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source: trunk/python/asaplotbase.py@ 1554

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Last change on this file since 1554 was 1553, checked in by Malte Marquarding, 16 years ago
Fix for Ticket #157; numpy api changed for mask/data access in MaskedArray
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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
[1553]	157
[1019]	158	if x is None:
	159	if y is None: return
[1023]	160	x = range(len(y))
[705]	161
[1019]	162	if len(x) != len(y):
	163	return
	164	l2 = 2*len(x)
[1023]	165	x2 = range(l2)
[1086]	166	y2 = range(12)
[1023]	167	y2 = range(l2)
	168	m2 = range(l2)
[1553]	169	ymsk = None
	170	ydat = None
	171	if hasattr(y, "raw_mask"):
	172	# numpy < 1.1
	173	ymsk = y.raw_mask()
	174	ydat = y.raw_data()
	175	else:
	176	ymsk = y.mask
	177	ydat = y.data
	178
[1023]	179	for i in range(l2):
[1019]	180	x2[i] = x[i/2]
[1086]	181	m2[i] = ymsk[i/2]
[705]	182
[1023]	183	y2[0] = 0.0
[1019]	184	for i in range(1,l2):
[1086]	185	y2[i] = ydat[(i-1)/2]
[705]	186
[1086]	187	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	188
	189
	190	def hold(self, hold=True):
[1019]	191	"""
	192	Buffer graphics until subsequently released.
	193	"""
	194	self.buffering = hold
[705]	195
	196
	197	def legend(self, loc=None):
[1019]	198	"""
	199	Add a legend to the plot.
[705]	200
[1019]	201	Any other value for loc else disables the legend:
	202	1: upper right
	203	2: upper left
	204	3: lower left
	205	4: lower right
	206	5: right
	207	6: center left
	208	7: center right
	209	8: lower center
	210	9: upper center
	211	10: center
[705]	212
[1019]	213	"""
[1095]	214	if isinstance(loc, int):
[1098]	215	self.loc = None
	216	if 0 <= loc <= 10: self.loc = loc
[1095]	217	else:
	218	self.loc = None
	219	#self.show()
[705]	220
	221
[1086]	222	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	223	"""
	224	Plot the next line in the current frame using the current line
	225	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	226
[1019]	227	The argument list works a bit like the matlab plot() function.
	228	"""
	229	if x is None:
	230	if y is None: return
	231	x = range(len(y))
[705]	232
[1019]	233	elif y is None:
	234	y = x
	235	x = range(len(y))
[1086]	236	if fmt is None:
	237	line = self.axes.plot(x, y)
[1019]	238	else:
[1086]	239	line = self.axes.plot(x, y, fmt)
[705]	240
[1019]	241	# Add to an existing line?
[1086]	242	i = None
[1019]	243	if add is None or len(self.lines) < add < 0:
	244	# Don't add.
	245	self.lines.append(line)
	246	i = len(self.lines) - 1
	247	else:
	248	if add == 0: add = len(self.lines)
	249	i = add - 1
	250	self.lines[i].extend(line)
[705]	251
[1019]	252	# Set/reset attributes for the line.
	253	gotcolour = False
	254	for k, v in self.attributes.iteritems():
	255	if k == 'color': gotcolour = True
	256	for segment in self.lines[i]:
	257	getattr(segment, "set_%s"%k)(v)
[705]	258
[1019]	259	if not gotcolour and len(self.colormap):
	260	for segment in self.lines[i]:
	261	getattr(segment, "set_color")(self.colormap[self.color])
[710]	262	if len(self.colormap) == 1:
	263	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	264
[1019]	265	self.color += 1
	266	if self.color >= len(self.colormap):
	267	self.color = 0
[705]	268
[710]	269	if len(self.colormap) == 1:
	270	self.linestyle += 1
[1019]	271	if self.linestyle >= len(self.linestyles):
	272	self.linestyle = 0
[710]	273
[1019]	274	self.show()
[705]	275
	276
	277	def position(self):
[1019]	278	"""
	279	Use the mouse to get a position from a graph.
	280	"""
[705]	281
[1019]	282	def position_disable(event):
	283	self.register('button_press', None)
	284	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	285
[1019]	286	print 'Press any mouse button...'
	287	self.register('button_press', position_disable)
[705]	288
	289
[1546]	290	def get_region(self):
	291	pos = []
	292	print "Please select the bottom/left point"
	293	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	294	print "Please select the top/right point"
	295	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	296	return pos
	297
	298	def get_point(self):
	299	print "Please select the point"
[1553]	300	pt = self.figure.ginput(n=1, show_clicks=False)
	301	if pt:
	302	return pt[0]
	303	else:
	304	return None
[1546]	305
[705]	306	def region(self):
[1019]	307	"""
	308	Use the mouse to get a rectangular region from a plot.
[705]	309
[1019]	310	The return value is [x0, y0, x1, y1] in world coordinates.
	311	"""
[705]	312
[1019]	313	def region_start(event):
	314	height = self.canvas.figure.bbox.height()
	315	self.rect = {'fig': None, 'height': height,
	316	'x': event.x, 'y': height - event.y,
	317	'world': [event.xdata, event.ydata,
	318	event.xdata, event.ydata]}
	319	self.register('button_press', None)
	320	self.register('motion_notify', region_draw)
	321	self.register('button_release', region_disable)
[705]	322
[1019]	323	def region_draw(event):
	324	self.canvas._tkcanvas.delete(self.rect['fig'])
	325	self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
	326	self.rect['x'], self.rect['y'],
	327	event.x, self.rect['height'] - event.y)
[705]	328
[1019]	329	def region_disable(event):
	330	self.register('motion_notify', None)
	331	self.register('button_release', None)
[705]	332
[1019]	333	self.canvas._tkcanvas.delete(self.rect['fig'])
[705]	334
[1019]	335	self.rect['world'][2:4] = [event.xdata, event.ydata]
	336	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	337	self.rect['world'][1], self.rect['world'][2],
	338	self.rect['world'][3])
[705]	339
[1019]	340	self.register('button_press', region_start)
[705]	341
[1019]	342	# This has to be modified to block and return the result (currently
	343	# printed by region_disable) when that becomes possible in matplotlib.
[705]	344
[1019]	345	return [0.0, 0.0, 0.0, 0.0]
[705]	346
	347
	348	def register(self, type=None, func=None):
[1019]	349	"""
	350	Register, reregister, or deregister events of type 'button_press',
	351	'button_release', or 'motion_notify'.
[705]	352
[1019]	353	The specified callback function should have the following signature:
[705]	354
[1019]	355	def func(event)
[705]	356
[1019]	357	where event is an MplEvent instance containing the following data:
[705]	358
[1019]	359	name # Event name.
	360	canvas # FigureCanvas instance generating the event.
	361	x = None # x position - pixels from left of canvas.
	362	y = None # y position - pixels from bottom of canvas.
	363	button = None # Button pressed: None, 1, 2, 3.
	364	key = None # Key pressed: None, chr(range(255)), shift,
	365	win, or control
	366	inaxes = None # Axes instance if cursor within axes.
	367	xdata = None # x world coordinate.
	368	ydata = None # y world coordinate.
[705]	369
[1019]	370	For example:
[705]	371
[1019]	372	def mouse_move(event):
	373	print event.xdata, event.ydata
[705]	374
[1019]	375	a = asaplot()
	376	a.register('motion_notify', mouse_move)
[705]	377
[1019]	378	If func is None, the event is deregistered.
[705]	379
[1019]	380	Note that in TkAgg keyboard button presses don't generate an event.
	381	"""
[705]	382
[1019]	383	if not self.events.has_key(type): return
[705]	384
[1019]	385	if func is None:
	386	if self.events[type] is not None:
	387	# It's not clear that this does anything.
	388	self.canvas.mpl_disconnect(self.events[type])
	389	self.events[type] = None
[705]	390
[1019]	391	# It seems to be necessary to return events to the toolbar.
	392	if type == 'motion_notify':
	393	self.canvas.mpl_connect(type + '_event',
	394	self.figmgr.toolbar.mouse_move)
	395	elif type == 'button_press':
	396	self.canvas.mpl_connect(type + '_event',
	397	self.figmgr.toolbar.press)
	398	elif type == 'button_release':
	399	self.canvas.mpl_connect(type + '_event',
	400	self.figmgr.toolbar.release)
[705]	401
[1019]	402	else:
	403	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	404
	405
	406	def release(self):
[1019]	407	"""
	408	Release buffered graphics.
	409	"""
	410	self.buffering = False
	411	self.show()
[705]	412
	413
[1095]	414	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	415	"""
	416	Save the plot to a file.
[705]	417
[1019]	418	fname is the name of the output file. The image format is determined
	419	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	420	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	421	directory.
	422	"""
[1095]	423	from asap import rcParams
	424	if papertype is None:
	425	papertype = rcParams['plotter.papertype']
[1019]	426	if fname is None:
	427	from datetime import datetime
	428	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	429	fname = 'asap'+dstr+'.png'
[705]	430
[1019]	431	d = ['png','.ps','eps']
[705]	432
[1019]	433	from os.path import expandvars
	434	fname = expandvars(fname)
[705]	435
[1019]	436	if fname[-3:].lower() in d:
	437	try:
[705]	438	if fname[-3:].lower() == ".ps":
[1020]	439	from matplotlib import __version__ as mv
[1479]	440	w = self.figure.get_figwidth()
	441	h = self.figure.get_figheight()
[1019]	442
[705]	443	if orientation is None:
[1147]	444	# oriented
[705]	445	if w > h:
	446	orientation = 'landscape'
	447	else:
	448	orientation = 'portrait'
[1095]	449	from matplotlib.backends.backend_ps import papersize
	450	pw,ph = papersize[papertype.lower()]
[1025]	451	ds = None
	452	if orientation == 'landscape':
[1095]	453	ds = min(ph/w, pw/h)
[1025]	454	else:
[1095]	455	ds = min(pw/w, ph/h)
[1025]	456	ow = ds * w
	457	oh = ds * h
[1479]	458	self.figure.set_size_inches((ow, oh))
[1095]	459	self.figure.savefig(fname, orientation=orientation,
	460	papertype=papertype.lower())
[1479]	461	self.figure.set_size_inches((w, h))
[705]	462	print 'Written file %s' % (fname)
[1019]	463	else:
[705]	464	if dpi is None:
	465	dpi =150
[1025]	466	self.figure.savefig(fname,dpi=dpi)
[705]	467	print 'Written file %s' % (fname)
[1019]	468	except IOError, msg:
	469	print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
	470	return
	471	else:
	472	print "Invalid image type. Valid types are:"
	473	print "'ps', 'eps', 'png'"
[705]	474
	475
	476	def set_axes(self, what=None, args, *kwargs):
[1019]	477	"""
	478	Set attributes for the axes by calling the relevant Axes.set_*()
	479	method. Colour translation is done as described in the doctext
	480	for palette().
	481	"""
[705]	482
[1019]	483	if what is None: return
	484	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	485
[1153]	486	key = "colour"
	487	if kwargs.has_key(key):
	488	val = kwargs.pop(key)
	489	kwargs["color"] = val
[705]	490
[1153]	491	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	492
[1153]	493	self.show(hardrefresh=False)
[705]	494
[1019]	495
[705]	496	def set_figure(self, what=None, args, *kwargs):
[1019]	497	"""
	498	Set attributes for the figure by calling the relevant Figure.set_*()
	499	method. Colour translation is done as described in the doctext
	500	for palette().
	501	"""
[705]	502
[1019]	503	if what is None: return
	504	if what[-6:] == 'colour': what = what[:-6] + 'color'
	505	#if what[-5:] == 'color' and len(args):
	506	# args = (get_colour(args[0]),)
[705]	507
[1019]	508	newargs = {}
	509	for k, v in kwargs.iteritems():
	510	k = k.lower()
	511	if k == 'colour': k = 'color'
	512	newargs[k] = v
[705]	513
[1019]	514	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	515	self.show(hardrefresh=False)
[705]	516
	517
	518	def set_limits(self, xlim=None, ylim=None):
[1019]	519	"""
	520	Set x-, and y-limits for each subplot.
[705]	521
[1019]	522	xlim = [xmin, xmax] as in axes.set_xlim().
	523	ylim = [ymin, ymax] as in axes.set_ylim().
	524	"""
	525	for s in self.subplots:
	526	self.axes = s['axes']
	527	self.lines = s['lines']
[705]	528	oldxlim = list(self.axes.get_xlim())
	529	oldylim = list(self.axes.get_ylim())
	530	if xlim is not None:
	531	for i in range(len(xlim)):
	532	if xlim[i] is not None:
	533	oldxlim[i] = xlim[i]
[1019]	534	if ylim is not None:
[705]	535	for i in range(len(ylim)):
	536	if ylim[i] is not None:
	537	oldylim[i] = ylim[i]
	538	self.axes.set_xlim(oldxlim)
	539	self.axes.set_ylim(oldylim)
	540	return
	541
	542
	543	def set_line(self, number=None, **kwargs):
[1019]	544	"""
	545	Set attributes for the specified line, or else the next line(s)
	546	to be plotted.
[705]	547
[1019]	548	number is the 0-relative number of a line that has already been
	549	plotted. If no such line exists, attributes are recorded and used
	550	for the next line(s) to be plotted.
[705]	551
[1019]	552	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	553
[1019]	554	import matplotlib
	555	help(matplotlib.lines)
[705]	556
[1019]	557	The set_* methods of class Line2D define the attribute names and
	558	values. For non-US usage, "colour" is recognized as synonymous with
	559	"color".
[705]	560
[1019]	561	Set the value to None to delete an attribute.
[705]	562
[1019]	563	Colour translation is done as described in the doctext for palette().
	564	"""
[705]	565
[1019]	566	redraw = False
	567	for k, v in kwargs.iteritems():
	568	k = k.lower()
	569	if k == 'colour': k = 'color'
[705]	570
[1019]	571	if 0 <= number < len(self.lines):
	572	if self.lines[number] is not None:
	573	for line in self.lines[number]:
	574	getattr(line, "set_%s"%k)(v)
	575	redraw = True
	576	else:
	577	if v is None:
	578	del self.attributes[k]
	579	else:
	580	self.attributes[k] = v
[705]	581
[1153]	582	if redraw: self.show(hardrefresh=False)
[705]	583
	584
	585	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[1019]	586	"""
	587	Set the panel layout.
[705]	588
[1019]	589	rows and cols, if cols != 0, specify the number of rows and columns in
	590	a regular layout. (Indexing of these panels in matplotlib is row-
	591	major, i.e. column varies fastest.)
[705]	592
[1019]	593	cols == 0 is interpreted as a retangular layout that accomodates
	594	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	595	rows == 2, cols == 3.
[705]	596
[1019]	597	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	598	the configuration specified by rows and cols to be added to the
	599	current figure as its next 0-relative panel number (i). This allows
	600	non-regular panel layouts to be constructed via multiple calls. Any
	601	other value of n clears the plot and produces a rectangular array of
	602	empty panels. The number of these may be limited by nplots.
	603	"""
	604	if n < 0 and len(self.subplots):
	605	self.figure.clear()
	606	self.set_title()
[705]	607
[1019]	608	if rows < 1: rows = 1
[705]	609
[1019]	610	if cols <= 0:
	611	i = int(sqrt(rows))
	612	if i*i < rows: i += 1
	613	cols = i
[705]	614
[1019]	615	if i*(i-1) >= rows: i -= 1
	616	rows = i
[705]	617
[1019]	618	if 0 <= n < rows*cols:
	619	i = len(self.subplots)
	620	self.subplots.append({})
[705]	621
[1019]	622	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	623	cols, n+1)
	624	self.subplots[i]['lines'] = []
[705]	625
[1019]	626	if i == 0: self.subplot(0)
[705]	627
[1019]	628	self.rows = 0
	629	self.cols = 0
[705]	630
[1019]	631	else:
	632	self.subplots = []
[705]	633
[1019]	634	if nplots < 1 or rows*cols < nplots:
	635	nplots = rows*cols
[1025]	636	if ganged:
	637	hsp,wsp = None,None
	638	if rows > 1: hsp = 0.0001
	639	if cols > 1: wsp = 0.0001
	640	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	641	for i in range(nplots):
	642	self.subplots.append({})
[1153]	643	self.subplots[i]['lines'] = []
	644	if not ganged:
	645	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	646	cols, i+1)
[1513]	647	if asaprcParams['plotter.xaxisformatting'] == 'mpl':
	648	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	649	else:
	650	if i == 0:
	651	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	652	cols, i+1)
[1513]	653	if asaprcParams['plotter.xaxisformatting'] != 'mpl':
	654
	655	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	656	else:
	657	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	658	cols, i+1,
	659	sharex=self.subplots[0]['axes'],
	660	sharey=self.subplots[0]['axes'])
[1259]	661
[705]	662	# Suppress tick labelling for interior subplots.
	663	if i <= (rows-1)*cols - 1:
	664	if i+cols < nplots:
	665	# Suppress x-labels for frames width
	666	# adjacent frames
[1153]	667	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	668	tick.label1On = False
[1019]	669	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	670	if i%cols:
	671	# Suppress y-labels for frames not in the left column.
	672	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	673	tick.label1On = False
	674	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	675	# disable the first tick of [1:ncol-1] of the last row
[1153]	676	#if i+1 < nplots:
	677	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	678	self.rows = rows
	679	self.cols = cols
	680	self.subplot(0)
[705]	681
[1153]	682	def tidy(self):
	683	# this needs to be exceuted after the first "refresh"
	684	nplots = len(self.subplots)
	685	if nplots == 1: return
	686	for i in xrange(nplots):
	687	ax = self.subplots[i]['axes']
	688	if i%self.cols:
	689	ax.xaxis.majorTicks[0].label1On = False
	690	else:
	691	if i != 0:
	692	ax.yaxis.majorTicks[-1].label1On = False
	693
	694
[705]	695	def set_title(self, title=None):
[1019]	696	"""
	697	Set the title of the plot window. Use the previous title if title is
	698	omitted.
	699	"""
	700	if title is not None:
	701	self.title = title
[705]	702
[1019]	703	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	704
	705
[1153]	706	def show(self, hardrefresh=True):
[1019]	707	"""
	708	Show graphics dependent on the current buffering state.
	709	"""
[1153]	710	if not hardrefresh: return
[1019]	711	if not self.buffering:
	712	if self.loc is not None:
[1086]	713	for sp in self.subplots:
[1019]	714	lines = []
	715	labels = []
	716	i = 0
[1086]	717	for line in sp['lines']:
[1019]	718	i += 1
	719	if line is not None:
	720	lines.append(line[0])
	721	lbl = line[0].get_label()
	722	if lbl == '':
	723	lbl = str(i)
	724	labels.append(lbl)
[705]	725
[1019]	726	if len(lines):
[1147]	727	fp = FP(size=rcParams['legend.fontsize'])
	728	fsz = fp.get_size_in_points() - len(lines)
	729	fp.set_size(max(fsz,6))
[1086]	730	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	731	self.loc, prop=fp)
[1019]	732	else:
[1086]	733	sp['axes'].legend((' '))
[705]	734
[1086]	735	from matplotlib.artist import setp
[1147]	736	fp = FP(size=rcParams['xtick.labelsize'])
	737	xts = fp.get_size_in_points()- (self.cols)/2
	738	fp = FP(size=rcParams['ytick.labelsize'])
	739	yts = fp.get_size_in_points() - (self.rows)/2
[1086]	740	for sp in self.subplots:
	741	ax = sp['axes']
	742	s = ax.title.get_size()
	743	tsize = s-(self.cols+self.rows)
	744	ax.title.set_size(tsize)
[1147]	745	fp = FP(size=rcParams['axes.labelsize'])
[1086]	746	setp(ax.get_xticklabels(), fontsize=xts)
	747	setp(ax.get_yticklabels(), fontsize=yts)
[1147]	748	origx = fp.get_size_in_points()
	749	origy = origx
[1086]	750	off = 0
	751	if self.cols > 1: off = self.cols
	752	xfsize = origx-off
	753	ax.xaxis.label.set_size(xfsize)
	754	off = 0
	755	if self.rows > 1: off = self.rows
	756	yfsize = origy-off
	757	ax.yaxis.label.set_size(yfsize)
[705]	758
	759	def subplot(self, i=None, inc=None):
[1019]	760	"""
	761	Set the subplot to the 0-relative panel number as defined by one or
	762	more invokations of set_panels().
	763	"""
	764	l = len(self.subplots)
	765	if l:
	766	if i is not None:
	767	self.i = i
[705]	768
[1019]	769	if inc is not None:
	770	self.i += inc
[705]	771
[1019]	772	self.i %= l
	773	self.axes = self.subplots[self.i]['axes']
	774	self.lines = self.subplots[self.i]['lines']
[705]	775
	776	def text(self, args, *kwargs):
[1019]	777	"""
	778	Add text to the figure.
	779	"""
	780	self.figure.text(args, *kwargs)
	781	self.show()
[1147]	782
	783	def vline_with_label(self, x, y, label,
	784	location='bottom', rotate=0.0, **kwargs):
	785	"""
	786	Plot a vertical line with label.
	787	It takes "world" values fo x and y.
	788	"""
	789	ax = self.axes
	790	# need this to suppress autoscaling during this function
	791	self.axes.set_autoscale_on(False)
	792	ymin = 0.0
	793	ymax = 1.0
	794	valign = 'center'
	795	if location.lower() == 'top':
	796	y = max(0.0, y)
	797	elif location.lower() == 'bottom':
	798	y = min(0.0, y)
	799	lbloffset = 0.06
	800	# a rough estimate for the bb of the text
	801	if rotate > 0.0: lbloffset = 0.03*len(label)
	802	peakoffset = 0.01
[1535]	803	xy = None
	804	xy0 = None
	805	# matplotlib api change 0.98 is using transform now
	806	if hasattr(ax.transData, "inverse_xy_tup"):
	807	# get relative coords
	808	xy0 = ax.transData.xy_tup((x,y))
	809	xy = ax.transAxes.inverse_xy_tup(xy0)
	810	else:
	811	xy0 = ax.transData.transform((x,y))
	812	# get relative coords
	813	xy = ax.transAxes.inverted().transform(xy0)
[1147]	814	if location.lower() == 'top':
	815	ymax = 1.0-lbloffset
	816	ymin = xy[1]+peakoffset
	817	valign = 'bottom'
	818	ylbl = ymax+0.01
	819	elif location.lower() == 'bottom':
	820	ymin = lbloffset
	821	ymax = xy[1]-peakoffset
	822	valign = 'top'
	823	ylbl = ymin-0.01
[1425]	824	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	825	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	826	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	827	horizontalalignment='center',
	828	rotation=rotate,transform = trans)
	829	self.axes.set_autoscale_on(True)

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