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asaplotbase.py@ 2013

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Last change on this file since 2013 was 1561, checked in by Malte Marquarding, 15 years ago
fix for numpy >= 1.1
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File size: 27.4 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
[705]	12	from matplotlib.numerix import sqrt
	13	from matplotlib import rc, rcParams
[710]	14	from asap import rcParams as asaprcParams
[1259]	15	from matplotlib.ticker import OldScalarFormatter
[1019]	16	from matplotlib.ticker import NullLocator
[1147]	17
[1425]	18	# API change in mpl >= 0.98
	19	try:
	20	from matplotlib.transforms import blended_transform_factory
	21	except ImportError:
	22	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
	23
[1095]	24	if int(matplotlib.__version__.split(".")[1]) < 87:
	25	print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1019]	26
[1259]	27	#class MyFormatter(OldScalarFormatter):
	28	# def __call__(self, x, pos=None):
	29	# last = len(self.locs)-2
	30	# if pos==0:
	31	# return ''
	32	# else: return OldScalarFormatter.__call__(self, x, pos)
[1019]	33
[705]	34	class asaplotbase:
	35	"""
	36	ASAP plotting base class based on matplotlib.
	37	"""
	38
	39	def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
[1019]	40	"""
	41	Create a new instance of the ASAPlot plotting class.
[705]	42
[1019]	43	If rows < 1 then a separate call to set_panels() is required to define
	44	the panel layout; refer to the doctext for set_panels().
	45	"""
[705]	46	self.is_dead = False
[1019]	47	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	48	self.canvas = None
	49
[1019]	50	self.set_title(title)
	51	self.subplots = []
	52	if rows > 0:
	53	self.set_panels(rows, cols)
[705]	54
[710]	55	# Set matplotlib default colour sequence.
	56	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	57
[710]	58	c = asaprcParams['plotter.colours']
	59	if isinstance(c,str) and len(c) > 0:
	60	self.colormap = c.split()
	61
	62	self.lsalias = {"line": [1,0],
	63	"dashdot": [4,2,1,2],
	64	"dashed" : [4,2,4,2],
	65	"dotted" : [1,2],
	66	"dashdotdot": [4,2,1,2,1,2],
	67	"dashdashdot": [4,2,4,2,1,2]
	68	}
	69
	70	styles = "line dashed dotted dashdot".split()
	71	c = asaprcParams['plotter.linestyles']
	72	if isinstance(c,str) and len(c) > 0:
	73	styles = c.split()
	74	s = []
	75	for ls in styles:
	76	if self.lsalias.has_key(ls):
	77	s.append(self.lsalias.get(ls))
	78	else:
	79	s.append('-')
	80	self.linestyles = s
	81
[705]	82	self.color = 0;
[710]	83	self.linestyle = 0;
[1019]	84	self.attributes = {}
	85	self.loc = 0
[705]	86
[1019]	87	self.buffering = buffering
[705]	88
	89	def clear(self):
[1019]	90	"""
[1147]	91	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	92	"""
[705]	93
[1019]	94	for i in range(len(self.lines)):
	95	self.delete(i)
	96	self.axes.clear()
	97	self.color = 0
	98	self.lines = []
[705]	99
[710]	100	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	101	if colormap:
[710]	102	if isinstance(colormap,list):
	103	self.colormap = colormap
	104	elif isinstance(colormap,str):
	105	self.colormap = colormap.split()
[705]	106	if 0 <= color < len(self.colormap):
	107	self.color = color
[710]	108	if linestyles:
	109	self.linestyles = []
	110	if isinstance(linestyles,list):
	111	styles = linestyles
	112	elif isinstance(linestyles,str):
	113	styles = linestyles.split()
	114	for ls in styles:
	115	if self.lsalias.has_key(ls):
	116	self.linestyles.append(self.lsalias.get(ls))
	117	else:
	118	self.linestyles.append(self.lsalias.get('line'))
	119	if 0 <= linestyle < len(self.linestyles):
	120	self.linestyle = linestyle
[705]	121
	122	def delete(self, numbers=None):
[1019]	123	"""
	124	Delete the 0-relative line number, default is to delete the last.
	125	The remaining lines are NOT renumbered.
	126	"""
[705]	127
[1019]	128	if numbers is None: numbers = [len(self.lines)-1]
[705]	129
[1019]	130	if not hasattr(numbers, '__iter__'):
	131	numbers = [numbers]
[705]	132
[1019]	133	for number in numbers:
	134	if 0 <= number < len(self.lines):
	135	if self.lines[number] is not None:
	136	for line in self.lines[number]:
	137	line.set_linestyle('None')
	138	self.lines[number] = None
	139	self.show()
[705]	140
	141	def get_line(self):
[1019]	142	"""
	143	Get the current default line attributes.
	144	"""
	145	return self.attributes
[705]	146
	147
[1086]	148	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	149	"""
	150	Plot a histogram. N.B. the x values refer to the start of the
	151	histogram bin.
[705]	152
[1019]	153	fmt is the line style as in plot().
	154	"""
[1086]	155	from matplotlib.numerix import array
	156	from matplotlib.numerix.ma import MaskedArray
[1019]	157	if x is None:
	158	if y is None: return
[1023]	159	x = range(len(y))
[705]	160
[1019]	161	if len(x) != len(y):
	162	return
	163	l2 = 2*len(x)
[1023]	164	x2 = range(l2)
[1086]	165	y2 = range(12)
[1023]	166	y2 = range(l2)
	167	m2 = range(l2)
[1561]	168	ymsk = None
	169	ydat = None
	170	if hasattr(y, "raw_mask"):
	171	# numpy < 1.1
	172	ymsk = y.raw_mask()
	173	ydat = y.raw_data()
	174	else:
	175	ymsk = y.mask
	176	ydat = y.data
[1023]	177	for i in range(l2):
[1019]	178	x2[i] = x[i/2]
[1086]	179	m2[i] = ymsk[i/2]
[705]	180
[1023]	181	y2[0] = 0.0
[1019]	182	for i in range(1,l2):
[1086]	183	y2[i] = ydat[(i-1)/2]
[705]	184
[1086]	185	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	186
	187
	188	def hold(self, hold=True):
[1019]	189	"""
	190	Buffer graphics until subsequently released.
	191	"""
	192	self.buffering = hold
[705]	193
	194
	195	def legend(self, loc=None):
[1019]	196	"""
	197	Add a legend to the plot.
[705]	198
[1019]	199	Any other value for loc else disables the legend:
	200	1: upper right
	201	2: upper left
	202	3: lower left
	203	4: lower right
	204	5: right
	205	6: center left
	206	7: center right
	207	8: lower center
	208	9: upper center
	209	10: center
[705]	210
[1019]	211	"""
[1095]	212	if isinstance(loc, int):
[1098]	213	self.loc = None
	214	if 0 <= loc <= 10: self.loc = loc
[1095]	215	else:
	216	self.loc = None
	217	#self.show()
[705]	218
	219
[1086]	220	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	221	"""
	222	Plot the next line in the current frame using the current line
	223	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	224
[1019]	225	The argument list works a bit like the matlab plot() function.
	226	"""
	227	if x is None:
	228	if y is None: return
	229	x = range(len(y))
[705]	230
[1019]	231	elif y is None:
	232	y = x
	233	x = range(len(y))
[1086]	234	if fmt is None:
	235	line = self.axes.plot(x, y)
[1019]	236	else:
[1086]	237	line = self.axes.plot(x, y, fmt)
[705]	238
[1019]	239	# Add to an existing line?
[1086]	240	i = None
[1019]	241	if add is None or len(self.lines) < add < 0:
	242	# Don't add.
	243	self.lines.append(line)
	244	i = len(self.lines) - 1
	245	else:
	246	if add == 0: add = len(self.lines)
	247	i = add - 1
	248	self.lines[i].extend(line)
[705]	249
[1019]	250	# Set/reset attributes for the line.
	251	gotcolour = False
	252	for k, v in self.attributes.iteritems():
	253	if k == 'color': gotcolour = True
	254	for segment in self.lines[i]:
	255	getattr(segment, "set_%s"%k)(v)
[705]	256
[1019]	257	if not gotcolour and len(self.colormap):
	258	for segment in self.lines[i]:
	259	getattr(segment, "set_color")(self.colormap[self.color])
[710]	260	if len(self.colormap) == 1:
	261	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	262
[1019]	263	self.color += 1
	264	if self.color >= len(self.colormap):
	265	self.color = 0
[705]	266
[710]	267	if len(self.colormap) == 1:
	268	self.linestyle += 1
[1019]	269	if self.linestyle >= len(self.linestyles):
	270	self.linestyle = 0
[710]	271
[1019]	272	self.show()
[705]	273
	274
	275	def position(self):
[1019]	276	"""
	277	Use the mouse to get a position from a graph.
	278	"""
[705]	279
[1019]	280	def position_disable(event):
	281	self.register('button_press', None)
	282	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	283
[1019]	284	print 'Press any mouse button...'
	285	self.register('button_press', position_disable)
[705]	286
	287
	288	def region(self):
[1019]	289	"""
	290	Use the mouse to get a rectangular region from a plot.
[705]	291
[1019]	292	The return value is [x0, y0, x1, y1] in world coordinates.
	293	"""
[705]	294
[1019]	295	def region_start(event):
	296	height = self.canvas.figure.bbox.height()
	297	self.rect = {'fig': None, 'height': height,
	298	'x': event.x, 'y': height - event.y,
	299	'world': [event.xdata, event.ydata,
	300	event.xdata, event.ydata]}
	301	self.register('button_press', None)
	302	self.register('motion_notify', region_draw)
	303	self.register('button_release', region_disable)
[705]	304
[1019]	305	def region_draw(event):
	306	self.canvas._tkcanvas.delete(self.rect['fig'])
	307	self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
	308	self.rect['x'], self.rect['y'],
	309	event.x, self.rect['height'] - event.y)
[705]	310
[1019]	311	def region_disable(event):
	312	self.register('motion_notify', None)
	313	self.register('button_release', None)
[705]	314
[1019]	315	self.canvas._tkcanvas.delete(self.rect['fig'])
[705]	316
[1019]	317	self.rect['world'][2:4] = [event.xdata, event.ydata]
	318	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	319	self.rect['world'][1], self.rect['world'][2],
	320	self.rect['world'][3])
[705]	321
[1019]	322	self.register('button_press', region_start)
[705]	323
[1019]	324	# This has to be modified to block and return the result (currently
	325	# printed by region_disable) when that becomes possible in matplotlib.
[705]	326
[1019]	327	return [0.0, 0.0, 0.0, 0.0]
[705]	328
	329
	330	def register(self, type=None, func=None):
[1019]	331	"""
	332	Register, reregister, or deregister events of type 'button_press',
	333	'button_release', or 'motion_notify'.
[705]	334
[1019]	335	The specified callback function should have the following signature:
[705]	336
[1019]	337	def func(event)
[705]	338
[1019]	339	where event is an MplEvent instance containing the following data:
[705]	340
[1019]	341	name # Event name.
	342	canvas # FigureCanvas instance generating the event.
	343	x = None # x position - pixels from left of canvas.
	344	y = None # y position - pixels from bottom of canvas.
	345	button = None # Button pressed: None, 1, 2, 3.
	346	key = None # Key pressed: None, chr(range(255)), shift,
	347	win, or control
	348	inaxes = None # Axes instance if cursor within axes.
	349	xdata = None # x world coordinate.
	350	ydata = None # y world coordinate.
[705]	351
[1019]	352	For example:
[705]	353
[1019]	354	def mouse_move(event):
	355	print event.xdata, event.ydata
[705]	356
[1019]	357	a = asaplot()
	358	a.register('motion_notify', mouse_move)
[705]	359
[1019]	360	If func is None, the event is deregistered.
[705]	361
[1019]	362	Note that in TkAgg keyboard button presses don't generate an event.
	363	"""
[705]	364
[1019]	365	if not self.events.has_key(type): return
[705]	366
[1019]	367	if func is None:
	368	if self.events[type] is not None:
	369	# It's not clear that this does anything.
	370	self.canvas.mpl_disconnect(self.events[type])
	371	self.events[type] = None
[705]	372
[1019]	373	# It seems to be necessary to return events to the toolbar.
	374	if type == 'motion_notify':
	375	self.canvas.mpl_connect(type + '_event',
	376	self.figmgr.toolbar.mouse_move)
	377	elif type == 'button_press':
	378	self.canvas.mpl_connect(type + '_event',
	379	self.figmgr.toolbar.press)
	380	elif type == 'button_release':
	381	self.canvas.mpl_connect(type + '_event',
	382	self.figmgr.toolbar.release)
[705]	383
[1019]	384	else:
	385	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	386
	387
	388	def release(self):
[1019]	389	"""
	390	Release buffered graphics.
	391	"""
	392	self.buffering = False
	393	self.show()
[705]	394
	395
[1095]	396	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	397	"""
	398	Save the plot to a file.
[705]	399
[1019]	400	fname is the name of the output file. The image format is determined
	401	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	402	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	403	directory.
	404	"""
[1095]	405	from asap import rcParams
	406	if papertype is None:
	407	papertype = rcParams['plotter.papertype']
[1019]	408	if fname is None:
	409	from datetime import datetime
	410	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	411	fname = 'asap'+dstr+'.png'
[705]	412
[1019]	413	d = ['png','.ps','eps']
[705]	414
[1019]	415	from os.path import expandvars
	416	fname = expandvars(fname)
[705]	417
[1019]	418	if fname[-3:].lower() in d:
	419	try:
[705]	420	if fname[-3:].lower() == ".ps":
[1020]	421	from matplotlib import __version__ as mv
[1479]	422	w = self.figure.get_figwidth()
	423	h = self.figure.get_figheight()
[1019]	424
[705]	425	if orientation is None:
[1147]	426	# oriented
[705]	427	if w > h:
	428	orientation = 'landscape'
	429	else:
	430	orientation = 'portrait'
[1095]	431	from matplotlib.backends.backend_ps import papersize
	432	pw,ph = papersize[papertype.lower()]
[1025]	433	ds = None
	434	if orientation == 'landscape':
[1095]	435	ds = min(ph/w, pw/h)
[1025]	436	else:
[1095]	437	ds = min(pw/w, ph/h)
[1025]	438	ow = ds * w
	439	oh = ds * h
[1479]	440	self.figure.set_size_inches((ow, oh))
[1095]	441	self.figure.savefig(fname, orientation=orientation,
	442	papertype=papertype.lower())
[1479]	443	self.figure.set_size_inches((w, h))
[705]	444	print 'Written file %s' % (fname)
[1019]	445	else:
[705]	446	if dpi is None:
	447	dpi =150
[1025]	448	self.figure.savefig(fname,dpi=dpi)
[705]	449	print 'Written file %s' % (fname)
[1019]	450	except IOError, msg:
	451	print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
	452	return
	453	else:
	454	print "Invalid image type. Valid types are:"
	455	print "'ps', 'eps', 'png'"
[705]	456
	457
	458	def set_axes(self, what=None, args, *kwargs):
[1019]	459	"""
	460	Set attributes for the axes by calling the relevant Axes.set_*()
	461	method. Colour translation is done as described in the doctext
	462	for palette().
	463	"""
[705]	464
[1019]	465	if what is None: return
	466	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	467
[1153]	468	key = "colour"
	469	if kwargs.has_key(key):
	470	val = kwargs.pop(key)
	471	kwargs["color"] = val
[705]	472
[1153]	473	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	474
[1153]	475	self.show(hardrefresh=False)
[705]	476
[1019]	477
[705]	478	def set_figure(self, what=None, args, *kwargs):
[1019]	479	"""
	480	Set attributes for the figure by calling the relevant Figure.set_*()
	481	method. Colour translation is done as described in the doctext
	482	for palette().
	483	"""
[705]	484
[1019]	485	if what is None: return
	486	if what[-6:] == 'colour': what = what[:-6] + 'color'
	487	#if what[-5:] == 'color' and len(args):
	488	# args = (get_colour(args[0]),)
[705]	489
[1019]	490	newargs = {}
	491	for k, v in kwargs.iteritems():
	492	k = k.lower()
	493	if k == 'colour': k = 'color'
	494	newargs[k] = v
[705]	495
[1019]	496	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	497	self.show(hardrefresh=False)
[705]	498
	499
	500	def set_limits(self, xlim=None, ylim=None):
[1019]	501	"""
	502	Set x-, and y-limits for each subplot.
[705]	503
[1019]	504	xlim = [xmin, xmax] as in axes.set_xlim().
	505	ylim = [ymin, ymax] as in axes.set_ylim().
	506	"""
	507	for s in self.subplots:
	508	self.axes = s['axes']
	509	self.lines = s['lines']
[705]	510	oldxlim = list(self.axes.get_xlim())
	511	oldylim = list(self.axes.get_ylim())
	512	if xlim is not None:
	513	for i in range(len(xlim)):
	514	if xlim[i] is not None:
	515	oldxlim[i] = xlim[i]
[1019]	516	if ylim is not None:
[705]	517	for i in range(len(ylim)):
	518	if ylim[i] is not None:
	519	oldylim[i] = ylim[i]
	520	self.axes.set_xlim(oldxlim)
	521	self.axes.set_ylim(oldylim)
	522	return
	523
	524
	525	def set_line(self, number=None, **kwargs):
[1019]	526	"""
	527	Set attributes for the specified line, or else the next line(s)
	528	to be plotted.
[705]	529
[1019]	530	number is the 0-relative number of a line that has already been
	531	plotted. If no such line exists, attributes are recorded and used
	532	for the next line(s) to be plotted.
[705]	533
[1019]	534	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	535
[1019]	536	import matplotlib
	537	help(matplotlib.lines)
[705]	538
[1019]	539	The set_* methods of class Line2D define the attribute names and
	540	values. For non-US usage, "colour" is recognized as synonymous with
	541	"color".
[705]	542
[1019]	543	Set the value to None to delete an attribute.
[705]	544
[1019]	545	Colour translation is done as described in the doctext for palette().
	546	"""
[705]	547
[1019]	548	redraw = False
	549	for k, v in kwargs.iteritems():
	550	k = k.lower()
	551	if k == 'colour': k = 'color'
[705]	552
[1019]	553	if 0 <= number < len(self.lines):
	554	if self.lines[number] is not None:
	555	for line in self.lines[number]:
	556	getattr(line, "set_%s"%k)(v)
	557	redraw = True
	558	else:
	559	if v is None:
	560	del self.attributes[k]
	561	else:
	562	self.attributes[k] = v
[705]	563
[1153]	564	if redraw: self.show(hardrefresh=False)
[705]	565
	566
	567	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[1019]	568	"""
	569	Set the panel layout.
[705]	570
[1019]	571	rows and cols, if cols != 0, specify the number of rows and columns in
	572	a regular layout. (Indexing of these panels in matplotlib is row-
	573	major, i.e. column varies fastest.)
[705]	574
[1019]	575	cols == 0 is interpreted as a retangular layout that accomodates
	576	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	577	rows == 2, cols == 3.
[705]	578
[1019]	579	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	580	the configuration specified by rows and cols to be added to the
	581	current figure as its next 0-relative panel number (i). This allows
	582	non-regular panel layouts to be constructed via multiple calls. Any
	583	other value of n clears the plot and produces a rectangular array of
	584	empty panels. The number of these may be limited by nplots.
	585	"""
	586	if n < 0 and len(self.subplots):
	587	self.figure.clear()
	588	self.set_title()
[705]	589
[1019]	590	if rows < 1: rows = 1
[705]	591
[1019]	592	if cols <= 0:
	593	i = int(sqrt(rows))
	594	if i*i < rows: i += 1
	595	cols = i
[705]	596
[1019]	597	if i*(i-1) >= rows: i -= 1
	598	rows = i
[705]	599
[1019]	600	if 0 <= n < rows*cols:
	601	i = len(self.subplots)
	602	self.subplots.append({})
[705]	603
[1019]	604	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	605	cols, n+1)
	606	self.subplots[i]['lines'] = []
[705]	607
[1019]	608	if i == 0: self.subplot(0)
[705]	609
[1019]	610	self.rows = 0
	611	self.cols = 0
[705]	612
[1019]	613	else:
	614	self.subplots = []
[705]	615
[1019]	616	if nplots < 1 or rows*cols < nplots:
	617	nplots = rows*cols
[1025]	618	if ganged:
	619	hsp,wsp = None,None
	620	if rows > 1: hsp = 0.0001
	621	if cols > 1: wsp = 0.0001
	622	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	623	for i in range(nplots):
	624	self.subplots.append({})
[1153]	625	self.subplots[i]['lines'] = []
	626	if not ganged:
	627	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	628	cols, i+1)
[1513]	629	if asaprcParams['plotter.xaxisformatting'] == 'mpl':
	630	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	631	else:
	632	if i == 0:
	633	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	634	cols, i+1)
[1513]	635	if asaprcParams['plotter.xaxisformatting'] != 'mpl':
	636
	637	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	638	else:
	639	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	640	cols, i+1,
	641	sharex=self.subplots[0]['axes'],
	642	sharey=self.subplots[0]['axes'])
[1259]	643
[705]	644	# Suppress tick labelling for interior subplots.
	645	if i <= (rows-1)*cols - 1:
	646	if i+cols < nplots:
	647	# Suppress x-labels for frames width
	648	# adjacent frames
[1153]	649	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	650	tick.label1On = False
[1019]	651	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	652	if i%cols:
	653	# Suppress y-labels for frames not in the left column.
	654	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	655	tick.label1On = False
	656	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	657	# disable the first tick of [1:ncol-1] of the last row
[1153]	658	#if i+1 < nplots:
	659	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	660	self.rows = rows
	661	self.cols = cols
	662	self.subplot(0)
[705]	663
[1153]	664	def tidy(self):
	665	# this needs to be exceuted after the first "refresh"
	666	nplots = len(self.subplots)
	667	if nplots == 1: return
	668	for i in xrange(nplots):
	669	ax = self.subplots[i]['axes']
	670	if i%self.cols:
	671	ax.xaxis.majorTicks[0].label1On = False
	672	else:
	673	if i != 0:
	674	ax.yaxis.majorTicks[-1].label1On = False
	675
	676
[705]	677	def set_title(self, title=None):
[1019]	678	"""
	679	Set the title of the plot window. Use the previous title if title is
	680	omitted.
	681	"""
	682	if title is not None:
	683	self.title = title
[705]	684
[1019]	685	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	686
	687
[1153]	688	def show(self, hardrefresh=True):
[1019]	689	"""
	690	Show graphics dependent on the current buffering state.
	691	"""
[1153]	692	if not hardrefresh: return
[1019]	693	if not self.buffering:
	694	if self.loc is not None:
[1086]	695	for sp in self.subplots:
[1019]	696	lines = []
	697	labels = []
	698	i = 0
[1086]	699	for line in sp['lines']:
[1019]	700	i += 1
	701	if line is not None:
	702	lines.append(line[0])
	703	lbl = line[0].get_label()
	704	if lbl == '':
	705	lbl = str(i)
	706	labels.append(lbl)
[705]	707
[1019]	708	if len(lines):
[1147]	709	fp = FP(size=rcParams['legend.fontsize'])
	710	fsz = fp.get_size_in_points() - len(lines)
	711	fp.set_size(max(fsz,6))
[1086]	712	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	713	self.loc, prop=fp)
[1019]	714	else:
[1086]	715	sp['axes'].legend((' '))
[705]	716
[1086]	717	from matplotlib.artist import setp
[1147]	718	fp = FP(size=rcParams['xtick.labelsize'])
	719	xts = fp.get_size_in_points()- (self.cols)/2
	720	fp = FP(size=rcParams['ytick.labelsize'])
	721	yts = fp.get_size_in_points() - (self.rows)/2
[1086]	722	for sp in self.subplots:
	723	ax = sp['axes']
	724	s = ax.title.get_size()
	725	tsize = s-(self.cols+self.rows)
	726	ax.title.set_size(tsize)
[1147]	727	fp = FP(size=rcParams['axes.labelsize'])
[1086]	728	setp(ax.get_xticklabels(), fontsize=xts)
	729	setp(ax.get_yticklabels(), fontsize=yts)
[1147]	730	origx = fp.get_size_in_points()
	731	origy = origx
[1086]	732	off = 0
	733	if self.cols > 1: off = self.cols
	734	xfsize = origx-off
	735	ax.xaxis.label.set_size(xfsize)
	736	off = 0
	737	if self.rows > 1: off = self.rows
	738	yfsize = origy-off
	739	ax.yaxis.label.set_size(yfsize)
[705]	740
	741	def subplot(self, i=None, inc=None):
[1019]	742	"""
	743	Set the subplot to the 0-relative panel number as defined by one or
	744	more invokations of set_panels().
	745	"""
	746	l = len(self.subplots)
	747	if l:
	748	if i is not None:
	749	self.i = i
[705]	750
[1019]	751	if inc is not None:
	752	self.i += inc
[705]	753
[1019]	754	self.i %= l
	755	self.axes = self.subplots[self.i]['axes']
	756	self.lines = self.subplots[self.i]['lines']
[705]	757
	758	def text(self, args, *kwargs):
[1019]	759	"""
	760	Add text to the figure.
	761	"""
	762	self.figure.text(args, *kwargs)
	763	self.show()
[1147]	764
	765	def vline_with_label(self, x, y, label,
	766	location='bottom', rotate=0.0, **kwargs):
	767	"""
	768	Plot a vertical line with label.
	769	It takes "world" values fo x and y.
	770	"""
	771	ax = self.axes
	772	# need this to suppress autoscaling during this function
	773	self.axes.set_autoscale_on(False)
	774	ymin = 0.0
	775	ymax = 1.0
	776	valign = 'center'
	777	if location.lower() == 'top':
	778	y = max(0.0, y)
	779	elif location.lower() == 'bottom':
	780	y = min(0.0, y)
	781	lbloffset = 0.06
	782	# a rough estimate for the bb of the text
	783	if rotate > 0.0: lbloffset = 0.03*len(label)
	784	peakoffset = 0.01
[1535]	785	xy = None
	786	xy0 = None
	787	# matplotlib api change 0.98 is using transform now
	788	if hasattr(ax.transData, "inverse_xy_tup"):
	789	# get relative coords
	790	xy0 = ax.transData.xy_tup((x,y))
	791	xy = ax.transAxes.inverse_xy_tup(xy0)
	792	else:
	793	xy0 = ax.transData.transform((x,y))
	794	# get relative coords
	795	xy = ax.transAxes.inverted().transform(xy0)
[1147]	796	if location.lower() == 'top':
	797	ymax = 1.0-lbloffset
	798	ymin = xy[1]+peakoffset
	799	valign = 'bottom'
	800	ylbl = ymax+0.01
	801	elif location.lower() == 'bottom':
	802	ymin = lbloffset
	803	ymax = xy[1]-peakoffset
	804	valign = 'top'
	805	ylbl = ymin-0.01
[1425]	806	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	807	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	808	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	809	horizontalalignment='center',
	810	rotation=rotate,transform = trans)
	811	self.axes.set_autoscale_on(True)

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source: tags/asap2.3.1/python/asaplotbase.py@ 2013

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