1 | from asap import rcParams |
---|
2 | from numarray import logical_and |
---|
3 | |
---|
4 | class asapplotter: |
---|
5 | """ |
---|
6 | The ASAP plotter. |
---|
7 | By default the plotter is set up to plot polarisations |
---|
8 | 'colour stacked' and scantables across panels. |
---|
9 | Note: |
---|
10 | Currenly it only plots 'spectra' not Tsys or |
---|
11 | other variables. |
---|
12 | """ |
---|
13 | def __init__(self, visible=True): |
---|
14 | |
---|
15 | if visible: |
---|
16 | from asap.asaplotgui import asaplotgui as asaplot |
---|
17 | else: |
---|
18 | from asap.asaplot import asaplot |
---|
19 | self._plotter = asaplot() |
---|
20 | |
---|
21 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'} |
---|
22 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'} |
---|
23 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'} |
---|
24 | self._pdict = {'Pol':'p','pol':'p','p':'p'} |
---|
25 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'} |
---|
26 | self._cdict = {'t':'len(self._cursor["t"])', |
---|
27 | 'b':'len(self._cursor["b"])', |
---|
28 | 'i':'len(self._cursor["i"])', |
---|
29 | 'p':'len(self._cursor["p"])', |
---|
30 | 's':'len(scans)'} |
---|
31 | self._ldict = {'b':'Beam', |
---|
32 | 'i':'IF', |
---|
33 | 'p':'Pol', |
---|
34 | 's':'Scan'} |
---|
35 | self._dicts = [self._tdict,self._bdict, |
---|
36 | self._idict,self._pdict, |
---|
37 | self._sdict] |
---|
38 | self._panelling = None |
---|
39 | self._stacking = None |
---|
40 | self.set_panelling() |
---|
41 | self.set_stacking() |
---|
42 | self._rows = None |
---|
43 | self._cols = None |
---|
44 | self._autoplot = False |
---|
45 | self._minmaxx = None |
---|
46 | self._minmaxy = None |
---|
47 | self._datamask = None |
---|
48 | self._data = None |
---|
49 | self._lmap = None |
---|
50 | self._title = None |
---|
51 | self._ordinate = None |
---|
52 | self._abcissa = None |
---|
53 | self._abcunit = None |
---|
54 | self._cursor = {'t':None, 'b':None, |
---|
55 | 'i':None, 'p':None |
---|
56 | } |
---|
57 | |
---|
58 | def _translate(self, name): |
---|
59 | for d in self._dicts: |
---|
60 | if d.has_key(name): |
---|
61 | return d[name] |
---|
62 | return None |
---|
63 | |
---|
64 | def plot(self, *args): |
---|
65 | """ |
---|
66 | Plot a (list of) scantables. |
---|
67 | Parameters: |
---|
68 | one or more comma separated scantables |
---|
69 | Note: |
---|
70 | If a (list) of scantables was specified in a previous call |
---|
71 | to plot, no argument has to be given to 'replot' |
---|
72 | NO checking is done that the abcissas of the scantables |
---|
73 | are consistent e.g. all 'channel' or all 'velocity' etc. |
---|
74 | """ |
---|
75 | if self._plotter.is_dead: |
---|
76 | self._plotter = ASAPlot() |
---|
77 | self._plotter.hold() |
---|
78 | self._plotter.clear() |
---|
79 | if len(args) > 0: |
---|
80 | if self._data is not None: |
---|
81 | if list(args) != self._data: |
---|
82 | self._data = list(args) |
---|
83 | # reset cursor |
---|
84 | self.set_cursor(refresh=False) |
---|
85 | else: |
---|
86 | self._data = list(args) |
---|
87 | self.set_cursor(refresh=False) |
---|
88 | # ranges become invalid when unit changes |
---|
89 | if self._abcunit != self._data[0].get_unit(): |
---|
90 | self._minmaxx = None |
---|
91 | self._minmaxy = None |
---|
92 | self._abcunit = self._data[0].get_unit() |
---|
93 | self._datamask = None |
---|
94 | if self._panelling == 't': |
---|
95 | maxrows = 25 |
---|
96 | if self._data[0].nrow() > maxrows: |
---|
97 | if self._cursor["t"] is None or \ |
---|
98 | (isinstance(self._cursor["t"],list) and \ |
---|
99 | len(self._cursor["t"]) > maxrows ): |
---|
100 | print "Scan to be plotted contains more than %d rows.\n" \ |
---|
101 | "Selecting first %d rows..." % (maxrows,maxrows) |
---|
102 | self._cursor["t"] = range(maxrows) |
---|
103 | self._plot_time(self._data[0], self._stacking) |
---|
104 | elif self._panelling == 's': |
---|
105 | self._plot_scans(self._data, self._stacking) |
---|
106 | else: |
---|
107 | self._plot_other(self._data, self._stacking) |
---|
108 | if self._minmaxy is not None: |
---|
109 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
110 | self._plotter.release() |
---|
111 | return |
---|
112 | |
---|
113 | def _plot_time(self, scan, colmode): |
---|
114 | if colmode == 't': |
---|
115 | return |
---|
116 | n = len(self._cursor["t"]) |
---|
117 | cdict = {'b':'scan.setbeam(j)', |
---|
118 | 'i':'scan.setif(j)', |
---|
119 | 'p':'scan.setpol(j)'} |
---|
120 | cdict2 = {'b':'self._cursor["b"]', |
---|
121 | 'i':'self._cursor["i"]', |
---|
122 | 'p':'self._cursor["p"]'} |
---|
123 | ncol = 1 |
---|
124 | if self._stacking is not None: |
---|
125 | ncol = eval(self._cdict.get(colmode)) |
---|
126 | if n > 1: |
---|
127 | if self._rows and self._cols: |
---|
128 | n = min(n,self._rows*self._cols) |
---|
129 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
130 | nplots=n) |
---|
131 | else: |
---|
132 | self._plotter.set_panels(rows=n,cols=0,nplots=n) |
---|
133 | else: |
---|
134 | self._plotter.set_panels() |
---|
135 | rows = self._cursor["t"] |
---|
136 | self._plotter.palette(0) |
---|
137 | for rowsel in rows: |
---|
138 | i = self._cursor["t"].index(rowsel) |
---|
139 | if n > 1: |
---|
140 | self._plotter.palette(0) |
---|
141 | self._plotter.subplot(i) |
---|
142 | colvals = eval(cdict2.get(colmode)) |
---|
143 | for j in colvals: |
---|
144 | polmode = "raw" |
---|
145 | jj = colvals.index(j) |
---|
146 | savej = j |
---|
147 | for k in cdict.keys(): |
---|
148 | sel = eval(cdict2.get(k)) |
---|
149 | j = sel[0] |
---|
150 | if k == "p": |
---|
151 | which = self._cursor["p"].index(j) |
---|
152 | polmode = self._polmode[which] |
---|
153 | j = which |
---|
154 | eval(cdict.get(k)) |
---|
155 | j = savej |
---|
156 | if colmode == "p": |
---|
157 | polmode = self._polmode[self._cursor["p"].index(j)] |
---|
158 | #j = jj |
---|
159 | eval(cdict.get(colmode)) |
---|
160 | x = None |
---|
161 | y = None |
---|
162 | m = None |
---|
163 | if self._title is None: |
---|
164 | tlab = scan._getsourcename(rowsel) |
---|
165 | else: |
---|
166 | if len(self._title) >= n: |
---|
167 | tlab = self._title[rowsel] |
---|
168 | else: |
---|
169 | tlab = scan._getsourcename(rowsel) |
---|
170 | x,xlab = scan.get_abcissa(rowsel) |
---|
171 | if self._abcissa: xlab = self._abcissa |
---|
172 | y = None |
---|
173 | if polmode == "stokes": |
---|
174 | y = scan._getstokesspectrum(rowsel) |
---|
175 | elif polmode == "stokes2": |
---|
176 | y = scan._getstokesspectrum(rowsel,True) |
---|
177 | elif polmode == "circular": |
---|
178 | y = scan._stokestopolspectrum(rowsel,False,-1) |
---|
179 | else: |
---|
180 | y = scan._getspectrum(rowsel) |
---|
181 | if self._ordinate: |
---|
182 | ylab = self._ordinate |
---|
183 | else: |
---|
184 | ylab = scan._get_ordinate_label() |
---|
185 | m = scan._getmask(rowsel) |
---|
186 | if self._datamask is not None: |
---|
187 | if len(m) == len(self._datamask): |
---|
188 | m = logical_and(m,self._datamask) |
---|
189 | if self._lmap and len(self._lmap) > 0: |
---|
190 | llab = self._lmap[jj] |
---|
191 | else: |
---|
192 | if colmode == 'p': |
---|
193 | llab = self._get_pollabel(scan, polmode) |
---|
194 | else: |
---|
195 | llab = self._ldict.get(colmode)+' '+str(j) |
---|
196 | self._plotter.set_line(label=llab) |
---|
197 | if self._minmaxx is not None: |
---|
198 | s,e = self._slice_indeces(x) |
---|
199 | x = x[s:e] |
---|
200 | y = y[s:e] |
---|
201 | m = m[s:e] |
---|
202 | self._plotter.plot(x,y,m) |
---|
203 | xlim=[min(x),max(x)] |
---|
204 | if self._minmaxx is not None: |
---|
205 | xlim = self._minmaxx |
---|
206 | self._plotter.axes.set_xlim(xlim) |
---|
207 | self._plotter.set_axes('xlabel',xlab) |
---|
208 | self._plotter.set_axes('ylabel',ylab) |
---|
209 | self._plotter.set_axes('title',tlab) |
---|
210 | return |
---|
211 | |
---|
212 | def _plot_scans(self, scans, colmode): |
---|
213 | print "Can only plot one row per scan." |
---|
214 | if colmode == 's': |
---|
215 | return |
---|
216 | cdict = {'b':'scan.setbeam(j)', |
---|
217 | 'i':'scan.setif(j)', |
---|
218 | 'p':'scan.setpol(j)'} |
---|
219 | cdict2 = {'b':'self._cursor["b"]', |
---|
220 | 'i':'self._cursor["i"]', |
---|
221 | 'p':'self._cursor["p"]'} |
---|
222 | |
---|
223 | n = len(scans) |
---|
224 | ncol = 1 |
---|
225 | if self._stacking is not None: |
---|
226 | scan = scans[0] |
---|
227 | ncol = eval(self._cdict.get(colmode)) |
---|
228 | if n > 1: |
---|
229 | if self._rows and self._cols: |
---|
230 | n = min(n,self._rows*self._cols) |
---|
231 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
232 | nplots=n) |
---|
233 | else: |
---|
234 | self._plotter.set_panels(rows=n,cols=0,nplots=n) |
---|
235 | else: |
---|
236 | self._plotter.set_panels() |
---|
237 | |
---|
238 | for scan in scans: |
---|
239 | self._plotter.palette(0) |
---|
240 | if n > 1: |
---|
241 | self._plotter.subplot(scans.index(scan)) |
---|
242 | colvals = eval(cdict2.get(colmode)) |
---|
243 | rowsel = self._cursor["t"][0] |
---|
244 | for j in colvals: |
---|
245 | polmode = "raw" |
---|
246 | jj = colvals.index(j) |
---|
247 | savej = j |
---|
248 | for k in cdict.keys(): |
---|
249 | sel = eval(cdict2.get(k)) |
---|
250 | j = sel[0] |
---|
251 | eval(cdict.get(k)) |
---|
252 | if k == "p": |
---|
253 | which = self._cursor["p"].index(j) |
---|
254 | polmode = self._polmode[which] |
---|
255 | j = which |
---|
256 | j = savej |
---|
257 | if colmode == "p": |
---|
258 | polmode = self._polmode[self._cursor["p"].index(j)] |
---|
259 | #j = jj |
---|
260 | eval(cdict.get(colmode)) |
---|
261 | x = None |
---|
262 | y = None |
---|
263 | m = None |
---|
264 | tlab = self._title |
---|
265 | if not self._title: |
---|
266 | tlab = scan._getsourcename(rowsel) |
---|
267 | x,xlab = scan.get_abcissa(rowsel) |
---|
268 | if self._abcissa: xlab = self._abcissa |
---|
269 | if polmode == "stokes": |
---|
270 | y = scan._getstokesspectrum(rowsel) |
---|
271 | elif polmode == "stokes2": |
---|
272 | y = scan._getstokesspectrum(rowsel,True) |
---|
273 | elif polmode == "circular": |
---|
274 | y = scan._stokestopolspectrum(rowsel,False,-1) |
---|
275 | else: |
---|
276 | y = scan._getspectrum(rowsel) |
---|
277 | if self._ordinate: |
---|
278 | ylab = self._ordinate |
---|
279 | else: |
---|
280 | ylab = scan._get_ordinate_label() |
---|
281 | m = scan._getmask(rowsel) |
---|
282 | if self._datamask is not None: |
---|
283 | if len(m) == len(self._datamask): |
---|
284 | m = logical_and(m,self._datamask) |
---|
285 | if self._lmap and len(self._lmap) > 0: |
---|
286 | llab = self._lmap[jj] |
---|
287 | else: |
---|
288 | if colmode == 'p': |
---|
289 | llab = self._get_pollabel(scan, polmode) |
---|
290 | else: |
---|
291 | llab = self._ldict.get(colmode)+' '+str(j) |
---|
292 | self._plotter.set_line(label=llab) |
---|
293 | if self._minmaxx is not None: |
---|
294 | s,e = self._slice_indeces(x) |
---|
295 | x = x[s:e] |
---|
296 | y = y[s:e] |
---|
297 | m = m[s:e] |
---|
298 | |
---|
299 | self._plotter.plot(x,y,m) |
---|
300 | xlim=[min(x),max(x)] |
---|
301 | if self._minmaxx is not None: |
---|
302 | xlim = self._minmaxx |
---|
303 | self._plotter.axes.set_xlim(xlim) |
---|
304 | |
---|
305 | self._plotter.set_axes('xlabel',xlab) |
---|
306 | self._plotter.set_axes('ylabel',ylab) |
---|
307 | self._plotter.set_axes('title',tlab) |
---|
308 | return |
---|
309 | |
---|
310 | def _plot_other(self,scans,colmode): |
---|
311 | if colmode == self._panelling: |
---|
312 | return |
---|
313 | cdict = {'b':'scan.setbeam(i)', |
---|
314 | 'i':'scan.setif(i)', |
---|
315 | 'p':'scan.setpol(i)'} |
---|
316 | cdict2 = {'b':'self._cursor["b"]', |
---|
317 | 'i':'self._cursor["i"]', |
---|
318 | 'p':'self._cursor["p"]', |
---|
319 | 's': 'scans', |
---|
320 | 't': 'self._cursor["t"]'} |
---|
321 | scan = scans[0] |
---|
322 | n = eval(self._cdict.get(self._panelling)) |
---|
323 | ncol=1 |
---|
324 | if self._stacking is not None: |
---|
325 | ncol = eval(self._cdict.get(colmode)) |
---|
326 | if n > 1: |
---|
327 | if self._rows and self._cols: |
---|
328 | n = min(n,self._rows*self._cols) |
---|
329 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
330 | nplots=n) |
---|
331 | else: |
---|
332 | self._plotter.set_panels(rows=n,cols=0,nplots=n) |
---|
333 | else: |
---|
334 | self._plotter.set_panels() |
---|
335 | panels = self._cursor[self._panelling] |
---|
336 | for i in panels: |
---|
337 | self._plotter.palette(0) |
---|
338 | polmode = "raw" |
---|
339 | ii = self._cursor[self._panelling].index(i) |
---|
340 | if n>1: |
---|
341 | self._plotter.subplot(ii) |
---|
342 | if self._panelling == "p": |
---|
343 | polmode = self._polmode[ii] |
---|
344 | eval(cdict.get(self._panelling)) |
---|
345 | else: |
---|
346 | eval(cdict.get(self._panelling)) |
---|
347 | colvals = eval(cdict2.get(colmode)) |
---|
348 | for j in colvals: |
---|
349 | rowsel = self._cursor["t"][0] |
---|
350 | jj = colvals.index(j) |
---|
351 | savei = i |
---|
352 | for k in cdict.keys(): |
---|
353 | if k != self._panelling: |
---|
354 | sel = eval(cdict2.get(k)) |
---|
355 | i = sel[0] |
---|
356 | if k == "p": |
---|
357 | which = self._cursor["p"].index(i) |
---|
358 | polmode = self._polmode[which] |
---|
359 | i = which |
---|
360 | eval(cdict.get(k)) |
---|
361 | i = savei |
---|
362 | if colmode == 's': |
---|
363 | scan = j |
---|
364 | elif colmode == 't': |
---|
365 | rowsel = j |
---|
366 | else: |
---|
367 | savei = i |
---|
368 | if colmode == 'p': |
---|
369 | polmode = self._polmode[self._cursor["p"].index(j)] |
---|
370 | i = j |
---|
371 | eval(cdict.get(colmode)) |
---|
372 | i = savei |
---|
373 | x = None |
---|
374 | y = None |
---|
375 | m = None |
---|
376 | x,xlab = scan.get_abcissa(rowsel) |
---|
377 | if self._abcissa: xlab = self._abcissa |
---|
378 | if polmode == "stokes": |
---|
379 | y = scan._getstokesspectrum(rowsel) |
---|
380 | elif polmode == "stokes2": |
---|
381 | y = scan._getstokesspectrum(rowsel,True) |
---|
382 | elif polmode == "circular": |
---|
383 | y = scan._stokestopolspectrum(rowsel,False,-1) |
---|
384 | else: |
---|
385 | y = scan._getspectrum(rowsel) |
---|
386 | |
---|
387 | if self._ordinate: |
---|
388 | ylab = self._ordinate |
---|
389 | else: |
---|
390 | ylab = scan._get_ordinate_label() |
---|
391 | m = scan._getmask(rowsel) |
---|
392 | if self._datamask is not None: |
---|
393 | if len(m) == len(self._datamask): |
---|
394 | m = logical_and(m,self._datamask) |
---|
395 | if colmode == 's' or colmode == 't': |
---|
396 | if self._title and len(self._title) > 0: |
---|
397 | tlab = self._title[ii] |
---|
398 | else: |
---|
399 | if self._panelling == 'p': |
---|
400 | tlab = self._get_pollabel(scan, polmode) |
---|
401 | else: |
---|
402 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
---|
403 | if self._lmap and len(self._lmap) > 0: |
---|
404 | llab = self._lmap[jj] |
---|
405 | else: |
---|
406 | llab = scan._getsourcename(rowsel) |
---|
407 | else: |
---|
408 | if self._title and len(self._title) > 0: |
---|
409 | tlab = self._title[ii] |
---|
410 | else: |
---|
411 | if self._panelling == 'p': |
---|
412 | tlab = self._get_pollabel(scan, polmode) |
---|
413 | else: |
---|
414 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
---|
415 | if self._lmap and len(self._lmap) > 0: |
---|
416 | llab = self._lmap[jj] |
---|
417 | else: |
---|
418 | if colmode == 'p': |
---|
419 | llab = self._get_pollabel(scan, polmode) |
---|
420 | else: |
---|
421 | llab = self._ldict.get(colmode)+' '+str(j) |
---|
422 | self._plotter.set_line(label=llab) |
---|
423 | if self._minmaxx is not None: |
---|
424 | s,e = self._slice_indeces(x) |
---|
425 | x = x[s:e] |
---|
426 | y = y[s:e] |
---|
427 | m = m[s:e] |
---|
428 | |
---|
429 | self._plotter.plot(x,y,m) |
---|
430 | xlim=[min(x),max(x)] |
---|
431 | if self._minmaxx is not None: |
---|
432 | xlim = self._minmaxx |
---|
433 | self._plotter.axes.set_xlim(xlim) |
---|
434 | |
---|
435 | self._plotter.set_axes('xlabel',xlab) |
---|
436 | self._plotter.set_axes('ylabel',ylab) |
---|
437 | self._plotter.set_axes('title',tlab) |
---|
438 | |
---|
439 | return |
---|
440 | |
---|
441 | |
---|
442 | def set_mode(self, stacking=None, panelling=None): |
---|
443 | """ |
---|
444 | Set the plots look and feel, i.e. what you want to see on the plot. |
---|
445 | Parameters: |
---|
446 | stacking: tell the plotter which variable to plot |
---|
447 | as line colour overlays (default 'pol') |
---|
448 | panelling: tell the plotter which variable to plot |
---|
449 | across multiple panels (default 'scan' |
---|
450 | Note: |
---|
451 | Valid modes are: |
---|
452 | 'beam' 'Beam' 'b': Beams |
---|
453 | 'if' 'IF' 'i': IFs |
---|
454 | 'pol' 'Pol' 'p': Polarisations |
---|
455 | 'scan' 'Scan' 's': Scans |
---|
456 | 'time' 'Time' 't': Times |
---|
457 | """ |
---|
458 | if not self.set_panelling(panelling): |
---|
459 | print "Invalid mode" |
---|
460 | return |
---|
461 | if not self.set_stacking(stacking): |
---|
462 | print "Invalid mode" |
---|
463 | return |
---|
464 | if self._data: self.plot() |
---|
465 | return |
---|
466 | |
---|
467 | def set_panelling(self, what=None): |
---|
468 | mode = what |
---|
469 | if mode is None: |
---|
470 | mode = rcParams['plotter.panelling'] |
---|
471 | md = self._translate(mode) |
---|
472 | if md: |
---|
473 | self._panelling = md |
---|
474 | self._title = None |
---|
475 | return True |
---|
476 | return False |
---|
477 | |
---|
478 | def set_layout(self,rows=None,cols=None): |
---|
479 | """ |
---|
480 | Set the multi-panel layout, i.e. how many rows and columns plots |
---|
481 | are visible. |
---|
482 | Parameters: |
---|
483 | rows: The number of rows of plots |
---|
484 | cols: The number of columns of plots |
---|
485 | Note: |
---|
486 | If no argument is given, the potter reverts to its auto-plot |
---|
487 | behaviour. |
---|
488 | """ |
---|
489 | self._rows = rows |
---|
490 | self._cols = cols |
---|
491 | if self._data: self.plot() |
---|
492 | return |
---|
493 | |
---|
494 | def set_stacking(self, what=None): |
---|
495 | mode = what |
---|
496 | if mode is None: |
---|
497 | mode = rcParams['plotter.stacking'] |
---|
498 | md = self._translate(mode) |
---|
499 | if md: |
---|
500 | self._stacking = md |
---|
501 | self._lmap = None |
---|
502 | return True |
---|
503 | return False |
---|
504 | |
---|
505 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None): |
---|
506 | """ |
---|
507 | Set the range of interest on the abcissa of the plot |
---|
508 | Parameters: |
---|
509 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
---|
510 | Note: |
---|
511 | These become non-sensical when the unit changes. |
---|
512 | use plotter.set_range() without parameters to reset |
---|
513 | |
---|
514 | """ |
---|
515 | if xstart is None and xend is None: |
---|
516 | self._minmaxx = None |
---|
517 | else: |
---|
518 | self._minmaxx = [xstart,xend] |
---|
519 | if ystart is None and yend is None: |
---|
520 | self._minmaxy = None |
---|
521 | else: |
---|
522 | self._minmaxy = [ystart,yend] |
---|
523 | if self._data: self.plot() |
---|
524 | return |
---|
525 | |
---|
526 | def set_legend(self, mp=None): |
---|
527 | """ |
---|
528 | Specify a mapping for the legend instead of using the default |
---|
529 | indices: |
---|
530 | Parameters: |
---|
531 | mp: a list of 'strings'. This should have the same length |
---|
532 | as the number of elements on the legend and then maps |
---|
533 | to the indeces in order |
---|
534 | |
---|
535 | Example: |
---|
536 | If the data has two IFs/rest frequencies with index 0 and 1 |
---|
537 | for CO and SiO: |
---|
538 | plotter.set_stacking('i') |
---|
539 | plotter.set_legend_map(['CO','SiO']) |
---|
540 | plotter.plot() |
---|
541 | """ |
---|
542 | self._lmap = mp |
---|
543 | if self._data: self.plot() |
---|
544 | return |
---|
545 | |
---|
546 | def set_title(self, title=None): |
---|
547 | self._title = title |
---|
548 | if self._data: self.plot() |
---|
549 | return |
---|
550 | |
---|
551 | def set_ordinate(self, ordinate=None): |
---|
552 | self._ordinate = ordinate |
---|
553 | if self._data: self.plot() |
---|
554 | return |
---|
555 | |
---|
556 | def set_abcissa(self, abcissa=None): |
---|
557 | self._abcissa = abcissa |
---|
558 | if self._data: self.plot() |
---|
559 | return |
---|
560 | |
---|
561 | def save(self, filename=None, orientation=None,dpi=None): |
---|
562 | """ |
---|
563 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'. |
---|
564 | Parameters: |
---|
565 | filename: The name of the output file. This is optional |
---|
566 | and autodetects the image format from the file |
---|
567 | suffix. If non filename is specified a file |
---|
568 | called 'yyyymmdd_hhmmss.png' is created in the |
---|
569 | current directory. |
---|
570 | orientation: optional parameter for postscript only (not eps). |
---|
571 | 'landscape', 'portrait' or None (default) are valid. |
---|
572 | If None is choosen for 'ps' output, the plot is |
---|
573 | automatically oriented to fill the page. |
---|
574 | """ |
---|
575 | self._plotter.save(filename,orientation,dpi) |
---|
576 | return |
---|
577 | |
---|
578 | def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True): |
---|
579 | """ |
---|
580 | Specify a 'cursor' for plotting selected spectra. Time (rows), |
---|
581 | Beam, IF, Polarisation ranges can be specified. |
---|
582 | Parameters: |
---|
583 | Default for all paramaters is to select all available |
---|
584 | row: selects the rows (time stamps) to be plotted, this has |
---|
585 | to be a vector of row indices, e.g. row=[0,2,5] or row=[2] |
---|
586 | beam: select a range of beams |
---|
587 | IF: select a range of IFs |
---|
588 | pol: select Polarisations for plotting these can be by index |
---|
589 | (raw polarisations (default)) or by names any of: |
---|
590 | ["I", "Q", "U", "V"] or |
---|
591 | ["I", "Plinear", "Pangle", "V"] or |
---|
592 | ["XX", "YY", "Real(XY)", "Imag(XY)"] or |
---|
593 | ["RR", "LL"] |
---|
594 | Example: |
---|
595 | plotter.set_mode('pol','time') |
---|
596 | plotter.plot(myscan) # plots all raw polarisations colour stacked |
---|
597 | plotter.set_cursor(pol=["I"]) # plot "I" only for all rows |
---|
598 | # plot "I" only for two time stamps row=0 and row=2 |
---|
599 | plotter.set_cursor(row=[0,2],pol=["I"]) |
---|
600 | |
---|
601 | Note: |
---|
602 | Be careful to select only exisiting polarisations. |
---|
603 | """ |
---|
604 | if not self._data: |
---|
605 | print "Can only set cursor after a first call to plot()" |
---|
606 | return |
---|
607 | |
---|
608 | n = self._data[0].nrow() |
---|
609 | if row is None: |
---|
610 | self._cursor["t"] = range(n) |
---|
611 | else: |
---|
612 | for i in row: |
---|
613 | if i < 0 or i >= n: |
---|
614 | print "Row index '%d' out of range" % i |
---|
615 | return |
---|
616 | self._cursor["t"] = row |
---|
617 | |
---|
618 | n = self._data[0].nbeam() |
---|
619 | if beam is None: |
---|
620 | self._cursor["b"] = range(n) |
---|
621 | else: |
---|
622 | for i in beam: |
---|
623 | if i < 0 or i >= n: |
---|
624 | print "Beam index '%d' out of range" % i |
---|
625 | return |
---|
626 | self._cursor["b"] = beam |
---|
627 | |
---|
628 | n = self._data[0].nif() |
---|
629 | if IF is None: |
---|
630 | self._cursor["i"] = range(n) |
---|
631 | else: |
---|
632 | for i in IF: |
---|
633 | if i < 0 or i >= n: |
---|
634 | print "IF index '%d' out of range" %i |
---|
635 | return |
---|
636 | self._cursor["i"] = IF |
---|
637 | |
---|
638 | n = self._data[0].npol() |
---|
639 | dstokes = {"I":0,"Q":1,"U":2,"V":3} |
---|
640 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3} |
---|
641 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3} |
---|
642 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Image(RL)":3} |
---|
643 | |
---|
644 | if pol is None: |
---|
645 | self._cursor["p"] = range(n) |
---|
646 | self._polmode = ["raw" for i in range(n)] |
---|
647 | else: |
---|
648 | if isinstance(pol,str): |
---|
649 | pol = pol.split() |
---|
650 | polmode = [] |
---|
651 | pols = [] |
---|
652 | for i in pol: |
---|
653 | if isinstance(i,str): |
---|
654 | if draw.has_key(i): |
---|
655 | pols.append(draw.get(i)) |
---|
656 | polmode.append("raw") |
---|
657 | elif dstokes.has_key(i): |
---|
658 | pols.append(dstokes.get(i)) |
---|
659 | polmode.append("stokes") |
---|
660 | elif dstokes2.has_key(i): |
---|
661 | pols.append(dstokes2.get(i)) |
---|
662 | polmode.append("stokes2") |
---|
663 | elif dcirc.has_key(i): |
---|
664 | pols.append(dcirc.get(i)) |
---|
665 | polmode.append("circular") |
---|
666 | else: |
---|
667 | print "Pol type '%s' not valid" %i |
---|
668 | return |
---|
669 | elif 0 > i >= n: |
---|
670 | print "Pol index '%d' out of range" %i |
---|
671 | return |
---|
672 | else: |
---|
673 | pols.append(i) |
---|
674 | polmode.append("raw") |
---|
675 | self._cursor["p"] = pols |
---|
676 | self._polmode = polmode |
---|
677 | if self._data and refresh: self.plot() |
---|
678 | |
---|
679 | def _get_pollabel(self, scan, polmode): |
---|
680 | tlab = "" |
---|
681 | if polmode == "stokes": |
---|
682 | tlab = scan._getpolarizationlabel(0,1,0) |
---|
683 | elif polmode == "stokes2": |
---|
684 | tlab = scan._getpolarizationlabel(0,1,1) |
---|
685 | elif polmode == "circular": |
---|
686 | tlab = scan._getpolarizationlabel(0,0,0) |
---|
687 | else: |
---|
688 | tlab = scan._getpolarizationlabel(1,0,0) |
---|
689 | return tlab |
---|
690 | |
---|
691 | def _slice_indeces(self, data): |
---|
692 | mn = self._minmaxx[0] |
---|
693 | mx = self._minmaxx[1] |
---|
694 | asc = data[0] < data[-1] |
---|
695 | start=0 |
---|
696 | end = len(data)-1 |
---|
697 | inc = 1 |
---|
698 | if not asc: |
---|
699 | start = len(data)-1 |
---|
700 | end = 0 |
---|
701 | inc = -1 |
---|
702 | # find min index |
---|
703 | while data[start] < mn: |
---|
704 | start+= inc |
---|
705 | # find max index |
---|
706 | while data[end] > mx: |
---|
707 | end-=inc |
---|
708 | end +=1 |
---|
709 | if start > end: |
---|
710 | return end,start |
---|
711 | return start,end |
---|
712 | |
---|
713 | #if __name__ == '__main__': |
---|
714 | # plotter = asapplotter() |
---|