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source: trunk/python/asaplotbase.py@ 2305

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Last change on this file since 2305 was 2169, checked in by Malte Marquarding, 14 years ago
Fix version check fro matplotlib >=1
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
File size: 29.1 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	import matplotlib
	8
	9	from matplotlib.figure import Figure, Text
[1147]	10	from matplotlib.font_manager import FontProperties as FP
[1739]	11	from numpy import sqrt
[705]	12	from matplotlib import rc, rcParams
[1259]	13	from matplotlib.ticker import OldScalarFormatter
[1147]	14
[1826]	15	from asap.parameters import rcParams as asaprcParams
[1861]	16	from asap.logging import asaplog
[1826]	17
[1425]	18	# API change in mpl >= 0.98
	19	try:
	20	from matplotlib.transforms import blended_transform_factory
	21	except ImportError:
[1560]	22	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1425]	23
[2169]	24	mvers = matplotlib.__version__.split(".")
	25	if int(mvers[0]) == 0 and int(mvers[1]) < 99:
[1819]	26	#print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1826]	27	asaplog.push( "matplotlib version < 0.99. This might cause errors. Please upgrade." )
[1861]	28	asaplog.post( 'WARN' )
[1019]	29
[705]	30	class asaplotbase:
	31	"""
	32	ASAP plotting base class based on matplotlib.
	33	"""
	34
[1563]	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	"""
[1739]	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)
[1553]	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)
[1980]	234	# add a picker to lines for spectral value mode.
	235	# matplotlib.axes.plot returns a list of line object (1 element)
	236	line[0].set_picker(5.0)
[705]	237
[1019]	238	# Add to an existing line?
[1086]	239	i = None
[1019]	240	if add is None or len(self.lines) < add < 0:
	241	# Don't add.
	242	self.lines.append(line)
	243	i = len(self.lines) - 1
	244	else:
	245	if add == 0: add = len(self.lines)
	246	i = add - 1
	247	self.lines[i].extend(line)
[705]	248
[1019]	249	# Set/reset attributes for the line.
	250	gotcolour = False
	251	for k, v in self.attributes.iteritems():
	252	if k == 'color': gotcolour = True
	253	for segment in self.lines[i]:
	254	getattr(segment, "set_%s"%k)(v)
[705]	255
[1019]	256	if not gotcolour and len(self.colormap):
	257	for segment in self.lines[i]:
	258	getattr(segment, "set_color")(self.colormap[self.color])
[710]	259	if len(self.colormap) == 1:
	260	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	261
[1019]	262	self.color += 1
	263	if self.color >= len(self.colormap):
	264	self.color = 0
[705]	265
[710]	266	if len(self.colormap) == 1:
	267	self.linestyle += 1
[1019]	268	if self.linestyle >= len(self.linestyles):
	269	self.linestyle = 0
[710]	270
[1019]	271	self.show()
[705]	272
	273
	274	def position(self):
[1019]	275	"""
	276	Use the mouse to get a position from a graph.
	277	"""
[705]	278
[1019]	279	def position_disable(event):
	280	self.register('button_press', None)
	281	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	282
[1019]	283	print 'Press any mouse button...'
	284	self.register('button_press', position_disable)
[705]	285
	286
[1546]	287	def get_region(self):
	288	pos = []
[1568]	289	print "Please select the bottom/left point"
[1546]	290	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	291	print "Please select the top/right point"
[1546]	292	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	293	return pos
	294
	295	def get_point(self):
[1568]	296	print "Please select the point"
[1553]	297	pt = self.figure.ginput(n=1, show_clicks=False)
	298	if pt:
	299	return pt[0]
	300	else:
	301	return None
[1546]	302
[705]	303	def region(self):
[1019]	304	"""
	305	Use the mouse to get a rectangular region from a plot.
[705]	306
[1019]	307	The return value is [x0, y0, x1, y1] in world coordinates.
	308	"""
[705]	309
[1019]	310	def region_start(event):
[1819]	311	self.rect = {'x': event.x, 'y': event.y,
[1019]	312	'world': [event.xdata, event.ydata,
	313	event.xdata, event.ydata]}
	314	self.register('button_press', None)
	315	self.register('motion_notify', region_draw)
	316	self.register('button_release', region_disable)
[705]	317
[1019]	318	def region_draw(event):
[1819]	319	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	320	self.rect['x'], self.rect['y'])
[1826]	321
[1019]	322	def region_disable(event):
	323	self.register('motion_notify', None)
	324	self.register('button_release', None)
[705]	325
[1019]	326	self.rect['world'][2:4] = [event.xdata, event.ydata]
	327	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	328	self.rect['world'][1], self.rect['world'][2],
	329	self.rect['world'][3])
[1819]	330	self.figmgr.toolbar.release(event)
[705]	331
[1019]	332	self.register('button_press', region_start)
[705]	333
[1019]	334	# This has to be modified to block and return the result (currently
	335	# printed by region_disable) when that becomes possible in matplotlib.
[705]	336
[1019]	337	return [0.0, 0.0, 0.0, 0.0]
[705]	338
	339
	340	def register(self, type=None, func=None):
[1019]	341	"""
	342	Register, reregister, or deregister events of type 'button_press',
	343	'button_release', or 'motion_notify'.
[705]	344
[1019]	345	The specified callback function should have the following signature:
[705]	346
[1019]	347	def func(event)
[705]	348
[1019]	349	where event is an MplEvent instance containing the following data:
[705]	350
[1019]	351	name # Event name.
	352	canvas # FigureCanvas instance generating the event.
	353	x = None # x position - pixels from left of canvas.
	354	y = None # y position - pixels from bottom of canvas.
	355	button = None # Button pressed: None, 1, 2, 3.
	356	key = None # Key pressed: None, chr(range(255)), shift,
	357	win, or control
	358	inaxes = None # Axes instance if cursor within axes.
	359	xdata = None # x world coordinate.
	360	ydata = None # y world coordinate.
[705]	361
[1019]	362	For example:
[705]	363
[1019]	364	def mouse_move(event):
	365	print event.xdata, event.ydata
[705]	366
[1019]	367	a = asaplot()
	368	a.register('motion_notify', mouse_move)
[705]	369
[1019]	370	If func is None, the event is deregistered.
[705]	371
[1019]	372	Note that in TkAgg keyboard button presses don't generate an event.
	373	"""
[705]	374
[1019]	375	if not self.events.has_key(type): return
[705]	376
[1019]	377	if func is None:
	378	if self.events[type] is not None:
	379	# It's not clear that this does anything.
	380	self.canvas.mpl_disconnect(self.events[type])
	381	self.events[type] = None
[705]	382
[1819]	383	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	384	#if type == 'motion_notify':
	385	# self.canvas.mpl_connect(type + '_event',
	386	# self.figmgr.toolbar.mouse_move)
	387	#elif type == 'button_press':
	388	# self.canvas.mpl_connect(type + '_event',
	389	# self.figmgr.toolbar.press)
	390	#elif type == 'button_release':
	391	# self.canvas.mpl_connect(type + '_event',
	392	# self.figmgr.toolbar.release)
[705]	393
[1019]	394	else:
	395	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	396
	397
	398	def release(self):
[1019]	399	"""
	400	Release buffered graphics.
	401	"""
	402	self.buffering = False
	403	self.show()
[705]	404
	405
[1095]	406	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	407	"""
	408	Save the plot to a file.
[705]	409
[1019]	410	fname is the name of the output file. The image format is determined
	411	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	412	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	413	directory.
	414	"""
[1095]	415	from asap import rcParams
	416	if papertype is None:
	417	papertype = rcParams['plotter.papertype']
[1019]	418	if fname is None:
	419	from datetime import datetime
	420	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	421	fname = 'asap'+dstr+'.png'
[705]	422
[1870]	423	d = ['png','.ps','eps', 'svg']
[705]	424
[1019]	425	from os.path import expandvars
	426	fname = expandvars(fname)
[705]	427
[1019]	428	if fname[-3:].lower() in d:
	429	try:
[705]	430	if fname[-3:].lower() == ".ps":
[1020]	431	from matplotlib import __version__ as mv
[1479]	432	w = self.figure.get_figwidth()
	433	h = self.figure.get_figheight()
[1019]	434
[705]	435	if orientation is None:
[1147]	436	# oriented
[705]	437	if w > h:
	438	orientation = 'landscape'
	439	else:
	440	orientation = 'portrait'
[1095]	441	from matplotlib.backends.backend_ps import papersize
	442	pw,ph = papersize[papertype.lower()]
[1025]	443	ds = None
	444	if orientation == 'landscape':
[1095]	445	ds = min(ph/w, pw/h)
[1025]	446	else:
[1095]	447	ds = min(pw/w, ph/h)
[1025]	448	ow = ds * w
	449	oh = ds * h
[1479]	450	self.figure.set_size_inches((ow, oh))
[1095]	451	self.figure.savefig(fname, orientation=orientation,
	452	papertype=papertype.lower())
[1479]	453	self.figure.set_size_inches((w, h))
[705]	454	print 'Written file %s' % (fname)
[1019]	455	else:
[705]	456	if dpi is None:
	457	dpi =150
[1025]	458	self.figure.savefig(fname,dpi=dpi)
[705]	459	print 'Written file %s' % (fname)
[1019]	460	except IOError, msg:
[1819]	461	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1861]	462	asaplog.post()
[1819]	463	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1861]	464	asaplog.post( 'ERROR' )
[1019]	465	return
	466	else:
[1819]	467	#print "Invalid image type. Valid types are:"
	468	#print "'ps', 'eps', 'png'"
	469	asaplog.push( "Invalid image type. Valid types are:" )
[1870]	470	asaplog.push( "'ps', 'eps', 'png', 'svg'" )
[1861]	471	asaplog.post('WARN')
[705]	472
	473
	474	def set_axes(self, what=None, args, *kwargs):
[1019]	475	"""
	476	Set attributes for the axes by calling the relevant Axes.set_*()
	477	method. Colour translation is done as described in the doctext
	478	for palette().
	479	"""
[705]	480
[1019]	481	if what is None: return
	482	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	483
[1153]	484	key = "colour"
	485	if kwargs.has_key(key):
	486	val = kwargs.pop(key)
	487	kwargs["color"] = val
[705]	488
[1153]	489	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	490
[1153]	491	self.show(hardrefresh=False)
[705]	492
[1019]	493
[705]	494	def set_figure(self, what=None, args, *kwargs):
[1019]	495	"""
	496	Set attributes for the figure by calling the relevant Figure.set_*()
	497	method. Colour translation is done as described in the doctext
	498	for palette().
	499	"""
[705]	500
[1019]	501	if what is None: return
	502	if what[-6:] == 'colour': what = what[:-6] + 'color'
	503	#if what[-5:] == 'color' and len(args):
	504	# args = (get_colour(args[0]),)
[705]	505
[1019]	506	newargs = {}
	507	for k, v in kwargs.iteritems():
	508	k = k.lower()
	509	if k == 'colour': k = 'color'
	510	newargs[k] = v
[705]	511
[1019]	512	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	513	self.show(hardrefresh=False)
[705]	514
	515
	516	def set_limits(self, xlim=None, ylim=None):
[1019]	517	"""
	518	Set x-, and y-limits for each subplot.
[705]	519
[1019]	520	xlim = [xmin, xmax] as in axes.set_xlim().
	521	ylim = [ymin, ymax] as in axes.set_ylim().
	522	"""
	523	for s in self.subplots:
	524	self.axes = s['axes']
	525	self.lines = s['lines']
[705]	526	oldxlim = list(self.axes.get_xlim())
	527	oldylim = list(self.axes.get_ylim())
	528	if xlim is not None:
	529	for i in range(len(xlim)):
	530	if xlim[i] is not None:
	531	oldxlim[i] = xlim[i]
[1019]	532	if ylim is not None:
[705]	533	for i in range(len(ylim)):
	534	if ylim[i] is not None:
	535	oldylim[i] = ylim[i]
	536	self.axes.set_xlim(oldxlim)
	537	self.axes.set_ylim(oldylim)
	538	return
	539
	540
	541	def set_line(self, number=None, **kwargs):
[1019]	542	"""
	543	Set attributes for the specified line, or else the next line(s)
	544	to be plotted.
[705]	545
[1019]	546	number is the 0-relative number of a line that has already been
	547	plotted. If no such line exists, attributes are recorded and used
	548	for the next line(s) to be plotted.
[705]	549
[1019]	550	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	551
[1019]	552	import matplotlib
	553	help(matplotlib.lines)
[705]	554
[1019]	555	The set_* methods of class Line2D define the attribute names and
	556	values. For non-US usage, "colour" is recognized as synonymous with
	557	"color".
[705]	558
[1019]	559	Set the value to None to delete an attribute.
[705]	560
[1019]	561	Colour translation is done as described in the doctext for palette().
	562	"""
[705]	563
[1019]	564	redraw = False
	565	for k, v in kwargs.iteritems():
	566	k = k.lower()
	567	if k == 'colour': k = 'color'
[705]	568
[1019]	569	if 0 <= number < len(self.lines):
	570	if self.lines[number] is not None:
	571	for line in self.lines[number]:
	572	getattr(line, "set_%s"%k)(v)
	573	redraw = True
	574	else:
	575	if v is None:
	576	del self.attributes[k]
	577	else:
	578	self.attributes[k] = v
[705]	579
[1153]	580	if redraw: self.show(hardrefresh=False)
[705]	581
	582
[1819]	583	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[2037]	584	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, margin=None,ganged=True):
[1019]	585	"""
	586	Set the panel layout.
[705]	587
[1019]	588	rows and cols, if cols != 0, specify the number of rows and columns in
	589	a regular layout. (Indexing of these panels in matplotlib is row-
	590	major, i.e. column varies fastest.)
[705]	591
[1019]	592	cols == 0 is interpreted as a retangular layout that accomodates
	593	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	594	rows == 2, cols == 3.
[705]	595
[1019]	596	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	597	the configuration specified by rows and cols to be added to the
	598	current figure as its next 0-relative panel number (i). This allows
	599	non-regular panel layouts to be constructed via multiple calls. Any
	600	other value of n clears the plot and produces a rectangular array of
	601	empty panels. The number of these may be limited by nplots.
	602	"""
	603	if n < 0 and len(self.subplots):
	604	self.figure.clear()
	605	self.set_title()
[705]	606
[2037]	607	if margin:
	608	lef, bot, rig, top, wsp, hsp = margin
[1819]	609	self.figure.subplots_adjust(
	610	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	611	del lef,bot,rig,top,wsp,hsp
	612
[1019]	613	if rows < 1: rows = 1
[705]	614
[1019]	615	if cols <= 0:
	616	i = int(sqrt(rows))
	617	if i*i < rows: i += 1
	618	cols = i
[705]	619
[1019]	620	if i*(i-1) >= rows: i -= 1
	621	rows = i
[705]	622
[1019]	623	if 0 <= n < rows*cols:
	624	i = len(self.subplots)
[1819]	625
[1019]	626	self.subplots.append({})
[705]	627
[1019]	628	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	629	cols, n+1)
	630	self.subplots[i]['lines'] = []
[705]	631
[1019]	632	if i == 0: self.subplot(0)
[705]	633
[1019]	634	self.rows = 0
	635	self.cols = 0
[705]	636
[1019]	637	else:
	638	self.subplots = []
[705]	639
[1019]	640	if nplots < 1 or rows*cols < nplots:
	641	nplots = rows*cols
[1025]	642	if ganged:
	643	hsp,wsp = None,None
	644	if rows > 1: hsp = 0.0001
	645	if cols > 1: wsp = 0.0001
	646	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	647	for i in range(nplots):
	648	self.subplots.append({})
[1153]	649	self.subplots[i]['lines'] = []
	650	if not ganged:
	651	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	652	cols, i+1)
[1560]	653	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	654	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	655	else:
	656	if i == 0:
	657	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	658	cols, i+1)
[1560]	659	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1826]	660
[1513]	661	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	662	else:
	663	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	664	cols, i+1,
	665	sharex=self.subplots[0]['axes'],
	666	sharey=self.subplots[0]['axes'])
[1259]	667
[705]	668	# Suppress tick labelling for interior subplots.
	669	if i <= (rows-1)*cols - 1:
	670	if i+cols < nplots:
	671	# Suppress x-labels for frames width
	672	# adjacent frames
[1153]	673	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	674	tick.label1On = False
[1926]	675	#self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	676	if i%cols:
	677	# Suppress y-labels for frames not in the left column.
	678	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	679	tick.label1On = False
[1926]	680	#self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	681	# disable the first tick of [1:ncol-1] of the last row
[1153]	682	#if i+1 < nplots:
	683	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1926]	684	# set axes label state for interior subplots.
	685	if i%cols:
	686	self.subplots[i]['axes'].yaxis.label.set_visible(False)
	687	if (i <= (rows-1)*cols - 1) and (i+cols < nplots):
	688	self.subplots[i]['axes'].xaxis.label.set_visible(False)
	689	self.rows = rows
	690	self.cols = cols
[1019]	691	self.subplot(0)
[2037]	692	del rows,cols,n,nplots,margin,ganged,i
[705]	693
[1926]	694
[1153]	695	def tidy(self):
	696	# this needs to be exceuted after the first "refresh"
	697	nplots = len(self.subplots)
	698	if nplots == 1: return
	699	for i in xrange(nplots):
	700	ax = self.subplots[i]['axes']
	701	if i%self.cols:
	702	ax.xaxis.majorTicks[0].label1On = False
	703	else:
	704	if i != 0:
	705	ax.yaxis.majorTicks[-1].label1On = False
[1926]	706	## set axes label state for interior subplots.
	707	#innerax=False
	708	#if i%self.cols:
	709	# ax.yaxis.label.set_visible(innerax)
	710	#if (i <= (self.rows-1)*self.cols - 1) and (i+self.cols < nplots):
	711	# ax.xaxis.label.set_visible(innerax)
	712
[1153]	713
[705]	714	def set_title(self, title=None):
[1019]	715	"""
	716	Set the title of the plot window. Use the previous title if title is
	717	omitted.
	718	"""
	719	if title is not None:
	720	self.title = title
[705]	721
[1019]	722	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	723
	724
[1153]	725	def show(self, hardrefresh=True):
[1019]	726	"""
	727	Show graphics dependent on the current buffering state.
	728	"""
[1153]	729	if not hardrefresh: return
[1019]	730	if not self.buffering:
	731	if self.loc is not None:
[1086]	732	for sp in self.subplots:
[1019]	733	lines = []
	734	labels = []
	735	i = 0
[1086]	736	for line in sp['lines']:
[1019]	737	i += 1
	738	if line is not None:
	739	lines.append(line[0])
	740	lbl = line[0].get_label()
	741	if lbl == '':
	742	lbl = str(i)
	743	labels.append(lbl)
[705]	744
[1019]	745	if len(lines):
[1147]	746	fp = FP(size=rcParams['legend.fontsize'])
[2068]	747	#fsz = fp.get_size_in_points() - len(lines)
	748	fsz = fp.get_size_in_points() - max(len(lines),self.cols)
	749	#fp.set_size(max(fsz,6))
	750	fp.set_size(max(fsz,8))
[1086]	751	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	752	self.loc, prop=fp)
[1946]	753	#else:
	754	# sp['axes'].legend((' '))
[705]	755
[1086]	756	from matplotlib.artist import setp
[1560]	757	fpx = FP(size=rcParams['xtick.labelsize'])
	758	xts = fpx.get_size_in_points()- (self.cols)/2
	759	fpy = FP(size=rcParams['ytick.labelsize'])
	760	yts = fpy.get_size_in_points() - (self.rows)/2
	761	fpa = FP(size=rcParams['axes.labelsize'])
	762	fpat = FP(size=rcParams['axes.titlesize'])
	763	axsize = fpa.get_size_in_points()
[1819]	764	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	765	for sp in self.subplots:
	766	ax = sp['axes']
[1819]	767	ax.title.set_size(tsize)
[1086]	768	setp(ax.get_xticklabels(), fontsize=xts)
	769	setp(ax.get_yticklabels(), fontsize=yts)
	770	off = 0
[1819]	771	if self.cols > 1: off = self.cols
[1560]	772	ax.xaxis.label.set_size(axsize-off)
[1819]	773	off = 0
	774	if self.rows > 1: off = self.rows
[1560]	775	ax.yaxis.label.set_size(axsize-off)
[705]	776
	777	def subplot(self, i=None, inc=None):
[1019]	778	"""
	779	Set the subplot to the 0-relative panel number as defined by one or
	780	more invokations of set_panels().
	781	"""
	782	l = len(self.subplots)
	783	if l:
	784	if i is not None:
	785	self.i = i
[705]	786
[1019]	787	if inc is not None:
	788	self.i += inc
[705]	789
[1019]	790	self.i %= l
	791	self.axes = self.subplots[self.i]['axes']
	792	self.lines = self.subplots[self.i]['lines']
[705]	793
	794	def text(self, args, *kwargs):
[1019]	795	"""
	796	Add text to the figure.
	797	"""
	798	self.figure.text(args, *kwargs)
	799	self.show()
[1147]	800
	801	def vline_with_label(self, x, y, label,
	802	location='bottom', rotate=0.0, **kwargs):
	803	"""
	804	Plot a vertical line with label.
	805	It takes "world" values fo x and y.
	806	"""
	807	ax = self.axes
	808	# need this to suppress autoscaling during this function
	809	self.axes.set_autoscale_on(False)
	810	ymin = 0.0
	811	ymax = 1.0
	812	valign = 'center'
	813	if location.lower() == 'top':
	814	y = max(0.0, y)
	815	elif location.lower() == 'bottom':
	816	y = min(0.0, y)
	817	lbloffset = 0.06
	818	# a rough estimate for the bb of the text
	819	if rotate > 0.0: lbloffset = 0.03*len(label)
	820	peakoffset = 0.01
[1535]	821	xy = None
	822	xy0 = None
	823	# matplotlib api change 0.98 is using transform now
	824	if hasattr(ax.transData, "inverse_xy_tup"):
	825	# get relative coords
	826	xy0 = ax.transData.xy_tup((x,y))
	827	xy = ax.transAxes.inverse_xy_tup(xy0)
	828	else:
	829	xy0 = ax.transData.transform((x,y))
	830	# get relative coords
	831	xy = ax.transAxes.inverted().transform(xy0)
[1147]	832	if location.lower() == 'top':
	833	ymax = 1.0-lbloffset
	834	ymin = xy[1]+peakoffset
	835	valign = 'bottom'
	836	ylbl = ymax+0.01
	837	elif location.lower() == 'bottom':
	838	ymin = lbloffset
	839	ymax = xy[1]-peakoffset
	840	valign = 'top'
	841	ylbl = ymin-0.01
[1425]	842	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	843	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	844	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	845	horizontalalignment='center',
	846	rotation=rotate,transform = trans)
	847	self.axes.set_autoscale_on(True)

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