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asaplotbase.py@ 2574

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Last change on this file since 2574 was 1798, checked in by Malte Marquarding, 14 years ago
merge -r1774:1797 from alma to newfiller
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File size: 28.2 KB

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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
[1757]	12	from numpy import sqrt
[705]	13	from matplotlib import rc, rcParams
[710]	14	from asap import rcParams as asaprcParams
[1259]	15	from matplotlib.ticker import OldScalarFormatter
[1147]	16
[1603]	17	# API change in mpl >= 0.98
	18	try:
	19	from matplotlib.transforms import blended_transform_factory
	20	except ImportError:
[1757]	21	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1603]	22
[1614]	23	from asap import asaplog
[1612]	24
[1095]	25	if int(matplotlib.__version__.split(".")[1]) < 87:
[1612]	26	#print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1614]	27	asaplog.push( "matplotlib version < 0.87. This might cause errors. Please upgrade." )
	28	print_log( 'WARN' )
[1019]	29
[705]	30	class asaplotbase:
	31	"""
	32	ASAP plotting base class based on matplotlib.
	33	"""
	34
[1757]	35	def __init__(self, rows=1, cols=0, title='', size=None, buffering=False):
[1019]	36	"""
	37	Create a new instance of the ASAPlot plotting class.
[705]	38
[1019]	39	If rows < 1 then a separate call to set_panels() is required to define
	40	the panel layout; refer to the doctext for set_panels().
	41	"""
[705]	42	self.is_dead = False
[1019]	43	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	44	self.canvas = None
	45
[1019]	46	self.set_title(title)
	47	self.subplots = []
	48	if rows > 0:
	49	self.set_panels(rows, cols)
[705]	50
[710]	51	# Set matplotlib default colour sequence.
	52	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	53
[710]	54	c = asaprcParams['plotter.colours']
	55	if isinstance(c,str) and len(c) > 0:
	56	self.colormap = c.split()
	57
	58	self.lsalias = {"line": [1,0],
	59	"dashdot": [4,2,1,2],
	60	"dashed" : [4,2,4,2],
	61	"dotted" : [1,2],
	62	"dashdotdot": [4,2,1,2,1,2],
	63	"dashdashdot": [4,2,4,2,1,2]
	64	}
	65
	66	styles = "line dashed dotted dashdot".split()
	67	c = asaprcParams['plotter.linestyles']
	68	if isinstance(c,str) and len(c) > 0:
	69	styles = c.split()
	70	s = []
	71	for ls in styles:
	72	if self.lsalias.has_key(ls):
	73	s.append(self.lsalias.get(ls))
	74	else:
	75	s.append('-')
	76	self.linestyles = s
	77
[705]	78	self.color = 0;
[710]	79	self.linestyle = 0;
[1019]	80	self.attributes = {}
	81	self.loc = 0
[705]	82
[1019]	83	self.buffering = buffering
[705]	84
	85	def clear(self):
[1019]	86	"""
[1147]	87	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	88	"""
[705]	89
[1019]	90	for i in range(len(self.lines)):
	91	self.delete(i)
	92	self.axes.clear()
	93	self.color = 0
	94	self.lines = []
[705]	95
[710]	96	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	97	if colormap:
[710]	98	if isinstance(colormap,list):
	99	self.colormap = colormap
	100	elif isinstance(colormap,str):
	101	self.colormap = colormap.split()
[705]	102	if 0 <= color < len(self.colormap):
	103	self.color = color
[710]	104	if linestyles:
	105	self.linestyles = []
	106	if isinstance(linestyles,list):
	107	styles = linestyles
	108	elif isinstance(linestyles,str):
	109	styles = linestyles.split()
	110	for ls in styles:
	111	if self.lsalias.has_key(ls):
	112	self.linestyles.append(self.lsalias.get(ls))
	113	else:
	114	self.linestyles.append(self.lsalias.get('line'))
	115	if 0 <= linestyle < len(self.linestyles):
	116	self.linestyle = linestyle
[705]	117
	118	def delete(self, numbers=None):
[1019]	119	"""
	120	Delete the 0-relative line number, default is to delete the last.
	121	The remaining lines are NOT renumbered.
	122	"""
[705]	123
[1019]	124	if numbers is None: numbers = [len(self.lines)-1]
[705]	125
[1019]	126	if not hasattr(numbers, '__iter__'):
	127	numbers = [numbers]
[705]	128
[1019]	129	for number in numbers:
	130	if 0 <= number < len(self.lines):
	131	if self.lines[number] is not None:
	132	for line in self.lines[number]:
	133	line.set_linestyle('None')
	134	self.lines[number] = None
	135	self.show()
[705]	136
	137	def get_line(self):
[1019]	138	"""
	139	Get the current default line attributes.
	140	"""
	141	return self.attributes
[705]	142
	143
[1086]	144	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	145	"""
	146	Plot a histogram. N.B. the x values refer to the start of the
	147	histogram bin.
[705]	148
[1019]	149	fmt is the line style as in plot().
	150	"""
[1757]	151	from numpy import array
	152	from numpy.ma import MaskedArray
[1019]	153	if x is None:
	154	if y is None: return
[1023]	155	x = range(len(y))
[705]	156
[1019]	157	if len(x) != len(y):
	158	return
	159	l2 = 2*len(x)
[1023]	160	x2 = range(l2)
[1086]	161	y2 = range(12)
[1023]	162	y2 = range(l2)
	163	m2 = range(l2)
[1603]	164	ymsk = None
	165	ydat = None
	166	if hasattr(y, "raw_mask"):
	167	# numpy < 1.1
	168	ymsk = y.raw_mask()
	169	ydat = y.raw_data()
	170	else:
	171	ymsk = y.mask
	172	ydat = y.data
[1023]	173	for i in range(l2):
[1019]	174	x2[i] = x[i/2]
[1086]	175	m2[i] = ymsk[i/2]
[705]	176
[1023]	177	y2[0] = 0.0
[1019]	178	for i in range(1,l2):
[1086]	179	y2[i] = ydat[(i-1)/2]
[705]	180
[1086]	181	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	182
	183
	184	def hold(self, hold=True):
[1019]	185	"""
	186	Buffer graphics until subsequently released.
	187	"""
	188	self.buffering = hold
[705]	189
	190
	191	def legend(self, loc=None):
[1019]	192	"""
	193	Add a legend to the plot.
[705]	194
[1019]	195	Any other value for loc else disables the legend:
	196	1: upper right
	197	2: upper left
	198	3: lower left
	199	4: lower right
	200	5: right
	201	6: center left
	202	7: center right
	203	8: lower center
	204	9: upper center
	205	10: center
[705]	206
[1019]	207	"""
[1095]	208	if isinstance(loc, int):
[1098]	209	self.loc = None
	210	if 0 <= loc <= 10: self.loc = loc
[1095]	211	else:
	212	self.loc = None
	213	#self.show()
[705]	214
	215
[1086]	216	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	217	"""
	218	Plot the next line in the current frame using the current line
	219	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	220
[1019]	221	The argument list works a bit like the matlab plot() function.
	222	"""
	223	if x is None:
	224	if y is None: return
	225	x = range(len(y))
[705]	226
[1019]	227	elif y is None:
	228	y = x
	229	x = range(len(y))
[1086]	230	if fmt is None:
	231	line = self.axes.plot(x, y)
[1019]	232	else:
[1086]	233	line = self.axes.plot(x, y, fmt)
[705]	234
[1019]	235	# Add to an existing line?
[1086]	236	i = None
[1019]	237	if add is None or len(self.lines) < add < 0:
	238	# Don't add.
	239	self.lines.append(line)
	240	i = len(self.lines) - 1
	241	else:
	242	if add == 0: add = len(self.lines)
	243	i = add - 1
	244	self.lines[i].extend(line)
[705]	245
[1019]	246	# Set/reset attributes for the line.
	247	gotcolour = False
	248	for k, v in self.attributes.iteritems():
	249	if k == 'color': gotcolour = True
	250	for segment in self.lines[i]:
	251	getattr(segment, "set_%s"%k)(v)
[705]	252
[1019]	253	if not gotcolour and len(self.colormap):
	254	for segment in self.lines[i]:
	255	getattr(segment, "set_color")(self.colormap[self.color])
[710]	256	if len(self.colormap) == 1:
	257	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	258
[1019]	259	self.color += 1
	260	if self.color >= len(self.colormap):
	261	self.color = 0
[705]	262
[710]	263	if len(self.colormap) == 1:
	264	self.linestyle += 1
[1019]	265	if self.linestyle >= len(self.linestyles):
	266	self.linestyle = 0
[710]	267
[1019]	268	self.show()
[705]	269
	270
	271	def position(self):
[1019]	272	"""
	273	Use the mouse to get a position from a graph.
	274	"""
[705]	275
[1019]	276	def position_disable(event):
	277	self.register('button_press', None)
	278	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	279
[1019]	280	print 'Press any mouse button...'
	281	self.register('button_press', position_disable)
[705]	282
	283
[1798]	284	def get_region(self):
	285	pos = []
	286	print "Please select the bottom/left point"
	287	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	288	print "Please select the top/right point"
	289	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	290	return pos
[1757]	291
[1798]	292	def get_point(self):
	293	print "Please select the point"
	294	pt = self.figure.ginput(n=1, show_clicks=False)
	295	if pt:
	296	return pt[0]
	297	else:
	298	return None
[1757]	299
[705]	300	def region(self):
[1019]	301	"""
	302	Use the mouse to get a rectangular region from a plot.
[705]	303
[1019]	304	The return value is [x0, y0, x1, y1] in world coordinates.
	305	"""
[705]	306
[1019]	307	def region_start(event):
[1620]	308	self.rect = {'x': event.x, 'y': event.y,
[1019]	309	'world': [event.xdata, event.ydata,
	310	event.xdata, event.ydata]}
	311	self.register('button_press', None)
	312	self.register('motion_notify', region_draw)
	313	self.register('button_release', region_disable)
[705]	314
[1019]	315	def region_draw(event):
[1620]	316	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	317	self.rect['x'], self.rect['y'])
	318
[1019]	319	def region_disable(event):
	320	self.register('motion_notify', None)
	321	self.register('button_release', None)
[705]	322
[1019]	323	self.rect['world'][2:4] = [event.xdata, event.ydata]
	324	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	325	self.rect['world'][1], self.rect['world'][2],
	326	self.rect['world'][3])
[1620]	327	self.figmgr.toolbar.release(event)
[705]	328
[1019]	329	self.register('button_press', region_start)
[705]	330
[1019]	331	# This has to be modified to block and return the result (currently
	332	# printed by region_disable) when that becomes possible in matplotlib.
[705]	333
[1019]	334	return [0.0, 0.0, 0.0, 0.0]
[705]	335
	336
	337	def register(self, type=None, func=None):
[1019]	338	"""
	339	Register, reregister, or deregister events of type 'button_press',
	340	'button_release', or 'motion_notify'.
[705]	341
[1019]	342	The specified callback function should have the following signature:
[705]	343
[1019]	344	def func(event)
[705]	345
[1019]	346	where event is an MplEvent instance containing the following data:
[705]	347
[1019]	348	name # Event name.
	349	canvas # FigureCanvas instance generating the event.
	350	x = None # x position - pixels from left of canvas.
	351	y = None # y position - pixels from bottom of canvas.
	352	button = None # Button pressed: None, 1, 2, 3.
	353	key = None # Key pressed: None, chr(range(255)), shift,
	354	win, or control
	355	inaxes = None # Axes instance if cursor within axes.
	356	xdata = None # x world coordinate.
	357	ydata = None # y world coordinate.
[705]	358
[1019]	359	For example:
[705]	360
[1019]	361	def mouse_move(event):
	362	print event.xdata, event.ydata
[705]	363
[1019]	364	a = asaplot()
	365	a.register('motion_notify', mouse_move)
[705]	366
[1019]	367	If func is None, the event is deregistered.
[705]	368
[1019]	369	Note that in TkAgg keyboard button presses don't generate an event.
	370	"""
[705]	371
[1019]	372	if not self.events.has_key(type): return
[705]	373
[1019]	374	if func is None:
	375	if self.events[type] is not None:
	376	# It's not clear that this does anything.
	377	self.canvas.mpl_disconnect(self.events[type])
	378	self.events[type] = None
[705]	379
[1766]	380	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	381	#if type == 'motion_notify':
	382	# self.canvas.mpl_connect(type + '_event',
	383	# self.figmgr.toolbar.mouse_move)
	384	#elif type == 'button_press':
	385	# self.canvas.mpl_connect(type + '_event',
	386	# self.figmgr.toolbar.press)
	387	#elif type == 'button_release':
	388	# self.canvas.mpl_connect(type + '_event',
	389	# self.figmgr.toolbar.release)
[705]	390
[1019]	391	else:
	392	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	393
	394
	395	def release(self):
[1019]	396	"""
	397	Release buffered graphics.
	398	"""
	399	self.buffering = False
	400	self.show()
[705]	401
	402
[1095]	403	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	404	"""
	405	Save the plot to a file.
[705]	406
[1019]	407	fname is the name of the output file. The image format is determined
	408	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	409	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	410	directory.
	411	"""
[1095]	412	from asap import rcParams
	413	if papertype is None:
	414	papertype = rcParams['plotter.papertype']
[1019]	415	if fname is None:
	416	from datetime import datetime
	417	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	418	fname = 'asap'+dstr+'.png'
[705]	419
[1019]	420	d = ['png','.ps','eps']
[705]	421
[1019]	422	from os.path import expandvars
	423	fname = expandvars(fname)
[705]	424
[1019]	425	if fname[-3:].lower() in d:
	426	try:
[705]	427	if fname[-3:].lower() == ".ps":
[1020]	428	from matplotlib import __version__ as mv
[1603]	429	w = self.figure.get_figwidth()
	430	h = self.figure.get_figheight()
[1019]	431
[705]	432	if orientation is None:
[1147]	433	# oriented
[705]	434	if w > h:
	435	orientation = 'landscape'
	436	else:
	437	orientation = 'portrait'
[1095]	438	from matplotlib.backends.backend_ps import papersize
	439	pw,ph = papersize[papertype.lower()]
[1025]	440	ds = None
	441	if orientation == 'landscape':
[1095]	442	ds = min(ph/w, pw/h)
[1025]	443	else:
[1095]	444	ds = min(pw/w, ph/h)
[1025]	445	ow = ds * w
	446	oh = ds * h
[1603]	447	self.figure.set_size_inches((ow, oh))
[1095]	448	self.figure.savefig(fname, orientation=orientation,
	449	papertype=papertype.lower())
[1603]	450	self.figure.set_size_inches((w, h))
[705]	451	print 'Written file %s' % (fname)
[1019]	452	else:
[705]	453	if dpi is None:
	454	dpi =150
[1025]	455	self.figure.savefig(fname,dpi=dpi)
[705]	456	print 'Written file %s' % (fname)
[1019]	457	except IOError, msg:
[1612]	458	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1614]	459	print_log()
[1676]	460	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1614]	461	print_log( 'ERROR' )
[1019]	462	return
	463	else:
[1612]	464	#print "Invalid image type. Valid types are:"
	465	#print "'ps', 'eps', 'png'"
[1614]	466	asaplog.push( "Invalid image type. Valid types are:" )
	467	asaplog.push( "'ps', 'eps', 'png'" )
	468	print_log('WARN')
[705]	469
	470
	471	def set_axes(self, what=None, args, *kwargs):
[1019]	472	"""
	473	Set attributes for the axes by calling the relevant Axes.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'
[705]	480
[1153]	481	key = "colour"
	482	if kwargs.has_key(key):
	483	val = kwargs.pop(key)
	484	kwargs["color"] = val
[705]	485
[1153]	486	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	487
[1153]	488	self.show(hardrefresh=False)
[705]	489
[1019]	490
[705]	491	def set_figure(self, what=None, args, *kwargs):
[1019]	492	"""
	493	Set attributes for the figure by calling the relevant Figure.set_*()
	494	method. Colour translation is done as described in the doctext
	495	for palette().
	496	"""
[705]	497
[1019]	498	if what is None: return
	499	if what[-6:] == 'colour': what = what[:-6] + 'color'
	500	#if what[-5:] == 'color' and len(args):
	501	# args = (get_colour(args[0]),)
[705]	502
[1019]	503	newargs = {}
	504	for k, v in kwargs.iteritems():
	505	k = k.lower()
	506	if k == 'colour': k = 'color'
	507	newargs[k] = v
[705]	508
[1019]	509	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	510	self.show(hardrefresh=False)
[705]	511
	512
	513	def set_limits(self, xlim=None, ylim=None):
[1019]	514	"""
	515	Set x-, and y-limits for each subplot.
[705]	516
[1019]	517	xlim = [xmin, xmax] as in axes.set_xlim().
	518	ylim = [ymin, ymax] as in axes.set_ylim().
	519	"""
	520	for s in self.subplots:
	521	self.axes = s['axes']
	522	self.lines = s['lines']
[705]	523	oldxlim = list(self.axes.get_xlim())
	524	oldylim = list(self.axes.get_ylim())
	525	if xlim is not None:
	526	for i in range(len(xlim)):
	527	if xlim[i] is not None:
	528	oldxlim[i] = xlim[i]
[1019]	529	if ylim is not None:
[705]	530	for i in range(len(ylim)):
	531	if ylim[i] is not None:
	532	oldylim[i] = ylim[i]
	533	self.axes.set_xlim(oldxlim)
	534	self.axes.set_ylim(oldylim)
	535	return
	536
	537
	538	def set_line(self, number=None, **kwargs):
[1019]	539	"""
	540	Set attributes for the specified line, or else the next line(s)
	541	to be plotted.
[705]	542
[1019]	543	number is the 0-relative number of a line that has already been
	544	plotted. If no such line exists, attributes are recorded and used
	545	for the next line(s) to be plotted.
[705]	546
[1019]	547	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	548
[1019]	549	import matplotlib
	550	help(matplotlib.lines)
[705]	551
[1019]	552	The set_* methods of class Line2D define the attribute names and
	553	values. For non-US usage, "colour" is recognized as synonymous with
	554	"color".
[705]	555
[1019]	556	Set the value to None to delete an attribute.
[705]	557
[1019]	558	Colour translation is done as described in the doctext for palette().
	559	"""
[705]	560
[1019]	561	redraw = False
	562	for k, v in kwargs.iteritems():
	563	k = k.lower()
	564	if k == 'colour': k = 'color'
[705]	565
[1019]	566	if 0 <= number < len(self.lines):
	567	if self.lines[number] is not None:
	568	for line in self.lines[number]:
	569	getattr(line, "set_%s"%k)(v)
	570	redraw = True
	571	else:
	572	if v is None:
	573	del self.attributes[k]
	574	else:
	575	self.attributes[k] = v
[705]	576
[1153]	577	if redraw: self.show(hardrefresh=False)
[705]	578
	579
[1723]	580	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
	581	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, layout=None,ganged=True):
[1019]	582	"""
	583	Set the panel layout.
[705]	584
[1019]	585	rows and cols, if cols != 0, specify the number of rows and columns in
	586	a regular layout. (Indexing of these panels in matplotlib is row-
	587	major, i.e. column varies fastest.)
[705]	588
[1019]	589	cols == 0 is interpreted as a retangular layout that accomodates
	590	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	591	rows == 2, cols == 3.
[705]	592
[1019]	593	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	594	the configuration specified by rows and cols to be added to the
	595	current figure as its next 0-relative panel number (i). This allows
	596	non-regular panel layouts to be constructed via multiple calls. Any
	597	other value of n clears the plot and produces a rectangular array of
	598	empty panels. The number of these may be limited by nplots.
	599	"""
	600	if n < 0 and len(self.subplots):
	601	self.figure.clear()
	602	self.set_title()
[705]	603
[1723]	604	if layout:
	605	lef, bot, rig, top, wsp, hsp = layout
	606	self.figure.subplots_adjust(
	607	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	608	del lef,bot,rig,top,wsp,hsp
	609
[1019]	610	if rows < 1: rows = 1
[705]	611
[1019]	612	if cols <= 0:
	613	i = int(sqrt(rows))
	614	if i*i < rows: i += 1
	615	cols = i
[705]	616
[1019]	617	if i*(i-1) >= rows: i -= 1
	618	rows = i
[705]	619
[1019]	620	if 0 <= n < rows*cols:
	621	i = len(self.subplots)
[1723]	622
[1019]	623	self.subplots.append({})
[705]	624
[1019]	625	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	626	cols, n+1)
	627	self.subplots[i]['lines'] = []
[705]	628
[1019]	629	if i == 0: self.subplot(0)
[705]	630
[1019]	631	self.rows = 0
	632	self.cols = 0
[705]	633
[1019]	634	else:
	635	self.subplots = []
[705]	636
[1019]	637	if nplots < 1 or rows*cols < nplots:
	638	nplots = rows*cols
[1025]	639	if ganged:
	640	hsp,wsp = None,None
	641	if rows > 1: hsp = 0.0001
	642	if cols > 1: wsp = 0.0001
	643	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	644	for i in range(nplots):
	645	self.subplots.append({})
[1153]	646	self.subplots[i]['lines'] = []
	647	if not ganged:
	648	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	649	cols, i+1)
[1757]	650	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1603]	651	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	652	else:
	653	if i == 0:
	654	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	655	cols, i+1)
[1757]	656	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1603]	657
	658	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	659	else:
	660	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	661	cols, i+1,
	662	sharex=self.subplots[0]['axes'],
	663	sharey=self.subplots[0]['axes'])
[1259]	664
[705]	665	# Suppress tick labelling for interior subplots.
	666	if i <= (rows-1)*cols - 1:
	667	if i+cols < nplots:
	668	# Suppress x-labels for frames width
	669	# adjacent frames
[1153]	670	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	671	tick.label1On = False
[1019]	672	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	673	if i%cols:
	674	# Suppress y-labels for frames not in the left column.
	675	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	676	tick.label1On = False
	677	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	678	# disable the first tick of [1:ncol-1] of the last row
[1153]	679	#if i+1 < nplots:
	680	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	681	self.rows = rows
	682	self.cols = cols
	683	self.subplot(0)
[1723]	684	del rows,cols,n,nplots,layout,ganged,i
[705]	685
[1153]	686	def tidy(self):
	687	# this needs to be exceuted after the first "refresh"
	688	nplots = len(self.subplots)
	689	if nplots == 1: return
	690	for i in xrange(nplots):
	691	ax = self.subplots[i]['axes']
	692	if i%self.cols:
	693	ax.xaxis.majorTicks[0].label1On = False
	694	else:
	695	if i != 0:
	696	ax.yaxis.majorTicks[-1].label1On = False
	697
	698
[705]	699	def set_title(self, title=None):
[1019]	700	"""
	701	Set the title of the plot window. Use the previous title if title is
	702	omitted.
	703	"""
	704	if title is not None:
	705	self.title = title
[705]	706
[1019]	707	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	708
	709
[1153]	710	def show(self, hardrefresh=True):
[1019]	711	"""
	712	Show graphics dependent on the current buffering state.
	713	"""
[1153]	714	if not hardrefresh: return
[1019]	715	if not self.buffering:
	716	if self.loc is not None:
[1086]	717	for sp in self.subplots:
[1019]	718	lines = []
	719	labels = []
	720	i = 0
[1086]	721	for line in sp['lines']:
[1019]	722	i += 1
	723	if line is not None:
	724	lines.append(line[0])
	725	lbl = line[0].get_label()
	726	if lbl == '':
	727	lbl = str(i)
	728	labels.append(lbl)
[705]	729
[1019]	730	if len(lines):
[1147]	731	fp = FP(size=rcParams['legend.fontsize'])
	732	fsz = fp.get_size_in_points() - len(lines)
	733	fp.set_size(max(fsz,6))
[1086]	734	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	735	self.loc, prop=fp)
[1019]	736	else:
[1086]	737	sp['axes'].legend((' '))
[705]	738
[1086]	739	from matplotlib.artist import setp
[1757]	740	fpx = FP(size=rcParams['xtick.labelsize'])
	741	xts = fpx.get_size_in_points()- (self.cols)/2
	742	fpy = FP(size=rcParams['ytick.labelsize'])
	743	yts = fpy.get_size_in_points() - (self.rows)/2
	744	fpa = FP(size=rcParams['axes.labelsize'])
	745	fpat = FP(size=rcParams['axes.titlesize'])
	746	axsize = fpa.get_size_in_points()
	747	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	748	for sp in self.subplots:
	749	ax = sp['axes']
[1603]	750	ax.title.set_size(tsize)
[1086]	751	setp(ax.get_xticklabels(), fontsize=xts)
	752	setp(ax.get_yticklabels(), fontsize=yts)
	753	off = 0
	754	if self.cols > 1: off = self.cols
[1757]	755	ax.xaxis.label.set_size(axsize-off)
[1086]	756	off = 0
	757	if self.rows > 1: off = self.rows
[1757]	758	ax.yaxis.label.set_size(axsize-off)
[705]	759
	760	def subplot(self, i=None, inc=None):
[1019]	761	"""
	762	Set the subplot to the 0-relative panel number as defined by one or
	763	more invokations of set_panels().
	764	"""
	765	l = len(self.subplots)
	766	if l:
	767	if i is not None:
	768	self.i = i
[705]	769
[1019]	770	if inc is not None:
	771	self.i += inc
[705]	772
[1019]	773	self.i %= l
	774	self.axes = self.subplots[self.i]['axes']
	775	self.lines = self.subplots[self.i]['lines']
[705]	776
	777	def text(self, args, *kwargs):
[1019]	778	"""
	779	Add text to the figure.
	780	"""
	781	self.figure.text(args, *kwargs)
	782	self.show()
[1147]	783
	784	def vline_with_label(self, x, y, label,
	785	location='bottom', rotate=0.0, **kwargs):
	786	"""
	787	Plot a vertical line with label.
	788	It takes "world" values fo x and y.
	789	"""
	790	ax = self.axes
	791	# need this to suppress autoscaling during this function
	792	self.axes.set_autoscale_on(False)
	793	ymin = 0.0
	794	ymax = 1.0
	795	valign = 'center'
	796	if location.lower() == 'top':
	797	y = max(0.0, y)
	798	elif location.lower() == 'bottom':
	799	y = min(0.0, y)
	800	lbloffset = 0.06
	801	# a rough estimate for the bb of the text
	802	if rotate > 0.0: lbloffset = 0.03*len(label)
	803	peakoffset = 0.01
[1603]	804	xy = None
	805	xy0 = None
	806	# matplotlib api change 0.98 is using transform now
	807	if hasattr(ax.transData, "inverse_xy_tup"):
	808	# get relative coords
	809	xy0 = ax.transData.xy_tup((x,y))
	810	xy = ax.transAxes.inverse_xy_tup(xy0)
	811	else:
	812	xy0 = ax.transData.transform((x,y))
	813	# get relative coords
	814	xy = ax.transAxes.inverted().transform(xy0)
[1147]	815	if location.lower() == 'top':
	816	ymax = 1.0-lbloffset
	817	ymin = xy[1]+peakoffset
	818	valign = 'bottom'
	819	ylbl = ymax+0.01
	820	elif location.lower() == 'bottom':
	821	ymin = lbloffset
	822	ymax = xy[1]-peakoffset
	823	valign = 'top'
	824	ylbl = ymin-0.01
[1603]	825	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	826	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	827	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	828	horizontalalignment='center',
	829	rotation=rotate,transform = trans)
	830	self.axes.set_autoscale_on(True)

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