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