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asaplotbase.py@ 2552

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Last change on this file since 2552 was 2538, checked in by Kana Sugimoto, 12 years ago

New Development: No

JIRA Issue: Yes (related to CAS-3749)

Ready for Test: Yes

Interface Changes: Yes

What Interface Changed: added a new method, _alive(), in asaplotbase class

Test Programs: Interactive tests

Put in Release Notes: No

Module(s):

Description:

Added a new method, _alive(), in asaplotbase class. The method return True
if asaplot instance is alive. More complete check compared to 'is_dead' parameter.
asapplotter._assert_plotter method is simplified by calling this function.

Fixed misc bugs found in interactive tests.

set back linewidth = 1 in plots invoked by modules, interactivemask, asapmath, and asapfitter.
interactivemask module: plotter in properly quited at the end.
interactivemask module: avoid error when user close interacive plot window before calling the finalization method, finish_selection().
added definition of a dummy function, quit(), in asaplot class.

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

File size: 29.8 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
[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()
	58
	59	self.lsalias = {"line": [1,0],
	60	"dashdot": [4,2,1,2],
	61	"dashed" : [4,2,4,2],
	62	"dotted" : [1,2],
	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	"""
[1147]	92	Delete all lines from the plot. Line numbering will restart from 0.
[1019]	93	"""
[705]	94
[1019]	95	for i in range(len(self.lines)):
	96	self.delete(i)
	97	self.axes.clear()
	98	self.color = 0
	99	self.lines = []
[705]	100
[710]	101	def palette(self, color, colormap=None, linestyle=0, linestyles=None):
[705]	102	if colormap:
[710]	103	if isinstance(colormap,list):
	104	self.colormap = colormap
	105	elif isinstance(colormap,str):
	106	self.colormap = colormap.split()
[705]	107	if 0 <= color < len(self.colormap):
	108	self.color = color
[710]	109	if linestyles:
	110	self.linestyles = []
	111	if isinstance(linestyles,list):
	112	styles = linestyles
	113	elif isinstance(linestyles,str):
	114	styles = linestyles.split()
	115	for ls in styles:
	116	if self.lsalias.has_key(ls):
	117	self.linestyles.append(self.lsalias.get(ls))
	118	else:
	119	self.linestyles.append(self.lsalias.get('line'))
	120	if 0 <= linestyle < len(self.linestyles):
	121	self.linestyle = linestyle
[705]	122
	123	def delete(self, numbers=None):
[1019]	124	"""
	125	Delete the 0-relative line number, default is to delete the last.
	126	The remaining lines are NOT renumbered.
	127	"""
[705]	128
[1019]	129	if numbers is None: numbers = [len(self.lines)-1]
[705]	130
[1019]	131	if not hasattr(numbers, '__iter__'):
	132	numbers = [numbers]
[705]	133
[1019]	134	for number in numbers:
	135	if 0 <= number < len(self.lines):
	136	if self.lines[number] is not None:
	137	for line in self.lines[number]:
	138	line.set_linestyle('None')
	139	self.lines[number] = None
	140	self.show()
[705]	141
	142	def get_line(self):
[1019]	143	"""
	144	Get the current default line attributes.
	145	"""
	146	return self.attributes
[705]	147
	148
[1086]	149	def hist(self, x=None, y=None, fmt=None, add=None):
[1019]	150	"""
	151	Plot a histogram. N.B. the x values refer to the start of the
	152	histogram bin.
[705]	153
[1019]	154	fmt is the line style as in plot().
	155	"""
[1739]	156	from numpy import array
	157	from numpy.ma import MaskedArray
[1019]	158	if x is None:
	159	if y is None: return
[1023]	160	x = range(len(y))
[705]	161
[1019]	162	if len(x) != len(y):
	163	return
	164	l2 = 2*len(x)
[1023]	165	x2 = range(l2)
[1086]	166	y2 = range(12)
[1023]	167	y2 = range(l2)
	168	m2 = range(l2)
[1553]	169	ymsk = None
	170	ydat = None
	171	if hasattr(y, "raw_mask"):
	172	# numpy < 1.1
	173	ymsk = y.raw_mask()
	174	ydat = y.raw_data()
	175	else:
	176	ymsk = y.mask
	177	ydat = y.data
[1023]	178	for i in range(l2):
[1019]	179	x2[i] = x[i/2]
[1086]	180	m2[i] = ymsk[i/2]
[705]	181
[1023]	182	y2[0] = 0.0
[1019]	183	for i in range(1,l2):
[1086]	184	y2[i] = ydat[(i-1)/2]
[705]	185
[1086]	186	self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
[705]	187
	188
	189	def hold(self, hold=True):
[1019]	190	"""
	191	Buffer graphics until subsequently released.
	192	"""
	193	self.buffering = hold
[705]	194
	195
	196	def legend(self, loc=None):
[1019]	197	"""
	198	Add a legend to the plot.
[705]	199
[1019]	200	Any other value for loc else disables the legend:
	201	1: upper right
	202	2: upper left
	203	3: lower left
	204	4: lower right
	205	5: right
	206	6: center left
	207	7: center right
	208	8: lower center
	209	9: upper center
	210	10: center
[705]	211
[1019]	212	"""
[1095]	213	if isinstance(loc, int):
[1098]	214	self.loc = None
	215	if 0 <= loc <= 10: self.loc = loc
[1095]	216	else:
	217	self.loc = None
	218	#self.show()
[705]	219
	220
[1086]	221	def plot(self, x=None, y=None, fmt=None, add=None):
[1019]	222	"""
	223	Plot the next line in the current frame using the current line
	224	attributes. The ASAPlot graphics window will be mapped and raised.
[705]	225
[1019]	226	The argument list works a bit like the matlab plot() function.
	227	"""
	228	if x is None:
	229	if y is None: return
	230	x = range(len(y))
[705]	231
[1019]	232	elif y is None:
	233	y = x
	234	x = range(len(y))
[1086]	235	if fmt is None:
	236	line = self.axes.plot(x, y)
[1019]	237	else:
[1086]	238	line = self.axes.plot(x, y, fmt)
[1980]	239	# add a picker to lines for spectral value mode.
	240	# matplotlib.axes.plot returns a list of line object (1 element)
	241	line[0].set_picker(5.0)
[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
[1546]	292	def get_region(self):
	293	pos = []
[1568]	294	print "Please select the bottom/left point"
[1546]	295	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
[1568]	296	print "Please select the top/right point"
[1546]	297	pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
	298	return pos
	299
	300	def get_point(self):
[1568]	301	print "Please select the point"
[1553]	302	pt = self.figure.ginput(n=1, show_clicks=False)
	303	if pt:
	304	return pt[0]
	305	else:
	306	return None
[1546]	307
[705]	308	def region(self):
[1019]	309	"""
	310	Use the mouse to get a rectangular region from a plot.
[705]	311
[1019]	312	The return value is [x0, y0, x1, y1] in world coordinates.
	313	"""
[705]	314
[1019]	315	def region_start(event):
[1819]	316	self.rect = {'x': event.x, 'y': event.y,
[1019]	317	'world': [event.xdata, event.ydata,
	318	event.xdata, event.ydata]}
	319	self.register('button_press', None)
	320	self.register('motion_notify', region_draw)
	321	self.register('button_release', region_disable)
[705]	322
[1019]	323	def region_draw(event):
[1819]	324	self.figmgr.toolbar.draw_rubberband(event, event.x, event.y,
	325	self.rect['x'], self.rect['y'])
[1826]	326
[1019]	327	def region_disable(event):
	328	self.register('motion_notify', None)
	329	self.register('button_release', None)
[705]	330
[1019]	331	self.rect['world'][2:4] = [event.xdata, event.ydata]
	332	print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
	333	self.rect['world'][1], self.rect['world'][2],
	334	self.rect['world'][3])
[1819]	335	self.figmgr.toolbar.release(event)
[705]	336
[1019]	337	self.register('button_press', region_start)
[705]	338
[1019]	339	# This has to be modified to block and return the result (currently
	340	# printed by region_disable) when that becomes possible in matplotlib.
[705]	341
[1019]	342	return [0.0, 0.0, 0.0, 0.0]
[705]	343
	344
	345	def register(self, type=None, func=None):
[1019]	346	"""
	347	Register, reregister, or deregister events of type 'button_press',
	348	'button_release', or 'motion_notify'.
[705]	349
[1019]	350	The specified callback function should have the following signature:
[705]	351
[1019]	352	def func(event)
[705]	353
[1019]	354	where event is an MplEvent instance containing the following data:
[705]	355
[1019]	356	name # Event name.
	357	canvas # FigureCanvas instance generating the event.
	358	x = None # x position - pixels from left of canvas.
	359	y = None # y position - pixels from bottom of canvas.
	360	button = None # Button pressed: None, 1, 2, 3.
	361	key = None # Key pressed: None, chr(range(255)), shift,
	362	win, or control
	363	inaxes = None # Axes instance if cursor within axes.
	364	xdata = None # x world coordinate.
	365	ydata = None # y world coordinate.
[705]	366
[1019]	367	For example:
[705]	368
[1019]	369	def mouse_move(event):
	370	print event.xdata, event.ydata
[705]	371
[1019]	372	a = asaplot()
	373	a.register('motion_notify', mouse_move)
[705]	374
[1019]	375	If func is None, the event is deregistered.
[705]	376
[1019]	377	Note that in TkAgg keyboard button presses don't generate an event.
	378	"""
[705]	379
[1019]	380	if not self.events.has_key(type): return
[705]	381
[1019]	382	if func is None:
	383	if self.events[type] is not None:
	384	# It's not clear that this does anything.
	385	self.canvas.mpl_disconnect(self.events[type])
	386	self.events[type] = None
[705]	387
[1819]	388	# It seems to be necessary to return events to the toolbar. <-- Not ture. 2010.Jul.14.kana.
	389	#if type == 'motion_notify':
	390	# self.canvas.mpl_connect(type + '_event',
	391	# self.figmgr.toolbar.mouse_move)
	392	#elif type == 'button_press':
	393	# self.canvas.mpl_connect(type + '_event',
	394	# self.figmgr.toolbar.press)
	395	#elif type == 'button_release':
	396	# self.canvas.mpl_connect(type + '_event',
	397	# self.figmgr.toolbar.release)
[705]	398
[1019]	399	else:
	400	self.events[type] = self.canvas.mpl_connect(type + '_event', func)
[705]	401
	402
	403	def release(self):
[1019]	404	"""
	405	Release buffered graphics.
	406	"""
	407	self.buffering = False
	408	self.show()
[705]	409
	410
[1095]	411	def save(self, fname=None, orientation=None, dpi=None, papertype=None):
[1019]	412	"""
	413	Save the plot to a file.
[705]	414
[1019]	415	fname is the name of the output file. The image format is determined
	416	from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
	417	file name is specified 'yyyymmdd_hhmmss.png' is created in the current
	418	directory.
	419	"""
[1095]	420	from asap import rcParams
	421	if papertype is None:
	422	papertype = rcParams['plotter.papertype']
[1019]	423	if fname is None:
	424	from datetime import datetime
	425	dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
	426	fname = 'asap'+dstr+'.png'
[705]	427
[1870]	428	d = ['png','.ps','eps', 'svg']
[705]	429
[1019]	430	from os.path import expandvars
	431	fname = expandvars(fname)
[705]	432
[1019]	433	if fname[-3:].lower() in d:
	434	try:
[705]	435	if fname[-3:].lower() == ".ps":
[1020]	436	from matplotlib import __version__ as mv
[1479]	437	w = self.figure.get_figwidth()
	438	h = self.figure.get_figheight()
[1019]	439
[705]	440	if orientation is None:
[1147]	441	# oriented
[705]	442	if w > h:
	443	orientation = 'landscape'
	444	else:
	445	orientation = 'portrait'
[1095]	446	from matplotlib.backends.backend_ps import papersize
	447	pw,ph = papersize[papertype.lower()]
[1025]	448	ds = None
	449	if orientation == 'landscape':
[1095]	450	ds = min(ph/w, pw/h)
[1025]	451	else:
[1095]	452	ds = min(pw/w, ph/h)
[1025]	453	ow = ds * w
	454	oh = ds * h
[1479]	455	self.figure.set_size_inches((ow, oh))
[1095]	456	self.figure.savefig(fname, orientation=orientation,
	457	papertype=papertype.lower())
[1479]	458	self.figure.set_size_inches((w, h))
[705]	459	print 'Written file %s' % (fname)
[1019]	460	else:
[705]	461	if dpi is None:
	462	dpi =150
[1025]	463	self.figure.savefig(fname,dpi=dpi)
[705]	464	print 'Written file %s' % (fname)
[1019]	465	except IOError, msg:
[1819]	466	#print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
[1861]	467	asaplog.post()
[1819]	468	asaplog.push('Failed to save %s: Error msg was\n\n%s' % (fname, str(msg)))
[1861]	469	asaplog.post( 'ERROR' )
[1019]	470	return
	471	else:
[1819]	472	#print "Invalid image type. Valid types are:"
	473	#print "'ps', 'eps', 'png'"
	474	asaplog.push( "Invalid image type. Valid types are:" )
[1870]	475	asaplog.push( "'ps', 'eps', 'png', 'svg'" )
[1861]	476	asaplog.post('WARN')
[705]	477
	478
	479	def set_axes(self, what=None, args, *kwargs):
[1019]	480	"""
	481	Set attributes for the axes by calling the relevant Axes.set_*()
	482	method. Colour translation is done as described in the doctext
	483	for palette().
	484	"""
[705]	485
[1019]	486	if what is None: return
	487	if what[-6:] == 'colour': what = what[:-6] + 'color'
[705]	488
[1153]	489	key = "colour"
	490	if kwargs.has_key(key):
	491	val = kwargs.pop(key)
	492	kwargs["color"] = val
[705]	493
[1153]	494	getattr(self.axes, "set_%s"%what)(args, *kwargs)
[705]	495
[1153]	496	self.show(hardrefresh=False)
[705]	497
[1019]	498
[705]	499	def set_figure(self, what=None, args, *kwargs):
[1019]	500	"""
	501	Set attributes for the figure by calling the relevant Figure.set_*()
	502	method. Colour translation is done as described in the doctext
	503	for palette().
	504	"""
[705]	505
[1019]	506	if what is None: return
	507	if what[-6:] == 'colour': what = what[:-6] + 'color'
	508	#if what[-5:] == 'color' and len(args):
	509	# args = (get_colour(args[0]),)
[705]	510
[1019]	511	newargs = {}
	512	for k, v in kwargs.iteritems():
	513	k = k.lower()
	514	if k == 'colour': k = 'color'
	515	newargs[k] = v
[705]	516
[1019]	517	getattr(self.figure, "set_%s"%what)(args, *newargs)
[1153]	518	self.show(hardrefresh=False)
[705]	519
	520
	521	def set_limits(self, xlim=None, ylim=None):
[1019]	522	"""
	523	Set x-, and y-limits for each subplot.
[705]	524
[1019]	525	xlim = [xmin, xmax] as in axes.set_xlim().
	526	ylim = [ymin, ymax] as in axes.set_ylim().
	527	"""
	528	for s in self.subplots:
	529	self.axes = s['axes']
	530	self.lines = s['lines']
[705]	531	oldxlim = list(self.axes.get_xlim())
	532	oldylim = list(self.axes.get_ylim())
	533	if xlim is not None:
	534	for i in range(len(xlim)):
	535	if xlim[i] is not None:
	536	oldxlim[i] = xlim[i]
[1019]	537	if ylim is not None:
[705]	538	for i in range(len(ylim)):
	539	if ylim[i] is not None:
	540	oldylim[i] = ylim[i]
	541	self.axes.set_xlim(oldxlim)
	542	self.axes.set_ylim(oldylim)
	543	return
	544
	545
	546	def set_line(self, number=None, **kwargs):
[1019]	547	"""
	548	Set attributes for the specified line, or else the next line(s)
	549	to be plotted.
[705]	550
[1019]	551	number is the 0-relative number of a line that has already been
	552	plotted. If no such line exists, attributes are recorded and used
	553	for the next line(s) to be plotted.
[705]	554
[1019]	555	Keyword arguments specify Line2D attributes, e.g. color='r'. Do
[705]	556
[1019]	557	import matplotlib
	558	help(matplotlib.lines)
[705]	559
[1019]	560	The set_* methods of class Line2D define the attribute names and
[2451]	561	values. For non-US usage, 'colour' is recognized as synonymous with
	562	'color'.
[705]	563
[1019]	564	Set the value to None to delete an attribute.
[705]	565
[1019]	566	Colour translation is done as described in the doctext for palette().
	567	"""
[705]	568
[1019]	569	redraw = False
	570	for k, v in kwargs.iteritems():
	571	k = k.lower()
	572	if k == 'colour': k = 'color'
[705]	573
[1019]	574	if 0 <= number < len(self.lines):
	575	if self.lines[number] is not None:
	576	for line in self.lines[number]:
	577	getattr(line, "set_%s"%k)(v)
	578	redraw = True
	579	else:
	580	if v is None:
	581	del self.attributes[k]
	582	else:
	583	self.attributes[k] = v
[705]	584
[1153]	585	if redraw: self.show(hardrefresh=False)
[705]	586
	587
[1819]	588	#def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
[2037]	589	def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, margin=None,ganged=True):
[1019]	590	"""
	591	Set the panel layout.
[705]	592
[1019]	593	rows and cols, if cols != 0, specify the number of rows and columns in
	594	a regular layout. (Indexing of these panels in matplotlib is row-
	595	major, i.e. column varies fastest.)
[705]	596
[1019]	597	cols == 0 is interpreted as a retangular layout that accomodates
	598	'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
	599	rows == 2, cols == 3.
[705]	600
[1019]	601	0 <= n < rows*cols is interpreted as the 0-relative panel number in
	602	the configuration specified by rows and cols to be added to the
	603	current figure as its next 0-relative panel number (i). This allows
	604	non-regular panel layouts to be constructed via multiple calls. Any
	605	other value of n clears the plot and produces a rectangular array of
	606	empty panels. The number of these may be limited by nplots.
	607	"""
	608	if n < 0 and len(self.subplots):
	609	self.figure.clear()
	610	self.set_title()
[705]	611
[2037]	612	if margin:
	613	lef, bot, rig, top, wsp, hsp = margin
[1819]	614	self.figure.subplots_adjust(
	615	left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
	616	del lef,bot,rig,top,wsp,hsp
	617
[1019]	618	if rows < 1: rows = 1
[705]	619
[1019]	620	if cols <= 0:
	621	i = int(sqrt(rows))
	622	if i*i < rows: i += 1
	623	cols = i
[705]	624
[1019]	625	if i*(i-1) >= rows: i -= 1
	626	rows = i
[705]	627
[1019]	628	if 0 <= n < rows*cols:
	629	i = len(self.subplots)
[1819]	630
[1019]	631	self.subplots.append({})
[705]	632
[1019]	633	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	634	cols, n+1)
	635	self.subplots[i]['lines'] = []
[705]	636
[1019]	637	if i == 0: self.subplot(0)
[705]	638
[1019]	639	self.rows = 0
	640	self.cols = 0
[705]	641
[1019]	642	else:
	643	self.subplots = []
[705]	644
[1019]	645	if nplots < 1 or rows*cols < nplots:
	646	nplots = rows*cols
[1025]	647	if ganged:
	648	hsp,wsp = None,None
	649	if rows > 1: hsp = 0.0001
	650	if cols > 1: wsp = 0.0001
	651	self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
[1019]	652	for i in range(nplots):
	653	self.subplots.append({})
[1153]	654	self.subplots[i]['lines'] = []
	655	if not ganged:
	656	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
[1019]	657	cols, i+1)
[1560]	658	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1513]	659	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	660	else:
	661	if i == 0:
	662	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	663	cols, i+1)
[1560]	664	if asaprcParams['plotter.axesformatting'] != 'mpl':
[1826]	665
[1513]	666	self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
[1153]	667	else:
	668	self.subplots[i]['axes'] = self.figure.add_subplot(rows,
	669	cols, i+1,
	670	sharex=self.subplots[0]['axes'],
	671	sharey=self.subplots[0]['axes'])
[1259]	672
[705]	673	# Suppress tick labelling for interior subplots.
	674	if i <= (rows-1)*cols - 1:
	675	if i+cols < nplots:
	676	# Suppress x-labels for frames width
	677	# adjacent frames
[1153]	678	for tick in self.subplots[i]['axes'].xaxis.majorTicks:
	679	tick.label1On = False
[1926]	680	#self.subplots[i]['axes'].xaxis.label.set_visible(False)
[705]	681	if i%cols:
	682	# Suppress y-labels for frames not in the left column.
	683	for tick in self.subplots[i]['axes'].yaxis.majorTicks:
	684	tick.label1On = False
[1926]	685	#self.subplots[i]['axes'].yaxis.label.set_visible(False)
[1025]	686	# disable the first tick of [1:ncol-1] of the last row
[1153]	687	#if i+1 < nplots:
	688	# self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
[1926]	689	# set axes label state for interior subplots.
	690	if i%cols:
	691	self.subplots[i]['axes'].yaxis.label.set_visible(False)
	692	if (i <= (rows-1)*cols - 1) and (i+cols < nplots):
	693	self.subplots[i]['axes'].xaxis.label.set_visible(False)
	694	self.rows = rows
	695	self.cols = cols
[1019]	696	self.subplot(0)
[2037]	697	del rows,cols,n,nplots,margin,ganged,i
[705]	698
[1926]	699
[1153]	700	def tidy(self):
	701	# this needs to be exceuted after the first "refresh"
	702	nplots = len(self.subplots)
	703	if nplots == 1: return
	704	for i in xrange(nplots):
	705	ax = self.subplots[i]['axes']
	706	if i%self.cols:
	707	ax.xaxis.majorTicks[0].label1On = False
	708	else:
	709	if i != 0:
	710	ax.yaxis.majorTicks[-1].label1On = False
[1926]	711	## set axes label state for interior subplots.
	712	#innerax=False
	713	#if i%self.cols:
	714	# ax.yaxis.label.set_visible(innerax)
	715	#if (i <= (self.rows-1)*self.cols - 1) and (i+self.cols < nplots):
	716	# ax.xaxis.label.set_visible(innerax)
	717
[1153]	718
[705]	719	def set_title(self, title=None):
[1019]	720	"""
	721	Set the title of the plot window. Use the previous title if title is
	722	omitted.
	723	"""
	724	if title is not None:
	725	self.title = title
[705]	726
[1019]	727	self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
[705]	728
	729
[1153]	730	def show(self, hardrefresh=True):
[1019]	731	"""
	732	Show graphics dependent on the current buffering state.
	733	"""
[1153]	734	if not hardrefresh: return
[1019]	735	if not self.buffering:
	736	if self.loc is not None:
[1086]	737	for sp in self.subplots:
[1019]	738	lines = []
	739	labels = []
	740	i = 0
[1086]	741	for line in sp['lines']:
[1019]	742	i += 1
	743	if line is not None:
	744	lines.append(line[0])
	745	lbl = line[0].get_label()
	746	if lbl == '':
	747	lbl = str(i)
	748	labels.append(lbl)
[705]	749
[1019]	750	if len(lines):
[1147]	751	fp = FP(size=rcParams['legend.fontsize'])
[2068]	752	#fsz = fp.get_size_in_points() - len(lines)
	753	fsz = fp.get_size_in_points() - max(len(lines),self.cols)
	754	#fp.set_size(max(fsz,6))
	755	fp.set_size(max(fsz,8))
[1086]	756	sp['axes'].legend(tuple(lines), tuple(labels),
[1147]	757	self.loc, prop=fp)
[1946]	758	#else:
	759	# sp['axes'].legend((' '))
[705]	760
[1086]	761	from matplotlib.artist import setp
[1560]	762	fpx = FP(size=rcParams['xtick.labelsize'])
	763	xts = fpx.get_size_in_points()- (self.cols)/2
	764	fpy = FP(size=rcParams['ytick.labelsize'])
	765	yts = fpy.get_size_in_points() - (self.rows)/2
	766	fpa = FP(size=rcParams['axes.labelsize'])
	767	fpat = FP(size=rcParams['axes.titlesize'])
	768	axsize = fpa.get_size_in_points()
[1819]	769	tsize = fpat.get_size_in_points()-(self.cols)/2
[1086]	770	for sp in self.subplots:
	771	ax = sp['axes']
[1819]	772	ax.title.set_size(tsize)
[1086]	773	setp(ax.get_xticklabels(), fontsize=xts)
	774	setp(ax.get_yticklabels(), fontsize=yts)
	775	off = 0
[1819]	776	if self.cols > 1: off = self.cols
[1560]	777	ax.xaxis.label.set_size(axsize-off)
[1819]	778	off = 0
	779	if self.rows > 1: off = self.rows
[1560]	780	ax.yaxis.label.set_size(axsize-off)
[705]	781
	782	def subplot(self, i=None, inc=None):
[1019]	783	"""
	784	Set the subplot to the 0-relative panel number as defined by one or
	785	more invokations of set_panels().
	786	"""
	787	l = len(self.subplots)
	788	if l:
	789	if i is not None:
	790	self.i = i
[705]	791
[1019]	792	if inc is not None:
	793	self.i += inc
[705]	794
[1019]	795	self.i %= l
	796	self.axes = self.subplots[self.i]['axes']
	797	self.lines = self.subplots[self.i]['lines']
[705]	798
	799	def text(self, args, *kwargs):
[1019]	800	"""
	801	Add text to the figure.
	802	"""
	803	self.figure.text(args, *kwargs)
	804	self.show()
[1147]	805
	806	def vline_with_label(self, x, y, label,
	807	location='bottom', rotate=0.0, **kwargs):
	808	"""
	809	Plot a vertical line with label.
	810	It takes "world" values fo x and y.
	811	"""
	812	ax = self.axes
	813	# need this to suppress autoscaling during this function
	814	self.axes.set_autoscale_on(False)
	815	ymin = 0.0
	816	ymax = 1.0
	817	valign = 'center'
	818	if location.lower() == 'top':
	819	y = max(0.0, y)
	820	elif location.lower() == 'bottom':
	821	y = min(0.0, y)
	822	lbloffset = 0.06
	823	# a rough estimate for the bb of the text
	824	if rotate > 0.0: lbloffset = 0.03*len(label)
	825	peakoffset = 0.01
[1535]	826	xy = None
	827	xy0 = None
	828	# matplotlib api change 0.98 is using transform now
	829	if hasattr(ax.transData, "inverse_xy_tup"):
	830	# get relative coords
	831	xy0 = ax.transData.xy_tup((x,y))
	832	xy = ax.transAxes.inverse_xy_tup(xy0)
	833	else:
	834	xy0 = ax.transData.transform((x,y))
	835	# get relative coords
	836	xy = ax.transAxes.inverted().transform(xy0)
[1147]	837	if location.lower() == 'top':
	838	ymax = 1.0-lbloffset
	839	ymin = xy[1]+peakoffset
	840	valign = 'bottom'
	841	ylbl = ymax+0.01
	842	elif location.lower() == 'bottom':
	843	ymin = lbloffset
	844	ymax = xy[1]-peakoffset
	845	valign = 'top'
	846	ylbl = ymin-0.01
[1425]	847	trans = blended_transform_factory(ax.transData, ax.transAxes)
[1147]	848	l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
	849	t = ax.text(x, ylbl ,label, verticalalignment=valign,
	850	horizontalalignment='center',
	851	rotation=rotate,transform = trans)
	852	self.axes.set_autoscale_on(True)
[2538]	853
	854	def _alive(self):
	855	# Return True if the GUI alives.
	856	if (not self.is_dead) and \
	857	self.figmgr and hasattr(self.figmgr, "num"):
	858	figid = self.figmgr.num
	859	# Make sure figid=0 is what asapplotter expects.
	860	# It might be already destroied/overridden by matplotlib
	861	# commands or other methods using asaplot.
	862	return _pylab_helpers.Gcf.has_fignum(figid) and \
	863	(self.figmgr == _pylab_helpers.Gcf.get_fig_manager(figid))
	864	return False

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source: trunk/python/asaplotbase.py@ 2552

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