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 |
|
---|
18 | class MyFormatter(ScalarFormatter):
|
---|
19 | def __call__(self, x, pos=None):
|
---|
20 | #last = len(self.locs)-2
|
---|
21 | if pos==0:
|
---|
22 | return ''
|
---|
23 | else: return ScalarFormatter.__call__(self, x, pos)
|
---|
24 |
|
---|
25 | class asaplotbase:
|
---|
26 | """
|
---|
27 | ASAP plotting base class based on matplotlib.
|
---|
28 | """
|
---|
29 |
|
---|
30 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
|
---|
31 | """
|
---|
32 | Create a new instance of the ASAPlot plotting class.
|
---|
33 |
|
---|
34 | If rows < 1 then a separate call to set_panels() is required to define
|
---|
35 | the panel layout; refer to the doctext for set_panels().
|
---|
36 | """
|
---|
37 | self.is_dead = False
|
---|
38 | self.figure = Figure(figsize=size, facecolor='#ddddee')
|
---|
39 | self.canvas = None
|
---|
40 |
|
---|
41 | self.set_title(title)
|
---|
42 | self.subplots = []
|
---|
43 | if rows > 0:
|
---|
44 | self.set_panels(rows, cols)
|
---|
45 |
|
---|
46 | # Set matplotlib default colour sequence.
|
---|
47 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
|
---|
48 |
|
---|
49 | c = asaprcParams['plotter.colours']
|
---|
50 | if isinstance(c,str) and len(c) > 0:
|
---|
51 | self.colormap = c.split()
|
---|
52 |
|
---|
53 | self.lsalias = {"line": [1,0],
|
---|
54 | "dashdot": [4,2,1,2],
|
---|
55 | "dashed" : [4,2,4,2],
|
---|
56 | "dotted" : [1,2],
|
---|
57 | "dashdotdot": [4,2,1,2,1,2],
|
---|
58 | "dashdashdot": [4,2,4,2,1,2]
|
---|
59 | }
|
---|
60 |
|
---|
61 | styles = "line dashed dotted dashdot".split()
|
---|
62 | c = asaprcParams['plotter.linestyles']
|
---|
63 | if isinstance(c,str) and len(c) > 0:
|
---|
64 | styles = c.split()
|
---|
65 | s = []
|
---|
66 | for ls in styles:
|
---|
67 | if self.lsalias.has_key(ls):
|
---|
68 | s.append(self.lsalias.get(ls))
|
---|
69 | else:
|
---|
70 | s.append('-')
|
---|
71 | self.linestyles = s
|
---|
72 |
|
---|
73 | self.color = 0;
|
---|
74 | self.linestyle = 0;
|
---|
75 | self.attributes = {}
|
---|
76 | self.loc = 0
|
---|
77 |
|
---|
78 | self.buffering = buffering
|
---|
79 |
|
---|
80 | def clear(self):
|
---|
81 | """
|
---|
82 | Delete all lines from the plot. Line numbering will restart from 1.
|
---|
83 | """
|
---|
84 |
|
---|
85 | for i in range(len(self.lines)):
|
---|
86 | self.delete(i)
|
---|
87 | self.axes.clear()
|
---|
88 | self.color = 0
|
---|
89 | self.lines = []
|
---|
90 |
|
---|
91 | def palette(self, color, colormap=None, linestyle=0, linestyles=None):
|
---|
92 | if colormap:
|
---|
93 | if isinstance(colormap,list):
|
---|
94 | self.colormap = colormap
|
---|
95 | elif isinstance(colormap,str):
|
---|
96 | self.colormap = colormap.split()
|
---|
97 | if 0 <= color < len(self.colormap):
|
---|
98 | self.color = color
|
---|
99 | if linestyles:
|
---|
100 | self.linestyles = []
|
---|
101 | if isinstance(linestyles,list):
|
---|
102 | styles = linestyles
|
---|
103 | elif isinstance(linestyles,str):
|
---|
104 | styles = linestyles.split()
|
---|
105 | for ls in styles:
|
---|
106 | if self.lsalias.has_key(ls):
|
---|
107 | self.linestyles.append(self.lsalias.get(ls))
|
---|
108 | else:
|
---|
109 | self.linestyles.append(self.lsalias.get('line'))
|
---|
110 | if 0 <= linestyle < len(self.linestyles):
|
---|
111 | self.linestyle = linestyle
|
---|
112 |
|
---|
113 | def delete(self, numbers=None):
|
---|
114 | """
|
---|
115 | Delete the 0-relative line number, default is to delete the last.
|
---|
116 | The remaining lines are NOT renumbered.
|
---|
117 | """
|
---|
118 |
|
---|
119 | if numbers is None: numbers = [len(self.lines)-1]
|
---|
120 |
|
---|
121 | if not hasattr(numbers, '__iter__'):
|
---|
122 | numbers = [numbers]
|
---|
123 |
|
---|
124 | for number in numbers:
|
---|
125 | if 0 <= number < len(self.lines):
|
---|
126 | if self.lines[number] is not None:
|
---|
127 | for line in self.lines[number]:
|
---|
128 | line.set_linestyle('None')
|
---|
129 | self.lines[number] = None
|
---|
130 | self.show()
|
---|
131 |
|
---|
132 | def get_line(self):
|
---|
133 | """
|
---|
134 | Get the current default line attributes.
|
---|
135 | """
|
---|
136 | return self.attributes
|
---|
137 |
|
---|
138 |
|
---|
139 | def hist(self, x=None, y=None, fmt=None, add=None):
|
---|
140 | """
|
---|
141 | Plot a histogram. N.B. the x values refer to the start of the
|
---|
142 | histogram bin.
|
---|
143 |
|
---|
144 | fmt is the line style as in plot().
|
---|
145 | """
|
---|
146 | from matplotlib.numerix import array
|
---|
147 | from matplotlib.numerix.ma import MaskedArray
|
---|
148 | if x is None:
|
---|
149 | if y is None: return
|
---|
150 | x = range(len(y))
|
---|
151 |
|
---|
152 | if len(x) != len(y):
|
---|
153 | return
|
---|
154 | l2 = 2*len(x)
|
---|
155 | x2 = range(l2)
|
---|
156 | y2 = range(12)
|
---|
157 | y2 = range(l2)
|
---|
158 | m2 = range(l2)
|
---|
159 | ymsk = y.raw_mask()
|
---|
160 | ydat = y.raw_data()
|
---|
161 | for i in range(l2):
|
---|
162 | x2[i] = x[i/2]
|
---|
163 | m2[i] = ymsk[i/2]
|
---|
164 |
|
---|
165 | y2[0] = 0.0
|
---|
166 | for i in range(1,l2):
|
---|
167 | y2[i] = ydat[(i-1)/2]
|
---|
168 |
|
---|
169 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
|
---|
170 |
|
---|
171 |
|
---|
172 | def hold(self, hold=True):
|
---|
173 | """
|
---|
174 | Buffer graphics until subsequently released.
|
---|
175 | """
|
---|
176 | self.buffering = hold
|
---|
177 |
|
---|
178 |
|
---|
179 | def legend(self, loc=None):
|
---|
180 | """
|
---|
181 | Add a legend to the plot.
|
---|
182 |
|
---|
183 | Any other value for loc else disables the legend:
|
---|
184 | 1: upper right
|
---|
185 | 2: upper left
|
---|
186 | 3: lower left
|
---|
187 | 4: lower right
|
---|
188 | 5: right
|
---|
189 | 6: center left
|
---|
190 | 7: center right
|
---|
191 | 8: lower center
|
---|
192 | 9: upper center
|
---|
193 | 10: center
|
---|
194 |
|
---|
195 | """
|
---|
196 | if isinstance(loc,int):
|
---|
197 | if 0 > loc > 10: loc = 0
|
---|
198 | self.loc = loc
|
---|
199 | self.show()
|
---|
200 |
|
---|
201 |
|
---|
202 | def plot(self, x=None, y=None, fmt=None, add=None):
|
---|
203 | """
|
---|
204 | Plot the next line in the current frame using the current line
|
---|
205 | attributes. The ASAPlot graphics window will be mapped and raised.
|
---|
206 |
|
---|
207 | The argument list works a bit like the matlab plot() function.
|
---|
208 | """
|
---|
209 | if x is None:
|
---|
210 | if y is None: return
|
---|
211 | x = range(len(y))
|
---|
212 |
|
---|
213 | elif y is None:
|
---|
214 | y = x
|
---|
215 | x = range(len(y))
|
---|
216 | if fmt is None:
|
---|
217 | line = self.axes.plot(x, y)
|
---|
218 | else:
|
---|
219 | line = self.axes.plot(x, y, fmt)
|
---|
220 |
|
---|
221 | # Add to an existing line?
|
---|
222 | i = None
|
---|
223 | if add is None or len(self.lines) < add < 0:
|
---|
224 | # Don't add.
|
---|
225 | self.lines.append(line)
|
---|
226 | i = len(self.lines) - 1
|
---|
227 | else:
|
---|
228 | if add == 0: add = len(self.lines)
|
---|
229 | i = add - 1
|
---|
230 | self.lines[i].extend(line)
|
---|
231 |
|
---|
232 | # Set/reset attributes for the line.
|
---|
233 | gotcolour = False
|
---|
234 | for k, v in self.attributes.iteritems():
|
---|
235 | if k == 'color': gotcolour = True
|
---|
236 | for segment in self.lines[i]:
|
---|
237 | getattr(segment, "set_%s"%k)(v)
|
---|
238 |
|
---|
239 | if not gotcolour and len(self.colormap):
|
---|
240 | for segment in self.lines[i]:
|
---|
241 | getattr(segment, "set_color")(self.colormap[self.color])
|
---|
242 | if len(self.colormap) == 1:
|
---|
243 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
|
---|
244 |
|
---|
245 | self.color += 1
|
---|
246 | if self.color >= len(self.colormap):
|
---|
247 | self.color = 0
|
---|
248 |
|
---|
249 | if len(self.colormap) == 1:
|
---|
250 | self.linestyle += 1
|
---|
251 | if self.linestyle >= len(self.linestyles):
|
---|
252 | self.linestyle = 0
|
---|
253 |
|
---|
254 | self.show()
|
---|
255 |
|
---|
256 |
|
---|
257 | def position(self):
|
---|
258 | """
|
---|
259 | Use the mouse to get a position from a graph.
|
---|
260 | """
|
---|
261 |
|
---|
262 | def position_disable(event):
|
---|
263 | self.register('button_press', None)
|
---|
264 | print '%.4f, %.4f' % (event.xdata, event.ydata)
|
---|
265 |
|
---|
266 | print 'Press any mouse button...'
|
---|
267 | self.register('button_press', position_disable)
|
---|
268 |
|
---|
269 |
|
---|
270 | def region(self):
|
---|
271 | """
|
---|
272 | Use the mouse to get a rectangular region from a plot.
|
---|
273 |
|
---|
274 | The return value is [x0, y0, x1, y1] in world coordinates.
|
---|
275 | """
|
---|
276 |
|
---|
277 | def region_start(event):
|
---|
278 | height = self.canvas.figure.bbox.height()
|
---|
279 | self.rect = {'fig': None, 'height': height,
|
---|
280 | 'x': event.x, 'y': height - event.y,
|
---|
281 | 'world': [event.xdata, event.ydata,
|
---|
282 | event.xdata, event.ydata]}
|
---|
283 | self.register('button_press', None)
|
---|
284 | self.register('motion_notify', region_draw)
|
---|
285 | self.register('button_release', region_disable)
|
---|
286 |
|
---|
287 | def region_draw(event):
|
---|
288 | self.canvas._tkcanvas.delete(self.rect['fig'])
|
---|
289 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
|
---|
290 | self.rect['x'], self.rect['y'],
|
---|
291 | event.x, self.rect['height'] - event.y)
|
---|
292 |
|
---|
293 | def region_disable(event):
|
---|
294 | self.register('motion_notify', None)
|
---|
295 | self.register('button_release', None)
|
---|
296 |
|
---|
297 | self.canvas._tkcanvas.delete(self.rect['fig'])
|
---|
298 |
|
---|
299 | self.rect['world'][2:4] = [event.xdata, event.ydata]
|
---|
300 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
|
---|
301 | self.rect['world'][1], self.rect['world'][2],
|
---|
302 | self.rect['world'][3])
|
---|
303 |
|
---|
304 | self.register('button_press', region_start)
|
---|
305 |
|
---|
306 | # This has to be modified to block and return the result (currently
|
---|
307 | # printed by region_disable) when that becomes possible in matplotlib.
|
---|
308 |
|
---|
309 | return [0.0, 0.0, 0.0, 0.0]
|
---|
310 |
|
---|
311 |
|
---|
312 | def register(self, type=None, func=None):
|
---|
313 | """
|
---|
314 | Register, reregister, or deregister events of type 'button_press',
|
---|
315 | 'button_release', or 'motion_notify'.
|
---|
316 |
|
---|
317 | The specified callback function should have the following signature:
|
---|
318 |
|
---|
319 | def func(event)
|
---|
320 |
|
---|
321 | where event is an MplEvent instance containing the following data:
|
---|
322 |
|
---|
323 | name # Event name.
|
---|
324 | canvas # FigureCanvas instance generating the event.
|
---|
325 | x = None # x position - pixels from left of canvas.
|
---|
326 | y = None # y position - pixels from bottom of canvas.
|
---|
327 | button = None # Button pressed: None, 1, 2, 3.
|
---|
328 | key = None # Key pressed: None, chr(range(255)), shift,
|
---|
329 | win, or control
|
---|
330 | inaxes = None # Axes instance if cursor within axes.
|
---|
331 | xdata = None # x world coordinate.
|
---|
332 | ydata = None # y world coordinate.
|
---|
333 |
|
---|
334 | For example:
|
---|
335 |
|
---|
336 | def mouse_move(event):
|
---|
337 | print event.xdata, event.ydata
|
---|
338 |
|
---|
339 | a = asaplot()
|
---|
340 | a.register('motion_notify', mouse_move)
|
---|
341 |
|
---|
342 | If func is None, the event is deregistered.
|
---|
343 |
|
---|
344 | Note that in TkAgg keyboard button presses don't generate an event.
|
---|
345 | """
|
---|
346 |
|
---|
347 | if not self.events.has_key(type): return
|
---|
348 |
|
---|
349 | if func is None:
|
---|
350 | if self.events[type] is not None:
|
---|
351 | # It's not clear that this does anything.
|
---|
352 | self.canvas.mpl_disconnect(self.events[type])
|
---|
353 | self.events[type] = None
|
---|
354 |
|
---|
355 | # It seems to be necessary to return events to the toolbar.
|
---|
356 | if type == 'motion_notify':
|
---|
357 | self.canvas.mpl_connect(type + '_event',
|
---|
358 | self.figmgr.toolbar.mouse_move)
|
---|
359 | elif type == 'button_press':
|
---|
360 | self.canvas.mpl_connect(type + '_event',
|
---|
361 | self.figmgr.toolbar.press)
|
---|
362 | elif type == 'button_release':
|
---|
363 | self.canvas.mpl_connect(type + '_event',
|
---|
364 | self.figmgr.toolbar.release)
|
---|
365 |
|
---|
366 | else:
|
---|
367 | self.events[type] = self.canvas.mpl_connect(type + '_event', func)
|
---|
368 |
|
---|
369 |
|
---|
370 | def release(self):
|
---|
371 | """
|
---|
372 | Release buffered graphics.
|
---|
373 | """
|
---|
374 | self.buffering = False
|
---|
375 | self.show()
|
---|
376 |
|
---|
377 |
|
---|
378 | def save(self, fname=None, orientation=None, dpi=None):
|
---|
379 | """
|
---|
380 | Save the plot to a file.
|
---|
381 |
|
---|
382 | fname is the name of the output file. The image format is determined
|
---|
383 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
|
---|
384 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current
|
---|
385 | directory.
|
---|
386 | """
|
---|
387 | if fname is None:
|
---|
388 | from datetime import datetime
|
---|
389 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
|
---|
390 | fname = 'asap'+dstr+'.png'
|
---|
391 |
|
---|
392 | d = ['png','.ps','eps']
|
---|
393 |
|
---|
394 | from os.path import expandvars
|
---|
395 | fname = expandvars(fname)
|
---|
396 |
|
---|
397 | if fname[-3:].lower() in d:
|
---|
398 | try:
|
---|
399 | if fname[-3:].lower() == ".ps":
|
---|
400 | from matplotlib import __version__ as mv
|
---|
401 | w = self.figure.figwidth.get()
|
---|
402 | h = self.figure.figheight.get()
|
---|
403 |
|
---|
404 | if orientation is None:
|
---|
405 | # auto oriented
|
---|
406 | if w > h:
|
---|
407 | orientation = 'landscape'
|
---|
408 | else:
|
---|
409 | orientation = 'portrait'
|
---|
410 | a4w = 8.25
|
---|
411 | a4h = 11.25
|
---|
412 | ds = None
|
---|
413 | if orientation == 'landscape':
|
---|
414 | ds = min(a4h/w,a4w/h)
|
---|
415 | else:
|
---|
416 | ds = min(a4w/w,a4h/h)
|
---|
417 | ow = ds * w
|
---|
418 | oh = ds * h
|
---|
419 | self.figure.set_figsize_inches((ow,oh))
|
---|
420 | from matplotlib import __version__ as mv
|
---|
421 | # hack to circument ps bug in eraly versions of mpl
|
---|
422 | if int(mv.split(".")[1]) < 87:
|
---|
423 | self.figure.savefig(fname, orientation=orientation)
|
---|
424 | else:
|
---|
425 | self.figure.savefig(fname, orientation=orientation,
|
---|
426 | papertype="a4")
|
---|
427 | self.figure.set_figsize_inches((w,h))
|
---|
428 | print 'Written file %s' % (fname)
|
---|
429 | else:
|
---|
430 | if dpi is None:
|
---|
431 | dpi =150
|
---|
432 | self.figure.savefig(fname,dpi=dpi)
|
---|
433 | print 'Written file %s' % (fname)
|
---|
434 | except IOError, msg:
|
---|
435 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
|
---|
436 | return
|
---|
437 | else:
|
---|
438 | print "Invalid image type. Valid types are:"
|
---|
439 | print "'ps', 'eps', 'png'"
|
---|
440 |
|
---|
441 |
|
---|
442 | def set_axes(self, what=None, *args, **kwargs):
|
---|
443 | """
|
---|
444 | Set attributes for the axes by calling the relevant Axes.set_*()
|
---|
445 | method. Colour translation is done as described in the doctext
|
---|
446 | for palette().
|
---|
447 | """
|
---|
448 |
|
---|
449 | if what is None: return
|
---|
450 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
451 |
|
---|
452 | newargs = {}
|
---|
453 |
|
---|
454 | for k, v in kwargs.iteritems():
|
---|
455 | k = k.lower()
|
---|
456 | if k == 'colour': k = 'color'
|
---|
457 | newargs[k] = v
|
---|
458 |
|
---|
459 | getattr(self.axes, "set_%s"%what)(*args, **newargs)
|
---|
460 |
|
---|
461 | self.show()
|
---|
462 |
|
---|
463 |
|
---|
464 | def set_figure(self, what=None, *args, **kwargs):
|
---|
465 | """
|
---|
466 | Set attributes for the figure by calling the relevant Figure.set_*()
|
---|
467 | method. Colour translation is done as described in the doctext
|
---|
468 | for palette().
|
---|
469 | """
|
---|
470 |
|
---|
471 | if what is None: return
|
---|
472 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
473 | #if what[-5:] == 'color' and len(args):
|
---|
474 | # args = (get_colour(args[0]),)
|
---|
475 |
|
---|
476 | newargs = {}
|
---|
477 | for k, v in kwargs.iteritems():
|
---|
478 | k = k.lower()
|
---|
479 | if k == 'colour': k = 'color'
|
---|
480 | newargs[k] = v
|
---|
481 |
|
---|
482 | getattr(self.figure, "set_%s"%what)(*args, **newargs)
|
---|
483 | self.show()
|
---|
484 |
|
---|
485 |
|
---|
486 | def set_limits(self, xlim=None, ylim=None):
|
---|
487 | """
|
---|
488 | Set x-, and y-limits for each subplot.
|
---|
489 |
|
---|
490 | xlim = [xmin, xmax] as in axes.set_xlim().
|
---|
491 | ylim = [ymin, ymax] as in axes.set_ylim().
|
---|
492 | """
|
---|
493 | for s in self.subplots:
|
---|
494 | self.axes = s['axes']
|
---|
495 | self.lines = s['lines']
|
---|
496 | oldxlim = list(self.axes.get_xlim())
|
---|
497 | oldylim = list(self.axes.get_ylim())
|
---|
498 | if xlim is not None:
|
---|
499 | for i in range(len(xlim)):
|
---|
500 | if xlim[i] is not None:
|
---|
501 | oldxlim[i] = xlim[i]
|
---|
502 | if ylim is not None:
|
---|
503 | for i in range(len(ylim)):
|
---|
504 | if ylim[i] is not None:
|
---|
505 | oldylim[i] = ylim[i]
|
---|
506 | self.axes.set_xlim(oldxlim)
|
---|
507 | self.axes.set_ylim(oldylim)
|
---|
508 | return
|
---|
509 |
|
---|
510 |
|
---|
511 | def set_line(self, number=None, **kwargs):
|
---|
512 | """
|
---|
513 | Set attributes for the specified line, or else the next line(s)
|
---|
514 | to be plotted.
|
---|
515 |
|
---|
516 | number is the 0-relative number of a line that has already been
|
---|
517 | plotted. If no such line exists, attributes are recorded and used
|
---|
518 | for the next line(s) to be plotted.
|
---|
519 |
|
---|
520 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do
|
---|
521 |
|
---|
522 | import matplotlib
|
---|
523 | help(matplotlib.lines)
|
---|
524 |
|
---|
525 | The set_* methods of class Line2D define the attribute names and
|
---|
526 | values. For non-US usage, "colour" is recognized as synonymous with
|
---|
527 | "color".
|
---|
528 |
|
---|
529 | Set the value to None to delete an attribute.
|
---|
530 |
|
---|
531 | Colour translation is done as described in the doctext for palette().
|
---|
532 | """
|
---|
533 |
|
---|
534 | redraw = False
|
---|
535 | for k, v in kwargs.iteritems():
|
---|
536 | k = k.lower()
|
---|
537 | if k == 'colour': k = 'color'
|
---|
538 |
|
---|
539 | if 0 <= number < len(self.lines):
|
---|
540 | if self.lines[number] is not None:
|
---|
541 | for line in self.lines[number]:
|
---|
542 | getattr(line, "set_%s"%k)(v)
|
---|
543 | redraw = True
|
---|
544 | else:
|
---|
545 | if v is None:
|
---|
546 | del self.attributes[k]
|
---|
547 | else:
|
---|
548 | self.attributes[k] = v
|
---|
549 |
|
---|
550 | if redraw: self.show()
|
---|
551 |
|
---|
552 |
|
---|
553 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
|
---|
554 | """
|
---|
555 | Set the panel layout.
|
---|
556 |
|
---|
557 | rows and cols, if cols != 0, specify the number of rows and columns in
|
---|
558 | a regular layout. (Indexing of these panels in matplotlib is row-
|
---|
559 | major, i.e. column varies fastest.)
|
---|
560 |
|
---|
561 | cols == 0 is interpreted as a retangular layout that accomodates
|
---|
562 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
|
---|
563 | rows == 2, cols == 3.
|
---|
564 |
|
---|
565 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in
|
---|
566 | the configuration specified by rows and cols to be added to the
|
---|
567 | current figure as its next 0-relative panel number (i). This allows
|
---|
568 | non-regular panel layouts to be constructed via multiple calls. Any
|
---|
569 | other value of n clears the plot and produces a rectangular array of
|
---|
570 | empty panels. The number of these may be limited by nplots.
|
---|
571 | """
|
---|
572 | if n < 0 and len(self.subplots):
|
---|
573 | self.figure.clear()
|
---|
574 | self.set_title()
|
---|
575 |
|
---|
576 | if rows < 1: rows = 1
|
---|
577 |
|
---|
578 | if cols <= 0:
|
---|
579 | i = int(sqrt(rows))
|
---|
580 | if i*i < rows: i += 1
|
---|
581 | cols = i
|
---|
582 |
|
---|
583 | if i*(i-1) >= rows: i -= 1
|
---|
584 | rows = i
|
---|
585 |
|
---|
586 | if 0 <= n < rows*cols:
|
---|
587 | i = len(self.subplots)
|
---|
588 | self.subplots.append({})
|
---|
589 |
|
---|
590 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
591 | cols, n+1)
|
---|
592 | self.subplots[i]['lines'] = []
|
---|
593 |
|
---|
594 | if i == 0: self.subplot(0)
|
---|
595 |
|
---|
596 | self.rows = 0
|
---|
597 | self.cols = 0
|
---|
598 |
|
---|
599 | else:
|
---|
600 | self.subplots = []
|
---|
601 |
|
---|
602 | if nplots < 1 or rows*cols < nplots:
|
---|
603 | nplots = rows*cols
|
---|
604 | if ganged:
|
---|
605 | hsp,wsp = None,None
|
---|
606 | if rows > 1: hsp = 0.0001
|
---|
607 | if cols > 1: wsp = 0.0001
|
---|
608 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
|
---|
609 | for i in range(nplots):
|
---|
610 | self.subplots.append({})
|
---|
611 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
612 | cols, i+1)
|
---|
613 | self.subplots[i]['lines'] = []
|
---|
614 |
|
---|
615 | if ganged:
|
---|
616 | # Suppress tick labelling for interior subplots.
|
---|
617 | if i <= (rows-1)*cols - 1:
|
---|
618 | if i+cols < nplots:
|
---|
619 | # Suppress x-labels for frames width
|
---|
620 | # adjacent frames
|
---|
621 | self.subplots[i]['axes'].xaxis.set_major_locator(NullLocator())
|
---|
622 | self.subplots[i]['axes'].xaxis.label.set_visible(False)
|
---|
623 | if i%cols:
|
---|
624 | # Suppress y-labels for frames not in the left column.
|
---|
625 | for tick in self.subplots[i]['axes'].yaxis.majorTicks:
|
---|
626 | tick.label1On = False
|
---|
627 | self.subplots[i]['axes'].yaxis.label.set_visible(False)
|
---|
628 | # disable the first tick of [1:ncol-1] of the last row
|
---|
629 | if (nplots-cols) < i <= nplots-1:
|
---|
630 | self.subplots[i]['axes'].xaxis.set_major_formatter(MyFormatter())
|
---|
631 | self.rows = rows
|
---|
632 | self.cols = cols
|
---|
633 | self.subplot(0)
|
---|
634 |
|
---|
635 | def set_title(self, title=None):
|
---|
636 | """
|
---|
637 | Set the title of the plot window. Use the previous title if title is
|
---|
638 | omitted.
|
---|
639 | """
|
---|
640 | if title is not None:
|
---|
641 | self.title = title
|
---|
642 |
|
---|
643 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
|
---|
644 |
|
---|
645 |
|
---|
646 | def show(self):
|
---|
647 | """
|
---|
648 | Show graphics dependent on the current buffering state.
|
---|
649 | """
|
---|
650 | if not self.buffering:
|
---|
651 | if self.loc is not None:
|
---|
652 | for sp in self.subplots:
|
---|
653 | lines = []
|
---|
654 | labels = []
|
---|
655 | i = 0
|
---|
656 | for line in sp['lines']:
|
---|
657 | i += 1
|
---|
658 | if line is not None:
|
---|
659 | lines.append(line[0])
|
---|
660 | lbl = line[0].get_label()
|
---|
661 | if lbl == '':
|
---|
662 | lbl = str(i)
|
---|
663 | labels.append(lbl)
|
---|
664 |
|
---|
665 | if len(lines):
|
---|
666 | rcParams['legend.fontsize'] = 8
|
---|
667 | ## lsiz = rcParams['legend.fontsize']-len(lines)/2
|
---|
668 | sp['axes'].legend(tuple(lines), tuple(labels),
|
---|
669 | self.loc)
|
---|
670 | ## ,prop=FontProperties(size=lsiz) )
|
---|
671 | else:
|
---|
672 | sp['axes'].legend((' '))
|
---|
673 |
|
---|
674 | ax = sp['axes']
|
---|
675 | from matplotlib.artist import setp
|
---|
676 | xts = rcParams['xtick.labelsize']-(self.cols)/2
|
---|
677 | yts = rcParams['ytick.labelsize']-(self.rows)/2
|
---|
678 | for sp in self.subplots:
|
---|
679 | ax = sp['axes']
|
---|
680 | s = ax.title.get_size()
|
---|
681 | tsize = s-(self.cols+self.rows)
|
---|
682 | ax.title.set_size(tsize)
|
---|
683 | setp(ax.get_xticklabels(), fontsize=xts)
|
---|
684 | setp(ax.get_yticklabels(), fontsize=yts)
|
---|
685 | origx = rcParams['xtick.labelsize'] #ax.xaxis.label.get_size()
|
---|
686 | origy = rcParams['ytick.labelsize'] #ax.yaxis.label.get_size()
|
---|
687 | off = 0
|
---|
688 | if self.cols > 1: off = self.cols
|
---|
689 | xfsize = origx-off
|
---|
690 | #rc('xtick',labelsize=xfsize)
|
---|
691 | ax.xaxis.label.set_size(xfsize)
|
---|
692 | off = 0
|
---|
693 | if self.rows > 1: off = self.rows
|
---|
694 | yfsize = origy-off
|
---|
695 | #rc('ytick',labelsize=yfsize)
|
---|
696 | ax.yaxis.label.set_size(yfsize)
|
---|
697 |
|
---|
698 | def subplot(self, i=None, inc=None):
|
---|
699 | """
|
---|
700 | Set the subplot to the 0-relative panel number as defined by one or
|
---|
701 | more invokations of set_panels().
|
---|
702 | """
|
---|
703 | l = len(self.subplots)
|
---|
704 | if l:
|
---|
705 | if i is not None:
|
---|
706 | self.i = i
|
---|
707 |
|
---|
708 | if inc is not None:
|
---|
709 | self.i += inc
|
---|
710 |
|
---|
711 | self.i %= l
|
---|
712 | self.axes = self.subplots[self.i]['axes']
|
---|
713 | self.lines = self.subplots[self.i]['lines']
|
---|
714 |
|
---|
715 |
|
---|
716 | def text(self, *args, **kwargs):
|
---|
717 | """
|
---|
718 | Add text to the figure.
|
---|
719 | """
|
---|
720 | self.figure.text(*args, **kwargs)
|
---|
721 | self.show()
|
---|