstr != '':
	1897	selstr += '\n'
	1898	self._headtext['selstr'] = selstr
[2944]	1899	#ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none')
[2945]	1900	curr_selstr = selstr+self._data.get_selection().__str__() or "none"
	1901	ssel=(curr_selstr+"\n" +self._selection.__str__())
[2927]	1902	headstr.append('\n\n*Selections*\n'+ssel.replace('$','\$'))
[1824]	1903
[2051]	1904	if plot:
[2451]	1905	errmsg = "Can plot header only after the first call to plot()."
[2453]	1906	self._assert_plotter(action="halt",errmsg=errmsg)
[1819]	1907	self._plotter.hold()
[2053]	1908	self._header_plot(headstr,fontsize=fontsize)
[2697]	1909	#import time
	1910	#self._plotter.figure.text(0.99,0.01,
	1911	# time.strftime("%a %d %b %Y %H:%M:%S %Z"),
	1912	# horizontalalignment='right',
	1913	# verticalalignment='bottom',fontsize=8)
[1819]	1914	self._plotter.release()
	1915	if logger:
[2053]	1916	selstr = "Selections: "+ssel
[1819]	1917	asaplog.push("----------------\n Plot Summary\n----------------")
[2053]	1918	asaplog.push(extrastr)
[2290]	1919	asaplog.push(ssum[0:ssum.find('Selection:')]\
[2112]	1920	+ selstr)
[2053]	1921	self._headtext['string'] = headstr
	1922	del ssel, ssum, headstr
[2051]	1923
[2053]	1924	def _header_plot(self, texts, fontsize=9):
	1925	self._headtext['textobj']=[]
	1926	nstcol=len(texts)
	1927	for i in range(nstcol):
	1928	self._headtext['textobj'].append(
	1929	self._plotter.figure.text(0.03+float(i)/nstcol,0.98,
	1930	texts[i],
	1931	horizontalalignment='left',
	1932	verticalalignment='top',
	1933	fontsize=fontsize))
	1934
	1935	def clear_header(self):
	1936	if not self._headtext['textobj']:
	1937	asaplog.push("No header has been plotted. Exit without any operation")
	1938	asaplog.post("WARN")
[2453]	1939	elif self._assert_plotter(action="status"):
[2053]	1940	self._plotter.hold()
	1941	for textobj in self._headtext['textobj']:
	1942	#if textobj.get_text() in self._headstring:
	1943	try:
	1944	textobj.remove()
	1945	except NotImplementedError:
	1946	self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj))
	1947	self._plotter.release()
	1948	self._reset_header()
[2576]	1949
	1950	# plot spectra by pointing
	1951	@asaplog_post_dec
[2717]	1952	def plotgrid(self, scan=None,center="",spacing=[],rows=None,cols=None):
[2576]	1953	"""
	1954	Plot spectra based on direction.
	1955
	1956	Parameters:
	1957	scan: a scantable to plot
[2717]	1958	center: the grid center direction (a string)
[2576]	1959	(default) the center of map region
[2717]	1960	(example) 'J2000 19h30m00s -25d00m00s'
[2576]	1961	spacing: a list of horizontal (R.A.) and vertical (Dec.)
[2717]	1962	spacing.
[2576]	1963	(default) Calculated by the extent of map region and
[2717]	1964	(example) ['1arcmin', '1arcmin']
[2576]	1965	the number of rows and cols to cover
	1966	rows: number of panels (grid points) in horizontal direction
	1967	cols: number of panels (grid points) in vertical direction
	1968
	1969	Note:
	1970	- Only the first IFNO, POLNO, and BEAM in the scantable will be
	1971	plotted.
	1972	- This method doesn't re-grid and average spectra in scantable. Use
	1973	asapgrid module to re-grid spectra before plotting with this method.
	1974	Only the first spectrum is plotted in case there are multiple
	1975	spectra which belong to a grid.
	1976	"""
[2704]	1977	self._plotmode = "grid"
[2576]	1978	from asap import scantable
[2607]	1979	from numpy import array, ma, cos
[2576]	1980	if not self._data and not scan:
	1981	msg = "No scantable is specified to plot"
	1982	raise TypeError(msg)
[2604]	1983	if scan:
	1984	self.set_data(scan, refresh=False)
	1985	del scan
	1986
[2576]	1987	# Rows and cols
[2717]	1988	if (self._rows is None):
	1989	rows = max(1, rows)
	1990	if (self._cols is None):
	1991	cols = max(1, cols)
	1992	self.set_layout(rows,cols,False)
[2576]	1993
[2717]	1994	# Select the first IF, POL, and BEAM for plotting
[2576]	1995	ntotpl = self._rows * self._cols
	1996	ifs = self._data.getifnos()
	1997	if len(ifs) > 1:
	1998	msg = "Found multiple IFs in scantable. Only the first IF (IFNO=%d) will be plotted." % ifs[0]
	1999	asaplog.post()
	2000	asaplog.push(msg)
	2001	asaplog.post("WARN")
	2002	pols = self._data.getpolnos()
	2003	if len(pols) > 1:
	2004	msg = "Found multiple POLs in scantable. Only the first POL (POLNO=%d) will be plotted." % pols[0]
	2005	asaplog.post()
	2006	asaplog.push(msg)
	2007	asaplog.post("WARN")
	2008	beams = self._data.getbeamnos()
	2009	if len(beams) > 1:
	2010	msg = "Found multiple BEAMs in scantable. Only the first BEAM (BEAMNO=%d) will be plotted." % beams[0]
	2011	asaplog.post()
	2012	asaplog.push(msg)
	2013	asaplog.post("WARN")
	2014	self._data.set_selection(ifs=[ifs[0]],pols=[pols[0]],beams=[beams[0]])
	2015	if self._data.nrow() > ntotpl:
	2016	msg = "Scantable is finely sampled than plotting grids. "\
	2017	+ "Only the first spectrum is plotted in each grid."
	2018	asaplog.post()
	2019	asaplog.push(msg)
	2020	asaplog.post("WARN")
[2717]	2021
	2022	# Prepare plotter
[2576]	2023	self._assert_plotter(action="reload")
	2024	self._plotter.hold()
[2697]	2025	self._reset_counter()
[2604]	2026	self._plotter.legend()
[2691]	2027
[2576]	2028	# Adjust subplot margins
	2029	if not self._margins or len(self._margins) !=6:
	2030	self.set_margin(refresh=False)
	2031	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[2693]	2032	nplots=ntotpl,margin=self._margins,ganged=True)
[2603]	2033	if self.casabar_exists():
	2034	self._plotter.figmgr.casabar.enable_button()
[2691]	2035	# Plot helper
	2036	from asap._asap import plothelper as plhelper
	2037	ph = plhelper(self._data)
[2717]	2038	#ph.set_gridval(self._cols, self._rows, spacing[0], spacing[1],
	2039	# center[0], center[1], epoch="J2000", projname="SIN")
	2040	if type(spacing) in (list, tuple, array):
	2041	if len(spacing) == 0:
	2042	spacing = ["", ""]
	2043	elif len(spacing) == 1:
	2044	spacing = [spacing[0], spacing[0]]
	2045	else:
	2046	spacing = [spacing, spacing]
	2047	ph.set_grid(self._cols, self._rows, spacing[0], spacing[1], \
	2048	center, projname="SIN")
	2049
[2576]	2050	# Actual plot
	2051	npl = 0
	2052	for irow in range(self._data.nrow()):
[2691]	2053	(ix, iy) = ph.get_gpos(irow)
	2054	#print("asapplotter.plotgrid: (ix, iy) = (%f, %f)" % (ix, iy))
[2576]	2055	if ix < 0 or ix >= self._cols:
[2602]	2056	#print "Row %d : Out of X-range (x = %f) ... skipped" % (irow, pos[0])
[2576]	2057	continue
[2691]	2058	ix = int(ix)
	2059	if iy < 0 or iy >= self._rows:
[2602]	2060	#print "Row %d : Out of Y-range (y = %f) ... skipped" % (irow,pos[1])
[2576]	2061	continue
[2691]	2062	iy = int(iy)
	2063	ipanel = ix + iy*self._rows
	2064	#print("Resolved panel Id (%d, %d): %d" % (ix, iy, ipanel))
[2576]	2065	if len(self._plotter.subplots[ipanel]['lines']) > 0:
[2602]	2066	#print "Row %d : panel %d lready plotted ... skipped" % (irow,ipanel)
[2576]	2067	# a spectrum already plotted in the panel
	2068	continue
	2069	# Plotting this row
[2602]	2070	#print "PLOTTING row %d (panel=%d)" % (irow, ipanel)
[2576]	2071	npl += 1
	2072	self._plotter.subplot(ipanel)
[2602]	2073	self._plotter.palette(0,colormap=self._colormap, \
	2074	linestyle=0,linestyles=self._linestyles)
[2576]	2075	xlab = self._abcissa and self._abcissa[ipanel] \
[2603]	2076	or self._data._getabcissalabel(irow)
[2576]	2077	if self._offset and not self._abcissa:
	2078	xlab += " (relative)"
	2079	ylab = self._ordinate and self._ordinate[ipanel] \
[2603]	2080	or self._data._get_ordinate_label()
[2576]	2081	self._plotter.set_axes('xlabel', xlab)
	2082	self._plotter.set_axes('ylabel', ylab)
	2083	lbl = self._data.get_direction(irow)
	2084	self._plotter.set_axes('title',lbl)
	2085
[2603]	2086	y = self._data._getspectrum(irow)
[2576]	2087	# flag application
[2603]	2088	mr = self._data._getflagrow(irow)
[2576]	2089	if mr: # FLAGROW=True
	2090	y = ma.masked_array(y,mask=mr)
	2091	else:
[2603]	2092	m = self._data._getmask(irow)
[2576]	2093	from numpy import logical_not, logical_and
	2094	### user mask is not available so far
	2095	#if self._maskselection and len(self._usermask) == len(m):
	2096	# if d[self._stacking](irow) in self._maskselection[self._stacking]:
	2097	# m = logical_and(m, self._usermask)
	2098	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	2099
[2603]	2100	x = array(self._data._getabcissa(irow))
[2576]	2101	if self._offset:
	2102	x += self._offset
	2103	if self._minmaxx is not None:
	2104	s,e = self._slice_indeces(x)
	2105	x = x[s:e]
	2106	y = y[s:e]
	2107	if len(x) > 1024 and rcParams['plotter.decimate']:
	2108	fac = len(x)/1024
	2109	x = x[::fac]
	2110	y = y[::fac]
	2111	self._plotter.set_line(label=lbl)
	2112	plotit = self._plotter.plot
	2113	if self._hist: plotit = self._plotter.hist
	2114	if len(x) > 0 and not mr:
	2115	plotit(x,y)
	2116	# xlim= self._minmaxx or [min(x),max(x)]
	2117	# allxlim += xlim
	2118	# ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)]
	2119	# allylim += ylim
	2120	# else:
	2121	# xlim = self._minmaxx or []
	2122	# allxlim += xlim
	2123	# ylim= self._minmaxy or []
	2124	# allylim += ylim
	2125
	2126	if npl >= ntotpl:
	2127	break
	2128
	2129	if self._minmaxy is not None:
	2130	self._plotter.set_limits(ylim=self._minmaxy)
	2131	self._plotter.release()
	2132	self._plotter.tidy()
	2133	self._plotter.show(hardrefresh=False)
	2134	return

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