source: trunk/python/asaplotbase.py@ 2663

Last change on this file since 2663 was 2538, checked in by Kana Sugimoto, 13 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.

  1. set back linewidth = 1 in plots invoked by modules, interactivemask, asapmath, and asapfitter.
  2. interactivemask module: plotter in properly quited at the end.
  3. interactivemask module: avoid error when user close interacive plot window before calling the finalization method, finish_selection().
  4. 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
RevLine 
[705]1"""
2ASAP plotting class based on matplotlib.
3"""
4
5import sys
6from re import match
7import matplotlib
8
9from matplotlib.figure import Figure, Text
[1147]10from matplotlib.font_manager import FontProperties as FP
[1739]11from numpy import sqrt
[705]12from matplotlib import rc, rcParams
[1259]13from matplotlib.ticker import OldScalarFormatter
[2538]14from matplotlib import _pylab_helpers
[1147]15
[1826]16from asap.parameters import rcParams as asaprcParams
[1861]17from asap.logging import asaplog
[1826]18
[1425]19# API change in mpl >= 0.98
20try:
21 from matplotlib.transforms import blended_transform_factory
22except ImportError:
[1560]23 from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
[1425]24
[2169]25mvers = matplotlib.__version__.split(".")
26if 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]31class 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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