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source: trunk/python/asaplotbase.py@ 1544

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Last change on this file since 1544 was 1535, checked in by Malte Marquarding, 16 years ago
Fix for Ticket #153; matplotlib changed the api in 0.98. Using conditional to test for this
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
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[705]	1	"""
	2	ASAP plotting class based on matplotlib.
	3	"""
	4
	5	import sys
	6	from re import match
	7
	8	import matplotlib
	9
	10	from matplotlib.figure import Figure, Text
[1147]	11	from matplotlib.font_manager import FontProperties as FP
[705]	12	from matplotlib.numerix import sqrt
	13	from matplotlib import rc, rcParams
[710]	14	from asap import rcParams as asaprcParams
[1259]	15	from matplotlib.ticker import OldScalarFormatter
[1019]	16	from matplotlib.ticker import NullLocator
[1147]	17
[1425]	18	# API change in mpl >= 0.98
	19	try:
	20	from matplotlib.transforms import blended_transform_factory
	21	except ImportError:
	22	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
	23
[1095]	24	if int(matplotlib.__version__.split(".")[1]) < 87:
	25	print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1019]	26
[1259]	27	#class MyFormatter(OldScalarFormatter):
	28	# def __call__(self, x, pos=None):
	29	# last = len(self.locs)-2
	30	# if pos==0:
	31	# return ''
	32	# else: return OldScalarFormatter.__call__(self, x, pos)
[1019]	33
[705]	34	class asaplotbase:
	35	"""
	36	ASAP plotting base class based on matplotlib.
	37	"""
	38
	39	def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
[1019]	40	"""
	41	Create a new instance of the ASAPlot plotting class.
[705]	42
[1019]	43	If rows < 1 then a separate call to set_panels() is required to define
	44	the panel layout; refer to the doctext for set_panels().
	45	"""
[705]	46	self.is_dead = False
[1019]	47	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	48	self.canvas = None
	49
[1019]	50	self.set_title(title)
	51	self.subplots = []
	52	if rows > 0:
	53	self.set_panels(rows, cols)
[705]	54
[710]	55	# Set matplotlib default colour sequence.
	56	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	57
[710]	58	c = asaprcParams['plotter.colours']
	59	if isinstance(c,str) and len(c) > 0:
	60	self.colormap = c.split()
	61
	62	self.lsalias = {"line": [1,0],
	63	"dashdot": [4,2,1,2],
	64	"dashed" : [4,2,4,2],
	65	"dotted" : [1,2],
	66	"dashdotdot": [4,2,1,2,1,2],
	67	"dashdashdot": [4,2,4,2,1,2]
	68	}
	69
	70	styles = "line dashed dotted dashdot".split()
	71	c = asaprcParams['plotter.linestyles']
	72	if isinstance(c,str) and len(c) > 0:
	73	styles = c.split()
	74	s = []
	75	for ls in styles:
	76	if self.lsalias.has_key(ls):
	77	s.append(self.lsalias.get(ls))
	78	else:
	79	s.append('-')
	80	self.linestyles = s
	81
[705]	82	self.color = 0;
[710]	83	self.linestyle = 0;
[1019]	84	self.attributes = {}
	85	self.loc = 0
[705]	86
[1019]	87	self.buffering = buffering
[705]	88
	89	def clear(self):
[1019]	90	"""
[1147]	91	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	92	"""
[705]	93
[1019]	94	for i in range(len(self.lines)):
	95	self.delete(i)
	96	self.axes.clear()
	97	self.color = 0
	98	self.lines = []
[705]	99
[710]	100	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	101	if colormap:
[710]	102	if isinstance(colormap,list):
	103	self.colormap = colormap
	104	elif isinstance(colormap,str):
	105	self.colormap = colormap.split()
[705]	106	if 0 <= color < len(self.colormap):
	107	self.color = color
[710]	108	if linestyles:
	109	self.linestyles = []
	110	if isinstance(linestyles,list):
	111	styles = linestyles
	112	elif isinstance(linestyles,str):
	113	styles = linestyles.split()
	114	for ls in styles:
	115	if self.lsalias.has_key(ls):
	116	self.linestyles.append(self.lsalias.get(ls))
	117	else:
	118	self.linestyles.append(self.lsalias.get('line'))
	119	if 0 <= linestyle < len(self.linestyles):
	120	self.linestyle = linestyle
[705]	121
	122	def delete(self, numbers=None):
[1019]	123	"""
	124	Delete the 0-relative line number, default is to delete the last.
	125	The remaining lines are NOT renumbered.
	126	"""
[705]	127
[1019]	128	if numbers is None: numbers = [len(self.lines)-1]
[705]	129
[1019]	130	if not hasattr(numbers, '__iter__'):
	131	numbers = [numbers]
[705]	132
[1019]	133	for number in numbers:
	134	if 0 <= number < len(self.lines):
	135	if self.lines[number] is not None:
	136	for line in self.lines[number]:
	137	line.set_linestyle('None')
	138	self.lines[number] = None
	139	self.show()
[705]	140
	141	def get_line(self):
[1019]	142	"""
	143	Get the current default line attributes.
	144	"""
	145	return self.attributes
[705]	146
	147
[1086]	148	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	149	"""
	150	Plot a histogram. N.B. the x values refer to the start of the
	151	histogram bin.
[705]	152
[1019]	153	fmt is the line style as in plot().
	154	"""
[1086]	155	from matplotlib.numerix import array
	156	from matplotlib.numerix.ma import MaskedArray
[1019]	157	if x is None:
	158	if y is None: return
[1023]	159	x = range(len(y))
[705]	160
[1019]	161	if len(x) != len(y):
	162	return
	163	l2 = 2*len(x)
[1023]	164	x2 = range(l2)
[1086]	165	y2 = range(12)
[1023]	166	y2 = range(l2)
	167	m2 = range(l2)
[1086]	168	ymsk = y.raw_mask()
	169	ydat = y.raw_data()
[1023]	170	for i in range(l2):
[1019]	171	x2[i] = x[i/2]
[1086]	172	m2[i] = ymsk[i/2]
[705]	173
[1023]	174	y2[0] = 0.0
[1019]	175	for i in range(1,l2):
[1086]	176	y2[i] = ydat[(i-1)/2]
[705]	177
[1086]	178	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	179
	180
	181	def hold(self, hold=True):
[1019]	182	"""
	183	Buffer graphics until subsequently released.
	184	"""
	185	self.buffering = hold
[705]	186
	187
	188	def legend(self, loc=None):
[1019]	189	"""
	190	Add a legend to the plot.
[705]	191
[1019]	192	Any other value for loc else disables the legend:
	193	1: upper right
	194	2: upper left
	195	3: lower left
	196	4: lower right
	197	5: right
	198	6: center left
	199	7: center right
	200	8: lower center
	201	9: upper center
	202	10: center
[705]	203
[1019]	204	"""
[1095]	205	if isinstance(loc, int):
[1098]	206	self.loc = None
	207	if 0 <= loc <= 10: self.loc = loc
[1095]	208	else:
	209	self.loc = None
	210	#self.show()
[705]	211
	212
[1086]	213	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	214	"""
	215	Plot the next line in the current frame using the current line
	216	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	217
[1019]	218	The argument list works a bit like the matlab plot() function.
	219	"""
	220	if x is None:
	221	if y is None: return
	222	x = range(len(y))
[705]	223
[1019]	224	elif y is None:
	225	y = x
	226	x = range(len(y))
[1086]	227	if fmt is None:
	228	line = self.axes.plot(x, y)
[1019]	229	else:
[1086]	230	line = self.axes.plot(x, y, fmt)
[705]	231
[1019]	232	# Add to an existing line?
[1086]	233	i = None
[1019]	234	if add is None or len(self.lines) < add < 0:
	235	# Don't add.
	236	self.lines.append(line)
	237	i = len(self.lines) - 1
	238	else:
	239	if add == 0: add = len(self.lines)
	240	i = add - 1
	241	self.lines[i].extend(line)
[705]	242
[1019]	243	# Set/reset attributes for the line.
	244	gotcolour = False
	245	for k, v in self.attributes.iteritems():
	246	if k == 'color': gotcolour = True
	247	for segment in self.lines[i]:
	248	getattr(segment, "set_%s"%k)(v)
[705]	249
[1019]	250	if not gotcolour and len(self.colormap):
	251	for segment in self.lines[i]:
	252	getattr(segment, "set_color")(self.colormap[self.color])
[710]	253	if len(self.colormap) == 1:
	254	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	255
[1019]	256	self.color += 1
	257	if self.color >= len(self.colormap):
	258	self.color = 0
[705]	259
[710]	260	if len(self.colormap) == 1:
	261	self.linestyle += 1
[1019]	262	if self.linestyle >= len(self.linestyles):
	263	self.linestyle = 0
[710]	264
[1019]	265	self.show()
[705]	266
	267
	268	def position(self):
[1019]	269	"""
	270	Use the mouse to get a position from a graph.
	271	"""
[705]	272
[1019]	273	def position_disable(event):
	274	self.register('button_press', None)
	275	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	276
[1019]	277	print 'Press any mouse button...'
	278	self.register('button_press', position_disable)
[705]	279
	280
	281	def region(self):
[1019]	282	"""
	283	Use the mouse to get a rectangular region from a plot.
[705]	284
[1019]	285	The return value is [x0, y0, x1, y1] in world coordinates.
	286	"""
[705]	287
[1019]	288	def region_start(event):
	289	height = self.canvas.figure.bbox.height()
	290	self.rect = {'fig': None, 'height': height,
	291	'x': event.x, 'y': height - event.y,
	292	'world': [event.xdata, event.ydata,
	293	event.xdata, event.ydata]}
	294	self.register('button_press', None)
	295	self.register('motion_notify', region_draw)
	296	self.register('button_release', region_disable)
[705]	297
[1019]	298	def region_draw(event):
	299	self.canvas._tkcanvas.delete(self.rect['fig'])
	300	self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
	301	self.rect['x'], self.rect['y'],
	302	event.x, self.rect['height'] - event.y)
[705]	303
[1019]	304	def region_disable(event):
	305	self.register('motion_notify', None)
	306	self.register('button_release', None)
[705]	307
[1019]	308	self.canvas._tkcanvas.delete(self.rect['fig'])
[705]	309
[1019]	310	self.rect['world'][2:4] = [event.xdata, event.ydata]
	311	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	312	self.rect['world'][1], self.rect['world'][2],
	313	self.rect['world'][3])
[705]	314
[1019]	315	self.register('button_press', region_start)
[705]	316
[1019]	317	# This has to be modified to block and return the result (currently
	318	# printed by region_disable) when that becomes possible in matplotlib.
[705]	319
[1019]	320	return [0.0, 0.0, 0.0, 0.0]
[705]	321
	322
	323	def register(self, type=None, func=None):
[1019]	324	"""
	325	Register, reregister, or deregister events of type 'button_press',
	326	'button_release', or 'motion_notify'.
[705]	327
[1019]	328	The specified callback function should have the following signature:
[705]	329
[1019]	330	def func(event)
[705]	331
[1019]	332	where event is an MplEvent instance containing the following data:
[705]	333
[1019]	334	name # Event name.
	335	canvas # FigureCanvas instance generating the event.
	336	x = None # x position - pixels from left of canvas.
	337	y = None # y position - pixels from bottom of canvas.
	338	button = None # Button pressed: None, 1, 2, 3.
	339	key = None # Key pressed: None, chr(range(255)), shift,
	340	win, or control
	341	inaxes = None # Axes instance if cursor within axes.
	342	xdata = None # x world coordinate.
	343	ydata = None # y world coordinate.
[705]	344
[1019]	345	For example:
[705]	346
[1019]	347	def mouse_move(event):
	348	print event.xdata, event.ydata
[705]	349
[1019]	350	a = asaplot()
	351	a.register('motion_notify', mouse_move)
[705]	352
[1019]	353	If func is None, the event is deregistered.
[705]	354
[1019]	355	Note that in TkAgg keyboard button presses don't generate an event.
	356	"""
[705]	357
[1019]	358	if not self.events.has_key(type): return
[705]	359
[1019]	360	if func is None:
	361	if self.events[type] is not None:
	362	# It's not clear that this does anything.
	363	self.canvas.mpl_disconnect(self.events[type])
	364	self.events[type] = None
[705]	365
[1019]	366	# It seems to be necessary to return events to the toolbar.
	367	if type == 'motion_notify':
	368	self.canvas.mpl_connect(type + '_event',
	369	self.figmgr.toolbar.mouse_move)
	370	elif type == 'button_press':
	371	self.canvas.mpl_connect(type + '_event',
	372	self.figmgr.toolbar.press)
	373	elif type == 'button_release':
	374	self.canvas.mpl_connect(type + '_event',
	375	self.figmgr.toolbar.release)
[705]	376
[1019]	377	else:
	378	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	379
	380
	381	def release(self):
[1019]	382	"""
	383	Release buffered graphics.
	384	"""
	385	self.buffering = False
	386	self.show()
[705]	387
	388
[1095]	389	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	390	"""
	391	Save the plot to a file.
[705]	392
[1019]	393	fname is the name of the output file. The image format is determined
	394	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	395	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	396	directory.
	397	"""
[1095]	398	from asap import rcParams
	399	if papertype is None:
	400	papertype = rcParams['plotter.papertype']
[1019]	401	if fname is None:
	402	from datetime import datetime
	403	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	404	fname = 'asap'+dstr+'.png'
[705]	405
[1019]	406	d = ['png','.ps','eps']
[705]	407
[1019]	408	from os.path import expandvars
	409	fname = expandvars(fname)
[705]	410
[1019]	411	if fname[-3:].lower() in d:
	412	try:
[705]	413	if fname[-3:].lower() == ".ps":
[1020]	414	from matplotlib import __version__ as mv
[1479]	415	w = self.figure.get_figwidth()
	416	h = self.figure.get_figheight()
[1019]	417
[705]	418	if orientation is None:
[1147]	419	# oriented
[705]	420	if w > h:
	421	orientation = 'landscape'
	422	else:
	423	orientation = 'portrait'
[1095]	424	from matplotlib.backends.backend_ps import papersize
	425	pw,ph = papersize[papertype.lower()]
[1025]	426	ds = None
	427	if orientation == 'landscape':
[1095]	428	ds = min(ph/w, pw/h)
[1025]	429	else:
[1095]	430	ds = min(pw/w, ph/h)
[1025]	431	ow = ds * w
	432	oh = ds * h
[1479]	433	self.figure.set_size_inches((ow, oh))
[1095]	434	self.figure.savefig(fname, orientation=orientation,
	435	papertype=papertype.lower())
[1479]	436	self.figure.set_size_inches((w, h))
[705]	437	print 'Written file %s' % (fname)
[1019]	438	else:
[705]	439	if dpi is None:
	440	dpi =150
[1025]	441	self.figure.savefig(fname,dpi=dpi)
[705]	442	print 'Written file %s' % (fname)
[1019]	443	except IOError, msg:
	444	print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
	445	return
	446	else:
	447	print "Invalid image type. Valid types are:"
	448	print "'ps', 'eps', 'png'"
[705]	449
	450
	451	def set_axes(self, what=None, args, *kwargs):
[1019]	452	"""
	453	Set attributes for the axes by calling the relevant Axes.set_*()
	454	method. Colour translation is done as described in the doctext
	455	for palette().
	456	"""
[705]	457
[1019]	458	if what is None: return
	459	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	460
[1153]	461	key = "colour"
	462	if kwargs.has_key(key):
	463	val = kwargs.pop(key)
	464	kwargs["color"] = val
[705]	465
[1153]	466	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	467
[1153]	468	self.show(hardrefresh=False)
[705]	469
[1019]	470
[705]	471	def set_figure(self, what=None, args, *kwargs):
[1019]	472	"""
	473	Set attributes for the figure by calling the relevant Figure.set_*()
	474	method. Colour translation is done as described in the doctext
	475	for palette().
	476	"""
[705]	477
[1019]	478	if what is None: return
	479	if what[-6:] == 'colour': what = what[:-6] + 'color'
	480	#if what[-5:] == 'color' and len(args):
	481	# args = (get_colour(args[0]),)
[705]	482
[1019]	483	newargs = {}
	484	for k, v in kwargs.iteritems():
	485	k = k.lower()
	486	if k == 'colour': k = 'color'
	487	newargs[k] = v
[705]	488
[1019]	489	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	490	self.show(hardrefresh=False)
[705]	491
	492
	493	def set_limits(self, xlim=None, ylim=None):
[1019]	494	"""
	495	Set x-, and y-limits for each subplot.
[705]	496
[1019]	497	xlim = [xmin, xmax] as in axes.set_xlim().
	498	ylim = [ymin, ymax] as in axes.set_ylim().
	499	"""
	500	for s in self.subplots:
	501	self.axes = s['axes']
	502	self.lines = s['lines']
[705]	503	oldxlim = list(self.axes.get_xlim())
	504	oldylim = list(self.axes.get_ylim())
	505	if xlim is not None:
	506	for i in range(len(xlim)):
	507	if xlim[i] is not None:
	508	oldxlim[i] = xlim[i]
[1019]	509	if ylim is not None:
[705]	510	for i in range(len(ylim)):
	511	if ylim[i] is not None:
	512	oldylim[i] = ylim[i]
	513	self.axes.set_xlim(oldxlim)
	514	self.axes.set_ylim(oldylim)
	515	return
	516
	517
	518	def set_line(self, number=None, **kwargs):
[1019]	519	"""
	520	Set attributes for the specified line, or else the next line(s)
	521	to be plotted.
[705]	522
[1019]	523	number is the 0-relative number of a line that has already been
	524	plotted. If no such line exists, attributes are recorded and used
	525	for the next line(s) to be plotted.
[705]	526
[1019]	527	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	528
[1019]	529	import matplotlib
	530	help(matplotlib.lines)
[705]	531
[1019]	532	The set_* methods of class Line2D define the attribute names and
	533	values. For non-US usage, "colour" is recognized as synonymous with
	534	"color".
[705]	535
[1019]	536	Set the value to None to delete an attribute.
[705]	537
[1019]	538	Colour translation is done as described in the doctext for palette().
	539	"""
[705]	540
[1019]	541	redraw = False
	542	for k, v in kwargs.iteritems():
	543	k = k.lower()
	544	if k == 'colour': k = 'color'
[705]	545
[1019]	546	if 0 <= number < len(self.lines):
	547	if self.lines[number] is not None:
	548	for line in self.lines[number]:
	549	getattr(line, "set_%s"%k)(v)
	550	redraw = True
	551	else:
	552	if v is None:
	553	del self.attributes[k]
	554	else:
	555	self.attributes[k] = v
[705]	556
[1153]	557	if redraw: self.show(hardrefresh=False)
[705]	558
	559
	560	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[1019]	561	"""
	562	Set the panel layout.
[705]	563
[1019]	564	rows and cols, if cols != 0, specify the number of rows and columns in
	565	a regular layout. (Indexing of these panels in matplotlib is row-
	566	major, i.e. column varies fastest.)
[705]	567
[1019]	568	cols == 0 is interpreted as a retangular layout that accomodates
	569	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	570	rows == 2, cols == 3.
[705]	571
[1019]	572	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	573	the configuration specified by rows and cols to be added to the
	574	current figure as its next 0-relative panel number (i). This allows
	575	non-regular panel layouts to be constructed via multiple calls. Any
	576	other value of n clears the plot and produces a rectangular array of
	577	empty panels. The number of these may be limited by nplots.
	578	"""
	579	if n < 0 and len(self.subplots):
	580	self.figure.clear()
	581	self.set_title()
[705]	582
[1019]	583	if rows < 1: rows = 1
[705]	584
[1019]	585	if cols <= 0:
	586	i = int(sqrt(rows))
	587	if i*i < rows: i += 1
	588	cols = i
[705]	589
[1019]	590	if i*(i-1) >= rows: i -= 1
	591	rows = i
[705]	592
[1019]	593	if 0 <= n < rows*cols:
	594	i = len(self.subplots)
	595	self.subplots.append({})
[705]	596
[1019]	597	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	598	cols, n+1)
	599	self.subplots[i]['lines'] = []
[705]	600
[1019]	601	if i == 0: self.subplot(0)
[705]	602
[1019]	603	self.rows = 0
	604	self.cols = 0
[705]	605
[1019]	606	else:
	607	self.subplots = []
[705]	608
[1019]	609	if nplots < 1 or rows*cols < nplots:
	610	nplots = rows*cols
[1025]	611	if ganged:
	612	hsp,wsp = None,None
	613	if rows > 1: hsp = 0.0001
	614	if cols > 1: wsp = 0.0001
	615	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	616	for i in range(nplots):
	617	self.subplots.append({})
[1153]	618	self.subplots[i]['lines'] = []
	619	if not ganged:
	620	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	621	cols, i+1)
[1513]	622	if asaprcParams['plotter.xaxisformatting'] == 'mpl':
	623	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	624	else:
	625	if i == 0:
	626	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	627	cols, i+1)
[1513]	628	if asaprcParams['plotter.xaxisformatting'] != 'mpl':
	629
	630	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	631	else:
	632	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	633	cols, i+1,
	634	sharex=self.subplots[0]['axes'],
	635	sharey=self.subplots[0]['axes'])
[1259]	636
[705]	637	# Suppress tick labelling for interior subplots.
	638	if i <= (rows-1)*cols - 1:
	639	if i+cols < nplots:
	640	# Suppress x-labels for frames width
	641	# adjacent frames
[1153]	642	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	643	tick.label1On = False
[1019]	644	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	645	if i%cols:
	646	# Suppress y-labels for frames not in the left column.
	647	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	648	tick.label1On = False
	649	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	650	# disable the first tick of [1:ncol-1] of the last row
[1153]	651	#if i+1 < nplots:
	652	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	653	self.rows = rows
	654	self.cols = cols
	655	self.subplot(0)
[705]	656
[1153]	657	def tidy(self):
	658	# this needs to be exceuted after the first "refresh"
	659	nplots = len(self.subplots)
	660	if nplots == 1: return
	661	for i in xrange(nplots):
	662	ax = self.subplots[i]['axes']
	663	if i%self.cols:
	664	ax.xaxis.majorTicks[0].label1On = False
	665	else:
	666	if i != 0:
	667	ax.yaxis.majorTicks[-1].label1On = False
	668
	669
[705]	670	def set_title(self, title=None):
[1019]	671	"""
	672	Set the title of the plot window. Use the previous title if title is
	673	omitted.
	674	"""
	675	if title is not None:
	676	self.title = title
[705]	677
[1019]	678	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	679
	680
[1153]	681	def show(self, hardrefresh=True):
[1019]	682	"""
	683	Show graphics dependent on the current buffering state.
	684	"""
[1153]	685	if not hardrefresh: return
[1019]	686	if not self.buffering:
	687	if self.loc is not None:
[1086]	688	for sp in self.subplots:
[1019]	689	lines = []
	690	labels = []
	691	i = 0
[1086]	692	for line in sp['lines']:
[1019]	693	i += 1
	694	if line is not None:
	695	lines.append(line[0])
	696	lbl = line[0].get_label()
	697	if lbl == '':
	698	lbl = str(i)
	699	labels.append(lbl)
[705]	700
[1019]	701	if len(lines):
[1147]	702	fp = FP(size=rcParams['legend.fontsize'])
	703	fsz = fp.get_size_in_points() - len(lines)
	704	fp.set_size(max(fsz,6))
[1086]	705	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	706	self.loc, prop=fp)
[1019]	707	else:
[1086]	708	sp['axes'].legend((' '))
[705]	709
[1086]	710	from matplotlib.artist import setp
[1147]	711	fp = FP(size=rcParams['xtick.labelsize'])
	712	xts = fp.get_size_in_points()- (self.cols)/2
	713	fp = FP(size=rcParams['ytick.labelsize'])
	714	yts = fp.get_size_in_points() - (self.rows)/2
[1086]	715	for sp in self.subplots:
	716	ax = sp['axes']
	717	s = ax.title.get_size()
	718	tsize = s-(self.cols+self.rows)
	719	ax.title.set_size(tsize)
[1147]	720	fp = FP(size=rcParams['axes.labelsize'])
[1086]	721	setp(ax.get_xticklabels(), fontsize=xts)
	722	setp(ax.get_yticklabels(), fontsize=yts)
[1147]	723	origx = fp.get_size_in_points()
	724	origy = origx
[1086]	725	off = 0
	726	if self.cols > 1: off = self.cols
	727	xfsize = origx-off
	728	ax.xaxis.label.set_size(xfsize)
	729	off = 0
	730	if self.rows > 1: off = self.rows
	731	yfsize = origy-off
	732	ax.yaxis.label.set_size(yfsize)
[705]	733
	734	def subplot(self, i=None, inc=None):
[1019]	735	"""
	736	Set the subplot to the 0-relative panel number as defined by one or
	737	more invokations of set_panels().
	738	"""
	739	l = len(self.subplots)
	740	if l:
	741	if i is not None:
	742	self.i = i
[705]	743
[1019]	744	if inc is not None:
	745	self.i += inc
[705]	746
[1019]	747	self.i %= l
	748	self.axes = self.subplots[self.i]['axes']
	749	self.lines = self.subplots[self.i]['lines']
[705]	750
	751	def text(self, args, *kwargs):
[1019]	752	"""
	753	Add text to the figure.
	754	"""
	755	self.figure.text(args, *kwargs)
	756	self.show()
[1147]	757
	758	def vline_with_label(self, x, y, label,
	759	location='bottom', rotate=0.0, **kwargs):
	760	"""
	761	Plot a vertical line with label.
	762	It takes "world" values fo x and y.
	763	"""
	764	ax = self.axes
	765	# need this to suppress autoscaling during this function
	766	self.axes.set_autoscale_on(False)
	767	ymin = 0.0
	768	ymax = 1.0
	769	valign = 'center'
	770	if location.lower() == 'top':
	771	y = max(0.0, y)
	772	elif location.lower() == 'bottom':
	773	y = min(0.0, y)
	774	lbloffset = 0.06
	775	# a rough estimate for the bb of the text
	776	if rotate > 0.0: lbloffset = 0.03*len(label)
	777	peakoffset = 0.01
[1535]	778	xy = None
	779	xy0 = None
	780	# matplotlib api change 0.98 is using transform now
	781	if hasattr(ax.transData, "inverse_xy_tup"):
	782	# get relative coords
	783	xy0 = ax.transData.xy_tup((x,y))
	784	xy = ax.transAxes.inverse_xy_tup(xy0)
	785	else:
	786	xy0 = ax.transData.transform((x,y))
	787	# get relative coords
	788	xy = ax.transAxes.inverted().transform(xy0)
[1147]	789	if location.lower() == 'top':
	790	ymax = 1.0-lbloffset
	791	ymin = xy[1]+peakoffset
	792	valign = 'bottom'
	793	ylbl = ymax+0.01
	794	elif location.lower() == 'bottom':
	795	ymin = lbloffset
	796	ymax = xy[1]-peakoffset
	797	valign = 'top'
	798	ylbl = ymin-0.01
[1425]	799	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	800	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	801	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	802	horizontalalignment='center',
	803	rotation=rotate,transform = trans)
	804	self.axes.set_autoscale_on(True)

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