source: trunk/python/asaplotbase.py@ 1149

Last change on this file since 1149 was 1147, checked in by mar637, 18 years ago

added linecatalog plotting; soem font scaling fixes

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