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source: trunk/python/asapplotter.py@ 2459

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Last change on this file since 2459 was 2453, checked in by Kana Sugimoto, 13 years ago

New Development: No

JIRA Issue: Yes (CAS-3749/Trac-266)

Ready for Test: Yes

Interface Changes: Yes

What Interface Changed: renamed a parameter of asapplotter._assert_plotter from mode to action

Test Programs:

Put in Release Notes: No

Module(s):

Description: renamed a parameter of asapplotter._assert_plotter from mode to action

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Property svn:keywords set to Author Date Id Revision

File size: 61.9 KB

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[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
	8
[1317]	9	import re
[203]	10
[2150]	11	def new_asaplot(visible=None,**kwargs):
	12	"""
	13	Returns a new asaplot instance based on the backend settings.
	14	"""
	15	if visible == None:
	16	visible = rcParams['plotter.gui']
	17
	18	backend=matplotlib.get_backend()
	19	if not visible:
	20	from asap.asaplot import asaplot
	21	elif backend == 'TkAgg':
	22	from asap.asaplotgui import asaplotgui as asaplot
	23	elif backend == 'Qt4Agg':
	24	from asap.asaplotgui_qt4 import asaplotgui as asaplot
	25	elif backend == 'GTkAgg':
	26	from asap.asaplotgui_gtk import asaplotgui as asaplot
	27	else:
	28	from asap.asaplot import asaplot
	29	return asaplot(**kwargs)
	30
[203]	31	class asapplotter:
[226]	32	"""
	33	The ASAP plotter.
	34	By default the plotter is set up to plot polarisations
	35	'colour stacked' and scantables across panels.
[1858]	36
	37	.. note::
	38
[226]	39	Currenly it only plots 'spectra' not Tsys or
	40	other variables.
[1858]	41
[226]	42	"""
[1563]	43	def __init__(self, visible=None , **kwargs):
[734]	44	self._visible = rcParams['plotter.gui']
	45	if visible is not None:
	46	self._visible = visible
[2451]	47	self._plotter = None
	48	self._inikwg = kwargs
[710]	49
[554]	50	self._panelling = None
	51	self._stacking = None
	52	self.set_panelling()
	53	self.set_stacking()
[377]	54	self._rows = None
	55	self._cols = None
[525]	56	self._minmaxx = None
	57	self._minmaxy = None
[710]	58	self._datamask = None
[203]	59	self._data = None
[607]	60	self._lmap = None
[226]	61	self._title = None
[257]	62	self._ordinate = None
	63	self._abcissa = None
[709]	64	self._abcunit = None
[920]	65	self._usermask = []
	66	self._maskselection = None
	67	self._selection = selector()
[1023]	68	self._hist = rcParams['plotter.histogram']
[1556]	69	self._fp = FontProperties()
[2037]	70	self._margins = self.set_margin(refresh=False)
[1897]	71	self._offset = None
[1981]	72	self._startrow = 0
	73	self._ipanel = -1
	74	self._panelrows = []
[2053]	75	self._headtext={'string': None, 'textobj': None}
[2451]	76	self._colormap = None
	77	self._linestyles = None
	78	self._legendloc = None
[1023]	79
[920]	80	def _translate(self, instr):
[1910]	81	keys = "s b i p t r".split()
[920]	82	if isinstance(instr, str):
	83	for key in keys:
	84	if instr.lower().startswith(key):
	85	return key
	86	return None
	87
[2451]	88	def _reload_plotter(self):
	89	if self._plotter is not None:
[2452]	90	if not self._plotter.is_dead:
	91	# clear lines and axes
	92	self._plotter.clear()
[2451]	93	if self.casabar_exists():
	94	del self._plotter.figmgr.casabar
	95	self._plotter.quit()
	96	del self._plotter
	97	self._plotter = new_asaplot(self._visible,**self._inikwg)
	98	self._plotter.figmgr.casabar=self._new_custombar()
	99	# just to make sure they're set
	100	self._plotter.palette(color=0,colormap=self._colormap,
	101	linestyle=0,linestyles=self._linestyles)
	102	self._plotter.legend(self._legendloc)
[710]	103
[2173]	104	def _new_custombar(self):
[1819]	105	backend=matplotlib.get_backend()
[2168]	106	if not self._visible:
	107	return None
	108	elif backend == "TkAgg":
[2155]	109	from asap.customgui_tkagg import CustomToolbarTkAgg
[1819]	110	return CustomToolbarTkAgg(self)
[2168]	111	elif backend == "Qt4Agg":
	112	from asap.customgui_qt4agg import CustomToolbarQT4Agg
	113	return CustomToolbarQT4Agg(self)
[1995]	114	return None
[1819]	115
[2147]	116	def casabar_exists(self):
	117	if not hasattr(self._plotter.figmgr,'casabar'):
	118	return False
	119	elif self._plotter.figmgr.casabar:
	120	return True
	121	return False
	122
[2453]	123	def _assert_plotter(self,action="status",errmsg=None):
[2451]	124	"""
[2453]	125	Check plot window status. Returns True if plot window is alive.
[2451]	126	Parameters
[2453]	127	action: An action to take if the plotter window is not alive.
	128	['status'\|'reload'\|'halt']
	129	The action 'status' simply returns False if asaplot
	130	is not alive. When action='reload', plot window is
	131	reloaded and the method returns True. Finally, an
	132	error is raised when action='halt'.
[2451]	133	errmsg: An error (warning) message to send to the logger,
[2453]	134	when plot window is not alive.
[2451]	135	"""
	136	if self._plotter and not self._plotter.is_dead:
	137	return True
	138	# Plotter is not alive.
	139	haltmsg = "Plotter window has not yet been loaded or is closed."
	140	if type(errmsg)==str and len(errmsg) > 0:
	141	haltmsg = errmsg
	142
[2453]	143	if action.upper().startswith("R"):
[2451]	144	# reload plotter
	145	self._reload_plotter()
	146	return True
[2453]	147	elif action.upper().startswith("H"):
[2451]	148	# halt
	149	asaplog.push(haltmsg)
	150	asaplog.post("ERROR")
	151	raise RuntimeError(haltmsg)
	152	else:
	153	if errmsg:
	154	asaplog.push(errmsg)
	155	asaplog.post("WARN")
	156	return False
	157
	158
[1862]	159	@asaplog_post_dec
[935]	160	def plot(self, scan=None):
[203]	161	"""
[920]	162	Plot a scantable.
[203]	163	Parameters:
[920]	164	scan: a scantable
[203]	165	Note:
[920]	166	If a scantable was specified in a previous call
[203]	167	to plot, no argument has to be given to 'replot'
[920]	168	NO checking is done that the abcissas of the scantable
[203]	169	are consistent e.g. all 'channel' or all 'velocity' etc.
	170	"""
[2451]	171	if not self._data and not scan:
	172	msg = "Input is not a scantable"
	173	raise TypeError(msg)
[1981]	174	self._startrow = 0
	175	self._ipanel = -1
[2056]	176	self._reset_header()
[2451]	177	self._panelrows = []
	178
[2453]	179	self._assert_plotter(action="reload")
[2147]	180	if self.casabar_exists():
[1984]	181	self._plotter.figmgr.casabar.set_pagecounter(1)
[2451]	182
[600]	183	self._plotter.hold()
[1945]	184	#self._plotter.clear()
[1897]	185	if scan:
	186	self.set_data(scan, refresh=False)
[2451]	187	self._plotter.palette(color=0,colormap=self._colormap,
	188	linestyle=0,linestyles=self._linestyles)
	189	self._plotter.legend(self._legendloc)
	190
[920]	191	self._plot(self._data)
[709]	192	if self._minmaxy is not None:
	193	self._plotter.set_limits(ylim=self._minmaxy)
[2147]	194	if self.casabar_exists(): self._plotter.figmgr.casabar.enable_button()
[203]	195	self._plotter.release()
[1153]	196	self._plotter.tidy()
	197	self._plotter.show(hardrefresh=False)
[203]	198	return
	199
[1572]	200	def gca(self):
[2451]	201	errmsg = "No axis to retun. Need to plot first."
[2453]	202	if not self._assert_plotter(action="status",errmsg=errmsg):
[2451]	203	return None
[1572]	204	return self._plotter.figure.gca()
	205
[1550]	206	def refresh(self):
[1572]	207	"""Do a soft refresh"""
[2451]	208	errmsg = "No figure to re-plot. Need to plot first."
[2453]	209	self._assert_plotter(action="halt",errmsg=errmsg)
[2451]	210
[1550]	211	self._plotter.figure.show()
	212
[1555]	213	def create_mask(self, nwin=1, panel=0, color=None):
[1597]	214	"""
[1927]	215	Interactively define a mask. It retruns a mask that is equivalent to
[1597]	216	the one created manually with scantable.create_mask.
	217	Parameters:
	218	nwin: The number of mask windows to create interactively
	219	default is 1.
	220	panel: Which panel to use for mask selection. This is useful
	221	if different IFs are spread over panels (default 0)
	222	"""
[2451]	223	## this method relies on already plotted figure
[2453]	224	if not self._assert_plotter(action="status") or (self._data is None):
[2451]	225	msg = "Cannot create mask interactively on plot. Can only create mask after plotting."
	226	asaplog.push( msg )
	227	asaplog.post( "ERROR" )
[1555]	228	return []
[1547]	229	outmask = []
[1549]	230	self._plotter.subplot(panel)
	231	xmin, xmax = self._plotter.axes.get_xlim()
[1548]	232	marg = 0.05*(xmax-xmin)
[1549]	233	self._plotter.axes.set_xlim(xmin-marg, xmax+marg)
[1550]	234	self.refresh()
[1695]	235
[1555]	236	def cleanup(lines=False, texts=False, refresh=False):
	237	if lines:
	238	del self._plotter.axes.lines[-1]
	239	if texts:
	240	del self._plotter.axes.texts[-1]
	241	if refresh:
	242	self.refresh()
	243
	244	for w in xrange(nwin):
[1547]	245	wpos = []
[1695]	246	self.text(0.05,1.0, "Add start boundary",
[1555]	247	coords="relative", fontsize=10)
	248	point = self._plotter.get_point()
	249	cleanup(texts=True)
	250	if point is None:
	251	continue
	252	wpos.append(point[0])
[1695]	253	self.axvline(wpos[0], color=color)
[1551]	254	self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10)
[1555]	255	point = self._plotter.get_point()
	256	cleanup(texts=True, lines=True)
	257	if point is None:
	258	self.refresh()
	259	continue
	260	wpos.append(point[0])
	261	self.axvspan(wpos[0], wpos[1], alpha=0.1,
	262	edgecolor=color, facecolor=color)
	263	ymin, ymax = self._plotter.axes.get_ylim()
[1547]	264	outmask.append(wpos)
[1153]	265
[1555]	266	self._plotter.axes.set_xlim(xmin, xmax)
	267	self.refresh()
	268	if len(outmask) > 0:
	269	return self._data.create_mask(*outmask)
	270	return []
	271
[1153]	272	# forwards to matplotlib axes
	273	def text(self, args, *kwargs):
[2453]	274	self._assert_plotter(action="reload")
[1547]	275	if kwargs.has_key("interactive"):
	276	if kwargs.pop("interactive"):
	277	pos = self._plotter.get_point()
	278	args = tuple(pos)+args
[1153]	279	self._axes_callback("text", args, *kwargs)
[1547]	280
[1358]	281	text.__doc__ = matplotlib.axes.Axes.text.__doc__
[1559]	282
[1153]	283	def arrow(self, args, *kwargs):
[2453]	284	self._assert_plotter(action="reload")
[1547]	285	if kwargs.has_key("interactive"):
	286	if kwargs.pop("interactive"):
	287	pos = self._plotter.get_region()
	288	dpos = (pos[0][0], pos[0][1],
	289	pos[1][0]-pos[0][0],
	290	pos[1][1] - pos[0][1])
	291	args = dpos + args
[1153]	292	self._axes_callback("arrow", args, *kwargs)
[1547]	293
[1358]	294	arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__
[1559]	295
	296	def annotate(self, text, xy=None, xytext=None, **kwargs):
[2453]	297	self._assert_plotter(action="reload")
[1559]	298	if kwargs.has_key("interactive"):
	299	if kwargs.pop("interactive"):
	300	xy = self._plotter.get_point()
	301	xytext = self._plotter.get_point()
	302	if not kwargs.has_key("arrowprops"):
	303	kwargs["arrowprops"] = dict(arrowstyle="->")
	304	self._axes_callback("annotate", text, xy, xytext, **kwargs)
	305
	306	annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__
	307
[1153]	308	def axvline(self, args, *kwargs):
[2453]	309	self._assert_plotter(action="reload")
[1547]	310	if kwargs.has_key("interactive"):
	311	if kwargs.pop("interactive"):
	312	pos = self._plotter.get_point()
	313	args = (pos[0],)+args
[1153]	314	self._axes_callback("axvline", args, *kwargs)
[1559]	315
[1358]	316	axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__
[1547]	317
[1153]	318	def axhline(self, args, *kwargs):
[2453]	319	self._assert_plotter(action="reload")
[1547]	320	if kwargs.has_key("interactive"):
	321	if kwargs.pop("interactive"):
	322	pos = self._plotter.get_point()
	323	args = (pos[1],)+args
[1153]	324	self._axes_callback("axhline", args, *kwargs)
[1559]	325
[1358]	326	axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__
[1547]	327
[1153]	328	def axvspan(self, args, *kwargs):
[2453]	329	self._assert_plotter(action="reload")
[1547]	330	if kwargs.has_key("interactive"):
	331	if kwargs.pop("interactive"):
	332	pos = self._plotter.get_region()
	333	dpos = (pos[0][0], pos[1][0])
	334	args = dpos + args
[1153]	335	self._axes_callback("axvspan", args, *kwargs)
	336	# hack to preventy mpl from redrawing the patch
	337	# it seem to convert the patch into lines on every draw.
	338	# This doesn't happen in a test script???
[1547]	339	#del self._plotter.axes.patches[-1]
	340
[1358]	341	axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__
[1232]	342
[1153]	343	def axhspan(self, args, *kwargs):
[2453]	344	self._assert_plotter(action="reload")
[1547]	345	if kwargs.has_key("interactive"):
	346	if kwargs.pop("interactive"):
	347	pos = self._plotter.get_region()
	348	dpos = (pos[0][1], pos[1][1])
	349	args = dpos + args
[1232]	350	self._axes_callback("axhspan", args, *kwargs)
[1153]	351	# hack to preventy mpl from redrawing the patch
	352	# it seem to convert the patch into lines on every draw.
	353	# This doesn't happen in a test script???
[1547]	354	#del self._plotter.axes.patches[-1]
[1559]	355
[1358]	356	axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__
[1153]	357
	358	def _axes_callback(self, axesfunc, args, *kwargs):
[2453]	359	self._assert_plotter(action="reload")
[1153]	360	panel = 0
	361	if kwargs.has_key("panel"):
	362	panel = kwargs.pop("panel")
	363	coords = None
	364	if kwargs.has_key("coords"):
	365	coords = kwargs.pop("coords")
	366	if coords.lower() == 'world':
	367	kwargs["transform"] = self._plotter.axes.transData
	368	elif coords.lower() == 'relative':
	369	kwargs["transform"] = self._plotter.axes.transAxes
	370	self._plotter.subplot(panel)
	371	self._plotter.axes.set_autoscale_on(False)
	372	getattr(self._plotter.axes, axesfunc)(args, *kwargs)
	373	self._plotter.show(False)
	374	self._plotter.axes.set_autoscale_on(True)
	375	# end matplotlib.axes fowarding functions
	376
[1862]	377	@asaplog_post_dec
[1819]	378	def set_data(self, scan, refresh=True):
	379	"""
[1824]	380	Set a scantable to plot.
[1819]	381	Parameters:
	382	scan: a scantable
	383	refresh: True (default) or False. If True, the plot is
[1824]	384	replotted based on the new parameter setting(s).
[1819]	385	Otherwise,the parameter(s) are set without replotting.
	386	Note:
	387	The user specified masks and data selections will be reset
	388	if a new scantable is set. This method should be called before
[1824]	389	setting data selections (set_selection) and/or masks (set_mask).
[1819]	390	"""
	391	from asap import scantable
	392	if isinstance(scan, scantable):
	393	if self._data is not None:
	394	if scan != self._data:
[2123]	395	del self._data
[1819]	396	self._data = scan
	397	# reset
	398	self._reset()
[1897]	399	msg = "A new scantable is set to the plotter. "\
	400	"The masks and data selections are reset."
[1819]	401	asaplog.push( msg )
	402	else:
	403	self._data = scan
	404	self._reset()
	405	else:
	406	msg = "Input is not a scantable"
	407	raise TypeError(msg)
[1547]	408
[1819]	409	# ranges become invalid when unit changes
	410	if self._abcunit and self._abcunit != self._data.get_unit():
	411	self._minmaxx = None
	412	self._minmaxy = None
	413	self._abcunit = self._data.get_unit()
	414	self._datamask = None
	415	if refresh: self.plot()
	416
[1862]	417	@asaplog_post_dec
[1819]	418	def set_mode(self, stacking=None, panelling=None, refresh=True):
[203]	419	"""
[377]	420	Set the plots look and feel, i.e. what you want to see on the plot.
[203]	421	Parameters:
	422	stacking: tell the plotter which variable to plot
[1217]	423	as line colour overlays (default 'pol')
[203]	424	panelling: tell the plotter which variable to plot
	425	across multiple panels (default 'scan'
[1819]	426	refresh: True (default) or False. If True, the plot is
[1824]	427	replotted based on the new parameter setting(s).
[1819]	428	Otherwise,the parameter(s) are set without replotting.
[203]	429	Note:
	430	Valid modes are:
	431	'beam' 'Beam' 'b': Beams
	432	'if' 'IF' 'i': IFs
	433	'pol' 'Pol' 'p': Polarisations
	434	'scan' 'Scan' 's': Scans
	435	'time' 'Time' 't': Times
[1989]	436	'row' 'Row' 'r': Rows
	437	When either 'stacking' or 'panelling' is set to 'row',
	438	the other parameter setting is ignored.
[203]	439	"""
[753]	440	msg = "Invalid mode"
	441	if not self.set_panelling(panelling) or \
	442	not self.set_stacking(stacking):
[1859]	443	raise TypeError(msg)
[1989]	444	#if self._panelling == 'r':
	445	# self._stacking = '_r'
	446	#if self._stacking == 'r':
	447	# self._panelling = '_r'
[1819]	448	if refresh and self._data: self.plot(self._data)
[203]	449	return
	450
[554]	451	def set_panelling(self, what=None):
[1858]	452	"""Set the 'panelling' mode i.e. which type of spectra should be
	453	spread across different panels.
	454	"""
	455
[554]	456	mode = what
	457	if mode is None:
	458	mode = rcParams['plotter.panelling']
	459	md = self._translate(mode)
[203]	460	if md:
[554]	461	self._panelling = md
[226]	462	self._title = None
[1989]	463	#if md == 'r':
	464	# self._stacking = '_r'
[1981]	465	# you need to reset counters for multi page plotting
	466	self._reset_counters()
[203]	467	return True
	468	return False
	469
[1819]	470	def set_layout(self,rows=None,cols=None,refresh=True):
[377]	471	"""
	472	Set the multi-panel layout, i.e. how many rows and columns plots
	473	are visible.
	474	Parameters:
	475	rows: The number of rows of plots
	476	cols: The number of columns of plots
[1819]	477	refresh: True (default) or False. If True, the plot is
[1824]	478	replotted based on the new parameter setting(s).
[1819]	479	Otherwise,the parameter(s) are set without replotting.
[377]	480	Note:
	481	If no argument is given, the potter reverts to its auto-plot
	482	behaviour.
	483	"""
	484	self._rows = rows
	485	self._cols = cols
[1819]	486	if refresh and self._data: self.plot(self._data)
[377]	487	return
	488
[709]	489	def set_stacking(self, what=None):
[1858]	490	"""Set the 'stacking' mode i.e. which type of spectra should be
	491	overlayed.
	492	"""
[554]	493	mode = what
[709]	494	if mode is None:
	495	mode = rcParams['plotter.stacking']
[554]	496	md = self._translate(mode)
[203]	497	if md:
	498	self._stacking = md
[226]	499	self._lmap = None
[1989]	500	#if md == 'r':
	501	# self._panelling = '_r'
[1981]	502	# you need to reset counters for multi page plotting
	503	self._reset_counters()
[203]	504	return True
	505	return False
	506
[1981]	507	def _reset_counters(self):
	508	self._startrow = 0
	509	self._ipanel = -1
	510	self._panelrows = []
	511
[1897]	512	def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None):
[203]	513	"""
	514	Set the range of interest on the abcissa of the plot
	515	Parameters:
[525]	516	[x,y]start,[x,y]end: The start and end points of the 'zoom' window
[1819]	517	refresh: True (default) or False. If True, the plot is
[1824]	518	replotted based on the new parameter setting(s).
[1819]	519	Otherwise,the parameter(s) are set without replotting.
[1897]	520	offset: shift the abcissa by the given amount. The abcissa label will
	521	have '(relative)' appended to it.
[203]	522	Note:
	523	These become non-sensical when the unit changes.
	524	use plotter.set_range() without parameters to reset
	525
	526	"""
[1897]	527	self._offset = offset
[525]	528	if xstart is None and xend is None:
	529	self._minmaxx = None
[600]	530	else:
	531	self._minmaxx = [xstart,xend]
[525]	532	if ystart is None and yend is None:
	533	self._minmaxy = None
[600]	534	else:
[709]	535	self._minmaxy = [ystart,yend]
[1819]	536	if refresh and self._data: self.plot(self._data)
[203]	537	return
[709]	538
[1819]	539	def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True):
[203]	540	"""
	541	Specify a mapping for the legend instead of using the default
	542	indices:
	543	Parameters:
[1101]	544	mp: a list of 'strings'. This should have the same length
	545	as the number of elements on the legend and then maps
	546	to the indeces in order. It is possible to uses latex
	547	math expression. These have to be enclosed in r'',
	548	e.g. r'$x^{2}$'
	549	fontsize: The font size of the label (default None)
	550	mode: where to display the legend
	551	Any other value for loc else disables the legend:
[1096]	552	0: auto
	553	1: upper right
	554	2: upper left
	555	3: lower left
	556	4: lower right
	557	5: right
	558	6: center left
	559	7: center right
	560	8: lower center
	561	9: upper center
	562	10: center
[1819]	563	refresh: True (default) or False. If True, the plot is
[1824]	564	replotted based on the new parameter setting(s).
[1819]	565	Otherwise,the parameter(s) are set without replotting.
[203]	566
	567	Example:
[485]	568	If the data has two IFs/rest frequencies with index 0 and 1
[203]	569	for CO and SiO:
	570	plotter.set_stacking('i')
[710]	571	plotter.set_legend(['CO','SiO'])
[203]	572	plotter.plot()
[710]	573	plotter.set_legend([r'$^{12}CO$', r'SiO'])
[203]	574	"""
	575	self._lmap = mp
[2451]	576	#self._plotter.legend(mode)
	577	self._legendloc = mode
[1101]	578	if isinstance(fontsize, int):
	579	from matplotlib import rc as rcp
	580	rcp('legend', fontsize=fontsize)
[1819]	581	if refresh and self._data: self.plot(self._data)
[226]	582	return
	583
[1819]	584	def set_title(self, title=None, fontsize=None, refresh=True):
[710]	585	"""
[2451]	586	Set the title of sub-plots. If multiple sub-plots are plotted,
[710]	587	multiple titles have to be specified.
[1819]	588	Parameters:
[2451]	589	title: a list of titles of sub-plots.
	590	fontsize: a font size of titles (integer)
[1819]	591	refresh: True (default) or False. If True, the plot is
[1824]	592	replotted based on the new parameter setting(s).
[1819]	593	Otherwise,the parameter(s) are set without replotting.
[710]	594	Example:
	595	# two panels are visible on the plotter
[2451]	596	plotter.set_title(['First Panel','Second Panel'])
[710]	597	"""
[226]	598	self._title = title
[1101]	599	if isinstance(fontsize, int):
	600	from matplotlib import rc as rcp
	601	rcp('axes', titlesize=fontsize)
[1819]	602	if refresh and self._data: self.plot(self._data)
[226]	603	return
	604
[1819]	605	def set_ordinate(self, ordinate=None, fontsize=None, refresh=True):
[710]	606	"""
	607	Set the y-axis label of the plot. If multiple panels are plotted,
	608	multiple labels have to be specified.
[1021]	609	Parameters:
	610	ordinate: a list of ordinate labels. None (default) let
	611	data determine the labels
[2451]	612	fontsize: a font size of vertical axis labels (integer)
[1819]	613	refresh: True (default) or False. If True, the plot is
[1824]	614	replotted based on the new parameter setting(s).
[1819]	615	Otherwise,the parameter(s) are set without replotting.
[710]	616	Example:
	617	# two panels are visible on the plotter
[2451]	618	plotter.set_ordinate(['First Y-Axis','Second Y-Axis'])
[710]	619	"""
[257]	620	self._ordinate = ordinate
[1101]	621	if isinstance(fontsize, int):
	622	from matplotlib import rc as rcp
	623	rcp('axes', labelsize=fontsize)
	624	rcp('ytick', labelsize=fontsize)
[1819]	625	if refresh and self._data: self.plot(self._data)
[257]	626	return
	627
[1819]	628	def set_abcissa(self, abcissa=None, fontsize=None, refresh=True):
[710]	629	"""
	630	Set the x-axis label of the plot. If multiple panels are plotted,
	631	multiple labels have to be specified.
[1021]	632	Parameters:
	633	abcissa: a list of abcissa labels. None (default) let
	634	data determine the labels
[2451]	635	fontsize: a font size of horizontal axis labels (integer)
[1819]	636	refresh: True (default) or False. If True, the plot is
[1824]	637	replotted based on the new parameter setting(s).
[1819]	638	Otherwise,the parameter(s) are set without replotting.
[710]	639	Example:
	640	# two panels are visible on the plotter
[2451]	641	plotter.set_ordinate(['First X-Axis','Second X-Axis'])
[710]	642	"""
[257]	643	self._abcissa = abcissa
[1101]	644	if isinstance(fontsize, int):
	645	from matplotlib import rc as rcp
	646	rcp('axes', labelsize=fontsize)
	647	rcp('xtick', labelsize=fontsize)
[1819]	648	if refresh and self._data: self.plot(self._data)
[257]	649	return
	650
[1819]	651	def set_colors(self, colmap, refresh=True):
[377]	652	"""
[1217]	653	Set the colours to be used. The plotter will cycle through
	654	these colours when lines are overlaid (stacking mode).
[1021]	655	Parameters:
[1217]	656	colmap: a list of colour names
[1819]	657	refresh: True (default) or False. If True, the plot is
[1824]	658	replotted based on the new parameter setting(s).
[1819]	659	Otherwise,the parameter(s) are set without replotting.
[710]	660	Example:
[2451]	661	plotter.set_colors('red green blue')
[710]	662	# If for example four lines are overlaid e.g I Q U V
	663	# 'I' will be 'red', 'Q' will be 'green', U will be 'blue'
	664	# and 'V' will be 'red' again.
	665	"""
[2451]	666	#if isinstance(colmap,str):
	667	# colmap = colmap.split()
	668	#self._plotter.palette(0, colormap=colmap)
	669	self._colormap = colmap
[1819]	670	if refresh and self._data: self.plot(self._data)
[710]	671
[1217]	672	# alias for english speakers
	673	set_colours = set_colors
	674
[1819]	675	def set_histogram(self, hist=True, linewidth=None, refresh=True):
[1021]	676	"""
	677	Enable/Disable histogram-like plotting.
	678	Parameters:
	679	hist: True (default) or False. The fisrt default
	680	is taken from the .asaprc setting
	681	plotter.histogram
[2451]	682	linewidth: a line width
[1819]	683	refresh: True (default) or False. If True, the plot is
[1824]	684	replotted based on the new parameter setting(s).
[1819]	685	Otherwise,the parameter(s) are set without replotting.
[1021]	686	"""
[1023]	687	self._hist = hist
[1101]	688	if isinstance(linewidth, float) or isinstance(linewidth, int):
	689	from matplotlib import rc as rcp
	690	rcp('lines', linewidth=linewidth)
[1819]	691	if refresh and self._data: self.plot(self._data)
[1023]	692
[1819]	693	def set_linestyles(self, linestyles=None, linewidth=None, refresh=True):
[710]	694	"""
[734]	695	Set the linestyles to be used. The plotter will cycle through
	696	these linestyles when lines are overlaid (stacking mode) AND
	697	only one color has been set.
[710]	698	Parameters:
[2451]	699	linestyles: a list of linestyles to use.
[710]	700	'line', 'dashed', 'dotted', 'dashdot',
	701	'dashdotdot' and 'dashdashdot' are
	702	possible
[2451]	703	linewidth: a line width
[1819]	704	refresh: True (default) or False. If True, the plot is
[1824]	705	replotted based on the new parameter setting(s).
[1819]	706	Otherwise,the parameter(s) are set without replotting.
[710]	707	Example:
[2451]	708	plotter.set_colors('black')
	709	plotter.set_linestyles('line dashed dotted dashdot')
[710]	710	# If for example four lines are overlaid e.g I Q U V
	711	# 'I' will be 'solid', 'Q' will be 'dashed',
	712	# U will be 'dotted' and 'V' will be 'dashdot'.
	713	"""
[2451]	714	#if isinstance(linestyles,str):
	715	# linestyles = linestyles.split()
	716	#self._plotter.palette(color=0,linestyle=0,linestyles=linestyles)
	717	self._linestyles = linestyles
[1101]	718	if isinstance(linewidth, float) or isinstance(linewidth, int):
	719	from matplotlib import rc as rcp
	720	rcp('lines', linewidth=linewidth)
[1819]	721	if refresh and self._data: self.plot(self._data)
[710]	722
[1819]	723	def set_font(self, refresh=True,**kwargs):
[1101]	724	"""
	725	Set font properties.
	726	Parameters:
	727	family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace'
	728	style: one of 'normal' (or 'roman'), 'italic' or 'oblique'
	729	weight: one of 'normal or 'bold'
	730	size: the 'general' font size, individual elements can be adjusted
	731	seperately
[1819]	732	refresh: True (default) or False. If True, the plot is
[1824]	733	replotted based on the new parameter setting(s).
[1819]	734	Otherwise,the parameter(s) are set without replotting.
[1101]	735	"""
	736	from matplotlib import rc as rcp
[1547]	737	fdict = {}
	738	for k,v in kwargs.iteritems():
	739	if v:
	740	fdict[k] = v
[1556]	741	self._fp = FontProperties(**fdict)
[1819]	742	if refresh and self._data: self.plot(self._data)
[1101]	743
[2037]	744	def set_margin(self,margin=[],refresh=True):
[1819]	745	"""
[2037]	746	Set margins between subplots and plot edges.
[1819]	747	Parameters:
[2037]	748	margin: a list of margins in figure coordinate (0-1),
[1824]	749	i.e., fraction of the figure width or height.
[1819]	750	The order of elements should be:
	751	[left, bottom, right, top, horizontal space btw panels,
[1824]	752	vertical space btw panels].
[1819]	753	refresh: True (default) or False. If True, the plot is
[1824]	754	replotted based on the new parameter setting(s).
[1819]	755	Otherwise,the parameter(s) are set without replotting.
	756	Note
[2037]	757	* When margin is not specified, the values are reset to the defaults
[1819]	758	of matplotlib.
[1824]	759	* If any element is set to be None, the current value is adopted.
[1819]	760	"""
[2037]	761	if margin == []: self._margins=self._reset_margin()
[1824]	762	else:
[2037]	763	self._margins=[None]*6
	764	self._margins[0:len(margin)]=margin
	765	#print "panel margin set to ",self._margins
[1819]	766	if refresh and self._data: self.plot(self._data)
	767
[2037]	768	def _reset_margin(self):
[1819]	769	ks=map(lambda x: 'figure.subplot.'+x,
	770	['left','bottom','right','top','hspace','wspace'])
	771	return map(matplotlib.rcParams.get,ks)
	772
[1259]	773	def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0,
[1146]	774	location=None):
	775	"""
[1158]	776	Plot a line catalog.
	777	Parameters:
	778	linecat: the linecatalog to plot
[1168]	779	doppler: the velocity shift to apply to the frequencies
[1158]	780	deltachan: the number of channels to include each side of the
	781	line to determine a local maximum/minimum
[1927]	782	rotate: the rotation (in degrees) for the text label (default 90.0)
[1158]	783	location: the location of the line annotation from the 'top',
	784	'bottom' or alternate (None - the default)
[1165]	785	Notes:
	786	If the spectrum is flagged no line will be drawn in that location.
[1146]	787	"""
[2451]	788	errmsg = "Cannot plot spectral lines. Need to plot scantable first."
[2453]	789	self._assert_plotter(action="halt",errmsg=errmsg)
[1259]	790	if not self._data:
	791	raise RuntimeError("No scantable has been plotted yet.")
[1146]	792	from asap._asap import linecatalog
[1259]	793	if not isinstance(linecat, linecatalog):
	794	raise ValueError("'linecat' isn't of type linecatalog.")
	795	if not self._data.get_unit().endswith("Hz"):
	796	raise RuntimeError("Can only overlay linecatalogs when data is in frequency.")
[1739]	797	from numpy import ma
[1146]	798	for j in range(len(self._plotter.subplots)):
	799	self._plotter.subplot(j)
	800	lims = self._plotter.axes.get_xlim()
[1153]	801	for row in range(linecat.nrow()):
[1259]	802	# get_frequency returns MHz
	803	base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 }
	804	restf = linecat.get_frequency(row)/base[self._data.get_unit()]
[1165]	805	c = 299792.458
[1174]	806	freq = restf*(1.0-doppler/c)
[1146]	807	if lims[0] < freq < lims[1]:
	808	if location is None:
	809	loc = 'bottom'
[1153]	810	if row%2: loc='top'
[1146]	811	else: loc = location
[1153]	812	maxys = []
	813	for line in self._plotter.axes.lines:
	814	v = line._x
	815	asc = v[0] < v[-1]
	816
	817	idx = None
	818	if not asc:
	819	if v[len(v)-1] <= freq <= v[0]:
	820	i = len(v)-1
	821	while i>=0 and v[i] < freq:
	822	idx = i
	823	i-=1
	824	else:
	825	if v[0] <= freq <= v[len(v)-1]:
	826	i = 0
	827	while i<len(v) and v[i] < freq:
	828	idx = i
	829	i+=1
	830	if idx is not None:
	831	lower = idx - deltachan
	832	upper = idx + deltachan
	833	if lower < 0: lower = 0
	834	if upper > len(v): upper = len(v)
	835	s = slice(lower, upper)
[1167]	836	y = line._y[s]
[1165]	837	maxy = ma.maximum(y)
	838	if isinstance( maxy, float):
	839	maxys.append(maxy)
[1164]	840	if len(maxys):
	841	peak = max(maxys)
[1165]	842	if peak > self._plotter.axes.get_ylim()[1]:
	843	loc = 'bottom'
[1164]	844	else:
	845	continue
[1157]	846	self._plotter.vline_with_label(freq, peak,
	847	linecat.get_name(row),
	848	location=loc, rotate=rotate)
[1153]	849	self._plotter.show(hardrefresh=False)
[1146]	850
[1153]	851
[710]	852	def save(self, filename=None, orientation=None, dpi=None):
	853	"""
[1927]	854	Save the plot to a file. The known formats are 'png', 'ps', 'eps'.
[377]	855	Parameters:
	856	filename: The name of the output file. This is optional
	857	and autodetects the image format from the file
	858	suffix. If non filename is specified a file
	859	called 'yyyymmdd_hhmmss.png' is created in the
	860	current directory.
[709]	861	orientation: optional parameter for postscript only (not eps).
	862	'landscape', 'portrait' or None (default) are valid.
	863	If None is choosen for 'ps' output, the plot is
	864	automatically oriented to fill the page.
[710]	865	dpi: The dpi of the output non-ps plot
[377]	866	"""
[2451]	867	errmsg = "Cannot save figure. Need to plot first."
[2453]	868	self._assert_plotter(action="halt",errmsg=errmsg)
[2451]	869
[709]	870	self._plotter.save(filename,orientation,dpi)
[377]	871	return
[709]	872
[1862]	873	@asaplog_post_dec
[1819]	874	def set_mask(self, mask=None, selection=None, refresh=True):
[525]	875	"""
[734]	876	Set a plotting mask for a specific polarization.
[2451]	877	This is useful for masking out 'noise' Pangle outside a source.
[734]	878	Parameters:
[920]	879	mask: a mask from scantable.create_mask
	880	selection: the spectra to apply the mask to.
[1819]	881	refresh: True (default) or False. If True, the plot is
[1824]	882	replotted based on the new parameter setting(s).
[1819]	883	Otherwise,the parameter(s) are set without replotting.
[734]	884	Example:
[920]	885	select = selector()
[2451]	886	select.setpolstrings('Pangle')
[920]	887	plotter.set_mask(mymask, select)
[734]	888	"""
[710]	889	if not self._data:
[920]	890	msg = "Can only set mask after a first call to plot()"
[1859]	891	raise RuntimeError(msg)
[920]	892	if len(mask):
	893	if isinstance(mask, list) or isinstance(mask, tuple):
	894	self._usermask = array(mask)
[710]	895	else:
[920]	896	self._usermask = mask
	897	if mask is None and selection is None:
	898	self._usermask = []
	899	self._maskselection = None
	900	if isinstance(selection, selector):
[947]	901	self._maskselection = {'b': selection.get_beams(),
	902	's': selection.get_scans(),
	903	'i': selection.get_ifs(),
	904	'p': selection.get_pols(),
[920]	905	't': [] }
[710]	906	else:
[920]	907	self._maskselection = None
[1819]	908	if refresh: self.plot(self._data)
[710]	909
[709]	910	def _slice_indeces(self, data):
	911	mn = self._minmaxx[0]
	912	mx = self._minmaxx[1]
	913	asc = data[0] < data[-1]
	914	start=0
	915	end = len(data)-1
	916	inc = 1
	917	if not asc:
	918	start = len(data)-1
	919	end = 0
	920	inc = -1
	921	# find min index
[1819]	922	#while start > 0 and data[start] < mn:
	923	# start+= inc
	924	minind=start
	925	for ind in xrange(start,end+inc,inc):
	926	if data[ind] > mn: break
	927	minind=ind
[709]	928	# find max index
[1819]	929	#while end > 0 and data[end] > mx:
	930	# end-=inc
	931	#if end > 0: end +=1
	932	maxind=end
	933	for ind in xrange(end,start-inc,-inc):
	934	if data[ind] < mx: break
	935	maxind=ind
	936	start=minind
	937	end=maxind
[709]	938	if start > end:
[1819]	939	return end,start+1
	940	elif start < end:
	941	return start,end+1
	942	else:
	943	return start,end
[709]	944
[710]	945	def _reset(self):
[920]	946	self._usermask = []
[710]	947	self._usermaskspectra = None
[1897]	948	self._offset = None
[920]	949	self.set_selection(None, False)
[2051]	950	self._reset_header()
[920]	951
[2051]	952	def _reset_header(self):
[2053]	953	self._headtext={'string': None, 'textobj': None}
[2051]	954
[920]	955	def _plot(self, scan):
[947]	956	savesel = scan.get_selection()
	957	sel = savesel + self._selection
[1910]	958	order = self._get_sortstring([self._panelling,self._stacking])
	959	if order:
	960	sel.set_order(order)
[947]	961	scan.set_selection(sel)
[920]	962	d = {'b': scan.getbeam, 's': scan.getscan,
[1949]	963	'i': scan.getif, 'p': scan.getpol, 't': scan.get_time,
[1989]	964	'r': int}#, '_r': int}
[920]	965
[1148]	966	polmodes = dict(zip(self._selection.get_pols(),
	967	self._selection.get_poltypes()))
	968	# this returns either a tuple of numbers or a length (ncycles)
	969	# convert this into lengths
	970	n0,nstack0 = self._get_selected_n(scan)
	971	if isinstance(n0, int): n = n0
[1175]	972	else: n = len(n0)
[1148]	973	if isinstance(nstack0, int): nstack = nstack0
[1175]	974	else: nstack = len(nstack0)
[1989]	975	# In case of row stacking
	976	rowstack = False
	977	titlemode = self._panelling
	978	if self._stacking == "r" and self._panelling != "r":
	979	rowstack = True
	980	titlemode = '_r'
[1913]	981	nptot = n
[1582]	982	maxpanel, maxstack = 16,16
[1913]	983	if nstack > maxstack:
	984	msg ="Scan to be overlayed contains more than %d selections.\n" \
	985	"Selecting first %d selections..." % (maxstack, maxstack)
[920]	986	asaplog.push(msg)
[1861]	987	asaplog.post('WARN')
[998]	988	nstack = min(nstack,maxstack)
[2038]	989	#n = min(n-self._ipanel-1,maxpanel)
	990	n = n-self._ipanel-1
[2011]	991
	992	ganged = False
[920]	993	if n > 1:
	994	ganged = rcParams['plotter.ganged']
[1819]	995	if self._panelling == 'i':
	996	ganged = False
[920]	997	if self._rows and self._cols:
	998	n = min(n,self._rows*self._cols)
	999	self._plotter.set_panels(rows=self._rows,cols=self._cols,
[2277]	1000	nplots=n,margin=self._margins,ganged=ganged)
[920]	1001	else:
[2038]	1002	n = min(n,maxpanel)
[2277]	1003	self._plotter.set_panels(rows=n,cols=0,nplots=n,margin=self._margins,ganged=ganged)
[920]	1004	else:
[2037]	1005	self._plotter.set_panels(margin=self._margins)
[1913]	1006	#r = 0
[1981]	1007	r = self._startrow
[920]	1008	nr = scan.nrow()
	1009	a0,b0 = -1,-1
	1010	allxlim = []
[1018]	1011	allylim = []
[1981]	1012	#newpanel=True
	1013	newpanel=False
[920]	1014	panelcount,stackcount = 0,0
[1981]	1015	# If this is not the first page
	1016	if r > 0:
	1017	# panelling value of the prev page
	1018	a0 = d[self._panelling](r-1)
	1019	# set the initial stackcount large not to plot
	1020	# the start row automatically
	1021	stackcount = nstack
	1022
[1002]	1023	while r < nr:
[920]	1024	a = d[self._panelling](r)
	1025	b = d[self._stacking](r)
	1026	if a > a0 and panelcount < n:
	1027	if n > 1:
	1028	self._plotter.subplot(panelcount)
	1029	self._plotter.palette(0)
	1030	#title
	1031	xlab = self._abcissa and self._abcissa[panelcount] \
	1032	or scan._getabcissalabel()
[1897]	1033	if self._offset and not self._abcissa:
	1034	xlab += " (relative)"
[920]	1035	ylab = self._ordinate and self._ordinate[panelcount] \
	1036	or scan._get_ordinate_label()
[1547]	1037	self._plotter.set_axes('xlabel', xlab)
	1038	self._plotter.set_axes('ylabel', ylab)
[1989]	1039	#lbl = self._get_label(scan, r, self._panelling, self._title)
	1040	lbl = self._get_label(scan, r, titlemode, self._title)
[920]	1041	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1042	if 0 <= panelcount < len(lbl):
	1043	lbl = lbl[panelcount]
	1044	else:
	1045	# get default label
[1989]	1046	#lbl = self._get_label(scan, r, self._panelling, None)
	1047	lbl = self._get_label(scan, r, titlemode, None)
[920]	1048	self._plotter.set_axes('title',lbl)
	1049	newpanel = True
[1913]	1050	stackcount = 0
[920]	1051	panelcount += 1
[1981]	1052	# save the start row to plot this panel for future revisit.
	1053	if self._panelling != 'r' and \
	1054	len(self._panelrows) < self._ipanel+1+panelcount:
	1055	self._panelrows += [r]
	1056
[1944]	1057	#if (b > b0 or newpanel) and stackcount < nstack:
[2277]	1058	if stackcount < nstack and (newpanel or rowstack or (a == a0 and b > b0)):
[920]	1059	y = []
	1060	if len(polmodes):
	1061	y = scan._getspectrum(r, polmodes[scan.getpol(r)])
	1062	else:
	1063	y = scan._getspectrum(r)
[1995]	1064	# flag application
	1065	mr = scan._getflagrow(r)
[1739]	1066	from numpy import ma, array
[1995]	1067	if mr:
	1068	y = ma.masked_array(y,mask=mr)
	1069	else:
	1070	m = scan._getmask(r)
	1071	from numpy import logical_not, logical_and
	1072	if self._maskselection and len(self._usermask) == len(m):
[2277]	1073	if d[self._stacking](r) in self._maskselection[self._stacking]:
[1995]	1074	m = logical_and(m, self._usermask)
[2277]	1075	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
[1995]	1076
[1897]	1077	x = array(scan._getabcissa(r))
	1078	if self._offset:
	1079	x += self._offset
[920]	1080	if self._minmaxx is not None:
	1081	s,e = self._slice_indeces(x)
	1082	x = x[s:e]
	1083	y = y[s:e]
[1096]	1084	if len(x) > 1024 and rcParams['plotter.decimate']:
	1085	fac = len(x)/1024
[920]	1086	x = x[::fac]
	1087	y = y[::fac]
	1088	llbl = self._get_label(scan, r, self._stacking, self._lmap)
	1089	if isinstance(llbl, list) or isinstance(llbl, tuple):
	1090	if 0 <= stackcount < len(llbl):
	1091	# use user label
	1092	llbl = llbl[stackcount]
	1093	else:
	1094	# get default label
	1095	llbl = self._get_label(scan, r, self._stacking, None)
	1096	self._plotter.set_line(label=llbl)
[1023]	1097	plotit = self._plotter.plot
	1098	if self._hist: plotit = self._plotter.hist
[1995]	1099	if len(x) > 0 and not mr:
[1146]	1100	plotit(x,y)
	1101	xlim= self._minmaxx or [min(x),max(x)]
	1102	allxlim += xlim
	1103	ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)]
	1104	allylim += ylim
[1819]	1105	else:
	1106	xlim = self._minmaxx or []
	1107	allxlim += xlim
	1108	ylim= self._minmaxy or []
	1109	allylim += ylim
[920]	1110	stackcount += 1
[1981]	1111	a0=a
	1112	b0=b
[920]	1113	# last in colour stack -> autoscale x
[1819]	1114	if stackcount == nstack and len(allxlim) > 0:
[920]	1115	allxlim.sort()
[1819]	1116	self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]])
[1989]	1117	if ganged:
	1118	allxlim = [allxlim[0],allxlim[-1]]
	1119	else:
	1120	# clear
	1121	allxlim =[]
[920]	1122
	1123	newpanel = False
[1981]	1124	#a0=a
	1125	#b0=b
[920]	1126	# ignore following rows
[1981]	1127	if (panelcount == n and stackcount == nstack) or (r == nr-1):
[1018]	1128	# last panel -> autoscale y if ganged
[1989]	1129	#if rcParams['plotter.ganged'] and len(allylim) > 0:
	1130	if ganged and len(allylim) > 0:
[1018]	1131	allylim.sort()
	1132	self._plotter.set_limits(ylim=[allylim[0],allylim[-1]])
[998]	1133	break
[920]	1134	r+=1 # next row
[1981]	1135
	1136	# save the current counter for multi-page plotting
	1137	self._startrow = r+1
	1138	self._ipanel += panelcount
[2147]	1139	if self.casabar_exists():
[1981]	1140	if self._ipanel >= nptot-1:
[1913]	1141	self._plotter.figmgr.casabar.disable_next()
	1142	else:
	1143	self._plotter.figmgr.casabar.enable_next()
[1981]	1144	if self._ipanel + 1 - panelcount > 0:
	1145	self._plotter.figmgr.casabar.enable_prev()
	1146	else:
	1147	self._plotter.figmgr.casabar.disable_prev()
	1148
[947]	1149	#reset the selector to the scantable's original
	1150	scan.set_selection(savesel)
[1824]	1151
[1819]	1152	#temporary switch-off for older matplotlib
	1153	#if self._fp is not None:
	1154	if self._fp is not None and getattr(self._plotter.figure,'findobj',False):
[1556]	1155	for o in self._plotter.figure.findobj(Text):
	1156	o.set_fontproperties(self._fp)
[920]	1157
[1910]	1158	def _get_sortstring(self, lorders):
	1159	d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO',
	1160	'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None }
[1944]	1161	if not (type(lorders) == list) and not (type(lorders) == tuple):
[1910]	1162	return None
	1163	if len(lorders) > 0:
	1164	lsorts = []
	1165	for order in lorders:
[1989]	1166	if order == "r":
	1167	# don't sort if row panelling/stacking
	1168	return None
[1910]	1169	ssort = d0[order]
	1170	if ssort:
	1171	lsorts.append(ssort)
	1172	return lsorts
	1173	return None
	1174
[1582]	1175	def set_selection(self, selection=None, refresh=True, **kw):
[1819]	1176	"""
	1177	Parameters:
	1178	selection: a selector object (default unset the selection)
	1179	refresh: True (default) or False. If True, the plot is
[1824]	1180	replotted based on the new parameter setting(s).
[1819]	1181	Otherwise,the parameter(s) are set without replotting.
	1182	"""
[1582]	1183	if selection is None:
	1184	# reset
	1185	if len(kw) == 0:
	1186	self._selection = selector()
	1187	else:
	1188	# try keywords
	1189	for k in kw:
	1190	if k not in selector.fields:
	1191	raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields))
	1192	self._selection = selector(**kw)
	1193	elif isinstance(selection, selector):
	1194	self._selection = selection
	1195	else:
	1196	raise TypeError("'selection' is not of type selector")
	1197
[1910]	1198	order = self._get_sortstring([self._panelling,self._stacking])
	1199	if order:
	1200	self._selection.set_order(order)
[1819]	1201	if refresh and self._data: self.plot(self._data)
[920]	1202
	1203	def _get_selected_n(self, scan):
[1148]	1204	d1 = {'b': scan.getbeamnos, 's': scan.getscannos,
[1910]	1205	'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle,
[1989]	1206	'r': scan.nrow}#, '_r': False}
[1148]	1207	d2 = { 'b': self._selection.get_beams(),
	1208	's': self._selection.get_scans(),
	1209	'i': self._selection.get_ifs(),
	1210	'p': self._selection.get_pols(),
[1910]	1211	't': self._selection.get_cycles(),
[1989]	1212	'r': False}#, '_r': 1}
[920]	1213	n = d2[self._panelling] or d1[self._panelling]()
	1214	nstack = d2[self._stacking] or d1[self._stacking]()
[1989]	1215	# handle row panelling/stacking
	1216	if self._panelling == 'r':
	1217	nstack = 1
	1218	elif self._stacking == 'r':
	1219	n = 1
[920]	1220	return n,nstack
	1221
	1222	def _get_label(self, scan, row, mode, userlabel=None):
[1153]	1223	if isinstance(userlabel, list) and len(userlabel) == 0:
	1224	userlabel = " "
[947]	1225	pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes()))
[920]	1226	if len(pms):
	1227	poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)])
	1228	else:
	1229	poleval = scan._getpollabel(scan.getpol(row),scan.poltype())
	1230	d = {'b': "Beam "+str(scan.getbeam(row)),
[1819]	1231	#'s': scan._getsourcename(row),
	1232	's': "Scan "+str(scan.getscan(row))+\
	1233	" ("+str(scan._getsourcename(row))+")",
[920]	1234	'i': "IF"+str(scan.getif(row)),
[964]	1235	'p': poleval,
[1910]	1236	't': str(scan.get_time(row)),
	1237	'r': "row "+str(row),
[1913]	1238	#'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) }
	1239	'_r': "" }
[920]	1240	return userlabel or d[mode]
[1153]	1241
[1819]	1242	def plotazel(self, scan=None, outfile=None):
[1391]	1243	"""
[1696]	1244	plot azimuth and elevation versus time of a scantable
[1391]	1245	"""
[1923]	1246	visible = rcParams['plotter.gui']
[1696]	1247	from matplotlib import pylab as PL
	1248	from matplotlib.dates import DateFormatter, timezone
	1249	from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator
[1391]	1250	from matplotlib.ticker import MultipleLocator
[1739]	1251	from numpy import array, pi
[1923]	1252	if not visible or not self._visible:
	1253	PL.ioff()
	1254	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1255	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1256	self._data = scan
	1257	self._outfile = outfile
[1556]	1258	dates = self._data.get_time(asdatetime=True)
[1391]	1259	t = PL.date2num(dates)
	1260	tz = timezone('UTC')
	1261	PL.cla()
	1262	PL.ioff()
	1263	PL.clf()
[2037]	1264	# Adjust subplot margins
	1265	if len(self._margins) != 6:
	1266	self.set_margin(refresh=False)
	1267	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1268	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1269	wspace=wsp,hspace=hsp)
[1824]	1270
[1391]	1271	tdel = max(t) - min(t)
	1272	ax = PL.subplot(2,1,1)
	1273	el = array(self._data.get_elevation())*180./pi
	1274	PL.ylabel('El [deg.]')
	1275	dstr = dates[0].strftime('%Y/%m/%d')
	1276	if tdel > 1.0:
	1277	dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d')
	1278	dstr = dstr + " - " + dstr2
	1279	majloc = DayLocator()
	1280	minloc = HourLocator(range(0,23,12))
	1281	timefmt = DateFormatter("%b%d")
[1696]	1282	elif tdel > 24./60.:
	1283	timefmt = DateFormatter('%H:%M')
	1284	majloc = HourLocator()
	1285	minloc = MinuteLocator(30)
[1391]	1286	else:
[1696]	1287	timefmt = DateFormatter('%H:%M')
	1288	majloc = MinuteLocator(interval=5)
	1289	minloc = SecondLocator(30)
	1290
[1391]	1291	PL.title(dstr)
[1819]	1292	if tdel == 0.0:
	1293	th = (t - PL.floor(t))*24.0
	1294	PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b')
	1295	else:
	1296	PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz)
	1297	#ax.grid(True)
	1298	ax.xaxis.set_major_formatter(timefmt)
	1299	ax.xaxis.set_major_locator(majloc)
	1300	ax.xaxis.set_minor_locator(minloc)
[1391]	1301	ax.yaxis.grid(True)
[1819]	1302	yloc = MultipleLocator(30)
	1303	ax.set_ylim(0,90)
	1304	ax.yaxis.set_major_locator(yloc)
[1391]	1305	if tdel > 1.0:
	1306	labels = ax.get_xticklabels()
	1307	# PL.setp(labels, fontsize=10, rotation=45)
	1308	PL.setp(labels, fontsize=10)
[1819]	1309
[1391]	1310	# Az plot
	1311	az = array(self._data.get_azimuth())*180./pi
	1312	if min(az) < 0:
	1313	for irow in range(len(az)):
	1314	if az[irow] < 0: az[irow] += 360.0
	1315
[1819]	1316	ax2 = PL.subplot(2,1,2)
	1317	#PL.xlabel('Time (UT [hour])')
	1318	PL.ylabel('Az [deg.]')
	1319	if tdel == 0.0:
	1320	PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b')
	1321	else:
	1322	PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz)
	1323	ax2.xaxis.set_major_formatter(timefmt)
	1324	ax2.xaxis.set_major_locator(majloc)
	1325	ax2.xaxis.set_minor_locator(minloc)
	1326	#ax2.grid(True)
	1327	ax2.set_ylim(0,360)
[1696]	1328	ax2.yaxis.grid(True)
[1819]	1329	#hfmt = DateFormatter('%H')
	1330	#hloc = HourLocator()
	1331	yloc = MultipleLocator(60)
	1332	ax2.yaxis.set_major_locator(yloc)
	1333	if tdel > 1.0:
	1334	labels = ax2.get_xticklabels()
	1335	PL.setp(labels, fontsize=10)
	1336	PL.xlabel('Time (UT [day])')
	1337	else:
	1338	PL.xlabel('Time (UT [hour])')
	1339
[1391]	1340	PL.ion()
	1341	PL.draw()
[2416]	1342	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[1819]	1343	if (self._outfile is not None):
	1344	PL.savefig(self._outfile)
[1391]	1345
[1819]	1346	def plotpointing(self, scan=None, outfile=None):
[1391]	1347	"""
	1348	plot telescope pointings
	1349	"""
[1923]	1350	visible = rcParams['plotter.gui']
[1696]	1351	from matplotlib import pylab as PL
[1819]	1352	from numpy import array, pi
[1923]	1353	if not visible or not self._visible:
	1354	PL.ioff()
	1355	from matplotlib.backends.backend_agg import FigureCanvasAgg
	1356	PL.gcf().canvas.switch_backends(FigureCanvasAgg)
[1819]	1357	self._data = scan
	1358	self._outfile = outfile
[1391]	1359	dir = array(self._data.get_directionval()).transpose()
	1360	ra = dir[0]*180./pi
	1361	dec = dir[1]*180./pi
	1362	PL.cla()
[1819]	1363	#PL.ioff()
[1391]	1364	PL.clf()
[2037]	1365	# Adjust subplot margins
	1366	if len(self._margins) != 6:
	1367	self.set_margin(refresh=False)
	1368	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1369	PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
	1370	wspace=wsp,hspace=hsp)
	1371	ax = PL.gca()
	1372	#ax = PL.axes([0.1,0.1,0.8,0.8])
	1373	#ax = PL.axes([0.1,0.1,0.8,0.8])
[1391]	1374	ax.set_aspect('equal')
[1696]	1375	PL.plot(ra, dec, 'b,')
[1391]	1376	PL.xlabel('RA [deg.]')
	1377	PL.ylabel('Declination [deg.]')
	1378	PL.title('Telescope pointings')
	1379	[xmin,xmax,ymin,ymax] = PL.axis()
	1380	PL.axis([xmax,xmin,ymin,ymax])
[2416]	1381	PL.ion()
[1391]	1382	PL.draw()
[2416]	1383	if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show()
[1819]	1384	if (self._outfile is not None):
	1385	PL.savefig(self._outfile)
	1386
	1387	# plot total power data
	1388	# plotting in time is not yet implemented..
[1862]	1389	@asaplog_post_dec
[1819]	1390	def plottp(self, scan=None, outfile=None):
[2453]	1391	self._assert_plotter(action="reload")
[1819]	1392	self._plotter.hold()
	1393	self._plotter.clear()
	1394	from asap import scantable
	1395	if not self._data and not scan:
	1396	msg = "Input is not a scantable"
	1397	raise TypeError(msg)
	1398	if isinstance(scan, scantable):
	1399	if self._data is not None:
	1400	if scan != self._data:
	1401	self._data = scan
	1402	# reset
	1403	self._reset()
	1404	else:
	1405	self._data = scan
	1406	self._reset()
	1407	# ranges become invalid when abcissa changes?
	1408	#if self._abcunit and self._abcunit != self._data.get_unit():
	1409	# self._minmaxx = None
	1410	# self._minmaxy = None
	1411	# self._abcunit = self._data.get_unit()
	1412	# self._datamask = None
	1413
[2037]	1414	# Adjust subplot margins
	1415	if len(self._margins) !=6: self.set_margin(refresh=False)
	1416	lef, bot, rig, top, wsp, hsp = self._margins
[1819]	1417	self._plotter.figure.subplots_adjust(
	1418	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
[2147]	1419	if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button()
[1819]	1420	self._plottp(self._data)
	1421	if self._minmaxy is not None:
	1422	self._plotter.set_limits(ylim=self._minmaxy)
	1423	self._plotter.release()
	1424	self._plotter.tidy()
	1425	self._plotter.show(hardrefresh=False)
	1426	return
	1427
	1428	def _plottp(self,scan):
	1429	"""
	1430	private method for plotting total power data
	1431	"""
	1432	from numpy import ma, array, arange, logical_not
	1433	r=0
	1434	nr = scan.nrow()
	1435	a0,b0 = -1,-1
	1436	allxlim = []
	1437	allylim = []
	1438	y=[]
	1439	self._plotter.set_panels()
	1440	self._plotter.palette(0)
	1441	#title
	1442	#xlab = self._abcissa and self._abcissa[panelcount] \
	1443	# or scan._getabcissalabel()
	1444	#ylab = self._ordinate and self._ordinate[panelcount] \
	1445	# or scan._get_ordinate_label()
	1446	xlab = self._abcissa or 'row number' #or Time
	1447	ylab = self._ordinate or scan._get_ordinate_label()
	1448	self._plotter.set_axes('xlabel',xlab)
	1449	self._plotter.set_axes('ylabel',ylab)
	1450	lbl = self._get_label(scan, r, 's', self._title)
	1451	if isinstance(lbl, list) or isinstance(lbl, tuple):
	1452	# if 0 <= panelcount < len(lbl):
	1453	# lbl = lbl[panelcount]
	1454	# else:
	1455	# get default label
	1456	lbl = self._get_label(scan, r, self._panelling, None)
	1457	self._plotter.set_axes('title',lbl)
	1458	y=array(scan._get_column(scan._getspectrum,-1))
	1459	m = array(scan._get_column(scan._getmask,-1))
	1460	y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
	1461	x = arange(len(y))
	1462	# try to handle spectral data somewhat...
	1463	l,m = y.shape
	1464	if m > 1:
	1465	y=y.mean(axis=1)
	1466	plotit = self._plotter.plot
	1467	llbl = self._get_label(scan, r, self._stacking, None)
	1468	self._plotter.set_line(label=llbl)
	1469	if len(x) > 0:
	1470	plotit(x,y)
	1471
	1472
	1473	# forwards to matplotlib.Figure.text
	1474	def figtext(self, args, *kwargs):
	1475	"""
	1476	Add text to figure at location x,y (relative 0-1 coords).
	1477	This method forwards args and *kwargs to a Matplotlib method,
	1478	matplotlib.Figure.text.
	1479	See the method help for detailed information.
	1480	"""
[2453]	1481	self._assert_plotter(action="reload")
[1819]	1482	self._plotter.text(args, *kwargs)
	1483	# end matplotlib.Figure.text forwarding function
	1484
	1485
	1486	# printing header information
[1862]	1487	@asaplog_post_dec
[2053]	1488	def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''):
[1819]	1489	"""
	1490	print data (scantable) header on the plot and/or logger.
[2056]	1491	To plot the header on the plot, this method should be called after
	1492	plotting spectra by the method, asapplotter.plot.
[1819]	1493	Parameters:
[1824]	1494	plot: whether or not print header info on the plot.
[2053]	1495	fontsize: header font size (valid only plot=True)
[1819]	1496	logger: whether or not print header info on the logger.
	1497	selstr: additional selection string (not verified)
[2053]	1498	extrastr: additional string to print at the beginning (not verified)
[1819]	1499	"""
[1859]	1500	if not plot and not logger:
	1501	return
	1502	if not self._data:
	1503	raise RuntimeError("No scantable has been set yet.")
[1824]	1504	# Now header will be printed on plot and/or logger.
	1505	# Get header information and format it.
[2112]	1506	ssum=self._data._list_header()
[1819]	1507	# Print Observation header to the upper-left corner of plot
[2290]	1508	headstr=[ssum[0:ssum.find('Obs. Type:')]]
	1509	headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')])
[2053]	1510	if extrastr != '':
	1511	headstr[0]=extrastr+'\n'+headstr[0]
	1512	self._headtext['extrastr'] = extrastr
[2112]	1513	if selstr != '':
	1514	selstr += '\n'
	1515	self._headtext['selstr'] = selstr
[2056]	1516	ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none')
[2053]	1517	headstr.append('*Selections*\n'+ssel)
[1824]	1518
[2051]	1519	if plot:
[2451]	1520	errmsg = "Can plot header only after the first call to plot()."
[2453]	1521	self._assert_plotter(action="halt",errmsg=errmsg)
[1819]	1522	self._plotter.hold()
[2053]	1523	self._header_plot(headstr,fontsize=fontsize)
[1819]	1524	import time
[2106]	1525	self._plotter.figure.text(0.99,0.01,
[1819]	1526	time.strftime("%a %d %b %Y %H:%M:%S %Z"),
	1527	horizontalalignment='right',
	1528	verticalalignment='bottom',fontsize=8)
	1529	self._plotter.release()
	1530	if logger:
[2053]	1531	selstr = "Selections: "+ssel
[1819]	1532	asaplog.push("----------------\n Plot Summary\n----------------")
[2053]	1533	asaplog.push(extrastr)
[2290]	1534	asaplog.push(ssum[0:ssum.find('Selection:')]\
[2112]	1535	+ selstr)
[2053]	1536	self._headtext['string'] = headstr
	1537	del ssel, ssum, headstr
[2051]	1538
[2053]	1539	def _header_plot(self, texts, fontsize=9):
	1540	self._headtext['textobj']=[]
	1541	nstcol=len(texts)
	1542	for i in range(nstcol):
	1543	self._headtext['textobj'].append(
	1544	self._plotter.figure.text(0.03+float(i)/nstcol,0.98,
	1545	texts[i],
	1546	horizontalalignment='left',
	1547	verticalalignment='top',
	1548	fontsize=fontsize))
	1549
	1550	def clear_header(self):
	1551	if not self._headtext['textobj']:
	1552	asaplog.push("No header has been plotted. Exit without any operation")
	1553	asaplog.post("WARN")
[2453]	1554	elif self._assert_plotter(action="status"):
[2053]	1555	self._plotter.hold()
	1556	for textobj in self._headtext['textobj']:
	1557	#if textobj.get_text() in self._headstring:
	1558	try:
	1559	textobj.remove()
	1560	except NotImplementedError:
	1561	self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj))
	1562	self._plotter.release()
	1563	self._reset_header()

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