source: branches/Release12/python/asaplotbase.py@ 2065

Last change on this file since 2065 was 710, checked in by mar637, 19 years ago

create_mask now also handles args[0]=list. auto_quotient checks for conformance between # of ons and offs

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 19.0 KB
Line 
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
11from matplotlib.font_manager import FontProperties
12from matplotlib.numerix import sqrt
13from matplotlib import rc, rcParams
14from asap import rcParams as asaprcParams
15
16class asaplotbase:
17 """
18 ASAP plotting base class based on matplotlib.
19 """
20
21 def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
22 """
23 Create a new instance of the ASAPlot plotting class.
24
25 If rows < 1 then a separate call to set_panels() is required to define
26 the panel layout; refer to the doctext for set_panels().
27 """
28 self.is_dead = False
29 self.figure = Figure(figsize=size, facecolor='#ddddee')
30 self.canvas = None
31
32 self.set_title(title)
33 self.subplots = []
34 if rows > 0:
35 self.set_panels(rows, cols)
36
37 # Set matplotlib default colour sequence.
38 self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
39
40 c = asaprcParams['plotter.colours']
41 if isinstance(c,str) and len(c) > 0:
42 self.colormap = c.split()
43
44 self.lsalias = {"line": [1,0],
45 "dashdot": [4,2,1,2],
46 "dashed" : [4,2,4,2],
47 "dotted" : [1,2],
48 "dashdotdot": [4,2,1,2,1,2],
49 "dashdashdot": [4,2,4,2,1,2]
50 }
51
52 styles = "line dashed dotted dashdot".split()
53 c = asaprcParams['plotter.linestyles']
54 if isinstance(c,str) and len(c) > 0:
55 styles = c.split()
56 s = []
57 for ls in styles:
58 if self.lsalias.has_key(ls):
59 s.append(self.lsalias.get(ls))
60 else:
61 s.append('-')
62 self.linestyles = s
63
64 self.color = 0;
65 self.linestyle = 0;
66 self.attributes = {}
67 self.loc = 0
68
69 self.buffering = buffering
70
71 def clear(self):
72 """
73 Delete all lines from the plot. Line numbering will restart from 1.
74 """
75
76 for i in range(len(self.lines)):
77 self.delete(i)
78 self.axes.clear()
79 self.color = 0
80 self.lines = []
81
82 def palette(self, color, colormap=None, linestyle=0, linestyles=None):
83 if colormap:
84 if isinstance(colormap,list):
85 self.colormap = colormap
86 elif isinstance(colormap,str):
87 self.colormap = colormap.split()
88 if 0 <= color < len(self.colormap):
89 self.color = color
90 if linestyles:
91 self.linestyles = []
92 if isinstance(linestyles,list):
93 styles = linestyles
94 elif isinstance(linestyles,str):
95 styles = linestyles.split()
96 for ls in styles:
97 if self.lsalias.has_key(ls):
98 self.linestyles.append(self.lsalias.get(ls))
99 else:
100 self.linestyles.append(self.lsalias.get('line'))
101 if 0 <= linestyle < len(self.linestyles):
102 self.linestyle = linestyle
103
104 def delete(self, numbers=None):
105 """
106 Delete the 0-relative line number, default is to delete the last.
107 The remaining lines are NOT renumbered.
108 """
109
110 if numbers is None: numbers = [len(self.lines)-1]
111
112 if not hasattr(numbers, '__iter__'):
113 numbers = [numbers]
114
115 for number in numbers:
116 if 0 <= number < len(self.lines):
117 if self.lines[number] is not None:
118 for line in self.lines[number]:
119 line.set_linestyle('None')
120 self.lines[number] = None
121 self.show()
122
123 def get_line(self):
124 """
125 Get the current default line attributes.
126 """
127 return self.attributes
128
129
130 def hist(self, x=None, y=None, fmt=None):
131 """
132 Plot a histogram. N.B. the x values refer to the start of the
133 histogram bin.
134
135 fmt is the line style as in plot().
136 """
137
138 if x is None:
139 if y is None: return
140 x = range(0,len(y))
141
142 if len(x) != len(y):
143 return
144
145 l2 = 2*len(x)
146 x2 = range(0,l2)
147 y2 = range(0,l2)
148
149 for i in range(0,l2):
150 x2[i] = x[i/2]
151
152 y2[0] = 0
153 for i in range(1,l2):
154 y2[i] = y[(i-1)/2]
155
156 self.plot(x2, y2, fmt)
157
158
159 def hold(self, hold=True):
160 """
161 Buffer graphics until subsequently released.
162 """
163 self.buffering = hold
164
165
166 def legend(self, loc=None):
167 """
168 Add a legend to the plot.
169
170 Any other value for loc else disables the legend:
171 1: upper right
172 2: upper left
173 3: lower left
174 4: lower right
175 5: right
176 6: center left
177 7: center right
178 8: lower center
179 9: upper center
180 10: center
181
182 """
183 if isinstance(loc,int):
184 if 0 > loc > 10: loc = 0
185 self.loc = loc
186 self.show()
187
188
189 def plot(self, x=None, y=None, mask=None, fmt=None, add=None):
190 """
191 Plot the next line in the current frame using the current line
192 attributes. The ASAPlot graphics window will be mapped and raised.
193
194 The argument list works a bit like the matlab plot() function.
195 """
196
197 if x is None:
198 if y is None: return
199 x = range(len(y))
200
201 elif y is None:
202 y = x
203 x = range(len(y))
204
205 if mask is None:
206 if fmt is None:
207 line = self.axes.plot(x, y)
208 else:
209 line = self.axes.plot(x, y, fmt)
210 else:
211 segments = []
212
213 mask = list(mask)
214 i = 0
215 while mask[i:].count(1):
216 i += mask[i:].index(1)
217 if mask[i:].count(0):
218 j = i + mask[i:].index(0)
219 else:
220 j = len(mask)
221
222 segments.append(x[i:j])
223 segments.append(y[i:j])
224
225 i = j
226
227 line = self.axes.plot(*segments)
228
229 # Add to an existing line?
230 if add is None or len(self.lines) < add < 0:
231 # Don't add.
232 self.lines.append(line)
233 i = len(self.lines) - 1
234 else:
235 if add == 0: add = len(self.lines)
236 i = add - 1
237 self.lines[i].extend(line)
238
239 # Set/reset attributes for the line.
240 gotcolour = False
241 for k, v in self.attributes.iteritems():
242 if k == 'color': gotcolour = True
243 for segment in self.lines[i]:
244 getattr(segment, "set_%s"%k)(v)
245
246 if not gotcolour and len(self.colormap):
247 for segment in self.lines[i]:
248 getattr(segment, "set_color")(self.colormap[self.color])
249 if len(self.colormap) == 1:
250 getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
251 self.color += 1
252 if self.color >= len(self.colormap):
253 self.color = 0
254
255 if len(self.colormap) == 1:
256 self.linestyle += 1
257 if self.linestyle >= len(self.linestyles):
258 self.linestyle = 0
259
260 self.show()
261
262
263 def position(self):
264 """
265 Use the mouse to get a position from a graph.
266 """
267
268 def position_disable(event):
269 self.register('button_press', None)
270 print '%.4f, %.4f' % (event.xdata, event.ydata)
271
272 print 'Press any mouse button...'
273 self.register('button_press', position_disable)
274
275
276 def region(self):
277 """
278 Use the mouse to get a rectangular region from a plot.
279
280 The return value is [x0, y0, x1, y1] in world coordinates.
281 """
282
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)
292
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)
298
299 def region_disable(event):
300 self.register('motion_notify', None)
301 self.register('button_release', None)
302
303 self.canvas._tkcanvas.delete(self.rect['fig'])
304
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])
309
310 self.register('button_press', region_start)
311
312 # This has to be modified to block and return the result (currently
313 # printed by region_disable) when that becomes possible in matplotlib.
314
315 return [0.0, 0.0, 0.0, 0.0]
316
317
318 def register(self, type=None, func=None):
319 """
320 Register, reregister, or deregister events of type 'button_press',
321 'button_release', or 'motion_notify'.
322
323 The specified callback function should have the following signature:
324
325 def func(event)
326
327 where event is an MplEvent instance containing the following data:
328
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.
339
340 For example:
341
342 def mouse_move(event):
343 print event.xdata, event.ydata
344
345 a = asaplot()
346 a.register('motion_notify', mouse_move)
347
348 If func is None, the event is deregistered.
349
350 Note that in TkAgg keyboard button presses don't generate an event.
351 """
352
353 if not self.events.has_key(type): return
354
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
360
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)
371
372 else:
373 self.events[type] = self.canvas.mpl_connect(type + '_event', func)
374
375
376 def release(self):
377 """
378 Release buffered graphics.
379 """
380 self.buffering = False
381 self.show()
382
383
384 def save(self, fname=None, orientation=None, dpi=None):
385 """
386 Save the plot to a file.
387
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 """
393 if fname is None:
394 from datetime import datetime
395 dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
396 fname = 'asap'+dstr+'.png'
397
398 d = ['png','.ps','eps']
399
400 from os.path import expandvars
401 fname = expandvars(fname)
402
403 if fname[-3:].lower() in d:
404 try:
405 if fname[-3:].lower() == ".ps":
406 w = self.figure.figwidth.get()
407 h = self.figure.figheight.get()
408 a4w = 8.25
409 a4h = 11.25
410
411 if orientation is None:
412 # auto oriented
413 if w > h:
414 orientation = 'landscape'
415 else:
416 orientation = 'portrait'
417 ds = None
418 if orientation == 'landscape':
419 ds = min(a4h/w,a4w/h)
420 else:
421 ds = min(a4w/w,a4h/h)
422 ow = ds * w
423 oh = ds * h
424 self.figure.set_figsize_inches((ow,oh))
425 self.canvas.print_figure(fname,orientation=orientation)
426 print 'Written file %s' % (fname)
427 else:
428 if dpi is None:
429 dpi =150
430 self.canvas.print_figure(fname,dpi=dpi)
431 print 'Written file %s' % (fname)
432 except IOError, msg:
433 print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
434 return
435 else:
436 print "Invalid image type. Valid types are:"
437 print "'ps', 'eps', 'png'"
438
439
440 def set_axes(self, what=None, *args, **kwargs):
441 """
442 Set attributes for the axes by calling the relevant Axes.set_*()
443 method. Colour translation is done as described in the doctext
444 for palette().
445 """
446
447 if what is None: return
448 if what[-6:] == 'colour': what = what[:-6] + 'color'
449
450 newargs = {}
451
452 for k, v in kwargs.iteritems():
453 k = k.lower()
454 if k == 'colour': k = 'color'
455 newargs[k] = v
456
457 getattr(self.axes, "set_%s"%what)(*args, **newargs)
458 self.show()
459
460
461 def set_figure(self, what=None, *args, **kwargs):
462 """
463 Set attributes for the figure by calling the relevant Figure.set_*()
464 method. Colour translation is done as described in the doctext
465 for palette().
466 """
467
468 if what is None: return
469 if what[-6:] == 'colour': what = what[:-6] + 'color'
470 #if what[-5:] == 'color' and len(args):
471 # args = (get_colour(args[0]),)
472
473 newargs = {}
474 for k, v in kwargs.iteritems():
475 k = k.lower()
476 if k == 'colour': k = 'color'
477 newargs[k] = v
478
479 getattr(self.figure, "set_%s"%what)(*args, **newargs)
480 self.show()
481
482
483 def set_limits(self, xlim=None, ylim=None):
484 """
485 Set x-, and y-limits for each subplot.
486
487 xlim = [xmin, xmax] as in axes.set_xlim().
488 ylim = [ymin, ymax] as in axes.set_ylim().
489 """
490 for s in self.subplots:
491 self.axes = s['axes']
492 self.lines = s['lines']
493 oldxlim = list(self.axes.get_xlim())
494 oldylim = list(self.axes.get_ylim())
495 if xlim is not None:
496 for i in range(len(xlim)):
497 if xlim[i] is not None:
498 oldxlim[i] = xlim[i]
499 if ylim is not None:
500 for i in range(len(ylim)):
501 if ylim[i] is not None:
502 oldylim[i] = ylim[i]
503 self.axes.set_xlim(oldxlim)
504 self.axes.set_ylim(oldylim)
505 return
506
507
508 def set_line(self, number=None, **kwargs):
509 """
510 Set attributes for the specified line, or else the next line(s)
511 to be plotted.
512
513 number is the 0-relative number of a line that has already been
514 plotted. If no such line exists, attributes are recorded and used
515 for the next line(s) to be plotted.
516
517 Keyword arguments specify Line2D attributes, e.g. color='r'. Do
518
519 import matplotlib
520 help(matplotlib.lines)
521
522 The set_* methods of class Line2D define the attribute names and
523 values. For non-US usage, "colour" is recognized as synonymous with
524 "color".
525
526 Set the value to None to delete an attribute.
527
528 Colour translation is done as described in the doctext for palette().
529 """
530
531 redraw = False
532 for k, v in kwargs.iteritems():
533 k = k.lower()
534 if k == 'colour': k = 'color'
535
536 if 0 <= number < len(self.lines):
537 if self.lines[number] is not None:
538 for line in self.lines[number]:
539 getattr(line, "set_%s"%k)(v)
540 redraw = True
541 else:
542 if v is None:
543 del self.attributes[k]
544 else:
545 self.attributes[k] = v
546
547 if redraw: self.show()
548
549
550 def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
551 """
552 Set the panel layout.
553
554 rows and cols, if cols != 0, specify the number of rows and columns in
555 a regular layout. (Indexing of these panels in matplotlib is row-
556 major, i.e. column varies fastest.)
557
558 cols == 0 is interpreted as a retangular layout that accomodates
559 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
560 rows == 2, cols == 3.
561
562 0 <= n < rows*cols is interpreted as the 0-relative panel number in
563 the configuration specified by rows and cols to be added to the
564 current figure as its next 0-relative panel number (i). This allows
565 non-regular panel layouts to be constructed via multiple calls. Any
566 other value of n clears the plot and produces a rectangular array of
567 empty panels. The number of these may be limited by nplots.
568 """
569 if n < 0 and len(self.subplots):
570 self.figure.clear()
571 self.set_title()
572
573 if rows < 1: rows = 1
574
575 if cols <= 0:
576 i = int(sqrt(rows))
577 if i*i < rows: i += 1
578 cols = i
579
580 if i*(i-1) >= rows: i -= 1
581 rows = i
582
583 if 0 <= n < rows*cols:
584 i = len(self.subplots)
585 self.subplots.append({})
586
587 self.subplots[i]['axes'] = self.figure.add_subplot(rows,
588 cols, n+1)
589 self.subplots[i]['lines'] = []
590
591 if i == 0: self.subplot(0)
592
593 self.rows = 0
594 self.cols = 0
595
596 else:
597 self.subplots = []
598
599 if nplots < 1 or rows*cols < nplots:
600 nplots = rows*cols
601
602 for i in range(nplots):
603 self.subplots.append({})
604
605 self.subplots[i]['axes'] = self.figure.add_subplot(rows,
606 cols, i+1)
607 self.subplots[i]['lines'] = []
608 xfsize = self.subplots[i]['axes'].xaxis.label.get_size()-cols/2
609 yfsize = self.subplots[i]['axes'].yaxis.label.get_size()-rows/2
610 self.subplots[i]['axes'].xaxis.label.set_size(xfsize)
611 self.subplots[i]['axes'].yaxis.label.set_size(yfsize)
612
613 if ganged:
614 if rows > 1 or cols > 1:
615 # Squeeze the plots together.
616 pos = self.subplots[i]['axes'].get_position()
617 if cols > 1: pos[2] *= 1.2
618 if rows > 1: pos[3] *= 1.2
619 self.subplots[i]['axes'].set_position(pos)
620
621 # Suppress tick labelling for interior subplots.
622 if i <= (rows-1)*cols - 1:
623 if i+cols < nplots:
624 # Suppress x-labels for frames width
625 # adjacent frames
626 for tick in \
627 self.subplots[i]['axes'].xaxis.majorTicks:
628 tick.label1On = False
629 self.subplots[i]['axes'].xaxis.label.set_visible(False)
630 if i%cols:
631 # Suppress y-labels for frames not in the left column.
632 for tick in self.subplots[i]['axes'].yaxis.majorTicks:
633 tick.label1On = False
634 self.subplots[i]['axes'].yaxis.label.set_visible(False)
635
636
637 self.rows = rows
638 self.cols = cols
639
640 self.subplot(0)
641
642 def set_title(self, title=None):
643 """
644 Set the title of the plot window. Use the previous title if title is
645 omitted.
646 """
647 if title is not None:
648 self.title = title
649
650 self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
651
652
653 def show(self):
654 """
655 Show graphics dependent on the current buffering state.
656 """
657 if not self.buffering:
658 if self.loc is not None:
659 for j in range(len(self.subplots)):
660 lines = []
661 labels = []
662 i = 0
663 for line in self.subplots[j]['lines']:
664 i += 1
665 if line is not None:
666 lines.append(line[0])
667 lbl = line[0].get_label()
668 if lbl == '':
669 lbl = str(i)
670 labels.append(lbl)
671
672 if len(lines):
673 self.subplots[j]['axes'].legend(tuple(lines),
674 tuple(labels),
675 self.loc)
676 else:
677 self.subplots[j]['axes'].legend((' '))
678
679
680 def subplot(self, i=None, inc=None):
681 """
682 Set the subplot to the 0-relative panel number as defined by one or
683 more invokations of set_panels().
684 """
685 l = len(self.subplots)
686 if l:
687 if i is not None:
688 self.i = i
689
690 if inc is not None:
691 self.i += inc
692
693 self.i %= l
694 self.axes = self.subplots[self.i]['axes']
695 self.lines = self.subplots[self.i]['lines']
696
697
698 def text(self, *args, **kwargs):
699 """
700 Add text to the figure.
701 """
702 self.figure.text(*args, **kwargs)
703 self.show()
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