1 | from asap.parameters import rcParams |
---|
2 | from asap.selector import selector |
---|
3 | from asap.scantable import scantable |
---|
4 | from asap.logging import asaplog, asaplog_post_dec |
---|
5 | import matplotlib.axes |
---|
6 | from matplotlib.font_manager import FontProperties |
---|
7 | from matplotlib.text import Text |
---|
8 | from matplotlib import _pylab_helpers |
---|
9 | |
---|
10 | import re |
---|
11 | |
---|
12 | def new_asaplot(visible=None,**kwargs): |
---|
13 | """ |
---|
14 | Returns a new asaplot instance based on the backend settings. |
---|
15 | """ |
---|
16 | if visible == None: |
---|
17 | visible = rcParams['plotter.gui'] |
---|
18 | |
---|
19 | backend=matplotlib.get_backend() |
---|
20 | if not visible: |
---|
21 | from asap.asaplot import asaplot |
---|
22 | elif backend == 'TkAgg': |
---|
23 | from asap.asaplotgui import asaplotgui as asaplot |
---|
24 | elif backend == 'Qt4Agg': |
---|
25 | from asap.asaplotgui_qt4 import asaplotgui as asaplot |
---|
26 | elif backend == 'GTkAgg': |
---|
27 | from asap.asaplotgui_gtk import asaplotgui as asaplot |
---|
28 | else: |
---|
29 | from asap.asaplot import asaplot |
---|
30 | return asaplot(**kwargs) |
---|
31 | |
---|
32 | class asapplotter: |
---|
33 | """ |
---|
34 | The ASAP plotter. |
---|
35 | By default the plotter is set up to plot polarisations |
---|
36 | 'colour stacked' and scantables across panels. |
---|
37 | |
---|
38 | .. note:: |
---|
39 | |
---|
40 | Currenly it only plots 'spectra' not Tsys or |
---|
41 | other variables. |
---|
42 | |
---|
43 | """ |
---|
44 | def __init__(self, visible=None , **kwargs): |
---|
45 | self._visible = rcParams['plotter.gui'] |
---|
46 | if visible is not None: |
---|
47 | self._visible = visible |
---|
48 | self._plotter = None |
---|
49 | self._inikwg = kwargs |
---|
50 | |
---|
51 | ### plot settings |
---|
52 | self._colormap = None |
---|
53 | self._linestyles = None |
---|
54 | self._fp = FontProperties() |
---|
55 | self._rows = None |
---|
56 | self._cols = None |
---|
57 | self._minmaxx = None |
---|
58 | self._minmaxy = None |
---|
59 | self._margins = self.set_margin(refresh=False) |
---|
60 | self._legendloc = None |
---|
61 | ### scantable plot settings |
---|
62 | self._plotmode = "spectra" |
---|
63 | self._panelling = None |
---|
64 | self._stacking = None |
---|
65 | self.set_panelling() |
---|
66 | self.set_stacking() |
---|
67 | self._hist = rcParams['plotter.histogram'] |
---|
68 | ### scantable dependent settings |
---|
69 | self._data = None |
---|
70 | self._abcunit = None |
---|
71 | self._headtext = {'string': None, 'textobj': None} |
---|
72 | self._selection = selector() |
---|
73 | self._usermask = [] |
---|
74 | self._maskselection = None |
---|
75 | self._offset = None |
---|
76 | self._lmap = None |
---|
77 | self._title = None |
---|
78 | self._ordinate = None |
---|
79 | self._abcissa = None |
---|
80 | ### cursors for page iteration |
---|
81 | self._startrow = 0 |
---|
82 | self._ipanel = -1 |
---|
83 | self._panelrows = [] |
---|
84 | |
---|
85 | def _translate(self, instr): |
---|
86 | keys = "s b i p t r".split() |
---|
87 | if isinstance(instr, str): |
---|
88 | for key in keys: |
---|
89 | if instr.lower().startswith(key): |
---|
90 | return key |
---|
91 | return None |
---|
92 | |
---|
93 | @asaplog_post_dec |
---|
94 | def _reload_plotter(self): |
---|
95 | if self._plotter is not None: |
---|
96 | #if not self._plotter.is_dead: |
---|
97 | # # clear lines and axes |
---|
98 | # try: |
---|
99 | # self._plotter.clear() |
---|
100 | # except: # Can't remove when already killed. |
---|
101 | # pass |
---|
102 | if self.casabar_exists(): |
---|
103 | del self._plotter.figmgr.casabar |
---|
104 | self._plotter.quit() |
---|
105 | del self._plotter |
---|
106 | asaplog.push('Loading new plotter') |
---|
107 | self._plotter = new_asaplot(self._visible,**self._inikwg) |
---|
108 | self._plotter.figmgr.casabar=self._new_custombar() |
---|
109 | # just to make sure they're set |
---|
110 | self._plotter.palette(color=0,colormap=self._colormap, |
---|
111 | linestyle=0,linestyles=self._linestyles) |
---|
112 | self._plotter.legend(self._legendloc) |
---|
113 | |
---|
114 | ### TODO: it's probably better to define following two methods in |
---|
115 | ### backend dependent class. |
---|
116 | def _new_custombar(self): |
---|
117 | backend=matplotlib.get_backend() |
---|
118 | if not self._visible: |
---|
119 | return None |
---|
120 | elif backend == "TkAgg": |
---|
121 | from asap.customgui_tkagg import CustomToolbarTkAgg |
---|
122 | return CustomToolbarTkAgg(self) |
---|
123 | elif backend == "Qt4Agg": |
---|
124 | from asap.customgui_qt4agg import CustomToolbarQT4Agg |
---|
125 | return CustomToolbarQT4Agg(self) |
---|
126 | return None |
---|
127 | |
---|
128 | def casabar_exists(self): |
---|
129 | if not hasattr(self._plotter.figmgr,'casabar'): |
---|
130 | return False |
---|
131 | elif self._plotter.figmgr.casabar: |
---|
132 | return True |
---|
133 | return False |
---|
134 | ### end of TODO |
---|
135 | |
---|
136 | def _assert_plotter(self,action="status",errmsg=None): |
---|
137 | """ |
---|
138 | Check plot window status. Returns True if plot window is alive. |
---|
139 | Parameters |
---|
140 | action: An action to take if the plotter window is not alive. |
---|
141 | ['status'|'reload'|'halt'] |
---|
142 | The action 'status' simply returns False if asaplot |
---|
143 | is not alive. When action='reload', plot window is |
---|
144 | reloaded and the method returns True. Finally, an |
---|
145 | error is raised when action='halt'. |
---|
146 | errmsg: An error (warning) message to send to the logger, |
---|
147 | when plot window is not alive. |
---|
148 | """ |
---|
149 | isAlive = (self._plotter is not None) and self._plotter._alive() |
---|
150 | # More tests |
---|
151 | #if isAlive: |
---|
152 | # if self._plotter.figmgr: |
---|
153 | # figmgr = self._plotter.figmgr |
---|
154 | # figid = figmgr.num |
---|
155 | # # Make sure figid=0 is what asapplotter expects. |
---|
156 | # # It might be already destroied/overridden by matplotlib |
---|
157 | # # commands or other plotting methods using asaplot. |
---|
158 | # isAlive = _pylab_helpers.Gcf.has_fignum(figid) and \ |
---|
159 | # (figmgr == \ |
---|
160 | # _pylab_helpers.Gcf.get_fig_manager(figid)) |
---|
161 | # else: |
---|
162 | # isAlive = False |
---|
163 | |
---|
164 | if isAlive: |
---|
165 | return True |
---|
166 | # Plotter is not alive. |
---|
167 | haltmsg = "Plotter window has not yet been loaded or is closed." |
---|
168 | if type(errmsg)==str and len(errmsg) > 0: |
---|
169 | haltmsg = errmsg |
---|
170 | |
---|
171 | if action.upper().startswith("R"): |
---|
172 | # reload plotter |
---|
173 | self._reload_plotter() |
---|
174 | return True |
---|
175 | elif action.upper().startswith("H"): |
---|
176 | # halt |
---|
177 | asaplog.push(haltmsg) |
---|
178 | asaplog.post("ERROR") |
---|
179 | raise RuntimeError(haltmsg) |
---|
180 | else: |
---|
181 | if errmsg: |
---|
182 | asaplog.push(errmsg) |
---|
183 | asaplog.post("WARN") |
---|
184 | return False |
---|
185 | |
---|
186 | |
---|
187 | def gca(self): |
---|
188 | errmsg = "No axis to retun. Need to plot first." |
---|
189 | if not self._assert_plotter(action="status",errmsg=errmsg): |
---|
190 | return None |
---|
191 | return self._plotter.figure.gca() |
---|
192 | |
---|
193 | def refresh(self): |
---|
194 | """Do a soft refresh""" |
---|
195 | errmsg = "No figure to re-plot. Need to plot first." |
---|
196 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
197 | |
---|
198 | self._plotter.figure.show() |
---|
199 | |
---|
200 | def save(self, filename=None, orientation=None, dpi=None): |
---|
201 | """ |
---|
202 | Save the plot to a file. The known formats are 'png', 'ps', 'eps'. |
---|
203 | Parameters: |
---|
204 | filename: The name of the output file. This is optional |
---|
205 | and autodetects the image format from the file |
---|
206 | suffix. If non filename is specified a file |
---|
207 | called 'yyyymmdd_hhmmss.png' is created in the |
---|
208 | current directory. |
---|
209 | orientation: optional parameter for postscript only (not eps). |
---|
210 | 'landscape', 'portrait' or None (default) are valid. |
---|
211 | If None is choosen for 'ps' output, the plot is |
---|
212 | automatically oriented to fill the page. |
---|
213 | dpi: The dpi of the output non-ps plot |
---|
214 | """ |
---|
215 | errmsg = "Cannot save figure. Need to plot first." |
---|
216 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
217 | |
---|
218 | self._plotter.save(filename,orientation,dpi) |
---|
219 | return |
---|
220 | |
---|
221 | def create_mask(self, nwin=1, panel=0, color=None): |
---|
222 | """ |
---|
223 | Interactively define a mask. It retruns a mask that is equivalent to |
---|
224 | the one created manually with scantable.create_mask. |
---|
225 | Parameters: |
---|
226 | nwin: The number of mask windows to create interactively |
---|
227 | default is 1. |
---|
228 | panel: Which panel to use for mask selection. This is useful |
---|
229 | if different IFs are spread over panels (default 0) |
---|
230 | """ |
---|
231 | ## this method relies on already plotted figure |
---|
232 | if not self._assert_plotter(action="status") or (self._data is None): |
---|
233 | msg = "Cannot create mask interactively on plot. Can only create mask after plotting." |
---|
234 | asaplog.push( msg ) |
---|
235 | asaplog.post( "ERROR" ) |
---|
236 | return [] |
---|
237 | outmask = [] |
---|
238 | self._plotter.subplot(panel) |
---|
239 | xmin, xmax = self._plotter.axes.get_xlim() |
---|
240 | marg = 0.05*(xmax-xmin) |
---|
241 | self._plotter.axes.set_xlim(xmin-marg, xmax+marg) |
---|
242 | self.refresh() |
---|
243 | |
---|
244 | def cleanup(lines=False, texts=False, refresh=False): |
---|
245 | if lines: |
---|
246 | del self._plotter.axes.lines[-1] |
---|
247 | if texts: |
---|
248 | del self._plotter.axes.texts[-1] |
---|
249 | if refresh: |
---|
250 | self.refresh() |
---|
251 | |
---|
252 | for w in xrange(nwin): |
---|
253 | wpos = [] |
---|
254 | self.text(0.05,1.0, "Add start boundary", |
---|
255 | coords="relative", fontsize=10) |
---|
256 | point = self._plotter.get_point() |
---|
257 | cleanup(texts=True) |
---|
258 | if point is None: |
---|
259 | continue |
---|
260 | wpos.append(point[0]) |
---|
261 | self.axvline(wpos[0], color=color) |
---|
262 | self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10) |
---|
263 | point = self._plotter.get_point() |
---|
264 | cleanup(texts=True, lines=True) |
---|
265 | if point is None: |
---|
266 | self.refresh() |
---|
267 | continue |
---|
268 | wpos.append(point[0]) |
---|
269 | self.axvspan(wpos[0], wpos[1], alpha=0.1, |
---|
270 | edgecolor=color, facecolor=color) |
---|
271 | ymin, ymax = self._plotter.axes.get_ylim() |
---|
272 | outmask.append(wpos) |
---|
273 | |
---|
274 | self._plotter.axes.set_xlim(xmin, xmax) |
---|
275 | self.refresh() |
---|
276 | if len(outmask) > 0: |
---|
277 | return self._data.create_mask(*outmask) |
---|
278 | return [] |
---|
279 | |
---|
280 | |
---|
281 | ### Forwards to methods in matplotlib axes ### |
---|
282 | def text(self, *args, **kwargs): |
---|
283 | self._assert_plotter(action="reload") |
---|
284 | if kwargs.has_key("interactive"): |
---|
285 | if kwargs.pop("interactive"): |
---|
286 | pos = self._plotter.get_point() |
---|
287 | args = tuple(pos)+args |
---|
288 | self._axes_callback("text", *args, **kwargs) |
---|
289 | |
---|
290 | text.__doc__ = matplotlib.axes.Axes.text.__doc__ |
---|
291 | |
---|
292 | def arrow(self, *args, **kwargs): |
---|
293 | self._assert_plotter(action="reload") |
---|
294 | if kwargs.has_key("interactive"): |
---|
295 | if kwargs.pop("interactive"): |
---|
296 | pos = self._plotter.get_region() |
---|
297 | dpos = (pos[0][0], pos[0][1], |
---|
298 | pos[1][0]-pos[0][0], |
---|
299 | pos[1][1] - pos[0][1]) |
---|
300 | args = dpos + args |
---|
301 | self._axes_callback("arrow", *args, **kwargs) |
---|
302 | |
---|
303 | arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__ |
---|
304 | |
---|
305 | def annotate(self, text, xy=None, xytext=None, **kwargs): |
---|
306 | self._assert_plotter(action="reload") |
---|
307 | if kwargs.has_key("interactive"): |
---|
308 | if kwargs.pop("interactive"): |
---|
309 | xy = self._plotter.get_point() |
---|
310 | xytext = self._plotter.get_point() |
---|
311 | if not kwargs.has_key("arrowprops"): |
---|
312 | kwargs["arrowprops"] = dict(arrowstyle="->") |
---|
313 | self._axes_callback("annotate", text, xy, xytext, **kwargs) |
---|
314 | |
---|
315 | annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__ |
---|
316 | |
---|
317 | def axvline(self, *args, **kwargs): |
---|
318 | self._assert_plotter(action="reload") |
---|
319 | if kwargs.has_key("interactive"): |
---|
320 | if kwargs.pop("interactive"): |
---|
321 | pos = self._plotter.get_point() |
---|
322 | args = (pos[0],)+args |
---|
323 | self._axes_callback("axvline", *args, **kwargs) |
---|
324 | |
---|
325 | axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__ |
---|
326 | |
---|
327 | def axhline(self, *args, **kwargs): |
---|
328 | self._assert_plotter(action="reload") |
---|
329 | if kwargs.has_key("interactive"): |
---|
330 | if kwargs.pop("interactive"): |
---|
331 | pos = self._plotter.get_point() |
---|
332 | args = (pos[1],)+args |
---|
333 | self._axes_callback("axhline", *args, **kwargs) |
---|
334 | |
---|
335 | axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__ |
---|
336 | |
---|
337 | def axvspan(self, *args, **kwargs): |
---|
338 | self._assert_plotter(action="reload") |
---|
339 | if kwargs.has_key("interactive"): |
---|
340 | if kwargs.pop("interactive"): |
---|
341 | pos = self._plotter.get_region() |
---|
342 | dpos = (pos[0][0], pos[1][0]) |
---|
343 | args = dpos + args |
---|
344 | self._axes_callback("axvspan", *args, **kwargs) |
---|
345 | # hack to preventy mpl from redrawing the patch |
---|
346 | # it seem to convert the patch into lines on every draw. |
---|
347 | # This doesn't happen in a test script??? |
---|
348 | #del self._plotter.axes.patches[-1] |
---|
349 | |
---|
350 | axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__ |
---|
351 | |
---|
352 | def axhspan(self, *args, **kwargs): |
---|
353 | self._assert_plotter(action="reload") |
---|
354 | if kwargs.has_key("interactive"): |
---|
355 | if kwargs.pop("interactive"): |
---|
356 | pos = self._plotter.get_region() |
---|
357 | dpos = (pos[0][1], pos[1][1]) |
---|
358 | args = dpos + args |
---|
359 | self._axes_callback("axhspan", *args, **kwargs) |
---|
360 | # hack to preventy mpl from redrawing the patch |
---|
361 | # it seem to convert the patch into lines on every draw. |
---|
362 | # This doesn't happen in a test script??? |
---|
363 | #del self._plotter.axes.patches[-1] |
---|
364 | |
---|
365 | axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__ |
---|
366 | |
---|
367 | def _axes_callback(self, axesfunc, *args, **kwargs): |
---|
368 | self._assert_plotter(action="reload") |
---|
369 | panel = 0 |
---|
370 | if kwargs.has_key("panel"): |
---|
371 | panel = kwargs.pop("panel") |
---|
372 | coords = None |
---|
373 | if kwargs.has_key("coords"): |
---|
374 | coords = kwargs.pop("coords") |
---|
375 | if coords.lower() == 'world': |
---|
376 | kwargs["transform"] = self._plotter.axes.transData |
---|
377 | elif coords.lower() == 'relative': |
---|
378 | kwargs["transform"] = self._plotter.axes.transAxes |
---|
379 | self._plotter.subplot(panel) |
---|
380 | self._plotter.axes.set_autoscale_on(False) |
---|
381 | getattr(self._plotter.axes, axesfunc)(*args, **kwargs) |
---|
382 | self._plotter.show(False) |
---|
383 | self._plotter.axes.set_autoscale_on(True) |
---|
384 | # end matplotlib.axes fowarding functions |
---|
385 | |
---|
386 | |
---|
387 | ### Forwards to matplotlib.Figure.text ### |
---|
388 | def figtext(self, *args, **kwargs): |
---|
389 | """ |
---|
390 | Add text to figure at location x,y (relative 0-1 coords). |
---|
391 | This method forwards *args and **kwargs to a Matplotlib method, |
---|
392 | matplotlib.Figure.text. |
---|
393 | See the method help for detailed information. |
---|
394 | """ |
---|
395 | self._assert_plotter(action="reload") |
---|
396 | self._plotter.text(*args, **kwargs) |
---|
397 | # end matplotlib.Figure.text forwarding function |
---|
398 | |
---|
399 | |
---|
400 | ### Set Plot parameters ### |
---|
401 | @asaplog_post_dec |
---|
402 | def set_data(self, scan, refresh=True): |
---|
403 | """ |
---|
404 | Set a scantable to plot. |
---|
405 | Parameters: |
---|
406 | scan: a scantable |
---|
407 | refresh: True (default) or False. If True, the plot is |
---|
408 | replotted based on the new parameter setting(s). |
---|
409 | Otherwise,the parameter(s) are set without replotting. |
---|
410 | Note: |
---|
411 | The user specified masks and data selections will be reset |
---|
412 | if a new scantable is set. This method should be called before |
---|
413 | setting data selections (set_selection) and/or masks (set_mask). |
---|
414 | """ |
---|
415 | from asap import scantable |
---|
416 | if isinstance(scan, scantable): |
---|
417 | if (self._data is not None) and (scan != self._data): |
---|
418 | del self._data |
---|
419 | msg = "A new scantable is set to the plotter. "\ |
---|
420 | "The masks, data selections, and labels are reset." |
---|
421 | asaplog.push(msg) |
---|
422 | self._data = scan |
---|
423 | # reset |
---|
424 | self._reset() |
---|
425 | else: |
---|
426 | msg = "Input is not a scantable" |
---|
427 | raise TypeError(msg) |
---|
428 | |
---|
429 | # ranges become invalid when unit changes |
---|
430 | if self._abcunit and self._abcunit != self._data.get_unit(): |
---|
431 | self._minmaxx = None |
---|
432 | self._minmaxy = None |
---|
433 | self._abcunit = self._data.get_unit() |
---|
434 | if refresh: self.plot() |
---|
435 | |
---|
436 | @asaplog_post_dec |
---|
437 | def set_mode(self, stacking=None, panelling=None, refresh=True): |
---|
438 | """ |
---|
439 | Set the plots look and feel, i.e. what you want to see on the plot. |
---|
440 | Parameters: |
---|
441 | stacking: tell the plotter which variable to plot |
---|
442 | as line colour overlays (default 'pol') |
---|
443 | panelling: tell the plotter which variable to plot |
---|
444 | across multiple panels (default 'scan' |
---|
445 | refresh: True (default) or False. If True, the plot is |
---|
446 | replotted based on the new parameter setting(s). |
---|
447 | Otherwise,the parameter(s) are set without replotting. |
---|
448 | Note: |
---|
449 | Valid modes are: |
---|
450 | 'beam' 'Beam' 'b': Beams |
---|
451 | 'if' 'IF' 'i': IFs |
---|
452 | 'pol' 'Pol' 'p': Polarisations |
---|
453 | 'scan' 'Scan' 's': Scans |
---|
454 | 'time' 'Time' 't': Times |
---|
455 | 'row' 'Row' 'r': Rows |
---|
456 | When either 'stacking' or 'panelling' is set to 'row', |
---|
457 | the other parameter setting is ignored. |
---|
458 | """ |
---|
459 | msg = "Invalid mode" |
---|
460 | if not self.set_panelling(panelling) or \ |
---|
461 | not self.set_stacking(stacking): |
---|
462 | raise TypeError(msg) |
---|
463 | #if self._panelling == 'r': |
---|
464 | # self._stacking = '_r' |
---|
465 | #if self._stacking == 'r': |
---|
466 | # self._panelling = '_r' |
---|
467 | if refresh and self._data: self.plot(self._data) |
---|
468 | return |
---|
469 | |
---|
470 | def set_stacking(self, what=None): |
---|
471 | """Set the 'stacking' mode i.e. which type of spectra should be |
---|
472 | overlayed. |
---|
473 | """ |
---|
474 | mode = what |
---|
475 | if mode is None: |
---|
476 | mode = rcParams['plotter.stacking'] |
---|
477 | md = self._translate(mode) |
---|
478 | if md: |
---|
479 | self._stacking = md |
---|
480 | self._lmap = None |
---|
481 | # new mode is set. need to reset counters for multi page plotting |
---|
482 | self._reset_counters() |
---|
483 | return True |
---|
484 | return False |
---|
485 | |
---|
486 | def set_panelling(self, what=None): |
---|
487 | """Set the 'panelling' mode i.e. which type of spectra should be |
---|
488 | spread across different panels. |
---|
489 | """ |
---|
490 | |
---|
491 | mode = what |
---|
492 | if mode is None: |
---|
493 | mode = rcParams['plotter.panelling'] |
---|
494 | md = self._translate(mode) |
---|
495 | if md: |
---|
496 | self._panelling = md |
---|
497 | self._title = None |
---|
498 | # new mode is set. need to reset counters for multi page plotting |
---|
499 | self._reset_counters() |
---|
500 | return True |
---|
501 | return False |
---|
502 | |
---|
503 | def set_layout(self,rows=None,cols=None,refresh=True): |
---|
504 | """ |
---|
505 | Set the multi-panel layout, i.e. how many rows and columns plots |
---|
506 | are visible. |
---|
507 | Parameters: |
---|
508 | rows: The number of rows of plots |
---|
509 | cols: The number of columns of plots |
---|
510 | refresh: True (default) or False. If True, the plot is |
---|
511 | replotted based on the new parameter setting(s). |
---|
512 | Otherwise,the parameter(s) are set without replotting. |
---|
513 | Note: |
---|
514 | If no argument is given, the potter reverts to its auto-plot |
---|
515 | behaviour. |
---|
516 | """ |
---|
517 | self._rows = rows |
---|
518 | self._cols = cols |
---|
519 | # new layout is set. need to reset counters for multi page plotting |
---|
520 | self._reset_counters() |
---|
521 | if refresh and self._data: self.plot(self._data) |
---|
522 | return |
---|
523 | |
---|
524 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None): |
---|
525 | """ |
---|
526 | Set the range of interest on the abcissa of the plot |
---|
527 | Parameters: |
---|
528 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
---|
529 | refresh: True (default) or False. If True, the plot is |
---|
530 | replotted based on the new parameter setting(s). |
---|
531 | Otherwise,the parameter(s) are set without replotting. |
---|
532 | offset: shift the abcissa by the given amount. The abcissa label will |
---|
533 | have '(relative)' appended to it. |
---|
534 | Note: |
---|
535 | These become non-sensical when the unit changes. |
---|
536 | use plotter.set_range() without parameters to reset |
---|
537 | |
---|
538 | """ |
---|
539 | self._offset = offset |
---|
540 | if xstart is None and xend is None: |
---|
541 | self._minmaxx = None |
---|
542 | else: |
---|
543 | self._minmaxx = [xstart,xend] |
---|
544 | if ystart is None and yend is None: |
---|
545 | self._minmaxy = None |
---|
546 | else: |
---|
547 | self._minmaxy = [ystart,yend] |
---|
548 | if refresh and self._data: self.plot(self._data) |
---|
549 | return |
---|
550 | |
---|
551 | def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True): |
---|
552 | """ |
---|
553 | Specify a mapping for the legend instead of using the default |
---|
554 | indices: |
---|
555 | Parameters: |
---|
556 | mp: a list of 'strings'. This should have the same length |
---|
557 | as the number of elements on the legend and then maps |
---|
558 | to the indeces in order. It is possible to uses latex |
---|
559 | math expression. These have to be enclosed in r'', |
---|
560 | e.g. r'$x^{2}$' |
---|
561 | fontsize: The font size of the label (default None) |
---|
562 | mode: where to display the legend |
---|
563 | Any other value for loc else disables the legend: |
---|
564 | 0: auto |
---|
565 | 1: upper right |
---|
566 | 2: upper left |
---|
567 | 3: lower left |
---|
568 | 4: lower right |
---|
569 | 5: right |
---|
570 | 6: center left |
---|
571 | 7: center right |
---|
572 | 8: lower center |
---|
573 | 9: upper center |
---|
574 | 10: center |
---|
575 | refresh: True (default) or False. If True, the plot is |
---|
576 | replotted based on the new parameter setting(s). |
---|
577 | Otherwise,the parameter(s) are set without replotting. |
---|
578 | |
---|
579 | Example: |
---|
580 | If the data has two IFs/rest frequencies with index 0 and 1 |
---|
581 | for CO and SiO: |
---|
582 | plotter.set_stacking('i') |
---|
583 | plotter.set_legend(['CO','SiO']) |
---|
584 | plotter.plot() |
---|
585 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
---|
586 | """ |
---|
587 | self._lmap = mp |
---|
588 | #self._plotter.legend(mode) |
---|
589 | self._legendloc = mode |
---|
590 | if isinstance(fontsize, int): |
---|
591 | from matplotlib import rc as rcp |
---|
592 | rcp('legend', fontsize=fontsize) |
---|
593 | if refresh and self._data: self.plot(self._data) |
---|
594 | return |
---|
595 | |
---|
596 | def set_title(self, title=None, fontsize=None, refresh=True): |
---|
597 | """ |
---|
598 | Set the title of sub-plots. If multiple sub-plots are plotted, |
---|
599 | multiple titles have to be specified. |
---|
600 | Parameters: |
---|
601 | title: a list of titles of sub-plots. |
---|
602 | fontsize: a font size of titles (integer) |
---|
603 | refresh: True (default) or False. If True, the plot is |
---|
604 | replotted based on the new parameter setting(s). |
---|
605 | Otherwise,the parameter(s) are set without replotting. |
---|
606 | Example: |
---|
607 | # two panels are visible on the plotter |
---|
608 | plotter.set_title(['First Panel','Second Panel']) |
---|
609 | """ |
---|
610 | self._title = title |
---|
611 | if isinstance(fontsize, int): |
---|
612 | from matplotlib import rc as rcp |
---|
613 | rcp('axes', titlesize=fontsize) |
---|
614 | if refresh and self._data: self.plot(self._data) |
---|
615 | return |
---|
616 | |
---|
617 | def set_ordinate(self, ordinate=None, fontsize=None, refresh=True): |
---|
618 | """ |
---|
619 | Set the y-axis label of the plot. If multiple panels are plotted, |
---|
620 | multiple labels have to be specified. |
---|
621 | Parameters: |
---|
622 | ordinate: a list of ordinate labels. None (default) let |
---|
623 | data determine the labels |
---|
624 | fontsize: a font size of vertical axis labels (integer) |
---|
625 | refresh: True (default) or False. If True, the plot is |
---|
626 | replotted based on the new parameter setting(s). |
---|
627 | Otherwise,the parameter(s) are set without replotting. |
---|
628 | Example: |
---|
629 | # two panels are visible on the plotter |
---|
630 | plotter.set_ordinate(['First Y-Axis','Second Y-Axis']) |
---|
631 | """ |
---|
632 | self._ordinate = ordinate |
---|
633 | if isinstance(fontsize, int): |
---|
634 | from matplotlib import rc as rcp |
---|
635 | rcp('axes', labelsize=fontsize) |
---|
636 | rcp('ytick', labelsize=fontsize) |
---|
637 | if refresh and self._data: self.plot(self._data) |
---|
638 | return |
---|
639 | |
---|
640 | def set_abcissa(self, abcissa=None, fontsize=None, refresh=True): |
---|
641 | """ |
---|
642 | Set the x-axis label of the plot. If multiple panels are plotted, |
---|
643 | multiple labels have to be specified. |
---|
644 | Parameters: |
---|
645 | abcissa: a list of abcissa labels. None (default) let |
---|
646 | data determine the labels |
---|
647 | fontsize: a font size of horizontal axis labels (integer) |
---|
648 | refresh: True (default) or False. If True, the plot is |
---|
649 | replotted based on the new parameter setting(s). |
---|
650 | Otherwise,the parameter(s) are set without replotting. |
---|
651 | Example: |
---|
652 | # two panels are visible on the plotter |
---|
653 | plotter.set_ordinate(['First X-Axis','Second X-Axis']) |
---|
654 | """ |
---|
655 | self._abcissa = abcissa |
---|
656 | if isinstance(fontsize, int): |
---|
657 | from matplotlib import rc as rcp |
---|
658 | rcp('axes', labelsize=fontsize) |
---|
659 | rcp('xtick', labelsize=fontsize) |
---|
660 | if refresh and self._data: self.plot(self._data) |
---|
661 | return |
---|
662 | |
---|
663 | def set_histogram(self, hist=True, linewidth=None, refresh=True): |
---|
664 | """ |
---|
665 | Enable/Disable histogram-like plotting. |
---|
666 | Parameters: |
---|
667 | hist: True (default) or False. The fisrt default |
---|
668 | is taken from the .asaprc setting |
---|
669 | plotter.histogram |
---|
670 | linewidth: a line width |
---|
671 | refresh: True (default) or False. If True, the plot is |
---|
672 | replotted based on the new parameter setting(s). |
---|
673 | Otherwise,the parameter(s) are set without replotting. |
---|
674 | """ |
---|
675 | self._hist = hist |
---|
676 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
677 | from matplotlib import rc as rcp |
---|
678 | rcp('lines', linewidth=linewidth) |
---|
679 | if refresh and self._data: self.plot(self._data) |
---|
680 | |
---|
681 | def set_colors(self, colmap, refresh=True): |
---|
682 | """ |
---|
683 | Set the colours to be used. The plotter will cycle through |
---|
684 | these colours when lines are overlaid (stacking mode). |
---|
685 | Parameters: |
---|
686 | colmap: a list of colour names |
---|
687 | refresh: True (default) or False. If True, the plot is |
---|
688 | replotted based on the new parameter setting(s). |
---|
689 | Otherwise,the parameter(s) are set without replotting. |
---|
690 | Example: |
---|
691 | plotter.set_colors('red green blue') |
---|
692 | # If for example four lines are overlaid e.g I Q U V |
---|
693 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
---|
694 | # and 'V' will be 'red' again. |
---|
695 | """ |
---|
696 | #if isinstance(colmap,str): |
---|
697 | # colmap = colmap.split() |
---|
698 | #self._plotter.palette(0, colormap=colmap) |
---|
699 | self._colormap = colmap |
---|
700 | if refresh and self._data: self.plot(self._data) |
---|
701 | |
---|
702 | # alias for english speakers |
---|
703 | set_colours = set_colors |
---|
704 | |
---|
705 | def set_linestyles(self, linestyles=None, linewidth=None, refresh=True): |
---|
706 | """ |
---|
707 | Set the linestyles to be used. The plotter will cycle through |
---|
708 | these linestyles when lines are overlaid (stacking mode) AND |
---|
709 | only one color has been set. |
---|
710 | Parameters: |
---|
711 | linestyles: a list of linestyles to use. |
---|
712 | 'line', 'dashed', 'dotted', 'dashdot', |
---|
713 | 'dashdotdot' and 'dashdashdot' are |
---|
714 | possible |
---|
715 | linewidth: a line width |
---|
716 | refresh: True (default) or False. If True, the plot is |
---|
717 | replotted based on the new parameter setting(s). |
---|
718 | Otherwise,the parameter(s) are set without replotting. |
---|
719 | Example: |
---|
720 | plotter.set_colors('black') |
---|
721 | plotter.set_linestyles('line dashed dotted dashdot') |
---|
722 | # If for example four lines are overlaid e.g I Q U V |
---|
723 | # 'I' will be 'solid', 'Q' will be 'dashed', |
---|
724 | # U will be 'dotted' and 'V' will be 'dashdot'. |
---|
725 | """ |
---|
726 | #if isinstance(linestyles,str): |
---|
727 | # linestyles = linestyles.split() |
---|
728 | #self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
---|
729 | self._linestyles = linestyles |
---|
730 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
731 | from matplotlib import rc as rcp |
---|
732 | rcp('lines', linewidth=linewidth) |
---|
733 | if refresh and self._data: self.plot(self._data) |
---|
734 | |
---|
735 | def set_font(self, refresh=True,**kwargs): |
---|
736 | """ |
---|
737 | Set font properties. |
---|
738 | Parameters: |
---|
739 | family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace' |
---|
740 | style: one of 'normal' (or 'roman'), 'italic' or 'oblique' |
---|
741 | weight: one of 'normal or 'bold' |
---|
742 | size: the 'general' font size, individual elements can be adjusted |
---|
743 | seperately |
---|
744 | refresh: True (default) or False. If True, the plot is |
---|
745 | replotted based on the new parameter setting(s). |
---|
746 | Otherwise,the parameter(s) are set without replotting. |
---|
747 | """ |
---|
748 | from matplotlib import rc as rcp |
---|
749 | fdict = {} |
---|
750 | for k,v in kwargs.iteritems(): |
---|
751 | if v: |
---|
752 | fdict[k] = v |
---|
753 | self._fp = FontProperties(**fdict) |
---|
754 | if refresh and self._data: self.plot(self._data) |
---|
755 | |
---|
756 | def set_margin(self,margin=[],refresh=True): |
---|
757 | """ |
---|
758 | Set margins between subplots and plot edges. |
---|
759 | Parameters: |
---|
760 | margin: a list of margins in figure coordinate (0-1), |
---|
761 | i.e., fraction of the figure width or height. |
---|
762 | The order of elements should be: |
---|
763 | [left, bottom, right, top, horizontal space btw panels, |
---|
764 | vertical space btw panels]. |
---|
765 | refresh: True (default) or False. If True, the plot is |
---|
766 | replotted based on the new parameter setting(s). |
---|
767 | Otherwise,the parameter(s) are set without replotting. |
---|
768 | Note |
---|
769 | * When margin is not specified, the values are reset to the defaults |
---|
770 | of matplotlib. |
---|
771 | * If any element is set to be None, the current value is adopted. |
---|
772 | """ |
---|
773 | if margin == []: self._margins=self._reset_margin() |
---|
774 | else: |
---|
775 | self._margins=[None]*6 |
---|
776 | self._margins[0:len(margin)]=margin |
---|
777 | #print "panel margin set to ",self._margins |
---|
778 | if refresh and self._data: self.plot(self._data) |
---|
779 | |
---|
780 | def _reset_margin(self): |
---|
781 | ks=map(lambda x: 'figure.subplot.'+x, |
---|
782 | ['left','bottom','right','top','hspace','wspace']) |
---|
783 | return map(matplotlib.rcParams.get,ks) |
---|
784 | |
---|
785 | def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0, |
---|
786 | location=None): |
---|
787 | """ |
---|
788 | Plot a line catalog. |
---|
789 | Parameters: |
---|
790 | linecat: the linecatalog to plot |
---|
791 | doppler: the velocity shift to apply to the frequencies |
---|
792 | deltachan: the number of channels to include each side of the |
---|
793 | line to determine a local maximum/minimum |
---|
794 | rotate: the rotation (in degrees) for the text label (default 90.0) |
---|
795 | location: the location of the line annotation from the 'top', |
---|
796 | 'bottom' or alternate (None - the default) |
---|
797 | Notes: |
---|
798 | If the spectrum is flagged no line will be drawn in that location. |
---|
799 | """ |
---|
800 | errmsg = "Cannot plot spectral lines. Need to plot scantable first." |
---|
801 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
802 | if not self._data: |
---|
803 | raise RuntimeError("No scantable has been plotted yet.") |
---|
804 | from asap._asap import linecatalog |
---|
805 | if not isinstance(linecat, linecatalog): |
---|
806 | raise ValueError("'linecat' isn't of type linecatalog.") |
---|
807 | if not self._data.get_unit().endswith("Hz"): |
---|
808 | raise RuntimeError("Can only overlay linecatalogs when data is in frequency.") |
---|
809 | from numpy import ma |
---|
810 | for j in range(len(self._plotter.subplots)): |
---|
811 | self._plotter.subplot(j) |
---|
812 | lims = self._plotter.axes.get_xlim() |
---|
813 | for row in range(linecat.nrow()): |
---|
814 | # get_frequency returns MHz |
---|
815 | base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 } |
---|
816 | restf = linecat.get_frequency(row)/base[self._data.get_unit()] |
---|
817 | c = 299792.458 |
---|
818 | freq = restf*(1.0-doppler/c) |
---|
819 | if lims[0] < freq < lims[1]: |
---|
820 | if location is None: |
---|
821 | loc = 'bottom' |
---|
822 | if row%2: loc='top' |
---|
823 | else: loc = location |
---|
824 | maxys = [] |
---|
825 | for line in self._plotter.axes.lines: |
---|
826 | v = line._x |
---|
827 | asc = v[0] < v[-1] |
---|
828 | |
---|
829 | idx = None |
---|
830 | if not asc: |
---|
831 | if v[len(v)-1] <= freq <= v[0]: |
---|
832 | i = len(v)-1 |
---|
833 | while i>=0 and v[i] < freq: |
---|
834 | idx = i |
---|
835 | i-=1 |
---|
836 | else: |
---|
837 | if v[0] <= freq <= v[len(v)-1]: |
---|
838 | i = 0 |
---|
839 | while i<len(v) and v[i] < freq: |
---|
840 | idx = i |
---|
841 | i+=1 |
---|
842 | if idx is not None: |
---|
843 | lower = idx - deltachan |
---|
844 | upper = idx + deltachan |
---|
845 | if lower < 0: lower = 0 |
---|
846 | if upper > len(v): upper = len(v) |
---|
847 | s = slice(lower, upper) |
---|
848 | y = line._y[s] |
---|
849 | maxy = ma.maximum(y) |
---|
850 | if isinstance( maxy, float): |
---|
851 | maxys.append(maxy) |
---|
852 | if len(maxys): |
---|
853 | peak = max(maxys) |
---|
854 | if peak > self._plotter.axes.get_ylim()[1]: |
---|
855 | loc = 'bottom' |
---|
856 | else: |
---|
857 | continue |
---|
858 | self._plotter.vline_with_label(freq, peak, |
---|
859 | linecat.get_name(row), |
---|
860 | location=loc, rotate=rotate) |
---|
861 | self._plotter.show(hardrefresh=False) |
---|
862 | |
---|
863 | |
---|
864 | def set_selection(self, selection=None, refresh=True, **kw): |
---|
865 | """ |
---|
866 | Parameters: |
---|
867 | selection: a selector object (default unset the selection) |
---|
868 | refresh: True (default) or False. If True, the plot is |
---|
869 | replotted based on the new parameter setting(s). |
---|
870 | Otherwise,the parameter(s) are set without replotting. |
---|
871 | """ |
---|
872 | if selection is None: |
---|
873 | # reset |
---|
874 | if len(kw) == 0: |
---|
875 | self._selection = selector() |
---|
876 | else: |
---|
877 | # try keywords |
---|
878 | for k in kw: |
---|
879 | if k not in selector.fields: |
---|
880 | raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields)) |
---|
881 | self._selection = selector(**kw) |
---|
882 | elif isinstance(selection, selector): |
---|
883 | self._selection = selection |
---|
884 | else: |
---|
885 | raise TypeError("'selection' is not of type selector") |
---|
886 | |
---|
887 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
888 | if order: |
---|
889 | self._selection.set_order(order) |
---|
890 | if refresh and self._data: |
---|
891 | self.plot() |
---|
892 | |
---|
893 | @asaplog_post_dec |
---|
894 | def set_mask(self, mask=None, selection=None, refresh=True): |
---|
895 | """ |
---|
896 | Set a plotting mask for a specific polarization. |
---|
897 | This is useful for masking out 'noise' Pangle outside a source. |
---|
898 | Parameters: |
---|
899 | mask: a mask from scantable.create_mask |
---|
900 | selection: the spectra to apply the mask to. |
---|
901 | refresh: True (default) or False. If True, the plot is |
---|
902 | replotted based on the new parameter setting(s). |
---|
903 | Otherwise,the parameter(s) are set without replotting. |
---|
904 | Example: |
---|
905 | select = selector() |
---|
906 | select.setpolstrings('Pangle') |
---|
907 | plotter.set_mask(mymask, select) |
---|
908 | """ |
---|
909 | if not self._data: |
---|
910 | msg = "Can only set mask after a first call to plot()" |
---|
911 | raise RuntimeError(msg) |
---|
912 | if (mask is not None) and len(mask): |
---|
913 | if isinstance(mask, list) or isinstance(mask, tuple): |
---|
914 | self._usermask = array(mask) |
---|
915 | else: |
---|
916 | self._usermask = mask |
---|
917 | if mask is None and selection is None: |
---|
918 | self._usermask = [] |
---|
919 | self._maskselection = None |
---|
920 | if isinstance(selection, selector): |
---|
921 | self._maskselection = {'b': selection.get_beams(), |
---|
922 | 's': selection.get_scans(), |
---|
923 | 'i': selection.get_ifs(), |
---|
924 | 'p': selection.get_pols(), |
---|
925 | 't': [] } |
---|
926 | else: |
---|
927 | self._maskselection = None |
---|
928 | if refresh: self.plot(self._data) |
---|
929 | |
---|
930 | |
---|
931 | ### Reset methods ### |
---|
932 | def _reset(self): |
---|
933 | """Reset method called when new data is set""" |
---|
934 | # reset selections and masks |
---|
935 | self.set_selection(None, False) |
---|
936 | self.set_mask(None, None, False) |
---|
937 | # reset offset |
---|
938 | self._offset = None |
---|
939 | # reset header |
---|
940 | self._reset_header() |
---|
941 | # reset labels |
---|
942 | self._lmap = None # related to stack |
---|
943 | self.set_title(None, None, False) |
---|
944 | self.set_ordinate(None, None, False) |
---|
945 | self.set_abcissa(None, None, False) |
---|
946 | |
---|
947 | def _reset_header(self): |
---|
948 | self._headtext={'string': None, 'textobj': None} |
---|
949 | |
---|
950 | def _reset_counter(self): |
---|
951 | self._startrow = 0 |
---|
952 | self._ipanel = -1 |
---|
953 | self._panelrows = [] |
---|
954 | self._reset_header() |
---|
955 | if self.casabar_exists(): |
---|
956 | self._plotter.figmgr.casabar.set_pagecounter(1) |
---|
957 | |
---|
958 | def _reset_counters(self): |
---|
959 | self._startrow = 0 |
---|
960 | self._ipanel = -1 |
---|
961 | self._panelrows = [] |
---|
962 | |
---|
963 | |
---|
964 | ### Actual scantable plot methods ### |
---|
965 | @asaplog_post_dec |
---|
966 | def plot(self, scan=None): |
---|
967 | """ |
---|
968 | Plot a scantable. |
---|
969 | Parameters: |
---|
970 | scan: a scantable |
---|
971 | Note: |
---|
972 | If a scantable was specified in a previous call |
---|
973 | to plot, no argument has to be given to 'replot' |
---|
974 | NO checking is done that the abcissas of the scantable |
---|
975 | are consistent e.g. all 'channel' or all 'velocity' etc. |
---|
976 | """ |
---|
977 | self._plotmode = "spectra" |
---|
978 | if not self._data and not scan: |
---|
979 | msg = "Input is not a scantable" |
---|
980 | raise TypeError(msg) |
---|
981 | |
---|
982 | self._assert_plotter(action="reload") |
---|
983 | self._plotter.hold() |
---|
984 | self._reset_counter() |
---|
985 | #self._plotter.clear() |
---|
986 | if scan: |
---|
987 | self.set_data(scan, refresh=False) |
---|
988 | self._plotter.palette(color=0,colormap=self._colormap, |
---|
989 | linestyle=0,linestyles=self._linestyles) |
---|
990 | self._plotter.legend(self._legendloc) |
---|
991 | self._plot(self._data) |
---|
992 | if self._minmaxy is not None: |
---|
993 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
994 | if self.casabar_exists(): self._plotter.figmgr.casabar.enable_button() |
---|
995 | self._plotter.release() |
---|
996 | self._plotter.tidy() |
---|
997 | self._plotter.show(hardrefresh=False) |
---|
998 | return |
---|
999 | |
---|
1000 | def _plot(self, scan): |
---|
1001 | savesel = scan.get_selection() |
---|
1002 | sel = savesel + self._selection |
---|
1003 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
1004 | if order: |
---|
1005 | sel.set_order(order) |
---|
1006 | scan.set_selection(sel) |
---|
1007 | d = {'b': scan.getbeam, 's': scan.getscan, |
---|
1008 | 'i': scan.getif, 'p': scan.getpol, 't': scan.get_time, |
---|
1009 | 'r': int}#, '_r': int} |
---|
1010 | |
---|
1011 | polmodes = dict(zip(sel.get_pols(), sel.get_poltypes())) |
---|
1012 | # this returns either a tuple of numbers or a length (ncycles) |
---|
1013 | # convert this into lengths |
---|
1014 | n0,nstack0 = self._get_selected_n(scan) |
---|
1015 | if isinstance(n0, int): n = n0 |
---|
1016 | else: n = len(n0) |
---|
1017 | if isinstance(nstack0, int): nstack = nstack0 |
---|
1018 | else: nstack = len(nstack0) |
---|
1019 | # In case of row stacking |
---|
1020 | rowstack = False |
---|
1021 | titlemode = self._panelling |
---|
1022 | if self._stacking == "r" and self._panelling != "r": |
---|
1023 | rowstack = True |
---|
1024 | titlemode = '_r' |
---|
1025 | nptot = n |
---|
1026 | maxpanel, maxstack = 16,16 |
---|
1027 | if nstack > maxstack: |
---|
1028 | msg ="Scan to be overlayed contains more than %d selections.\n" \ |
---|
1029 | "Selecting first %d selections..." % (maxstack, maxstack) |
---|
1030 | asaplog.push(msg) |
---|
1031 | asaplog.post('WARN') |
---|
1032 | nstack = min(nstack,maxstack) |
---|
1033 | #n = min(n-self._ipanel-1,maxpanel) |
---|
1034 | n = n-self._ipanel-1 |
---|
1035 | # the number of panels in this page |
---|
1036 | if self._rows and self._cols: |
---|
1037 | n = min(n,self._rows*self._cols) |
---|
1038 | else: |
---|
1039 | n = min(n,maxpanel) |
---|
1040 | |
---|
1041 | firstpage = (self._ipanel < 0) |
---|
1042 | #ganged = False |
---|
1043 | ganged = rcParams['plotter.ganged'] |
---|
1044 | if self._panelling == 'i': |
---|
1045 | ganged = False |
---|
1046 | if (not firstpage) and \ |
---|
1047 | self._plotter._subplotsOk(self._rows, self._cols, n): |
---|
1048 | # Not the first page and subplot number is ok. |
---|
1049 | # Just clear the axis |
---|
1050 | nx = self._plotter.cols |
---|
1051 | ipaxx = n - nx - 1 #the max panel id to supress x-label |
---|
1052 | for ip in xrange(len(self._plotter.subplots)): |
---|
1053 | self._plotter.subplot(ip) |
---|
1054 | self._plotter.clear() |
---|
1055 | self._plotter.axes.set_visible((ip<n)) |
---|
1056 | if ganged: |
---|
1057 | self._plotter.axes.xaxis.label.set_visible((ip > ipaxx)) |
---|
1058 | if ip <= ipaxx: |
---|
1059 | map(lambda x: x.set_visible(False), \ |
---|
1060 | self._plotter.axes.get_xticklabels()) |
---|
1061 | self._plotter.axes.yaxis.label.set_visible((ip % nx)==0) |
---|
1062 | if ip % nx: |
---|
1063 | map(lambda y: y.set_visible(False), \ |
---|
1064 | self._plotter.axes.get_yticklabels()) |
---|
1065 | elif (n > 1 and self._rows and self._cols): |
---|
1066 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
1067 | nplots=n,margin=self._margins, |
---|
1068 | ganged=ganged) |
---|
1069 | else: |
---|
1070 | self._plotter.set_panels(rows=n,cols=0,nplots=n, |
---|
1071 | margin=self._margins,ganged=ganged) |
---|
1072 | #r = 0 |
---|
1073 | r = self._startrow |
---|
1074 | nr = scan.nrow() |
---|
1075 | a0,b0 = -1,-1 |
---|
1076 | allxlim = [] |
---|
1077 | allylim = [] |
---|
1078 | #newpanel=True |
---|
1079 | newpanel=False |
---|
1080 | panelcount,stackcount = 0,0 |
---|
1081 | # If this is not the first page |
---|
1082 | if r > 0: |
---|
1083 | # panelling value of the prev page |
---|
1084 | a0 = d[self._panelling](r-1) |
---|
1085 | # set the initial stackcount large not to plot |
---|
1086 | # the start row automatically |
---|
1087 | stackcount = nstack |
---|
1088 | |
---|
1089 | while r < nr: |
---|
1090 | a = d[self._panelling](r) |
---|
1091 | b = d[self._stacking](r) |
---|
1092 | if a > a0 and panelcount < n: |
---|
1093 | if n > 1: |
---|
1094 | self._plotter.subplot(panelcount) |
---|
1095 | self._plotter.palette(0) |
---|
1096 | #title |
---|
1097 | xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
1098 | or scan._getabcissalabel() |
---|
1099 | if self._offset and not self._abcissa: |
---|
1100 | xlab += " (relative)" |
---|
1101 | ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
1102 | or scan._get_ordinate_label() |
---|
1103 | self._plotter.set_axes('xlabel', xlab) |
---|
1104 | self._plotter.set_axes('ylabel', ylab) |
---|
1105 | #lbl = self._get_label(scan, r, self._panelling, self._title) |
---|
1106 | lbl = self._get_label(scan, r, titlemode, self._title) |
---|
1107 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1108 | if 0 <= panelcount < len(lbl): |
---|
1109 | lbl = lbl[panelcount] |
---|
1110 | else: |
---|
1111 | # get default label |
---|
1112 | #lbl = self._get_label(scan, r, self._panelling, None) |
---|
1113 | lbl = self._get_label(scan, r, titlemode, None) |
---|
1114 | self._plotter.set_axes('title',lbl) |
---|
1115 | newpanel = True |
---|
1116 | stackcount = 0 |
---|
1117 | panelcount += 1 |
---|
1118 | # save the start row to plot this panel for future revisit. |
---|
1119 | if self._panelling != 'r' and \ |
---|
1120 | len(self._panelrows) < self._ipanel+1+panelcount: |
---|
1121 | self._panelrows += [r] |
---|
1122 | |
---|
1123 | #if (b > b0 or newpanel) and stackcount < nstack: |
---|
1124 | if stackcount < nstack and (newpanel or \ |
---|
1125 | rowstack or (a == a0 and b > b0)): |
---|
1126 | y = [] |
---|
1127 | if len(polmodes): |
---|
1128 | y = scan._getspectrum(r, polmodes[scan.getpol(r)]) |
---|
1129 | else: |
---|
1130 | y = scan._getspectrum(r) |
---|
1131 | # flag application |
---|
1132 | mr = scan._getflagrow(r) |
---|
1133 | from numpy import ma, array |
---|
1134 | if mr: |
---|
1135 | y = ma.masked_array(y,mask=mr) |
---|
1136 | else: |
---|
1137 | m = scan._getmask(r) |
---|
1138 | from numpy import logical_not, logical_and |
---|
1139 | if self._maskselection and len(self._usermask) == len(m): |
---|
1140 | if d[self._stacking](r) in self._maskselection[self._stacking]: |
---|
1141 | m = logical_and(m, self._usermask) |
---|
1142 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1143 | |
---|
1144 | x = array(scan._getabcissa(r)) |
---|
1145 | if self._offset: |
---|
1146 | x += self._offset |
---|
1147 | if self._minmaxx is not None: |
---|
1148 | s,e = self._slice_indeces(x) |
---|
1149 | x = x[s:e] |
---|
1150 | y = y[s:e] |
---|
1151 | if len(x) > 1024 and rcParams['plotter.decimate']: |
---|
1152 | fac = len(x)/1024 |
---|
1153 | x = x[::fac] |
---|
1154 | y = y[::fac] |
---|
1155 | llbl = self._get_label(scan, r, self._stacking, self._lmap) |
---|
1156 | if isinstance(llbl, list) or isinstance(llbl, tuple): |
---|
1157 | if 0 <= stackcount < len(llbl): |
---|
1158 | # use user label |
---|
1159 | llbl = llbl[stackcount] |
---|
1160 | else: |
---|
1161 | # get default label |
---|
1162 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1163 | self._plotter.set_line(label=llbl) |
---|
1164 | plotit = self._plotter.plot |
---|
1165 | if self._hist: plotit = self._plotter.hist |
---|
1166 | if len(x) > 0 and not mr: |
---|
1167 | plotit(x,y) |
---|
1168 | xlim= self._minmaxx or [min(x),max(x)] |
---|
1169 | allxlim += xlim |
---|
1170 | ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)] |
---|
1171 | allylim += ylim |
---|
1172 | else: |
---|
1173 | xlim = self._minmaxx or [] |
---|
1174 | allxlim += xlim |
---|
1175 | ylim= self._minmaxy or [] |
---|
1176 | allylim += ylim |
---|
1177 | stackcount += 1 |
---|
1178 | a0=a |
---|
1179 | b0=b |
---|
1180 | # last in colour stack -> autoscale x |
---|
1181 | if stackcount == nstack and len(allxlim) > 0: |
---|
1182 | allxlim.sort() |
---|
1183 | self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]]) |
---|
1184 | if ganged: |
---|
1185 | allxlim = [allxlim[0],allxlim[-1]] |
---|
1186 | else: |
---|
1187 | # clear |
---|
1188 | allxlim =[] |
---|
1189 | |
---|
1190 | newpanel = False |
---|
1191 | #a0=a |
---|
1192 | #b0=b |
---|
1193 | # ignore following rows |
---|
1194 | if (panelcount == n and stackcount == nstack) or (r == nr-1): |
---|
1195 | # last panel -> autoscale y if ganged |
---|
1196 | #if rcParams['plotter.ganged'] and len(allylim) > 0: |
---|
1197 | if ganged and len(allylim) > 0: |
---|
1198 | allylim.sort() |
---|
1199 | self._plotter.set_limits(ylim=[allylim[0],allylim[-1]]) |
---|
1200 | break |
---|
1201 | r+=1 # next row |
---|
1202 | |
---|
1203 | # save the current counter for multi-page plotting |
---|
1204 | self._startrow = r+1 |
---|
1205 | self._ipanel += panelcount |
---|
1206 | if self.casabar_exists(): |
---|
1207 | if self._ipanel >= nptot-1: |
---|
1208 | self._plotter.figmgr.casabar.disable_next() |
---|
1209 | else: |
---|
1210 | self._plotter.figmgr.casabar.enable_next() |
---|
1211 | if self._ipanel + 1 - panelcount > 0: |
---|
1212 | self._plotter.figmgr.casabar.enable_prev() |
---|
1213 | else: |
---|
1214 | self._plotter.figmgr.casabar.disable_prev() |
---|
1215 | |
---|
1216 | #reset the selector to the scantable's original |
---|
1217 | scan.set_selection(savesel) |
---|
1218 | |
---|
1219 | #temporary switch-off for older matplotlib |
---|
1220 | #if self._fp is not None: |
---|
1221 | if self._fp is not None and \ |
---|
1222 | getattr(self._plotter.figure,'findobj',False): |
---|
1223 | for o in self._plotter.figure.findobj(Text): |
---|
1224 | if not self._headtext['textobj'] or \ |
---|
1225 | not (o in self._headtext['textobj']): |
---|
1226 | o.set_fontproperties(self._fp) |
---|
1227 | |
---|
1228 | def _get_sortstring(self, lorders): |
---|
1229 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO', |
---|
1230 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None } |
---|
1231 | if not (type(lorders) == list) and not (type(lorders) == tuple): |
---|
1232 | return None |
---|
1233 | if len(lorders) > 0: |
---|
1234 | lsorts = [] |
---|
1235 | for order in lorders: |
---|
1236 | if order == "r": |
---|
1237 | # don't sort if row panelling/stacking |
---|
1238 | return None |
---|
1239 | ssort = d0[order] |
---|
1240 | if ssort: |
---|
1241 | lsorts.append(ssort) |
---|
1242 | return lsorts |
---|
1243 | return None |
---|
1244 | |
---|
1245 | def _get_selected_n(self, scan): |
---|
1246 | d1 = {'b': scan.getbeamnos, 's': scan.getscannos, |
---|
1247 | 'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle, |
---|
1248 | 'r': scan.nrow}#, '_r': False} |
---|
1249 | d2 = { 'b': self._selection.get_beams(), |
---|
1250 | 's': self._selection.get_scans(), |
---|
1251 | 'i': self._selection.get_ifs(), |
---|
1252 | 'p': self._selection.get_pols(), |
---|
1253 | 't': self._selection.get_cycles(), |
---|
1254 | 'r': False}#, '_r': 1} |
---|
1255 | n = d2[self._panelling] or d1[self._panelling]() |
---|
1256 | nstack = d2[self._stacking] or d1[self._stacking]() |
---|
1257 | # handle row panelling/stacking |
---|
1258 | if self._panelling == 'r': |
---|
1259 | nstack = 1 |
---|
1260 | elif self._stacking == 'r': |
---|
1261 | n = 1 |
---|
1262 | return n,nstack |
---|
1263 | |
---|
1264 | def _get_label(self, scan, row, mode, userlabel=None): |
---|
1265 | if isinstance(userlabel, list) and len(userlabel) == 0: |
---|
1266 | userlabel = " " |
---|
1267 | pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes())) |
---|
1268 | if len(pms): |
---|
1269 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)]) |
---|
1270 | else: |
---|
1271 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype()) |
---|
1272 | d = {'b': "Beam "+str(scan.getbeam(row)), |
---|
1273 | #'s': scan._getsourcename(row), |
---|
1274 | 's': "Scan "+str(scan.getscan(row))+\ |
---|
1275 | " ("+str(scan._getsourcename(row))+")", |
---|
1276 | 'i': "IF"+str(scan.getif(row)), |
---|
1277 | 'p': poleval, |
---|
1278 | 't': str(scan.get_time(row)), |
---|
1279 | 'r': "row "+str(row), |
---|
1280 | #'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) } |
---|
1281 | '_r': "" } |
---|
1282 | return userlabel or d[mode] |
---|
1283 | |
---|
1284 | def _slice_indeces(self, data): |
---|
1285 | mn = self._minmaxx[0] |
---|
1286 | mx = self._minmaxx[1] |
---|
1287 | asc = data[0] < data[-1] |
---|
1288 | start=0 |
---|
1289 | end = len(data)-1 |
---|
1290 | inc = 1 |
---|
1291 | if not asc: |
---|
1292 | start = len(data)-1 |
---|
1293 | end = 0 |
---|
1294 | inc = -1 |
---|
1295 | # find min index |
---|
1296 | #while start > 0 and data[start] < mn: |
---|
1297 | # start+= inc |
---|
1298 | minind=start |
---|
1299 | for ind in xrange(start,end+inc,inc): |
---|
1300 | if data[ind] > mn: break |
---|
1301 | minind=ind |
---|
1302 | # find max index |
---|
1303 | #while end > 0 and data[end] > mx: |
---|
1304 | # end-=inc |
---|
1305 | #if end > 0: end +=1 |
---|
1306 | maxind=end |
---|
1307 | for ind in xrange(end,start-inc,-inc): |
---|
1308 | if data[ind] < mx: break |
---|
1309 | maxind=ind |
---|
1310 | start=minind |
---|
1311 | end=maxind |
---|
1312 | if start > end: |
---|
1313 | return end,start+1 |
---|
1314 | elif start < end: |
---|
1315 | return start,end+1 |
---|
1316 | else: |
---|
1317 | return start,end |
---|
1318 | |
---|
1319 | def _get_date_axis_setup(self, dates): |
---|
1320 | """ |
---|
1321 | Returns proper axis title and formatters for a list of dates |
---|
1322 | Input |
---|
1323 | dates : a list of datetime objects returned by, |
---|
1324 | e.g. scantable.get_time(asdatetime=True) |
---|
1325 | Output |
---|
1326 | a set of |
---|
1327 | * date axis title string |
---|
1328 | * formatter of date axis |
---|
1329 | * major axis locator |
---|
1330 | * minor axis locator |
---|
1331 | """ |
---|
1332 | from matplotlib import pylab as PL |
---|
1333 | from matplotlib.dates import DateFormatter |
---|
1334 | from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator |
---|
1335 | t = PL.date2num(dates) |
---|
1336 | tdel = max(t) - min(t) # interval in day |
---|
1337 | dstr = dates[0].strftime('%Y/%m/%d') |
---|
1338 | if tdel > 1.0: # >1day |
---|
1339 | dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d') |
---|
1340 | dstr = dstr + " - " + dstr2 |
---|
1341 | majloc = DayLocator() |
---|
1342 | minloc = HourLocator(range(0,23,12)) |
---|
1343 | timefmt = DateFormatter("%b%d") |
---|
1344 | elif tdel > 24./60.: # 9.6h - 1day |
---|
1345 | timefmt = DateFormatter('%H:%M') |
---|
1346 | majloc = HourLocator() |
---|
1347 | minloc = MinuteLocator(range(0,60,30)) |
---|
1348 | elif tdel > 2./24.: # 2h-9.6h |
---|
1349 | timefmt = DateFormatter('%H:%M') |
---|
1350 | majloc = HourLocator() |
---|
1351 | minloc = MinuteLocator(range(0,60,10)) |
---|
1352 | elif tdel> 10./24./60.: # 10min-2h |
---|
1353 | timefmt = DateFormatter('%H:%M') |
---|
1354 | majloc = MinuteLocator(range(0,60,10)) |
---|
1355 | minloc = MinuteLocator() |
---|
1356 | else: # <10min |
---|
1357 | timefmt = DateFormatter('%H:%M') |
---|
1358 | majloc = MinuteLocator() |
---|
1359 | minloc = SecondLocator(30) |
---|
1360 | return (dstr, timefmt, majloc, minloc) |
---|
1361 | |
---|
1362 | def plotazel(self, scan=None, outfile=None): |
---|
1363 | """ |
---|
1364 | plot azimuth and elevation versus time of a scantable |
---|
1365 | """ |
---|
1366 | self._plotmode = "azel" |
---|
1367 | visible = rcParams['plotter.gui'] |
---|
1368 | from matplotlib import pylab as PL |
---|
1369 | from pytz import timezone |
---|
1370 | from matplotlib.ticker import MultipleLocator |
---|
1371 | from numpy import array, pi, ma |
---|
1372 | if self._plotter and (PL.gcf() == self._plotter.figure): |
---|
1373 | # the current figure is ASAP plotter. Use mpl plotter |
---|
1374 | figids = PL.get_fignums() |
---|
1375 | PL.figure(max(figids[-1],1)) |
---|
1376 | |
---|
1377 | if not visible or not self._visible: |
---|
1378 | PL.ioff() |
---|
1379 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1380 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1381 | self._data = scan |
---|
1382 | dates = self._data.get_time(asdatetime=True) |
---|
1383 | # for flag handling |
---|
1384 | mask = [ self._data._is_all_chan_flagged(i) for i in range(self._data.nrow())] |
---|
1385 | t = PL.date2num(dates) |
---|
1386 | tz = timezone('UTC') |
---|
1387 | PL.cla() |
---|
1388 | PL.ioff() |
---|
1389 | PL.clf() |
---|
1390 | # Adjust subplot margins |
---|
1391 | if not self._margins or len(self._margins) != 6: |
---|
1392 | self.set_margin(refresh=False) |
---|
1393 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1394 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1395 | wspace=wsp,hspace=hsp) |
---|
1396 | |
---|
1397 | tdel = max(t) - min(t) # interval in day |
---|
1398 | ax = PL.subplot(2,1,1) |
---|
1399 | el = ma.masked_array(array(self._data.get_elevation())*180./pi, mask) |
---|
1400 | PL.ylabel('El [deg.]') |
---|
1401 | (dstr, timefmt, majloc, minloc) = self._get_date_axis_setup(dates) |
---|
1402 | |
---|
1403 | PL.title(dstr) |
---|
1404 | if tdel == 0.0: |
---|
1405 | th = (t - PL.floor(t))*24.0 |
---|
1406 | PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b') |
---|
1407 | else: |
---|
1408 | PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz) |
---|
1409 | #ax.grid(True) |
---|
1410 | ax.xaxis.set_major_formatter(timefmt) |
---|
1411 | ax.xaxis.set_major_locator(majloc) |
---|
1412 | ax.xaxis.set_minor_locator(minloc) |
---|
1413 | ax.yaxis.grid(True) |
---|
1414 | yloc = MultipleLocator(30) |
---|
1415 | ax.set_ylim(0,90) |
---|
1416 | ax.yaxis.set_major_locator(yloc) |
---|
1417 | if tdel > 1.0: |
---|
1418 | labels = ax.get_xticklabels() |
---|
1419 | # PL.setp(labels, fontsize=10, rotation=45) |
---|
1420 | PL.setp(labels, fontsize=10) |
---|
1421 | |
---|
1422 | # Az plot |
---|
1423 | az = ma.masked_array(array(self._data.get_azimuth())*180./pi, mask) |
---|
1424 | if min(az) < 0: |
---|
1425 | for irow in range(len(az)): |
---|
1426 | if az[irow] < 0: az[irow] += 360.0 |
---|
1427 | |
---|
1428 | ax2 = PL.subplot(2,1,2) |
---|
1429 | #PL.xlabel('Time (UT [hour])') |
---|
1430 | PL.ylabel('Az [deg.]') |
---|
1431 | if tdel == 0.0: |
---|
1432 | PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b') |
---|
1433 | else: |
---|
1434 | PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz) |
---|
1435 | ax2.xaxis.set_major_formatter(timefmt) |
---|
1436 | ax2.xaxis.set_major_locator(majloc) |
---|
1437 | ax2.xaxis.set_minor_locator(minloc) |
---|
1438 | #ax2.grid(True) |
---|
1439 | ax2.set_ylim(0,360) |
---|
1440 | ax2.yaxis.grid(True) |
---|
1441 | #hfmt = DateFormatter('%H') |
---|
1442 | #hloc = HourLocator() |
---|
1443 | yloc = MultipleLocator(60) |
---|
1444 | ax2.yaxis.set_major_locator(yloc) |
---|
1445 | if tdel > 1.0: |
---|
1446 | labels = ax2.get_xticklabels() |
---|
1447 | PL.setp(labels, fontsize=10) |
---|
1448 | PL.xlabel('Time (UT [day])') |
---|
1449 | else: |
---|
1450 | PL.xlabel('Time (UT [hour])') |
---|
1451 | |
---|
1452 | PL.ion() |
---|
1453 | PL.draw() |
---|
1454 | if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show() |
---|
1455 | if (outfile is not None): |
---|
1456 | PL.savefig(outfile) |
---|
1457 | |
---|
1458 | |
---|
1459 | def plotpointing2(self, scan=None, colorby='', showline=False, projection=''): |
---|
1460 | """ |
---|
1461 | plot telescope pointings |
---|
1462 | Parameters: |
---|
1463 | scan : input scantable instance |
---|
1464 | colorby : change color by either |
---|
1465 | 'type'(source type)|'scan'|'if'|'pol'|'beam' |
---|
1466 | showline : show dotted line |
---|
1467 | projection : projection type either |
---|
1468 | ''(no projection [deg])|'coord'(not implemented) |
---|
1469 | """ |
---|
1470 | self._plotmode = "pointing" |
---|
1471 | from numpy import array, pi, ma |
---|
1472 | from asap import scantable |
---|
1473 | # check for scantable |
---|
1474 | if isinstance(scan, scantable): |
---|
1475 | if self._data is not None: |
---|
1476 | if scan != self._data: |
---|
1477 | self._data = scan |
---|
1478 | # reset |
---|
1479 | self._reset() |
---|
1480 | else: |
---|
1481 | self._data = scan |
---|
1482 | self._reset() |
---|
1483 | if not self._data: |
---|
1484 | msg = "Input is not a scantable" |
---|
1485 | raise TypeError(msg) |
---|
1486 | # check for color mode |
---|
1487 | validtypes=['type','scan','if','pol', 'beam'] |
---|
1488 | stype = None |
---|
1489 | if (colorby in validtypes): |
---|
1490 | stype = colorby[0] |
---|
1491 | elif len(colorby) > 0: |
---|
1492 | msg = "Invalid choice of 'colorby' (choices: %s)" % str(validtypes) |
---|
1493 | raise ValueError(msg) |
---|
1494 | self._assert_plotter(action="reload") |
---|
1495 | self._plotter.hold() |
---|
1496 | self._reset_counter() |
---|
1497 | if self.casabar_exists(): |
---|
1498 | self._plotter.figmgr.casabar.disable_button() |
---|
1499 | # for now, only one plot |
---|
1500 | self._plotter.set_panels(rows=1,cols=1) |
---|
1501 | # first panel |
---|
1502 | self._plotter.subplot(0) |
---|
1503 | # first color and linestyles |
---|
1504 | self._plotter.palette(0) |
---|
1505 | self.gca().set_aspect('equal') |
---|
1506 | basesel = scan.get_selection() |
---|
1507 | attrback = self._plotter.get_line() |
---|
1508 | marker = "o" |
---|
1509 | if showline: |
---|
1510 | basesel.set_order(["TIME"]) |
---|
1511 | scan.set_selection(basesel) |
---|
1512 | if not (stype in ["t", "s"]): |
---|
1513 | marker += ":" |
---|
1514 | self._plotter.set_line(markersize=3, markeredgewidth=0) |
---|
1515 | |
---|
1516 | if not stype: |
---|
1517 | selIds = [""] # cheating |
---|
1518 | sellab = "all points" |
---|
1519 | elif stype == 't': |
---|
1520 | selIds = range(15) |
---|
1521 | sellab = "src type " |
---|
1522 | else: |
---|
1523 | selIds = getattr(self._data,'get'+colorby+'nos')() |
---|
1524 | sellab = colorby.upper() |
---|
1525 | selFunc = "set_"+colorby+"s" |
---|
1526 | for idx in selIds: |
---|
1527 | sel = selector() + basesel |
---|
1528 | if stype: |
---|
1529 | bid = getattr(basesel,'get_'+colorby+"s")() |
---|
1530 | if (len(bid) > 0) and (not idx in bid): |
---|
1531 | # base selection doesn't contain idx |
---|
1532 | # Note summation of selector is logical sum if |
---|
1533 | continue |
---|
1534 | getattr(sel, selFunc)([idx]) |
---|
1535 | if not sel.is_empty(): |
---|
1536 | try: |
---|
1537 | self._data.set_selection(sel) |
---|
1538 | except RuntimeError, instance: |
---|
1539 | if stype == 't' and str(instance).startswith("Selection contains no data."): |
---|
1540 | continue |
---|
1541 | else: |
---|
1542 | self._data.set_selection(basesel) |
---|
1543 | raise RuntimeError, instance |
---|
1544 | if self._data.nrow() == 0: |
---|
1545 | self._data.set_selection(basesel) |
---|
1546 | continue |
---|
1547 | #print "Plotting direction of %s = %s" % (colorby, str(idx)) |
---|
1548 | # getting data to plot |
---|
1549 | dir = array(self._data.get_directionval()).transpose() |
---|
1550 | # for flag handling |
---|
1551 | mask = [ self._data._is_all_chan_flagged(i) for i in range(self._data.nrow())] |
---|
1552 | ra = dir[0]*180./pi |
---|
1553 | dec = ma.masked_array(dir[1]*180./pi, mask) |
---|
1554 | # actual plot |
---|
1555 | self._plotter.set_line(label=(sellab+str(idx))) |
---|
1556 | self._plotter.plot(ra,dec,marker) |
---|
1557 | |
---|
1558 | # restore original selection |
---|
1559 | self._data.set_selection(basesel) |
---|
1560 | # need to plot scan pattern explicitly |
---|
1561 | if showline and (stype in ["t", "s"]): |
---|
1562 | dir = array(self._data.get_directionval()).transpose() |
---|
1563 | ra = dir[0]*180./pi |
---|
1564 | dec = dir[1]*180./pi |
---|
1565 | self._plotter.set_line(label="scan pattern") |
---|
1566 | self._plotter.plot(ra,dec,":") |
---|
1567 | # set color for only this line |
---|
1568 | self._plotter.lines[-1][0].set_color("gray") |
---|
1569 | |
---|
1570 | xlab = 'RA [deg.]' |
---|
1571 | ylab = 'Declination [deg.]' |
---|
1572 | self._plotter.set_axes('xlabel', xlab) |
---|
1573 | self._plotter.set_axes('ylabel', ylab) |
---|
1574 | self._plotter.set_axes('title', 'Telescope pointings') |
---|
1575 | if stype: self._plotter.legend(self._legendloc) |
---|
1576 | else: self._plotter.legend(None) |
---|
1577 | # reverse x-axis |
---|
1578 | xmin, xmax = self.gca().get_xlim() |
---|
1579 | ymin, ymax = self.gca().get_ylim() |
---|
1580 | # expand plotrange if xmin==xmax or ymin==ymax |
---|
1581 | if abs(ymax-ymin) < 1.e-3: #~4arcsec |
---|
1582 | delx = 0.5*abs(xmax - xmin) |
---|
1583 | if delx < 5.e-4: |
---|
1584 | dxy = 5.e-4 #~2arcsec |
---|
1585 | (ymin, ymax) = (ymin-dxy, ymax+dxy) |
---|
1586 | (xmin, xmax) = (xmin-dxy, xmax+dxy) |
---|
1587 | (ymin, ymax) = (ymin-delx, ymax+delx) |
---|
1588 | elif abs(xmax-xmin) < 1.e-3: |
---|
1589 | dely = 0.5*abs(ymax - ymin) |
---|
1590 | (xmin, xmax) = (xmin-dely, xmax+dely) |
---|
1591 | self._plotter.set_limits(xlim=[xmax,xmin], ylim=[ymin, ymax]) |
---|
1592 | |
---|
1593 | self._plotter.release() |
---|
1594 | self._plotter.show(hardrefresh=False) |
---|
1595 | # reset line settings |
---|
1596 | self._plotter.set_line(**attrback) |
---|
1597 | return |
---|
1598 | |
---|
1599 | def plotpointing(self, scan=None, outfile=None): |
---|
1600 | """ |
---|
1601 | plot telescope pointings |
---|
1602 | """ |
---|
1603 | visible = rcParams['plotter.gui'] |
---|
1604 | from matplotlib import pylab as PL |
---|
1605 | from numpy import array, pi |
---|
1606 | if self._plotter and (PL.gcf() == self._plotter.figure): |
---|
1607 | # the current figure is ASAP plotter. Use mpl plotter |
---|
1608 | figids = PL.get_fignums() |
---|
1609 | PL.figure(max(figids[-1],1)) |
---|
1610 | |
---|
1611 | if not visible or not self._visible: |
---|
1612 | PL.ioff() |
---|
1613 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1614 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1615 | self._data = scan |
---|
1616 | dir = array(self._data.get_directionval()).transpose() |
---|
1617 | ra = dir[0]*180./pi |
---|
1618 | dec = dir[1]*180./pi |
---|
1619 | PL.cla() |
---|
1620 | #PL.ioff() |
---|
1621 | PL.clf() |
---|
1622 | # Adjust subplot margins |
---|
1623 | if not self._margins or len(self._margins) != 6: |
---|
1624 | self.set_margin(refresh=False) |
---|
1625 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1626 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1627 | wspace=wsp,hspace=hsp) |
---|
1628 | ax = PL.gca() |
---|
1629 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1630 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1631 | ax.set_aspect('equal') |
---|
1632 | PL.plot(ra, dec, 'b,') |
---|
1633 | PL.xlabel('RA [deg.]') |
---|
1634 | PL.ylabel('Declination [deg.]') |
---|
1635 | PL.title('Telescope pointings') |
---|
1636 | [xmin,xmax,ymin,ymax] = PL.axis() |
---|
1637 | PL.axis([xmax,xmin,ymin,ymax]) |
---|
1638 | PL.ion() |
---|
1639 | PL.draw() |
---|
1640 | if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show() |
---|
1641 | if (outfile is not None): |
---|
1642 | PL.savefig(outfile) |
---|
1643 | |
---|
1644 | # plot total power data |
---|
1645 | # plotting in time is not yet implemented.. |
---|
1646 | @asaplog_post_dec |
---|
1647 | def plottp(self, scan=None, colorby=''): |
---|
1648 | """ |
---|
1649 | Plot averaged spectra (total power) in time or in row ID (colorby='') |
---|
1650 | Parameters: |
---|
1651 | scan : input scantable instance |
---|
1652 | colorby : change color by either |
---|
1653 | 'type'(source type)|'scan'|'if'|'pol'|'beam'|'' |
---|
1654 | """ |
---|
1655 | self._plotmode = "totalpower" |
---|
1656 | from asap import scantable |
---|
1657 | if not self._data and not scan: |
---|
1658 | msg = "Input is not a scantable" |
---|
1659 | raise TypeError(msg) |
---|
1660 | if isinstance(scan, scantable): |
---|
1661 | if self._data is not None: |
---|
1662 | if scan != self._data: |
---|
1663 | self._data = scan |
---|
1664 | # reset |
---|
1665 | self._reset() |
---|
1666 | else: |
---|
1667 | self._data = scan |
---|
1668 | self._reset() |
---|
1669 | # ranges become invalid when abcissa changes? |
---|
1670 | #if self._abcunit and self._abcunit != self._data.get_unit(): |
---|
1671 | # self._minmaxx = None |
---|
1672 | # self._minmaxy = None |
---|
1673 | # self._abcunit = self._data.get_unit() |
---|
1674 | |
---|
1675 | self._assert_plotter(action="reload") |
---|
1676 | self._plotter.hold() |
---|
1677 | self._plotter.clear() |
---|
1678 | # Adjust subplot margins |
---|
1679 | if not self._margins or len(self._margins) !=6: |
---|
1680 | self.set_margin(refresh=False) |
---|
1681 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1682 | self._plotter.figure.subplots_adjust( |
---|
1683 | left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp) |
---|
1684 | if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button() |
---|
1685 | if len(colorby) == 0: |
---|
1686 | self._plottp(self._data) |
---|
1687 | else: |
---|
1688 | self._plottp_in_time(self._data,colorby) |
---|
1689 | if self._minmaxy is not None: |
---|
1690 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
1691 | self._plotter.release() |
---|
1692 | self._plotter.tidy() |
---|
1693 | self._plotter.show(hardrefresh=False) |
---|
1694 | return |
---|
1695 | |
---|
1696 | def _plottp_in_time(self,scan,colorby): |
---|
1697 | """ |
---|
1698 | private method for plotting total power data in time |
---|
1699 | Parameters: |
---|
1700 | scan : input scantable instance |
---|
1701 | colorby : change color by either |
---|
1702 | 'type'(source type)|'scan'|'if'|'pol'|'beam' |
---|
1703 | """ |
---|
1704 | from numpy import ma, array, arange, logical_not |
---|
1705 | r=0 |
---|
1706 | nr = scan.nrow() |
---|
1707 | a0,b0 = -1,-1 |
---|
1708 | allxlim = [] |
---|
1709 | allylim = [] |
---|
1710 | y=[] |
---|
1711 | self._plotter.set_panels() |
---|
1712 | self._plotter.palette(0) |
---|
1713 | # check of overlay settings |
---|
1714 | time_types = ['type','scan'] # time dependent meta-data |
---|
1715 | misc_types = ['if','pol','beam'] # time independent meta-data |
---|
1716 | validtypes=time_types + misc_types |
---|
1717 | stype = None |
---|
1718 | col_msg = "Invalid choice of 'colorby' (choices: %s)" % str(validtypes) |
---|
1719 | colorby = colorby.lower() |
---|
1720 | if (colorby in validtypes): |
---|
1721 | stype = colorby[0] |
---|
1722 | elif len(colorby) > 0: |
---|
1723 | raise ValueError(col_msg) |
---|
1724 | if not stype: |
---|
1725 | raise ValueError(col_msg) |
---|
1726 | # Selection and sort order |
---|
1727 | basesel = scan.get_selection() |
---|
1728 | if colorby in misc_types: misc_types.pop(misc_types.index(colorby)) |
---|
1729 | sel_lbl = "" |
---|
1730 | for meta in misc_types: |
---|
1731 | idx = getattr(scan,'get'+meta+'nos')() |
---|
1732 | if len(idx) > 1: getattr(basesel, 'set_'+meta+'s')([idx[0]]) |
---|
1733 | sel_lbl += ("%s%d, " % (meta.upper(), idx[0])) |
---|
1734 | sel_lbl = sel_lbl.rstrip(', ') |
---|
1735 | scan.set_selection(basesel) |
---|
1736 | if len(sel_lbl) > 0: |
---|
1737 | asaplog.push("Selection contains multiple IFs/Pols/Beams. Plotting the first ones: %s" % sel_lbl) |
---|
1738 | asaplog.post("WARN") |
---|
1739 | if stype == 't': |
---|
1740 | selIds = range(15) |
---|
1741 | sellab = "src type " |
---|
1742 | else: |
---|
1743 | selIds = getattr(scan,'get'+colorby+'nos')() |
---|
1744 | sellab = colorby.upper() |
---|
1745 | selFunc = "set_"+colorby+"s" |
---|
1746 | basesel.set_order(["TIME"]) |
---|
1747 | # define axes labels |
---|
1748 | xlab = self._abcissa or 'Time (UTC)' |
---|
1749 | ylab = self._ordinate or scan._get_ordinate_label() |
---|
1750 | self._plotter.set_axes('xlabel',xlab) |
---|
1751 | self._plotter.set_axes('ylabel',ylab) |
---|
1752 | # define the panel title |
---|
1753 | if len(sel_lbl) > 0: lbl = sel_lbl |
---|
1754 | else: lbl = self._get_label(scan, r, 's', self._title) |
---|
1755 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1756 | # get default label |
---|
1757 | lbl = self._get_label(scan, r, self._panelling, None) |
---|
1758 | self._plotter.set_axes('title',lbl) |
---|
1759 | # linestyle |
---|
1760 | lstyle = '' if colorby in time_types else ':' |
---|
1761 | alldates = [] |
---|
1762 | for idx in selIds: |
---|
1763 | sel = selector() + basesel |
---|
1764 | bid = getattr(basesel,'get_'+colorby+"s")() |
---|
1765 | if (len(bid) > 0) and (not idx in bid): |
---|
1766 | # base selection doesn't contain idx |
---|
1767 | # Note summation of selector is logical sum if |
---|
1768 | continue |
---|
1769 | getattr(sel, selFunc)([idx]) |
---|
1770 | if not sel.is_empty(): |
---|
1771 | try: |
---|
1772 | scan.set_selection(sel) |
---|
1773 | except RuntimeError, instance: |
---|
1774 | if stype == 't' and str(instance).startswith("Selection contains no data."): |
---|
1775 | continue |
---|
1776 | else: |
---|
1777 | scan.set_selection(basesel) |
---|
1778 | raise RuntimeError, instance |
---|
1779 | if scan.nrow() == 0: |
---|
1780 | scan.set_selection(basesel) |
---|
1781 | continue |
---|
1782 | y=array(scan._get_column(scan._getspectrum,-1)) |
---|
1783 | m = array(scan._get_column(scan._getmask,-1)) |
---|
1784 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1785 | # try to handle spectral data somewhat... |
---|
1786 | try: |
---|
1787 | l,m = y.shape |
---|
1788 | except ValueError, e: |
---|
1789 | raise ValueError(str(e)+" This error usually occurs when you select multiple spws with different number of channels. Try selecting single spw and retry.") |
---|
1790 | if m > 1: |
---|
1791 | y=y.mean(axis=1) |
---|
1792 | # flag handling |
---|
1793 | m = [ scan._is_all_chan_flagged(i) for i in range(scan.nrow()) ] |
---|
1794 | y = ma.masked_array(y,mask=m) |
---|
1795 | if len(y) == 0: continue |
---|
1796 | # line label |
---|
1797 | llbl=sellab+str(idx) |
---|
1798 | from matplotlib.dates import date2num |
---|
1799 | from pytz import timezone |
---|
1800 | dates = self._data.get_time(asdatetime=True) |
---|
1801 | alldates += list(dates) |
---|
1802 | x = date2num(dates) |
---|
1803 | tz = timezone('UTC') |
---|
1804 | # get color |
---|
1805 | lc = self._plotter.colormap[self._plotter.color] |
---|
1806 | self._plotter.palette( (self._plotter.color+1) % len(self._plotter.colormap) ) |
---|
1807 | # actual plotting |
---|
1808 | self._plotter.axes.plot_date(x,y,tz=tz,label=llbl,linestyle=lstyle,color=lc, |
---|
1809 | marker='o',markersize=3,markeredgewidth=0) |
---|
1810 | |
---|
1811 | # legend and axis formatting |
---|
1812 | (dstr, timefmt, majloc, minloc) = self._get_date_axis_setup(alldates) |
---|
1813 | ax = self.gca() |
---|
1814 | ax.xaxis.set_major_formatter(timefmt) |
---|
1815 | ax.xaxis.set_major_locator(majloc) |
---|
1816 | ax.xaxis.set_minor_locator(minloc) |
---|
1817 | self._plotter.axes.legend(loc=self._legendloc) |
---|
1818 | |
---|
1819 | def _plottp(self,scan): |
---|
1820 | """ |
---|
1821 | private method for plotting total power data |
---|
1822 | """ |
---|
1823 | from numpy import ma, array, arange, logical_not |
---|
1824 | r=0 |
---|
1825 | nr = scan.nrow() |
---|
1826 | a0,b0 = -1,-1 |
---|
1827 | allxlim = [] |
---|
1828 | allylim = [] |
---|
1829 | y=[] |
---|
1830 | self._plotter.set_panels() |
---|
1831 | self._plotter.palette(0) |
---|
1832 | #title |
---|
1833 | #xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
1834 | # or scan._getabcissalabel() |
---|
1835 | #ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
1836 | # or scan._get_ordinate_label() |
---|
1837 | xlab = self._abcissa or 'row number' #or Time |
---|
1838 | ylab = self._ordinate or scan._get_ordinate_label() |
---|
1839 | self._plotter.set_axes('xlabel',xlab) |
---|
1840 | self._plotter.set_axes('ylabel',ylab) |
---|
1841 | lbl = self._get_label(scan, r, 's', self._title) |
---|
1842 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1843 | # if 0 <= panelcount < len(lbl): |
---|
1844 | # lbl = lbl[panelcount] |
---|
1845 | # else: |
---|
1846 | # get default label |
---|
1847 | lbl = self._get_label(scan, r, self._panelling, None) |
---|
1848 | self._plotter.set_axes('title',lbl) |
---|
1849 | y=array(scan._get_column(scan._getspectrum,-1)) |
---|
1850 | m = array(scan._get_column(scan._getmask,-1)) |
---|
1851 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1852 | x = arange(len(y)) |
---|
1853 | # try to handle spectral data somewhat... |
---|
1854 | try: |
---|
1855 | l,m = y.shape |
---|
1856 | except ValueError, e: |
---|
1857 | raise ValueError(str(e)+" This error usually occurs when you select multiple spws with different number of channels. Try selecting single spw and retry.") |
---|
1858 | if m > 1: |
---|
1859 | y=y.mean(axis=1) |
---|
1860 | # flag handling |
---|
1861 | m = [ scan._is_all_chan_flagged(i) for i in range(scan.nrow()) ] |
---|
1862 | y = ma.masked_array(y,mask=m) |
---|
1863 | plotit = self._plotter.plot |
---|
1864 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1865 | self._plotter.set_line(label=llbl) |
---|
1866 | if len(x) > 0: |
---|
1867 | plotit(x,y) |
---|
1868 | |
---|
1869 | |
---|
1870 | # printing header information |
---|
1871 | @asaplog_post_dec |
---|
1872 | def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''): |
---|
1873 | """ |
---|
1874 | print data (scantable) header on the plot and/or logger. |
---|
1875 | To plot the header on the plot, this method should be called after |
---|
1876 | plotting spectra by the method, asapplotter.plot. |
---|
1877 | Parameters: |
---|
1878 | plot: whether or not print header info on the plot. |
---|
1879 | fontsize: header font size (valid only plot=True) |
---|
1880 | logger: whether or not print header info on the logger. |
---|
1881 | selstr: additional selection string (not verified) |
---|
1882 | extrastr: additional string to print at the beginning (not verified) |
---|
1883 | """ |
---|
1884 | if not plot and not logger: |
---|
1885 | return |
---|
1886 | if not self._data: |
---|
1887 | raise RuntimeError("No scantable has been set yet.") |
---|
1888 | # Now header will be printed on plot and/or logger. |
---|
1889 | # Get header information and format it. |
---|
1890 | ssum=self._data._list_header() |
---|
1891 | # Print Observation header to the upper-left corner of plot |
---|
1892 | headstr=[ssum[0:ssum.find('Obs. Type:')]] |
---|
1893 | headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')]) |
---|
1894 | if extrastr != '': |
---|
1895 | headstr[0]=extrastr+'\n'+headstr[0] |
---|
1896 | self._headtext['extrastr'] = extrastr |
---|
1897 | if selstr != '': |
---|
1898 | selstr += '\n' |
---|
1899 | self._headtext['selstr'] = selstr |
---|
1900 | #ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none') |
---|
1901 | curr_selstr = selstr+self._data.get_selection().__str__() or "none" |
---|
1902 | ssel=(curr_selstr+"\n" +self._selection.__str__()) |
---|
1903 | headstr.append('\n\n***Selections***\n'+ssel.replace('$','\$')) |
---|
1904 | |
---|
1905 | if plot: |
---|
1906 | errmsg = "Can plot header only after the first call to plot()." |
---|
1907 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
1908 | self._plotter.hold() |
---|
1909 | self._header_plot(headstr,fontsize=fontsize) |
---|
1910 | #import time |
---|
1911 | #self._plotter.figure.text(0.99,0.01, |
---|
1912 | # time.strftime("%a %d %b %Y %H:%M:%S %Z"), |
---|
1913 | # horizontalalignment='right', |
---|
1914 | # verticalalignment='bottom',fontsize=8) |
---|
1915 | self._plotter.release() |
---|
1916 | if logger: |
---|
1917 | selstr = "Selections: "+ssel |
---|
1918 | asaplog.push("----------------\n Plot Summary\n----------------") |
---|
1919 | asaplog.push(extrastr) |
---|
1920 | asaplog.push(ssum[0:ssum.find('Selection:')]\ |
---|
1921 | + selstr) |
---|
1922 | self._headtext['string'] = headstr |
---|
1923 | del ssel, ssum, headstr |
---|
1924 | |
---|
1925 | def _header_plot(self, texts, fontsize=9): |
---|
1926 | self._headtext['textobj']=[] |
---|
1927 | nstcol=len(texts) |
---|
1928 | for i in range(nstcol): |
---|
1929 | self._headtext['textobj'].append( |
---|
1930 | self._plotter.figure.text(0.03+float(i)/nstcol,0.98, |
---|
1931 | texts[i], |
---|
1932 | horizontalalignment='left', |
---|
1933 | verticalalignment='top', |
---|
1934 | fontsize=fontsize)) |
---|
1935 | |
---|
1936 | def clear_header(self): |
---|
1937 | if not self._headtext['textobj']: |
---|
1938 | asaplog.push("No header has been plotted. Exit without any operation") |
---|
1939 | asaplog.post("WARN") |
---|
1940 | elif self._assert_plotter(action="status"): |
---|
1941 | self._plotter.hold() |
---|
1942 | for textobj in self._headtext['textobj']: |
---|
1943 | #if textobj.get_text() in self._headstring: |
---|
1944 | try: |
---|
1945 | textobj.remove() |
---|
1946 | except NotImplementedError: |
---|
1947 | self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj)) |
---|
1948 | self._plotter.release() |
---|
1949 | self._reset_header() |
---|
1950 | |
---|
1951 | # plot spectra by pointing |
---|
1952 | @asaplog_post_dec |
---|
1953 | def plotgrid(self, scan=None,center="",spacing=[],rows=None,cols=None): |
---|
1954 | """ |
---|
1955 | Plot spectra based on direction. |
---|
1956 | |
---|
1957 | Parameters: |
---|
1958 | scan: a scantable to plot |
---|
1959 | center: the grid center direction (a string) |
---|
1960 | (default) the center of map region |
---|
1961 | (example) 'J2000 19h30m00s -25d00m00s' |
---|
1962 | spacing: a list of horizontal (R.A.) and vertical (Dec.) |
---|
1963 | spacing. |
---|
1964 | (default) Calculated by the extent of map region and |
---|
1965 | (example) ['1arcmin', '1arcmin'] |
---|
1966 | the number of rows and cols to cover |
---|
1967 | rows: number of panels (grid points) in horizontal direction |
---|
1968 | cols: number of panels (grid points) in vertical direction |
---|
1969 | |
---|
1970 | Note: |
---|
1971 | - Only the first IFNO, POLNO, and BEAM in the scantable will be |
---|
1972 | plotted. |
---|
1973 | - This method doesn't re-grid and average spectra in scantable. Use |
---|
1974 | asapgrid module to re-grid spectra before plotting with this method. |
---|
1975 | Only the first spectrum is plotted in case there are multiple |
---|
1976 | spectra which belong to a grid. |
---|
1977 | """ |
---|
1978 | self._plotmode = "grid" |
---|
1979 | from asap import scantable |
---|
1980 | from numpy import array, ma, cos |
---|
1981 | if not self._data and not scan: |
---|
1982 | msg = "No scantable is specified to plot" |
---|
1983 | raise TypeError(msg) |
---|
1984 | if scan: |
---|
1985 | self.set_data(scan, refresh=False) |
---|
1986 | del scan |
---|
1987 | |
---|
1988 | # Rows and cols |
---|
1989 | if (self._rows is None): |
---|
1990 | rows = max(1, rows) |
---|
1991 | if (self._cols is None): |
---|
1992 | cols = max(1, cols) |
---|
1993 | self.set_layout(rows,cols,False) |
---|
1994 | |
---|
1995 | # Select the first IF, POL, and BEAM for plotting |
---|
1996 | ntotpl = self._rows * self._cols |
---|
1997 | ifs = self._data.getifnos() |
---|
1998 | if len(ifs) > 1: |
---|
1999 | msg = "Found multiple IFs in scantable. Only the first IF (IFNO=%d) will be plotted." % ifs[0] |
---|
2000 | asaplog.post() |
---|
2001 | asaplog.push(msg) |
---|
2002 | asaplog.post("WARN") |
---|
2003 | pols = self._data.getpolnos() |
---|
2004 | if len(pols) > 1: |
---|
2005 | msg = "Found multiple POLs in scantable. Only the first POL (POLNO=%d) will be plotted." % pols[0] |
---|
2006 | asaplog.post() |
---|
2007 | asaplog.push(msg) |
---|
2008 | asaplog.post("WARN") |
---|
2009 | beams = self._data.getbeamnos() |
---|
2010 | if len(beams) > 1: |
---|
2011 | msg = "Found multiple BEAMs in scantable. Only the first BEAM (BEAMNO=%d) will be plotted." % beams[0] |
---|
2012 | asaplog.post() |
---|
2013 | asaplog.push(msg) |
---|
2014 | asaplog.post("WARN") |
---|
2015 | self._data.set_selection(ifs=[ifs[0]],pols=[pols[0]],beams=[beams[0]]) |
---|
2016 | if self._data.nrow() > ntotpl: |
---|
2017 | msg = "Scantable is finely sampled than plotting grids. "\ |
---|
2018 | + "Only the first spectrum is plotted in each grid." |
---|
2019 | asaplog.post() |
---|
2020 | asaplog.push(msg) |
---|
2021 | asaplog.post("WARN") |
---|
2022 | |
---|
2023 | # Prepare plotter |
---|
2024 | self._assert_plotter(action="reload") |
---|
2025 | self._plotter.hold() |
---|
2026 | self._reset_counter() |
---|
2027 | self._plotter.legend() |
---|
2028 | |
---|
2029 | # Adjust subplot margins |
---|
2030 | if not self._margins or len(self._margins) !=6: |
---|
2031 | self.set_margin(refresh=False) |
---|
2032 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
2033 | nplots=ntotpl,margin=self._margins,ganged=True) |
---|
2034 | if self.casabar_exists(): |
---|
2035 | self._plotter.figmgr.casabar.enable_button() |
---|
2036 | # Plot helper |
---|
2037 | from asap._asap import plothelper as plhelper |
---|
2038 | ph = plhelper(self._data) |
---|
2039 | #ph.set_gridval(self._cols, self._rows, spacing[0], spacing[1], |
---|
2040 | # center[0], center[1], epoch="J2000", projname="SIN") |
---|
2041 | if type(spacing) in (list, tuple, array): |
---|
2042 | if len(spacing) == 0: |
---|
2043 | spacing = ["", ""] |
---|
2044 | elif len(spacing) == 1: |
---|
2045 | spacing = [spacing[0], spacing[0]] |
---|
2046 | else: |
---|
2047 | spacing = [spacing, spacing] |
---|
2048 | ph.set_grid(self._cols, self._rows, spacing[0], spacing[1], \ |
---|
2049 | center, projname="SIN") |
---|
2050 | |
---|
2051 | # Actual plot |
---|
2052 | npl = 0 |
---|
2053 | for irow in range(self._data.nrow()): |
---|
2054 | (ix, iy) = ph.get_gpos(irow) |
---|
2055 | #print("asapplotter.plotgrid: (ix, iy) = (%f, %f)" % (ix, iy)) |
---|
2056 | if ix < 0 or ix >= self._cols: |
---|
2057 | #print "Row %d : Out of X-range (x = %f) ... skipped" % (irow, pos[0]) |
---|
2058 | continue |
---|
2059 | ix = int(ix) |
---|
2060 | if iy < 0 or iy >= self._rows: |
---|
2061 | #print "Row %d : Out of Y-range (y = %f) ... skipped" % (irow,pos[1]) |
---|
2062 | continue |
---|
2063 | iy = int(iy) |
---|
2064 | ipanel = ix + iy*self._rows |
---|
2065 | #print("Resolved panel Id (%d, %d): %d" % (ix, iy, ipanel)) |
---|
2066 | if len(self._plotter.subplots[ipanel]['lines']) > 0: |
---|
2067 | #print "Row %d : panel %d lready plotted ... skipped" % (irow,ipanel) |
---|
2068 | # a spectrum already plotted in the panel |
---|
2069 | continue |
---|
2070 | # Plotting this row |
---|
2071 | #print "PLOTTING row %d (panel=%d)" % (irow, ipanel) |
---|
2072 | npl += 1 |
---|
2073 | self._plotter.subplot(ipanel) |
---|
2074 | self._plotter.palette(0,colormap=self._colormap, \ |
---|
2075 | linestyle=0,linestyles=self._linestyles) |
---|
2076 | xlab = self._abcissa and self._abcissa[ipanel] \ |
---|
2077 | or self._data._getabcissalabel(irow) |
---|
2078 | if self._offset and not self._abcissa: |
---|
2079 | xlab += " (relative)" |
---|
2080 | ylab = self._ordinate and self._ordinate[ipanel] \ |
---|
2081 | or self._data._get_ordinate_label() |
---|
2082 | self._plotter.set_axes('xlabel', xlab) |
---|
2083 | self._plotter.set_axes('ylabel', ylab) |
---|
2084 | lbl = self._data.get_direction(irow) |
---|
2085 | self._plotter.set_axes('title',lbl) |
---|
2086 | |
---|
2087 | y = self._data._getspectrum(irow) |
---|
2088 | # flag application |
---|
2089 | mr = self._data._getflagrow(irow) |
---|
2090 | if mr: # FLAGROW=True |
---|
2091 | y = ma.masked_array(y,mask=mr) |
---|
2092 | else: |
---|
2093 | m = self._data._getmask(irow) |
---|
2094 | from numpy import logical_not, logical_and |
---|
2095 | ### user mask is not available so far |
---|
2096 | #if self._maskselection and len(self._usermask) == len(m): |
---|
2097 | # if d[self._stacking](irow) in self._maskselection[self._stacking]: |
---|
2098 | # m = logical_and(m, self._usermask) |
---|
2099 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
2100 | |
---|
2101 | x = array(self._data._getabcissa(irow)) |
---|
2102 | if self._offset: |
---|
2103 | x += self._offset |
---|
2104 | if self._minmaxx is not None: |
---|
2105 | s,e = self._slice_indeces(x) |
---|
2106 | x = x[s:e] |
---|
2107 | y = y[s:e] |
---|
2108 | if len(x) > 1024 and rcParams['plotter.decimate']: |
---|
2109 | fac = len(x)/1024 |
---|
2110 | x = x[::fac] |
---|
2111 | y = y[::fac] |
---|
2112 | self._plotter.set_line(label=lbl) |
---|
2113 | plotit = self._plotter.plot |
---|
2114 | if self._hist: plotit = self._plotter.hist |
---|
2115 | if len(x) > 0 and not mr: |
---|
2116 | plotit(x,y) |
---|
2117 | # xlim= self._minmaxx or [min(x),max(x)] |
---|
2118 | # allxlim += xlim |
---|
2119 | # ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)] |
---|
2120 | # allylim += ylim |
---|
2121 | # else: |
---|
2122 | # xlim = self._minmaxx or [] |
---|
2123 | # allxlim += xlim |
---|
2124 | # ylim= self._minmaxy or [] |
---|
2125 | # allylim += ylim |
---|
2126 | |
---|
2127 | if npl >= ntotpl: |
---|
2128 | break |
---|
2129 | |
---|
2130 | if self._minmaxy is not None: |
---|
2131 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
2132 | self._plotter.release() |
---|
2133 | self._plotter.tidy() |
---|
2134 | self._plotter.show(hardrefresh=False) |
---|
2135 | return |
---|