Context Navigation

source: trunk/python/asaplotbase.py@ 1743

Visit:

Last change on this file since 1743 was 1739, checked in by Malte Marquarding, 15 years ago
Replace matplotlib.numerix with numpy
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
File size: 27.6 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
[1739]	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
[1425]	17	# API change in mpl >= 0.98
	18	try:
	19	from matplotlib.transforms import blended_transform_factory
	20	except ImportError:
[1560]	21	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1425]	22
[1095]	23	if int(matplotlib.__version__.split(".")[1]) < 87:
	24	print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1019]	25
[705]	26	class asaplotbase:
	27	"""
	28	ASAP plotting base class based on matplotlib.
	29	"""
	30
[1563]	31	def __init__(self, rows=1, cols=0, title='', size=None, buffering=False):
[1019]	32	"""
	33	Create a new instance of the ASAPlot plotting class.
[705]	34
[1019]	35	If rows < 1 then a separate call to set_panels() is required to define
	36	the panel layout; refer to the doctext for set_panels().
	37	"""
[705]	38	self.is_dead = False
[1019]	39	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	40	self.canvas = None
	41
[1019]	42	self.set_title(title)
	43	self.subplots = []
	44	if rows > 0:
	45	self.set_panels(rows, cols)
[705]	46
[710]	47	# Set matplotlib default colour sequence.
	48	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	49
[710]	50	c = asaprcParams['plotter.colours']
	51	if isinstance(c,str) and len(c) > 0:
	52	self.colormap = c.split()
	53
	54	self.lsalias = {"line": [1,0],
	55	"dashdot": [4,2,1,2],
	56	"dashed" : [4,2,4,2],
	57	"dotted" : [1,2],
	58	"dashdotdot": [4,2,1,2,1,2],
	59	"dashdashdot": [4,2,4,2,1,2]
	60	}
	61
	62	styles = "line dashed dotted dashdot".split()
	63	c = asaprcParams['plotter.linestyles']
	64	if isinstance(c,str) and len(c) > 0:
	65	styles = c.split()
	66	s = []
	67	for ls in styles:
	68	if self.lsalias.has_key(ls):
	69	s.append(self.lsalias.get(ls))
	70	else:
	71	s.append('-')
	72	self.linestyles = s
	73
[705]	74	self.color = 0;
[710]	75	self.linestyle = 0;
[1019]	76	self.attributes = {}
	77	self.loc = 0
[705]	78
[1019]	79	self.buffering = buffering
[705]	80
	81	def clear(self):
[1019]	82	"""
[1147]	83	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	84	"""
[705]	85
[1019]	86	for i in range(len(self.lines)):
	87	self.delete(i)
	88	self.axes.clear()
	89	self.color = 0
	90	self.lines = []
[705]	91
[710]	92	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	93	if colormap:
[710]	94	if isinstance(colormap,list):
	95	self.colormap = colormap
	96	elif isinstance(colormap,str):
	97	self.colormap = colormap.split()
[705]	98	if 0 <= color < len(self.colormap):
	99	self.color = color
[710]	100	if linestyles:
	101	self.linestyles = []
	102	if isinstance(linestyles,list):
	103	styles = linestyles
	104	elif isinstance(linestyles,str):
	105	styles = linestyles.split()
	106	for ls in styles:
	107	if self.lsalias.has_key(ls):
	108	self.linestyles.append(self.lsalias.get(ls))
	109	else:
	110	self.linestyles.append(self.lsalias.get('line'))
	111	if 0 <= linestyle < len(self.linestyles):
	112	self.linestyle = linestyle
[705]	113
	114	def delete(self, numbers=None):
[1019]	115	"""
	116	Delete the 0-relative line number, default is to delete the last.
	117	The remaining lines are NOT renumbered.
	118	"""
[705]	119
[1019]	120	if numbers is None: numbers = [len(self.lines)-1]
[705]	121
[1019]	122	if not hasattr(numbers, '__iter__'):
	123	numbers = [numbers]
[705]	124
[1019]	125	for number in numbers:
	126	if 0 <= number < len(self.lines):
	127	if self.lines[number] is not None:
	128	for line in self.lines[number]:
	129	line.set_linestyle('None')
	130	self.lines[number] = None
	131	self.show()
[705]	132
	133	def get_line(self):
[1019]	134	"""
	135	Get the current default line attributes.
	136	"""
	137	return self.attributes
[705]	138
	139
[1086]	140	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	141	"""
	142	Plot a histogram. N.B. the x values refer to the start of the
	143	histogram bin.
[705]	144
[1019]	145	fmt is the line style as in plot().
	146	"""
[1739]	147	from numpy import array
	148	from numpy.ma import MaskedArray
[1568]	149
[1019]	150	if x is None:
	151	if y is None: return
[1023]	152	x = range(len(y))
[705]	153
[1019]	154	if len(x) != len(y):
	155	return
	156	l2 = 2*len(x)
[1023]	157	x2 = range(l2)
[1086]	158	y2 = range(12)
[1023]	159	y2 = range(l2)
	160	m2 = range(l2)
[1553]	161	ymsk = None
	162	ydat = None
	163	if hasattr(y, "raw_mask"):
	164	# numpy < 1.1
	165	ymsk = y.raw_mask()
	166	ydat = y.raw_data()
	167	else:
	168	ymsk = y.mask
	169	ydat = y.data
	170
[1023]	171	for i in range(l2):
[1019]	172	x2[i] = x[i/2]
[1086]	173	m2[i] = ymsk[i/2]
[705]	174
[1023]	175	y2[0] = 0.0
[1019]	176	for i in range(1,l2):
[1086]	177	y2[i] = ydat[(i-1)/2]
[705]	178
[1086]	179	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	180
	181
	182	def hold(self, hold=True):
[1019]	183	"""
	184	Buffer graphics until subsequently released.
	185	"""
	186	self.buffering = hold
[705]	187
	188
	189	def legend(self, loc=None):
[1019]	190	"""
	191	Add a legend to the plot.
[705]	192
[1019]	193	Any other value for loc else disables the legend:
	194	1: upper right
	195	2: upper left
	196	3: lower left
	197	4: lower right
	198	5: right
	199	6: center left
	200	7: center right
	201	8: lower center
	202	9: upper center
	203	10: center
[705]	204
[1019]	205	"""
[1095]	206	if isinstance(loc, int):
[1098]	207	self.loc = None
	208	if 0 <= loc <= 10: self.loc = loc
[1095]	209	else:
	210	self.loc = None
	211	#self.show()
[705]	212
	213
[1086]	214	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	215	"""
	216	Plot the next line in the current frame using the current line
	217	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	218
[1019]	219	The argument list works a bit like the matlab plot() function.
	220	"""
	221	if x is None:
	222	if y is None: return
	223	x = range(len(y))
[705]	224
[1019]	225	elif y is None:
	226	y = x
	227	x = range(len(y))
[1086]	228	if fmt is None:
	229	line = self.axes.plot(x, y)
[1019]	230	else:
[1086]	231	line = self.axes.plot(x, y, fmt)
[705]	232
[1019]	233	# Add to an existing line?
[1086]	234	i = None
[1019]	235	if add is None or len(self.lines) < add < 0:
	236	# Don't add.
	237	self.lines.append(line)
	238	i = len(self.lines) - 1
	239	else:
	240	if add == 0: add = len(self.lines)
	241	i = add - 1
	242	self.lines[i].extend(line)
[705]	243
[1019]	244	# Set/reset attributes for the line.
	245	gotcolour = False
	246	for k, v in self.attributes.iteritems():
	247	if k == 'color': gotcolour = True
	248	for segment in self.lines[i]:
	249	getattr(segment, "set_%s"%k)(v)
[705]	250
[1019]	251	if not gotcolour and len(self.colormap):
	252	for segment in self.lines[i]:
	253	getattr(segment, "set_color")(self.colormap[self.color])
[710]	254	if len(self.colormap) == 1:
	255	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	256
[1019]	257	self.color += 1
	258	if self.color >= len(self.colormap):
	259	self.color = 0
[705]	260
[710]	261	if len(self.colormap) == 1:
	262	self.linestyle += 1
[1019]	263	if self.linestyle >= len(self.linestyles):
	264	self.linestyle = 0
[710]	265
[1019]	266	self.show()
[705]	267
	268
	269	def position(self):
[1019]	270	"""
	271	Use the mouse to get a position from a graph.
	272	"""
[705]	273
[1019]	274	def position_disable(event):
	275	self.register('button_press', None)
	276	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	277
[1019]	278	print 'Press any mouse button...'
	279	self.register('button_press', position_disable)
[705]	280
	281
[1546]	282	def get_region(self):
	283	pos = []
[1568]	284	print "Please select the bottom/left point"
[1546]	285	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	286	print "Please select the top/right point"
[1546]	287	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	288	return pos
	289
	290	def get_point(self):
[1568]	291	print "Please select the point"
[1553]	292	pt = self.figure.ginput(n=1, show_clicks=False)
	293	if pt:
	294	return pt[0]
	295	else:
	296	return None
[1546]	297
[705]	298	def region(self):
[1019]	299	"""
	300	Use the mouse to get a rectangular region from a plot.
[705]	301
[1019]	302	The return value is [x0, y0, x1, y1] in world coordinates.
	303	"""
[705]	304
[1019]	305	def region_start(event):
	306	height = self.canvas.figure.bbox.height()
	307	self.rect = {'fig': None, 'height': height,
	308	'x': event.x, 'y': height - event.y,
	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):
	316	self.canvas._tkcanvas.delete(self.rect['fig'])
	317	self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
	318	self.rect['x'], self.rect['y'],
	319	event.x, self.rect['height'] - event.y)
[705]	320
[1019]	321	def region_disable(event):
	322	self.register('motion_notify', None)
	323	self.register('button_release', None)
[705]	324
[1019]	325	self.canvas._tkcanvas.delete(self.rect['fig'])
[705]	326
[1019]	327	self.rect['world'][2:4] = [event.xdata, event.ydata]
	328	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	329	self.rect['world'][1], self.rect['world'][2],
	330	self.rect['world'][3])
[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
[1019]	383	# It seems to be necessary to return events to the toolbar.
	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
[1019]	423	d = ['png','.ps','eps']
[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:
[1568]	461	print 'Failed to save %s: Error msg was\n\n%s' % (fname, msg)
[1019]	462	return
	463	else:
	464	print "Invalid image type. Valid types are:"
	465	print "'ps', 'eps', 'png'"
[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)
[1560]	639	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	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)
[1560]	645	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1568]	646
[1513]	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
[1560]	727
[1086]	728	from matplotlib.artist import setp
[1560]	729	fpx = FP(size=rcParams['xtick.labelsize'])
	730	xts = fpx.get_size_in_points()- (self.cols)/2
	731	fpy = FP(size=rcParams['ytick.labelsize'])
	732	yts = fpy.get_size_in_points() - (self.rows)/2
	733	fpa = FP(size=rcParams['axes.labelsize'])
	734	fpat = FP(size=rcParams['axes.titlesize'])
	735	axsize = fpa.get_size_in_points()
	736	tsize = fpat.get_size_in_points()
[1086]	737	for sp in self.subplots:
	738	ax = sp['axes']
[1560]	739	off = 0
	740	if len(self.subplots) > 1:
	741	off = self.cols+self.rows
	742	ax.title.set_size(tsize-off)
[1086]	743	setp(ax.get_xticklabels(), fontsize=xts)
	744	setp(ax.get_yticklabels(), fontsize=yts)
	745	off = 0
[1560]	746	if self.cols > 1:
	747	off = self.cols
	748	ax.xaxis.label.set_size(axsize-off)
	749	if self.rows > 1:
	750	off = self.rows
	751	ax.yaxis.label.set_size(axsize-off)
[705]	752
	753	def subplot(self, i=None, inc=None):
[1019]	754	"""
	755	Set the subplot to the 0-relative panel number as defined by one or
	756	more invokations of set_panels().
	757	"""
	758	l = len(self.subplots)
	759	if l:
	760	if i is not None:
	761	self.i = i
[705]	762
[1019]	763	if inc is not None:
	764	self.i += inc
[705]	765
[1019]	766	self.i %= l
	767	self.axes = self.subplots[self.i]['axes']
	768	self.lines = self.subplots[self.i]['lines']
[705]	769
	770	def text(self, args, *kwargs):
[1019]	771	"""
	772	Add text to the figure.
	773	"""
	774	self.figure.text(args, *kwargs)
	775	self.show()
[1147]	776
	777	def vline_with_label(self, x, y, label,
	778	location='bottom', rotate=0.0, **kwargs):
	779	"""
	780	Plot a vertical line with label.
	781	It takes "world" values fo x and y.
	782	"""
	783	ax = self.axes
	784	# need this to suppress autoscaling during this function
	785	self.axes.set_autoscale_on(False)
	786	ymin = 0.0
	787	ymax = 1.0
	788	valign = 'center'
	789	if location.lower() == 'top':
	790	y = max(0.0, y)
	791	elif location.lower() == 'bottom':
	792	y = min(0.0, y)
	793	lbloffset = 0.06
	794	# a rough estimate for the bb of the text
	795	if rotate > 0.0: lbloffset = 0.03*len(label)
	796	peakoffset = 0.01
[1535]	797	xy = None
	798	xy0 = None
	799	# matplotlib api change 0.98 is using transform now
	800	if hasattr(ax.transData, "inverse_xy_tup"):
	801	# get relative coords
	802	xy0 = ax.transData.xy_tup((x,y))
	803	xy = ax.transAxes.inverse_xy_tup(xy0)
	804	else:
	805	xy0 = ax.transData.transform((x,y))
	806	# get relative coords
	807	xy = ax.transAxes.inverted().transform(xy0)
[1147]	808	if location.lower() == 'top':
	809	ymax = 1.0-lbloffset
	810	ymin = xy[1]+peakoffset
	811	valign = 'bottom'
	812	ylbl = ymax+0.01
	813	elif location.lower() == 'bottom':
	814	ymin = lbloffset
	815	ymax = xy[1]-peakoffset
	816	valign = 'top'
	817	ylbl = ymin-0.01
[1425]	818	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	819	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	820	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	821	horizontalalignment='center',
	822	rotation=rotate,transform = trans)
	823	self.axes.set_autoscale_on(True)

Note: See TracBrowser for help on using the repository browser.

Download in other formats: