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asaplotbase.py @ 2069

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Last change on this file since 2069 was 2069, checked in by Kana Sugimoto, 13 years ago
merged a bug fix in trunk (r2068)
Property svn:eol-style set to `native` Property svn:keywords set to `Author Date Id Revision`
File size: 29.0 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	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)
[1980]	233	# add a picker to lines for spectral value mode.
	234	# matplotlib.axes.plot returns a list of line object (1 element)
	235	line[0].set_picker(5.0)
[705]	236
[1019]	237	# Add to an existing line?
[1086]	238	i = None
[1019]	239	if add is None or len(self.lines) < add < 0:
	240	# Don't add.
	241	self.lines.append(line)
	242	i = len(self.lines) - 1
	243	else:
	244	if add == 0: add = len(self.lines)
	245	i = add - 1
	246	self.lines[i].extend(line)
[705]	247
[1019]	248	# Set/reset attributes for the line.
	249	gotcolour = False
	250	for k, v in self.attributes.iteritems():
	251	if k == 'color': gotcolour = True
	252	for segment in self.lines[i]:
	253	getattr(segment, "set_%s"%k)(v)
[705]	254
[1019]	255	if not gotcolour and len(self.colormap):
	256	for segment in self.lines[i]:
	257	getattr(segment, "set_color")(self.colormap[self.color])
[710]	258	if len(self.colormap) == 1:
	259	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	260
[1019]	261	self.color += 1
	262	if self.color >= len(self.colormap):
	263	self.color = 0
[705]	264
[710]	265	if len(self.colormap) == 1:
	266	self.linestyle += 1
[1019]	267	if self.linestyle >= len(self.linestyles):
	268	self.linestyle = 0
[710]	269
[1019]	270	self.show()
[705]	271
	272
	273	def position(self):
[1019]	274	"""
	275	Use the mouse to get a position from a graph.
	276	"""
[705]	277
[1019]	278	def position_disable(event):
	279	self.register('button_press', None)
	280	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	281
[1019]	282	print 'Press any mouse button...'
	283	self.register('button_press', position_disable)
[705]	284
	285
[1546]	286	def get_region(self):
	287	pos = []
[1568]	288	print "Please select the bottom/left point"
[1546]	289	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	290	print "Please select the top/right point"
[1546]	291	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	292	return pos
	293
	294	def get_point(self):
[1568]	295	print "Please select the point"
[1553]	296	pt = self.figure.ginput(n=1, show_clicks=False)
	297	if pt:
	298	return pt[0]
	299	else:
	300	return None
[1546]	301
[705]	302	def region(self):
[1019]	303	"""
	304	Use the mouse to get a rectangular region from a plot.
[705]	305
[1019]	306	The return value is [x0, y0, x1, y1] in world coordinates.
	307	"""
[705]	308
[1019]	309	def region_start(event):
[1819]	310	self.rect = {'x': event.x, 'y': event.y,
[1019]	311	'world': [event.xdata, event.ydata,
	312	event.xdata, event.ydata]}
	313	self.register('button_press', None)
	314	self.register('motion_notify', region_draw)
	315	self.register('button_release', region_disable)
[705]	316
[1019]	317	def region_draw(event):
[1819]	318	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	319	self.rect['x'], self.rect['y'])
[1826]	320
[1019]	321	def region_disable(event):
	322	self.register('motion_notify', None)
	323	self.register('button_release', None)
[705]	324
[1019]	325	self.rect['world'][2:4] = [event.xdata, event.ydata]
	326	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	327	self.rect['world'][1], self.rect['world'][2],
	328	self.rect['world'][3])
[1819]	329	self.figmgr.toolbar.release(event)
[705]	330
[1019]	331	self.register('button_press', region_start)
[705]	332
[1019]	333	# This has to be modified to block and return the result (currently
	334	# printed by region_disable) when that becomes possible in matplotlib.
[705]	335
[1019]	336	return [0.0, 0.0, 0.0, 0.0]
[705]	337
	338
	339	def register(self, type=None, func=None):
[1019]	340	"""
	341	Register, reregister, or deregister events of type 'button_press',
	342	'button_release', or 'motion_notify'.
[705]	343
[1019]	344	The specified callback function should have the following signature:
[705]	345
[1019]	346	def func(event)
[705]	347
[1019]	348	where event is an MplEvent instance containing the following data:
[705]	349
[1019]	350	name # Event name.
	351	canvas # FigureCanvas instance generating the event.
	352	x = None # x position - pixels from left of canvas.
	353	y = None # y position - pixels from bottom of canvas.
	354	button = None # Button pressed: None, 1, 2, 3.
	355	key = None # Key pressed: None, chr(range(255)), shift,
	356	win, or control
	357	inaxes = None # Axes instance if cursor within axes.
	358	xdata = None # x world coordinate.
	359	ydata = None # y world coordinate.
[705]	360
[1019]	361	For example:
[705]	362
[1019]	363	def mouse_move(event):
	364	print event.xdata, event.ydata
[705]	365
[1019]	366	a = asaplot()
	367	a.register('motion_notify', mouse_move)
[705]	368
[1019]	369	If func is None, the event is deregistered.
[705]	370
[1019]	371	Note that in TkAgg keyboard button presses don't generate an event.
	372	"""
[705]	373
[1019]	374	if not self.events.has_key(type): return
[705]	375
[1019]	376	if func is None:
	377	if self.events[type] is not None:
	378	# It's not clear that this does anything.
	379	self.canvas.mpl_disconnect(self.events[type])
	380	self.events[type] = None
[705]	381
[1819]	382	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	383	#if type == 'motion_notify':
	384	# self.canvas.mpl_connect(type + '_event',
	385	# self.figmgr.toolbar.mouse_move)
	386	#elif type == 'button_press':
	387	# self.canvas.mpl_connect(type + '_event',
	388	# self.figmgr.toolbar.press)
	389	#elif type == 'button_release':
	390	# self.canvas.mpl_connect(type + '_event',
	391	# self.figmgr.toolbar.release)
[705]	392
[1019]	393	else:
	394	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	395
	396
	397	def release(self):
[1019]	398	"""
	399	Release buffered graphics.
	400	"""
	401	self.buffering = False
	402	self.show()
[705]	403
	404
[1095]	405	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	406	"""
	407	Save the plot to a file.
[705]	408
[1019]	409	fname is the name of the output file. The image format is determined
	410	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	411	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	412	directory.
	413	"""
[1095]	414	from asap import rcParams
	415	if papertype is None:
	416	papertype = rcParams['plotter.papertype']
[1019]	417	if fname is None:
	418	from datetime import datetime
	419	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	420	fname = 'asap'+dstr+'.png'
[705]	421
[1870]	422	d = ['png','.ps','eps', 'svg']
[705]	423
[1019]	424	from os.path import expandvars
	425	fname = expandvars(fname)
[705]	426
[1019]	427	if fname[-3:].lower() in d:
	428	try:
[705]	429	if fname[-3:].lower() == ".ps":
[1020]	430	from matplotlib import __version__ as mv
[1479]	431	w = self.figure.get_figwidth()
	432	h = self.figure.get_figheight()
[1019]	433
[705]	434	if orientation is None:
[1147]	435	# oriented
[705]	436	if w > h:
	437	orientation = 'landscape'
	438	else:
	439	orientation = 'portrait'
[1095]	440	from matplotlib.backends.backend_ps import papersize
	441	pw,ph = papersize[papertype.lower()]
[1025]	442	ds = None
	443	if orientation == 'landscape':
[1095]	444	ds = min(ph/w, pw/h)
[1025]	445	else:
[1095]	446	ds = min(pw/w, ph/h)
[1025]	447	ow = ds * w
	448	oh = ds * h
[1479]	449	self.figure.set_size_inches((ow, oh))
[1095]	450	self.figure.savefig(fname, orientation=orientation,
	451	papertype=papertype.lower())
[1479]	452	self.figure.set_size_inches((w, h))
[705]	453	print 'Written file %s' % (fname)
[1019]	454	else:
[705]	455	if dpi is None:
	456	dpi =150
[1025]	457	self.figure.savefig(fname,dpi=dpi)
[705]	458	print 'Written file %s' % (fname)
[1019]	459	except IOError, msg:
[1819]	460	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1861]	461	asaplog.post()
[1819]	462	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1861]	463	asaplog.post( 'ERROR' )
[1019]	464	return
	465	else:
[1819]	466	#print "Invalid image type. Valid types are:"
	467	#print "'ps', 'eps', 'png'"
	468	asaplog.push( "Invalid image type. Valid types are:" )
[1870]	469	asaplog.push( "'ps', 'eps', 'png', 'svg'" )
[1861]	470	asaplog.post('WARN')
[705]	471
	472
	473	def set_axes(self, what=None, args, *kwargs):
[1019]	474	"""
	475	Set attributes for the axes by calling the relevant Axes.set_*()
	476	method. Colour translation is done as described in the doctext
	477	for palette().
	478	"""
[705]	479
[1019]	480	if what is None: return
	481	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	482
[1153]	483	key = "colour"
	484	if kwargs.has_key(key):
	485	val = kwargs.pop(key)
	486	kwargs["color"] = val
[705]	487
[1153]	488	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	489
[1153]	490	self.show(hardrefresh=False)
[705]	491
[1019]	492
[705]	493	def set_figure(self, what=None, args, *kwargs):
[1019]	494	"""
	495	Set attributes for the figure by calling the relevant Figure.set_*()
	496	method. Colour translation is done as described in the doctext
	497	for palette().
	498	"""
[705]	499
[1019]	500	if what is None: return
	501	if what[-6:] == 'colour': what = what[:-6] + 'color'
	502	#if what[-5:] == 'color' and len(args):
	503	# args = (get_colour(args[0]),)
[705]	504
[1019]	505	newargs = {}
	506	for k, v in kwargs.iteritems():
	507	k = k.lower()
	508	if k == 'colour': k = 'color'
	509	newargs[k] = v
[705]	510
[1019]	511	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	512	self.show(hardrefresh=False)
[705]	513
	514
	515	def set_limits(self, xlim=None, ylim=None):
[1019]	516	"""
	517	Set x-, and y-limits for each subplot.
[705]	518
[1019]	519	xlim = [xmin, xmax] as in axes.set_xlim().
	520	ylim = [ymin, ymax] as in axes.set_ylim().
	521	"""
	522	for s in self.subplots:
	523	self.axes = s['axes']
	524	self.lines = s['lines']
[705]	525	oldxlim = list(self.axes.get_xlim())
	526	oldylim = list(self.axes.get_ylim())
	527	if xlim is not None:
	528	for i in range(len(xlim)):
	529	if xlim[i] is not None:
	530	oldxlim[i] = xlim[i]
[1019]	531	if ylim is not None:
[705]	532	for i in range(len(ylim)):
	533	if ylim[i] is not None:
	534	oldylim[i] = ylim[i]
	535	self.axes.set_xlim(oldxlim)
	536	self.axes.set_ylim(oldylim)
	537	return
	538
	539
	540	def set_line(self, number=None, **kwargs):
[1019]	541	"""
	542	Set attributes for the specified line, or else the next line(s)
	543	to be plotted.
[705]	544
[1019]	545	number is the 0-relative number of a line that has already been
	546	plotted. If no such line exists, attributes are recorded and used
	547	for the next line(s) to be plotted.
[705]	548
[1019]	549	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	550
[1019]	551	import matplotlib
	552	help(matplotlib.lines)
[705]	553
[1019]	554	The set_* methods of class Line2D define the attribute names and
	555	values. For non-US usage, "colour" is recognized as synonymous with
	556	"color".
[705]	557
[1019]	558	Set the value to None to delete an attribute.
[705]	559
[1019]	560	Colour translation is done as described in the doctext for palette().
	561	"""
[705]	562
[1019]	563	redraw = False
	564	for k, v in kwargs.iteritems():
	565	k = k.lower()
	566	if k == 'colour': k = 'color'
[705]	567
[1019]	568	if 0 <= number < len(self.lines):
	569	if self.lines[number] is not None:
	570	for line in self.lines[number]:
	571	getattr(line, "set_%s"%k)(v)
	572	redraw = True
	573	else:
	574	if v is None:
	575	del self.attributes[k]
	576	else:
	577	self.attributes[k] = v
[705]	578
[1153]	579	if redraw: self.show(hardrefresh=False)
[705]	580
	581
[1819]	582	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[2037]	583	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, margin=None,ganged=True):
[1019]	584	"""
	585	Set the panel layout.
[705]	586
[1019]	587	rows and cols, if cols != 0, specify the number of rows and columns in
	588	a regular layout. (Indexing of these panels in matplotlib is row-
	589	major, i.e. column varies fastest.)
[705]	590
[1019]	591	cols == 0 is interpreted as a retangular layout that accomodates
	592	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	593	rows == 2, cols == 3.
[705]	594
[1019]	595	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	596	the configuration specified by rows and cols to be added to the
	597	current figure as its next 0-relative panel number (i). This allows
	598	non-regular panel layouts to be constructed via multiple calls. Any
	599	other value of n clears the plot and produces a rectangular array of
	600	empty panels. The number of these may be limited by nplots.
	601	"""
	602	if n < 0 and len(self.subplots):
	603	self.figure.clear()
	604	self.set_title()
[705]	605
[2037]	606	if margin:
	607	lef, bot, rig, top, wsp, hsp = margin
[1819]	608	self.figure.subplots_adjust(
	609	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	610	del lef,bot,rig,top,wsp,hsp
	611
[1019]	612	if rows < 1: rows = 1
[705]	613
[1019]	614	if cols <= 0:
	615	i = int(sqrt(rows))
	616	if i*i < rows: i += 1
	617	cols = i
[705]	618
[1019]	619	if i*(i-1) >= rows: i -= 1
	620	rows = i
[705]	621
[1019]	622	if 0 <= n < rows*cols:
	623	i = len(self.subplots)
[1819]	624
[1019]	625	self.subplots.append({})
[705]	626
[1019]	627	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	628	cols, n+1)
	629	self.subplots[i]['lines'] = []
[705]	630
[1019]	631	if i == 0: self.subplot(0)
[705]	632
[1019]	633	self.rows = 0
	634	self.cols = 0
[705]	635
[1019]	636	else:
	637	self.subplots = []
[705]	638
[1019]	639	if nplots < 1 or rows*cols < nplots:
	640	nplots = rows*cols
[1025]	641	if ganged:
	642	hsp,wsp = None,None
	643	if rows > 1: hsp = 0.0001
	644	if cols > 1: wsp = 0.0001
	645	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	646	for i in range(nplots):
	647	self.subplots.append({})
[1153]	648	self.subplots[i]['lines'] = []
	649	if not ganged:
	650	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	651	cols, i+1)
[1560]	652	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	653	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	654	else:
	655	if i == 0:
	656	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	657	cols, i+1)
[1560]	658	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1826]	659
[1513]	660	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	661	else:
	662	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	663	cols, i+1,
	664	sharex=self.subplots[0]['axes'],
	665	sharey=self.subplots[0]['axes'])
[1259]	666
[705]	667	# Suppress tick labelling for interior subplots.
	668	if i <= (rows-1)*cols - 1:
	669	if i+cols < nplots:
	670	# Suppress x-labels for frames width
	671	# adjacent frames
[1153]	672	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	673	tick.label1On = False
[1926]	674	#self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	675	if i%cols:
	676	# Suppress y-labels for frames not in the left column.
	677	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	678	tick.label1On = False
[1926]	679	#self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	680	# disable the first tick of [1:ncol-1] of the last row
[1153]	681	#if i+1 < nplots:
	682	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1926]	683	# set axes label state for interior subplots.
	684	if i%cols:
	685	self.subplots[i]['axes'].yaxis.label.set_visible(False)
	686	if (i <= (rows-1)*cols - 1) and (i+cols < nplots):
	687	self.subplots[i]['axes'].xaxis.label.set_visible(False)
	688	self.rows = rows
	689	self.cols = cols
[1019]	690	self.subplot(0)
[2037]	691	del rows,cols,n,nplots,margin,ganged,i
[705]	692
[1926]	693
[1153]	694	def tidy(self):
	695	# this needs to be exceuted after the first "refresh"
	696	nplots = len(self.subplots)
	697	if nplots == 1: return
	698	for i in xrange(nplots):
	699	ax = self.subplots[i]['axes']
	700	if i%self.cols:
	701	ax.xaxis.majorTicks[0].label1On = False
	702	else:
	703	if i != 0:
	704	ax.yaxis.majorTicks[-1].label1On = False
[1926]	705	## set axes label state for interior subplots.
	706	#innerax=False
	707	#if i%self.cols:
	708	# ax.yaxis.label.set_visible(innerax)
	709	#if (i <= (self.rows-1)*self.cols - 1) and (i+self.cols < nplots):
	710	# ax.xaxis.label.set_visible(innerax)
	711
[1153]	712
[705]	713	def set_title(self, title=None):
[1019]	714	"""
	715	Set the title of the plot window. Use the previous title if title is
	716	omitted.
	717	"""
	718	if title is not None:
	719	self.title = title
[705]	720
[1019]	721	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	722
	723
[1153]	724	def show(self, hardrefresh=True):
[1019]	725	"""
	726	Show graphics dependent on the current buffering state.
	727	"""
[1153]	728	if not hardrefresh: return
[1019]	729	if not self.buffering:
	730	if self.loc is not None:
[1086]	731	for sp in self.subplots:
[1019]	732	lines = []
	733	labels = []
	734	i = 0
[1086]	735	for line in sp['lines']:
[1019]	736	i += 1
	737	if line is not None:
	738	lines.append(line[0])
	739	lbl = line[0].get_label()
	740	if lbl == '':
	741	lbl = str(i)
	742	labels.append(lbl)
[705]	743
[1019]	744	if len(lines):
[1147]	745	fp = FP(size=rcParams['legend.fontsize'])
[2069]	746	#fsz = fp.get_size_in_points() - len(lines)
	747	fsz = fp.get_size_in_points() - max(len(lines),self.cols)
	748	#fp.set_size(max(fsz,6))
	749	fp.set_size(max(fsz,8))
[1086]	750	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	751	self.loc, prop=fp)
[1946]	752	#else:
	753	# sp['axes'].legend((' '))
[705]	754
[1086]	755	from matplotlib.artist import setp
[1560]	756	fpx = FP(size=rcParams['xtick.labelsize'])
	757	xts = fpx.get_size_in_points()- (self.cols)/2
	758	fpy = FP(size=rcParams['ytick.labelsize'])
	759	yts = fpy.get_size_in_points() - (self.rows)/2
	760	fpa = FP(size=rcParams['axes.labelsize'])
	761	fpat = FP(size=rcParams['axes.titlesize'])
	762	axsize = fpa.get_size_in_points()
[1819]	763	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	764	for sp in self.subplots:
	765	ax = sp['axes']
[1819]	766	ax.title.set_size(tsize)
[1086]	767	setp(ax.get_xticklabels(), fontsize=xts)
	768	setp(ax.get_yticklabels(), fontsize=yts)
	769	off = 0
[1819]	770	if self.cols > 1: off = self.cols
[1560]	771	ax.xaxis.label.set_size(axsize-off)
[1819]	772	off = 0
	773	if self.rows > 1: off = self.rows
[1560]	774	ax.yaxis.label.set_size(axsize-off)
[705]	775
	776	def subplot(self, i=None, inc=None):
[1019]	777	"""
	778	Set the subplot to the 0-relative panel number as defined by one or
	779	more invokations of set_panels().
	780	"""
	781	l = len(self.subplots)
	782	if l:
	783	if i is not None:
	784	self.i = i
[705]	785
[1019]	786	if inc is not None:
	787	self.i += inc
[705]	788
[1019]	789	self.i %= l
	790	self.axes = self.subplots[self.i]['axes']
	791	self.lines = self.subplots[self.i]['lines']
[705]	792
	793	def text(self, args, *kwargs):
[1019]	794	"""
	795	Add text to the figure.
	796	"""
	797	self.figure.text(args, *kwargs)
	798	self.show()
[1147]	799
	800	def vline_with_label(self, x, y, label,
	801	location='bottom', rotate=0.0, **kwargs):
	802	"""
	803	Plot a vertical line with label.
	804	It takes "world" values fo x and y.
	805	"""
	806	ax = self.axes
	807	# need this to suppress autoscaling during this function
	808	self.axes.set_autoscale_on(False)
	809	ymin = 0.0
	810	ymax = 1.0
	811	valign = 'center'
	812	if location.lower() == 'top':
	813	y = max(0.0, y)
	814	elif location.lower() == 'bottom':
	815	y = min(0.0, y)
	816	lbloffset = 0.06
	817	# a rough estimate for the bb of the text
	818	if rotate > 0.0: lbloffset = 0.03*len(label)
	819	peakoffset = 0.01
[1535]	820	xy = None
	821	xy0 = None
	822	# matplotlib api change 0.98 is using transform now
	823	if hasattr(ax.transData, "inverse_xy_tup"):
	824	# get relative coords
	825	xy0 = ax.transData.xy_tup((x,y))
	826	xy = ax.transAxes.inverse_xy_tup(xy0)
	827	else:
	828	xy0 = ax.transData.transform((x,y))
	829	# get relative coords
	830	xy = ax.transAxes.inverted().transform(xy0)
[1147]	831	if location.lower() == 'top':
	832	ymax = 1.0-lbloffset
	833	ymin = xy[1]+peakoffset
	834	valign = 'bottom'
	835	ylbl = ymax+0.01
	836	elif location.lower() == 'bottom':
	837	ymin = lbloffset
	838	ymax = xy[1]-peakoffset
	839	valign = 'top'
	840	ylbl = ymin-0.01
[1425]	841	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	842	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	843	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	844	horizontalalignment='center',
	845	rotation=rotate,transform = trans)
	846	self.axes.set_autoscale_on(True)

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source: branches/casa-prerelease/pre-asap/python/asaplotbase.py @ 2069

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