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asaplotbase.py @ 2699

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Last change on this file since 2699 was 2699, checked in by Kana Sugimoto, 11 years ago

New Development: No

JIRA Issue: No (bug fixes)

Ready for Test: Yes

Interface Changes: No

What Interface Changed:

Test Programs: unit tests of sdplot

Put in Release Notes: No

Module(s): asapplotter and sdplot

Description:

Fixed a bug which caused failure of plots by user defined linestyles.
Made sure data is plotted on mpl plotter (not on ASAP plotter) by
plotpointing and plotazel.

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

File size: 29.9 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
[2538]	14	from matplotlib import _pylab_helpers
[1147]	15
[1826]	16	from asap.parameters import rcParams as asaprcParams
[1861]	17	from asap.logging import asaplog
[1826]	18
[1425]	19	# API change in mpl >= 0.98
	20	try:
	21	from matplotlib.transforms import blended_transform_factory
	22	except ImportError:
[1560]	23	from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1425]	24
[2169]	25	mvers = matplotlib.__version__.split(".")
	26	if int(mvers[0]) == 0 and int(mvers[1]) < 99:
[1819]	27	#print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
[1826]	28	asaplog.push( "matplotlib version < 0.99. This might cause errors. Please upgrade." )
[1861]	29	asaplog.post( 'WARN' )
[1019]	30
[705]	31	class asaplotbase:
	32	"""
	33	ASAP plotting base class based on matplotlib.
	34	"""
	35
[1563]	36	def __init__(self, rows=1, cols=0, title='', size=None, buffering=False):
[1019]	37	"""
	38	Create a new instance of the ASAPlot plotting class.
[705]	39
[1019]	40	If rows < 1 then a separate call to set_panels() is required to define
	41	the panel layout; refer to the doctext for set_panels().
	42	"""
[705]	43	self.is_dead = False
[1019]	44	self.figure = Figure(figsize=size, facecolor='#ddddee')
[705]	45	self.canvas = None
	46
[1019]	47	self.set_title(title)
	48	self.subplots = []
	49	if rows > 0:
	50	self.set_panels(rows, cols)
[705]	51
[710]	52	# Set matplotlib default colour sequence.
	53	self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
[1019]	54
[710]	55	c = asaprcParams['plotter.colours']
	56	if isinstance(c,str) and len(c) > 0:
	57	self.colormap = c.split()
[2699]	58	# line styles need to be set as a list of numbers to use set_dashes
	59	self.lsalias = {"line": [1,0],
	60	"dashdot": [4,2,1,2],
	61	"dashed" : [4,2,4,2],
	62	"dotted" : [1,2],
[710]	63	"dashdotdot": [4,2,1,2,1,2],
	64	"dashdashdot": [4,2,4,2,1,2]
	65	}
	66
	67	styles = "line dashed dotted dashdot".split()
	68	c = asaprcParams['plotter.linestyles']
	69	if isinstance(c,str) and len(c) > 0:
	70	styles = c.split()
	71	s = []
	72	for ls in styles:
	73	if self.lsalias.has_key(ls):
	74	s.append(self.lsalias.get(ls))
	75	else:
	76	s.append('-')
	77	self.linestyles = s
	78
[705]	79	self.color = 0;
[710]	80	self.linestyle = 0;
[1019]	81	self.attributes = {}
	82	self.loc = 0
[705]	83
[1019]	84	self.buffering = buffering
[705]	85
[2451]	86	self.events = {'button_press':None,
	87	'button_release':None,
	88	'motion_notify':None}
	89
[705]	90	def clear(self):
[1019]	91	"""
[2693]	92	Delete all lines from the current subplot.
	93	Line numbering will restart from 0.
[1019]	94	"""
[705]	95
[2697]	96	#for i in range(len(self.lines)):
	97	# self.delete(i)
[1019]	98	self.axes.clear()
	99	self.color = 0
[2699]	100	self.linestyle = 0
[1019]	101	self.lines = []
[2697]	102	self.subplots[self.i]['lines'] = 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	"""
[1739]	159	from numpy import array
	160	from numpy.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)
[1553]	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)
[1980]	242	# add a picker to lines for spectral value mode.
	243	# matplotlib.axes.plot returns a list of line object (1 element)
	244	line[0].set_picker(5.0)
[705]	245
[1019]	246	# Add to an existing line?
[1086]	247	i = None
[1019]	248	if add is None or len(self.lines) < add < 0:
	249	# Don't add.
	250	self.lines.append(line)
	251	i = len(self.lines) - 1
	252	else:
	253	if add == 0: add = len(self.lines)
	254	i = add - 1
	255	self.lines[i].extend(line)
[705]	256
[1019]	257	# Set/reset attributes for the line.
	258	gotcolour = False
	259	for k, v in self.attributes.iteritems():
	260	if k == 'color': gotcolour = True
	261	for segment in self.lines[i]:
	262	getattr(segment, "set_%s"%k)(v)
[705]	263
[1019]	264	if not gotcolour and len(self.colormap):
	265	for segment in self.lines[i]:
	266	getattr(segment, "set_color")(self.colormap[self.color])
[710]	267	if len(self.colormap) == 1:
	268	getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
[1086]	269
[1019]	270	self.color += 1
	271	if self.color >= len(self.colormap):
	272	self.color = 0
[705]	273
[710]	274	if len(self.colormap) == 1:
	275	self.linestyle += 1
[1019]	276	if self.linestyle >= len(self.linestyles):
	277	self.linestyle = 0
[710]	278
[1019]	279	self.show()
[705]	280
	281
	282	def position(self):
[1019]	283	"""
	284	Use the mouse to get a position from a graph.
	285	"""
[705]	286
[1019]	287	def position_disable(event):
	288	self.register('button_press', None)
	289	print '%.4f, %.4f' % (event.xdata, event.ydata)
[705]	290
[1019]	291	print 'Press any mouse button...'
	292	self.register('button_press', position_disable)
[705]	293
	294
[1546]	295	def get_region(self):
	296	pos = []
[1568]	297	print "Please select the bottom/left point"
[1546]	298	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	299	print "Please select the top/right point"
[1546]	300	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	301	return pos
	302
	303	def get_point(self):
[1568]	304	print "Please select the point"
[1553]	305	pt = self.figure.ginput(n=1, show_clicks=False)
	306	if pt:
	307	return pt[0]
	308	else:
	309	return None
[1546]	310
[705]	311	def region(self):
[1019]	312	"""
	313	Use the mouse to get a rectangular region from a plot.
[705]	314
[1019]	315	The return value is [x0, y0, x1, y1] in world coordinates.
	316	"""
[705]	317
[1019]	318	def region_start(event):
[1819]	319	self.rect = {'x': event.x, 'y': event.y,
[1019]	320	'world': [event.xdata, event.ydata,
	321	event.xdata, event.ydata]}
	322	self.register('button_press', None)
	323	self.register('motion_notify', region_draw)
	324	self.register('button_release', region_disable)
[705]	325
[1019]	326	def region_draw(event):
[1819]	327	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	328	self.rect['x'], self.rect['y'])
[1826]	329
[1019]	330	def region_disable(event):
	331	self.register('motion_notify', None)
	332	self.register('button_release', None)
[705]	333
[1019]	334	self.rect['world'][2:4] = [event.xdata, event.ydata]
	335	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	336	self.rect['world'][1], self.rect['world'][2],
	337	self.rect['world'][3])
[1819]	338	self.figmgr.toolbar.release(event)
[705]	339
[1019]	340	self.register('button_press', region_start)
[705]	341
[1019]	342	# This has to be modified to block and return the result (currently
	343	# printed by region_disable) when that becomes possible in matplotlib.
[705]	344
[1019]	345	return [0.0, 0.0, 0.0, 0.0]
[705]	346
	347
	348	def register(self, type=None, func=None):
[1019]	349	"""
	350	Register, reregister, or deregister events of type 'button_press',
	351	'button_release', or 'motion_notify'.
[705]	352
[1019]	353	The specified callback function should have the following signature:
[705]	354
[1019]	355	def func(event)
[705]	356
[1019]	357	where event is an MplEvent instance containing the following data:
[705]	358
[1019]	359	name # Event name.
	360	canvas # FigureCanvas instance generating the event.
	361	x = None # x position - pixels from left of canvas.
	362	y = None # y position - pixels from bottom of canvas.
	363	button = None # Button pressed: None, 1, 2, 3.
	364	key = None # Key pressed: None, chr(range(255)), shift,
	365	win, or control
	366	inaxes = None # Axes instance if cursor within axes.
	367	xdata = None # x world coordinate.
	368	ydata = None # y world coordinate.
[705]	369
[1019]	370	For example:
[705]	371
[1019]	372	def mouse_move(event):
	373	print event.xdata, event.ydata
[705]	374
[1019]	375	a = asaplot()
	376	a.register('motion_notify', mouse_move)
[705]	377
[1019]	378	If func is None, the event is deregistered.
[705]	379
[1019]	380	Note that in TkAgg keyboard button presses don't generate an event.
	381	"""
[705]	382
[1019]	383	if not self.events.has_key(type): return
[705]	384
[1019]	385	if func is None:
	386	if self.events[type] is not None:
	387	# It's not clear that this does anything.
	388	self.canvas.mpl_disconnect(self.events[type])
	389	self.events[type] = None
[705]	390
[1819]	391	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	392	#if type == 'motion_notify':
	393	# self.canvas.mpl_connect(type + '_event',
	394	# self.figmgr.toolbar.mouse_move)
	395	#elif type == 'button_press':
	396	# self.canvas.mpl_connect(type + '_event',
	397	# self.figmgr.toolbar.press)
	398	#elif type == 'button_release':
	399	# self.canvas.mpl_connect(type + '_event',
	400	# self.figmgr.toolbar.release)
[705]	401
[1019]	402	else:
	403	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	404
	405
	406	def release(self):
[1019]	407	"""
	408	Release buffered graphics.
	409	"""
	410	self.buffering = False
	411	self.show()
[705]	412
	413
[1095]	414	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	415	"""
	416	Save the plot to a file.
[705]	417
[1019]	418	fname is the name of the output file. The image format is determined
	419	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	420	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	421	directory.
	422	"""
[1095]	423	from asap import rcParams
	424	if papertype is None:
	425	papertype = rcParams['plotter.papertype']
[1019]	426	if fname is None:
	427	from datetime import datetime
	428	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	429	fname = 'asap'+dstr+'.png'
[705]	430
[1870]	431	d = ['png','.ps','eps', 'svg']
[705]	432
[1019]	433	from os.path import expandvars
	434	fname = expandvars(fname)
[705]	435
[1019]	436	if fname[-3:].lower() in d:
	437	try:
[705]	438	if fname[-3:].lower() == ".ps":
[1020]	439	from matplotlib import __version__ as mv
[1479]	440	w = self.figure.get_figwidth()
	441	h = self.figure.get_figheight()
[1019]	442
[705]	443	if orientation is None:
[1147]	444	# oriented
[705]	445	if w > h:
	446	orientation = 'landscape'
	447	else:
	448	orientation = 'portrait'
[1095]	449	from matplotlib.backends.backend_ps import papersize
	450	pw,ph = papersize[papertype.lower()]
[1025]	451	ds = None
	452	if orientation == 'landscape':
[1095]	453	ds = min(ph/w, pw/h)
[1025]	454	else:
[1095]	455	ds = min(pw/w, ph/h)
[1025]	456	ow = ds * w
	457	oh = ds * h
[1479]	458	self.figure.set_size_inches((ow, oh))
[1095]	459	self.figure.savefig(fname, orientation=orientation,
	460	papertype=papertype.lower())
[1479]	461	self.figure.set_size_inches((w, h))
[705]	462	print 'Written file %s' % (fname)
[1019]	463	else:
[705]	464	if dpi is None:
	465	dpi =150
[1025]	466	self.figure.savefig(fname,dpi=dpi)
[705]	467	print 'Written file %s' % (fname)
[1019]	468	except IOError, msg:
[1819]	469	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1861]	470	asaplog.post()
[1819]	471	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1861]	472	asaplog.post( 'ERROR' )
[1019]	473	return
	474	else:
[1819]	475	#print "Invalid image type. Valid types are:"
	476	#print "'ps', 'eps', 'png'"
	477	asaplog.push( "Invalid image type. Valid types are:" )
[1870]	478	asaplog.push( "'ps', 'eps', 'png', 'svg'" )
[1861]	479	asaplog.post('WARN')
[705]	480
	481
	482	def set_axes(self, what=None, args, *kwargs):
[1019]	483	"""
	484	Set attributes for the axes by calling the relevant Axes.set_*()
	485	method. Colour translation is done as described in the doctext
	486	for palette().
	487	"""
[705]	488
[1019]	489	if what is None: return
	490	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	491
[1153]	492	key = "colour"
	493	if kwargs.has_key(key):
	494	val = kwargs.pop(key)
	495	kwargs["color"] = val
[705]	496
[1153]	497	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	498
[1153]	499	self.show(hardrefresh=False)
[705]	500
[1019]	501
[705]	502	def set_figure(self, what=None, args, *kwargs):
[1019]	503	"""
	504	Set attributes for the figure by calling the relevant Figure.set_*()
	505	method. Colour translation is done as described in the doctext
	506	for palette().
	507	"""
[705]	508
[1019]	509	if what is None: return
	510	if what[-6:] == 'colour': what = what[:-6] + 'color'
	511	#if what[-5:] == 'color' and len(args):
	512	# args = (get_colour(args[0]),)
[705]	513
[1019]	514	newargs = {}
	515	for k, v in kwargs.iteritems():
	516	k = k.lower()
	517	if k == 'colour': k = 'color'
	518	newargs[k] = v
[705]	519
[1019]	520	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	521	self.show(hardrefresh=False)
[705]	522
	523
	524	def set_limits(self, xlim=None, ylim=None):
[1019]	525	"""
	526	Set x-, and y-limits for each subplot.
[705]	527
[1019]	528	xlim = [xmin, xmax] as in axes.set_xlim().
	529	ylim = [ymin, ymax] as in axes.set_ylim().
	530	"""
	531	for s in self.subplots:
	532	self.axes = s['axes']
	533	self.lines = s['lines']
[705]	534	oldxlim = list(self.axes.get_xlim())
	535	oldylim = list(self.axes.get_ylim())
	536	if xlim is not None:
	537	for i in range(len(xlim)):
	538	if xlim[i] is not None:
	539	oldxlim[i] = xlim[i]
[1019]	540	if ylim is not None:
[705]	541	for i in range(len(ylim)):
	542	if ylim[i] is not None:
	543	oldylim[i] = ylim[i]
	544	self.axes.set_xlim(oldxlim)
	545	self.axes.set_ylim(oldylim)
	546	return
	547
	548
	549	def set_line(self, number=None, **kwargs):
[1019]	550	"""
	551	Set attributes for the specified line, or else the next line(s)
	552	to be plotted.
[705]	553
[1019]	554	number is the 0-relative number of a line that has already been
	555	plotted. If no such line exists, attributes are recorded and used
	556	for the next line(s) to be plotted.
[705]	557
[1019]	558	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	559
[1019]	560	import matplotlib
	561	help(matplotlib.lines)
[705]	562
[1019]	563	The set_* methods of class Line2D define the attribute names and
[2451]	564	values. For non-US usage, 'colour' is recognized as synonymous with
	565	'color'.
[705]	566
[1019]	567	Set the value to None to delete an attribute.
[705]	568
[1019]	569	Colour translation is done as described in the doctext for palette().
	570	"""
[705]	571
[1019]	572	redraw = False
	573	for k, v in kwargs.iteritems():
	574	k = k.lower()
	575	if k == 'colour': k = 'color'
[705]	576
[1019]	577	if 0 <= number < len(self.lines):
	578	if self.lines[number] is not None:
	579	for line in self.lines[number]:
	580	getattr(line, "set_%s"%k)(v)
	581	redraw = True
	582	else:
	583	if v is None:
	584	del self.attributes[k]
	585	else:
	586	self.attributes[k] = v
[705]	587
[1153]	588	if redraw: self.show(hardrefresh=False)
[705]	589
	590
[1819]	591	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[2037]	592	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, margin=None,ganged=True):
[1019]	593	"""
	594	Set the panel layout.
[705]	595
[1019]	596	rows and cols, if cols != 0, specify the number of rows and columns in
	597	a regular layout. (Indexing of these panels in matplotlib is row-
	598	major, i.e. column varies fastest.)
[705]	599
[1019]	600	cols == 0 is interpreted as a retangular layout that accomodates
	601	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	602	rows == 2, cols == 3.
[705]	603
[1019]	604	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	605	the configuration specified by rows and cols to be added to the
	606	current figure as its next 0-relative panel number (i). This allows
	607	non-regular panel layouts to be constructed via multiple calls. Any
	608	other value of n clears the plot and produces a rectangular array of
	609	empty panels. The number of these may be limited by nplots.
	610	"""
	611	if n < 0 and len(self.subplots):
	612	self.figure.clear()
	613	self.set_title()
[705]	614
[2037]	615	if margin:
	616	lef, bot, rig, top, wsp, hsp = margin
[1819]	617	self.figure.subplots_adjust(
	618	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	619	del lef,bot,rig,top,wsp,hsp
	620
[1019]	621	if rows < 1: rows = 1
[705]	622
[1019]	623	if cols <= 0:
	624	i = int(sqrt(rows))
	625	if i*i < rows: i += 1
	626	cols = i
[705]	627
[1019]	628	if i*(i-1) >= rows: i -= 1
	629	rows = i
[705]	630
[1019]	631	if 0 <= n < rows*cols:
	632	i = len(self.subplots)
[1819]	633
[1019]	634	self.subplots.append({})
[705]	635
[1019]	636	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	637	cols, n+1)
	638	self.subplots[i]['lines'] = []
[705]	639
[1019]	640	if i == 0: self.subplot(0)
[705]	641
[1019]	642	self.rows = 0
	643	self.cols = 0
[705]	644
[1019]	645	else:
	646	self.subplots = []
[705]	647
[1019]	648	if nplots < 1 or rows*cols < nplots:
	649	nplots = rows*cols
[1025]	650	if ganged:
	651	hsp,wsp = None,None
	652	if rows > 1: hsp = 0.0001
	653	if cols > 1: wsp = 0.0001
	654	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	655	for i in range(nplots):
	656	self.subplots.append({})
[1153]	657	self.subplots[i]['lines'] = []
	658	if not ganged:
	659	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	660	cols, i+1)
[1560]	661	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	662	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	663	else:
	664	if i == 0:
	665	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	666	cols, i+1)
[1560]	667	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1826]	668
[1513]	669	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	670	else:
	671	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	672	cols, i+1,
	673	sharex=self.subplots[0]['axes'],
	674	sharey=self.subplots[0]['axes'])
[1259]	675
[705]	676	# Suppress tick labelling for interior subplots.
	677	if i <= (rows-1)*cols - 1:
	678	if i+cols < nplots:
	679	# Suppress x-labels for frames width
	680	# adjacent frames
[1153]	681	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	682	tick.label1On = False
[1926]	683	#self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	684	if i%cols:
	685	# Suppress y-labels for frames not in the left column.
	686	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	687	tick.label1On = False
[1926]	688	#self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	689	# disable the first tick of [1:ncol-1] of the last row
[1153]	690	#if i+1 < nplots:
	691	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1926]	692	# set axes label state for interior subplots.
	693	if i%cols:
	694	self.subplots[i]['axes'].yaxis.label.set_visible(False)
	695	if (i <= (rows-1)*cols - 1) and (i+cols < nplots):
	696	self.subplots[i]['axes'].xaxis.label.set_visible(False)
	697	self.rows = rows
	698	self.cols = cols
[1019]	699	self.subplot(0)
[2037]	700	del rows,cols,n,nplots,margin,ganged,i
[705]	701
[1926]	702
[1153]	703	def tidy(self):
	704	# this needs to be exceuted after the first "refresh"
	705	nplots = len(self.subplots)
	706	if nplots == 1: return
	707	for i in xrange(nplots):
	708	ax = self.subplots[i]['axes']
	709	if i%self.cols:
	710	ax.xaxis.majorTicks[0].label1On = False
	711	else:
	712	if i != 0:
	713	ax.yaxis.majorTicks[-1].label1On = False
[1926]	714	## set axes label state for interior subplots.
	715	#innerax=False
	716	#if i%self.cols:
	717	# ax.yaxis.label.set_visible(innerax)
	718	#if (i <= (self.rows-1)*self.cols - 1) and (i+self.cols < nplots):
	719	# ax.xaxis.label.set_visible(innerax)
	720
[1153]	721
[705]	722	def set_title(self, title=None):
[1019]	723	"""
	724	Set the title of the plot window. Use the previous title if title is
	725	omitted.
	726	"""
	727	if title is not None:
	728	self.title = title
[705]	729
[1019]	730	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	731
	732
[1153]	733	def show(self, hardrefresh=True):
[1019]	734	"""
	735	Show graphics dependent on the current buffering state.
	736	"""
[1153]	737	if not hardrefresh: return
[1019]	738	if not self.buffering:
	739	if self.loc is not None:
[1086]	740	for sp in self.subplots:
[1019]	741	lines = []
	742	labels = []
	743	i = 0
[1086]	744	for line in sp['lines']:
[1019]	745	i += 1
	746	if line is not None:
	747	lines.append(line[0])
	748	lbl = line[0].get_label()
	749	if lbl == '':
	750	lbl = str(i)
	751	labels.append(lbl)
[705]	752
[1019]	753	if len(lines):
[1147]	754	fp = FP(size=rcParams['legend.fontsize'])
[2068]	755	#fsz = fp.get_size_in_points() - len(lines)
	756	fsz = fp.get_size_in_points() - max(len(lines),self.cols)
	757	#fp.set_size(max(fsz,6))
	758	fp.set_size(max(fsz,8))
[1086]	759	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	760	self.loc, prop=fp)
[1946]	761	#else:
	762	# sp['axes'].legend((' '))
[705]	763
[1086]	764	from matplotlib.artist import setp
[1560]	765	fpx = FP(size=rcParams['xtick.labelsize'])
	766	xts = fpx.get_size_in_points()- (self.cols)/2
	767	fpy = FP(size=rcParams['ytick.labelsize'])
	768	yts = fpy.get_size_in_points() - (self.rows)/2
	769	fpa = FP(size=rcParams['axes.labelsize'])
	770	fpat = FP(size=rcParams['axes.titlesize'])
	771	axsize = fpa.get_size_in_points()
[1819]	772	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	773	for sp in self.subplots:
	774	ax = sp['axes']
[1819]	775	ax.title.set_size(tsize)
[1086]	776	setp(ax.get_xticklabels(), fontsize=xts)
	777	setp(ax.get_yticklabels(), fontsize=yts)
	778	off = 0
[1819]	779	if self.cols > 1: off = self.cols
[1560]	780	ax.xaxis.label.set_size(axsize-off)
[1819]	781	off = 0
	782	if self.rows > 1: off = self.rows
[1560]	783	ax.yaxis.label.set_size(axsize-off)
[705]	784
	785	def subplot(self, i=None, inc=None):
[1019]	786	"""
	787	Set the subplot to the 0-relative panel number as defined by one or
	788	more invokations of set_panels().
	789	"""
	790	l = len(self.subplots)
	791	if l:
	792	if i is not None:
	793	self.i = i
[705]	794
[1019]	795	if inc is not None:
	796	self.i += inc
[705]	797
[1019]	798	self.i %= l
	799	self.axes = self.subplots[self.i]['axes']
	800	self.lines = self.subplots[self.i]['lines']
[705]	801
	802	def text(self, args, *kwargs):
[1019]	803	"""
	804	Add text to the figure.
	805	"""
	806	self.figure.text(args, *kwargs)
	807	self.show()
[1147]	808
	809	def vline_with_label(self, x, y, label,
	810	location='bottom', rotate=0.0, **kwargs):
	811	"""
	812	Plot a vertical line with label.
	813	It takes "world" values fo x and y.
	814	"""
	815	ax = self.axes
	816	# need this to suppress autoscaling during this function
	817	self.axes.set_autoscale_on(False)
	818	ymin = 0.0
	819	ymax = 1.0
	820	valign = 'center'
	821	if location.lower() == 'top':
	822	y = max(0.0, y)
	823	elif location.lower() == 'bottom':
	824	y = min(0.0, y)
	825	lbloffset = 0.06
	826	# a rough estimate for the bb of the text
	827	if rotate > 0.0: lbloffset = 0.03*len(label)
	828	peakoffset = 0.01
[1535]	829	xy = None
	830	xy0 = None
	831	# matplotlib api change 0.98 is using transform now
	832	if hasattr(ax.transData, "inverse_xy_tup"):
	833	# get relative coords
	834	xy0 = ax.transData.xy_tup((x,y))
	835	xy = ax.transAxes.inverse_xy_tup(xy0)
	836	else:
	837	xy0 = ax.transData.transform((x,y))
	838	# get relative coords
	839	xy = ax.transAxes.inverted().transform(xy0)
[1147]	840	if location.lower() == 'top':
	841	ymax = 1.0-lbloffset
	842	ymin = xy[1]+peakoffset
	843	valign = 'bottom'
	844	ylbl = ymax+0.01
	845	elif location.lower() == 'bottom':
	846	ymin = lbloffset
	847	ymax = xy[1]-peakoffset
	848	valign = 'top'
	849	ylbl = ymin-0.01
[1425]	850	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	851	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	852	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	853	horizontalalignment='center',
	854	rotation=rotate,transform = trans)
	855	self.axes.set_autoscale_on(True)
[2538]	856
	857	def _alive(self):
	858	# Return True if the GUI alives.
	859	if (not self.is_dead) and \
	860	self.figmgr and hasattr(self.figmgr, "num"):
	861	figid = self.figmgr.num
	862	# Make sure figid=0 is what asapplotter expects.
	863	# It might be already destroied/overridden by matplotlib
	864	# commands or other methods using asaplot.
	865	return _pylab_helpers.Gcf.has_fignum(figid) and \
	866	(self.figmgr == _pylab_helpers.Gcf.get_fig_manager(figid))
	867	return False

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source: trunk/python/asaplotbase.py @ 2699

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