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asaplotbase.py@ 1927

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Last change on this file since 1927 was 1926, checked in by Kana Sugimoto, 14 years ago

New Development: No

JIRA Issue: Yes (CAS-1808)

Ready for Test: Yes

Interface Changes: No

What Interface Changed:

Test Programs: sdplot unit test

Put in Release Notes: No

Module(s): ASAP plotter and sdplot

Description:

Disabled axes labels of interior subplots.

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

File size: 28.8 KB

Rev	Line
[705]	1	"""
	2	ASAP plotting class based on matplotlib.
	3	"""
	4
	5	import sys
	6	from re import match
	7	import matplotlib
	8
	9	from matplotlib.figure import Figure, Text
[1147]	10	from matplotlib.font_manager import FontProperties as FP
[1739]	11	from numpy import sqrt
[705]	12	from matplotlib import rc, rcParams
[1259]	13	from matplotlib.ticker import OldScalarFormatter
[1147]	14
[1826]	15	from asap.parameters import rcParams as asaprcParams
[1861]	16	from asap.logging import asaplog
[1826]	17
[1425]	18	# API change in mpl >= 0.98
	19	try:
	20	from matplotlib.transforms import blended_transform_factory
	21	except ImportError:
[1560]	22	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1425]	23
[1826]	24	if int(matplotlib.__version__.split(".")[1]) < 99:
[1819]	25	#print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1826]	26	asaplog.push( "matplotlib version < 0.99. This might cause errors. Please upgrade." )
[1861]	27	asaplog.post( 'WARN' )
[1019]	28
[705]	29	class asaplotbase:
	30	"""
	31	ASAP plotting base class based on matplotlib.
	32	"""
	33
[1563]	34	def __init__(self, rows=1, cols=0, title='', size=None, buffering=False):
[1019]	35	"""
	36	Create a new instance of the ASAPlot plotting class.
[705]	37
[1019]	38	If rows < 1 then a separate call to set_panels() is required to define
	39	the panel layout; refer to the doctext for set_panels().
	40	"""
[705]	41	self.is_dead = False
[1019]	42	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	43	self.canvas = None
	44
[1019]	45	self.set_title(title)
	46	self.subplots = []
	47	if rows > 0:
	48	self.set_panels(rows, cols)
[705]	49
[710]	50	# Set matplotlib default colour sequence.
	51	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	52
[710]	53	c = asaprcParams['plotter.colours']
	54	if isinstance(c,str) and len(c) > 0:
	55	self.colormap = c.split()
	56
	57	self.lsalias = {"line": [1,0],
	58	"dashdot": [4,2,1,2],
	59	"dashed" : [4,2,4,2],
	60	"dotted" : [1,2],
	61	"dashdotdot": [4,2,1,2,1,2],
	62	"dashdashdot": [4,2,4,2,1,2]
	63	}
	64
	65	styles = "line dashed dotted dashdot".split()
	66	c = asaprcParams['plotter.linestyles']
	67	if isinstance(c,str) and len(c) > 0:
	68	styles = c.split()
	69	s = []
	70	for ls in styles:
	71	if self.lsalias.has_key(ls):
	72	s.append(self.lsalias.get(ls))
	73	else:
	74	s.append('-')
	75	self.linestyles = s
	76
[705]	77	self.color = 0;
[710]	78	self.linestyle = 0;
[1019]	79	self.attributes = {}
	80	self.loc = 0
[705]	81
[1019]	82	self.buffering = buffering
[705]	83
	84	def clear(self):
[1019]	85	"""
[1147]	86	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	87	"""
[705]	88
[1019]	89	for i in range(len(self.lines)):
	90	self.delete(i)
	91	self.axes.clear()
	92	self.color = 0
	93	self.lines = []
[705]	94
[710]	95	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	96	if colormap:
[710]	97	if isinstance(colormap,list):
	98	self.colormap = colormap
	99	elif isinstance(colormap,str):
	100	self.colormap = colormap.split()
[705]	101	if 0 <= color < len(self.colormap):
	102	self.color = color
[710]	103	if linestyles:
	104	self.linestyles = []
	105	if isinstance(linestyles,list):
	106	styles = linestyles
	107	elif isinstance(linestyles,str):
	108	styles = linestyles.split()
	109	for ls in styles:
	110	if self.lsalias.has_key(ls):
	111	self.linestyles.append(self.lsalias.get(ls))
	112	else:
	113	self.linestyles.append(self.lsalias.get('line'))
	114	if 0 <= linestyle < len(self.linestyles):
	115	self.linestyle = linestyle
[705]	116
	117	def delete(self, numbers=None):
[1019]	118	"""
	119	Delete the 0-relative line number, default is to delete the last.
	120	The remaining lines are NOT renumbered.
	121	"""
[705]	122
[1019]	123	if numbers is None: numbers = [len(self.lines)-1]
[705]	124
[1019]	125	if not hasattr(numbers, '__iter__'):
	126	numbers = [numbers]
[705]	127
[1019]	128	for number in numbers:
	129	if 0 <= number < len(self.lines):
	130	if self.lines[number] is not None:
	131	for line in self.lines[number]:
	132	line.set_linestyle('None')
	133	self.lines[number] = None
	134	self.show()
[705]	135
	136	def get_line(self):
[1019]	137	"""
	138	Get the current default line attributes.
	139	"""
	140	return self.attributes
[705]	141
	142
[1086]	143	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	144	"""
	145	Plot a histogram. N.B. the x values refer to the start of the
	146	histogram bin.
[705]	147
[1019]	148	fmt is the line style as in plot().
	149	"""
[1739]	150	from numpy import array
	151	from numpy.ma import MaskedArray
[1019]	152	if x is None:
	153	if y is None: return
[1023]	154	x = range(len(y))
[705]	155
[1019]	156	if len(x) != len(y):
	157	return
	158	l2 = 2*len(x)
[1023]	159	x2 = range(l2)
[1086]	160	y2 = range(12)
[1023]	161	y2 = range(l2)
	162	m2 = range(l2)
[1553]	163	ymsk = None
	164	ydat = None
	165	if hasattr(y, "raw_mask"):
	166	# numpy < 1.1
	167	ymsk = y.raw_mask()
	168	ydat = y.raw_data()
	169	else:
	170	ymsk = y.mask
	171	ydat = y.data
[1023]	172	for i in range(l2):
[1019]	173	x2[i] = x[i/2]
[1086]	174	m2[i] = ymsk[i/2]
[705]	175
[1023]	176	y2[0] = 0.0
[1019]	177	for i in range(1,l2):
[1086]	178	y2[i] = ydat[(i-1)/2]
[705]	179
[1086]	180	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	181
	182
	183	def hold(self, hold=True):
[1019]	184	"""
	185	Buffer graphics until subsequently released.
	186	"""
	187	self.buffering = hold
[705]	188
	189
	190	def legend(self, loc=None):
[1019]	191	"""
	192	Add a legend to the plot.
[705]	193
[1019]	194	Any other value for loc else disables the legend:
	195	1: upper right
	196	2: upper left
	197	3: lower left
	198	4: lower right
	199	5: right
	200	6: center left
	201	7: center right
	202	8: lower center
	203	9: upper center
	204	10: center
[705]	205
[1019]	206	"""
[1095]	207	if isinstance(loc, int):
[1098]	208	self.loc = None
	209	if 0 <= loc <= 10: self.loc = loc
[1095]	210	else:
	211	self.loc = None
	212	#self.show()
[705]	213
	214
[1086]	215	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	216	"""
	217	Plot the next line in the current frame using the current line
	218	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	219
[1019]	220	The argument list works a bit like the matlab plot() function.
	221	"""
	222	if x is None:
	223	if y is None: return
	224	x = range(len(y))
[705]	225
[1019]	226	elif y is None:
	227	y = x
	228	x = range(len(y))
[1086]	229	if fmt is None:
	230	line = self.axes.plot(x, y)
[1019]	231	else:
[1086]	232	line = self.axes.plot(x, y, fmt)
[705]	233
[1019]	234	# Add to an existing line?
[1086]	235	i = None
[1019]	236	if add is None or len(self.lines) < add < 0:
	237	# Don't add.
	238	self.lines.append(line)
	239	i = len(self.lines) - 1
	240	else:
	241	if add == 0: add = len(self.lines)
	242	i = add - 1
	243	self.lines[i].extend(line)
[705]	244
[1019]	245	# Set/reset attributes for the line.
	246	gotcolour = False
	247	for k, v in self.attributes.iteritems():
	248	if k == 'color': gotcolour = True
	249	for segment in self.lines[i]:
	250	getattr(segment, "set_%s"%k)(v)
[705]	251
[1019]	252	if not gotcolour and len(self.colormap):
	253	for segment in self.lines[i]:
	254	getattr(segment, "set_color")(self.colormap[self.color])
[710]	255	if len(self.colormap) == 1:
	256	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	257
[1019]	258	self.color += 1
	259	if self.color >= len(self.colormap):
	260	self.color = 0
[705]	261
[710]	262	if len(self.colormap) == 1:
	263	self.linestyle += 1
[1019]	264	if self.linestyle >= len(self.linestyles):
	265	self.linestyle = 0
[710]	266
[1019]	267	self.show()
[705]	268
	269
	270	def position(self):
[1019]	271	"""
	272	Use the mouse to get a position from a graph.
	273	"""
[705]	274
[1019]	275	def position_disable(event):
	276	self.register('button_press', None)
	277	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	278
[1019]	279	print 'Press any mouse button...'
	280	self.register('button_press', position_disable)
[705]	281
	282
[1546]	283	def get_region(self):
	284	pos = []
[1568]	285	print "Please select the bottom/left point"
[1546]	286	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	287	print "Please select the top/right point"
[1546]	288	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	289	return pos
	290
	291	def get_point(self):
[1568]	292	print "Please select the point"
[1553]	293	pt = self.figure.ginput(n=1, show_clicks=False)
	294	if pt:
	295	return pt[0]
	296	else:
	297	return None
[1546]	298
[705]	299	def region(self):
[1019]	300	"""
	301	Use the mouse to get a rectangular region from a plot.
[705]	302
[1019]	303	The return value is [x0, y0, x1, y1] in world coordinates.
	304	"""
[705]	305
[1019]	306	def region_start(event):
[1819]	307	self.rect = {'x': event.x, 'y': event.y,
[1019]	308	'world': [event.xdata, event.ydata,
	309	event.xdata, event.ydata]}
	310	self.register('button_press', None)
	311	self.register('motion_notify', region_draw)
	312	self.register('button_release', region_disable)
[705]	313
[1019]	314	def region_draw(event):
[1819]	315	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	316	self.rect['x'], self.rect['y'])
[1826]	317
[1019]	318	def region_disable(event):
	319	self.register('motion_notify', None)
	320	self.register('button_release', None)
[705]	321
[1019]	322	self.rect['world'][2:4] = [event.xdata, event.ydata]
	323	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	324	self.rect['world'][1], self.rect['world'][2],
	325	self.rect['world'][3])
[1819]	326	self.figmgr.toolbar.release(event)
[705]	327
[1019]	328	self.register('button_press', region_start)
[705]	329
[1019]	330	# This has to be modified to block and return the result (currently
	331	# printed by region_disable) when that becomes possible in matplotlib.
[705]	332
[1019]	333	return [0.0, 0.0, 0.0, 0.0]
[705]	334
	335
	336	def register(self, type=None, func=None):
[1019]	337	"""
	338	Register, reregister, or deregister events of type 'button_press',
	339	'button_release', or 'motion_notify'.
[705]	340
[1019]	341	The specified callback function should have the following signature:
[705]	342
[1019]	343	def func(event)
[705]	344
[1019]	345	where event is an MplEvent instance containing the following data:
[705]	346
[1019]	347	name # Event name.
	348	canvas # FigureCanvas instance generating the event.
	349	x = None # x position - pixels from left of canvas.
	350	y = None # y position - pixels from bottom of canvas.
	351	button = None # Button pressed: None, 1, 2, 3.
	352	key = None # Key pressed: None, chr(range(255)), shift,
	353	win, or control
	354	inaxes = None # Axes instance if cursor within axes.
	355	xdata = None # x world coordinate.
	356	ydata = None # y world coordinate.
[705]	357
[1019]	358	For example:
[705]	359
[1019]	360	def mouse_move(event):
	361	print event.xdata, event.ydata
[705]	362
[1019]	363	a = asaplot()
	364	a.register('motion_notify', mouse_move)
[705]	365
[1019]	366	If func is None, the event is deregistered.
[705]	367
[1019]	368	Note that in TkAgg keyboard button presses don't generate an event.
	369	"""
[705]	370
[1019]	371	if not self.events.has_key(type): return
[705]	372
[1019]	373	if func is None:
	374	if self.events[type] is not None:
	375	# It's not clear that this does anything.
	376	self.canvas.mpl_disconnect(self.events[type])
	377	self.events[type] = None
[705]	378
[1819]	379	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	380	#if type == 'motion_notify':
	381	# self.canvas.mpl_connect(type + '_event',
	382	# self.figmgr.toolbar.mouse_move)
	383	#elif type == 'button_press':
	384	# self.canvas.mpl_connect(type + '_event',
	385	# self.figmgr.toolbar.press)
	386	#elif type == 'button_release':
	387	# self.canvas.mpl_connect(type + '_event',
	388	# self.figmgr.toolbar.release)
[705]	389
[1019]	390	else:
	391	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	392
	393
	394	def release(self):
[1019]	395	"""
	396	Release buffered graphics.
	397	"""
	398	self.buffering = False
	399	self.show()
[705]	400
	401
[1095]	402	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	403	"""
	404	Save the plot to a file.
[705]	405
[1019]	406	fname is the name of the output file. The image format is determined
	407	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	408	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	409	directory.
	410	"""
[1095]	411	from asap import rcParams
	412	if papertype is None:
	413	papertype = rcParams['plotter.papertype']
[1019]	414	if fname is None:
	415	from datetime import datetime
	416	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	417	fname = 'asap'+dstr+'.png'
[705]	418
[1870]	419	d = ['png','.ps','eps', 'svg']
[705]	420
[1019]	421	from os.path import expandvars
	422	fname = expandvars(fname)
[705]	423
[1019]	424	if fname[-3:].lower() in d:
	425	try:
[705]	426	if fname[-3:].lower() == ".ps":
[1020]	427	from matplotlib import __version__ as mv
[1479]	428	w = self.figure.get_figwidth()
	429	h = self.figure.get_figheight()
[1019]	430
[705]	431	if orientation is None:
[1147]	432	# oriented
[705]	433	if w > h:
	434	orientation = 'landscape'
	435	else:
	436	orientation = 'portrait'
[1095]	437	from matplotlib.backends.backend_ps import papersize
	438	pw,ph = papersize[papertype.lower()]
[1025]	439	ds = None
	440	if orientation == 'landscape':
[1095]	441	ds = min(ph/w, pw/h)
[1025]	442	else:
[1095]	443	ds = min(pw/w, ph/h)
[1025]	444	ow = ds * w
	445	oh = ds * h
[1479]	446	self.figure.set_size_inches((ow, oh))
[1095]	447	self.figure.savefig(fname, orientation=orientation,
	448	papertype=papertype.lower())
[1479]	449	self.figure.set_size_inches((w, h))
[705]	450	print 'Written file %s' % (fname)
[1019]	451	else:
[705]	452	if dpi is None:
	453	dpi =150
[1025]	454	self.figure.savefig(fname,dpi=dpi)
[705]	455	print 'Written file %s' % (fname)
[1019]	456	except IOError, msg:
[1819]	457	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1861]	458	asaplog.post()
[1819]	459	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1861]	460	asaplog.post( 'ERROR' )
[1019]	461	return
	462	else:
[1819]	463	#print "Invalid image type. Valid types are:"
	464	#print "'ps', 'eps', 'png'"
	465	asaplog.push( "Invalid image type. Valid types are:" )
[1870]	466	asaplog.push( "'ps', 'eps', 'png', 'svg'" )
[1861]	467	asaplog.post('WARN')
[705]	468
	469
	470	def set_axes(self, what=None, args, *kwargs):
[1019]	471	"""
	472	Set attributes for the axes by calling the relevant Axes.set_*()
	473	method. Colour translation is done as described in the doctext
	474	for palette().
	475	"""
[705]	476
[1019]	477	if what is None: return
	478	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	479
[1153]	480	key = "colour"
	481	if kwargs.has_key(key):
	482	val = kwargs.pop(key)
	483	kwargs["color"] = val
[705]	484
[1153]	485	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	486
[1153]	487	self.show(hardrefresh=False)
[705]	488
[1019]	489
[705]	490	def set_figure(self, what=None, args, *kwargs):
[1019]	491	"""
	492	Set attributes for the figure by calling the relevant Figure.set_*()
	493	method. Colour translation is done as described in the doctext
	494	for palette().
	495	"""
[705]	496
[1019]	497	if what is None: return
	498	if what[-6:] == 'colour': what = what[:-6] + 'color'
	499	#if what[-5:] == 'color' and len(args):
	500	# args = (get_colour(args[0]),)
[705]	501
[1019]	502	newargs = {}
	503	for k, v in kwargs.iteritems():
	504	k = k.lower()
	505	if k == 'colour': k = 'color'
	506	newargs[k] = v
[705]	507
[1019]	508	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	509	self.show(hardrefresh=False)
[705]	510
	511
	512	def set_limits(self, xlim=None, ylim=None):
[1019]	513	"""
	514	Set x-, and y-limits for each subplot.
[705]	515
[1019]	516	xlim = [xmin, xmax] as in axes.set_xlim().
	517	ylim = [ymin, ymax] as in axes.set_ylim().
	518	"""
	519	for s in self.subplots:
	520	self.axes = s['axes']
	521	self.lines = s['lines']
[705]	522	oldxlim = list(self.axes.get_xlim())
	523	oldylim = list(self.axes.get_ylim())
	524	if xlim is not None:
	525	for i in range(len(xlim)):
	526	if xlim[i] is not None:
	527	oldxlim[i] = xlim[i]
[1019]	528	if ylim is not None:
[705]	529	for i in range(len(ylim)):
	530	if ylim[i] is not None:
	531	oldylim[i] = ylim[i]
	532	self.axes.set_xlim(oldxlim)
	533	self.axes.set_ylim(oldylim)
	534	return
	535
	536
	537	def set_line(self, number=None, **kwargs):
[1019]	538	"""
	539	Set attributes for the specified line, or else the next line(s)
	540	to be plotted.
[705]	541
[1019]	542	number is the 0-relative number of a line that has already been
	543	plotted. If no such line exists, attributes are recorded and used
	544	for the next line(s) to be plotted.
[705]	545
[1019]	546	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	547
[1019]	548	import matplotlib
	549	help(matplotlib.lines)
[705]	550
[1019]	551	The set_* methods of class Line2D define the attribute names and
	552	values. For non-US usage, "colour" is recognized as synonymous with
	553	"color".
[705]	554
[1019]	555	Set the value to None to delete an attribute.
[705]	556
[1019]	557	Colour translation is done as described in the doctext for palette().
	558	"""
[705]	559
[1019]	560	redraw = False
	561	for k, v in kwargs.iteritems():
	562	k = k.lower()
	563	if k == 'colour': k = 'color'
[705]	564
[1019]	565	if 0 <= number < len(self.lines):
	566	if self.lines[number] is not None:
	567	for line in self.lines[number]:
	568	getattr(line, "set_%s"%k)(v)
	569	redraw = True
	570	else:
	571	if v is None:
	572	del self.attributes[k]
	573	else:
	574	self.attributes[k] = v
[705]	575
[1153]	576	if redraw: self.show(hardrefresh=False)
[705]	577
	578
[1819]	579	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
	580	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, layout=None,ganged=True):
[1019]	581	"""
	582	Set the panel layout.
[705]	583
[1019]	584	rows and cols, if cols != 0, specify the number of rows and columns in
	585	a regular layout. (Indexing of these panels in matplotlib is row-
	586	major, i.e. column varies fastest.)
[705]	587
[1019]	588	cols == 0 is interpreted as a retangular layout that accomodates
	589	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	590	rows == 2, cols == 3.
[705]	591
[1019]	592	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	593	the configuration specified by rows and cols to be added to the
	594	current figure as its next 0-relative panel number (i). This allows
	595	non-regular panel layouts to be constructed via multiple calls. Any
	596	other value of n clears the plot and produces a rectangular array of
	597	empty panels. The number of these may be limited by nplots.
	598	"""
	599	if n < 0 and len(self.subplots):
	600	self.figure.clear()
	601	self.set_title()
[705]	602
[1819]	603	if layout:
	604	lef, bot, rig, top, wsp, hsp = layout
	605	self.figure.subplots_adjust(
	606	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	607	del lef,bot,rig,top,wsp,hsp
	608
[1019]	609	if rows < 1: rows = 1
[705]	610
[1019]	611	if cols <= 0:
	612	i = int(sqrt(rows))
	613	if i*i < rows: i += 1
	614	cols = i
[705]	615
[1019]	616	if i*(i-1) >= rows: i -= 1
	617	rows = i
[705]	618
[1019]	619	if 0 <= n < rows*cols:
	620	i = len(self.subplots)
[1819]	621
[1019]	622	self.subplots.append({})
[705]	623
[1019]	624	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	625	cols, n+1)
	626	self.subplots[i]['lines'] = []
[705]	627
[1019]	628	if i == 0: self.subplot(0)
[705]	629
[1019]	630	self.rows = 0
	631	self.cols = 0
[705]	632
[1019]	633	else:
	634	self.subplots = []
[705]	635
[1019]	636	if nplots < 1 or rows*cols < nplots:
	637	nplots = rows*cols
[1025]	638	if ganged:
	639	hsp,wsp = None,None
	640	if rows > 1: hsp = 0.0001
	641	if cols > 1: wsp = 0.0001
	642	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	643	for i in range(nplots):
	644	self.subplots.append({})
[1153]	645	self.subplots[i]['lines'] = []
	646	if not ganged:
	647	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	648	cols, i+1)
[1560]	649	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	650	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	651	else:
	652	if i == 0:
	653	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	654	cols, i+1)
[1560]	655	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1826]	656
[1513]	657	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	658	else:
	659	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	660	cols, i+1,
	661	sharex=self.subplots[0]['axes'],
	662	sharey=self.subplots[0]['axes'])
[1259]	663
[705]	664	# Suppress tick labelling for interior subplots.
	665	if i <= (rows-1)*cols - 1:
	666	if i+cols < nplots:
	667	# Suppress x-labels for frames width
	668	# adjacent frames
[1153]	669	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	670	tick.label1On = False
[1926]	671	#self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	672	if i%cols:
	673	# Suppress y-labels for frames not in the left column.
	674	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	675	tick.label1On = False
[1926]	676	#self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	677	# disable the first tick of [1:ncol-1] of the last row
[1153]	678	#if i+1 < nplots:
	679	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1926]	680	# set axes label state for interior subplots.
	681	if i%cols:
	682	self.subplots[i]['axes'].yaxis.label.set_visible(False)
	683	if (i <= (rows-1)*cols - 1) and (i+cols < nplots):
	684	self.subplots[i]['axes'].xaxis.label.set_visible(False)
	685	self.rows = rows
	686	self.cols = cols
[1019]	687	self.subplot(0)
[1819]	688	del rows,cols,n,nplots,layout,ganged,i
[705]	689
[1926]	690
[1153]	691	def tidy(self):
	692	# this needs to be exceuted after the first "refresh"
	693	nplots = len(self.subplots)
	694	if nplots == 1: return
	695	for i in xrange(nplots):
	696	ax = self.subplots[i]['axes']
	697	if i%self.cols:
	698	ax.xaxis.majorTicks[0].label1On = False
	699	else:
	700	if i != 0:
	701	ax.yaxis.majorTicks[-1].label1On = False
[1926]	702	## set axes label state for interior subplots.
	703	#innerax=False
	704	#if i%self.cols:
	705	# ax.yaxis.label.set_visible(innerax)
	706	#if (i <= (self.rows-1)*self.cols - 1) and (i+self.cols < nplots):
	707	# ax.xaxis.label.set_visible(innerax)
	708
[1153]	709
[705]	710	def set_title(self, title=None):
[1019]	711	"""
	712	Set the title of the plot window. Use the previous title if title is
	713	omitted.
	714	"""
	715	if title is not None:
	716	self.title = title
[705]	717
[1019]	718	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	719
	720
[1153]	721	def show(self, hardrefresh=True):
[1019]	722	"""
	723	Show graphics dependent on the current buffering state.
	724	"""
[1153]	725	if not hardrefresh: return
[1019]	726	if not self.buffering:
	727	if self.loc is not None:
[1086]	728	for sp in self.subplots:
[1019]	729	lines = []
	730	labels = []
	731	i = 0
[1086]	732	for line in sp['lines']:
[1019]	733	i += 1
	734	if line is not None:
	735	lines.append(line[0])
	736	lbl = line[0].get_label()
	737	if lbl == '':
	738	lbl = str(i)
	739	labels.append(lbl)
[705]	740
[1019]	741	if len(lines):
[1147]	742	fp = FP(size=rcParams['legend.fontsize'])
	743	fsz = fp.get_size_in_points() - len(lines)
	744	fp.set_size(max(fsz,6))
[1086]	745	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	746	self.loc, prop=fp)
[1019]	747	else:
[1086]	748	sp['axes'].legend((' '))
[705]	749
[1086]	750	from matplotlib.artist import setp
[1560]	751	fpx = FP(size=rcParams['xtick.labelsize'])
	752	xts = fpx.get_size_in_points()- (self.cols)/2
	753	fpy = FP(size=rcParams['ytick.labelsize'])
	754	yts = fpy.get_size_in_points() - (self.rows)/2
	755	fpa = FP(size=rcParams['axes.labelsize'])
	756	fpat = FP(size=rcParams['axes.titlesize'])
	757	axsize = fpa.get_size_in_points()
[1819]	758	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	759	for sp in self.subplots:
	760	ax = sp['axes']
[1819]	761	ax.title.set_size(tsize)
[1086]	762	setp(ax.get_xticklabels(), fontsize=xts)
	763	setp(ax.get_yticklabels(), fontsize=yts)
	764	off = 0
[1819]	765	if self.cols > 1: off = self.cols
[1560]	766	ax.xaxis.label.set_size(axsize-off)
[1819]	767	off = 0
	768	if self.rows > 1: off = self.rows
[1560]	769	ax.yaxis.label.set_size(axsize-off)
[705]	770
	771	def subplot(self, i=None, inc=None):
[1019]	772	"""
	773	Set the subplot to the 0-relative panel number as defined by one or
	774	more invokations of set_panels().
	775	"""
	776	l = len(self.subplots)
	777	if l:
	778	if i is not None:
	779	self.i = i
[705]	780
[1019]	781	if inc is not None:
	782	self.i += inc
[705]	783
[1019]	784	self.i %= l
	785	self.axes = self.subplots[self.i]['axes']
	786	self.lines = self.subplots[self.i]['lines']
[705]	787
	788	def text(self, args, *kwargs):
[1019]	789	"""
	790	Add text to the figure.
	791	"""
	792	self.figure.text(args, *kwargs)
	793	self.show()
[1147]	794
	795	def vline_with_label(self, x, y, label,
	796	location='bottom', rotate=0.0, **kwargs):
	797	"""
	798	Plot a vertical line with label.
	799	It takes "world" values fo x and y.
	800	"""
	801	ax = self.axes
	802	# need this to suppress autoscaling during this function
	803	self.axes.set_autoscale_on(False)
	804	ymin = 0.0
	805	ymax = 1.0
	806	valign = 'center'
	807	if location.lower() == 'top':
	808	y = max(0.0, y)
	809	elif location.lower() == 'bottom':
	810	y = min(0.0, y)
	811	lbloffset = 0.06
	812	# a rough estimate for the bb of the text
	813	if rotate > 0.0: lbloffset = 0.03*len(label)
	814	peakoffset = 0.01
[1535]	815	xy = None
	816	xy0 = None
	817	# matplotlib api change 0.98 is using transform now
	818	if hasattr(ax.transData, "inverse_xy_tup"):
	819	# get relative coords
	820	xy0 = ax.transData.xy_tup((x,y))
	821	xy = ax.transAxes.inverse_xy_tup(xy0)
	822	else:
	823	xy0 = ax.transData.transform((x,y))
	824	# get relative coords
	825	xy = ax.transAxes.inverted().transform(xy0)
[1147]	826	if location.lower() == 'top':
	827	ymax = 1.0-lbloffset
	828	ymin = xy[1]+peakoffset
	829	valign = 'bottom'
	830	ylbl = ymax+0.01
	831	elif location.lower() == 'bottom':
	832	ymin = lbloffset
	833	ymax = xy[1]-peakoffset
	834	valign = 'top'
	835	ylbl = ymin-0.01
[1425]	836	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	837	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	838	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	839	horizontalalignment='center',
	840	rotation=rotate,transform = trans)
	841	self.axes.set_autoscale_on(True)

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source: trunk/python/asaplotbase.py@ 1927

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