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asaplotbase.py@ 1711

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Last change on this file since 1711 was 1676, checked in by Takeshi Nakazato, 15 years ago

New Development: No

JIRA Issue: Yes CAS-1920

Ready to Release: Yes

Interface Changes: No

What Interface Changed: Please list interface changes

Test Programs: List test programs

Put in Release Notes: Yes/No

Module(s): Module Names change impacts.

Description: Describe your changes here...

Bug fix.
The object that the except block catches either Exception object or string.
Thus, .message attribute, which is proper for Exception object, should not
use. I have replaced .message attribute with str() function.

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
[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):
[1620]	300	self.rect = {'x': event.x, 'y': event.y,
[1019]	301	'world': [event.xdata, event.ydata,
	302	event.xdata, event.ydata]}
	303	self.register('button_press', None)
	304	self.register('motion_notify', region_draw)
	305	self.register('button_release', region_disable)
[705]	306
[1019]	307	def region_draw(event):
[1620]	308	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	309	self.rect['x'], self.rect['y'])
	310
[1019]	311	def region_disable(event):
	312	self.register('motion_notify', None)
	313	self.register('button_release', None)
[705]	314
[1019]	315	self.rect['world'][2:4] = [event.xdata, event.ydata]
	316	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	317	self.rect['world'][1], self.rect['world'][2],
	318	self.rect['world'][3])
[1620]	319	self.figmgr.toolbar.release(event)
[705]	320
[1019]	321	self.register('button_press', region_start)
[705]	322
[1019]	323	# This has to be modified to block and return the result (currently
	324	# printed by region_disable) when that becomes possible in matplotlib.
[705]	325
[1019]	326	return [0.0, 0.0, 0.0, 0.0]
[705]	327
	328
	329	def register(self, type=None, func=None):
[1019]	330	"""
	331	Register, reregister, or deregister events of type 'button_press',
	332	'button_release', or 'motion_notify'.
[705]	333
[1019]	334	The specified callback function should have the following signature:
[705]	335
[1019]	336	def func(event)
[705]	337
[1019]	338	where event is an MplEvent instance containing the following data:
[705]	339
[1019]	340	name # Event name.
	341	canvas # FigureCanvas instance generating the event.
	342	x = None # x position - pixels from left of canvas.
	343	y = None # y position - pixels from bottom of canvas.
	344	button = None # Button pressed: None, 1, 2, 3.
	345	key = None # Key pressed: None, chr(range(255)), shift,
	346	win, or control
	347	inaxes = None # Axes instance if cursor within axes.
	348	xdata = None # x world coordinate.
	349	ydata = None # y world coordinate.
[705]	350
[1019]	351	For example:
[705]	352
[1019]	353	def mouse_move(event):
	354	print event.xdata, event.ydata
[705]	355
[1019]	356	a = asaplot()
	357	a.register('motion_notify', mouse_move)
[705]	358
[1019]	359	If func is None, the event is deregistered.
[705]	360
[1019]	361	Note that in TkAgg keyboard button presses don't generate an event.
	362	"""
[705]	363
[1019]	364	if not self.events.has_key(type): return
[705]	365
[1019]	366	if func is None:
	367	if self.events[type] is not None:
	368	# It's not clear that this does anything.
	369	self.canvas.mpl_disconnect(self.events[type])
	370	self.events[type] = None
[705]	371
[1019]	372	# It seems to be necessary to return events to the toolbar.
	373	if type == 'motion_notify':
	374	self.canvas.mpl_connect(type + '_event',
	375	self.figmgr.toolbar.mouse_move)
	376	elif type == 'button_press':
	377	self.canvas.mpl_connect(type + '_event',
	378	self.figmgr.toolbar.press)
	379	elif type == 'button_release':
	380	self.canvas.mpl_connect(type + '_event',
	381	self.figmgr.toolbar.release)
[705]	382
[1019]	383	else:
	384	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	385
	386
	387	def release(self):
[1019]	388	"""
	389	Release buffered graphics.
	390	"""
	391	self.buffering = False
	392	self.show()
[705]	393
	394
[1095]	395	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	396	"""
	397	Save the plot to a file.
[705]	398
[1019]	399	fname is the name of the output file. The image format is determined
	400	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	401	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	402	directory.
	403	"""
[1095]	404	from asap import rcParams
	405	if papertype is None:
	406	papertype = rcParams['plotter.papertype']
[1019]	407	if fname is None:
	408	from datetime import datetime
	409	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	410	fname = 'asap'+dstr+'.png'
[705]	411
[1019]	412	d = ['png','.ps','eps']
[705]	413
[1019]	414	from os.path import expandvars
	415	fname = expandvars(fname)
[705]	416
[1019]	417	if fname[-3:].lower() in d:
	418	try:
[705]	419	if fname[-3:].lower() == ".ps":
[1020]	420	from matplotlib import __version__ as mv
[1603]	421	w = self.figure.get_figwidth()
	422	h = self.figure.get_figheight()
[1019]	423
[705]	424	if orientation is None:
[1147]	425	# oriented
[705]	426	if w > h:
	427	orientation = 'landscape'
	428	else:
	429	orientation = 'portrait'
[1095]	430	from matplotlib.backends.backend_ps import papersize
	431	pw,ph = papersize[papertype.lower()]
[1025]	432	ds = None
	433	if orientation == 'landscape':
[1095]	434	ds = min(ph/w, pw/h)
[1025]	435	else:
[1095]	436	ds = min(pw/w, ph/h)
[1025]	437	ow = ds * w
	438	oh = ds * h
[1603]	439	self.figure.set_size_inches((ow, oh))
[1095]	440	self.figure.savefig(fname, orientation=orientation,
	441	papertype=papertype.lower())
[1603]	442	self.figure.set_size_inches((w, h))
[705]	443	print 'Written file %s' % (fname)
[1019]	444	else:
[705]	445	if dpi is None:
	446	dpi =150
[1025]	447	self.figure.savefig(fname,dpi=dpi)
[705]	448	print 'Written file %s' % (fname)
[1019]	449	except IOError, msg:
[1612]	450	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1614]	451	print_log()
[1676]	452	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1614]	453	print_log( 'ERROR' )
[1019]	454	return
	455	else:
[1612]	456	#print "Invalid image type. Valid types are:"
	457	#print "'ps', 'eps', 'png'"
[1614]	458	asaplog.push( "Invalid image type. Valid types are:" )
	459	asaplog.push( "'ps', 'eps', 'png'" )
	460	print_log('WARN')
[705]	461
	462
	463	def set_axes(self, what=None, args, *kwargs):
[1019]	464	"""
	465	Set attributes for the axes by calling the relevant Axes.set_*()
	466	method. Colour translation is done as described in the doctext
	467	for palette().
	468	"""
[705]	469
[1019]	470	if what is None: return
	471	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	472
[1153]	473	key = "colour"
	474	if kwargs.has_key(key):
	475	val = kwargs.pop(key)
	476	kwargs["color"] = val
[705]	477
[1153]	478	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	479
[1153]	480	self.show(hardrefresh=False)
[705]	481
[1019]	482
[705]	483	def set_figure(self, what=None, args, *kwargs):
[1019]	484	"""
	485	Set attributes for the figure by calling the relevant Figure.set_*()
	486	method. Colour translation is done as described in the doctext
	487	for palette().
	488	"""
[705]	489
[1019]	490	if what is None: return
	491	if what[-6:] == 'colour': what = what[:-6] + 'color'
	492	#if what[-5:] == 'color' and len(args):
	493	# args = (get_colour(args[0]),)
[705]	494
[1019]	495	newargs = {}
	496	for k, v in kwargs.iteritems():
	497	k = k.lower()
	498	if k == 'colour': k = 'color'
	499	newargs[k] = v
[705]	500
[1019]	501	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	502	self.show(hardrefresh=False)
[705]	503
	504
	505	def set_limits(self, xlim=None, ylim=None):
[1019]	506	"""
	507	Set x-, and y-limits for each subplot.
[705]	508
[1019]	509	xlim = [xmin, xmax] as in axes.set_xlim().
	510	ylim = [ymin, ymax] as in axes.set_ylim().
	511	"""
	512	for s in self.subplots:
	513	self.axes = s['axes']
	514	self.lines = s['lines']
[705]	515	oldxlim = list(self.axes.get_xlim())
	516	oldylim = list(self.axes.get_ylim())
	517	if xlim is not None:
	518	for i in range(len(xlim)):
	519	if xlim[i] is not None:
	520	oldxlim[i] = xlim[i]
[1019]	521	if ylim is not None:
[705]	522	for i in range(len(ylim)):
	523	if ylim[i] is not None:
	524	oldylim[i] = ylim[i]
	525	self.axes.set_xlim(oldxlim)
	526	self.axes.set_ylim(oldylim)
	527	return
	528
	529
	530	def set_line(self, number=None, **kwargs):
[1019]	531	"""
	532	Set attributes for the specified line, or else the next line(s)
	533	to be plotted.
[705]	534
[1019]	535	number is the 0-relative number of a line that has already been
	536	plotted. If no such line exists, attributes are recorded and used
	537	for the next line(s) to be plotted.
[705]	538
[1019]	539	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	540
[1019]	541	import matplotlib
	542	help(matplotlib.lines)
[705]	543
[1019]	544	The set_* methods of class Line2D define the attribute names and
	545	values. For non-US usage, "colour" is recognized as synonymous with
	546	"color".
[705]	547
[1019]	548	Set the value to None to delete an attribute.
[705]	549
[1019]	550	Colour translation is done as described in the doctext for palette().
	551	"""
[705]	552
[1019]	553	redraw = False
	554	for k, v in kwargs.iteritems():
	555	k = k.lower()
	556	if k == 'colour': k = 'color'
[705]	557
[1019]	558	if 0 <= number < len(self.lines):
	559	if self.lines[number] is not None:
	560	for line in self.lines[number]:
	561	getattr(line, "set_%s"%k)(v)
	562	redraw = True
	563	else:
	564	if v is None:
	565	del self.attributes[k]
	566	else:
	567	self.attributes[k] = v
[705]	568
[1153]	569	if redraw: self.show(hardrefresh=False)
[705]	570
	571
	572	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[1019]	573	"""
	574	Set the panel layout.
[705]	575
[1019]	576	rows and cols, if cols != 0, specify the number of rows and columns in
	577	a regular layout. (Indexing of these panels in matplotlib is row-
	578	major, i.e. column varies fastest.)
[705]	579
[1019]	580	cols == 0 is interpreted as a retangular layout that accomodates
	581	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	582	rows == 2, cols == 3.
[705]	583
[1019]	584	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	585	the configuration specified by rows and cols to be added to the
	586	current figure as its next 0-relative panel number (i). This allows
	587	non-regular panel layouts to be constructed via multiple calls. Any
	588	other value of n clears the plot and produces a rectangular array of
	589	empty panels. The number of these may be limited by nplots.
	590	"""
	591	if n < 0 and len(self.subplots):
	592	self.figure.clear()
	593	self.set_title()
[705]	594
[1019]	595	if rows < 1: rows = 1
[705]	596
[1019]	597	if cols <= 0:
	598	i = int(sqrt(rows))
	599	if i*i < rows: i += 1
	600	cols = i
[705]	601
[1019]	602	if i*(i-1) >= rows: i -= 1
	603	rows = i
[705]	604
[1019]	605	if 0 <= n < rows*cols:
	606	i = len(self.subplots)
	607	self.subplots.append({})
[705]	608
[1019]	609	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	610	cols, n+1)
	611	self.subplots[i]['lines'] = []
[705]	612
[1019]	613	if i == 0: self.subplot(0)
[705]	614
[1019]	615	self.rows = 0
	616	self.cols = 0
[705]	617
[1019]	618	else:
	619	self.subplots = []
[705]	620
[1019]	621	if nplots < 1 or rows*cols < nplots:
	622	nplots = rows*cols
[1025]	623	if ganged:
	624	hsp,wsp = None,None
	625	if rows > 1: hsp = 0.0001
	626	if cols > 1: wsp = 0.0001
	627	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	628	for i in range(nplots):
	629	self.subplots.append({})
[1153]	630	self.subplots[i]['lines'] = []
	631	if not ganged:
	632	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	633	cols, i+1)
[1603]	634	if asaprcParams['plotter.xaxisformatting'] == 'mpl':
	635	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	636	else:
	637	if i == 0:
	638	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	639	cols, i+1)
[1603]	640	if asaprcParams['plotter.xaxisformatting'] != 'mpl':
	641
	642	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	643	else:
	644	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	645	cols, i+1,
	646	sharex=self.subplots[0]['axes'],
	647	sharey=self.subplots[0]['axes'])
[1259]	648
[705]	649	# Suppress tick labelling for interior subplots.
	650	if i <= (rows-1)*cols - 1:
	651	if i+cols < nplots:
	652	# Suppress x-labels for frames width
	653	# adjacent frames
[1153]	654	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	655	tick.label1On = False
[1019]	656	self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	657	if i%cols:
	658	# Suppress y-labels for frames not in the left column.
	659	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	660	tick.label1On = False
	661	self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	662	# disable the first tick of [1:ncol-1] of the last row
[1153]	663	#if i+1 < nplots:
	664	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1019]	665	self.rows = rows
	666	self.cols = cols
	667	self.subplot(0)
[705]	668
[1153]	669	def tidy(self):
	670	# this needs to be exceuted after the first "refresh"
	671	nplots = len(self.subplots)
	672	if nplots == 1: return
	673	for i in xrange(nplots):
	674	ax = self.subplots[i]['axes']
	675	if i%self.cols:
	676	ax.xaxis.majorTicks[0].label1On = False
	677	else:
	678	if i != 0:
	679	ax.yaxis.majorTicks[-1].label1On = False
	680
	681
[705]	682	def set_title(self, title=None):
[1019]	683	"""
	684	Set the title of the plot window. Use the previous title if title is
	685	omitted.
	686	"""
	687	if title is not None:
	688	self.title = title
[705]	689
[1019]	690	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	691
	692
[1153]	693	def show(self, hardrefresh=True):
[1019]	694	"""
	695	Show graphics dependent on the current buffering state.
	696	"""
[1153]	697	if not hardrefresh: return
[1019]	698	if not self.buffering:
	699	if self.loc is not None:
[1086]	700	for sp in self.subplots:
[1019]	701	lines = []
	702	labels = []
	703	i = 0
[1086]	704	for line in sp['lines']:
[1019]	705	i += 1
	706	if line is not None:
	707	lines.append(line[0])
	708	lbl = line[0].get_label()
	709	if lbl == '':
	710	lbl = str(i)
	711	labels.append(lbl)
[705]	712
[1019]	713	if len(lines):
[1147]	714	fp = FP(size=rcParams['legend.fontsize'])
	715	fsz = fp.get_size_in_points() - len(lines)
	716	fp.set_size(max(fsz,6))
[1086]	717	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	718	self.loc, prop=fp)
[1019]	719	else:
[1086]	720	sp['axes'].legend((' '))
[705]	721
[1086]	722	from matplotlib.artist import setp
[1147]	723	fp = FP(size=rcParams['xtick.labelsize'])
	724	xts = fp.get_size_in_points()- (self.cols)/2
	725	fp = FP(size=rcParams['ytick.labelsize'])
	726	yts = fp.get_size_in_points() - (self.rows)/2
[1086]	727	for sp in self.subplots:
	728	ax = sp['axes']
[1603]	729	s = ax.title.get_size()
	730	tsize = s-(self.cols+self.rows)
	731	ax.title.set_size(tsize)
[1147]	732	fp = FP(size=rcParams['axes.labelsize'])
[1086]	733	setp(ax.get_xticklabels(), fontsize=xts)
	734	setp(ax.get_yticklabels(), fontsize=yts)
[1147]	735	origx = fp.get_size_in_points()
	736	origy = origx
[1086]	737	off = 0
	738	if self.cols > 1: off = self.cols
	739	xfsize = origx-off
	740	ax.xaxis.label.set_size(xfsize)
	741	off = 0
	742	if self.rows > 1: off = self.rows
	743	yfsize = origy-off
	744	ax.yaxis.label.set_size(yfsize)
[705]	745
	746	def subplot(self, i=None, inc=None):
[1019]	747	"""
	748	Set the subplot to the 0-relative panel number as defined by one or
	749	more invokations of set_panels().
	750	"""
	751	l = len(self.subplots)
	752	if l:
	753	if i is not None:
	754	self.i = i
[705]	755
[1019]	756	if inc is not None:
	757	self.i += inc
[705]	758
[1019]	759	self.i %= l
	760	self.axes = self.subplots[self.i]['axes']
	761	self.lines = self.subplots[self.i]['lines']
[705]	762
	763	def text(self, args, *kwargs):
[1019]	764	"""
	765	Add text to the figure.
	766	"""
	767	self.figure.text(args, *kwargs)
	768	self.show()
[1147]	769
	770	def vline_with_label(self, x, y, label,
	771	location='bottom', rotate=0.0, **kwargs):
	772	"""
	773	Plot a vertical line with label.
	774	It takes "world" values fo x and y.
	775	"""
	776	ax = self.axes
	777	# need this to suppress autoscaling during this function
	778	self.axes.set_autoscale_on(False)
	779	ymin = 0.0
	780	ymax = 1.0
	781	valign = 'center'
	782	if location.lower() == 'top':
	783	y = max(0.0, y)
	784	elif location.lower() == 'bottom':
	785	y = min(0.0, y)
	786	lbloffset = 0.06
	787	# a rough estimate for the bb of the text
	788	if rotate > 0.0: lbloffset = 0.03*len(label)
	789	peakoffset = 0.01
[1603]	790	xy = None
	791	xy0 = None
	792	# matplotlib api change 0.98 is using transform now
	793	if hasattr(ax.transData, "inverse_xy_tup"):
	794	# get relative coords
	795	xy0 = ax.transData.xy_tup((x,y))
	796	xy = ax.transAxes.inverse_xy_tup(xy0)
	797	else:
	798	xy0 = ax.transData.transform((x,y))
	799	# get relative coords
	800	xy = ax.transAxes.inverted().transform(xy0)
[1147]	801	if location.lower() == 'top':
	802	ymax = 1.0-lbloffset
	803	ymin = xy[1]+peakoffset
	804	valign = 'bottom'
	805	ylbl = ymax+0.01
	806	elif location.lower() == 'bottom':
	807	ymin = lbloffset
	808	ymax = xy[1]-peakoffset
	809	valign = 'top'
	810	ylbl = ymin-0.01
[1603]	811	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	812	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	813	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	814	horizontalalignment='center',
	815	rotation=rotate,transform = trans)
	816	self.axes.set_autoscale_on(True)

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source: branches/alma/python/asaplotbase.py@ 1711

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