source: trunk/python/asaplotbase.py@ 1437

Last change on this file since 1437 was 1425, checked in by Malte Marquarding, 16 years ago

Handle api change in matplotlib-0.98

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