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source: branches/alma/python/asaplotbase.py@ 1618

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Last change on this file since 1618 was 1614, checked in by Takeshi Nakazato, 16 years ago

New Development: No

JIRA Issue: Yes CAS-729, CAS-1147

Ready to Release: Yes

Interface Changes: No

What Interface Changed: Please list interface changes

Test Programs: List test programs

Put in Release Notes: No

Module(s): Module Names change impacts.

Description: Describe your changes here...

Added level parameter to print_log()
Replaced casalog.post() to asaplog.push() + print_log().

Property svn:eol-style set to native
Property svn:keywords set to Author Date Id Revision

File size: 27.9 KB

Rev	Line
[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
[1603]	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
[1614]	24	from asap import asaplog
[1612]	25
[1095]	26	if int(matplotlib.__version__.split(".")[1]) < 87:
[1612]	27	#print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1614]	28	asaplog.push( "matplotlib version < 0.87. This might cause errors. Please upgrade." )
	29	print_log( 'WARN' )
[1019]	30
[1259]	31	#class MyFormatter(OldScalarFormatter):
	32	# def __call__(self, x, pos=None):
	33	# last = len(self.locs)-2
	34	# if pos==0:
	35	# return ''
	36	# else: return OldScalarFormatter.__call__(self, x, pos)
[1019]	37
[705]	38	class asaplotbase:
	39	"""
	40	ASAP plotting base class based on matplotlib.
	41	"""
	42
	43	def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
[1019]	44	"""
	45	Create a new instance of the ASAPlot plotting class.
[705]	46
[1019]	47	If rows < 1 then a separate call to set_panels() is required to define
	48	the panel layout; refer to the doctext for set_panels().
	49	"""
[705]	50	self.is_dead = False
[1019]	51	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	52	self.canvas = None
	53
[1019]	54	self.set_title(title)
	55	self.subplots = []
	56	if rows > 0:
	57	self.set_panels(rows, cols)
[705]	58
[710]	59	# Set matplotlib default colour sequence.
	60	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	61
[710]	62	c = asaprcParams['plotter.colours']
	63	if isinstance(c,str) and len(c) > 0:
	64	self.colormap = c.split()
	65
	66	self.lsalias = {"line": [1,0],
	67	"dashdot": [4,2,1,2],
	68	"dashed" : [4,2,4,2],
	69	"dotted" : [1,2],
	70	"dashdotdot": [4,2,1,2,1,2],
	71	"dashdashdot": [4,2,4,2,1,2]
	72	}
	73
	74	styles = "line dashed dotted dashdot".split()
	75	c = asaprcParams['plotter.linestyles']
	76	if isinstance(c,str) and len(c) > 0:
	77	styles = c.split()
	78	s = []
	79	for ls in styles:
	80	if self.lsalias.has_key(ls):
	81	s.append(self.lsalias.get(ls))
	82	else:
	83	s.append('-')
	84	self.linestyles = s
	85
[705]	86	self.color = 0;
[710]	87	self.linestyle = 0;
[1019]	88	self.attributes = {}
	89	self.loc = 0
[705]	90
[1019]	91	self.buffering = buffering
[705]	92
	93	def clear(self):
[1019]	94	"""
[1147]	95	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	96	"""
[705]	97
[1019]	98	for i in range(len(self.lines)):
	99	self.delete(i)
	100	self.axes.clear()
	101	self.color = 0
	102	self.lines = []
[705]	103
[710]	104	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	105	if colormap:
[710]	106	if isinstance(colormap,list):
	107	self.colormap = colormap
	108	elif isinstance(colormap,str):
	109	self.colormap = colormap.split()
[705]	110	if 0 <= color < len(self.colormap):
	111	self.color = color
[710]	112	if linestyles:
	113	self.linestyles = []
	114	if isinstance(linestyles,list):
	115	styles = linestyles
	116	elif isinstance(linestyles,str):
	117	styles = linestyles.split()
	118	for ls in styles:
	119	if self.lsalias.has_key(ls):
	120	self.linestyles.append(self.lsalias.get(ls))
	121	else:
	122	self.linestyles.append(self.lsalias.get('line'))
	123	if 0 <= linestyle < len(self.linestyles):
	124	self.linestyle = linestyle
[705]	125
	126	def delete(self, numbers=None):
[1019]	127	"""
	128	Delete the 0-relative line number, default is to delete the last.
	129	The remaining lines are NOT renumbered.
	130	"""
[705]	131
[1019]	132	if numbers is None: numbers = [len(self.lines)-1]
[705]	133
[1019]	134	if not hasattr(numbers, '__iter__'):
	135	numbers = [numbers]
[705]	136
[1019]	137	for number in numbers:
	138	if 0 <= number < len(self.lines):
	139	if self.lines[number] is not None:
	140	for line in self.lines[number]:
	141	line.set_linestyle('None')
	142	self.lines[number] = None
	143	self.show()
[705]	144
	145	def get_line(self):
[1019]	146	"""
	147	Get the current default line attributes.
	148	"""
	149	return self.attributes
[705]	150
	151
[1086]	152	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	153	"""
	154	Plot a histogram. N.B. the x values refer to the start of the
	155	histogram bin.
[705]	156
[1019]	157	fmt is the line style as in plot().
	158	"""
[1086]	159	from matplotlib.numerix import array
	160	from matplotlib.numerix.ma import MaskedArray
[1019]	161	if x is None:
	162	if y is None: return
[1023]	163	x = range(len(y))
[705]	164
[1019]	165	if len(x) != len(y):
	166	return
	167	l2 = 2*len(x)
[1023]	168	x2 = range(l2)
[1086]	169	y2 = range(12)
[1023]	170	y2 = range(l2)
	171	m2 = range(l2)
[1603]	172	ymsk = None
	173	ydat = None
	174	if hasattr(y, "raw_mask"):
	175	# numpy < 1.1
	176	ymsk = y.raw_mask()
	177	ydat = y.raw_data()
	178	else:
	179	ymsk = y.mask
	180	ydat = y.data
[1023]	181	for i in range(l2):
[1019]	182	x2[i] = x[i/2]
[1086]	183	m2[i] = ymsk[i/2]
[705]	184
[1023]	185	y2[0] = 0.0
[1019]	186	for i in range(1,l2):
[1086]	187	y2[i] = ydat[(i-1)/2]
[705]	188
[1086]	189	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	190
	191
	192	def hold(self, hold=True):
[1019]	193	"""
	194	Buffer graphics until subsequently released.
	195	"""
	196	self.buffering = hold
[705]	197
	198
	199	def legend(self, loc=None):
[1019]	200	"""
	201	Add a legend to the plot.
[705]	202
[1019]	203	Any other value for loc else disables the legend:
	204	1: upper right
	205	2: upper left
	206	3: lower left
	207	4: lower right
	208	5: right
	209	6: center left
	210	7: center right
	211	8: lower center
	212	9: upper center
	213	10: center
[705]	214
[1019]	215	"""
[1095]	216	if isinstance(loc, int):
[1098]	217	self.loc = None
	218	if 0 <= loc <= 10: self.loc = loc
[1095]	219	else:
	220	self.loc = None
	221	#self.show()
[705]	222
	223
[1086]	224	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	225	"""
	226	Plot the next line in the current frame using the current line
	227	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	228
[1019]	229	The argument list works a bit like the matlab plot() function.
	230	"""
	231	if x is None:
	232	if y is None: return
	233	x = range(len(y))
[705]	234
[1019]	235	elif y is None:
	236	y = x
	237	x = range(len(y))
[1086]	238	if fmt is None:
	239	line = self.axes.plot(x, y)
[1019]	240	else:
[1086]	241	line = self.axes.plot(x, y, fmt)
[705]	242
[1019]	243	# Add to an existing line?
[1086]	244	i = None
[1019]	245	if add is None or len(self.lines) < add < 0:
	246	# Don't add.
	247	self.lines.append(line)
	248	i = len(self.lines) - 1
	249	else:
	250	if add == 0: add = len(self.lines)
	251	i = add - 1
	252	self.lines[i].extend(line)
[705]	253
[1019]	254	# Set/reset attributes for the line.
	255	gotcolour = False
	256	for k, v in self.attributes.iteritems():
	257	if k == 'color': gotcolour = True
	258	for segment in self.lines[i]:
	259	getattr(segment, "set_%s"%k)(v)
[705]	260
[1019]	261	if not gotcolour and len(self.colormap):
	262	for segment in self.lines[i]:
	263	getattr(segment, "set_color")(self.colormap[self.color])
[710]	264	if len(self.colormap) == 1:
	265	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	266
[1019]	267	self.color += 1
	268	if self.color >= len(self.colormap):
	269	self.color = 0
[705]	270
[710]	271	if len(self.colormap) == 1:
	272	self.linestyle += 1
[1019]	273	if self.linestyle >= len(self.linestyles):
	274	self.linestyle = 0
[710]	275
[1019]	276	self.show()
[705]	277
	278
	279	def position(self):
[1019]	280	"""
	281	Use the mouse to get a position from a graph.
	282	"""
[705]	283
[1019]	284	def position_disable(event):
	285	self.register('button_press', None)
	286	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	287
[1019]	288	print 'Press any mouse button...'
	289	self.register('button_press', position_disable)
[705]	290
	291
	292	def region(self):
[1019]	293	"""
	294	Use the mouse to get a rectangular region from a plot.
[705]	295
[1019]	296	The return value is [x0, y0, x1, y1] in world coordinates.
	297	"""
[705]	298
[1019]	299	def region_start(event):
	300	height = self.canvas.figure.bbox.height()
	301	self.rect = {'fig': None, 'height': height,
	302	'x': event.x, 'y': height - event.y,
	303	'world': [event.xdata, event.ydata,
	304	event.xdata, event.ydata]}
	305	self.register('button_press', None)
	306	self.register('motion_notify', region_draw)
	307	self.register('button_release', region_disable)
[705]	308
[1019]	309	def region_draw(event):
	310	self.canvas._tkcanvas.delete(self.rect['fig'])
	311	self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
	312	self.rect['x'], self.rect['y'],
	313	event.x, self.rect['height'] - event.y)
[705]	314
[1019]	315	def region_disable(event):
	316	self.register('motion_notify', None)
	317	self.register('button_release', None)
[705]	318
[1019]	319	self.canvas._tkcanvas.delete(self.rect['fig'])
[705]	320
[1019]	321	self.rect['world'][2:4] = [event.xdata, event.ydata]
	322	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	323	self.rect['world'][1], self.rect['world'][2],
	324	self.rect['world'][3])
[705]	325
[1019]	326	self.register('button_press', region_start)
[705]	327
[1019]	328	# This has to be modified to block and return the result (currently
	329	# printed by region_disable) when that becomes possible in matplotlib.
[705]	330
[1019]	331	return [0.0, 0.0, 0.0, 0.0]
[705]	332
	333
	334	def register(self, type=None, func=None):
[1019]	335	"""
	336	Register, reregister, or deregister events of type 'button_press',
	337	'button_release', or 'motion_notify'.
[705]	338
[1019]	339	The specified callback function should have the following signature:
[705]	340
[1019]	341	def func(event)
[705]	342
[1019]	343	where event is an MplEvent instance containing the following data:
[705]	344
[1019]	345	name # Event name.
	346	canvas # FigureCanvas instance generating the event.
	347	x = None # x position - pixels from left of canvas.
	348	y = None # y position - pixels from bottom of canvas.
	349	button = None # Button pressed: None, 1, 2, 3.
	350	key = None # Key pressed: None, chr(range(255)), shift,
	351	win, or control
	352	inaxes = None # Axes instance if cursor within axes.
	353	xdata = None # x world coordinate.
	354	ydata = None # y world coordinate.
[705]	355
[1019]	356	For example:
[705]	357
[1019]	358	def mouse_move(event):
	359	print event.xdata, event.ydata
[705]	360
[1019]	361	a = asaplot()
	362	a.register('motion_notify', mouse_move)
[705]	363
[1019]	364	If func is None, the event is deregistered.
[705]	365
[1019]	366	Note that in TkAgg keyboard button presses don't generate an event.
	367	"""
[705]	368
[1019]	369	if not self.events.has_key(type): return
[705]	370
[1019]	371	if func is None:
	372	if self.events[type] is not None:
	373	# It's not clear that this does anything.
	374	self.canvas.mpl_disconnect(self.events[type])
	375	self.events[type] = None
[705]	376
[1019]	377	# It seems to be necessary to return events to the toolbar.
	378	if type == 'motion_notify':
	379	self.canvas.mpl_connect(type + '_event',
	380	self.figmgr.toolbar.mouse_move)
	381	elif type == 'button_press':
	382	self.canvas.mpl_connect(type + '_event',
	383	self.figmgr.toolbar.press)
	384	elif type == 'button_release':
	385	self.canvas.mpl_connect(type + '_event',
	386	self.figmgr.toolbar.release)
[705]	387
[1019]	388	else:
	389	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	390
	391
	392	def release(self):
[1019]	393	"""
	394	Release buffered graphics.
	395	"""
	396	self.buffering = False
	397	self.show()
[705]	398
	399
[1095]	400	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	401	"""
	402	Save the plot to a file.
[705]	403
[1019]	404	fname is the name of the output file. The image format is determined
	405	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	406	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	407	directory.
	408	"""
[1095]	409	from asap import rcParams
	410	if papertype is None:
	411	papertype = rcParams['plotter.papertype']
[1019]	412	if fname is None:
	413	from datetime import datetime
	414	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	415	fname = 'asap'+dstr+'.png'
[705]	416
[1019]	417	d = ['png','.ps','eps']
[705]	418
[1019]	419	from os.path import expandvars
	420	fname = expandvars(fname)
[705]	421
[1019]	422	if fname[-3:].lower() in d:
	423	try:
[705]	424	if fname[-3:].lower() == ".ps":
[1020]	425	from matplotlib import __version__ as mv
[1603]	426	w = self.figure.get_figwidth()
	427	h = self.figure.get_figheight()
[1019]	428
[705]	429	if orientation is None:
[1147]	430	# oriented
[705]	431	if w > h:
	432	orientation = 'landscape'
	433	else:
	434	orientation = 'portrait'
[1095]	435	from matplotlib.backends.backend_ps import papersize
	436	pw,ph = papersize[papertype.lower()]
[1025]	437	ds = None
	438	if orientation == 'landscape':
[1095]	439	ds = min(ph/w, pw/h)
[1025]	440	else:
[1095]	441	ds = min(pw/w, ph/h)
[1025]	442	ow = ds * w
	443	oh = ds * h
[1603]	444	self.figure.set_size_inches((ow, oh))
[1095]	445	self.figure.savefig(fname, orientation=orientation,
	446	papertype=papertype.lower())
[1603]	447	self.figure.set_size_inches((w, h))
[705]	448	print 'Written file %s' % (fname)
[1019]	449	else:
[705]	450	if dpi is None:
	451	dpi =150
[1025]	452	self.figure.savefig(fname,dpi=dpi)
[705]	453	print 'Written file %s' % (fname)
[1019]	454	except IOError, msg:
[1612]	455	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1614]	456	print_log()
	457	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, msg))
	458	print_log( 'ERROR' )
[1019]	459	return
	460	else:
[1612]	461	#print "Invalid image type. Valid types are:"
	462	#print "'ps', 'eps', 'png'"
[1614]	463	asaplog.push( "Invalid image type. Valid types are:" )
	464	asaplog.push( "'ps', 'eps', 'png'" )
	465	print_log('WARN')
[705]	466
	467
	468	def set_axes(self, what=None, args, *kwargs):
[1019]	469	"""
	470	Set attributes for the axes by calling the relevant Axes.set_*()
	471	method. Colour translation is done as described in the doctext
	472	for palette().
	473	"""
[705]	474
[1019]	475	if what is None: return
	476	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	477
[1153]	478	key = "colour"
	479	if kwargs.has_key(key):
	480	val = kwargs.pop(key)
	481	kwargs["color"] = val
[705]	482
[1153]	483	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	484
[1153]	485	self.show(hardrefresh=False)
[705]	486
[1019]	487
[705]	488	def set_figure(self, what=None, args, *kwargs):
[1019]	489	"""
	490	Set attributes for the figure by calling the relevant Figure.set_*()
	491	method. Colour translation is done as described in the doctext
	492	for palette().
	493	"""
[705]	494
[1019]	495	if what is None: return
	496	if what[-6:] == 'colour': what = what[:-6] + 'color'
	497	#if what[-5:] == 'color' and len(args):
	498	# args = (get_colour(args[0]),)
[705]	499
[1019]	500	newargs = {}
	501	for k, v in kwargs.iteritems():
	502	k = k.lower()
	503	if k == 'colour': k = 'color'
	504	newargs[k] = v
[705]	505
[1019]	506	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	507	self.show(hardrefresh=False)
[705]	508
	509
	510	def set_limits(self, xlim=None, ylim=None):
[1019]	511	"""
	512	Set x-, and y-limits for each subplot.
[705]	513
[1019]	514	xlim = [xmin, xmax] as in axes.set_xlim().
	515	ylim = [ymin, ymax] as in axes.set_ylim().
	516	"""
	517	for s in self.subplots:
	518	self.axes = s['axes']
	519	self.lines = s['lines']
[705]	520	oldxlim = list(self.axes.get_xlim())
	521	oldylim = list(self.axes.get_ylim())
	522	if xlim is not None:
	523	for i in range(len(xlim)):
	524	if xlim[i] is not None:
	525	oldxlim[i] = xlim[i]
[1019]	526	if ylim is not None:
[705]	527	for i in range(len(ylim)):
	528	if ylim[i] is not None:
	529	oldylim[i] = ylim[i]
	530	self.axes.set_xlim(oldxlim)
	531	self.axes.set_ylim(oldylim)
	532	return
	533
	534
	535	def set_line(self, number=None, **kwargs):
[1019]	536	"""
	537	Set attributes for the specified line, or else the next line(s)
	538	to be plotted.
[705]	539
[1019]	540	number is the 0-relative number of a line that has already been
	541	plotted. If no such line exists, attributes are recorded and used
	542	for the next line(s) to be plotted.
[705]	543
[1019]	544	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	545
[1019]	546	import matplotlib
	547	help(matplotlib.lines)
[705]	548
[1019]	549	The set_* methods of class Line2D define the attribute names and
	550	values. For non-US usage, "colour" is recognized as synonymous with
	551	"color".
[705]	552
[1019]	553	Set the value to None to delete an attribute.
[705]	554
[1019]	555	Colour translation is done as described in the doctext for palette().
	556	"""
[705]	557
[1019]	558	redraw = False
	559	for k, v in kwargs.iteritems():
	560	k = k.lower()
	561	if k == 'colour': k = 'color'
[705]	562
[1019]	563	if 0 <= number < len(self.lines):
	564	if self.lines[number] is not None:
	565	for line in self.lines[number]:
	566	getattr(line, "set_%s"%k)(v)
	567	redraw = True
	568	else:
	569	if v is None:
	570	del self.attributes[k]
	571	else:
	572	self.attributes[k] = v
[705]	573
[1153]	574	if redraw: self.show(hardrefresh=False)
[705]	575
	576
	577	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[1019]	578	"""
	579	Set the panel layout.
[705]	580
[1019]	581	rows and cols, if cols != 0, specify the number of rows and columns in
	582	a regular layout. (Indexing of these panels in matplotlib is row-
	583	major, i.e. column varies fastest.)
[705]	584
[1019]	585	cols == 0 is interpreted as a retangular layout that accomodates
	586	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	587	rows == 2, cols == 3.
[705]	588
[1019]	589	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	590	the configuration specified by rows and cols to be added to the
	591	current figure as its next 0-relative panel number (i). This allows
	592	non-regular panel layouts to be constructed via multiple calls. Any
	593	other value of n clears the plot and produces a rectangular array of
	594	empty panels. The number of these may be limited by nplots.
	595	"""
	596	if n < 0 and len(self.subplots):
	597	self.figure.clear()
	598	self.set_title()
[705]	599
[1019]	600	if rows < 1: rows = 1
[705]	601
[1019]	602	if cols <= 0:
	603	i = int(sqrt(rows))
	604	if i*i < rows: i += 1
	605	cols = i
[705]	606
[1019]	607	if i*(i-1) >= rows: i -= 1
	608	rows = i
[705]	609
[1019]	610	if 0 <= n < rows*cols:
	611	i = len(self.subplots)
	612	self.subplots.append({})
[705]	613
[1019]	614	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	615	cols, n+1)
	616	self.subplots[i]['lines'] = []
[705]	617
[1019]	618	if i == 0: self.subplot(0)
[705]	619
[1019]	620	self.rows = 0
	621	self.cols = 0
[705]	622
[1019]	623	else:
	624	self.subplots = []
[705]	625
[1019]	626	if nplots < 1 or rows*cols < nplots:
	627	nplots = rows*cols
[1025]	628	if ganged:
	629	hsp,wsp = None,None
	630	if rows > 1: hsp = 0.0001
	631	if cols > 1: wsp = 0.0001
	632	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	633	for i in range(nplots):
	634	self.subplots.append({})
[1153]	635	self.subplots[i]['lines'] = []
	636	if not ganged:
	637	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	638	cols, i+1)
[1603]	639	if asaprcParams['plotter.xaxisformatting'] == 'mpl':
	640	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	641	else:
	642	if i == 0:
	643	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	644	cols, i+1)
[1603]	645	if asaprcParams['plotter.xaxisformatting'] != 'mpl':
	646
	647	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	648	else:
	649	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	650	cols, i+1,
	651	sharex=self.subplots[0]['axes'],
	652	sharey=self.subplots[0]['axes'])
[1259]	653
[705]	654	# Suppress tick labelling for interior subplots.
	655	if i <= (rows-1)*cols - 1:
	656	if i+cols < nplots:
	657	# Suppress x-labels for frames width
	658	# adjacent frames
[1153]	659	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	660	tick.label1On = False
[1019]	661	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	662	if i%cols:
	663	# Suppress y-labels for frames not in the left column.
	664	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	665	tick.label1On = False
	666	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	667	# disable the first tick of [1:ncol-1] of the last row
[1153]	668	#if i+1 < nplots:
	669	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	670	self.rows = rows
	671	self.cols = cols
	672	self.subplot(0)
[705]	673
[1153]	674	def tidy(self):
	675	# this needs to be exceuted after the first "refresh"
	676	nplots = len(self.subplots)
	677	if nplots == 1: return
	678	for i in xrange(nplots):
	679	ax = self.subplots[i]['axes']
	680	if i%self.cols:
	681	ax.xaxis.majorTicks[0].label1On = False
	682	else:
	683	if i != 0:
	684	ax.yaxis.majorTicks[-1].label1On = False
	685
	686
[705]	687	def set_title(self, title=None):
[1019]	688	"""
	689	Set the title of the plot window. Use the previous title if title is
	690	omitted.
	691	"""
	692	if title is not None:
	693	self.title = title
[705]	694
[1019]	695	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	696
	697
[1153]	698	def show(self, hardrefresh=True):
[1019]	699	"""
	700	Show graphics dependent on the current buffering state.
	701	"""
[1153]	702	if not hardrefresh: return
[1019]	703	if not self.buffering:
	704	if self.loc is not None:
[1086]	705	for sp in self.subplots:
[1019]	706	lines = []
	707	labels = []
	708	i = 0
[1086]	709	for line in sp['lines']:
[1019]	710	i += 1
	711	if line is not None:
	712	lines.append(line[0])
	713	lbl = line[0].get_label()
	714	if lbl == '':
	715	lbl = str(i)
	716	labels.append(lbl)
[705]	717
[1019]	718	if len(lines):
[1147]	719	fp = FP(size=rcParams['legend.fontsize'])
	720	fsz = fp.get_size_in_points() - len(lines)
	721	fp.set_size(max(fsz,6))
[1086]	722	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	723	self.loc, prop=fp)
[1019]	724	else:
[1086]	725	sp['axes'].legend((' '))
[705]	726
[1086]	727	from matplotlib.artist import setp
[1147]	728	fp = FP(size=rcParams['xtick.labelsize'])
	729	xts = fp.get_size_in_points()- (self.cols)/2
	730	fp = FP(size=rcParams['ytick.labelsize'])
	731	yts = fp.get_size_in_points() - (self.rows)/2
[1086]	732	for sp in self.subplots:
	733	ax = sp['axes']
[1603]	734	s = ax.title.get_size()
	735	tsize = s-(self.cols+self.rows)
	736	ax.title.set_size(tsize)
[1147]	737	fp = FP(size=rcParams['axes.labelsize'])
[1086]	738	setp(ax.get_xticklabels(), fontsize=xts)
	739	setp(ax.get_yticklabels(), fontsize=yts)
[1147]	740	origx = fp.get_size_in_points()
	741	origy = origx
[1086]	742	off = 0
	743	if self.cols > 1: off = self.cols
	744	xfsize = origx-off
	745	ax.xaxis.label.set_size(xfsize)
	746	off = 0
	747	if self.rows > 1: off = self.rows
	748	yfsize = origy-off
	749	ax.yaxis.label.set_size(yfsize)
[705]	750
	751	def subplot(self, i=None, inc=None):
[1019]	752	"""
	753	Set the subplot to the 0-relative panel number as defined by one or
	754	more invokations of set_panels().
	755	"""
	756	l = len(self.subplots)
	757	if l:
	758	if i is not None:
	759	self.i = i
[705]	760
[1019]	761	if inc is not None:
	762	self.i += inc
[705]	763
[1019]	764	self.i %= l
	765	self.axes = self.subplots[self.i]['axes']
	766	self.lines = self.subplots[self.i]['lines']
[705]	767
	768	def text(self, args, *kwargs):
[1019]	769	"""
	770	Add text to the figure.
	771	"""
	772	self.figure.text(args, *kwargs)
	773	self.show()
[1147]	774
	775	def vline_with_label(self, x, y, label,
	776	location='bottom', rotate=0.0, **kwargs):
	777	"""
	778	Plot a vertical line with label.
	779	It takes "world" values fo x and y.
	780	"""
	781	ax = self.axes
	782	# need this to suppress autoscaling during this function
	783	self.axes.set_autoscale_on(False)
	784	ymin = 0.0
	785	ymax = 1.0
	786	valign = 'center'
	787	if location.lower() == 'top':
	788	y = max(0.0, y)
	789	elif location.lower() == 'bottom':
	790	y = min(0.0, y)
	791	lbloffset = 0.06
	792	# a rough estimate for the bb of the text
	793	if rotate > 0.0: lbloffset = 0.03*len(label)
	794	peakoffset = 0.01
[1603]	795	xy = None
	796	xy0 = None
	797	# matplotlib api change 0.98 is using transform now
	798	if hasattr(ax.transData, "inverse_xy_tup"):
	799	# get relative coords
	800	xy0 = ax.transData.xy_tup((x,y))
	801	xy = ax.transAxes.inverse_xy_tup(xy0)
	802	else:
	803	xy0 = ax.transData.transform((x,y))
	804	# get relative coords
	805	xy = ax.transAxes.inverted().transform(xy0)
[1147]	806	if location.lower() == 'top':
	807	ymax = 1.0-lbloffset
	808	ymin = xy[1]+peakoffset
	809	valign = 'bottom'
	810	ylbl = ymax+0.01
	811	elif location.lower() == 'bottom':
	812	ymin = lbloffset
	813	ymax = xy[1]-peakoffset
	814	valign = 'top'
	815	ylbl = ymin-0.01
[1603]	816	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	817	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	818	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	819	horizontalalignment='center',
	820	rotation=rotate,transform = trans)
	821	self.axes.set_autoscale_on(True)

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