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