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